News and Views that Matter to Rheumatologists

Theme
medstat_rheum
Top Sections
Commentary
Video
rn
Main menu
RHEUM Main Menu
Explore menu
RHEUM Explore Menu
Proclivity ID
18813001
Unpublish
Specialty Focus
Psoriatic Arthritis
Spondyloarthropathies
Rheumatoid Arthritis
Osteoarthritis
Negative Keywords
gaming
gambling
compulsive behaviors
ammunition
assault rifle
black jack
Boko Haram
bondage
child abuse
cocaine
Daech
drug paraphernalia
explosion
gun
human trafficking
ISIL
ISIS
Islamic caliphate
Islamic state
mixed martial arts
MMA
molestation
national rifle association
NRA
nsfw
pedophile
pedophilia
poker
porn
pornography
psychedelic drug
recreational drug
sex slave rings
slot machine
terrorism
terrorist
Texas hold 'em
UFC
substance abuse
abuseed
abuseer
abusees
abuseing
abusely
abuses
aeolus
aeolused
aeoluser
aeoluses
aeolusing
aeolusly
aeoluss
ahole
aholeed
aholeer
aholees
aholeing
aholely
aholes
alcohol
alcoholed
alcoholer
alcoholes
alcoholing
alcoholly
alcohols
allman
allmaned
allmaner
allmanes
allmaning
allmanly
allmans
alted
altes
alting
altly
alts
analed
analer
anales
analing
anally
analprobe
analprobeed
analprobeer
analprobees
analprobeing
analprobely
analprobes
anals
anilingus
anilingused
anilinguser
anilinguses
anilingusing
anilingusly
anilinguss
anus
anused
anuser
anuses
anusing
anusly
anuss
areola
areolaed
areolaer
areolaes
areolaing
areolaly
areolas
areole
areoleed
areoleer
areolees
areoleing
areolely
areoles
arian
arianed
arianer
arianes
arianing
arianly
arians
aryan
aryaned
aryaner
aryanes
aryaning
aryanly
aryans
asiaed
asiaer
asiaes
asiaing
asialy
asias
ass
ass hole
ass lick
ass licked
ass licker
ass lickes
ass licking
ass lickly
ass licks
assbang
assbanged
assbangeded
assbangeder
assbangedes
assbangeding
assbangedly
assbangeds
assbanger
assbanges
assbanging
assbangly
assbangs
assbangsed
assbangser
assbangses
assbangsing
assbangsly
assbangss
assed
asser
asses
assesed
asseser
asseses
assesing
assesly
assess
assfuck
assfucked
assfucker
assfuckered
assfuckerer
assfuckeres
assfuckering
assfuckerly
assfuckers
assfuckes
assfucking
assfuckly
assfucks
asshat
asshated
asshater
asshates
asshating
asshatly
asshats
assholeed
assholeer
assholees
assholeing
assholely
assholes
assholesed
assholeser
assholeses
assholesing
assholesly
assholess
assing
assly
assmaster
assmastered
assmasterer
assmasteres
assmastering
assmasterly
assmasters
assmunch
assmunched
assmuncher
assmunches
assmunching
assmunchly
assmunchs
asss
asswipe
asswipeed
asswipeer
asswipees
asswipeing
asswipely
asswipes
asswipesed
asswipeser
asswipeses
asswipesing
asswipesly
asswipess
azz
azzed
azzer
azzes
azzing
azzly
azzs
babeed
babeer
babees
babeing
babely
babes
babesed
babeser
babeses
babesing
babesly
babess
ballsac
ballsaced
ballsacer
ballsaces
ballsacing
ballsack
ballsacked
ballsacker
ballsackes
ballsacking
ballsackly
ballsacks
ballsacly
ballsacs
ballsed
ballser
ballses
ballsing
ballsly
ballss
barf
barfed
barfer
barfes
barfing
barfly
barfs
bastard
bastarded
bastarder
bastardes
bastarding
bastardly
bastards
bastardsed
bastardser
bastardses
bastardsing
bastardsly
bastardss
bawdy
bawdyed
bawdyer
bawdyes
bawdying
bawdyly
bawdys
beaner
beanered
beanerer
beaneres
beanering
beanerly
beaners
beardedclam
beardedclamed
beardedclamer
beardedclames
beardedclaming
beardedclamly
beardedclams
beastiality
beastialityed
beastialityer
beastialityes
beastialitying
beastialityly
beastialitys
beatch
beatched
beatcher
beatches
beatching
beatchly
beatchs
beater
beatered
beaterer
beateres
beatering
beaterly
beaters
beered
beerer
beeres
beering
beerly
beeyotch
beeyotched
beeyotcher
beeyotches
beeyotching
beeyotchly
beeyotchs
beotch
beotched
beotcher
beotches
beotching
beotchly
beotchs
biatch
biatched
biatcher
biatches
biatching
biatchly
biatchs
big tits
big titsed
big titser
big titses
big titsing
big titsly
big titss
bigtits
bigtitsed
bigtitser
bigtitses
bigtitsing
bigtitsly
bigtitss
bimbo
bimboed
bimboer
bimboes
bimboing
bimboly
bimbos
bisexualed
bisexualer
bisexuales
bisexualing
bisexually
bisexuals
bitch
bitched
bitcheded
bitcheder
bitchedes
bitcheding
bitchedly
bitcheds
bitcher
bitches
bitchesed
bitcheser
bitcheses
bitchesing
bitchesly
bitchess
bitching
bitchly
bitchs
bitchy
bitchyed
bitchyer
bitchyes
bitchying
bitchyly
bitchys
bleached
bleacher
bleaches
bleaching
bleachly
bleachs
blow job
blow jobed
blow jober
blow jobes
blow jobing
blow jobly
blow jobs
blowed
blower
blowes
blowing
blowjob
blowjobed
blowjober
blowjobes
blowjobing
blowjobly
blowjobs
blowjobsed
blowjobser
blowjobses
blowjobsing
blowjobsly
blowjobss
blowly
blows
boink
boinked
boinker
boinkes
boinking
boinkly
boinks
bollock
bollocked
bollocker
bollockes
bollocking
bollockly
bollocks
bollocksed
bollockser
bollockses
bollocksing
bollocksly
bollockss
bollok
bolloked
bolloker
bollokes
bolloking
bollokly
bolloks
boner
bonered
bonerer
boneres
bonering
bonerly
boners
bonersed
bonerser
bonerses
bonersing
bonersly
bonerss
bong
bonged
bonger
bonges
bonging
bongly
bongs
boob
boobed
boober
boobes
boobies
boobiesed
boobieser
boobieses
boobiesing
boobiesly
boobiess
boobing
boobly
boobs
boobsed
boobser
boobses
boobsing
boobsly
boobss
booby
boobyed
boobyer
boobyes
boobying
boobyly
boobys
booger
boogered
boogerer
boogeres
boogering
boogerly
boogers
bookie
bookieed
bookieer
bookiees
bookieing
bookiely
bookies
bootee
booteeed
booteeer
booteees
booteeing
booteely
bootees
bootie
bootieed
bootieer
bootiees
bootieing
bootiely
booties
booty
bootyed
bootyer
bootyes
bootying
bootyly
bootys
boozeed
boozeer
boozees
boozeing
boozely
boozer
boozered
boozerer
boozeres
boozering
boozerly
boozers
boozes
boozy
boozyed
boozyer
boozyes
boozying
boozyly
boozys
bosomed
bosomer
bosomes
bosoming
bosomly
bosoms
bosomy
bosomyed
bosomyer
bosomyes
bosomying
bosomyly
bosomys
bugger
buggered
buggerer
buggeres
buggering
buggerly
buggers
bukkake
bukkakeed
bukkakeer
bukkakees
bukkakeing
bukkakely
bukkakes
bull shit
bull shited
bull shiter
bull shites
bull shiting
bull shitly
bull shits
bullshit
bullshited
bullshiter
bullshites
bullshiting
bullshitly
bullshits
bullshitsed
bullshitser
bullshitses
bullshitsing
bullshitsly
bullshitss
bullshitted
bullshitteded
bullshitteder
bullshittedes
bullshitteding
bullshittedly
bullshitteds
bullturds
bullturdsed
bullturdser
bullturdses
bullturdsing
bullturdsly
bullturdss
bung
bunged
bunger
bunges
bunging
bungly
bungs
busty
bustyed
bustyer
bustyes
bustying
bustyly
bustys
butt
butt fuck
butt fucked
butt fucker
butt fuckes
butt fucking
butt fuckly
butt fucks
butted
buttes
buttfuck
buttfucked
buttfucker
buttfuckered
buttfuckerer
buttfuckeres
buttfuckering
buttfuckerly
buttfuckers
buttfuckes
buttfucking
buttfuckly
buttfucks
butting
buttly
buttplug
buttpluged
buttpluger
buttpluges
buttpluging
buttplugly
buttplugs
butts
caca
cacaed
cacaer
cacaes
cacaing
cacaly
cacas
cahone
cahoneed
cahoneer
cahonees
cahoneing
cahonely
cahones
cameltoe
cameltoeed
cameltoeer
cameltoees
cameltoeing
cameltoely
cameltoes
carpetmuncher
carpetmunchered
carpetmuncherer
carpetmuncheres
carpetmunchering
carpetmuncherly
carpetmunchers
cawk
cawked
cawker
cawkes
cawking
cawkly
cawks
chinc
chinced
chincer
chinces
chincing
chincly
chincs
chincsed
chincser
chincses
chincsing
chincsly
chincss
chink
chinked
chinker
chinkes
chinking
chinkly
chinks
chode
chodeed
chodeer
chodees
chodeing
chodely
chodes
chodesed
chodeser
chodeses
chodesing
chodesly
chodess
clit
clited
cliter
clites
cliting
clitly
clitoris
clitorised
clitoriser
clitorises
clitorising
clitorisly
clitoriss
clitorus
clitorused
clitoruser
clitoruses
clitorusing
clitorusly
clitoruss
clits
clitsed
clitser
clitses
clitsing
clitsly
clitss
clitty
clittyed
clittyer
clittyes
clittying
clittyly
clittys
cocain
cocaine
cocained
cocaineed
cocaineer
cocainees
cocaineing
cocainely
cocainer
cocaines
cocaining
cocainly
cocains
cock
cock sucker
cock suckered
cock suckerer
cock suckeres
cock suckering
cock suckerly
cock suckers
cockblock
cockblocked
cockblocker
cockblockes
cockblocking
cockblockly
cockblocks
cocked
cocker
cockes
cockholster
cockholstered
cockholsterer
cockholsteres
cockholstering
cockholsterly
cockholsters
cocking
cockknocker
cockknockered
cockknockerer
cockknockeres
cockknockering
cockknockerly
cockknockers
cockly
cocks
cocksed
cockser
cockses
cocksing
cocksly
cocksmoker
cocksmokered
cocksmokerer
cocksmokeres
cocksmokering
cocksmokerly
cocksmokers
cockss
cocksucker
cocksuckered
cocksuckerer
cocksuckeres
cocksuckering
cocksuckerly
cocksuckers
coital
coitaled
coitaler
coitales
coitaling
coitally
coitals
commie
commieed
commieer
commiees
commieing
commiely
commies
condomed
condomer
condomes
condoming
condomly
condoms
coon
cooned
cooner
coones
cooning
coonly
coons
coonsed
coonser
coonses
coonsing
coonsly
coonss
corksucker
corksuckered
corksuckerer
corksuckeres
corksuckering
corksuckerly
corksuckers
cracked
crackwhore
crackwhoreed
crackwhoreer
crackwhorees
crackwhoreing
crackwhorely
crackwhores
crap
craped
craper
crapes
craping
craply
crappy
crappyed
crappyer
crappyes
crappying
crappyly
crappys
cum
cumed
cumer
cumes
cuming
cumly
cummin
cummined
cumminer
cummines
cumming
cumminged
cumminger
cumminges
cumminging
cummingly
cummings
cummining
cumminly
cummins
cums
cumshot
cumshoted
cumshoter
cumshotes
cumshoting
cumshotly
cumshots
cumshotsed
cumshotser
cumshotses
cumshotsing
cumshotsly
cumshotss
cumslut
cumsluted
cumsluter
cumslutes
cumsluting
cumslutly
cumsluts
cumstain
cumstained
cumstainer
cumstaines
cumstaining
cumstainly
cumstains
cunilingus
cunilingused
cunilinguser
cunilinguses
cunilingusing
cunilingusly
cunilinguss
cunnilingus
cunnilingused
cunnilinguser
cunnilinguses
cunnilingusing
cunnilingusly
cunnilinguss
cunny
cunnyed
cunnyer
cunnyes
cunnying
cunnyly
cunnys
cunt
cunted
cunter
cuntes
cuntface
cuntfaceed
cuntfaceer
cuntfacees
cuntfaceing
cuntfacely
cuntfaces
cunthunter
cunthuntered
cunthunterer
cunthunteres
cunthuntering
cunthunterly
cunthunters
cunting
cuntlick
cuntlicked
cuntlicker
cuntlickered
cuntlickerer
cuntlickeres
cuntlickering
cuntlickerly
cuntlickers
cuntlickes
cuntlicking
cuntlickly
cuntlicks
cuntly
cunts
cuntsed
cuntser
cuntses
cuntsing
cuntsly
cuntss
dago
dagoed
dagoer
dagoes
dagoing
dagoly
dagos
dagosed
dagoser
dagoses
dagosing
dagosly
dagoss
dammit
dammited
dammiter
dammites
dammiting
dammitly
dammits
damn
damned
damneded
damneder
damnedes
damneding
damnedly
damneds
damner
damnes
damning
damnit
damnited
damniter
damnites
damniting
damnitly
damnits
damnly
damns
dick
dickbag
dickbaged
dickbager
dickbages
dickbaging
dickbagly
dickbags
dickdipper
dickdippered
dickdipperer
dickdipperes
dickdippering
dickdipperly
dickdippers
dicked
dicker
dickes
dickface
dickfaceed
dickfaceer
dickfacees
dickfaceing
dickfacely
dickfaces
dickflipper
dickflippered
dickflipperer
dickflipperes
dickflippering
dickflipperly
dickflippers
dickhead
dickheaded
dickheader
dickheades
dickheading
dickheadly
dickheads
dickheadsed
dickheadser
dickheadses
dickheadsing
dickheadsly
dickheadss
dicking
dickish
dickished
dickisher
dickishes
dickishing
dickishly
dickishs
dickly
dickripper
dickrippered
dickripperer
dickripperes
dickrippering
dickripperly
dickrippers
dicks
dicksipper
dicksippered
dicksipperer
dicksipperes
dicksippering
dicksipperly
dicksippers
dickweed
dickweeded
dickweeder
dickweedes
dickweeding
dickweedly
dickweeds
dickwhipper
dickwhippered
dickwhipperer
dickwhipperes
dickwhippering
dickwhipperly
dickwhippers
dickzipper
dickzippered
dickzipperer
dickzipperes
dickzippering
dickzipperly
dickzippers
diddle
diddleed
diddleer
diddlees
diddleing
diddlely
diddles
dike
dikeed
dikeer
dikees
dikeing
dikely
dikes
dildo
dildoed
dildoer
dildoes
dildoing
dildoly
dildos
dildosed
dildoser
dildoses
dildosing
dildosly
dildoss
diligaf
diligafed
diligafer
diligafes
diligafing
diligafly
diligafs
dillweed
dillweeded
dillweeder
dillweedes
dillweeding
dillweedly
dillweeds
dimwit
dimwited
dimwiter
dimwites
dimwiting
dimwitly
dimwits
dingle
dingleed
dingleer
dinglees
dingleing
dinglely
dingles
dipship
dipshiped
dipshiper
dipshipes
dipshiping
dipshiply
dipships
dizzyed
dizzyer
dizzyes
dizzying
dizzyly
dizzys
doggiestyleed
doggiestyleer
doggiestylees
doggiestyleing
doggiestylely
doggiestyles
doggystyleed
doggystyleer
doggystylees
doggystyleing
doggystylely
doggystyles
dong
donged
donger
donges
donging
dongly
dongs
doofus
doofused
doofuser
doofuses
doofusing
doofusly
doofuss
doosh
dooshed
doosher
dooshes
dooshing
dooshly
dooshs
dopeyed
dopeyer
dopeyes
dopeying
dopeyly
dopeys
douchebag
douchebaged
douchebager
douchebages
douchebaging
douchebagly
douchebags
douchebagsed
douchebagser
douchebagses
douchebagsing
douchebagsly
douchebagss
doucheed
doucheer
douchees
doucheing
douchely
douches
douchey
doucheyed
doucheyer
doucheyes
doucheying
doucheyly
doucheys
drunk
drunked
drunker
drunkes
drunking
drunkly
drunks
dumass
dumassed
dumasser
dumasses
dumassing
dumassly
dumasss
dumbass
dumbassed
dumbasser
dumbasses
dumbassesed
dumbasseser
dumbasseses
dumbassesing
dumbassesly
dumbassess
dumbassing
dumbassly
dumbasss
dummy
dummyed
dummyer
dummyes
dummying
dummyly
dummys
dyke
dykeed
dykeer
dykees
dykeing
dykely
dykes
dykesed
dykeser
dykeses
dykesing
dykesly
dykess
erotic
eroticed
eroticer
erotices
eroticing
eroticly
erotics
extacy
extacyed
extacyer
extacyes
extacying
extacyly
extacys
extasy
extasyed
extasyer
extasyes
extasying
extasyly
extasys
fack
facked
facker
fackes
facking
fackly
facks
fag
faged
fager
fages
fagg
fagged
faggeded
faggeder
faggedes
faggeding
faggedly
faggeds
fagger
fagges
fagging
faggit
faggited
faggiter
faggites
faggiting
faggitly
faggits
faggly
faggot
faggoted
faggoter
faggotes
faggoting
faggotly
faggots
faggs
faging
fagly
fagot
fagoted
fagoter
fagotes
fagoting
fagotly
fagots
fags
fagsed
fagser
fagses
fagsing
fagsly
fagss
faig
faiged
faiger
faiges
faiging
faigly
faigs
faigt
faigted
faigter
faigtes
faigting
faigtly
faigts
fannybandit
fannybandited
fannybanditer
fannybandites
fannybanditing
fannybanditly
fannybandits
farted
farter
fartes
farting
fartknocker
fartknockered
fartknockerer
fartknockeres
fartknockering
fartknockerly
fartknockers
fartly
farts
felch
felched
felcher
felchered
felcherer
felcheres
felchering
felcherly
felchers
felches
felching
felchinged
felchinger
felchinges
felchinging
felchingly
felchings
felchly
felchs
fellate
fellateed
fellateer
fellatees
fellateing
fellately
fellates
fellatio
fellatioed
fellatioer
fellatioes
fellatioing
fellatioly
fellatios
feltch
feltched
feltcher
feltchered
feltcherer
feltcheres
feltchering
feltcherly
feltchers
feltches
feltching
feltchly
feltchs
feom
feomed
feomer
feomes
feoming
feomly
feoms
fisted
fisteded
fisteder
fistedes
fisteding
fistedly
fisteds
fisting
fistinged
fistinger
fistinges
fistinging
fistingly
fistings
fisty
fistyed
fistyer
fistyes
fistying
fistyly
fistys
floozy
floozyed
floozyer
floozyes
floozying
floozyly
floozys
foad
foaded
foader
foades
foading
foadly
foads
fondleed
fondleer
fondlees
fondleing
fondlely
fondles
foobar
foobared
foobarer
foobares
foobaring
foobarly
foobars
freex
freexed
freexer
freexes
freexing
freexly
freexs
frigg
frigga
friggaed
friggaer
friggaes
friggaing
friggaly
friggas
frigged
frigger
frigges
frigging
friggly
friggs
fubar
fubared
fubarer
fubares
fubaring
fubarly
fubars
fuck
fuckass
fuckassed
fuckasser
fuckasses
fuckassing
fuckassly
fuckasss
fucked
fuckeded
fuckeder
fuckedes
fuckeding
fuckedly
fuckeds
fucker
fuckered
fuckerer
fuckeres
fuckering
fuckerly
fuckers
fuckes
fuckface
fuckfaceed
fuckfaceer
fuckfacees
fuckfaceing
fuckfacely
fuckfaces
fuckin
fuckined
fuckiner
fuckines
fucking
fuckinged
fuckinger
fuckinges
fuckinging
fuckingly
fuckings
fuckining
fuckinly
fuckins
fuckly
fucknugget
fucknuggeted
fucknuggeter
fucknuggetes
fucknuggeting
fucknuggetly
fucknuggets
fucknut
fucknuted
fucknuter
fucknutes
fucknuting
fucknutly
fucknuts
fuckoff
fuckoffed
fuckoffer
fuckoffes
fuckoffing
fuckoffly
fuckoffs
fucks
fucksed
fuckser
fuckses
fucksing
fucksly
fuckss
fucktard
fucktarded
fucktarder
fucktardes
fucktarding
fucktardly
fucktards
fuckup
fuckuped
fuckuper
fuckupes
fuckuping
fuckuply
fuckups
fuckwad
fuckwaded
fuckwader
fuckwades
fuckwading
fuckwadly
fuckwads
fuckwit
fuckwited
fuckwiter
fuckwites
fuckwiting
fuckwitly
fuckwits
fudgepacker
fudgepackered
fudgepackerer
fudgepackeres
fudgepackering
fudgepackerly
fudgepackers
fuk
fuked
fuker
fukes
fuking
fukly
fuks
fvck
fvcked
fvcker
fvckes
fvcking
fvckly
fvcks
fxck
fxcked
fxcker
fxckes
fxcking
fxckly
fxcks
gae
gaeed
gaeer
gaees
gaeing
gaely
gaes
gai
gaied
gaier
gaies
gaiing
gaily
gais
ganja
ganjaed
ganjaer
ganjaes
ganjaing
ganjaly
ganjas
gayed
gayer
gayes
gaying
gayly
gays
gaysed
gayser
gayses
gaysing
gaysly
gayss
gey
geyed
geyer
geyes
geying
geyly
geys
gfc
gfced
gfcer
gfces
gfcing
gfcly
gfcs
gfy
gfyed
gfyer
gfyes
gfying
gfyly
gfys
ghay
ghayed
ghayer
ghayes
ghaying
ghayly
ghays
ghey
gheyed
gheyer
gheyes
gheying
gheyly
gheys
gigolo
gigoloed
gigoloer
gigoloes
gigoloing
gigololy
gigolos
goatse
goatseed
goatseer
goatsees
goatseing
goatsely
goatses
godamn
godamned
godamner
godamnes
godamning
godamnit
godamnited
godamniter
godamnites
godamniting
godamnitly
godamnits
godamnly
godamns
goddam
goddamed
goddamer
goddames
goddaming
goddamly
goddammit
goddammited
goddammiter
goddammites
goddammiting
goddammitly
goddammits
goddamn
goddamned
goddamner
goddamnes
goddamning
goddamnly
goddamns
goddams
goldenshower
goldenshowered
goldenshowerer
goldenshoweres
goldenshowering
goldenshowerly
goldenshowers
gonad
gonaded
gonader
gonades
gonading
gonadly
gonads
gonadsed
gonadser
gonadses
gonadsing
gonadsly
gonadss
gook
gooked
gooker
gookes
gooking
gookly
gooks
gooksed
gookser
gookses
gooksing
gooksly
gookss
gringo
gringoed
gringoer
gringoes
gringoing
gringoly
gringos
gspot
gspoted
gspoter
gspotes
gspoting
gspotly
gspots
gtfo
gtfoed
gtfoer
gtfoes
gtfoing
gtfoly
gtfos
guido
guidoed
guidoer
guidoes
guidoing
guidoly
guidos
handjob
handjobed
handjober
handjobes
handjobing
handjobly
handjobs
hard on
hard oned
hard oner
hard ones
hard oning
hard only
hard ons
hardknight
hardknighted
hardknighter
hardknightes
hardknighting
hardknightly
hardknights
hebe
hebeed
hebeer
hebees
hebeing
hebely
hebes
heeb
heebed
heeber
heebes
heebing
heebly
heebs
hell
helled
heller
helles
helling
hellly
hells
hemp
hemped
hemper
hempes
hemping
hemply
hemps
heroined
heroiner
heroines
heroining
heroinly
heroins
herp
herped
herper
herpes
herpesed
herpeser
herpeses
herpesing
herpesly
herpess
herping
herply
herps
herpy
herpyed
herpyer
herpyes
herpying
herpyly
herpys
hitler
hitlered
hitlerer
hitleres
hitlering
hitlerly
hitlers
hived
hiver
hives
hiving
hivly
hivs
hobag
hobaged
hobager
hobages
hobaging
hobagly
hobags
homey
homeyed
homeyer
homeyes
homeying
homeyly
homeys
homo
homoed
homoer
homoes
homoey
homoeyed
homoeyer
homoeyes
homoeying
homoeyly
homoeys
homoing
homoly
homos
honky
honkyed
honkyer
honkyes
honkying
honkyly
honkys
hooch
hooched
hoocher
hooches
hooching
hoochly
hoochs
hookah
hookahed
hookaher
hookahes
hookahing
hookahly
hookahs
hooker
hookered
hookerer
hookeres
hookering
hookerly
hookers
hoor
hoored
hoorer
hoores
hooring
hoorly
hoors
hootch
hootched
hootcher
hootches
hootching
hootchly
hootchs
hooter
hootered
hooterer
hooteres
hootering
hooterly
hooters
hootersed
hooterser
hooterses
hootersing
hootersly
hooterss
horny
hornyed
hornyer
hornyes
hornying
hornyly
hornys
houstoned
houstoner
houstones
houstoning
houstonly
houstons
hump
humped
humpeded
humpeder
humpedes
humpeding
humpedly
humpeds
humper
humpes
humping
humpinged
humpinger
humpinges
humpinging
humpingly
humpings
humply
humps
husbanded
husbander
husbandes
husbanding
husbandly
husbands
hussy
hussyed
hussyer
hussyes
hussying
hussyly
hussys
hymened
hymener
hymenes
hymening
hymenly
hymens
inbred
inbreded
inbreder
inbredes
inbreding
inbredly
inbreds
incest
incested
incester
incestes
incesting
incestly
incests
injun
injuned
injuner
injunes
injuning
injunly
injuns
jackass
jackassed
jackasser
jackasses
jackassing
jackassly
jackasss
jackhole
jackholeed
jackholeer
jackholees
jackholeing
jackholely
jackholes
jackoff
jackoffed
jackoffer
jackoffes
jackoffing
jackoffly
jackoffs
jap
japed
japer
japes
japing
japly
japs
japsed
japser
japses
japsing
japsly
japss
jerkoff
jerkoffed
jerkoffer
jerkoffes
jerkoffing
jerkoffly
jerkoffs
jerks
jism
jismed
jismer
jismes
jisming
jismly
jisms
jiz
jized
jizer
jizes
jizing
jizly
jizm
jizmed
jizmer
jizmes
jizming
jizmly
jizms
jizs
jizz
jizzed
jizzeded
jizzeder
jizzedes
jizzeding
jizzedly
jizzeds
jizzer
jizzes
jizzing
jizzly
jizzs
junkie
junkieed
junkieer
junkiees
junkieing
junkiely
junkies
junky
junkyed
junkyer
junkyes
junkying
junkyly
junkys
kike
kikeed
kikeer
kikees
kikeing
kikely
kikes
kikesed
kikeser
kikeses
kikesing
kikesly
kikess
killed
killer
killes
killing
killly
kills
kinky
kinkyed
kinkyer
kinkyes
kinkying
kinkyly
kinkys
kkk
kkked
kkker
kkkes
kkking
kkkly
kkks
klan
klaned
klaner
klanes
klaning
klanly
klans
knobend
knobended
knobender
knobendes
knobending
knobendly
knobends
kooch
kooched
koocher
kooches
koochesed
koocheser
koocheses
koochesing
koochesly
koochess
kooching
koochly
koochs
kootch
kootched
kootcher
kootches
kootching
kootchly
kootchs
kraut
krauted
krauter
krautes
krauting
krautly
krauts
kyke
kykeed
kykeer
kykees
kykeing
kykely
kykes
lech
leched
lecher
leches
leching
lechly
lechs
leper
lepered
leperer
leperes
lepering
leperly
lepers
lesbiansed
lesbianser
lesbianses
lesbiansing
lesbiansly
lesbianss
lesbo
lesboed
lesboer
lesboes
lesboing
lesboly
lesbos
lesbosed
lesboser
lesboses
lesbosing
lesbosly
lesboss
lez
lezbianed
lezbianer
lezbianes
lezbianing
lezbianly
lezbians
lezbiansed
lezbianser
lezbianses
lezbiansing
lezbiansly
lezbianss
lezbo
lezboed
lezboer
lezboes
lezboing
lezboly
lezbos
lezbosed
lezboser
lezboses
lezbosing
lezbosly
lezboss
lezed
lezer
lezes
lezing
lezly
lezs
lezzie
lezzieed
lezzieer
lezziees
lezzieing
lezziely
lezzies
lezziesed
lezzieser
lezzieses
lezziesing
lezziesly
lezziess
lezzy
lezzyed
lezzyer
lezzyes
lezzying
lezzyly
lezzys
lmaoed
lmaoer
lmaoes
lmaoing
lmaoly
lmaos
lmfao
lmfaoed
lmfaoer
lmfaoes
lmfaoing
lmfaoly
lmfaos
loined
loiner
loines
loining
loinly
loins
loinsed
loinser
loinses
loinsing
loinsly
loinss
lubeed
lubeer
lubees
lubeing
lubely
lubes
lusty
lustyed
lustyer
lustyes
lustying
lustyly
lustys
massa
massaed
massaer
massaes
massaing
massaly
massas
masterbate
masterbateed
masterbateer
masterbatees
masterbateing
masterbately
masterbates
masterbating
masterbatinged
masterbatinger
masterbatinges
masterbatinging
masterbatingly
masterbatings
masterbation
masterbationed
masterbationer
masterbationes
masterbationing
masterbationly
masterbations
masturbate
masturbateed
masturbateer
masturbatees
masturbateing
masturbately
masturbates
masturbating
masturbatinged
masturbatinger
masturbatinges
masturbatinging
masturbatingly
masturbatings
masturbation
masturbationed
masturbationer
masturbationes
masturbationing
masturbationly
masturbations
methed
mether
methes
mething
methly
meths
militaryed
militaryer
militaryes
militarying
militaryly
militarys
mofo
mofoed
mofoer
mofoes
mofoing
mofoly
mofos
molest
molested
molester
molestes
molesting
molestly
molests
moolie
moolieed
moolieer
mooliees
moolieing
mooliely
moolies
moron
moroned
moroner
morones
moroning
moronly
morons
motherfucka
motherfuckaed
motherfuckaer
motherfuckaes
motherfuckaing
motherfuckaly
motherfuckas
motherfucker
motherfuckered
motherfuckerer
motherfuckeres
motherfuckering
motherfuckerly
motherfuckers
motherfucking
motherfuckinged
motherfuckinger
motherfuckinges
motherfuckinging
motherfuckingly
motherfuckings
mtherfucker
mtherfuckered
mtherfuckerer
mtherfuckeres
mtherfuckering
mtherfuckerly
mtherfuckers
mthrfucker
mthrfuckered
mthrfuckerer
mthrfuckeres
mthrfuckering
mthrfuckerly
mthrfuckers
mthrfucking
mthrfuckinged
mthrfuckinger
mthrfuckinges
mthrfuckinging
mthrfuckingly
mthrfuckings
muff
muffdiver
muffdivered
muffdiverer
muffdiveres
muffdivering
muffdiverly
muffdivers
muffed
muffer
muffes
muffing
muffly
muffs
murdered
murderer
murderes
murdering
murderly
murders
muthafuckaz
muthafuckazed
muthafuckazer
muthafuckazes
muthafuckazing
muthafuckazly
muthafuckazs
muthafucker
muthafuckered
muthafuckerer
muthafuckeres
muthafuckering
muthafuckerly
muthafuckers
mutherfucker
mutherfuckered
mutherfuckerer
mutherfuckeres
mutherfuckering
mutherfuckerly
mutherfuckers
mutherfucking
mutherfuckinged
mutherfuckinger
mutherfuckinges
mutherfuckinging
mutherfuckingly
mutherfuckings
muthrfucking
muthrfuckinged
muthrfuckinger
muthrfuckinges
muthrfuckinging
muthrfuckingly
muthrfuckings
nad
naded
nader
nades
nading
nadly
nads
nadsed
nadser
nadses
nadsing
nadsly
nadss
nakeded
nakeder
nakedes
nakeding
nakedly
nakeds
napalm
napalmed
napalmer
napalmes
napalming
napalmly
napalms
nappy
nappyed
nappyer
nappyes
nappying
nappyly
nappys
nazi
nazied
nazier
nazies
naziing
nazily
nazis
nazism
nazismed
nazismer
nazismes
nazisming
nazismly
nazisms
negro
negroed
negroer
negroes
negroing
negroly
negros
nigga
niggaed
niggaer
niggaes
niggah
niggahed
niggaher
niggahes
niggahing
niggahly
niggahs
niggaing
niggaly
niggas
niggased
niggaser
niggases
niggasing
niggasly
niggass
niggaz
niggazed
niggazer
niggazes
niggazing
niggazly
niggazs
nigger
niggered
niggerer
niggeres
niggering
niggerly
niggers
niggersed
niggerser
niggerses
niggersing
niggersly
niggerss
niggle
niggleed
niggleer
nigglees
niggleing
nigglely
niggles
niglet
nigleted
nigleter
nigletes
nigleting
nigletly
niglets
nimrod
nimroded
nimroder
nimrodes
nimroding
nimrodly
nimrods
ninny
ninnyed
ninnyer
ninnyes
ninnying
ninnyly
ninnys
nooky
nookyed
nookyer
nookyes
nookying
nookyly
nookys
nuccitelli
nuccitellied
nuccitellier
nuccitellies
nuccitelliing
nuccitellily
nuccitellis
nympho
nymphoed
nymphoer
nymphoes
nymphoing
nympholy
nymphos
opium
opiumed
opiumer
opiumes
opiuming
opiumly
opiums
orgies
orgiesed
orgieser
orgieses
orgiesing
orgiesly
orgiess
orgy
orgyed
orgyer
orgyes
orgying
orgyly
orgys
paddy
paddyed
paddyer
paddyes
paddying
paddyly
paddys
paki
pakied
pakier
pakies
pakiing
pakily
pakis
pantie
pantieed
pantieer
pantiees
pantieing
pantiely
panties
pantiesed
pantieser
pantieses
pantiesing
pantiesly
pantiess
panty
pantyed
pantyer
pantyes
pantying
pantyly
pantys
pastie
pastieed
pastieer
pastiees
pastieing
pastiely
pasties
pasty
pastyed
pastyer
pastyes
pastying
pastyly
pastys
pecker
peckered
peckerer
peckeres
peckering
peckerly
peckers
pedo
pedoed
pedoer
pedoes
pedoing
pedoly
pedophile
pedophileed
pedophileer
pedophilees
pedophileing
pedophilely
pedophiles
pedophilia
pedophiliac
pedophiliaced
pedophiliacer
pedophiliaces
pedophiliacing
pedophiliacly
pedophiliacs
pedophiliaed
pedophiliaer
pedophiliaes
pedophiliaing
pedophilialy
pedophilias
pedos
penial
penialed
penialer
peniales
penialing
penially
penials
penile
penileed
penileer
penilees
penileing
penilely
peniles
penis
penised
peniser
penises
penising
penisly
peniss
perversion
perversioned
perversioner
perversiones
perversioning
perversionly
perversions
peyote
peyoteed
peyoteer
peyotees
peyoteing
peyotely
peyotes
phuck
phucked
phucker
phuckes
phucking
phuckly
phucks
pillowbiter
pillowbitered
pillowbiterer
pillowbiteres
pillowbitering
pillowbiterly
pillowbiters
pimp
pimped
pimper
pimpes
pimping
pimply
pimps
pinko
pinkoed
pinkoer
pinkoes
pinkoing
pinkoly
pinkos
pissed
pisseded
pisseder
pissedes
pisseding
pissedly
pisseds
pisser
pisses
pissing
pissly
pissoff
pissoffed
pissoffer
pissoffes
pissoffing
pissoffly
pissoffs
pisss
polack
polacked
polacker
polackes
polacking
polackly
polacks
pollock
pollocked
pollocker
pollockes
pollocking
pollockly
pollocks
poon
pooned
pooner
poones
pooning
poonly
poons
poontang
poontanged
poontanger
poontanges
poontanging
poontangly
poontangs
porn
porned
porner
pornes
porning
pornly
porno
pornoed
pornoer
pornoes
pornography
pornographyed
pornographyer
pornographyes
pornographying
pornographyly
pornographys
pornoing
pornoly
pornos
porns
prick
pricked
pricker
prickes
pricking
prickly
pricks
prig
priged
priger
priges
priging
prigly
prigs
prostitute
prostituteed
prostituteer
prostitutees
prostituteing
prostitutely
prostitutes
prude
prudeed
prudeer
prudees
prudeing
prudely
prudes
punkass
punkassed
punkasser
punkasses
punkassing
punkassly
punkasss
punky
punkyed
punkyer
punkyes
punkying
punkyly
punkys
puss
pussed
pusser
pusses
pussies
pussiesed
pussieser
pussieses
pussiesing
pussiesly
pussiess
pussing
pussly
pusss
pussy
pussyed
pussyer
pussyes
pussying
pussyly
pussypounder
pussypoundered
pussypounderer
pussypounderes
pussypoundering
pussypounderly
pussypounders
pussys
puto
putoed
putoer
putoes
putoing
putoly
putos
queaf
queafed
queafer
queafes
queafing
queafly
queafs
queef
queefed
queefer
queefes
queefing
queefly
queefs
queer
queered
queerer
queeres
queering
queerly
queero
queeroed
queeroer
queeroes
queeroing
queeroly
queeros
queers
queersed
queerser
queerses
queersing
queersly
queerss
quicky
quickyed
quickyer
quickyes
quickying
quickyly
quickys
quim
quimed
quimer
quimes
quiming
quimly
quims
racy
racyed
racyer
racyes
racying
racyly
racys
rape
raped
rapeded
rapeder
rapedes
rapeding
rapedly
rapeds
rapeed
rapeer
rapees
rapeing
rapely
raper
rapered
raperer
raperes
rapering
raperly
rapers
rapes
rapist
rapisted
rapister
rapistes
rapisting
rapistly
rapists
raunch
raunched
rauncher
raunches
raunching
raunchly
raunchs
rectus
rectused
rectuser
rectuses
rectusing
rectusly
rectuss
reefer
reefered
reeferer
reeferes
reefering
reeferly
reefers
reetard
reetarded
reetarder
reetardes
reetarding
reetardly
reetards
reich
reiched
reicher
reiches
reiching
reichly
reichs
retard
retarded
retardeded
retardeder
retardedes
retardeding
retardedly
retardeds
retarder
retardes
retarding
retardly
retards
rimjob
rimjobed
rimjober
rimjobes
rimjobing
rimjobly
rimjobs
ritard
ritarded
ritarder
ritardes
ritarding
ritardly
ritards
rtard
rtarded
rtarder
rtardes
rtarding
rtardly
rtards
rum
rumed
rumer
rumes
ruming
rumly
rump
rumped
rumper
rumpes
rumping
rumply
rumprammer
rumprammered
rumprammerer
rumprammeres
rumprammering
rumprammerly
rumprammers
rumps
rums
ruski
ruskied
ruskier
ruskies
ruskiing
ruskily
ruskis
sadism
sadismed
sadismer
sadismes
sadisming
sadismly
sadisms
sadist
sadisted
sadister
sadistes
sadisting
sadistly
sadists
scag
scaged
scager
scages
scaging
scagly
scags
scantily
scantilyed
scantilyer
scantilyes
scantilying
scantilyly
scantilys
schlong
schlonged
schlonger
schlonges
schlonging
schlongly
schlongs
scrog
scroged
scroger
scroges
scroging
scrogly
scrogs
scrot
scrote
scroted
scroteed
scroteer
scrotees
scroteing
scrotely
scroter
scrotes
scroting
scrotly
scrots
scrotum
scrotumed
scrotumer
scrotumes
scrotuming
scrotumly
scrotums
scrud
scruded
scruder
scrudes
scruding
scrudly
scruds
scum
scumed
scumer
scumes
scuming
scumly
scums
seaman
seamaned
seamaner
seamanes
seamaning
seamanly
seamans
seamen
seamened
seamener
seamenes
seamening
seamenly
seamens
seduceed
seduceer
seducees
seduceing
seducely
seduces
semen
semened
semener
semenes
semening
semenly
semens
shamedame
shamedameed
shamedameer
shamedamees
shamedameing
shamedamely
shamedames
shit
shite
shiteater
shiteatered
shiteaterer
shiteateres
shiteatering
shiteaterly
shiteaters
shited
shiteed
shiteer
shitees
shiteing
shitely
shiter
shites
shitface
shitfaceed
shitfaceer
shitfacees
shitfaceing
shitfacely
shitfaces
shithead
shitheaded
shitheader
shitheades
shitheading
shitheadly
shitheads
shithole
shitholeed
shitholeer
shitholees
shitholeing
shitholely
shitholes
shithouse
shithouseed
shithouseer
shithousees
shithouseing
shithousely
shithouses
shiting
shitly
shits
shitsed
shitser
shitses
shitsing
shitsly
shitss
shitt
shitted
shitteded
shitteder
shittedes
shitteding
shittedly
shitteds
shitter
shittered
shitterer
shitteres
shittering
shitterly
shitters
shittes
shitting
shittly
shitts
shitty
shittyed
shittyer
shittyes
shittying
shittyly
shittys
shiz
shized
shizer
shizes
shizing
shizly
shizs
shooted
shooter
shootes
shooting
shootly
shoots
sissy
sissyed
sissyer
sissyes
sissying
sissyly
sissys
skag
skaged
skager
skages
skaging
skagly
skags
skank
skanked
skanker
skankes
skanking
skankly
skanks
slave
slaveed
slaveer
slavees
slaveing
slavely
slaves
sleaze
sleazeed
sleazeer
sleazees
sleazeing
sleazely
sleazes
sleazy
sleazyed
sleazyer
sleazyes
sleazying
sleazyly
sleazys
slut
slutdumper
slutdumpered
slutdumperer
slutdumperes
slutdumpering
slutdumperly
slutdumpers
sluted
sluter
slutes
sluting
slutkiss
slutkissed
slutkisser
slutkisses
slutkissing
slutkissly
slutkisss
slutly
sluts
slutsed
slutser
slutses
slutsing
slutsly
slutss
smegma
smegmaed
smegmaer
smegmaes
smegmaing
smegmaly
smegmas
smut
smuted
smuter
smutes
smuting
smutly
smuts
smutty
smuttyed
smuttyer
smuttyes
smuttying
smuttyly
smuttys
snatch
snatched
snatcher
snatches
snatching
snatchly
snatchs
sniper
snipered
sniperer
sniperes
snipering
sniperly
snipers
snort
snorted
snorter
snortes
snorting
snortly
snorts
snuff
snuffed
snuffer
snuffes
snuffing
snuffly
snuffs
sodom
sodomed
sodomer
sodomes
sodoming
sodomly
sodoms
spic
spiced
spicer
spices
spicing
spick
spicked
spicker
spickes
spicking
spickly
spicks
spicly
spics
spik
spoof
spoofed
spoofer
spoofes
spoofing
spoofly
spoofs
spooge
spoogeed
spoogeer
spoogees
spoogeing
spoogely
spooges
spunk
spunked
spunker
spunkes
spunking
spunkly
spunks
steamyed
steamyer
steamyes
steamying
steamyly
steamys
stfu
stfued
stfuer
stfues
stfuing
stfuly
stfus
stiffy
stiffyed
stiffyer
stiffyes
stiffying
stiffyly
stiffys
stoneded
stoneder
stonedes
stoneding
stonedly
stoneds
stupided
stupider
stupides
stupiding
stupidly
stupids
suckeded
suckeder
suckedes
suckeding
suckedly
suckeds
sucker
suckes
sucking
suckinged
suckinger
suckinges
suckinging
suckingly
suckings
suckly
sucks
sumofabiatch
sumofabiatched
sumofabiatcher
sumofabiatches
sumofabiatching
sumofabiatchly
sumofabiatchs
tard
tarded
tarder
tardes
tarding
tardly
tards
tawdry
tawdryed
tawdryer
tawdryes
tawdrying
tawdryly
tawdrys
teabagging
teabagginged
teabagginger
teabagginges
teabagginging
teabaggingly
teabaggings
terd
terded
terder
terdes
terding
terdly
terds
teste
testee
testeed
testeeed
testeeer
testeees
testeeing
testeely
testeer
testees
testeing
testely
testes
testesed
testeser
testeses
testesing
testesly
testess
testicle
testicleed
testicleer
testiclees
testicleing
testiclely
testicles
testis
testised
testiser
testises
testising
testisly
testiss
thrusted
thruster
thrustes
thrusting
thrustly
thrusts
thug
thuged
thuger
thuges
thuging
thugly
thugs
tinkle
tinkleed
tinkleer
tinklees
tinkleing
tinklely
tinkles
tit
tited
titer
tites
titfuck
titfucked
titfucker
titfuckes
titfucking
titfuckly
titfucks
titi
titied
titier
tities
titiing
titily
titing
titis
titly
tits
titsed
titser
titses
titsing
titsly
titss
tittiefucker
tittiefuckered
tittiefuckerer
tittiefuckeres
tittiefuckering
tittiefuckerly
tittiefuckers
titties
tittiesed
tittieser
tittieses
tittiesing
tittiesly
tittiess
titty
tittyed
tittyer
tittyes
tittyfuck
tittyfucked
tittyfucker
tittyfuckered
tittyfuckerer
tittyfuckeres
tittyfuckering
tittyfuckerly
tittyfuckers
tittyfuckes
tittyfucking
tittyfuckly
tittyfucks
tittying
tittyly
tittys
toke
tokeed
tokeer
tokees
tokeing
tokely
tokes
toots
tootsed
tootser
tootses
tootsing
tootsly
tootss
tramp
tramped
tramper
trampes
tramping
tramply
tramps
transsexualed
transsexualer
transsexuales
transsexualing
transsexually
transsexuals
trashy
trashyed
trashyer
trashyes
trashying
trashyly
trashys
tubgirl
tubgirled
tubgirler
tubgirles
tubgirling
tubgirlly
tubgirls
turd
turded
turder
turdes
turding
turdly
turds
tush
tushed
tusher
tushes
tushing
tushly
tushs
twat
twated
twater
twates
twating
twatly
twats
twatsed
twatser
twatses
twatsing
twatsly
twatss
undies
undiesed
undieser
undieses
undiesing
undiesly
undiess
unweded
unweder
unwedes
unweding
unwedly
unweds
uzi
uzied
uzier
uzies
uziing
uzily
uzis
vag
vaged
vager
vages
vaging
vagly
vags
valium
valiumed
valiumer
valiumes
valiuming
valiumly
valiums
venous
virgined
virginer
virgines
virgining
virginly
virgins
vixen
vixened
vixener
vixenes
vixening
vixenly
vixens
vodkaed
vodkaer
vodkaes
vodkaing
vodkaly
vodkas
voyeur
voyeured
voyeurer
voyeures
voyeuring
voyeurly
voyeurs
vulgar
vulgared
vulgarer
vulgares
vulgaring
vulgarly
vulgars
wang
wanged
wanger
wanges
wanging
wangly
wangs
wank
wanked
wanker
wankered
wankerer
wankeres
wankering
wankerly
wankers
wankes
wanking
wankly
wanks
wazoo
wazooed
wazooer
wazooes
wazooing
wazooly
wazoos
wedgie
wedgieed
wedgieer
wedgiees
wedgieing
wedgiely
wedgies
weeded
weeder
weedes
weeding
weedly
weeds
weenie
weenieed
weenieer
weeniees
weenieing
weeniely
weenies
weewee
weeweeed
weeweeer
weeweees
weeweeing
weeweely
weewees
weiner
weinered
weinerer
weineres
weinering
weinerly
weiners
weirdo
weirdoed
weirdoer
weirdoes
weirdoing
weirdoly
weirdos
wench
wenched
wencher
wenches
wenching
wenchly
wenchs
wetback
wetbacked
wetbacker
wetbackes
wetbacking
wetbackly
wetbacks
whitey
whiteyed
whiteyer
whiteyes
whiteying
whiteyly
whiteys
whiz
whized
whizer
whizes
whizing
whizly
whizs
whoralicious
whoralicioused
whoraliciouser
whoraliciouses
whoraliciousing
whoraliciously
whoraliciouss
whore
whorealicious
whorealicioused
whorealiciouser
whorealiciouses
whorealiciousing
whorealiciously
whorealiciouss
whored
whoreded
whoreder
whoredes
whoreding
whoredly
whoreds
whoreed
whoreer
whorees
whoreface
whorefaceed
whorefaceer
whorefacees
whorefaceing
whorefacely
whorefaces
whorehopper
whorehoppered
whorehopperer
whorehopperes
whorehoppering
whorehopperly
whorehoppers
whorehouse
whorehouseed
whorehouseer
whorehousees
whorehouseing
whorehousely
whorehouses
whoreing
whorely
whores
whoresed
whoreser
whoreses
whoresing
whoresly
whoress
whoring
whoringed
whoringer
whoringes
whoringing
whoringly
whorings
wigger
wiggered
wiggerer
wiggeres
wiggering
wiggerly
wiggers
woody
woodyed
woodyer
woodyes
woodying
woodyly
woodys
wop
woped
woper
wopes
woping
woply
wops
wtf
wtfed
wtfer
wtfes
wtfing
wtfly
wtfs
xxx
xxxed
xxxer
xxxes
xxxing
xxxly
xxxs
yeasty
yeastyed
yeastyer
yeastyes
yeastying
yeastyly
yeastys
yobbo
yobboed
yobboer
yobboes
yobboing
yobboly
yobbos
zoophile
zoophileed
zoophileer
zoophilees
zoophileing
zoophilely
zoophiles
anal
ass
ass lick
balls
ballsac
bisexual
bleach
causas
cheap
cost of miracles
cunt
display network stats
fart
fda and death
fda AND warn
fda AND warning
fda AND warns
feom
fuck
gfc
humira AND expensive
illegal
madvocate
masturbation
nuccitelli
overdose
porn
shit
snort
texarkana
Negative Keywords Excluded Elements
header[@id='header']
section[contains(@class, 'nav-hidden')]
footer[@id='footer']
Altmetric
Article Authors "autobrand" affiliation
Rheumatology News
DSM Affiliated
Display in offset block
Disqus Exclude
Best Practices
CE/CME
Education Center
Medical Education Library
Enable Disqus
Display Author and Disclosure Link
Publication Type
News
Slot System
Featured Buckets
Disable Sticky Ads
Disable Ad Block Mitigation
Featured Buckets Admin
Publication LayerRX Default ID
802
Show Ads on this Publication's Homepage
Consolidated Pub
Show Article Page Numbers on TOC
Use larger logo size
Off
Current Issue
Title
Rheumatology News
Description

The leading independent newspaper covering rheumatology news and commentary.

Current Issue Reference

High-intensity interval training has sustainable effects in patients with inflammatory arthritis

Article Type
Changed
Tue, 06/13/2023 - 15:09

– High-intensity interval training (HIIT) has been shown to enhance cardiorespiratory fitness (CRF) and mitigate cardiovascular disease (CVD) risk factors in patients with inflammatory joint diseases (IJD) in a randomized trial. Notably, the positive response in CRF did not coincide with changes in pain or fatigue.

Kristine Norden, of the Center for Treatment of Rheumatic and Musculoskeletal Diseases, Norwegian National Advisory Unit on Rehabilitation in Rheumatology, Diakonhjemmet Hospital, Oslo, presented the late-breaking results of the ExeHeart trial at the annual European Congress of Rheumatology. The trial aimed to evaluate the short- and long-term effects of 12 weeks of supervised HIIT in patients with IJD.

Viktor Cap/Thinkstock

Ms. Norden said in an interview that “HIIT is a feasible physiotherapeutic intervention with sustainable effects in patients with IJD. It does not exacerbate symptoms of IJD and can be implemented in primary care settings.”
 

The trial

The ExeHeart trial is a randomized controlled trial designed to assess the effects of HIIT on CRF, CVD risk, and disease activity in patients with IJD. The trial is a collaborative effort with patient research partners and aligns with patients’ requests for effective nonpharmacologic treatments. The outcomes being evaluated include CRF (primary outcome), CVD risk factors, anthropometric measures, disease activity, and patient-reported outcomes related to pain, fatigue, disease, physical activity, and exercise.

A total of 60 patients with IJD were recruited from the Preventive Cardio-Rheuma clinic at Diakonhjemmet. They were randomly assigned to receive either standard care (including relevant lifestyle advice and cardiopreventive medication) or standard care along with a 12-week HIIT intervention supervised by physiotherapists. Assessments were conducted at baseline, at 3 months (primary endpoint), and at 6 months post baseline. There was no supervised intervention between the 3- and 6-month time points.

The median age of the participants was 59 years, with 34 participants (57%) being women. The types of IJD among the participants included rheumatoid arthritis in 45%, spondyloarthritis in 32%, and psoriatic arthritis in 23%. Furthermore, 49 patients (82%) had a high risk for CVD.

The participants were divided into two groups: a control group (n = 30) and a HIIT group (n = 30). The HIIT group underwent a 12-week intervention consisting of twice-a-week supervised 4x4-minute HIIT sessions at 90%-95% of peak heart rate, alternated with moderate activity at 70%. The control group engaged in unsupervised moderate-intensity exercise sessions. The primary outcome measured was the change in CRF, assessed through peak oxygen uptake (VO2 max) using a cardiopulmonary exercise test. Secondary outcomes – pain and fatigue – were evaluated using a questionnaire (Numeric Rating Scale 0-10, where 0 represents no pain or fatigue).

Following HIIT, a statistically significant difference was observed in VO2 max (2.5 mL/kg per min; P < .01) in favor of the exercise group at 3 months, while no significant differences were found in pain and fatigue. This discrepancy in VO2 max between the groups was maintained at 6 months (2.6 mL/kg per min; P < .01), with no notable disparities in pain and fatigue. A per-protocol analysis at 3 months demonstrated a difference in VO2 max between the groups (3.2 mL/kg per min; P < .01).

Ms. Norden concluded that the clinical implications of these findings are significant, as increased CRF achieved through HIIT reflects an improvement in the body’s ability to deliver oxygen to working muscles. Consequently, this enhancement in CRF can lead to overall health improvements and a reduced risk for CVD.
 

 

 

Long-lasting effects

Christopher Edwards, MBBS, MD, honorary consultant rheumatologist at University Hospital Southampton (England) NHS Foundation Trust Medicine, University of Southampton, was concerned about future maintenance of increased CRF. “I really wish we had data on these patients at 12 months as well, so we could see if the effects last even longer. Regarding intensity, there are clear indications that engaging in moderate and high-intensity workouts is more beneficial,” Dr. Norden said. “So, I would certainly recommend at least one high-intensity exercise session per week for those patients, while also incorporating lower and moderate-intensity exercises if desired. However, for individuals aiming to maximize their oxygen uptake, high-intensity exercise is considered the most effective approach.”

There is compelling evidence supporting the benefits of physical activity in improving disease activity among patients with IJD, making it a critical component of nonpharmacologic treatment. However, individuals with rheumatic and musculoskeletal conditions generally exhibit lower levels of physical activity, compared with their healthy counterparts. Recognizing the importance of CVD prevention in patients with IJD, EULAR recommends routine CVD screening for individuals diagnosed with IJD.

Ms. Norden and coauthors report no relevant financial relationships.

A version of this article first appeared on Medscape.com.

Meeting/Event
Publications
Topics
Sections
Meeting/Event
Meeting/Event

– High-intensity interval training (HIIT) has been shown to enhance cardiorespiratory fitness (CRF) and mitigate cardiovascular disease (CVD) risk factors in patients with inflammatory joint diseases (IJD) in a randomized trial. Notably, the positive response in CRF did not coincide with changes in pain or fatigue.

Kristine Norden, of the Center for Treatment of Rheumatic and Musculoskeletal Diseases, Norwegian National Advisory Unit on Rehabilitation in Rheumatology, Diakonhjemmet Hospital, Oslo, presented the late-breaking results of the ExeHeart trial at the annual European Congress of Rheumatology. The trial aimed to evaluate the short- and long-term effects of 12 weeks of supervised HIIT in patients with IJD.

Viktor Cap/Thinkstock

Ms. Norden said in an interview that “HIIT is a feasible physiotherapeutic intervention with sustainable effects in patients with IJD. It does not exacerbate symptoms of IJD and can be implemented in primary care settings.”
 

The trial

The ExeHeart trial is a randomized controlled trial designed to assess the effects of HIIT on CRF, CVD risk, and disease activity in patients with IJD. The trial is a collaborative effort with patient research partners and aligns with patients’ requests for effective nonpharmacologic treatments. The outcomes being evaluated include CRF (primary outcome), CVD risk factors, anthropometric measures, disease activity, and patient-reported outcomes related to pain, fatigue, disease, physical activity, and exercise.

A total of 60 patients with IJD were recruited from the Preventive Cardio-Rheuma clinic at Diakonhjemmet. They were randomly assigned to receive either standard care (including relevant lifestyle advice and cardiopreventive medication) or standard care along with a 12-week HIIT intervention supervised by physiotherapists. Assessments were conducted at baseline, at 3 months (primary endpoint), and at 6 months post baseline. There was no supervised intervention between the 3- and 6-month time points.

The median age of the participants was 59 years, with 34 participants (57%) being women. The types of IJD among the participants included rheumatoid arthritis in 45%, spondyloarthritis in 32%, and psoriatic arthritis in 23%. Furthermore, 49 patients (82%) had a high risk for CVD.

The participants were divided into two groups: a control group (n = 30) and a HIIT group (n = 30). The HIIT group underwent a 12-week intervention consisting of twice-a-week supervised 4x4-minute HIIT sessions at 90%-95% of peak heart rate, alternated with moderate activity at 70%. The control group engaged in unsupervised moderate-intensity exercise sessions. The primary outcome measured was the change in CRF, assessed through peak oxygen uptake (VO2 max) using a cardiopulmonary exercise test. Secondary outcomes – pain and fatigue – were evaluated using a questionnaire (Numeric Rating Scale 0-10, where 0 represents no pain or fatigue).

Following HIIT, a statistically significant difference was observed in VO2 max (2.5 mL/kg per min; P < .01) in favor of the exercise group at 3 months, while no significant differences were found in pain and fatigue. This discrepancy in VO2 max between the groups was maintained at 6 months (2.6 mL/kg per min; P < .01), with no notable disparities in pain and fatigue. A per-protocol analysis at 3 months demonstrated a difference in VO2 max between the groups (3.2 mL/kg per min; P < .01).

Ms. Norden concluded that the clinical implications of these findings are significant, as increased CRF achieved through HIIT reflects an improvement in the body’s ability to deliver oxygen to working muscles. Consequently, this enhancement in CRF can lead to overall health improvements and a reduced risk for CVD.
 

 

 

Long-lasting effects

Christopher Edwards, MBBS, MD, honorary consultant rheumatologist at University Hospital Southampton (England) NHS Foundation Trust Medicine, University of Southampton, was concerned about future maintenance of increased CRF. “I really wish we had data on these patients at 12 months as well, so we could see if the effects last even longer. Regarding intensity, there are clear indications that engaging in moderate and high-intensity workouts is more beneficial,” Dr. Norden said. “So, I would certainly recommend at least one high-intensity exercise session per week for those patients, while also incorporating lower and moderate-intensity exercises if desired. However, for individuals aiming to maximize their oxygen uptake, high-intensity exercise is considered the most effective approach.”

There is compelling evidence supporting the benefits of physical activity in improving disease activity among patients with IJD, making it a critical component of nonpharmacologic treatment. However, individuals with rheumatic and musculoskeletal conditions generally exhibit lower levels of physical activity, compared with their healthy counterparts. Recognizing the importance of CVD prevention in patients with IJD, EULAR recommends routine CVD screening for individuals diagnosed with IJD.

Ms. Norden and coauthors report no relevant financial relationships.

A version of this article first appeared on Medscape.com.

– High-intensity interval training (HIIT) has been shown to enhance cardiorespiratory fitness (CRF) and mitigate cardiovascular disease (CVD) risk factors in patients with inflammatory joint diseases (IJD) in a randomized trial. Notably, the positive response in CRF did not coincide with changes in pain or fatigue.

Kristine Norden, of the Center for Treatment of Rheumatic and Musculoskeletal Diseases, Norwegian National Advisory Unit on Rehabilitation in Rheumatology, Diakonhjemmet Hospital, Oslo, presented the late-breaking results of the ExeHeart trial at the annual European Congress of Rheumatology. The trial aimed to evaluate the short- and long-term effects of 12 weeks of supervised HIIT in patients with IJD.

Viktor Cap/Thinkstock

Ms. Norden said in an interview that “HIIT is a feasible physiotherapeutic intervention with sustainable effects in patients with IJD. It does not exacerbate symptoms of IJD and can be implemented in primary care settings.”
 

The trial

The ExeHeart trial is a randomized controlled trial designed to assess the effects of HIIT on CRF, CVD risk, and disease activity in patients with IJD. The trial is a collaborative effort with patient research partners and aligns with patients’ requests for effective nonpharmacologic treatments. The outcomes being evaluated include CRF (primary outcome), CVD risk factors, anthropometric measures, disease activity, and patient-reported outcomes related to pain, fatigue, disease, physical activity, and exercise.

A total of 60 patients with IJD were recruited from the Preventive Cardio-Rheuma clinic at Diakonhjemmet. They were randomly assigned to receive either standard care (including relevant lifestyle advice and cardiopreventive medication) or standard care along with a 12-week HIIT intervention supervised by physiotherapists. Assessments were conducted at baseline, at 3 months (primary endpoint), and at 6 months post baseline. There was no supervised intervention between the 3- and 6-month time points.

The median age of the participants was 59 years, with 34 participants (57%) being women. The types of IJD among the participants included rheumatoid arthritis in 45%, spondyloarthritis in 32%, and psoriatic arthritis in 23%. Furthermore, 49 patients (82%) had a high risk for CVD.

The participants were divided into two groups: a control group (n = 30) and a HIIT group (n = 30). The HIIT group underwent a 12-week intervention consisting of twice-a-week supervised 4x4-minute HIIT sessions at 90%-95% of peak heart rate, alternated with moderate activity at 70%. The control group engaged in unsupervised moderate-intensity exercise sessions. The primary outcome measured was the change in CRF, assessed through peak oxygen uptake (VO2 max) using a cardiopulmonary exercise test. Secondary outcomes – pain and fatigue – were evaluated using a questionnaire (Numeric Rating Scale 0-10, where 0 represents no pain or fatigue).

Following HIIT, a statistically significant difference was observed in VO2 max (2.5 mL/kg per min; P < .01) in favor of the exercise group at 3 months, while no significant differences were found in pain and fatigue. This discrepancy in VO2 max between the groups was maintained at 6 months (2.6 mL/kg per min; P < .01), with no notable disparities in pain and fatigue. A per-protocol analysis at 3 months demonstrated a difference in VO2 max between the groups (3.2 mL/kg per min; P < .01).

Ms. Norden concluded that the clinical implications of these findings are significant, as increased CRF achieved through HIIT reflects an improvement in the body’s ability to deliver oxygen to working muscles. Consequently, this enhancement in CRF can lead to overall health improvements and a reduced risk for CVD.
 

 

 

Long-lasting effects

Christopher Edwards, MBBS, MD, honorary consultant rheumatologist at University Hospital Southampton (England) NHS Foundation Trust Medicine, University of Southampton, was concerned about future maintenance of increased CRF. “I really wish we had data on these patients at 12 months as well, so we could see if the effects last even longer. Regarding intensity, there are clear indications that engaging in moderate and high-intensity workouts is more beneficial,” Dr. Norden said. “So, I would certainly recommend at least one high-intensity exercise session per week for those patients, while also incorporating lower and moderate-intensity exercises if desired. However, for individuals aiming to maximize their oxygen uptake, high-intensity exercise is considered the most effective approach.”

There is compelling evidence supporting the benefits of physical activity in improving disease activity among patients with IJD, making it a critical component of nonpharmacologic treatment. However, individuals with rheumatic and musculoskeletal conditions generally exhibit lower levels of physical activity, compared with their healthy counterparts. Recognizing the importance of CVD prevention in patients with IJD, EULAR recommends routine CVD screening for individuals diagnosed with IJD.

Ms. Norden and coauthors report no relevant financial relationships.

A version of this article first appeared on Medscape.com.

Publications
Publications
Topics
Article Type
Sections
Article Source

AT EULAR 2023

Disallow All Ads
Content Gating
No Gating (article Unlocked/Free)
Alternative CME
Disqus Comments
Default
Use ProPublica
Hide sidebar & use full width
render the right sidebar.
Conference Recap Checkbox
Not Conference Recap
Clinical Edge
Display the Slideshow in this Article
Medscape Article
Display survey writer
Reuters content
Disable Inline Native ads
WebMD Article

Dazodalibep may mitigate Sjögren’s syndrome, but more data are needed

Article Type
Changed
Mon, 06/12/2023 - 18:26

– Dazodalibep, an intravenously administered inhibitor of CD40 ligand, shows promise in reducing disease activity and alleviating key subjective symptoms of Sjögren’s syndrome, compared with placebo. These preliminary findings are from the initial phase of the ALISS trial, a phase 2 randomized, double-blind, placebo-controlled, crossover clinical trial presented at the annul European Congress of Rheumatology.

Over the course of the 169-day trial, both the disease activity score and the patient-reported symptom score dropped significantly for patients who were treated with dazodalibep, also known as VIB4920 or HZN4920, compared with those treated with placebo, meeting both primary endpoints. This benefit was particularly evident for patients who had limited systemic organ involvement but substantial symptom burden.

Dazodalibep is a fusion protein that functions as an inhibitor by blocking the interaction between T cells and CD40-expressing B cells. This inhibition effectively suppresses costimulatory signaling between immune cells. Unlike previous CD40-targeting biologics, dazodalibep does not belong to the antibody class. According to Horizon Thereapeutics, this distinction is expected to help mitigate safety concerns, particularly those related to blood clot formation that were encountered with antibody-based biologics such as ruplizumab, according to Horizon, which acquired the trial’s sponsor, Viela Bio.
 

Patients with moderate to high systemic disease activity

The trial investigated dazodalibep in two patient populations. Wan-Fai Ng, MBBCh, PhD, professor of rheumatology at Newcastle University and honorary consultant rheumatologist at Newcastle upon Tyne Hospitals NHS Foundation Trust, England, presented results from the first group, which comprised 74 adult patients with Sjögren’s syndrome with moderate to high systemic disease activity. Disease activity was defined as a score of ≥ 5 on the EULAR Sjögren’s Syndrome Disease Activity Index (ESSDAI).

A post hoc responder analysis demonstrated that dazodalibep outperformed placebo in patients who achieved a 5- or 6-point improvement on the ESSDAI. Response rates for these patients was 61.1% and 60.0%, respectively, compared with 35.1% and 34.3% for patients who received placebo. Patients who received dazodalibep experienced a reduction of –6.3 ± 0.6 points in ESSDAI score, whereas the placebo group experienced a reduction of –4.1 ± 0.6 points, a difference of –2.2 (P = .0167). However, there was no significant change in any symptom-related score in this population.
 

Patients with unacceptable symptom burden but limited systemic involvement

Also at EULAR 2023, Chiara Baldini, MD, of the University of Pisa, Italy, reported the results from the second group of 109 adult patients with Sjögren’s syndrome who had notable symptom burden but limited systemic organ involvement. “These patients represent a significant portion of individuals with reduced quality of life who are largely excluded from other clinical trials,” Dr. Baldini said in an interview. The study population was defined by having a EULAR Sjögren’s Syndrome Patient Reported Index (ESSPRI) ≥ 5 and, in contrast to the previous group, an ESSDAI score < 5.

In this case, treatment with dazodalibep correlated with a substantial reduction in symptom burden, compared with placebo. Among the patients who received dazodalibep, 66.7% achieved ≥ 1 point or ≥ 15% reduction in symptoms, as measured by ESSPRI, compared with 32.7% in the placebo group. The ESSPRI score decreased by –1.80 ± 0.23 points in the dazodalibep group, while it decreased by –0.53 ± 0.23 points in the placebo group, a difference of −1.27 ± 0.33 points favoring dazodalibep (P = .0002). The reduction in symptoms in the dazodalibep group was evident from the first data point on day 29 and was statistically significant for each of the three symptom components included in the ESSPRI score: dryness, pain, and fatigue.

Additionally, a significant improvement was observed in one of the secondary endpoints, namely, a reduction in the Functional Assessment of Chronic Illness Therapy-Fatigue score. The dazodalibep group exhibited a considerably greater reduction (+8.1 ± 1.4, compared with baseline) than did the placebo group (+2.8 ± 1.4; P = .0095).
 

 

 

Dazodalibep safety

“Dazodalibep therapy was generally safe and well tolerated,” Dr. Baldini said in her presentation. Adverse events that were reported for both investigations were generally mild and occurred with similar frequency between the treatment groups. The most commonly reported adverse events, each occurring in more than 5% of patients who received dazodalibep, were COVID-19, diarrhea, anemia, dizziness, ligament sprain, upper respiratory tract infection, and nasopharyngitis. The incidence of COVID-19 and nasopharyngitis was comparable between the treatment and placebo arms.

However, in the patient group with moderate to high systemic disease activity, one patient who was treated with dazodalibep experienced two serious adverse events: a grade 3 SARS-CoV-2 infection, and subsequent death from an unknown cause, which occurred 46 days after the last administration of dazodalibep (12 days after COVID-19 diagnosis). Additionally, there was one case of herpes zoster in a patient treated with dazodalibep. In the group with limited systemic organ involvement, three serious adverse events were reported in the dazodalibep group (pneumonia influenza, postacute COVID-19 syndrome [long COVID], and gammopathy); one serious adverse event (neutropenia) was reported in the placebo group. One patient in the dazodalibep group discontinued participation in the study because of an adverse event, compared with two in the placebo group. Investigators determined that, thus far, all serious adverse events in both populations have been unrelated to the medication.

Throughout the trial, eligible participants in both populations were randomly assigned in a 1:1 ratio to receive either intravenous dazodalibep 1,500 mg or placebo every 2 weeks for three doses, followed by every 4 weeks for an additional four doses, up to day 169. The majority of participants in all populations and treatment arms were women (> 90%). Key inclusion criteria were being aged 18 years or older, meeting the 2016 American College of Rheumatology–EULAR classification criteria for Sjögren’s syndrome, and testing positive for anti-SSA and/or rheumatoid factors. Exclusion criteria were having a medical history of thrombosis or anticoagulant use, as well as prior treatment with B cell–depleting therapies. The proportions of patients who received glucocorticoids, antimalarials, or disease-modifying antirheumatic drugs were consistent between both arms of each population.

“Larger clinical trials are necessary to validate the clinical effectiveness and safety of dazodalibep therapy in this specific subgroup of patients,” Dr. Baldini concluded. Currently, dazodalibep is being studied for the treatment of rheumatoid arthritis and renal transplant rejection, and Horizon Therapeutics has plans to explore its use in focal segmental glomerulosclerosis.

Dr. Ng has served as a consultant to Novartis, GlaxoSmithKline, AbbVie, Bristol-Myers Squibb, Sanofi, MedImmune, Resolves Therapeutics, Janssen, and UCB. Dr. Baldini has served as a consultant to GlaxoSmithKline and Sanofi.

A version of this article first appeared on Medscape.com.

Meeting/Event
Publications
Topics
Sections
Meeting/Event
Meeting/Event

– Dazodalibep, an intravenously administered inhibitor of CD40 ligand, shows promise in reducing disease activity and alleviating key subjective symptoms of Sjögren’s syndrome, compared with placebo. These preliminary findings are from the initial phase of the ALISS trial, a phase 2 randomized, double-blind, placebo-controlled, crossover clinical trial presented at the annul European Congress of Rheumatology.

Over the course of the 169-day trial, both the disease activity score and the patient-reported symptom score dropped significantly for patients who were treated with dazodalibep, also known as VIB4920 or HZN4920, compared with those treated with placebo, meeting both primary endpoints. This benefit was particularly evident for patients who had limited systemic organ involvement but substantial symptom burden.

Dazodalibep is a fusion protein that functions as an inhibitor by blocking the interaction between T cells and CD40-expressing B cells. This inhibition effectively suppresses costimulatory signaling between immune cells. Unlike previous CD40-targeting biologics, dazodalibep does not belong to the antibody class. According to Horizon Thereapeutics, this distinction is expected to help mitigate safety concerns, particularly those related to blood clot formation that were encountered with antibody-based biologics such as ruplizumab, according to Horizon, which acquired the trial’s sponsor, Viela Bio.
 

Patients with moderate to high systemic disease activity

The trial investigated dazodalibep in two patient populations. Wan-Fai Ng, MBBCh, PhD, professor of rheumatology at Newcastle University and honorary consultant rheumatologist at Newcastle upon Tyne Hospitals NHS Foundation Trust, England, presented results from the first group, which comprised 74 adult patients with Sjögren’s syndrome with moderate to high systemic disease activity. Disease activity was defined as a score of ≥ 5 on the EULAR Sjögren’s Syndrome Disease Activity Index (ESSDAI).

A post hoc responder analysis demonstrated that dazodalibep outperformed placebo in patients who achieved a 5- or 6-point improvement on the ESSDAI. Response rates for these patients was 61.1% and 60.0%, respectively, compared with 35.1% and 34.3% for patients who received placebo. Patients who received dazodalibep experienced a reduction of –6.3 ± 0.6 points in ESSDAI score, whereas the placebo group experienced a reduction of –4.1 ± 0.6 points, a difference of –2.2 (P = .0167). However, there was no significant change in any symptom-related score in this population.
 

Patients with unacceptable symptom burden but limited systemic involvement

Also at EULAR 2023, Chiara Baldini, MD, of the University of Pisa, Italy, reported the results from the second group of 109 adult patients with Sjögren’s syndrome who had notable symptom burden but limited systemic organ involvement. “These patients represent a significant portion of individuals with reduced quality of life who are largely excluded from other clinical trials,” Dr. Baldini said in an interview. The study population was defined by having a EULAR Sjögren’s Syndrome Patient Reported Index (ESSPRI) ≥ 5 and, in contrast to the previous group, an ESSDAI score < 5.

In this case, treatment with dazodalibep correlated with a substantial reduction in symptom burden, compared with placebo. Among the patients who received dazodalibep, 66.7% achieved ≥ 1 point or ≥ 15% reduction in symptoms, as measured by ESSPRI, compared with 32.7% in the placebo group. The ESSPRI score decreased by –1.80 ± 0.23 points in the dazodalibep group, while it decreased by –0.53 ± 0.23 points in the placebo group, a difference of −1.27 ± 0.33 points favoring dazodalibep (P = .0002). The reduction in symptoms in the dazodalibep group was evident from the first data point on day 29 and was statistically significant for each of the three symptom components included in the ESSPRI score: dryness, pain, and fatigue.

Additionally, a significant improvement was observed in one of the secondary endpoints, namely, a reduction in the Functional Assessment of Chronic Illness Therapy-Fatigue score. The dazodalibep group exhibited a considerably greater reduction (+8.1 ± 1.4, compared with baseline) than did the placebo group (+2.8 ± 1.4; P = .0095).
 

 

 

Dazodalibep safety

“Dazodalibep therapy was generally safe and well tolerated,” Dr. Baldini said in her presentation. Adverse events that were reported for both investigations were generally mild and occurred with similar frequency between the treatment groups. The most commonly reported adverse events, each occurring in more than 5% of patients who received dazodalibep, were COVID-19, diarrhea, anemia, dizziness, ligament sprain, upper respiratory tract infection, and nasopharyngitis. The incidence of COVID-19 and nasopharyngitis was comparable between the treatment and placebo arms.

However, in the patient group with moderate to high systemic disease activity, one patient who was treated with dazodalibep experienced two serious adverse events: a grade 3 SARS-CoV-2 infection, and subsequent death from an unknown cause, which occurred 46 days after the last administration of dazodalibep (12 days after COVID-19 diagnosis). Additionally, there was one case of herpes zoster in a patient treated with dazodalibep. In the group with limited systemic organ involvement, three serious adverse events were reported in the dazodalibep group (pneumonia influenza, postacute COVID-19 syndrome [long COVID], and gammopathy); one serious adverse event (neutropenia) was reported in the placebo group. One patient in the dazodalibep group discontinued participation in the study because of an adverse event, compared with two in the placebo group. Investigators determined that, thus far, all serious adverse events in both populations have been unrelated to the medication.

Throughout the trial, eligible participants in both populations were randomly assigned in a 1:1 ratio to receive either intravenous dazodalibep 1,500 mg or placebo every 2 weeks for three doses, followed by every 4 weeks for an additional four doses, up to day 169. The majority of participants in all populations and treatment arms were women (> 90%). Key inclusion criteria were being aged 18 years or older, meeting the 2016 American College of Rheumatology–EULAR classification criteria for Sjögren’s syndrome, and testing positive for anti-SSA and/or rheumatoid factors. Exclusion criteria were having a medical history of thrombosis or anticoagulant use, as well as prior treatment with B cell–depleting therapies. The proportions of patients who received glucocorticoids, antimalarials, or disease-modifying antirheumatic drugs were consistent between both arms of each population.

“Larger clinical trials are necessary to validate the clinical effectiveness and safety of dazodalibep therapy in this specific subgroup of patients,” Dr. Baldini concluded. Currently, dazodalibep is being studied for the treatment of rheumatoid arthritis and renal transplant rejection, and Horizon Therapeutics has plans to explore its use in focal segmental glomerulosclerosis.

Dr. Ng has served as a consultant to Novartis, GlaxoSmithKline, AbbVie, Bristol-Myers Squibb, Sanofi, MedImmune, Resolves Therapeutics, Janssen, and UCB. Dr. Baldini has served as a consultant to GlaxoSmithKline and Sanofi.

A version of this article first appeared on Medscape.com.

– Dazodalibep, an intravenously administered inhibitor of CD40 ligand, shows promise in reducing disease activity and alleviating key subjective symptoms of Sjögren’s syndrome, compared with placebo. These preliminary findings are from the initial phase of the ALISS trial, a phase 2 randomized, double-blind, placebo-controlled, crossover clinical trial presented at the annul European Congress of Rheumatology.

Over the course of the 169-day trial, both the disease activity score and the patient-reported symptom score dropped significantly for patients who were treated with dazodalibep, also known as VIB4920 or HZN4920, compared with those treated with placebo, meeting both primary endpoints. This benefit was particularly evident for patients who had limited systemic organ involvement but substantial symptom burden.

Dazodalibep is a fusion protein that functions as an inhibitor by blocking the interaction between T cells and CD40-expressing B cells. This inhibition effectively suppresses costimulatory signaling between immune cells. Unlike previous CD40-targeting biologics, dazodalibep does not belong to the antibody class. According to Horizon Thereapeutics, this distinction is expected to help mitigate safety concerns, particularly those related to blood clot formation that were encountered with antibody-based biologics such as ruplizumab, according to Horizon, which acquired the trial’s sponsor, Viela Bio.
 

Patients with moderate to high systemic disease activity

The trial investigated dazodalibep in two patient populations. Wan-Fai Ng, MBBCh, PhD, professor of rheumatology at Newcastle University and honorary consultant rheumatologist at Newcastle upon Tyne Hospitals NHS Foundation Trust, England, presented results from the first group, which comprised 74 adult patients with Sjögren’s syndrome with moderate to high systemic disease activity. Disease activity was defined as a score of ≥ 5 on the EULAR Sjögren’s Syndrome Disease Activity Index (ESSDAI).

A post hoc responder analysis demonstrated that dazodalibep outperformed placebo in patients who achieved a 5- or 6-point improvement on the ESSDAI. Response rates for these patients was 61.1% and 60.0%, respectively, compared with 35.1% and 34.3% for patients who received placebo. Patients who received dazodalibep experienced a reduction of –6.3 ± 0.6 points in ESSDAI score, whereas the placebo group experienced a reduction of –4.1 ± 0.6 points, a difference of –2.2 (P = .0167). However, there was no significant change in any symptom-related score in this population.
 

Patients with unacceptable symptom burden but limited systemic involvement

Also at EULAR 2023, Chiara Baldini, MD, of the University of Pisa, Italy, reported the results from the second group of 109 adult patients with Sjögren’s syndrome who had notable symptom burden but limited systemic organ involvement. “These patients represent a significant portion of individuals with reduced quality of life who are largely excluded from other clinical trials,” Dr. Baldini said in an interview. The study population was defined by having a EULAR Sjögren’s Syndrome Patient Reported Index (ESSPRI) ≥ 5 and, in contrast to the previous group, an ESSDAI score < 5.

In this case, treatment with dazodalibep correlated with a substantial reduction in symptom burden, compared with placebo. Among the patients who received dazodalibep, 66.7% achieved ≥ 1 point or ≥ 15% reduction in symptoms, as measured by ESSPRI, compared with 32.7% in the placebo group. The ESSPRI score decreased by –1.80 ± 0.23 points in the dazodalibep group, while it decreased by –0.53 ± 0.23 points in the placebo group, a difference of −1.27 ± 0.33 points favoring dazodalibep (P = .0002). The reduction in symptoms in the dazodalibep group was evident from the first data point on day 29 and was statistically significant for each of the three symptom components included in the ESSPRI score: dryness, pain, and fatigue.

Additionally, a significant improvement was observed in one of the secondary endpoints, namely, a reduction in the Functional Assessment of Chronic Illness Therapy-Fatigue score. The dazodalibep group exhibited a considerably greater reduction (+8.1 ± 1.4, compared with baseline) than did the placebo group (+2.8 ± 1.4; P = .0095).
 

 

 

Dazodalibep safety

“Dazodalibep therapy was generally safe and well tolerated,” Dr. Baldini said in her presentation. Adverse events that were reported for both investigations were generally mild and occurred with similar frequency between the treatment groups. The most commonly reported adverse events, each occurring in more than 5% of patients who received dazodalibep, were COVID-19, diarrhea, anemia, dizziness, ligament sprain, upper respiratory tract infection, and nasopharyngitis. The incidence of COVID-19 and nasopharyngitis was comparable between the treatment and placebo arms.

However, in the patient group with moderate to high systemic disease activity, one patient who was treated with dazodalibep experienced two serious adverse events: a grade 3 SARS-CoV-2 infection, and subsequent death from an unknown cause, which occurred 46 days after the last administration of dazodalibep (12 days after COVID-19 diagnosis). Additionally, there was one case of herpes zoster in a patient treated with dazodalibep. In the group with limited systemic organ involvement, three serious adverse events were reported in the dazodalibep group (pneumonia influenza, postacute COVID-19 syndrome [long COVID], and gammopathy); one serious adverse event (neutropenia) was reported in the placebo group. One patient in the dazodalibep group discontinued participation in the study because of an adverse event, compared with two in the placebo group. Investigators determined that, thus far, all serious adverse events in both populations have been unrelated to the medication.

Throughout the trial, eligible participants in both populations were randomly assigned in a 1:1 ratio to receive either intravenous dazodalibep 1,500 mg or placebo every 2 weeks for three doses, followed by every 4 weeks for an additional four doses, up to day 169. The majority of participants in all populations and treatment arms were women (> 90%). Key inclusion criteria were being aged 18 years or older, meeting the 2016 American College of Rheumatology–EULAR classification criteria for Sjögren’s syndrome, and testing positive for anti-SSA and/or rheumatoid factors. Exclusion criteria were having a medical history of thrombosis or anticoagulant use, as well as prior treatment with B cell–depleting therapies. The proportions of patients who received glucocorticoids, antimalarials, or disease-modifying antirheumatic drugs were consistent between both arms of each population.

“Larger clinical trials are necessary to validate the clinical effectiveness and safety of dazodalibep therapy in this specific subgroup of patients,” Dr. Baldini concluded. Currently, dazodalibep is being studied for the treatment of rheumatoid arthritis and renal transplant rejection, and Horizon Therapeutics has plans to explore its use in focal segmental glomerulosclerosis.

Dr. Ng has served as a consultant to Novartis, GlaxoSmithKline, AbbVie, Bristol-Myers Squibb, Sanofi, MedImmune, Resolves Therapeutics, Janssen, and UCB. Dr. Baldini has served as a consultant to GlaxoSmithKline and Sanofi.

A version of this article first appeared on Medscape.com.

Publications
Publications
Topics
Article Type
Sections
Article Source

AT EULAR 2023

Disallow All Ads
Content Gating
No Gating (article Unlocked/Free)
Alternative CME
Disqus Comments
Default
Use ProPublica
Hide sidebar & use full width
render the right sidebar.
Conference Recap Checkbox
Not Conference Recap
Clinical Edge
Display the Slideshow in this Article
Medscape Article
Display survey writer
Reuters content
Disable Inline Native ads
WebMD Article

Why not both? Dual biologics for treatment-resistant RA and PsA

Article Type
Changed
Mon, 06/12/2023 - 18:26

The introduction of tumor necrosis factor (TNF) inhibitors in the late 1990s revolutionized treatment of rheumatic diseases, such as rheumatoid arthritis (RA) and psoriatic arthritis (PsA), providing patients with another treatment option when conventional therapies were ineffective. However, when these diseases don’t respond to anti-TNF therapy, it is still difficult to determine the next best course of action.

“One of the big challenges we have in treatment of psoriatic arthritis, and I would say rheumatoid arthritis was well, is how to handle patients who have failed their first biologic therapy,” Christopher T. Ritchlin, MD, MPH, professor of allergy, immunology, and rheumatology at the University of Rochester (N.Y.), told this news organization. “In the case of both RA and PsA, that’s quite frequently an anti-TNF agent.”

Dr. Christopher T. Ritchlin

For an estimated 30% to 40% of patients, TNF inhibitor therapy is discontinued because of nonresponse or intolerance. Clinicians can switch to another biologic or targeted synthetic disease-modifying antirheumatic drug (DMARD) or add another conventional DMARD, such as methotrexate. Now, several case studies as well as promising findings from phase 2 clinical trials suggest that combining two biologics could be an alternative strategy to improve patient response to treatment. However, concerns about safety and higher costs remain.
 

Targeting multiple mechanisms of action

Rheumatic conditions affect multiple areas of the body and involve different signaling pathways, said Dr. Ritchlin, who heads the Clinical Immunology Research Unit at the University of Rochester. PsA, for example, affects the skin, peripheral joints, the axial skeleton, and the entheses.

“The question is, Are these various manifestations – of which multiple [ones] are often seen in one patient – likely to respond to one therapy that targets one single pathway?” he said.

Combination therapies have been effective in treating leukemia and lymphoma as well as infection with HIV, Melek Yalçin Mutlu, MD, and colleagues from Friedrich Alexander University Erlangen-Nuremberg and the University Clinic Erlangen (Germany), wrote in a review about combining biologic DMARDs in the treatment of RA and PsA. The review was published in Joint Bone Spine.

“Cumulative evidence on the success of combination therapies in various diseases supports an akin approach in rheumatology, and simultaneous or sequential blockade of multiple mechanisms that generate or propagate arthritis could theoretically enhance efficacy,” the authors wrote. “On the other hand, intervening on multiple targets in the immune system brings about a risk of adverse events, among which infection is a major concern.”
 

Failed clinical trials

Clinical trials of combination biologic therapies for rheumatic disease have been tried before, but these combinations did not show superior efficacy, and they increased patients’ risk for infection. One study published in 2004 compared monotherapy with the TNF inhibitor etanercept (Enbrel) to the combination of etanercept and anakinra (Kineret), an interleukin-1 (IL-1) antagonist, in 244 patients with active RA despite methotrexate therapy. Researchers found no statistically significant difference in achieving 20% improvement in modified American College of Rheumatology response criteria (ACR20), ACR50, or ACR70 between the groups that received etanercept and anakinra and those that received etanercept alone. There were nine serious infections among patients given etanercept and anakinra, including one death due to pneumonia. There were no serious infections in the etanercept monotherapy group.

In another RA trial, 121 patients were given etanercept 25 mg twice weekly and were randomly assigned to also receive a placebo or low-dose abatacept (Orencia), a T-cell co-stimulation inhibitor. There was no significant difference in disease improvement between the two groups, although the rate of serious adverse events was nearly six times higher in the etanercept-abatacept group (16.5% vs. 2.8%).

These studies had a “chilling effect on the whole field for some years,” Brian G. Feagan, MD, the senior scientific director of the gastrointestinal contract research firm Alimentiv in London, Ontario, told this news organization. People were reluctant to try new biologic combinations, owing to the fear that these safety issues would plague subsequent trials.

University of Western Ontario, London
Dr. Brian G. Feagan

 

Promising combinations

But a recent phase 2 trial, led by Dr. Feagan, suggests that certain combinations can be effective. In the Janssen-sponsored VEGA trial, researchers found that a combination of guselkumab (Tremfya), an IL-23 inhibitor, and golimumab (Simponi), an anti-TNF agent, was more effective than either drug used as monotherapy for initial induction treatment for moderate to severe ulcerative colitis. Importantly, there was no difference in adverse events between any of the groups. This same combination therapy is now being tried for patients with active PsA in Janssen’s AFFINITY trial, for which Dr. Ritchlin is one of the lead investigators.

Other trials have also delivered promising results. One study enrolled 51 adults with active RA who were all receiving stable doses of both a TNF inhibitor – either etanercept or adalimumab (Humira) – and methotrexate. Patients were randomly assigned to receive one course of rituximab (Rituxan) or placebo. The researchers found that the safety profile of this TNF inhibitor/methotrexate/rituximab combination was “consistent” with the safety profiles of previous studies of methotrexate/rituximab dual combinations with no TNF inhibitor; there were no new safety signals. At 24 weeks, 30% of the group that received rituximab reached ACR20, compared with 17% of the group that was given placebo. Twelve percent of the rituximab group achieved ACR50, compared with 6% of the group that received placebo.

“B-cell depletion is fundamentally different from cytokine inhibition and even from co-stimulation blockade, making an additive effect more likely,” Dr. Mutlu and colleagues wrote in their review. Reports have also suggested possible benefits of combining a TNF inhibitor and an IL-17 inhibitor in the treatment of RA and PsA, as well as the combination of a TNF inhibitor and an IL-23 antagonist for PsA.

While these combinations require controlled clinical trials, “there’s some smoke signals out there that this might be an effective strategy for some patients,” Dr. Ritchlin said.

In addition to the AFFINITY trial, two clinical trials are underway in France. The first, CRI-RA, is evaluating the combination of baricitinib (Olumiant), a Janus kinase (JAK) inhibitor, and adalimumab. Although baricitinib is not a biologic, as a targeted synthetic DMARD, the therapy is more potent than conventional DMARDs, and the same potential safety concerns apply. However, use of a combination of tofacitinib (Xeljanz) and different biologics for RA patients has been reported; no serious side effects were reported over 11 months of therapy. The randomized, placebo-controlled trial began in July 2021 and will enroll 178 patients. The estimated study completion date is July 2025.

“Of note, baricitinib does not directly block signaling downstream of TNF, even if an indirect effect on TNF production is likely to occur,” the CRI-RA entry on clinicaltrials.gov reads. “Targeting multiple inflammatory cytokines in combination may lead to more effective treatment and enhanced clinical responses in patients with RA compared to the current second-line strategies.”

The second trial, SEQUENS-RA, is evaluating the use of TNF inhibitors followed by abatacept for patients with RA who test positive for anticitrullinated protein autoantibodies (ACPAs). In the past, the combination of a TNF inhibitor and abatacept did not lead to promising results, but in this trial, the drugs will be administered sequentially.

“Although abatacept has shown a very good tolerance profile that might be superior to other bDMARDs [biologic DMARDs], rheumatologists might be reluctant to use it as a first line bDMARD as there is a belief of a slower efficacy compared to other bDMARDs or JAK inhibitors,” according to the clinical trial’s description. “Investigators have hypothesized that first rapidly controlling the inflammation phase, using TNF inhibitors, followed by abatacept to induce an immunological remission, would optimize response and tolerance of ACPA-positive patients with RA.”

The randomized trial of 220 participants began in November 2022. The estimated completion date for the study is November 2025.
 

 

 

Finding the right patients

Though these studies have had some promising results, the difference in efficacy between biologic monotherapy and dual therapy has been mostly moderate, Dr. Mutlu and coauthors wrote. Identifying disease subtypes for which there might be a higher likelihood of response to dual biologic treatment, especially multidrug-resistant types, could improve efficacies in future trials, they argued. “The good effects of bDMARD combinations in resistant patients in fact point into this direction, though they were observed in uncontrolled studies,” the authors noted.

Insurance coverage remains a “huge challenge” for these dual therapies because of the higher expense, noted Dr. Ritchlin. Better targeting therapies could help convince these companies to pay for these therapies.

“I would say that if we were able to demonstrate a phenotype of a patient that would respond to biologics and not monotherapies, [then] many companies would be amenable to this kind of approach,” he said.

Dr. Ritchlin reports financial relationships with AbbVie, Bristol-Myers Squibb, Janssen, Pfizer, Eli Lilly, Novartis, and UCB. Dr. Feagan reports financial relationships with AbbVie, Amgen, Janssen, Pfizer, Takeda, and several other pharmaceutical companies.

A version of this article first appeared on Medscape.com.

Publications
Topics
Sections

The introduction of tumor necrosis factor (TNF) inhibitors in the late 1990s revolutionized treatment of rheumatic diseases, such as rheumatoid arthritis (RA) and psoriatic arthritis (PsA), providing patients with another treatment option when conventional therapies were ineffective. However, when these diseases don’t respond to anti-TNF therapy, it is still difficult to determine the next best course of action.

“One of the big challenges we have in treatment of psoriatic arthritis, and I would say rheumatoid arthritis was well, is how to handle patients who have failed their first biologic therapy,” Christopher T. Ritchlin, MD, MPH, professor of allergy, immunology, and rheumatology at the University of Rochester (N.Y.), told this news organization. “In the case of both RA and PsA, that’s quite frequently an anti-TNF agent.”

Dr. Christopher T. Ritchlin

For an estimated 30% to 40% of patients, TNF inhibitor therapy is discontinued because of nonresponse or intolerance. Clinicians can switch to another biologic or targeted synthetic disease-modifying antirheumatic drug (DMARD) or add another conventional DMARD, such as methotrexate. Now, several case studies as well as promising findings from phase 2 clinical trials suggest that combining two biologics could be an alternative strategy to improve patient response to treatment. However, concerns about safety and higher costs remain.
 

Targeting multiple mechanisms of action

Rheumatic conditions affect multiple areas of the body and involve different signaling pathways, said Dr. Ritchlin, who heads the Clinical Immunology Research Unit at the University of Rochester. PsA, for example, affects the skin, peripheral joints, the axial skeleton, and the entheses.

“The question is, Are these various manifestations – of which multiple [ones] are often seen in one patient – likely to respond to one therapy that targets one single pathway?” he said.

Combination therapies have been effective in treating leukemia and lymphoma as well as infection with HIV, Melek Yalçin Mutlu, MD, and colleagues from Friedrich Alexander University Erlangen-Nuremberg and the University Clinic Erlangen (Germany), wrote in a review about combining biologic DMARDs in the treatment of RA and PsA. The review was published in Joint Bone Spine.

“Cumulative evidence on the success of combination therapies in various diseases supports an akin approach in rheumatology, and simultaneous or sequential blockade of multiple mechanisms that generate or propagate arthritis could theoretically enhance efficacy,” the authors wrote. “On the other hand, intervening on multiple targets in the immune system brings about a risk of adverse events, among which infection is a major concern.”
 

Failed clinical trials

Clinical trials of combination biologic therapies for rheumatic disease have been tried before, but these combinations did not show superior efficacy, and they increased patients’ risk for infection. One study published in 2004 compared monotherapy with the TNF inhibitor etanercept (Enbrel) to the combination of etanercept and anakinra (Kineret), an interleukin-1 (IL-1) antagonist, in 244 patients with active RA despite methotrexate therapy. Researchers found no statistically significant difference in achieving 20% improvement in modified American College of Rheumatology response criteria (ACR20), ACR50, or ACR70 between the groups that received etanercept and anakinra and those that received etanercept alone. There were nine serious infections among patients given etanercept and anakinra, including one death due to pneumonia. There were no serious infections in the etanercept monotherapy group.

In another RA trial, 121 patients were given etanercept 25 mg twice weekly and were randomly assigned to also receive a placebo or low-dose abatacept (Orencia), a T-cell co-stimulation inhibitor. There was no significant difference in disease improvement between the two groups, although the rate of serious adverse events was nearly six times higher in the etanercept-abatacept group (16.5% vs. 2.8%).

These studies had a “chilling effect on the whole field for some years,” Brian G. Feagan, MD, the senior scientific director of the gastrointestinal contract research firm Alimentiv in London, Ontario, told this news organization. People were reluctant to try new biologic combinations, owing to the fear that these safety issues would plague subsequent trials.

University of Western Ontario, London
Dr. Brian G. Feagan

 

Promising combinations

But a recent phase 2 trial, led by Dr. Feagan, suggests that certain combinations can be effective. In the Janssen-sponsored VEGA trial, researchers found that a combination of guselkumab (Tremfya), an IL-23 inhibitor, and golimumab (Simponi), an anti-TNF agent, was more effective than either drug used as monotherapy for initial induction treatment for moderate to severe ulcerative colitis. Importantly, there was no difference in adverse events between any of the groups. This same combination therapy is now being tried for patients with active PsA in Janssen’s AFFINITY trial, for which Dr. Ritchlin is one of the lead investigators.

Other trials have also delivered promising results. One study enrolled 51 adults with active RA who were all receiving stable doses of both a TNF inhibitor – either etanercept or adalimumab (Humira) – and methotrexate. Patients were randomly assigned to receive one course of rituximab (Rituxan) or placebo. The researchers found that the safety profile of this TNF inhibitor/methotrexate/rituximab combination was “consistent” with the safety profiles of previous studies of methotrexate/rituximab dual combinations with no TNF inhibitor; there were no new safety signals. At 24 weeks, 30% of the group that received rituximab reached ACR20, compared with 17% of the group that was given placebo. Twelve percent of the rituximab group achieved ACR50, compared with 6% of the group that received placebo.

“B-cell depletion is fundamentally different from cytokine inhibition and even from co-stimulation blockade, making an additive effect more likely,” Dr. Mutlu and colleagues wrote in their review. Reports have also suggested possible benefits of combining a TNF inhibitor and an IL-17 inhibitor in the treatment of RA and PsA, as well as the combination of a TNF inhibitor and an IL-23 antagonist for PsA.

While these combinations require controlled clinical trials, “there’s some smoke signals out there that this might be an effective strategy for some patients,” Dr. Ritchlin said.

In addition to the AFFINITY trial, two clinical trials are underway in France. The first, CRI-RA, is evaluating the combination of baricitinib (Olumiant), a Janus kinase (JAK) inhibitor, and adalimumab. Although baricitinib is not a biologic, as a targeted synthetic DMARD, the therapy is more potent than conventional DMARDs, and the same potential safety concerns apply. However, use of a combination of tofacitinib (Xeljanz) and different biologics for RA patients has been reported; no serious side effects were reported over 11 months of therapy. The randomized, placebo-controlled trial began in July 2021 and will enroll 178 patients. The estimated study completion date is July 2025.

“Of note, baricitinib does not directly block signaling downstream of TNF, even if an indirect effect on TNF production is likely to occur,” the CRI-RA entry on clinicaltrials.gov reads. “Targeting multiple inflammatory cytokines in combination may lead to more effective treatment and enhanced clinical responses in patients with RA compared to the current second-line strategies.”

The second trial, SEQUENS-RA, is evaluating the use of TNF inhibitors followed by abatacept for patients with RA who test positive for anticitrullinated protein autoantibodies (ACPAs). In the past, the combination of a TNF inhibitor and abatacept did not lead to promising results, but in this trial, the drugs will be administered sequentially.

“Although abatacept has shown a very good tolerance profile that might be superior to other bDMARDs [biologic DMARDs], rheumatologists might be reluctant to use it as a first line bDMARD as there is a belief of a slower efficacy compared to other bDMARDs or JAK inhibitors,” according to the clinical trial’s description. “Investigators have hypothesized that first rapidly controlling the inflammation phase, using TNF inhibitors, followed by abatacept to induce an immunological remission, would optimize response and tolerance of ACPA-positive patients with RA.”

The randomized trial of 220 participants began in November 2022. The estimated completion date for the study is November 2025.
 

 

 

Finding the right patients

Though these studies have had some promising results, the difference in efficacy between biologic monotherapy and dual therapy has been mostly moderate, Dr. Mutlu and coauthors wrote. Identifying disease subtypes for which there might be a higher likelihood of response to dual biologic treatment, especially multidrug-resistant types, could improve efficacies in future trials, they argued. “The good effects of bDMARD combinations in resistant patients in fact point into this direction, though they were observed in uncontrolled studies,” the authors noted.

Insurance coverage remains a “huge challenge” for these dual therapies because of the higher expense, noted Dr. Ritchlin. Better targeting therapies could help convince these companies to pay for these therapies.

“I would say that if we were able to demonstrate a phenotype of a patient that would respond to biologics and not monotherapies, [then] many companies would be amenable to this kind of approach,” he said.

Dr. Ritchlin reports financial relationships with AbbVie, Bristol-Myers Squibb, Janssen, Pfizer, Eli Lilly, Novartis, and UCB. Dr. Feagan reports financial relationships with AbbVie, Amgen, Janssen, Pfizer, Takeda, and several other pharmaceutical companies.

A version of this article first appeared on Medscape.com.

The introduction of tumor necrosis factor (TNF) inhibitors in the late 1990s revolutionized treatment of rheumatic diseases, such as rheumatoid arthritis (RA) and psoriatic arthritis (PsA), providing patients with another treatment option when conventional therapies were ineffective. However, when these diseases don’t respond to anti-TNF therapy, it is still difficult to determine the next best course of action.

“One of the big challenges we have in treatment of psoriatic arthritis, and I would say rheumatoid arthritis was well, is how to handle patients who have failed their first biologic therapy,” Christopher T. Ritchlin, MD, MPH, professor of allergy, immunology, and rheumatology at the University of Rochester (N.Y.), told this news organization. “In the case of both RA and PsA, that’s quite frequently an anti-TNF agent.”

Dr. Christopher T. Ritchlin

For an estimated 30% to 40% of patients, TNF inhibitor therapy is discontinued because of nonresponse or intolerance. Clinicians can switch to another biologic or targeted synthetic disease-modifying antirheumatic drug (DMARD) or add another conventional DMARD, such as methotrexate. Now, several case studies as well as promising findings from phase 2 clinical trials suggest that combining two biologics could be an alternative strategy to improve patient response to treatment. However, concerns about safety and higher costs remain.
 

Targeting multiple mechanisms of action

Rheumatic conditions affect multiple areas of the body and involve different signaling pathways, said Dr. Ritchlin, who heads the Clinical Immunology Research Unit at the University of Rochester. PsA, for example, affects the skin, peripheral joints, the axial skeleton, and the entheses.

“The question is, Are these various manifestations – of which multiple [ones] are often seen in one patient – likely to respond to one therapy that targets one single pathway?” he said.

Combination therapies have been effective in treating leukemia and lymphoma as well as infection with HIV, Melek Yalçin Mutlu, MD, and colleagues from Friedrich Alexander University Erlangen-Nuremberg and the University Clinic Erlangen (Germany), wrote in a review about combining biologic DMARDs in the treatment of RA and PsA. The review was published in Joint Bone Spine.

“Cumulative evidence on the success of combination therapies in various diseases supports an akin approach in rheumatology, and simultaneous or sequential blockade of multiple mechanisms that generate or propagate arthritis could theoretically enhance efficacy,” the authors wrote. “On the other hand, intervening on multiple targets in the immune system brings about a risk of adverse events, among which infection is a major concern.”
 

Failed clinical trials

Clinical trials of combination biologic therapies for rheumatic disease have been tried before, but these combinations did not show superior efficacy, and they increased patients’ risk for infection. One study published in 2004 compared monotherapy with the TNF inhibitor etanercept (Enbrel) to the combination of etanercept and anakinra (Kineret), an interleukin-1 (IL-1) antagonist, in 244 patients with active RA despite methotrexate therapy. Researchers found no statistically significant difference in achieving 20% improvement in modified American College of Rheumatology response criteria (ACR20), ACR50, or ACR70 between the groups that received etanercept and anakinra and those that received etanercept alone. There were nine serious infections among patients given etanercept and anakinra, including one death due to pneumonia. There were no serious infections in the etanercept monotherapy group.

In another RA trial, 121 patients were given etanercept 25 mg twice weekly and were randomly assigned to also receive a placebo or low-dose abatacept (Orencia), a T-cell co-stimulation inhibitor. There was no significant difference in disease improvement between the two groups, although the rate of serious adverse events was nearly six times higher in the etanercept-abatacept group (16.5% vs. 2.8%).

These studies had a “chilling effect on the whole field for some years,” Brian G. Feagan, MD, the senior scientific director of the gastrointestinal contract research firm Alimentiv in London, Ontario, told this news organization. People were reluctant to try new biologic combinations, owing to the fear that these safety issues would plague subsequent trials.

University of Western Ontario, London
Dr. Brian G. Feagan

 

Promising combinations

But a recent phase 2 trial, led by Dr. Feagan, suggests that certain combinations can be effective. In the Janssen-sponsored VEGA trial, researchers found that a combination of guselkumab (Tremfya), an IL-23 inhibitor, and golimumab (Simponi), an anti-TNF agent, was more effective than either drug used as monotherapy for initial induction treatment for moderate to severe ulcerative colitis. Importantly, there was no difference in adverse events between any of the groups. This same combination therapy is now being tried for patients with active PsA in Janssen’s AFFINITY trial, for which Dr. Ritchlin is one of the lead investigators.

Other trials have also delivered promising results. One study enrolled 51 adults with active RA who were all receiving stable doses of both a TNF inhibitor – either etanercept or adalimumab (Humira) – and methotrexate. Patients were randomly assigned to receive one course of rituximab (Rituxan) or placebo. The researchers found that the safety profile of this TNF inhibitor/methotrexate/rituximab combination was “consistent” with the safety profiles of previous studies of methotrexate/rituximab dual combinations with no TNF inhibitor; there were no new safety signals. At 24 weeks, 30% of the group that received rituximab reached ACR20, compared with 17% of the group that was given placebo. Twelve percent of the rituximab group achieved ACR50, compared with 6% of the group that received placebo.

“B-cell depletion is fundamentally different from cytokine inhibition and even from co-stimulation blockade, making an additive effect more likely,” Dr. Mutlu and colleagues wrote in their review. Reports have also suggested possible benefits of combining a TNF inhibitor and an IL-17 inhibitor in the treatment of RA and PsA, as well as the combination of a TNF inhibitor and an IL-23 antagonist for PsA.

While these combinations require controlled clinical trials, “there’s some smoke signals out there that this might be an effective strategy for some patients,” Dr. Ritchlin said.

In addition to the AFFINITY trial, two clinical trials are underway in France. The first, CRI-RA, is evaluating the combination of baricitinib (Olumiant), a Janus kinase (JAK) inhibitor, and adalimumab. Although baricitinib is not a biologic, as a targeted synthetic DMARD, the therapy is more potent than conventional DMARDs, and the same potential safety concerns apply. However, use of a combination of tofacitinib (Xeljanz) and different biologics for RA patients has been reported; no serious side effects were reported over 11 months of therapy. The randomized, placebo-controlled trial began in July 2021 and will enroll 178 patients. The estimated study completion date is July 2025.

“Of note, baricitinib does not directly block signaling downstream of TNF, even if an indirect effect on TNF production is likely to occur,” the CRI-RA entry on clinicaltrials.gov reads. “Targeting multiple inflammatory cytokines in combination may lead to more effective treatment and enhanced clinical responses in patients with RA compared to the current second-line strategies.”

The second trial, SEQUENS-RA, is evaluating the use of TNF inhibitors followed by abatacept for patients with RA who test positive for anticitrullinated protein autoantibodies (ACPAs). In the past, the combination of a TNF inhibitor and abatacept did not lead to promising results, but in this trial, the drugs will be administered sequentially.

“Although abatacept has shown a very good tolerance profile that might be superior to other bDMARDs [biologic DMARDs], rheumatologists might be reluctant to use it as a first line bDMARD as there is a belief of a slower efficacy compared to other bDMARDs or JAK inhibitors,” according to the clinical trial’s description. “Investigators have hypothesized that first rapidly controlling the inflammation phase, using TNF inhibitors, followed by abatacept to induce an immunological remission, would optimize response and tolerance of ACPA-positive patients with RA.”

The randomized trial of 220 participants began in November 2022. The estimated completion date for the study is November 2025.
 

 

 

Finding the right patients

Though these studies have had some promising results, the difference in efficacy between biologic monotherapy and dual therapy has been mostly moderate, Dr. Mutlu and coauthors wrote. Identifying disease subtypes for which there might be a higher likelihood of response to dual biologic treatment, especially multidrug-resistant types, could improve efficacies in future trials, they argued. “The good effects of bDMARD combinations in resistant patients in fact point into this direction, though they were observed in uncontrolled studies,” the authors noted.

Insurance coverage remains a “huge challenge” for these dual therapies because of the higher expense, noted Dr. Ritchlin. Better targeting therapies could help convince these companies to pay for these therapies.

“I would say that if we were able to demonstrate a phenotype of a patient that would respond to biologics and not monotherapies, [then] many companies would be amenable to this kind of approach,” he said.

Dr. Ritchlin reports financial relationships with AbbVie, Bristol-Myers Squibb, Janssen, Pfizer, Eli Lilly, Novartis, and UCB. Dr. Feagan reports financial relationships with AbbVie, Amgen, Janssen, Pfizer, Takeda, and several other pharmaceutical companies.

A version of this article first appeared on Medscape.com.

Publications
Publications
Topics
Article Type
Sections
Disallow All Ads
Content Gating
No Gating (article Unlocked/Free)
Alternative CME
Disqus Comments
Default
Use ProPublica
Hide sidebar & use full width
render the right sidebar.
Conference Recap Checkbox
Not Conference Recap
Clinical Edge
Display the Slideshow in this Article
Medscape Article
Display survey writer
Reuters content
Disable Inline Native ads
WebMD Article

WHO advises against nonsugar sweeteners for weight control

Article Type
Changed
Wed, 06/14/2023 - 09:43

 

A new guideline from the World Health Organization on nonsugar sweeteners (NSSs) recommends not using them to control weight or reduce the risk for diabetes, heart disease, or cancer. These sweeteners include aspartame, acesulfame K, advantame, saccharine, sucralose, stevia, and stevia derivatives.

The recommendation is based on the findings of a systematic review that collected data from 283 studies in adults, children, pregnant women, and mixed populations.

The findings suggest that use of NSSs does not confer any long-term benefit in reducing body fat in adults or children. They also suggest that long-term use of NSSs may have potential undesirable effects.

To clarify, short-term NSS use results in a small reduction in body weight and body mass index in adults without significant effects on other measures of adiposity or cardiometabolic health, including fasting glucose, insulin, blood lipids, and blood pressure.

Conversely, on a long-term basis, results from prospective cohort studies suggest that higher NSS intake is associated with increased risk for type 2 diabetes, cardiovascular diseases, and all-cause mortality in adults (very low– to low-certainty evidence). 

Regarding the risk for cancer, results from case-control studies suggest an association between saccharine intake and bladder cancer (very low certainty evidence), but significant associations for other types of cancer were not observed in case-control studies or meta-analysis of prospective cohort studies.

Relatively fewer studies were found for children, and results were largely inconclusive.

Finally, results for pregnant women suggest that higher NSS intake is associated with increased risk for preterm birth (low-certainty evidence) and possibly adiposity in offspring (very low–certainty evidence).
 

Reducing sugar consumption

“Replacing free sugars with NSS does not help with weight control in the long-term. People need to consider other ways to reduce free sugars intake, such as consuming food with naturally occurring sugars, like fruit, or unsweetened food and beverages,” Francesco Branca, MD, PhD, WHO director of the department of nutrition and food safety, said in a press release. 

“NSSs are not essential dietary factors and have no nutritional value. People should reduce the sweetness of the diet altogether, starting early in life, to improve their health,” he added.
 

Applying the guideline

The recommendation applies to all people except individuals with preexisting diabetes and includes all synthetic and naturally occurring or modified nonnutritive sweeteners, said the WHO. 

The recommendation does not apply to personal care and hygiene products containing NSSs, such as toothpaste, skin cream, and medications, or to low-calorie sugars and sugar alcohols (polyols).

Because the link observed in the evidence between NSSs and disease outcomes might be confounded by the baseline characteristics of study participants and complicated patterns of NSS use, the recommendation has been assessed as “conditional” by the WHO. 

“This signals that policy decisions based on this recommendation may require substantive discussion in specific country contexts, linked for example to the extent of consumption in different age groups,” said the WHO press release. 

This article was translated from the Medscape French Edition . A version of the article appeared on Medscape.com.

Publications
Topics
Sections

 

A new guideline from the World Health Organization on nonsugar sweeteners (NSSs) recommends not using them to control weight or reduce the risk for diabetes, heart disease, or cancer. These sweeteners include aspartame, acesulfame K, advantame, saccharine, sucralose, stevia, and stevia derivatives.

The recommendation is based on the findings of a systematic review that collected data from 283 studies in adults, children, pregnant women, and mixed populations.

The findings suggest that use of NSSs does not confer any long-term benefit in reducing body fat in adults or children. They also suggest that long-term use of NSSs may have potential undesirable effects.

To clarify, short-term NSS use results in a small reduction in body weight and body mass index in adults without significant effects on other measures of adiposity or cardiometabolic health, including fasting glucose, insulin, blood lipids, and blood pressure.

Conversely, on a long-term basis, results from prospective cohort studies suggest that higher NSS intake is associated with increased risk for type 2 diabetes, cardiovascular diseases, and all-cause mortality in adults (very low– to low-certainty evidence). 

Regarding the risk for cancer, results from case-control studies suggest an association between saccharine intake and bladder cancer (very low certainty evidence), but significant associations for other types of cancer were not observed in case-control studies or meta-analysis of prospective cohort studies.

Relatively fewer studies were found for children, and results were largely inconclusive.

Finally, results for pregnant women suggest that higher NSS intake is associated with increased risk for preterm birth (low-certainty evidence) and possibly adiposity in offspring (very low–certainty evidence).
 

Reducing sugar consumption

“Replacing free sugars with NSS does not help with weight control in the long-term. People need to consider other ways to reduce free sugars intake, such as consuming food with naturally occurring sugars, like fruit, or unsweetened food and beverages,” Francesco Branca, MD, PhD, WHO director of the department of nutrition and food safety, said in a press release. 

“NSSs are not essential dietary factors and have no nutritional value. People should reduce the sweetness of the diet altogether, starting early in life, to improve their health,” he added.
 

Applying the guideline

The recommendation applies to all people except individuals with preexisting diabetes and includes all synthetic and naturally occurring or modified nonnutritive sweeteners, said the WHO. 

The recommendation does not apply to personal care and hygiene products containing NSSs, such as toothpaste, skin cream, and medications, or to low-calorie sugars and sugar alcohols (polyols).

Because the link observed in the evidence between NSSs and disease outcomes might be confounded by the baseline characteristics of study participants and complicated patterns of NSS use, the recommendation has been assessed as “conditional” by the WHO. 

“This signals that policy decisions based on this recommendation may require substantive discussion in specific country contexts, linked for example to the extent of consumption in different age groups,” said the WHO press release. 

This article was translated from the Medscape French Edition . A version of the article appeared on Medscape.com.

 

A new guideline from the World Health Organization on nonsugar sweeteners (NSSs) recommends not using them to control weight or reduce the risk for diabetes, heart disease, or cancer. These sweeteners include aspartame, acesulfame K, advantame, saccharine, sucralose, stevia, and stevia derivatives.

The recommendation is based on the findings of a systematic review that collected data from 283 studies in adults, children, pregnant women, and mixed populations.

The findings suggest that use of NSSs does not confer any long-term benefit in reducing body fat in adults or children. They also suggest that long-term use of NSSs may have potential undesirable effects.

To clarify, short-term NSS use results in a small reduction in body weight and body mass index in adults without significant effects on other measures of adiposity or cardiometabolic health, including fasting glucose, insulin, blood lipids, and blood pressure.

Conversely, on a long-term basis, results from prospective cohort studies suggest that higher NSS intake is associated with increased risk for type 2 diabetes, cardiovascular diseases, and all-cause mortality in adults (very low– to low-certainty evidence). 

Regarding the risk for cancer, results from case-control studies suggest an association between saccharine intake and bladder cancer (very low certainty evidence), but significant associations for other types of cancer were not observed in case-control studies or meta-analysis of prospective cohort studies.

Relatively fewer studies were found for children, and results were largely inconclusive.

Finally, results for pregnant women suggest that higher NSS intake is associated with increased risk for preterm birth (low-certainty evidence) and possibly adiposity in offspring (very low–certainty evidence).
 

Reducing sugar consumption

“Replacing free sugars with NSS does not help with weight control in the long-term. People need to consider other ways to reduce free sugars intake, such as consuming food with naturally occurring sugars, like fruit, or unsweetened food and beverages,” Francesco Branca, MD, PhD, WHO director of the department of nutrition and food safety, said in a press release. 

“NSSs are not essential dietary factors and have no nutritional value. People should reduce the sweetness of the diet altogether, starting early in life, to improve their health,” he added.
 

Applying the guideline

The recommendation applies to all people except individuals with preexisting diabetes and includes all synthetic and naturally occurring or modified nonnutritive sweeteners, said the WHO. 

The recommendation does not apply to personal care and hygiene products containing NSSs, such as toothpaste, skin cream, and medications, or to low-calorie sugars and sugar alcohols (polyols).

Because the link observed in the evidence between NSSs and disease outcomes might be confounded by the baseline characteristics of study participants and complicated patterns of NSS use, the recommendation has been assessed as “conditional” by the WHO. 

“This signals that policy decisions based on this recommendation may require substantive discussion in specific country contexts, linked for example to the extent of consumption in different age groups,” said the WHO press release. 

This article was translated from the Medscape French Edition . A version of the article appeared on Medscape.com.

Publications
Publications
Topics
Article Type
Sections
Disallow All Ads
Content Gating
No Gating (article Unlocked/Free)
Alternative CME
Disqus Comments
Default
Use ProPublica
Hide sidebar & use full width
render the right sidebar.
Conference Recap Checkbox
Not Conference Recap
Clinical Edge
Display the Slideshow in this Article
Medscape Article
Display survey writer
Reuters content
Disable Inline Native ads
WebMD Article

EULAR PsA recommendations update emphasizes safety, nonmusculoskeletal manifestations

Article Type
Changed
Sun, 06/11/2023 - 11:19

 

AT EULAR 2023

– Safety considerations, particularly regarding the use of Janus kinase (JAK) inhibitors, are of utmost importance in the 2023 update to recommendations for managing psoriatic arthritis (PsA) by the European Alliance of Associations for Rheumatology (EULAR). Additionally, the selection of therapy should now take into account the complete clinical presentation, explicitly considering nonmusculoskeletal manifestations.

Dr. Laure Gossec
Presenting the updated recommendations, Laure Gossec, MD, PhD, professor of rheumatology at Pitié-Salpétriere Hospital and Sorbonne University, Paris, emphasized an increasingly manifestation-oriented approach, integrating a growing range of available drugs in a stepwise manner to optimize the balance between safety and efficacy and achieve the highest quality of care. These updates were developed over the past 8 months, guided by a comprehensive review of drug efficacy based on 38 publications covering 18 drugs, as well as a safety review encompassing 24 publications.
 

Safety considerations with JAK inhibitors

Expanding on the existing six overarching principles from the 2019 recommendations, the PsA EULAR recommendations now introduce a seventh principle: “The choice of treatment should consider safety considerations regarding individual modes of action to optimize the benefit-risk profile.”

This addition was prompted by recent safety data on JAK inhibitors, which revealed serious potential side effects, such as heart attacks, blood clots, cancer, and severe infections, that recently prompted the European Medicines Agency to restrict their use. As indicated by the new principle, safety considerations have been incorporated into several recommendations.

For instance, in the context of peripheral arthritis, JAK inhibitors may now be considered if there is an inadequate response to at least one conventional synthetic disease-modifying antirheumatic drug (csDMARD) such as methotrexate, sulfasalazine, or leflunomide, and at least one biologic DMARD (bDMARD).

Alternatively, JAK inhibitors may be utilized when bDMARDs are not suitable for other reasons. However, EULAR now emphasizes caution whenever JAK inhibitors are mentioned. Specifically, “careful consideration is necessary for patients aged 65 or above, current or past long-time smokers, individuals with a history of atherosclerotic cardiovascular disease or other cardiovascular risk factors, those with other malignancy risk factors, or individuals with a known risk for venous thromboembolism.”
 

Consider nonmusculoskeletal manifestations in treatment decisions

In another significant update, EULAR now recommends that the choice of therapy should also consider nonmusculoskeletal manifestations associated with PsA. “There is a notable shift in perspective here,” Dr. Gossec told this news organization. Clinically relevant skin involvement should prompt the use of IL-17A or IL-17A/F or IL-23 or IL-12/23 inhibitors, while uveitis should be treated with tumor necrosis factor (TNF) inhibitors.

In the case of inflammatory bowel disease, EULAR advises the use of anti-TNF agents, IL-12/23 or IL-23 inhibitors, or a JAK inhibitor. The recommended course of action within each treatment category is not ranked in order of preference, but EULAR emphasizes the importance of following EMA recommendations and considering safety.
 

Systemic glucocorticoids removed

Certain medications have been removed from the recommendations, reflecting the heightened focus on treatment safety. The use of systemic glucocorticoids as adjunctive therapy is no longer recommended. “We always had reservations about their use, and now we have eliminated them. We are aware that they are still utilized, with 30% of patients in Germany, for instance, receiving low doses of glucocorticoids. However, the long-term efficacy/safety balance of glucocorticoids is unfavorable in any disease, particularly in patients with psoriatic arthritis and multiple comorbidities,” Dr. Gossec explained.

 

 

NSAIDs and local glucocorticoids are now limited to specific patient populations, namely those affected by oligoarthritis without poor prognostic factors, entheseal disease, or predominant axial disease. Their use should be short-term, generally no longer than 4 weeks. Polyarthritis or oligoarthritis with poor prognostic factors should instead be treated directly with csDMARDs.
 

No specific biologic treatment order recommended for peripheral arthritis

Regarding patients with peripheral arthritis, recent efficacy data have led EULAR to refrain from recommending any specific order of preference for the use of bDMARDs, which encompass TNF inhibitors and drugs targeting the IL-17 and IL-12/23 pathways. “We lack the data to propose an order of preference in patients with peripheral arthritis. Different classes of molecules exhibit efficacy in joint inflammation, generally resulting in a 50% response rate and similar overall effects,” said Dr. Gossec, referencing head-to-head trials between biologics that yielded very comparable results, such as the EXCEED trial or SPIRIT-H2H trial.

The updated recommendations now consider two IL-23p19 inhibitors, guselkumab (Tremfya) and risankizumab (Skyrizi), the JAK inhibitor upadacitinib (Rinvoq), and the very recently EMA-approved bimekizumab (Bimzelx), an IL-17A/F double inhibitor.

The recommendation for patients with mono- or oligoarthritis and poor prognostic factors now aligns with the previous recommendations for polyarthritis: A csDMARD should be initiated promptly, with a preference for methotrexate if significant skin involvement is present. New data suggest that methotrexate may be beneficial for enthesitis, achieving resolution in approximately 30% of patients. When considering treatment options, JAK inhibitors may also be taken into account, with safety considerations in mind.

In cases of clinically relevant axial disease and an inadequate response to NSAIDs, therapy with an IL-17A inhibitor, a TNF inhibitor, an IL-17A/F inhibitor, or a JAK inhibitor may be considered. This approach now aligns with the most recent axial spondyloarthritis recommendation from EULAR and the Assessment of SpondyloArthritis international Society (ASAS).
 

Which disease manifestation to treat first?

During the discussion, chairwoman Uta Kiltz, MD, PhD, a rheumatologist at Rheumatism Center Ruhrgebiet, Herne, Germany, and clinical lecturer at Ruhr University Bochum, inquired about identifying the primary manifestation to guide the course of action.

“Psoriatic arthritis is highly heterogeneous, and determining the predominant manifestation is sometimes challenging,” Dr. Gossec said. “However, we believe that a certain order of preference is necessary when making treatment decisions. Starting with peripheral arthritis, which can lead to structural damage, allows for treatment selection based on that aspect. If peripheral arthritis is not present, attention should be directed towards axial disease, ensuring the presence of actual inflammation rather than solely axial pain, as mechanical origin axial pain can occur due to the patient’s age.”

David Liew, MBBS, PhD, consultant rheumatologist and clinical pharmacologist at Austin Health in Melbourne, commented on the update to this news organization: “We are fortunate to have a wide range of targeted therapy options for psoriatic arthritis, and these guidelines reflect this abundance of choices. They emphasize the importance of selecting therapies based on specific disease manifestations and tailoring care to each patient’s unique type of psoriatic arthritis. It’s worth noting that some changes in these guidelines were influenced by regulatory changes following ORAL Surveillance. In an era of numerous options, we can afford to be selective at times.”

Regarding safety concerns and JAK inhibitors, Dr. Liew added: “It is not surprising to see these guidelines impose certain restrictions on the use of JAK inhibitors, especially in psoriatic arthritis, where other therapies offer distinct advantages. Until high-quality evidence convincingly points away from a class effect, we can expect to see similar provisions in many more guidelines.”

Many of the recommendations’ authors report financial relationships with one or more pharmaceutical companies. These include AbbVie, Amgen, Biogen, Bristol-Myers Squibb, Boehringer Ingelheim, Celgene, Celltrion, Chugai, Galapagos, Gilead, GlaxoSmithKline, Janssen, Leo, Lilly, Medac, Merck, Merck Sharp & Dohme, Novartis, Pfizer, R-Pharma, Regeneron, Roche, Sandoz, Sanofi, Takeda, UCB, and Viatris.

EULAR funded the development of the recommendations.

A version of this article originally appeared on Medscape.com.

Meeting/Event
Publications
Topics
Sections
Meeting/Event
Meeting/Event

 

AT EULAR 2023

– Safety considerations, particularly regarding the use of Janus kinase (JAK) inhibitors, are of utmost importance in the 2023 update to recommendations for managing psoriatic arthritis (PsA) by the European Alliance of Associations for Rheumatology (EULAR). Additionally, the selection of therapy should now take into account the complete clinical presentation, explicitly considering nonmusculoskeletal manifestations.

Dr. Laure Gossec
Presenting the updated recommendations, Laure Gossec, MD, PhD, professor of rheumatology at Pitié-Salpétriere Hospital and Sorbonne University, Paris, emphasized an increasingly manifestation-oriented approach, integrating a growing range of available drugs in a stepwise manner to optimize the balance between safety and efficacy and achieve the highest quality of care. These updates were developed over the past 8 months, guided by a comprehensive review of drug efficacy based on 38 publications covering 18 drugs, as well as a safety review encompassing 24 publications.
 

Safety considerations with JAK inhibitors

Expanding on the existing six overarching principles from the 2019 recommendations, the PsA EULAR recommendations now introduce a seventh principle: “The choice of treatment should consider safety considerations regarding individual modes of action to optimize the benefit-risk profile.”

This addition was prompted by recent safety data on JAK inhibitors, which revealed serious potential side effects, such as heart attacks, blood clots, cancer, and severe infections, that recently prompted the European Medicines Agency to restrict their use. As indicated by the new principle, safety considerations have been incorporated into several recommendations.

For instance, in the context of peripheral arthritis, JAK inhibitors may now be considered if there is an inadequate response to at least one conventional synthetic disease-modifying antirheumatic drug (csDMARD) such as methotrexate, sulfasalazine, or leflunomide, and at least one biologic DMARD (bDMARD).

Alternatively, JAK inhibitors may be utilized when bDMARDs are not suitable for other reasons. However, EULAR now emphasizes caution whenever JAK inhibitors are mentioned. Specifically, “careful consideration is necessary for patients aged 65 or above, current or past long-time smokers, individuals with a history of atherosclerotic cardiovascular disease or other cardiovascular risk factors, those with other malignancy risk factors, or individuals with a known risk for venous thromboembolism.”
 

Consider nonmusculoskeletal manifestations in treatment decisions

In another significant update, EULAR now recommends that the choice of therapy should also consider nonmusculoskeletal manifestations associated with PsA. “There is a notable shift in perspective here,” Dr. Gossec told this news organization. Clinically relevant skin involvement should prompt the use of IL-17A or IL-17A/F or IL-23 or IL-12/23 inhibitors, while uveitis should be treated with tumor necrosis factor (TNF) inhibitors.

In the case of inflammatory bowel disease, EULAR advises the use of anti-TNF agents, IL-12/23 or IL-23 inhibitors, or a JAK inhibitor. The recommended course of action within each treatment category is not ranked in order of preference, but EULAR emphasizes the importance of following EMA recommendations and considering safety.
 

Systemic glucocorticoids removed

Certain medications have been removed from the recommendations, reflecting the heightened focus on treatment safety. The use of systemic glucocorticoids as adjunctive therapy is no longer recommended. “We always had reservations about their use, and now we have eliminated them. We are aware that they are still utilized, with 30% of patients in Germany, for instance, receiving low doses of glucocorticoids. However, the long-term efficacy/safety balance of glucocorticoids is unfavorable in any disease, particularly in patients with psoriatic arthritis and multiple comorbidities,” Dr. Gossec explained.

 

 

NSAIDs and local glucocorticoids are now limited to specific patient populations, namely those affected by oligoarthritis without poor prognostic factors, entheseal disease, or predominant axial disease. Their use should be short-term, generally no longer than 4 weeks. Polyarthritis or oligoarthritis with poor prognostic factors should instead be treated directly with csDMARDs.
 

No specific biologic treatment order recommended for peripheral arthritis

Regarding patients with peripheral arthritis, recent efficacy data have led EULAR to refrain from recommending any specific order of preference for the use of bDMARDs, which encompass TNF inhibitors and drugs targeting the IL-17 and IL-12/23 pathways. “We lack the data to propose an order of preference in patients with peripheral arthritis. Different classes of molecules exhibit efficacy in joint inflammation, generally resulting in a 50% response rate and similar overall effects,” said Dr. Gossec, referencing head-to-head trials between biologics that yielded very comparable results, such as the EXCEED trial or SPIRIT-H2H trial.

The updated recommendations now consider two IL-23p19 inhibitors, guselkumab (Tremfya) and risankizumab (Skyrizi), the JAK inhibitor upadacitinib (Rinvoq), and the very recently EMA-approved bimekizumab (Bimzelx), an IL-17A/F double inhibitor.

The recommendation for patients with mono- or oligoarthritis and poor prognostic factors now aligns with the previous recommendations for polyarthritis: A csDMARD should be initiated promptly, with a preference for methotrexate if significant skin involvement is present. New data suggest that methotrexate may be beneficial for enthesitis, achieving resolution in approximately 30% of patients. When considering treatment options, JAK inhibitors may also be taken into account, with safety considerations in mind.

In cases of clinically relevant axial disease and an inadequate response to NSAIDs, therapy with an IL-17A inhibitor, a TNF inhibitor, an IL-17A/F inhibitor, or a JAK inhibitor may be considered. This approach now aligns with the most recent axial spondyloarthritis recommendation from EULAR and the Assessment of SpondyloArthritis international Society (ASAS).
 

Which disease manifestation to treat first?

During the discussion, chairwoman Uta Kiltz, MD, PhD, a rheumatologist at Rheumatism Center Ruhrgebiet, Herne, Germany, and clinical lecturer at Ruhr University Bochum, inquired about identifying the primary manifestation to guide the course of action.

“Psoriatic arthritis is highly heterogeneous, and determining the predominant manifestation is sometimes challenging,” Dr. Gossec said. “However, we believe that a certain order of preference is necessary when making treatment decisions. Starting with peripheral arthritis, which can lead to structural damage, allows for treatment selection based on that aspect. If peripheral arthritis is not present, attention should be directed towards axial disease, ensuring the presence of actual inflammation rather than solely axial pain, as mechanical origin axial pain can occur due to the patient’s age.”

David Liew, MBBS, PhD, consultant rheumatologist and clinical pharmacologist at Austin Health in Melbourne, commented on the update to this news organization: “We are fortunate to have a wide range of targeted therapy options for psoriatic arthritis, and these guidelines reflect this abundance of choices. They emphasize the importance of selecting therapies based on specific disease manifestations and tailoring care to each patient’s unique type of psoriatic arthritis. It’s worth noting that some changes in these guidelines were influenced by regulatory changes following ORAL Surveillance. In an era of numerous options, we can afford to be selective at times.”

Regarding safety concerns and JAK inhibitors, Dr. Liew added: “It is not surprising to see these guidelines impose certain restrictions on the use of JAK inhibitors, especially in psoriatic arthritis, where other therapies offer distinct advantages. Until high-quality evidence convincingly points away from a class effect, we can expect to see similar provisions in many more guidelines.”

Many of the recommendations’ authors report financial relationships with one or more pharmaceutical companies. These include AbbVie, Amgen, Biogen, Bristol-Myers Squibb, Boehringer Ingelheim, Celgene, Celltrion, Chugai, Galapagos, Gilead, GlaxoSmithKline, Janssen, Leo, Lilly, Medac, Merck, Merck Sharp & Dohme, Novartis, Pfizer, R-Pharma, Regeneron, Roche, Sandoz, Sanofi, Takeda, UCB, and Viatris.

EULAR funded the development of the recommendations.

A version of this article originally appeared on Medscape.com.

 

AT EULAR 2023

– Safety considerations, particularly regarding the use of Janus kinase (JAK) inhibitors, are of utmost importance in the 2023 update to recommendations for managing psoriatic arthritis (PsA) by the European Alliance of Associations for Rheumatology (EULAR). Additionally, the selection of therapy should now take into account the complete clinical presentation, explicitly considering nonmusculoskeletal manifestations.

Dr. Laure Gossec
Presenting the updated recommendations, Laure Gossec, MD, PhD, professor of rheumatology at Pitié-Salpétriere Hospital and Sorbonne University, Paris, emphasized an increasingly manifestation-oriented approach, integrating a growing range of available drugs in a stepwise manner to optimize the balance between safety and efficacy and achieve the highest quality of care. These updates were developed over the past 8 months, guided by a comprehensive review of drug efficacy based on 38 publications covering 18 drugs, as well as a safety review encompassing 24 publications.
 

Safety considerations with JAK inhibitors

Expanding on the existing six overarching principles from the 2019 recommendations, the PsA EULAR recommendations now introduce a seventh principle: “The choice of treatment should consider safety considerations regarding individual modes of action to optimize the benefit-risk profile.”

This addition was prompted by recent safety data on JAK inhibitors, which revealed serious potential side effects, such as heart attacks, blood clots, cancer, and severe infections, that recently prompted the European Medicines Agency to restrict their use. As indicated by the new principle, safety considerations have been incorporated into several recommendations.

For instance, in the context of peripheral arthritis, JAK inhibitors may now be considered if there is an inadequate response to at least one conventional synthetic disease-modifying antirheumatic drug (csDMARD) such as methotrexate, sulfasalazine, or leflunomide, and at least one biologic DMARD (bDMARD).

Alternatively, JAK inhibitors may be utilized when bDMARDs are not suitable for other reasons. However, EULAR now emphasizes caution whenever JAK inhibitors are mentioned. Specifically, “careful consideration is necessary for patients aged 65 or above, current or past long-time smokers, individuals with a history of atherosclerotic cardiovascular disease or other cardiovascular risk factors, those with other malignancy risk factors, or individuals with a known risk for venous thromboembolism.”
 

Consider nonmusculoskeletal manifestations in treatment decisions

In another significant update, EULAR now recommends that the choice of therapy should also consider nonmusculoskeletal manifestations associated with PsA. “There is a notable shift in perspective here,” Dr. Gossec told this news organization. Clinically relevant skin involvement should prompt the use of IL-17A or IL-17A/F or IL-23 or IL-12/23 inhibitors, while uveitis should be treated with tumor necrosis factor (TNF) inhibitors.

In the case of inflammatory bowel disease, EULAR advises the use of anti-TNF agents, IL-12/23 or IL-23 inhibitors, or a JAK inhibitor. The recommended course of action within each treatment category is not ranked in order of preference, but EULAR emphasizes the importance of following EMA recommendations and considering safety.
 

Systemic glucocorticoids removed

Certain medications have been removed from the recommendations, reflecting the heightened focus on treatment safety. The use of systemic glucocorticoids as adjunctive therapy is no longer recommended. “We always had reservations about their use, and now we have eliminated them. We are aware that they are still utilized, with 30% of patients in Germany, for instance, receiving low doses of glucocorticoids. However, the long-term efficacy/safety balance of glucocorticoids is unfavorable in any disease, particularly in patients with psoriatic arthritis and multiple comorbidities,” Dr. Gossec explained.

 

 

NSAIDs and local glucocorticoids are now limited to specific patient populations, namely those affected by oligoarthritis without poor prognostic factors, entheseal disease, or predominant axial disease. Their use should be short-term, generally no longer than 4 weeks. Polyarthritis or oligoarthritis with poor prognostic factors should instead be treated directly with csDMARDs.
 

No specific biologic treatment order recommended for peripheral arthritis

Regarding patients with peripheral arthritis, recent efficacy data have led EULAR to refrain from recommending any specific order of preference for the use of bDMARDs, which encompass TNF inhibitors and drugs targeting the IL-17 and IL-12/23 pathways. “We lack the data to propose an order of preference in patients with peripheral arthritis. Different classes of molecules exhibit efficacy in joint inflammation, generally resulting in a 50% response rate and similar overall effects,” said Dr. Gossec, referencing head-to-head trials between biologics that yielded very comparable results, such as the EXCEED trial or SPIRIT-H2H trial.

The updated recommendations now consider two IL-23p19 inhibitors, guselkumab (Tremfya) and risankizumab (Skyrizi), the JAK inhibitor upadacitinib (Rinvoq), and the very recently EMA-approved bimekizumab (Bimzelx), an IL-17A/F double inhibitor.

The recommendation for patients with mono- or oligoarthritis and poor prognostic factors now aligns with the previous recommendations for polyarthritis: A csDMARD should be initiated promptly, with a preference for methotrexate if significant skin involvement is present. New data suggest that methotrexate may be beneficial for enthesitis, achieving resolution in approximately 30% of patients. When considering treatment options, JAK inhibitors may also be taken into account, with safety considerations in mind.

In cases of clinically relevant axial disease and an inadequate response to NSAIDs, therapy with an IL-17A inhibitor, a TNF inhibitor, an IL-17A/F inhibitor, or a JAK inhibitor may be considered. This approach now aligns with the most recent axial spondyloarthritis recommendation from EULAR and the Assessment of SpondyloArthritis international Society (ASAS).
 

Which disease manifestation to treat first?

During the discussion, chairwoman Uta Kiltz, MD, PhD, a rheumatologist at Rheumatism Center Ruhrgebiet, Herne, Germany, and clinical lecturer at Ruhr University Bochum, inquired about identifying the primary manifestation to guide the course of action.

“Psoriatic arthritis is highly heterogeneous, and determining the predominant manifestation is sometimes challenging,” Dr. Gossec said. “However, we believe that a certain order of preference is necessary when making treatment decisions. Starting with peripheral arthritis, which can lead to structural damage, allows for treatment selection based on that aspect. If peripheral arthritis is not present, attention should be directed towards axial disease, ensuring the presence of actual inflammation rather than solely axial pain, as mechanical origin axial pain can occur due to the patient’s age.”

David Liew, MBBS, PhD, consultant rheumatologist and clinical pharmacologist at Austin Health in Melbourne, commented on the update to this news organization: “We are fortunate to have a wide range of targeted therapy options for psoriatic arthritis, and these guidelines reflect this abundance of choices. They emphasize the importance of selecting therapies based on specific disease manifestations and tailoring care to each patient’s unique type of psoriatic arthritis. It’s worth noting that some changes in these guidelines were influenced by regulatory changes following ORAL Surveillance. In an era of numerous options, we can afford to be selective at times.”

Regarding safety concerns and JAK inhibitors, Dr. Liew added: “It is not surprising to see these guidelines impose certain restrictions on the use of JAK inhibitors, especially in psoriatic arthritis, where other therapies offer distinct advantages. Until high-quality evidence convincingly points away from a class effect, we can expect to see similar provisions in many more guidelines.”

Many of the recommendations’ authors report financial relationships with one or more pharmaceutical companies. These include AbbVie, Amgen, Biogen, Bristol-Myers Squibb, Boehringer Ingelheim, Celgene, Celltrion, Chugai, Galapagos, Gilead, GlaxoSmithKline, Janssen, Leo, Lilly, Medac, Merck, Merck Sharp & Dohme, Novartis, Pfizer, R-Pharma, Regeneron, Roche, Sandoz, Sanofi, Takeda, UCB, and Viatris.

EULAR funded the development of the recommendations.

A version of this article originally appeared on Medscape.com.

Publications
Publications
Topics
Article Type
Sections
Disallow All Ads
Content Gating
No Gating (article Unlocked/Free)
Alternative CME
Disqus Comments
Default
Use ProPublica
Hide sidebar & use full width
render the right sidebar.
Conference Recap Checkbox
Not Conference Recap
Clinical Edge
Display the Slideshow in this Article
Medscape Article
Display survey writer
Reuters content
Disable Inline Native ads
WebMD Article

Is ChatGPT a friend or foe of medical publishing?

Article Type
Changed
Wed, 06/14/2023 - 15:46

 

Researchers may use artificial intelligence (AI) language models such as ChatGPT to write and revise scientific manuscripts, according to a new announcement from the International Committee of Medical Journal Editors. These tools should not be listed as authors, and researchers must denote how AI-assisted technologies were used, the committee said.

These new guidelines are the latest effort for medical journals to define policies for using these large-scale language models (LLMs) in scientific publication. While these AI-assisted tools can help with tasks such as writing, analyzing data, catching mistakes, and much more, they are also prone to errors, noted Casey Greene, PhD, a professor of biomedical informatics at the University of Colorado at Denver, Aurora. It is also not totally clear how information is stored and processed in these kinds of tools, and who has access to that information, he noted.

At the same time, experts argue that these AI tools could have a positive impact on the field by limiting some of the linguistic disparities in scientific publishing as well as alleviating the burden of some monotonous or mechanical tasks that come along with manuscript writing.

What experts can agree on, though, is that the use of AI tools is here to stay. “This is going to become a common tool,” Dr. Greene said. “I don’t think there’s a way out of that at this point.”
 

A change in medical publishing

OpenAI released ChatGPT in November 2022. In its own words, ChatGPT is “a deep learning model that has been trained on a massive amount of text data to understand and generate humanlike text.” Enter a question or a prompt, and it will respond. For example, when asked how the AI tool can be used in scientific publishing, ChatGPT responded:

“ChatGPT can aid scientific publishing by generating ideas, clarifying concepts, conducting preliminary literature reviews, providing proofreading and editing suggestions, and assisting with outlining and organizing scientific papers. However, it should be used as a supportive tool alongside domain expertise and validation from trusted scientific sources.”

Just a few months after ChatGPT became available, researchers began using this tool in their own work. One individual, Som Biswas, MD, a radiologist at the University of Tennessee Health Science Center in Memphis, reportedly used ChatGPT to author 16 scientific articles in just 4 months, according to the Daily Beast. Five of these articles have been published in four different journals. Dr. Biswas declined to be interviewed for this article.

There were also reports of papers with ChatGPT as one of the listed authors, which sparked backlash. In response, JAMA, Nature, and Science all published editorials in January outlining their policies for using ChatGPT and other large language models in the scientific authoring process. Editors from the journals of the American College of Cardiology and the American College of Rheumatology also updated their policies to reflect the influence of AI authoring tools.

The consensus is that AI has no place on the author byline.

“We think that’s not appropriate, because coauthorship means that you are taking responsibility for the analysis and the generation of data that are included in a manuscript. A machine that is dictated by AI can’t take responsibility,” said Daniel Solomon, MD, MPH, a rheumatologist at Brigham and Women’s Hospital, Boston, and the editor in chief of the ACR journal Arthritis & Rheumatology.
 

 

 

Issues with AI

One of the big concerns around using AI in writing is that it can generate text that seems plausible but is untrue or not supported by data. For example, Dr. Greene and colleague Milton Pividori, PhD, also of the University of Colorado, were writing a journal article about new software they developed that uses a large language model to revise scientific manuscripts.

“We used the same software to revise that article and at one point, it added a line that noted that the large language model had been fine-tuned on a data set of manuscripts from within the same field. This makes a lot of sense, and is absolutely something you could do, but was not something that we did,” Dr. Greene said. “Without a really careful review of the content, it becomes possible to invent things that were not actually done.”

In another case, ChatGPT falsely stated that a prominent law professor had been accused of sexual assault, citing a Washington Post article that did not exist.

“We live in a society where we are extremely concerned about fake news,” Dr. Pividori added, “and [these kinds of errors] could certainly exacerbate that in the scientific community, which is very concerning because science informs public policy.”

Another issue is the lack of transparency around how large language models like ChatGPT process and store data used to make queries.

“We have no idea how they are recording all the prompts and things that we input into ChatGPT and their systems,” Dr. Pividori said.

OpenAI recently addressed some privacy concerns by allowing users to turn off their chat history with the AI chatbot, so conversations cannot be used to train or improve the company’s models. But Dr. Greene noted that the terms of service “still remain pretty nebulous.”

Dr. Solomon is also concerned with researchers using these AI tools in authoring without knowing how they work. “The thing we are really concerned about is that fact that [LLMs] are a bit of a black box – people don’t really understand the methodologies,” he said.
 

A positive tool?

But despite these concerns, many think that these types of AI-assisted tools could have a positive impact on medical publishing, particularly for researchers for whom English is not their first language, noted Catherine Gao, MD, a pulmonary and critical care instructor at Northwestern University, Chicago. She recently led research comparing scientific abstracts written by ChatGPT and real abstracts and discovered that reviewers found it “surprisingly difficult” to differentiate the two.

“The majority of research is published in English,” she said in an email. “Responsible use of LLMs can potentially reduce the burden of writing for busy scientists and improve equity for those who are not native English speakers.”

Dr. Pividori agreed, adding that as a non-native English speaker, he spends much more time working on the structure and grammar of sentences when authoring a manuscript, compared with people who speak English as a first language. He noted that these tools can also be used to automate some of the more monotonous tasks that come along with writing manuscripts and allow researchers to focus on the more creative aspects.

In the future, “I want to focus more on the things that only a human can do and let these tools do all the rest of it,” he said.
 

 

 

New rules

But despite how individual researchers feel about LLMs, they agree that these AI tools are here to stay.

“I think that we should anticipate that they will become part of the medical research establishment over time, when we figure out how to use them appropriately,” Dr. Solomon said.

While the debate of how to best use AI in medical publications will continue, journal editors agree that all authors of a manuscript are solely responsible for content in articles that used AI-assisted technology.

“Authors should carefully review and edit the result because AI can generate authoritative-sounding output that can be incorrect, incomplete, or biased,” the ICMJE guidelines state. “Authors should be able to assert that there is no plagiarism in their paper, including in text and images produced by the AI.” This includes appropriate attribution of all cited materials.

The committee also recommends that authors write in both the cover letter and submitted work how AI was used in the manuscript writing process. Recently updated guidelines from the World Association of Medical Editors recommend that all prompts used to generate new text or analytical work should be provided in submitted work. Dr. Greene also noted that if authors used an AI tool to revise their work, they can include a version of the manuscript untouched by LLMs.

It is similar to a preprint, he said, but rather than publishing a version of a paper prior to peer review, someone is showing a version of a manuscript before it was reviewed and revised by AI. “This type of practice could be a path that lets us benefit from these models,” he said, “without having the drawbacks that many are concerned about.”

Dr. Solomon has financial relationships with AbbVie, Amgen, Janssen, CorEvitas, and Moderna. Both Dr. Greene and Dr. Pividori are inventors in the U.S. Provisional Patent Application No. 63/486,706 that the University of Colorado has filed for the “Publishing Infrastructure For AI-Assisted Academic Authoring” invention with the U.S. Patent and Trademark Office. Dr. Greene and Dr. Pividori also received a grant from the Alfred P. Sloan Foundation to improve their AI-based manuscript revision tool. Dr. Gao reported no relevant financial relationships.

A version of this article originally appeared on Medscape.com.

Publications
Topics
Sections

 

Researchers may use artificial intelligence (AI) language models such as ChatGPT to write and revise scientific manuscripts, according to a new announcement from the International Committee of Medical Journal Editors. These tools should not be listed as authors, and researchers must denote how AI-assisted technologies were used, the committee said.

These new guidelines are the latest effort for medical journals to define policies for using these large-scale language models (LLMs) in scientific publication. While these AI-assisted tools can help with tasks such as writing, analyzing data, catching mistakes, and much more, they are also prone to errors, noted Casey Greene, PhD, a professor of biomedical informatics at the University of Colorado at Denver, Aurora. It is also not totally clear how information is stored and processed in these kinds of tools, and who has access to that information, he noted.

At the same time, experts argue that these AI tools could have a positive impact on the field by limiting some of the linguistic disparities in scientific publishing as well as alleviating the burden of some monotonous or mechanical tasks that come along with manuscript writing.

What experts can agree on, though, is that the use of AI tools is here to stay. “This is going to become a common tool,” Dr. Greene said. “I don’t think there’s a way out of that at this point.”
 

A change in medical publishing

OpenAI released ChatGPT in November 2022. In its own words, ChatGPT is “a deep learning model that has been trained on a massive amount of text data to understand and generate humanlike text.” Enter a question or a prompt, and it will respond. For example, when asked how the AI tool can be used in scientific publishing, ChatGPT responded:

“ChatGPT can aid scientific publishing by generating ideas, clarifying concepts, conducting preliminary literature reviews, providing proofreading and editing suggestions, and assisting with outlining and organizing scientific papers. However, it should be used as a supportive tool alongside domain expertise and validation from trusted scientific sources.”

Just a few months after ChatGPT became available, researchers began using this tool in their own work. One individual, Som Biswas, MD, a radiologist at the University of Tennessee Health Science Center in Memphis, reportedly used ChatGPT to author 16 scientific articles in just 4 months, according to the Daily Beast. Five of these articles have been published in four different journals. Dr. Biswas declined to be interviewed for this article.

There were also reports of papers with ChatGPT as one of the listed authors, which sparked backlash. In response, JAMA, Nature, and Science all published editorials in January outlining their policies for using ChatGPT and other large language models in the scientific authoring process. Editors from the journals of the American College of Cardiology and the American College of Rheumatology also updated their policies to reflect the influence of AI authoring tools.

The consensus is that AI has no place on the author byline.

“We think that’s not appropriate, because coauthorship means that you are taking responsibility for the analysis and the generation of data that are included in a manuscript. A machine that is dictated by AI can’t take responsibility,” said Daniel Solomon, MD, MPH, a rheumatologist at Brigham and Women’s Hospital, Boston, and the editor in chief of the ACR journal Arthritis & Rheumatology.
 

 

 

Issues with AI

One of the big concerns around using AI in writing is that it can generate text that seems plausible but is untrue or not supported by data. For example, Dr. Greene and colleague Milton Pividori, PhD, also of the University of Colorado, were writing a journal article about new software they developed that uses a large language model to revise scientific manuscripts.

“We used the same software to revise that article and at one point, it added a line that noted that the large language model had been fine-tuned on a data set of manuscripts from within the same field. This makes a lot of sense, and is absolutely something you could do, but was not something that we did,” Dr. Greene said. “Without a really careful review of the content, it becomes possible to invent things that were not actually done.”

In another case, ChatGPT falsely stated that a prominent law professor had been accused of sexual assault, citing a Washington Post article that did not exist.

“We live in a society where we are extremely concerned about fake news,” Dr. Pividori added, “and [these kinds of errors] could certainly exacerbate that in the scientific community, which is very concerning because science informs public policy.”

Another issue is the lack of transparency around how large language models like ChatGPT process and store data used to make queries.

“We have no idea how they are recording all the prompts and things that we input into ChatGPT and their systems,” Dr. Pividori said.

OpenAI recently addressed some privacy concerns by allowing users to turn off their chat history with the AI chatbot, so conversations cannot be used to train or improve the company’s models. But Dr. Greene noted that the terms of service “still remain pretty nebulous.”

Dr. Solomon is also concerned with researchers using these AI tools in authoring without knowing how they work. “The thing we are really concerned about is that fact that [LLMs] are a bit of a black box – people don’t really understand the methodologies,” he said.
 

A positive tool?

But despite these concerns, many think that these types of AI-assisted tools could have a positive impact on medical publishing, particularly for researchers for whom English is not their first language, noted Catherine Gao, MD, a pulmonary and critical care instructor at Northwestern University, Chicago. She recently led research comparing scientific abstracts written by ChatGPT and real abstracts and discovered that reviewers found it “surprisingly difficult” to differentiate the two.

“The majority of research is published in English,” she said in an email. “Responsible use of LLMs can potentially reduce the burden of writing for busy scientists and improve equity for those who are not native English speakers.”

Dr. Pividori agreed, adding that as a non-native English speaker, he spends much more time working on the structure and grammar of sentences when authoring a manuscript, compared with people who speak English as a first language. He noted that these tools can also be used to automate some of the more monotonous tasks that come along with writing manuscripts and allow researchers to focus on the more creative aspects.

In the future, “I want to focus more on the things that only a human can do and let these tools do all the rest of it,” he said.
 

 

 

New rules

But despite how individual researchers feel about LLMs, they agree that these AI tools are here to stay.

“I think that we should anticipate that they will become part of the medical research establishment over time, when we figure out how to use them appropriately,” Dr. Solomon said.

While the debate of how to best use AI in medical publications will continue, journal editors agree that all authors of a manuscript are solely responsible for content in articles that used AI-assisted technology.

“Authors should carefully review and edit the result because AI can generate authoritative-sounding output that can be incorrect, incomplete, or biased,” the ICMJE guidelines state. “Authors should be able to assert that there is no plagiarism in their paper, including in text and images produced by the AI.” This includes appropriate attribution of all cited materials.

The committee also recommends that authors write in both the cover letter and submitted work how AI was used in the manuscript writing process. Recently updated guidelines from the World Association of Medical Editors recommend that all prompts used to generate new text or analytical work should be provided in submitted work. Dr. Greene also noted that if authors used an AI tool to revise their work, they can include a version of the manuscript untouched by LLMs.

It is similar to a preprint, he said, but rather than publishing a version of a paper prior to peer review, someone is showing a version of a manuscript before it was reviewed and revised by AI. “This type of practice could be a path that lets us benefit from these models,” he said, “without having the drawbacks that many are concerned about.”

Dr. Solomon has financial relationships with AbbVie, Amgen, Janssen, CorEvitas, and Moderna. Both Dr. Greene and Dr. Pividori are inventors in the U.S. Provisional Patent Application No. 63/486,706 that the University of Colorado has filed for the “Publishing Infrastructure For AI-Assisted Academic Authoring” invention with the U.S. Patent and Trademark Office. Dr. Greene and Dr. Pividori also received a grant from the Alfred P. Sloan Foundation to improve their AI-based manuscript revision tool. Dr. Gao reported no relevant financial relationships.

A version of this article originally appeared on Medscape.com.

 

Researchers may use artificial intelligence (AI) language models such as ChatGPT to write and revise scientific manuscripts, according to a new announcement from the International Committee of Medical Journal Editors. These tools should not be listed as authors, and researchers must denote how AI-assisted technologies were used, the committee said.

These new guidelines are the latest effort for medical journals to define policies for using these large-scale language models (LLMs) in scientific publication. While these AI-assisted tools can help with tasks such as writing, analyzing data, catching mistakes, and much more, they are also prone to errors, noted Casey Greene, PhD, a professor of biomedical informatics at the University of Colorado at Denver, Aurora. It is also not totally clear how information is stored and processed in these kinds of tools, and who has access to that information, he noted.

At the same time, experts argue that these AI tools could have a positive impact on the field by limiting some of the linguistic disparities in scientific publishing as well as alleviating the burden of some monotonous or mechanical tasks that come along with manuscript writing.

What experts can agree on, though, is that the use of AI tools is here to stay. “This is going to become a common tool,” Dr. Greene said. “I don’t think there’s a way out of that at this point.”
 

A change in medical publishing

OpenAI released ChatGPT in November 2022. In its own words, ChatGPT is “a deep learning model that has been trained on a massive amount of text data to understand and generate humanlike text.” Enter a question or a prompt, and it will respond. For example, when asked how the AI tool can be used in scientific publishing, ChatGPT responded:

“ChatGPT can aid scientific publishing by generating ideas, clarifying concepts, conducting preliminary literature reviews, providing proofreading and editing suggestions, and assisting with outlining and organizing scientific papers. However, it should be used as a supportive tool alongside domain expertise and validation from trusted scientific sources.”

Just a few months after ChatGPT became available, researchers began using this tool in their own work. One individual, Som Biswas, MD, a radiologist at the University of Tennessee Health Science Center in Memphis, reportedly used ChatGPT to author 16 scientific articles in just 4 months, according to the Daily Beast. Five of these articles have been published in four different journals. Dr. Biswas declined to be interviewed for this article.

There were also reports of papers with ChatGPT as one of the listed authors, which sparked backlash. In response, JAMA, Nature, and Science all published editorials in January outlining their policies for using ChatGPT and other large language models in the scientific authoring process. Editors from the journals of the American College of Cardiology and the American College of Rheumatology also updated their policies to reflect the influence of AI authoring tools.

The consensus is that AI has no place on the author byline.

“We think that’s not appropriate, because coauthorship means that you are taking responsibility for the analysis and the generation of data that are included in a manuscript. A machine that is dictated by AI can’t take responsibility,” said Daniel Solomon, MD, MPH, a rheumatologist at Brigham and Women’s Hospital, Boston, and the editor in chief of the ACR journal Arthritis & Rheumatology.
 

 

 

Issues with AI

One of the big concerns around using AI in writing is that it can generate text that seems plausible but is untrue or not supported by data. For example, Dr. Greene and colleague Milton Pividori, PhD, also of the University of Colorado, were writing a journal article about new software they developed that uses a large language model to revise scientific manuscripts.

“We used the same software to revise that article and at one point, it added a line that noted that the large language model had been fine-tuned on a data set of manuscripts from within the same field. This makes a lot of sense, and is absolutely something you could do, but was not something that we did,” Dr. Greene said. “Without a really careful review of the content, it becomes possible to invent things that were not actually done.”

In another case, ChatGPT falsely stated that a prominent law professor had been accused of sexual assault, citing a Washington Post article that did not exist.

“We live in a society where we are extremely concerned about fake news,” Dr. Pividori added, “and [these kinds of errors] could certainly exacerbate that in the scientific community, which is very concerning because science informs public policy.”

Another issue is the lack of transparency around how large language models like ChatGPT process and store data used to make queries.

“We have no idea how they are recording all the prompts and things that we input into ChatGPT and their systems,” Dr. Pividori said.

OpenAI recently addressed some privacy concerns by allowing users to turn off their chat history with the AI chatbot, so conversations cannot be used to train or improve the company’s models. But Dr. Greene noted that the terms of service “still remain pretty nebulous.”

Dr. Solomon is also concerned with researchers using these AI tools in authoring without knowing how they work. “The thing we are really concerned about is that fact that [LLMs] are a bit of a black box – people don’t really understand the methodologies,” he said.
 

A positive tool?

But despite these concerns, many think that these types of AI-assisted tools could have a positive impact on medical publishing, particularly for researchers for whom English is not their first language, noted Catherine Gao, MD, a pulmonary and critical care instructor at Northwestern University, Chicago. She recently led research comparing scientific abstracts written by ChatGPT and real abstracts and discovered that reviewers found it “surprisingly difficult” to differentiate the two.

“The majority of research is published in English,” she said in an email. “Responsible use of LLMs can potentially reduce the burden of writing for busy scientists and improve equity for those who are not native English speakers.”

Dr. Pividori agreed, adding that as a non-native English speaker, he spends much more time working on the structure and grammar of sentences when authoring a manuscript, compared with people who speak English as a first language. He noted that these tools can also be used to automate some of the more monotonous tasks that come along with writing manuscripts and allow researchers to focus on the more creative aspects.

In the future, “I want to focus more on the things that only a human can do and let these tools do all the rest of it,” he said.
 

 

 

New rules

But despite how individual researchers feel about LLMs, they agree that these AI tools are here to stay.

“I think that we should anticipate that they will become part of the medical research establishment over time, when we figure out how to use them appropriately,” Dr. Solomon said.

While the debate of how to best use AI in medical publications will continue, journal editors agree that all authors of a manuscript are solely responsible for content in articles that used AI-assisted technology.

“Authors should carefully review and edit the result because AI can generate authoritative-sounding output that can be incorrect, incomplete, or biased,” the ICMJE guidelines state. “Authors should be able to assert that there is no plagiarism in their paper, including in text and images produced by the AI.” This includes appropriate attribution of all cited materials.

The committee also recommends that authors write in both the cover letter and submitted work how AI was used in the manuscript writing process. Recently updated guidelines from the World Association of Medical Editors recommend that all prompts used to generate new text or analytical work should be provided in submitted work. Dr. Greene also noted that if authors used an AI tool to revise their work, they can include a version of the manuscript untouched by LLMs.

It is similar to a preprint, he said, but rather than publishing a version of a paper prior to peer review, someone is showing a version of a manuscript before it was reviewed and revised by AI. “This type of practice could be a path that lets us benefit from these models,” he said, “without having the drawbacks that many are concerned about.”

Dr. Solomon has financial relationships with AbbVie, Amgen, Janssen, CorEvitas, and Moderna. Both Dr. Greene and Dr. Pividori are inventors in the U.S. Provisional Patent Application No. 63/486,706 that the University of Colorado has filed for the “Publishing Infrastructure For AI-Assisted Academic Authoring” invention with the U.S. Patent and Trademark Office. Dr. Greene and Dr. Pividori also received a grant from the Alfred P. Sloan Foundation to improve their AI-based manuscript revision tool. Dr. Gao reported no relevant financial relationships.

A version of this article originally appeared on Medscape.com.

Publications
Publications
Topics
Article Type
Sections
Disallow All Ads
Content Gating
No Gating (article Unlocked/Free)
Alternative CME
Disqus Comments
Default
Use ProPublica
Hide sidebar & use full width
render the right sidebar.
Conference Recap Checkbox
Not Conference Recap
Clinical Edge
Display the Slideshow in this Article
Medscape Article
Display survey writer
Reuters content
Disable Inline Native ads
WebMD Article

Muscle fat: A new risk factor for cognitive decline?

Article Type
Changed
Wed, 06/14/2023 - 09:39

 

Muscle adiposity may be a novel risk factor for cognitive decline in older adults, new research suggests.

Investigators assessed muscle fat in more than 1,600 adults in their 70s and evaluated their cognitive function over a 10-year period. They found that increases in muscle adiposity from year 1 to year 6 were associated with greater cognitive decline over time, independent of total weight, other fat deposits, muscle characteristics, and traditional dementia risk factors.

The findings were similar between Black and White people and between men and women.

“Increasing adiposity – or fat deposition – in skeletal muscles predicted faster cognitive decline, irrespective of demographics or other disease, and this effect was distinct from that of other types of fat or other muscle characteristics, such as strength or mass,” study investigator Caterina Rosano MD, MPH, professor of epidemiology at the University of Pittsburgh, said in an interview.

The study was published in the Journal of the American Geriatrics Society.
 

Biologically plausible

“There has been a growing recognition that overall adiposity and muscle measures, such as strength and mass, are individual indicators of future dementia risk and both strengthen the algorithms to predict cognitive decline,” said Dr. Rosano, associate director for clinical translation at the University of Pittsburgh’s Aging Institute. “However, adiposity in the muscle has not been examined.”

Some evidence supports a “biologically plausible link” between muscle adiposity and dementia risk. For example, muscle adiposity increases the risk for type 2 diabetes and hypertension, both of which are dementia risk factors.

Skeletal muscle adiposity increases with older age, even in older adults who lose weight, and is “highly prevalent” among older adults of African ancestry.

The researchers examined a large, biracial sample of older adults participating in the Health, Aging and Body Composition study, which enrolled men and women aged between 70 and 79 years. Participants were followed for an average of 9.0 ± 1.8 years.

During years 1 and 6, participants’ body composition was analyzed, including intermuscular adipose tissue (IMAT), visceral and subcutaneous adiposity, total fat mass, and muscle area.

In years 1, 3, 5, 8, and 10, participants’ cognition was measured using the modified Mini-Mental State (3MS) exam.

The main independent variable was 5-year change in thigh IMAT (year 6 minus year 1), and the main dependent variable was 3MS decline (from year 5 to year 10).

The researchers adjusted all the models for traditional dementia risk factors at baseline including 3MS, education, apo E4 allele, diabetes, hypertension, and physical activity and also calculated interactions between IMAT change by race or sex.

These models also accounted for change in muscle strength, muscle area, body weight, abdominal subcutaneous and visceral adiposity, and total body fat mass as well as cytokines related to adiposity.
 

‘Rich and engaging crosstalk’

The final sample included 1634 participants (mean age, 73.38 years at baseline; 48% female; 35% Black; mean baseline 3MS score, 91.6).

Thigh IMAT increased by 39.0% in all participants from year 1 to year 6, which corresponded to an increase of 4.85 cm2 or 0.97 cm2/year. During the same time period, muscle strength decreased by 14.0% (P < .05), although thigh muscle area remained stable, decreasing less than 0.5%.

There were decreases in both abdominal subcutaneous and visceral adiposity of 3.92% and 6.43%, respectively (P < .05). There was a decrease of 3.3% in 3MS from year 5 to year 10.

Several variables were associated with 3MS decline, independent of any change in thigh IMAT: older age, less education, and having at least one copy of the APOe4 allele. These variables were included in the model of IMAT change predicting 3MS change.

A statistically significant association of IMAT increase with 3MS decline was found. The IMAT increase of 4.85 cm2 corresponded to a 3MS decline of an additional 3.6 points (P < .0001) from year 5 to year 10, “indicating a clinically important change.”

The association between increasing thigh IMAT with declining 3MS “remained statistically significant” after adjusting for race, age, education, and apo E4 (P < .0001) and was independent of changes in thigh muscle area, muscle strength, and other adiposity measures.

In participants with increased IMAT in years 1-6, the mean 3MS score fell to approximately 87 points at year 10, compared with those without increased IMAT, with a 3MS score that dropped to approximately 89 points.

Interactions by race and sex were not statistically significant (P > .08).

“Our results suggest that adiposity in muscles can predict cognitive decline, in addition to (not instead of) other traditional dementia risk factors,” said Dr. Rosano.

There is “a rich and engaging crosstalk between muscle, adipose tissue, and the brain all throughout our lives, happening through factors released in the bloodstream that can reach the brain, however, the specific identity of the factors responsible for the crosstalk of muscle adiposity and brain in older adults has not yet been discovered,” she noted.

Although muscle adiposity is “not yet routinely measured in clinical settings, it is being measured opportunistically on clinical CT scans obtained as part of routine patient care,” she added. “These CT measurements have already been validated in many studies of older adults; thus, clinicians could have access to this novel information without additional cost, time, or radiation exposure.”
 

Causality not proven

In a comment, Bruce Albala, PhD, professor, department of environmental and occupational health, University of California, Irvine, noted that the 3MS assessment is scored on a 100-point scale, with a score less than 78 “generally regarded as indicating cognitive impairment or approaching a dementia condition.” In the current study, the mean 3MS score of participants with increased IMAT was still “well above the dementia cut-off.”

Moreover, “even if there is a relationship or correlation between IMAT and cognition, this does not prove or even suggest causality, especially from a biological mechanistic approach,” said Dr. Albaba, an adjunct professor of neurology, who was not involved in the study. “Clearly, more research is needed even to understand the relationship between these two factors.”

The study was supported by the National Institute on Aging. Dr. Rosano and coauthors and Dr. Albala declared no relevant financial relationships.

A version of this article originally appeared on Medscape.com.

Publications
Topics
Sections

 

Muscle adiposity may be a novel risk factor for cognitive decline in older adults, new research suggests.

Investigators assessed muscle fat in more than 1,600 adults in their 70s and evaluated their cognitive function over a 10-year period. They found that increases in muscle adiposity from year 1 to year 6 were associated with greater cognitive decline over time, independent of total weight, other fat deposits, muscle characteristics, and traditional dementia risk factors.

The findings were similar between Black and White people and between men and women.

“Increasing adiposity – or fat deposition – in skeletal muscles predicted faster cognitive decline, irrespective of demographics or other disease, and this effect was distinct from that of other types of fat or other muscle characteristics, such as strength or mass,” study investigator Caterina Rosano MD, MPH, professor of epidemiology at the University of Pittsburgh, said in an interview.

The study was published in the Journal of the American Geriatrics Society.
 

Biologically plausible

“There has been a growing recognition that overall adiposity and muscle measures, such as strength and mass, are individual indicators of future dementia risk and both strengthen the algorithms to predict cognitive decline,” said Dr. Rosano, associate director for clinical translation at the University of Pittsburgh’s Aging Institute. “However, adiposity in the muscle has not been examined.”

Some evidence supports a “biologically plausible link” between muscle adiposity and dementia risk. For example, muscle adiposity increases the risk for type 2 diabetes and hypertension, both of which are dementia risk factors.

Skeletal muscle adiposity increases with older age, even in older adults who lose weight, and is “highly prevalent” among older adults of African ancestry.

The researchers examined a large, biracial sample of older adults participating in the Health, Aging and Body Composition study, which enrolled men and women aged between 70 and 79 years. Participants were followed for an average of 9.0 ± 1.8 years.

During years 1 and 6, participants’ body composition was analyzed, including intermuscular adipose tissue (IMAT), visceral and subcutaneous adiposity, total fat mass, and muscle area.

In years 1, 3, 5, 8, and 10, participants’ cognition was measured using the modified Mini-Mental State (3MS) exam.

The main independent variable was 5-year change in thigh IMAT (year 6 minus year 1), and the main dependent variable was 3MS decline (from year 5 to year 10).

The researchers adjusted all the models for traditional dementia risk factors at baseline including 3MS, education, apo E4 allele, diabetes, hypertension, and physical activity and also calculated interactions between IMAT change by race or sex.

These models also accounted for change in muscle strength, muscle area, body weight, abdominal subcutaneous and visceral adiposity, and total body fat mass as well as cytokines related to adiposity.
 

‘Rich and engaging crosstalk’

The final sample included 1634 participants (mean age, 73.38 years at baseline; 48% female; 35% Black; mean baseline 3MS score, 91.6).

Thigh IMAT increased by 39.0% in all participants from year 1 to year 6, which corresponded to an increase of 4.85 cm2 or 0.97 cm2/year. During the same time period, muscle strength decreased by 14.0% (P < .05), although thigh muscle area remained stable, decreasing less than 0.5%.

There were decreases in both abdominal subcutaneous and visceral adiposity of 3.92% and 6.43%, respectively (P < .05). There was a decrease of 3.3% in 3MS from year 5 to year 10.

Several variables were associated with 3MS decline, independent of any change in thigh IMAT: older age, less education, and having at least one copy of the APOe4 allele. These variables were included in the model of IMAT change predicting 3MS change.

A statistically significant association of IMAT increase with 3MS decline was found. The IMAT increase of 4.85 cm2 corresponded to a 3MS decline of an additional 3.6 points (P < .0001) from year 5 to year 10, “indicating a clinically important change.”

The association between increasing thigh IMAT with declining 3MS “remained statistically significant” after adjusting for race, age, education, and apo E4 (P < .0001) and was independent of changes in thigh muscle area, muscle strength, and other adiposity measures.

In participants with increased IMAT in years 1-6, the mean 3MS score fell to approximately 87 points at year 10, compared with those without increased IMAT, with a 3MS score that dropped to approximately 89 points.

Interactions by race and sex were not statistically significant (P > .08).

“Our results suggest that adiposity in muscles can predict cognitive decline, in addition to (not instead of) other traditional dementia risk factors,” said Dr. Rosano.

There is “a rich and engaging crosstalk between muscle, adipose tissue, and the brain all throughout our lives, happening through factors released in the bloodstream that can reach the brain, however, the specific identity of the factors responsible for the crosstalk of muscle adiposity and brain in older adults has not yet been discovered,” she noted.

Although muscle adiposity is “not yet routinely measured in clinical settings, it is being measured opportunistically on clinical CT scans obtained as part of routine patient care,” she added. “These CT measurements have already been validated in many studies of older adults; thus, clinicians could have access to this novel information without additional cost, time, or radiation exposure.”
 

Causality not proven

In a comment, Bruce Albala, PhD, professor, department of environmental and occupational health, University of California, Irvine, noted that the 3MS assessment is scored on a 100-point scale, with a score less than 78 “generally regarded as indicating cognitive impairment or approaching a dementia condition.” In the current study, the mean 3MS score of participants with increased IMAT was still “well above the dementia cut-off.”

Moreover, “even if there is a relationship or correlation between IMAT and cognition, this does not prove or even suggest causality, especially from a biological mechanistic approach,” said Dr. Albaba, an adjunct professor of neurology, who was not involved in the study. “Clearly, more research is needed even to understand the relationship between these two factors.”

The study was supported by the National Institute on Aging. Dr. Rosano and coauthors and Dr. Albala declared no relevant financial relationships.

A version of this article originally appeared on Medscape.com.

 

Muscle adiposity may be a novel risk factor for cognitive decline in older adults, new research suggests.

Investigators assessed muscle fat in more than 1,600 adults in their 70s and evaluated their cognitive function over a 10-year period. They found that increases in muscle adiposity from year 1 to year 6 were associated with greater cognitive decline over time, independent of total weight, other fat deposits, muscle characteristics, and traditional dementia risk factors.

The findings were similar between Black and White people and between men and women.

“Increasing adiposity – or fat deposition – in skeletal muscles predicted faster cognitive decline, irrespective of demographics or other disease, and this effect was distinct from that of other types of fat or other muscle characteristics, such as strength or mass,” study investigator Caterina Rosano MD, MPH, professor of epidemiology at the University of Pittsburgh, said in an interview.

The study was published in the Journal of the American Geriatrics Society.
 

Biologically plausible

“There has been a growing recognition that overall adiposity and muscle measures, such as strength and mass, are individual indicators of future dementia risk and both strengthen the algorithms to predict cognitive decline,” said Dr. Rosano, associate director for clinical translation at the University of Pittsburgh’s Aging Institute. “However, adiposity in the muscle has not been examined.”

Some evidence supports a “biologically plausible link” between muscle adiposity and dementia risk. For example, muscle adiposity increases the risk for type 2 diabetes and hypertension, both of which are dementia risk factors.

Skeletal muscle adiposity increases with older age, even in older adults who lose weight, and is “highly prevalent” among older adults of African ancestry.

The researchers examined a large, biracial sample of older adults participating in the Health, Aging and Body Composition study, which enrolled men and women aged between 70 and 79 years. Participants were followed for an average of 9.0 ± 1.8 years.

During years 1 and 6, participants’ body composition was analyzed, including intermuscular adipose tissue (IMAT), visceral and subcutaneous adiposity, total fat mass, and muscle area.

In years 1, 3, 5, 8, and 10, participants’ cognition was measured using the modified Mini-Mental State (3MS) exam.

The main independent variable was 5-year change in thigh IMAT (year 6 minus year 1), and the main dependent variable was 3MS decline (from year 5 to year 10).

The researchers adjusted all the models for traditional dementia risk factors at baseline including 3MS, education, apo E4 allele, diabetes, hypertension, and physical activity and also calculated interactions between IMAT change by race or sex.

These models also accounted for change in muscle strength, muscle area, body weight, abdominal subcutaneous and visceral adiposity, and total body fat mass as well as cytokines related to adiposity.
 

‘Rich and engaging crosstalk’

The final sample included 1634 participants (mean age, 73.38 years at baseline; 48% female; 35% Black; mean baseline 3MS score, 91.6).

Thigh IMAT increased by 39.0% in all participants from year 1 to year 6, which corresponded to an increase of 4.85 cm2 or 0.97 cm2/year. During the same time period, muscle strength decreased by 14.0% (P < .05), although thigh muscle area remained stable, decreasing less than 0.5%.

There were decreases in both abdominal subcutaneous and visceral adiposity of 3.92% and 6.43%, respectively (P < .05). There was a decrease of 3.3% in 3MS from year 5 to year 10.

Several variables were associated with 3MS decline, independent of any change in thigh IMAT: older age, less education, and having at least one copy of the APOe4 allele. These variables were included in the model of IMAT change predicting 3MS change.

A statistically significant association of IMAT increase with 3MS decline was found. The IMAT increase of 4.85 cm2 corresponded to a 3MS decline of an additional 3.6 points (P < .0001) from year 5 to year 10, “indicating a clinically important change.”

The association between increasing thigh IMAT with declining 3MS “remained statistically significant” after adjusting for race, age, education, and apo E4 (P < .0001) and was independent of changes in thigh muscle area, muscle strength, and other adiposity measures.

In participants with increased IMAT in years 1-6, the mean 3MS score fell to approximately 87 points at year 10, compared with those without increased IMAT, with a 3MS score that dropped to approximately 89 points.

Interactions by race and sex were not statistically significant (P > .08).

“Our results suggest that adiposity in muscles can predict cognitive decline, in addition to (not instead of) other traditional dementia risk factors,” said Dr. Rosano.

There is “a rich and engaging crosstalk between muscle, adipose tissue, and the brain all throughout our lives, happening through factors released in the bloodstream that can reach the brain, however, the specific identity of the factors responsible for the crosstalk of muscle adiposity and brain in older adults has not yet been discovered,” she noted.

Although muscle adiposity is “not yet routinely measured in clinical settings, it is being measured opportunistically on clinical CT scans obtained as part of routine patient care,” she added. “These CT measurements have already been validated in many studies of older adults; thus, clinicians could have access to this novel information without additional cost, time, or radiation exposure.”
 

Causality not proven

In a comment, Bruce Albala, PhD, professor, department of environmental and occupational health, University of California, Irvine, noted that the 3MS assessment is scored on a 100-point scale, with a score less than 78 “generally regarded as indicating cognitive impairment or approaching a dementia condition.” In the current study, the mean 3MS score of participants with increased IMAT was still “well above the dementia cut-off.”

Moreover, “even if there is a relationship or correlation between IMAT and cognition, this does not prove or even suggest causality, especially from a biological mechanistic approach,” said Dr. Albaba, an adjunct professor of neurology, who was not involved in the study. “Clearly, more research is needed even to understand the relationship between these two factors.”

The study was supported by the National Institute on Aging. Dr. Rosano and coauthors and Dr. Albala declared no relevant financial relationships.

A version of this article originally appeared on Medscape.com.

Publications
Publications
Topics
Article Type
Sections
Article Source

FROM THE JOURNAL OF THE AMERICAN GERIATRICS SOCIETY

Disallow All Ads
Content Gating
No Gating (article Unlocked/Free)
Alternative CME
Disqus Comments
Default
Use ProPublica
Hide sidebar & use full width
render the right sidebar.
Conference Recap Checkbox
Not Conference Recap
Clinical Edge
Display the Slideshow in this Article
Medscape Article
Display survey writer
Reuters content
Disable Inline Native ads
WebMD Article

Long COVID risk not higher with rheumatic diseases

Article Type
Changed
Fri, 06/09/2023 - 09:53

Rheumatic disease is not considered a significant risk factor for long COVID, according to the findings of a Dutch prospective cohort study presented at the annual European Congress of Rheumatology.

Although more patients with inflammatory rheumatic diseases (iRD) report symptoms resembling long COVID, the data suggest that many of these symptoms can be attributed to the underlying rheumatic disease. “Overall, we find the data quite reassuring,” said Laura Boekel, Amsterdam Rheumatology and Immunology Center, Amsterdam University Medical Center.

The results were also published in The Lancet Rheumatology.

The risk of developing long COVID after infection with the Omicron variant appeared to be higher in patients with iRD, with 21% meeting the criteria set by the World Health Organization, compared with 13% of healthy individuals (odds ratio, 1.58; P = .037). Fatigue and loss of fitness were the most common long COVID symptoms reported by both iRD patients and controls. However, the difference in risk decreased after accounting for factors that are significantly associated with an increased risk for long COVID, such as body mass index and the severity of the acute COVID-19 infection (adjusted OR, 1.46; P = .081). The duration of symptoms did not show a statistically significant difference.

Kim Lauper, MD, University of Geneva, who chaired the session in which Ms. Boekel reported the study, said in an interview that the data should be interpreted with caution. “The data demonstrate that rheumatic disease itself is not a risk factor for long COVID. However, patients with rheumatic diseases are at a higher risk of severe disease, which in turn increases the likelihood of long COVID. Therefore, as a population, these patients are more susceptible to long COVID overall.”

Moreover, irrespective of their previous COVID-19 infection status, iRD patients often exhibit symptoms similar to those of long COVID even without a prior COVID-19 infection. (There was no history of COVID-19 in 21% of iRD patients vs. 11% of controls.) This suggests that some of the reported long COVID symptoms may actually be clinical manifestations of the underlying rheumatic disease, thereby complicating the diagnosis of long COVID in this population. The study employed the WHO definition of long COVID, which includes persistent symptoms lasting at least 8 weeks, beginning within 3 months of a confirmed SARS-CoV-2 infection, and that cannot be attributed to an alternative diagnosis. However, the data presented in Milan indicate that the WHO definition “is not well suited for patients with iRD due to significant overlap in symptoms and features,” Ms. Boekel concluded.

The cases of Omicron COVID-19 were identified during Jan. 1–April 25, 2022, among iRD patients recruited from the Amsterdam Rheumatology and Immunology Center. The population with confirmed SARS-CoV-2 Omicron infection during this period was monitored for long COVID. The total number of patients included in the study consisted of 77 iRD patients and 23 healthy controls. When asked about the potential risk of selection bias in the survey, Ms. Boekel stated that only approximately 8% of participants declined to respond, and the nonresponders were comparable with the respondents. She concluded that “the risk of selection bias is minimal.”

In an editorial published in The Lancet Rheumatology, Leonard H. Calabrese, DO, Cleveland Clinic, provided his insights on the findings. He emphasized that, “at present, long COVID remains an important reality that significantly impacts the lives of millions of individuals, yet it remains incompletely defined. ... These limitations in defining cases should not in any way undermine the experiences of those suffering from long COVID. Instead, they should serve as a reminder that, at this stage of the pandemic, we unfortunately still lack validated classification criteria for long COVID. It is crucial to include non–SARS-CoV-2–infected controls in all studies to further enhance our understanding.”

Ms. Boekel and coauthors, as well as Dr. Lauper and Dr. Calabrese, reported no relevant financial relationships.

A version of this article originally appeared on Medscape.com.

Meeting/Event
Publications
Topics
Sections
Meeting/Event
Meeting/Event

Rheumatic disease is not considered a significant risk factor for long COVID, according to the findings of a Dutch prospective cohort study presented at the annual European Congress of Rheumatology.

Although more patients with inflammatory rheumatic diseases (iRD) report symptoms resembling long COVID, the data suggest that many of these symptoms can be attributed to the underlying rheumatic disease. “Overall, we find the data quite reassuring,” said Laura Boekel, Amsterdam Rheumatology and Immunology Center, Amsterdam University Medical Center.

The results were also published in The Lancet Rheumatology.

The risk of developing long COVID after infection with the Omicron variant appeared to be higher in patients with iRD, with 21% meeting the criteria set by the World Health Organization, compared with 13% of healthy individuals (odds ratio, 1.58; P = .037). Fatigue and loss of fitness were the most common long COVID symptoms reported by both iRD patients and controls. However, the difference in risk decreased after accounting for factors that are significantly associated with an increased risk for long COVID, such as body mass index and the severity of the acute COVID-19 infection (adjusted OR, 1.46; P = .081). The duration of symptoms did not show a statistically significant difference.

Kim Lauper, MD, University of Geneva, who chaired the session in which Ms. Boekel reported the study, said in an interview that the data should be interpreted with caution. “The data demonstrate that rheumatic disease itself is not a risk factor for long COVID. However, patients with rheumatic diseases are at a higher risk of severe disease, which in turn increases the likelihood of long COVID. Therefore, as a population, these patients are more susceptible to long COVID overall.”

Moreover, irrespective of their previous COVID-19 infection status, iRD patients often exhibit symptoms similar to those of long COVID even without a prior COVID-19 infection. (There was no history of COVID-19 in 21% of iRD patients vs. 11% of controls.) This suggests that some of the reported long COVID symptoms may actually be clinical manifestations of the underlying rheumatic disease, thereby complicating the diagnosis of long COVID in this population. The study employed the WHO definition of long COVID, which includes persistent symptoms lasting at least 8 weeks, beginning within 3 months of a confirmed SARS-CoV-2 infection, and that cannot be attributed to an alternative diagnosis. However, the data presented in Milan indicate that the WHO definition “is not well suited for patients with iRD due to significant overlap in symptoms and features,” Ms. Boekel concluded.

The cases of Omicron COVID-19 were identified during Jan. 1–April 25, 2022, among iRD patients recruited from the Amsterdam Rheumatology and Immunology Center. The population with confirmed SARS-CoV-2 Omicron infection during this period was monitored for long COVID. The total number of patients included in the study consisted of 77 iRD patients and 23 healthy controls. When asked about the potential risk of selection bias in the survey, Ms. Boekel stated that only approximately 8% of participants declined to respond, and the nonresponders were comparable with the respondents. She concluded that “the risk of selection bias is minimal.”

In an editorial published in The Lancet Rheumatology, Leonard H. Calabrese, DO, Cleveland Clinic, provided his insights on the findings. He emphasized that, “at present, long COVID remains an important reality that significantly impacts the lives of millions of individuals, yet it remains incompletely defined. ... These limitations in defining cases should not in any way undermine the experiences of those suffering from long COVID. Instead, they should serve as a reminder that, at this stage of the pandemic, we unfortunately still lack validated classification criteria for long COVID. It is crucial to include non–SARS-CoV-2–infected controls in all studies to further enhance our understanding.”

Ms. Boekel and coauthors, as well as Dr. Lauper and Dr. Calabrese, reported no relevant financial relationships.

A version of this article originally appeared on Medscape.com.

Rheumatic disease is not considered a significant risk factor for long COVID, according to the findings of a Dutch prospective cohort study presented at the annual European Congress of Rheumatology.

Although more patients with inflammatory rheumatic diseases (iRD) report symptoms resembling long COVID, the data suggest that many of these symptoms can be attributed to the underlying rheumatic disease. “Overall, we find the data quite reassuring,” said Laura Boekel, Amsterdam Rheumatology and Immunology Center, Amsterdam University Medical Center.

The results were also published in The Lancet Rheumatology.

The risk of developing long COVID after infection with the Omicron variant appeared to be higher in patients with iRD, with 21% meeting the criteria set by the World Health Organization, compared with 13% of healthy individuals (odds ratio, 1.58; P = .037). Fatigue and loss of fitness were the most common long COVID symptoms reported by both iRD patients and controls. However, the difference in risk decreased after accounting for factors that are significantly associated with an increased risk for long COVID, such as body mass index and the severity of the acute COVID-19 infection (adjusted OR, 1.46; P = .081). The duration of symptoms did not show a statistically significant difference.

Kim Lauper, MD, University of Geneva, who chaired the session in which Ms. Boekel reported the study, said in an interview that the data should be interpreted with caution. “The data demonstrate that rheumatic disease itself is not a risk factor for long COVID. However, patients with rheumatic diseases are at a higher risk of severe disease, which in turn increases the likelihood of long COVID. Therefore, as a population, these patients are more susceptible to long COVID overall.”

Moreover, irrespective of their previous COVID-19 infection status, iRD patients often exhibit symptoms similar to those of long COVID even without a prior COVID-19 infection. (There was no history of COVID-19 in 21% of iRD patients vs. 11% of controls.) This suggests that some of the reported long COVID symptoms may actually be clinical manifestations of the underlying rheumatic disease, thereby complicating the diagnosis of long COVID in this population. The study employed the WHO definition of long COVID, which includes persistent symptoms lasting at least 8 weeks, beginning within 3 months of a confirmed SARS-CoV-2 infection, and that cannot be attributed to an alternative diagnosis. However, the data presented in Milan indicate that the WHO definition “is not well suited for patients with iRD due to significant overlap in symptoms and features,” Ms. Boekel concluded.

The cases of Omicron COVID-19 were identified during Jan. 1–April 25, 2022, among iRD patients recruited from the Amsterdam Rheumatology and Immunology Center. The population with confirmed SARS-CoV-2 Omicron infection during this period was monitored for long COVID. The total number of patients included in the study consisted of 77 iRD patients and 23 healthy controls. When asked about the potential risk of selection bias in the survey, Ms. Boekel stated that only approximately 8% of participants declined to respond, and the nonresponders were comparable with the respondents. She concluded that “the risk of selection bias is minimal.”

In an editorial published in The Lancet Rheumatology, Leonard H. Calabrese, DO, Cleveland Clinic, provided his insights on the findings. He emphasized that, “at present, long COVID remains an important reality that significantly impacts the lives of millions of individuals, yet it remains incompletely defined. ... These limitations in defining cases should not in any way undermine the experiences of those suffering from long COVID. Instead, they should serve as a reminder that, at this stage of the pandemic, we unfortunately still lack validated classification criteria for long COVID. It is crucial to include non–SARS-CoV-2–infected controls in all studies to further enhance our understanding.”

Ms. Boekel and coauthors, as well as Dr. Lauper and Dr. Calabrese, reported no relevant financial relationships.

A version of this article originally appeared on Medscape.com.

Publications
Publications
Topics
Article Type
Sections
Article Source

AT EULAR 2023

Disallow All Ads
Content Gating
No Gating (article Unlocked/Free)
Alternative CME
Disqus Comments
Default
Use ProPublica
Hide sidebar & use full width
render the right sidebar.
Conference Recap Checkbox
Not Conference Recap
Clinical Edge
Display the Slideshow in this Article
Medscape Article
Display survey writer
Reuters content
Disable Inline Native ads
WebMD Article

When could you be sued for AI malpractice? You’re likely using it now

Article Type
Changed
Mon, 06/12/2023 - 10:45

The ways in which artificial intelligence (AI) may transform the future of medicine is making headlines across the globe. But chances are, you’re already using AI in your practice every day – you may just not realize it.
 

And whether you recognize the presence of AI or not, the technology could be putting you in danger of a lawsuit, legal experts say.

The use of AI in your daily practice can come with hidden liabilities, say legal experts, and as hospitals and medical groups deploy AI into more areas of health care, new liability exposures may be on the horizon.

“For physicians, AI has also not yet drastically changed or improved the way care is provided or consumed,” said Michael LeTang, chief nursing informatics officer and vice president of risk management and patient safety at Healthcare Risk Advisors, part of TDC Group. “Consequently, it may seem like AI is not present in their work streams, but in reality, it has been utilized in health care for several years. As AI technologies continue to develop and become more sophisticated, we can expect them to play an increasingly significant role in health care.”

Today, most AI applications in health care use narrow AI, which is designed to complete a single task without human assistance, as opposed to artificial general intelligence (AGI), which pertains to human-level reasoning and problem solving across a broad spectrum. Here are some ways doctors are using AI throughout the day – sometimes being aware of its assistance, and sometimes being unaware:

  • Many doctors use electronic health records (EHRs) with integrated AI that include computerized clinical decision support tools designed to reduce the risk of diagnostic error and to integrate decision-making in the medication ordering function.
  • Cardiologists, pathologists, and dermatologists use AI in the interpretation of vast amounts of images, tracings, and complex patterns.
  • Surgeons are using AI-enhanced surgical robotics for orthopedic surgeries, such as joint replacement and spine surgery.
  • A growing number of doctors are using ChatGPT to assist in drafting prior authorization letters for insurers. Experts say more doctors are also experimenting with ChatGPT to support medical decision-making.
  • Within oncology, physicians use machine learning techniques in the form of computer-aided detection systems for early breast cancer detection.
  • AI algorithms are often used by health systems for workflow, staffing optimization, population management, and care coordination.
  • Some systems within EHRs use AI to indicate high-risk patients.
  • Physicians are using AI applications for the early recognition of sepsis, including EHR-integrated decision tools, such as the Hospital Corporation of America Healthcare’s Sepsis Prediction and Optimization Therapy and the Sepsis Early Risk Assessment algorithm.
  • About 30% of radiologists use AI in their practice to analyze x-rays and CT scans.
  • Epic Systems recently announced a partnership with Microsoft to integrate ChatGPT into MyChart, Epic’s patient portal system. Pilot hospitals will utilize ChatGPT to automatically generate responses to patient-generated questions sent via the portal.
 

 

The growth of AI in health care has been enormous, and it’s only going to continue, said Ravi B. Parikh, MD, an assistant professor in the department of medical ethics and health policy and medicine at the University of Pennsylvania, Philadelphia.

“What’s really critical is that physicians, clinicians, and nurses using AI are provided with the tools to understand how artificial intelligence works and, most importantly, understand that they are still accountable for making the ultimate decision,” Mr. LeTang said, “The information is not always going to be the right thing to do or the most accurate thing to do. They’re still liable for making a bad decision, even if AI is driving that.”
 

What are the top AI legal dangers of today?

A pressing legal risk is becoming too reliant on the suggestions that AI-based systems provide, which can lead to poor care decisions, said Kenneth Rashbaum, a New York–based cybersecurity attorney with more than 25 years of experience in medical malpractice defense.

This can occur, for example, when using clinical support systems that leverage AI, machine learning, or statistical pattern recognition. Today, clinical support systems are commonly administered through EHRs and other computerized clinical workflows. In general, such systems match a patient’s characteristics to a computerized clinical knowledge base. An assessment or recommendation is then presented to the physician for a decision.

“If the clinician blindly accepts it without considering whether it’s appropriate for this patient at this time with this presentation, the clinician may bear some responsibility if there is an untoward result,” Mr. Rashbaum said.

“A common claim even in the days before the EMR [electronic medical record] and AI, was that the clinician did not take all available information into account in rendering treatment, including history of past and present condition, as reflected in the records, communication with past and other present treating clinicians, lab and radiology results, discussions with the patient, and physical examination findings,” he said. “So, if the clinician relied upon the support prompt to the exclusion of these other sources of information, that could be a very strong argument for the plaintiff.”

Chatbots, such OpenAI’s ChatGPT, are another form of AI raising legal red flags. ChatGPT, trained on a massive set of text data, can carry out conversations, write code, draft emails, and answer any question posed. The chatbot has gained considerable credibility for accurately diagnosing rare conditions in seconds, and it recently passed the U.S. Medical Licensing Examination.

It’s unclear how many doctors are signing onto the ChatGPT website daily, but physicians are actively using the chatbot, particularly for assistance with prior authorization letters and to support decision-making processes in their practices, said Mr. LeTang.

When physicians ask ChatGPT a question, however, they should be mindful that ChatGPT could “hallucinate,” a term that refers to a generated response that sounds plausible but is factually incorrect or is unrelated to the context, explains Harvey Castro, MD, an emergency physician, ChatGPT health care expert, and author of the 2023 book “ChatGPT and Healthcare: Unlocking the Potential of Patient Empowerment.”

Acting on ChatGPT’s response without vetting the information places doctors at serious risk of a lawsuit, he said.

“Sometimes, the response is half true and half false,” he said. “Say, I go outside my specialty of emergency medicine and ask it about a pediatric surgical procedure. It could give me a response that sounds medically correct, but then I ask a pediatric cardiologist, and he says, ‘We don’t even do this. This doesn’t even exist!’ Physicians really have to make sure they are vetting the information provided.”

In response to ChatGPT’s growing usage by health care professionals, hospitals and practices are quickly implementing guidelines, policies, and restrictions that caution physicians about the accuracy of ChatGPT-generated information, adds Mr. LeTang.

Emerging best practices include avoiding the input of patient health information, personally identifiable information, or any data that could be commercially valuable or considered the intellectual property of a hospital or health system, he said.

“Another crucial guideline is not to rely solely on ChatGPT as a definitive source for clinical decision-making; physicians must exercise their professional judgment,” he said. “If best practices are not adhered to, the associated risks are present today. However, these risks may become more significant as AI technologies continue to evolve and become increasingly integrated into health care.”

The potential for misdiagnosis by AI systems and the risk of unnecessary procedures if physicians do not thoroughly evaluate and validate AI predictions are other dangers.

As an example, Mr. LeTang described a case in which a physician documents in the EHR that a patient has presented to the emergency department with chest pains and other signs of a heart attack, and an AI algorithm predicts that the patient is experiencing an active myocardial infarction. If the physician then sends the patient for stenting or an angioplasty without other concrete evidence or tests to confirm the diagnosis, the doctor could later face a misdiagnosis complaint if the costly procedures were unnecessary.

“That’s one of the risks of using artificial intelligence,” he said. “A large percentage of malpractice claims is failure to diagnose, delayed diagnosis, or inaccurate diagnosis. What falls in the category of failure to diagnose is sending a patient for an unnecessary procedure or having an adverse event or bad outcome because of the failure to diagnose.”

So far, no AI lawsuits have been filed, but they may make an appearance soon, said Sue Boisvert, senior patient safety risk manager at The Doctors Company, a national medical liability insurer.

“There are hundreds of AI programs currently in use in health care,” she said. “At some point, a provider will make a decision that is contrary to what the AI recommended. The AI may be wrong, or the provider may be wrong. Either way, the provider will neglect to document their clinical reasoning, a patient will be harmed, and we will have the first AI claim.”
 

 

 

Upcoming AI legal risks to watch for

Lawsuits that allege biased patient care by physicians on the basis of algorithmic bias may also be forthcoming, analysts warn.

Much has been written about algorithmic bias that compounds and worsens inequities in socioeconomic status, ethnicity, sexual orientation, and gender in health systems. In 2019, a groundbreaking article in Science shed light on commonly used algorithms that are considered racially biased and how health care professionals often use such information to make medical decisions.

No claims involving AI bias have come down the pipeline yet, but it’s an area to watch, said Ms. Boisvert. She noted a website that highlights complaints and accusations of AI bias, including in health care.

“We need to be sure the training of the AI is appropriate, current, and broad enough so that there is no bias in the AI when it’s participating in the decision-making,” said Ms. Boisvert. “Imagine if the AI is diagnosing based on a dataset that is not local. It doesn’t represent the population at that particular hospital, and it’s providing inaccurate information to the physicians who are then making decisions about treatment.”

In pain management, for example, there are known differences in how patients experience pain, Ms. Boisvert said. If AI was being used to develop an algorithm for how a particular patient’s postoperative pain should be managed, and the algorithm did not include the differences, the pain control for a certain patient could be inappropriate. A poor outcome resulting from the treatment could lead to a claim against the physician or hospital that used the biased AI system, she said.

In the future, as AI becomes more integrated and accepted in medicine, there may be a risk of legal complaints against doctors for not using AI, said Saurabh Jha, MD, an associate professor of radiology at the University of Pennsylvania, Philadelphia, and a scholar of AI in radiology.

“Ultimately, we might get to a place where AI starts helping physicians detect more or reduce the miss of certain conditions, and it becomes the standard of care,” Dr. Jha said. “For example, if it became part of the standard of care for pulmonary embolism [PE] detection, and you didn’t use it for PE detection, and there was a miss. That could put you at legal risk. We’re not at that stage yet, but that is one future possibility.”

Dr. Parikh envisions an even cloudier liability landscape as the potential grows for AI to control patient care decisions. In such a scenario, rather than just issuing an alert or prediction to a physician, the AI system could trigger an action.

For instance, if an algorithm is trained to predict sepsis and, once triggered, the AI could initiate a nurse-led rapid response or a change in patient care outside the clinician’s control, said Dr. Parikh, who coauthored a recent article on AI and medical liability in The Milbank Quarterly.

“That’s still very much the minority of how AI is being used, but as evidence is growing that AI-based diagnostic tools perform equivalent or even superior to physicians, these autonomous workflows are being considered,” Dr. Parikh said. “When the ultimate action upon the patient is more determined by the AI than what the clinician does, then I think the liability picture gets murkier, and we should be thinking about how we can respond to that from a liability framework.”
 

 

 

How you can prevent AI-related lawsuits

The first step to preventing an AI-related claim is being aware of when and how you are using AI.

Ensure you’re informed about how the AI was trained, Ms. Boisvert stresses.

“Ask questions!” she said. “Is the AI safe? Are the recommendations accurate? Does the AI perform better than current systems? In what way? What databases were used, and did the programmers consider bias? Do I understand how to use the results?”

Never blindly trust the AI but rather view it as a data point in a medical decision, said Dr. Parikh. Ensure that other sources of medical information are properly accessed and that best practices for your specialty are still being followed.

When using any form of AI, document your usage, adds Mr. Rashbaum. A record that clearly outlines how the physician incorporated the AI is critical if a claim later arises in which the doctor is accused of AI-related malpractice, he said.

“Indicating how the AI tool was used, why it was used, and that it was used in conjunction with available clinical information and the clinician’s best judgment could reduce the risk of being found responsible as a result of AI use in a particular case,” he said.

Use chatbots, such as ChatGPT, the way they were intended, as support tools, rather than definitive diagnostic instruments, adds Dr. Castro.

“Doctors should also be well-trained in interpreting and understanding the suggestions provided by ChatGPT and should use their clinical judgment and experience alongside the AI tool for more accurate decision-making,” he said.

In addition, because no AI insurance product exists on the market, physicians and organizations using AI – particularly for direct health care – should evaluate their current insurance or insurance-like products to determine where a claim involving AI might fall and whether the policy would respond, said Ms. Boisvert. The AI vendor/manufacturer will likely have indemnified themselves in the purchase and sale agreement or contract, she said.

It will also become increasingly important for medical practices, hospitals, and health systems to put in place strong data governance strategies, Mr. LeTang said.

“AI relies on good data,” he said. “A data governance strategy is a key component to making sure we understand where the data is coming from, what is represents, how accurate it is, if it’s reproducible, what controls are in place to ensure the right people have the right access, and that if we’re starting to use it to build algorithms, that it’s deidentified.”

While no malpractice claims associated with the use of AI have yet surfaced, this may change as legal courts catch up on the backlog of malpractice claims that were delayed because of COVID-19, and even more so as AI becomes more prevalent in health care, Mr. LeTang said.

“Similar to the attention that autonomous driving systems, like Tesla, receive when the system fails and accidents occur, we can be assured that media outlets will widely publicize AI-related medical adverse events,” he said. “It is crucial for health care professionals, AI developers, and regulatory authorities to work together to ensure the responsible use of AI in health care, with patient safety as the top priority. By doing so, they can mitigate the risks associated with AI implementation and minimize the potential for legal disputes arising from AI-related medical errors.”

A version of this article first appeared on Medscape.com.

Publications
Topics
Sections

The ways in which artificial intelligence (AI) may transform the future of medicine is making headlines across the globe. But chances are, you’re already using AI in your practice every day – you may just not realize it.
 

And whether you recognize the presence of AI or not, the technology could be putting you in danger of a lawsuit, legal experts say.

The use of AI in your daily practice can come with hidden liabilities, say legal experts, and as hospitals and medical groups deploy AI into more areas of health care, new liability exposures may be on the horizon.

“For physicians, AI has also not yet drastically changed or improved the way care is provided or consumed,” said Michael LeTang, chief nursing informatics officer and vice president of risk management and patient safety at Healthcare Risk Advisors, part of TDC Group. “Consequently, it may seem like AI is not present in their work streams, but in reality, it has been utilized in health care for several years. As AI technologies continue to develop and become more sophisticated, we can expect them to play an increasingly significant role in health care.”

Today, most AI applications in health care use narrow AI, which is designed to complete a single task without human assistance, as opposed to artificial general intelligence (AGI), which pertains to human-level reasoning and problem solving across a broad spectrum. Here are some ways doctors are using AI throughout the day – sometimes being aware of its assistance, and sometimes being unaware:

  • Many doctors use electronic health records (EHRs) with integrated AI that include computerized clinical decision support tools designed to reduce the risk of diagnostic error and to integrate decision-making in the medication ordering function.
  • Cardiologists, pathologists, and dermatologists use AI in the interpretation of vast amounts of images, tracings, and complex patterns.
  • Surgeons are using AI-enhanced surgical robotics for orthopedic surgeries, such as joint replacement and spine surgery.
  • A growing number of doctors are using ChatGPT to assist in drafting prior authorization letters for insurers. Experts say more doctors are also experimenting with ChatGPT to support medical decision-making.
  • Within oncology, physicians use machine learning techniques in the form of computer-aided detection systems for early breast cancer detection.
  • AI algorithms are often used by health systems for workflow, staffing optimization, population management, and care coordination.
  • Some systems within EHRs use AI to indicate high-risk patients.
  • Physicians are using AI applications for the early recognition of sepsis, including EHR-integrated decision tools, such as the Hospital Corporation of America Healthcare’s Sepsis Prediction and Optimization Therapy and the Sepsis Early Risk Assessment algorithm.
  • About 30% of radiologists use AI in their practice to analyze x-rays and CT scans.
  • Epic Systems recently announced a partnership with Microsoft to integrate ChatGPT into MyChart, Epic’s patient portal system. Pilot hospitals will utilize ChatGPT to automatically generate responses to patient-generated questions sent via the portal.
 

 

The growth of AI in health care has been enormous, and it’s only going to continue, said Ravi B. Parikh, MD, an assistant professor in the department of medical ethics and health policy and medicine at the University of Pennsylvania, Philadelphia.

“What’s really critical is that physicians, clinicians, and nurses using AI are provided with the tools to understand how artificial intelligence works and, most importantly, understand that they are still accountable for making the ultimate decision,” Mr. LeTang said, “The information is not always going to be the right thing to do or the most accurate thing to do. They’re still liable for making a bad decision, even if AI is driving that.”
 

What are the top AI legal dangers of today?

A pressing legal risk is becoming too reliant on the suggestions that AI-based systems provide, which can lead to poor care decisions, said Kenneth Rashbaum, a New York–based cybersecurity attorney with more than 25 years of experience in medical malpractice defense.

This can occur, for example, when using clinical support systems that leverage AI, machine learning, or statistical pattern recognition. Today, clinical support systems are commonly administered through EHRs and other computerized clinical workflows. In general, such systems match a patient’s characteristics to a computerized clinical knowledge base. An assessment or recommendation is then presented to the physician for a decision.

“If the clinician blindly accepts it without considering whether it’s appropriate for this patient at this time with this presentation, the clinician may bear some responsibility if there is an untoward result,” Mr. Rashbaum said.

“A common claim even in the days before the EMR [electronic medical record] and AI, was that the clinician did not take all available information into account in rendering treatment, including history of past and present condition, as reflected in the records, communication with past and other present treating clinicians, lab and radiology results, discussions with the patient, and physical examination findings,” he said. “So, if the clinician relied upon the support prompt to the exclusion of these other sources of information, that could be a very strong argument for the plaintiff.”

Chatbots, such OpenAI’s ChatGPT, are another form of AI raising legal red flags. ChatGPT, trained on a massive set of text data, can carry out conversations, write code, draft emails, and answer any question posed. The chatbot has gained considerable credibility for accurately diagnosing rare conditions in seconds, and it recently passed the U.S. Medical Licensing Examination.

It’s unclear how many doctors are signing onto the ChatGPT website daily, but physicians are actively using the chatbot, particularly for assistance with prior authorization letters and to support decision-making processes in their practices, said Mr. LeTang.

When physicians ask ChatGPT a question, however, they should be mindful that ChatGPT could “hallucinate,” a term that refers to a generated response that sounds plausible but is factually incorrect or is unrelated to the context, explains Harvey Castro, MD, an emergency physician, ChatGPT health care expert, and author of the 2023 book “ChatGPT and Healthcare: Unlocking the Potential of Patient Empowerment.”

Acting on ChatGPT’s response without vetting the information places doctors at serious risk of a lawsuit, he said.

“Sometimes, the response is half true and half false,” he said. “Say, I go outside my specialty of emergency medicine and ask it about a pediatric surgical procedure. It could give me a response that sounds medically correct, but then I ask a pediatric cardiologist, and he says, ‘We don’t even do this. This doesn’t even exist!’ Physicians really have to make sure they are vetting the information provided.”

In response to ChatGPT’s growing usage by health care professionals, hospitals and practices are quickly implementing guidelines, policies, and restrictions that caution physicians about the accuracy of ChatGPT-generated information, adds Mr. LeTang.

Emerging best practices include avoiding the input of patient health information, personally identifiable information, or any data that could be commercially valuable or considered the intellectual property of a hospital or health system, he said.

“Another crucial guideline is not to rely solely on ChatGPT as a definitive source for clinical decision-making; physicians must exercise their professional judgment,” he said. “If best practices are not adhered to, the associated risks are present today. However, these risks may become more significant as AI technologies continue to evolve and become increasingly integrated into health care.”

The potential for misdiagnosis by AI systems and the risk of unnecessary procedures if physicians do not thoroughly evaluate and validate AI predictions are other dangers.

As an example, Mr. LeTang described a case in which a physician documents in the EHR that a patient has presented to the emergency department with chest pains and other signs of a heart attack, and an AI algorithm predicts that the patient is experiencing an active myocardial infarction. If the physician then sends the patient for stenting or an angioplasty without other concrete evidence or tests to confirm the diagnosis, the doctor could later face a misdiagnosis complaint if the costly procedures were unnecessary.

“That’s one of the risks of using artificial intelligence,” he said. “A large percentage of malpractice claims is failure to diagnose, delayed diagnosis, or inaccurate diagnosis. What falls in the category of failure to diagnose is sending a patient for an unnecessary procedure or having an adverse event or bad outcome because of the failure to diagnose.”

So far, no AI lawsuits have been filed, but they may make an appearance soon, said Sue Boisvert, senior patient safety risk manager at The Doctors Company, a national medical liability insurer.

“There are hundreds of AI programs currently in use in health care,” she said. “At some point, a provider will make a decision that is contrary to what the AI recommended. The AI may be wrong, or the provider may be wrong. Either way, the provider will neglect to document their clinical reasoning, a patient will be harmed, and we will have the first AI claim.”
 

 

 

Upcoming AI legal risks to watch for

Lawsuits that allege biased patient care by physicians on the basis of algorithmic bias may also be forthcoming, analysts warn.

Much has been written about algorithmic bias that compounds and worsens inequities in socioeconomic status, ethnicity, sexual orientation, and gender in health systems. In 2019, a groundbreaking article in Science shed light on commonly used algorithms that are considered racially biased and how health care professionals often use such information to make medical decisions.

No claims involving AI bias have come down the pipeline yet, but it’s an area to watch, said Ms. Boisvert. She noted a website that highlights complaints and accusations of AI bias, including in health care.

“We need to be sure the training of the AI is appropriate, current, and broad enough so that there is no bias in the AI when it’s participating in the decision-making,” said Ms. Boisvert. “Imagine if the AI is diagnosing based on a dataset that is not local. It doesn’t represent the population at that particular hospital, and it’s providing inaccurate information to the physicians who are then making decisions about treatment.”

In pain management, for example, there are known differences in how patients experience pain, Ms. Boisvert said. If AI was being used to develop an algorithm for how a particular patient’s postoperative pain should be managed, and the algorithm did not include the differences, the pain control for a certain patient could be inappropriate. A poor outcome resulting from the treatment could lead to a claim against the physician or hospital that used the biased AI system, she said.

In the future, as AI becomes more integrated and accepted in medicine, there may be a risk of legal complaints against doctors for not using AI, said Saurabh Jha, MD, an associate professor of radiology at the University of Pennsylvania, Philadelphia, and a scholar of AI in radiology.

“Ultimately, we might get to a place where AI starts helping physicians detect more or reduce the miss of certain conditions, and it becomes the standard of care,” Dr. Jha said. “For example, if it became part of the standard of care for pulmonary embolism [PE] detection, and you didn’t use it for PE detection, and there was a miss. That could put you at legal risk. We’re not at that stage yet, but that is one future possibility.”

Dr. Parikh envisions an even cloudier liability landscape as the potential grows for AI to control patient care decisions. In such a scenario, rather than just issuing an alert or prediction to a physician, the AI system could trigger an action.

For instance, if an algorithm is trained to predict sepsis and, once triggered, the AI could initiate a nurse-led rapid response or a change in patient care outside the clinician’s control, said Dr. Parikh, who coauthored a recent article on AI and medical liability in The Milbank Quarterly.

“That’s still very much the minority of how AI is being used, but as evidence is growing that AI-based diagnostic tools perform equivalent or even superior to physicians, these autonomous workflows are being considered,” Dr. Parikh said. “When the ultimate action upon the patient is more determined by the AI than what the clinician does, then I think the liability picture gets murkier, and we should be thinking about how we can respond to that from a liability framework.”
 

 

 

How you can prevent AI-related lawsuits

The first step to preventing an AI-related claim is being aware of when and how you are using AI.

Ensure you’re informed about how the AI was trained, Ms. Boisvert stresses.

“Ask questions!” she said. “Is the AI safe? Are the recommendations accurate? Does the AI perform better than current systems? In what way? What databases were used, and did the programmers consider bias? Do I understand how to use the results?”

Never blindly trust the AI but rather view it as a data point in a medical decision, said Dr. Parikh. Ensure that other sources of medical information are properly accessed and that best practices for your specialty are still being followed.

When using any form of AI, document your usage, adds Mr. Rashbaum. A record that clearly outlines how the physician incorporated the AI is critical if a claim later arises in which the doctor is accused of AI-related malpractice, he said.

“Indicating how the AI tool was used, why it was used, and that it was used in conjunction with available clinical information and the clinician’s best judgment could reduce the risk of being found responsible as a result of AI use in a particular case,” he said.

Use chatbots, such as ChatGPT, the way they were intended, as support tools, rather than definitive diagnostic instruments, adds Dr. Castro.

“Doctors should also be well-trained in interpreting and understanding the suggestions provided by ChatGPT and should use their clinical judgment and experience alongside the AI tool for more accurate decision-making,” he said.

In addition, because no AI insurance product exists on the market, physicians and organizations using AI – particularly for direct health care – should evaluate their current insurance or insurance-like products to determine where a claim involving AI might fall and whether the policy would respond, said Ms. Boisvert. The AI vendor/manufacturer will likely have indemnified themselves in the purchase and sale agreement or contract, she said.

It will also become increasingly important for medical practices, hospitals, and health systems to put in place strong data governance strategies, Mr. LeTang said.

“AI relies on good data,” he said. “A data governance strategy is a key component to making sure we understand where the data is coming from, what is represents, how accurate it is, if it’s reproducible, what controls are in place to ensure the right people have the right access, and that if we’re starting to use it to build algorithms, that it’s deidentified.”

While no malpractice claims associated with the use of AI have yet surfaced, this may change as legal courts catch up on the backlog of malpractice claims that were delayed because of COVID-19, and even more so as AI becomes more prevalent in health care, Mr. LeTang said.

“Similar to the attention that autonomous driving systems, like Tesla, receive when the system fails and accidents occur, we can be assured that media outlets will widely publicize AI-related medical adverse events,” he said. “It is crucial for health care professionals, AI developers, and regulatory authorities to work together to ensure the responsible use of AI in health care, with patient safety as the top priority. By doing so, they can mitigate the risks associated with AI implementation and minimize the potential for legal disputes arising from AI-related medical errors.”

A version of this article first appeared on Medscape.com.

The ways in which artificial intelligence (AI) may transform the future of medicine is making headlines across the globe. But chances are, you’re already using AI in your practice every day – you may just not realize it.
 

And whether you recognize the presence of AI or not, the technology could be putting you in danger of a lawsuit, legal experts say.

The use of AI in your daily practice can come with hidden liabilities, say legal experts, and as hospitals and medical groups deploy AI into more areas of health care, new liability exposures may be on the horizon.

“For physicians, AI has also not yet drastically changed or improved the way care is provided or consumed,” said Michael LeTang, chief nursing informatics officer and vice president of risk management and patient safety at Healthcare Risk Advisors, part of TDC Group. “Consequently, it may seem like AI is not present in their work streams, but in reality, it has been utilized in health care for several years. As AI technologies continue to develop and become more sophisticated, we can expect them to play an increasingly significant role in health care.”

Today, most AI applications in health care use narrow AI, which is designed to complete a single task without human assistance, as opposed to artificial general intelligence (AGI), which pertains to human-level reasoning and problem solving across a broad spectrum. Here are some ways doctors are using AI throughout the day – sometimes being aware of its assistance, and sometimes being unaware:

  • Many doctors use electronic health records (EHRs) with integrated AI that include computerized clinical decision support tools designed to reduce the risk of diagnostic error and to integrate decision-making in the medication ordering function.
  • Cardiologists, pathologists, and dermatologists use AI in the interpretation of vast amounts of images, tracings, and complex patterns.
  • Surgeons are using AI-enhanced surgical robotics for orthopedic surgeries, such as joint replacement and spine surgery.
  • A growing number of doctors are using ChatGPT to assist in drafting prior authorization letters for insurers. Experts say more doctors are also experimenting with ChatGPT to support medical decision-making.
  • Within oncology, physicians use machine learning techniques in the form of computer-aided detection systems for early breast cancer detection.
  • AI algorithms are often used by health systems for workflow, staffing optimization, population management, and care coordination.
  • Some systems within EHRs use AI to indicate high-risk patients.
  • Physicians are using AI applications for the early recognition of sepsis, including EHR-integrated decision tools, such as the Hospital Corporation of America Healthcare’s Sepsis Prediction and Optimization Therapy and the Sepsis Early Risk Assessment algorithm.
  • About 30% of radiologists use AI in their practice to analyze x-rays and CT scans.
  • Epic Systems recently announced a partnership with Microsoft to integrate ChatGPT into MyChart, Epic’s patient portal system. Pilot hospitals will utilize ChatGPT to automatically generate responses to patient-generated questions sent via the portal.
 

 

The growth of AI in health care has been enormous, and it’s only going to continue, said Ravi B. Parikh, MD, an assistant professor in the department of medical ethics and health policy and medicine at the University of Pennsylvania, Philadelphia.

“What’s really critical is that physicians, clinicians, and nurses using AI are provided with the tools to understand how artificial intelligence works and, most importantly, understand that they are still accountable for making the ultimate decision,” Mr. LeTang said, “The information is not always going to be the right thing to do or the most accurate thing to do. They’re still liable for making a bad decision, even if AI is driving that.”
 

What are the top AI legal dangers of today?

A pressing legal risk is becoming too reliant on the suggestions that AI-based systems provide, which can lead to poor care decisions, said Kenneth Rashbaum, a New York–based cybersecurity attorney with more than 25 years of experience in medical malpractice defense.

This can occur, for example, when using clinical support systems that leverage AI, machine learning, or statistical pattern recognition. Today, clinical support systems are commonly administered through EHRs and other computerized clinical workflows. In general, such systems match a patient’s characteristics to a computerized clinical knowledge base. An assessment or recommendation is then presented to the physician for a decision.

“If the clinician blindly accepts it without considering whether it’s appropriate for this patient at this time with this presentation, the clinician may bear some responsibility if there is an untoward result,” Mr. Rashbaum said.

“A common claim even in the days before the EMR [electronic medical record] and AI, was that the clinician did not take all available information into account in rendering treatment, including history of past and present condition, as reflected in the records, communication with past and other present treating clinicians, lab and radiology results, discussions with the patient, and physical examination findings,” he said. “So, if the clinician relied upon the support prompt to the exclusion of these other sources of information, that could be a very strong argument for the plaintiff.”

Chatbots, such OpenAI’s ChatGPT, are another form of AI raising legal red flags. ChatGPT, trained on a massive set of text data, can carry out conversations, write code, draft emails, and answer any question posed. The chatbot has gained considerable credibility for accurately diagnosing rare conditions in seconds, and it recently passed the U.S. Medical Licensing Examination.

It’s unclear how many doctors are signing onto the ChatGPT website daily, but physicians are actively using the chatbot, particularly for assistance with prior authorization letters and to support decision-making processes in their practices, said Mr. LeTang.

When physicians ask ChatGPT a question, however, they should be mindful that ChatGPT could “hallucinate,” a term that refers to a generated response that sounds plausible but is factually incorrect or is unrelated to the context, explains Harvey Castro, MD, an emergency physician, ChatGPT health care expert, and author of the 2023 book “ChatGPT and Healthcare: Unlocking the Potential of Patient Empowerment.”

Acting on ChatGPT’s response without vetting the information places doctors at serious risk of a lawsuit, he said.

“Sometimes, the response is half true and half false,” he said. “Say, I go outside my specialty of emergency medicine and ask it about a pediatric surgical procedure. It could give me a response that sounds medically correct, but then I ask a pediatric cardiologist, and he says, ‘We don’t even do this. This doesn’t even exist!’ Physicians really have to make sure they are vetting the information provided.”

In response to ChatGPT’s growing usage by health care professionals, hospitals and practices are quickly implementing guidelines, policies, and restrictions that caution physicians about the accuracy of ChatGPT-generated information, adds Mr. LeTang.

Emerging best practices include avoiding the input of patient health information, personally identifiable information, or any data that could be commercially valuable or considered the intellectual property of a hospital or health system, he said.

“Another crucial guideline is not to rely solely on ChatGPT as a definitive source for clinical decision-making; physicians must exercise their professional judgment,” he said. “If best practices are not adhered to, the associated risks are present today. However, these risks may become more significant as AI technologies continue to evolve and become increasingly integrated into health care.”

The potential for misdiagnosis by AI systems and the risk of unnecessary procedures if physicians do not thoroughly evaluate and validate AI predictions are other dangers.

As an example, Mr. LeTang described a case in which a physician documents in the EHR that a patient has presented to the emergency department with chest pains and other signs of a heart attack, and an AI algorithm predicts that the patient is experiencing an active myocardial infarction. If the physician then sends the patient for stenting or an angioplasty without other concrete evidence or tests to confirm the diagnosis, the doctor could later face a misdiagnosis complaint if the costly procedures were unnecessary.

“That’s one of the risks of using artificial intelligence,” he said. “A large percentage of malpractice claims is failure to diagnose, delayed diagnosis, or inaccurate diagnosis. What falls in the category of failure to diagnose is sending a patient for an unnecessary procedure or having an adverse event or bad outcome because of the failure to diagnose.”

So far, no AI lawsuits have been filed, but they may make an appearance soon, said Sue Boisvert, senior patient safety risk manager at The Doctors Company, a national medical liability insurer.

“There are hundreds of AI programs currently in use in health care,” she said. “At some point, a provider will make a decision that is contrary to what the AI recommended. The AI may be wrong, or the provider may be wrong. Either way, the provider will neglect to document their clinical reasoning, a patient will be harmed, and we will have the first AI claim.”
 

 

 

Upcoming AI legal risks to watch for

Lawsuits that allege biased patient care by physicians on the basis of algorithmic bias may also be forthcoming, analysts warn.

Much has been written about algorithmic bias that compounds and worsens inequities in socioeconomic status, ethnicity, sexual orientation, and gender in health systems. In 2019, a groundbreaking article in Science shed light on commonly used algorithms that are considered racially biased and how health care professionals often use such information to make medical decisions.

No claims involving AI bias have come down the pipeline yet, but it’s an area to watch, said Ms. Boisvert. She noted a website that highlights complaints and accusations of AI bias, including in health care.

“We need to be sure the training of the AI is appropriate, current, and broad enough so that there is no bias in the AI when it’s participating in the decision-making,” said Ms. Boisvert. “Imagine if the AI is diagnosing based on a dataset that is not local. It doesn’t represent the population at that particular hospital, and it’s providing inaccurate information to the physicians who are then making decisions about treatment.”

In pain management, for example, there are known differences in how patients experience pain, Ms. Boisvert said. If AI was being used to develop an algorithm for how a particular patient’s postoperative pain should be managed, and the algorithm did not include the differences, the pain control for a certain patient could be inappropriate. A poor outcome resulting from the treatment could lead to a claim against the physician or hospital that used the biased AI system, she said.

In the future, as AI becomes more integrated and accepted in medicine, there may be a risk of legal complaints against doctors for not using AI, said Saurabh Jha, MD, an associate professor of radiology at the University of Pennsylvania, Philadelphia, and a scholar of AI in radiology.

“Ultimately, we might get to a place where AI starts helping physicians detect more or reduce the miss of certain conditions, and it becomes the standard of care,” Dr. Jha said. “For example, if it became part of the standard of care for pulmonary embolism [PE] detection, and you didn’t use it for PE detection, and there was a miss. That could put you at legal risk. We’re not at that stage yet, but that is one future possibility.”

Dr. Parikh envisions an even cloudier liability landscape as the potential grows for AI to control patient care decisions. In such a scenario, rather than just issuing an alert or prediction to a physician, the AI system could trigger an action.

For instance, if an algorithm is trained to predict sepsis and, once triggered, the AI could initiate a nurse-led rapid response or a change in patient care outside the clinician’s control, said Dr. Parikh, who coauthored a recent article on AI and medical liability in The Milbank Quarterly.

“That’s still very much the minority of how AI is being used, but as evidence is growing that AI-based diagnostic tools perform equivalent or even superior to physicians, these autonomous workflows are being considered,” Dr. Parikh said. “When the ultimate action upon the patient is more determined by the AI than what the clinician does, then I think the liability picture gets murkier, and we should be thinking about how we can respond to that from a liability framework.”
 

 

 

How you can prevent AI-related lawsuits

The first step to preventing an AI-related claim is being aware of when and how you are using AI.

Ensure you’re informed about how the AI was trained, Ms. Boisvert stresses.

“Ask questions!” she said. “Is the AI safe? Are the recommendations accurate? Does the AI perform better than current systems? In what way? What databases were used, and did the programmers consider bias? Do I understand how to use the results?”

Never blindly trust the AI but rather view it as a data point in a medical decision, said Dr. Parikh. Ensure that other sources of medical information are properly accessed and that best practices for your specialty are still being followed.

When using any form of AI, document your usage, adds Mr. Rashbaum. A record that clearly outlines how the physician incorporated the AI is critical if a claim later arises in which the doctor is accused of AI-related malpractice, he said.

“Indicating how the AI tool was used, why it was used, and that it was used in conjunction with available clinical information and the clinician’s best judgment could reduce the risk of being found responsible as a result of AI use in a particular case,” he said.

Use chatbots, such as ChatGPT, the way they were intended, as support tools, rather than definitive diagnostic instruments, adds Dr. Castro.

“Doctors should also be well-trained in interpreting and understanding the suggestions provided by ChatGPT and should use their clinical judgment and experience alongside the AI tool for more accurate decision-making,” he said.

In addition, because no AI insurance product exists on the market, physicians and organizations using AI – particularly for direct health care – should evaluate their current insurance or insurance-like products to determine where a claim involving AI might fall and whether the policy would respond, said Ms. Boisvert. The AI vendor/manufacturer will likely have indemnified themselves in the purchase and sale agreement or contract, she said.

It will also become increasingly important for medical practices, hospitals, and health systems to put in place strong data governance strategies, Mr. LeTang said.

“AI relies on good data,” he said. “A data governance strategy is a key component to making sure we understand where the data is coming from, what is represents, how accurate it is, if it’s reproducible, what controls are in place to ensure the right people have the right access, and that if we’re starting to use it to build algorithms, that it’s deidentified.”

While no malpractice claims associated with the use of AI have yet surfaced, this may change as legal courts catch up on the backlog of malpractice claims that were delayed because of COVID-19, and even more so as AI becomes more prevalent in health care, Mr. LeTang said.

“Similar to the attention that autonomous driving systems, like Tesla, receive when the system fails and accidents occur, we can be assured that media outlets will widely publicize AI-related medical adverse events,” he said. “It is crucial for health care professionals, AI developers, and regulatory authorities to work together to ensure the responsible use of AI in health care, with patient safety as the top priority. By doing so, they can mitigate the risks associated with AI implementation and minimize the potential for legal disputes arising from AI-related medical errors.”

A version of this article first appeared on Medscape.com.

Publications
Publications
Topics
Article Type
Sections
Disallow All Ads
Content Gating
No Gating (article Unlocked/Free)
Alternative CME
Disqus Comments
Default
Use ProPublica
Hide sidebar & use full width
render the right sidebar.
Conference Recap Checkbox
Not Conference Recap
Clinical Edge
Display the Slideshow in this Article
Medscape Article
Display survey writer
Reuters content
Disable Inline Native ads
WebMD Article

Blood biomarker may help predict who will develop Alzheimer’s

Article Type
Changed
Wed, 06/14/2023 - 09:41

A blood biomarker that measures astrocyte reactivity may help determine who, among cognitively unimpaired older adults with amyloid-beta, will go on to develop Alzheimer’s disease (AD), new research suggests.

Investigators tested the blood of 1,000 cognitively healthy individuals with and without amyloid-beta pathology and found that only those with a combination of amyloid-beta burden and abnormal astrocyte activation subsequently progressed to AD.

“Our study argues that testing for the presence of brain amyloid along with blood biomarkers of astrocyte reactivity is the optimal screening to identify patients who are most at risk for progressing to Alzheimer’s disease,” senior investigator Tharick A. Pascoal, MD, PhD, associate professor of psychiatry and neurology, University of Pittsburgh, said in a release.

At this point, the biomarker is a research tool, but its application in clinical practice “is not very far away,” Dr. Pascoal told this news organization.

The study was published online  in Nature Medicine.  
 

Multicenter study

In AD, accumulation of amyloid-beta in the brain precedes tau pathology, but not everyone with amyloid-beta develops tau, and, consequently, clinical symptoms. Approximately 30% of older adults have brain amyloid but many never progress to AD, said Dr. Pascoal.

This suggests other biological processes may trigger the deleterious effects of amyloid-beta in the early stages of AD.

Finding predictive markers of early amyloid-beta–related tau pathology would help identify cognitively normal individuals who are more likely to develop AD.

Post-mortem studies show astrocyte reactivity – changes in glial cells in the brain and spinal cord because of an insult in the brain – is an early AD abnormality. Other research suggests a close link between amyloid-beta, astrocyte reactivity, and tau.

In addition, evidence suggests plasma measures of glial fibrillary acidic protein (GFAP) could be a strong proxy of astrocyte reactivity in the brain. Dr. Pascoal explained that when astrocytes are changed or become bigger, more GFAP is released.

The study included 1,016 cognitively normal individuals from three centers; some had amyloid pathology, some did not. Participants’ mean age was 69.6 years, and all were deemed negative or positive for astrocyte reactivity based on plasma GFAP levels.

Results showed amyloid-beta is associated with increased plasma phosphorylated tau only in individuals positive for astrocyte reactivity. In addition, analyses using PET scans showed an AD-like pattern of tau tangle accumulation as a function of amyloid-beta exclusively in those same individuals.
 

Early upstream event

The findings suggest abnormalities in astrocyte reactivity is an early upstream event that likely occurs prior to tau pathology, which is closely related to the development of neurodegeneration and cognitive decline.

It’s likely many types of insults or processes can lead to astrocyte reactivity, possibly including COVID, but more research in this area is needed, said Dr. Pascoal.

“Our study only looked at the consequence of having both amyloid and astrocyte reactivity; it did not elucidate what is causing either of them,” he said.

Although “we were able to have very good results” in the current study, additional studies are needed to better establish the cut-off for GFAP levels that signal progression, said Dr. Pascoal.

The effect of astrocyte reactivity on the association between amyloid-beta and tau phosphorylation was greater in men than women. Dr. Pascoal noted anti-amyloid therapies, which might be modifying the amyloid-beta-astrocyte-tau pathway, tend to have a much larger effect in men than women.

Further studies that measure amyloid-beta, tau, and GFAP biomarkers at multiple timepoints, and with long follow-up, are needed, the investigators note.

The results may have implications for clinical trials, which have increasingly focused on individuals in the earliest preclinical phases of AD. Future studies should include cognitively normal patients who are positive for both amyloid pathology and astrocyte reactivity but have no overt p-tau abnormality, said Dr. Pascoal.

This may provide a time window for interventions very early in the disease process in those at increased risk for AD-related progression.

The study did not determine whether participants with both amyloid and astrocyte reactivity will inevitably develop AD, and to do so would require a longer follow up. “Our outcome was correlation to tau in the brain, which is something we know will lead to AD.”

Although the cohort represents significant socioeconomic diversity, a main limitation of the study was that subjects were mainly White, which limits the generalizability of the findings to a more diverse population.

The study received support from the National Institute of Aging; National Heart Lung and Blood Institute; Alzheimer’s Association; Fonds de Recherche du Québec-Santé; Canadian Consortium of Neurodegeneration in Aging; Weston Brain Institute; Colin Adair Charitable Foundation; Swedish Research Council; Wallenberg Scholar; BrightFocus Foundation; Swedish Alzheimer Foundation; Swedish Brain Foundation; Agneta Prytz-Folkes & Gösta Folkes Foundation; European Union; Swedish State Support for Clinical Research; Alzheimer Drug Discovery Foundation; Bluefield Project, the Olav Thon Foundation, the Erling-Persson Family Foundation, Stiftelsen för Gamla Tjänarinnor, Hjärnfonden, Sweden; the UK Dementia Research Institute at UCL; National Academy of Neuropsychology; Fundação de Amparo a pesquisa do Rio Grande do Sul; Instituto Serrapilheira; and Hjärnfonden.

Dr. Pascoal reports no relevant financial relationships.

A version of this article first appeared on Medscape.com.

Publications
Topics
Sections

A blood biomarker that measures astrocyte reactivity may help determine who, among cognitively unimpaired older adults with amyloid-beta, will go on to develop Alzheimer’s disease (AD), new research suggests.

Investigators tested the blood of 1,000 cognitively healthy individuals with and without amyloid-beta pathology and found that only those with a combination of amyloid-beta burden and abnormal astrocyte activation subsequently progressed to AD.

“Our study argues that testing for the presence of brain amyloid along with blood biomarkers of astrocyte reactivity is the optimal screening to identify patients who are most at risk for progressing to Alzheimer’s disease,” senior investigator Tharick A. Pascoal, MD, PhD, associate professor of psychiatry and neurology, University of Pittsburgh, said in a release.

At this point, the biomarker is a research tool, but its application in clinical practice “is not very far away,” Dr. Pascoal told this news organization.

The study was published online  in Nature Medicine.  
 

Multicenter study

In AD, accumulation of amyloid-beta in the brain precedes tau pathology, but not everyone with amyloid-beta develops tau, and, consequently, clinical symptoms. Approximately 30% of older adults have brain amyloid but many never progress to AD, said Dr. Pascoal.

This suggests other biological processes may trigger the deleterious effects of amyloid-beta in the early stages of AD.

Finding predictive markers of early amyloid-beta–related tau pathology would help identify cognitively normal individuals who are more likely to develop AD.

Post-mortem studies show astrocyte reactivity – changes in glial cells in the brain and spinal cord because of an insult in the brain – is an early AD abnormality. Other research suggests a close link between amyloid-beta, astrocyte reactivity, and tau.

In addition, evidence suggests plasma measures of glial fibrillary acidic protein (GFAP) could be a strong proxy of astrocyte reactivity in the brain. Dr. Pascoal explained that when astrocytes are changed or become bigger, more GFAP is released.

The study included 1,016 cognitively normal individuals from three centers; some had amyloid pathology, some did not. Participants’ mean age was 69.6 years, and all were deemed negative or positive for astrocyte reactivity based on plasma GFAP levels.

Results showed amyloid-beta is associated with increased plasma phosphorylated tau only in individuals positive for astrocyte reactivity. In addition, analyses using PET scans showed an AD-like pattern of tau tangle accumulation as a function of amyloid-beta exclusively in those same individuals.
 

Early upstream event

The findings suggest abnormalities in astrocyte reactivity is an early upstream event that likely occurs prior to tau pathology, which is closely related to the development of neurodegeneration and cognitive decline.

It’s likely many types of insults or processes can lead to astrocyte reactivity, possibly including COVID, but more research in this area is needed, said Dr. Pascoal.

“Our study only looked at the consequence of having both amyloid and astrocyte reactivity; it did not elucidate what is causing either of them,” he said.

Although “we were able to have very good results” in the current study, additional studies are needed to better establish the cut-off for GFAP levels that signal progression, said Dr. Pascoal.

The effect of astrocyte reactivity on the association between amyloid-beta and tau phosphorylation was greater in men than women. Dr. Pascoal noted anti-amyloid therapies, which might be modifying the amyloid-beta-astrocyte-tau pathway, tend to have a much larger effect in men than women.

Further studies that measure amyloid-beta, tau, and GFAP biomarkers at multiple timepoints, and with long follow-up, are needed, the investigators note.

The results may have implications for clinical trials, which have increasingly focused on individuals in the earliest preclinical phases of AD. Future studies should include cognitively normal patients who are positive for both amyloid pathology and astrocyte reactivity but have no overt p-tau abnormality, said Dr. Pascoal.

This may provide a time window for interventions very early in the disease process in those at increased risk for AD-related progression.

The study did not determine whether participants with both amyloid and astrocyte reactivity will inevitably develop AD, and to do so would require a longer follow up. “Our outcome was correlation to tau in the brain, which is something we know will lead to AD.”

Although the cohort represents significant socioeconomic diversity, a main limitation of the study was that subjects were mainly White, which limits the generalizability of the findings to a more diverse population.

The study received support from the National Institute of Aging; National Heart Lung and Blood Institute; Alzheimer’s Association; Fonds de Recherche du Québec-Santé; Canadian Consortium of Neurodegeneration in Aging; Weston Brain Institute; Colin Adair Charitable Foundation; Swedish Research Council; Wallenberg Scholar; BrightFocus Foundation; Swedish Alzheimer Foundation; Swedish Brain Foundation; Agneta Prytz-Folkes & Gösta Folkes Foundation; European Union; Swedish State Support for Clinical Research; Alzheimer Drug Discovery Foundation; Bluefield Project, the Olav Thon Foundation, the Erling-Persson Family Foundation, Stiftelsen för Gamla Tjänarinnor, Hjärnfonden, Sweden; the UK Dementia Research Institute at UCL; National Academy of Neuropsychology; Fundação de Amparo a pesquisa do Rio Grande do Sul; Instituto Serrapilheira; and Hjärnfonden.

Dr. Pascoal reports no relevant financial relationships.

A version of this article first appeared on Medscape.com.

A blood biomarker that measures astrocyte reactivity may help determine who, among cognitively unimpaired older adults with amyloid-beta, will go on to develop Alzheimer’s disease (AD), new research suggests.

Investigators tested the blood of 1,000 cognitively healthy individuals with and without amyloid-beta pathology and found that only those with a combination of amyloid-beta burden and abnormal astrocyte activation subsequently progressed to AD.

“Our study argues that testing for the presence of brain amyloid along with blood biomarkers of astrocyte reactivity is the optimal screening to identify patients who are most at risk for progressing to Alzheimer’s disease,” senior investigator Tharick A. Pascoal, MD, PhD, associate professor of psychiatry and neurology, University of Pittsburgh, said in a release.

At this point, the biomarker is a research tool, but its application in clinical practice “is not very far away,” Dr. Pascoal told this news organization.

The study was published online  in Nature Medicine.  
 

Multicenter study

In AD, accumulation of amyloid-beta in the brain precedes tau pathology, but not everyone with amyloid-beta develops tau, and, consequently, clinical symptoms. Approximately 30% of older adults have brain amyloid but many never progress to AD, said Dr. Pascoal.

This suggests other biological processes may trigger the deleterious effects of amyloid-beta in the early stages of AD.

Finding predictive markers of early amyloid-beta–related tau pathology would help identify cognitively normal individuals who are more likely to develop AD.

Post-mortem studies show astrocyte reactivity – changes in glial cells in the brain and spinal cord because of an insult in the brain – is an early AD abnormality. Other research suggests a close link between amyloid-beta, astrocyte reactivity, and tau.

In addition, evidence suggests plasma measures of glial fibrillary acidic protein (GFAP) could be a strong proxy of astrocyte reactivity in the brain. Dr. Pascoal explained that when astrocytes are changed or become bigger, more GFAP is released.

The study included 1,016 cognitively normal individuals from three centers; some had amyloid pathology, some did not. Participants’ mean age was 69.6 years, and all were deemed negative or positive for astrocyte reactivity based on plasma GFAP levels.

Results showed amyloid-beta is associated with increased plasma phosphorylated tau only in individuals positive for astrocyte reactivity. In addition, analyses using PET scans showed an AD-like pattern of tau tangle accumulation as a function of amyloid-beta exclusively in those same individuals.
 

Early upstream event

The findings suggest abnormalities in astrocyte reactivity is an early upstream event that likely occurs prior to tau pathology, which is closely related to the development of neurodegeneration and cognitive decline.

It’s likely many types of insults or processes can lead to astrocyte reactivity, possibly including COVID, but more research in this area is needed, said Dr. Pascoal.

“Our study only looked at the consequence of having both amyloid and astrocyte reactivity; it did not elucidate what is causing either of them,” he said.

Although “we were able to have very good results” in the current study, additional studies are needed to better establish the cut-off for GFAP levels that signal progression, said Dr. Pascoal.

The effect of astrocyte reactivity on the association between amyloid-beta and tau phosphorylation was greater in men than women. Dr. Pascoal noted anti-amyloid therapies, which might be modifying the amyloid-beta-astrocyte-tau pathway, tend to have a much larger effect in men than women.

Further studies that measure amyloid-beta, tau, and GFAP biomarkers at multiple timepoints, and with long follow-up, are needed, the investigators note.

The results may have implications for clinical trials, which have increasingly focused on individuals in the earliest preclinical phases of AD. Future studies should include cognitively normal patients who are positive for both amyloid pathology and astrocyte reactivity but have no overt p-tau abnormality, said Dr. Pascoal.

This may provide a time window for interventions very early in the disease process in those at increased risk for AD-related progression.

The study did not determine whether participants with both amyloid and astrocyte reactivity will inevitably develop AD, and to do so would require a longer follow up. “Our outcome was correlation to tau in the brain, which is something we know will lead to AD.”

Although the cohort represents significant socioeconomic diversity, a main limitation of the study was that subjects were mainly White, which limits the generalizability of the findings to a more diverse population.

The study received support from the National Institute of Aging; National Heart Lung and Blood Institute; Alzheimer’s Association; Fonds de Recherche du Québec-Santé; Canadian Consortium of Neurodegeneration in Aging; Weston Brain Institute; Colin Adair Charitable Foundation; Swedish Research Council; Wallenberg Scholar; BrightFocus Foundation; Swedish Alzheimer Foundation; Swedish Brain Foundation; Agneta Prytz-Folkes & Gösta Folkes Foundation; European Union; Swedish State Support for Clinical Research; Alzheimer Drug Discovery Foundation; Bluefield Project, the Olav Thon Foundation, the Erling-Persson Family Foundation, Stiftelsen för Gamla Tjänarinnor, Hjärnfonden, Sweden; the UK Dementia Research Institute at UCL; National Academy of Neuropsychology; Fundação de Amparo a pesquisa do Rio Grande do Sul; Instituto Serrapilheira; and Hjärnfonden.

Dr. Pascoal reports no relevant financial relationships.

A version of this article first appeared on Medscape.com.

Publications
Publications
Topics
Article Type
Sections
Disallow All Ads
Content Gating
No Gating (article Unlocked/Free)
Alternative CME
Disqus Comments
Default
Use ProPublica
Hide sidebar & use full width
render the right sidebar.
Conference Recap Checkbox
Not Conference Recap
Clinical Edge
Display the Slideshow in this Article
Medscape Article
Display survey writer
Reuters content
Disable Inline Native ads
WebMD Article