Alzheimer's & Cognition

Neurofilament light chain (NfL), a biomarker previously measured in blood or cerebrospinal fluid and used to indicate neurodegeneration, is detectable in the vitreous humor of the eye, opening the door to a potential new method of predicting neurodegenerative disease, new research suggests.

In a study of 77 patients undergoing eye surgery for various conditions, more than 70% had more than 20 pg/mL of NfL in their vitreous humor. Higher levels of NfL were associated with higher levels of other biomarkers known to be associated with Alzheimer’s disease, including amyloid-beta and tau proteins.

“The study had three primary findings,” said lead author Manju L. Subramanian, MD, associate professor of ophthalmology at Boston University.

First, the investigators were able to detect levels of NfL in eye fluid; and second, those levels were not in any way correlated to the patient’s clinical eye condition, Dr. Subramanian said. “The third finding was that we were able to correlate those neurofilament light levels with other markers that have been known to be associated with conditions such as Alzheimer’s disease,” she noted.

For Dr. Subramanian, these findings add to the hypothesis that the eye is an extension of the brain. “This is further evidence that the eye might potentially be a proxy for neurodegenerative diseases,” she said. “So finding neurofilament light chain in the eye demonstrates that the eye is not an isolated organ, and things that happen in the body can affect the eye and vice versa.”

The findings were published online Sept. 17 in Alzheimer’s Research & Therapy.
 

Verge of clinical applicability?

Early diagnosis of neurodegenerative diseases remains a challenge, the investigators noted. As such, there is a palpable need for reliable biomarkers that can help with early diagnosis, prognostic assessment, and measurable response to treatment for Alzheimer’s disease and other neurologic disorders

Recent research has identified NfL as a potential screening tool and some researchers believe it to be on the verge of clinical applicability. In addition, increased levels of the biomarker have been observed in both the cerebrospinal fluid (CSF) and blood of individuals with neurodegeneration and neurological diseases, including Alzheimer’s disease. In previous studies, for example, elevated levels of NfL in CSF and blood have been shown to reliably distinguish between patients with Alzheimer’s disease and healthy volunteers.

Because certain eye diseases have been associated with Alzheimer’s disease in epidemiological studies, they may share common risk factors and pathological mechanisms at the molecular level, the researchers noted. In an earlier study, the current investigators found that cognitive function among patients with eye disease was significantly associated with amyloid-beta and total tau protein levels in the vitreous humor.

Given these connections, the researchers hypothesized that NfL could be identified in the vitreous humor and may be associated with other relevant biomarkers of neuronal origin. “Neurofilament light chain is detectable in the cerebrospinal fluid, but it’s never been tested for detection in the eye,” Dr. Subramanian noted.

In total, vitreous humor samples were collected from 77 unique participants (mean age, 56.2 years; 63% men) as part of the single-center, prospective, cross-sectional cohort study. The researchers aspirated 0.5 to 1.0 ml of undiluted vitreous fluid during vitrectomy, while whole blood was drawn for APOE genotyping.

Immunoassay was used to quantitatively measure for NfL, amyloid-beta, total tau, phosphorylated tau 181 (p-tau181), inflammatory cytokines, chemokines, and vascular proteins in the vitreous humor. The trial’s primary outcome measures were the detection of NfL levels in the vitreous humor, as well as its associations with other proteins.


 

Significant correlations

Results showed that 55 of the 77 participants (71.4%) had at least 20 pg/ml of NfL protein present in the vitreous humor. The median level was 68.65 pg/ml. Statistically significant associations were found between NfL levels in the vitreous humor and Abeta40, Abeta42, and total tau; higher NfL levels were associated with higher levels of all three biomarkers. On the other hand, NfL levels were not positively associated with increased vitreous levels of p-tau181.

Vitreous NfL concentration was significantly associated with inflammatory cytokines, including interleukin-15, interleukin-16, and monocyte chemoattractant protein-1, as well as vascular proteins such as vascular endothelial growth factor receptor-1, VEGF-C, vascular cell adhesion molecule-1, Tie-2, and intracellular adhesion molecular-1.

Despite these findings, NfL in the vitreous humor was not associated with patients’ clinical ophthalmic conditions or systemic diseases such as hypertension, diabetes, and hyperlipidemia. Similarly, NfL was not significantly associated with APOE genotype E2 and E4, the alleles most commonly associated with Alzheimer’s disease.

Finally, no statistically significant associations were found between NfL and Mini-Mental State Examination (MMSE) scores.
 

A “first step”

Most research currently examining the role of the eye in neurodegenerative disease is focused on retinal biomarkers imaged by optical coherence tomography, the investigators noted. Although promising, data obtained this way have yielded conflicting results.

Similarly, while the diagnostic potential of the core CSF biomarkers for AD (Abeta40, Abeta42, p-tau, and total tau) is well established, the practical utility of testing CSF for neurodegenerative diseases is limited, wrote the researchers.

As such, an additional biomarker source such as NfL–which is quantifiable and protein-based within eye fluid – has the potential to play an important role in predicting neurodegenerative disease in the clinical setting, they added.

“The holy grail of neurodegenerative-disease diagnosis is early diagnosis. Because if you can implement treatment early, you can slow down and potentially halt the progression of these diseases,” Dr. Subramanian said.

“This study is the first step toward determining if the eye could play a potential role in early diagnosis of conditions such as Alzheimer’s disease,” she added.

That said, Dr. Subramanian was quick to recognize the findings’ preliminary nature and that they do not offer reliable evidence that vitreous NfL levels definitively represent neurodegeneration. As such, the investigators called for more research to validate the association between this type of biomarker with other established biomarkers of neurodegeneration, such as those found in CSF fluid or on MRI and PET scans.

“At this point, we can’t look at eye fluid and say that people have neurodegenerative diseases,” she noted. “The other thing to consider is that vitreous humor is at the back of the eye, so it’s actually a fairly invasive procedure.

“I think the next step is to look at other types of eye fluids such as the aqueous fluid in the front of the eye, or even tear secretions, potentially,” Dr. Subramanian said.

Other study limitations include the lack of an association between NfL levels and MMSE scores and that none of the study participants were actually diagnosed with Alzheimer’s disease. Validation studies are needed to compare vitreous levels of NfL in patients with mild cognitive impairment/AD to normal controls, the investigators noted.
 

Fascinating but impractical?

Commenting on the findings, Sharon Fekrat, MD, professor of ophthalmology, Duke University, Durham, N.C., agreed that there’s potential importance of the eye in diagnosing neurodegeneration. However, she suggested that vitreous humor may not be the most expedient medium to use.

“I commend the authors for this fascinating work. But practically speaking, if we ultimately want to use intraocular fluid to diagnose Alzheimer’s and perhaps other neurodegeneration, I think aqueous humor might be more practical than the vitreous humor,” said Dr. Fekrat, who was not involved with the research. “What might be even better is to have a device that can be held against the eyeball that measures the levels of various substances inside the eyeball without having to enter the eye,” added Justin Ma, a Duke University medical student working under Dr. Fekrat’s guidance. “It could be similar technology to what’s currently used to measure blood glucose levels,” Mr. Ma added.

The study was supported in part by the National Institute of Aging. Dr. Subramanian, Dr. Fekrat, and Mr. Ma have disclosed no relevant financial relationships. Disclosures for other study authors are listed in the original article.

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

Neurofilament light chain (NfL), a biomarker previously measured in blood or cerebrospinal fluid and used to indicate neurodegeneration, is detectable in the vitreous humor of the eye, opening the door to a potential new method of predicting neurodegenerative disease, new research suggests.

In a study of 77 patients undergoing eye surgery for various conditions, more than 70% had more than 20 pg/mL of NfL in their vitreous humor. Higher levels of NfL were associated with higher levels of other biomarkers known to be associated with Alzheimer’s disease, including amyloid-beta and tau proteins.

“The study had three primary findings,” said lead author Manju L. Subramanian, MD, associate professor of ophthalmology at Boston University.

First, the investigators were able to detect levels of NfL in eye fluid; and second, those levels were not in any way correlated to the patient’s clinical eye condition, Dr. Subramanian said. “The third finding was that we were able to correlate those neurofilament light levels with other markers that have been known to be associated with conditions such as Alzheimer’s disease,” she noted.

For Dr. Subramanian, these findings add to the hypothesis that the eye is an extension of the brain. “This is further evidence that the eye might potentially be a proxy for neurodegenerative diseases,” she said. “So finding neurofilament light chain in the eye demonstrates that the eye is not an isolated organ, and things that happen in the body can affect the eye and vice versa.”

The findings were published online Sept. 17 in Alzheimer’s Research & Therapy.
 

Verge of clinical applicability?

Early diagnosis of neurodegenerative diseases remains a challenge, the investigators noted. As such, there is a palpable need for reliable biomarkers that can help with early diagnosis, prognostic assessment, and measurable response to treatment for Alzheimer’s disease and other neurologic disorders

Recent research has identified NfL as a potential screening tool and some researchers believe it to be on the verge of clinical applicability. In addition, increased levels of the biomarker have been observed in both the cerebrospinal fluid (CSF) and blood of individuals with neurodegeneration and neurological diseases, including Alzheimer’s disease. In previous studies, for example, elevated levels of NfL in CSF and blood have been shown to reliably distinguish between patients with Alzheimer’s disease and healthy volunteers.

Because certain eye diseases have been associated with Alzheimer’s disease in epidemiological studies, they may share common risk factors and pathological mechanisms at the molecular level, the researchers noted. In an earlier study, the current investigators found that cognitive function among patients with eye disease was significantly associated with amyloid-beta and total tau protein levels in the vitreous humor.

Given these connections, the researchers hypothesized that NfL could be identified in the vitreous humor and may be associated with other relevant biomarkers of neuronal origin. “Neurofilament light chain is detectable in the cerebrospinal fluid, but it’s never been tested for detection in the eye,” Dr. Subramanian noted.

In total, vitreous humor samples were collected from 77 unique participants (mean age, 56.2 years; 63% men) as part of the single-center, prospective, cross-sectional cohort study. The researchers aspirated 0.5 to 1.0 ml of undiluted vitreous fluid during vitrectomy, while whole blood was drawn for APOE genotyping.

Immunoassay was used to quantitatively measure for NfL, amyloid-beta, total tau, phosphorylated tau 181 (p-tau181), inflammatory cytokines, chemokines, and vascular proteins in the vitreous humor. The trial’s primary outcome measures were the detection of NfL levels in the vitreous humor, as well as its associations with other proteins.


 

Significant correlations

Results showed that 55 of the 77 participants (71.4%) had at least 20 pg/ml of NfL protein present in the vitreous humor. The median level was 68.65 pg/ml. Statistically significant associations were found between NfL levels in the vitreous humor and Abeta40, Abeta42, and total tau; higher NfL levels were associated with higher levels of all three biomarkers. On the other hand, NfL levels were not positively associated with increased vitreous levels of p-tau181.

Vitreous NfL concentration was significantly associated with inflammatory cytokines, including interleukin-15, interleukin-16, and monocyte chemoattractant protein-1, as well as vascular proteins such as vascular endothelial growth factor receptor-1, VEGF-C, vascular cell adhesion molecule-1, Tie-2, and intracellular adhesion molecular-1.

Despite these findings, NfL in the vitreous humor was not associated with patients’ clinical ophthalmic conditions or systemic diseases such as hypertension, diabetes, and hyperlipidemia. Similarly, NfL was not significantly associated with APOE genotype E2 and E4, the alleles most commonly associated with Alzheimer’s disease.

Finally, no statistically significant associations were found between NfL and Mini-Mental State Examination (MMSE) scores.
 

A “first step”

Most research currently examining the role of the eye in neurodegenerative disease is focused on retinal biomarkers imaged by optical coherence tomography, the investigators noted. Although promising, data obtained this way have yielded conflicting results.

Similarly, while the diagnostic potential of the core CSF biomarkers for AD (Abeta40, Abeta42, p-tau, and total tau) is well established, the practical utility of testing CSF for neurodegenerative diseases is limited, wrote the researchers.

As such, an additional biomarker source such as NfL–which is quantifiable and protein-based within eye fluid – has the potential to play an important role in predicting neurodegenerative disease in the clinical setting, they added.

“The holy grail of neurodegenerative-disease diagnosis is early diagnosis. Because if you can implement treatment early, you can slow down and potentially halt the progression of these diseases,” Dr. Subramanian said.

“This study is the first step toward determining if the eye could play a potential role in early diagnosis of conditions such as Alzheimer’s disease,” she added.

That said, Dr. Subramanian was quick to recognize the findings’ preliminary nature and that they do not offer reliable evidence that vitreous NfL levels definitively represent neurodegeneration. As such, the investigators called for more research to validate the association between this type of biomarker with other established biomarkers of neurodegeneration, such as those found in CSF fluid or on MRI and PET scans.

“At this point, we can’t look at eye fluid and say that people have neurodegenerative diseases,” she noted. “The other thing to consider is that vitreous humor is at the back of the eye, so it’s actually a fairly invasive procedure.

“I think the next step is to look at other types of eye fluids such as the aqueous fluid in the front of the eye, or even tear secretions, potentially,” Dr. Subramanian said.

Other study limitations include the lack of an association between NfL levels and MMSE scores and that none of the study participants were actually diagnosed with Alzheimer’s disease. Validation studies are needed to compare vitreous levels of NfL in patients with mild cognitive impairment/AD to normal controls, the investigators noted.
 

Fascinating but impractical?

Commenting on the findings, Sharon Fekrat, MD, professor of ophthalmology, Duke University, Durham, N.C., agreed that there’s potential importance of the eye in diagnosing neurodegeneration. However, she suggested that vitreous humor may not be the most expedient medium to use.

“I commend the authors for this fascinating work. But practically speaking, if we ultimately want to use intraocular fluid to diagnose Alzheimer’s and perhaps other neurodegeneration, I think aqueous humor might be more practical than the vitreous humor,” said Dr. Fekrat, who was not involved with the research. “What might be even better is to have a device that can be held against the eyeball that measures the levels of various substances inside the eyeball without having to enter the eye,” added Justin Ma, a Duke University medical student working under Dr. Fekrat’s guidance. “It could be similar technology to what’s currently used to measure blood glucose levels,” Mr. Ma added.

The study was supported in part by the National Institute of Aging. Dr. Subramanian, Dr. Fekrat, and Mr. Ma have disclosed no relevant financial relationships. Disclosures for other study authors are listed in the original article.

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

Neurofilament light chain (NfL), a biomarker previously measured in blood or cerebrospinal fluid and used to indicate neurodegeneration, is detectable in the vitreous humor of the eye, opening the door to a potential new method of predicting neurodegenerative disease, new research suggests.

In a study of 77 patients undergoing eye surgery for various conditions, more than 70% had more than 20 pg/mL of NfL in their vitreous humor. Higher levels of NfL were associated with higher levels of other biomarkers known to be associated with Alzheimer’s disease, including amyloid-beta and tau proteins.

“The study had three primary findings,” said lead author Manju L. Subramanian, MD, associate professor of ophthalmology at Boston University.

First, the investigators were able to detect levels of NfL in eye fluid; and second, those levels were not in any way correlated to the patient’s clinical eye condition, Dr. Subramanian said. “The third finding was that we were able to correlate those neurofilament light levels with other markers that have been known to be associated with conditions such as Alzheimer’s disease,” she noted.

For Dr. Subramanian, these findings add to the hypothesis that the eye is an extension of the brain. “This is further evidence that the eye might potentially be a proxy for neurodegenerative diseases,” she said. “So finding neurofilament light chain in the eye demonstrates that the eye is not an isolated organ, and things that happen in the body can affect the eye and vice versa.”

The findings were published online Sept. 17 in Alzheimer’s Research & Therapy.
 

Verge of clinical applicability?

Early diagnosis of neurodegenerative diseases remains a challenge, the investigators noted. As such, there is a palpable need for reliable biomarkers that can help with early diagnosis, prognostic assessment, and measurable response to treatment for Alzheimer’s disease and other neurologic disorders

Recent research has identified NfL as a potential screening tool and some researchers believe it to be on the verge of clinical applicability. In addition, increased levels of the biomarker have been observed in both the cerebrospinal fluid (CSF) and blood of individuals with neurodegeneration and neurological diseases, including Alzheimer’s disease. In previous studies, for example, elevated levels of NfL in CSF and blood have been shown to reliably distinguish between patients with Alzheimer’s disease and healthy volunteers.

Because certain eye diseases have been associated with Alzheimer’s disease in epidemiological studies, they may share common risk factors and pathological mechanisms at the molecular level, the researchers noted. In an earlier study, the current investigators found that cognitive function among patients with eye disease was significantly associated with amyloid-beta and total tau protein levels in the vitreous humor.

Given these connections, the researchers hypothesized that NfL could be identified in the vitreous humor and may be associated with other relevant biomarkers of neuronal origin. “Neurofilament light chain is detectable in the cerebrospinal fluid, but it’s never been tested for detection in the eye,” Dr. Subramanian noted.

In total, vitreous humor samples were collected from 77 unique participants (mean age, 56.2 years; 63% men) as part of the single-center, prospective, cross-sectional cohort study. The researchers aspirated 0.5 to 1.0 ml of undiluted vitreous fluid during vitrectomy, while whole blood was drawn for APOE genotyping.

Immunoassay was used to quantitatively measure for NfL, amyloid-beta, total tau, phosphorylated tau 181 (p-tau181), inflammatory cytokines, chemokines, and vascular proteins in the vitreous humor. The trial’s primary outcome measures were the detection of NfL levels in the vitreous humor, as well as its associations with other proteins.


 

Significant correlations

Results showed that 55 of the 77 participants (71.4%) had at least 20 pg/ml of NfL protein present in the vitreous humor. The median level was 68.65 pg/ml. Statistically significant associations were found between NfL levels in the vitreous humor and Abeta40, Abeta42, and total tau; higher NfL levels were associated with higher levels of all three biomarkers. On the other hand, NfL levels were not positively associated with increased vitreous levels of p-tau181.

Vitreous NfL concentration was significantly associated with inflammatory cytokines, including interleukin-15, interleukin-16, and monocyte chemoattractant protein-1, as well as vascular proteins such as vascular endothelial growth factor receptor-1, VEGF-C, vascular cell adhesion molecule-1, Tie-2, and intracellular adhesion molecular-1.

Despite these findings, NfL in the vitreous humor was not associated with patients’ clinical ophthalmic conditions or systemic diseases such as hypertension, diabetes, and hyperlipidemia. Similarly, NfL was not significantly associated with APOE genotype E2 and E4, the alleles most commonly associated with Alzheimer’s disease.

Finally, no statistically significant associations were found between NfL and Mini-Mental State Examination (MMSE) scores.
 

A “first step”

Most research currently examining the role of the eye in neurodegenerative disease is focused on retinal biomarkers imaged by optical coherence tomography, the investigators noted. Although promising, data obtained this way have yielded conflicting results.

Similarly, while the diagnostic potential of the core CSF biomarkers for AD (Abeta40, Abeta42, p-tau, and total tau) is well established, the practical utility of testing CSF for neurodegenerative diseases is limited, wrote the researchers.

As such, an additional biomarker source such as NfL–which is quantifiable and protein-based within eye fluid – has the potential to play an important role in predicting neurodegenerative disease in the clinical setting, they added.

“The holy grail of neurodegenerative-disease diagnosis is early diagnosis. Because if you can implement treatment early, you can slow down and potentially halt the progression of these diseases,” Dr. Subramanian said.

“This study is the first step toward determining if the eye could play a potential role in early diagnosis of conditions such as Alzheimer’s disease,” she added.

That said, Dr. Subramanian was quick to recognize the findings’ preliminary nature and that they do not offer reliable evidence that vitreous NfL levels definitively represent neurodegeneration. As such, the investigators called for more research to validate the association between this type of biomarker with other established biomarkers of neurodegeneration, such as those found in CSF fluid or on MRI and PET scans.

“At this point, we can’t look at eye fluid and say that people have neurodegenerative diseases,” she noted. “The other thing to consider is that vitreous humor is at the back of the eye, so it’s actually a fairly invasive procedure.

“I think the next step is to look at other types of eye fluids such as the aqueous fluid in the front of the eye, or even tear secretions, potentially,” Dr. Subramanian said.

Other study limitations include the lack of an association between NfL levels and MMSE scores and that none of the study participants were actually diagnosed with Alzheimer’s disease. Validation studies are needed to compare vitreous levels of NfL in patients with mild cognitive impairment/AD to normal controls, the investigators noted.
 

Fascinating but impractical?

Commenting on the findings, Sharon Fekrat, MD, professor of ophthalmology, Duke University, Durham, N.C., agreed that there’s potential importance of the eye in diagnosing neurodegeneration. However, she suggested that vitreous humor may not be the most expedient medium to use.

“I commend the authors for this fascinating work. But practically speaking, if we ultimately want to use intraocular fluid to diagnose Alzheimer’s and perhaps other neurodegeneration, I think aqueous humor might be more practical than the vitreous humor,” said Dr. Fekrat, who was not involved with the research. “What might be even better is to have a device that can be held against the eyeball that measures the levels of various substances inside the eyeball without having to enter the eye,” added Justin Ma, a Duke University medical student working under Dr. Fekrat’s guidance. “It could be similar technology to what’s currently used to measure blood glucose levels,” Mr. Ma added.

The study was supported in part by the National Institute of Aging. Dr. Subramanian, Dr. Fekrat, and Mr. Ma have disclosed no relevant financial relationships. Disclosures for other study authors are listed in the original article.

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

“Diabetes drugs may cure dementia.”

How many of you saw that headline (or similar) earlier this year, before the pandemic took over the news?

My patients sure did. And their families. And people who aren’t my patients but found my name in the phone book after reading the headline. Of course, all of them wanted to be put on diabetes drugs to cure or prevent dementia, like the headline said.

The key word in the headline, though, is “may,” which promises nothing. Not only that, but if you actually read the story you quickly learn that the study was done in people who have diabetes, and lowers the risk of dementia.

While there could, possibly, maybe, be something interesting underlying the finding, it could also be as simple as controlling your vascular risk factors, which is good for you.

Of course, the lay public rarely reads past the first few paragraphs. To the nonmedical reader, the cure has been found, and they want it. Where’s the phone?

I’m sure this is good for business in the lay press. People see the headline and don’t bother to read the story but they immediately forward it to friends, family, Facebook and Twitter groups ... That’s a lot of clicks and advertising.

The study might genuinely mean something, but that’s a big “might.” A lot of common drugs have been hyped as being treatments for dementia – statins, ibuprofen, estrogen patches, to name a few – only to quietly die in larger controlled trials. But that part of the research never seems to make the news, only the first small, preliminary, results.

People want us to find answers. Isn’t that what doctors and scientists are supposed to do? I understand that. But by the same token, it’s generally not that easy. And if we try to explain the difficulty, then we’re often accused of being part of “them,” some secretive group trying to hide inexpensive miracle cures from the public to keep Big Pharma in business.

The real truth is that a lot of things initially seem to be good (or bad) and these things change like the seasons. Everyone should be on daily aspirin, oops, maybe not. Saccharine causes bladder cancer, wait, I take that back. And so on.

While diabetes treatments may indeed lower the risk of dementia in patients who have diabetes, people too often extrapolate that to everyone, and wishfully think the headline says “does cure” instead of “may cure.”

I have nothing against research. Everything we have now came from it. But preliminary results are just that – preliminary. Like many other things in this world, they have to be taken with a grain of salt.

Dr. Block has a solo neurology practice in Scottsdale, Arizona. He has no relevant disclosures.

“Diabetes drugs may cure dementia.”

How many of you saw that headline (or similar) earlier this year, before the pandemic took over the news?

My patients sure did. And their families. And people who aren’t my patients but found my name in the phone book after reading the headline. Of course, all of them wanted to be put on diabetes drugs to cure or prevent dementia, like the headline said.

The key word in the headline, though, is “may,” which promises nothing. Not only that, but if you actually read the story you quickly learn that the study was done in people who have diabetes, and lowers the risk of dementia.

While there could, possibly, maybe, be something interesting underlying the finding, it could also be as simple as controlling your vascular risk factors, which is good for you.

Of course, the lay public rarely reads past the first few paragraphs. To the nonmedical reader, the cure has been found, and they want it. Where’s the phone?

I’m sure this is good for business in the lay press. People see the headline and don’t bother to read the story but they immediately forward it to friends, family, Facebook and Twitter groups ... That’s a lot of clicks and advertising.

The study might genuinely mean something, but that’s a big “might.” A lot of common drugs have been hyped as being treatments for dementia – statins, ibuprofen, estrogen patches, to name a few – only to quietly die in larger controlled trials. But that part of the research never seems to make the news, only the first small, preliminary, results.

People want us to find answers. Isn’t that what doctors and scientists are supposed to do? I understand that. But by the same token, it’s generally not that easy. And if we try to explain the difficulty, then we’re often accused of being part of “them,” some secretive group trying to hide inexpensive miracle cures from the public to keep Big Pharma in business.

The real truth is that a lot of things initially seem to be good (or bad) and these things change like the seasons. Everyone should be on daily aspirin, oops, maybe not. Saccharine causes bladder cancer, wait, I take that back. And so on.

While diabetes treatments may indeed lower the risk of dementia in patients who have diabetes, people too often extrapolate that to everyone, and wishfully think the headline says “does cure” instead of “may cure.”

I have nothing against research. Everything we have now came from it. But preliminary results are just that – preliminary. Like many other things in this world, they have to be taken with a grain of salt.

Dr. Block has a solo neurology practice in Scottsdale, Arizona. He has no relevant disclosures.

“Diabetes drugs may cure dementia.”

How many of you saw that headline (or similar) earlier this year, before the pandemic took over the news?

My patients sure did. And their families. And people who aren’t my patients but found my name in the phone book after reading the headline. Of course, all of them wanted to be put on diabetes drugs to cure or prevent dementia, like the headline said.

The key word in the headline, though, is “may,” which promises nothing. Not only that, but if you actually read the story you quickly learn that the study was done in people who have diabetes, and lowers the risk of dementia.

While there could, possibly, maybe, be something interesting underlying the finding, it could also be as simple as controlling your vascular risk factors, which is good for you.

Of course, the lay public rarely reads past the first few paragraphs. To the nonmedical reader, the cure has been found, and they want it. Where’s the phone?

I’m sure this is good for business in the lay press. People see the headline and don’t bother to read the story but they immediately forward it to friends, family, Facebook and Twitter groups ... That’s a lot of clicks and advertising.

The study might genuinely mean something, but that’s a big “might.” A lot of common drugs have been hyped as being treatments for dementia – statins, ibuprofen, estrogen patches, to name a few – only to quietly die in larger controlled trials. But that part of the research never seems to make the news, only the first small, preliminary, results.

People want us to find answers. Isn’t that what doctors and scientists are supposed to do? I understand that. But by the same token, it’s generally not that easy. And if we try to explain the difficulty, then we’re often accused of being part of “them,” some secretive group trying to hide inexpensive miracle cures from the public to keep Big Pharma in business.

The real truth is that a lot of things initially seem to be good (or bad) and these things change like the seasons. Everyone should be on daily aspirin, oops, maybe not. Saccharine causes bladder cancer, wait, I take that back. And so on.

While diabetes treatments may indeed lower the risk of dementia in patients who have diabetes, people too often extrapolate that to everyone, and wishfully think the headline says “does cure” instead of “may cure.”

I have nothing against research. Everything we have now came from it. But preliminary results are just that – preliminary. Like many other things in this world, they have to be taken with a grain of salt.

Dr. Block has a solo neurology practice in Scottsdale, Arizona. He has no relevant disclosures.

A psychiatric diagnosis for patients hospitalized with COVID-19 is linked to a significantly increased risk for death, new research shows.

Investigators found that patients who were hospitalized with COVID-19 and who had been diagnosed with a psychiatric disorder had a 50% increased risk for a COVID-related death in comparison with COVID-19 patients who had not received a psychiatric diagnosis.

“Pay attention and potentially address/treat a prior psychiatric diagnosis if a patient is hospitalized for COVID-19, as this risk factor can impact the patient’s outcome – death – while in the hospital,” lead investigator Luming Li, MD, assistant professor of psychiatry and associate medical director of quality improvement, Yale New Haven Psychiatric Hospital, New Haven, Conn., said in an interview.

The study was published Sept. 30 in JAMA Network Open.
 

Negative impact

“We were interested to learn more about the impact of psychiatric diagnoses on COVID-19 mortality, as prior large cohort studies included neurological and other medical conditions but did not assess for a priori psychiatric diagnoses,” said Dr. Li.

“We know from the literature that prior psychiatric diagnoses can have a negative impact on the outcomes of medical conditions, and therefore we tested our hypothesis on a cohort of patients who were hospitalized with COVID-19,” she added.

To investigate, the researchers analyzed data on 1,685 patients hospitalized with COVID-19 between Feb. 15 and April 25, 2020, and whose cases were followed to May 27, 2020. The patients (mean age, 65.2 years; 52.6% men) were drawn from the Yale New Haven Health System.

The median follow-up period was 8 days (interquartile range, 4-16 days) .

Of these patients, 28% had received a psychiatric diagnosis prior to hospitalization. The patients with psychiatric disorders were significantly older and were more likely to be women, White, non-Hispanic, and to have medical comorbidities (i.e., cancer, cerebrovascular disease, heart failure, diabetes, kidney disease, liver disease, MI, and/or HIV).

Psychiatric diagnoses were defined in accordance with ICD codes that included mental and behavioral health, Alzheimer’s disease, and self-injury.
 

Vulnerability to stress

In the unadjusted model, the risk for COVID-19–related hospital death was greater for those who had received any psychiatric diagnosis, compared with those had not (hazard ratio, 2.3; 95% CI, 1.8-2.9; P < .001).

In the adjusted model that controlled for demographic characteristics, other medical comorbidities, and hospital location, the mortality risk somewhat decreased but still remained significantly higher (HR, 1.5; 95% CI, 1.1-1.9; P = .003).

Dr. Li noted a number of factors that might account for the higher mortality rate among psychiatric patients who had COVID-19 in comparison with COVD-19 patients who did not have a psychiatric disorder. These included “potential inflammatory and stress responses that the body experiences related to prior psychiatric conditions,” she said.

Having been previously diagnosed with a psychiatric disorder may also “reflect existing neurochemical differences, compared to those who do not have a prior psychiatric diagnosis, [and] these differences may make the population with the prior psychiatric diagnosis more vulnerable to respond to an acute stressor such as COVID-19,” she said.
 

Quality care

Harold Pincus, MD, professor and vice chair of the department of psychiatry at Columbia University, New York, said it “adds to the fairly well-known and well-established phenomenon that people with mental illnesses have a high risk of all sorts of morbidity and mortality for non–mental health conditions.”

The researchers “adjusted for various expected [mortality] risks that would be independent of the presence of COVID-19,” so “there was something else going on associated with mortality,” said Dr. Pincus, who is also codirector of the Irving Institute for Clinical and Translation Research. He was not involved with the study.

Beyond the possibility of “some basic immunologic process affected by the presence of a mental disorder,” it is possible that the vulnerability is “related to access to quality care for the comorbid general condition that is not being effectively treated,” he said.

“The take-home message is that people with mental disorders are at higher risk for death, and we need to make sure that, irrespective of COVID-19, they get adequate preventive and chronic-disease care, which would be the most effective way to intervene and protect the impact of a serious disease like COVID-19,” he noted. This would include being appropriately vaccinated and receiving preventive healthcare to reduce smoking and encourage weight loss.

No source of funding for the study was provided. Dr. Li reported receiving grants from a Health and Aging Policy Fellowship during the conduct of the study. Dr. Pincus reported no relevant financial relationships.

A psychiatric diagnosis for patients hospitalized with COVID-19 is linked to a significantly increased risk for death, new research shows.

Investigators found that patients who were hospitalized with COVID-19 and who had been diagnosed with a psychiatric disorder had a 50% increased risk for a COVID-related death in comparison with COVID-19 patients who had not received a psychiatric diagnosis.

“Pay attention and potentially address/treat a prior psychiatric diagnosis if a patient is hospitalized for COVID-19, as this risk factor can impact the patient’s outcome – death – while in the hospital,” lead investigator Luming Li, MD, assistant professor of psychiatry and associate medical director of quality improvement, Yale New Haven Psychiatric Hospital, New Haven, Conn., said in an interview.

The study was published Sept. 30 in JAMA Network Open.
 

Negative impact

“We were interested to learn more about the impact of psychiatric diagnoses on COVID-19 mortality, as prior large cohort studies included neurological and other medical conditions but did not assess for a priori psychiatric diagnoses,” said Dr. Li.

“We know from the literature that prior psychiatric diagnoses can have a negative impact on the outcomes of medical conditions, and therefore we tested our hypothesis on a cohort of patients who were hospitalized with COVID-19,” she added.

To investigate, the researchers analyzed data on 1,685 patients hospitalized with COVID-19 between Feb. 15 and April 25, 2020, and whose cases were followed to May 27, 2020. The patients (mean age, 65.2 years; 52.6% men) were drawn from the Yale New Haven Health System.

The median follow-up period was 8 days (interquartile range, 4-16 days) .

Of these patients, 28% had received a psychiatric diagnosis prior to hospitalization. The patients with psychiatric disorders were significantly older and were more likely to be women, White, non-Hispanic, and to have medical comorbidities (i.e., cancer, cerebrovascular disease, heart failure, diabetes, kidney disease, liver disease, MI, and/or HIV).

Psychiatric diagnoses were defined in accordance with ICD codes that included mental and behavioral health, Alzheimer’s disease, and self-injury.
 

Vulnerability to stress

In the unadjusted model, the risk for COVID-19–related hospital death was greater for those who had received any psychiatric diagnosis, compared with those had not (hazard ratio, 2.3; 95% CI, 1.8-2.9; P < .001).

In the adjusted model that controlled for demographic characteristics, other medical comorbidities, and hospital location, the mortality risk somewhat decreased but still remained significantly higher (HR, 1.5; 95% CI, 1.1-1.9; P = .003).

Dr. Li noted a number of factors that might account for the higher mortality rate among psychiatric patients who had COVID-19 in comparison with COVD-19 patients who did not have a psychiatric disorder. These included “potential inflammatory and stress responses that the body experiences related to prior psychiatric conditions,” she said.

Having been previously diagnosed with a psychiatric disorder may also “reflect existing neurochemical differences, compared to those who do not have a prior psychiatric diagnosis, [and] these differences may make the population with the prior psychiatric diagnosis more vulnerable to respond to an acute stressor such as COVID-19,” she said.
 

Quality care

Harold Pincus, MD, professor and vice chair of the department of psychiatry at Columbia University, New York, said it “adds to the fairly well-known and well-established phenomenon that people with mental illnesses have a high risk of all sorts of morbidity and mortality for non–mental health conditions.”

The researchers “adjusted for various expected [mortality] risks that would be independent of the presence of COVID-19,” so “there was something else going on associated with mortality,” said Dr. Pincus, who is also codirector of the Irving Institute for Clinical and Translation Research. He was not involved with the study.

Beyond the possibility of “some basic immunologic process affected by the presence of a mental disorder,” it is possible that the vulnerability is “related to access to quality care for the comorbid general condition that is not being effectively treated,” he said.

“The take-home message is that people with mental disorders are at higher risk for death, and we need to make sure that, irrespective of COVID-19, they get adequate preventive and chronic-disease care, which would be the most effective way to intervene and protect the impact of a serious disease like COVID-19,” he noted. This would include being appropriately vaccinated and receiving preventive healthcare to reduce smoking and encourage weight loss.

No source of funding for the study was provided. Dr. Li reported receiving grants from a Health and Aging Policy Fellowship during the conduct of the study. Dr. Pincus reported no relevant financial relationships.

A psychiatric diagnosis for patients hospitalized with COVID-19 is linked to a significantly increased risk for death, new research shows.

Investigators found that patients who were hospitalized with COVID-19 and who had been diagnosed with a psychiatric disorder had a 50% increased risk for a COVID-related death in comparison with COVID-19 patients who had not received a psychiatric diagnosis.

“Pay attention and potentially address/treat a prior psychiatric diagnosis if a patient is hospitalized for COVID-19, as this risk factor can impact the patient’s outcome – death – while in the hospital,” lead investigator Luming Li, MD, assistant professor of psychiatry and associate medical director of quality improvement, Yale New Haven Psychiatric Hospital, New Haven, Conn., said in an interview.

The study was published Sept. 30 in JAMA Network Open.
 

Negative impact

“We were interested to learn more about the impact of psychiatric diagnoses on COVID-19 mortality, as prior large cohort studies included neurological and other medical conditions but did not assess for a priori psychiatric diagnoses,” said Dr. Li.

“We know from the literature that prior psychiatric diagnoses can have a negative impact on the outcomes of medical conditions, and therefore we tested our hypothesis on a cohort of patients who were hospitalized with COVID-19,” she added.

To investigate, the researchers analyzed data on 1,685 patients hospitalized with COVID-19 between Feb. 15 and April 25, 2020, and whose cases were followed to May 27, 2020. The patients (mean age, 65.2 years; 52.6% men) were drawn from the Yale New Haven Health System.

The median follow-up period was 8 days (interquartile range, 4-16 days) .

Of these patients, 28% had received a psychiatric diagnosis prior to hospitalization. The patients with psychiatric disorders were significantly older and were more likely to be women, White, non-Hispanic, and to have medical comorbidities (i.e., cancer, cerebrovascular disease, heart failure, diabetes, kidney disease, liver disease, MI, and/or HIV).

Psychiatric diagnoses were defined in accordance with ICD codes that included mental and behavioral health, Alzheimer’s disease, and self-injury.
 

Vulnerability to stress

In the unadjusted model, the risk for COVID-19–related hospital death was greater for those who had received any psychiatric diagnosis, compared with those had not (hazard ratio, 2.3; 95% CI, 1.8-2.9; P < .001).

In the adjusted model that controlled for demographic characteristics, other medical comorbidities, and hospital location, the mortality risk somewhat decreased but still remained significantly higher (HR, 1.5; 95% CI, 1.1-1.9; P = .003).

Dr. Li noted a number of factors that might account for the higher mortality rate among psychiatric patients who had COVID-19 in comparison with COVD-19 patients who did not have a psychiatric disorder. These included “potential inflammatory and stress responses that the body experiences related to prior psychiatric conditions,” she said.

Having been previously diagnosed with a psychiatric disorder may also “reflect existing neurochemical differences, compared to those who do not have a prior psychiatric diagnosis, [and] these differences may make the population with the prior psychiatric diagnosis more vulnerable to respond to an acute stressor such as COVID-19,” she said.
 

Quality care

Harold Pincus, MD, professor and vice chair of the department of psychiatry at Columbia University, New York, said it “adds to the fairly well-known and well-established phenomenon that people with mental illnesses have a high risk of all sorts of morbidity and mortality for non–mental health conditions.”

The researchers “adjusted for various expected [mortality] risks that would be independent of the presence of COVID-19,” so “there was something else going on associated with mortality,” said Dr. Pincus, who is also codirector of the Irving Institute for Clinical and Translation Research. He was not involved with the study.

Beyond the possibility of “some basic immunologic process affected by the presence of a mental disorder,” it is possible that the vulnerability is “related to access to quality care for the comorbid general condition that is not being effectively treated,” he said.

“The take-home message is that people with mental disorders are at higher risk for death, and we need to make sure that, irrespective of COVID-19, they get adequate preventive and chronic-disease care, which would be the most effective way to intervene and protect the impact of a serious disease like COVID-19,” he noted. This would include being appropriately vaccinated and receiving preventive healthcare to reduce smoking and encourage weight loss.

No source of funding for the study was provided. Dr. Li reported receiving grants from a Health and Aging Policy Fellowship during the conduct of the study. Dr. Pincus reported no relevant financial relationships.

Over-the-counter (OTC) supplements advertised to improve memory and cognitive function may contain unapproved pharmaceutical drugs in potentially dangerous combinations and dosages, new research shows.

“Americans spend more than $600 million on over-the-counter smart pills every year, but we know very little about what is actually in these products,” said Pieter A. Cohen, MD, of the department of medicine at Harvard Medical School, Boston.

“Finding new combinations of drugs [that have] never been tested in humans in over-the-counter brain-boosting supplements is alarming,” said Dr. Cohen.

The study was published online Sept. 23 in Neurology Clinical Practice, a journal of the American Academy of Neurology.
 

Buyer beware

In a search of the National Institutes of Health Dietary Supplement Label Database and the Natural Medicines Database, Dr. Cohen and colleagues identified 10 supplements labeled as containing omberacetam, aniracetam, phenylpiracetam, or oxiracetam – four analogues of piracetam that are not approved for human use in the United States. Piracetam is also not approved in the United States.

In these 10 products, five unapproved drugs were discovered – omberacetam and aniracetam along with three others (phenibut, vinpocetine and picamilon).

By consuming the recommended serving size of these products, consumers could be exposed to pharmaceutical-level dosages of drugs including a maximum of 40.6 mg omberacetam (typical pharmacologic dose 10 mg), 502 mg of aniracetam (typical pharmacologic dose 200-750 mg), 15.4 mg of phenibut (typical dose 250-500 mg), 4.3 mg of vinpocetine (typical dose 5-40 mg), and 90.1 mg of picamilon (typical  dose 50-200 mg), the study team reported.

Several drugs detected in these “smart” pills were not declared on the label, and several declared drugs were not detected in the products. For those products with drug quantities provided on the labels, three-quarters of declared quantities were inaccurate.

Consumers who use these cognitive enhancers could be exposed to amounts of these unapproved drugs that are fourfold greater than pharmaceutical dosages and combinations never tested in humans, the study team says. One product combined three different unapproved drugs and another product contained four different drugs.

“We have previously shown that these products may contain individual foreign drugs, but in our new study we found complex combinations of foreign drugs, up to four different drugs in a single product,” Dr. Cohen said.

The presence of these unapproved drugs in supplements, including at supratherapeutic dosages, suggests “serious risks to consumers and weaknesses in the regulatory framework under which supplements are permitted to be introduced in the U.S.,” Dr. Cohen and colleagues wrote.

“We should counsel our patients to avoid over-the-counter ‘smart pills’ until we can be assured as to the safety and efficacy of these products,” said Dr. Cohen.
 

Concerning findings

Glen R. Finney, MD, director of the Geisinger Memory and Cognition Program at the Neuroscience Institute, Geisinger Health System, Wilkes-Barre, Penn., said in an interview that two findings are very concerning: the lack of listed ingredients and especially the presence of unlisted drugs at active levels. “What if a person has a sensitivity or allergy to one of the unlisted drugs? This is a safety issue and a consumer issue,” Dr. Finney said.

Despite being widely promoted on television, “over-the-counter supplements are not regulated, so there is no guarantee that they contain what they claim, and there is very little evidence that they help memory and thinking even when they do have the ingredients they claim in the supplement,” said Dr. Finney,

“The best way to stay safe and help memory and thinking is to speak with your health providers about proven treatments that have good safety regulation, so you know what you’re getting, and what you’re getting from it,” Dr. Finney advised.

The study had no targeted funding. Dr. Cohen has collaborated in research with NSF International, received compensation from UptoDate, and received research support from Consumers Union and PEW Charitable Trusts. Dr. Finney has no relevant disclosures.

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

Over-the-counter (OTC) supplements advertised to improve memory and cognitive function may contain unapproved pharmaceutical drugs in potentially dangerous combinations and dosages, new research shows.

“Americans spend more than $600 million on over-the-counter smart pills every year, but we know very little about what is actually in these products,” said Pieter A. Cohen, MD, of the department of medicine at Harvard Medical School, Boston.

“Finding new combinations of drugs [that have] never been tested in humans in over-the-counter brain-boosting supplements is alarming,” said Dr. Cohen.

The study was published online Sept. 23 in Neurology Clinical Practice, a journal of the American Academy of Neurology.
 

Buyer beware

In a search of the National Institutes of Health Dietary Supplement Label Database and the Natural Medicines Database, Dr. Cohen and colleagues identified 10 supplements labeled as containing omberacetam, aniracetam, phenylpiracetam, or oxiracetam – four analogues of piracetam that are not approved for human use in the United States. Piracetam is also not approved in the United States.

In these 10 products, five unapproved drugs were discovered – omberacetam and aniracetam along with three others (phenibut, vinpocetine and picamilon).

By consuming the recommended serving size of these products, consumers could be exposed to pharmaceutical-level dosages of drugs including a maximum of 40.6 mg omberacetam (typical pharmacologic dose 10 mg), 502 mg of aniracetam (typical pharmacologic dose 200-750 mg), 15.4 mg of phenibut (typical dose 250-500 mg), 4.3 mg of vinpocetine (typical dose 5-40 mg), and 90.1 mg of picamilon (typical  dose 50-200 mg), the study team reported.

Several drugs detected in these “smart” pills were not declared on the label, and several declared drugs were not detected in the products. For those products with drug quantities provided on the labels, three-quarters of declared quantities were inaccurate.

Consumers who use these cognitive enhancers could be exposed to amounts of these unapproved drugs that are fourfold greater than pharmaceutical dosages and combinations never tested in humans, the study team says. One product combined three different unapproved drugs and another product contained four different drugs.

“We have previously shown that these products may contain individual foreign drugs, but in our new study we found complex combinations of foreign drugs, up to four different drugs in a single product,” Dr. Cohen said.

The presence of these unapproved drugs in supplements, including at supratherapeutic dosages, suggests “serious risks to consumers and weaknesses in the regulatory framework under which supplements are permitted to be introduced in the U.S.,” Dr. Cohen and colleagues wrote.

“We should counsel our patients to avoid over-the-counter ‘smart pills’ until we can be assured as to the safety and efficacy of these products,” said Dr. Cohen.
 

Concerning findings

Glen R. Finney, MD, director of the Geisinger Memory and Cognition Program at the Neuroscience Institute, Geisinger Health System, Wilkes-Barre, Penn., said in an interview that two findings are very concerning: the lack of listed ingredients and especially the presence of unlisted drugs at active levels. “What if a person has a sensitivity or allergy to one of the unlisted drugs? This is a safety issue and a consumer issue,” Dr. Finney said.

Despite being widely promoted on television, “over-the-counter supplements are not regulated, so there is no guarantee that they contain what they claim, and there is very little evidence that they help memory and thinking even when they do have the ingredients they claim in the supplement,” said Dr. Finney,

“The best way to stay safe and help memory and thinking is to speak with your health providers about proven treatments that have good safety regulation, so you know what you’re getting, and what you’re getting from it,” Dr. Finney advised.

The study had no targeted funding. Dr. Cohen has collaborated in research with NSF International, received compensation from UptoDate, and received research support from Consumers Union and PEW Charitable Trusts. Dr. Finney has no relevant disclosures.

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

Over-the-counter (OTC) supplements advertised to improve memory and cognitive function may contain unapproved pharmaceutical drugs in potentially dangerous combinations and dosages, new research shows.

“Americans spend more than $600 million on over-the-counter smart pills every year, but we know very little about what is actually in these products,” said Pieter A. Cohen, MD, of the department of medicine at Harvard Medical School, Boston.

“Finding new combinations of drugs [that have] never been tested in humans in over-the-counter brain-boosting supplements is alarming,” said Dr. Cohen.

The study was published online Sept. 23 in Neurology Clinical Practice, a journal of the American Academy of Neurology.
 

Buyer beware

In a search of the National Institutes of Health Dietary Supplement Label Database and the Natural Medicines Database, Dr. Cohen and colleagues identified 10 supplements labeled as containing omberacetam, aniracetam, phenylpiracetam, or oxiracetam – four analogues of piracetam that are not approved for human use in the United States. Piracetam is also not approved in the United States.

In these 10 products, five unapproved drugs were discovered – omberacetam and aniracetam along with three others (phenibut, vinpocetine and picamilon).

By consuming the recommended serving size of these products, consumers could be exposed to pharmaceutical-level dosages of drugs including a maximum of 40.6 mg omberacetam (typical pharmacologic dose 10 mg), 502 mg of aniracetam (typical pharmacologic dose 200-750 mg), 15.4 mg of phenibut (typical dose 250-500 mg), 4.3 mg of vinpocetine (typical dose 5-40 mg), and 90.1 mg of picamilon (typical  dose 50-200 mg), the study team reported.

Several drugs detected in these “smart” pills were not declared on the label, and several declared drugs were not detected in the products. For those products with drug quantities provided on the labels, three-quarters of declared quantities were inaccurate.

Consumers who use these cognitive enhancers could be exposed to amounts of these unapproved drugs that are fourfold greater than pharmaceutical dosages and combinations never tested in humans, the study team says. One product combined three different unapproved drugs and another product contained four different drugs.

“We have previously shown that these products may contain individual foreign drugs, but in our new study we found complex combinations of foreign drugs, up to four different drugs in a single product,” Dr. Cohen said.

The presence of these unapproved drugs in supplements, including at supratherapeutic dosages, suggests “serious risks to consumers and weaknesses in the regulatory framework under which supplements are permitted to be introduced in the U.S.,” Dr. Cohen and colleagues wrote.

“We should counsel our patients to avoid over-the-counter ‘smart pills’ until we can be assured as to the safety and efficacy of these products,” said Dr. Cohen.
 

Concerning findings

Glen R. Finney, MD, director of the Geisinger Memory and Cognition Program at the Neuroscience Institute, Geisinger Health System, Wilkes-Barre, Penn., said in an interview that two findings are very concerning: the lack of listed ingredients and especially the presence of unlisted drugs at active levels. “What if a person has a sensitivity or allergy to one of the unlisted drugs? This is a safety issue and a consumer issue,” Dr. Finney said.

Despite being widely promoted on television, “over-the-counter supplements are not regulated, so there is no guarantee that they contain what they claim, and there is very little evidence that they help memory and thinking even when they do have the ingredients they claim in the supplement,” said Dr. Finney,

“The best way to stay safe and help memory and thinking is to speak with your health providers about proven treatments that have good safety regulation, so you know what you’re getting, and what you’re getting from it,” Dr. Finney advised.

The study had no targeted funding. Dr. Cohen has collaborated in research with NSF International, received compensation from UptoDate, and received research support from Consumers Union and PEW Charitable Trusts. Dr. Finney has no relevant disclosures.

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

Persons with type 2 diabetes may be at heightened risk for developing vascular dementia than other types of dementia, a team of international researchers has found.

Compared with a nondiabetic control population, those with type 2 diabetes had a statistically significant 35% increased chance of having vascular dementia in a large observational study.

By comparison, the risk for nonvascular dementia was increased by a “more modest” 8%, said the researchers from the University of Glasgow and the University of Gothenburg (Sweden), while the risk for Alzheimer’s dementia appeared to be reduced by 8%.

The link between type 2 diabetes and dementia is not new, observed Carlos Celis-Morales, PhD, who presented the study’s findings at the virtual annual meeting of the European Association for the Study of Diabetes. With people living longer thanks to improved preventative strategies and treatments, there is a risk for developing other chronic conditions, such as dementia.

“A third of all dementia cases may be attributable to modifiable risk factors, among them type 2 diabetes, which accounts for 3.2% of all dementia cases,” said Dr. Celis-Morales, a research fellow at the University of Glasgow’s Institute of Cardiovascular and Medical Sciences.

“Although we know that diabetes is linked to dementia, what we don’t know really well is how much of this association between diabetes and dementia outcomes are explained by modifiable and nonmodifiable risk factors,” Dr. Celis-Morales added.

“Diabetes and dementia share certain risk factors,” commented coinvestigator Naveed Sattar, MD, in a press release issued by the EASD. These include obesity, smoking, and lack of physical activity and might explain part of the association between the two conditions.

Dr. Sattar said that the heightened vascular dementia risk found in the study was “in itself an argument for preventive measures such as healthier lifestyle,” adding that “the importance of prevention is underscored by the fact that, for the majority of dementia diseases, there is no good treatment.”

Using data from the Swedish National Diabetes Register, the research team set out to determine the extent to which type 2 diabetes was associated with dementia and the incidence of different subtypes of dementia. They also looked to see if there were any associations with blood glucose control and what risk factors may be involved.

In total, data on 378,299 individuals with type 2 diabetes were compared with data on 1,886,022 similarly aged (average, 64 years) and gender-matched controls from the general population.

After a mean 7 years of follow-up, 10,143 people with and 46,479 people without type 2 diabetes developed dementia. Nonvascular dementia was the most common type of dementia recorded, followed by Alzheimer’s disease and then vascular dementia.

“Within type 2 diabetes individuals, poor glycemic [control] increased the risk of dementia especially for vascular dementia and nonvascular dementia. However, these associations were not as evident for Alzheimer’s disease,” Dr. Celis-Morales reported.

Comparing those with hemoglobin bA1c of less than 52 mmol/mol (7%) with those whose A1c was above 87 mmol/mol (10.1%), there was 93% increase in the risk for vascular dementia, a 67% increase in the risk for nonvascular dementia, and a 34% higher risk for Alzheimer’s disease–associated dementia.

“We have focused on high levels of HbA1c, but what happens if you have really low limits? It’s something we’re working on right now,” Dr. Celis-Morales said.

Importantly, cardiovascular-related risk factors – some of which, like systolic blood pressure and body weight, were potentially modifiable – accounted for more than 40% of the risk for dementia in type 2 diabetes. This suggests that a large percentage of the dementia risk could perhaps be addressed by identifying high-risk individuals and tailoring interventions accordingly.

“These are observational findings, so we need to be careful before we translate to any sort of recommendation,” Dr. Celis-Morales said.

The study was financed by the Swedish state under the agreement between the government and the county councils, the ALF agreement, as well as grant from the Novo Nordisk Foundation and the Swedish Association of Local Authorities and Regions. Dr. Celis-Morales and Dr. Sattar had no conflicts of interest.
 

SOURCE: Celis-Morales C et al. EASD 2020, Oral presentation 06.

Persons with type 2 diabetes may be at heightened risk for developing vascular dementia than other types of dementia, a team of international researchers has found.

Compared with a nondiabetic control population, those with type 2 diabetes had a statistically significant 35% increased chance of having vascular dementia in a large observational study.

By comparison, the risk for nonvascular dementia was increased by a “more modest” 8%, said the researchers from the University of Glasgow and the University of Gothenburg (Sweden), while the risk for Alzheimer’s dementia appeared to be reduced by 8%.

The link between type 2 diabetes and dementia is not new, observed Carlos Celis-Morales, PhD, who presented the study’s findings at the virtual annual meeting of the European Association for the Study of Diabetes. With people living longer thanks to improved preventative strategies and treatments, there is a risk for developing other chronic conditions, such as dementia.

“A third of all dementia cases may be attributable to modifiable risk factors, among them type 2 diabetes, which accounts for 3.2% of all dementia cases,” said Dr. Celis-Morales, a research fellow at the University of Glasgow’s Institute of Cardiovascular and Medical Sciences.

“Although we know that diabetes is linked to dementia, what we don’t know really well is how much of this association between diabetes and dementia outcomes are explained by modifiable and nonmodifiable risk factors,” Dr. Celis-Morales added.

“Diabetes and dementia share certain risk factors,” commented coinvestigator Naveed Sattar, MD, in a press release issued by the EASD. These include obesity, smoking, and lack of physical activity and might explain part of the association between the two conditions.

Dr. Sattar said that the heightened vascular dementia risk found in the study was “in itself an argument for preventive measures such as healthier lifestyle,” adding that “the importance of prevention is underscored by the fact that, for the majority of dementia diseases, there is no good treatment.”

Using data from the Swedish National Diabetes Register, the research team set out to determine the extent to which type 2 diabetes was associated with dementia and the incidence of different subtypes of dementia. They also looked to see if there were any associations with blood glucose control and what risk factors may be involved.

In total, data on 378,299 individuals with type 2 diabetes were compared with data on 1,886,022 similarly aged (average, 64 years) and gender-matched controls from the general population.

After a mean 7 years of follow-up, 10,143 people with and 46,479 people without type 2 diabetes developed dementia. Nonvascular dementia was the most common type of dementia recorded, followed by Alzheimer’s disease and then vascular dementia.

“Within type 2 diabetes individuals, poor glycemic [control] increased the risk of dementia especially for vascular dementia and nonvascular dementia. However, these associations were not as evident for Alzheimer’s disease,” Dr. Celis-Morales reported.

Comparing those with hemoglobin bA1c of less than 52 mmol/mol (7%) with those whose A1c was above 87 mmol/mol (10.1%), there was 93% increase in the risk for vascular dementia, a 67% increase in the risk for nonvascular dementia, and a 34% higher risk for Alzheimer’s disease–associated dementia.

“We have focused on high levels of HbA1c, but what happens if you have really low limits? It’s something we’re working on right now,” Dr. Celis-Morales said.

Importantly, cardiovascular-related risk factors – some of which, like systolic blood pressure and body weight, were potentially modifiable – accounted for more than 40% of the risk for dementia in type 2 diabetes. This suggests that a large percentage of the dementia risk could perhaps be addressed by identifying high-risk individuals and tailoring interventions accordingly.

“These are observational findings, so we need to be careful before we translate to any sort of recommendation,” Dr. Celis-Morales said.

The study was financed by the Swedish state under the agreement between the government and the county councils, the ALF agreement, as well as grant from the Novo Nordisk Foundation and the Swedish Association of Local Authorities and Regions. Dr. Celis-Morales and Dr. Sattar had no conflicts of interest.
 

SOURCE: Celis-Morales C et al. EASD 2020, Oral presentation 06.

Persons with type 2 diabetes may be at heightened risk for developing vascular dementia than other types of dementia, a team of international researchers has found.

Compared with a nondiabetic control population, those with type 2 diabetes had a statistically significant 35% increased chance of having vascular dementia in a large observational study.

By comparison, the risk for nonvascular dementia was increased by a “more modest” 8%, said the researchers from the University of Glasgow and the University of Gothenburg (Sweden), while the risk for Alzheimer’s dementia appeared to be reduced by 8%.

The link between type 2 diabetes and dementia is not new, observed Carlos Celis-Morales, PhD, who presented the study’s findings at the virtual annual meeting of the European Association for the Study of Diabetes. With people living longer thanks to improved preventative strategies and treatments, there is a risk for developing other chronic conditions, such as dementia.

“A third of all dementia cases may be attributable to modifiable risk factors, among them type 2 diabetes, which accounts for 3.2% of all dementia cases,” said Dr. Celis-Morales, a research fellow at the University of Glasgow’s Institute of Cardiovascular and Medical Sciences.

“Although we know that diabetes is linked to dementia, what we don’t know really well is how much of this association between diabetes and dementia outcomes are explained by modifiable and nonmodifiable risk factors,” Dr. Celis-Morales added.

“Diabetes and dementia share certain risk factors,” commented coinvestigator Naveed Sattar, MD, in a press release issued by the EASD. These include obesity, smoking, and lack of physical activity and might explain part of the association between the two conditions.

Dr. Sattar said that the heightened vascular dementia risk found in the study was “in itself an argument for preventive measures such as healthier lifestyle,” adding that “the importance of prevention is underscored by the fact that, for the majority of dementia diseases, there is no good treatment.”

Using data from the Swedish National Diabetes Register, the research team set out to determine the extent to which type 2 diabetes was associated with dementia and the incidence of different subtypes of dementia. They also looked to see if there were any associations with blood glucose control and what risk factors may be involved.

In total, data on 378,299 individuals with type 2 diabetes were compared with data on 1,886,022 similarly aged (average, 64 years) and gender-matched controls from the general population.

After a mean 7 years of follow-up, 10,143 people with and 46,479 people without type 2 diabetes developed dementia. Nonvascular dementia was the most common type of dementia recorded, followed by Alzheimer’s disease and then vascular dementia.

“Within type 2 diabetes individuals, poor glycemic [control] increased the risk of dementia especially for vascular dementia and nonvascular dementia. However, these associations were not as evident for Alzheimer’s disease,” Dr. Celis-Morales reported.

Comparing those with hemoglobin bA1c of less than 52 mmol/mol (7%) with those whose A1c was above 87 mmol/mol (10.1%), there was 93% increase in the risk for vascular dementia, a 67% increase in the risk for nonvascular dementia, and a 34% higher risk for Alzheimer’s disease–associated dementia.

“We have focused on high levels of HbA1c, but what happens if you have really low limits? It’s something we’re working on right now,” Dr. Celis-Morales said.

Importantly, cardiovascular-related risk factors – some of which, like systolic blood pressure and body weight, were potentially modifiable – accounted for more than 40% of the risk for dementia in type 2 diabetes. This suggests that a large percentage of the dementia risk could perhaps be addressed by identifying high-risk individuals and tailoring interventions accordingly.

“These are observational findings, so we need to be careful before we translate to any sort of recommendation,” Dr. Celis-Morales said.

The study was financed by the Swedish state under the agreement between the government and the county councils, the ALF agreement, as well as grant from the Novo Nordisk Foundation and the Swedish Association of Local Authorities and Regions. Dr. Celis-Morales and Dr. Sattar had no conflicts of interest.
 

SOURCE: Celis-Morales C et al. EASD 2020, Oral presentation 06.

Technology is pervasive, and for many people, it is central to their daily activities. Younger people who have been exposed to technology for their entire lives take this for granted, but older individuals often have had much less experience with it. Many technological developments that are now a part of most people’s daily life, such as personal computers, cell phones, and automated teller machines (ATMs), have occurred in the past 4 decades, with the pace accelerating in the last 15 to 20 years.

Such changes have had a substantial impact on older adults who were never exposed to these technologies during their working life. For example, an 85-year-old person who retired at age 65 would probably have not been exposed to wireless internet prior to retirement. Therefore, all of the tasks that they are now required to complete online would have been performed in other ways. Banking, accessing instruction manuals for new devices, and even scheduling and confirming health care appointments and accessing medical records all now require individuals to have a level of technological skills that many older individuals find challenging. At times, this can limit their ability to complete routine daily activities, and also can have clinical implications (Table).

Fortunately, there are strategies clinicians can use to help their older patients face these challenges. In this article, we describe the cognitive domains associated with learning technological skills, how aging affects these domains, and what can be done to help older adults improve their technological skills.

Limited training on how to use new technology

Technological skills are similar to any other skills in one critical way: they need to be learned. At the same time, technological skills also differ from many other skills, such as playing a musical instrument, because of the constant updating of devices, programs, and applications. When smartphones or computers update their operating systems, the visual appearance of the screen and the way that tasks are performed also can change. Buttons can move and sequences of commands can be altered. Updates often happen with little or no notice, and users may need to navigate a completely different device landscape in order to perform tasks that they had previously mastered.

In addition, the creators/distributors of technology typically provide little training or documentation. Further, institutions such as banks or health care systems frequently do not provide any specific training for using their systems. For example, when patients are required to use technology to refill prescriptions, typically there is no training available on how the system operates.

Cognitive domains associated with technological skills

Because there are minimal opportunities to receive training in how to use most aspects of technology, users have to be able to learn by exposure and experience. This requires several different cognitive abilities to work together. In a recent review, Harvey¹ described cognition and cognitive assessment in the general population, with a focus on cognitive domains. Here we discuss several of these domains in terms of the relationship to real-world functional tasks and discuss their importance for mastering technology.

Reasoning and problem solving. Because most technological devices and applications are designed to be “intuitive,” the user needs to be able to adopt a sequential approach to learning the task. For example, using the internet to refill a prescription requires several steps:

• accessing the internet
• finding the pharmacy web site
• establishing a user ID and password
• navigating the web site to the prescriptions section
• identifying the correct prescription
• requesting the refill
• selecting the pickup date and time.

Continue to: After navigating these steps...

After navigating these steps, an individual still needs other cognitive abilities to refill other prescriptions later. However, executive functioning is also critical for maintaining organization across different technological demands. For example, web sites have different password rules and require frequent changes without re-using old passwords, so it becomes critical to maintain an organized list of web site addresses and their passwords.

Refilling a prescription with a telephone voice menu also requires a series of steps. Typically, this process is simpler than an internet refill, because no log-in information is necessary. However, it still requires a structured series of tasks.

Working memory refers to the ability to hold information in consciousness long enough to operate on it. At each step of the navigation process, the user needs to remember which steps he/she has already completed, because repeating steps can slow down the process or lead to error messages. Thus, remembering which steps have been completed is as critical for performing tasks as is correctly understanding the anticipated sequence of steps. Further, when a password is forgotten, the user needs to remember the newly provided password.

Working memory can be spatial as well. For example, most web sites do not display a password while it is being entered, which eliminates spatial working memory from the equation. Thus, the ability to remember which characters have been entered and which still need to be entered is necessary.

Episodic memory is the process of learning and retaining newly presented verbal or spatial information as well as recalling it later for adaptive use. After successfully using a new technology, it is critical to be able to remember what to do the next time it is used. This includes both recalling how to access the technology (including the web address, user ID, and password), recalling the steps needed to be performed and their sequence, and recognizing the buttons and instructions presented onscreen.

Continue to: Procedural memory

Procedural memory is memory for motor acts and sequences. For instance, remembering how to ride a bicycle is a procedural memory, as is the ability to perform motor acts in sequence, such as peeling, cutting, and cooking vegetables. Interestingly, procedural memory can be spared in individuals with major challenges in episodic memory, such as those with amnestic conditions or cortical dementia. Thus, it may be possible for people to continue to perform technology-based skills despite declines in episodic memory. Many current technological functional tasks have fixed sequences of events that, if remembered, can lead to increased efficiency and higher chances of success in performance of functional tasks.

Prospective memory is the ability to remember to perform tasks in the future. This can include event-related tasks (eg, enter your password before trying to make a hotel reservation on a web site) or time-related tasks (eg, refill your prescriptions next Friday). Technology can actually facilitate prospective memory by providing reminders to individuals, such as alarms for appointments. However, prospective memory is required to initially set up such alarms, and setting up confusing or incorrect alarms can impede task performance.

Processing speed is the ability to perform cognitively demanding tasks under time constraints. Traditional processing speed tasks include coding and sorting tasks, which require processing new information and effort for relatively short periods of time. In our research, we discovered that processing speed measured with traditional tests was strongly correlated with the time required to perform functional tasks such as an ATM banking task.^2,3 This correlation makes sense in terms of the fact that many real-world functional tasks with technology often have a series of sequential demands that must be accomplished before progression to the next task.

Manual dexterity is also important for using technology. Many electronic devices have small, touch screen-based keyboards. Being able to touch the correct key requires dexterity and can be made more difficult by age-related vision changes, a tremor, or reduced sensation in extremities.

Cognitive changes and aging

It is normal for certain cognitive abilities to change with aging. There are a set of cognitive skills that are generally stable from early adulthood until the early “senescent” period. Some of these skills decline normatively after age 60 to 65, or earlier in some individuals. These include processing new information, solving new problems, and learning and remembering information. Referred to as “fluid intelligence,” these abilities show age-related decline during healthy aging, and even greater decline in individuals with age-related cognitive conditions.

Continue to: On the other hand...

On the other hand, some cognitive abilities do not decline with aging. These include previously acquired knowledge, such as vocabulary and mathematics skills, as well as factual information, such as academic information and the faces of familiar people. These are referred to as “crystallized intelligence,” and there is limited evidence that they decline with age. In fact, these abilities do not decline until the moderately severe stage of cortical dementias, and are commonly used to index premorbid cognitive functioning and cognitive reserve.

Why is this distinction between fluid intelligence and crystallized intelligence important? As noted above, many older people do not have early-life experience with technology. Thus, their crystallized intelligence, which is not as vulnerable to decline with aging, does not include information about how to perform many technological tasks. In contrast to today’s adolescents and young adults, older adults’ academic history typically does not include using smartphones, doing homework via Google Docs, or having homework and classwork assigned via the internet.

Learning how to use new technology requires fluid intelligence, and these abilities are less efficient in older adults. So for many older people, technological tasks can be complex and unfamiliar, and the skills needed to learn how to perform them are also more limited, even in comparison to older adults’ own ability when younger. Because many technology-based activities require concurrent performance of multiple tasks, older adults are at a disadvantage.⁴ It is not surprising, therefore, that a subset of older adults rate their technology skills as weak, and technology-based tasks as challenging or anxiety-provoking.

However, studies show most older adults’ attitudes toward technology remain largely positive, and that they are capable of attaining the necessary skills to use information and communication technology.^4,5 An individual’s perception of his/her age, age-related beliefs, and self-efficacy are associated not only with attitudes toward technology, but possibly with cognition itself.⁶

Education level and socioeconomic factors also influence a person’s ability to become proficient in using technology.^7-9 In fact, socioeconomic factors are more strongly related to access to the internet than age. Many older adults have internet access, but this access does not always translate into full use of its services.

Continue to: The Box...

The Box^10-22 describes some of the effects of aging on the brain, and how these changes are reflected in cognitive abilities.

Box

The role of cognitive training

Existing interventions for helping older adults improve their technology proficiency generally focus on improving cognition, and not necessarily on addressing skills learning. Skills learning and cognition are related; however, the brain depends on neural plasticity for skills learning, whereas cognitive declines are a result of gradual and functional worsening of memory, processing speed, executive functioning, and attention.²³ Interventions such as cognitive strategy training are capable of altering brain neurocircuitry to improve attention and memory.^10,11 Other interventions known to improve cognition include exercise¹⁰ and processing speed training.²⁴ On the other hand, skills learning is more effectively targeted by interventions that focus on stimulating realistic environments to mimic activities of daily living that involve technology.

Studies have consistently demonstrated cognitive improvements associated with computerized cognitive training (CCT). The Advanced Cognitive Training for Independent and Vital Elderly (ACTIVE) study was designed to evaluate the efficacy of cognitive training in 2,832 healthy adults age >65 across 6 recruitment sites in the United States.²⁵ Participants were randomized to a control group (no treatment) or to 1 of 3 treatment groups:

• memory strategy training (instructor-led, not computerized)
• reasoning training (instructor-led, not computerized)
• speed training (no instructor, adaptive computerized training).

Each treatment group received 10 sessions of classroom-based training (1 hour each, twice per week for 5 weeks). Following the intervention, participants who had completed ≥8 sessions were randomized to receive 4 booster sessions at 11 and 35 months after the initial training, or no booster sessions.

Each cognitive training program significantly improved performance on within-domain cognitive tests relative to the control group. Effect sizes were large immediately following training; they declined over time, but were still significant at 10-year follow-up. As hypothesized, training effects did not generalize to neuropsychological tests in other training domains. The booster subgroup of speed training showed improved performance on a separate functional speed measure at 2-year²⁶ and 5-year follow-up.²⁷ Each condition showed slower decline in instrumental activities of daily living relative to the control group.

Continue to: The Figure...

The Figure shows the type of stimuli presented in the speed training, a procedure where individuals are taught high-speed multitasking by having to identify and locate visual information quickly in a divided-attention format. A stimulus appears in the center of the screen—either a car or a truck—and at the same time, a “Route 66” sign appears in the periphery. For every successful response, the next stimulus is presented at a shorter duration after every successful response, and more slowly after errors.

Secondary outcome analyses demonstrated that for older adults, speed training reduced rates of driving cessation,²⁷ improved driving habits, and lowered the incidence of at-fault crashes²⁸ (based on motor vehicle records). Speed training also resulted in improvements in health-related quality of life,^29,30 depression,³¹ locus of control,³² and medical expenditures.³³ An analysis of 10-year outcomes³⁴ found that speed training was associated with a 29% reduction in risk of developing of dementia, while the other 2 interventions were not. However, despite these multiple areas of benefit, there was no evidence that new functional skills were acquired as a result of the training.^26-34

Functional skills training

While there is a long history of using functional skills training to help patients with schizophrenia, for healthy older people, there are considerably more challenges. First, aging is not a disease. Consequently, functional skills training is typically not covered by health insurance. Second, functional skills training delivered by a human trainer can be expensive and is not readily available. Finally, there are no real curricula for training functional skills, particularly those that are device-based (phone, tablet, or computer).

Recently, researchers have developed a functional skills assessment and training program that was originally piloted as a fixed difficulty simulation as described in 2 studies by Czaja et al.^2,3 The original assessment was used to compare healthy control individuals with people with mild cognitive impairment (MCI) or schizophrenia. Most recently, training modules for 6 different technology-based functional tasks have been developed and piloted in samples of healthy controls and patients with MCI in a randomized trial.³⁵ Half of the participants in each of the 2 groups were randomized to receive speed training similar to the ACTIVE study, and the other half received skills training alone. All participants were trained for 24 sessions over 12 weeks or until they mastered all 6 simulations.

Both patients with MCI and healthy controls improved in all 6 simulations. Although patients with MCI were considerably less efficient at baseline, their training gains per session were equivalent to that of healthy controls. Finally, concurrent cognitive training increased the efficiency of skills training. At the end of the study, functional gains were the same for people in both groups randomized to either condition, even though individuals in the combined cognitive and skills training interventions received only half as much skills training time.

Continue to: What to tell patients

What to tell patients

Older patients might ask their clinicians what they can do to “exercise their brain.” Let them know that CCT has been shown to improve cognitive performance in healthy older people, and that there are several evidence-based, commercially available products for this purpose. Two such self-administrable systems with supportive data are BrainHQ (www.brainhq.com) and Happy Neuron (www.happy-neuron.com). Explain that it is likely that the best strategy is a combination of cognitive and functional skills training. One commercially available functional skills training program with supportive data is i-Function (www.i-Function.com). (Editor’s note: One of the authors, PDH, is an employee of i-Function, Inc.)

Bottom Line

Clinicians should ensure older patients that they have the cognitive capacity to learn new technology-related functional skills, and that such patients have the opportunity to learn these skills. Clinicians need to be able to identify people who are at high risk of not being able to adhere to instructions and suggestions that require interactions with technology. Treatment options include computerized cognitive training and functional skills training.

Related Resources

• Hill NT, Mowszowski L, Naismith SL, et al. Computerized cognitive training in older adults with mild cognitive impairment or dementia: a systematic review and metaanalysis. Am J Psychiatry. 2017;174(4):329-340.
• Harvey PD, McGurk SR, Mahncke H, et al. Controversies in computerized cognitive training. Biol Psychiatry Cogn Neurosci Neuroimaging. 2018;3(11):907-915.

Technology is pervasive, and for many people, it is central to their daily activities. Younger people who have been exposed to technology for their entire lives take this for granted, but older individuals often have had much less experience with it. Many technological developments that are now a part of most people’s daily life, such as personal computers, cell phones, and automated teller machines (ATMs), have occurred in the past 4 decades, with the pace accelerating in the last 15 to 20 years.

Such changes have had a substantial impact on older adults who were never exposed to these technologies during their working life. For example, an 85-year-old person who retired at age 65 would probably have not been exposed to wireless internet prior to retirement. Therefore, all of the tasks that they are now required to complete online would have been performed in other ways. Banking, accessing instruction manuals for new devices, and even scheduling and confirming health care appointments and accessing medical records all now require individuals to have a level of technological skills that many older individuals find challenging. At times, this can limit their ability to complete routine daily activities, and also can have clinical implications (Table).

Fortunately, there are strategies clinicians can use to help their older patients face these challenges. In this article, we describe the cognitive domains associated with learning technological skills, how aging affects these domains, and what can be done to help older adults improve their technological skills.

Limited training on how to use new technology

Technological skills are similar to any other skills in one critical way: they need to be learned. At the same time, technological skills also differ from many other skills, such as playing a musical instrument, because of the constant updating of devices, programs, and applications. When smartphones or computers update their operating systems, the visual appearance of the screen and the way that tasks are performed also can change. Buttons can move and sequences of commands can be altered. Updates often happen with little or no notice, and users may need to navigate a completely different device landscape in order to perform tasks that they had previously mastered.

In addition, the creators/distributors of technology typically provide little training or documentation. Further, institutions such as banks or health care systems frequently do not provide any specific training for using their systems. For example, when patients are required to use technology to refill prescriptions, typically there is no training available on how the system operates.

Cognitive domains associated with technological skills

Because there are minimal opportunities to receive training in how to use most aspects of technology, users have to be able to learn by exposure and experience. This requires several different cognitive abilities to work together. In a recent review, Harvey¹ described cognition and cognitive assessment in the general population, with a focus on cognitive domains. Here we discuss several of these domains in terms of the relationship to real-world functional tasks and discuss their importance for mastering technology.

Reasoning and problem solving. Because most technological devices and applications are designed to be “intuitive,” the user needs to be able to adopt a sequential approach to learning the task. For example, using the internet to refill a prescription requires several steps:

• accessing the internet
• finding the pharmacy web site
• establishing a user ID and password
• navigating the web site to the prescriptions section
• identifying the correct prescription
• requesting the refill
• selecting the pickup date and time.

Continue to: After navigating these steps...

After navigating these steps, an individual still needs other cognitive abilities to refill other prescriptions later. However, executive functioning is also critical for maintaining organization across different technological demands. For example, web sites have different password rules and require frequent changes without re-using old passwords, so it becomes critical to maintain an organized list of web site addresses and their passwords.

Refilling a prescription with a telephone voice menu also requires a series of steps. Typically, this process is simpler than an internet refill, because no log-in information is necessary. However, it still requires a structured series of tasks.

Working memory refers to the ability to hold information in consciousness long enough to operate on it. At each step of the navigation process, the user needs to remember which steps he/she has already completed, because repeating steps can slow down the process or lead to error messages. Thus, remembering which steps have been completed is as critical for performing tasks as is correctly understanding the anticipated sequence of steps. Further, when a password is forgotten, the user needs to remember the newly provided password.

Working memory can be spatial as well. For example, most web sites do not display a password while it is being entered, which eliminates spatial working memory from the equation. Thus, the ability to remember which characters have been entered and which still need to be entered is necessary.

Episodic memory is the process of learning and retaining newly presented verbal or spatial information as well as recalling it later for adaptive use. After successfully using a new technology, it is critical to be able to remember what to do the next time it is used. This includes both recalling how to access the technology (including the web address, user ID, and password), recalling the steps needed to be performed and their sequence, and recognizing the buttons and instructions presented onscreen.

Continue to: Procedural memory

Procedural memory is memory for motor acts and sequences. For instance, remembering how to ride a bicycle is a procedural memory, as is the ability to perform motor acts in sequence, such as peeling, cutting, and cooking vegetables. Interestingly, procedural memory can be spared in individuals with major challenges in episodic memory, such as those with amnestic conditions or cortical dementia. Thus, it may be possible for people to continue to perform technology-based skills despite declines in episodic memory. Many current technological functional tasks have fixed sequences of events that, if remembered, can lead to increased efficiency and higher chances of success in performance of functional tasks.

Prospective memory is the ability to remember to perform tasks in the future. This can include event-related tasks (eg, enter your password before trying to make a hotel reservation on a web site) or time-related tasks (eg, refill your prescriptions next Friday). Technology can actually facilitate prospective memory by providing reminders to individuals, such as alarms for appointments. However, prospective memory is required to initially set up such alarms, and setting up confusing or incorrect alarms can impede task performance.

Processing speed is the ability to perform cognitively demanding tasks under time constraints. Traditional processing speed tasks include coding and sorting tasks, which require processing new information and effort for relatively short periods of time. In our research, we discovered that processing speed measured with traditional tests was strongly correlated with the time required to perform functional tasks such as an ATM banking task.^2,3 This correlation makes sense in terms of the fact that many real-world functional tasks with technology often have a series of sequential demands that must be accomplished before progression to the next task.

Manual dexterity is also important for using technology. Many electronic devices have small, touch screen-based keyboards. Being able to touch the correct key requires dexterity and can be made more difficult by age-related vision changes, a tremor, or reduced sensation in extremities.

Cognitive changes and aging

It is normal for certain cognitive abilities to change with aging. There are a set of cognitive skills that are generally stable from early adulthood until the early “senescent” period. Some of these skills decline normatively after age 60 to 65, or earlier in some individuals. These include processing new information, solving new problems, and learning and remembering information. Referred to as “fluid intelligence,” these abilities show age-related decline during healthy aging, and even greater decline in individuals with age-related cognitive conditions.

Continue to: On the other hand...

On the other hand, some cognitive abilities do not decline with aging. These include previously acquired knowledge, such as vocabulary and mathematics skills, as well as factual information, such as academic information and the faces of familiar people. These are referred to as “crystallized intelligence,” and there is limited evidence that they decline with age. In fact, these abilities do not decline until the moderately severe stage of cortical dementias, and are commonly used to index premorbid cognitive functioning and cognitive reserve.

Why is this distinction between fluid intelligence and crystallized intelligence important? As noted above, many older people do not have early-life experience with technology. Thus, their crystallized intelligence, which is not as vulnerable to decline with aging, does not include information about how to perform many technological tasks. In contrast to today’s adolescents and young adults, older adults’ academic history typically does not include using smartphones, doing homework via Google Docs, or having homework and classwork assigned via the internet.

Learning how to use new technology requires fluid intelligence, and these abilities are less efficient in older adults. So for many older people, technological tasks can be complex and unfamiliar, and the skills needed to learn how to perform them are also more limited, even in comparison to older adults’ own ability when younger. Because many technology-based activities require concurrent performance of multiple tasks, older adults are at a disadvantage.⁴ It is not surprising, therefore, that a subset of older adults rate their technology skills as weak, and technology-based tasks as challenging or anxiety-provoking.

However, studies show most older adults’ attitudes toward technology remain largely positive, and that they are capable of attaining the necessary skills to use information and communication technology.^4,5 An individual’s perception of his/her age, age-related beliefs, and self-efficacy are associated not only with attitudes toward technology, but possibly with cognition itself.⁶

Education level and socioeconomic factors also influence a person’s ability to become proficient in using technology.^7-9 In fact, socioeconomic factors are more strongly related to access to the internet than age. Many older adults have internet access, but this access does not always translate into full use of its services.

Continue to: The Box...

The Box^10-22 describes some of the effects of aging on the brain, and how these changes are reflected in cognitive abilities.

Box

The role of cognitive training

Existing interventions for helping older adults improve their technology proficiency generally focus on improving cognition, and not necessarily on addressing skills learning. Skills learning and cognition are related; however, the brain depends on neural plasticity for skills learning, whereas cognitive declines are a result of gradual and functional worsening of memory, processing speed, executive functioning, and attention.²³ Interventions such as cognitive strategy training are capable of altering brain neurocircuitry to improve attention and memory.^10,11 Other interventions known to improve cognition include exercise¹⁰ and processing speed training.²⁴ On the other hand, skills learning is more effectively targeted by interventions that focus on stimulating realistic environments to mimic activities of daily living that involve technology.

Studies have consistently demonstrated cognitive improvements associated with computerized cognitive training (CCT). The Advanced Cognitive Training for Independent and Vital Elderly (ACTIVE) study was designed to evaluate the efficacy of cognitive training in 2,832 healthy adults age >65 across 6 recruitment sites in the United States.²⁵ Participants were randomized to a control group (no treatment) or to 1 of 3 treatment groups:

• memory strategy training (instructor-led, not computerized)
• reasoning training (instructor-led, not computerized)
• speed training (no instructor, adaptive computerized training).

Each treatment group received 10 sessions of classroom-based training (1 hour each, twice per week for 5 weeks). Following the intervention, participants who had completed ≥8 sessions were randomized to receive 4 booster sessions at 11 and 35 months after the initial training, or no booster sessions.

Each cognitive training program significantly improved performance on within-domain cognitive tests relative to the control group. Effect sizes were large immediately following training; they declined over time, but were still significant at 10-year follow-up. As hypothesized, training effects did not generalize to neuropsychological tests in other training domains. The booster subgroup of speed training showed improved performance on a separate functional speed measure at 2-year²⁶ and 5-year follow-up.²⁷ Each condition showed slower decline in instrumental activities of daily living relative to the control group.

Continue to: The Figure...

The Figure shows the type of stimuli presented in the speed training, a procedure where individuals are taught high-speed multitasking by having to identify and locate visual information quickly in a divided-attention format. A stimulus appears in the center of the screen—either a car or a truck—and at the same time, a “Route 66” sign appears in the periphery. For every successful response, the next stimulus is presented at a shorter duration after every successful response, and more slowly after errors.

Secondary outcome analyses demonstrated that for older adults, speed training reduced rates of driving cessation,²⁷ improved driving habits, and lowered the incidence of at-fault crashes²⁸ (based on motor vehicle records). Speed training also resulted in improvements in health-related quality of life,^29,30 depression,³¹ locus of control,³² and medical expenditures.³³ An analysis of 10-year outcomes³⁴ found that speed training was associated with a 29% reduction in risk of developing of dementia, while the other 2 interventions were not. However, despite these multiple areas of benefit, there was no evidence that new functional skills were acquired as a result of the training.^26-34

Functional skills training

While there is a long history of using functional skills training to help patients with schizophrenia, for healthy older people, there are considerably more challenges. First, aging is not a disease. Consequently, functional skills training is typically not covered by health insurance. Second, functional skills training delivered by a human trainer can be expensive and is not readily available. Finally, there are no real curricula for training functional skills, particularly those that are device-based (phone, tablet, or computer).

Recently, researchers have developed a functional skills assessment and training program that was originally piloted as a fixed difficulty simulation as described in 2 studies by Czaja et al.^2,3 The original assessment was used to compare healthy control individuals with people with mild cognitive impairment (MCI) or schizophrenia. Most recently, training modules for 6 different technology-based functional tasks have been developed and piloted in samples of healthy controls and patients with MCI in a randomized trial.³⁵ Half of the participants in each of the 2 groups were randomized to receive speed training similar to the ACTIVE study, and the other half received skills training alone. All participants were trained for 24 sessions over 12 weeks or until they mastered all 6 simulations.

Both patients with MCI and healthy controls improved in all 6 simulations. Although patients with MCI were considerably less efficient at baseline, their training gains per session were equivalent to that of healthy controls. Finally, concurrent cognitive training increased the efficiency of skills training. At the end of the study, functional gains were the same for people in both groups randomized to either condition, even though individuals in the combined cognitive and skills training interventions received only half as much skills training time.

Continue to: What to tell patients

What to tell patients

Older patients might ask their clinicians what they can do to “exercise their brain.” Let them know that CCT has been shown to improve cognitive performance in healthy older people, and that there are several evidence-based, commercially available products for this purpose. Two such self-administrable systems with supportive data are BrainHQ (www.brainhq.com) and Happy Neuron (www.happy-neuron.com). Explain that it is likely that the best strategy is a combination of cognitive and functional skills training. One commercially available functional skills training program with supportive data is i-Function (www.i-Function.com). (Editor’s note: One of the authors, PDH, is an employee of i-Function, Inc.)

Bottom Line

Clinicians should ensure older patients that they have the cognitive capacity to learn new technology-related functional skills, and that such patients have the opportunity to learn these skills. Clinicians need to be able to identify people who are at high risk of not being able to adhere to instructions and suggestions that require interactions with technology. Treatment options include computerized cognitive training and functional skills training.

Related Resources

• Hill NT, Mowszowski L, Naismith SL, et al. Computerized cognitive training in older adults with mild cognitive impairment or dementia: a systematic review and metaanalysis. Am J Psychiatry. 2017;174(4):329-340.
• Harvey PD, McGurk SR, Mahncke H, et al. Controversies in computerized cognitive training. Biol Psychiatry Cogn Neurosci Neuroimaging. 2018;3(11):907-915.

Technology is pervasive, and for many people, it is central to their daily activities. Younger people who have been exposed to technology for their entire lives take this for granted, but older individuals often have had much less experience with it. Many technological developments that are now a part of most people’s daily life, such as personal computers, cell phones, and automated teller machines (ATMs), have occurred in the past 4 decades, with the pace accelerating in the last 15 to 20 years.

Such changes have had a substantial impact on older adults who were never exposed to these technologies during their working life. For example, an 85-year-old person who retired at age 65 would probably have not been exposed to wireless internet prior to retirement. Therefore, all of the tasks that they are now required to complete online would have been performed in other ways. Banking, accessing instruction manuals for new devices, and even scheduling and confirming health care appointments and accessing medical records all now require individuals to have a level of technological skills that many older individuals find challenging. At times, this can limit their ability to complete routine daily activities, and also can have clinical implications (Table).

Fortunately, there are strategies clinicians can use to help their older patients face these challenges. In this article, we describe the cognitive domains associated with learning technological skills, how aging affects these domains, and what can be done to help older adults improve their technological skills.

Limited training on how to use new technology

Technological skills are similar to any other skills in one critical way: they need to be learned. At the same time, technological skills also differ from many other skills, such as playing a musical instrument, because of the constant updating of devices, programs, and applications. When smartphones or computers update their operating systems, the visual appearance of the screen and the way that tasks are performed also can change. Buttons can move and sequences of commands can be altered. Updates often happen with little or no notice, and users may need to navigate a completely different device landscape in order to perform tasks that they had previously mastered.

In addition, the creators/distributors of technology typically provide little training or documentation. Further, institutions such as banks or health care systems frequently do not provide any specific training for using their systems. For example, when patients are required to use technology to refill prescriptions, typically there is no training available on how the system operates.

Cognitive domains associated with technological skills

Because there are minimal opportunities to receive training in how to use most aspects of technology, users have to be able to learn by exposure and experience. This requires several different cognitive abilities to work together. In a recent review, Harvey¹ described cognition and cognitive assessment in the general population, with a focus on cognitive domains. Here we discuss several of these domains in terms of the relationship to real-world functional tasks and discuss their importance for mastering technology.

Reasoning and problem solving. Because most technological devices and applications are designed to be “intuitive,” the user needs to be able to adopt a sequential approach to learning the task. For example, using the internet to refill a prescription requires several steps:

• accessing the internet
• finding the pharmacy web site
• establishing a user ID and password
• navigating the web site to the prescriptions section
• identifying the correct prescription
• requesting the refill
• selecting the pickup date and time.

Continue to: After navigating these steps...

After navigating these steps, an individual still needs other cognitive abilities to refill other prescriptions later. However, executive functioning is also critical for maintaining organization across different technological demands. For example, web sites have different password rules and require frequent changes without re-using old passwords, so it becomes critical to maintain an organized list of web site addresses and their passwords.

Refilling a prescription with a telephone voice menu also requires a series of steps. Typically, this process is simpler than an internet refill, because no log-in information is necessary. However, it still requires a structured series of tasks.

Working memory refers to the ability to hold information in consciousness long enough to operate on it. At each step of the navigation process, the user needs to remember which steps he/she has already completed, because repeating steps can slow down the process or lead to error messages. Thus, remembering which steps have been completed is as critical for performing tasks as is correctly understanding the anticipated sequence of steps. Further, when a password is forgotten, the user needs to remember the newly provided password.

Working memory can be spatial as well. For example, most web sites do not display a password while it is being entered, which eliminates spatial working memory from the equation. Thus, the ability to remember which characters have been entered and which still need to be entered is necessary.

Episodic memory is the process of learning and retaining newly presented verbal or spatial information as well as recalling it later for adaptive use. After successfully using a new technology, it is critical to be able to remember what to do the next time it is used. This includes both recalling how to access the technology (including the web address, user ID, and password), recalling the steps needed to be performed and their sequence, and recognizing the buttons and instructions presented onscreen.

Continue to: Procedural memory

Procedural memory is memory for motor acts and sequences. For instance, remembering how to ride a bicycle is a procedural memory, as is the ability to perform motor acts in sequence, such as peeling, cutting, and cooking vegetables. Interestingly, procedural memory can be spared in individuals with major challenges in episodic memory, such as those with amnestic conditions or cortical dementia. Thus, it may be possible for people to continue to perform technology-based skills despite declines in episodic memory. Many current technological functional tasks have fixed sequences of events that, if remembered, can lead to increased efficiency and higher chances of success in performance of functional tasks.

Prospective memory is the ability to remember to perform tasks in the future. This can include event-related tasks (eg, enter your password before trying to make a hotel reservation on a web site) or time-related tasks (eg, refill your prescriptions next Friday). Technology can actually facilitate prospective memory by providing reminders to individuals, such as alarms for appointments. However, prospective memory is required to initially set up such alarms, and setting up confusing or incorrect alarms can impede task performance.

Processing speed is the ability to perform cognitively demanding tasks under time constraints. Traditional processing speed tasks include coding and sorting tasks, which require processing new information and effort for relatively short periods of time. In our research, we discovered that processing speed measured with traditional tests was strongly correlated with the time required to perform functional tasks such as an ATM banking task.^2,3 This correlation makes sense in terms of the fact that many real-world functional tasks with technology often have a series of sequential demands that must be accomplished before progression to the next task.

Manual dexterity is also important for using technology. Many electronic devices have small, touch screen-based keyboards. Being able to touch the correct key requires dexterity and can be made more difficult by age-related vision changes, a tremor, or reduced sensation in extremities.

Cognitive changes and aging

It is normal for certain cognitive abilities to change with aging. There are a set of cognitive skills that are generally stable from early adulthood until the early “senescent” period. Some of these skills decline normatively after age 60 to 65, or earlier in some individuals. These include processing new information, solving new problems, and learning and remembering information. Referred to as “fluid intelligence,” these abilities show age-related decline during healthy aging, and even greater decline in individuals with age-related cognitive conditions.

Continue to: On the other hand...

On the other hand, some cognitive abilities do not decline with aging. These include previously acquired knowledge, such as vocabulary and mathematics skills, as well as factual information, such as academic information and the faces of familiar people. These are referred to as “crystallized intelligence,” and there is limited evidence that they decline with age. In fact, these abilities do not decline until the moderately severe stage of cortical dementias, and are commonly used to index premorbid cognitive functioning and cognitive reserve.

Why is this distinction between fluid intelligence and crystallized intelligence important? As noted above, many older people do not have early-life experience with technology. Thus, their crystallized intelligence, which is not as vulnerable to decline with aging, does not include information about how to perform many technological tasks. In contrast to today’s adolescents and young adults, older adults’ academic history typically does not include using smartphones, doing homework via Google Docs, or having homework and classwork assigned via the internet.

Learning how to use new technology requires fluid intelligence, and these abilities are less efficient in older adults. So for many older people, technological tasks can be complex and unfamiliar, and the skills needed to learn how to perform them are also more limited, even in comparison to older adults’ own ability when younger. Because many technology-based activities require concurrent performance of multiple tasks, older adults are at a disadvantage.⁴ It is not surprising, therefore, that a subset of older adults rate their technology skills as weak, and technology-based tasks as challenging or anxiety-provoking.

However, studies show most older adults’ attitudes toward technology remain largely positive, and that they are capable of attaining the necessary skills to use information and communication technology.^4,5 An individual’s perception of his/her age, age-related beliefs, and self-efficacy are associated not only with attitudes toward technology, but possibly with cognition itself.⁶

Education level and socioeconomic factors also influence a person’s ability to become proficient in using technology.^7-9 In fact, socioeconomic factors are more strongly related to access to the internet than age. Many older adults have internet access, but this access does not always translate into full use of its services.

Continue to: The Box...

The Box^10-22 describes some of the effects of aging on the brain, and how these changes are reflected in cognitive abilities.

Box

The role of cognitive training

Existing interventions for helping older adults improve their technology proficiency generally focus on improving cognition, and not necessarily on addressing skills learning. Skills learning and cognition are related; however, the brain depends on neural plasticity for skills learning, whereas cognitive declines are a result of gradual and functional worsening of memory, processing speed, executive functioning, and attention.²³ Interventions such as cognitive strategy training are capable of altering brain neurocircuitry to improve attention and memory.^10,11 Other interventions known to improve cognition include exercise¹⁰ and processing speed training.²⁴ On the other hand, skills learning is more effectively targeted by interventions that focus on stimulating realistic environments to mimic activities of daily living that involve technology.

Studies have consistently demonstrated cognitive improvements associated with computerized cognitive training (CCT). The Advanced Cognitive Training for Independent and Vital Elderly (ACTIVE) study was designed to evaluate the efficacy of cognitive training in 2,832 healthy adults age >65 across 6 recruitment sites in the United States.²⁵ Participants were randomized to a control group (no treatment) or to 1 of 3 treatment groups:

• memory strategy training (instructor-led, not computerized)
• reasoning training (instructor-led, not computerized)
• speed training (no instructor, adaptive computerized training).

Each treatment group received 10 sessions of classroom-based training (1 hour each, twice per week for 5 weeks). Following the intervention, participants who had completed ≥8 sessions were randomized to receive 4 booster sessions at 11 and 35 months after the initial training, or no booster sessions.

Each cognitive training program significantly improved performance on within-domain cognitive tests relative to the control group. Effect sizes were large immediately following training; they declined over time, but were still significant at 10-year follow-up. As hypothesized, training effects did not generalize to neuropsychological tests in other training domains. The booster subgroup of speed training showed improved performance on a separate functional speed measure at 2-year²⁶ and 5-year follow-up.²⁷ Each condition showed slower decline in instrumental activities of daily living relative to the control group.

Continue to: The Figure...

The Figure shows the type of stimuli presented in the speed training, a procedure where individuals are taught high-speed multitasking by having to identify and locate visual information quickly in a divided-attention format. A stimulus appears in the center of the screen—either a car or a truck—and at the same time, a “Route 66” sign appears in the periphery. For every successful response, the next stimulus is presented at a shorter duration after every successful response, and more slowly after errors.

Secondary outcome analyses demonstrated that for older adults, speed training reduced rates of driving cessation,²⁷ improved driving habits, and lowered the incidence of at-fault crashes²⁸ (based on motor vehicle records). Speed training also resulted in improvements in health-related quality of life,^29,30 depression,³¹ locus of control,³² and medical expenditures.³³ An analysis of 10-year outcomes³⁴ found that speed training was associated with a 29% reduction in risk of developing of dementia, while the other 2 interventions were not. However, despite these multiple areas of benefit, there was no evidence that new functional skills were acquired as a result of the training.^26-34

Functional skills training

While there is a long history of using functional skills training to help patients with schizophrenia, for healthy older people, there are considerably more challenges. First, aging is not a disease. Consequently, functional skills training is typically not covered by health insurance. Second, functional skills training delivered by a human trainer can be expensive and is not readily available. Finally, there are no real curricula for training functional skills, particularly those that are device-based (phone, tablet, or computer).

Recently, researchers have developed a functional skills assessment and training program that was originally piloted as a fixed difficulty simulation as described in 2 studies by Czaja et al.^2,3 The original assessment was used to compare healthy control individuals with people with mild cognitive impairment (MCI) or schizophrenia. Most recently, training modules for 6 different technology-based functional tasks have been developed and piloted in samples of healthy controls and patients with MCI in a randomized trial.³⁵ Half of the participants in each of the 2 groups were randomized to receive speed training similar to the ACTIVE study, and the other half received skills training alone. All participants were trained for 24 sessions over 12 weeks or until they mastered all 6 simulations.

Both patients with MCI and healthy controls improved in all 6 simulations. Although patients with MCI were considerably less efficient at baseline, their training gains per session were equivalent to that of healthy controls. Finally, concurrent cognitive training increased the efficiency of skills training. At the end of the study, functional gains were the same for people in both groups randomized to either condition, even though individuals in the combined cognitive and skills training interventions received only half as much skills training time.

Continue to: What to tell patients

What to tell patients

Older patients might ask their clinicians what they can do to “exercise their brain.” Let them know that CCT has been shown to improve cognitive performance in healthy older people, and that there are several evidence-based, commercially available products for this purpose. Two such self-administrable systems with supportive data are BrainHQ (www.brainhq.com) and Happy Neuron (www.happy-neuron.com). Explain that it is likely that the best strategy is a combination of cognitive and functional skills training. One commercially available functional skills training program with supportive data is i-Function (www.i-Function.com). (Editor’s note: One of the authors, PDH, is an employee of i-Function, Inc.)

Bottom Line

Clinicians should ensure older patients that they have the cognitive capacity to learn new technology-related functional skills, and that such patients have the opportunity to learn these skills. Clinicians need to be able to identify people who are at high risk of not being able to adhere to instructions and suggestions that require interactions with technology. Treatment options include computerized cognitive training and functional skills training.

Related Resources

• Hill NT, Mowszowski L, Naismith SL, et al. Computerized cognitive training in older adults with mild cognitive impairment or dementia: a systematic review and metaanalysis. Am J Psychiatry. 2017;174(4):329-340.
• Harvey PD, McGurk SR, Mahncke H, et al. Controversies in computerized cognitive training. Biol Psychiatry Cogn Neurosci Neuroimaging. 2018;3(11):907-915.

The mortality burden associated with dementia may be 2.7 times greater than estimated, according to an analysis of a prospective cohort study. This burden may be greatest among non-Hispanic black older adults, compared with Hispanic and non-Hispanic whites. This burden also is significantly greater among people with less than a high school education, compared with those with a college education.

The study results underscore the importance of broadening access to population-based interventions that focus on dementia prevention and care, the investigators wrote. “Future research could examine the extent to which deaths attributable to dementia and underestimation of dementia as an underlying cause of death on death certificates might have changed over time,” wrote Andrew C. Stokes, PhD, assistant professor of global health at the Boston University School of Public Health, and colleagues.

The study was published online Aug. 24 in JAMA Neurology.

In 2019, approximately 5.6 million adults in the United States who were aged 65 years or older had Alzheimer’s disease, vascular dementia, or mixed-cause dementia. A further 18.8% of Americans in this age group had cognitive impairment without dementia (CIND). About one third of patients with CIND may develop Alzheimer’s disease or related dementias (ADRD) within 5 years.

Research suggests that medical examiners significantly underreport ADRD on death certificates. One community-based study, for example, found that only 25% of deaths in patients with dementia had Alzheimer’s disease listed on the death certificates. Other research found that deaths in patients with dementia were often coded using more proximate causes, such as cardiovascular disease, sepsis, and pneumonia.
 

Health and retirement study

Dr. Stokes and colleagues examined data from the Health and Retirement Study (HRS) to evaluate the association of dementia and CIND with all-cause mortality. The HRS is a longitudinal cohort study of adults older than 50 years who live in the community. Its sample is nationally representative. The HRS investigators also initiated the Aging, Demographics, and Memory study to develop a procedure for assessing cognitive status in the HRS sample.

In their study, Dr. Stokes and colleagues included adults who had been sampled in the 2000 wave of HRS. They focused on participants between ages 70 and 99 years at baseline, and their final sample included 7,342 older adults. To identify dementia status, the researchers used the Langa–Weir score cutoff, which is based on tests of immediate and delayed recall of 10 words, a serial 7-second task, and a backward counting task. They also classified dementia status using the Herzog–Wallace, Wu, Hurd, and modified Hurd algorithms.

At baseline, the researchers measured age, sex, race or ethnicity, educational attainment, smoking status, self-reported disease diagnoses, and U.S. Census division as covariates. The National Center for Health Statistics linked HRS data with National Death Index records. These linked records include underlying cause of death and any mention of a condition or cause of death on the death certificate. The researchers compared the percentage of deaths attributable to ADRD according to a population attributable fraction estimate with the proportion of dementia-related deaths according to underlying causes and with any mention of dementia on death certificates.

The sample of 7,342 older adults included 4,348 (60.3%) women. Data for 1,030 (13.4%) people were reported by proxy. At baseline, most participants (64.0%) were between ages 70 and 79 years, 31% were between ages 80 and 89, and 5% were between ages 90 and 99 years. The prevalence of dementia in the complete sample was 14.3%, and the prevalence of CIND was 24.7%. The prevalence of dementia (22.4%) and CIND (29.3%) was higher among decedents than among the full population.

The hazard ratio (HR) for mortality was 2.53 among participants with dementia and 1.53 among patients with CIND. Although 13.6% of deaths were attributable to dementia, the proportion of deaths assigned to dementia as an underlying cause on death certificates was 5.0%. This discrepancy suggests that dementia is underreported by more than a factor of 2.7.

The mortality burden of dementia was 24.7% in non-Hispanic black older adults, 20.7% in Hispanic white participants, and 12.2% in non-Hispanic white participants. In addition, the mortality burden of dementia was significantly greater among participants with less than a high school education (16.2%) than among participants with a college education (9.8%).

The degree to which the underlying cause of death underestimated the mortality burden of dementia varied by sociodemographic characteristics, health status, and geography. The burden was underestimated by a factor of 7.1 among non-Hispanic black participants, a factor of 4.1 among Hispanic participants, and a factor of 2.3 among non-Hispanic white participants. The burden was underestimated by a factor of 3.5 in men and a factor of 2.4 in women. In addition, the burden was underestimated by a factor of 3.0 among participants with less than a high school education, by a factor of 2.3 among participants with a high school education, by a factor of 1.9 in participants with some college, and by a factor of 2.5 among participants with a college or higher education.

One of the study’s strengths was its population attributable fraction analysis, which reduced the risk of overestimating the mortality burden of dementia, Dr. Stokes and colleagues wrote. Examining CIND is valuable because of its high prevalence and consequent influence on outcomes in the population, even though CIND is associated with a lower mortality risk, they added. Nevertheless, the investigators were unable to assess mortality for dementia subtypes, and the classifications of dementia status and CIND may be subject to measurement error.
 

Underestimation is systematic

“This study is eye-opening in that it highlights the systematic underestimation of deaths attributable to dementia,” said Costantino Iadecola, MD, Anne Parrish Titzell professor of neurology and director and chair of the Feil Family Brain and Mind Research Institute at Weill Cornell Medicine in New York. The study’s main strength is that it is nationally representative, but the data must be confirmed in a larger population, he added.

The results will clarify the effect of dementia on mortality for neurologists, and geriatricians should be made aware of them, said Dr. Iadecola. “These data should be valuable to rationalize public health efforts and related funding decisions concerning research and community support.”

Further research could determine the mortality of dementia subgroups, “especially dementias linked to vascular factors in which prevention may be effective,” said Dr. Iadecola. “In the older population, vascular factors may play a more preeminent role, and it may help focus preventive approaches.”

The study was supported by a grant from the National Institute on Aging. Dr. Stokes received grants from Ethicon that were unrelated to this study. Dr. Iadecola serves on the scientific advisory board of Broadview Venture.

[email protected]

SOURCE: Stokes AC et al. JAMA Neurol. 2020 Aug 24. doi: 10.1001/jamaneurol.2020.2831.

The mortality burden associated with dementia may be 2.7 times greater than estimated, according to an analysis of a prospective cohort study. This burden may be greatest among non-Hispanic black older adults, compared with Hispanic and non-Hispanic whites. This burden also is significantly greater among people with less than a high school education, compared with those with a college education.

The study results underscore the importance of broadening access to population-based interventions that focus on dementia prevention and care, the investigators wrote. “Future research could examine the extent to which deaths attributable to dementia and underestimation of dementia as an underlying cause of death on death certificates might have changed over time,” wrote Andrew C. Stokes, PhD, assistant professor of global health at the Boston University School of Public Health, and colleagues.

The study was published online Aug. 24 in JAMA Neurology.

In 2019, approximately 5.6 million adults in the United States who were aged 65 years or older had Alzheimer’s disease, vascular dementia, or mixed-cause dementia. A further 18.8% of Americans in this age group had cognitive impairment without dementia (CIND). About one third of patients with CIND may develop Alzheimer’s disease or related dementias (ADRD) within 5 years.

Research suggests that medical examiners significantly underreport ADRD on death certificates. One community-based study, for example, found that only 25% of deaths in patients with dementia had Alzheimer’s disease listed on the death certificates. Other research found that deaths in patients with dementia were often coded using more proximate causes, such as cardiovascular disease, sepsis, and pneumonia.
 

Health and retirement study

Dr. Stokes and colleagues examined data from the Health and Retirement Study (HRS) to evaluate the association of dementia and CIND with all-cause mortality. The HRS is a longitudinal cohort study of adults older than 50 years who live in the community. Its sample is nationally representative. The HRS investigators also initiated the Aging, Demographics, and Memory study to develop a procedure for assessing cognitive status in the HRS sample.

In their study, Dr. Stokes and colleagues included adults who had been sampled in the 2000 wave of HRS. They focused on participants between ages 70 and 99 years at baseline, and their final sample included 7,342 older adults. To identify dementia status, the researchers used the Langa–Weir score cutoff, which is based on tests of immediate and delayed recall of 10 words, a serial 7-second task, and a backward counting task. They also classified dementia status using the Herzog–Wallace, Wu, Hurd, and modified Hurd algorithms.

At baseline, the researchers measured age, sex, race or ethnicity, educational attainment, smoking status, self-reported disease diagnoses, and U.S. Census division as covariates. The National Center for Health Statistics linked HRS data with National Death Index records. These linked records include underlying cause of death and any mention of a condition or cause of death on the death certificate. The researchers compared the percentage of deaths attributable to ADRD according to a population attributable fraction estimate with the proportion of dementia-related deaths according to underlying causes and with any mention of dementia on death certificates.

The sample of 7,342 older adults included 4,348 (60.3%) women. Data for 1,030 (13.4%) people were reported by proxy. At baseline, most participants (64.0%) were between ages 70 and 79 years, 31% were between ages 80 and 89, and 5% were between ages 90 and 99 years. The prevalence of dementia in the complete sample was 14.3%, and the prevalence of CIND was 24.7%. The prevalence of dementia (22.4%) and CIND (29.3%) was higher among decedents than among the full population.

The hazard ratio (HR) for mortality was 2.53 among participants with dementia and 1.53 among patients with CIND. Although 13.6% of deaths were attributable to dementia, the proportion of deaths assigned to dementia as an underlying cause on death certificates was 5.0%. This discrepancy suggests that dementia is underreported by more than a factor of 2.7.

The mortality burden of dementia was 24.7% in non-Hispanic black older adults, 20.7% in Hispanic white participants, and 12.2% in non-Hispanic white participants. In addition, the mortality burden of dementia was significantly greater among participants with less than a high school education (16.2%) than among participants with a college education (9.8%).

The degree to which the underlying cause of death underestimated the mortality burden of dementia varied by sociodemographic characteristics, health status, and geography. The burden was underestimated by a factor of 7.1 among non-Hispanic black participants, a factor of 4.1 among Hispanic participants, and a factor of 2.3 among non-Hispanic white participants. The burden was underestimated by a factor of 3.5 in men and a factor of 2.4 in women. In addition, the burden was underestimated by a factor of 3.0 among participants with less than a high school education, by a factor of 2.3 among participants with a high school education, by a factor of 1.9 in participants with some college, and by a factor of 2.5 among participants with a college or higher education.

One of the study’s strengths was its population attributable fraction analysis, which reduced the risk of overestimating the mortality burden of dementia, Dr. Stokes and colleagues wrote. Examining CIND is valuable because of its high prevalence and consequent influence on outcomes in the population, even though CIND is associated with a lower mortality risk, they added. Nevertheless, the investigators were unable to assess mortality for dementia subtypes, and the classifications of dementia status and CIND may be subject to measurement error.
 

Underestimation is systematic

“This study is eye-opening in that it highlights the systematic underestimation of deaths attributable to dementia,” said Costantino Iadecola, MD, Anne Parrish Titzell professor of neurology and director and chair of the Feil Family Brain and Mind Research Institute at Weill Cornell Medicine in New York. The study’s main strength is that it is nationally representative, but the data must be confirmed in a larger population, he added.

The results will clarify the effect of dementia on mortality for neurologists, and geriatricians should be made aware of them, said Dr. Iadecola. “These data should be valuable to rationalize public health efforts and related funding decisions concerning research and community support.”

Further research could determine the mortality of dementia subgroups, “especially dementias linked to vascular factors in which prevention may be effective,” said Dr. Iadecola. “In the older population, vascular factors may play a more preeminent role, and it may help focus preventive approaches.”

The study was supported by a grant from the National Institute on Aging. Dr. Stokes received grants from Ethicon that were unrelated to this study. Dr. Iadecola serves on the scientific advisory board of Broadview Venture.

[email protected]

SOURCE: Stokes AC et al. JAMA Neurol. 2020 Aug 24. doi: 10.1001/jamaneurol.2020.2831.

The mortality burden associated with dementia may be 2.7 times greater than estimated, according to an analysis of a prospective cohort study. This burden may be greatest among non-Hispanic black older adults, compared with Hispanic and non-Hispanic whites. This burden also is significantly greater among people with less than a high school education, compared with those with a college education.

The study results underscore the importance of broadening access to population-based interventions that focus on dementia prevention and care, the investigators wrote. “Future research could examine the extent to which deaths attributable to dementia and underestimation of dementia as an underlying cause of death on death certificates might have changed over time,” wrote Andrew C. Stokes, PhD, assistant professor of global health at the Boston University School of Public Health, and colleagues.

The study was published online Aug. 24 in JAMA Neurology.

In 2019, approximately 5.6 million adults in the United States who were aged 65 years or older had Alzheimer’s disease, vascular dementia, or mixed-cause dementia. A further 18.8% of Americans in this age group had cognitive impairment without dementia (CIND). About one third of patients with CIND may develop Alzheimer’s disease or related dementias (ADRD) within 5 years.

Research suggests that medical examiners significantly underreport ADRD on death certificates. One community-based study, for example, found that only 25% of deaths in patients with dementia had Alzheimer’s disease listed on the death certificates. Other research found that deaths in patients with dementia were often coded using more proximate causes, such as cardiovascular disease, sepsis, and pneumonia.
 

Health and retirement study

Dr. Stokes and colleagues examined data from the Health and Retirement Study (HRS) to evaluate the association of dementia and CIND with all-cause mortality. The HRS is a longitudinal cohort study of adults older than 50 years who live in the community. Its sample is nationally representative. The HRS investigators also initiated the Aging, Demographics, and Memory study to develop a procedure for assessing cognitive status in the HRS sample.

In their study, Dr. Stokes and colleagues included adults who had been sampled in the 2000 wave of HRS. They focused on participants between ages 70 and 99 years at baseline, and their final sample included 7,342 older adults. To identify dementia status, the researchers used the Langa–Weir score cutoff, which is based on tests of immediate and delayed recall of 10 words, a serial 7-second task, and a backward counting task. They also classified dementia status using the Herzog–Wallace, Wu, Hurd, and modified Hurd algorithms.

At baseline, the researchers measured age, sex, race or ethnicity, educational attainment, smoking status, self-reported disease diagnoses, and U.S. Census division as covariates. The National Center for Health Statistics linked HRS data with National Death Index records. These linked records include underlying cause of death and any mention of a condition or cause of death on the death certificate. The researchers compared the percentage of deaths attributable to ADRD according to a population attributable fraction estimate with the proportion of dementia-related deaths according to underlying causes and with any mention of dementia on death certificates.

The sample of 7,342 older adults included 4,348 (60.3%) women. Data for 1,030 (13.4%) people were reported by proxy. At baseline, most participants (64.0%) were between ages 70 and 79 years, 31% were between ages 80 and 89, and 5% were between ages 90 and 99 years. The prevalence of dementia in the complete sample was 14.3%, and the prevalence of CIND was 24.7%. The prevalence of dementia (22.4%) and CIND (29.3%) was higher among decedents than among the full population.

The hazard ratio (HR) for mortality was 2.53 among participants with dementia and 1.53 among patients with CIND. Although 13.6% of deaths were attributable to dementia, the proportion of deaths assigned to dementia as an underlying cause on death certificates was 5.0%. This discrepancy suggests that dementia is underreported by more than a factor of 2.7.

The mortality burden of dementia was 24.7% in non-Hispanic black older adults, 20.7% in Hispanic white participants, and 12.2% in non-Hispanic white participants. In addition, the mortality burden of dementia was significantly greater among participants with less than a high school education (16.2%) than among participants with a college education (9.8%).

The degree to which the underlying cause of death underestimated the mortality burden of dementia varied by sociodemographic characteristics, health status, and geography. The burden was underestimated by a factor of 7.1 among non-Hispanic black participants, a factor of 4.1 among Hispanic participants, and a factor of 2.3 among non-Hispanic white participants. The burden was underestimated by a factor of 3.5 in men and a factor of 2.4 in women. In addition, the burden was underestimated by a factor of 3.0 among participants with less than a high school education, by a factor of 2.3 among participants with a high school education, by a factor of 1.9 in participants with some college, and by a factor of 2.5 among participants with a college or higher education.

One of the study’s strengths was its population attributable fraction analysis, which reduced the risk of overestimating the mortality burden of dementia, Dr. Stokes and colleagues wrote. Examining CIND is valuable because of its high prevalence and consequent influence on outcomes in the population, even though CIND is associated with a lower mortality risk, they added. Nevertheless, the investigators were unable to assess mortality for dementia subtypes, and the classifications of dementia status and CIND may be subject to measurement error.
 

Underestimation is systematic

“This study is eye-opening in that it highlights the systematic underestimation of deaths attributable to dementia,” said Costantino Iadecola, MD, Anne Parrish Titzell professor of neurology and director and chair of the Feil Family Brain and Mind Research Institute at Weill Cornell Medicine in New York. The study’s main strength is that it is nationally representative, but the data must be confirmed in a larger population, he added.

The results will clarify the effect of dementia on mortality for neurologists, and geriatricians should be made aware of them, said Dr. Iadecola. “These data should be valuable to rationalize public health efforts and related funding decisions concerning research and community support.”

Further research could determine the mortality of dementia subgroups, “especially dementias linked to vascular factors in which prevention may be effective,” said Dr. Iadecola. “In the older population, vascular factors may play a more preeminent role, and it may help focus preventive approaches.”

The study was supported by a grant from the National Institute on Aging. Dr. Stokes received grants from Ethicon that were unrelated to this study. Dr. Iadecola serves on the scientific advisory board of Broadview Venture.

[email protected]

SOURCE: Stokes AC et al. JAMA Neurol. 2020 Aug 24. doi: 10.1001/jamaneurol.2020.2831.

Alzheimer’s disease may have a causal effect on sleep patterns, but disturbed sleep does not appear to cause Alzheimer’s disease, new research suggests.

The causal association between disturbed sleep and Alzheimer’s disease that has been observed in previous studies may have resulted from reverse causation, the researchers noted. The current Mendelian randomization analysis also failed to find a causal relationship between Alzheimer’s disease and major depressive disorder. Future studies should examine the genetic heterogeneity of depression syndromes to test for causal relationships between subtypes of depression with distinct causes and Alzheimer’s disease.

Mendelian randomization compares individuals who have different genetic profiles for a given exposure. “Given that genetic variants are inherited at random, these two groups are comparable, and any differences are not likely to be due to other associated factors,” such as confounding bias, said corresponding author Abbas Dehghan, PhD, reader in cardiometabolic disease epidemiology at Imperial College London. “Moreover, given that genetic information is constant over the lifetime, the chances for reverse causation are small.”

The findings were published online August 19 in Neurology.

Causal questions

Many patients with late-life neurodegenerative disorders such as Alzheimer’s disease have comorbid depression, but whether these two disorders have a causal relationship or common risk factors has been unclear, the investigators noted. Abnormal sleep patterns are symptoms of both depression and Alzheimer’s disease. Abnormal sleep is also associated with cognitive decline and anxiety.

The researchers hypothesized that sleep causally affects major depressive disorder and Alzheimer’s disease but that there is no causal relationship between major depressive disorder and Alzheimer’s disease. They conducted a bidirectional, two-sample Mendelian randomization study to test these hypotheses.

The investigators conducted genomewide association studies (GWASs) using data from the prospective, population-based U.K. Biobank. Sleep phenotypes were measured by self-report or accelerometer. Genetic associations were derived from 403,195 patients for chronotype, 237,627 patients for insomnia, 446,118 people for sleep duration, and 85,670 people for accelerometer-derived phenotypes.

Two binary variables from sleep duration were derived: short sleep (duration of less than 7 hours) and long sleep (duration of 9 or more hours). A sleep episode was defined as a period of at least 5 minutes with a change on the dorsal-ventral axis of less than 5 degrees. The durations of all sleep episodes were added to calculate total sleep duration.

Major depressive disorder was diagnosed clinically in accordance with DSM-IV criteria. Genetic associations were derived from 9,240 case patients and 9,519 control participants. Alzheimer’s disease was diagnosed on the basis of physician examination or autopsy results. Genetic associations were obtained from a meta-analysis of GWAS on participants of European ancestry in the International Genomics of Alzheimer’s Project, which included 21,982 case patients and 41,944 control participants.

More risk factor research needed

Results showed no causal relationships between sleep-related phenotypes and major depressive disorder in either direction. Causal relationships between major depressive disorder and Alzheimer’s disease were found in both directions, but neither was statistically significant.

A genetically higher risk for Alzheimer’s disease was associated with being a “morning person,” being at decreased risk for insomnia, having shorter sleep duration on self-report and accelerometer, having decreased likelihood of reporting long sleep, having an earlier timing of the least active 5 hours, and having a smaller number of sleep episodes. However, no analysis supported a causal effect of sleep-related phenotypes on risk for Alzheimer’s disease.

Because APOE4 can influence disease processes that may contribute to Alzheimer’s disease risk, the investigators also conducted a sensitivity analysis that excluded APOE single-nucleotide polymorphisms. In this analysis, the causal associations of Alzheimer’s disease with self-reported and accelerometer-based sleep duration were not significant. The sensitivity analysis did support the other causal associations between Alzheimer’s disease and sleep phenotypes, however.

The causal associations between major depressive disorder and Alzheimer’s disease observed in other studies may have been the result of confounding, and the participants may have had other associated characteristics that put them at risk for the disease, said Dr. Dehghan. Furthermore, the previous studies considered various sleep phenotypes together, whereas in the current study, the investigators examined them separately.

The results suggest that preclinical and clinical Alzheimer’s disease may affect sleep phenotypes differently. Sleep management thus could be an important approach to improving quality of life for patients with Alzheimer’s disease, the researchers wrote.

“Our study indicates that depression and sleep disorders are not likely to be a causal factor for Alzheimer’s disease,” Dr. Dehghan said. “We need to search for other risk factors for the prevention of Alzheimer’s disease.”

Several strengths, lacks details

Walter A. Kukull, PhD, professor of epidemiology and director of the National Alzheimer’s Coordinating Center at the University of Washington, Seattle, noted that the investigators appear to have implemented their chosen methods of causal association analysis well. “They attempted to examine the direction of the causal arrow for risk factors … and that is a step usually not well examined in other studies.”

He added that the collection of objective measures, such as of sleep, is another strength of the study.

However, “the common weakness of the basic GWAS sample is that clinical symptomatology determined Alzheimer’s disease diagnosis. Thus, asymptomatic or very mildly symptomatic persons with Alzheimer’s disease pathology in their brains were likely included among normal controls,” said Dr. Kukull, who was not involved with the research.

Because of an apparent lack of biomarker data, patients who had been diagnosed with Alzheimer’s disease may in fact have had a different form of dementia. Given the nature of their data, the investigators could have done little to compensate for these possibilities, Dr. Kukull added. In addition, the article lacks details that would improve the interpretation of the results.

“Timing is everything with regard to potential associations between risk factor and outcome,” Dr. Kukull said. “With the exceptions of genes, it would be nice to know more about the timing of risk factors’ onset and Alzheimer’s disease onset.”

Still, the results indicate potential areas of future study, he noted. “Primarily, further research must address the question of pathological onset of disease and misclassification of diagnosis in both cases and controls due to lack of biomarker-confirmed diagnosis. Then research can also struggle with the timing of potential risk factors with respect to disease.”

The study was funded by the U.K. Dementia Research Institute. Dr. Dehghan and Dr. Kukull reported no relevant financial relationships.

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

Alzheimer’s disease may have a causal effect on sleep patterns, but disturbed sleep does not appear to cause Alzheimer’s disease, new research suggests.

The causal association between disturbed sleep and Alzheimer’s disease that has been observed in previous studies may have resulted from reverse causation, the researchers noted. The current Mendelian randomization analysis also failed to find a causal relationship between Alzheimer’s disease and major depressive disorder. Future studies should examine the genetic heterogeneity of depression syndromes to test for causal relationships between subtypes of depression with distinct causes and Alzheimer’s disease.

Mendelian randomization compares individuals who have different genetic profiles for a given exposure. “Given that genetic variants are inherited at random, these two groups are comparable, and any differences are not likely to be due to other associated factors,” such as confounding bias, said corresponding author Abbas Dehghan, PhD, reader in cardiometabolic disease epidemiology at Imperial College London. “Moreover, given that genetic information is constant over the lifetime, the chances for reverse causation are small.”

The findings were published online August 19 in Neurology.

Causal questions

Many patients with late-life neurodegenerative disorders such as Alzheimer’s disease have comorbid depression, but whether these two disorders have a causal relationship or common risk factors has been unclear, the investigators noted. Abnormal sleep patterns are symptoms of both depression and Alzheimer’s disease. Abnormal sleep is also associated with cognitive decline and anxiety.

The researchers hypothesized that sleep causally affects major depressive disorder and Alzheimer’s disease but that there is no causal relationship between major depressive disorder and Alzheimer’s disease. They conducted a bidirectional, two-sample Mendelian randomization study to test these hypotheses.

The investigators conducted genomewide association studies (GWASs) using data from the prospective, population-based U.K. Biobank. Sleep phenotypes were measured by self-report or accelerometer. Genetic associations were derived from 403,195 patients for chronotype, 237,627 patients for insomnia, 446,118 people for sleep duration, and 85,670 people for accelerometer-derived phenotypes.

Two binary variables from sleep duration were derived: short sleep (duration of less than 7 hours) and long sleep (duration of 9 or more hours). A sleep episode was defined as a period of at least 5 minutes with a change on the dorsal-ventral axis of less than 5 degrees. The durations of all sleep episodes were added to calculate total sleep duration.

Major depressive disorder was diagnosed clinically in accordance with DSM-IV criteria. Genetic associations were derived from 9,240 case patients and 9,519 control participants. Alzheimer’s disease was diagnosed on the basis of physician examination or autopsy results. Genetic associations were obtained from a meta-analysis of GWAS on participants of European ancestry in the International Genomics of Alzheimer’s Project, which included 21,982 case patients and 41,944 control participants.

More risk factor research needed

Results showed no causal relationships between sleep-related phenotypes and major depressive disorder in either direction. Causal relationships between major depressive disorder and Alzheimer’s disease were found in both directions, but neither was statistically significant.

A genetically higher risk for Alzheimer’s disease was associated with being a “morning person,” being at decreased risk for insomnia, having shorter sleep duration on self-report and accelerometer, having decreased likelihood of reporting long sleep, having an earlier timing of the least active 5 hours, and having a smaller number of sleep episodes. However, no analysis supported a causal effect of sleep-related phenotypes on risk for Alzheimer’s disease.

Because APOE4 can influence disease processes that may contribute to Alzheimer’s disease risk, the investigators also conducted a sensitivity analysis that excluded APOE single-nucleotide polymorphisms. In this analysis, the causal associations of Alzheimer’s disease with self-reported and accelerometer-based sleep duration were not significant. The sensitivity analysis did support the other causal associations between Alzheimer’s disease and sleep phenotypes, however.

The causal associations between major depressive disorder and Alzheimer’s disease observed in other studies may have been the result of confounding, and the participants may have had other associated characteristics that put them at risk for the disease, said Dr. Dehghan. Furthermore, the previous studies considered various sleep phenotypes together, whereas in the current study, the investigators examined them separately.

The results suggest that preclinical and clinical Alzheimer’s disease may affect sleep phenotypes differently. Sleep management thus could be an important approach to improving quality of life for patients with Alzheimer’s disease, the researchers wrote.

“Our study indicates that depression and sleep disorders are not likely to be a causal factor for Alzheimer’s disease,” Dr. Dehghan said. “We need to search for other risk factors for the prevention of Alzheimer’s disease.”

Several strengths, lacks details

Walter A. Kukull, PhD, professor of epidemiology and director of the National Alzheimer’s Coordinating Center at the University of Washington, Seattle, noted that the investigators appear to have implemented their chosen methods of causal association analysis well. “They attempted to examine the direction of the causal arrow for risk factors … and that is a step usually not well examined in other studies.”

He added that the collection of objective measures, such as of sleep, is another strength of the study.

However, “the common weakness of the basic GWAS sample is that clinical symptomatology determined Alzheimer’s disease diagnosis. Thus, asymptomatic or very mildly symptomatic persons with Alzheimer’s disease pathology in their brains were likely included among normal controls,” said Dr. Kukull, who was not involved with the research.

Because of an apparent lack of biomarker data, patients who had been diagnosed with Alzheimer’s disease may in fact have had a different form of dementia. Given the nature of their data, the investigators could have done little to compensate for these possibilities, Dr. Kukull added. In addition, the article lacks details that would improve the interpretation of the results.

“Timing is everything with regard to potential associations between risk factor and outcome,” Dr. Kukull said. “With the exceptions of genes, it would be nice to know more about the timing of risk factors’ onset and Alzheimer’s disease onset.”

Still, the results indicate potential areas of future study, he noted. “Primarily, further research must address the question of pathological onset of disease and misclassification of diagnosis in both cases and controls due to lack of biomarker-confirmed diagnosis. Then research can also struggle with the timing of potential risk factors with respect to disease.”

The study was funded by the U.K. Dementia Research Institute. Dr. Dehghan and Dr. Kukull reported no relevant financial relationships.

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

Alzheimer’s disease may have a causal effect on sleep patterns, but disturbed sleep does not appear to cause Alzheimer’s disease, new research suggests.

The causal association between disturbed sleep and Alzheimer’s disease that has been observed in previous studies may have resulted from reverse causation, the researchers noted. The current Mendelian randomization analysis also failed to find a causal relationship between Alzheimer’s disease and major depressive disorder. Future studies should examine the genetic heterogeneity of depression syndromes to test for causal relationships between subtypes of depression with distinct causes and Alzheimer’s disease.

Mendelian randomization compares individuals who have different genetic profiles for a given exposure. “Given that genetic variants are inherited at random, these two groups are comparable, and any differences are not likely to be due to other associated factors,” such as confounding bias, said corresponding author Abbas Dehghan, PhD, reader in cardiometabolic disease epidemiology at Imperial College London. “Moreover, given that genetic information is constant over the lifetime, the chances for reverse causation are small.”

The findings were published online August 19 in Neurology.

Causal questions

Many patients with late-life neurodegenerative disorders such as Alzheimer’s disease have comorbid depression, but whether these two disorders have a causal relationship or common risk factors has been unclear, the investigators noted. Abnormal sleep patterns are symptoms of both depression and Alzheimer’s disease. Abnormal sleep is also associated with cognitive decline and anxiety.

The researchers hypothesized that sleep causally affects major depressive disorder and Alzheimer’s disease but that there is no causal relationship between major depressive disorder and Alzheimer’s disease. They conducted a bidirectional, two-sample Mendelian randomization study to test these hypotheses.

The investigators conducted genomewide association studies (GWASs) using data from the prospective, population-based U.K. Biobank. Sleep phenotypes were measured by self-report or accelerometer. Genetic associations were derived from 403,195 patients for chronotype, 237,627 patients for insomnia, 446,118 people for sleep duration, and 85,670 people for accelerometer-derived phenotypes.

Two binary variables from sleep duration were derived: short sleep (duration of less than 7 hours) and long sleep (duration of 9 or more hours). A sleep episode was defined as a period of at least 5 minutes with a change on the dorsal-ventral axis of less than 5 degrees. The durations of all sleep episodes were added to calculate total sleep duration.

Major depressive disorder was diagnosed clinically in accordance with DSM-IV criteria. Genetic associations were derived from 9,240 case patients and 9,519 control participants. Alzheimer’s disease was diagnosed on the basis of physician examination or autopsy results. Genetic associations were obtained from a meta-analysis of GWAS on participants of European ancestry in the International Genomics of Alzheimer’s Project, which included 21,982 case patients and 41,944 control participants.

More risk factor research needed

Results showed no causal relationships between sleep-related phenotypes and major depressive disorder in either direction. Causal relationships between major depressive disorder and Alzheimer’s disease were found in both directions, but neither was statistically significant.

A genetically higher risk for Alzheimer’s disease was associated with being a “morning person,” being at decreased risk for insomnia, having shorter sleep duration on self-report and accelerometer, having decreased likelihood of reporting long sleep, having an earlier timing of the least active 5 hours, and having a smaller number of sleep episodes. However, no analysis supported a causal effect of sleep-related phenotypes on risk for Alzheimer’s disease.

Because APOE4 can influence disease processes that may contribute to Alzheimer’s disease risk, the investigators also conducted a sensitivity analysis that excluded APOE single-nucleotide polymorphisms. In this analysis, the causal associations of Alzheimer’s disease with self-reported and accelerometer-based sleep duration were not significant. The sensitivity analysis did support the other causal associations between Alzheimer’s disease and sleep phenotypes, however.

The causal associations between major depressive disorder and Alzheimer’s disease observed in other studies may have been the result of confounding, and the participants may have had other associated characteristics that put them at risk for the disease, said Dr. Dehghan. Furthermore, the previous studies considered various sleep phenotypes together, whereas in the current study, the investigators examined them separately.

The results suggest that preclinical and clinical Alzheimer’s disease may affect sleep phenotypes differently. Sleep management thus could be an important approach to improving quality of life for patients with Alzheimer’s disease, the researchers wrote.

“Our study indicates that depression and sleep disorders are not likely to be a causal factor for Alzheimer’s disease,” Dr. Dehghan said. “We need to search for other risk factors for the prevention of Alzheimer’s disease.”

Several strengths, lacks details

Walter A. Kukull, PhD, professor of epidemiology and director of the National Alzheimer’s Coordinating Center at the University of Washington, Seattle, noted that the investigators appear to have implemented their chosen methods of causal association analysis well. “They attempted to examine the direction of the causal arrow for risk factors … and that is a step usually not well examined in other studies.”

He added that the collection of objective measures, such as of sleep, is another strength of the study.

However, “the common weakness of the basic GWAS sample is that clinical symptomatology determined Alzheimer’s disease diagnosis. Thus, asymptomatic or very mildly symptomatic persons with Alzheimer’s disease pathology in their brains were likely included among normal controls,” said Dr. Kukull, who was not involved with the research.

Because of an apparent lack of biomarker data, patients who had been diagnosed with Alzheimer’s disease may in fact have had a different form of dementia. Given the nature of their data, the investigators could have done little to compensate for these possibilities, Dr. Kukull added. In addition, the article lacks details that would improve the interpretation of the results.

“Timing is everything with regard to potential associations between risk factor and outcome,” Dr. Kukull said. “With the exceptions of genes, it would be nice to know more about the timing of risk factors’ onset and Alzheimer’s disease onset.”

Still, the results indicate potential areas of future study, he noted. “Primarily, further research must address the question of pathological onset of disease and misclassification of diagnosis in both cases and controls due to lack of biomarker-confirmed diagnosis. Then research can also struggle with the timing of potential risk factors with respect to disease.”

The study was funded by the U.K. Dementia Research Institute. Dr. Dehghan and Dr. Kukull reported no relevant financial relationships.

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

Patients have often been labeled as “poor historians” if they are not able to recollect their own medical history, whether through illness or difficulties in communication. But Fred Ovsiew, MD, speaking at Focus on Neuropsychiatry presented by Current Psychiatry and the American Academy of Clinical Psychiatrists, sees that label as an excuse on the part of the clinician.

“I strongly advise you to drop that phrase from your vocabulary if you do use it, because the patient is not the historian. The doctor, the clinician is the historian,” Dr. Ovsiew said at the meeting, presented by Global Academy for Medical Education. “It is the clinician’s job to put the story together using the account by the patient as one source, but [also] interviewing a collateral informant and/or reviewing records, which is necessary in almost every case of a neuropsychiatric illness.”

Rather, clinicians taking history at the bedside should focus on why the patients cannot give a narrative account of their illness. Patients can have narrative incapacity on a psychogenic basis, such as in patients with conversion or somatoform disorder, he explained. “I think this is a result of the narrative incapacity that develops in people who have had trauma or adverse experiences in childhood and insecure attachment. This is shown on the adult attachment interview as a disorganized account of their childhoods.”

Other patients might not be able to recount their medical history because they are amnestic, which leaves their account vague because of a lack of access to information. “It may be frozen in time in the sense that, up to a certain point in their life, they can recount the history,” Dr. Ovsiew said. “But in recent years, their account becomes vague.”

Patients with right hemisphere lesions might not know that their account has incongruity and is implausible, while patients with dorsolateral prefrontal lesions might be aspontaneous, use few words to describe their situation, and have poor insight. Those with ventromedial prefrontal lesions can be impulsive and have poor insight, not considering alternative possibilities, Dr. Ovsiew noted.

Asking open-ended questions of the patient is the first step to identifying any potential narrative incapacity, followed by a detailed medical history by the clinician. When taking a medical history, try avoiding what Dr. Ovsiew calls the “anything like that?” problem, where a clinician asks a question about a cluster of symptoms that would make sense to a doctor, but not a patient. For example, a doctor might ask whether a patient is experiencing “chest pain or leg swelling – anything like that?” because he or she knows what those symptoms have in common, but the patient might not know the relationship between those symptoms. “You can’t count on the patient to tell you all the relevant information,” he said. “You have to know what to ask about.”

“Patients with brain disease have subtle personality changes, sometimes more obvious personality changes. These need to be inquired about,” Dr. Ovsiew said. He encouraged asking “non-DSM questions” to help identify specific symptoms of a neuropsychiatric illness. “The patient with apathy has reduced negative as well as positive emotions. The patient with depression has reduced positive emotions, but often tells you very clearly about the negative emotions of sadness, guilt. The patient with depression has diurnal variation in mood, a very telling symptom, especially when it’s disclosed spontaneously,” Dr. Ovsiew explained. “The point is, you need to know to ask about it.”

When taking a sleep history, clinicians should be aware of sleep disturbances apart from insomnia and early waking. REM sleep behavior disorder is a condition that should be inquired about. Obstructive sleep apnea is a condition that might not be immediately apparent to the patient, but a bed partner can identify whether a patient has problems breathing throughout the night.

“This is an important condition to uncover for the neuropsychiatrist because it contributes to treatment resistance and depression, and it contributes to cognitive impairment,” Dr. Ovsiew said. “These patients commonly have mild difficulties with attention and concentration.”

Always ask about head injury in every history, which can be relevant to later onset depression, PTSD, and cognitive impairment. Every head injury follows a trajectory of retrograde amnesia and altered state of consciousness (including coma), followed by a period of posttraumatic amnesia. Duration of these states can be used to assess the severity of brain injury, but the 15-point Glasgow Coma Scale is another way to assess injury severity, Dr. Ovsiew explained.

However, the two do not always overlap, he noted. “Someone may have a Glasgow Coma Scale score that is 9-12, predicting moderate brain injury, but they may have a short duration of amnesia. These don’t always follow the same path. There are many different ways of classifying how severe the brain injury is.”
 

Keep probes brief, straightforward

Cognitive exams of patients with suspected psychiatric disorders should be simple, easy to administer and focused on a single domain of cognition. “Probes should be brief. They should not require specialized equipment. The Purdue Pegboard Test might be a great neuropsychological instrument, but very few of us carry a pegboard around in our medical bags,” Dr. Ovsiew said.

The probe administered should also be accessible to the patient. The serial sevens clinical test, where a patient is asked to repeatedly subtract 7 from 100, is only effective at testing concentration if the patient is capable of completing the test. “There are going to be patients who can’t do the task, but it’s not because of concentration failure, it’s because of subtraction failure,” he said.

When assessing attention, effective tasks include having the patient perform the digit span test forward and backward, count backward from 20 to 1, listing the months of the year in reverse, and performing the Mental Alternation Test. However, Dr. Ovsiew explained there may be some barriers for patients in completing these tasks. “The person may be aphasic and not know the alphabet. The person may have English as a second language and not be skilled at giving the alphabet in English. In some cases, you may want to check and not assume that the patient can count and does know the alphabet.”

In assessing language, listen for aphasic abnormalities. “The patient, of course, is speaking throughout the interview, but you need to take a moment to listen for prosody, to listen to rate of speech, to listen for paraphasic errors or word-finding problems,” Dr. Ovsiew said. Any abnormalities should be probed further through confrontation naming tasks, which can be done in person and with some success through video, but not by phone. Naming to definition (“What do you call the part of a shirt that covers the arm?”) is one way of administering the test over the phone.

Visuospatial function can be assessed by clock drawing but also carries problems. Patients who do not plan their clock before beginning to draw, for example, may have an executive function problem instead of a visuospatial problem, Dr. Ovsiew noted. Patients in whom a clinician suspects hemineglect should be given a visual search task or line by section task. “I like doing clock drawing. It’s a nice screening test. It’s becoming, I think, less useful as people count on digital clocks and have trouble even imagining what an analog clock looks like.”

An approach that is better suited to in-person assessment, but also works by video, is the Poppelreuter figure visual perceptual function test, which is a prompt for the patient that involves common household items overlaying one another “in atypical positions and atypical configurations” where the patient is instructed to describe the items they see on the card. Another approach that works over video is the interlocking finger test, where the patient is asked to copy the hand positions made by the clinician.

Dr. Ovsiew admitted that visuospatial function is nearly impossible to assess over the phone. Asking topographical questions (“If you’re driving from Chicago to Los Angeles, is the Pacific Ocean in front of you, behind you, to your left, or to your right?”) may help judge visuospatial function, but this relies on the patient having the topographic knowledge to answer the questions. Some patients who are topographically disoriented can’t do them at all,” Dr. Ovsiew said.

Bedside neuropsychiatry assesses encoding of a memory, its retention and its retrieval as well as verbal and visual cues. Each one of these aspects of memory can be impaired on its own and should be explored separately, Dr. Ovsiew explained. “Neuropsychiatric clinicians have a rough-and-ready, seat-of-the-pants way of approaching this that wouldn’t pass muster if you’re a psychologist, but is the best we can do at the bedside.”

To test retrieval and retention, the Three Words–Three Shapes test works well in person, with some difficulty by video, and is not possible to administer over the phone. In lieu of that test, giving the patient a simple word list and asking them to repeat the list in order. Using the word list, “these different stages of memory function can be parsed out pretty well at the bedside or chairside, and even by the phone. Figuring out where the memory failure is diagnostically important,” Dr. Ovsiew said.

Executive function, which involves activation, planning, sequencing, maintaining, self-monitoring, and flexible employment of action and attention, is “complicated to evaluate because there are multiple aspects of executive function, multiple deficits that can be seen with executive dysfunction, and they don’t all correlate with each other.”

Within executive function evaluation, the Mental Alternation Test can assess working memory, motor sequencing can be assessed through the ring/fist, fist/edge/palm, alternating fist, and rampart tests. The Go/No-Go test can be used to assess response inhibition. For effortful retrieval evaluation, spontaneous word-list generation – such as thinking of all the items one can buy at a supermarket– can test category fluency, while a task to name all the words starting with a certain letter can assess letter stimulus.

Executive function “is of crucial importance in the neuropsychiatric evaluation because it’s strongly correlated with how well the person functions outside the office,” Dr. Ovsiew said.

Global Academy and this news organization are owned by the same parent company. Dr. Ovsiew reported relationships with Wolters Kluwer Health in the form of consulting, receiving royalty payments, and related activities.

Patients have often been labeled as “poor historians” if they are not able to recollect their own medical history, whether through illness or difficulties in communication. But Fred Ovsiew, MD, speaking at Focus on Neuropsychiatry presented by Current Psychiatry and the American Academy of Clinical Psychiatrists, sees that label as an excuse on the part of the clinician.

“I strongly advise you to drop that phrase from your vocabulary if you do use it, because the patient is not the historian. The doctor, the clinician is the historian,” Dr. Ovsiew said at the meeting, presented by Global Academy for Medical Education. “It is the clinician’s job to put the story together using the account by the patient as one source, but [also] interviewing a collateral informant and/or reviewing records, which is necessary in almost every case of a neuropsychiatric illness.”

Rather, clinicians taking history at the bedside should focus on why the patients cannot give a narrative account of their illness. Patients can have narrative incapacity on a psychogenic basis, such as in patients with conversion or somatoform disorder, he explained. “I think this is a result of the narrative incapacity that develops in people who have had trauma or adverse experiences in childhood and insecure attachment. This is shown on the adult attachment interview as a disorganized account of their childhoods.”

Other patients might not be able to recount their medical history because they are amnestic, which leaves their account vague because of a lack of access to information. “It may be frozen in time in the sense that, up to a certain point in their life, they can recount the history,” Dr. Ovsiew said. “But in recent years, their account becomes vague.”

Patients with right hemisphere lesions might not know that their account has incongruity and is implausible, while patients with dorsolateral prefrontal lesions might be aspontaneous, use few words to describe their situation, and have poor insight. Those with ventromedial prefrontal lesions can be impulsive and have poor insight, not considering alternative possibilities, Dr. Ovsiew noted.

Asking open-ended questions of the patient is the first step to identifying any potential narrative incapacity, followed by a detailed medical history by the clinician. When taking a medical history, try avoiding what Dr. Ovsiew calls the “anything like that?” problem, where a clinician asks a question about a cluster of symptoms that would make sense to a doctor, but not a patient. For example, a doctor might ask whether a patient is experiencing “chest pain or leg swelling – anything like that?” because he or she knows what those symptoms have in common, but the patient might not know the relationship between those symptoms. “You can’t count on the patient to tell you all the relevant information,” he said. “You have to know what to ask about.”

“Patients with brain disease have subtle personality changes, sometimes more obvious personality changes. These need to be inquired about,” Dr. Ovsiew said. He encouraged asking “non-DSM questions” to help identify specific symptoms of a neuropsychiatric illness. “The patient with apathy has reduced negative as well as positive emotions. The patient with depression has reduced positive emotions, but often tells you very clearly about the negative emotions of sadness, guilt. The patient with depression has diurnal variation in mood, a very telling symptom, especially when it’s disclosed spontaneously,” Dr. Ovsiew explained. “The point is, you need to know to ask about it.”

When taking a sleep history, clinicians should be aware of sleep disturbances apart from insomnia and early waking. REM sleep behavior disorder is a condition that should be inquired about. Obstructive sleep apnea is a condition that might not be immediately apparent to the patient, but a bed partner can identify whether a patient has problems breathing throughout the night.

“This is an important condition to uncover for the neuropsychiatrist because it contributes to treatment resistance and depression, and it contributes to cognitive impairment,” Dr. Ovsiew said. “These patients commonly have mild difficulties with attention and concentration.”

Always ask about head injury in every history, which can be relevant to later onset depression, PTSD, and cognitive impairment. Every head injury follows a trajectory of retrograde amnesia and altered state of consciousness (including coma), followed by a period of posttraumatic amnesia. Duration of these states can be used to assess the severity of brain injury, but the 15-point Glasgow Coma Scale is another way to assess injury severity, Dr. Ovsiew explained.

However, the two do not always overlap, he noted. “Someone may have a Glasgow Coma Scale score that is 9-12, predicting moderate brain injury, but they may have a short duration of amnesia. These don’t always follow the same path. There are many different ways of classifying how severe the brain injury is.”
 

Keep probes brief, straightforward

Cognitive exams of patients with suspected psychiatric disorders should be simple, easy to administer and focused on a single domain of cognition. “Probes should be brief. They should not require specialized equipment. The Purdue Pegboard Test might be a great neuropsychological instrument, but very few of us carry a pegboard around in our medical bags,” Dr. Ovsiew said.

The probe administered should also be accessible to the patient. The serial sevens clinical test, where a patient is asked to repeatedly subtract 7 from 100, is only effective at testing concentration if the patient is capable of completing the test. “There are going to be patients who can’t do the task, but it’s not because of concentration failure, it’s because of subtraction failure,” he said.

When assessing attention, effective tasks include having the patient perform the digit span test forward and backward, count backward from 20 to 1, listing the months of the year in reverse, and performing the Mental Alternation Test. However, Dr. Ovsiew explained there may be some barriers for patients in completing these tasks. “The person may be aphasic and not know the alphabet. The person may have English as a second language and not be skilled at giving the alphabet in English. In some cases, you may want to check and not assume that the patient can count and does know the alphabet.”

In assessing language, listen for aphasic abnormalities. “The patient, of course, is speaking throughout the interview, but you need to take a moment to listen for prosody, to listen to rate of speech, to listen for paraphasic errors or word-finding problems,” Dr. Ovsiew said. Any abnormalities should be probed further through confrontation naming tasks, which can be done in person and with some success through video, but not by phone. Naming to definition (“What do you call the part of a shirt that covers the arm?”) is one way of administering the test over the phone.

Visuospatial function can be assessed by clock drawing but also carries problems. Patients who do not plan their clock before beginning to draw, for example, may have an executive function problem instead of a visuospatial problem, Dr. Ovsiew noted. Patients in whom a clinician suspects hemineglect should be given a visual search task or line by section task. “I like doing clock drawing. It’s a nice screening test. It’s becoming, I think, less useful as people count on digital clocks and have trouble even imagining what an analog clock looks like.”

An approach that is better suited to in-person assessment, but also works by video, is the Poppelreuter figure visual perceptual function test, which is a prompt for the patient that involves common household items overlaying one another “in atypical positions and atypical configurations” where the patient is instructed to describe the items they see on the card. Another approach that works over video is the interlocking finger test, where the patient is asked to copy the hand positions made by the clinician.

Dr. Ovsiew admitted that visuospatial function is nearly impossible to assess over the phone. Asking topographical questions (“If you’re driving from Chicago to Los Angeles, is the Pacific Ocean in front of you, behind you, to your left, or to your right?”) may help judge visuospatial function, but this relies on the patient having the topographic knowledge to answer the questions. Some patients who are topographically disoriented can’t do them at all,” Dr. Ovsiew said.

Bedside neuropsychiatry assesses encoding of a memory, its retention and its retrieval as well as verbal and visual cues. Each one of these aspects of memory can be impaired on its own and should be explored separately, Dr. Ovsiew explained. “Neuropsychiatric clinicians have a rough-and-ready, seat-of-the-pants way of approaching this that wouldn’t pass muster if you’re a psychologist, but is the best we can do at the bedside.”

To test retrieval and retention, the Three Words–Three Shapes test works well in person, with some difficulty by video, and is not possible to administer over the phone. In lieu of that test, giving the patient a simple word list and asking them to repeat the list in order. Using the word list, “these different stages of memory function can be parsed out pretty well at the bedside or chairside, and even by the phone. Figuring out where the memory failure is diagnostically important,” Dr. Ovsiew said.

Executive function, which involves activation, planning, sequencing, maintaining, self-monitoring, and flexible employment of action and attention, is “complicated to evaluate because there are multiple aspects of executive function, multiple deficits that can be seen with executive dysfunction, and they don’t all correlate with each other.”

Within executive function evaluation, the Mental Alternation Test can assess working memory, motor sequencing can be assessed through the ring/fist, fist/edge/palm, alternating fist, and rampart tests. The Go/No-Go test can be used to assess response inhibition. For effortful retrieval evaluation, spontaneous word-list generation – such as thinking of all the items one can buy at a supermarket– can test category fluency, while a task to name all the words starting with a certain letter can assess letter stimulus.

Executive function “is of crucial importance in the neuropsychiatric evaluation because it’s strongly correlated with how well the person functions outside the office,” Dr. Ovsiew said.

Global Academy and this news organization are owned by the same parent company. Dr. Ovsiew reported relationships with Wolters Kluwer Health in the form of consulting, receiving royalty payments, and related activities.

Patients have often been labeled as “poor historians” if they are not able to recollect their own medical history, whether through illness or difficulties in communication. But Fred Ovsiew, MD, speaking at Focus on Neuropsychiatry presented by Current Psychiatry and the American Academy of Clinical Psychiatrists, sees that label as an excuse on the part of the clinician.

“I strongly advise you to drop that phrase from your vocabulary if you do use it, because the patient is not the historian. The doctor, the clinician is the historian,” Dr. Ovsiew said at the meeting, presented by Global Academy for Medical Education. “It is the clinician’s job to put the story together using the account by the patient as one source, but [also] interviewing a collateral informant and/or reviewing records, which is necessary in almost every case of a neuropsychiatric illness.”

Rather, clinicians taking history at the bedside should focus on why the patients cannot give a narrative account of their illness. Patients can have narrative incapacity on a psychogenic basis, such as in patients with conversion or somatoform disorder, he explained. “I think this is a result of the narrative incapacity that develops in people who have had trauma or adverse experiences in childhood and insecure attachment. This is shown on the adult attachment interview as a disorganized account of their childhoods.”

Other patients might not be able to recount their medical history because they are amnestic, which leaves their account vague because of a lack of access to information. “It may be frozen in time in the sense that, up to a certain point in their life, they can recount the history,” Dr. Ovsiew said. “But in recent years, their account becomes vague.”

Patients with right hemisphere lesions might not know that their account has incongruity and is implausible, while patients with dorsolateral prefrontal lesions might be aspontaneous, use few words to describe their situation, and have poor insight. Those with ventromedial prefrontal lesions can be impulsive and have poor insight, not considering alternative possibilities, Dr. Ovsiew noted.

Asking open-ended questions of the patient is the first step to identifying any potential narrative incapacity, followed by a detailed medical history by the clinician. When taking a medical history, try avoiding what Dr. Ovsiew calls the “anything like that?” problem, where a clinician asks a question about a cluster of symptoms that would make sense to a doctor, but not a patient. For example, a doctor might ask whether a patient is experiencing “chest pain or leg swelling – anything like that?” because he or she knows what those symptoms have in common, but the patient might not know the relationship between those symptoms. “You can’t count on the patient to tell you all the relevant information,” he said. “You have to know what to ask about.”

“Patients with brain disease have subtle personality changes, sometimes more obvious personality changes. These need to be inquired about,” Dr. Ovsiew said. He encouraged asking “non-DSM questions” to help identify specific symptoms of a neuropsychiatric illness. “The patient with apathy has reduced negative as well as positive emotions. The patient with depression has reduced positive emotions, but often tells you very clearly about the negative emotions of sadness, guilt. The patient with depression has diurnal variation in mood, a very telling symptom, especially when it’s disclosed spontaneously,” Dr. Ovsiew explained. “The point is, you need to know to ask about it.”

When taking a sleep history, clinicians should be aware of sleep disturbances apart from insomnia and early waking. REM sleep behavior disorder is a condition that should be inquired about. Obstructive sleep apnea is a condition that might not be immediately apparent to the patient, but a bed partner can identify whether a patient has problems breathing throughout the night.

“This is an important condition to uncover for the neuropsychiatrist because it contributes to treatment resistance and depression, and it contributes to cognitive impairment,” Dr. Ovsiew said. “These patients commonly have mild difficulties with attention and concentration.”

Always ask about head injury in every history, which can be relevant to later onset depression, PTSD, and cognitive impairment. Every head injury follows a trajectory of retrograde amnesia and altered state of consciousness (including coma), followed by a period of posttraumatic amnesia. Duration of these states can be used to assess the severity of brain injury, but the 15-point Glasgow Coma Scale is another way to assess injury severity, Dr. Ovsiew explained.

However, the two do not always overlap, he noted. “Someone may have a Glasgow Coma Scale score that is 9-12, predicting moderate brain injury, but they may have a short duration of amnesia. These don’t always follow the same path. There are many different ways of classifying how severe the brain injury is.”
 

Keep probes brief, straightforward

Cognitive exams of patients with suspected psychiatric disorders should be simple, easy to administer and focused on a single domain of cognition. “Probes should be brief. They should not require specialized equipment. The Purdue Pegboard Test might be a great neuropsychological instrument, but very few of us carry a pegboard around in our medical bags,” Dr. Ovsiew said.

The probe administered should also be accessible to the patient. The serial sevens clinical test, where a patient is asked to repeatedly subtract 7 from 100, is only effective at testing concentration if the patient is capable of completing the test. “There are going to be patients who can’t do the task, but it’s not because of concentration failure, it’s because of subtraction failure,” he said.

When assessing attention, effective tasks include having the patient perform the digit span test forward and backward, count backward from 20 to 1, listing the months of the year in reverse, and performing the Mental Alternation Test. However, Dr. Ovsiew explained there may be some barriers for patients in completing these tasks. “The person may be aphasic and not know the alphabet. The person may have English as a second language and not be skilled at giving the alphabet in English. In some cases, you may want to check and not assume that the patient can count and does know the alphabet.”

In assessing language, listen for aphasic abnormalities. “The patient, of course, is speaking throughout the interview, but you need to take a moment to listen for prosody, to listen to rate of speech, to listen for paraphasic errors or word-finding problems,” Dr. Ovsiew said. Any abnormalities should be probed further through confrontation naming tasks, which can be done in person and with some success through video, but not by phone. Naming to definition (“What do you call the part of a shirt that covers the arm?”) is one way of administering the test over the phone.

Visuospatial function can be assessed by clock drawing but also carries problems. Patients who do not plan their clock before beginning to draw, for example, may have an executive function problem instead of a visuospatial problem, Dr. Ovsiew noted. Patients in whom a clinician suspects hemineglect should be given a visual search task or line by section task. “I like doing clock drawing. It’s a nice screening test. It’s becoming, I think, less useful as people count on digital clocks and have trouble even imagining what an analog clock looks like.”

An approach that is better suited to in-person assessment, but also works by video, is the Poppelreuter figure visual perceptual function test, which is a prompt for the patient that involves common household items overlaying one another “in atypical positions and atypical configurations” where the patient is instructed to describe the items they see on the card. Another approach that works over video is the interlocking finger test, where the patient is asked to copy the hand positions made by the clinician.

Dr. Ovsiew admitted that visuospatial function is nearly impossible to assess over the phone. Asking topographical questions (“If you’re driving from Chicago to Los Angeles, is the Pacific Ocean in front of you, behind you, to your left, or to your right?”) may help judge visuospatial function, but this relies on the patient having the topographic knowledge to answer the questions. Some patients who are topographically disoriented can’t do them at all,” Dr. Ovsiew said.

Bedside neuropsychiatry assesses encoding of a memory, its retention and its retrieval as well as verbal and visual cues. Each one of these aspects of memory can be impaired on its own and should be explored separately, Dr. Ovsiew explained. “Neuropsychiatric clinicians have a rough-and-ready, seat-of-the-pants way of approaching this that wouldn’t pass muster if you’re a psychologist, but is the best we can do at the bedside.”

To test retrieval and retention, the Three Words–Three Shapes test works well in person, with some difficulty by video, and is not possible to administer over the phone. In lieu of that test, giving the patient a simple word list and asking them to repeat the list in order. Using the word list, “these different stages of memory function can be parsed out pretty well at the bedside or chairside, and even by the phone. Figuring out where the memory failure is diagnostically important,” Dr. Ovsiew said.

Executive function, which involves activation, planning, sequencing, maintaining, self-monitoring, and flexible employment of action and attention, is “complicated to evaluate because there are multiple aspects of executive function, multiple deficits that can be seen with executive dysfunction, and they don’t all correlate with each other.”

Within executive function evaluation, the Mental Alternation Test can assess working memory, motor sequencing can be assessed through the ring/fist, fist/edge/palm, alternating fist, and rampart tests. The Go/No-Go test can be used to assess response inhibition. For effortful retrieval evaluation, spontaneous word-list generation – such as thinking of all the items one can buy at a supermarket– can test category fluency, while a task to name all the words starting with a certain letter can assess letter stimulus.

Executive function “is of crucial importance in the neuropsychiatric evaluation because it’s strongly correlated with how well the person functions outside the office,” Dr. Ovsiew said.

Global Academy and this news organization are owned by the same parent company. Dr. Ovsiew reported relationships with Wolters Kluwer Health in the form of consulting, receiving royalty payments, and related activities.

Periodontal disease is associated with later development of mild cognitive impairmen  (MCI) or dementia, especially in those with severe gum inflammation and edentulism, new research suggests.

Over a 20-year period, investigators prospectively followed more than 8,000 individuals aged around 63 years who did not have cognitive impairment or dementia at baseline, grouping them based on the extent and severity of their periodontal disease and number of lost teeth.

Results showed that 14% of participants with healthy gums and all their teeth at baseline developed dementia, compared with 18% of those with mild periodontal disease and 22% who had severe periodontal disease. The highest percentage (23%) of participants who developed dementia was found in those who were edentulous.

After accounting for comorbidities that might affect dementia risk, edentulous participants had a 20% higher risk for developing MCI or dementia, compared with the healthy group.

Because the study was observational, “we don’t have knowledge of causality so we cannot state that if you treat periodontal disease you can prevent or treat dementia,” said lead author Ryan T. Demmer, PhD, MPH, associate professor, division of epidemiology and community health, University of Minnesota, Minneapolis. However, “the take-home message from this paper is that it further supports the possibility that oral infections could be a risk factor for dementia.”

The study was published online July 29 in Neurology.

The ARIC trial

Prior studies have “described the interrelation of tooth loss or periodontal disease and cognitive outcomes, although many reports were cross-sectional or case-control … and often lacked robust confounder adjustment,” the investigators noted. Additionally, lack of longitudinal data impedes the “potential for baseline periodontal status to predict incident MCI.”

To explore the associations between periodontal status and incident MCI and dementia, the researchers studied participants in the ARIC study, a community-based longitudinal cohort consisting of 15,792 predominantly Black and White participants aged 45-64 years. The current analysis included 8,275 individuals (55% women; 21% black; mean age, 63 years) who at baseline did not meet criteria for dementia or MCI.

A full-mouth periodontal examination was conducted at baseline and participants were categorized according to the severity and extent of gingival inflammation and tooth attachment loss based on the Periodontal Profile Class (PPC) seven-category model. Potential confounding variables included age, race, education level, physical activity, smoking status, oral hygiene and access to care, plasma lipid levels, APOE genotype, body mass index, blood pressure, type 2 diabetes, and heart failure.

Based on PPC categorization, 22% of the patients had healthy gums, 12% had mild periodontal disease, 8% had a high gingival inflammation index, and 12% had posterior disease (with 6% having severe disease). In addition, 9% had tooth loss, 11% had severe tooth loss, and 20% were edentulous.

Infection hypothesis

Results showed that participants with worse periodontal status were more likely to have risk factors for vascular disease and dementia, such as smoking, hypertension, diabetes, and coronary heart disease. During median follow-up of 18.4 years, 19% of participants overall (n = 1,569) developed dementia, translating into 11.8 cases per 1,000 person-years. There were notable differences between the PPC categories in rates of incident dementia, with edentulous participants at twice the risk for developing dementia, compared with those who had healthy gums.

For participants with severe PPC, including severe tooth loss and severe disease, the multivariable-adjusted hazard ratio for incident dementia was 1.22 (95% confidence interval, 1.01-1.47) versus those who were periodontally healthy. For participants with edentulism, the HR was 1.21 (95% CI, 0.99-1.48). The adjusted risk ratios for the combined dementia/MCI outcome among participants with mild to intermediate PPC, severe PPC, or edentulism versus the periodontal healthy group were 1.22 (95% CI, 1.00-1.48), 1.15 (95% CI, 0.88-1.51), and 1.90 (95% CI, 1.40-2.58), respectively.

These findings were most pronounced among younger (median age at dental exam, younger than 62) versus older (62 years and older) participants (P = .02). Severe disease or total tooth loss were associated with an approximately 20% greater dementia incidence during the follow-up period, compared with healthy gums.

The investigators noted that the findings were “generally consistent” when considering the combined outcome of MCI and dementia. However, they noted that the association between edentulism and MCI was “markedly stronger,” with an approximate 100% increase in MCI or MCI plus dementia.

The association between periodontal disease and MCI or dementia “is rooted in the infection hypothesis, meaning adverse microbial exposures in the mucosal surfaces of the mouth, especially the subgingival space,” Dr. Demmer said. “One notion is that there could somehow be a direct infection of the brain with oral organisms, which posits that the oral organism could travel to the brain, colonize there, and cause damage that impairs cognition.”

Another possible mechanism is that chronic systemic inflammation in response to oral infections can eventually lead to vascular disease which, in turn, is a known risk factor for future dementia, he noted.

“Brush and floss”

Commenting on the research findings, James M. Noble, MD, associate professor of neurology, Taub Institute for Research on Alzheimer’s and the Aging Brain, Columbia University, New York, called the study “well characterized both by whole-mouth assessments and cognitive assessments performed in a standardized manner.” Moreover, “the study was sufficiently sized to allow for exploration of age and suggests that oral health may be a more important factor earlier in the course of aging, in late adulthood,” said Dr. Noble, who was not involved with the research.

The study also “makes an important contribution to this field through a rigorously followed cohort and robust design for both periodontal predictor and cognitive outcome assessments,” he said, noting that, “as always, the take-home message is ‘brush and floss.’

“Although we don’t know if treating periodontal disease can help treat dementia, this study suggests that we have to pay attention to good oral hygiene and make referrals to dentists when appropriate,” Dr. Demmer added.

The ARIC trial is carried out as a collaborative study supported by National Heart, Lung, and Blood Institute. Dr. Demmer, the study coauthors, and Dr. Noble have disclosed no relevant financial relationships.

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

Periodontal disease is associated with later development of mild cognitive impairmen  (MCI) or dementia, especially in those with severe gum inflammation and edentulism, new research suggests.

Over a 20-year period, investigators prospectively followed more than 8,000 individuals aged around 63 years who did not have cognitive impairment or dementia at baseline, grouping them based on the extent and severity of their periodontal disease and number of lost teeth.

Results showed that 14% of participants with healthy gums and all their teeth at baseline developed dementia, compared with 18% of those with mild periodontal disease and 22% who had severe periodontal disease. The highest percentage (23%) of participants who developed dementia was found in those who were edentulous.

After accounting for comorbidities that might affect dementia risk, edentulous participants had a 20% higher risk for developing MCI or dementia, compared with the healthy group.

Because the study was observational, “we don’t have knowledge of causality so we cannot state that if you treat periodontal disease you can prevent or treat dementia,” said lead author Ryan T. Demmer, PhD, MPH, associate professor, division of epidemiology and community health, University of Minnesota, Minneapolis. However, “the take-home message from this paper is that it further supports the possibility that oral infections could be a risk factor for dementia.”

The study was published online July 29 in Neurology.

The ARIC trial

Prior studies have “described the interrelation of tooth loss or periodontal disease and cognitive outcomes, although many reports were cross-sectional or case-control … and often lacked robust confounder adjustment,” the investigators noted. Additionally, lack of longitudinal data impedes the “potential for baseline periodontal status to predict incident MCI.”

To explore the associations between periodontal status and incident MCI and dementia, the researchers studied participants in the ARIC study, a community-based longitudinal cohort consisting of 15,792 predominantly Black and White participants aged 45-64 years. The current analysis included 8,275 individuals (55% women; 21% black; mean age, 63 years) who at baseline did not meet criteria for dementia or MCI.

A full-mouth periodontal examination was conducted at baseline and participants were categorized according to the severity and extent of gingival inflammation and tooth attachment loss based on the Periodontal Profile Class (PPC) seven-category model. Potential confounding variables included age, race, education level, physical activity, smoking status, oral hygiene and access to care, plasma lipid levels, APOE genotype, body mass index, blood pressure, type 2 diabetes, and heart failure.

Based on PPC categorization, 22% of the patients had healthy gums, 12% had mild periodontal disease, 8% had a high gingival inflammation index, and 12% had posterior disease (with 6% having severe disease). In addition, 9% had tooth loss, 11% had severe tooth loss, and 20% were edentulous.

Infection hypothesis

Results showed that participants with worse periodontal status were more likely to have risk factors for vascular disease and dementia, such as smoking, hypertension, diabetes, and coronary heart disease. During median follow-up of 18.4 years, 19% of participants overall (n = 1,569) developed dementia, translating into 11.8 cases per 1,000 person-years. There were notable differences between the PPC categories in rates of incident dementia, with edentulous participants at twice the risk for developing dementia, compared with those who had healthy gums.

For participants with severe PPC, including severe tooth loss and severe disease, the multivariable-adjusted hazard ratio for incident dementia was 1.22 (95% confidence interval, 1.01-1.47) versus those who were periodontally healthy. For participants with edentulism, the HR was 1.21 (95% CI, 0.99-1.48). The adjusted risk ratios for the combined dementia/MCI outcome among participants with mild to intermediate PPC, severe PPC, or edentulism versus the periodontal healthy group were 1.22 (95% CI, 1.00-1.48), 1.15 (95% CI, 0.88-1.51), and 1.90 (95% CI, 1.40-2.58), respectively.

These findings were most pronounced among younger (median age at dental exam, younger than 62) versus older (62 years and older) participants (P = .02). Severe disease or total tooth loss were associated with an approximately 20% greater dementia incidence during the follow-up period, compared with healthy gums.

The investigators noted that the findings were “generally consistent” when considering the combined outcome of MCI and dementia. However, they noted that the association between edentulism and MCI was “markedly stronger,” with an approximate 100% increase in MCI or MCI plus dementia.

The association between periodontal disease and MCI or dementia “is rooted in the infection hypothesis, meaning adverse microbial exposures in the mucosal surfaces of the mouth, especially the subgingival space,” Dr. Demmer said. “One notion is that there could somehow be a direct infection of the brain with oral organisms, which posits that the oral organism could travel to the brain, colonize there, and cause damage that impairs cognition.”

Another possible mechanism is that chronic systemic inflammation in response to oral infections can eventually lead to vascular disease which, in turn, is a known risk factor for future dementia, he noted.

“Brush and floss”

Commenting on the research findings, James M. Noble, MD, associate professor of neurology, Taub Institute for Research on Alzheimer’s and the Aging Brain, Columbia University, New York, called the study “well characterized both by whole-mouth assessments and cognitive assessments performed in a standardized manner.” Moreover, “the study was sufficiently sized to allow for exploration of age and suggests that oral health may be a more important factor earlier in the course of aging, in late adulthood,” said Dr. Noble, who was not involved with the research.

The study also “makes an important contribution to this field through a rigorously followed cohort and robust design for both periodontal predictor and cognitive outcome assessments,” he said, noting that, “as always, the take-home message is ‘brush and floss.’

“Although we don’t know if treating periodontal disease can help treat dementia, this study suggests that we have to pay attention to good oral hygiene and make referrals to dentists when appropriate,” Dr. Demmer added.

The ARIC trial is carried out as a collaborative study supported by National Heart, Lung, and Blood Institute. Dr. Demmer, the study coauthors, and Dr. Noble have disclosed no relevant financial relationships.

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

Periodontal disease is associated with later development of mild cognitive impairmen  (MCI) or dementia, especially in those with severe gum inflammation and edentulism, new research suggests.

Over a 20-year period, investigators prospectively followed more than 8,000 individuals aged around 63 years who did not have cognitive impairment or dementia at baseline, grouping them based on the extent and severity of their periodontal disease and number of lost teeth.

Results showed that 14% of participants with healthy gums and all their teeth at baseline developed dementia, compared with 18% of those with mild periodontal disease and 22% who had severe periodontal disease. The highest percentage (23%) of participants who developed dementia was found in those who were edentulous.

After accounting for comorbidities that might affect dementia risk, edentulous participants had a 20% higher risk for developing MCI or dementia, compared with the healthy group.

Because the study was observational, “we don’t have knowledge of causality so we cannot state that if you treat periodontal disease you can prevent or treat dementia,” said lead author Ryan T. Demmer, PhD, MPH, associate professor, division of epidemiology and community health, University of Minnesota, Minneapolis. However, “the take-home message from this paper is that it further supports the possibility that oral infections could be a risk factor for dementia.”

The study was published online July 29 in Neurology.

The ARIC trial

Prior studies have “described the interrelation of tooth loss or periodontal disease and cognitive outcomes, although many reports were cross-sectional or case-control … and often lacked robust confounder adjustment,” the investigators noted. Additionally, lack of longitudinal data impedes the “potential for baseline periodontal status to predict incident MCI.”

To explore the associations between periodontal status and incident MCI and dementia, the researchers studied participants in the ARIC study, a community-based longitudinal cohort consisting of 15,792 predominantly Black and White participants aged 45-64 years. The current analysis included 8,275 individuals (55% women; 21% black; mean age, 63 years) who at baseline did not meet criteria for dementia or MCI.

A full-mouth periodontal examination was conducted at baseline and participants were categorized according to the severity and extent of gingival inflammation and tooth attachment loss based on the Periodontal Profile Class (PPC) seven-category model. Potential confounding variables included age, race, education level, physical activity, smoking status, oral hygiene and access to care, plasma lipid levels, APOE genotype, body mass index, blood pressure, type 2 diabetes, and heart failure.

Based on PPC categorization, 22% of the patients had healthy gums, 12% had mild periodontal disease, 8% had a high gingival inflammation index, and 12% had posterior disease (with 6% having severe disease). In addition, 9% had tooth loss, 11% had severe tooth loss, and 20% were edentulous.

Infection hypothesis

Results showed that participants with worse periodontal status were more likely to have risk factors for vascular disease and dementia, such as smoking, hypertension, diabetes, and coronary heart disease. During median follow-up of 18.4 years, 19% of participants overall (n = 1,569) developed dementia, translating into 11.8 cases per 1,000 person-years. There were notable differences between the PPC categories in rates of incident dementia, with edentulous participants at twice the risk for developing dementia, compared with those who had healthy gums.

For participants with severe PPC, including severe tooth loss and severe disease, the multivariable-adjusted hazard ratio for incident dementia was 1.22 (95% confidence interval, 1.01-1.47) versus those who were periodontally healthy. For participants with edentulism, the HR was 1.21 (95% CI, 0.99-1.48). The adjusted risk ratios for the combined dementia/MCI outcome among participants with mild to intermediate PPC, severe PPC, or edentulism versus the periodontal healthy group were 1.22 (95% CI, 1.00-1.48), 1.15 (95% CI, 0.88-1.51), and 1.90 (95% CI, 1.40-2.58), respectively.

These findings were most pronounced among younger (median age at dental exam, younger than 62) versus older (62 years and older) participants (P = .02). Severe disease or total tooth loss were associated with an approximately 20% greater dementia incidence during the follow-up period, compared with healthy gums.

The investigators noted that the findings were “generally consistent” when considering the combined outcome of MCI and dementia. However, they noted that the association between edentulism and MCI was “markedly stronger,” with an approximate 100% increase in MCI or MCI plus dementia.

The association between periodontal disease and MCI or dementia “is rooted in the infection hypothesis, meaning adverse microbial exposures in the mucosal surfaces of the mouth, especially the subgingival space,” Dr. Demmer said. “One notion is that there could somehow be a direct infection of the brain with oral organisms, which posits that the oral organism could travel to the brain, colonize there, and cause damage that impairs cognition.”

Another possible mechanism is that chronic systemic inflammation in response to oral infections can eventually lead to vascular disease which, in turn, is a known risk factor for future dementia, he noted.

“Brush and floss”

Commenting on the research findings, James M. Noble, MD, associate professor of neurology, Taub Institute for Research on Alzheimer’s and the Aging Brain, Columbia University, New York, called the study “well characterized both by whole-mouth assessments and cognitive assessments performed in a standardized manner.” Moreover, “the study was sufficiently sized to allow for exploration of age and suggests that oral health may be a more important factor earlier in the course of aging, in late adulthood,” said Dr. Noble, who was not involved with the research.

The study also “makes an important contribution to this field through a rigorously followed cohort and robust design for both periodontal predictor and cognitive outcome assessments,” he said, noting that, “as always, the take-home message is ‘brush and floss.’

“Although we don’t know if treating periodontal disease can help treat dementia, this study suggests that we have to pay attention to good oral hygiene and make referrals to dentists when appropriate,” Dr. Demmer added.

The ARIC trial is carried out as a collaborative study supported by National Heart, Lung, and Blood Institute. Dr. Demmer, the study coauthors, and Dr. Noble have disclosed no relevant financial relationships.

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