Poverty promotes flu hospitalizations

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Influenza-related hospitalizations were approximately twice as high among residents of areas where at least 20% of the population lived below the federal poverty level, compared with areas of less poverty, based on data from more than 27 million individuals in the United States.

Census and hospitalization data included 14 states and spanned two flu seasons (2010-2011 and 2011-2012). Overall, the incidence of flu-related hospitalizations was approximately 21 per 100,000 person-years in high-poverty areas, compared with approximately 11 per 100,000 person-years in census areas where less than 5% of the population lived below the poverty level. The data were consistent across all age groups and ethnicities.

Flu vaccination rates were inversely associated with poverty level, ranging from a high of 48% in high-income areas to a low of 35% in areas with the most poverty. This finding, however, was probably caused by lower vaccination rates among adults aged 65 years and older in higher-poverty areas, compared with high-income areas (80% vs. 94%) noted Dr. James L. Hadler of the Yale School of Public Health in New Haven, Conn., and colleagues.

“Enhanced influenza outreach to improve influenza vaccination coverage for persons living in poorer neighborhoods and efforts to increase use of antivirals by clinicians serving these neighborhoods could reduce poverty-related disparities in severe influenza outcomes,” the researchers noted.

The findings were published in the Morbidity and Mortality Weekly Report (MMWR 2016;65[5]:101-5). Read the full article here.

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Influenza-related hospitalizations were approximately twice as high among residents of areas where at least 20% of the population lived below the federal poverty level, compared with areas of less poverty, based on data from more than 27 million individuals in the United States.

Census and hospitalization data included 14 states and spanned two flu seasons (2010-2011 and 2011-2012). Overall, the incidence of flu-related hospitalizations was approximately 21 per 100,000 person-years in high-poverty areas, compared with approximately 11 per 100,000 person-years in census areas where less than 5% of the population lived below the poverty level. The data were consistent across all age groups and ethnicities.

Flu vaccination rates were inversely associated with poverty level, ranging from a high of 48% in high-income areas to a low of 35% in areas with the most poverty. This finding, however, was probably caused by lower vaccination rates among adults aged 65 years and older in higher-poverty areas, compared with high-income areas (80% vs. 94%) noted Dr. James L. Hadler of the Yale School of Public Health in New Haven, Conn., and colleagues.

“Enhanced influenza outreach to improve influenza vaccination coverage for persons living in poorer neighborhoods and efforts to increase use of antivirals by clinicians serving these neighborhoods could reduce poverty-related disparities in severe influenza outcomes,” the researchers noted.

The findings were published in the Morbidity and Mortality Weekly Report (MMWR 2016;65[5]:101-5). Read the full article here.

Influenza-related hospitalizations were approximately twice as high among residents of areas where at least 20% of the population lived below the federal poverty level, compared with areas of less poverty, based on data from more than 27 million individuals in the United States.

Census and hospitalization data included 14 states and spanned two flu seasons (2010-2011 and 2011-2012). Overall, the incidence of flu-related hospitalizations was approximately 21 per 100,000 person-years in high-poverty areas, compared with approximately 11 per 100,000 person-years in census areas where less than 5% of the population lived below the poverty level. The data were consistent across all age groups and ethnicities.

Flu vaccination rates were inversely associated with poverty level, ranging from a high of 48% in high-income areas to a low of 35% in areas with the most poverty. This finding, however, was probably caused by lower vaccination rates among adults aged 65 years and older in higher-poverty areas, compared with high-income areas (80% vs. 94%) noted Dr. James L. Hadler of the Yale School of Public Health in New Haven, Conn., and colleagues.

“Enhanced influenza outreach to improve influenza vaccination coverage for persons living in poorer neighborhoods and efforts to increase use of antivirals by clinicians serving these neighborhoods could reduce poverty-related disparities in severe influenza outcomes,” the researchers noted.

The findings were published in the Morbidity and Mortality Weekly Report (MMWR 2016;65[5]:101-5). Read the full article here.

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What Is Your Diagnosis? Stinkbug Staining

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The Diagnosis: Stinkbug Staining

After discussing management options with the patient including biopsy, we decided that we would photograph the lesion and follow-up in clinic. While dressing, the patient discovered the source of the pigment, a stinkbug, stuck to the corresponding area of the sock.

The brown marmorated stinkbug (Halyomorpha halys)(Figure) is a member of the Pentatomidae family. This insect is native to East Asia and has become an invasive species in the United States. Their presence has recently increased in the eastern United States and they have become an important agricultural pest as well as a household nuisance. Stinkbugs most commonly interact with humans during the fall and winter months when they enter homes because of cooler temperatures outdoors. They can fit into many unexpected places because of their thin profile.1

The brown marmorated stink bug (Halyomorpha halys).

Stinkbugs earned their name because of their defensive release of a malodorous chemical. This chemical is comprised of trans-2-decenal and trans-2-octenal, which are both aldehydes and are chemically related to formaldehyde. Based on the material safety data sheet, trans-2-decenal also may be responsible for the orange-brown color seen on the patient’s skin.2 Contact dermatitis caused by direct excretion of this chemical onto human skin has been reported3; anecdotal reports of irritation in agricultural workers have been noted. Stinkbugs are becoming a more common household and agricultural pest and should be recognized as possible causes of some presentations in the dermatology clinic.

References
  1. Nielsen AL, Hamilton GC. Seasonal occurrence and impact of Halyomorpha halys (Hemiptera: Pentatomidae) in tree fruit. J Econ Entomol. 2009;102:1133-1140.
  2. Material safety data sheet: trans-2-Decenal. https://fscimage.fishersci.com/msds/45077.htm. Published October 24, 1998. Updated November 20, 2008. Accessed January 11, 2016.
  3. Anderson BE, Miller JJ, Adams DR. Irritant contact dermatitis to the brown marmorated stink bug, Halyomorpha halys. Dermatitis. 2012;23:170-172.
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Correspondence: Megan Barry, MD, UVA Department of Dermatology, PO Box 800718, Charlottesville, VA 22908 ([email protected]).

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The Diagnosis: Stinkbug Staining

After discussing management options with the patient including biopsy, we decided that we would photograph the lesion and follow-up in clinic. While dressing, the patient discovered the source of the pigment, a stinkbug, stuck to the corresponding area of the sock.

The brown marmorated stinkbug (Halyomorpha halys)(Figure) is a member of the Pentatomidae family. This insect is native to East Asia and has become an invasive species in the United States. Their presence has recently increased in the eastern United States and they have become an important agricultural pest as well as a household nuisance. Stinkbugs most commonly interact with humans during the fall and winter months when they enter homes because of cooler temperatures outdoors. They can fit into many unexpected places because of their thin profile.1

The brown marmorated stink bug (Halyomorpha halys).

Stinkbugs earned their name because of their defensive release of a malodorous chemical. This chemical is comprised of trans-2-decenal and trans-2-octenal, which are both aldehydes and are chemically related to formaldehyde. Based on the material safety data sheet, trans-2-decenal also may be responsible for the orange-brown color seen on the patient’s skin.2 Contact dermatitis caused by direct excretion of this chemical onto human skin has been reported3; anecdotal reports of irritation in agricultural workers have been noted. Stinkbugs are becoming a more common household and agricultural pest and should be recognized as possible causes of some presentations in the dermatology clinic.

The Diagnosis: Stinkbug Staining

After discussing management options with the patient including biopsy, we decided that we would photograph the lesion and follow-up in clinic. While dressing, the patient discovered the source of the pigment, a stinkbug, stuck to the corresponding area of the sock.

The brown marmorated stinkbug (Halyomorpha halys)(Figure) is a member of the Pentatomidae family. This insect is native to East Asia and has become an invasive species in the United States. Their presence has recently increased in the eastern United States and they have become an important agricultural pest as well as a household nuisance. Stinkbugs most commonly interact with humans during the fall and winter months when they enter homes because of cooler temperatures outdoors. They can fit into many unexpected places because of their thin profile.1

The brown marmorated stink bug (Halyomorpha halys).

Stinkbugs earned their name because of their defensive release of a malodorous chemical. This chemical is comprised of trans-2-decenal and trans-2-octenal, which are both aldehydes and are chemically related to formaldehyde. Based on the material safety data sheet, trans-2-decenal also may be responsible for the orange-brown color seen on the patient’s skin.2 Contact dermatitis caused by direct excretion of this chemical onto human skin has been reported3; anecdotal reports of irritation in agricultural workers have been noted. Stinkbugs are becoming a more common household and agricultural pest and should be recognized as possible causes of some presentations in the dermatology clinic.

References
  1. Nielsen AL, Hamilton GC. Seasonal occurrence and impact of Halyomorpha halys (Hemiptera: Pentatomidae) in tree fruit. J Econ Entomol. 2009;102:1133-1140.
  2. Material safety data sheet: trans-2-Decenal. https://fscimage.fishersci.com/msds/45077.htm. Published October 24, 1998. Updated November 20, 2008. Accessed January 11, 2016.
  3. Anderson BE, Miller JJ, Adams DR. Irritant contact dermatitis to the brown marmorated stink bug, Halyomorpha halys. Dermatitis. 2012;23:170-172.
References
  1. Nielsen AL, Hamilton GC. Seasonal occurrence and impact of Halyomorpha halys (Hemiptera: Pentatomidae) in tree fruit. J Econ Entomol. 2009;102:1133-1140.
  2. Material safety data sheet: trans-2-Decenal. https://fscimage.fishersci.com/msds/45077.htm. Published October 24, 1998. Updated November 20, 2008. Accessed January 11, 2016.
  3. Anderson BE, Miller JJ, Adams DR. Irritant contact dermatitis to the brown marmorated stink bug, Halyomorpha halys. Dermatitis. 2012;23:170-172.
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A 56-year-old woman presented at the clinic for a total-body skin examination. A pigmented lesion was found on the medial aspect of the left first toe during the examination. The patient did not recognize this spot as a long-standing nevus. The area was scrubbed vigorously with an alcohol swab, which did not change the pigment. Clinically the lesion was concerning for an atypical nevus. Dermoscopic examination showed an unusual pattern with pigment deposition in ridges and on furrows.

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Overuse of Antibiotics for Acne Vulgaris: Too Much of a Good Thing

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In recent years, resistance to antimicrobial drugs has become increasingly widespread, resulting in a health threat of epidemic proportions. The long list of drug-resistant bacteria continues to expand at an accelerated pace. What does this mean in the dermatology world? We are not the only problem but are certainly part of the problem, representing 5% of all antibiotic prescriptions annually even though we represent only 1% of all physicians in the United States. These prescriptions certainly do not just include skin and soft tissue functions, as a survey-based study by Chouake et al (J Drugs Dermatol. 2014;13:119-124.) showed that dermatologists are overusing antibiotics in the treatment of simple skin abscesses such as acne vulgaris, one of the most common inflammatory skin diseases.

Although the inappropriate utilization of antibiotics for acne has been a subject of great discourse for years, it recently reentered the limelight in a study by Nagler et al published online in October 2015 in the Journal of the American Academy of Dermatology. They showed that patients who ultimately were treated with isotretinoin had been receiving antibiotics for months without any sign of therapeutic life or course end in sight. This retrospective chart review evaluated the duration of systemic antibiotic use prior to starting isotretinoin in 137 patients with inflammatory/nodulocystic acne. Antibiotic use continued for a mean of 331.3 days (median, 238 days). Duration of antibiotic use was divided into categories: 3 months or less (15.3%), 6 months or more (64.2%), or 1 year or more (33.6%).

Let’s take a broad look at antimicrobial resistance. Bacterial drug resistance has numerous negative effects on medicine and society. Drug-resistant bacterial infections result in higher doses of drugs, the addition of treatments with higher toxicity, longer hospital stays, and increased mortality. In the United States, infections due to antibiotic-resistant bacteria add $20 billion to total health care costs plus $35 billion in costs to society.

Unfortunately, it is relatively easy for bacterium to develop drug resistance through 3 simple steps: acquisition by microbes of resistance genes, expression of those resistance genes, and selection for pathogens expressing those resistance genes. The selective pressure in favor of resistance occurs whenever microbes are exposed to a drug but not eradicated, either by the killing effects of the drug itself or by inhibitory effects of the drug followed by killing by the host’s immune system. In any setting that creates this selective pressure in favor of drug resistance, such as poor patient compliance (ie, infrequent dosing, taking an antibiotic for too long as we see with the use of antibiotics for the treatment of inflammatory skin diseases such as acne), the likelihood of that resistance actually developing is increased. In addition, drugs that inhibit but do not kill microbes are more likely to allow some microbial cells to live and therefore develop resistance when exposed to a drug, which accounts for the majority of antibiotics in our armament. Lastly, abuse of broad-spectrum antibiotics has further spurred the emergence of many antibiotic-resistant strains. For instance, Pseudomonas aeruginosa is one of many evolving multidrug-resistant microorganisms that have been collectively coined the “ESKAPE” pathogens (Enterococcus faecalis, Staphylococcus aureus, Klebsiella pneumoniae, Acinetobacter baumannii, P aeruginosa, Enterobacter species) to emphasize the fact that they “escape” the effects of many antibacterial agents.

All of the above does not take into account the environmental factors that play a role in this resistance. The close quarters, mass/public transportation, and stressful pace of life of urban living not only bring these organisms together to share resistance genes but also increase our susceptibility.

What’s the issue?

We can all do our part in the fight against microbial resistance and join the antimicrobial stewardship. Here are a couple tips for dermatologists:

  1. Stop using over-the-counter antibiotic ointment for every biopsy or minor procedure, which is one of the recommendations of the American Academy of Dermatology based on the ABIM Foundation’s Choosing Wisely campaign.
  2. Oral and topical antibiotics for inflammatory skin diseases such as acne, rosacea, and hidradenitis suppurativa should only be used temporarily or at subantimicrobial dosing. Always combine a benzoyl peroxide–containing wash with a topical or oral antibiotic to hit the bacteria with multiple mechanisms of antibacterial activity to limit resistance. Don’t use benzoyl peroxide stronger than 2.5% for the face; make sure to wash it off completely to avoid staining your towels, sheets, and clothing.

We can all play our part in the fight against antimicrobial resistance. How do you fight the resistance?

We want to know your views! Tell us what you think.

References

Suggested Readings

Boucher HW. Challenges in anti-infective development in the era of bad bugs, no drugs: a regulatory perspective using the example of bloodstream infection as an indication. Clin Infect Dis. 2010;50(suppl 1):S4-S9.

Spellberg B, Guidos R, Gilbert D, et al. The epidemic of antibiotic-resistant infections: a call to action for the medical community from the Infectious Diseases Society of America. Clin Infect Dis. 2008;46:155-164.

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In recent years, resistance to antimicrobial drugs has become increasingly widespread, resulting in a health threat of epidemic proportions. The long list of drug-resistant bacteria continues to expand at an accelerated pace. What does this mean in the dermatology world? We are not the only problem but are certainly part of the problem, representing 5% of all antibiotic prescriptions annually even though we represent only 1% of all physicians in the United States. These prescriptions certainly do not just include skin and soft tissue functions, as a survey-based study by Chouake et al (J Drugs Dermatol. 2014;13:119-124.) showed that dermatologists are overusing antibiotics in the treatment of simple skin abscesses such as acne vulgaris, one of the most common inflammatory skin diseases.

Although the inappropriate utilization of antibiotics for acne has been a subject of great discourse for years, it recently reentered the limelight in a study by Nagler et al published online in October 2015 in the Journal of the American Academy of Dermatology. They showed that patients who ultimately were treated with isotretinoin had been receiving antibiotics for months without any sign of therapeutic life or course end in sight. This retrospective chart review evaluated the duration of systemic antibiotic use prior to starting isotretinoin in 137 patients with inflammatory/nodulocystic acne. Antibiotic use continued for a mean of 331.3 days (median, 238 days). Duration of antibiotic use was divided into categories: 3 months or less (15.3%), 6 months or more (64.2%), or 1 year or more (33.6%).

Let’s take a broad look at antimicrobial resistance. Bacterial drug resistance has numerous negative effects on medicine and society. Drug-resistant bacterial infections result in higher doses of drugs, the addition of treatments with higher toxicity, longer hospital stays, and increased mortality. In the United States, infections due to antibiotic-resistant bacteria add $20 billion to total health care costs plus $35 billion in costs to society.

Unfortunately, it is relatively easy for bacterium to develop drug resistance through 3 simple steps: acquisition by microbes of resistance genes, expression of those resistance genes, and selection for pathogens expressing those resistance genes. The selective pressure in favor of resistance occurs whenever microbes are exposed to a drug but not eradicated, either by the killing effects of the drug itself or by inhibitory effects of the drug followed by killing by the host’s immune system. In any setting that creates this selective pressure in favor of drug resistance, such as poor patient compliance (ie, infrequent dosing, taking an antibiotic for too long as we see with the use of antibiotics for the treatment of inflammatory skin diseases such as acne), the likelihood of that resistance actually developing is increased. In addition, drugs that inhibit but do not kill microbes are more likely to allow some microbial cells to live and therefore develop resistance when exposed to a drug, which accounts for the majority of antibiotics in our armament. Lastly, abuse of broad-spectrum antibiotics has further spurred the emergence of many antibiotic-resistant strains. For instance, Pseudomonas aeruginosa is one of many evolving multidrug-resistant microorganisms that have been collectively coined the “ESKAPE” pathogens (Enterococcus faecalis, Staphylococcus aureus, Klebsiella pneumoniae, Acinetobacter baumannii, P aeruginosa, Enterobacter species) to emphasize the fact that they “escape” the effects of many antibacterial agents.

All of the above does not take into account the environmental factors that play a role in this resistance. The close quarters, mass/public transportation, and stressful pace of life of urban living not only bring these organisms together to share resistance genes but also increase our susceptibility.

What’s the issue?

We can all do our part in the fight against microbial resistance and join the antimicrobial stewardship. Here are a couple tips for dermatologists:

  1. Stop using over-the-counter antibiotic ointment for every biopsy or minor procedure, which is one of the recommendations of the American Academy of Dermatology based on the ABIM Foundation’s Choosing Wisely campaign.
  2. Oral and topical antibiotics for inflammatory skin diseases such as acne, rosacea, and hidradenitis suppurativa should only be used temporarily or at subantimicrobial dosing. Always combine a benzoyl peroxide–containing wash with a topical or oral antibiotic to hit the bacteria with multiple mechanisms of antibacterial activity to limit resistance. Don’t use benzoyl peroxide stronger than 2.5% for the face; make sure to wash it off completely to avoid staining your towels, sheets, and clothing.

We can all play our part in the fight against antimicrobial resistance. How do you fight the resistance?

We want to know your views! Tell us what you think.

 

 

In recent years, resistance to antimicrobial drugs has become increasingly widespread, resulting in a health threat of epidemic proportions. The long list of drug-resistant bacteria continues to expand at an accelerated pace. What does this mean in the dermatology world? We are not the only problem but are certainly part of the problem, representing 5% of all antibiotic prescriptions annually even though we represent only 1% of all physicians in the United States. These prescriptions certainly do not just include skin and soft tissue functions, as a survey-based study by Chouake et al (J Drugs Dermatol. 2014;13:119-124.) showed that dermatologists are overusing antibiotics in the treatment of simple skin abscesses such as acne vulgaris, one of the most common inflammatory skin diseases.

Although the inappropriate utilization of antibiotics for acne has been a subject of great discourse for years, it recently reentered the limelight in a study by Nagler et al published online in October 2015 in the Journal of the American Academy of Dermatology. They showed that patients who ultimately were treated with isotretinoin had been receiving antibiotics for months without any sign of therapeutic life or course end in sight. This retrospective chart review evaluated the duration of systemic antibiotic use prior to starting isotretinoin in 137 patients with inflammatory/nodulocystic acne. Antibiotic use continued for a mean of 331.3 days (median, 238 days). Duration of antibiotic use was divided into categories: 3 months or less (15.3%), 6 months or more (64.2%), or 1 year or more (33.6%).

Let’s take a broad look at antimicrobial resistance. Bacterial drug resistance has numerous negative effects on medicine and society. Drug-resistant bacterial infections result in higher doses of drugs, the addition of treatments with higher toxicity, longer hospital stays, and increased mortality. In the United States, infections due to antibiotic-resistant bacteria add $20 billion to total health care costs plus $35 billion in costs to society.

Unfortunately, it is relatively easy for bacterium to develop drug resistance through 3 simple steps: acquisition by microbes of resistance genes, expression of those resistance genes, and selection for pathogens expressing those resistance genes. The selective pressure in favor of resistance occurs whenever microbes are exposed to a drug but not eradicated, either by the killing effects of the drug itself or by inhibitory effects of the drug followed by killing by the host’s immune system. In any setting that creates this selective pressure in favor of drug resistance, such as poor patient compliance (ie, infrequent dosing, taking an antibiotic for too long as we see with the use of antibiotics for the treatment of inflammatory skin diseases such as acne), the likelihood of that resistance actually developing is increased. In addition, drugs that inhibit but do not kill microbes are more likely to allow some microbial cells to live and therefore develop resistance when exposed to a drug, which accounts for the majority of antibiotics in our armament. Lastly, abuse of broad-spectrum antibiotics has further spurred the emergence of many antibiotic-resistant strains. For instance, Pseudomonas aeruginosa is one of many evolving multidrug-resistant microorganisms that have been collectively coined the “ESKAPE” pathogens (Enterococcus faecalis, Staphylococcus aureus, Klebsiella pneumoniae, Acinetobacter baumannii, P aeruginosa, Enterobacter species) to emphasize the fact that they “escape” the effects of many antibacterial agents.

All of the above does not take into account the environmental factors that play a role in this resistance. The close quarters, mass/public transportation, and stressful pace of life of urban living not only bring these organisms together to share resistance genes but also increase our susceptibility.

What’s the issue?

We can all do our part in the fight against microbial resistance and join the antimicrobial stewardship. Here are a couple tips for dermatologists:

  1. Stop using over-the-counter antibiotic ointment for every biopsy or minor procedure, which is one of the recommendations of the American Academy of Dermatology based on the ABIM Foundation’s Choosing Wisely campaign.
  2. Oral and topical antibiotics for inflammatory skin diseases such as acne, rosacea, and hidradenitis suppurativa should only be used temporarily or at subantimicrobial dosing. Always combine a benzoyl peroxide–containing wash with a topical or oral antibiotic to hit the bacteria with multiple mechanisms of antibacterial activity to limit resistance. Don’t use benzoyl peroxide stronger than 2.5% for the face; make sure to wash it off completely to avoid staining your towels, sheets, and clothing.

We can all play our part in the fight against antimicrobial resistance. How do you fight the resistance?

We want to know your views! Tell us what you think.

References

Suggested Readings

Boucher HW. Challenges in anti-infective development in the era of bad bugs, no drugs: a regulatory perspective using the example of bloodstream infection as an indication. Clin Infect Dis. 2010;50(suppl 1):S4-S9.

Spellberg B, Guidos R, Gilbert D, et al. The epidemic of antibiotic-resistant infections: a call to action for the medical community from the Infectious Diseases Society of America. Clin Infect Dis. 2008;46:155-164.

References

Suggested Readings

Boucher HW. Challenges in anti-infective development in the era of bad bugs, no drugs: a regulatory perspective using the example of bloodstream infection as an indication. Clin Infect Dis. 2010;50(suppl 1):S4-S9.

Spellberg B, Guidos R, Gilbert D, et al. The epidemic of antibiotic-resistant infections: a call to action for the medical community from the Infectious Diseases Society of America. Clin Infect Dis. 2008;46:155-164.

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Polycystic Ovary Syndrome in Adolescents

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From the Department of Pediatrics, Section of Endocrinology & Diabetes, Medical College of Wisconsin, Milwaukee, WI.

 

Abstract

  • Objective: To review the diagnosis and management of polycystic ovary syndrome (PCOS) in adolescent patients.
  • Methods: Review of the literature.
  • Results: PCOS is a complex, heterogeneous disorder that frequently manifests during puberty. The symptoms of PCOS (ie, menstrual irregularities, hirsutism, and acne) tend to overlap with normal pubertal changes. Diagnostic criteria for PCOS in the adolescent age-group is still lacking. Current practice is to utilize adult diagnostic criteria, which raises the concern for misdiagnosis. The underlying etiology for the disorder is still unclear, but insulin resistance is present in both obese and non-obese PCOS patients. Although recognizing adolescents with PCOS is challenging, evaluating and managing patients for hyperandrogenemia and metabolic syndrome is imperative to prevent long-term reproductive and metabolic complications.
  • Conclusion: PCOS is increasingly encountered during adolescence. Recognizing adolescent girls with PCOS is a challenge but important for preventing long-term adverse health outcomes.

 

Polycystic ovary syndrome (PCOS) is a complex disorder most commonly characterized by chronic anovulation and clinical and biochemical features of hyperandrogenemia. It affects 4% to 12% of reproductive-aged women [1,2]. In adolescents, the exact prevalence is unknown, but in a recent study the prevalence of a confirmed diagnosis of PCOS in adolescents aged 15 to 19 years was 0.56%, which increased to 1.14% when undiagnosed cases with documented symptoms qualifying for PCOS according to NIH criteria were included [3]. The primary underlying defect in PCOS remains unknown, but key features include insulin resistance, impaired gonadotropin dynamics, and androgen excess.

CBR_PolycisticOvary_Table1Profound functional variations in the hypothalamic-pituitary-ovarian axis commonly seen during normal puberty may result in clinical and biochemical changes that mimic some of the features of PCOS. During the early stages of puberty, adolescent girls tend to have anovulatory menstrual cycles, higher androgen levels, and polycystic ovaries [4,5]. Thus, the clinical signs of hyperandrogenemia commonly seen in adults are less reliable in the adolescent age-group. Diagnostic criteria have been developed for adults and are based upon the various combinations of oligomenorrhea, unexplained hyperandrogenemia, and polycystic ovaries on imaging (Table 1) [6–8]. Applying these adult criteria in adolescent patients with suspected PCOS has always raised the concern of misdiagnosis as some of the changes seen in this age-group may likely be due to normal pubertal development. However, due to the paucity of data, the current practice is to utilize the adult diagnostic criteria. Because of the heterogeneous nature of the disorder, recognizing adolescents with PCOS may be challenging. However, early recognition and management is important to prevent some of the long-term reproductive and metabolic complications associated with this syndrome.

 

 

Case Study

Initial Presentation

A 16-year-old female patient presents to the PCOS clinic for evaluation of obesity and amenorrhea.

History

The patient, who is otherwise healthy, began gaining weight at age 7. During this period, her weight increased from the 15th to (currently) the 90th percentile; her height remained constant (75th percentile). Menarche was at 12 years of age. Menstrual periods have been irregular since the onset of menarche and she has had no periods for the past 5 months. She noticed excessive hair growth on her face, chin, and neck soon after the onset of menarche. She has been shaving her facial hair once every 2–3 days.

The patient’s detailed diet history included eating 3 meals daily and snacks in-between meals. The patient was consuming sweet beverages regularly. There was minimal intake fruits and vegetables. The portion sizes for each meal were large. The patient had minimal physical activity and screen time was more than 2 hours daily.

Family history is significant for obesity and type 2 diabetes in her mother and maternal grandmother and is negative for PCOS.

Physical Examination

Vital signs were within normal limits. She was 5 ft 6 in tall and weighed 242 lb, with a body mass index (BMI) of 40 (99th percentile; Z-score 2.41). Physical examination showed coarse hair extending from the sideburns to the chin as well as from pubis symphysis to navel with evidence of hair removal. She had acanthosis nigricans on her neck, mild acne, and evidence of central obesity with pink striae marks on the abdomen. She was Tanner stage 5 for breast and pubic hair and there was no evidence of virilization (clitoral hypertrophy, deepening of the voice, severe hirsutism, male pattern baldness, and masculine habitus). Other physical examination findings were within normal limits.

 

  • What physical findings in this patient are suggestive of clinical hyperandrogenemia?

Physiologic irregular menstruation is a well known phenomenon in adolescent girls and is generally due to anovulatory cycles [9–12]. Menstrual cycles shorter than 19 days or longer than 90 days at any stage after menarche are considered abnormal. The menstrual irregularity that is commonly seen within the first 2–3 years after the first menarche can last up to 5 years [5]. However, the majority of girls establish 20- to 45-day cycles within the first 2 years [13].

Androgen excess, defined by the presence of clinical and/or biochemical hyperandrogenemia, should be considered in any adolescent girl who is 2 to 3 years’ post-menarche and presenting with irregular menstrual periods, coarse terminal hair in a male distribution pattern (hirsutism), or moderate to severe inflammatory acne. Hirsutism is androgen dependent [14–16] and must be distinguished from hypertrichosis, which is generalized excessive vellus hair growth present all over the body. Clinical hyperandrogenemia, which includes hirsutism, acne vulgaris, as well as androgenetic alopecia, is well correlated with elevated androgen levels; however, the severity of hirsutism does not correlate well with circulating androgen levels [17,18]. Mild hirsutism is often not associated with hyperandrogenemia in otherwise asymptomatic individuals,but it may be a sign of hyperandrogenemia in adolescents when associated with other features of PCOS, ie, menstrual irregularity [14–16, 19–22]. Defining hirsutism in early adolescence may be difficult since the sexual hair may still be developing, and laboratory evaluation should be considered (see below), especially in an overweight/obese adolescent girl presenting with oligomenorrhea. Ethnic variation due to decreased skin sensitivity to androgens can result in minimal hirsutism despite elevated plasma androgen levels and must be considered among certain Asian women. Women with PCOS from China, Japan, Thailand, and East and Southeast Asian countries tend to have low scores on hirsutism rating scales even with elevated plasma androgens levels [16,23].

Although having acne during puberty is not considered as a marker for hyperandrogenemia, patients with moderate to severe inflammatory acne that is poorly responsive to topical treatment should be evaluated for underlying hyperandrogenemia [19,24,25].

  • What laboratory tests should be obtained to when there is clinical suspicion of hyperandrogenemia?

As with the variability in clinical symptoms, there is a lack of uniformity regarding biochemical testing for this disorder. There is no consensus on which biochemical tests should be done in girls suspected of having PCOS. For the initial evaluation of hyperandrogenemia, measurement of total and/or free testosterone is recommended [13,26–28]. Elevated free testosterone is recognized as the single most sensitive indicator for hyperandrogenemia, as the free fraction is the bioactive portion of serum testosterone. Most circulating testosterone is bound to sex hormone–binding globulin (SHBG), and obesity and androgen excess lower the level of SHBG, thus increasing free testosterone fraction. Clinical evidence of virilization should prompt a workup for disorders mimicking PCOS (Table 2) [27]. Obtain baseline thyroid and prolactin levels in any adolescent with chronic anovulation to exclude hyperprolactinemia and thyroid disorders. Most patients with PCOS have higher luteinizing hormone/follicle-stimulating hormone (LH/FSH) ratio; however, the test does not have robust diagnostic utility due to the variability of serum LH levels commonly seen during the different stages of the menstrual cycle. In addition, no difference in LH/FSH ratio was found in a group of obese PCOS patients when compared with a control group [29]. Given the increased association of obesity with PCOS, evaluation for metabolic syndrome is crucial. Laboratory testing requires reliable assays with well-defined normal ranges, especially for free testosterone since the assays are less well standardized, which limits their usefulness [13]. Table 2 provides a comprehensive list of recommended testing that should be tailored to the patient’s presentation.

Case Continued

The patient underwent laboratory assessment that included total and free testosterone levels, lipid panel, thyroid studies, prolactin level, comprehensive metabolic panel (CMP) and hemoglobin A1c (HbA1c). Due to lack of virilization, she was not tested for PCOS-like syndromes. Her total and free testosterone were 90 ng/dL (normal, < 41) and 24.7 pg/mL (normal, 0.5–3.9) respectively. Thyroid-stimulating hormone and prolactin levels were normal. She had normal lipid levels and CMP but HbA1c was 5.9% (pre-diabetic range). The results of a 2-hour oral glucose tolerance test revealed a level of 160 mg/dL, indicative of impaired glucose tolerance.

  • What is the pathophysiology and diagnostic criteria for PCOS in adolescents?

PCOS has diverse etiology and has been linked to both genetic and environmental factors affecting ovarian steroidogenesis [13,30]. While the familial clustering strongly supports the role of genetic factors, variability in phenotypic features within the same or different families indicates the importance of environmental contribution [31–34].

The exact underlying mechanism leading to disruption of ovulation is still unclear; however, hyperinsulinemia augmenting ovarian androgen production has been well recognized [35–37]. Insulin resistance is a characteristic finding in PCOS and occurs both in obese and lean patients [38,39]. Obesity further exacerbates the insulin resistance state in PCOS patients. Therefore, obese patients with PCOS have more severe hyperandrogenemia and consequences from it (hirsutism, menstrual abnormalities, and metabolic derangements) than normal-weight PCOS patients [40,41]. Similar to LH, insulin can stimulate ovarian theca cells directly and cause increased production of androgens [42]. Elevated androgen levels cause the irregular menstrual periods as well as clinical signs of hyperandrogenemia, such as hirsutism and acne.

Altered gonadotropin dynamics is another possible etiological factor that is linked with PCOS. Hyperinsulinemia affects the regulation of gonadotropin-releasing hormone (GnRH) pulse generator, causing hypersecretion of LH [43]. Obese peripubertal girls have been identified having altered LH secretion [44,45]. This results in increased LH levels relative to FSH. Normal FSH is required to stimulate ovarian folliculognensis; insufficient FSH levels cause anovulation and menstrual irregularities. Abnormal LH secretion and fasting insulin levels have been identified the independent predictors for hyperandrogenemia in some peripubertal obese girls [46].

In 2010 Carmina et al published new criteria to diagnose PCOS in adolescents [27].They recommended that in diagnosing PCOS in adolescents, all 3 previously mentioned criteria should be present: hyperandrogenemia, chronic anovulation, and polycystic ovaries. With the exception of worsening hirsutism, the new recommendations greatly emphasized biochemical hyperandrogenemia (elevated free testosterone levels using sensitive assays). Chronic anovulation was defined as persistence of menstrual irregularities 2 years post-menarche and pelvic ultrasound (USG) showing increased ovarian size (> 10 cm3). Normal physiological variations unrelated to hyperandrogenemia are common in adolescent ovaries and limits the usefulness of pelvic USG as a diagnostic criterion for PCOS [13,47,48]. Also, the prevalence of increased ovarian size in hyperandrogenemic adolescent patients was reported to be low, and its utility as a criterion for diagnosis needs to be further explored [49]. In our current practice we do not rely on pelvic USG findings to make a PCOS diagnosis.

Due to longstanding controversies and lack of consensus surrounding the accurate diagnostic criteria, a recent guideline was developed by experts in pediatric endocrinology and adolescent medicine invited by the Pediatric Endocrine Society to address these issues [13].The guideline committee assessed the literature in order to define which criteria have sufficient evidence to be used for diagnosis of PCOS in adolescents. They recommend that PCOS should be considered in an adolescent girl presenting with unexplained menstrual irregularities, moderate to severe hirsutism or acne, and elevated levels of serum androgens (total and free testosterone) using reliable assay with well-defined ranges. Although intrinsic insulin resistance unique to PCOS is well known, none of the current guidelines either for adolescent and adult women include it as part of the diagnostic criteria. Since longitudinal studies focusing on the natural history of PCOS in this age-group are lacking, the current recommendations focus on timely screening and treatment in symptomatic adolescent girls suspected of having PCOS.

When there are PCOS features but menstrual irregularity has not been present for at least 2 years, one can defer the diagnostic label and instead use the term at-risk for PCOS. Such patients should have frequent longitudinal re-evaluations and should be offered treatment for their symptoms [13].

 

 

  • How should adolescents with PCOS be managed?

The treatment of PCOS is symptom-directed and should be tailored according to the complaints of the individual patient. However, it also must focus on the core dysfunctions: anovulation, hyperandrogenemia, obesity, and insulin resistance. It also requires bridging patient expectations of regulating menses, lessening the troublesome clinical signs of hyperandrogenemia (hirsutism, acne), and obesity management with the health care provider’s goals of preventing endometrial hyperplasia and cancer, diabetes mellitus, and cardiovascular disease.

Regulating menstruation and reducing cutaneous manifestations of hyperandrogenemia is the priority for any adolescent with PCOS. Combined oral contraceptive pills (COCs) are the first line of medical treatment for most adolescents. COCs restore endometrial cycling and suppress androgen levels, and are therefore optimal in treating abnormal uterine bleeding, protecting against endometrial carcinoma, and alleviating cutaneous manifestations of hyperandrogenemia (hirsutism and acne). Progestin monotherapy is considered an alternative therapy in individuals with contraindications to COCs (ie, thromboembolic risk). Although it is not effective in lowering androgen levels thus does not help reduce hair growth and acne, progestin monotherapy protects the endometrium and reduces the risk of endometrial cancer [50].

The majority of patients with PCOS are overweight or obese. Regardless of BMI, patients with PCOS have profound intrinsic insulin resistance that gets worse with overweight or obesity. Weight reduction by restricting caloric intake and increasing physical exercise is vital and has shown to be effective in regulating menstrual cycles, but is difficult to achieve [51–53]. Metformin can regulate menstrual cycles and decrease androgen levels by improving insulin sensitivity [54,55]. The use of metformin in PCOS patients is still controversial and abnormal glucose tolerance is the only approved indication [61]. However, combing metformin with COCs and lifestyle modification in obese PCOS patients has been shown to be used more frequently in pediatric endocrine clinics [56]. COCs are the only agents that can lower testosterone levels and improve ovulation and hirsutism; these effects are seen less frequently with lifestyle modification or metformin, either used alone or in combination.

COC monotherapy is first-line therapy to treat hirsutism. Consider anti-androgen treatment for hirsutism if there is no improvement after 6–9 months of hormonal treatment [57]. Antiandrogens reduce hirsutism by decreasing androgen production and binding the androgen receptors in target tissue. Spironolactone is the most commonly used antiandrogen therapy in adolescent girls with PCOS. Given the risk of teratogenicity with antiandrogens if pregnancy occurs, it is recommended to use it in combination with COCs [57]. Cosmetic measures including direct hair removal and electrolysis should be discussed with patients as other options for treatment of hirsutism.

Obese patients with PCOS are at higher risk for metabolic syndrome, a constellation of features including glucose intolerance, central obesity, hypertension, and dyslipidemia. Hyperandrogenemia and insulin resistance are linked with metabolic syndrome in PCOS. Reducing hyperandrogenemia and insulin resistance could reverse metabolic derangements and further reduce the risk of cardiovascular disease [58].

Worsening insulin resistance with COCs in PCOS has raised the concern of long-term metabolic derangements and cardiovascular adverse effects. COCs tend to increase total cholesterol, triglyceride, and high-sensitivity C-reactive protein levels [59]. However, the long-term implications of these findings are not well understood, attributable to the lack of longitudinal studies, especially in women with PCOS receiving COCs. Newer COCs containing less androgenic progestin may have less deleterious effect on insulin resistance and lipid profile. Due to insufficient use in adolescent patients, a definitive conclusion about their long-term safety cannot be drawn. Thus, there remains a theoretical risk of COCs exacerbating the underlying metabolic derangements in PCOS that can lead to subsequent adverse cardiovascular events.

Adolescent girls with PCOS are also at an increased risk for depression and anxiety disorders. The 2013 Endocrine Society clinical practice guideline suggests that adolescent girls with PCOS should be screened for depression and anxiety by history [51].If symptoms are present, patients should receive appropriate psychological referral and treatment.

Case Continued

As she had no contraindications to COCs, the patient was started on COC therapy to regulate her menstrual periods and alleviate the symptoms of hirsutism. Due to impaired glucose tolerance test results and increased risk for type 2 diabetes, treatment with metformin was also initiated. The patient met with a dietician, who offered recommendations for adopting a healthy lifestyle and introduced her to the “3,2,1,0, blast off” model: 3 consistent meals, 2 hours or less of screen time, 1 hour or more of physical activity, and 0 sweetened beverages a day. The patient was also advised to increase daily consumption of fruits and vegetables. Results of the 2-item Patient Health Questionnaire (PHQ-2) for depression were negative.

At a follow-up visit 6 months later, the patient reported that her menstrual periods were regular. There was some improvement in hirsutism, requiring less shaving, and there was no increase in weight. Repeat laboratory evaluations showed normal free testosterone level, decreased HbA1c (5.2%), and improved random blood glucose (130 mg/dL). The patient was seen regularly and treatment results monitored. No side effects were seen over a 4.5-year period. As PCOS is a lifelong condition, at the age of 21 the patient was referred to an adult endocrine clinic for further management.

 

Corresponding author: Alvina R. Kansra, MD, Medical College of Wisconsin, 8701 Watertown Plank Rd., Wauwatosa, WI 53226, [email protected].

Financial disclosures: None.

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From the Department of Pediatrics, Section of Endocrinology & Diabetes, Medical College of Wisconsin, Milwaukee, WI.

 

Abstract

  • Objective: To review the diagnosis and management of polycystic ovary syndrome (PCOS) in adolescent patients.
  • Methods: Review of the literature.
  • Results: PCOS is a complex, heterogeneous disorder that frequently manifests during puberty. The symptoms of PCOS (ie, menstrual irregularities, hirsutism, and acne) tend to overlap with normal pubertal changes. Diagnostic criteria for PCOS in the adolescent age-group is still lacking. Current practice is to utilize adult diagnostic criteria, which raises the concern for misdiagnosis. The underlying etiology for the disorder is still unclear, but insulin resistance is present in both obese and non-obese PCOS patients. Although recognizing adolescents with PCOS is challenging, evaluating and managing patients for hyperandrogenemia and metabolic syndrome is imperative to prevent long-term reproductive and metabolic complications.
  • Conclusion: PCOS is increasingly encountered during adolescence. Recognizing adolescent girls with PCOS is a challenge but important for preventing long-term adverse health outcomes.

 

Polycystic ovary syndrome (PCOS) is a complex disorder most commonly characterized by chronic anovulation and clinical and biochemical features of hyperandrogenemia. It affects 4% to 12% of reproductive-aged women [1,2]. In adolescents, the exact prevalence is unknown, but in a recent study the prevalence of a confirmed diagnosis of PCOS in adolescents aged 15 to 19 years was 0.56%, which increased to 1.14% when undiagnosed cases with documented symptoms qualifying for PCOS according to NIH criteria were included [3]. The primary underlying defect in PCOS remains unknown, but key features include insulin resistance, impaired gonadotropin dynamics, and androgen excess.

CBR_PolycisticOvary_Table1Profound functional variations in the hypothalamic-pituitary-ovarian axis commonly seen during normal puberty may result in clinical and biochemical changes that mimic some of the features of PCOS. During the early stages of puberty, adolescent girls tend to have anovulatory menstrual cycles, higher androgen levels, and polycystic ovaries [4,5]. Thus, the clinical signs of hyperandrogenemia commonly seen in adults are less reliable in the adolescent age-group. Diagnostic criteria have been developed for adults and are based upon the various combinations of oligomenorrhea, unexplained hyperandrogenemia, and polycystic ovaries on imaging (Table 1) [6–8]. Applying these adult criteria in adolescent patients with suspected PCOS has always raised the concern of misdiagnosis as some of the changes seen in this age-group may likely be due to normal pubertal development. However, due to the paucity of data, the current practice is to utilize the adult diagnostic criteria. Because of the heterogeneous nature of the disorder, recognizing adolescents with PCOS may be challenging. However, early recognition and management is important to prevent some of the long-term reproductive and metabolic complications associated with this syndrome.

 

 

Case Study

Initial Presentation

A 16-year-old female patient presents to the PCOS clinic for evaluation of obesity and amenorrhea.

History

The patient, who is otherwise healthy, began gaining weight at age 7. During this period, her weight increased from the 15th to (currently) the 90th percentile; her height remained constant (75th percentile). Menarche was at 12 years of age. Menstrual periods have been irregular since the onset of menarche and she has had no periods for the past 5 months. She noticed excessive hair growth on her face, chin, and neck soon after the onset of menarche. She has been shaving her facial hair once every 2–3 days.

The patient’s detailed diet history included eating 3 meals daily and snacks in-between meals. The patient was consuming sweet beverages regularly. There was minimal intake fruits and vegetables. The portion sizes for each meal were large. The patient had minimal physical activity and screen time was more than 2 hours daily.

Family history is significant for obesity and type 2 diabetes in her mother and maternal grandmother and is negative for PCOS.

Physical Examination

Vital signs were within normal limits. She was 5 ft 6 in tall and weighed 242 lb, with a body mass index (BMI) of 40 (99th percentile; Z-score 2.41). Physical examination showed coarse hair extending from the sideburns to the chin as well as from pubis symphysis to navel with evidence of hair removal. She had acanthosis nigricans on her neck, mild acne, and evidence of central obesity with pink striae marks on the abdomen. She was Tanner stage 5 for breast and pubic hair and there was no evidence of virilization (clitoral hypertrophy, deepening of the voice, severe hirsutism, male pattern baldness, and masculine habitus). Other physical examination findings were within normal limits.

 

  • What physical findings in this patient are suggestive of clinical hyperandrogenemia?

Physiologic irregular menstruation is a well known phenomenon in adolescent girls and is generally due to anovulatory cycles [9–12]. Menstrual cycles shorter than 19 days or longer than 90 days at any stage after menarche are considered abnormal. The menstrual irregularity that is commonly seen within the first 2–3 years after the first menarche can last up to 5 years [5]. However, the majority of girls establish 20- to 45-day cycles within the first 2 years [13].

Androgen excess, defined by the presence of clinical and/or biochemical hyperandrogenemia, should be considered in any adolescent girl who is 2 to 3 years’ post-menarche and presenting with irregular menstrual periods, coarse terminal hair in a male distribution pattern (hirsutism), or moderate to severe inflammatory acne. Hirsutism is androgen dependent [14–16] and must be distinguished from hypertrichosis, which is generalized excessive vellus hair growth present all over the body. Clinical hyperandrogenemia, which includes hirsutism, acne vulgaris, as well as androgenetic alopecia, is well correlated with elevated androgen levels; however, the severity of hirsutism does not correlate well with circulating androgen levels [17,18]. Mild hirsutism is often not associated with hyperandrogenemia in otherwise asymptomatic individuals,but it may be a sign of hyperandrogenemia in adolescents when associated with other features of PCOS, ie, menstrual irregularity [14–16, 19–22]. Defining hirsutism in early adolescence may be difficult since the sexual hair may still be developing, and laboratory evaluation should be considered (see below), especially in an overweight/obese adolescent girl presenting with oligomenorrhea. Ethnic variation due to decreased skin sensitivity to androgens can result in minimal hirsutism despite elevated plasma androgen levels and must be considered among certain Asian women. Women with PCOS from China, Japan, Thailand, and East and Southeast Asian countries tend to have low scores on hirsutism rating scales even with elevated plasma androgens levels [16,23].

Although having acne during puberty is not considered as a marker for hyperandrogenemia, patients with moderate to severe inflammatory acne that is poorly responsive to topical treatment should be evaluated for underlying hyperandrogenemia [19,24,25].

  • What laboratory tests should be obtained to when there is clinical suspicion of hyperandrogenemia?

As with the variability in clinical symptoms, there is a lack of uniformity regarding biochemical testing for this disorder. There is no consensus on which biochemical tests should be done in girls suspected of having PCOS. For the initial evaluation of hyperandrogenemia, measurement of total and/or free testosterone is recommended [13,26–28]. Elevated free testosterone is recognized as the single most sensitive indicator for hyperandrogenemia, as the free fraction is the bioactive portion of serum testosterone. Most circulating testosterone is bound to sex hormone–binding globulin (SHBG), and obesity and androgen excess lower the level of SHBG, thus increasing free testosterone fraction. Clinical evidence of virilization should prompt a workup for disorders mimicking PCOS (Table 2) [27]. Obtain baseline thyroid and prolactin levels in any adolescent with chronic anovulation to exclude hyperprolactinemia and thyroid disorders. Most patients with PCOS have higher luteinizing hormone/follicle-stimulating hormone (LH/FSH) ratio; however, the test does not have robust diagnostic utility due to the variability of serum LH levels commonly seen during the different stages of the menstrual cycle. In addition, no difference in LH/FSH ratio was found in a group of obese PCOS patients when compared with a control group [29]. Given the increased association of obesity with PCOS, evaluation for metabolic syndrome is crucial. Laboratory testing requires reliable assays with well-defined normal ranges, especially for free testosterone since the assays are less well standardized, which limits their usefulness [13]. Table 2 provides a comprehensive list of recommended testing that should be tailored to the patient’s presentation.

Case Continued

The patient underwent laboratory assessment that included total and free testosterone levels, lipid panel, thyroid studies, prolactin level, comprehensive metabolic panel (CMP) and hemoglobin A1c (HbA1c). Due to lack of virilization, she was not tested for PCOS-like syndromes. Her total and free testosterone were 90 ng/dL (normal, < 41) and 24.7 pg/mL (normal, 0.5–3.9) respectively. Thyroid-stimulating hormone and prolactin levels were normal. She had normal lipid levels and CMP but HbA1c was 5.9% (pre-diabetic range). The results of a 2-hour oral glucose tolerance test revealed a level of 160 mg/dL, indicative of impaired glucose tolerance.

  • What is the pathophysiology and diagnostic criteria for PCOS in adolescents?

PCOS has diverse etiology and has been linked to both genetic and environmental factors affecting ovarian steroidogenesis [13,30]. While the familial clustering strongly supports the role of genetic factors, variability in phenotypic features within the same or different families indicates the importance of environmental contribution [31–34].

The exact underlying mechanism leading to disruption of ovulation is still unclear; however, hyperinsulinemia augmenting ovarian androgen production has been well recognized [35–37]. Insulin resistance is a characteristic finding in PCOS and occurs both in obese and lean patients [38,39]. Obesity further exacerbates the insulin resistance state in PCOS patients. Therefore, obese patients with PCOS have more severe hyperandrogenemia and consequences from it (hirsutism, menstrual abnormalities, and metabolic derangements) than normal-weight PCOS patients [40,41]. Similar to LH, insulin can stimulate ovarian theca cells directly and cause increased production of androgens [42]. Elevated androgen levels cause the irregular menstrual periods as well as clinical signs of hyperandrogenemia, such as hirsutism and acne.

Altered gonadotropin dynamics is another possible etiological factor that is linked with PCOS. Hyperinsulinemia affects the regulation of gonadotropin-releasing hormone (GnRH) pulse generator, causing hypersecretion of LH [43]. Obese peripubertal girls have been identified having altered LH secretion [44,45]. This results in increased LH levels relative to FSH. Normal FSH is required to stimulate ovarian folliculognensis; insufficient FSH levels cause anovulation and menstrual irregularities. Abnormal LH secretion and fasting insulin levels have been identified the independent predictors for hyperandrogenemia in some peripubertal obese girls [46].

In 2010 Carmina et al published new criteria to diagnose PCOS in adolescents [27].They recommended that in diagnosing PCOS in adolescents, all 3 previously mentioned criteria should be present: hyperandrogenemia, chronic anovulation, and polycystic ovaries. With the exception of worsening hirsutism, the new recommendations greatly emphasized biochemical hyperandrogenemia (elevated free testosterone levels using sensitive assays). Chronic anovulation was defined as persistence of menstrual irregularities 2 years post-menarche and pelvic ultrasound (USG) showing increased ovarian size (> 10 cm3). Normal physiological variations unrelated to hyperandrogenemia are common in adolescent ovaries and limits the usefulness of pelvic USG as a diagnostic criterion for PCOS [13,47,48]. Also, the prevalence of increased ovarian size in hyperandrogenemic adolescent patients was reported to be low, and its utility as a criterion for diagnosis needs to be further explored [49]. In our current practice we do not rely on pelvic USG findings to make a PCOS diagnosis.

Due to longstanding controversies and lack of consensus surrounding the accurate diagnostic criteria, a recent guideline was developed by experts in pediatric endocrinology and adolescent medicine invited by the Pediatric Endocrine Society to address these issues [13].The guideline committee assessed the literature in order to define which criteria have sufficient evidence to be used for diagnosis of PCOS in adolescents. They recommend that PCOS should be considered in an adolescent girl presenting with unexplained menstrual irregularities, moderate to severe hirsutism or acne, and elevated levels of serum androgens (total and free testosterone) using reliable assay with well-defined ranges. Although intrinsic insulin resistance unique to PCOS is well known, none of the current guidelines either for adolescent and adult women include it as part of the diagnostic criteria. Since longitudinal studies focusing on the natural history of PCOS in this age-group are lacking, the current recommendations focus on timely screening and treatment in symptomatic adolescent girls suspected of having PCOS.

When there are PCOS features but menstrual irregularity has not been present for at least 2 years, one can defer the diagnostic label and instead use the term at-risk for PCOS. Such patients should have frequent longitudinal re-evaluations and should be offered treatment for their symptoms [13].

 

 

  • How should adolescents with PCOS be managed?

The treatment of PCOS is symptom-directed and should be tailored according to the complaints of the individual patient. However, it also must focus on the core dysfunctions: anovulation, hyperandrogenemia, obesity, and insulin resistance. It also requires bridging patient expectations of regulating menses, lessening the troublesome clinical signs of hyperandrogenemia (hirsutism, acne), and obesity management with the health care provider’s goals of preventing endometrial hyperplasia and cancer, diabetes mellitus, and cardiovascular disease.

Regulating menstruation and reducing cutaneous manifestations of hyperandrogenemia is the priority for any adolescent with PCOS. Combined oral contraceptive pills (COCs) are the first line of medical treatment for most adolescents. COCs restore endometrial cycling and suppress androgen levels, and are therefore optimal in treating abnormal uterine bleeding, protecting against endometrial carcinoma, and alleviating cutaneous manifestations of hyperandrogenemia (hirsutism and acne). Progestin monotherapy is considered an alternative therapy in individuals with contraindications to COCs (ie, thromboembolic risk). Although it is not effective in lowering androgen levels thus does not help reduce hair growth and acne, progestin monotherapy protects the endometrium and reduces the risk of endometrial cancer [50].

The majority of patients with PCOS are overweight or obese. Regardless of BMI, patients with PCOS have profound intrinsic insulin resistance that gets worse with overweight or obesity. Weight reduction by restricting caloric intake and increasing physical exercise is vital and has shown to be effective in regulating menstrual cycles, but is difficult to achieve [51–53]. Metformin can regulate menstrual cycles and decrease androgen levels by improving insulin sensitivity [54,55]. The use of metformin in PCOS patients is still controversial and abnormal glucose tolerance is the only approved indication [61]. However, combing metformin with COCs and lifestyle modification in obese PCOS patients has been shown to be used more frequently in pediatric endocrine clinics [56]. COCs are the only agents that can lower testosterone levels and improve ovulation and hirsutism; these effects are seen less frequently with lifestyle modification or metformin, either used alone or in combination.

COC monotherapy is first-line therapy to treat hirsutism. Consider anti-androgen treatment for hirsutism if there is no improvement after 6–9 months of hormonal treatment [57]. Antiandrogens reduce hirsutism by decreasing androgen production and binding the androgen receptors in target tissue. Spironolactone is the most commonly used antiandrogen therapy in adolescent girls with PCOS. Given the risk of teratogenicity with antiandrogens if pregnancy occurs, it is recommended to use it in combination with COCs [57]. Cosmetic measures including direct hair removal and electrolysis should be discussed with patients as other options for treatment of hirsutism.

Obese patients with PCOS are at higher risk for metabolic syndrome, a constellation of features including glucose intolerance, central obesity, hypertension, and dyslipidemia. Hyperandrogenemia and insulin resistance are linked with metabolic syndrome in PCOS. Reducing hyperandrogenemia and insulin resistance could reverse metabolic derangements and further reduce the risk of cardiovascular disease [58].

Worsening insulin resistance with COCs in PCOS has raised the concern of long-term metabolic derangements and cardiovascular adverse effects. COCs tend to increase total cholesterol, triglyceride, and high-sensitivity C-reactive protein levels [59]. However, the long-term implications of these findings are not well understood, attributable to the lack of longitudinal studies, especially in women with PCOS receiving COCs. Newer COCs containing less androgenic progestin may have less deleterious effect on insulin resistance and lipid profile. Due to insufficient use in adolescent patients, a definitive conclusion about their long-term safety cannot be drawn. Thus, there remains a theoretical risk of COCs exacerbating the underlying metabolic derangements in PCOS that can lead to subsequent adverse cardiovascular events.

Adolescent girls with PCOS are also at an increased risk for depression and anxiety disorders. The 2013 Endocrine Society clinical practice guideline suggests that adolescent girls with PCOS should be screened for depression and anxiety by history [51].If symptoms are present, patients should receive appropriate psychological referral and treatment.

Case Continued

As she had no contraindications to COCs, the patient was started on COC therapy to regulate her menstrual periods and alleviate the symptoms of hirsutism. Due to impaired glucose tolerance test results and increased risk for type 2 diabetes, treatment with metformin was also initiated. The patient met with a dietician, who offered recommendations for adopting a healthy lifestyle and introduced her to the “3,2,1,0, blast off” model: 3 consistent meals, 2 hours or less of screen time, 1 hour or more of physical activity, and 0 sweetened beverages a day. The patient was also advised to increase daily consumption of fruits and vegetables. Results of the 2-item Patient Health Questionnaire (PHQ-2) for depression were negative.

At a follow-up visit 6 months later, the patient reported that her menstrual periods were regular. There was some improvement in hirsutism, requiring less shaving, and there was no increase in weight. Repeat laboratory evaluations showed normal free testosterone level, decreased HbA1c (5.2%), and improved random blood glucose (130 mg/dL). The patient was seen regularly and treatment results monitored. No side effects were seen over a 4.5-year period. As PCOS is a lifelong condition, at the age of 21 the patient was referred to an adult endocrine clinic for further management.

 

Corresponding author: Alvina R. Kansra, MD, Medical College of Wisconsin, 8701 Watertown Plank Rd., Wauwatosa, WI 53226, [email protected].

Financial disclosures: None.

From the Department of Pediatrics, Section of Endocrinology & Diabetes, Medical College of Wisconsin, Milwaukee, WI.

 

Abstract

  • Objective: To review the diagnosis and management of polycystic ovary syndrome (PCOS) in adolescent patients.
  • Methods: Review of the literature.
  • Results: PCOS is a complex, heterogeneous disorder that frequently manifests during puberty. The symptoms of PCOS (ie, menstrual irregularities, hirsutism, and acne) tend to overlap with normal pubertal changes. Diagnostic criteria for PCOS in the adolescent age-group is still lacking. Current practice is to utilize adult diagnostic criteria, which raises the concern for misdiagnosis. The underlying etiology for the disorder is still unclear, but insulin resistance is present in both obese and non-obese PCOS patients. Although recognizing adolescents with PCOS is challenging, evaluating and managing patients for hyperandrogenemia and metabolic syndrome is imperative to prevent long-term reproductive and metabolic complications.
  • Conclusion: PCOS is increasingly encountered during adolescence. Recognizing adolescent girls with PCOS is a challenge but important for preventing long-term adverse health outcomes.

 

Polycystic ovary syndrome (PCOS) is a complex disorder most commonly characterized by chronic anovulation and clinical and biochemical features of hyperandrogenemia. It affects 4% to 12% of reproductive-aged women [1,2]. In adolescents, the exact prevalence is unknown, but in a recent study the prevalence of a confirmed diagnosis of PCOS in adolescents aged 15 to 19 years was 0.56%, which increased to 1.14% when undiagnosed cases with documented symptoms qualifying for PCOS according to NIH criteria were included [3]. The primary underlying defect in PCOS remains unknown, but key features include insulin resistance, impaired gonadotropin dynamics, and androgen excess.

CBR_PolycisticOvary_Table1Profound functional variations in the hypothalamic-pituitary-ovarian axis commonly seen during normal puberty may result in clinical and biochemical changes that mimic some of the features of PCOS. During the early stages of puberty, adolescent girls tend to have anovulatory menstrual cycles, higher androgen levels, and polycystic ovaries [4,5]. Thus, the clinical signs of hyperandrogenemia commonly seen in adults are less reliable in the adolescent age-group. Diagnostic criteria have been developed for adults and are based upon the various combinations of oligomenorrhea, unexplained hyperandrogenemia, and polycystic ovaries on imaging (Table 1) [6–8]. Applying these adult criteria in adolescent patients with suspected PCOS has always raised the concern of misdiagnosis as some of the changes seen in this age-group may likely be due to normal pubertal development. However, due to the paucity of data, the current practice is to utilize the adult diagnostic criteria. Because of the heterogeneous nature of the disorder, recognizing adolescents with PCOS may be challenging. However, early recognition and management is important to prevent some of the long-term reproductive and metabolic complications associated with this syndrome.

 

 

Case Study

Initial Presentation

A 16-year-old female patient presents to the PCOS clinic for evaluation of obesity and amenorrhea.

History

The patient, who is otherwise healthy, began gaining weight at age 7. During this period, her weight increased from the 15th to (currently) the 90th percentile; her height remained constant (75th percentile). Menarche was at 12 years of age. Menstrual periods have been irregular since the onset of menarche and she has had no periods for the past 5 months. She noticed excessive hair growth on her face, chin, and neck soon after the onset of menarche. She has been shaving her facial hair once every 2–3 days.

The patient’s detailed diet history included eating 3 meals daily and snacks in-between meals. The patient was consuming sweet beverages regularly. There was minimal intake fruits and vegetables. The portion sizes for each meal were large. The patient had minimal physical activity and screen time was more than 2 hours daily.

Family history is significant for obesity and type 2 diabetes in her mother and maternal grandmother and is negative for PCOS.

Physical Examination

Vital signs were within normal limits. She was 5 ft 6 in tall and weighed 242 lb, with a body mass index (BMI) of 40 (99th percentile; Z-score 2.41). Physical examination showed coarse hair extending from the sideburns to the chin as well as from pubis symphysis to navel with evidence of hair removal. She had acanthosis nigricans on her neck, mild acne, and evidence of central obesity with pink striae marks on the abdomen. She was Tanner stage 5 for breast and pubic hair and there was no evidence of virilization (clitoral hypertrophy, deepening of the voice, severe hirsutism, male pattern baldness, and masculine habitus). Other physical examination findings were within normal limits.

 

  • What physical findings in this patient are suggestive of clinical hyperandrogenemia?

Physiologic irregular menstruation is a well known phenomenon in adolescent girls and is generally due to anovulatory cycles [9–12]. Menstrual cycles shorter than 19 days or longer than 90 days at any stage after menarche are considered abnormal. The menstrual irregularity that is commonly seen within the first 2–3 years after the first menarche can last up to 5 years [5]. However, the majority of girls establish 20- to 45-day cycles within the first 2 years [13].

Androgen excess, defined by the presence of clinical and/or biochemical hyperandrogenemia, should be considered in any adolescent girl who is 2 to 3 years’ post-menarche and presenting with irregular menstrual periods, coarse terminal hair in a male distribution pattern (hirsutism), or moderate to severe inflammatory acne. Hirsutism is androgen dependent [14–16] and must be distinguished from hypertrichosis, which is generalized excessive vellus hair growth present all over the body. Clinical hyperandrogenemia, which includes hirsutism, acne vulgaris, as well as androgenetic alopecia, is well correlated with elevated androgen levels; however, the severity of hirsutism does not correlate well with circulating androgen levels [17,18]. Mild hirsutism is often not associated with hyperandrogenemia in otherwise asymptomatic individuals,but it may be a sign of hyperandrogenemia in adolescents when associated with other features of PCOS, ie, menstrual irregularity [14–16, 19–22]. Defining hirsutism in early adolescence may be difficult since the sexual hair may still be developing, and laboratory evaluation should be considered (see below), especially in an overweight/obese adolescent girl presenting with oligomenorrhea. Ethnic variation due to decreased skin sensitivity to androgens can result in minimal hirsutism despite elevated plasma androgen levels and must be considered among certain Asian women. Women with PCOS from China, Japan, Thailand, and East and Southeast Asian countries tend to have low scores on hirsutism rating scales even with elevated plasma androgens levels [16,23].

Although having acne during puberty is not considered as a marker for hyperandrogenemia, patients with moderate to severe inflammatory acne that is poorly responsive to topical treatment should be evaluated for underlying hyperandrogenemia [19,24,25].

  • What laboratory tests should be obtained to when there is clinical suspicion of hyperandrogenemia?

As with the variability in clinical symptoms, there is a lack of uniformity regarding biochemical testing for this disorder. There is no consensus on which biochemical tests should be done in girls suspected of having PCOS. For the initial evaluation of hyperandrogenemia, measurement of total and/or free testosterone is recommended [13,26–28]. Elevated free testosterone is recognized as the single most sensitive indicator for hyperandrogenemia, as the free fraction is the bioactive portion of serum testosterone. Most circulating testosterone is bound to sex hormone–binding globulin (SHBG), and obesity and androgen excess lower the level of SHBG, thus increasing free testosterone fraction. Clinical evidence of virilization should prompt a workup for disorders mimicking PCOS (Table 2) [27]. Obtain baseline thyroid and prolactin levels in any adolescent with chronic anovulation to exclude hyperprolactinemia and thyroid disorders. Most patients with PCOS have higher luteinizing hormone/follicle-stimulating hormone (LH/FSH) ratio; however, the test does not have robust diagnostic utility due to the variability of serum LH levels commonly seen during the different stages of the menstrual cycle. In addition, no difference in LH/FSH ratio was found in a group of obese PCOS patients when compared with a control group [29]. Given the increased association of obesity with PCOS, evaluation for metabolic syndrome is crucial. Laboratory testing requires reliable assays with well-defined normal ranges, especially for free testosterone since the assays are less well standardized, which limits their usefulness [13]. Table 2 provides a comprehensive list of recommended testing that should be tailored to the patient’s presentation.

Case Continued

The patient underwent laboratory assessment that included total and free testosterone levels, lipid panel, thyroid studies, prolactin level, comprehensive metabolic panel (CMP) and hemoglobin A1c (HbA1c). Due to lack of virilization, she was not tested for PCOS-like syndromes. Her total and free testosterone were 90 ng/dL (normal, < 41) and 24.7 pg/mL (normal, 0.5–3.9) respectively. Thyroid-stimulating hormone and prolactin levels were normal. She had normal lipid levels and CMP but HbA1c was 5.9% (pre-diabetic range). The results of a 2-hour oral glucose tolerance test revealed a level of 160 mg/dL, indicative of impaired glucose tolerance.

  • What is the pathophysiology and diagnostic criteria for PCOS in adolescents?

PCOS has diverse etiology and has been linked to both genetic and environmental factors affecting ovarian steroidogenesis [13,30]. While the familial clustering strongly supports the role of genetic factors, variability in phenotypic features within the same or different families indicates the importance of environmental contribution [31–34].

The exact underlying mechanism leading to disruption of ovulation is still unclear; however, hyperinsulinemia augmenting ovarian androgen production has been well recognized [35–37]. Insulin resistance is a characteristic finding in PCOS and occurs both in obese and lean patients [38,39]. Obesity further exacerbates the insulin resistance state in PCOS patients. Therefore, obese patients with PCOS have more severe hyperandrogenemia and consequences from it (hirsutism, menstrual abnormalities, and metabolic derangements) than normal-weight PCOS patients [40,41]. Similar to LH, insulin can stimulate ovarian theca cells directly and cause increased production of androgens [42]. Elevated androgen levels cause the irregular menstrual periods as well as clinical signs of hyperandrogenemia, such as hirsutism and acne.

Altered gonadotropin dynamics is another possible etiological factor that is linked with PCOS. Hyperinsulinemia affects the regulation of gonadotropin-releasing hormone (GnRH) pulse generator, causing hypersecretion of LH [43]. Obese peripubertal girls have been identified having altered LH secretion [44,45]. This results in increased LH levels relative to FSH. Normal FSH is required to stimulate ovarian folliculognensis; insufficient FSH levels cause anovulation and menstrual irregularities. Abnormal LH secretion and fasting insulin levels have been identified the independent predictors for hyperandrogenemia in some peripubertal obese girls [46].

In 2010 Carmina et al published new criteria to diagnose PCOS in adolescents [27].They recommended that in diagnosing PCOS in adolescents, all 3 previously mentioned criteria should be present: hyperandrogenemia, chronic anovulation, and polycystic ovaries. With the exception of worsening hirsutism, the new recommendations greatly emphasized biochemical hyperandrogenemia (elevated free testosterone levels using sensitive assays). Chronic anovulation was defined as persistence of menstrual irregularities 2 years post-menarche and pelvic ultrasound (USG) showing increased ovarian size (> 10 cm3). Normal physiological variations unrelated to hyperandrogenemia are common in adolescent ovaries and limits the usefulness of pelvic USG as a diagnostic criterion for PCOS [13,47,48]. Also, the prevalence of increased ovarian size in hyperandrogenemic adolescent patients was reported to be low, and its utility as a criterion for diagnosis needs to be further explored [49]. In our current practice we do not rely on pelvic USG findings to make a PCOS diagnosis.

Due to longstanding controversies and lack of consensus surrounding the accurate diagnostic criteria, a recent guideline was developed by experts in pediatric endocrinology and adolescent medicine invited by the Pediatric Endocrine Society to address these issues [13].The guideline committee assessed the literature in order to define which criteria have sufficient evidence to be used for diagnosis of PCOS in adolescents. They recommend that PCOS should be considered in an adolescent girl presenting with unexplained menstrual irregularities, moderate to severe hirsutism or acne, and elevated levels of serum androgens (total and free testosterone) using reliable assay with well-defined ranges. Although intrinsic insulin resistance unique to PCOS is well known, none of the current guidelines either for adolescent and adult women include it as part of the diagnostic criteria. Since longitudinal studies focusing on the natural history of PCOS in this age-group are lacking, the current recommendations focus on timely screening and treatment in symptomatic adolescent girls suspected of having PCOS.

When there are PCOS features but menstrual irregularity has not been present for at least 2 years, one can defer the diagnostic label and instead use the term at-risk for PCOS. Such patients should have frequent longitudinal re-evaluations and should be offered treatment for their symptoms [13].

 

 

  • How should adolescents with PCOS be managed?

The treatment of PCOS is symptom-directed and should be tailored according to the complaints of the individual patient. However, it also must focus on the core dysfunctions: anovulation, hyperandrogenemia, obesity, and insulin resistance. It also requires bridging patient expectations of regulating menses, lessening the troublesome clinical signs of hyperandrogenemia (hirsutism, acne), and obesity management with the health care provider’s goals of preventing endometrial hyperplasia and cancer, diabetes mellitus, and cardiovascular disease.

Regulating menstruation and reducing cutaneous manifestations of hyperandrogenemia is the priority for any adolescent with PCOS. Combined oral contraceptive pills (COCs) are the first line of medical treatment for most adolescents. COCs restore endometrial cycling and suppress androgen levels, and are therefore optimal in treating abnormal uterine bleeding, protecting against endometrial carcinoma, and alleviating cutaneous manifestations of hyperandrogenemia (hirsutism and acne). Progestin monotherapy is considered an alternative therapy in individuals with contraindications to COCs (ie, thromboembolic risk). Although it is not effective in lowering androgen levels thus does not help reduce hair growth and acne, progestin monotherapy protects the endometrium and reduces the risk of endometrial cancer [50].

The majority of patients with PCOS are overweight or obese. Regardless of BMI, patients with PCOS have profound intrinsic insulin resistance that gets worse with overweight or obesity. Weight reduction by restricting caloric intake and increasing physical exercise is vital and has shown to be effective in regulating menstrual cycles, but is difficult to achieve [51–53]. Metformin can regulate menstrual cycles and decrease androgen levels by improving insulin sensitivity [54,55]. The use of metformin in PCOS patients is still controversial and abnormal glucose tolerance is the only approved indication [61]. However, combing metformin with COCs and lifestyle modification in obese PCOS patients has been shown to be used more frequently in pediatric endocrine clinics [56]. COCs are the only agents that can lower testosterone levels and improve ovulation and hirsutism; these effects are seen less frequently with lifestyle modification or metformin, either used alone or in combination.

COC monotherapy is first-line therapy to treat hirsutism. Consider anti-androgen treatment for hirsutism if there is no improvement after 6–9 months of hormonal treatment [57]. Antiandrogens reduce hirsutism by decreasing androgen production and binding the androgen receptors in target tissue. Spironolactone is the most commonly used antiandrogen therapy in adolescent girls with PCOS. Given the risk of teratogenicity with antiandrogens if pregnancy occurs, it is recommended to use it in combination with COCs [57]. Cosmetic measures including direct hair removal and electrolysis should be discussed with patients as other options for treatment of hirsutism.

Obese patients with PCOS are at higher risk for metabolic syndrome, a constellation of features including glucose intolerance, central obesity, hypertension, and dyslipidemia. Hyperandrogenemia and insulin resistance are linked with metabolic syndrome in PCOS. Reducing hyperandrogenemia and insulin resistance could reverse metabolic derangements and further reduce the risk of cardiovascular disease [58].

Worsening insulin resistance with COCs in PCOS has raised the concern of long-term metabolic derangements and cardiovascular adverse effects. COCs tend to increase total cholesterol, triglyceride, and high-sensitivity C-reactive protein levels [59]. However, the long-term implications of these findings are not well understood, attributable to the lack of longitudinal studies, especially in women with PCOS receiving COCs. Newer COCs containing less androgenic progestin may have less deleterious effect on insulin resistance and lipid profile. Due to insufficient use in adolescent patients, a definitive conclusion about their long-term safety cannot be drawn. Thus, there remains a theoretical risk of COCs exacerbating the underlying metabolic derangements in PCOS that can lead to subsequent adverse cardiovascular events.

Adolescent girls with PCOS are also at an increased risk for depression and anxiety disorders. The 2013 Endocrine Society clinical practice guideline suggests that adolescent girls with PCOS should be screened for depression and anxiety by history [51].If symptoms are present, patients should receive appropriate psychological referral and treatment.

Case Continued

As she had no contraindications to COCs, the patient was started on COC therapy to regulate her menstrual periods and alleviate the symptoms of hirsutism. Due to impaired glucose tolerance test results and increased risk for type 2 diabetes, treatment with metformin was also initiated. The patient met with a dietician, who offered recommendations for adopting a healthy lifestyle and introduced her to the “3,2,1,0, blast off” model: 3 consistent meals, 2 hours or less of screen time, 1 hour or more of physical activity, and 0 sweetened beverages a day. The patient was also advised to increase daily consumption of fruits and vegetables. Results of the 2-item Patient Health Questionnaire (PHQ-2) for depression were negative.

At a follow-up visit 6 months later, the patient reported that her menstrual periods were regular. There was some improvement in hirsutism, requiring less shaving, and there was no increase in weight. Repeat laboratory evaluations showed normal free testosterone level, decreased HbA1c (5.2%), and improved random blood glucose (130 mg/dL). The patient was seen regularly and treatment results monitored. No side effects were seen over a 4.5-year period. As PCOS is a lifelong condition, at the age of 21 the patient was referred to an adult endocrine clinic for further management.

 

Corresponding author: Alvina R. Kansra, MD, Medical College of Wisconsin, 8701 Watertown Plank Rd., Wauwatosa, WI 53226, [email protected].

Financial disclosures: None.

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15. Martin KA, Chang RJ, Ehrmann DA, et al. Evaluation and treatment of hirsutism in premenopausal women: an endocrine society clinical practice guideline. J Clin Endocrinol Metab 2008;93:1105–20.

16. Escobar-Morreale HF, Carmina E, Dewailly D, et al. Epidemiology, diagnosis and management of hirsutism: a consensus statement by the Androgen Excess and Polycystic Ovary Syndrome Society. Hum Reprod Update 2012;18:146–70.

17. Rosenfield RL. The polycystic ovary morphology-polycystic ovary syndrome spectrum. J Pediatr Adolesc Gynecol 2015;28:412–9.

18. Yildiz BO, Bolour S, Woods K, et al. Visually scoring hirsutism. Hum Reprod Update 2010;16:51–64.

19. Chen WC, Zouboulis CC. Hormones and the pilosebaceous unit. Dermatoendocrinol 2009;1:81–6.

20. Hawryluk EB, English JC 3rd. Female adolescent hair disorders. J Pediatr Adolesc Gynecol 2009;22:271–81.

21. Souter I, Sanchez A, Perez M, et al. The prevalence of androgen excess among patients with minimal unwanted hair growth. Am J Obstet Gynecol 2004;191:1914–20.

22. Di Fede G, Mansueto P, Pepe G, et al. High prevalence of polycystic ovary syndrome in women with mild hirsutism and no other significant clinical symptoms. Fertil Steril 2010; 94:194–7.

23. Chan CNJ, Haines CJ, Chow CCF, et al. Polycystic ovarian syndrome in Hong Kong Chinese women: patient characteristics and diagnostic criteria. Hong Kong Med J 2005;11:336–41.

24. Lucky AW, Biro FM, Simbartl LA, et al. Predictors of severity of acne vulgaris in young adolescent girls: results of a five-year longitudinal study. J Pediatr 1997;130:30–9.

25. Eichenfield LF, Krakowski AC, Piggott C, et al. Evidence-based recommendations for the diagnosis and treatment of pediatric acne. Pediatrics 2013;131:S163–S186.

26. Silfen ME, Denburg MR, Manibo AM, et al. Early endocrine, metabolic, and sonographic characteristics of polycystic ovary syndrome (PCOS): comparison between nonobese and obese adolescents. J Clin Endocrinol Metab 2003;88:4682–8.

27. Carmina E, Oberfield SE, Lobo RA. The diagnosis of polycystic ovary syndrome in adolescents. Am J Obstet Gynecol 2010;203:201.e1–5.

28. Rosenfield RL. The diagnosis of polycystic ovary syndrome in adolescents. Pediatrics 2015;136:1154–65.

29. Cho LW, Jayagopal V, Kilpatrick ES, Holding S. The LH/FSH ratio has little use in diagnosing polycystic ovarian syndrome. Ann Clin Biochem 2006;43(Pt 3):217–9.

30. Rosenfield RL, Cooke DW, Radovick S. Puberty and its disorders in the female. In: Sperling M, editor. Pediatric Endocrinology. 4th ed. Philadelphia: Elsevier; 2014:569–663.

31. Givens JR. Familial polycystic ovarian disease. Endocrinol Metab Clin North Am 1988;17:771–83.

32. Legro RS, Driscoll D, Strauss JF 3rd, Fox J, Dunaif A. Evidence for a genetic basis for hyperandrogenemia in polycystic ovary syndrome. Proc Natl Acad Sci U S A 1998;95:14956–60.

33. Amato P, Simpson JL. The genetics of polycystic ovary syndrome. Best Pract Res Clin Obstet Gynaecol 2005;18:707–18.

34. Prapas N, Karkanaki A, Prapas I, et al. Genetics of polycystic ovary syndrome. Hippokratia 2009;13:216–23.

35. Burghen GA, Givens JR, Kitabchi AE. Correlation of hyperandrogenism with hyperinsulinism in polycystic ovarian disease. J Clin Endocrinol Metab 1980;50:113–6.

36. Diamanti-Kandarakis E, Dunaif A. Insulin resistance and the polycystic ovary syndrome revisited: an update on mechanisms and implications. Endocr Rev 2012;33:981–1030.

37. Dunaif A. Insulin resistance and the polycystic ovary syndrome: mechanism and implications for pathogenesis. Endocr Rev 1997;18:774–800.

38. Chang RJ, Nakamura RM, Judd HL, Kaplan SA. Insulin resistance in nonobese patients with polycystic ovarian disease. J Clin Endocrinol Metab 1983;57:356–9.

39. Dunaif A, Segal KR, Futterweit W, Dobrjansky A. Profound peripheral insulin resistance, independent of obesity, in polycystic ovary syndrome. Diabetes 1989;38:1165–74.

40. Gambineri A, Pelusi C, Vicennati V, et al. Obesity and the polycystic ovary syndrome. Int J Obes Relat Metab Disord 2002;26:883–96.

41. Lewy VD, Danadian K, Witchel SF, Arslanian S. Early metabolic abnormalities in adolescent girls with polycystic ovarian syndrome. J Pediatr 2001;138:38–44.

42. Nestler JE, Jakubowicz DJ, de Vargas AF, et al. Insulin stimulates testosterone biosynthesis by human thecal cells from women with polycystic ovary syndrome by activating its own receptor and using inositolglycan mediators as the signal transduction system. J Clin Endocrinol Metab 1998;83:2001–5.

43. Blank SK, McCartney CR, Marshall JC. The origins and sequelae of abnormal neuroendocrine function in polycystic ovary syndrome. Hum Reprod Update 2006;12:351–61.

44. McCartney CR, Prendergast KA, Chhabra S, et al. The association of obesity and hyperandrogenemia during the pubertal transition in girls: obesity as a potential factor in the genesis of postpubertal hyperandrogenism. J Clin Endocrinol Metab 2006;91:1714–22.

45. McCartney CR, Blank SK, Prendergast KA, et al. Obesity and sex steroid changes across puberty: evidence for marked hyperandrogenemia in pre- and early pubertal obese girls. J Clin Endocrinol Metab 2007;92:430–6.

46. Knudsen KL, Blank SK, Burt Solorzano C, et al. Hyperandrogenemia in obese peripubertal girls: correlates and potential etiological determinants. Obesity (Silver Spring) 2010;18:2118–24.

47. Venturoli S, Porcu E, Fabbri R, et al. Longitudinal change of sonographic ovarian aspects and endocrine parameters in irregular cycles of adolescence. Pediatr Res 1995;38:974–80.

48. Mortensen M, Rosenfield RL, Littlejohn E. Functional significance of polycystic-size ovaries in healthy adolescents. J Clin Endocrinol Metab 2006;91:3786–90.

49. Fruzzetti F, Campagna AM, Perini D, Carmina E. Ovarian volume in normal and hyperandrogenic adolescent women. Fertil Steril 2015;104:196–9.

50. Fearnley EJ, Marquart L, Spurdle AB, et al, the Australian Ovarian Cancer Study Group and the Australian National Endometrial Study Group. Polycystic ovary syndrome increases the risk of endometrial cancer in women aged less than 50 years: an Austrialian case-control study. Cancer Causes Control 2010;21:2303–8.

51. Legro RS, Arslanian SA, Ehrmann DA, et al; Endocrine Society. Diagnosis and treatment of polycystic ovary syndrome: an Endocrine Society clinical practice guideline. J Clin Endocrinol Metab 2013;98:4565-92.

52. Domecq JP, Prutsky G, Mullan RJ, et al. Lifestyle modification programs in polycystic ovary syndrome: systematic review and meta-analysis. J Clin Endocrinol Metab 2013;98:4655.

53. Lass N, Kleber M, Winkel K, et al. Effect of lifestyle intervention on features of polycystic ovarian syndrome, metabolic syndrome, and intima-media thickness in obese adolescent girls. J Clin Endocrinol Metab 2011;96:3533.

54. Costello M, Eden J. A systematic review of the reproductive system effects of metformin in patients with polycystic ovary syndrome. Fertil Steril 2003;79:1–13.

55. Lord JM, Flight IH, Norman RJ. Metformin in polycystic ovary syndrome: systematic review and meta-analysis. BMJ 2003;327:951–3.

56. Auble B, Elder D, Gross A, Hillman JB. Differences in the management of adolescents with polycystic ovary syndrome across pediatric specialties. J Pediatr Adolesc Gynecol 2013;26:234–8.

57. Martin KA, Chang J, Ehrmann DA, et al. Evaluation and treatment of hirsutism in premenopausal women: an Endocrine Society clincal practice guideline. J Clin Endocrinol Metab 2008;93:1105–20.

58. Geller DH, Pacaud D, Gordon CM, Misra M, for the Drug and Therapeutics Committee of the Pediatric Endocrine Society. State of the art review: emerging therapies: the use of insulin sensitizers in the treatment of adolescents with polycystic ovary syndrome (PCOS). Int J Ped Endocrinol 2011;2011:9.

59. Tfayli H, Ulnach JW, Lee S, et al. Drospirenon/ethinyl estradiol versus rosiglitazone treatment in overweight adolescents with polycystic ovary syndrome: comparison of metabolic, hormonal and cardiovascular risk factors. J Clin Endocrinol Metab 2011;96:1311–9.

References

1. Diamanti-Kandarakis E, Kouli CR, Bergiele AT, et al. A survey of the polycystic ovary syndrome inthe Greek island of Lesbos: hormonal and metabolic profile. J Clin Endocrinol Metab 1999v;84:4006–11.

2. Azziz R, Woods KS, Reyna R, et al. The prevalence and features of the polycystic ovary syndrome in an unselected population. J Clin Endocrinol Metab 2004;89:2745–9.

3. Christensen SB, Black MH, Smith N, et al. Prevalence of polycystic ovary syndrome in adolescents. Fertil Steril 2013;100:470–7.

4. Rosenfield RL. Clinical review: Adolescent anovulation: maturational mechanisms and implications. J Clin Endocrinol Metab 2013;98:3572–83.

5. Venturoli S, Porcu E, Fabbri R, et al. Menstrual irregularities in adolescents: hormonal pattern and ovarian morphology. Horm Res 1986;24:269–79.

6. Zawadzki JK, Dunaif A. Diagnostic criteria for polycystic ovary syndrome: towards a rational approach. Boston: Blackwell Scientific; 1992.

7. Rotterdam ESHRE/ASRM-Sponsored PCOS Consensus Workshop Group. Revised 2003 consensus on diagnostic criteria and long-term health risks related to polycystic ovary syndrome. Fertil Steril 2004;81:19–25.

8. Azziz R, Carmina E, Dewailly D, et al; Androgen Excess Society. Position statement: criteria for defining polycystic ovary syndrome as a predominantly hyperandrogenic syndrome: an Androgen Excess Society guideline. J Clin Endocrinol Metab 2006;91:4237–45.

9. Treloar A, Boynton R, Benn B, Brown B. Variation of human menstrual cycle through reproductive life. Int J Fertil 1967;12:77–126.

10. Vollman RF. The menstrual cycle. Major Probl Obstet Gynecol 1977;7:1–193.

11. Diaz A, Laufer MR, Breech LL; American Academy of Pediatrics Committee on Adolescence; American College of Obstetricians and Gynecologists Committee on Adolescent Health Care. Menstruation in girls and adolescents:using the menstrual cycle as a vital sign. Pediatrics 2006;118:2245–50.

12. Metcalf MG, Skidmore DS, Lowry GF, Mackenzie JA. Incidence of ovulation in the years after the menarche. J Endocrinol 1983;97:213–9.

13. Witchel SF, Oberfield S, Rosenfield RL, et al. The diagnosis of polycystic ovary syndrome during adolescence. Horm Res Paediatr 2015 Apr 1.

14. Deplewski D, Rosenfield RL. Role of hormones in pilosebaceous unit development. Endocr Rev 2000;21:363–92.

15. Martin KA, Chang RJ, Ehrmann DA, et al. Evaluation and treatment of hirsutism in premenopausal women: an endocrine society clinical practice guideline. J Clin Endocrinol Metab 2008;93:1105–20.

16. Escobar-Morreale HF, Carmina E, Dewailly D, et al. Epidemiology, diagnosis and management of hirsutism: a consensus statement by the Androgen Excess and Polycystic Ovary Syndrome Society. Hum Reprod Update 2012;18:146–70.

17. Rosenfield RL. The polycystic ovary morphology-polycystic ovary syndrome spectrum. J Pediatr Adolesc Gynecol 2015;28:412–9.

18. Yildiz BO, Bolour S, Woods K, et al. Visually scoring hirsutism. Hum Reprod Update 2010;16:51–64.

19. Chen WC, Zouboulis CC. Hormones and the pilosebaceous unit. Dermatoendocrinol 2009;1:81–6.

20. Hawryluk EB, English JC 3rd. Female adolescent hair disorders. J Pediatr Adolesc Gynecol 2009;22:271–81.

21. Souter I, Sanchez A, Perez M, et al. The prevalence of androgen excess among patients with minimal unwanted hair growth. Am J Obstet Gynecol 2004;191:1914–20.

22. Di Fede G, Mansueto P, Pepe G, et al. High prevalence of polycystic ovary syndrome in women with mild hirsutism and no other significant clinical symptoms. Fertil Steril 2010; 94:194–7.

23. Chan CNJ, Haines CJ, Chow CCF, et al. Polycystic ovarian syndrome in Hong Kong Chinese women: patient characteristics and diagnostic criteria. Hong Kong Med J 2005;11:336–41.

24. Lucky AW, Biro FM, Simbartl LA, et al. Predictors of severity of acne vulgaris in young adolescent girls: results of a five-year longitudinal study. J Pediatr 1997;130:30–9.

25. Eichenfield LF, Krakowski AC, Piggott C, et al. Evidence-based recommendations for the diagnosis and treatment of pediatric acne. Pediatrics 2013;131:S163–S186.

26. Silfen ME, Denburg MR, Manibo AM, et al. Early endocrine, metabolic, and sonographic characteristics of polycystic ovary syndrome (PCOS): comparison between nonobese and obese adolescents. J Clin Endocrinol Metab 2003;88:4682–8.

27. Carmina E, Oberfield SE, Lobo RA. The diagnosis of polycystic ovary syndrome in adolescents. Am J Obstet Gynecol 2010;203:201.e1–5.

28. Rosenfield RL. The diagnosis of polycystic ovary syndrome in adolescents. Pediatrics 2015;136:1154–65.

29. Cho LW, Jayagopal V, Kilpatrick ES, Holding S. The LH/FSH ratio has little use in diagnosing polycystic ovarian syndrome. Ann Clin Biochem 2006;43(Pt 3):217–9.

30. Rosenfield RL, Cooke DW, Radovick S. Puberty and its disorders in the female. In: Sperling M, editor. Pediatric Endocrinology. 4th ed. Philadelphia: Elsevier; 2014:569–663.

31. Givens JR. Familial polycystic ovarian disease. Endocrinol Metab Clin North Am 1988;17:771–83.

32. Legro RS, Driscoll D, Strauss JF 3rd, Fox J, Dunaif A. Evidence for a genetic basis for hyperandrogenemia in polycystic ovary syndrome. Proc Natl Acad Sci U S A 1998;95:14956–60.

33. Amato P, Simpson JL. The genetics of polycystic ovary syndrome. Best Pract Res Clin Obstet Gynaecol 2005;18:707–18.

34. Prapas N, Karkanaki A, Prapas I, et al. Genetics of polycystic ovary syndrome. Hippokratia 2009;13:216–23.

35. Burghen GA, Givens JR, Kitabchi AE. Correlation of hyperandrogenism with hyperinsulinism in polycystic ovarian disease. J Clin Endocrinol Metab 1980;50:113–6.

36. Diamanti-Kandarakis E, Dunaif A. Insulin resistance and the polycystic ovary syndrome revisited: an update on mechanisms and implications. Endocr Rev 2012;33:981–1030.

37. Dunaif A. Insulin resistance and the polycystic ovary syndrome: mechanism and implications for pathogenesis. Endocr Rev 1997;18:774–800.

38. Chang RJ, Nakamura RM, Judd HL, Kaplan SA. Insulin resistance in nonobese patients with polycystic ovarian disease. J Clin Endocrinol Metab 1983;57:356–9.

39. Dunaif A, Segal KR, Futterweit W, Dobrjansky A. Profound peripheral insulin resistance, independent of obesity, in polycystic ovary syndrome. Diabetes 1989;38:1165–74.

40. Gambineri A, Pelusi C, Vicennati V, et al. Obesity and the polycystic ovary syndrome. Int J Obes Relat Metab Disord 2002;26:883–96.

41. Lewy VD, Danadian K, Witchel SF, Arslanian S. Early metabolic abnormalities in adolescent girls with polycystic ovarian syndrome. J Pediatr 2001;138:38–44.

42. Nestler JE, Jakubowicz DJ, de Vargas AF, et al. Insulin stimulates testosterone biosynthesis by human thecal cells from women with polycystic ovary syndrome by activating its own receptor and using inositolglycan mediators as the signal transduction system. J Clin Endocrinol Metab 1998;83:2001–5.

43. Blank SK, McCartney CR, Marshall JC. The origins and sequelae of abnormal neuroendocrine function in polycystic ovary syndrome. Hum Reprod Update 2006;12:351–61.

44. McCartney CR, Prendergast KA, Chhabra S, et al. The association of obesity and hyperandrogenemia during the pubertal transition in girls: obesity as a potential factor in the genesis of postpubertal hyperandrogenism. J Clin Endocrinol Metab 2006;91:1714–22.

45. McCartney CR, Blank SK, Prendergast KA, et al. Obesity and sex steroid changes across puberty: evidence for marked hyperandrogenemia in pre- and early pubertal obese girls. J Clin Endocrinol Metab 2007;92:430–6.

46. Knudsen KL, Blank SK, Burt Solorzano C, et al. Hyperandrogenemia in obese peripubertal girls: correlates and potential etiological determinants. Obesity (Silver Spring) 2010;18:2118–24.

47. Venturoli S, Porcu E, Fabbri R, et al. Longitudinal change of sonographic ovarian aspects and endocrine parameters in irregular cycles of adolescence. Pediatr Res 1995;38:974–80.

48. Mortensen M, Rosenfield RL, Littlejohn E. Functional significance of polycystic-size ovaries in healthy adolescents. J Clin Endocrinol Metab 2006;91:3786–90.

49. Fruzzetti F, Campagna AM, Perini D, Carmina E. Ovarian volume in normal and hyperandrogenic adolescent women. Fertil Steril 2015;104:196–9.

50. Fearnley EJ, Marquart L, Spurdle AB, et al, the Australian Ovarian Cancer Study Group and the Australian National Endometrial Study Group. Polycystic ovary syndrome increases the risk of endometrial cancer in women aged less than 50 years: an Austrialian case-control study. Cancer Causes Control 2010;21:2303–8.

51. Legro RS, Arslanian SA, Ehrmann DA, et al; Endocrine Society. Diagnosis and treatment of polycystic ovary syndrome: an Endocrine Society clinical practice guideline. J Clin Endocrinol Metab 2013;98:4565-92.

52. Domecq JP, Prutsky G, Mullan RJ, et al. Lifestyle modification programs in polycystic ovary syndrome: systematic review and meta-analysis. J Clin Endocrinol Metab 2013;98:4655.

53. Lass N, Kleber M, Winkel K, et al. Effect of lifestyle intervention on features of polycystic ovarian syndrome, metabolic syndrome, and intima-media thickness in obese adolescent girls. J Clin Endocrinol Metab 2011;96:3533.

54. Costello M, Eden J. A systematic review of the reproductive system effects of metformin in patients with polycystic ovary syndrome. Fertil Steril 2003;79:1–13.

55. Lord JM, Flight IH, Norman RJ. Metformin in polycystic ovary syndrome: systematic review and meta-analysis. BMJ 2003;327:951–3.

56. Auble B, Elder D, Gross A, Hillman JB. Differences in the management of adolescents with polycystic ovary syndrome across pediatric specialties. J Pediatr Adolesc Gynecol 2013;26:234–8.

57. Martin KA, Chang J, Ehrmann DA, et al. Evaluation and treatment of hirsutism in premenopausal women: an Endocrine Society clincal practice guideline. J Clin Endocrinol Metab 2008;93:1105–20.

58. Geller DH, Pacaud D, Gordon CM, Misra M, for the Drug and Therapeutics Committee of the Pediatric Endocrine Society. State of the art review: emerging therapies: the use of insulin sensitizers in the treatment of adolescents with polycystic ovary syndrome (PCOS). Int J Ped Endocrinol 2011;2011:9.

59. Tfayli H, Ulnach JW, Lee S, et al. Drospirenon/ethinyl estradiol versus rosiglitazone treatment in overweight adolescents with polycystic ovary syndrome: comparison of metabolic, hormonal and cardiovascular risk factors. J Clin Endocrinol Metab 2011;96:1311–9.

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Journal of Clinical Outcomes Management - May 2016, VOL. 23, NO. 5
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Journal of Clinical Outcomes Management - May 2016, VOL. 23, NO. 5
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Robert E. Burke, MD, MS, Earns 2016 SHM Junior Investigator Award

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Robert E. Burke, MD, MS, Earns 2016 SHM Junior Investigator Award

The Society of Hospital Medicine (SHM) proudly names Robert E. Burke, MD, MS, assistant chief of hospital medicine at Denver VA Medical Center, as the recipient of the 2016 Junior Investigator Award. He will receive the award at HM16 in San Diego.

Robert E. Burke, MD, MS

Dr. Burke’s research focuses on improving transitional care outcomes for older adults. An academic hospitalist and health services researcher, Dr. Burke is working toward becoming a nationally recognized outcomes researcher and implementation scientist working in hospitals and post-acute-care (PAC) facilities.

In addition to this award, Dr. Burke also received the 2015 Career Development Award from SHM, the Alliance for Academic Internal Medicine, and the Association of Specialty Professors in support of the Grants for Early Medical/Surgical Subspecialists’ Transition to Aging Research Program (GEMSSTAR).

The Junior Investigator Award recognizes talented early-stage investigators in the first five years of a faculty position. Criteria for selection include the impact the research may have on hospital medicine, career achievements and milestones (e.g., abstracts, peer-reviewed publications, intra- and extramural grant funding), and engagement with SHM. TH

Brett Radler is SHM’s communications coordinator.

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The Society of Hospital Medicine (SHM) proudly names Robert E. Burke, MD, MS, assistant chief of hospital medicine at Denver VA Medical Center, as the recipient of the 2016 Junior Investigator Award. He will receive the award at HM16 in San Diego.

Robert E. Burke, MD, MS

Dr. Burke’s research focuses on improving transitional care outcomes for older adults. An academic hospitalist and health services researcher, Dr. Burke is working toward becoming a nationally recognized outcomes researcher and implementation scientist working in hospitals and post-acute-care (PAC) facilities.

In addition to this award, Dr. Burke also received the 2015 Career Development Award from SHM, the Alliance for Academic Internal Medicine, and the Association of Specialty Professors in support of the Grants for Early Medical/Surgical Subspecialists’ Transition to Aging Research Program (GEMSSTAR).

The Junior Investigator Award recognizes talented early-stage investigators in the first five years of a faculty position. Criteria for selection include the impact the research may have on hospital medicine, career achievements and milestones (e.g., abstracts, peer-reviewed publications, intra- and extramural grant funding), and engagement with SHM. TH

Brett Radler is SHM’s communications coordinator.

The Society of Hospital Medicine (SHM) proudly names Robert E. Burke, MD, MS, assistant chief of hospital medicine at Denver VA Medical Center, as the recipient of the 2016 Junior Investigator Award. He will receive the award at HM16 in San Diego.

Robert E. Burke, MD, MS

Dr. Burke’s research focuses on improving transitional care outcomes for older adults. An academic hospitalist and health services researcher, Dr. Burke is working toward becoming a nationally recognized outcomes researcher and implementation scientist working in hospitals and post-acute-care (PAC) facilities.

In addition to this award, Dr. Burke also received the 2015 Career Development Award from SHM, the Alliance for Academic Internal Medicine, and the Association of Specialty Professors in support of the Grants for Early Medical/Surgical Subspecialists’ Transition to Aging Research Program (GEMSSTAR).

The Junior Investigator Award recognizes talented early-stage investigators in the first five years of a faculty position. Criteria for selection include the impact the research may have on hospital medicine, career achievements and milestones (e.g., abstracts, peer-reviewed publications, intra- and extramural grant funding), and engagement with SHM. TH

Brett Radler is SHM’s communications coordinator.

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Robert E. Burke, MD, MS, Earns 2016 SHM Junior Investigator Award
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Gene variants linked to drug intolerance

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Gene variants linked to drug intolerance

Prescription medications

Photo courtesy of the CDC

New research has revealed inherited genetic variations that may predispose patients to severe toxicity from thiopurines, a class of medications used as anticancer and immunosuppressive drugs.

Investigators identified 4 variations in the NUDT15 gene that alter thiopurine metabolism, leaving patients particularly sensitive to the drugs and at risk for toxicity.

One in 3 Japanese patients in this study carried the variations.

And evidence suggests the variations are common in other populations across Asia and in individuals of Hispanic ethnicity.

Jun J. Yang, PhD, of St. Jude Children’s Research Hospital in Memphis, Tennessee, and his colleagues reported these findings in Nature Genetics.

In 2015, Dr Yang and his colleagues published evidence linking a NUDT15 variant to reduced tolerance of mercaptopurine and reported the variant was more common in patients of East Asian ancestry.

With the current study, the investigators identified 3 additional NUDT15 variants and found that all 4 variants—p.Arg139Cys, p.Arg139His, p.Val18Ile, and p.Val18_Val19insGlyVal—were associated with lower levels of enzymatic activity and imbalance of thiopurine metabolism.

In a group of 270 children with acute lymphoblastic leukemia (ALL), the variants caused a 74.4% to 100% loss of NUDT15 function. They also predicted enzyme activity and mercaptopurine tolerance. In Singapore and Japan, for example, patients with the 2 highest risk variants had the lowest level of enzyme activity.

“These patients had excessive levels of the active drug metabolites per mercaptopurine dose, which suggests we may reduce the drug dose to achieve the level necessary to kill leukemia cells without causing toxicity,” Dr Yang said, adding that the NUDT15 variants have no other known health consequences.

The investigators also checked leukemic cells from 285 children newly diagnosed with ALL and found that patients with NUDT15 variants were more sensitive to thiopurines.

“That suggests we can screen for NUDT15 variants and potentially plan mercaptopurine doses according to each patient’s genotype before the therapy starts,” Dr Yang said. “This way, we hope to avoid toxicity without compromising treatment effectiveness.”

The investigators noted that future studies are needed to determine optimal thiopurine doses for patients with different NUDT15 variants.

Meanwhile, the search continues for variants in NUDT15 or other genes that influence chemotherapy effectiveness and safety. The NUDT15 variants and previously identified TPMT variants could not fully explain why Guatemalan patients in this study tolerated the lowest doses of mercaptopurine.

Publications
Topics

Prescription medications

Photo courtesy of the CDC

New research has revealed inherited genetic variations that may predispose patients to severe toxicity from thiopurines, a class of medications used as anticancer and immunosuppressive drugs.

Investigators identified 4 variations in the NUDT15 gene that alter thiopurine metabolism, leaving patients particularly sensitive to the drugs and at risk for toxicity.

One in 3 Japanese patients in this study carried the variations.

And evidence suggests the variations are common in other populations across Asia and in individuals of Hispanic ethnicity.

Jun J. Yang, PhD, of St. Jude Children’s Research Hospital in Memphis, Tennessee, and his colleagues reported these findings in Nature Genetics.

In 2015, Dr Yang and his colleagues published evidence linking a NUDT15 variant to reduced tolerance of mercaptopurine and reported the variant was more common in patients of East Asian ancestry.

With the current study, the investigators identified 3 additional NUDT15 variants and found that all 4 variants—p.Arg139Cys, p.Arg139His, p.Val18Ile, and p.Val18_Val19insGlyVal—were associated with lower levels of enzymatic activity and imbalance of thiopurine metabolism.

In a group of 270 children with acute lymphoblastic leukemia (ALL), the variants caused a 74.4% to 100% loss of NUDT15 function. They also predicted enzyme activity and mercaptopurine tolerance. In Singapore and Japan, for example, patients with the 2 highest risk variants had the lowest level of enzyme activity.

“These patients had excessive levels of the active drug metabolites per mercaptopurine dose, which suggests we may reduce the drug dose to achieve the level necessary to kill leukemia cells without causing toxicity,” Dr Yang said, adding that the NUDT15 variants have no other known health consequences.

The investigators also checked leukemic cells from 285 children newly diagnosed with ALL and found that patients with NUDT15 variants were more sensitive to thiopurines.

“That suggests we can screen for NUDT15 variants and potentially plan mercaptopurine doses according to each patient’s genotype before the therapy starts,” Dr Yang said. “This way, we hope to avoid toxicity without compromising treatment effectiveness.”

The investigators noted that future studies are needed to determine optimal thiopurine doses for patients with different NUDT15 variants.

Meanwhile, the search continues for variants in NUDT15 or other genes that influence chemotherapy effectiveness and safety. The NUDT15 variants and previously identified TPMT variants could not fully explain why Guatemalan patients in this study tolerated the lowest doses of mercaptopurine.

Prescription medications

Photo courtesy of the CDC

New research has revealed inherited genetic variations that may predispose patients to severe toxicity from thiopurines, a class of medications used as anticancer and immunosuppressive drugs.

Investigators identified 4 variations in the NUDT15 gene that alter thiopurine metabolism, leaving patients particularly sensitive to the drugs and at risk for toxicity.

One in 3 Japanese patients in this study carried the variations.

And evidence suggests the variations are common in other populations across Asia and in individuals of Hispanic ethnicity.

Jun J. Yang, PhD, of St. Jude Children’s Research Hospital in Memphis, Tennessee, and his colleagues reported these findings in Nature Genetics.

In 2015, Dr Yang and his colleagues published evidence linking a NUDT15 variant to reduced tolerance of mercaptopurine and reported the variant was more common in patients of East Asian ancestry.

With the current study, the investigators identified 3 additional NUDT15 variants and found that all 4 variants—p.Arg139Cys, p.Arg139His, p.Val18Ile, and p.Val18_Val19insGlyVal—were associated with lower levels of enzymatic activity and imbalance of thiopurine metabolism.

In a group of 270 children with acute lymphoblastic leukemia (ALL), the variants caused a 74.4% to 100% loss of NUDT15 function. They also predicted enzyme activity and mercaptopurine tolerance. In Singapore and Japan, for example, patients with the 2 highest risk variants had the lowest level of enzyme activity.

“These patients had excessive levels of the active drug metabolites per mercaptopurine dose, which suggests we may reduce the drug dose to achieve the level necessary to kill leukemia cells without causing toxicity,” Dr Yang said, adding that the NUDT15 variants have no other known health consequences.

The investigators also checked leukemic cells from 285 children newly diagnosed with ALL and found that patients with NUDT15 variants were more sensitive to thiopurines.

“That suggests we can screen for NUDT15 variants and potentially plan mercaptopurine doses according to each patient’s genotype before the therapy starts,” Dr Yang said. “This way, we hope to avoid toxicity without compromising treatment effectiveness.”

The investigators noted that future studies are needed to determine optimal thiopurine doses for patients with different NUDT15 variants.

Meanwhile, the search continues for variants in NUDT15 or other genes that influence chemotherapy effectiveness and safety. The NUDT15 variants and previously identified TPMT variants could not fully explain why Guatemalan patients in this study tolerated the lowest doses of mercaptopurine.

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The Clinical Learning Environment Review as a Model for Impactful Self-directed Quality Control Initiatives in Clinical Practice

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As part of its Next Accreditation System, the Accreditation Council for Graduate Medical Education (ACGME) has introduced the Clinical Learning Environment Review (CLER) program, designed to assess the learning environment of institutions that have ACGME residency and fellowship programs.1 The CLER program emphasizes the responsibility of these hospitals, multispecialty groups, and other organizations to focus on quality and safety in the health care environment of resident learning and patient care. The expectation is that emphasis on quality of care in a residency training program will influence these physicians’ approach to quality of care after graduation.2,3 The Department of Dermatology at the University of Mississippi Medical Center (UMMC)(Jackson, Mississippi) saw CLER as an opportunity to demonstrate leadership in the patient safety movement.

CLER Program at UMMC

As a model CLER program at our institution, our project at the outset concentrated resident efforts on the focus areas specified by the ACGME (Table 1). We also were aware that our ACGME committee would need to answer questions during CLER site visits (Table 2). Because the data generated would not be used for accreditation decisions, there was no concern that exposing errors would jeopardize our postgraduate training certification.

The first 15 minutes of monthly faculty meetings were devoted to the presentation of a resident project, called a QA/QI (quality assurance/quality improvement) moment, that addressed ACGME focus areas 1, 2, 3, or 6 (Table 1). (Transitions in care [focus area 4] and work hours and fatigue [focus area 5] generally are less important issues in a predominantly outpatient specialty such as dermatology.) The residents were encouraged to identify areas where patient harm could occur due to poorly designed systems and to report situations in which patients actually were harmed.

Each project had to be approved by the department chairperson based on the following 4 requirements: First, the initiative must have the potential to notably impact patient safety and reduce harm. Second, residents with faculty support had to design methods to assess the identified problem. Third, participants had to design (to the best of their abilities) cost-effective and achievable interventions in a manner that would not produce unintended consequences. Fourth, residents were asked to devise a system to close the loop, ensuring that the effort put into the process was not wasted.

Findings From the CLER Program

The CLER program generates data on program and institutional attributes that have a salutatory effect on quality and safety, specifically involving 6 focus areas highlighted in Table 1. Putting residents at the center of efforts to improve the quality of care in our department proved critical to improving patient safety.

Involving residents in a series of QA/QI initiatives was logical because they rotate with faculty members. They also are in a position to view inconsistencies and to work to establish consistent patterns of patient care. In addition, our busy faculty members are charged with a variety of other clinical, educational, and administrative duties complicated by requirements in the design of a new residency training program. Faculty and residents working together were able to find problem areas in our department and devise solutions to improve those problems.

The CLER program involved a series of steps. Residents were charged with identifying errors (QA) and then devising a system to prevent similar errors from being repeated (QI)(Table 3). Efforts focused on preventing needless harm in our department. Initiatives developed by residents, who are closest to patients, have advantages over safety programs developed by the hospital’s administration. Residents became passionate about error prevention when they determined that their efforts could make a difference to patients.

Forward Thinking for Dermatology Practices

Perhaps there are lessons here that could apply to safety promotion in the practicing dermatologist’s office. The American Board of Dermatology, within the framework established by the American Board of Medical Specialties, requires physicians seeking recertification to participate in preapproved practice assessment QI exercises twice every 10 years.17 Six programs sponsored by the American Academy of Dermatology have now been approved in the areas of melanoma, biopsy follow-up measure, psoriasis, chronic urticaria, venous insufficiency, and laser- and light-based therapy for rejuvenation.18 An additional program has been approved for dermatopathologists through the American Society of Dermatopathology.19 None of these programs match the topics chosen by our residents in consultation with faculty to meet safety gaps identified in clinics at UMMC. Perhaps the next generation of performance improvement continuing medical education programs could include a pilot program for part 4 of Maintenance of Certification credit that is nonpunitive, patient focused, and allows dermatologists to design specific error-prevention solutions tailored to their individual practice in the same way residency programs are taking up this task.

References
  1. Nasca TJ, Philibert I, Brigham T, et al. The Next GME accreditation system—rationale and benefits. N Engl J Med. 2012;366:1051-1056.
  2. Philibert I, Gonzalez del Rey JA, Lannon C, et al. Quality improvement skills for pediatric residents: from lecture to implementation and sustainability. Acad Pediatr. 2014;14:40-46.
  3. Vidyarthi AR, Green AL, Rosenbluth G, et al. Engaging residents and fellows to improve institution-wide quality: the first six years of a novel financial incentive program. Acad Med. 2014;89:460-468.
  4. Brodell RT, Elewski B. Antifungal drug interactions. avoidance requires more than memorization. Postgrad Med. 2000;107:41-43.
  5. Kerr IG, Jolivet J, Collin JM, et al. Test dose for predicting high-dose methotrexate infusions. Clin Pharmacol Ther. 1983;33:44-51.
  6. Menter A, Korman NJ, Elmets CA, et al. Guidelines of care for the management of psoriasis and psoriatic arthritis: section 4. guidelines of care for the management and treatment of psoriasis with traditional systemic agents. J Am Acad Dermatol. 2009;61:451-485.
  7. Saporito FC, Menter MA. Methotrexate and psoriasis in the era of new biologic agents. J Am Acad Dermatol. 2004;50:301-309.
  8. Van Der Sijs H, Aarts J, Vulto A, et al. Overriding of drug safety alerts in computerized physician order entry. J Am Med Inform Assoc. 2006;13:138-147.
  9. Hunter KM. Implementation of an electronic medication administration record and bedside verification system. Online J Nurs Inform (OJNI). 2011;15:672.
  10. Nanji KC, Slight SP, Seger DL, et al. Overrides of medication-related clinical decision support alerts in outpatients. J Am Med Inform Assoc. 2014;21:487-491.
  11. Schedlbauer A, Prasad V, Mulvaney C, et al. What evidence supports the use of computerized alerts and prompts to improve clinicians’ prescribing behavior? J Am Med Inform Assoc. 2009;16:531-538.
  12. Lee EK, Mejia AF, Senior T, et al. Improving patient safety through medical alert management: an automated decision tool to reduce alert fatigue. AMIA Annu Symp Proc. 2010;2010:417-421.
  13. Brenner AB. Physician and nurse relationships, a key to patient safety. J Ky Med Assoc. 2007;105:165-169.
  14. Rush JL, Flowers RH, Casamiquela KM, et al. Research letter: the knock: an adjunct to education opening the door to improved outpatient hand hygiene. J Am Acad Dermatol. In press.
  15. Lee SL. The extended surgical time-out: does it improve quality and prevent wrong-site surgery? Perm J. 2010;14:19-23.
  16. Altpeter T, Luckhardt K, Lewis JN, et al. Expanded surgical time out: a key to real-time data collection and quality improvement. J Am Coll Surg. 2007;204:527-532.
  17. MOC requirements. American Board of Dermatology Web site. https://www.abderm.org/diplomates/fulfilling-moc-requirements/moc-requirements.aspx#PI. Accessed January 18, 2016.
  18. How AAD develops measures. American Academy of Dermatology Web site. https://www.aad.org/practice-tools/quality-care/quality-measures. Accessed January 20, 2016.
  19. Quality assurance programs. The American Society of Dermatopathology Web site. http://www.asdp.org/education/quality-assurance-programs. Accessed January 20, 2016.
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All from the Department of Dermatology, University of Mississippi Medical Center, Jackson. Dr. Brodell also is from the Department of Pathology, University of Mississippi Medical Center, and the University of Rochester School of Medicine and Dentistry, New York.

The authors report no conflict of interest.

Correspondence: Jeremy D. Jackson, MD, Department of Dermatology, University of Mississippi Medical Center, 2500 N State St, Jackson, MS 39216 ([email protected]).

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All from the Department of Dermatology, University of Mississippi Medical Center, Jackson. Dr. Brodell also is from the Department of Pathology, University of Mississippi Medical Center, and the University of Rochester School of Medicine and Dentistry, New York.

The authors report no conflict of interest.

Correspondence: Jeremy D. Jackson, MD, Department of Dermatology, University of Mississippi Medical Center, 2500 N State St, Jackson, MS 39216 ([email protected]).

Author and Disclosure Information

All from the Department of Dermatology, University of Mississippi Medical Center, Jackson. Dr. Brodell also is from the Department of Pathology, University of Mississippi Medical Center, and the University of Rochester School of Medicine and Dentistry, New York.

The authors report no conflict of interest.

Correspondence: Jeremy D. Jackson, MD, Department of Dermatology, University of Mississippi Medical Center, 2500 N State St, Jackson, MS 39216 ([email protected]).

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As part of its Next Accreditation System, the Accreditation Council for Graduate Medical Education (ACGME) has introduced the Clinical Learning Environment Review (CLER) program, designed to assess the learning environment of institutions that have ACGME residency and fellowship programs.1 The CLER program emphasizes the responsibility of these hospitals, multispecialty groups, and other organizations to focus on quality and safety in the health care environment of resident learning and patient care. The expectation is that emphasis on quality of care in a residency training program will influence these physicians’ approach to quality of care after graduation.2,3 The Department of Dermatology at the University of Mississippi Medical Center (UMMC)(Jackson, Mississippi) saw CLER as an opportunity to demonstrate leadership in the patient safety movement.

CLER Program at UMMC

As a model CLER program at our institution, our project at the outset concentrated resident efforts on the focus areas specified by the ACGME (Table 1). We also were aware that our ACGME committee would need to answer questions during CLER site visits (Table 2). Because the data generated would not be used for accreditation decisions, there was no concern that exposing errors would jeopardize our postgraduate training certification.

The first 15 minutes of monthly faculty meetings were devoted to the presentation of a resident project, called a QA/QI (quality assurance/quality improvement) moment, that addressed ACGME focus areas 1, 2, 3, or 6 (Table 1). (Transitions in care [focus area 4] and work hours and fatigue [focus area 5] generally are less important issues in a predominantly outpatient specialty such as dermatology.) The residents were encouraged to identify areas where patient harm could occur due to poorly designed systems and to report situations in which patients actually were harmed.

Each project had to be approved by the department chairperson based on the following 4 requirements: First, the initiative must have the potential to notably impact patient safety and reduce harm. Second, residents with faculty support had to design methods to assess the identified problem. Third, participants had to design (to the best of their abilities) cost-effective and achievable interventions in a manner that would not produce unintended consequences. Fourth, residents were asked to devise a system to close the loop, ensuring that the effort put into the process was not wasted.

Findings From the CLER Program

The CLER program generates data on program and institutional attributes that have a salutatory effect on quality and safety, specifically involving 6 focus areas highlighted in Table 1. Putting residents at the center of efforts to improve the quality of care in our department proved critical to improving patient safety.

Involving residents in a series of QA/QI initiatives was logical because they rotate with faculty members. They also are in a position to view inconsistencies and to work to establish consistent patterns of patient care. In addition, our busy faculty members are charged with a variety of other clinical, educational, and administrative duties complicated by requirements in the design of a new residency training program. Faculty and residents working together were able to find problem areas in our department and devise solutions to improve those problems.

The CLER program involved a series of steps. Residents were charged with identifying errors (QA) and then devising a system to prevent similar errors from being repeated (QI)(Table 3). Efforts focused on preventing needless harm in our department. Initiatives developed by residents, who are closest to patients, have advantages over safety programs developed by the hospital’s administration. Residents became passionate about error prevention when they determined that their efforts could make a difference to patients.

Forward Thinking for Dermatology Practices

Perhaps there are lessons here that could apply to safety promotion in the practicing dermatologist’s office. The American Board of Dermatology, within the framework established by the American Board of Medical Specialties, requires physicians seeking recertification to participate in preapproved practice assessment QI exercises twice every 10 years.17 Six programs sponsored by the American Academy of Dermatology have now been approved in the areas of melanoma, biopsy follow-up measure, psoriasis, chronic urticaria, venous insufficiency, and laser- and light-based therapy for rejuvenation.18 An additional program has been approved for dermatopathologists through the American Society of Dermatopathology.19 None of these programs match the topics chosen by our residents in consultation with faculty to meet safety gaps identified in clinics at UMMC. Perhaps the next generation of performance improvement continuing medical education programs could include a pilot program for part 4 of Maintenance of Certification credit that is nonpunitive, patient focused, and allows dermatologists to design specific error-prevention solutions tailored to their individual practice in the same way residency programs are taking up this task.

As part of its Next Accreditation System, the Accreditation Council for Graduate Medical Education (ACGME) has introduced the Clinical Learning Environment Review (CLER) program, designed to assess the learning environment of institutions that have ACGME residency and fellowship programs.1 The CLER program emphasizes the responsibility of these hospitals, multispecialty groups, and other organizations to focus on quality and safety in the health care environment of resident learning and patient care. The expectation is that emphasis on quality of care in a residency training program will influence these physicians’ approach to quality of care after graduation.2,3 The Department of Dermatology at the University of Mississippi Medical Center (UMMC)(Jackson, Mississippi) saw CLER as an opportunity to demonstrate leadership in the patient safety movement.

CLER Program at UMMC

As a model CLER program at our institution, our project at the outset concentrated resident efforts on the focus areas specified by the ACGME (Table 1). We also were aware that our ACGME committee would need to answer questions during CLER site visits (Table 2). Because the data generated would not be used for accreditation decisions, there was no concern that exposing errors would jeopardize our postgraduate training certification.

The first 15 minutes of monthly faculty meetings were devoted to the presentation of a resident project, called a QA/QI (quality assurance/quality improvement) moment, that addressed ACGME focus areas 1, 2, 3, or 6 (Table 1). (Transitions in care [focus area 4] and work hours and fatigue [focus area 5] generally are less important issues in a predominantly outpatient specialty such as dermatology.) The residents were encouraged to identify areas where patient harm could occur due to poorly designed systems and to report situations in which patients actually were harmed.

Each project had to be approved by the department chairperson based on the following 4 requirements: First, the initiative must have the potential to notably impact patient safety and reduce harm. Second, residents with faculty support had to design methods to assess the identified problem. Third, participants had to design (to the best of their abilities) cost-effective and achievable interventions in a manner that would not produce unintended consequences. Fourth, residents were asked to devise a system to close the loop, ensuring that the effort put into the process was not wasted.

Findings From the CLER Program

The CLER program generates data on program and institutional attributes that have a salutatory effect on quality and safety, specifically involving 6 focus areas highlighted in Table 1. Putting residents at the center of efforts to improve the quality of care in our department proved critical to improving patient safety.

Involving residents in a series of QA/QI initiatives was logical because they rotate with faculty members. They also are in a position to view inconsistencies and to work to establish consistent patterns of patient care. In addition, our busy faculty members are charged with a variety of other clinical, educational, and administrative duties complicated by requirements in the design of a new residency training program. Faculty and residents working together were able to find problem areas in our department and devise solutions to improve those problems.

The CLER program involved a series of steps. Residents were charged with identifying errors (QA) and then devising a system to prevent similar errors from being repeated (QI)(Table 3). Efforts focused on preventing needless harm in our department. Initiatives developed by residents, who are closest to patients, have advantages over safety programs developed by the hospital’s administration. Residents became passionate about error prevention when they determined that their efforts could make a difference to patients.

Forward Thinking for Dermatology Practices

Perhaps there are lessons here that could apply to safety promotion in the practicing dermatologist’s office. The American Board of Dermatology, within the framework established by the American Board of Medical Specialties, requires physicians seeking recertification to participate in preapproved practice assessment QI exercises twice every 10 years.17 Six programs sponsored by the American Academy of Dermatology have now been approved in the areas of melanoma, biopsy follow-up measure, psoriasis, chronic urticaria, venous insufficiency, and laser- and light-based therapy for rejuvenation.18 An additional program has been approved for dermatopathologists through the American Society of Dermatopathology.19 None of these programs match the topics chosen by our residents in consultation with faculty to meet safety gaps identified in clinics at UMMC. Perhaps the next generation of performance improvement continuing medical education programs could include a pilot program for part 4 of Maintenance of Certification credit that is nonpunitive, patient focused, and allows dermatologists to design specific error-prevention solutions tailored to their individual practice in the same way residency programs are taking up this task.

References
  1. Nasca TJ, Philibert I, Brigham T, et al. The Next GME accreditation system—rationale and benefits. N Engl J Med. 2012;366:1051-1056.
  2. Philibert I, Gonzalez del Rey JA, Lannon C, et al. Quality improvement skills for pediatric residents: from lecture to implementation and sustainability. Acad Pediatr. 2014;14:40-46.
  3. Vidyarthi AR, Green AL, Rosenbluth G, et al. Engaging residents and fellows to improve institution-wide quality: the first six years of a novel financial incentive program. Acad Med. 2014;89:460-468.
  4. Brodell RT, Elewski B. Antifungal drug interactions. avoidance requires more than memorization. Postgrad Med. 2000;107:41-43.
  5. Kerr IG, Jolivet J, Collin JM, et al. Test dose for predicting high-dose methotrexate infusions. Clin Pharmacol Ther. 1983;33:44-51.
  6. Menter A, Korman NJ, Elmets CA, et al. Guidelines of care for the management of psoriasis and psoriatic arthritis: section 4. guidelines of care for the management and treatment of psoriasis with traditional systemic agents. J Am Acad Dermatol. 2009;61:451-485.
  7. Saporito FC, Menter MA. Methotrexate and psoriasis in the era of new biologic agents. J Am Acad Dermatol. 2004;50:301-309.
  8. Van Der Sijs H, Aarts J, Vulto A, et al. Overriding of drug safety alerts in computerized physician order entry. J Am Med Inform Assoc. 2006;13:138-147.
  9. Hunter KM. Implementation of an electronic medication administration record and bedside verification system. Online J Nurs Inform (OJNI). 2011;15:672.
  10. Nanji KC, Slight SP, Seger DL, et al. Overrides of medication-related clinical decision support alerts in outpatients. J Am Med Inform Assoc. 2014;21:487-491.
  11. Schedlbauer A, Prasad V, Mulvaney C, et al. What evidence supports the use of computerized alerts and prompts to improve clinicians’ prescribing behavior? J Am Med Inform Assoc. 2009;16:531-538.
  12. Lee EK, Mejia AF, Senior T, et al. Improving patient safety through medical alert management: an automated decision tool to reduce alert fatigue. AMIA Annu Symp Proc. 2010;2010:417-421.
  13. Brenner AB. Physician and nurse relationships, a key to patient safety. J Ky Med Assoc. 2007;105:165-169.
  14. Rush JL, Flowers RH, Casamiquela KM, et al. Research letter: the knock: an adjunct to education opening the door to improved outpatient hand hygiene. J Am Acad Dermatol. In press.
  15. Lee SL. The extended surgical time-out: does it improve quality and prevent wrong-site surgery? Perm J. 2010;14:19-23.
  16. Altpeter T, Luckhardt K, Lewis JN, et al. Expanded surgical time out: a key to real-time data collection and quality improvement. J Am Coll Surg. 2007;204:527-532.
  17. MOC requirements. American Board of Dermatology Web site. https://www.abderm.org/diplomates/fulfilling-moc-requirements/moc-requirements.aspx#PI. Accessed January 18, 2016.
  18. How AAD develops measures. American Academy of Dermatology Web site. https://www.aad.org/practice-tools/quality-care/quality-measures. Accessed January 20, 2016.
  19. Quality assurance programs. The American Society of Dermatopathology Web site. http://www.asdp.org/education/quality-assurance-programs. Accessed January 20, 2016.
References
  1. Nasca TJ, Philibert I, Brigham T, et al. The Next GME accreditation system—rationale and benefits. N Engl J Med. 2012;366:1051-1056.
  2. Philibert I, Gonzalez del Rey JA, Lannon C, et al. Quality improvement skills for pediatric residents: from lecture to implementation and sustainability. Acad Pediatr. 2014;14:40-46.
  3. Vidyarthi AR, Green AL, Rosenbluth G, et al. Engaging residents and fellows to improve institution-wide quality: the first six years of a novel financial incentive program. Acad Med. 2014;89:460-468.
  4. Brodell RT, Elewski B. Antifungal drug interactions. avoidance requires more than memorization. Postgrad Med. 2000;107:41-43.
  5. Kerr IG, Jolivet J, Collin JM, et al. Test dose for predicting high-dose methotrexate infusions. Clin Pharmacol Ther. 1983;33:44-51.
  6. Menter A, Korman NJ, Elmets CA, et al. Guidelines of care for the management of psoriasis and psoriatic arthritis: section 4. guidelines of care for the management and treatment of psoriasis with traditional systemic agents. J Am Acad Dermatol. 2009;61:451-485.
  7. Saporito FC, Menter MA. Methotrexate and psoriasis in the era of new biologic agents. J Am Acad Dermatol. 2004;50:301-309.
  8. Van Der Sijs H, Aarts J, Vulto A, et al. Overriding of drug safety alerts in computerized physician order entry. J Am Med Inform Assoc. 2006;13:138-147.
  9. Hunter KM. Implementation of an electronic medication administration record and bedside verification system. Online J Nurs Inform (OJNI). 2011;15:672.
  10. Nanji KC, Slight SP, Seger DL, et al. Overrides of medication-related clinical decision support alerts in outpatients. J Am Med Inform Assoc. 2014;21:487-491.
  11. Schedlbauer A, Prasad V, Mulvaney C, et al. What evidence supports the use of computerized alerts and prompts to improve clinicians’ prescribing behavior? J Am Med Inform Assoc. 2009;16:531-538.
  12. Lee EK, Mejia AF, Senior T, et al. Improving patient safety through medical alert management: an automated decision tool to reduce alert fatigue. AMIA Annu Symp Proc. 2010;2010:417-421.
  13. Brenner AB. Physician and nurse relationships, a key to patient safety. J Ky Med Assoc. 2007;105:165-169.
  14. Rush JL, Flowers RH, Casamiquela KM, et al. Research letter: the knock: an adjunct to education opening the door to improved outpatient hand hygiene. J Am Acad Dermatol. In press.
  15. Lee SL. The extended surgical time-out: does it improve quality and prevent wrong-site surgery? Perm J. 2010;14:19-23.
  16. Altpeter T, Luckhardt K, Lewis JN, et al. Expanded surgical time out: a key to real-time data collection and quality improvement. J Am Coll Surg. 2007;204:527-532.
  17. MOC requirements. American Board of Dermatology Web site. https://www.abderm.org/diplomates/fulfilling-moc-requirements/moc-requirements.aspx#PI. Accessed January 18, 2016.
  18. How AAD develops measures. American Academy of Dermatology Web site. https://www.aad.org/practice-tools/quality-care/quality-measures. Accessed January 20, 2016.
  19. Quality assurance programs. The American Society of Dermatopathology Web site. http://www.asdp.org/education/quality-assurance-programs. Accessed January 20, 2016.
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  • The Clinical Learning Environment Review mobilizes residency and fellowship training programs in the movement to improve the quality of patient care.
  • Quality assessment/quality improvement (QA/QI) projects enhance communication between residents and faculty and promote systems that improve patient safety.
  • Emphasis on resident-initiated QA/QI impacts quality of care in clinical practice long after graduation.
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Electronic Assessment of Mental Status

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Testing the functional assessment of mentation: A mobile application based assessment of mental status

Altered mental status (AMS) is a complex spectrum of cognitive deficits that includes orientation, memory, language, visuospatial ability, and perception.[1] The clinical definitions of both delirium and dementia include AMS as a hallmark clinical prerequisite. Regardless of etiology, this broader AMS definition is particularly salient in the hospital setting, where AMS is present in up to 60% of inpatients and is associated with longer hospital stay as well as increased morbidity and mortality.[2, 3] Not surprisingly, due to the complexity of identifying and assessing changes in mental status, clinically relevant AMS is often undetected among inpatients.[2] However, when detected, the most common causes of AMS (infection, polypharmacy, and pain) are treatable, suggesting that early AMS identification could alert clinicians to early signs of clinical decompensation, potentially improving clinical outcomes.[4]

Because rapid and systemic clinical detection of AMS is limited by the complexity of mental status, a number of assessments have been created, each with their own advantages, limitations, and target populations. These assessments are often limited by time‐intensive administration, subjectivity of mental status assessment, and lack of sensitivity in general medicine patients. Time‐intensive measures, such as the Short Portable Mental Status Questionnaire (SPMSQ) have utility in the research setting, whereas current common clinical risk stratification tools (eg, National Early Warning Score) utilize simpler measures such as the Alert, Voice, Pain, Unresponsive (AVPU) and Glasgow Coma Scale (GCS) as measures of mental status.[2, 5, 6, 7, 8, 9]

To address the need for a brief, clinically feasible, accurate tool in clinical detection of AMS, our group developed a mobile application for working memory testing, the Functional Assessment of Mentation (FAMTM). In this study, we aimed to identify baseline scoring distributions of the FAMTM in a nonhospitalized subgroup, as well as assess the correlation of the FAMTM to discharge disposition and compare it to the SPMSQ in inpatients.

METHODS

Study Design

We conducted a prospective observational study. Data were collected from both hospitalized and nonhospitalized adult participants as 2 distinct subgroups. Nonhospitalized adult subjects were recruited from a university medical campus (June 2013July 2013; IRB‐12‐0175). Hospitalized participants were recruited from the general medicine service as part of an ongoing study measuring quality of care and resource allocation at the same academic medical center (June 2014August 2014; IRB‐9967).[10]

FAMTM Application

The FAMTM application is a bedside tool for working memory assessment developed for the iPhone mobile operating system (Apple Inc., Cupertino, CA) and presented on an iPad mini (Apple). The application interface displays 4 colored rectangles individually labeled with a number (see Supporting Figure 1 in the online version of this article). The testing portion of the application presents a sequence of numbered rectangles, illuminated 1 at a time in random order. Subjects are prompted first to watch and remember the sequence and then repeat the sequence by touching the screen within each numbered rectangle. Successful reproduction of the sequence is followed by a distinct and longer sequence, whereas unsuccessful attempts are followed by a shorter sequence. The final FAMTM score corresponds to the longest sequence of rectangles successfully repeated by the subject.

Figure 1
FAMTM vs GCS by SPMSQ score. Box plot of FAMTM (light grey boxes) and GCS scores (dark grey boxes). Median, and 25th and 75th quartile results are demonstrated by vertical lines within in the box, and range is shown by the whiskers. One subject was excluded from analysis due to lack of a GCS score in the medical record. Abbreviations: FAMTM, Functional Assessment of Mentation; GCS, Glasgow Coma Scale; SPMSQ, Short Portable Mental Status Questionnaire.

Data Collection

In the nonhospitalized subject population, research assistants collected demographic data immediately prior to FAMTM administration. Among hospitalized subjects, GCS information was collected by nursing staff as part of standard clinical care. One research assistant administered the SPMSQ while a second assistant, blinded to the SPMSQ and GCS scores, administered the FAMTM. Clinical data were obtained from medical records (EPIC Systems Corp., Verona, WI). Discharge disposition was dichotomized as discharged home or not.

Statistical Analyses

Demographic characteristics of the 2 subject populations were compared using Student t tests (continuous variables) and 2 tests (categorical variables). Score distribution and discharge disposition comparison was conducted with the Mann‐Whitney U test and area under receiver operating characteristic curve (AUC) analysis, using the trapezoidal rule.[11] Multivariable linear regression was used to investigate the impact of age, race, education, discharge disposition, and hospitalization status on patient scores and times. Correlations between the FAMTM and SPMSQ scores and between the GCS and SPMSQ scores were calculated using the Spearman rank test. Significance was set at a 2‐sided P value of <0.05. Analyses were conducted using Stata version 13.1 (StataCorp, College Station, TX).

RESULTS

A total of 931 subjects were enrolled in the study. In the nonhospitalized subgroup, 651 consented to study participation and 612 were included in final analysis. Subjects were excluded if they started but did not complete the application (n = 36) or were under the age of 18 years (n = 3). Of the 363 hospitalized subjects approached for enrollment, 319 were included in the final analysis. Subjects were excluded if they refused to participate (n = 23), were under the age of 18 (n = 2), had technical failures (n = 5), or had physical or visual limitations that precluded them from participation (n = 14). Within the hospitalized subgroup, 268 subjects were discharged home (85%). The table displays demographics and score distributions by subgroup.1

Demographics and FAMTM Score Distribution by Hospitalization Category
Nonhospitalized Subjects, n = 612 Hospitalized Subjects Discharged Home, n = 268 Hospitalized Subjects Discharged Elsewhere, n = 48 P Value
  • NOTE: Abbreviations: FAMTM, Functional Assessment of Mentation; IQR, interquartile range. Three hospitalized subjects were excluded from analysis due to being discharged against medical advice. FAMTM score comparisons were significant for all stepwise comparisons using P < 0.05.

Age, y 52 18 52 19 62 17 <0.001
Female sex 343 (56%) 158 (59%) 26 (54%) 0.63
Education <0.001
Less than high school graduate 31 (5%) 32 (12%) 7 (15%)
High school graduate 312 (51%) 153 (57%) 26 (54%)
College graduate 263 (43%) 43 (16%) 8 (17%)
Missing 6 (1%) 40 (15%) 7 (15%)
Race <0.001
Black 196 (32%) 185 (69%) 34 (71%)
White 324 (53%) 75 (28%) 13 (27%)
Other 86 (14%) 4 (1%) 4 (1%)
Missing 6 (1%) 4 (1%) 0 (0%)
FAMTM score, median (IQR) 5 (47) 5 (36) 3 (15) <0.001

The median FAMTM score for the combined study population was 5 (interquartile range [IQR] 36), and median time to completion was 55 seconds (IQR 4567 seconds). A graded reduction was found in the FAMTM score for all stepwise comparisons between nonhospitalized subjects, hospitalized subjects discharged home, and hospitalized subjects not discharged home (median 5 [IQR 47] vs 5 [IQR 36] vs 3 [IQR 15]; P < 0.001 for all pairwise comparisons). The AUC for the FAMTM predicting discharge disposition (home vs not) was 0.66 (95% confidence interval [CI]: 0.58‐0.74]. After adjusting for confounders, higher FAMTM scores were independently associated with not being hospitalized, being discharged home, higher levels of education, younger age, and white race (see Supporting Table 1 in the online version of this article). Additionally, in the hospitalized subgroup, decreasing FAMTM score was significantly correlated with increasing errors on the SPMSQ (Spearman = 0.27, P < 0.001), whereas the GCS score was not correlated with the SPMSQ (Spearman = 0.05, P = 0.40) (Figure 1).

DISCUSSION

We demonstrated the utility of a rapid and accurate mobile application for assessment of mental status. The FAMTM was able to be quickly administered with a median time to completion of approximately 1 minute. The ability to detect mild alterations in mental status was shown through concurrent validity by FAMTM correlation with the SPMSQ and predictive validity with the association between the FAMTM and discharge disposition. Our study highlights the potential for the FAMTM to be used as a sensitive marker of AMS.

The novel design of the FAMTM presents unique advantages compared to current mental status testing. First, the FAMTM could allow patients with hearing impairment or language barriers to complete a mental status assessment. Additionally, the approximately 1‐minute median time to completion is much faster than other established mental status assessments including the SPMSQ (510 minutes). Compared to the SPMSQ taking 5 minutes, in a 400‐bed hospital, taken once per nursing shift, the FAMTM would save approximately 20,000 hours and 10 nursing full‐time equivalents per year.[5] Finally, many current mental status tests such as the Confusion Assessment Model utilize subjective mental status assessments.[2] However, the FAMTM is designed to be conducted through self‐assessment and, thus, could theoretically be free of observer bias. This potential for self‐administration expands beyond other proposed alternative testing mechanisms of the AMS such as ultrabrief assessments that include items such as asking subjects the months of the year backwards, and what is the day of the week?, and assessing arousal.[12, 13, 14]

In research settings and commonly in hospitals, the GCS and AVPU are used clinically for mental status assessment of hospitalized patients.[6, 15] However, similar to previous literature, our study found that the vast majority of hospitalized patients were defined as neurologically intact by the GCS, which is the more accurate predictor of the 2.[7] One major strength of the FAMTM was that it identified an extensive gradation of scores for patients previously labeled as merely alert, providing greater resolution than the GCS in quantifying mental status.

One of the key benefits of the FAMTM is that it can be measured longitudinally over the course of a patient's hospital stay. Therefore, once a baseline FAMTM score is established, variation from the patient's personal baseline could indicate mental status deterioration, which would not be affected by the patient's demographics, health status, or underlying neurocognitive deficits.

There were important limitations to this study. First, limited generalizability of these data may exist due to the single‐center setting and patient population. However, this initial study provides pilot data for further expansion into the potential broad applicability of the FAMTM to other patient populations and settings. Additionally, the cost of large‐scale implementation of the FAMTM is unknown and was beyond the scope of this pilot study. However, to reduce costs, the FAMTM technology could be integrated into existing hospital technology infrastructure. Finally, the scope of this study prevented a complete assessment of all validity measures or comparison to other mental status assessments such as the digit span or serial sevens tests. However, predictive and concurrent validity were assessed with comparison by discharge disposition, SPMSQ, and GCS scores.

In conclusion, this pilot study identifies the FAMTM application as a potentially clinically useful, novel, rapid, and feasible assessment tool of mental status in a general medicine inpatient setting.

Acknowledgements

The authors thank Frank Zadravecz, MPH, for his support with this project.

Disclosures: This research was supported in part by a grant from the National Institutes of Health (NIA 2T35AG029795‐07) and in part by career development awards granted to Dr. Churpek, Dr. Edelson, and Dr. Press by the National Heart, Lung, and Blood Institute (K08 HL121080, K23 HL097157, and K23 HL118151, respectively). Dr. Churpek has received honoraria from Chest for invited speaking engagements. Drs. Churpek and Edelson have a patent pending (ARCD. P0535US.P2) for risk stratification algorithms for hospitalized patients. In addition, Dr. Edelson has received research support from Philips Healthcare (Andover, MA), the American Heart Association (Dallas, TX), and Laerdal Medical (Stavanger, Norway). She has ownership interest in Quant HC (Chicago, IL), which is developing products for risk stratification of hospitalized patients. All other authors report no potential conflicts of interest.

Files
References
  1. Han JH, Wilber ST. Altered mental status in older patients in the emergency department. Clin Geriatr Med. 2013;29(1):101136.
  2. Inouye SK, Dyck CH, Alessi CA, Balkin S, Siegal AP, Horwitz RI. Clarifying confusion: the confusion assessment method. A new method for detection of delirium. Ann Intern Med. 1990;113(12):941948.
  3. Buist M, Bernard S, Nguyen TV, Moore G, Anderson J. Association between clinically abnormal observations and subsequent in‐hospital mortality: a prospective study. Resuscitation. 2004;62(2):137141.
  4. Schuurmans MJ, Duursma SA, Shortridge‐Baggett LM. Early recognition of delirium: review of the literature. J Clin Nurs. 2001;10(6):721729.
  5. Pfeiffer E. A short portable mental status questionnaire for the assessment of organic brain deficit in elderly patients. J Am Geriatr Soc. 1975;23(10):433441.
  6. Smith GB, Prytherch DR, Meredith P, Schmidt PE, Featherstone PI. The ability of the National Early Warning Score (NEWS) to discriminate patients at risk of early cardiac arrest, unanticipated intensive care unit admission, and death. Resuscitation. 2013;84(4):465470.
  7. Zadravecz FJ, Tien L, Robertson‐Dick BJ, et al. Comparison of mental‐status scales for predicting mortality on the general wards. J Hosp Med. 2015;10(10):658663.
  8. Teasdale G, Jennett B. Assessment of coma and impaired consciousness: a practical scale. Lancet. 1974;304(7872):8184.
  9. Erkinjuntti T, Sulkava R, Wikström J, Autio L. Short Portable Mental Status Questionnaire as a Screening Test for Dementia and Delirium Among the Elderly. J Am Geriatr Soc. 1987;35(5):412416.
  10. Meltzer D, Manning W, Morrison J, et al. Effects of physician experience on costs and outcomes on an academic general medicine service: results of a trial of hospitalists. Ann Intern Med. 2002;137(11):866874.
  11. DeLong ER, DeLong DM, Clarke‐Pearson DL. Comparing the areas under two or more correlated receiver operating characteristic curves: a nonparametric approach. Biometrics. 1988;44(3):837845.
  12. Fick DM, Inouye SK, Guess J, et al. Preliminary development of an ultrabrief two‐item bedside test for delirium. J Hosp Med. 2015;10(10):645650.
  13. Yevchak AM, Doherty K, Archambault EG, Kelly B, Fonda JR, Rudolph JL. The association between an ultrabrief cognitive screening in older adults and hospital outcomes. J Hosp Med. 2015;10(10):651657.
  14. Yang FM, Jones RN, Inouye SK, et al. Selecting optimal screening items for delirium: an application of item response theory. BMC Med Res Methodol. 2013;13:8.
  15. Holdgate A, Ching N, Angonese L. Variability in agreement between physicians and nurses when measuring the Glasgow Coma Scale in the emergency department limits its clinical usefulness. Emerg Med Australas. 2006;18(4):379384.
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Altered mental status (AMS) is a complex spectrum of cognitive deficits that includes orientation, memory, language, visuospatial ability, and perception.[1] The clinical definitions of both delirium and dementia include AMS as a hallmark clinical prerequisite. Regardless of etiology, this broader AMS definition is particularly salient in the hospital setting, where AMS is present in up to 60% of inpatients and is associated with longer hospital stay as well as increased morbidity and mortality.[2, 3] Not surprisingly, due to the complexity of identifying and assessing changes in mental status, clinically relevant AMS is often undetected among inpatients.[2] However, when detected, the most common causes of AMS (infection, polypharmacy, and pain) are treatable, suggesting that early AMS identification could alert clinicians to early signs of clinical decompensation, potentially improving clinical outcomes.[4]

Because rapid and systemic clinical detection of AMS is limited by the complexity of mental status, a number of assessments have been created, each with their own advantages, limitations, and target populations. These assessments are often limited by time‐intensive administration, subjectivity of mental status assessment, and lack of sensitivity in general medicine patients. Time‐intensive measures, such as the Short Portable Mental Status Questionnaire (SPMSQ) have utility in the research setting, whereas current common clinical risk stratification tools (eg, National Early Warning Score) utilize simpler measures such as the Alert, Voice, Pain, Unresponsive (AVPU) and Glasgow Coma Scale (GCS) as measures of mental status.[2, 5, 6, 7, 8, 9]

To address the need for a brief, clinically feasible, accurate tool in clinical detection of AMS, our group developed a mobile application for working memory testing, the Functional Assessment of Mentation (FAMTM). In this study, we aimed to identify baseline scoring distributions of the FAMTM in a nonhospitalized subgroup, as well as assess the correlation of the FAMTM to discharge disposition and compare it to the SPMSQ in inpatients.

METHODS

Study Design

We conducted a prospective observational study. Data were collected from both hospitalized and nonhospitalized adult participants as 2 distinct subgroups. Nonhospitalized adult subjects were recruited from a university medical campus (June 2013July 2013; IRB‐12‐0175). Hospitalized participants were recruited from the general medicine service as part of an ongoing study measuring quality of care and resource allocation at the same academic medical center (June 2014August 2014; IRB‐9967).[10]

FAMTM Application

The FAMTM application is a bedside tool for working memory assessment developed for the iPhone mobile operating system (Apple Inc., Cupertino, CA) and presented on an iPad mini (Apple). The application interface displays 4 colored rectangles individually labeled with a number (see Supporting Figure 1 in the online version of this article). The testing portion of the application presents a sequence of numbered rectangles, illuminated 1 at a time in random order. Subjects are prompted first to watch and remember the sequence and then repeat the sequence by touching the screen within each numbered rectangle. Successful reproduction of the sequence is followed by a distinct and longer sequence, whereas unsuccessful attempts are followed by a shorter sequence. The final FAMTM score corresponds to the longest sequence of rectangles successfully repeated by the subject.

Figure 1
FAMTM vs GCS by SPMSQ score. Box plot of FAMTM (light grey boxes) and GCS scores (dark grey boxes). Median, and 25th and 75th quartile results are demonstrated by vertical lines within in the box, and range is shown by the whiskers. One subject was excluded from analysis due to lack of a GCS score in the medical record. Abbreviations: FAMTM, Functional Assessment of Mentation; GCS, Glasgow Coma Scale; SPMSQ, Short Portable Mental Status Questionnaire.

Data Collection

In the nonhospitalized subject population, research assistants collected demographic data immediately prior to FAMTM administration. Among hospitalized subjects, GCS information was collected by nursing staff as part of standard clinical care. One research assistant administered the SPMSQ while a second assistant, blinded to the SPMSQ and GCS scores, administered the FAMTM. Clinical data were obtained from medical records (EPIC Systems Corp., Verona, WI). Discharge disposition was dichotomized as discharged home or not.

Statistical Analyses

Demographic characteristics of the 2 subject populations were compared using Student t tests (continuous variables) and 2 tests (categorical variables). Score distribution and discharge disposition comparison was conducted with the Mann‐Whitney U test and area under receiver operating characteristic curve (AUC) analysis, using the trapezoidal rule.[11] Multivariable linear regression was used to investigate the impact of age, race, education, discharge disposition, and hospitalization status on patient scores and times. Correlations between the FAMTM and SPMSQ scores and between the GCS and SPMSQ scores were calculated using the Spearman rank test. Significance was set at a 2‐sided P value of <0.05. Analyses were conducted using Stata version 13.1 (StataCorp, College Station, TX).

RESULTS

A total of 931 subjects were enrolled in the study. In the nonhospitalized subgroup, 651 consented to study participation and 612 were included in final analysis. Subjects were excluded if they started but did not complete the application (n = 36) or were under the age of 18 years (n = 3). Of the 363 hospitalized subjects approached for enrollment, 319 were included in the final analysis. Subjects were excluded if they refused to participate (n = 23), were under the age of 18 (n = 2), had technical failures (n = 5), or had physical or visual limitations that precluded them from participation (n = 14). Within the hospitalized subgroup, 268 subjects were discharged home (85%). The table displays demographics and score distributions by subgroup.1

Demographics and FAMTM Score Distribution by Hospitalization Category
Nonhospitalized Subjects, n = 612 Hospitalized Subjects Discharged Home, n = 268 Hospitalized Subjects Discharged Elsewhere, n = 48 P Value
  • NOTE: Abbreviations: FAMTM, Functional Assessment of Mentation; IQR, interquartile range. Three hospitalized subjects were excluded from analysis due to being discharged against medical advice. FAMTM score comparisons were significant for all stepwise comparisons using P < 0.05.

Age, y 52 18 52 19 62 17 <0.001
Female sex 343 (56%) 158 (59%) 26 (54%) 0.63
Education <0.001
Less than high school graduate 31 (5%) 32 (12%) 7 (15%)
High school graduate 312 (51%) 153 (57%) 26 (54%)
College graduate 263 (43%) 43 (16%) 8 (17%)
Missing 6 (1%) 40 (15%) 7 (15%)
Race <0.001
Black 196 (32%) 185 (69%) 34 (71%)
White 324 (53%) 75 (28%) 13 (27%)
Other 86 (14%) 4 (1%) 4 (1%)
Missing 6 (1%) 4 (1%) 0 (0%)
FAMTM score, median (IQR) 5 (47) 5 (36) 3 (15) <0.001

The median FAMTM score for the combined study population was 5 (interquartile range [IQR] 36), and median time to completion was 55 seconds (IQR 4567 seconds). A graded reduction was found in the FAMTM score for all stepwise comparisons between nonhospitalized subjects, hospitalized subjects discharged home, and hospitalized subjects not discharged home (median 5 [IQR 47] vs 5 [IQR 36] vs 3 [IQR 15]; P < 0.001 for all pairwise comparisons). The AUC for the FAMTM predicting discharge disposition (home vs not) was 0.66 (95% confidence interval [CI]: 0.58‐0.74]. After adjusting for confounders, higher FAMTM scores were independently associated with not being hospitalized, being discharged home, higher levels of education, younger age, and white race (see Supporting Table 1 in the online version of this article). Additionally, in the hospitalized subgroup, decreasing FAMTM score was significantly correlated with increasing errors on the SPMSQ (Spearman = 0.27, P < 0.001), whereas the GCS score was not correlated with the SPMSQ (Spearman = 0.05, P = 0.40) (Figure 1).

DISCUSSION

We demonstrated the utility of a rapid and accurate mobile application for assessment of mental status. The FAMTM was able to be quickly administered with a median time to completion of approximately 1 minute. The ability to detect mild alterations in mental status was shown through concurrent validity by FAMTM correlation with the SPMSQ and predictive validity with the association between the FAMTM and discharge disposition. Our study highlights the potential for the FAMTM to be used as a sensitive marker of AMS.

The novel design of the FAMTM presents unique advantages compared to current mental status testing. First, the FAMTM could allow patients with hearing impairment or language barriers to complete a mental status assessment. Additionally, the approximately 1‐minute median time to completion is much faster than other established mental status assessments including the SPMSQ (510 minutes). Compared to the SPMSQ taking 5 minutes, in a 400‐bed hospital, taken once per nursing shift, the FAMTM would save approximately 20,000 hours and 10 nursing full‐time equivalents per year.[5] Finally, many current mental status tests such as the Confusion Assessment Model utilize subjective mental status assessments.[2] However, the FAMTM is designed to be conducted through self‐assessment and, thus, could theoretically be free of observer bias. This potential for self‐administration expands beyond other proposed alternative testing mechanisms of the AMS such as ultrabrief assessments that include items such as asking subjects the months of the year backwards, and what is the day of the week?, and assessing arousal.[12, 13, 14]

In research settings and commonly in hospitals, the GCS and AVPU are used clinically for mental status assessment of hospitalized patients.[6, 15] However, similar to previous literature, our study found that the vast majority of hospitalized patients were defined as neurologically intact by the GCS, which is the more accurate predictor of the 2.[7] One major strength of the FAMTM was that it identified an extensive gradation of scores for patients previously labeled as merely alert, providing greater resolution than the GCS in quantifying mental status.

One of the key benefits of the FAMTM is that it can be measured longitudinally over the course of a patient's hospital stay. Therefore, once a baseline FAMTM score is established, variation from the patient's personal baseline could indicate mental status deterioration, which would not be affected by the patient's demographics, health status, or underlying neurocognitive deficits.

There were important limitations to this study. First, limited generalizability of these data may exist due to the single‐center setting and patient population. However, this initial study provides pilot data for further expansion into the potential broad applicability of the FAMTM to other patient populations and settings. Additionally, the cost of large‐scale implementation of the FAMTM is unknown and was beyond the scope of this pilot study. However, to reduce costs, the FAMTM technology could be integrated into existing hospital technology infrastructure. Finally, the scope of this study prevented a complete assessment of all validity measures or comparison to other mental status assessments such as the digit span or serial sevens tests. However, predictive and concurrent validity were assessed with comparison by discharge disposition, SPMSQ, and GCS scores.

In conclusion, this pilot study identifies the FAMTM application as a potentially clinically useful, novel, rapid, and feasible assessment tool of mental status in a general medicine inpatient setting.

Acknowledgements

The authors thank Frank Zadravecz, MPH, for his support with this project.

Disclosures: This research was supported in part by a grant from the National Institutes of Health (NIA 2T35AG029795‐07) and in part by career development awards granted to Dr. Churpek, Dr. Edelson, and Dr. Press by the National Heart, Lung, and Blood Institute (K08 HL121080, K23 HL097157, and K23 HL118151, respectively). Dr. Churpek has received honoraria from Chest for invited speaking engagements. Drs. Churpek and Edelson have a patent pending (ARCD. P0535US.P2) for risk stratification algorithms for hospitalized patients. In addition, Dr. Edelson has received research support from Philips Healthcare (Andover, MA), the American Heart Association (Dallas, TX), and Laerdal Medical (Stavanger, Norway). She has ownership interest in Quant HC (Chicago, IL), which is developing products for risk stratification of hospitalized patients. All other authors report no potential conflicts of interest.

Altered mental status (AMS) is a complex spectrum of cognitive deficits that includes orientation, memory, language, visuospatial ability, and perception.[1] The clinical definitions of both delirium and dementia include AMS as a hallmark clinical prerequisite. Regardless of etiology, this broader AMS definition is particularly salient in the hospital setting, where AMS is present in up to 60% of inpatients and is associated with longer hospital stay as well as increased morbidity and mortality.[2, 3] Not surprisingly, due to the complexity of identifying and assessing changes in mental status, clinically relevant AMS is often undetected among inpatients.[2] However, when detected, the most common causes of AMS (infection, polypharmacy, and pain) are treatable, suggesting that early AMS identification could alert clinicians to early signs of clinical decompensation, potentially improving clinical outcomes.[4]

Because rapid and systemic clinical detection of AMS is limited by the complexity of mental status, a number of assessments have been created, each with their own advantages, limitations, and target populations. These assessments are often limited by time‐intensive administration, subjectivity of mental status assessment, and lack of sensitivity in general medicine patients. Time‐intensive measures, such as the Short Portable Mental Status Questionnaire (SPMSQ) have utility in the research setting, whereas current common clinical risk stratification tools (eg, National Early Warning Score) utilize simpler measures such as the Alert, Voice, Pain, Unresponsive (AVPU) and Glasgow Coma Scale (GCS) as measures of mental status.[2, 5, 6, 7, 8, 9]

To address the need for a brief, clinically feasible, accurate tool in clinical detection of AMS, our group developed a mobile application for working memory testing, the Functional Assessment of Mentation (FAMTM). In this study, we aimed to identify baseline scoring distributions of the FAMTM in a nonhospitalized subgroup, as well as assess the correlation of the FAMTM to discharge disposition and compare it to the SPMSQ in inpatients.

METHODS

Study Design

We conducted a prospective observational study. Data were collected from both hospitalized and nonhospitalized adult participants as 2 distinct subgroups. Nonhospitalized adult subjects were recruited from a university medical campus (June 2013July 2013; IRB‐12‐0175). Hospitalized participants were recruited from the general medicine service as part of an ongoing study measuring quality of care and resource allocation at the same academic medical center (June 2014August 2014; IRB‐9967).[10]

FAMTM Application

The FAMTM application is a bedside tool for working memory assessment developed for the iPhone mobile operating system (Apple Inc., Cupertino, CA) and presented on an iPad mini (Apple). The application interface displays 4 colored rectangles individually labeled with a number (see Supporting Figure 1 in the online version of this article). The testing portion of the application presents a sequence of numbered rectangles, illuminated 1 at a time in random order. Subjects are prompted first to watch and remember the sequence and then repeat the sequence by touching the screen within each numbered rectangle. Successful reproduction of the sequence is followed by a distinct and longer sequence, whereas unsuccessful attempts are followed by a shorter sequence. The final FAMTM score corresponds to the longest sequence of rectangles successfully repeated by the subject.

Figure 1
FAMTM vs GCS by SPMSQ score. Box plot of FAMTM (light grey boxes) and GCS scores (dark grey boxes). Median, and 25th and 75th quartile results are demonstrated by vertical lines within in the box, and range is shown by the whiskers. One subject was excluded from analysis due to lack of a GCS score in the medical record. Abbreviations: FAMTM, Functional Assessment of Mentation; GCS, Glasgow Coma Scale; SPMSQ, Short Portable Mental Status Questionnaire.

Data Collection

In the nonhospitalized subject population, research assistants collected demographic data immediately prior to FAMTM administration. Among hospitalized subjects, GCS information was collected by nursing staff as part of standard clinical care. One research assistant administered the SPMSQ while a second assistant, blinded to the SPMSQ and GCS scores, administered the FAMTM. Clinical data were obtained from medical records (EPIC Systems Corp., Verona, WI). Discharge disposition was dichotomized as discharged home or not.

Statistical Analyses

Demographic characteristics of the 2 subject populations were compared using Student t tests (continuous variables) and 2 tests (categorical variables). Score distribution and discharge disposition comparison was conducted with the Mann‐Whitney U test and area under receiver operating characteristic curve (AUC) analysis, using the trapezoidal rule.[11] Multivariable linear regression was used to investigate the impact of age, race, education, discharge disposition, and hospitalization status on patient scores and times. Correlations between the FAMTM and SPMSQ scores and between the GCS and SPMSQ scores were calculated using the Spearman rank test. Significance was set at a 2‐sided P value of <0.05. Analyses were conducted using Stata version 13.1 (StataCorp, College Station, TX).

RESULTS

A total of 931 subjects were enrolled in the study. In the nonhospitalized subgroup, 651 consented to study participation and 612 were included in final analysis. Subjects were excluded if they started but did not complete the application (n = 36) or were under the age of 18 years (n = 3). Of the 363 hospitalized subjects approached for enrollment, 319 were included in the final analysis. Subjects were excluded if they refused to participate (n = 23), were under the age of 18 (n = 2), had technical failures (n = 5), or had physical or visual limitations that precluded them from participation (n = 14). Within the hospitalized subgroup, 268 subjects were discharged home (85%). The table displays demographics and score distributions by subgroup.1

Demographics and FAMTM Score Distribution by Hospitalization Category
Nonhospitalized Subjects, n = 612 Hospitalized Subjects Discharged Home, n = 268 Hospitalized Subjects Discharged Elsewhere, n = 48 P Value
  • NOTE: Abbreviations: FAMTM, Functional Assessment of Mentation; IQR, interquartile range. Three hospitalized subjects were excluded from analysis due to being discharged against medical advice. FAMTM score comparisons were significant for all stepwise comparisons using P < 0.05.

Age, y 52 18 52 19 62 17 <0.001
Female sex 343 (56%) 158 (59%) 26 (54%) 0.63
Education <0.001
Less than high school graduate 31 (5%) 32 (12%) 7 (15%)
High school graduate 312 (51%) 153 (57%) 26 (54%)
College graduate 263 (43%) 43 (16%) 8 (17%)
Missing 6 (1%) 40 (15%) 7 (15%)
Race <0.001
Black 196 (32%) 185 (69%) 34 (71%)
White 324 (53%) 75 (28%) 13 (27%)
Other 86 (14%) 4 (1%) 4 (1%)
Missing 6 (1%) 4 (1%) 0 (0%)
FAMTM score, median (IQR) 5 (47) 5 (36) 3 (15) <0.001

The median FAMTM score for the combined study population was 5 (interquartile range [IQR] 36), and median time to completion was 55 seconds (IQR 4567 seconds). A graded reduction was found in the FAMTM score for all stepwise comparisons between nonhospitalized subjects, hospitalized subjects discharged home, and hospitalized subjects not discharged home (median 5 [IQR 47] vs 5 [IQR 36] vs 3 [IQR 15]; P < 0.001 for all pairwise comparisons). The AUC for the FAMTM predicting discharge disposition (home vs not) was 0.66 (95% confidence interval [CI]: 0.58‐0.74]. After adjusting for confounders, higher FAMTM scores were independently associated with not being hospitalized, being discharged home, higher levels of education, younger age, and white race (see Supporting Table 1 in the online version of this article). Additionally, in the hospitalized subgroup, decreasing FAMTM score was significantly correlated with increasing errors on the SPMSQ (Spearman = 0.27, P < 0.001), whereas the GCS score was not correlated with the SPMSQ (Spearman = 0.05, P = 0.40) (Figure 1).

DISCUSSION

We demonstrated the utility of a rapid and accurate mobile application for assessment of mental status. The FAMTM was able to be quickly administered with a median time to completion of approximately 1 minute. The ability to detect mild alterations in mental status was shown through concurrent validity by FAMTM correlation with the SPMSQ and predictive validity with the association between the FAMTM and discharge disposition. Our study highlights the potential for the FAMTM to be used as a sensitive marker of AMS.

The novel design of the FAMTM presents unique advantages compared to current mental status testing. First, the FAMTM could allow patients with hearing impairment or language barriers to complete a mental status assessment. Additionally, the approximately 1‐minute median time to completion is much faster than other established mental status assessments including the SPMSQ (510 minutes). Compared to the SPMSQ taking 5 minutes, in a 400‐bed hospital, taken once per nursing shift, the FAMTM would save approximately 20,000 hours and 10 nursing full‐time equivalents per year.[5] Finally, many current mental status tests such as the Confusion Assessment Model utilize subjective mental status assessments.[2] However, the FAMTM is designed to be conducted through self‐assessment and, thus, could theoretically be free of observer bias. This potential for self‐administration expands beyond other proposed alternative testing mechanisms of the AMS such as ultrabrief assessments that include items such as asking subjects the months of the year backwards, and what is the day of the week?, and assessing arousal.[12, 13, 14]

In research settings and commonly in hospitals, the GCS and AVPU are used clinically for mental status assessment of hospitalized patients.[6, 15] However, similar to previous literature, our study found that the vast majority of hospitalized patients were defined as neurologically intact by the GCS, which is the more accurate predictor of the 2.[7] One major strength of the FAMTM was that it identified an extensive gradation of scores for patients previously labeled as merely alert, providing greater resolution than the GCS in quantifying mental status.

One of the key benefits of the FAMTM is that it can be measured longitudinally over the course of a patient's hospital stay. Therefore, once a baseline FAMTM score is established, variation from the patient's personal baseline could indicate mental status deterioration, which would not be affected by the patient's demographics, health status, or underlying neurocognitive deficits.

There were important limitations to this study. First, limited generalizability of these data may exist due to the single‐center setting and patient population. However, this initial study provides pilot data for further expansion into the potential broad applicability of the FAMTM to other patient populations and settings. Additionally, the cost of large‐scale implementation of the FAMTM is unknown and was beyond the scope of this pilot study. However, to reduce costs, the FAMTM technology could be integrated into existing hospital technology infrastructure. Finally, the scope of this study prevented a complete assessment of all validity measures or comparison to other mental status assessments such as the digit span or serial sevens tests. However, predictive and concurrent validity were assessed with comparison by discharge disposition, SPMSQ, and GCS scores.

In conclusion, this pilot study identifies the FAMTM application as a potentially clinically useful, novel, rapid, and feasible assessment tool of mental status in a general medicine inpatient setting.

Acknowledgements

The authors thank Frank Zadravecz, MPH, for his support with this project.

Disclosures: This research was supported in part by a grant from the National Institutes of Health (NIA 2T35AG029795‐07) and in part by career development awards granted to Dr. Churpek, Dr. Edelson, and Dr. Press by the National Heart, Lung, and Blood Institute (K08 HL121080, K23 HL097157, and K23 HL118151, respectively). Dr. Churpek has received honoraria from Chest for invited speaking engagements. Drs. Churpek and Edelson have a patent pending (ARCD. P0535US.P2) for risk stratification algorithms for hospitalized patients. In addition, Dr. Edelson has received research support from Philips Healthcare (Andover, MA), the American Heart Association (Dallas, TX), and Laerdal Medical (Stavanger, Norway). She has ownership interest in Quant HC (Chicago, IL), which is developing products for risk stratification of hospitalized patients. All other authors report no potential conflicts of interest.

References
  1. Han JH, Wilber ST. Altered mental status in older patients in the emergency department. Clin Geriatr Med. 2013;29(1):101136.
  2. Inouye SK, Dyck CH, Alessi CA, Balkin S, Siegal AP, Horwitz RI. Clarifying confusion: the confusion assessment method. A new method for detection of delirium. Ann Intern Med. 1990;113(12):941948.
  3. Buist M, Bernard S, Nguyen TV, Moore G, Anderson J. Association between clinically abnormal observations and subsequent in‐hospital mortality: a prospective study. Resuscitation. 2004;62(2):137141.
  4. Schuurmans MJ, Duursma SA, Shortridge‐Baggett LM. Early recognition of delirium: review of the literature. J Clin Nurs. 2001;10(6):721729.
  5. Pfeiffer E. A short portable mental status questionnaire for the assessment of organic brain deficit in elderly patients. J Am Geriatr Soc. 1975;23(10):433441.
  6. Smith GB, Prytherch DR, Meredith P, Schmidt PE, Featherstone PI. The ability of the National Early Warning Score (NEWS) to discriminate patients at risk of early cardiac arrest, unanticipated intensive care unit admission, and death. Resuscitation. 2013;84(4):465470.
  7. Zadravecz FJ, Tien L, Robertson‐Dick BJ, et al. Comparison of mental‐status scales for predicting mortality on the general wards. J Hosp Med. 2015;10(10):658663.
  8. Teasdale G, Jennett B. Assessment of coma and impaired consciousness: a practical scale. Lancet. 1974;304(7872):8184.
  9. Erkinjuntti T, Sulkava R, Wikström J, Autio L. Short Portable Mental Status Questionnaire as a Screening Test for Dementia and Delirium Among the Elderly. J Am Geriatr Soc. 1987;35(5):412416.
  10. Meltzer D, Manning W, Morrison J, et al. Effects of physician experience on costs and outcomes on an academic general medicine service: results of a trial of hospitalists. Ann Intern Med. 2002;137(11):866874.
  11. DeLong ER, DeLong DM, Clarke‐Pearson DL. Comparing the areas under two or more correlated receiver operating characteristic curves: a nonparametric approach. Biometrics. 1988;44(3):837845.
  12. Fick DM, Inouye SK, Guess J, et al. Preliminary development of an ultrabrief two‐item bedside test for delirium. J Hosp Med. 2015;10(10):645650.
  13. Yevchak AM, Doherty K, Archambault EG, Kelly B, Fonda JR, Rudolph JL. The association between an ultrabrief cognitive screening in older adults and hospital outcomes. J Hosp Med. 2015;10(10):651657.
  14. Yang FM, Jones RN, Inouye SK, et al. Selecting optimal screening items for delirium: an application of item response theory. BMC Med Res Methodol. 2013;13:8.
  15. Holdgate A, Ching N, Angonese L. Variability in agreement between physicians and nurses when measuring the Glasgow Coma Scale in the emergency department limits its clinical usefulness. Emerg Med Australas. 2006;18(4):379384.
References
  1. Han JH, Wilber ST. Altered mental status in older patients in the emergency department. Clin Geriatr Med. 2013;29(1):101136.
  2. Inouye SK, Dyck CH, Alessi CA, Balkin S, Siegal AP, Horwitz RI. Clarifying confusion: the confusion assessment method. A new method for detection of delirium. Ann Intern Med. 1990;113(12):941948.
  3. Buist M, Bernard S, Nguyen TV, Moore G, Anderson J. Association between clinically abnormal observations and subsequent in‐hospital mortality: a prospective study. Resuscitation. 2004;62(2):137141.
  4. Schuurmans MJ, Duursma SA, Shortridge‐Baggett LM. Early recognition of delirium: review of the literature. J Clin Nurs. 2001;10(6):721729.
  5. Pfeiffer E. A short portable mental status questionnaire for the assessment of organic brain deficit in elderly patients. J Am Geriatr Soc. 1975;23(10):433441.
  6. Smith GB, Prytherch DR, Meredith P, Schmidt PE, Featherstone PI. The ability of the National Early Warning Score (NEWS) to discriminate patients at risk of early cardiac arrest, unanticipated intensive care unit admission, and death. Resuscitation. 2013;84(4):465470.
  7. Zadravecz FJ, Tien L, Robertson‐Dick BJ, et al. Comparison of mental‐status scales for predicting mortality on the general wards. J Hosp Med. 2015;10(10):658663.
  8. Teasdale G, Jennett B. Assessment of coma and impaired consciousness: a practical scale. Lancet. 1974;304(7872):8184.
  9. Erkinjuntti T, Sulkava R, Wikström J, Autio L. Short Portable Mental Status Questionnaire as a Screening Test for Dementia and Delirium Among the Elderly. J Am Geriatr Soc. 1987;35(5):412416.
  10. Meltzer D, Manning W, Morrison J, et al. Effects of physician experience on costs and outcomes on an academic general medicine service: results of a trial of hospitalists. Ann Intern Med. 2002;137(11):866874.
  11. DeLong ER, DeLong DM, Clarke‐Pearson DL. Comparing the areas under two or more correlated receiver operating characteristic curves: a nonparametric approach. Biometrics. 1988;44(3):837845.
  12. Fick DM, Inouye SK, Guess J, et al. Preliminary development of an ultrabrief two‐item bedside test for delirium. J Hosp Med. 2015;10(10):645650.
  13. Yevchak AM, Doherty K, Archambault EG, Kelly B, Fonda JR, Rudolph JL. The association between an ultrabrief cognitive screening in older adults and hospital outcomes. J Hosp Med. 2015;10(10):651657.
  14. Yang FM, Jones RN, Inouye SK, et al. Selecting optimal screening items for delirium: an application of item response theory. BMC Med Res Methodol. 2013;13:8.
  15. Holdgate A, Ching N, Angonese L. Variability in agreement between physicians and nurses when measuring the Glasgow Coma Scale in the emergency department limits its clinical usefulness. Emerg Med Australas. 2006;18(4):379384.
Issue
Journal of Hospital Medicine - 11(7)
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Journal of Hospital Medicine - 11(7)
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Testing the functional assessment of mentation: A mobile application based assessment of mental status
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Address for correspondence and reprint requests: Dana P. Edelson, MD, University of Chicago Medicine, Section of Hospital Medicine, 5841 S. Maryland Avenue, MC 5000, Chicago, IL 60637; Telephone: 773‐834‐2191; Fax: 773‐795‐7398; E‐mail: [email protected]
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SDEF: Severe acne responds to fixed-combo gel

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SDEF: Severe acne responds to fixed-combo gel

A convenient, once-daily fixed combination of 0.3% adapalene plus 2.5% benzoyl peroxide gel significantly improved lesion counts over the course of 12 weeks in patients aged 12 years and older with moderate or severe acne.

Investigators enrolled just over 500 patients from 31 sites in the United States and Canada. About half of patients were rated as having severe acne and half as having moderate acne on the investigator’s global assessment (IGA) scale, Dr. Linda F. Stein Gold said at the Hawaii Dermatology Seminar provided by Global Academy for Medical Education/Skin Disease Education Foundation.

Dr. Linda F. Stein Gold

Patients were randomized to three treatment groups: adapalene 0.3%/benzoyl peroxide 2.5% gel (A-BPO-0.3%), adapalene 0.1%/benzoyl peroxide 2.5% (A-BPO-0.1%), or vehicle. Patients in each group had approximately the same total lesion count, and about half in each group had truncal acne lesions, said Dr. Stein Gold, director of clinical research in the department of dermatology at Henry Ford Hospital, Detroit.

Patients were instructed to use their study medications once daily at night after washing with a provided cleanser. They were provided with a standardized moisturizer and cleaners.

Treatment with A-BPO-0.3% was judged as successful (IGA of 1 or almost clear) at 12 weeks in 31% of patients with severe acne. By contrast, 13.3% of patients with severe acne were judged as almost clear. In patients with severe acne, A-BPO-1% was not statistically superior to vehicle (J Drugs Dermatol. 2015 Dec 1;14[12]:1427-35).

“Topical treatment is still the cornerstone of acne therapy, and it is great to have additional options, especially for our more severe acne patients,” Dr. Stein Gold said.

Patients noted dryness, scaling, erythema, and stinging/burning with A-BPO-0.3%, especially between weeks 1 and 2.

Dr. Stein Gold disclosed that she serves as a consultant and scientific advisory board member to Galderma, which markets A-BPO-0.3% as Epiduo Forte.

SDEF and this news organization are owned by the same parent company.

[email protected]

On Twitter @denisefulton

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A convenient, once-daily fixed combination of 0.3% adapalene plus 2.5% benzoyl peroxide gel significantly improved lesion counts over the course of 12 weeks in patients aged 12 years and older with moderate or severe acne.

Investigators enrolled just over 500 patients from 31 sites in the United States and Canada. About half of patients were rated as having severe acne and half as having moderate acne on the investigator’s global assessment (IGA) scale, Dr. Linda F. Stein Gold said at the Hawaii Dermatology Seminar provided by Global Academy for Medical Education/Skin Disease Education Foundation.

Dr. Linda F. Stein Gold

Patients were randomized to three treatment groups: adapalene 0.3%/benzoyl peroxide 2.5% gel (A-BPO-0.3%), adapalene 0.1%/benzoyl peroxide 2.5% (A-BPO-0.1%), or vehicle. Patients in each group had approximately the same total lesion count, and about half in each group had truncal acne lesions, said Dr. Stein Gold, director of clinical research in the department of dermatology at Henry Ford Hospital, Detroit.

Patients were instructed to use their study medications once daily at night after washing with a provided cleanser. They were provided with a standardized moisturizer and cleaners.

Treatment with A-BPO-0.3% was judged as successful (IGA of 1 or almost clear) at 12 weeks in 31% of patients with severe acne. By contrast, 13.3% of patients with severe acne were judged as almost clear. In patients with severe acne, A-BPO-1% was not statistically superior to vehicle (J Drugs Dermatol. 2015 Dec 1;14[12]:1427-35).

“Topical treatment is still the cornerstone of acne therapy, and it is great to have additional options, especially for our more severe acne patients,” Dr. Stein Gold said.

Patients noted dryness, scaling, erythema, and stinging/burning with A-BPO-0.3%, especially between weeks 1 and 2.

Dr. Stein Gold disclosed that she serves as a consultant and scientific advisory board member to Galderma, which markets A-BPO-0.3% as Epiduo Forte.

SDEF and this news organization are owned by the same parent company.

[email protected]

On Twitter @denisefulton

A convenient, once-daily fixed combination of 0.3% adapalene plus 2.5% benzoyl peroxide gel significantly improved lesion counts over the course of 12 weeks in patients aged 12 years and older with moderate or severe acne.

Investigators enrolled just over 500 patients from 31 sites in the United States and Canada. About half of patients were rated as having severe acne and half as having moderate acne on the investigator’s global assessment (IGA) scale, Dr. Linda F. Stein Gold said at the Hawaii Dermatology Seminar provided by Global Academy for Medical Education/Skin Disease Education Foundation.

Dr. Linda F. Stein Gold

Patients were randomized to three treatment groups: adapalene 0.3%/benzoyl peroxide 2.5% gel (A-BPO-0.3%), adapalene 0.1%/benzoyl peroxide 2.5% (A-BPO-0.1%), or vehicle. Patients in each group had approximately the same total lesion count, and about half in each group had truncal acne lesions, said Dr. Stein Gold, director of clinical research in the department of dermatology at Henry Ford Hospital, Detroit.

Patients were instructed to use their study medications once daily at night after washing with a provided cleanser. They were provided with a standardized moisturizer and cleaners.

Treatment with A-BPO-0.3% was judged as successful (IGA of 1 or almost clear) at 12 weeks in 31% of patients with severe acne. By contrast, 13.3% of patients with severe acne were judged as almost clear. In patients with severe acne, A-BPO-1% was not statistically superior to vehicle (J Drugs Dermatol. 2015 Dec 1;14[12]:1427-35).

“Topical treatment is still the cornerstone of acne therapy, and it is great to have additional options, especially for our more severe acne patients,” Dr. Stein Gold said.

Patients noted dryness, scaling, erythema, and stinging/burning with A-BPO-0.3%, especially between weeks 1 and 2.

Dr. Stein Gold disclosed that she serves as a consultant and scientific advisory board member to Galderma, which markets A-BPO-0.3% as Epiduo Forte.

SDEF and this news organization are owned by the same parent company.

[email protected]

On Twitter @denisefulton

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References

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SDEF: Severe acne responds to fixed-combo gel
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SDEF: Severe acne responds to fixed-combo gel
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