Abstract
Psoriasis is a common chronic inflammatory disorder, primarily of the skin. Despite an aging population, knowledge of the epidemiology of psoriasis and its treatments among the elderly is limited. We examined the prevalence of psoriasis and its treatments, with a focus on biologics and identification of factors associated with biologic use, using a nationally representative sample of Medicare beneficiaries in 2011. Based on several psoriasis identification algorithms, the claims-based prevalence for psoriasis in the United States ranged from 0.51% to 1.23%. Treatments employed for moderate to severe psoriasis (phototherapy, oral systemic, or biologic therapies) were received by 27.3% of the total psoriasis sample, of whom 37.2% used biologics. Patients without Medicare Part D low-income subsidies had 70% lower odds of having received biologics than those with low-income subsidies (odds ratio 0.30; 95% confidence interval, 0.19– 0.46). Similarly, the odds of having received biologics was 69% lower among black patients than white patients (0.31; 0.16–0.60). This analysis identified potential financial and racial barriers to receipt of biologic therapies and underscores the need for additional studies to further define the epidemiology and treatment of psoriasis among the elderly.
Introduction
Psoriasis is a common, chronic, multisystem, inflammatory disease of the skin and sometimes joints. Approximately 7.5 million Americans (National Psoriasis Foundation) are affected by psoriasis, resulting in a prevalence of 2% to 4% in the United States according to population-based estimates.(Gelfand et al., 2005b; Kurd and Gelfand, 2009; Rachakonda et al., 2014) Psoriasis is associated with significant economic,(Feldman et al., 2014) psychosocial,(Kimball et al., 2005) and physical(Yeung et al., 2013) health burdens that are proportional to disease severity. An increasing body of epidemiologic literature provides evidence that psoriasis, particularly more severe disease, is independently associated with increased risks of major adverse cardiovascular events,(Gelfand et al., 2009; Gelfand et al., 2006a; Mehta et al., 2010), diabetes,(Azfar et al., 2012) renal disease,(Wan et al., 2013) and other emerging comorbid diseases.(Yeung et al., 2013)
Treatment options for psoriasis include topical therapies, phototherapy, and systemic medications. Moderate to severe psoriasis, which affects nearly 25% of patients with the disease,(National Psoriasis Foundation) is an indication for treatment with phototherapy, oral systemics (i.e., methotrexate, cyclosporine, or acitretin), or biologics, while mild disease is generally treated with topical therapies alone. Psoriatic arthritis, which affects 6% to 17% of patients with psoriasis according to population-based studies,(Gelfand et al., 2005a; Ibrahim et al., 2009; Lofvendahl et al., 2014; Ogdie et al., 2013; Shbeeb et al., 2000; Wilson et al., 2009) is an indication for treatment with oral systemic or biologic therapies. In the last decade, several new therapies for moderate to severe psoriasis have been approved, primarily driven by the development of targeted biologics including tumor necrosis factor, interleukin (IL)-12/-23, and IL-17 inhibitors. Yet most psoriasis patients remain inadequately treated and dissatisfied with their therapies.(Armstrong et al., 2013; Horn et al., 2007) Furthermore, access to biologics remains a challenge for many patients because of limited insurance coverage, prohibitive costs, and other factors.(Kamangar et al., 2013; Polinski et al., 2009; Romanelli et al., 2015)
Despite marked progress in the understanding of the epidemiology, pathophysiology, and treatment of psoriasis during recent years, major knowledge gaps still exist, particularly regarding the prevalence of and treatment patterns for psoriasis among the growing elderly population which, in the United States, is estimated to reach 79.7 million by 2040.(Administration on Aging, 2012) As over 90% (Centers for Medicare and Medicaid Services, 2011) of the elderly (65 years and older) population in the United States receive medical coverage through the Medicare system, the aim of our study was to investigate the prevalence of psoriasis among Medicare beneficiaries who are actively receiving medical care, examine their clinical characteristics, and determine the prevalence of psoriasis therapies, with a focus on biologic use and factors associated with receiving biologic treatment.
Results
Claims-based psoriasis prevalence
Claims-based psoriasis prevalence was determined for 799,607 beneficiaries in the 2011 5% Medicare sample using eight different algorithms (Table 1). Using the International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM) 696.1 code to identify psoriasis, claims-based prevalence ranged from 1.13% (95% confidence interval [CI]: 1.10-1.15) using an algorithm identifying at least one inpatient or outpatient claim for psoriasis to 0.51% (95% CI: 0.50-0.53) using an algorithm identifying at least one inpatient or outpatient claim for psoriasis made by a dermatologist. We also explored a broader method of identifying psoriasis using claims for either psoriasis or psoriatic arthritis (ICD-9-CM 696.0). Claims-based psoriasis prevalence using this method ranged from 1.23% (95% CI: 1.20-1.25) to 0.60% (95% CI: 0.58-0.61). For our main analyses, we identified psoriasis by the presence of at least two inpatient or outpatient claims for psoriasis which resulted in a prevalence of 0.58% (95% CI: 0.56-0.60).
Table 1. Claims-Based Psoriasis Prevalencea.
Psoriasis Identification Algorithm | N | % (95% Confidence Interval) |
---|---|---|
ICD-9-CM 696.1 (Psoriasis) | ||
At least 1 inpatient or outpatient claim | 9,017 | 1.13 (1.10-1.15) |
At least 1 inpatient or 2 outpatient claims | 4,925 | 0.62 (0.60-0.63) |
At least 2 inpatient or outpatient claims | 4,638 | 0.58 (0.56-0.60) |
At least 1 inpatient or outpatient claim by dermatologist | 4,096 | 0.51 (0.50-0.53) |
ICD-9-CM 696.1 (Psoriasis) or 696.0 (Psoriatic Arthritis) | ||
At least 1 inpatient or outpatient claim | 9,827 | 1.23 (1.20-1.25) |
At least 1 inpatient or 2 outpatient claim | 5,695 | 0.71 (0.69-0.73) |
At least 2 inpatient or outpatient claims | 5,398 | 0.68 (0.66-0.69) |
At least 1 inpatient or outpatient claim by dermatologist or rheumatologist | 4,772 | 0.60 (0.58-0.61) |
Of 799,607 beneficiaries in the 2011 5% Medicare sample.
Psoriasis patient characteristics
Psoriasis patient and Medicare plan characteristics are summarized in Table 2. The mean age of psoriasis patients was 68.6 years (standard deviation [SD], 13.4); 43.2% were male, and 88.8% were white. Regional distribution was as follows: 24.0% in the Northeast, 23.0% in the Midwest, 36.2% in the South, and 16.6% in the West. County-level mean per capita income was $40,115 (SD, 11,817). Average number of dermatologists per 100,000 county residents was 3.6 (SD, 3.6). The majority of beneficiaries qualified for Medicare based on age alone (63.6%). Most beneficiaries were not receiving a Medicare Part D low-income subsidy (LIS) (58.4%). Only 19.0% of the beneficiaries were in Part D plans with enhanced alternative coverage. The most commonly coded comorbidities among beneficiaries with psoriasis were cardiometabolic disorders: 67.6% with hypertension, 59.9% with dyslipidemia, and 32.4% with diabetes; 23.5% had atherosclerotic outcomes. In contrast, the prevalence of obesity was relatively low at 9.3%. The prevalence of psoriatic arthritis was 9.4% which is similar to population-based estimates of psoriatic arthritis among patients with psoriasis.(Ogdie et al., 2013) Other comorbid diseases of interest include inflammatory bowel disease (1.2%), liver disease (5.1%), depression (17.1%), and renal disease (9.8%). As indicators of overall comorbidity, the average number of non-psoriasis medications received was 4.7 (SD, 3.4), and the mean RxHCC score was 1.0 (SD, 0.6).
Table 2. Psoriasis Patient Characteristicsa.
Characteristic | Number (%) N=4,638 |
---|---|
Age, mean (SD) | 68.6 (13.4) |
Age (category) | |
<65 | 1,237 (26.7) |
65–69 | 934 (20.1) |
70–74 | 912 (19.7) |
75–79 | 681 (14.7) |
≥80 | 874 (18.8) |
Sex, male | 2,002 (43.2) |
Race | |
White | 4,118 (88.8) |
Black | 236 (5.1) |
Latino | 104 (2.2) |
Other/Unknown | 180 (3.9) |
Census Region | |
Northeast | 1,113 (24.0) |
Midwest | 1,069 (23.0) |
South | 1,678 (36.2) |
West | 770 (16.6) |
County-Level Characteristics | |
Income, per capita/10,000, mean (SD) | 4.0 (1.2) |
County poverty rate,b mean (SD) | 15.5 (5.3) |
Residence in Urban County | 3611 (78.2) |
Residence in County with Low Educational Levelc | 520 (11.3) |
Number of primary care providersd per 10,000 residents, mean (SD) | 6.3 (3.0) |
Number of dermatologists per 100,000 residents, mean (SD) | 3.6 (3.6) |
Medicare eligibility | |
Aged | 2,952 (63.6) |
Disabled | 1,237 (26.7) |
Aged plus disabled | 449 (9.7) |
Low-income subsidy (LIS) status | |
Full | 1,838 (39.6) |
Partial | 47 (1.0) |
None | 2,709 (58.4) |
Mixed | 44 (0.9) |
Comorbidities | |
AIDS/HIV | 18 (0.39) |
Autoimmune disease | |
Ankylosing spondylitis | 74 (1.6) |
Inflammatory bowel disease | 55 (1.2) |
Rheumatoid arthritis | 290 (6.3) |
Rheumatologic disease | 382 (8.2) |
Cardiometabolic disease | |
Cerebrovascular disease | 497 (10.7) |
Congestive heart failure | 515 (11.1) |
Diabetes | 1,503 (32.4) |
Dyslipidemia | 2,776 (59.9) |
Hypertension | 3,137 (67.6) |
Myocardial infarction | 159 (3.4) |
Obesity | 431 (9.3) |
Peripheral vascular disease | 636 (13.7) |
Atherosclerotic outcomes (aggregate of cerebrovascular disease, myocardial infarction, and peripheral vascular disease) | 1,091 (23.5) |
Hemiplegia or paraplegia | 49 (1.1) |
Liver disease | |
Mild liver disease | 208 (4.5) |
Moderate to severe liver disease | 27 (0.58) |
Malignant disease | |
Cancer | 518 (11.2) |
Metastatic solid tumor | 37 (0.80) |
Neuropsychiatric disease | |
Dementia | 134 (2.9) |
Depression | 794 (17.1) |
Peptic ulcer disease | 59 (1.3) |
Psoriatic arthritis | 436 (9.4) |
Pulmonary disease, chronic | 1,108 (23.9) |
Renal disease | 455 (9.8) |
Non-Psoriasis Medications | |
Number of 30-day supply equivalent prescriptions for non-psoriasis medications, mean (SD) | 4.7 (3.4) |
Type of Medicare Part D Plane | |
Basic | 3,491 (75.3) |
Enhanced | 879 (19.0) |
Unknown | 268 (5.8) |
RxHCC score, mean (SD) | 1.0 (0.6) |
AIDS, acquired immune deficiency syndrome; HIV, human immunodeficiency virus; LIS, low-income subsidy; RxHCC, prescription drug hierarchical condition category risk score; SD, standard deviation.
Psoriasis is defined by at least two inpatient or outpatient claims for psoriasis (ICD-9-CM 696.1).
County poverty rate is defined as the percentage of persons in the county living in poverty.
County with low educational level is defined by at least 25% of residents not having a high school diploma or general educational development (GED) in the patient's county of residence.
Primary care providers included medical providers practicing in the fields of general family medicine, general practice, and general internal medicine.
Basic plans include defined standard benefit, actuarially equivalent standard, and basic alternative type of Part D plans. Enhanced plans include enhanced alternative type of Part D plans.
Psoriasis therapy prevalence
The prevalence of therapies received by Medicare beneficiaries with psoriasis is summarized in Table 3. Most patients had at least one claim for psoriasis therapy (83.5%), and 16.5% received no therapy. Topical therapies were used by 76.6% (N=3,551), the majority of whom received topical corticosteroids (97.9%). Phototherapy was used by 7% (N=324). Oral systemic medications were used by 14.3% (N=664), the majority of whom received methotrexate (85.7%). Biologics were received by 10.2% (N=471), among whom specific biologic use was distributed as follows: 44.4% etanercept, 34.2% adalimumab, 22.7% infliximab, and 7.9% ustekinumab. Among biologic users, 31.0% used a physician-administered drug (i.e., alefacept, infliximab, or ustekinumab) and 78.6% used a self-administered biologic (i.e., adalimumab or etanercept). Of those who used biologics, 61.8% of patients received biologics only (with or without topical therapies), and the remaining 38.2% also received oral systemics and/or phototherapy during the year.
Table 3. Psoriasis Therapy Prevalencea.
Therapy | Number (%)b N=4,638 |
---|---|
| |
Topicalsc | 3,551 (76.6) |
Corticosteroids | 3,477 (75.0) |
Class I | 1,846 (39.8) |
Non-Class I | 2,718 (58.6) |
Calcineurin inhibitors | 121 (2.6) |
Vitamin D analogs | 643 (13.9) |
Retinoids | 21 (0.45) |
Salicylic acid | 12 (0.17) |
| |
Phototherapy | 324 (7.0) |
Psoralen plus Ultraviolet A | 34 (0.73) |
| |
Excimer laser | 126 (2.7) |
| |
Oral systemics | 664 (14.3) |
Methotrexate | 569 (12.3) |
Cyclosporine | 22 (0.47) |
Acitretin | 90 (1.9) |
| |
Biologicsd | 471 (10.2) |
Part B (physician-administered) | 146 (3.1) |
Infliximab | 107 (2.3) |
Ustekinumab | 37 (0.80) |
Part D (self-injectables) | 370 (8.0) |
Adalimumab | 161 (3.5) |
Etanercept | 209 (4.5) |
Psoriasis is defined by at least two inpatient or outpatient claims for psoriasis (ICD-9-CM 696.1).
Percentages do not equal 100 because patients may have received more than one therapy.
Coal tar/anthralin use was examined but not reported separately per Centers for Medicare and Medicaid Services (CMS) data use agreement due to cell size of 10 or less.
Alefacept was examined but not reported separately per CMS data use agreement due to cell size of 10 or less.
In the absence of direct measures of psoriasis severity in claims data, we used psoriasis treatment as a surrogate to define mild versus moderate to severe disease. Patients who received either no therapy or topical therapies only were considered to have mild psoriasis and those who received phototherapy, oral systemics, or biologics were considered to have moderate to severe psoriasis. Using this method, 70.9% of patients had mild disease and 27.3% had moderate to severe disease (Table 4). Of patients identified to have moderate to severe psoriasis, phototherapy was used by 25.6%, oral systemics by 52.4%, and biologics by 37.2%.
Table 4. Psoriasis Severity.
Severity Defined by Therapy | Number (%)a N = 4,638 |
---|---|
| |
Mild (n=3,289; 70.9%) | |
| |
No therapy | 763 (23.2)b |
Topicals only | 2,526 (76.8)b |
| |
Moderate to Severec (n=1,267; 27.3%) | |
| |
Phototherapy | 324 (25.6)d |
Oral Systemics | 664 (52.4)d |
Methotrexate | 569 (44.9)d |
Cyclosporine | 22 (1.7)d |
Acitretin | 90 (7.1)d |
Biologics | 471 (37.2)d |
Adalimumab | 161 (12.7)d |
Etanercept | 209 (44.4)d |
Infliximab | 107 (16.5)d |
Ustekinumab | 37 (2.9)d |
| |
Unknown (n=82; 1.8%) |
Percentages do not equal 100 because patients may have received more than one therapy.
Percentages are calculated amongst those with mild psoriasis.
Alefacept was included as a biologic therapy to identify moderate to severe psoriasis but not reported separately per CMS data use agreement due to cell size of 10 or less.
Percentages are calculated amongst those with moderate to severe psoriasis.
Factors associated with biologic use
In multivariate analyses, we identified factors associated with biologic use among patients receiving therapies consistent with moderate to severe psoriasis. Factors associated with a lower likelihood of receiving biologics were: higher primary care provider density (odds ratio [OR] 0.92; 95% confidence interval [CI]: 0.86-0.98), absence of Part D LIS (OR 0.30; 95% CI: 0.19–0.46), black race (OR 0.31; 95% CI: 0.16–0.60), and comorbid cancer (OR 0.47; 95% CI: 0.31–0.72) and dementia (OR 0.26; 95% CI: 0.07-0.97) (Table 5). Factors associated with a greater likelihood of biologic use included: higher dermatology provider density (OR 1.08; 95% CI: 1.01–1.16), residence in an urban county (OR 1.54; 95% CI: 1.13-2.11), and comorbid ankylosing spondylitis (OR 2.26; 95% CI; 1.13–4.53), inflammatory bowel disease (OR 8.11; 95% CI: 1.91–34.5), psoriatic arthritis (OR 3.79; 95% CI: 2.74–5.24), and renal disease (OR: 2.03, 95% CI: 1.24–3.35).
Table 5. Factors Associated with Biologic Use Among Patients Receiving Therapy Indicated for Moderate to Severe Psoriasisa.
Characteristic | Status | Unadjusted Odds Ratio (95% Confidence Interval) | Adjusted Odds Ratiob (95% Confidence Interval) | Adjusted Rate, % (95% Confidence Interval) |
---|---|---|---|---|
Factors Associated with Higher Odds of Biologic Use | ||||
Dermatology Provider Density | 3.4 per 100,000 (sample mean) | 1.01 (0.98-1.04) | 1.08 (1.01-1.16) | 37.4 (35.3-39.5) |
4.4 per 100,000 (one unit increase) | 38.9 (36.4-41.3) | |||
Residence in Urban County | No | Reference | 31.5 (26.9-36.1) | |
Yes | 1.22 (0.94-1.60) | 1.54 (1.13-2.11) | 39.2 (36.8-41.7) | |
Ankylosing Spondylitis | No | Reference | 37.3 (35.2-39.4) | |
Yes | 2.52 (1.24-5.09) | 2.26 (1.13-4.53) | 52.5 (39.2-65.9) | |
Inflammatory Bowel Disease | No | Reference | 37.3 (35.2-39.4) | |
Yes | 7.46 (2.29-24.3) | 8.11 (1.91–34.5) | 75.6 (53.5-97.7) | |
Psoriatic Arthritis | No | Reference | 30.7 (28.2-33.2) | |
Yes | 3.71 (2.85-4.83) | 3.79 (2.74–5.24) | 57.3 (51.8-62.8) | |
Renal Disease | No | Reference | 36.1 (33.8-38.4) | |
Yes | 1.45 (1.00-2.11) | 2.03 (1.24–3.35) | 49.5 (40.6-58.5) | |
Factors Associated with Lower Odds of Biologic Use | ||||
Primary Care Provider Density | 6.2 per 10,000 (sample mean) | 0.98 (0.94-1.01) | 0.92 (0.86-0.98) | 36.9 (34.8-39.1) |
7.2 per 10,000 (one unit increase) | 35.8 (33.4-38.1) | |||
Part D Low-Income Subsidy | Full | Reference | 50.6 (44.9-56.3) | |
None | 0.36 (0.29-0.45) | 0.30 (0.19–0.46) | 27.2 (23.5-30.9) | |
Race | White | Reference | 38.2 (35.9-40.5) | |
Black | 0.55 (0.31-0.99) | 0.31 (0.16–0.60) | 19.8 (11.4-28.1) | |
Cancer | No | Reference | 38.2 (35.9-40.5) | |
Yes | 0.38 (0.26-0.56) | 0.47 (0.31–0.72) | 25.7 (19.4-31.9) | |
Dementia | No | Reference | 37.7 (35.5-39.8) | |
Yes | 0.41 (0.13-1.28) | 0.26 (0.07-0.97) | 17.2 (2.1-32.3) |
Moderate to severe psoriasis is identified by receipt of either phototherapy, oral systemic or biologic therapy.
Based on a multivariable logistic regression model including the following covariates: age, sex, race, census region of residence, county-level per-capita income, county-level poverty rate, county-level urban versus rural status, county-level low educational level, density of dermatologists and adult primary care providers per number of residents in the patient's county of residence, part D plan type, low-income subsidy status, number of non-psoriasis medications, RxHCC score, and comorbid disease status including all components of the Charlson comorbidity index, autoimmune diseases for which biologic therapies are indicated, cardiovascular risk factors, and aggregate of atherosclerotic outcomes.
Discussion
In this nationally representative sample of Medicare fee-for-service beneficiaries with Part D drug coverage, we determined claims-based psoriasis prevalence and examined the clinical characteristics, treatment prevalence, and factors associated with biologic use for patients with psoriasis. Claims-based psoriasis prevalence ranged from 0.51% to 1.23%, depending on the identification algorithm used. These prevalence estimates were lower than what has been reported in population-based studies,(Gelfand et al., 2005b; Kurd and Gelfand, 2009; Rachakonda et al., 2014) perhaps because patients with milder disease do not seek medical care for their skin disease and/or due to the presence of other barriers to receiving psoriasis care. The distribution of comorbid diseases among psoriasis patients was as expected, with the most common comorbidities being related to cardiometabolic disease. With the exception of obesity, the prevalence of cardiometabolic comorbidities was generally greater than what has previously been reported for the general population,(Neimann et al., 2006; Yeung et al., 2013) and is likely, in part, attributable to our focus on an elderly population that is more likely to suffer from comorbid conditions.(Sundquist et al., 2001) Prevalence of cardiometabolic diseases and outcomes may also be affected by misclassification.(Quan et al., 2008) The prevalence of psoriatic arthritis claims was in accordance with population-based estimates of 6% to 17% for psoriasis patients.(Gelfand et al., 2005a; Ibrahim et al., 2009; Lofvendahl et al., 2014; Ogdie et al., 2013; Shbeeb et al., 2000; Wilson et al., 2009)
In our study, 16.4% of patients were not receiving treatment for their psoriasis; this is lower than the approximately 40% of patients with psoriasis who were reported to not be receiving treatment in two published surveys of National Psoriasis Foundation members.(Armstrong et al., 2013; Horn et al., 2007) Similar to claims-based psoriasis prevalence, we suspect that the prevalence of untreated psoriasis patients in our study is an underestimate because of our inability to capture those patients, especially with mild disease, who are not receiving care for their psoriasis. Phototherapy was received by a mere 7% of patients. This observation is consistent with the declining phototherapy usage rates observed in the United States,(Housman et al., 2002; Shaw et al., 2014) which are suggested to result from a combination of factors including poor reimbursement rates (especially for Medicare recipients),(Lebwohl, 2013) greater out-of-pocket costs to patients compared with biologics,(Yentzer et al., 2009) and greater time commitment required from the patient, despite phototherapy being a first-line, effective, and well-tolerated treatment for moderate to severe psoriasis.(Menter et al., 2008) Oral systemic medications, namely methotrexate, were found to be the most common treatments for beneficiaries receiving therapies used for moderate to severe psoriasis, followed by biologics with approximately one-third of beneficiaries having received a biologic in 2011. Among biologic therapies, self-administered biologics were used by most patients, perhaps reflecting patient preferences for subcutaneous self-injectables over intravenous biologics, a finding suggested by previous studies of patients with rheumatoid arthritis who are candidates for similar biologics.(Barton, 2009; Huynh et al., 2014) The prevalence of ustekinumab claims in our study was predictably low, perhaps owing to its more recent approval by the FDA for treatment of moderate to severe psoriasis in September 2009 compared with the other biologics.
Examination of the factors associated with biologic use among those patients receiving therapies used to treat moderate to severe psoriasis revealed both expected and novel findings. Medicare beneficiaries lacking LIS under the Part D plan had 70% lower odds of receiving biologics than their counterparts with LIS that allowed for minimal out-of-pocket drug costs for self-injectable biologics (approximately $3 to $6 copayment depending on income levels), independent of other patient and plan characteristics. Moreover, patients without LIS may face substantially greater costs for several of the Part D covered biologics with 25% to 33% co-insurance within the initial coverage limit and 50% of the drug costs in the Part D coverage gap.
We also found black beneficiaries to be approximately 70% less likely to receive biologics than white beneficiaries. LIS status(Zhang et al., 2013) and black race(Chu et al., 2013; Schmajuk et al., 2011; Solomon et al., 2012) have been similarly associated with biologic use in studies of patients with rheumatoid arthritis. Together, these findings suggest the presence of economic and racial factors that may impact the treatment of moderate to severe psoriasis and merit further study.
Expectedly, higher dermatology provider density and residence in an urban county setting were each associated with greater odds of receiving a biologic. The presence of comorbidities for which biologic treatment is indicated (i.e., ankylosing spondylitis, inflammatory bowel disease, and psoriatic arthritis) was also associated with greater odds of receiving biologics. Patients with history of renal disease were twice as likely to receive biologic therapy as patients without renal disease, likely because of the relative contraindication to methotrexate use among those with renal insufficiency. On the other hand, patients with history of cancer, a relative contraindication to biologics, and those with dementia were less likely to receive biologics than patients without cancer and dementia, respectively. Lastly, it is notable that the likelihood of receiving a biologic did not differ between those who qualified for Medicare based on their age versus those who qualified because of disability.
Our study has several strengths, including use of Medicare claims data that are representative of the elderly (65 years and older) population in the United States, 93% of whom were enrolled in Medicare in 2011,(Services, 2011) making our findings generalizable to the majority of this population who has fee-for-service Medicare with Part D drug coverage. Medicare data have high quality information on demographics, clinical encounters, and prescriptions for beneficiaries. In particular, race data have been shown to be valid for whites and blacks.(Zaslavsky et al., 2012) There are also several limitations of our study to consider.
Misclassification of psoriasis(Icen et al., 2008) and comorbidities(Quan et al., 2008) as identified by administrative claims is possible. We identified patients with psoriasis by the presence of at least two claims for ICD-9-CM 696.1 which has been suggested to have a positive predictive value of 70%.(Icen et al., 2008) This definition was preferred over that of at least one claim for psoriasis by a dermatologist to balance our efforts to minimize misclassification and avoid selection of a more severe population of psoriasis patients who would be more likely to see a dermatologist. Furthermore, because our study relies on medical claims to identify patients with psoriasis, our results may underestimate the true prevalence of psoriasis among the elderly. Our study also encompasses data from 2011 that may not be representative of the current state of psoriasis treatment among the elderly, particularly for those receiving ustekinumab which was approved for psoriasis in September 2009. As data on direct measures of psoriasis severity were unavailable, we used treatment as a proxy to define severity that may have resulted in misclassification. We also lacked information on other patient- and provider-level factors such as individual income or education status, or provider prescription patterns that may further affect biologic use. Lastly, our findings may not be generalizable to beneficiaries enrolled in Medicare managed care (i.e., Medicare Advantage or Part C) plans and non-Medicare patient populations.
Our study is, to our knowledge, the first to examine the epidemiology and treatment of psoriasis in the United States Medicare population. We found the claims-based prevalence of psoriasis to be lower than population-based estimates. Cardiometabolic disorders and depression were prevalent among Medicare beneficiaries with psoriasis, confirming previous epidemiologic studies performed in generally younger populations and possibly suggesting an even greater burden of comorbid disease among the elderly psoriasis population. Phototherapy was underutilized, consistent with decreasing use of phototherapy in the United States.(Housman et al., 2002; Shaw et al., 2014) Oral systemic medications were used by more than half of Medicare beneficiaries receiving therapies indicated for moderate to severe psoriasis, followed closely by biologic use at approximately 37%. Notably, our data identify potential financial and racial barriers to psoriasis patients receiving biologic therapies. To improve psoriasis treatment, future studies should evaluate if similar barriers also exist for other populations, such as those with private insurance, Medicaid, or other medical coverage programs. Collectively, our findings provide an important addition to the limited literature on psoriasis and its treatments among the elderly and highlight areas for future study.
Materials & Methods
Data source, study population, design
We performed a retrospective claims analysis of the 2011 5% Medicare Chronic Condition Warehouse files available from the United States Centers for Medicare and Medicaid Services (CMS). Medicare is a nationwide health insurance program administered by the United States federal government for the elderly (65 years and older) and disabled. Medicare data are broadly representative of the elderly population in the United States. We estimated the annual cross-sectional prevalence of psoriasis claims among beneficiaries with continuous fee-for-service Medicare Part A (hospital insurance) and B (medical insurance) coverage and stand-alone Part D (prescription drug) plan enrollment in 2011. In our primary analyses, we also examined patient demographics, socioeconomic status, Medicare plan characteristics, clinical characteristics, and treatments for psoriasis among patients who had at least two inpatient or outpatient claims for psoriasis, identified by ICD-9-CM code 696.1. In secondary analyses, we identified psoriasis by at least one inpatient or outpatient claim for psoriasis by a dermatologist and present data in supplementary Tables 1 through 4.
Claims-based psoriasis prevalence
Claims-based psoriasis prevalence was examined using eight algorithms (Table 1): i) at least one inpatient or outpatient claim for ICD-9-CM 696.1 (psoriasis); ii) at least one inpatient or two outpatient claims for ICD-9-CM 696.1; iii) at least two inpatient or outpatient claims for ICD-9-CM 696.1; iv) at least one inpatient or outpatient claim for ICD-9-CM 696.1 by a dermatologist; v) at least one inpatient or outpatient claim for ICD-9-CM 696.1 or 696.0 (psoriatic arthritis); vi) at least one inpatient or two outpatient claims for ICD-9-CM 696.1 or 696.0; vii) at least two inpatient or outpatient claims for ICD-9-CM 696.1 or 696.0; and viii) at least one inpatient or outpatient claim for ICD-9-CM 696.1 or 696.0 by a dermatologist or rheumatologist. Since most patients with psoriatic arthritis also have psoriasis,(Gladman et al., 2005),(Love et al., 2007) our algorithms explored the use of ICD-9-CM codes for both psoriasis (696.1) and psoriatic arthritis (696.0). Provider specialty was determined using the Medicare provider specialty supplemental file. Algorithm (ii) was used for our main analyses. This algorithm was selected to minimize psoriasis misclassification, avoid limitation of the study population to more severe cases presenting to dermatologists, and minimize inclusion of those with concomitant psoriatic arthritis, since having arthritis may have driven therapy decisions and affected treatment patterns.
Psoriasis treatments
We examined the prevalence of topical therapies, phototherapy, and oral systemic and biologic medications used to treat psoriasis among all Medicare beneficiaries with psoriasis. The prevalence of phototherapy, oral systemics, and biologics among patients identified as having moderate to severe psoriasis was also determined. Topical therapies included corticosteroids, calcineurin inhibitors, vitamin D analogs, coal tar or anthralin, retinoids (i.e., tazarotene), and salicylic acid. Phototherapy included both ultraviolet B (UVB) and psoralen and ultraviolet A (PUVA). Oral systemic therapies included methotrexate, cyclosporine, and acitretin. Biologic therapies included adalimumab, alefacept, etanercept, infliximab, and ustekinumab.
Psoriasis severity
In the absence of direct measures of psoriasis severity in claims data, per convention, the receipt of phototherapy, oral systemic, or biologic was used as a proxy to define moderate to severe psoriasis.(Gelfand et al., 2006a; Gelfand et al., 2006b; Seminara et al., 2011; Wu et al., 2012) Mild psoriasis was defined by the absence of therapy or receipt of topical therapies only.
Variables
Patient and Medicare plan characteristics served as covariates in regression analyses and were summarized descriptively. Patient demographics and characteristics included age, sex, race, census region of residence, reason for Medicare eligibility (aged or disabled), and Part D LIS status. County-level socioeconomic characteristics included per-capita income, poverty rate, urban versus rural status, and low educational level. The density of dermatologists and adult primary care providers per number of residents in the patient's county of residence was used as a measure of availability of and/or access to dermatologists and primary care providers, respectively. Clinical variables included specific comorbid disease status including other autoimmune diseases for which biologic therapies are indicated (i.e., ankylosing spondylitis, inflammatory bowel disease, psoriatic arthritis, and rheumatoid arthritis), cardiovascular disease risk factors, an aggregate of atherosclerotic outcomes (i.e., cerebrovascular disease, myocardial infarction, and peripheral vascular disease), components of the Charlson comorbidity index,(Quan et al., 2005) and other measures of comorbidity including total number of non-psoriasis medications, and prescription drug hierarchical condition category (RxHCC) risk score. Each comorbid disease was defined by at least two inpatient or outpatient claims for the disease of interest. The RxHCC score was originally created using the RxHCC model to predict each Medicare beneficiary's total drug spending in the following year based on indicators for 197 medical conditions identified from Medicare claims.(Robst et al., 2007) Although the RxHCC risk score was designed for Medicare prescription drug plan payment purposes, it has been used to adjust for potential selection biases in medical and drug use studies among Medicare patients.(Donohue et al., 2012; Doshi et al., 2010; Li et al., 2012; Li et al., 2014) Furthermore, the RxHCC model was adapted from the hierarchical condition category (HCC) risk adjustment model which has been shown to be a better predictor of mortality than other comorbidity measures such as the Charlson and Elixhauser comorbidity indices.(Li et al., 2010) Unlike the official RxHCC risk score which includes weights for age and sex, our score was based on medical conditions only, allowing us to independently examine age and sex effects in regression analyses. Medicare Part D plans cover drugs that are approved for self-administration (i.e., topicals, orals, and the self-administered biologics adalimumab and etanercept). Part D plan characteristics include type of Part D benefit (defined standard benefit, actuarially equivalent standard, basic alternative, and enhanced alternative). Except for the enhanced alternative benefit, all Part D benefits provide basic benefits which include defined standard coverage or benefits that are actuarially equivalent to the standard coverage. LIS is generally provided to Part D beneficiaries who are financially disadvantaged and allows for minimal out-of-pocket drug costs to those receiving the subsidy compared with non-LIS beneficiaries.
Analysis
We used descriptive statistics to calculate the prevalence of psoriasis claims and summarize demographic, socioeconomic, Medicare plan and comorbid disease characteristics, and psoriasis therapies. Multivariate logistic regressions adjusted for clustering at the Medicare plan level were used to identify the factors associated with biologic use. All variables except for psoriasis therapies were included in the logistic regressions in order to determine which factors were associated with biologic use; the aggregate atherosclerotic outcomes variable was included in place of individual cerebrovascular disease, myocardial infarction, and peripheral vascular disease variables. Parsimonious models removing clinically or statistically non-significant variables were also evaluated and produced similar results to the full regression models. Risk-adjusted rates were calculated from the full multivariate logistic regression model.
There were no missing data; variables with designated “other” or “unknown” values were included as such. Statistical significance was determined by a two-tailed p-value < 0.05. All analyses were performed using Stata (Version 13, StataCorp, College Station, TX, USA).
Protection of human subjects
This study was approved by the University of Pennsylvania Institutional Review Board and CMS (Data Use Agreement 25762). Per CMS Data Use Agreement, any data cells containing fewer than 11 beneficiaries were not shown. The study was conducted in accordance with the Declaration of Helsinki and reported in accordance with the Strengthening the Reporting of Observational Studies in Epidemiology guidelines.(von Elm et al., 2007)
Supplementary Material
Acknowledgments
Funding/Support: This study was funded by Amgen with additional support from the National Institutes of Health (CTSA UL1RR024134). Dr. Takeshita was supported by a Dermatology Foundation Career Development Award; Dr. Gelfand was supported by NIAMS K24-AR064310.
Role of the Sponsors: The sponsors (Amgen) participated in the design and conduct of the study; interpretation of the data; preparation, review and approval of the manuscript; and in the decision to submit the manuscript for publication. The sponsors (Amgen) had no role in the collection, management, or analysis of the data.
Abbreviations
- AIDS
acquired immune deficiency syndrome
- CI
confidence interval
- CMS
Centers for Medicare and Medicaid Services
- HIV
human immunodeficiency virus
- ICD-9-CM
International Classification of Diseases, Ninth Revision, Clinical Modification
- IL
interleukin
- LIS
low-income subsidy
- OR
odds ratio
- RxHCC
prescription drug hierarchical condition category
- SD
standard deviation
Footnotes
Conflict of Interest: Dr. Doshi has served as a consultant and/or member of an advisory board for Alkermes, Boehringer Ingelheim, Forest, Merck, and Shire, receiving honoraria; had grants or has pending grants from Amgen (relevant to this study), Humana, Merck, Pfizer, PhRMA, and National Pharmaceutical Council; and has a spouse who holds stocks in Merck and Pfizer. Dr. Gelfand served as a consultant for Abbvie, Amgen Inc., Coherus, Eli Lilly, Janssen Biologics (formerly Centocor), Merck, Novartis Corp, and Pfizer Inc., receiving honoraria; had grants or has pending grants from Abbvie, Amgen Inc., Eli Lilly, Janssen, Novartis Corp, and Pfizer Inc.; and received payment for continuing medical education work related to psoriasis. Dr. Takeshita has a grant from Pfizer and received payment for continuing medical education work related to psoriasis. Mr. Pinto and Dr. Viswanathan are employees of and shareholders of Amgen Inc.
References
- Administration on Aging United States Department of Health and Human Services. A Profile of Older Americans. [Accessed October 24, 2014];2012 http://www.aoa.gov/Aging_Statistics/Profile/2012/2.aspx.
- Armstrong AW, Robertson AD, Wu J, et al. Undertreatment, treatment trends, and treatment dissatisfaction among patients with psoriasis and psoriatic arthritis in the United States: findings from the National Psoriasis Foundation surveys, 2003-2011. JAMA Dermatol. 2013;149:1180–5. doi: 10.1001/jamadermatol.2013.5264. [DOI] [PubMed] [Google Scholar]
- Azfar RS, Seminara NM, Shin DB, et al. Increased risk of diabetes mellitus and likelihood of receiving diabetes mellitus treatment in patients with psoriasis. Arch Dermatol. 2012;148:995–1000. doi: 10.1001/archdermatol.2012.1401. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Barton JL. Patient preferences and satisfaction in the treatment of rheumatoid arthritis with biologic therapy. Patient Preference and Adherence. 2009;3:335–44. doi: 10.2147/ppa.s5835. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Centers for Medicare and Medicaid Services. [Accessed December 1, 2014];Center for Medicare and Medicaid Services 2011 Data Compendium. 2011 https://www.cms.gov/Research-Statistics-Data-and-Systems/Statistics-Trends-and-Reports/DataCompendium/2011_Data_Compendium.html.
- Chu LH, Portugal C, Kawatkar AA, et al. Racial/ethnic differences in the use of biologic disease-modifying antirheumatic drugs among California Medicaid rheumatoid arthritis patients. Arthritis Care Res. 2013;65:299–303. doi: 10.1002/acr.21798. [DOI] [PubMed] [Google Scholar]
- Donohue JM, Morden NE, Gellad WF, et al. Sources of regional variation in Medicare Part D drug spending. N Engl J Med. 2012;366:530–8. doi: 10.1056/NEJMsa1104816. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Doshi JA, Li P, Puig A. Impact of the Medicare Modernization Act of 2003 on utilization and spending for medicare part B-covered biologics in rheumatoid arthritis. Arthritis Care Res. 2010;62:354–61. doi: 10.1002/acr.20010. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Feldman SR, Burudpakdee C, Gala S, et al. The economic burden of psoriasis: a systematic literature review. Expert Rev Pharmacoecon Outcomes Res. 2014:1–21. doi: 10.1586/14737167.2014.933671. [DOI] [PubMed] [Google Scholar]
- Gelfand JM, Dommasch ED, Shin DB, et al. The risk of stroke in patients with psoriasis. Journal Invest Dermatol. 2009;129:2411–8. doi: 10.1038/jid.2009.112. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Gelfand JM, Gladman DD, Mease PJ, et al. Epidemiology of psoriatic arthritis in the population of the United States. J Am Acad Dermatol. 2005a;53:573. doi: 10.1016/j.jaad.2005.03.046. [DOI] [PubMed] [Google Scholar]
- Gelfand JM, Neimann AL, Shin DB, et al. Risk of myocardial infarction in patients with psoriasis. JAMA. 2006a;296:1735–41. doi: 10.1001/jama.296.14.1735. [DOI] [PubMed] [Google Scholar]
- Gelfand JM, Shin DB, Neimann AL, et al. The risk of lymphoma in patients with psoriasis. Journal Invest Dermatol. 2006b;126:2194–201. doi: 10.1038/sj.jid.5700410. [DOI] [PubMed] [Google Scholar]
- Gelfand JM, Stern RS, Nijsten T, et al. The prevalence of psoriasis in African Americans: results from a population-based study. J Am Acad Dermatol. 2005b;52:23–6. doi: 10.1016/j.jaad.2004.07.045. [DOI] [PubMed] [Google Scholar]
- Gladman DD, Antoni C, Mease P, et al. Psoriatic arthritis: epidemiology, clinical features, course, and outcome. Ann Rheum Dis. 2005;64(Suppl 2):ii14–7. doi: 10.1136/ard.2004.032482. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Horn EJ, Fox KM, Patel V, et al. Are patients with psoriasis undertreated? Results of National Psoriasis Foundation survey. J Am Acad Dermatol. 2007;57:957–62. doi: 10.1016/j.jaad.2007.06.042. [DOI] [PubMed] [Google Scholar]
- Housman TS, Rohrback JM, Fleischer AB, Jr, et al. Phototherapy utilization for psoriasis is declining in the United States. J Am Acad Dermatol. 2002;46:557–9. doi: 10.1067/mjd.2002.120451. [DOI] [PubMed] [Google Scholar]
- Huynh TK, Ostergaard A, Egsmose C, et al. Preferences of patients and health professionals for route and frequency of administration of biologic agents in the treatment of rheumatoid arthritis. Patient Prefer Adherence. 2014;8:93–9. doi: 10.2147/PPA.S55156. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Ibrahim G, Waxman R, Helliwell PS. The prevalence of psoriatic arthritis in people with psoriasis. Arthritis Rheum. 2009;61:1373–8. doi: 10.1002/art.24608. [DOI] [PubMed] [Google Scholar]
- Icen M, Crowson CS, McEvoy MT, et al. Potential misclassification of patients with psoriasis in electronic databases. J Am Acad Dermatol. 2008;59:981–5. doi: 10.1016/j.jaad.2008.08.034. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Kamangar F, Isip L, Bhutani T, et al. How psoriasis patients perceive, obtain, and use biologic agents: Survey from an academic medical center. J Dermatolog Treat. 2013;24:13–24. doi: 10.3109/09546634.2011.631979. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Kimball AB, Jacobson C, Weiss S, et al. The psychosocial burden of psoriasis. Am J Clin Dermatol. 2005;6:383–92. doi: 10.2165/00128071-200506060-00005. [DOI] [PubMed] [Google Scholar]
- Kurd SK, Gelfand JM. The prevalence of previously diagnosed and undiagnosed psoriasis in US adults: results from NHANES 2003-2004. J Am Acad Dermatol. 2009;60:218–24. doi: 10.1016/j.jaad.2008.09.022. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Lebwohl M. CMS reduces value of phototherapy codes. [Accessed October 28, 2014];2013 https://www.aad.org/members/publications/member-to-member/2013-archive/december-6-2013/cms-reduces-value-of-phototherapy-codes.
- Li P, Kim MM, Doshi JA. Comparison of the performance of the CMS Hierarchical Condition Category (CMS-HCC) risk adjuster with the Charlson and Elixhauser comorbidity measures in predicting mortality. BMC Health Serv Res. 2010;10:245. doi: 10.1186/1472-6963-10-245. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Li P, McElligott S, Bergquist H, et al. Effect of the Medicare Part D coverage gap on medication use among patients with hypertension and hyperlipidemia. Ann Intern Med. 2012;156:776–84. doi: 10.7326/0003-4819-156-11-201206050-00004. W-263, W-4, W-5, W-6, W-7, W-8, W-9. [DOI] [PubMed] [Google Scholar]
- Li P, Metlay JP, Marcus SC, et al. Factors associated with antimicrobial drug use in medicaid programs. Emerg Infect Dis. 2014;20:829–32. doi: 10.3201/eid2005.130493. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Lofvendahl S, Theander E, Svensson A, et al. Validity of diagnostic codes and prevalence of physician-diagnosed psoriasis and psoriatic arthritis in southern Sweden--a population-based register study. PloS One. 2014;9:e98024. doi: 10.1371/journal.pone.0098024. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Love TJ, Gudbjornsson B, Gudjonsson JE, et al. Psoriatic arthritis in Reykjavik, Iceland: prevalence, demographics, and disease course. J Rheumatol. 2007;34:2082–8. [PubMed] [Google Scholar]
- Mehta NN, Azfar RS, Shin DB, et al. Patients with severe psoriasis are at increased risk of cardiovascular mortality: cohort study using the General Practice Research Database. Eur Heart J. 2010;31:1000–6. doi: 10.1093/eurheartj/ehp567. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Menter A, Gottlieb A, Feldman SR, et al. Guidelines of care for the management of psoriasis and psoriatic arthritis: Section 1. Overview of psoriasis and guidelines of care for the treatment of psoriasis with biologics. J Am Acad Dermatol. 2008;58:826–50. doi: 10.1016/j.jaad.2008.02.039. [DOI] [PubMed] [Google Scholar]
- National Psoriasis Foundation. [Accessed September 1, 2014]; http://www.psoriasis.org/research/science-of-psoriasis/statistics.
- Neimann AL, Shin DB, Wang X, et al. Prevalence of cardiovascular risk factors in patients with psoriasis. J Am Acad Dermatol. 2006;55:829–35. doi: 10.1016/j.jaad.2006.08.040. [DOI] [PubMed] [Google Scholar]
- Ogdie A, Langan S, Love T, et al. Prevalence and treatment patterns of psoriatic arthritis in the UK. Rheumatology. 2013;52:568–75. doi: 10.1093/rheumatology/kes324. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Polinski JM, Mohr PE, Johnson L. Impact of Medicare Part D on access to and cost sharing for specialty biologic medications for beneficiaries with rheumatoid arthritis. Arthritis and Rheum. 2009;61:745–54. doi: 10.1002/art.24560. [DOI] [PubMed] [Google Scholar]
- Quan H, Li B, Saunders LD, et al. Assessing validity of ICD-9-CM and ICD-10 administrative data in recording clinical conditions in a unique dually coded database. Health Serv Res. 2008;43:1424–41. doi: 10.1111/j.1475-6773.2007.00822.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Quan H, Sundararajan V, Halfon P, et al. Coding algorithms for defining comorbidities in ICD-9-CM and ICD-10 administrative data. Med Care. 2005;43:1130–9. doi: 10.1097/01.mlr.0000182534.19832.83. [DOI] [PubMed] [Google Scholar]
- Rachakonda TD, Schupp CW, Armstrong AW. Psoriasis prevalence among adults in the United States. J Am Acad Dermatol. 2014;70:512–6. doi: 10.1016/j.jaad.2013.11.013. [DOI] [PubMed] [Google Scholar]
- Robst J, Levy JM, Ingber MJ. Diagnosis-based risk adjustment for medicare prescription drug plan payments. Health Care Financ Rev. 2007;28:15–30. [PMC free article] [PubMed] [Google Scholar]
- Romanelli P, Cavallin LE, Weiss J, et al. A unique psoriasis biologics clinic serving underprivileged patients in the United States. J Am Acad Dermatol. 2015;72:184–5. doi: 10.1016/j.jaad.2014.08.002. [DOI] [PubMed] [Google Scholar]
- Schmajuk G, Trivedi AN, Solomon DH, et al. Receipt of disease-modifying antirheumatic drugs among patients with rheumatoid arthritis in Medicare managed care plans. JAMA. 2011;305:480–6. doi: 10.1001/jama.2011.67. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Seminara NM, Abuabara K, Shin DB, et al. Validity of The Health Improvement Network (THIN) for the study of psoriasis. Br J Dermatol. 2011;164:602–9. doi: 10.1111/j.1365-2133.2010.10134.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Shaw MK, Davis SA, Feldman SR, et al. Trends in systemic psoriasis treatment therapies from 1993 through 2010. J Drugs Dermatol. 2014;13:917–20. [PubMed] [Google Scholar]
- Shbeeb M, Uramoto KM, Gibson LE, et al. The epidemiology of psoriatic arthritis in Olmsted County, Minnesota, USA, 1982-1991. J Rheumatol. 2000;27:1247–50. [PubMed] [Google Scholar]
- Solomon DH, Ayanian JZ, Yelin E, et al. Use of disease-modifying medications for rheumatoid arthritis by race and ethnicity in the National Ambulatory Medical Care Survey. Arthritis Care Res. 2012;64:184–9. doi: 10.1002/acr.20674. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Sundquist J, Winkleby MA, Pudaric S. Cardiovascular disease risk factors among older black, Mexican-American, and white women and men: an analysis of NHANES III, 1988-1994. Third National Health and Nutrition Examination Survey. J Am Geriatr Soc. 2001;49:109–16. doi: 10.1046/j.1532-5415.2001.49030.x. [DOI] [PubMed] [Google Scholar]
- von Elm E, Altman DG, Egger M, et al. The Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) statement: guidelines for reporting observational studies. Lancet. 2007;370:1453–7. doi: 10.1016/S0140-6736(07)61602-X. [DOI] [PubMed] [Google Scholar]
- Wan J, Wang S, Haynes K, et al. Risk of moderate to advanced kidney disease in patients with psoriasis: population based cohort study. BMJ. 2013;347:f5961. doi: 10.1136/bmj.f5961. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Wilson FC, Icen M, Crowson CS, et al. Incidence and clinical predictors of psoriatic arthritis in patients with psoriasis: a population-based study. Arthritis Rheum. 2009;61:233–9. doi: 10.1002/art.24172. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Wu JJ, Poon KY, Channual JC, et al. Association Between Tumor Necrosis Factor Inhibitor Therapy and Myocardial Infarction Risk in Patients With Psoriasis. Arch Dermatol. 2012:1–7. doi: 10.1001/archdermatol.2012.2502. [DOI] [PubMed] [Google Scholar]
- Yentzer BA, Yelverton CB, Simpson GL, et al. Paradoxical effects of cost reduction measures in managed care systems for treatment of severe psoriasis. Dermatol Online J. 2009;15:1. [PubMed] [Google Scholar]
- Yeung H, Takeshita J, Mehta NN, et al. Psoriasis severity and the prevalence of major medical comorbidity: a population-based study. JAMA Dermatol. 2013;149:1173–9. doi: 10.1001/jamadermatol.2013.5015. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Zaslavsky AM, Ayanian JZ, Zaborski LB. The validity of race and ethnicity in enrollment data for Medicare beneficiaries. Health Serv Res. 2012;47:1300–21. doi: 10.1111/j.1475-6773.2012.01411.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Zhang J, Xie F, Delzell E, et al. Trends in the use of biologic agents among rheumatoid arthritis patients enrolled in the US medicare program. Arthritis Care Res. 2013;65:1743–51. doi: 10.1002/acr.22055. [DOI] [PubMed] [Google Scholar]
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