Abstract
Objectives
We assessed comorbidities associated with psoriatic arthritis in a broad cohort of US-insured adult patients using the Truven Health Analytics MarketScan Database.
Methods
Prevalence and incidence rates were assessed for 28 comorbid conditions among adult patients in the MarketScan database with a diagnosis of psoriatic arthritis and having two or more health claims for psoriatic arthritis between 1 July 2008 and 31 July 2015. Findings were compared with those of a similar, previously published analysis of patients with psoriasis.
Results
Among a total of 186 552 patients with a diagnosis of psoriatic arthritis, 94 302 had two or more health claims for psoriatic arthritis during the study period and were included in the comorbidity analysis. The prevalence and incidence rates of the most common comorbidities were 47.5% and 35.0% for hyperlipidaemia, respectively; 47.3% and 31.3% for hypertension; 21.2% and 15.4% for depression; 20.2% and 13.5% for type 2 diabetes mellitus; and 16.6% and 12.4% for fibromyalgia. Patients with psoriatic arthritis had notably higher incidence rates of uveitis, fibromyalgia, osteoporosis, Crohn’s disease and non-alcoholic liver disease than patients with psoriasis.
Conclusion
This observational retrospective analysis using the MarketScan database provides real-world health claims data on the prevalence and incidence of comorbidities in a large US patient population with psoriatic arthritis. The observed high cardiometabolic comorbidity rates align with those reported in the literature and may help healthcare providers in the comprehensive management of patients with psoriatic arthritis.
Keywords: psoriatic arthritis, dmards (biologic), dmards (synthetic), cardiovascular disease
Key messages.
What is already known about this subject?
Psoriatic arthritis is associated with comorbidities that can influence treatment decisions and management strategies.
Prevalence and incidence rates of comorbidities associated with psoriatic arthritis have not been fully characterised.
What does this study add?
This observational retrospective analysis using the MarketScan database provides real-world health claims data on the prevalence and incidence of comorbidities in a large US patient population with psoriatic arthritis.
How might this impact on clinical practice?
Understanding the prevalence and incidence of comorbidities can aid healthcare professionals in the comprehensive management of patients with psoriatic arthritis.
Introduction
Psoriatic arthritis is a chronic, inflammatory musculoskeletal disease that has multiple manifestations, including psoriasis. Increasing evidence supports the association between psoriatic arthritis and multiple comorbidities, including obesity, metabolic syndrome, cardiovascular disease, cerebrovascular disease and peripheral vascular disease.1 Some studies have provided the rate of selected comorbidities in patients with psoriasis2–4; however, fewer studies have been conducted in patients with psoriatic arthritis. In particular, rates of comorbidities in US patients with psoriatic arthritis have not been fully characterised.
Comorbidity rates may be determined using various approaches, including randomised trials or studies using postmarketing surveillance, registry or medical claims data; each approach has its strengths and weaknesses. The study populations included in randomised clinical trials often do not represent the broader, real-world populations.5 Postmarketing surveillance data consist of spontaneously reported adverse events that are often affected by under-reporting bias.6–8 Patient registries address some of these issues, providing more robust information, but they often capture data from studies with limited sample sizes and study durations.9
Medical insurance claims databases can be used to study large populations of patients afflicted with a specific disease and provide an effective means to assess comorbidity-related event rates in real-world populations. This study used a large insurance claims database to gain an understanding of the rate of comorbidities in a broad population-based cohort of adult patients with psoriatic arthritis.
Methods
Data source
Using the Truven Health Analytics MarketScan Database (Truven Health Analytics, an IBM company, Ann Arbor, Michigan, USA), health insurance claims from insured individuals were examined from 1 July 2008 through 31 July 2015. The database contains US administrative claims for commercially insured, working-age adults and their dependents, as well as individuals with Medicare supplemental insurance paid for by employers. Employer-provided data allow for tracking across health plans and, overall, contain administrative claims and eligibility records for approximately 230 million patient-lives since 1995.10 Enrolment records contain demographic information, including age, sex and geographical region. Medical claims files include inpatient, outpatient, facility and service claims records. The database is compliant with the Health Insurance Portability and Accountability Act and contains synthetic identifiers to protect the privacy of all patients and data contributors.
Study population
Adult patients (≥18 years of age) who were diagnosed with psoriatic arthritis using the International Classification of Diseases, 9th Revision, Clinical Modification (ICD-9-CM) code 696.0x,11 with the first diagnosis claim between 1 July 2008 and 30 June 2014 and at least one additional psoriatic arthritis-related claim on or before 31 July 2015, were included in the study. The first diagnosis claim was set as the index date. Patients meeting the inclusion criteria are referred to as the psoriatic arthritis population. In addition, patients with psoriatic arthritis who met a minimum continuous health plan enrolment from 6 months before the index date through 6 months after the index date were selected and are referred to as the continuously enrolled population. Patients were studied until loss of insurance eligibility or the end of the study period.
Study outcomes
The 28 outcomes chosen for this study reflect a broad spectrum of comorbid conditions (table 1). The ICD-9-CM codes chosen for the study outcomes were based on medical judgement or had been used in the literature previously. The ICD-9-CM codes for acute myocardial infarction (MI),12 stroke13 and depression14 have been validated, and the ICD-9-CM codes for infections have been used previously.15 Acute MI was determined using the primary diagnosis code for inpatient diagnoses. Stroke and infections were determined based on any inpatient diagnosis. Other outcomes were determined based on at least one diagnosis in any claim (see online supplementary table 1 for a complete list of codes and diagnosis claims considered).12–17
Table 1.
Comorbid conditions selected for outcomes in patients with psoriatic arthritis
| Comorbid conditions | |
| Acute myocardial infarction | Ischaemic stroke |
| Atherosclerosis | Non-melanoma skin cancer |
| Cardiac dysrhythmias | Non-alcoholic liver disease |
| Cerebrovascular diseases | Major depression |
| Chronic renal insufficiency | Major depression, suicide and suicidal ideation |
| Crohn’s disease | Osteoporosis |
| Congestive heart failure | Obesity |
| Depression | Peripheral vascular disease |
| Fibromyalgia | Solid tumours (including melanoma) |
| Gout | Stroke |
| Haematological malignancies | Type 2 diabetes mellitus |
| Hyperlipidaemia | Ulcerative colitis |
| Hypertension | Uveitis |
| Infections | |
| Ischaemic heart disease | |
rmdopen-2017-000588supp001.docx (21.4KB, docx)
Analysis
Continuous variables were summarised using mean and SD, and the discrete data were summarised using counts and percentages. Estimates for prevalence (%) and incidence (%) rates of the comorbidities were determined. Prevalence was defined as the proportion of occurrences of the specific comorbidity-related event during the study period divided by the total population. Incidence was defined as the proportion of new occurrences of the specific comorbidity divided by the population at risk for developing the comorbidity after the index date (ie, patients who had a claim for the comorbidity before the index date were excluded). In addition, the incidence (new occurrences of the specific comorbidity) per patient time (presented as per 100 patient-years) is provided, where patient time is the total years at risk that all patients contributed to the study. Included here are selected findings from an identically designed analysis of the MarketScan database performed in patients with psoriasis (identified through ICD-9-CM code 696.1)18 19 with the same index date and inclusion criteria that were used to identify patients with psoriatic arthritis in the current analysis. Portions of the findings in patients with psoriasis have been published.19 The ratio of the incidence rates per 100 patient-years for psoriasis19 and psoriatic arthritis was determined, along with the 95% confidence limits established using the Poisson distribution.
Results
Patients
The MarketScan database had 186 552 patients with at least one claim for a diagnosis of psoriatic arthritis between 1 January 2008 and 31 December 2014. Of these, 94 302 patients qualified for inclusion in the psoriatic arthritis population, and 47 438 patients met the continuous enrolment criteria. In the psoriatic arthritis population, 53.6% of the patients were female and the median age was 52 years. In each cohort, the numbers of patients diagnosed each year were similar, except for 2008 and 2014, which had fewer patients because the index date for the cohort was selected to allow the potential of 6 months of data before and after the index date (see online supplementary table 2 for demographic characteristics). The total follow-up for the psoriatic arthritis population was 150 626 patient-years, which represents an average of approximately 1.5 years per patient. Approximately one-third of patients were taking biologics at baseline, and 40% and 46% of patients were taking disease-modifying antirheumatic drugs and non-steroidal anti-inflammatory drugs, respectively (table 2).
Table 2.
Therapeutic usage* among patients with psoriatic arthritis by drug class
| Drug classification | Psoriatic arthritis population (n=94 302) | |
| n† | % | |
| Biologics‡ | 31 308 | 33.20 |
| DMARDs§ | 38 099 | 40.40 |
| NSAIDs | 43 194 | 45.80 |
| Steroids | 56 915 | 60.35 |
*Treatments used on or after the index date (first diagnosis of psoriatic arthritis).
†Number of patients who received one or more therapies. Patients who received more than one therapy are included for each therapy class received.
‡Also known as biologic DMARDs.
§Include conventional oral DMARDs, including conventional synthetic DMARDs and the targeted synthetic DMARDs tofacitinib and apremilast.
DMARDs, disease-modifying antirheumatic drugs; NSAIDs, non-steroidal anti-inflammatory drugs.
Comorbidities
The prevalence and incidence rates of the selected comorbidities in each cohort of patients with psoriatic arthritis are shown in table 3. Among patients in the psoriatic arthritis population, the most prevalent comorbidities (>10% of patients) were hyperlipidaemia (47.5%), hypertension (47.3%), depression (21.2%), type 2 diabetes mellitus (20.2%), fibromyalgia (16.6%), obesity (16.5%), ischaemic heart disease (11.6%) and cardiac dysrhythmias (10.4%). Incidence rates and incidence rates per 100 patient-years exhibited patterns of frequency ranking that were closely similar to prevalence rates. Table 4 presents the prevalence rates of comorbidities related to metabolic syndrome (eg, hyperlipidaemia, hypertension, type 2 diabetes mellitus, obesity) as observed currently and side by side with those in previously published reports,20–22 as well as in the general US adult population.23–26 Prevalence rates for these conditions were generally similar to prior reports in patients with psoriatic arthritis, except for obesity, which had a somewhat lower prevalence among the current patient cohort. Comorbidities related to metabolic syndrome were generally greater in the current cohort and in prior reports than in the general US population, with the exception of obesity, which is estimated to affect 36.5% of US adults.25
Table 3.
Prevalence and incidence rates of comorbidities observed among patients with psoriatic arthritis
| Comorbid condition† | Psoriatic arthritis population (n=94 302) |
Continuously enrolled population* (n=47 438) | Psoriatic arthritis population (n=94 302) |
Continuously enrolled population* (n=47 438) |
||
| Prevalence‡, n (%) | Incidence§, n (%) | Rate per 100 patient-years | Incidence§, n (%) | Rate per 100 patient-years |
||
| Hyperlipidaemia¶ | 44 768 (47.47) | 23 811 (50.19) | 23 156 (35.0) | 27.11 | 8202 (30.02) | 21.31 |
| Hypertension¶ | 44 583 (47.28) | 23 447 (49.43) | 20 599 (31.25) | 23.91 | 6773 (24.25) | 17.15 |
| Depression | 19 995 (21.2) | 10 656 (22.46) | 12 853 (15.44) | 10.16 | 5671 (14.34) | 9.50 |
| Type 2 diabetes mellitus¶ | 19 037 (20.19) | 10 036 (21.16) | 11 794 (13.49) | 8.72 | 5558 (13.14) | 8.57 |
| Fibromyalgia | 15 635 (16.58) | 8306 (17.51) | 10 453 (12.36) | 8.07 | 4848 (11.96) | 7.94 |
| Obesity¶ | 15 510 (16.45) | 8331 (17.56) | 8742 (10.65) | 7.05 | 3425 (8.69) | 5.78 |
| Ischaemic heart disease¶ | 10 918 (11.58) | 6005 (12.66) | 7256 (8.10) | 5.19 | 3704 (8.44) | 5.54 |
| Cardiac dysrhythmias¶ | 9756 (10.35) | 5510 (11.62) | 6819 (7.73) | 5.01 | 3022 (7.05) | 4.66 |
| Osteoporosis | 8802 (9.33) | 4665 (9.83) | 6415 (7.16) | 4.63 | 3017 (6.85) | 4.56 |
| Peripheral vascular disease | 7298 (7.74) | 4202 (8.86) | 6275 (6.91) | 4.40 | 3352 (7.49) | 4.94 |
| Infections** | 7159 (7.59) | 4058 (8.55) | 5656 (6.26) | 3.98 | 2967 (6.66) | 4.37 |
| Cerebrovascular disease¶ | 6903 (7.32) | 3953 (8.33) | 5478 (6.02) | 3.84 | 2829 (6.31) | 4.14 |
| Major depression | 6686 (7.09) | 3655 (7.7) | 4730 (5.14) | 3.27 | 2391 (5.23) | 3.43 |
| Solid tumours, including melanoma | 5963 (6.32) | 3340 (7.04) | 4343 (4.80) | 3.04 | 2098 (4.69) | 3.08 |
| Gout | 5673 (6.02) | 3278 (6.91) | 3757 (4.12) | 2.62 | 1789 (3.97) | 2.60 |
| Non-alcoholic liver disease | 5440 (5.77) | 2930 (6.18) | 3587 (3.88) | 2.46 | 1780 (3.86) | 2.53 |
| Chronic renal insufficiency | 4867 (5.16) | 2637 (5.56) | 3466 (3.85) | 2.44 | 1777 (4.00) | 2.63 |
| Non-melanoma skin cancers | 3707 (3.93) | 2069 (4.36) | 3041 (3.29) | 2.08 | 1548 (3.36) | 2.21 |
| Congestive heart failure | 3698 (3.92) | 2157 (4.55) | 2852 (3.07) | 1.94 | 1539 (3.32) | 2.18 |
| Atherosclerosis¶ | 3355 (3.56) | 1942 (4.09) | 2803 (3.02) | 1.91 | 1524 (3.3) | 2.16 |
| Uveitis | 1466 (1.55) | 790 (1.67) | 949 (1.02) | 0.64 | 424 (0.91) | 0.59 |
| Ulcerative colitis | 1206 (1.28) | 656 (1.38) | 801 (0.86) | 0.54 | 365 (0.778) | 0.51 |
| Haematological malignancies | 1079 (1.14) | 604 (1.27) | 771 (0.82) | 0.52 | 412 (0.88) | 0.57 |
| Crohn’s disease | 1070 (1.13) | 604 (1.27) | 626 (0.67) | 0.42 | 303 (0.64) | 0.42 |
| Acute myocardial infarction**†† | 524 (0.56) | 292 (0.62) | 506 (0.54) | 0.34 | 281 (0.59) | 0.39 |
| Suicide and suicidal ideation | 453 (0.48) | 253 (0.53) | 434 (0.46) | 0.29 | 245 (0.52) | 0.34 |
| Any stroke**‡‡ | 445 (0.47) | 255 (0.54) | 420 (0.45) | 0.28 | 234 (0.49) | 0.32 |
| Ischaemic stroke**‡‡ | 342 (0.36) | 198 (0.42) | 332 (0.35) | 0.22 | 189 (0.40) | 0.26 |
*Continuous enrolment with a minimum of 12 months: 6 months before the index date and 6 months after the index date.
†Includes all claims and any diagnosis field unless specified otherwise.
‡Prevalence is the proportion of occurrences for the specific comorbidity during the study period divided by the total population.
§Incidence is the proportion of new occurrences of the specific comorbidity divided by the population at risk for developing the comorbidity after the index date (ie, patients who had a claim for the comorbidity before the index date are excluded).
¶Medical conditions that can be associated with an increased risk of major adverse cardiac event.
**Includes only serious medical conditions (ie, those with an inpatient diagnosis).
††Acute myocardial infarction was based on the inpatient primary discharge diagnosis claims (ie, the primary discharge diagnosis).
‡‡Cases that likely represent a major adverse cardiac event.
Table 4.
Prevalence of metabolic syndrome comorbidity in patients with psoriatic arthritis: comparison with literature and the general US population
| Outcome, % | Continuously enrolled population | Merola et al 31* | Han et al 20† | Feldman et al 21‡ | Husted et al 22§ | US general population23–26 | |
| Psoriatic arthritis and moderate to severe psoriasis | Psoriatic arthritis/minimal skin | ||||||
| Hyperlipidaemia¶ | 47.5 | 55.3 | 53.8 | 27.8 | 34.6 | 20.7 | 12.1 |
| Hypertension | 47.3 | 51.0 | 49.7 | 28.5 | 35.8 | 37.1 | 25.0 |
| Type 2 diabetes mellitus¶ | 20.2 | 21.2 | 20.0 | 11.3 | 12.0 | 9.4 | |
| Obesity | 16.5 | 21.5 | 15.9 | NA | 30 (BMI ≥30 kg/m2) | 36.5 | |
*Merola et al reported on two groups of patients with psoriatic arthritis selected from the MarketScan database: patients with moderate to severe psoriasis and those with only minimal skin involvement.
†Han et al reported on 3066 patients with psoriatic arthritis who were selected from the PharMetrics’ Patient-Centric Database, which contains fully adjudicated medical service claims from health plans across the USA. Age-adjusted and sex-adjusted.
‡Feldman et al reported on 1230 US patients with psoriasis and comorbid psoriatic arthritis selected from the OptumHealth Reporting and Insights claims database.
§Husted et al reported on 611 patients with psoriatic arthritis selected from the University of Toronto Psoriatic Arthritis Clinic.
¶Merola et al reported on dyslipidaemia and diabetes versus type 2 diabetes mellitus specifically.
BMI, body mass index; NA, not applicable.
Comparison with patients with psoriasis
Table 5 shows the comparison of the incidence rates of comorbidities per 100 patient-years for patients with psoriatic arthritis and an identically designed analysis of MarketScan data for patients with psoriasis.19 Incidence rates of fibromyalgia, gout and ulcerative colitis per 100 patient-years in patients with psoriasis were not included in the MarketScan psoriasis analysis publication. However, to provide comparison with all the comorbidities identified in the psoriatic arthritis analysis, we also examined and report here the incidence rates of these additional comorbidities in the psoriasis population (table 5). Compared with patients with psoriasis, those with psoriatic arthritis exhibited a higher incidence rate of nearly all comorbidities examined. Based on the analysis of the psoriatic arthritis population, the greatest disparities in incidence rate per 100 patient-years among patients with psoriatic arthritis versus patients with psoriasis were seen for uveitis (103% increase), fibromyalgia (77% increase), osteoporosis (75% increase), Crohn’s disease (58% increase) and non-alcoholic liver disease (50% increase) (table 5).
Table 5.
Comparison of incidence rates of comorbidities observed among patients with psoriatic arthritis and psoriasis
| Comorbidity | Full population (incidence per 100 patient-years) |
Continuously enrolled population (incidence per 100 patient-years) |
||||
| Psoriatic arthritis (n=94 302) |
Psoriasis19
(n=469 097) |
Ratio* (95% CI) | Psoriatic arthritis (n=47 438) |
Psoriasis19
(n=292 999) |
Ratio* (95% CI) | |
| Hyperlipidaemia | 27.11 | 21.70 | 1.25 (1.23 to 1.27) | 21.31 | 18.81 | 1.13 (1.11 to 1.16) |
| Hypertension | 23.91 | 16.39 | 1.46 (1.44 to 1.48) | 17.15 | 13.49 | 1.27 (1.24 to 1.30) |
| Depression | 10.16 | 7.78 | 1.31 (1.28 to 1.33) | 9.50 | 7.36 | 1.29 (1.25 to 1.33) |
| Obesity | 8.72 | 7.02 | 1.24 (1.22 to 1.27) | 8.57 | 6.81 | 1.26 (1.22 to 1.30) |
| Fibromyalgia† | 8.07 | 4.55 | 1.77 (1.73 to 1.81) | 7.94 | 4.58 | 1.73 (1.68 to 1.79) |
| Type 2 diabetes mellitus | 7.05 | 5.18 | 1.36 (1.33 to 1.39) | 5.78 | 4.59 | 1.26 (1.21 to 1.30) |
| Cardiac dysrhythmias | 5.19 | 4.47 | 1.16 (1.13 to 1.19) | 5.54 | 4.65 | 1.19 (1.15 to 1.23) |
| Ischaemic heart disease | 5.01 | 4.06 | 1.23 (1.20 to 1.27) | 4.66 | 3.90 | 1.20 (1.15 to 1.24) |
| Osteoporosis | 4.63 | 2.65 | 1.75 (1.70 to 1.80) | 4.56 | 2.74 | 1.67 (1.60 to 1.73) |
| Infections | 4.40 | 3.55 | 1.24 (1.21 to 1.27) | 4.94 | 3.80 | 1.30 (1.25 to 1.35) |
| Peripheral vascular disease | 3.98 | 3.42 | 1.16 (1.13 to 1.20) | 4.37 | 3.62 | 1.21 (1.16 to 1.25) |
| Cerebrovascular disease | 3.84 | 3.45 | 1.11 (1.08 to 1.14) | 4.14 | 3.64 | 1.14 (1.09 to 1.18) |
| Non-alcoholic liver disease | 3.27 | 2.18 | 1.50 (1.45 to 1.55) | 3.43 | 2.13 | 1.61 (1.54 to 1.68) |
| Major depression | 3.04 | 2.26 | 1.35 (1.30 to 1.39) | 3.08 | 2.21 | 1.39 (1.33 to 1.46) |
| Solid tumours, including melanoma | 2.62 | 2.53 | 1.03 (1.00 to 1.07) | 2.60 | 2.49 | 1.05 (1.00 to 1.10) |
| Chronic renal insufficiency | 2.46 | 1.87 | 1.31 (1.27 to 1.36) | 2.53 | 1.95 | 1.29 (1.23 to 1.36) |
| Gout† | 2.44 | 1.71 | 1.43 (1.37 to 1.48) | 2.63 | 1.69 | 1.55 (1.47 to 1.64) |
| Non-melanoma skin cancers | 2.08 | 2.35 | 0.88 (0.85 to 0.92) | 2.21 | 2.51 | 0.88 (0.83 to 0.93) |
| Congestive heart failure | 1.94 | 1.66 | 1.17 (1.12 to 1.22) | 2.18 | 1.78 | 1.22 (1.16 to 1.29) |
| Atherosclerosis | 1.91 | 1.87 | 1.02 (0.98 to 1.06) | 2.16 | 2.02 | 1.07 (1.01 to 1.13) |
| Uveitis | 0.64 | 0.32 | 2.03 (1.88 to 2.19) | 0.59 | 0.32 | 1.86 (1.67 to 2.07) |
| Ulcerative colitis† | 0.54 | 0.43 | 1.26 (1.17 to 1.36) | 0.51 | 0.41 | 1.24 (1.11 to 1.39) |
| Haematological malignancies | 0.52 | 0.45 | 1.14 (1.05 to 1.23) | 0.57 | 0.46 | 1.25 (1.12 to 1.39) |
| Crohn’s disease | 0.42 | 0.26 | 1.58 (1.45 to 1.73) | 0.42 | 0.24 | 1.75 (1.55 to 1.99) |
| Acute myocardial infarction | 0.34 | 0.49 | 0.68 (0.62 to 0.75) | 0.39 | 0.56 | 0.70 (0.62 to 0.79) |
| Suicide and suicidal ideation | 0.28 | 0.22 | 1.25 (1.12 to 1.39) | 0.32 | 0.23 | 1.43 (1.24 to 1.65) |
| Any stroke | 0.29 | 0.31 | 0.93 (0.84 to 1.03) | 0.34 | 0.36 | 0.95 (0.83 to 1.09) |
| Ischaemic stroke | 0.22 | 0.24 | 0.93 (0.83 to 1.05) | 0.26 | 0.27 | 0.97 (0.83 to 1.12) |
*Ratio is psoriatic arthritis/psoriasis incidence rates, where a ratio >1 indicates that patients with psoriatic arthritis have greater incidence.
†Gout, fibromyalgia and ulcerative colitis rates are not reported in the psoriasis MarketScan publication.19
Discussion
The psoriatic disease process, with signs and symptoms that may involve joints (psoriatic arthritis) and skin (psoriasis), is driven by chronic, immune-mediated, systemic inflammation.3 27 Because underlying inflammatory processes may increase the risk of comorbid conditions,3 a better understanding of that risk may aid physicians in managing patients with psoriatic arthritis and psoriasis. In this study of a very large, population-based cohort of patients with psoriatic arthritis, the most common comorbidities were hyperlipidaemia, hypertension, depression, type 2 diabetes mellitus, obesity, ischaemic heart disease, fibromyalgia and cardiac dysrhythmias. These results in a US-insured population are comparable with previously published literature in patients with psoriatic arthritis and select comorbidities examined in other US and Canadian populations using other methodology.20–22
In patients with psoriatic arthritis, many of the most common comorbidities identified in the current analysis are related to metabolic syndrome, including hyperlipidaemia, hypertension, type 2 diabetes mellitus and obesity. The heightened risk of metabolic syndrome has been identified in patients with psoriatic disease,4 28 and metabolic syndrome, in turn, is a known risk factor for heart disease and stroke.29 The rates of these comorbidities have also been studied by others (table 4).20–22 Generally, prevalence magnitudes are similar among the reported analyses, although the results using the largest populations and the MarketScan database tend to have the highest prevalence rates. Compared with the general US adult population, prevalence of these comorbidities is markedly greater in patients with psoriatic arthritis (table 4). For example, diabetes mellitus is estimated to affect 9.4% of the general US population, and 90%–95% of these cases comprise type 2 diabetes mellitus.23 In the current study, 20.2% of patients with psoriatic arthritis had type 2 diabetes mellitus. Likewise, in Canadian patients with psoriatic arthritis, the prevalence of diabetes mellitus has been found to be 43% higher than in the general population.30 The notable exception is obesity, which is estimated to affect 36.5% of US adults,25 but in the current cohort was identified in 16.5% of patients.
The prevalence of obesity may be difficult to study in health claims databases. In our analysis and in the analysis reported by Merola et al,31 both using the MarketScan database, the results for obesity were lower than that reported elsewhere.20–22 In patients selected from the Toronto and Vancouver sites in the International Psoriasis and Arthritis Research Team database, the proportions of patients with obesity (≥30 kg/m2) in the psoriatic arthritis and general populations were 37% and 18%, respectively.32 Husted and colleagues22 reported an obesity rate of 30% in patients with psoriatic arthritis. Physicians may not include obesity as a diagnosis because it most likely is not the reason patients sought or paid for medical services at that visit.
The prevalence rate of acute MI in the psoriatic arthritis population in this study was 0.56%, and the incidence per 100 patient-years was 0.34; by contrast, the incidence of acute MI per 100 patient-years was greater among patients with psoriasis (0.49).19 In both psoriatic populations, the incidence of acute MI is greater than in the general US population (0.17%).33 Information reported in the literature is limited regarding the prevalence of MI in patients with psoriatic arthritis. In an analysis of the University of Toronto psoriatic arthritis clinical database, Gladman and colleagues34 reported 50 MIs in 648 registered patients (7.7%), including events before study entry. Feldman and coworkers21 reported the prevalence of acute MI in 0.57% (7/1230) of patients with psoriasis and comorbid psoriatic arthritis. In a prospective cohort study of patients with psoriatic arthritis, Eder et al 35 concluded that the level of disease activity and extent of systemic inflammation were independent factors of cardiovascular events, in addition to traditional cardiovascular risk factors. It has been reported in the literature that the use of tumour necrosis factor inhibitors may be associated with a reduced risk of adverse cardiovascular events, although the authors recognised that well-controlled randomised studies would be needed to evaluate the exact cardiovascular effects.36 It is interesting to note that, in the current analysis, use of biologics was greater in the psoriatic arthritis population than in the psoriasis population19 (table 2).
In this study, the prevalence of cerebrovascular disease in the psoriatic arthritis population was 7.3%, and the prevalence of any stroke was 0.47%. Merola et al 31 reported the prevalence of cerebrovascular disease ranged from 6.2% to 6.7% for patients with psoriatic arthritis and psoriasis, but stroke was not mentioned specifically. Similar to other comorbid conditions, the prevalence of stroke in patients with psoriatic arthritis and psoriasis was higher in our study than in the general US population (2.5%).24
In the analysis reported here, the prevalence of depression in the psoriatic arthritis population was 21%, which is greater than in the US general population (7.6%),37 but similar to that reported by Merola et al 31 in patients with psoriatic arthritis and moderate to severe psoriasis (23.2%) and in patients with psoriatic arthritis and minimal skin involvement (20.1%). The prevalence of major depression in our study ranged from 7% to 8%. McDonough and colleagues38 also observed a similar prevalence of depression among 306 patients with psoriatic arthritis attending psoriatic arthritis and dermatology clinics at Toronto Western Hospital.
For the current analysis, we chose to identify cases of malignancies based on a patient having only one claim with a malignancy-related diagnosis code. Prevalence of malignancies in the psoriatic arthritis population included 6.32%, 3.93% and 1.14% of patients with solid tumours (including melanoma), non-melanoma skin cancer (NMSC) and haematological malignancies, respectively. A prospective study by Rohekar et al,39 which reported the results from an additional 14-year analysis of the University of Toronto psoriatic arthritis clinical database, found that malignancy developed in 68 of 665 (10.2%) patients with psoriatic arthritis. Feldman and coworkers reported a prevalence of 2.2% (27/1230) for NMSC and 2.0% (25/1230) for other malignancies.21 In a study of 2970 patients with psoriatic arthritis included in the Consortium of Rheumatology Researchers of North America registry, the adjudicated incidence rates of NMSC, solid tumours and haematological tumours were 0.5% (15/2970; 0.21 per 100 patient-years), 0.67% (20/2970; 0.28 per 100 patient-years) and 0.17% (5/2970; 0.07 per 100 patient-years), respectively.40 The annual incidence of any type of malignancy in the general US population is estimated at 0.44%.41 Such findings suggest that the incidence of malignancy varies widely and depends on the approach to detecting and verifying such events. Differences in reported incidences may be due to differences in sample size, unknown registry inclusion/exclusion criteria, differences in provider type (eg, university-affiliated clinics vs all community practitioners) and coding inconsistencies. Notably, the lowest reported malignancy incidence rate in patients with psoriatic arthritis was described when events were adjudicated, perhaps indicating that accurate detection requires clinical verification and validation with a larger cohort. Given these discrepancies, further validation to identify true prevalence or incidence rates of malignancies in psoriatic arthritis is needed.
The prevalence of fibromyalgia (16.6%) in our study aligns with the study by Brikman and colleagues.42
Notable differences in comorbidity rates between patients with psoriatic arthritis in this study (n=94 302) and patients with psoriasis in an identically designed analysis of MarketScan data (n=469 097)19 have been observed for depression, type 2 diabetes mellitus, osteoporosis, serious infections, NMSC, suicide and suicidal ideation, fibromyalgia, ulcerative colitis, gout, non-alcoholic liver disease, acute MI, uveitis and major depression. Despite the greater published focus and research on depression associated with psoriasis, the higher rate of depression in patients with psoriatic arthritis compared with psoriasis based on the current analysis was also observed by McDonough and coworkers.38
Except for acute MI and NMSC, patients with psoriatic arthritis had higher rates of comorbidities than patients with psoriasis, although it is important to recognise that within the psoriasis population, some of the patients may also have had psoriatic arthritis.19 A potential factor associated with these differences may be the different treatment paradigms for the two conditions. Lim and Stern studied the relationship between skin cancer and ultraviolet B (UVB) therapy in a safety study of psoralen plus ultraviolet A therapy, concluding that for patients with high UVB exposure levels, UVB confers a modest increase in NMSC risk.43 Additional research is needed to evaluate whether psoriatic arthritis is an independent risk factor for acute MI and NMSC comorbidities.
Limitations
While large retrospective databases such as the one used for the current analysis have broad cohorts of patients representing a real-world population, limitations must be considered; these limitations have been previously published.44 The selected populations may not be reflective of the age distribution of the psoriatic arthritis population because the MarketScan database contains only claims from a US commercially insured population and healthcare claims from individuals with Medicare supplemental insurance paid for by employers. In addition, the psoriasis population may include patients who also have claims for psoriatic arthritis. The claim information could be subject to misclassifications, as the primary purpose is reimbursement, leading to potentially inaccurate identification of patients’ conditions. There is no single correct definition of an outcome (ICD-9-CM codes used), and each definition has its own pros and cons, with some typically more sensitive or more specific than others. Some differences in the prevalence rates in our study compared with research conducted by others most likely are a result of differences in the study design, that is, selection of ICD-9-CM codes, study period and selection of diagnosis fields. The comparison of the comorbidity rates with the general US population based on references is a limitation of the analysis; it would have been best to have selected a control group from the MarketScan database. In the future, a database that coordinates medical records, such as the UK Clinical Practice Research Datalink data set, which contains high-quality longitudinal person-specific records that enable drug safety and outcomes research, may become available in the USA and would provide greater opportunities for outcome research in large population-based studies.
Summary
This observational retrospective analysis of a large administrative health claims database assessed the real-world prevalence and incidence of comorbidities in a large cohort of patients diagnosed with psoriatic arthritis in the USA. The results are important, as information in the literature is limited regarding the prevalence and incidence of comorbidities in the US patient population with psoriatic arthritis, and real-world evidence will be helpful to healthcare providers who manage the care of these patients. These findings, which are consistent with other reports in the literature, demonstrate that a substantial proportion of patients with psoriatic arthritis have comorbid conditions that may confer additional health risks and may influence the choice of treatment.
Conclusion
Health claims databases provide a unique opportunity and are a valuable resource for estimating the prevalence and incidence of comorbid diseases in large, diverse patient populations. Our study highlights the need to assess possible comorbid conditions in patients with psoriatic disease and to incorporate that information into treatment considerations and outcomes.
rmdopen-2017-000588supp002.docx (14.4KB, docx)
Footnotes
Contributors: KS, MP, LM, AC and PJM conceived and designed the experiments. KS, LM, AC and PJM were involved in the acquisition, analysis and interpretation of the data. All authors were involved in drafting the article or revising it critically for important intellectual content, and all authors approved the final version to be submitted for publication.
Funding: This study was sponsored by Celgene Corporation. The authors received editorial support in the preparation of the manuscript from Peloton Advantage, funded by Celgene Corporation. The authors, however, wrote, directed and are fully responsible for all content and editorial decisions related to the development of the manuscript.
Competing interests: KS was an employee of Celgene Corporation at the time of study conduct and had access to stocks, stock options and restricted stock units in Celgene Corporation. MP is an employee of Celgene Corporation. LM and AC were contractors for Celgene Corporation at the time of study conduct. PJM has received grant/research support and has served as a consultant for AbbVie, Amgen, Biogen Idec, Bristol-Myers Squibb, Celgene Corporation, Janssen Pharmaceutical, Eli Lilly and Company, Novartis Pharmaceuticals, Pfizer, Sun Pharmaceutical and UCB, and has served on a speakers bureau for AbbVie, Amgen, Biogen Idec, Bristol-Myers Squibb, Celgene Corporation, Genentech, Janssen Pharmaceutical, Eli Lilly and Company, Pfizer and UCB.
Provenance and peer review: Not commissioned; externally peer reviewed.
Data sharing statement: All authors had full access to all the data, and the data are available upon request.
References
- 1. Ogdie A, Schwartzman S, Husni ME. Recognizing and managing comorbidities in psoriatic arthritis. Curr Opin Rheumatol 2015;27:118–26. 10.1097/BOR.0000000000000152 [DOI] [PubMed] [Google Scholar]
- 2. Oliveira MF, Rocha BO, Duarte GV. Psoriasis: classical and emerging comorbidities. An Bras Dermatol 2015;90:9–20. 10.1590/abd1806-4841.20153038 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3. Davidovici BB, Sattar N, Prinz J, et al. . Psoriasis and systemic inflammatory diseases: potential mechanistic links between skin disease and co-morbid conditions. J Invest Dermatol 2010;130:1785–96. 10.1038/jid.2010.103 [DOI] [PubMed] [Google Scholar]
- 4. Gelfand JM, Yeung H. Metabolic syndrome in patients with psoriatic disease. J Rheumatol Suppl 2012;89:24–8. 10.3899/jrheum.120237 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5. Kennedy-Martin T, Curtis S, Faries D, et al. . A literature review on the representativeness of randomized controlled trial samples and implications for the external validity of trial results. Trials 2015;16:495 10.1186/s13063-015-1023-4 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6. Alemayehu D. Evaluation of reporting bias in postmarketing risk assessment based on spontaneous reporting systems. Pharmaceut Med 2009;23:195–200. 10.1007/BF03256770 [DOI] [Google Scholar]
- 7. Ghosh P, Dewanji A. Effect of reporting bias in the analysis of spontaneous reporting data. Pharm Stat 2015;14:20–5. 10.1002/pst.1657 [DOI] [PubMed] [Google Scholar]
- 8. Hazell L, Shakir SA. Under-reporting of adverse drug reactions: a systematic review. Drug Saf 2006;29:385–96. [DOI] [PubMed] [Google Scholar]
- 9. Trotter JP. Patient registries: a new gold standard for ‘real world’ research. Ochsner J 2002;4:211–4. [PMC free article] [PubMed] [Google Scholar]
- 10. Tuven Health Analytics. Putting research data into your hands with the marketscan databases Truven Health Analytics. 2016. http://truvenhealth.com/markets/life-sciences/products/data-tools/marketscan-databases (accessed 5 Apr 2017).
- 11. Asgari MM, Wu JJ, Gelfand JM, et al. . Validity of diagnostic codes and prevalence of psoriasis and psoriatic arthritis in a managed care population, 1996-2009. Pharmacoepidemiol Drug Saf 2013;22:842–9. 10.1002/pds.3447 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12. Metcalfe A, Neudam A, Forde S, et al. . Case definitions for acute myocardial infarction in administrative databases and their impact on in-hospital mortality rates. Health Serv Res 2013;48:290–318. 10.1111/j.1475-6773.2012.01440.x [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13. Tirschwell DL, Longstreth WT. Validating administrative data in stroke research. Stroke 2002;33:2465–70. 10.1161/01.STR.0000032240.28636.BD [DOI] [PubMed] [Google Scholar]
- 14. Fiest KM, Jette N, Quan H, et al. . Systematic review and assessment of validated case definitions for depression in administrative data. BMC Psychiatry 2014;14:289 10.1186/s12888-014-0289-5 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15. Nguyen-Khoa BA, Goehring EL, Alexander KA, et al. . Risk of significant infection in rheumatoid arthritis patients switching anti-tumor necrosis factor-α drugs. Semin Arthritis Rheum 2012;42:119–26. 10.1016/j.semarthrit.2012.04.001 [DOI] [PubMed] [Google Scholar]
- 16. Kimball AB, Robinson D, Wu Y, et al. . Cardiovascular disease and risk factors among psoriasis patients in two US healthcare databases, 2001-2002. Dermatology 2008;217:27–37. 10.1159/000121333 [DOI] [PubMed] [Google Scholar]
- 17. Winkelmayer WC, Schneeweiss S, Mogun H, et al. . Identification of individuals with CKD from Medicare claims data: a validation study. Am J Kidney Dis 2005;46:225–32. 10.1053/j.ajkd.2005.04.029 [DOI] [PubMed] [Google Scholar]
- 18. 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. 10.1016/j.jaad.2008.08.034 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19. Shah K, Mellars L, Changolkar A, et al. . Real-world burden of comorbidities in US patients with psoriasis. J Am Acad Dermatol 2017;77:287-92. [DOI] [PubMed] [Google Scholar]
- 20. Han C, Robinson DW, Hackett MV, et al. . Cardiovascular disease and risk factors in patients with rheumatoid arthritis, psoriatic arthritis, and ankylosing spondylitis. J Rheumatol 2006;33:2167–72. [PubMed] [Google Scholar]
- 21. Feldman SR, Zhao Y, Shi L, et al. . Economic and comorbidity burden among moderate-to-severe psoriasis patients with comorbid psoriatic arthritis. Arthritis Care Res 2015;67:708–17. 10.1002/acr.22492 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22. Husted JA, Thavaneswaran A, Chandran V, et al. . Cardiovascular and other comorbidities in patients with psoriatic arthritis: a comparison with patients with psoriasis. Arthritis Care Res 2011;63:1729–35. 10.1002/acr.20627 [DOI] [PubMed] [Google Scholar]
- 23. Centers for Disease Control and Prevention. National Diabetes Statistics Report. Atlanta, GA: Centers for Disease Control and Prevention. U.S. Department of Health and Human Services, 2017. [Google Scholar]
- 24. Sumary Health Statistics. Table A-1. Selected circulatory diseases among adults aged 18 and over, by selected characteristics: United States, 2015. Atlanta, GA: U.S. Department of Health and Human Services, Centers for Disease Control and Prevention, National Center for Health Statistics. https://ftp.cdc.gov/pub/Health_Statistics/NCHS/NHIS/SHS/2015_SHS_Table_A-1.pdf (accessed 1 Nov 2017).
- 25. Ogden CL, Carroll MD, Fryar CD, et al. . Prevalence of obesity among adults and youth: United States, 2011-2014. NCHS Data Brief 2015;219:1–8. [PubMed] [Google Scholar]
- 26. Carroll MD, Fryar CD, Kit BK. Total and high-density lipoprotein cholesterol in adults: United States, 2011-2014. NCHS Data Brief 2015;226:1–8. [PubMed] [Google Scholar]
- 27. Deng Y, Chang C, Lu Q. The inflammatory response in psoriasis: a comprehensive review. Clin Rev Allergy Immunol 2016;50:377–89. 10.1007/s12016-016-8535-x [DOI] [PubMed] [Google Scholar]
- 28. Armstrong AW, Harskamp CT, Armstrong EJ. Psoriasis and metabolic syndrome: a systematic review and meta-analysis of observational studies. J Am Acad Dermatol 2013;68:654–62. 10.1016/j.jaad.2012.08.015 [DOI] [PubMed] [Google Scholar]
- 29. Ninomiya JK, L’Italien G, Criqui MH, et al. . Association of the metabolic syndrome with history of myocardial infarction and stroke in the Third National Health and Nutrition Examination Survey. Circulation 2004;109:42–6. 10.1161/01.CIR.0000108926.04022.0C [DOI] [PubMed] [Google Scholar]
- 30. Eder L, Chandran V, Cook R, et al. . The risk of developing diabetes mellitus in patients with psoriatic arthritis: a cohort study. J Rheumatol 2017;44:286–91. 10.3899/jrheum.160861 [DOI] [PubMed] [Google Scholar]
- 31. Merola JF, Herrera V, Palmer JB, et al. . Comorbidity burden and medication use between psoriatic arthritis patients with moderate-to-severe psoriasis vs. those with minimal skin psoriasis in the US [poster FRI0580]. Presented at: The 2016 Annual European Congress of Rheumatology (EULAR) London, UK; 8-11 June 2016. [Google Scholar]
- 32. Bhole VM, Choi HK, Burns LC, et al. . Differences in body mass index among individuals with PsA, psoriasis, RA and the general population. Rheumatology 2012;51:552–6. 10.1093/rheumatology/ker349 [DOI] [PubMed] [Google Scholar]
- 33. Reynolds K, Go AS, Leong TK, et al. . Trends in incidence of hospitalized acute myocardial infarction in the Cardiovascular Research Network (CVRN). Am J Med 2017;130:317–27. 10.1016/j.amjmed.2016.09.014 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34. Gladman DD, Ang M, Su L, et al. . Cardiovascular morbidity in psoriatic arthritis. Ann Rheum Dis 2009;68:1131–5. 10.1136/ard.2008.094839 [DOI] [PubMed] [Google Scholar]
- 35. Eder L, Wu Y, Chandran V, et al. . Incidence and predictors for cardiovascular events in patients with psoriatic arthritis. Ann Rheum Dis 2016;75:1680–6. 10.1136/annrheumdis-2015-207980 [DOI] [PubMed] [Google Scholar]
- 36. Armstrong AW, Brezinski EA, Follansbee MR, et al. . Effects of biologic agents and other disease-modifying antirheumatic drugs on cardiovascular outcomes in psoriasis and psoriatic arthritis: a systematic review. Curr Pharm Des 2014;20:500–12. 10.2174/138161282004140213123505 [DOI] [PubMed] [Google Scholar]
- 37. Pratt LA, Brody DJ. Depression in the U.S. household population, 2009-2012. NCHS Data Brief 2014;172:1–8. [PubMed] [Google Scholar]
- 38. McDonough E, Ayearst R, Eder L, et al. . Depression and anxiety in psoriatic disease: prevalence and associated factors. J Rheumatol 2014;41:887–96. 10.3899/jrheum.130797 [DOI] [PubMed] [Google Scholar]
- 39. Rohekar S, Tom BD, Hassa A, et al. . Prevalence of malignancy in psoriatic arthritis. Arthritis Rheum 2008;58:82–7. 10.1002/art.23185 [DOI] [PubMed] [Google Scholar]
- 40. Gross RL, Schwartzman-Morris JS, Krathen M, et al. . A comparison of the malignancy incidence among patients with psoriatic arthritis and patients with rheumatoid arthritis in a large US cohort. Arthritis Rheumatol 2014;66:1472–81. 10.1002/art.38385 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 41. Cancer of Any Site. Statistics at a glance: National Institute of Health, surveillance, epidemiology, and end results program. 2017. https://seer.cancer.gov/statfacts/html/all.html (accessed 1 Nov 2017).
- 42. Brikman S, Furer V, Wollman J, et al. . The effect of the presence of Fibromyalgia on common clinical disease activity indices in patients with psoriatic arthritis: a cross-sectional study. J Rheumatol 2016;43:1749–54. 10.3899/jrheum.151491 [DOI] [PubMed] [Google Scholar]
- 43. Lim JL, Stern RS. High levels of ultraviolet B exposure increase the risk of non-melanoma skin cancer in psoralen and ultraviolet A-treated patients. J Invest Dermatol 2005;124:505–13. 10.1111/j.0022-202X.2005.23618.x [DOI] [PubMed] [Google Scholar]
- 44. Klabunde CN, Warren JL, Legler JM. Assessing comorbidity using claims data: an overview. Med Care 2002;40:26–35. 10.1097/01.MLR.0000020936.03651.2D [DOI] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
rmdopen-2017-000588supp001.docx (21.4KB, docx)
rmdopen-2017-000588supp002.docx (14.4KB, docx)