Comorbidities in childhood atopic dermatitis: A population-based study.

BACKGROUND: Atopic dermatitis (AD) is a chronic inflammatory skin disease that is associated with allergic comorbidities. However, studies examining comorbidities in childhood AD are incomplete, which may contribute to suboptimal care. OBJECTIVE: The objective was to compare the risk of developing different allergic and non-allergic comorbidities among children with AD to that of a matched non-AD reference cohort in Sweden. METHODS: This was a nationwide population-based cohort study using longitudinal data from primary and specialist care registers. Patients with AD were identified by confirmed diagnosis in primary or specialist care. The non-AD reference cohort was randomly drawn from the general population and matched 1:1 with the AD patients. The risk of developing the following conditions was evaluated: hypersensitivity and allergic disorders, neurological disorders, psychiatric disorders, infections, immunological and inflammatory disorders, Type 1 diabetes (T1D), endocrine and metabolic disorders, skeletal disorders, ocular disorders and malignancies. RESULTS: This study included 165,145 patients with AD (mild-to-moderate [n = 126,681] and severe [n = 38,464]) and an equally sized reference cohort. Patients with AD displayed a higher risk of developing comorbid conditions for all investigated categories, except for T1D and skeletal disorders, compared with the reference cohort. The highest risk compared with the reference cohort was observed for hypersensitivity and allergic disorders (hazard ratio [HR]: 3.87), followed by malignancies (HR: 2.53) and immunological and inflammatory disorders (HR: 2.36). Patients with AD also had higher risk of developing multiple comorbidities (≥2). The risk of comorbidity onset increased alongside AD severity and patients with active AD were associated with increased risk of comorbidity onset compared with patients in remission. CONCLUSIONS: The clinical burden of AD is substantial for children with AD and patients are at an increased risk of developing several comorbid conditions extending beyond the atopic march. Our results also showed a positive association between worsening severity of AD and an increased risk of comorbidity onset.

Persistence With Biologic Treatments in Psoriasis: A Structured Literature Review of Studies Using Administrative Database and Clinical Registry Data.

BACKGROUND: Psoriasis is a chronic, autoimmune-mediated inflammatory disorder. Drug persistence is a composite measure of effectiveness, safety, and treatment satisfaction, often estimated using data from administrative databases and clinical registries. Persistence rates calculated from these two data sources appear to be systematically different. OBJECTIVE: Review and compare persistence rates of psoriasis-indicated biologics reported in registry and database studies. METHODS: A structured literature search of studies published during 2009-2019 was performed in PubMed and American Academy of Dermatology records to identify research describing persistence with biologic treatments in psoriasis patients. English language retrospective or prospective persistence studies based on database or registry data, and reporting on at least two psoriasis-indicated biologics, of which at least one was ustekinumab, secukinumab, ixekizumab or guselkumab, were included. Single-arm studies, randomized control trials, systematic literature reviews, and studies presenting stratified results only were excluded. RESULTS: A total of 37 studies (22 registry- and 15 database-derived) comprising 76,000 patients were included. On average, drug persistence collected from registry studies was 18% higher than database studies. CONCLUSION: The findings of this study may be used by practitioners to make meaningful comparisons between persistence data derived from registries and databases, and thereby improve clinical decision making. J Drugs Dermatol. 2022;21(8):881-889. doi:10.36849/JDD.6789R1.

Validation of Patient Identification Algorithms for Atopic Dermatitis Using Healthcare Databases.

INTRODUCTION: The use of real-world data offers a possibility to perform large-scale epidemiological studies in actual clinical settings. Despite their many advantages, administrative databases were not designed to be used in research, and the validation of diagnoses and treatments in administrative databases is needed. The primary objective of this study was to validate an existing algorithm based on dispensed prescriptions and diagnoses of skin conditions to identify pediatric patients with atopic dermatitis (AD), using a diagnosis of AD in primary care as a gold standard. METHODS: Retrospective observational data were collected from nation-wide secondary care and pharmacy-dispensed medication databases and two regional primary care databases in Sweden. An existing algorithm and a Modified algorithm, using skin-specific diagnoses from secondary care and/or pharmacy-dispensed prescriptions to identify patients with AD, were assessed. To verify the presence of AD, diagnoses from primary care were used in the base case and complemented with diagnoses from secondary care in a sensitivity analysis. RESULTS: The sensitivity (30.0%) and positive predictive value (PPV) (40.7%) of the existing algorithm were low in the pediatric patient population when using primary care data only but increased when secondary care visits were also included in the Modified algorithm (sensitivity, 62.1%; PPV, 66.3%). The specificity of the two algorithms was high in both the base case and sensitivity analysis (95.1% and 94.1%). In the adult population, sensitivity and PPV were 20.4% and 8.7%, respectively, and increased to 48.3% and 16.9% when secondary care visits were also included in the Modified algorithm. CONCLUSION: The Modified algorithm can be used to identify pediatric AD populations using primary and secondary administrative data with acceptable sensitivity and specificity, but further modifications are needed to accurately identify adult patients with AD.

Corrigendum to: Persistence of biologic treatments in psoriatic arthritis: a population-based study in Sweden.

[This corrects the article DOI: 10.1093/rap/rkaa070.][This corrects the article DOI: 10.1093/rap/rkaa070.].

Incidence of Psoriatic Arthritis in Patients with Skin Psoriasis and Associated Risk Factors: A Retrospective Population-based Cohort Study in Swedish Routine Clinical Care.

The incidence of psoriatic arthritis in patients with psoriasis is unclear; existing estimates differ by a factor of ten. Complete population-level data is needed to provide accurate estimates with high confidence. A total of 123,814 adults with psoriasis, free from pre-existing psoriatic arthritis, were identified in population-based data from secondary care in Sweden during 2007 to 2017. Incidence was calculated as the number of psoriatic arthritis diagnosis events per 100 patient-years. Time to diagnosis was assessed using cumulative incidence and Cox proportional hazards models to identify risk factors. Incidence of psoriatic arthritis in patients with psoriasis was 1.69 per 100 patient-years (95% confidence interval 1.65-1.72) overall, and 1.48, 3.00, and 5.49 per 100 patient-years in patients with mild, moderate and severe psoriasis, respectively. Risk of psoriatic arthritis was 3.2 times higher amongst patients with severe psoriasis compared with mild disease. Dermatologists should regularly assess risk factors for psoriatic arthritis in clinical practice in order to improve the detection of psoriatic arthritis.

Persistence of biologic treatments in psoriatic arthritis: a population-based study in Sweden.

OBJECTIVES: TNF inhibitors (TNFis) and IL inhibitors are effective treatments for PsA. Treatment non-persistence (drug survival, discontinuation) is a measure of effectiveness, tolerability and patient satisfaction or preferences in real-world clinical practice. Persistence on these treatments is not well understood in European PsA populations. The aim of this study was to compare time to non-persistence for either ustekinumab (IL-12/23 inhibitor) or secukinumab (IL-17 inhibitor) to a reference group of adalimumab (TNFi) treatment exposures in PsA patients and identify risk factors for non-persistence. METHODS: A total of 4649 exposures of adalimumab, ustekinumab, and secukinumab in 3918 PsA patients were identified in Swedish longitudinal population-based registry data. Kaplan-Meier curves were constructed to measure treatment-specific real-world risk of non-persistence and adjusted Cox proportional hazards models were estimated to identify risk factors associated with non-persistence. RESULTS: Ustekinumab was associated with a lower risk of non-persistence relative to adalimumab in biologic-naïve [hazard ratio (HR) 0.48 (95% CI 0.33, 0.69)] and biologic-experienced patients [HR 0.65 (95% CI 0.56, 0.76)], while secukinumab was associated with a lower risk in biologic-naïve patients [HR 0.65 (95% CI 0.49, 0.86)] but a higher risk of non-persistence in biologic-experienced patients [HR 1.20 (95% CI 1.03, 1.40)]. Biologic non-persistence was also associated with female sex, axial involvement, recent disease onset, biologic treatment experience and no psoriasis. CONCLUSION: Ustekinumab exhibits a favourable treatment persistency profile relative to adalimumab overall and across lines of treatment. The performance of secukinumab is dependent on biologic experience. Persistence and risk factors for non-persistence should be accounted for when determining an optimal treatment plan for patients.