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

August 2022 | Volume 21 | Issue 8 | 881 | Copyright © August 2022


Published online August 1, 2022

doi:10.36849/JDD.6789R1

Ingrid Lindberg MSca, Ida Tedeblad MSca, Kirk Geale MSca,b, Agata Schubert MScc

aQuantify Research, Stockholm, Sweden
bDermatology and Venerology, Department of Public Health and Clinical Medicine, Umeå University, Umeå, Sweden
cJanssen-Cilag Poland, Warsaw, Poland

Abstract
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

INTRODUCTION

Psoriasis (PsO) is a common, chronic, autoimmunemediated inflammatory disorder associated with significant patient burden, impacting both costs (health care costs, and productivity losses)1 and quality of life.2 Common types of psoriasis include psoriasis vulgaris (also referred to as plaque psoriasis), intertriginous psoriasis, guttate psoriasis, pustular psoriasis, and erythrodermic psoriasis. Psoriasis vulgaris is the most common of these, affecting 58%- 97% of all patients.3

As there is no cure for PsO, the goal of available treatments is to reduce signs and symptoms.4 There is a variety of effective therapies available to patients, including novel biologic therapies (biologics) which have significantly improved patient outcomes. The available treatment options vary in their mode of action, administration frequency and delivery, effectiveness, and safety profile, all of which consequently impact treatment persistence. When conventional systemic treatments are insufficient or otherwise inappropriate for the treatment of PsO, biologics may be used.

Drug persistence (drug survival) is defined as the duration of time from initiation to discontinuation of a drug,5 occurring when patients switch or terminate treatment. It is a meaningful measure that accounts for long-term effectiveness, safety, and general treatment satisfaction in clinical practice.6

Administrative databases (“databases”) and clinical registries (“registries”) are common data sources for evaluating drug persistence. The data contained in databases are typically collected for reasons other than health research and are often termed secondary data. In contrast, registry data are typically collected primarily to conduct health research.

Information on drug persistence collected from registries can be used to identify when a patient had been prescribed a specific medication by the treating physician, although adherence to the medication may not be discernible. Registries typically include information on treatment initiation and treatment end dates, entered by the physician. Therefore, persistence estimates from registries are driven by the physician’s perspective excluding information on patients’ behavior. In contrast, databases are