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Prevalence and incidence of palmoplantar pustulosis in Sweden: a population-based register study. | LitMetric

Prevalence and incidence of palmoplantar pustulosis in Sweden: a population-based register study.

Br J Dermatol

Department of Public Health and Clinical Medicine, Dermatology, Umeå University, Umeå, Sweden.

Published: November 2021

Background: Palmoplantar pustulosis (PPP) is a chronic relapsing skin condition characterized by sterile pustules on the palm and soles. Population-based estimates of PPP incidence and prevalence are limited.

Objectives: To estimate the prevalence and incidence of PPP in the Swedish general population and to estimate the prevalence of psoriasis vulgaris among the population with PPP.

Methods: The Swedish National Patient Register was used, covering all inpatient and outpatient nonprimary care for the Swedish population. We identified cases (2004-2015) with one International Classification of Diseases 10 Revision diagnostic code (base case) for PPP. The point prevalence estimates at the end of this period (31 December 2015) were obtained by linkage to the Swedish Total Population Register. In sensitivity analyses, we used alternative case definitions: (i) requiring two visits and (ii) requiring two visits, one of which was within dermatology or internal medicine.

Results: The base case prevalence of PPP was estimated to be 147 per 100 000 (women 227, men 68) and the annual prevalence was estimated to 26 per 100 000 in 2015. Among the population of people with PPP, 17% were registered with a diagnostic code for psoriasis vulgaris. The incidence of PPP in 2015 was estimated to be 12·7 per 100 000 (women 18·7, men 6·6). The criteria used had an impact on the prevalence and incidence estimates: strict case 1 gave an overall prevalence of 72 per 100 000 and an incidence of 5·4 per 100 000.

Conclusions: The results indicate that the population-based prevalence of PPP may be larger than previously estimated. However, the estimates were sensitive to the employed PPP case criteria. The findings enhance demands for studies using validated diagnostic algorithms potentially also including data from primary care.

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Source
http://dx.doi.org/10.1111/bjd.20087DOI Listing

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