Incidence, prevalence, and mortality of sarcoidosis in England: a population-based study.
retrospective_cohort · Level III
Where this comes from
- Record sourced from PubMed, PMID 40247851.
- Also identified by DOI 10.1016/j.lanepe.2025.101283 and PMC identifier 12002749.
- Licence recorded as CC BY.
- The licence permits redistribution, so the abstract is shown in full and the full text is available from the publisher.
Abstract
The epidemiology of sarcoidosis in England is largely uncharted, with no population-level prevalence data and outdated incidence and mortality estimates. Our objective was to investigate contemporary trends in incidence, prevalence, and mortality. This cohort study used primary care data from the UK Clinical Practice Research Datalink (CPRD), linked to secondary-care and national death registration. Patients aged ≥18 with sarcoidosis were identified using primary care codes. Age-and-sex standardised incidence and prevalence were calculated. Standardised mortality ratios (SMRs) compared mortality with the general population. A matched non-sarcoidosis cohort was constructed within CPRD, and Poisson regression compared all-cause mortality between incident cases and controls. Between 2003 and 2023, 18,554 incident sarcoidosis patients were identified. The age- and sex-standardised incidence per 100,000 person-years increased from 6.65 in 2003 to 7.73 in 2023, with the most pronounced rise occurring between 2010 and 2016. Incidence rose notably among males and those over 60-year-olds. Sarcoidosis prevalence increased from 167 to 230 per 100,000 individuals. The age-and-sex standardised all-cause mortality rate was 12.2 per 1000 patients in 2023. Elevated mortality was observed in males [SMR: 1.8 (1.7-1.8)] and females [SMR: 2.1(2.0-2.2)], particularly in those aged 30-70 years old. Regression models indicated higher all-cause mortality in the incident sarcoidosis cohort compared to controls [adjusted mortality rate ratio 1.36 (95% CI 1.27-1.44)]. Sarcoidosis incidence has increased during the study period, with shifts in age-and-sex distribution and excess mortality risk. Recognising this burden is key to refining healthcare policies, optimising resources and improving patient outcomes. None.