Voluntary early retirement and mortality in patients with and without chronic diseases: a nationwide Danish Registry study.

OBJECTIVE: This study explores how the choice of voluntary early retirement (VER) affects mortality in a population where VER is available 5 years before regular retirement age. STUDY DESIGN: This retrospective cohort study uses a registry-based follow-up design with access to Nationwide Danish Registry Data. METHODS: The study includes all Danish individuals who between 2000 and 2015 were part of an unemployment insurance fund and working at the time of their 60th (P60) or 62nd (P62) birthday. Those alive 1 year from their 60th or 62nd birthday were included in the mortality analysis. Individuals were registered as VER recipients if they chose the benefit within 1 year from P60 or P62. Three-year mortality likelihood following the first year from inclusion was explored for both cohorts separately. Multiple subgroups were explored in the mortality analysis, including individuals with chronic obstructive pulmonary disease (COPD), heart failure, and diabetes. RESULTS: P60 included 627,278 individuals, and VER was chosen by 22.5%. P62 included 379,196 individuals, and VER was chosen by 33.4%. The likelihood of VER in the P60 was lower in healthy individuals (odds ratio [OR] 0.87, confidence interval [CI] 0.85-0.88) and higher in COPD (OR 1.15, CI 1.07-1.22) and heart failure patients (OR 1.15, CI 1.05-1.25). Three-year mortality was significantly higher in those choosing VER in P60 (OR 1.28, CI 1.22-1.34), which was also found for all health subgroups (healthy, OR 1.18, CI 1.07-1.30; COPD, OR 1.55, CI 1.16-2.07; heart failure, OR 1.42, CI 1.02-1.98; diabetes, OR 1.36, CI 1.12-1.65). The increased mortality risk was not found in the P62 cohort. CONCLUSION: The choice of VER is more likely in patients with COPD and heart failure. VER in the P60 cohort is associated with an increased mortality likelihood, which was not found in the P62 cohort, which may be explained by health selection bias.

Return to work after COVID-19 infection - A Danish nationwide registry study.

OBJECTIVES: This study aimed to explore return to work after COVID-19 and how disease severity affects this. STUDY DESIGN: This is a Nationwide Danish registry-based cohort study using a retrospective follow-up design. METHODS: Patients with a first-time positive SARS-CoV-2 polymerase chain reaction test between 1 January 2020 and 30 May 2020, including 18-64 years old, 30-day survivors, and available to the workforce at the time of the first positive test were included. Admission types (i.e. no admission, admission to non-intensive care unit [ICU] department and admission to ICU) and return to work was investigated using Cox regression standardised to the age, sex, comorbidity and education-level distribution of all included subjects with estimates at 3 months from positive test displayed. RESULTS: Among the 7466 patients included in the study, 81.9% (6119/7466) and 98.4% (7344/7466) returned to work within 4 weeks and 6 months, respectively, with 1.5% (109/7466) not returning. Of the patients admitted, 72.1% (627/870) and 92.6% (805/870) returned 1 month and 6 months after admission to the hospital, with 6.6% (58/870) not returning within 6 months. Of patients admitted to the ICU, 36% (9/25) did not return within 6 months. Patients with an admission had a lower chance of return to work 3 months from positive test (relative risk [RR] 0.95, 95% confidence interval [CI] 0.94-0.96), with the lowest chance in patients admitted to an ICU department (RR 0.54, 95% CI 0.35-0.72). Female sex, older age, and comorbidity were associated with a lower chance of returning to work. CONCLUSION: Hospitalised patients with COVID-19 infection have a lower chance of returning to work with potential implications for postinfection follow-up and rehabilitation.