LAUSR

Abstract Background and Objectives The prevalence of stroke in urban Sri Lanka is estimated at 10.4 per 1000 and is expected to rise. Post-stroke depression (PSD) is an independent predictor of poor long-term outcomes. It leads to suboptimal rehabilitation, decreased quality of life, and increased mortality and is under-recognized. The main objectives of this study were to estimate the prevalence of depression in stroke, assess factors associated with PSD, and assess the relationship of PSD to disability. Materials and Methods A descriptive cross-sectional study was conducted at the Neurology and Medical Ward, National Hospital of Sri Lanka. Non-probability, consecutive sampling was used to collect data from patients with ischemic stroke admitted from January 2019 to January 2020. Patients with significant pre-existing depression, cognitive impairment, and language deficits were excluded. A structured, pre-tested interviewer-administered questionnaire was used to assess the prevalence and associated factors of PSD. Beck's Depression Inventory (BDI) was administered 3 months following the stroke to screen for depression. Modified Rankin Score (MRS) was used to assess disability on admission, discharge, and at 3 months. Results Eighty-one stroke patients were screened. The mean age was 66.6 years (±standard deviation [SD]: 12.5). Male:female ratio was 1.2:1. Depression at 3 months of follow-up was observed in 35.8% (95% confidence interval [CI]: 25.4–47.2%) of participants. Following bivariate analysis, large vessel stroke (p < 0.001), cortical stroke (p < 0.001), frontal lobe lesions (p < 0.001), history of past stroke (p = 0.014), and sexual dysfunction (p = 0.026) were associated with increased risk of PSD. The odds of a person with severe disability developing PSD was 7.9 times more than a person with a less severe disability at discharge from hospital and at 3 months of follow-up (odds ratio [OR] =7.9; 95% CI: 2.7–23.3, p = 0.000). Conclusions PSD occurs in one-third of strokes, keeping with previous studies. The risk of having PSD is higher among patients with severe disabilities. The difference in risk factors identified compared with previous studies can be attributable to differences in methodology. Identifying risk factors for post-stroke depression is essential to mitigate the poor outcome.