Depression after minor stroke: prevalence and predictors

Eur J Neurol. 2012 Mar;19(3):517-21. doi: 10.1111/j.1468-1331.2011.03583.x. Epub 2011 Dec 19.

Abstract

Background and purpose: Post-stroke depression (PSD) is one of the most frequent complications of stroke, with a prevalence ranging 20-60%. As PSD seems to be related to stroke severity, we hypothesized that the prevalence of PSD would be lower in patients with minor stroke.

Methods: We investigated the prevalence and predictors of PSD over a 30-month follow-up period in a cohort of patients with minor ischaemic stroke (NIHSS≤5).

Results: We enrolled 105 patients (mean age 64.38±11.2years, M/F 69/36). PSD was diagnosed in 43 (41%) patients, 40 (93%) of whom had dysthymia; 22% of patients were already depressed at 1month. The most frequent depressive symptoms (DSs) were working inhibition, indecisiveness, and fatigability. Patients who developed PSD were less educated (P=0.044) and diabetic (P=0.006). After excluding patients that were already depressed at 1month, we performed a logistic regression model to detect predictors of PSD. Crying (P=0.012, OR 1.067, CI 0.269-4.553) and guilt (P=0.007, OR 0.037, CI 0.02ì03-0.401) at baseline were two DSs found to be significantly correlated with PSD. Higher educational level (P=0.022, OR 0.084, CI 0.010-0.698) and diabetes (P=0.007, OR 14.361, CI 2.040-101.108) were the risk factors significantly correlated with PSD.

Conclusion: Post-stroke depression is frequent even in patients with minor stroke. Early detection of DSs might help to predict long-term development of PSD. No correlation was observed between lesion site or side and the development of PSD.

MeSH terms

  • Aged
  • Depression / epidemiology*
  • Depression / etiology*
  • Female
  • Humans
  • Male
  • Middle Aged
  • Prevalence
  • Risk Factors
  • Stroke / complications*
  • Stroke / pathology
  • Stroke / psychology*