Diabetes mellitus is associated with late-onset post-stroke depression

J Affect Disord. 2017 Oct 15:221:222-226. doi: 10.1016/j.jad.2017.06.045. Epub 2017 Jun 21.

Abstract

Objective: To explore the associated factors of late-onset post-stroke depression (PSD).

Methods: A total of 251 patients with acute ischemic stroke were recruited. The evaluation of depression was performed 2 weeks after ischemia. 206 patients showing no depression in 2 weeks were followed up. They were divided into late-onset PSD group and non-depressed group by clinical interview with Hamilton depression scale score 3 months after stroke. On the first day following hospitalization, the clinical data including age, gender, educational level and vascular risk factors were recorded. The severity, etiological subtype and location of stroke were evaluated. The inflammatory mediators, glucose and lipid levels were recorded on the day of admission. The association between clinical factors and late-onset PSD was explored by logistic regression analysis. The ROC analysis was performed to evaluate the predicting power of the clinical factors.

Results: 187 of 206 patients completed the assessment 3 months after stroke. 19 (10.16%) patients were diagnosed as late onset PSD. Diabetes mellitus was an independent risk factor for late-onset PSD (OR 2.675, p = 0.047). ROC analysis demonstrated that glucose and HbA1C could predict late-onset PSD with specificity of 84.4%.

Limitations: The sample of our study was small. The results should be further confirmed in a larger cohort of patients with acute ischemic stroke.

Conclusions: The acute ischemic stroke patients with diabetes mellitus were more tendered to suffer late-onset PSD.

Keywords: Depression; Diabetes; Late onset; Stroke.

MeSH terms

  • Adult
  • Age of Onset
  • Aged
  • Aged, 80 and over
  • Depression / diagnosis*
  • Depression / epidemiology*
  • Diabetes Mellitus / epidemiology*
  • Female
  • Follow-Up Studies
  • Humans
  • Male
  • Middle Aged
  • Psychiatric Status Rating Scales
  • Risk Factors
  • Stroke / psychology*