PREDICTORS OF EARLY-ONSET DEPRESSION AFTER FIRST-EVER STROKE

Acta Clin Croat. 2020 Mar;59(1):81-90. doi: 10.20471/acc.2020.59.01.10.

Abstract

Post-stroke depression (PSD) is a severe and frequent stroke complication and one of the crucial factors for the outcome of rehabilitation and life quality after stroke. However, mood disorders frequently remain unnoticed and therefore untreated. The aim of the study was to examine all the potential risk factors and determine the independent predictors of early-onset depression after first-ever stroke, which would help identify high-risk patients, establish early diagnosis and timely treatment that would improve the course and prognosis of this disorder. This prospective study included 60 patients treated for their first-ever stroke; there were 30 patients diagnosed with depression and 30 patients without depression. The study included collection and analysis of all socio-demographic and clinical risk factors for PSD. Testing was performed two weeks after stroke. Depression was diagnosed according to the Mini International Neuropsychiatry Interview, DSM-IV diagnostic criteria, and depression severity was quantified by the Hamilton Depression Rating Scale. Cognitive impairment was assessed by the Mini Mental State Examination. Neurological deficit was assessed by the US National Institute of Health Stroke Scale. Our results showed that the independent predictors of early-onset depression after stroke were previous depressive episodes, cognitive dysfunction, and more severe neurological deficit.

Keywords: Depression; Early diagnosis; Mood disorders; Quality of life; Risk factors; Stroke.

MeSH terms

  • Depression* / diagnosis
  • Depression* / epidemiology
  • Depression* / etiology
  • Female
  • Humans
  • Male
  • Middle Aged
  • Prospective Studies
  • Psychiatric Status Rating Scales
  • Risk Factors
  • Stroke* / complications
  • Stroke* / diagnosis
  • Stroke* / epidemiology