AI Article Synopsis

  • The study aimed to explore how common post-stroke depression is in a rehabilitation ward and its impact on recovery outcomes.
  • In a cohort of 114 stroke patients, 9.6% were found to have depression, which was linked to lower functional improvement and longer hospital stays compared to non-depressed patients.
  • The results suggest that those with post-stroke depression experienced slower recovery and were less likely to be discharged home, highlighting the need for further research in larger populations.

Article Abstract

Objective: To investigate the prevalence of post-stroke depression in a rehabilitation ward and elucidate its effect on functional improvement and outcomes.

Design: Retrospective cohort study.

Setting: A convalescent rehabilitation ward at a University Hospital.

Participants: A total of 114 patients with stroke (mean [SD] age, 67.2 [13.5] years; men, 76) assessed at 2 weeks after admission using the Mini-International Neuropsychiatric Interview were enrolled.

Main Outcome Measure: Functional independence measure (FIM) efficiency during hospitalization in the ward.

Results: Eleven patients (9.6%) had depression based on the Mini-International Neuropsychiatric Interview. Total FIM efficiency and FIM efficiency in the subtotal of motor items were significantly higher in the non-depression group than in the depression group (median [interquartile range]: 0.69 [0.39-0.95] vs 0.41 [0.24-0.63], =.027; and 0.56 [0.38-0.80] vs 0.42 [0.18-0.49], =.023, respectively). Patients in the non-depression group had higher FIM scores at discharge (median [interquartile range]: 116.0 [104.5-123.0] vs 104.0 [82.5-112.0], =.013, respectively), and were more likely to be discharged home (80.6% vs 36.4%, =.003). Furthermore, patients in the depression group also stayed significantly longer in the ward (71.0 [36.1] vs 106.1 [43.3], =.010).

Conclusions: Patients with post-stroke depression showed poorer efficiency of functional recovery than those without depression. A future multicenter study with a larger sample size is needed to verify these findings.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10757178PMC
http://dx.doi.org/10.1016/j.arrct.2023.100287DOI Listing

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