Archives of Rehabilitation Research and Clinical Translation (Dec 2023)

Effect of Post-stroke Depression on Functional Outcomes of Patients With Stroke in the Rehabilitation Ward: A Retrospective Cohort Study

  • Yoshitaka Wada, MD, PhD,
  • Yohei Otaka, MD, PhD,
  • Taiki Yoshida, OTR, PhD,
  • Kanako Takekoshi, RN,
  • Raku Takenaka, MD,
  • Yuki Senju, MD, PhD,
  • Hirofumi Maeda, MD, PhD,
  • Seiko Shibata, MD, PhD,
  • Taro Kishi, MD, PhD,
  • Satoshi Hirano, MD, PhD

Journal volume & issue
Vol. 5, no. 4
p. 100287

Abstract

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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], P=.027; and 0.56 [0.38-0.80] vs 0.42 [0.18-0.49], P=.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], P=.013, respectively), and were more likely to be discharged home (80.6% vs 36.4%, P=.003). Furthermore, patients in the depression group also stayed significantly longer in the ward (71.0 [36.1] vs 106.1 [43.3], P=.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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