Analysis of factors influencing poor neurological outcomes in patients with acute ischemic stroke

Abstract

Objective: There is a gap in understanding how post-stroke fatigue influences neurological function, motor skills, and the overall quality of life in different regions. This study aimed to investigate the association between post-stroke fatigue and poor prognosis of neurological function in patients with acute ischemic stroke (AIS). Methods: This study conducted a retrospective investigation. A total of 242 acute ischemic stroke patients were admitted to the Department of Neurology of our hospital from January 2018 to December 2019. Clinical information upon patient admission was collected, including general patient information, Fatigue Severity Scale (FSS) score, National Institutes of Health Stroke Scale (NIHSS) score, modified Rankin Scale (mRS) score at discharge, and follow-up assessments of one-year post-discharge. The impact of post-stroke fatigue on functional recovery at discharge and one year after discharge was analyzed. Clinical data were analyzed using statistical methods, including the Mann-Whitney U test, nonparametric rank-sum tests, chi-square, Fisher’s exact tests, and binary logistic regression. Results: Binary logistic regression showed that per capita monthly income at discharge (≥5001, OR = 0.064, 95%CI: 0.005–0.842), NIHSS score (OR = 26.676, 95%CI: 8.218–86.590), and FSS score (OR = 1.085, 95%CI: 1.023–1.185) had an impact on functional recovery (p < 0.05). One year after discharge, the NIHSS score (OR = 5.043, 95%CI: 3.252–7.820) and FSS score (OR = 1.106, 95%CI: 1.029–1.188) were also found to have an impact on functional recovery (p < 0.05). Conclusion: The prevalence of fatigue in patients with acute ischemic stroke is high, and post-stroke fatigue affects the functional recovery of patients both at discharge and 1 year after discharge.