Affiliation:
1. Department of Neurology, Medical School of Southeast University, Jinling Hospital, China
2. Stroke Center and Department of Neurology, the First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, China
3. Department of Neurology, Medical School of Nanjing University, Jinling Hospital, China
Abstract
Objectives This study aims at exploring the 3-month outcome predicting ability of delayed neurological improvement and the cause of delayed neurological improvement. Materials and methods Early neurological improvement and delayed neurological improvement were calculated to represent the neurological improvements. Good functional outcome was defined as a 90-day modified Rankin Scale score 0–2. We used multivariant logistic regression to explore the influential factors of good functional outcome as well as delayed neurological improvement. We applied net reclassification improvement and integrated discrimination improvement to assess the quantitative improvement of the predictive model. Results Early neurological improvement was observed in 50 (23%) patients and delayed neurological improvement exhibited in 67 (30%) patients. Early neurological improvement and delayed neurological improvement were both independent predictive factors to good functional outcome. In the basic model (adjusted for age, admission glucose level, baseline National Institute of Health Stroke Scale, and complications and number of retrieval attempts), early neurological improvement and delayed neurological improvement statistically improved the predictive ability (early neurological improvement: net reclassification improvement = 0.34, 95% confidence interval, 95% confidential interval (0.06, 0.69); integrated discrimination improvement = 0.05, p < 0.001; delayed neurological improvement: net reclassification improvement = 0.79, 95% confidential interval (0.47, 1.12); integrated discrimination improvement = 0.14, p < 0.001) delayed neurological improvement could predict clinical outcomes more accurately than early neurological improvement (early neurological improvement vs. delayed neurological improvement: integrated discrimination improvement = 0.09, p < 0.001). Moreover, delayed neurological improvement was affected by hypertension (odds ratio = 0.40, 95% CI (0.18, 0.88), p = 0.02), early neurological improvement (odds ratio = 20.10, 95% confidential interval (8.24, 19.02), p < 0.001), number of retrieval attempts (odds ratio = 0.39, 95% confidential interval (0.24, 0.66), p < 0.001), and complication (odds ratio = 0.25, 95% confidential interval (0.12, 0.54), p < 0.001). Conclusions Delayed neurological improvement could predict clinical outcomes more accurately than early neurological improvement. Hypertension, early neurological improvement, numbers of retrieval attempts, and complications were all predicting factors to delayed neurological improvement.
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