THE VALUE OF SOME SCORES IN PREDICTING OF RECOVERY ISCHEMIC STROKE PATIENTS
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Abstract
Objectives: To evaluate the correlation between the recovery level of patients with ischemic stroke (IS) and several stroke scales. Methods: A cross-sectional descriptive study with longitudinal follow-up was conducted on 307 IS patients treated at Military Hospital 17 from January 2022 to December 2023. Patients were clinically assessed at the time of admission using the Glasgow Coma Scale (GCS), National Institute of Health Stroke Scale (NIHSS), Barthel Index, Orgogozo Scale, and Alberta Stroke Program Early CT Score (ASPECTS) based on CT and/or MRI brain imaging. The recovery level was assessed using the modified Rankin Scale (mRS) at discharge and one month after discharge. Results: The average age of the study patients was 62.88 ± 11.85 years, with 64.8% being under 70 years old. Males accounted for 58.6% with a male-to-female ratio of 1.42:1. Regression analysis showed that only the clinical severity measured by the NIHSS at admission had an independent correlation with the recovery level (measured by mRS) at discharge and one month after discharge, with statistical significance (p < 0.05) and model accuracy of 95% and 81.3%. The linear regression equations of mRS (at discharge and one month after discharge) according to the NIHSS at admission also had accuracies of 94.8% and 78.8% (p < 0.05). Conclusion: The NIHSS had predictive value for the recovery level of IS patients at discharge and one month after discharge.
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Keywords
Stroke, cerebral infarction, stroke score, recovery prediction
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