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Data from: NIHSS cut-point for predicting outcome in supra- vs infra-tentorial acute ischemic stroke

Cite this dataset

Yoshimura, Sohei et al. (2019). Data from: NIHSS cut-point for predicting outcome in supra- vs infra-tentorial acute ischemic stroke [Dataset]. Dryad. https://doi.org/10.5061/dryad.1kn74rt

Abstract

Objective: To determine the optimal cut-point on the National Institutes of Health Stroke Scale (NIHSS) for predicting poor 90-day clinical outcome in patients with supra- and infra-tentorial acute ischemic stroke (AIS). Methods: Data are from participants of the alteplase-dose arm of the randomised controlled trial, Enhanced Control of Hypertension and Thrombolysis Stroke Study (ENCHANTED). Associations between baseline characteristics of clinically-defined supratentorial and infratentorial AIS patients and poor functional outcome, defined by scores 3-6 on the modified Rankin scale (mRS), were evaluated in logistic regression models, with area under curve (AUC) receiver operating characteristics defining the optimal NIHSS predictor cut-point. Results: Patients with infratentorial AIS (n=289) had lower baseline NIHSS scores than those with supratentorial AIS (n=2613) (median 7 vs 9; p <0.001). NIHSS cut-point for poor outcome were 10 (AUC 76, sensitivity 65%, specificity 73%) and 6 (AUC 69, sensitivity 72%, specificity 56%) in supratentorial and infratentorial AIS, respectively. There was no significant difference in functional outcome or symptomatic intracranial hemorrhage between AIS types. Conclusions: In thrombolysis-eligible AIS patients, the NIHSS may underestimate clinical severity for infratentorial compared to supratentorial lesions for a similar prognosis for recovery. Because thrombolysis treatment has low effect on stroke outcome in patients with infratentorial AIS when baseline NIHSS score is more than 6, additional treatment such as endovascular treatment should be considered to improve stroke outcome. Trial Registration: The trial is registered with ClinicalTrials.gov (NCT01422616).

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