The demographic and laboratory predictors of long-stay patients with ischemic stroke were sought in this retrospective hospital-based study. In the univariate and multivariate analysis, advanced age, male gender, leukocytosis, elevated creatinine, low-serum albumin, elevated alkaline transaminases, and lactate dehydrogenase were identified as independent predictors of “long” stayers. At an optimal probability cut-offs, the receiver operating curve incorporating these variables was 0.70, sensitivity 68%, specificity 80%, positive-predictive value 39% and negative-predictive value 95%. Application of this information may assist physicians to triage patients at risk of severe stroke for early therapy and care.
Demographic characteristics Laboratory features Length of stay Ischemic stroke Prediction model Singapore
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We thank staff from the Division of Neurology, National University Hospital, Singapore, for their clinical contribution and Hendry Wangsa for electronic retrieval of information used in this study. We declare that we do not have any financial interest that may arise from this publication, which was prepared without any external sources of funding.
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