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dc.contributor.authorHariyono, Rudi
dc.contributor.authorRofi’ah, Ika Ainur
dc.date.accessioned2025-09-17T08:10:57Z
dc.date.available2025-09-17T08:10:57Z
dc.date.issued2025-01-06
dc.identifier.urihttps://repositori.stikes-ppni.ac.id/handle/123456789/3843
dc.description.abstractStroke remains a leading global cause of mortality and disability, necessitating effective tools for early risk stratification. This systematic review evaluates the prognostic performance of Early Warning Scores (EWS)—MEWS, NEWS, and NEWS2—in predicting in-hospital mortality among stroke patients. Five studies published between 2021 and 2025 were included, encompassing diverse stroke subtypes and care settings. Across studies, higher EWS values were consistently associated with increased mortality risk, with odds ratios ranging from 2.44 to 3.21 and AUROC values between 0.69 and 0.79. NEWS2 generally outperformed MEWS and NEWS. Importantly, models incorporating neurological assessments, particularly the Glasgow Coma Scale (GCS), significantly improved predictive accuracy (AUROC 0.87). While EWS are valuable for early detection of deterioration, their performance in stroke is enhanced by integrating neurological parameters. These findings support the development of combined scoring systems and digital integration to optimize early intervention strategies in acute stroke care across varied healthcare settingsen_US
dc.publisherJSRET (Journal of Scientific, Research, Education, and Technology)en_US
dc.relation.ispartofseriesVolume 4 Number 3 2025;
dc.subjectStroke,en_US
dc.subjectMortality Prediction,en_US
dc.subjectEarly Warning Score,en_US
dc.subjectNEWS2,In-Hospital Mortalityen_US
dc.titleThe Prognostic Value Of Early Warning Scores In Predicting Mortality Among Stroke Patients: A Systematic Reviewen_US
dc.typeArticleen_US


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