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Updated: May 27, 2026

Pre-Chiasmatic, Single Injection of Autologous Blood to Induce Experimental Subarachnoid Hemorrhage in a Rat Model
Published on: June 18, 2021
Prediction of mortality by hematological parameters on admission in patients with subarachnoid hemorrhage
Nobutake Sadamasa1, Kazumichi Yoshida, Osamu Narumi
1Department of Neurosurgery, Kurashiki Central Hospital, Okayama. ns11267@kchnet.or.jp
This retrospective study investigated the correlations between red blood cell (RBC) count, hemoglobin, and hematocrit on admission, and mortality in 140 patients with subarachnoid hemorrhage (SAH). Correlations between the hematological parameters RBC count, hematocrit, hemoglobin, white blood cell (WBC) count, and platelet count on admission and mortality were investigated. Association of each variable with mortality was tested by univariate and multivariate logistic regression analysis. Univariate analysis showed that mortality was associated with RBC count, hematocrit, hemoglobin, and platelet count. Multivariate logistic regression analysis revealed hematocrit, WBC count, and platelet count were significant independent predictors for mortality after SAH. Hematocrit was a new significant predictor related to mortality in patients with SAH.
This retrospective study investigated the correlations between red blood cell (RBC) count, hemoglobin, and hematocrit on admission, and mortality in 140 patients with subarachnoid hemorrhage (SAH). Correlations between the hematological parameters RBC count, hematocrit, hemoglobin, white blood cell (WBC) count, and platelet count on admission and mortality were investigated. Association of each variable with mortality was tested by univariate and multivariate logistic regression analysis. Univariate analysis showed that mortality was associated with RBC count, hematocrit, hemoglobin, and platelet count. Multivariate logistic regression analysis revealed hematocrit, WBC count, and platelet count were significant independent predictors for mortality after SAH. Hematocrit was a new significant predictor related to mortality in patients with SAH.
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