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Prediction of mortality by hematological parameters on admission in patients with subarachnoid hemorrhage. | LitMetric

AI Article Synopsis

  • - This study examined 140 patients with subarachnoid hemorrhage (SAH) to find links between blood measurements (like RBC count, hemoglobin, and hematocrit) and patient mortality upon admission.
  • - Using statistical methods, the research identified that lower levels of RBC count, hematocrit, hemoglobin, and platelet count were all associated with higher mortality rates.
  • - Specifically, hematocrit, along with white blood cell and platelet counts, was determined to be a significant independent predictor of mortality, highlighting hematocrit as a new factor in assessing risk for patients with SAH.

Article Abstract

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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Source
http://dx.doi.org/10.2176/nmc.51.745DOI Listing

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