AUTHOR=Liu Lei , Dong Xuetao , Liu Yaodong , Wang Shaozhen , Wei Liudong , Duan Lian , Zhang Qingjun , Zhang Kun 

TITLE=Predictive value of white blood cell to hemoglobin ratio for 30-day mortality in patients with severe intracerebral hemorrhage

JOURNAL=Frontiers in Neurology

VOLUME=Volume 14 - 2023

YEAR=2024

URL=https://www.frontiersin.org/journals/neurology/articles/10.3389/fneur.2023.1222717

DOI=10.3389/fneur.2023.1222717

ISSN=1664-2295

ABSTRACT=Aim: To explore the predictive value of white blood cell to hemoglobin ratio (WHR) for 30-day mortality of intracerebral hemorrhage (ICH) patients.: In this cohort study, 2848 ICH patients were identified in the Medical Information Mart for Intensive Care (MIMIC)-III and MIMIC-IV. Least absolute shrinkage and selection operator (LASSO) regression screened covariates of 30-day mortality of ICH patients. COX regression analysis was used to study the association of different levels of WHR, white blood cell (WBC), and hemoglobin (Hb) with 30-day mortality. The median follow-up time was 30 (20.28, 30.00) days. Results: In total, 2068 participants survived at the end of the follow-up. WHR was negatively correlated with Glasgow Coma Score (GCS) (spearman correlation coefficient=-0.143, P<0.001), and positively associated with Sepsis-related Organ Failure Assessment (SOFA) score (spearman correlation coefficient=0.156, P<0.001), quick SOFA (qSOFA) score (spearman correlation coefficient=0.156, P<0.001), and Simplified Acute Physiology Score II (SAPS-II) (spearman correlation coefficient=0.213, P<0.001). After adjusting for confounders, WHR >0.833 (HR=1.64, 95%CI: 1.39-1.92), and WBC >10.9 K/uL (HR=1.49, 95%CI: 1.28-1.73) were associated with increased risk of 30-day mortality of ICH patients. The area under the curve (AUC) value of the prediction model based on WHR and other predictors was 0.78 (95%CI: 0.77-0.79), which was higher than SAPSII (AUC=0.75, 95%CI: 0.74-0.76), SOFA score (AUC=0.69, 95%CI: 0.68-0.70) and GCS (AUC=0.59, 95%CI: 0.57-0.60).The level of WHR was associated with 30-day mortality in patients with severe ICH, and WHR-based prediction model might provide a tool to quickly predict 30-day mortality in ICH patients.