TU Pei,LIU Haizhen,TU Yanming,et al.Predictive value of white blood cell to hemoglobin ratio for in‐hospital mortality risk in patients with heart failure[J].Medical Journal of Wuhan University,2025,46(11):1463-1468.
TU Pei,LIU Haizhen,TU Yanming,et al.Predictive value of white blood cell to hemoglobin ratio for in‐hospital mortality risk in patients with heart failure[J].Medical Journal of Wuhan University,2025,46(11):1463-1468.DOI: 10.14188/j.1671-8852.2025.0709.
Predictive value of white blood cell to hemoglobin ratio for in‐hospital mortality risk in patients with heart failure
To investigate the predictive value of the white blood cell to hemoglobin ratio (WHR) for in‐hospital mortality in patients with heart failure (HF) and to assess its clinical application potential as a prognostic marker.
Methods
2
This study employed a retrospective cohort design
consecutively enrolling patients with heart failure admitted to the Department of Cardiology
The Third People's Hospital of Hubei Province Affiliated to Jianghan University from August 2022 to August 2024. Patients were divided into survival group (
n
=202) and mortality group (
n
=50) based on their outcomes during hospitalization. Demographics and laboratory parameters were collected
and statistical analysis was performed to assess the predictive value of WHR for in‐hospital mortality risk in HF patients.
Results
2
WHR was an independent risk factor for in‐hospital mortality in HF patients (
OR
=1.95
95%
CI
: 1.075⁃1.329
P
<
0.001). ROC analysis showed that WHR had good predictive value for in‐hospital mortality among heart failure patients (
AUC
=0.735 7
95%
CI
: 0.658 1⁃0.813 4)
with an optimal cutoff point of 6.449 5 (sensitivity 68.0%
specificity 70.3%). Cox survival analysis indicated that patients with high WHR exhibited a 2.684‐fold increased risk of death (95%
CI
: 2.010⁃6.752).
Conclusion
2
WHR is an independent predictor of in‐hospital mortality in HF patients
with high clinical predictive value
which could serve as a reliable biological marker for early risk assessment and prognosis evaluation. This readily accessible indicator facilitates early risk stratification and prognosis assessment
enabling clinicians to identify high⁃risk cases and optimize therapeutic strategies.
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Related Author
TU Pei
LIU Haizhen
TU Yanming
ZONG Wenxia
LI Chang
ZHANG Yadan
CHEN Yajie
ZHANG Meng
Related Institution
Dept. of Cardiology, Third People's Hospital of Hubei Province Affiliated to Jianghan University
Hubei Key Laboratory of Metabolic and Chronic Diseases
Department of Cardiology, Renmin Hospital of Wuhan University
Department of Cardiology, Renmin Hospital of Wuhan University
Dept. of Cardiovascular Medicine, Zhongnan Hospital of Wuhan University