Key result
Novel clinical model predicts in-hospital mortality with an AUC of 0.86.
Why the study?
Mortality rates following heart failure diagnosis in India are significantly higher, reflecting gaps in early detection, risk stratification, and long-term management.
Observational (n=165)
No
Effect estimate: AUC 0.86 (95% CI 0.79-0.92)
A clinical prediction model using routinely available variables (age, LVEF, creatinine, sodium, hemoglobin, COPD) accurately predicts in-hospital mortality in heart failure patients in a resource-limited setting.
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Dr. Manjushri Sharma (2025) conducted an observational in Heart failure (n=165). Clinical prediction model (age, LVEF, creatinine, sodium, hemoglobin, COPD) was evaluated on In-hospital all-cause mortality prediction performance (AUC) (AUC 0.86, 95% CI 0.79-0.92). A multivariable clinical prediction model incorporating age, LVEF, creatinine, sodium, hemoglobin, and COPD demonstrated excellent discrimination for in-hospital mortality with an AUC of 0.86.
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