Why the study?
Does the RPSS model accurately predict in-hospital mortality in elderly patients with acute heart failure compared to the GWTG-HF score?
Does the RPSS model accurately predict in-hospital mortality in elderly patients with acute heart failure compared to the GWTG-HF score?
A novel risk prediction score system incorporating heart rate, LVEF, pH, eGFR, and NT-proBNP accurately predicts in-hospital mortality in elderly patients with acute heart failure, outperforming the established GWTG-HF score.
May aid elderly AHF risk stratification; leaves open prospective validation before clinical adoption.
OBJECTIVES: The aim of this study was to develop a clinical risk model that is predictive of in-hospital mortality in elderly patients hospitalized with acute heart failure (AHF). METHODS: 2486 patients who were 60 years and older from intensive care units of Cardiology Department in the hospital were analyzed. Independent risk factors for in-hospital mortality were obtained by binary logistic regression and then used to establish the risk prediction score system (RPSS). The area under the curve (AUC) of receiver operator characteristic and C-statistic test were adopted to assess the performance of RPSS and to compare with previous get with the guidelines-heart failure (GWTG-HF). RESULTS: = 0.016). CONCLUSIONS: Our risk prediction model, RPSS, provided a good prediction for in-hospital mortality in elderly patients with AHF.
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Jia et al. (2017) studied this question.
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