Key result
Adding NT-proBNP and hs-cTnT to clinical variables improves morbidity and mortality prediction in HFrEF.
Why the study?
Does a biomarker-driven prognostic model combining NT-proBNP and hs-cTnT with clinical variables predict morbidity and mortality in patients with HFrEF?
Does a biomarker-driven prognostic model combining NT-proBNP and hs-cTnT with clinical variables predict morbidity and mortality in patients with HFrEF?
Answers are grounded in this paper and cite their sources.
A predictive tool kit combining NT-proBNP, hs-cTnT, and basic clinical variables can be easily implemented for routine prognostic assessment in HFrEF.
The combination of NT-proBNP and hs-cTnT with a small number of readily available clinical variables provides prognostic assessment for patients with HFrEF. This predictive tool kit can be easily implemented for routine clinical use.
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Pocock et al. (2021) studied this question. Combining NT-proBNP and hs-cTnT with clinical variables predicts morbidity and mortality in patients with heart failure with reduced ejection fraction.
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