Key result
Clinical risk prediction tools using admission characteristics, vital signs, and laboratory results can reliably stratify patients hospitalized with heart failure into low, intermediate, and high mortality risk groups.
Why the study?
Do clinical risk prediction tools accurately predict mortality in patients hospitalized with heart failure?
Population
Patients hospitalized with heart failure
Design
Review
Authors
Loading...
May aid in-hospital HF risk stratification; leaves open prospective validation of outcome impact.
Do clinical risk prediction tools accurately predict mortality in patients hospitalized with heart failure?
The integration of validated clinical risk prediction tools into practice can accurately stratify mortality risk in patients hospitalized with heart failure, potentially guiding triage, monitoring, and the application of evidence-based therapies.
Gregg C. Fonarow (2012) conducted a review in Heart failure. Clinical risk prediction tools was evaluated on Mortality risk stratification (in-hospital, 30-day, and 1-year). Clinical risk prediction tools using admission characteristics, vital signs, and laboratory results can reliably stratify patients hospitalized with heart failure into low, intermediate, and high mortality risk groups.
Synapse has enriched 4 closely related papers on similar clinical questions. Consider them for comparative context: