Key result
The study sought to determine clinical and nonclinical factors to predict 30-day readmission or death in heart failure, but no quantitative results were reported in the abstract.
Why the study?
Does a predictive risk score combining clinical and nonclinical factors accurately predict 30-day readmission or death in patients with heart failure?
Observational
Does a predictive risk score combining clinical and nonclinical factors accurately predict 30-day readmission or death in patients with heart failure?
The development of a risk score combining clinical and nonclinical factors to predict 30-day readmission or death in heart failure patients could help target resource-intensive disease-management programs.
May aid targeting interventions to high-risk HF patients; leaves open need for prospective validation of the score.
Readmissions shortly after heart failure (HF) are common, expensive, and usually considered preventable.1 However, despite the use of several interventions, rates of readmission after HF remain stable.2 An effective risk score might permit the targeting of resource-intensive interventions (such as disease-management programs) specifically on high-risk patients. We sought to determine the combination of clinical and nonclinical factors that would have the best discriminatory power in predicting 30-day readmission or death in HF.
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Huynh et al. (2016) conducted an observational in Heart failure. Clinical and nonclinical factors was evaluated on 30-day readmission or death. The study sought to determine clinical and nonclinical factors to predict 30-day readmission or death in heart failure, but no quantitative results were reported in the abstract.
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