Construction and evaluation of a risk prediction model for 30-day readmission in elderly patients with HF
Objective:To construct a risk prediction model for 30-day readmission in elderly patients with HF and evaluate it.Methods:210 elderly patients with HF were selected.The risk factors for 30-day readmission were analyzed and a prediction model was constructed.The efficacy of this model was evaluated.Results:The 30-day readmission in this study was 16.19%.Age,course of HF,NYHA classification of cardiac function,anxiety,depression,medication compliance after discharge and history of PCI were independent risk factors for 30-day readmission in elderly patients with HF(P<0.05).ROC curve analysis results showed that the AUC,specificity and sensitivity of the prediction model for predicting the risk of 30-day readmission in elderly patients with HF were 0.845%,77.30%and 84.20%.Conclusion:Elderly patients with HF have a higher risk of 30-day readmission.The prediction model constructed based on risk factors has good predictive value.
Heart failureElderlyReadmission riskRisk factorPrediction model