Objective:To evaluate the relationship between the length of stay(LOS)and the risk of readmis-sion within 1 year in patients with heart failure,and explore the optimal LOS patients and the influencing factors of readmission.Methods:Clinical data of patients with heart failure admitted to the Department of Cardiology,Affiliated Hospital of North Sichuan Medical College,between January 1,2018 and December 31,2020 were col-lected.The patients were categorized into four groups based on their length of stay(LOS1:≤5 days,LOS2:6-10 days,LOS3:11-15 days,LOS4:≥16 days).Univariate logistic regression analysis was conducted to assess the relationship between the different LOS groups and readmission risk,and the hospitalization period with the lowest odds ratio(OR)was identified.Patients in the LOS group with the lowest OR were further divided into the readmission and non-readmission groups based on their follow-up readmission status within 1 year.Baseline data between the two groups were compared,and variables with statistically significant differences were included in multivariate logistic regression analysis and receiver operating characteristic curve(ROC).Results:The LOS2 had the lowest OR value.A total of 649 patients was in LOS2 group,including 216 in the readmission group and 433 in the non-readmission group.Multivariate logistic regression analysis revealed that smoking history,blood homo-cysteine(Hcy),N-terminal pro-brain natriuretic peptide(NT-proBNP),and glomerular filtration rate(eGFR)were independent influencing factors for 1-year hospital readmission in patients with heart failure in the LOS2 group(P＜0.05).ROC curve analysis shows that the area under the ROC curve(AUC)for predicting readmission within 1 year for LOS2 patients based on smoking history,Hcy,NT-proBNP,eGFR as individual predictors and in combination were 0.594,0.627,0.643,0.733,and 0.775,respectively.Conclusion:LOS2 had the lowest risk of readmission.The smoking history,Hcy,NT-proBNP,and eGFR are risk factors in the readmission within 1 year for patients in the LOS2 group.
heart failurelength of stayreadmissioninfluencing factorsrisk prediction model
NETL
NSTL
万方数据
