A combined model incorporating BMI, NT-proBNP, factor VIII, and adherence scores accurately predicted recurrent readmission in VTE patients (AUC 0.849; 95% CI 0.767-0.930).
Cohort (n=121)
No
Elevated BMI, NT-proBNP, and factor VIII, along with poor medication adherence and self-management, are independent predictors of recurrent readmission in patients with primary VTE.
Effect estimate: AUC 0.849 (95% CI 0.767-0.930)
To identify factors influencing recurrent readmission in patients diagnosed with Venous thromboembolism (VTE) who underwent interventional or surgical procedures and propose an evidence-based nursing strategy. This retrospective cohort study included 121 patients with VTE admitted to Shanxi Bethune Hospital (February 2022-February 2025). Patients were divided into recurrence and non-recurrence groups based on readmission. Independent predictors were identified using logistic regression. Model performance was assessed by ROC curves, nomograms, and calibration plots. Recurrent readmission occurred in 24 patients (19.83%). Independent predictors included BMI (OR = 1.625), NT-proBNP (OR = 1.014), factor VIII (OR = 1.032), MMAS-8 (OR = 0.587), and AHSMSRS scores (OR = 0.950). The combined model showed excellent predictive accuracy (AUC = 0.849; 95% CI: 0.767-0.930), with good calibration. Elevated BMI, NT-proBNP, and factor VIII, along with poor medication adherence and self-management, predict VTE recurrence. Early identification and targeted nursing interventions may reduce readmission rates.
Wang et al. (Fri,) conducted a cohort in Venous thromboembolism (n=121). Combined predictive model (BMI, NT-proBNP, factor VIII, MMAS-8, and AHSMSRS scores) was evaluated on Recurrent readmission (AUC 0.849, 95% CI 0.767-0.930). A combined model incorporating BMI, NT-proBNP, factor VIII, and adherence scores accurately predicted recurrent readmission in VTE patients (AUC 0.849; 95% CI 0.767-0.930).