Abstract
Introduction: This study aimed to develop and validate a risk prediction model for predicting the likelihood of coagulation in patients undergoing anticoagulant-free hemodialysis (HD). Anticoagulant-free HD technique is necessary in patients with contraindications to systemic therapy. Coagulation is a complication of this technique. Unfortunately, no predictive model is currently available to assess the risk of coagulation in anticoagulant-free HD. Methods: We retrospectively analyzed the clinical data from 299 HD sessions involving 164 patients who underwent anticoagulant-free HD between January 2022 and June 2023. To identify the risk factors for coagulation in anticoagulant-free HD, a univariate analysis was performed on 18 independent variables. Logistic regression was used to establish predictive models by identifying factors contributing to coagulation in anticoagulant-free HD. A calibration curve was drawn using regression coefficients and 1,000 bootstrap repetitions to validate our model internally. The performance of the prediction model was evaluated using receiver operating characteristic, area under the curve (AUC), and decision curve analysis (DCA). Results: The incidence of coagulation in patients on anticoagulant-free HD was 35.1%. Logistic regression analysis showed that platelet (PLT), hematocrit (HCT) levels, dialysate type, and age were risk factors for coagulation in anticoagulant-free HD patients (p < 0.05). The Hosmer-Lemeshow test showed p = 0.29, and the AUC is 0.76 (95% CI 0.70–0.80). The optimal critical value was 0.40, yielding a sensitivity of 61.0%, a specificity of 80.4%, and a Youden index of 0.41. Conclusion: In anticoagulant-free HD, there were numerous risk factors and a 35.1% occurrence of coagulation. The constructed coagulation risk prediction model exhibited good predictive and clinical utility and could serve as a reference for the initial assessment and screening of coagulation risk in anticoagulant-free HD.
Journal Section:
Research Article
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