Construction and Validation of a Hyperkalemia Risk Prediction Model for Chronic Kidney Disease Patients Based on Traditional Chinese Medicine Syndrome Types
Objective:To develop a risk assessment model for hyperkalemia in chronic kidney disease(CKD)patients based on traditional Chinese medicine(TCM)syndrome types.Methods:A retrospective study was conducted on 386 non-dialysis CKD stage 3 to 5 patients who visited the Nephrology Department of Jiangsu Province Hospital of Chinese Medicine from January 2020 to De-cember 2022.Patients were randomly divided into a training set(n=270)and a validation set(n=116)in a 7∶3 ratio.Univariate and multivariate logistic regression analyses were performed to identify risk factors for hyperkalemia in CKD patients,and a risk as-sessment model was constructed.The performance of the model was evaluated using the receiver operating characteristic(ROC)curve,calibration curve,and decision curve analysis(DCA).Results:Hemoglobin levels,CKD stage,presence of diabetes,history of heart failure,use of renin-angiotensin-aldosterone system inhibitors(RAASI),and TCM syndrome types were identified as signifi-cant risk factors for hyperkalemia(P＜0.05).A simple and practical risk assessment model was developed based on these factors.The model demonstrated good discrimination in both the training set(ROC:0.813,95％CI 0.724 to 0.902)and the validation set(ROC:0.847,95％CI 0.793 to 0.910),along with good calibration and clinical benefit.Conclusion:The nomogram based on six key risk factors provides an accurate prediction of hyperkalemia risk in non-dialysis CKD stage 3 to 5 patients,offering a valuable tool for clinical risk stratification and management.
Chronic kidney diseaseHyperkalemiaTraditional Chinese medicine syndrome typesPrediction modelNomogramClinical studyNon-dialysis
万方数据
维普
