Objective To explore the risk factors of postprandial hypotension(PPH)in elderly hypertensive patients,construct a risk prediction model for postprandial hypotension,and provide a theoretical basis for the prevention and management of postprandial hypotension in elderly hypertensive patients.Methods A total of 343 hypertensive patients from a tertiary general hospital in Shandong Province were selected using convenience sampling from September to December 2023.Risk factors were screened using LASSO regression and binary logistic regression,and a risk predic-tion nomogram model was constructed.The discrimination and calibration of the model were evaluated using the receiver operating characteristic curve(ROC)and Hosmer-Lemeshow goodness-of-fit test.The model was internally validated using the Bootstrap resampling method.Results Six factors were finally included in the model:age,long-term high-car-bohydrate diet,time of taking antihypertensive medication,pre-meal systolic blood pressure level,low-density lipoprotein,and history of diabetes.The model had good fit,with an area under the ROC curve of 0.887(P＜0.001).The Hosmer-Lemeshow goodness-of-fit test(χ2=7.487,P=0.485).The Bootstrap internal validation method showed that the calibra-tion curve of the Nomogram model basically overlapped with the ideal curve,indicating good fit.Conclusion The risk prediction model for postprandial hypotension in elderly hypertensive patients has good fit and predictive effect.
维普
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