Risk Prediction Nomogram Model for Essential Hypertension Patients with Renal Damage Based on Pulse Diagram Parameters
Objective To construct a nomograph model for predicting the risk of renal damage in patients with essential hypertension based on pulse parameters.Methods 518 patients with essential hypertension who were hospitalized in Shuguang Hospital affiliated to Shanghai University of Traditional Chinese Medicine and Cardiology Department of Shanghai Integrated Hospital of Traditional Chinese and Western Medicine from August 2018 to June 2021 were selected,and were divided into hypertension without renal damage group and hypertension with renal damage group according to the evaluation criteria of essential hypertension with renal damage.The general data and blood biochemical indexes of the patients were collected,and the pulse parameters were detected by SMART-I digital pulse analyzer of traditional Chinese medicine,and the differences between the two groups were compared.Single factor and multi factor logistic regression were used to analyze the related parameters;The nomogram model was constructed by R Studio,and the model was evaluated by the ROC curve,calibration curve,and Hosmer Lemeshow goodness of fit test.Results The age,serum uric acid,serum creatinine,urea nitrogen,cystatin C and homocysteine in the group of primary hypertension with renal damage were significantly higher than those in the group without renal damage(P＜0.05).The pulse parameters H4,H3/H1,H4/H1,H5/H1,T1/T4,W1/T in patients with primary hypertension and renal injury were significantly lower than those in patients without renal injury(P＜0.01),and As/Ad was significantly higher than those in patients without renal injury(P＜0.01).Age,current diastolic b1ood pressure,H4/H1,T1/T4,W1/T were independent risk factors of renal damage in patients with essential hypertension.The nomogram model was established based on the above independent risk factors,and the model was tested.The area under the ROC curve was 0.703(95％CI:0.625-0.781),and the calibration curve was well fitted with the ideal curve.The Hosmer Lemeshow goodness of fit test showed that the nomogram model had good calibration.Conclusion The nomogram model based on pulse parameters can accurately predict the risk of renal damage in patients with essential hypertension,and can provide a reference for clinical prediction of the risk of renal damage in patients with essential hypertension.
HypertensionRenal damagePulse parametersNomogram model
万方数据
