Risk factors of dyslipidemia among HIV/AIDS patients on HAART and construction of nomogram prediction model
Objective To analyze the incidence and risk factors of dyslipidemia among human immunodeficiency virus(HIV)/acquired immunodeficiency syndrome(AIDS)patients on highly active anti-retroviral therapy(HAART),and construct and verify the nomogram prediction model of dyslipidemia.Methods A total of 253 HIV/AIDS patients in a general hospital in Xinjiang Uygur Autonomous region from January 2022 to December 2022 were divided into dyslipidemia group and normal blood lipid group according to the results of blood lipid test.General clinical data was used to screen for the risk factors of dyslipidemia.A nomogram prediction model was constructed based on the risk factors.Concordance index(C-index),receiver operating characteristic(ROC)curve and calibration chart were used to evaluate the consistency and prediction accuracy of the model.Results There were 141 cases(55.7％)of dyslipidemia in 253 HIV/AIDS patients.Multivariate logistic regression analysis showed that age(OR=1.029),blood glucose(OR=1.397),WHO stage Ⅱ(OR=4.495),body mass index(BMI)≥24.0 kg/m2(OR=9.732)and duration on HAART＞5 years(OR=5.987)were independent risk factors for dyslipidemia in HIV/AIDS patients(all P＜0.05).The nomogram prediction model was constructed based on the results of logistic regression analysis,and the C-index was 0.731.The area under the ROC curve was 0.731(95％CI:0.670-0.792),which showed that the model had accurate prediction ability.The calibration curve showed that the predicted disease situation of the model was in good agreement with the actual disease situation.Conclusion The nomogram prediction model based on age,blood glucose,WHO clinical stage,BMI and duration on HAART had accurate predictive efficacy and could effectively evaluate the risk of dyslipidemia among HIV/AIDS patients on HAART.
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