Abstract: Objective To analyze the changes in the prevalence of abnormal glucose and lipid metabolism among newly treated HIV-infected patients in Guangzhou from 2010 to 2021,and explore the influence of gender,age,period,and cohort factors. Methods Based on the treatment data of 16 454 newly treated HIV-infected patients at Guangzhou Eighth People's Hospital from 2010 to 2021,the trends in the prevalence of abnormal glucose,triglyceride,and cholesterol metabolism were analyzed by using Joinpoint regression,and the influencing factors of prevalence change were analyzed by using age-period-cohort model. Results Among the 16 454 newly treated HIV-infected patients,the mean age was （36.78±12.07） years old,and 13 783 （83.8%） were males. From 2010 to 2021,the prevalence of abnormal glucose metabolism （AAPC=-2.4%,95% CI：-5.31% - 0.50%,P=0.103）,abnormal triglyceride metabolism （APC=AAPC=-4.13%,95% CI：-7.59% - -0.54%,P=0.029）,and abnormal cholesterol metabolism （APC=AAPC= -13.47%,95% CI：-16.03% - -10.84%,P < 0.001） showed a downward trend. The prevalence of abnormal lipid metabolism in females was higher than that in males. The results of the age-period-cohort model showed that the prevalence of abnormal glucose metabolism and triglyceride metabolism was highest in the age of 40-50 years,the prevalence of abnormal cholesterol metabolism gradually declined with age; the prevalence of abnormal glucose and lipid metabolism showed an overall decreasing trend with the period; and the prevalence of abnormal glucose and lipid metabolism was higher in the population of the earlier birth cohort. Conclusions The overall burden of abnormal glucose and lipid metabolism among newly treated HIV-infected patients has decreased in recent years. However,there is a need to enhance the prevention and control measures for abnormal glucose metabolism. Females,middle-aged and older groups,and earlier infected individuals are at high risk for abnormal glucose and lipid metabolism.

Key words: Antiretroviral therapy, HIV, Abnormal glucose and lipid metabolism, Joinpoint regression model, Age-period-cohort model