1.Analysis on influencing factors of late detection for newly diagnosed HIV/AIDS positive patients in Guangxi in 2015
Chongxing ZHOU ; Xi HU ; Zhiyong SHEN ; Qiuying ZHU ; Qin MENG ; Danyan ZANG ; Liping SONG ; Junjun JIANG ; Jiegang HUANG ; Bingyu LIANG
Chinese Journal of Disease Control & Prevention 2017;21(9):888-890,899
Objective To explore the influencing factors of late diagnosis for newly diagnosed HIV/AIDS positive patients in Guangxi in 2015.Methods The CD4 + T lymphocytes count which was first detection for newly diagnosed HIV/AIDS positive patients in Guangxi during 2015 was collected.Data were statistically analyzed.Results We collected 8 586 newly diagnosed HIV/AIDS whose median CD4+ T lymphocytes counts was 237.5 cells/μl,and 43.12% of them had less than 200 cells/μl.Gender,age,occupation,marriage,nation,education,route of transmission,types of testing and region had effects on late HIV diagnosis(all P < 0.05).Logistic analysis found that risk factors associated with the late diagnosis of HIV were male(OR =1.851,95% CI:1.673-2.048),migrant worker (OR =1.387,95% CI:1.242-1.549),education below middle and secondary school(OR =1.619,95% CI:1.400-1.873),currently married(OR =1.207,95% CI:1.075-1.354),divorced or widowed(OR =1.508,95% CI:1.309-1.738).Voluntary testing was a protective factor.Conclusions The prevalence the late diagnosis of HIV was high in Guangxi in 2015,it is crucial for related departments to enhance the testing and screening effort for HIV/AIDS.
2.Analysis on dynamic variations of CD4-Positive T-Lymphocytes counts and influencing factors among patients receiving highly active antiretroviral therapy in Guangxi Zhuang autonomous region
He JIANG ; Qiuying ZHU ; Guanghua LAN ; Wei LIU ; Chongxing ZHOU ; Zhiyong SHEN
Chinese Journal of Epidemiology 2015;36(10):1125-1128
Objective To understand dynamic variation of CD4-Positive T-Lymphocytes counts and influencing factors among patients receiving highly active anti-retroviral therapy (HAART) in Guangxi.Methods Adult patients who received antiviral treatment for the first time after 1 January 2013 were selected.Their CD4-Positive T-Lymphocytes counts at baseline,6 months and 12 months after treatment were analyzed.By using the general linear model repeated measures ANOVA,CD4-Positive T-Lymphocytes dynamic variations and influencing factors were described and analyzed.Results The average CD4 cell counts of 4 082 patients at baseline,6th months and 12th months were (195.3 ± 155.7) cells/mm3,(331.9 ± 202.6) cells/mm3 and (380.9 ± 221.3) cells/mm3,respectively.The time specific differences in CD4-Positive T-Lymphocytes count among them were statistically significant (F=3 161.124,P=0.000).CD4-Positive T-Lymphocytes counts increased over time after treatment.The main influencing factors were sex,age,baseline CD4 cell count,medication,discontinuation of treatment or dose miss.Influenced by sex,age,medication,discontinuation of treatment or dose miss,the increased CD4-Positive T-Lymphocytes count showed a linear trend.Influenced by baseline CD4-Positive T-Lymphocytes counts and dose miss,the increase of CD4-Positive T-Lymphocytes count showed a trend which was conformed to quadratic curvilinear equation.Conclusion CD4-Positive T-Lymphocytes counts among patients receiving HAART in Guangxi were influenced by many factors.It is necessary to select the time to start treatment according to patient' s characteristics to get good outcome.