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 / 中华流行病学杂志
Chinese Journal of Epidemiology
;
(12): 1125-1128, 2015.
Artigo
em Chinês
| WPRIM
| ID: wpr-248696
ABSTRACT
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.
Texto completo:
DisponíveL
Índice:
WPRIM (Pacífico Ocidental)
Tipo de estudo:
Estudo prognóstico
Idioma:
Chinês
Revista:
Chinese Journal of Epidemiology
Ano de publicação:
2015
Tipo de documento:
Artigo
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