Effect of antiretroviral therapy in human immunodeficiency virus-infected children. 2005

Pimpanada Chearskul, and Kulkanya Chokephaibulkit, and Sanay Chearskul, and Wanatpreeya Phongsamart, and Nottasorn Plipat, and Keswadee Lapphra, and Nirun Vanprapar
Department of Pediatrics, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand. pimpanada@hotmail.com

BACKGROUND The appropriate timing of antiretroviral (ARV) therapy initiation in children with human immunodeficiency virus (HIV) infection has been uncertain. There was evidence of poorer outcome in adults who initiated treatment at lower baseline CD4 cell count. However, early initiation may not be possible in resource-limited setting and would increased risk of long term side effects and non-adherence. OBJECTIVE To elucidate the outcome of HIV-infected children who ARV treatment was initiated at different disease stages. METHODS Data from medical records of HIV-infected children who had been followed at Infectious Disease Division, Department of Pediatric Siriraj Hospital were retrospectively reviewed. Clinical response and outcome data were analyzed. RESULTS From September 1996 to March 2004, there were 200 patients with a median age at treatment initiation of 38 (2-175) months. The median duration of follow up period was 26 (1-91) months. The median baseline CD4 cell count was 545 (2-5016) cells/mm3. The median baseline CD4 percentage was 14.25 (0.11-60). Monotherapy or dual nucleoside reverse transcriptase inhibitor (NRTI) regimens were initiated in 134 (67%), and HAARTwas initiated in 66 (33%) patients. The survival rate in patients who initiated with HAART tended to be better than those initiated with dual NRTI regimens but salvaged appropriately (p=0.2377). The survival rate in those initiated treatment at baseline CD4 > or = 15% was better than those initiated at baseline CD4 < 15% (p=0.0471). CONCLUSIONS Initiation of ARV treatment at CD4 more than 15% resulted in a better survival rate than at CD4 below 15%. Initiation with HAART regimen tended to improve survival and resulted in higher CD4 gain especially in cases with baseline CD4< 15%.

UI MeSH Term Description Entries
D007223 Infant A child between 1 and 23 months of age. Infants
D008297 Male Males
D002648 Child A person 6 to 12 years of age. An individual 2 to 5 years old is CHILD, PRESCHOOL. Children
D002675 Child, Preschool A child between the ages of 2 and 5. Children, Preschool,Preschool Child,Preschool Children
D005260 Female Females
D006801 Humans Members of the species Homo sapiens. Homo sapiens,Man (Taxonomy),Human,Man, Modern,Modern Man
D000293 Adolescent A person 13 to 18 years of age. Adolescence,Youth,Adolescents,Adolescents, Female,Adolescents, Male,Teenagers,Teens,Adolescent, Female,Adolescent, Male,Female Adolescent,Female Adolescents,Male Adolescent,Male Adolescents,Teen,Teenager,Youths
D012189 Retrospective Studies Studies used to test etiologic hypotheses in which inferences about an exposure to putative causal factors are derived from data relating to characteristics of persons under study or to events or experiences in their past. The essential feature is that some of the persons under study have the disease or outcome of interest and their characteristics are compared with those of unaffected persons. Retrospective Study,Studies, Retrospective,Study, Retrospective
D015658 HIV Infections Includes the spectrum of human immunodeficiency virus infections that range from asymptomatic seropositivity, thru AIDS-related complex (ARC), to acquired immunodeficiency syndrome (AIDS). HTLV-III Infections,HTLV-III-LAV Infections,T-Lymphotropic Virus Type III Infections, Human,HIV Coinfection,Coinfection, HIV,Coinfections, HIV,HIV Coinfections,HIV Infection,HTLV III Infections,HTLV III LAV Infections,HTLV-III Infection,HTLV-III-LAV Infection,Infection, HIV,Infection, HTLV-III,Infection, HTLV-III-LAV,Infections, HIV,Infections, HTLV-III,Infections, HTLV-III-LAV,T Lymphotropic Virus Type III Infections, Human
D016019 Survival Analysis A class of statistical procedures for estimating the survival function (function of time, starting with a population 100% well at a given time and providing the percentage of the population still well at later times). The survival analysis is then used for making inferences about the effects of treatments, prognostic factors, exposures, and other covariates on the function. Analysis, Survival,Analyses, Survival,Survival Analyses

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