Predictors of early mortality in a cohort of human immunodeficiency virus Type 1-infected African Children
Date
2004Author
Obimbo, Elizabeth M
Mbori-Ngacha, DA
Ochieng, James O
Richardson, Barbra A
Otieno, Phelgona A.
Bosire, Rose
Farquhar, Carey
Overbaugh, Julie
John-Stewart, Grace C
Type
ArticleLanguage
enMetadata
Show full item recordAbstract
Background: Pediatric human immunodeficiency virus type 1
(HIV-1) infection follows a bimodal clinical course with rapid
progression in 10–45% of children before the age of 2 years and
slower progression in the remainder. A prospective observational
study was undertaken to determine predictors of mortality in HIV-
1-infected African infants during the first 2 years of life.
Methods: Infants in a perinatal cohort identified to be HIV-1-
infected by DNA PCR were followed monthly to 1 year, then
quarterly to 2 years or death.
Results: Among 62 HIV-1-infected infants, infection occurred by
the age of 1 month in 56 (90%) infants, and 32 (52%) died at median
age of 6.2 months. All infant deaths were caused by infectious
diseases, most frequently pneumonia (75%) and diarrhea (41%).
Univariate predictors of infant mortality included maternal CD4
count 200 cells/ l hazard ratio (HR), 3.4; P 0.008 , maternal
anemia (HR 3.7; P 0.005), delivery complications (HR 2.7;
P 0.01), low birth weight (HR 4.1; P 0.001), weight, length
and head circumference 5th percentile at age 1 month (HR 3.7,
P 0.003; HR 5.8, P 0.001; and HR 10.4, P 0.001,
respectively), formula-feeding (HR 4.0; P 0.01), infant CD4%
15% (HR 5.5; P 0.01), infant CD4 count 750 (HR 9.7;
P 0.006) and maternal death (HR 2.9, P 0.05). In multivariate
analysis, maternal CD4 count 200 (HR 2.7; P 0.03) and
delivery complications (HR 3.4; P 0.005) were independently
associated with infant mortality.
Conclusions: Advanced maternal HIV disease, maternal anemia,
delivery complications, early growth faltering, formula-feeding and
low infant CD4 were predictors of early mortality in African
HIV-1-infected infants. In resource-poor settings, these predictors
may be useful for early identification and treatment of high risk
infants
URI
http://erepository.uonbi.ac.ke:8080/xmlui/handle/123456789/11838http://www.ncbi.nlm.nih.gov/pubmed/15194835
Citation
Pediatr. Infect. Dis. J.Publisher
Department of Pediatrics, University of Nairobi, Nairobi, Kenya
Collections
- Faculty of Health Sciences (FHS) [10377]