Title |
Utility of clinical parameters to identify HIV infection in infants below ten weeks of age in South Africa: a prospective cohort study
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Published in |
BMC Pediatrics, November 2011
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DOI | 10.1186/1471-2431-11-104 |
Pubmed ID | |
Authors |
Heather B Jaspan, Landon Myer, Shabir A Madhi, Avy Violari, Diana M Gibb, Wendy S Stevens, Els Dobbels, Mark F Cotton |
Abstract |
As HIV-infected infants have high mortality, the World Health Organization now recommends initiating antiretroviral therapy as early as possible in the first year of life. However, in many settings, laboratory diagnosis of HIV in infants is not readily available. We aimed to develop a clinical algorithm for HIV presumptive diagnosis in infants < 10 weeks old using screening data from the Children with HIV Early Antiretroviral therapy (CHER) study in South Africa.HIV-infected and HIV-uninfected exposed infants < 10 weeks of age were identified through Vertical Transmission Prevention programs. Clinical and laboratory data were systematically recorded, groups were compared using Kruskal-Wallis, analysis of variance (ANOVA), and Fisher's exact tests. Receiver Operating Characteristic (ROC) curves were compiled using combinations of clinical findings. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 2 | 67% |
Unknown | 1 | 33% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 3 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 1 | 1% |
Ethiopia | 1 | 1% |
Unknown | 76 | 97% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 18 | 23% |
Student > Master | 16 | 21% |
Student > Ph. D. Student | 9 | 12% |
Student > Doctoral Student | 7 | 9% |
Student > Postgraduate | 4 | 5% |
Other | 11 | 14% |
Unknown | 13 | 17% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 33 | 42% |
Nursing and Health Professions | 6 | 8% |
Social Sciences | 5 | 6% |
Agricultural and Biological Sciences | 3 | 4% |
Immunology and Microbiology | 3 | 4% |
Other | 12 | 15% |
Unknown | 16 | 21% |