OBJECTIVES: To determine which clinical and immunological features of patients with symptomatic HIV-1 and HIV-2 infection best predict survival in The Gambia. METHODS: All patients presenting to two hospitals in The Gambia between January 1987 and June 1990 with symptoms or signs suggesting chronic HIV infection were tested for HIV-1 and HIV-2 antibodies. Eighteen HIV-1 and 31 HIV-2-infected patients were recruited to the study, investigated intensively on admission and followed up until the end of 1990. Presenting clinical features, such as Karnofsky score, diagnosis of AIDS according to World Health Organization Bangui or Centers for Disease Control criteria and number of associated infections, together with five immunological measurements, as well as type of HIV infection, were related to length of survival using proportional hazard models fitted to Kaplan-Meier plots of survival times. RESULTS: Karnofsky score and diagnosis of AIDS were the best clinical predictors of survival. Type of HIV infection or number of associated infections did not predict outcome. The most powerful laboratory predictors were log(e) serum neopterin level, CD4 cell count and log(e) serum beta 2-microglobulin (beta 2M) level. The estimated median survival times (90% confidence interval) of the HIV-1 and HIV-2-infected were six (4-11) and 13 (9-20) months, respectively. These survival times do not differ significantly. CONCLUSIONS: The Karnofsky score and measurements of serum neopterin or beta 2M, which are easier and cheaper to perform than CD4 counts, may prove to be useful guides to prognosis for HIV infection in Africa.
OBJECTIVES: To determine which clinical and immunological features of patients with symptomatic HIV-1 and HIV-2 infection best predict survival in The Gambia. METHODS: All patients presenting to two hospitals in The Gambia between January 1987 and June 1990 with symptoms or signs suggesting chronic HIV infection were tested for HIV-1 and HIV-2 antibodies. Eighteen HIV-1 and 31 HIV-2-infectedpatients were recruited to the study, investigated intensively on admission and followed up until the end of 1990. Presenting clinical features, such as Karnofsky score, diagnosis of AIDS according to World Health Organization Bangui or Centers for Disease Control criteria and number of associated infections, together with five immunological measurements, as well as type of HIV infection, were related to length of survival using proportional hazard models fitted to Kaplan-Meier plots of survival times. RESULTS: Karnofsky score and diagnosis of AIDS were the best clinical predictors of survival. Type of HIV infection or number of associated infections did not predict outcome. The most powerful laboratory predictors were log(e) serum neopterin level, CD4 cell count and log(e) serum beta 2-microglobulin (beta 2M) level. The estimated median survival times (90% confidence interval) of the HIV-1 and HIV-2-infected were six (4-11) and 13 (9-20) months, respectively. These survival times do not differ significantly. CONCLUSIONS: The Karnofsky score and measurements of serum neopterin or beta 2M, which are easier and cheaper to perform than CD4 counts, may prove to be useful guides to prognosis for HIV infection in Africa.
Entities:
Keywords:
Acquired Immunodeficiency Syndrome; Africa; Africa South Of The Sahara; Biology; Demographic Analysis; Developing Countries; Diseases; English Speaking Africa; Examinations And Diagnoses; Follow-up Studies; Gambia; Hematologic Tests; Hiv Infections; Immunity; Immunologic Factors; Laboratory Examinations And Diagnoses; Laboratory Procedures; Life Table Method; Physical Examinations And Diagnoses; Physiology; Research Methodology; Studies; Viral Diseases; Western Africa
Authors: I Cochereau; N Mlika-Cabanne; P Godinaud; T Niyongabo; B Poste; A Ngayiragije; M C Dazza; P Aubry; B Larouzé Journal: Br J Ophthalmol Date: 1999-03 Impact factor: 4.638
Authors: P Colson; M Henry; C Tourres; D Lozachmeur; H Gallais; J A Gastaut; J Moreau; C Tamalet Journal: J Clin Microbiol Date: 2004-02 Impact factor: 5.948
Authors: F Gao; L Yue; D L Robertson; S C Hill; H Hui; R J Biggar; A E Neequaye; T M Whelan; D D Ho; G M Shaw Journal: J Virol Date: 1994-11 Impact factor: 5.103
Authors: Philip J Peters; Isaac Zulu; Nzali G Kancheya; Shabir Lakhi; Elwyn Chomba; Cheswa Vwalika; Dhong-Jin Kim; Ilene Brill; Jareen Meinzen-Derr; Amanda Tichacek; Susan A Allen Journal: AIDS Res Hum Retroviruses Date: 2008-07 Impact factor: 2.205
Authors: Samuel Nyamweya; John Townend; Akram Zaman; Sarah Jane Steele; David Jeffries; Sarah Rowland-Jones; Hilton Whittle; Katie L Flanagan; Assan Jaye Journal: PLoS One Date: 2012-09-10 Impact factor: 3.240
Authors: Aleksandra Leligdowicz; Louis-Marie Yindom; Clayton Onyango; Ramu Sarge-Njie; Abraham Alabi; Matthew Cotten; Tim Vincent; Carlos da Costa; Peter Aaby; Assan Jaye; Tao Dong; Andrew McMichael; Hilton Whittle; Sarah Rowland-Jones Journal: J Clin Invest Date: 2007-10 Impact factor: 14.808