Your browser doesn't support javascript.
loading
Show: 20 | 50 | 100
Results 1 - 3 de 3
Filter
1.
J Int AIDS Soc ; 14: 46, 2011 Sep 28.
Article in English | MEDLINE | ID: mdl-21955541

ABSTRACT

BACKGROUND: East Africa has experienced a rapid expansion in access to antiretroviral therapy (ART) for HIV-infected patients. Regionally representative socio-demographic, laboratory and clinical characteristics of patients accessing ART over time and across sites have not been well described. METHODS: We conducted a cross-sectional analysis of characteristics of HIV-infected adults initiating ART between 2002 and 2009 in Kenya, Uganda and Tanzania and in the International Epidemiologic Databases to Evaluate AIDS Consortium. Characteristics associated with advanced disease (defined as either a CD4 cell count level of less than 50 cells/mm3 or a WHO Stage 4 condition) at the time of ART initiation and use of stavudine (D4T) or nevirapine (NVP) were identified using a log-link Poisson model with robust standard errors. RESULTS: Among 48,658 patients (69% from Kenya, 22% from Uganda and 9% from Tanzania) accessing ART at 30 clinic sites, the median age at the time of ART initiation was 37 years (IQR: 31-43) and 65% were women. Pre-therapy CD4 counts rose from 87 cells/mm3 (IQR: 26-161) in 2002-03 to 154 cells/mm3 (IQR: 71-233) in 2008-09 (p<0.001). Accessing ART at advanced disease peaked at 35% in 2005-06 and fell to 27% in 2008-09. D4T use in the initial regimen fell from a peak of 88% in 2004-05 to 59% in 2008-09, and a greater extent of decline was observed in Uganda than in Kenya and Tanzania. Self-pay for ART peaked at 18% in 2003, but fell to less than 1% by 2005. In multivariable analyses, accessing ART at advanced immunosuppression was associated with male sex, women without a history of treatment for prevention of mother to child transmission (both as compared with women with such a history) and younger age after adjusting for year of ART initiation and country of residence. Receipt of D4T in the initial regimen was associated with female sex, earlier year of ART initiation, higher WHO stage, and lower CD4 levels at ART initiation and the absence of co-prevalent tuberculosis. CONCLUSIONS: Public health ART services in east Africa have improved over time, but the fraction of patients accessing ART with advanced immunosuppression is still high, men consistently access ART with more advanced disease, and D4T continues to be common in most settings. Strategies to facilitate access to ART, overcome barriers among men and reduce D4T use are needed.


Subject(s)
Anti-HIV Agents/administration & dosage , Antiretroviral Therapy, Highly Active/methods , HIV Infections/drug therapy , HIV Infections/pathology , Adult , CD4 Lymphocyte Count , Cross-Sectional Studies , Drug Utilization/statistics & numerical data , Female , HIV Infections/epidemiology , HIV Infections/virology , Humans , Immune Tolerance , Kenya/epidemiology , Male , Middle Aged , Nevirapine/administration & dosage , Sex Factors , Stavudine/administration & dosage , Tanzania/epidemiology , Uganda/epidemiology
2.
Antivir Ther ; 13 Suppl 2: 77-82, 2008.
Article in English | MEDLINE | ID: mdl-18575194

ABSTRACT

BACKGROUND: In resource-limited settings where antiretroviral treatment (ART) access is being scaled-up, the World Health Organization (WHO) recommends surveillance of transmitted HIV drug resistance (HIVDR). We used the WHO HIVDR threshold survey method to assess transmitted HIVDR in Dar es Salaam where ART was introduced in 1995 and where approximately 11,000 people are currently on ART. METHODS: From November 2005 to February 2006, dried blood spot (DBS) specimens were made from remnant specimens collected during the national HIV serosurvey from 60 primagravidas <25 years old attending six antenatal clinics for routine syphilis testing. Genotyping was performed at the Centers for Disease Control and Prevention, Atlanta, Georgia, USA. Protease and reverse transcriptase drug resistance mutations were identified using the Stanford University HIV drug resistance database. We used the National Institutes of Health genotyping tool for HIV-1 subtyping. HIVDR prevalence categorization was based on the WHO threshold survey binomial sequential sampling method. RESULTS: Among the 60 eligible specimens collected, 50 DBS were successfully amplified using RT-PCR. Sequencing was performed on the first 39 specimens: 13 (33.3%) were subtype A1, 13 (33.3%) subtype C, and 4 (10.3%) subtype D, the remainder differed in the closest subtype based on protease versus reverse transcriptase. No resistance mutations were seen; HIVDR to all drug classes was categorized as <5%. CONCLUSIONS: Our survey indicates that prevalence of transmitted HIVDR among recently infected pregnant women in Dar es Salaam is low (<5/%). The survey should be repeated during the next HIV sentinel survey in Dar es Salaam and extended to other regions where ART is being scaled up.


Subject(s)
Anti-Retroviral Agents/therapeutic use , Drug Resistance, Viral/genetics , HIV Infections/transmission , HIV-1/genetics , National Health Programs , Prenatal Care , Adult , DNA Mutational Analysis , Female , Genotype , HIV Infections/drug therapy , HIV Infections/epidemiology , HIV Infections/virology , HIV Seroprevalence , Humans , Mutation , National Health Programs/statistics & numerical data , Pregnancy , Prenatal Care/statistics & numerical data , Reverse Transcriptase Polymerase Chain Reaction , Sentinel Surveillance , Tanzania/epidemiology , Treatment Outcome , World Health Organization
3.
BMC Public Health ; 6: 120, 2006 May 03.
Article in English | MEDLINE | ID: mdl-16672043

ABSTRACT

BACKGROUND: The Estimations and Projections Package (EPP 2005) for HIV/AIDS estimates and projects HIV prevalence, number of people living with HIV and new HIV infections and AIDS cases using antenatal clinic (ANC) surveillance data. The prevalence projection produced by EPP can be transferred to SPECTRUM, a demographic projection model, to calculate the number of AIDS deaths. This paper presents estimates and projections of HIV prevalence, new cases of HIV infections and AIDS deaths in Tanzania between 2001 and 2010 using the EPP 2005 and SPECTRUM soft-wares on ANC data. METHODS: For this study we used; the 1985-2004 ANC data set, the 2005 UN population estimates for urban and rural adults, which is based on the 2002 population census, and results of the 2003 Tanzania HIV Indicator Survey. The ANC surveillance sites were categorized into urban and rural areas on the basis of the standard national definitions of urban and rural areas, which led to 40 urban and 35 rural clinic sites. The rural and urban epidemics were run independently by fitting the model to all data and on level fits. RESULTS: The national HIV prevalence increased from 0% in 1981 to a peak of 8.1% in 1995, and gradually decreased to 6.5% in 2004 which stabilized until 2010. The urban HIV epidemic increased from 0% in 1981 peaking at 12.6% in 1992 and leveled to between 10.9% and 11.8% from 2003 to 2010. The rural epidemic peaked in 1995 at 7.0% and gradually declined to 5.2% in 2004, and then stabilized at between 5.1% and 5.3% from 2005 to 2010. New infections are projected to rise steadily, resulting in 250,000 new cases in 2010. Deaths due to AIDS started in 1985 and rose steadily to reach 120,000 deaths in 2010, with more females dying than men. CONCLUSION: The fact that the number of new infections is projected to increase steadily to reach 250,000 per year in 2010 calls for more concerted efforts to combat the spread of HIV infection particularly in the rural areas where the infrastructure needed for prevention programmes such as counseling and testing, condom accessibility and AIDS information is less developed.


Subject(s)
HIV Infections/epidemiology , Pregnancy Complications, Infectious/epidemiology , Prenatal Care/statistics & numerical data , Rural Health/trends , Sentinel Surveillance , Urban Health/trends , Acquired Immunodeficiency Syndrome/epidemiology , Acquired Immunodeficiency Syndrome/mortality , Adolescent , Adult , Female , Forecasting , HIV Infections/mortality , Health Surveys , Humans , Male , Middle Aged , Pregnancy , Prevalence , Rural Health/statistics & numerical data , Tanzania/epidemiology , Urban Health/statistics & numerical data
SELECTION OF CITATIONS
SEARCH DETAIL
...