Unknown

Dataset Information

0

Immunodeficiency at the start of combination antiretroviral therapy in low-, middle-, and high-income countries.


ABSTRACT: OBJECTIVE:To describe the CD4 cell count at the start of combination antiretroviral therapy (cART) in low-income (LIC), lower middle-income (LMIC), upper middle-income (UMIC), and high-income (HIC) countries. METHODS:Patients aged 16 years or older starting cART in a clinic participating in a multicohort collaboration spanning 6 continents (International epidemiological Databases to Evaluate AIDS and ART Cohort Collaboration) were eligible. Multilevel linear regression models were adjusted for age, gender, and calendar year; missing CD4 counts were imputed. RESULTS:In total, 379,865 patients from 9 LIC, 4 LMIC, 4 UMIC, and 6 HIC were included. In LIC, the median CD4 cell count at cART initiation increased by 83% from 80 to 145 cells/?L between 2002 and 2009. Corresponding increases in LMIC, UMIC, and HIC were from 87 to 155 cells/?L (76% increase), 88 to 135 cells/?L (53%), and 209 to 274 cells/?L (31%). In 2009, compared with LIC, median counts were 13 cells/?L [95% confidence interval (CI): -56 to +30] lower in LMIC, 22 cells/?L (-62 to +18) lower in UMIC, and 112 cells/?L (+75 to +149) higher in HIC. They were 23 cells/?L (95% CI: +18 to +28 cells/?L) higher in women than men. Median counts were 88 cells/?L (95% CI: +35 to +141 cells/?L) higher in countries with an estimated national cART coverage >80%, compared with countries with <40% coverage. CONCLUSIONS:Median CD4 cell counts at the start of cART increased 2000-2009 but remained below 200 cells/?L in LIC and MIC and below 300 cells/?L in HIC. Earlier start of cART will require substantial efforts and resources globally.

SUBMITTER: IeDEA and ART Cohort Collaborations 

PROVIDER: S-EPMC3894575 | biostudies-literature | 2014 Jan

REPOSITORIES: biostudies-literature

altmetric image

Publications

Immunodeficiency at the start of combination antiretroviral therapy in low-, middle-, and high-income countries.

Avila Dorita D   Althoff Keri N KN   Mugglin Catrina C   Wools-Kaloustian Kara K   Koller Manuel M   Dabis François F   Nash Denis D   Gsponer Thomas T   Sungkanuparph Somnuek S   McGowan Catherine C   May Margaret M   Cooper David D   Chimbetete Cleophas C   Wolff Marcelo M   Collier Ann A   McManus Hamish H   Davies Mary-Ann MA   Costagliola Dominique D   Crabtree-Ramirez Brenda B   Chaiwarith Romanee R   Cescon Angela A   Cornell Morna M   Diero Lameck L   Phanuphak Praphan P   Sawadogo Adrien A   Ehmer Jochen J   Eholie Serge P SP   Li Patrick C K PC   Fox Matthew P MP   Gandhi Neel R NR   González Elsa E   Lee Christopher K C CK   Hoffmann Christopher J CJ   Kambugu Andrew A   Keiser Olivia O   Ditangco Rossana R   Prozesky Hans H   Lampe Fiona F   Kumarasamy Nagalingeswaran N   Kitahata Mari M   Lugina Emmanuel E   Lyamuya Rita R   Vonthanak Saphonn S   Fink Valeria V   d'Arminio Monforte Antonella A   Luz Paula Mendes PM   Chen Yi-Ming A YM   Minga Albert A   Casabona Jordi J   Mwango Albert A   Choi Jun Y JY   Newell Marie-Louise ML   Bukusi Elizabeth A EA   Ngonyani Kapella K   Merati Tuti P TP   Otieno Juliana J   Bosco Mwebesa B MB   Phiri Sam S   Ng Oon T OT   Anastos Kathryn K   Rockstroh Jürgen J   Santos Ignacio I   Oka Shinichi S   Somi Geoffrey G   Stephan Christoph C   Teira Ramon R   Wabwire Deo D   Wandeler Gilles G   Boulle Andrew A   Reiss Peter P   Wood Robin R   Chi Benjamin H BH   Williams Carolyn C   Sterne Jonathan A JA   Egger Matthias M  

Journal of acquired immune deficiency syndromes (1999) 20140101 1


<h4>Objective</h4>To describe the CD4 cell count at the start of combination antiretroviral therapy (cART) in low-income (LIC), lower middle-income (LMIC), upper middle-income (UMIC), and high-income (HIC) countries.<h4>Methods</h4>Patients aged 16 years or older starting cART in a clinic participating in a multicohort collaboration spanning 6 continents (International epidemiological Databases to Evaluate AIDS and ART Cohort Collaboration) were eligible. Multilevel linear regression models were  ...[more]

Similar Datasets

| S-EPMC4351302 | biostudies-literature
| S-EPMC5061936 | biostudies-literature
| S-EPMC6857629 | biostudies-literature
| S-EPMC5654358 | biostudies-literature
| S-EPMC4383257 | biostudies-literature
| S-EPMC7453076 | biostudies-literature
| S-EPMC4809104 | biostudies-other
| S-EPMC6210857 | biostudies-other
| S-EPMC8478970 | biostudies-literature
| S-EPMC4422218 | biostudies-literature