Literature DB >> 11807691

A clinically prognostic scoring system for patients receiving highly active antiretroviral therapy: results from the EuroSIDA study.

Jens D Lundgren1, Amanda Mocroft, Jose M Gatell, Bruno Ledergerber, Antonella D'Arminio Monforte, Philippe Hermans, Frank-Detlef Goebel, Anders Blaxhult, Ole Kirk, Andrew N Phillips.   

Abstract

The risk of clinical progression for human immunodeficiency virus (HIV)-infected persons receiving treatment with highly active antiretroviral therapy (HAART) is poorly defined. From an inception cohort of 8457 HIV-infected persons, 2027 patients who started HAART during prospective follow-up were examined. Results were validated in another 2 groups of patients (n=1946 and n=1442). In total, 200 patients (9.9%) experienced clinical progression during 5177 person-years (incidence, 3.9/100 years). The most recently measured CD4 cell count, virus load, and hemoglobin level all were independently related to the risk of clinical progression, as was a diagnosis of severe AIDS before the start of HAART. On the basis of these findings, a scoring system was derived (range, 0-17). A single unit increase in the score was associated with a 38% increased risk of clinical progression (relative hazard, 1.38; 95% confidence interval, 1.33-1.43; P<.0001). The scoring system was validated with remarkably good agreement in the 2 other cohorts. This system can be used in patient and resource management.

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Year:  2002        PMID: 11807691     DOI: 10.1086/338267

Source DB:  PubMed          Journal:  J Infect Dis        ISSN: 0022-1899            Impact factor:   5.226


  29 in total

1.  Viral load predicts new world health organization stage 3 and 4 events in HIV-infected children receiving highly active antiretroviral therapy, independent of CD4 T lymphocyte value.

Authors:  Ricardo Oliveira; Margot Krauss; Suzanne Essama-Bibi; Cristina Hofer; D Robert Harris; Adriana Tiraboschi; Ricardo de Souza; Heloisa Marques; Regina Succi; Thalita Abreu; Marinella Della Negra; Rohan Hazra; Lynne M Mofenson; George K Siberry
Journal:  Clin Infect Dis       Date:  2010-11-01       Impact factor: 9.079

Review 2.  Economic models of antiretroviral therapy: searching for the optimal strategy.

Authors:  Fred J Hellinger
Journal:  Pharmacoeconomics       Date:  2006       Impact factor: 4.981

3.  Adherence and plasma HIV RNA responses to highly active antiretroviral therapy among HIV-1 infected injection drug users.

Authors:  Evan Wood; Julio S G Montaner; Benita Yip; Mark W Tyndall; Martin T Schechter; Michael V O'Shaughnessy; Robert S Hogg
Journal:  CMAJ       Date:  2003-09-30       Impact factor: 8.262

4.  A randomized controlled trial of palifermin (recombinant human keratinocyte growth factor) for the treatment of inadequate CD4+ T-lymphocyte recovery in patients with HIV-1 infection on antiretroviral therapy.

Authors:  Jeffrey M Jacobson; Hongying Wang; Rebeka Bordi; Lu Zheng; Barry H Gross; Alan L Landay; John Spritzler; Jean-Pierre Routy; Constance Benson; Judith Aberg; Pablo Tebas; David W Haas; Jennifer Tiu; Kristine Coughlin; Lynette Purdue; Rafick-Pierre Sekaly
Journal:  J Acquir Immune Defic Syndr       Date:  2014-08-01       Impact factor: 3.731

5.  Prognosis of patients treated with cART from 36 months after initiation, according to current and previous CD4 cell count and plasma HIV-1 RNA measurements.

Authors:  Emilie Lanoy; Margaret May; Amanda Mocroft; Andrew Phillip; Amy Justice; Geneviève Chêne; Hansjakob Furrer; Timothy Sterling; Antonella D'Arminio Monforte; Lluís Force; John Gill; Ross Harris; Robert S Hogg; Jürgen Rockstroh; Mike Saag; Pavel Khaykin; Frank de Wolf; Jonathan A C Sterne; Dominique Costagliola
Journal:  AIDS       Date:  2009-10-23       Impact factor: 4.177

6.  Predictors of clinical progression in HIV-1-infected adults initiating combination antiretroviral therapy with advanced disease in the Asia-Pacific region: results from the TREAT Asia HIV observational database.

Authors:  H Byakwaga; K Petoumenos; J Ananworanich; F Zhang; M A Boyd; T Sirisanthana; P C K Li; C Lee; C V Mean; V Saphonn; S F S Omar; S Pujari; P Phanuphak; P L Lim; N Kumarasamy; Y M A Chen; T P Merati; S Sungkanuparph; R Ditangco; S Oka; G Tau; J Zhou; M G Law; S Emery
Journal:  J Int Assoc Provid AIDS Care       Date:  2013-02-19

7.  Variable impact on mortality of AIDS-defining events diagnosed during combination antiretroviral therapy: not all AIDS-defining conditions are created equal.

Authors:  Amanda Mocroft; Jonathan A C Sterne; Matthias Egger; Margaret May; Sophie Grabar; Hansjakob Furrer; Caroline Sabin; Gerd Fatkenheuer; Amy Justice; Peter Reiss; Antonella d'Arminio Monforte; John Gill; Robert Hogg; Fabrice Bonnet; Mari Kitahata; Schlomo Staszewski; Jordi Casabona; Ross Harris; Michael Saag
Journal:  Clin Infect Dis       Date:  2009-04-15       Impact factor: 9.079

8.  CD4 count slope and mortality in HIV-infected patients on antiretroviral therapy: multicohort analysis from South Africa.

Authors:  Christopher J Hoffmann; Michael Schomaker; Matthew P Fox; Portia Mutevedzi; Janet Giddy; Hans Prozesky; Robin Wood; Daniela B Garone; Matthias Egger; Andrew Boulle
Journal:  J Acquir Immune Defic Syndr       Date:  2013-05-01       Impact factor: 3.731

9.  Short-term clinical disease progression in HIV-infected patients receiving combination antiretroviral therapy: results from the TREAT Asia HIV observational database.

Authors:  Preeyaporn Srasuebkul; Poh Lian Lim; Man Po Lee; Nagalingeswaran Kumarasamy; Jialun Zhou; Thira Sirisanthana; Patrick C K Li; Adeeba Kamarulzaman; Shinichi Oka; Praphan Phanuphak; Saphonn Vonthanak; Tuti P Merati; Yi-Ming A Chen; Somnuek Sungkanuparph; Goa Tau; Fujie Zhang; Christopher K C Lee; Rossana Ditangco; Sanjay Pujari; Jun Y Choi; Jeffery Smith; Matthew G Law
Journal:  Clin Infect Dis       Date:  2009-04-01       Impact factor: 9.079

10.  Evaluation of human immunodeficiency virus biomarkers: inferences from interval and clinical cohort studies.

Authors:  Bryan Lau; Stephen J Gange; Gregory D Kirk; Richard D Moore
Journal:  Epidemiology       Date:  2009-09       Impact factor: 4.822

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