Literature DB >> 7905525

Predicting CD4 counts in HIV-infected Brazilian individuals: a model based on the World Health Organization staging system.

M Schechter1, R Zajdenverg, L L Machado, M E Pinto, L A Lima, M A Perez.   

Abstract

CD4 cell counts are one of the best available surrogate markers for disease progression; they are widely used laboratory parameters in clinical trials and commonly used indicators for the introduction of primary prophylaxis and antiretroviral therapy. However, measurement is too expensive to be done in most developing countries. The objective of this study was to derive a model for prediction of CD4 counts < 200 cells/mm3 based on the proposed World Health Organization (WHO) staging system for HIV infection and widely available laboratory parameters. One hundred and six consecutive patients enrolled in a prospective cohort study who were not taking anti-HIV drugs or prophylaxis for opportunistic infections were included. Blood tests were performed within 72 h of the outpatient visit. Lymphocyte phenotyping was done by flow cytometry. Two models based on the WHO staging system, hematocrit and total lymphocyte counts, were developed. The two models had sensitivity > 90% and specificity > 83%. These results indicate that the combined use of simple clinical and laboratory parameters can predict CD4 counts < 200 cells/mm3 with high sensitivity and specificity. Similar studies should be conducted in other countries. Should our findings be confirmed, intervention strategies based on this model of potential universal applicability should be devised and validated.

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Year:  1994        PMID: 7905525

Source DB:  PubMed          Journal:  J Acquir Immune Defic Syndr (1988)        ISSN: 0894-9255


  8 in total

1.  Estimating the extent of underreporting of mortality among HIV-infected individuals in Rio de Janeiro, Brazil.

Authors:  Antonio G Pacheco; Valeria Saraceni; Suely H Tuboi; Lilian M Lauria; Lawrence H Moulton; José Cláudio Faulhaber; Bonnie King; Jonathan E Golub; Betina Durovni; Solange Cavalcante; Lee H Harrison; Richard E Chaisson; Mauro Schechter
Journal:  AIDS Res Hum Retroviruses       Date:  2010-10-07       Impact factor: 2.205

2.  Identification of single and dual infections with distinct subtypes of human immunodeficiency virus type 1 by using restriction fragment length polymorphism analysis.

Authors:  L M Janini; D Pieniazek; J M Peralta; M Schechter; A Tanuri; A C Vicente; N dela Torre; N J Pieniazek; C C Luo; M L Kalish; G Schochetman; M A Rayfield
Journal:  Virus Genes       Date:  1996       Impact factor: 2.332

3.  Temporal changes in causes of death among HIV-infected patients in the HAART era in Rio de Janeiro, Brazil.

Authors:  Antonio G Pacheco; Suely H Tuboi; Silvia B May; Luiz F S Moreira; Luciana Ramadas; Estevão P Nunes; Mônica Merçon; José C Faulhaber; Lee H Harrison; Mauro Schechter
Journal:  J Acquir Immune Defic Syndr       Date:  2009-08-15       Impact factor: 3.731

4.  Dual and recombinant infections: an integral part of the HIV-1 epidemic in Brazil.

Authors:  A Ramos; A Tanuri; M Schechter; M A Rayfield; D J Hu; M C Cabral; C I Bandea; J Baggs; D Pieniazek
Journal:  Emerg Infect Dis       Date:  1999 Jan-Feb       Impact factor: 6.883

5.  Determining eligibility for antiretroviral therapy in resource-limited settings using total lymphocyte counts, hemoglobin and body mass index.

Authors:  David M Moore; Anna Awor; Robert S Downing; Willy Were; Peter Solberg; David Tu; Keith Chan; Robert S Hogg; Jonathan Mermin
Journal:  AIDS Res Ther       Date:  2007-01-18       Impact factor: 2.250

Review 6.  Administrative Data Linkage in Brazil: Potentials for Health Technology Assessment.

Authors:  M Sanni Ali; Maria Yury Ichihara; Luciane Cruz Lopes; George C G Barbosa; Robespierre Pita; Roberto Perez Carreiro; Djanilson Barbosa Dos Santos; Dandara Ramos; Nivea Bispo; Fabiana Raynal; Vania Canuto; Bethania de Araujo Almeida; Rosemeire L Fiaccone; Marcos E Barreto; Liam Smeeth; Mauricio L Barreto
Journal:  Front Pharmacol       Date:  2019-09-23       Impact factor: 5.810

7.  HIV Drug-Resistant Patient Information Management, Analysis, and Interpretation.

Authors:  Yashik Singh; Maurice Mars
Journal:  JMIR Res Protoc       Date:  2012-06-07

8.  Validation of a hierarchical deterministic record-linkage algorithm using data from 2 different cohorts of human immunodeficiency virus-infected persons and mortality databases in Brazil.

Authors:  Antonio G Pacheco; Valeria Saraceni; Suely H Tuboi; Lawrence H Moulton; Richard E Chaisson; Solange C Cavalcante; Betina Durovni; José C Faulhaber; Jonathan E Golub; Bonnie King; Mauro Schechter; Lee H Harrison
Journal:  Am J Epidemiol       Date:  2008-10-09       Impact factor: 4.897

  8 in total

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