Literature DB >> 15477187

Total lymphocyte count of 1200 is not a sensitive predictor of CD4 lymphocyte count among patients with HIV disease in Kampala, Uganda.

Moses R Kamya1, Fred C Semitala, Thomas C Quinn, Allan Ronald, Denise Njama-Meya, Harriet Mayanja-Kizza, Elly T Katabira, Lisa A Spacek.   

Abstract

INTRODUCTION: Total Lymphocyte Count (TLC) has been found to be an inexpensive and useful marker for staging disease, predicting progression to AIDS and death and monitoring response to ART. However, the correlation between TLC and CD4 has not been consistent. Access to HAART is expanding in Kampala, Uganda, yet there are no published data evaluating the utility of TLC as inexpensive surrogate marker of CD4 cell count to help guide therapeutic decisions.
OBJECTIVE: To evaluate clinical illnesses and total lymphocyte count (TLC) as surrogate markers of the CD4 cell count in HIV infected persons being considered for ART.
METHODS: A total of 131 patients were enrolled and evaluated by clinical assessment, TLC and CD4 count. Clinical illnesses and TLC dichotomized at various cut-point values were used to determine the sensitivity, specificity, and positive and negative predictive values (PPV and NPV) for the diagnosis of CD4 count <200 cells/mm 3 among 100 participants fulfilling criteria for WHO clinical stage 2 and 3.
RESULTS: A strong correlation was observed between TLC and CD4 (r = 0.73, p<0.0001). For all clinical syndromes, except pulmonary tuberculosis, the positive predictive values (PPV) for a CD4 count <200 cells/mm 3 were high (>80%) but the negative predictive values (NPV) were low. Using the WHO recommended TLC cut-off of 1200 cells/mm 3 to diagnose a CD4 less than 200 cells/mm 3 , the PPV was 100%, and the NPV was 32%.
CONCLUSION: Our data showed a good correlation between TLC and CD4 cell count. However, the WHO recommended TLC cut-off of 1200 did not identify the majority of WHO stage 2 and 3 patients with CD4 counts less than 200 cells/mm 3 . A more rational use of TLC counts is to treat all patients with WHO stage 2 and 3 who have a TLC <1200 and to limit CD4 counts to patients who are symptomatic but have TLC of >1200.

Entities:  

Mesh:

Substances:

Year:  2004        PMID: 15477187      PMCID: PMC2141617     

Source DB:  PubMed          Journal:  Afr Health Sci        ISSN: 1680-6905            Impact factor:   0.927


  18 in total

Review 1.  CD4 cell monitoring for HIV/AIDS: old options; new insights.

Authors:  D K Glencross; L E Scott
Journal:  SADJ       Date:  2001-12

2.  HIV-1 infection in rural Africa: is there a difference in median time to AIDS and survival compared with that in industrialized countries?

Authors:  Dilys Morgan; Cedric Mahe; Billy Mayanja; J Martin Okongo; Rosemary Lubega; James A G Whitworth
Journal:  AIDS       Date:  2002-03-08       Impact factor: 4.177

Review 3.  T-cell subset counting and the fight against AIDS: reflections over a 20-year struggle.

Authors:  Francis Mandy; Jan Nicholson; Brigitte Autran; George Janossy
Journal:  Cytometry       Date:  2002-04-15

4.  Scaling up antiretroviral therapy in resource-limited settings: guidelines for a public health approach. Executive summary. April 2002.

Authors: 
Journal:  IAPAC Mon       Date:  2002-06

5.  CD4 and total lymphocyte counts as predictors of HIV disease progression.

Authors:  F A Post; R Wood; G Maartens
Journal:  QJM       Date:  1996-07

6.  Human immunodeficiency virus type-1 infection of homosexual men is accompanied by a decrease in circulating B cells.

Authors:  M M Reddy; R R Goetz; J M Gorman; M H Grieco; L Chess; S Lederman
Journal:  J Acquir Immune Defic Syndr (1988)       Date:  1991

7.  Correlation between total and CD4 lymphocyte counts in HIV infection: not making the good an enemy of the not so perfect.

Authors:  E J Beck; E J Kupek; M M Gompels; A J Pinching
Journal:  Int J STD AIDS       Date:  1996-10       Impact factor: 1.359

8.  Proposed 'World Health Organization staging system for HIV infection and disease': preliminary testing by an international collaborative cross-sectional study. The WHO International Collaborating Group for the Study of the WHO Staging System.

Authors: 
Journal:  AIDS       Date:  1993-05       Impact factor: 4.177

9.  Total lymphocyte count as a predictor of absolute CD4+ count and CD4+ percentage in HIV-infected persons.

Authors:  S P Blatt; C R Lucey; C A Butzin; C W Hendrix; D R Lucey
Journal:  JAMA       Date:  1993-02-03       Impact factor: 56.272

10.  The relationship of total lymphocyte count to CD4 lymphocyte counts in patients infected with human immunodeficiency virus.

Authors:  A M Fournier; J M Sosenko
Journal:  Am J Med Sci       Date:  1992-08       Impact factor: 2.378

View more
  8 in total

1.  Prediction based classification for longitudinal biomarkers.

Authors:  A S Foulkes; L Azzoni; X Li; M A Johnson; C Smith; K Mounzer; L J Montaner
Journal:  Ann Appl Stat       Date:  2010-09       Impact factor: 2.083

2.  Post traumatic stress, HIV and malaria: contemporary issues explored in depth.

Authors:  James K Tumwine
Journal:  Afr Health Sci       Date:  2004-08       Impact factor: 0.927

3.  Total Lymphocyte Count and Haemoglobin Concentration Combined as a Surrogate Marker for Initiating Highly Active Antiretroviral Therapy in a Resource-limited Setting as against CD4 Cell Count.

Authors:  A C Dhamangaonkar; A Mathew; A R Pazare
Journal:  West Indian Med J       Date:  2014-05-08       Impact factor: 0.171

4.  Sulphadiazine-induced renal stones in a 63-year-old HIV-infected man treated for toxoplasmosis.

Authors:  Benjamin David McGettigan; Meilyn Hew; Elizabeth Phillips; Andrew McLean-Tooke
Journal:  BMJ Case Rep       Date:  2012-09-21

5.  Validation of World Health Organisation HIV/AIDS clinical staging in predicting initiation of antiretroviral therapy and clinical predictors of low CD4 cell count in Uganda.

Authors:  Steven Baveewo; Francis Ssali; Charles Karamagi; Joan N Kalyango; Judith A Hahn; Kenneth Ekoru; Peter Mugyenyi; Elly Katabira
Journal:  PLoS One       Date:  2011-05-12       Impact factor: 3.240

6.  Utility of total lymphocyte count as a surrogate marker for CD4 counts in HIV-1 infected children in Kenya.

Authors:  Nyawira Githinji; Elizabeth Maleche-Obimbo; Moses Nderitu; Dalton C Wamalwa; Dorothy Mbori-Ngacha
Journal:  BMC Infect Dis       Date:  2011-09-30       Impact factor: 3.090

7.  Multicenter Study of Controlling Nutritional Status (CONUT) Score as a Prognostic Factor in Patients With HIV-Related Renal Cell Carcinoma.

Authors:  Wenrui Xue; Yu Zhang; Hua Wang; Yu Zhang; Xiaopeng Hu
Journal:  Front Immunol       Date:  2021-11-30       Impact factor: 7.561

8.  Evaluation of Individual and Combined Markers of Urine Dipstick Parameters and Total Lymphocyte Count as a Substitute for CD4 Count in Low-Resource Communities in Ghana.

Authors:  Enoch Odame Anto; Christian Obirikorang; Emmanuel Acheampong; Bright Amankwaa; Bright Oppong Afranie; Sampson Donkor; Isaac Hope; Juliana Jommo; Esther Osaah
Journal:  Dis Markers       Date:  2018-02-11       Impact factor: 3.434

  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.