Literature DB >> 12799552

Total lymphocyte count and hemoglobin combined in an algorithm to initiate the use of highly active antiretroviral therapy in resource-limited settings.

Lisa A Spacek1, Michael Griswold, Thomas C Quinn, Richard D Moore.   

Abstract

OBJECTIVE: To develop clinical algorithms that improve the sensitivity of surrogate markers to initiate the use of highly active antiretroviral therapy (HAART) in resource-limited settings.
DESIGN: A retrospective evaluation of total lymphocyte counts (TLC) and hemoglobin to predict the CD4 lymphocyte count.
METHODS: A total of 3269 members of the Johns Hopkins HIV observational cohort contributed 22 690 paired observations of CD4 lymphocyte counts and TLC. Two methods were used to evaluate the effect of combining TLC and hemoglobin to predict CD4 cell counts below 200 cells/mm3 before the initiation of HAART in 1451 participants; 55.3% of participants had CD4 cell counts below 200 cells/mm3.
RESULTS: TLC below 1200 cells/mm3 and hemoglobin below 12 g/dl significantly predicted CD4 cell counts below 200 cells/mm3. For TLC alone sensitivity was 70.7% and specificity was 81.7%. For both men and women, we chose a TLC lower cutoff point of 1200 cells/mm3, an upper cutoff point of 2000 cells/mm3, and hemoglobin of 12 g/dl. For men, method I generated sensitivity of 78.0% and specificity of 77.5%. Method II improved specificity to 81.8%. For women, method I increased sensitivity to 85.6% and decreased specificity to 64.1%. Method II improved specificity to 81.4%.
CONCLUSION: TLC below 1200 cells/mm3 were associated with CD4 cell counts below 200 cells/mm3 as in the WHO guidelines, but sensitivity was low. Adding hemoglobin to TLC increased sensitivity, thereby reducing the risk of false-negative results. Our model may serve as a template for the development of algorithms to initiate the use of HAART in resource-limited settings.

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Year:  2003        PMID: 12799552     DOI: 10.1097/00002030-200306130-00005

Source DB:  PubMed          Journal:  AIDS        ISSN: 0269-9370            Impact factor:   4.177


  19 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.  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

3.  Utility of absolute lymphocyte count as a surrogate marker of CD4 cell counts: Is it useful?

Authors:  Amitabh Sagar; Abhishek Pathak; Vikas Ambiya; Nardeep Naithani; Biju Vasudevan; Sunil Agrawal
Journal:  Med J Armed Forces India       Date:  2013-08-06

4.  Total lymphocyte count: not a surrogate marker for risk of death in HIV-infected Ugandan children.

Authors:  Philippa M Musoke; Alicia M Young; Maxensia A Owor; Irene R Lubega; Elizabeth R Brown; Francis A Mmiro; Lynne M Mofenson; J Brooks Jackson; Mary Glenn Fowler; Laura A Guay
Journal:  J Acquir Immune Defic Syndr       Date:  2008-10-01       Impact factor: 3.731

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

Authors:  Moses R Kamya; Fred C Semitala; Thomas C Quinn; Allan Ronald; Denise Njama-Meya; Harriet Mayanja-Kizza; Elly T Katabira; Lisa A Spacek
Journal:  Afr Health Sci       Date:  2004-08       Impact factor: 0.927

6.  Correlation of CD4+ T cell Count with Total Lymphocyte Count, Haemoglobin and Erythrocyte Sedimentation Rate Levels in Human Immunodeficiency Virus Type-1 Disease.

Authors:  Sourav Sen; Akshat Vyas; Sunil Sanghi; K Shanmuganandan; R M Gupta; Brig Ketoki Kapila; A K Praharaj; Satish Kumar; R B Batra
Journal:  Med J Armed Forces India       Date:  2011-07-21

7.  Comparison of CD4 cell count, viral load, and other markers for the prediction of mortality among HIV-1-infected Kenyan pregnant women.

Authors:  Elizabeth R Brown; Phelgona Otieno; Dorothy A Mbori-Ngacha; Carey Farquhar; Elizabeth M Obimbo; Ruth Nduati; Julie Overbaugh; Grace C John-Stewart
Journal:  J Infect Dis       Date:  2009-05-01       Impact factor: 5.226

8.  An Evaluation of Alternative Markers to Guide Initiation of Anti-retroviral Therapy in HIV-Infected Children in Settings where CD4 Assays are not Available.

Authors:  Minke H W Huibers; Peter Moons; Nelson Maseko; Montfort B Gushu; Ferdinand W Wit; Steve M Graham; Michael Boele van Hensbroek; Job C Calis
Journal:  J Trop Pediatr       Date:  2015-10-21       Impact factor: 1.165

9.  Relationship between total lymphocyte count (TLC) and CD4 count among peoples living with HIV, Southern Ethiopia: a retrospective evaluation.

Authors:  Deresse Daka; Eskindir Loha
Journal:  AIDS Res Ther       Date:  2008-12-22       Impact factor: 2.250

10.  Total Lymphocyte Count as surrogate marker for CD4 Cell Count in HIV-Infected Individuals in Gondar University Hospital, Northwest Ethiopia.

Authors:  Yitayih Wondimeneh; Getachew Ferede; Gizachew Yismaw; Dagnachew Muluye
Journal:  AIDS Res Ther       Date:  2012-07-15       Impact factor: 2.250

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