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2008
DOI: 10.1097/qai.0b013e318183a92a
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Total Lymphocyte Count: Not a Surrogate Marker for Risk of Death in HIV-Infected Ugandan Children

Abstract: Objectives To determine the utility of Total Lymphocyte Count (TLC) in predicting the 12 month mortality in HIV infected Ugandan children; to correlate TLC and CD4 cell %. Design This is a retrospective data analysis of clinical and laboratory data collected prospectively on 128 HIV infected children in the HIVNET 012 trial. Methods TLC and CD4 cell % measurements were obtained at birth, 14 weeks and 12, 24, 36, 48, and 60 months of age and assessed with respect to risk of death within 12 months. Results… Show more

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Cited by 3 publications
(2 citation statements)
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“…We found the WHO 2006 TLC thresholds defining immuno-suppression to have low sensitivity but high specificity for detecting severely depressed CD4 count in these Kenyan children, and sensitivity was lowest among young children under 5 years (<34%). In contrast to the CD4 count, there was very poor correlation between TLC and CD4% (r = 0.06) similar to weak correlation (r = 0.01) reported by Musoke in Ugandan children [ 24 ].…”
Section: Discussionsupporting
confidence: 52%
“…We found the WHO 2006 TLC thresholds defining immuno-suppression to have low sensitivity but high specificity for detecting severely depressed CD4 count in these Kenyan children, and sensitivity was lowest among young children under 5 years (<34%). In contrast to the CD4 count, there was very poor correlation between TLC and CD4% (r = 0.06) similar to weak correlation (r = 0.01) reported by Musoke in Ugandan children [ 24 ].…”
Section: Discussionsupporting
confidence: 52%
“…13,15,21 However, in low income settings, measurement of many of these prognostic factors, including CD4, is often unavailable. 22 The International epidemiologic Databases to Evaluate AIDS Southern Africa (IeDEA-SA) Collaboration includes data from children starting ART at 11 treatment programs in a range of settings in four countries. 3,20 We aimed to use these data to develop a prognostic model that estimates the cumulative probability of death at 3, 6 and 12 months after starting ART according to age, and prognostic factors commonly measured in resource-limited settings.…”
mentioning
confidence: 99%