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Predicting CD4 lymphocyte count <200 cells/mm(3) in an HIV type 1-infected African population.

Publication ,  Journal Article
Morpeth, SC; Crump, JA; Shao, HJ; Ramadhani, HO; Kisenge, PR; Moylan, CA; Naggie, S; Caram, LB; Landman, KZ; Sam, NE; Itemba, DK; Shao, JF ...
Published in: AIDS Res Hum Retroviruses
October 2007

Clinical criteria are recommended to select HIV-infected patients for initiation of antiretroviral therapy when CD4 lymphocyte testing is unavailable. We evaluated the performance characteristics of WHO staging criteria, anthropometrics, and simple laboratory measurements for predicting CD4 lymphocyte count (CD4 count) <200 cells/mm(3) among HIV-infected patients in Tanzania. A total of 202 adults, diagnosed with HIV infection through community-based testing, underwent a detailed evaluation including staging history and examination, anthropometry, complete blood count, erythrocyte sedimentation rate (ESR), and CD4 count. Univariable analysis and recursive partitioning were used to identify characteristics associated with CD4 count 200 cells/mm(3). Of 202 participants 109 (54%) had a CD4 count <200 cells/mm(3). Characteristics most strongly associated with CD4 count <200 cells/mm(3) (p-value <0.0001) were the presence of mucocutaneous manifestations (72% vs. 28%), lower total lymphocyte count (TLC) (median 1,450 vs. 2,200 cells/mm(3)), lower total white blood cell count (median 4,200 vs. 5,500 cells/mm(3)), and higher ESR (median 95 vs. 53 mm/h). In a partition tree model, TLC <1,200 cells/mm(3), ESR >or=120 mm/h, or the presence of mucocutaneous manifestations yielded a sensitivity of 0.85 and specificity of 0.63 for predicting CD4 count <200 cells/mm(3). The sensitivity of the 2006 WHO Staging system improved from 0.75 to 0.93 with inclusion of these parameters, at the expense of specificity (0.36 to 0.26). The presence of mucocutaneous manifestations, TLC <1,200 cells/mm(3), or ESR >or=120 mm/h was a strong predictor of CD4 count <200 cells/mm(3) and enhanced the sensitivity of the 2006 WHO staging criteria for identifying patients likely to benefit from antiretrovirals.

Duke Scholars

Published In

AIDS Res Hum Retroviruses

DOI

ISSN

0889-2229

Publication Date

October 2007

Volume

23

Issue

10

Start / End Page

1230 / 1236

Location

United States

Related Subject Headings

  • World Health Organization
  • Virology
  • Skin Diseases
  • Sensitivity and Specificity
  • ROC Curve
  • Predictive Value of Tests
  • Male
  • Lymphocyte Count
  • Humans
  • HIV-1
 

Citation

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Morpeth, S. C., Crump, J. A., Shao, H. J., Ramadhani, H. O., Kisenge, P. R., Moylan, C. A., … Thielman, N. M. (2007). Predicting CD4 lymphocyte count <200 cells/mm(3) in an HIV type 1-infected African population. AIDS Res Hum Retroviruses, 23(10), 1230–1236. https://doi.org/10.1089/aid.2007.0053
Morpeth, Susan C., John A. Crump, Humphrey J. Shao, Habib O. Ramadhani, Peter R. Kisenge, Cindy A. Moylan, Susanna Naggie, et al. “Predicting CD4 lymphocyte count <200 cells/mm(3) in an HIV type 1-infected African population.AIDS Res Hum Retroviruses 23, no. 10 (October 2007): 1230–36. https://doi.org/10.1089/aid.2007.0053.
Morpeth SC, Crump JA, Shao HJ, Ramadhani HO, Kisenge PR, Moylan CA, et al. Predicting CD4 lymphocyte count <200 cells/mm(3) in an HIV type 1-infected African population. AIDS Res Hum Retroviruses. 2007 Oct;23(10):1230–6.
Morpeth, Susan C., et al. “Predicting CD4 lymphocyte count <200 cells/mm(3) in an HIV type 1-infected African population.AIDS Res Hum Retroviruses, vol. 23, no. 10, Oct. 2007, pp. 1230–36. Pubmed, doi:10.1089/aid.2007.0053.
Morpeth SC, Crump JA, Shao HJ, Ramadhani HO, Kisenge PR, Moylan CA, Naggie S, Caram LB, Landman KZ, Sam NE, Itemba DK, Shao JF, Bartlett JA, Thielman NM. Predicting CD4 lymphocyte count <200 cells/mm(3) in an HIV type 1-infected African population. AIDS Res Hum Retroviruses. 2007 Oct;23(10):1230–1236.
Journal cover image

Published In

AIDS Res Hum Retroviruses

DOI

ISSN

0889-2229

Publication Date

October 2007

Volume

23

Issue

10

Start / End Page

1230 / 1236

Location

United States

Related Subject Headings

  • World Health Organization
  • Virology
  • Skin Diseases
  • Sensitivity and Specificity
  • ROC Curve
  • Predictive Value of Tests
  • Male
  • Lymphocyte Count
  • Humans
  • HIV-1