Utility of total lymphocyte count as a surrogate for absolute CD4 count in the adult Indian HIV population: A prospective study
Background: Standard methods of CD4 counts and plasma viral load estimation require specialized equipment, highly trained personnel and are extremely expensive. This remains a major challenge for the initiation of anti-retroviral therapy for patients in resource-limited settings. Objective: To asses...
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Autores principales: | , , , , , |
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Formato: | article |
Lenguaje: | EN |
Publicado: |
Thieme Medical and Scientific Publishers Pvt. Ltd.
2014
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Materias: | |
Acceso en línea: | https://doaj.org/article/123e3486905348aebf804126052349ea |
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Sumario: | Background: Standard methods of CD4 counts and plasma viral load estimation require specialized equipment, highly trained personnel and are extremely expensive. This remains a major challenge for the initiation of anti-retroviral therapy for patients in resource-limited settings. Objective: To assess the clinical utility of the total lymphocyte count (TLC) to serve as a surrogate marker for predicting a CD4 counts <350 cell/mm 3 in patients with HIV. Materials and Methods: A prospective study of 200 consecutive newly detected highly active anti-retroviral therapy (HAART) naïve HIV patients admitted over a one year period was conducted. Linear regression, Pearson correlation and receiver operating characteristic (ROC) curves were used to calculate the relationship between TLC and CD4 counts. Results: A significant correlation between TLC and CD4 count was observed (r = 0.682, P < 0.001). TLC cut off of 1200 cell/mm 3 as a predictor of CD4 count <350 cell/mm 3 had 73.1% sensitivity, 100% specificity, 100% positive predictive value (PPV) and 51.4% negative predictive value (NPV). Raising the cutoff to 1500 cells/mm 3 improved the sensitivity to 82.1% with 88.2% specificity, 96.5% PPV, 44.4% NPV. The ROC curve demonstrated highest area under curve (AUC = 0.8) for TLC of 1500 cell/mm 3 . Conclusion: The study showed that TLC cutoff value of 1500 cells/mm 3 was a cost effective surrogate marker for CD4 counts <350 cells/mm 3 in resource-limited settings. |
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