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Original Research

Clinical predictor score to identify patients at risk of poor viral load suppression at six months on antiretroviral therapy: results from a prospective cohort study in Johannesburg, South Africa

, , , , &
Pages 359-373 | Published online: 07 May 2019

Figures & data

Table 1 Summary of data sources and study variables

Figure 1 Flowchart of the study participant in the LCM cohort study.

Abbreviations: LCM, low cost monitoring; ART antiretroviral therapy.
Figure 1 Flowchart of the study participant in the LCM cohort study.

Table 2 Baseline demographic and clinical characteristics of 296 ART-naive patients, stratified by a viral load at 6 months on ART

Table 3 Sensitivity and specificity of self-reported adherence at 6 months on ART compared to viral load as “gold standard”

Table 4 Crude and adjusted predictors of poor virologic suppression at 6 months after ART initiation, using Modified Poisson regression (n=163)

Table 5 Diagnostic accuracy of the clinical prediction pcore (CPS) at different cutoff points at 6 months after ART initiation

Figure 2 Diagnostic accuracy of the algorithm compared to viral load as “the gold standard”.

Abbreviations: ART, antiretroviral therapy; ARV, antiretroviral; MCV, mean cell volume; VAS, visual analog scale; WHO, World Health Organization.
Figure 2 Diagnostic accuracy of the algorithm compared to viral load as “the gold standard”.