2020
DOI: 10.1097/qad.0000000000002802
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Progressive phasing out of baseline CD4+ cell count testing for people living with HIV in Kinshasa, Democratic Republic of the Congo

Abstract: Fig. 1. (a) Trends in baseline CD4 R cell count assessment in people living with HIV during 2006-2020. (b) Percentage of people living with HIV (WHO stage 1 or 2) with CD4 R count above or below 200 cells/ml.

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Cited by 5 publications
(9 citation statements)
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“…The difference between definitions is slight because the numbers were mainly influenced by WHO stages. Indeed, CD4 cell counts at baseline were rarely performed in the DRC and have been totally abandoned in recent years [ 21 ].…”
Section: Resultsmentioning
confidence: 99%
See 2 more Smart Citations
“…The difference between definitions is slight because the numbers were mainly influenced by WHO stages. Indeed, CD4 cell counts at baseline were rarely performed in the DRC and have been totally abandoned in recent years [ 21 ].…”
Section: Resultsmentioning
confidence: 99%
“…It should be noted that the probability of being a late presenter increased when a CD4 cell count at baseline was performed. This could be an important confounding factor in our analysis, as CD4 cell count measurement at baseline has been abandoned in recent years [ 21 ]. However, the percentage of LP based on a pure clinical definition also significantly decreased over time (Fig.…”
Section: Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…Additionally, due to the retrospective nature of the study and routine data collection, some variables were missing. In particular, the initial CD4 cell count may have underestimated the proportion of individuals with advanced-stage HIV infection [54]. Finally, our study was performed in the city of Kinshasa.…”
Section: Plos Global Public Healthmentioning
confidence: 95%
“…Our results must be interpreted with the integration of certain limits. First, several data were missing in the analyses, in particular, to some extent, the CD4 count both at diagnosis and at the initiation of treatment [67]. Missing data on several variables studied among the determinants significantly reduced the sample size in logistic regression.…”
Section: Plos Onementioning
confidence: 99%