| Literature DB >> 28879123 |
Adrienne F A Meyers1,2,3, Michèle Bergeron1, Madhuri Thakar4, Tao Ding1, Alexandre Martel1, Paul Sandstrom1,3, Bharati Mahajan4, Philip Abraham4, Sandhya Kabra5, Namita Singh6, Trevor Peter6, Terry B Ball1,2,3,7.
Abstract
OBJECTIVE: The HIV pandemic remains a significant global health concern. Accurate determination of CD4+ T-cells in patient samples relies on reliable CD4 enumeration. The Quality Assessment and Standardization programme for Immunological measures relevant to HIV/AIDS (QASI) programme of the Public Health Agency of Canada provides clinical laboratories from resource-limited countries with a mechanism to evaluate the quality of CD4 testing and develop the implementation of an independent national External Quality Assessment (EQA) programme. This study describes how QASI helped develop the capacity for managing a sustainable national CD4 EQA programme in India.Entities:
Year: 2016 PMID: 28879123 PMCID: PMC5433822 DOI: 10.4102/ajlm.v5i2.442
Source DB: PubMed Journal: Afr J Lab Med ISSN: 2225-2002
Performance of specific CD4 technologies in India for low- and mid-level CD4 count controls at pre- and post-technology transfer.
| Parameters | Global [ | India | ||||
|---|---|---|---|---|---|---|
| Mean ± SD cells/µL | CD4 technology | Mean cells/µL | s.d. | %CV | ||
| Low CD4 count | 103 ± 22.0 [463] | FACSCalibur | 148.9 | 82.5 | 55.4 | 25 |
| Cyflow Counter | 117.9 | 31.0 | 26.3 | 22 | ||
| FACSCount | 96.9 | 7.9 | 8.2 | 24 | ||
| Low CD4 count | 125 ± 19.0 [537] | FACSCalibur | 121.4 | 27.1 | 22.4 | 25 |
| Cyflow Counter | 141.6 | 17.6 | 12.4 | 39 | ||
| FACSCount | 127.4 | 15.0 | 11.8 | 47 | ||
| Mid CD4 count | 546 ± 62.9 [461] | FACSCalibur | 648.6 | 166.2 | 25.6 | 25 |
| Cyflow Counter | 573.8 | 82.6 | 14.4 | 22 | ||
| FACSCount | 537.3 | 44.5 | 8.3 | 23 | ||
| Mid CD4 count | 669 ± 68.6 [539] | FACSCalibur | 660.0 | 88.1 | 13.4 | 25 |
| Cyflow Counter | 671.3 | 56.0 | 8.4 | 39 | ||
| FACSCount | 695.8 | 55.0 | 7.9 | 48 | ||
Source: QASI Workshop in September 2009 at NARI in Pune, India
s.d., Standard Deviation; n, number of participants.
FIGURE 1Pre- vs post-training national and global CD4 absolute count performance. Comparison of national and global performance across six consecutive surveys, reflecting the impact of technology transfer provided by both QASI and NARI between surveys 21 and 22. Pre-technology transfer reflects QASI sessions 19 through 21 (October 2008, February 2009, June 2009). QASI advanced workshop training was held in September 2009 at NARI in Pune, India. Post-technology transfer reflects QASI sessions 22 through 24 (October 2009, February 2010, June 2010). Group mean CD4 count, standard deviation (error bars) and %CV are illustrated for mid-level (a) and low-level (b) CD4 count controls. Note the drop in %CV for India from 14.7% to 10.3% (a) and from 39.0% to 20.0% (b).
FIGURE 2Pre- vs post-transfer national and global CD4 percentage performance. Comparison of national and global performance across six consecutive surveys reflecting the impact of technology transfer provided by both QASI and NARI between surveys 21 and 22. Pre-technology transfer reflects QASI sessions 19 through 21 (October 2008, February 2009, June 2009). QASI advanced workshop training was held in September 2009 at NARI in Pune, India. Post-technology transfer reflects QASI sessions 22 through 24 (October 2009, February 2010, June 2010). Group mean CD4 lymphocyte percentages, standard deviation (error bars) and %CV are illustrated for mid-level (a) and low-level (b) CD4 count controls. Note the drop in %CV for India from 16.4% to 8.3% (a) and from 38.6% to 20.4% (b).