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Assessment of POC CD4 Detecting Mode in District or County Labs — Jiangsu Province, China, 2021

OBJECTIVE: This study seeks to explore efficient and multiple-item detection modes in new-style HIV labs, as well as access the accuracy and reliability of CD4 cell count detected by point of care (POC) to analyze POC work feasibility in district or county labs. METHODS: POC devices adopted in grass...

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Autores principales: Zhang, Zhi, Xu, Xiaoqin, Sun, Chengqing, Lu, Jing, Hu, Haiyang, Zhou, Ying, Fu, Gengfeng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Editorial Office of CCDCW, Chinese Center for Disease Control and Prevention 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9889221/
https://www.ncbi.nlm.nih.gov/pubmed/36751439
http://dx.doi.org/10.46234/ccdcw2022.213
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author Zhang, Zhi
Xu, Xiaoqin
Sun, Chengqing
Lu, Jing
Hu, Haiyang
Zhou, Ying
Fu, Gengfeng
author_facet Zhang, Zhi
Xu, Xiaoqin
Sun, Chengqing
Lu, Jing
Hu, Haiyang
Zhou, Ying
Fu, Gengfeng
author_sort Zhang, Zhi
collection PubMed
description OBJECTIVE: This study seeks to explore efficient and multiple-item detection modes in new-style HIV labs, as well as access the accuracy and reliability of CD4 cell count detected by point of care (POC) to analyze POC work feasibility in district or county labs. METHODS: POC devices adopted in grassroots-level labs and flow cytometers adopted in prefecture-level labs were used to analyze the same group of blood samples. The individual results were collected and compared for parametric tests in correlation and consistency. RESULTS: The Pearson correlation coefficients (r) between results detected by FACSPresto and those by FACSCalibur, FACSVia, FACSCantoII, and EPICSXL were 0.922, 0.938, 0.914, and 0.823, respectively; the average deviations were −25.64, 24.68, 3.05, and 70.97 cells/μL, respectively; the Pearson correlation coefficient (r) between results by Pima and FACSCalibur, FACSVia, FACSCantoII, and EPICSXL were 0.900, 0.950, 0.954, and 0.876, respectively; and the average deviations were −73.99, −40.78, −29.32, and −22.75 cells/μL, respectively. DISCUSSION: Strong positive correlations and good consistency were observed between the CD4 count tested by POC and flow cytometers. These findings provide theoretical support for new-style HIV labs and one-stop services, which can provide shorter testing duration and simpler testing processes, so that the most comprehensive testing results can be obtained in the shortest amount of time.
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spelling pubmed-98892212023-02-06 Assessment of POC CD4 Detecting Mode in District or County Labs — Jiangsu Province, China, 2021 Zhang, Zhi Xu, Xiaoqin Sun, Chengqing Lu, Jing Hu, Haiyang Zhou, Ying Fu, Gengfeng China CDC Wkly Methods and Applications OBJECTIVE: This study seeks to explore efficient and multiple-item detection modes in new-style HIV labs, as well as access the accuracy and reliability of CD4 cell count detected by point of care (POC) to analyze POC work feasibility in district or county labs. METHODS: POC devices adopted in grassroots-level labs and flow cytometers adopted in prefecture-level labs were used to analyze the same group of blood samples. The individual results were collected and compared for parametric tests in correlation and consistency. RESULTS: The Pearson correlation coefficients (r) between results detected by FACSPresto and those by FACSCalibur, FACSVia, FACSCantoII, and EPICSXL were 0.922, 0.938, 0.914, and 0.823, respectively; the average deviations were −25.64, 24.68, 3.05, and 70.97 cells/μL, respectively; the Pearson correlation coefficient (r) between results by Pima and FACSCalibur, FACSVia, FACSCantoII, and EPICSXL were 0.900, 0.950, 0.954, and 0.876, respectively; and the average deviations were −73.99, −40.78, −29.32, and −22.75 cells/μL, respectively. DISCUSSION: Strong positive correlations and good consistency were observed between the CD4 count tested by POC and flow cytometers. These findings provide theoretical support for new-style HIV labs and one-stop services, which can provide shorter testing duration and simpler testing processes, so that the most comprehensive testing results can be obtained in the shortest amount of time. Editorial Office of CCDCW, Chinese Center for Disease Control and Prevention 2022-11-25 /pmc/articles/PMC9889221/ /pubmed/36751439 http://dx.doi.org/10.46234/ccdcw2022.213 Text en Copyright and License information: Editorial Office of CCDCW, Chinese Center for Disease Control and Prevention 2022 https://creativecommons.org/licenses/by-nc-sa/4.0/This work is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 4.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by-nc-sa/4.0/ (https://creativecommons.org/licenses/by-nc-sa/4.0/)
spellingShingle Methods and Applications
Zhang, Zhi
Xu, Xiaoqin
Sun, Chengqing
Lu, Jing
Hu, Haiyang
Zhou, Ying
Fu, Gengfeng
Assessment of POC CD4 Detecting Mode in District or County Labs — Jiangsu Province, China, 2021
title Assessment of POC CD4 Detecting Mode in District or County Labs — Jiangsu Province, China, 2021
title_full Assessment of POC CD4 Detecting Mode in District or County Labs — Jiangsu Province, China, 2021
title_fullStr Assessment of POC CD4 Detecting Mode in District or County Labs — Jiangsu Province, China, 2021
title_full_unstemmed Assessment of POC CD4 Detecting Mode in District or County Labs — Jiangsu Province, China, 2021
title_short Assessment of POC CD4 Detecting Mode in District or County Labs — Jiangsu Province, China, 2021
title_sort assessment of poc cd4 detecting mode in district or county labs — jiangsu province, china, 2021
topic Methods and Applications
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9889221/
https://www.ncbi.nlm.nih.gov/pubmed/36751439
http://dx.doi.org/10.46234/ccdcw2022.213
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