Cargando…

Cell population data in identifying active tuberculosis and community-acquired pneumonia

OBJECTIVE: Leukocyte morphological parameters known as CPD (cell population data) is detected by hematology analyzer UniCel DxH800 with VCS technology. This study aimed to investigate the diagnostic efficacy of morphological changes in CPD parameters in distinguishing active tuberculosis from commun...

Descripción completa

Detalles Bibliográficos
Autores principales: Sun, Tingting, Wu, Bin, Luo, Zhonglan, Wang, Jing, Deng, Shaoli, Huang, Qing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: De Gruyter 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8359903/
https://www.ncbi.nlm.nih.gov/pubmed/34435139
http://dx.doi.org/10.1515/med-2021-0322
_version_ 1783737632333758464
author Sun, Tingting
Wu, Bin
Luo, Zhonglan
Wang, Jing
Deng, Shaoli
Huang, Qing
author_facet Sun, Tingting
Wu, Bin
Luo, Zhonglan
Wang, Jing
Deng, Shaoli
Huang, Qing
author_sort Sun, Tingting
collection PubMed
description OBJECTIVE: Leukocyte morphological parameters known as CPD (cell population data) is detected by hematology analyzer UniCel DxH800 with VCS technology. This study aimed to investigate the diagnostic efficacy of morphological changes in CPD parameters in distinguishing active tuberculosis from community-acquired pneumonia. METHODS: From October 2018 to February 2019, 88 patients with active tuberculosis, 78 patients with community-acquired pneumonia, and 89 healthy controls were enrolled in this study. CPD was obtained using Unicel DxH800 analyzer for all whole blood samples, one-way ANOVA (non-parametric) and area analysis under ROC curve were performed. RESULTS: The neutrophil mean conductivity (NMC), monocyte mean volume (MMV), monocyte mean conductivity (MMC), lymphocyte percentage (LY%), and monocyte percentage (MO%) were significantly higher in the active tuberculosis group than in the community-acquired pneumonia group. The white blood cell (WBC) count and neutrophil percentage (NE%) were significantly lower in the active tuberculosis group than in the community-acquired pneumonia group. The analysis of the area under the ROC curve proved that WBC count, neutrophil percentage (NE%), lymphocyte percentage (LY%), and monocyte percentage (MO%) did not achieve a higher area under the curve (AUC: 0.63, 0.71, 0.62, and 0.7, respectively). However, the AUC of NMC, MMV, and MMC in the CPD parameters was 0.951, 0.877, 0.98, respectively, and the simultaneous measurement of the three parameters was 0.99. The sensitivity and specificity were 98.5% and 91.1%, respectively. CONCLUSION: The combined diagnosis of NMC, MMV, and MMC could assist the clinical diagnosis of active tuberculosis and community-acquired pneumonia.
format Online
Article
Text
id pubmed-8359903
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher De Gruyter
record_format MEDLINE/PubMed
spelling pubmed-83599032021-08-24 Cell population data in identifying active tuberculosis and community-acquired pneumonia Sun, Tingting Wu, Bin Luo, Zhonglan Wang, Jing Deng, Shaoli Huang, Qing Open Med (Wars) Research Article OBJECTIVE: Leukocyte morphological parameters known as CPD (cell population data) is detected by hematology analyzer UniCel DxH800 with VCS technology. This study aimed to investigate the diagnostic efficacy of morphological changes in CPD parameters in distinguishing active tuberculosis from community-acquired pneumonia. METHODS: From October 2018 to February 2019, 88 patients with active tuberculosis, 78 patients with community-acquired pneumonia, and 89 healthy controls were enrolled in this study. CPD was obtained using Unicel DxH800 analyzer for all whole blood samples, one-way ANOVA (non-parametric) and area analysis under ROC curve were performed. RESULTS: The neutrophil mean conductivity (NMC), monocyte mean volume (MMV), monocyte mean conductivity (MMC), lymphocyte percentage (LY%), and monocyte percentage (MO%) were significantly higher in the active tuberculosis group than in the community-acquired pneumonia group. The white blood cell (WBC) count and neutrophil percentage (NE%) were significantly lower in the active tuberculosis group than in the community-acquired pneumonia group. The analysis of the area under the ROC curve proved that WBC count, neutrophil percentage (NE%), lymphocyte percentage (LY%), and monocyte percentage (MO%) did not achieve a higher area under the curve (AUC: 0.63, 0.71, 0.62, and 0.7, respectively). However, the AUC of NMC, MMV, and MMC in the CPD parameters was 0.951, 0.877, 0.98, respectively, and the simultaneous measurement of the three parameters was 0.99. The sensitivity and specificity were 98.5% and 91.1%, respectively. CONCLUSION: The combined diagnosis of NMC, MMV, and MMC could assist the clinical diagnosis of active tuberculosis and community-acquired pneumonia. De Gruyter 2021-08-11 /pmc/articles/PMC8359903/ /pubmed/34435139 http://dx.doi.org/10.1515/med-2021-0322 Text en © 2021 Tingting Sun et al., published by De Gruyter https://creativecommons.org/licenses/by/4.0/This work is licensed under the Creative Commons Attribution 4.0 International License.
spellingShingle Research Article
Sun, Tingting
Wu, Bin
Luo, Zhonglan
Wang, Jing
Deng, Shaoli
Huang, Qing
Cell population data in identifying active tuberculosis and community-acquired pneumonia
title Cell population data in identifying active tuberculosis and community-acquired pneumonia
title_full Cell population data in identifying active tuberculosis and community-acquired pneumonia
title_fullStr Cell population data in identifying active tuberculosis and community-acquired pneumonia
title_full_unstemmed Cell population data in identifying active tuberculosis and community-acquired pneumonia
title_short Cell population data in identifying active tuberculosis and community-acquired pneumonia
title_sort cell population data in identifying active tuberculosis and community-acquired pneumonia
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8359903/
https://www.ncbi.nlm.nih.gov/pubmed/34435139
http://dx.doi.org/10.1515/med-2021-0322
work_keys_str_mv AT suntingting cellpopulationdatainidentifyingactivetuberculosisandcommunityacquiredpneumonia
AT wubin cellpopulationdatainidentifyingactivetuberculosisandcommunityacquiredpneumonia
AT luozhonglan cellpopulationdatainidentifyingactivetuberculosisandcommunityacquiredpneumonia
AT wangjing cellpopulationdatainidentifyingactivetuberculosisandcommunityacquiredpneumonia
AT dengshaoli cellpopulationdatainidentifyingactivetuberculosisandcommunityacquiredpneumonia
AT huangqing cellpopulationdatainidentifyingactivetuberculosisandcommunityacquiredpneumonia