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Microbiota Emergencies in the Diagnosis of Lung Diseases: A Meta-Analysis

Although many studies have reported that microbiota emergencies are deeply involved in the occurrence and subsequent progression of lung diseases, the present diagnosis of lung disease depends on microbiota markers, which is still poorly understood. Therefore, a meta-analysis was performed to confir...

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Autores principales: Ruan, Renyu, Deng, Xiangmin, Dong, Xiaoyan, Wang, Qi, Lv, Xiaoling, Si, Caijuan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8490768/
https://www.ncbi.nlm.nih.gov/pubmed/34621687
http://dx.doi.org/10.3389/fcimb.2021.709634
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author Ruan, Renyu
Deng, Xiangmin
Dong, Xiaoyan
Wang, Qi
Lv, Xiaoling
Si, Caijuan
author_facet Ruan, Renyu
Deng, Xiangmin
Dong, Xiaoyan
Wang, Qi
Lv, Xiaoling
Si, Caijuan
author_sort Ruan, Renyu
collection PubMed
description Although many studies have reported that microbiota emergencies are deeply involved in the occurrence and subsequent progression of lung diseases, the present diagnosis of lung disease depends on microbiota markers, which is still poorly understood. Therefore, a meta-analysis was performed to confirm lung microbiota markers for the diagnosis of lung diseases. Literature databases were searched following the inclusion and exclusion criteria. There are 6 studies including 1347 patients and 26 comparisons to be enrolled, and then the diagnostic effect was evaluated using Stata 14.0 and Meta-disc 1.4 software. The pooled sensitivity (SEN), specificity (SPE), diagnostic likelihood ratio positive (DLR+), diagnostic likelihood ratio negative (DLR−), and diagnostic OR (DOR), as well as area under the curve (AUC) of microbiota markers in the diagnosis of lung diseases were 0.90 (95% CI: 0.83-0.94), 0.89 (95% CI: 0.76-0.95), 7.86 (95% CI: 3.39-18.21), 0.12 (95% CI: 0.06-0.21), 22.254 (95% CI: 12.83-39.59.14), and 0.95 (95% CI: 0.93-0.97), respectively. Subgroup analysis revealed that research based on Caucasian, adult, BAL fluid, PCR, pneumonia obtained higher AUC values. The microbiota markers have shown potential diagnosis value for lung diseases. But further large-scale clinical studies are still needed to verify and replicate the diagnostic value of lung microbiota markers.
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spelling pubmed-84907682021-10-06 Microbiota Emergencies in the Diagnosis of Lung Diseases: A Meta-Analysis Ruan, Renyu Deng, Xiangmin Dong, Xiaoyan Wang, Qi Lv, Xiaoling Si, Caijuan Front Cell Infect Microbiol Cellular and Infection Microbiology Although many studies have reported that microbiota emergencies are deeply involved in the occurrence and subsequent progression of lung diseases, the present diagnosis of lung disease depends on microbiota markers, which is still poorly understood. Therefore, a meta-analysis was performed to confirm lung microbiota markers for the diagnosis of lung diseases. Literature databases were searched following the inclusion and exclusion criteria. There are 6 studies including 1347 patients and 26 comparisons to be enrolled, and then the diagnostic effect was evaluated using Stata 14.0 and Meta-disc 1.4 software. The pooled sensitivity (SEN), specificity (SPE), diagnostic likelihood ratio positive (DLR+), diagnostic likelihood ratio negative (DLR−), and diagnostic OR (DOR), as well as area under the curve (AUC) of microbiota markers in the diagnosis of lung diseases were 0.90 (95% CI: 0.83-0.94), 0.89 (95% CI: 0.76-0.95), 7.86 (95% CI: 3.39-18.21), 0.12 (95% CI: 0.06-0.21), 22.254 (95% CI: 12.83-39.59.14), and 0.95 (95% CI: 0.93-0.97), respectively. Subgroup analysis revealed that research based on Caucasian, adult, BAL fluid, PCR, pneumonia obtained higher AUC values. The microbiota markers have shown potential diagnosis value for lung diseases. But further large-scale clinical studies are still needed to verify and replicate the diagnostic value of lung microbiota markers. Frontiers Media S.A. 2021-09-21 /pmc/articles/PMC8490768/ /pubmed/34621687 http://dx.doi.org/10.3389/fcimb.2021.709634 Text en Copyright © 2021 Ruan, Deng, Dong, Wang, Lv and Si https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Cellular and Infection Microbiology
Ruan, Renyu
Deng, Xiangmin
Dong, Xiaoyan
Wang, Qi
Lv, Xiaoling
Si, Caijuan
Microbiota Emergencies in the Diagnosis of Lung Diseases: A Meta-Analysis
title Microbiota Emergencies in the Diagnosis of Lung Diseases: A Meta-Analysis
title_full Microbiota Emergencies in the Diagnosis of Lung Diseases: A Meta-Analysis
title_fullStr Microbiota Emergencies in the Diagnosis of Lung Diseases: A Meta-Analysis
title_full_unstemmed Microbiota Emergencies in the Diagnosis of Lung Diseases: A Meta-Analysis
title_short Microbiota Emergencies in the Diagnosis of Lung Diseases: A Meta-Analysis
title_sort microbiota emergencies in the diagnosis of lung diseases: a meta-analysis
topic Cellular and Infection Microbiology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8490768/
https://www.ncbi.nlm.nih.gov/pubmed/34621687
http://dx.doi.org/10.3389/fcimb.2021.709634
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