Cargando…
Spirometry parameters used to define small airways obstruction in population-based studies: systematic review
BACKGROUND: The assessment of small airways obstruction (SAO) using spirometry is practiced in population-based studies. However, it is not clear what are the most used parameters and cut-offs to define abnormal results. METHODS: We searched three databases (Medline, Web of Science, Google Scholar)...
Autores principales: | , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8939095/ https://www.ncbi.nlm.nih.gov/pubmed/35313875 http://dx.doi.org/10.1186/s12931-022-01990-2 |
_version_ | 1784672674024259584 |
---|---|
author | Knox-Brown, Ben Mulhern, Octavia Feary, Johanna Amaral, Andre F. S. |
author_facet | Knox-Brown, Ben Mulhern, Octavia Feary, Johanna Amaral, Andre F. S. |
author_sort | Knox-Brown, Ben |
collection | PubMed |
description | BACKGROUND: The assessment of small airways obstruction (SAO) using spirometry is practiced in population-based studies. However, it is not clear what are the most used parameters and cut-offs to define abnormal results. METHODS: We searched three databases (Medline, Web of Science, Google Scholar) for population-based studies, published by 1 May 2021, that used spirometry parameters to identify SAO and/or provided criteria for defining SAO. We systematically reviewed these studies and summarised evidence to determine the most widely used spirometry parameter and criteria for defining SAO. In addition, we extracted prevalence estimates and identified associated risk factors. To estimate a pooled prevalence of SAO, we conducted a meta-analysis and explored heterogeneity across studies using meta regression. RESULTS: Twenty-five studies used spirometry to identify SAO. The most widely utilised parameter (15 studies) was FEF(25–75), either alone or in combination with other measurements. Ten studies provided criteria for the definition of SAO, of which percent predicted cut-offs were the most common (5 studies). However, there was no agreement on which cut-off value to use. Prevalence of SAO ranged from 7.5% to 45.9%. As a result of high heterogeneity across studies (I(2) = 99.3%), explained by choice of spirometry parameter and WHO region, we do not present a pooled prevalence estimate. CONCLUSION: There is a lack of consensus regarding the best spirometry parameter or defining criteria for identification of SAO. The value of continuing to measure SAO using spirometry is unclear without further research using large longitudinal data. PROSPERO registration number CRD42021250206 SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12931-022-01990-2. |
format | Online Article Text |
id | pubmed-8939095 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-89390952022-03-23 Spirometry parameters used to define small airways obstruction in population-based studies: systematic review Knox-Brown, Ben Mulhern, Octavia Feary, Johanna Amaral, Andre F. S. Respir Res Research BACKGROUND: The assessment of small airways obstruction (SAO) using spirometry is practiced in population-based studies. However, it is not clear what are the most used parameters and cut-offs to define abnormal results. METHODS: We searched three databases (Medline, Web of Science, Google Scholar) for population-based studies, published by 1 May 2021, that used spirometry parameters to identify SAO and/or provided criteria for defining SAO. We systematically reviewed these studies and summarised evidence to determine the most widely used spirometry parameter and criteria for defining SAO. In addition, we extracted prevalence estimates and identified associated risk factors. To estimate a pooled prevalence of SAO, we conducted a meta-analysis and explored heterogeneity across studies using meta regression. RESULTS: Twenty-five studies used spirometry to identify SAO. The most widely utilised parameter (15 studies) was FEF(25–75), either alone or in combination with other measurements. Ten studies provided criteria for the definition of SAO, of which percent predicted cut-offs were the most common (5 studies). However, there was no agreement on which cut-off value to use. Prevalence of SAO ranged from 7.5% to 45.9%. As a result of high heterogeneity across studies (I(2) = 99.3%), explained by choice of spirometry parameter and WHO region, we do not present a pooled prevalence estimate. CONCLUSION: There is a lack of consensus regarding the best spirometry parameter or defining criteria for identification of SAO. The value of continuing to measure SAO using spirometry is unclear without further research using large longitudinal data. PROSPERO registration number CRD42021250206 SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12931-022-01990-2. BioMed Central 2022-03-21 2022 /pmc/articles/PMC8939095/ /pubmed/35313875 http://dx.doi.org/10.1186/s12931-022-01990-2 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Knox-Brown, Ben Mulhern, Octavia Feary, Johanna Amaral, Andre F. S. Spirometry parameters used to define small airways obstruction in population-based studies: systematic review |
title | Spirometry parameters used to define small airways obstruction in population-based studies: systematic review |
title_full | Spirometry parameters used to define small airways obstruction in population-based studies: systematic review |
title_fullStr | Spirometry parameters used to define small airways obstruction in population-based studies: systematic review |
title_full_unstemmed | Spirometry parameters used to define small airways obstruction in population-based studies: systematic review |
title_short | Spirometry parameters used to define small airways obstruction in population-based studies: systematic review |
title_sort | spirometry parameters used to define small airways obstruction in population-based studies: systematic review |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8939095/ https://www.ncbi.nlm.nih.gov/pubmed/35313875 http://dx.doi.org/10.1186/s12931-022-01990-2 |
work_keys_str_mv | AT knoxbrownben spirometryparametersusedtodefinesmallairwaysobstructioninpopulationbasedstudiessystematicreview AT mulhernoctavia spirometryparametersusedtodefinesmallairwaysobstructioninpopulationbasedstudiessystematicreview AT fearyjohanna spirometryparametersusedtodefinesmallairwaysobstructioninpopulationbasedstudiessystematicreview AT amaralandrefs spirometryparametersusedtodefinesmallairwaysobstructioninpopulationbasedstudiessystematicreview |