Reference equations for oscillometry and their differences among populations: a systematic scoping review

Autor: Andy Deprato, Giovanni Ferrara, Mohit Bhutani, Lyle Melenka, Nicola Murgia, Omar S. Usmani, Paige Lacy, Subhabrata Moitra
Jazyk: angličtina
Rok vydání: 2022
Předmět:
Zdroj: European Respiratory Review, Vol 31, Iss 165 (2022)
Druh dokumentu: article
ISSN: 0905-9180
1600-0617
16000617
DOI: 10.1183/16000617.0021-2022
Popis: Respiratory oscillometry is gaining global attention over traditional pulmonary function tests for its sensitivity in detecting small airway obstructions. However, its use in clinical settings as a diagnostic tool is limited because oscillometry lacks globally accepted reference values. In this scoping review, we systematically assessed the differences between selected oscillometric reference equations with the hypothesis that significant heterogeneity existed between them. We searched bibliographic databases, registries and references for studies that developed equations for healthy adult populations according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. A widely used Caucasian model was used as the standard reference and compared against other models using Bland–Altman and Lin's concordance correlational analyses. We screened 1202 titles and abstracts, and after a full-text review of 67 studies, we included 10 in our analyses. Of these, three models had a low-to-moderate agreement with the reference model, particularly those developed from non-Caucasian populations. Although the other six models had a moderate-to-high agreement with the standard model, there were still significant sex-specific variations. This is the first systematic analysis of the heterogeneity between oscillometric reference models and warrants the validation of appropriate equations in clinical applications of oscillometry to avoid diagnostic errors.
Databáze: Directory of Open Access Journals
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