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Using Spirometry to Rule Out Restriction in Patients with Concomitant Low Forced Vital Capacity and Obstructive Pattern

BACKGROUND: Different formulas have been proposed to exclude restriction based on spirometry, however none of them have specifically tested the patients whose spirometry show both obstruction and a low forced vital capacity (FVC). STUDY OBJECTIVE: The study was designed to create an algorithm that w...

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Detalles Bibliográficos
Autores principales: Khalid, Imran, Morris, Zachary Q, Khalid, Tabindeh J, Nisar, Amina, DiGiovine, Bruno
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Bentham Open 2011
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3132864/
https://www.ncbi.nlm.nih.gov/pubmed/21754975
http://dx.doi.org/10.2174/1874306401105010044
Descripción
Sumario:BACKGROUND: Different formulas have been proposed to exclude restriction based on spirometry, however none of them have specifically tested the patients whose spirometry show both obstruction and a low forced vital capacity (FVC). STUDY OBJECTIVE: The study was designed to create an algorithm that would better predict the absence of restriction in such patients. DESIGN: Retrospective analysis of prospectively collected data. METHODS: A cohort of consecutive adults that underwent complete pulmonary function testing from 2002-2004 was analyzed. The data was randomly split into two groups to allow for derivation and then validation of a predictive formula. Patients were randomly assigned into either a “derivation” or “validation” group. In the derivation group, stepwise logistic regression was used to determine a formula and optimal cut-off value for the variable with the best discriminative capacity. The formula was applied subsequently to the validation group to test the results and compared to previously published formula. RESULTS: The study group contained 766 patients. We determined that the variable with the highest association with TLC was [(FEV(1)/FVC) % predicted/FVC % predicted]. A value of ≥1.11 was found to be the maximal cutoff to predict the absence of restriction. The formula was applied to a validation group (n=397) and performed better than prior published algorithm with a sensitivity, specificity, positive predictive value and negative predictive value of 95%, 44%, 22%, and 98%, respectively. CONCLUSION: Our formula performs superior to the previously published algorithms in patients with concomitant low FVC and obstruction to exclude restriction.