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Screening tool for restrictive and obstructive ventilatory abnormalities in a population-based survey
Fernandez-Plata, Rosario; Thirion-Romero, Ireri; Martinez-Briseño, David; Franco-Marina, Francisco; Perez-Padilla, Rogelio.
  • Fernandez-Plata, Rosario; Instituto Nacional de Enfermedades Respiratorias Ismael Cosío Villegas. Department of Epidemiology. Mexico City. MX
  • Thirion-Romero, Ireri; Instituto Nacional de Enfermedades Respiratorias Ismael Cosío Villegas. Department of Investigation on Tobacco and Chronic Obstructive Pulmonary Disease. Mexico City. MX
  • Martinez-Briseño, David; Instituto Nacional de Enfermedades Respiratorias Ismael Cosío Villegas. Department of Epidemiology. Mexico City. MX
  • Franco-Marina, Francisco; Instituto Nacional de Enfermedades Respiratorias Ismael Cosío Villegas. Department of Epidemiology. Mexico City. MX
  • Perez-Padilla, Rogelio; Instituto Nacional de Enfermedades Respiratorias Ismael Cosío Villegas. Department of Investigation on Tobacco and Chronic Obstructive Pulmonary Disease. Mexico City. MX
Rev. invest. clín ; 72(6): 386-393, Nov.-Dec. 2020. tab, graf
Article in English | LILACS | ID: biblio-1289734
ABSTRACT
Abstract

Background:

A 6 s spirometry with an inexpensive pocket spirometer efficiently selects individuals for a diagnostic-quality spirometry for airflow limitation, but could also be useful to identify individuals with a restrictive pattern.

Objectives:

We evaluated an inexpensive simplified spirometer (chronic obstructive pulmonary disease [COPD]-6) as a screening tool to identify spirometric abnormalities.

Methods:

A population-based survey in Mexico City, with 742 participants performing pre- and post-BD spirometry and a three-maneuver 6 s spirometry (pre-BD) with a COPD-6. We evaluated forced expiratory volume in 1 s (FEV1), FEV6, and FEV1/FEV6 from the COPD-6, crude and expressed as the percentage of predicted (%P), to discriminate post-bronchodilator airflow obstruction (FEV1/forced vital capacity [FVC] <5th percentile) or restriction (FVC or FEV1 <5th percentile with normal FEV1/FVC) through receiver operating characteristics and their area under the curve (AUC).

Results:

FEV1%P was the best predictor to identify pre- and post-BD ventilatory abnormalities (best cutoff point 87%P, AUC 92% for restrictive pattern, 89% for obstructive pattern, and 91% for any spirometric abnormality). Deriving to clinical spirometry only those with <87%P (26% of the sample) missed only 12% of spirometric abnormalities most of the latter mild.

Conclusions:

An FEV1 <87%P from a pre-BD 6 s spirometry correctly identified individuals with spirometric ventilatory defects, either obstructive or restrictive.
Subject(s)


Full text: Available Index: LILACS (Americas) Main subject: Spirometry / Mass Screening / Pulmonary Disease, Chronic Obstructive Type of study: Diagnostic study / Prognostic study / Screening study Limits: Adult / Humans Country/Region as subject: Mexico Language: English Journal: Rev. invest. clín Journal subject: Medicine Year: 2020 Type: Article Affiliation country: Mexico Institution/Affiliation country: Instituto Nacional de Enfermedades Respiratorias Ismael Cosío Villegas/MX

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Full text: Available Index: LILACS (Americas) Main subject: Spirometry / Mass Screening / Pulmonary Disease, Chronic Obstructive Type of study: Diagnostic study / Prognostic study / Screening study Limits: Adult / Humans Country/Region as subject: Mexico Language: English Journal: Rev. invest. clín Journal subject: Medicine Year: 2020 Type: Article Affiliation country: Mexico Institution/Affiliation country: Instituto Nacional de Enfermedades Respiratorias Ismael Cosío Villegas/MX