Age and mini-mental state examination score can predict poor-quality spirometry in the elderly: a cross-sectional study

OBJECTIVES: The goal was to identify predictors of poor-quality spirometry in community-dwelling older adults and their respective cutoffs. METHODS: This was a cross-sectional population-based study involving 245 elderly subjects (age≥60 years). The spirometric data were categorized as good or poor quality, and cognitive status was assessed using an adapted version (scaled to have a maximum of 19 points) of the Mini-Mental State Examination. Multivariate analysis was used to assess the association between poor-quality spirometry and sociodemographic, behavioral and health characteristics. The best cutoff points for predicting poor-quality spirometry were evaluated by the receiver operating characteristic curve. RESULTS: In this population, 61 (24.9%) subjects with poor-quality spirometry were identified. After multiple logistic regression analysis, only age and Mini-Mental State Examination score were still associated with poor-quality spirometry (p≤0.05). The cutoff for the Mini-Mental State Examination score was 15 points, with an area under the receiver operating characteristic curve of 0.628 (p=0.0017), sensitivity of 74.5% and specificity of 49.5%; for age, the cutoff was 78 years, with an area under the receiver operating characteristic curve of 0.718 (p=0.0001), sensitivity of 57.4% and specificity of 79.9%. CONCLUSION: Age and Mini-Mental State Examination score together are good predictors of poor-quality spirometry and can contribute to the screening of community-dwelling older adults unable to meet the minimum quality criteria for a spirometric test.

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Main Authors: Queiroz,Rodrigo Santos de, Faria,Luciano Magno de Almeida, Carneiro,José Ailton Oliveira, Coqueiro,Raildo da Silva, Fernandes,Marcos Henrique
Format: Digital revista
Language:English
Published: Faculdade de Medicina / USP 2018
Online Access:http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1807-59322018000100259
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spelling oai:scielo:S1807-593220180001002592018-10-05Age and mini-mental state examination score can predict poor-quality spirometry in the elderly: a cross-sectional studyQueiroz,Rodrigo Santos deFaria,Luciano Magno de AlmeidaCarneiro,José Ailton OliveiraCoqueiro,Raildo da SilvaFernandes,Marcos Henrique Respiratory Function Tests Spirometry Quality Control Aged Mild Cognitive Impairment OBJECTIVES: The goal was to identify predictors of poor-quality spirometry in community-dwelling older adults and their respective cutoffs. METHODS: This was a cross-sectional population-based study involving 245 elderly subjects (age≥60 years). The spirometric data were categorized as good or poor quality, and cognitive status was assessed using an adapted version (scaled to have a maximum of 19 points) of the Mini-Mental State Examination. Multivariate analysis was used to assess the association between poor-quality spirometry and sociodemographic, behavioral and health characteristics. The best cutoff points for predicting poor-quality spirometry were evaluated by the receiver operating characteristic curve. RESULTS: In this population, 61 (24.9%) subjects with poor-quality spirometry were identified. After multiple logistic regression analysis, only age and Mini-Mental State Examination score were still associated with poor-quality spirometry (p≤0.05). The cutoff for the Mini-Mental State Examination score was 15 points, with an area under the receiver operating characteristic curve of 0.628 (p=0.0017), sensitivity of 74.5% and specificity of 49.5%; for age, the cutoff was 78 years, with an area under the receiver operating characteristic curve of 0.718 (p=0.0001), sensitivity of 57.4% and specificity of 79.9%. CONCLUSION: Age and Mini-Mental State Examination score together are good predictors of poor-quality spirometry and can contribute to the screening of community-dwelling older adults unable to meet the minimum quality criteria for a spirometric test.info:eu-repo/semantics/openAccessFaculdade de Medicina / USPClinics v.73 20182018-01-01info:eu-repo/semantics/articletext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1807-59322018000100259en10.6061/clinics/2018/e374
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countrycode BR
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libraryname SciELO
language English
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author Queiroz,Rodrigo Santos de
Faria,Luciano Magno de Almeida
Carneiro,José Ailton Oliveira
Coqueiro,Raildo da Silva
Fernandes,Marcos Henrique
spellingShingle Queiroz,Rodrigo Santos de
Faria,Luciano Magno de Almeida
Carneiro,José Ailton Oliveira
Coqueiro,Raildo da Silva
Fernandes,Marcos Henrique
Age and mini-mental state examination score can predict poor-quality spirometry in the elderly: a cross-sectional study
author_facet Queiroz,Rodrigo Santos de
Faria,Luciano Magno de Almeida
Carneiro,José Ailton Oliveira
Coqueiro,Raildo da Silva
Fernandes,Marcos Henrique
author_sort Queiroz,Rodrigo Santos de
title Age and mini-mental state examination score can predict poor-quality spirometry in the elderly: a cross-sectional study
title_short Age and mini-mental state examination score can predict poor-quality spirometry in the elderly: a cross-sectional study
title_full Age and mini-mental state examination score can predict poor-quality spirometry in the elderly: a cross-sectional study
title_fullStr Age and mini-mental state examination score can predict poor-quality spirometry in the elderly: a cross-sectional study
title_full_unstemmed Age and mini-mental state examination score can predict poor-quality spirometry in the elderly: a cross-sectional study
title_sort age and mini-mental state examination score can predict poor-quality spirometry in the elderly: a cross-sectional study
description OBJECTIVES: The goal was to identify predictors of poor-quality spirometry in community-dwelling older adults and their respective cutoffs. METHODS: This was a cross-sectional population-based study involving 245 elderly subjects (age≥60 years). The spirometric data were categorized as good or poor quality, and cognitive status was assessed using an adapted version (scaled to have a maximum of 19 points) of the Mini-Mental State Examination. Multivariate analysis was used to assess the association between poor-quality spirometry and sociodemographic, behavioral and health characteristics. The best cutoff points for predicting poor-quality spirometry were evaluated by the receiver operating characteristic curve. RESULTS: In this population, 61 (24.9%) subjects with poor-quality spirometry were identified. After multiple logistic regression analysis, only age and Mini-Mental State Examination score were still associated with poor-quality spirometry (p≤0.05). The cutoff for the Mini-Mental State Examination score was 15 points, with an area under the receiver operating characteristic curve of 0.628 (p=0.0017), sensitivity of 74.5% and specificity of 49.5%; for age, the cutoff was 78 years, with an area under the receiver operating characteristic curve of 0.718 (p=0.0001), sensitivity of 57.4% and specificity of 79.9%. CONCLUSION: Age and Mini-Mental State Examination score together are good predictors of poor-quality spirometry and can contribute to the screening of community-dwelling older adults unable to meet the minimum quality criteria for a spirometric test.
publisher Faculdade de Medicina / USP
publishDate 2018
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1807-59322018000100259
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