ArticleClinics (Sao Paulo, Brazil)2018
Age and mini-mental state examination score can predict poor-quality spirometry in the elderly: a cross-sectional study.
Article in Clinics (Sao Paulo, Brazil), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed, 8 citations in OpenAlex.
- The association between spirometry measurement quality, cognitive function, and mortality.Archives of public health = Archives belges de sante publique · 2025Article
- Perioperative Pulmonary Support of the Elderly.Current geriatrics reports · 2021Review
- Impact of Age-related Diseases on Pulmonary Function Tests in Older Japanese Adults: A Cross-sectional Pilot Study.JMA journal · 2020Article
- Quality of spirometry testing in a community setting: A study among elderly persons in a rural area of Haryana.Journal of family medicine and primary care · 2019Article
- Utility of FEV1/FEV6 index in patients with multimorbidity hospitalized for decompensation of chronic diseases.PloS one · 2019Article
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Authors and funding
5 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectivesThe goal was to identify predictors of poor-quality spirometry in community-dwelling older adults and their respective cutoffs.
methodsThis 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.
resultsIn 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%.
conclusionAge 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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