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"Spirometric" lung age reference equations: A narrative review
Mouna Ben Khelifa1, Halima Ben Salem1, Raoudha Sfaxi2
1Department of Pulmonology, Farhat HACHED Hospital, Sousse, Tunisia.
This review examines spirometric lung-age (SLA) norms, finding six studies predicting SLA in adults. However, most SLA prediction models have significant limitations, impacting their clinical utility.
Area of Science:
- Pulmonary Medicine
- Gerontology
- Biostatistics
Background:
- Spirometric lung-age (SLA) is a concept used to estimate lung function relative to age.
- Established norms are crucial for accurate interpretation of spirometry results, particularly in aging populations.
Purpose of the Study:
- To conduct a narrative review of published norms for spirometric lung-age (SLA).
- To identify and critically evaluate existing equations and algorithms for predicting and interpreting SLA.
Main Methods:
- A comprehensive literature search was performed using PubMed, covering publications from 1970 to June 2017.
- MeSH terms 'Spirometry' and 'Aging' were utilized to identify relevant original studies.
- Six studies reporting SLA prediction equations for adults aged 18-90 years were included in the review.
Main Results:
- Six studies provided SLA prediction equations, utilizing spirometric and anthropometric data from over 32,000 volunteers.
- All studies reported satisfactory validation of their norms.
- Only three studies proposed algorithms for SLA interpretation, and all studies presented limitations regarding sample size, data, methods, and statistical approaches.
Conclusions:
- Existing spirometric lung-age norms are based on limited studies and exhibit significant methodological and statistical flaws.
- Further research with robust methodologies is needed to develop reliable SLA prediction models for clinical application.
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