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Normal spirometry values in healthy elderly: the Rotterdam Study.

Daan Willem Loth¹, Till Ittermann, Lies Lahousse

¹Department of Epidemiology, Erasmus Medical Center, PO Box 2040, 3000 CA Rotterdam, The Netherlands. d.loth@erasmusmc.nl

European Journal of Epidemiology

|March 30, 2013

Summary

This study provides new reference values for lung function tests, including Forced Expiratory Volume in 1 s (FEV1) and Forced Vital Capacity (FVC), specifically for healthy elderly individuals. These updated spirometry values are crucial for accurate respiratory health assessments in older adults.

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Area of Science:

Pulmonary Medicine
Gerontology
Epidemiology

Background:

Existing spirometry reference values often underrepresent the elderly population.
Accurate lung function reference values are essential for diagnosing respiratory conditions.

Purpose of the Study:

To establish age- and height-specific spirometry reference values for a large cohort of healthy elderly individuals.
To address the underrepresentation of older adults in previous spirometry studies.

Main Methods:

Utilized spirometry data from 1,125 healthy, non-smoking participants (aged 47-96) in the prospective Rotterdam Study.
Employed quantile regression models to calculate 5th (lower limit of normal) and 50th (median) percentile curves for FEV1, FVC, and FEV1/FVC.
Stratified equations by sex, adjusted for age and height.

Main Results:

Generated age- and height-dependent reference limits for FEV1, FVC, and FEV1/FVC in a diverse population.
Developed prediction equations for median and lower limit of normal values, specifically for the elderly cohort.
The study included a significant proportion of healthy elderly participants (mean age 68).

Conclusions:

This research provides crucial, updated spirometry reference values for the healthy elderly population.
The derived prediction equations enhance the accuracy of diagnosing lung function abnormalities in older adults.
These findings contribute to improved respiratory care and research involving aging populations.