Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2023 Nov 15;208(10):1063-1074.
doi: 10.1164/rccm.202211-2166OC.

Lung Function Trajectories and Associated Mortality among Adults with and without Airway Obstruction

Affiliations

Lung Function Trajectories and Associated Mortality among Adults with and without Airway Obstruction

Helena Backman et al. Am J Respir Crit Care Med. .

Abstract

Rationale: Spirometry is essential for diagnosis and assessment of prognosis in patients with chronic obstructive pulmonary disease (COPD). Objectives: To identify FEV1 trajectories and their determinants on the basis of annual spirometry measurements among individuals with and without airway obstruction (AO) and to assess mortality in relation to trajectories. Methods: From 2002 through 2004, individuals with AO (FEV1/VC < 0.70, n = 993) and age- and sex-matched nonobstructive (NO) referents were recruited from population-based cohorts. Annual spirometry until 2014 was used in joint-survival latent-class mixed models to identify lung function trajectories. Mortality data were collected during 15 years of follow-up. Measurements and Main Results: Three trajectories were identified among the subjects with AO and two among the NO referents. Trajectory membership was driven by baseline FEV1% predicted (FEV1%pred) in both groups and also by pack-years in subjects with AO and current smoking in NO referents. Longitudinal FEV1%pred depended on baseline FEV1%pred, pack-years, and obesity. The trajectories were distributed as follows: among individuals with AO, 79.6% in AO trajectory 1 (FEV1 high with normal decline), 12.8% in AO trajectory 2 (FEV1 high with rapid decline), and 7.7% in AO trajectory 3 (FEV1 low with normal decline) (mean, 27, 72, and 26 ml/yr, respectively) and, among NO referents, 96.7% in NO trajectory 1 (FEV1 high with normal decline) and 3.3% in NO trajectory 2 (FEV1 high with rapid decline) (mean, 34 and 173 ml/yr, respectively). Hazard for death was increased for AO trajectories 2 (hazard ratio [HR], 1.56) and 3 (HR, 3.45) versus AO trajectory 1 and for NO trajectory 2 (HR, 2.99) versus NO trajectory 1. Conclusions: Three different FEV1 trajectories were identified among subjects with AO and two among NO referents, with different outcomes in terms of FEV1 decline and mortality. The FEV1 trajectories among subjects with AO and the relationship between low FVC and trajectory outcome are of particular clinical interest.

Keywords: FEV1; chronic obstructive pulmonary disease; natural history; prognosis.

PubMed Disclaimer

Figures

Figure 1.
Figure 1.
FEV1% predicted (FEV1%pred) trajectories estimated using joint-survival latent class mixed models separately among 993 individuals with airway obstruction (AO) (FEV1/VC < 0.70) and 993 nonobstructive (NO) referents without AO (FEV1/VC ⩾ 0.70) at baseline. The solid lines represent the observed means of FEV1%pred, and the shaded areas represent 95% confidence intervals of the means. For subjects with AO who participated in bronchodilation testing, the highest FEV1%pred values from pre- or postbronchodilation testing were used as outcomes. For the NO referents, pre-BD FEV1%pred values were used as outcomes. BD = bronchodilatory; T1 = trajectory 1 (FEV1 high with normal decline); T2 = trajectory 2 (FEV1 high with rapid decline); T3 = trajectory 3 (FEV1 low with normal decline).
Figure 2.
Figure 2.
Histograms of individual prebronchodilatory FEV1 decline (ml/yr) estimates within each of the trajectories, separately among individuals with airway obstruction (FEV1/VC < 0.70) and referents without airway obstruction (FEV1/VC ⩾ 0.70) at baseline. T1 = trajectory 1; T2 = trajectory 2; T3 = trajectory 3.
Figure 3.
Figure 3.
Survival functions for each trajectory and HRs with 95% CIs (T1 as reference), estimated using Cox regression models including sex, age, pack-years of smoking, and overweight and obesity as covariates, separately among 993 subjects with AO and 993 age- and sex-matched NO referents. AO = airway obstruction; CI = confidence interval; HR = hazard ratio; NO = nonobstructive; T1 = trajectory 1 (FEV1 high with normal decline); T2 = trajectory 2 (FEV1 high with rapid decline); T3 = trajectory 3 (FEV1 low with normal decline).

Comment in

References

    1. Adeloye D, Song P, Zhu Y, Campbell H, Sheikh A, Rudan I, NIHR RESPIRE Global Respiratory Health Unit Global, regional, and national prevalence of, and risk factors for, chronic obstructive pulmonary disease (COPD) in 2019: a systematic review and modelling analysis. Lancet Respir Med . 2022;10:447–458. - PMC - PubMed
    1. Agustí A, Celli BR, Criner GJ, Halpin D, Anzueto A, Barnes P, et al. Global Initiative for Chronic Obstructive Lung Disease 2023 report: GOLD executive summary. Am J Respir Crit Care Med . 2023;207:819–837. - PMC - PubMed
    1. Wise RA. The value of forced expiratory volume in 1 second decline in the assessment of chronic obstructive pulmonary disease progression. Am J Med . 2006;119:4–11. - PubMed
    1. Fletcher C, Peto R. The natural history of chronic airflow obstruction. BMJ . 1977;1:1645–1648. - PMC - PubMed
    1. Vestbo J, Lange P. Natural history of COPD: focusing on change in FEV1. Respirology . 2016;21:34–43. - PubMed

Publication types