Abstract

INTRODUCTION 
Previous studies have shown that there is a range of FEV1 trajectories across the lifespan. Yet, how trajectories defined by the combination of both FEV1 and FVC relate to airflow obstruction (AO; FEV1/FVC<0.7 and FEV1< 80% ref.) or Preserved Ratio Impaired Spirometry (PRISm; FEV1/FVC ? 0.7 and FEV1 < 80% ref.) is unknown.  
METHODS 
We applied Bayesian non-parametric mixture modeling to data from the Framingham Offspring Cohort (FOC). Trajectory subgroups were identified by simultaneously modeling both pre-bronchodilator FEV1 and FVC (in liters) as a function of age and height. We modeled all males >20  yr. (N=1,333). The prevalence of AO or PRISm and age of onset was compared across trajectories.   
RESULTS  
This analysis identified seven FEV1 and FVC defined trajectories. Their description (Table1) was based on both measurements, which were in accordance with each other.

Description (based on FEV1 and FVC) 

N individuals

Airflow limitation (n, % traj, % of all AO)

Mean age of onset for AO
PRISm (n, % traj) Mean age of onset for PRISm
Supranormal

44 (3.3%)

- - - -
Above Average

359 (26.9%)

 1 (0.28%, 0.61%)
 

51

- -
Above average, accelerated decline 13 (1%) 10 (77%, 6.1%)

55

2 (15.4%)

52

Average

549 (41.2%)

32 (5.8%, 19.6%)

57

6 (1.09%)

49

Below Average 271 (20.3%)

79 (29.2%, 48.5%)

51

124 (45.8%)

37

Persistently Low 55 (4.1%)

22 (40%, 13.5%)

54

46 (83.6%)

35

Below average, accelerated decline 14 (1.1%) 8 (57.1%, 4.9%) 46 9 (64.3%) 32

CONCLUSIONS 
Bayesian non-parametric trajectory modeling identified seven combined FEV1 and FVC life-course trajectories differentially associated to AO or PRISm.