Bayesian modelling of combined FEV1 and FVC vital lung function trajectories: relationship with airflow obstruction and PRISm
Introduction: Airflow Obstruction and PRISm Through Bayesian Modelling of FEV1 and FVC Trajectories
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: Applying Bayesian Modelling to FEV1 and FVC Trajectories in the Framingham Offspring Cohort
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: Seven Distinct Trajectories Identified via Bayesian Modelling of FEV1 and FVC
This analysis identified seven FEV1 and FVC defined trajectories.
Their description (Table1) was based on both measurements, which were in accordance with each other.
Conclusion: Associations Between Airflow Obstruction, PRISm, and Bayesian Modelled FEV1 and FVC Trajectories
Bayesian non-parametric trajectory modeling identified seven combined FEV1 and FVC life-course trajectories differentially associated to AO or PRISm.
Authors
Núria Olvera Ocaña, Àlvar Agustí, James Ross, Rosa Faner
Read more details at
Noticias relacionadas
Investigación Médica en Hospitales: Conferencia inaugural de las sesiones de médicos residentes del hospital Clinic de Barcelona.
¿Por qué la investigar en un hospital? Porque la investigación médica en hospitales es la ÚNICA forma en la que la medicina puede avanzar.
Change is in the air: key questions on the ‘Treatable Traits’ model for chronic airway diseases in primary care
Explore Treatable Traits model for chronic airway diseases like asthma and COPD in primary care. Learn about seven key traits — airflow obstruction, eosinophilic inflammation, adherence, inhaler technique, smoking, low BMI/obesity and anxiety and depression — that guide personalized care.
Telomere length in patients with bronchiectasis
This study investigates telomere length (TL) in bronchiectasis patients, comparing them to COPD patients and healthy controls. Findings show no significant TL reduction in bronchiectasis compared to controls, but a trend towards shorter TL in idiopathic cases. Further research is needed to understand TL’s role in bronchiectasis.
Artículos
Estudios
- 759397·Alberto Sandiumenge et Al.-Systemic Inflammation Differences in Brain-vs. Circulatory-Dead Donors: Impact on Lung Transplant Recipients
- 759578·Alberto Papi et Al.-Relationships between symptoms and lung function in asthma and/or chronic obstructive pulmonary disease in a real-life setting: the NOVEL observational longiTudinal studY
- 759689·Kilian Vellvé et Alt.- Pulmonary vascular reactivity in growth restricted fetuses using computational modelling and machine learning analysis of fetal Doppler waveforms.
- 769273· Singh D, Criner GJ, Agustí A et al. Benralizumab Prevents Recurrent Exacerbations in Patients with Chronic Obstructive Pulmonary Disease: A Post Hoc Analysis
- 769685·Nuria Olvera et Al.- Lung Tissue Multi-Layer Network Analysis Uncovers the Molecular Heterogeneity of COPD
Imagen desarrollada con Canva
