Physiological quotients and mortality: redefining lung function interpretation beyond FEV <sub>1</sub>

Physiological quotients have greater discriminative ability in the prediction of all-cause mortality than existing metrics, providing an alternative standard for lung function interpretation.

Authors

Institutions

Publication Details

Journal
European Respiratory Journal
Published
2026-01-22
DOI
https://doi.org/10.1183/13993003.02204-2025
Primary Topic
Chronic Obstructive Pulmonary Disease (COPD) Research
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Physiological quotients and mortality: redefining lung function interpretation beyond FEV 1

André F.S. Amaral, Ben Knox-Brown, Lucy Robertson, Karl P Sylvester
European Respiratory Journal
Chronic Obstructive Pulmonary Disease (COPD) Research
article

Physiological quotients and mortality: redefining lung function interpretation beyond FEV 1

André F.S. Amaral, Ben Knox-Brown, Lucy Robertson, Karl P Sylvester
article en

Abstract

Physiological quotients have greater discriminative ability in the prediction of all-cause mortality than existing metrics, providing an alternative standard for lung function interpretation.

European Respiratory Journal
Cambridge University Hospitals NHS Foundation Trust (GB), Papworth Hospital NHS Foundation Trust (GB), NIHR Imperial Biomedical Research Centre (GB), Imperial College London (GB)
Reduced inequalities
Openalex Percentile: Top 82%
Chronic Obstructive Pulmonary Disease (COPD) Research
DOISourceOpenAlex
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.