Spirometric classifications of COPD severity as predictive markers for clinical outcomes: the HUNT Study

• DOI: 10.1101/2020.11.03.20221432
• Publication Date: 2020-11-05T16:10:12Z
• Authors: Laxmi Bhatta; Linda Leivseth; Xiao-Mei Mai; Anne Hildur Henri...; David Carslake; Yue Chen; Pablo Martinez-Ca...; Arnulf Langhammer; Ben Michael Brumpton
• Keywords: Quartile

ABSTRACT Rationale GOLD grades based on percent-predicted FEV 1 poorly predicts mortality. Studies have recommended alternative expressions of for the classification COPD severity and they warrant investigation. Objective To compare predictive abilities ppFEV (ppFEV quartiles, grades, ATS/ERS grades), z-score (FEV .Ht -2 -3 quartiles), Q quartiles) to predict clinical outcomes. Methods People aged ≥40 years with (n=890) who participated in HUNT Study (1995-1997) were followed 5 (short-term) up 20.4 (long-term). Survival analysis time-dependent area under curve (AUC) used abilities. A regression tree approach was applied obtain optimal cut-offs different . The UK Biobank (n=6495) as a replication cohort 5-year follow-up. Results As continuous variable, had highest AUCs all-cause mortality (short-term 70.2, long-term 68.3), respiratory 68.4, 67.7), cardiovascular 63.1, 62.3), hospitalization 71.3, 70.9), pneumonia 67.8, 66.6), by or Generally, similar results observed quartiles. higher compared predicting short-term Similar found Biobank. Conclusions best predicted outcomes could improve severity.