Validation of Clinical COPD Phenotypes for Prognosis of Long-Term Mortality in Swedish and Dutch Cohorts. Issue 1 (31st December 2022)

• Record Type: Journal Article
• Authors: Gagatek, S.; Wijnant, S. R. A.; Ställberg, B.; Lisspers, K.; Brusselle, G.; Zhou, X.; Hasselgren, M.; Montgomeryi, S.; Sundhj, J.; Janson, C.; Emilsson, Ö.; Lahousse, L.; Malinovschi, A.
• Is Part Of: COPD. Volume 19:Issue 1(2022)
• Page Start: 330
• Page End: 338
• Publication Date: 2022-12-31
• Subjects: COPD -- phenotypes -- mortality -- comorbidities -- epidemiology; Lungs -- Diseases, Obstructive -- Periodicals; 616.24
• DOI: 10.1080/15412555.2022.2039608
• Languages: English
• ISSNs: 1541-2555

Abstract

Abstract: Chronic obstructive pulmonary disease (COPD) is a heterogeneous disease with variable mortality risk. The aim of our investigation was to validate a simple clinical algorithm for long-term mortality previously proposed by Burgel et al. in 2017. Subjects with COPD from two cohorts, the Swedish PRAXIS study ( n = 784, mean age (standard deviation (SD)) 64.0 years (7.5), 42% males) and the Rotterdam Study ( n = 735, mean age (SD) 72 years (9.2), 57% males), were included. Five clinical clusters were derived from baseline data on age, body mass index, dyspnoea grade, pulmonary function and comorbidity (cardiovascular disease/diabetes). Cox models were used to study associations with 9-year mortality. The distribution of clinical clusters (1–5) was 29%/45%/8%/6%/12% in the PRAXIS study and 23%/26%/36%/0%/15% in the Rotterdam Study. The cumulative proportion of deaths at the 9-year follow-up was highest in clusters 1 (65%) and 4 (72%), and lowest in cluster 5 (10%) in the PRAXIS study. In the Rotterdam Study, cluster 1 (44%) had the highest cumulative mortality and cluster 5 (5%) the lowest. Compared with cluster 5, the meta-analysed age- and sex-adjusted hazard ratio (95% confidence interval) for cluster 1 was 6.37 (3.94–10.32) and those for clusters 2 and 3 were 2.61 (1.58–4.32) and 3.06 (1.82–5.13), respectively. Burgel's clinical clusters can be used to predict long-term mortality risk. Clusters 1 and 4 are associated with the poorest prognosis, cluster 5 with the best prognosis and clusters 2 and 3 with intermediate prognosis in two independent cohorts from Sweden and the Netherlands.