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Cardiovascular risk prediction using physical performance measures in COPD: results from a multicentre observational study.
Fermont, Jilles M; Fisk, Marie; Bolton, Charlotte E; MacNee, William; Cockcroft, John R; Fuld, Jonathan; Cheriyan, Joseph; Mohan, Divya; Mäki-Petäjä, Kaisa M; Al-Hadithi, Ali B; Tal-Singer, Ruth; Müllerova, Hana; Polkey, Michael I; Wood, Angela M; McEniery, Carmel M; Wilkinson, Ian B.
Afiliación
  • Fermont JM; Division of Experimental Medicine and Immunotherapeutics, Department of Medicine, University of Cambridge, Cambridge, UK jmf88@medschl.cam.ac.uk.
  • Fisk M; British Heart Foundation Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK.
  • Bolton CE; Division of Experimental Medicine and Immunotherapeutics, Department of Medicine, University of Cambridge, Cambridge, UK.
  • MacNee W; Division of Respiratory Medicine and NIHR Nottingham BRC respiratory theme, University of Nottingham, Nottingham, UK.
  • Cockcroft JR; Centre for Inflammation Research, Queen's Medical Research Institute, The University of Edinburgh, Edinburgh, UK.
  • Fuld J; Department of Cardiology, Columbia University Medical Center, New York City, New York, USA.
  • Cheriyan J; Department of Respiratory Medicine, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK.
  • Mohan D; Division of Experimental Medicine and Immunotherapeutics, Department of Medicine, University of Cambridge, Cambridge, UK.
  • Mäki-Petäjä KM; Medical Innovation, Value Evidence Outcomes, GSK R&D, Philadelphia, Pennsylvania, USA.
  • Al-Hadithi AB; Division of Experimental Medicine and Immunotherapeutics, Department of Medicine, University of Cambridge, Cambridge, UK.
  • Tal-Singer R; Division of Experimental Medicine and Immunotherapeutics, Department of Medicine, University of Cambridge, Cambridge, UK.
  • Müllerova H; Medical Innovation, Value Evidence Outcomes, GSK R&D, Philadelphia, Pennsylvania, USA.
  • Polkey MI; GSK R&D, Uxbridge, UK.
  • Wood AM; Department of Respiratory Medicine, Royal Brompton Hospital, London, UK.
  • McEniery CM; British Heart Foundation Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK.
  • Wilkinson IB; British Heart Foundation Centre of Research Excellence, University of Cambridge, Cambridge, UK.
BMJ Open ; 10(12): e038360, 2020 12 28.
Article en En | MEDLINE | ID: mdl-33372069
ABSTRACT

OBJECTIVES:

Although cardiovascular disease (CVD) is a common comorbidity associated with chronic obstructive pulmonary disease (COPD), it is unknown how to improve prediction of cardiovascular (CV) risk in individuals with COPD. Traditional CV risk scores have been tested in different populations but not uniquely in COPD. The potential of alternative markers to improve CV risk prediction in individuals with COPD is unknown. We aimed to determine the predictive value of conventional CVD risk factors in COPD and to determine if additional markers improve prediction beyond conventional factors.

DESIGN:

Data from the Evaluation of the Role of Inflammation in Chronic Airways disease cohort, which enrolled 729 individuals with Global Initiative for Chronic Obstructive Lung Disease (GOLD) stage II-IV COPD were used. Linked hospital episode statistics and survival data were prospectively collected for a median 4.6 years of follow-up.

SETTING:

Five UK centres interested in COPD.

PARTICIPANTS:

Population-based sample including 714 individuals with spirometry-defined COPD, smoked at least 10 pack years and who were clinically stable for >4 weeks.

INTERVENTIONS:

Baseline measurements included aortic pulse wave velocity (aPWV), carotid intima-media thickness (CIMT), C reactive protein (CRP), fibrinogen, spirometry and Body mass index, airflow Obstruction, Dyspnoea and Exercise capacity (BODE) Index, 6 min walk test (6MWT) and 4 m gait speed (4MGS) test. PRIMARY AND SECONDARY OUTCOME

MEASURES:

New occurrence (first event) of fatal or non-fatal hospitalised CVD, and all-cause and cause-specific mortality.

RESULTS:

Out of 714 participants, 192 (27%) had CV hospitalisation and 6 died due to CVD. The overall CV risk model C-statistic was 0.689 (95% CI 0.688 to 0.691). aPWV and CIMT neither had an association with study outcome nor improved model prediction. CRP, fibrinogen, GOLD stage, BODE Index, 4MGS and 6MWT were associated with the outcome, independently of conventional risk factors (p<0.05 for all). However, only 6MWT improved model discrimination (C=0.727, 95% CI 0.726 to 0.728).

CONCLUSION:

Poor physical performance defined by the 6MWT improves prediction of CV hospitalisation in individuals with COPD. TRIAL REGISTRATION NUMBER ID 11101.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Enfermedades Cardiovasculares / Enfermedad Pulmonar Obstructiva Crónica Tipo de estudio: Clinical_trials / Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: BMJ Open Año: 2020 Tipo del documento: Article País de afiliación: Reino Unido

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Enfermedades Cardiovasculares / Enfermedad Pulmonar Obstructiva Crónica Tipo de estudio: Clinical_trials / Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: BMJ Open Año: 2020 Tipo del documento: Article País de afiliación: Reino Unido