Chest
Original Research: COPDObesity Is Associated With Increased Morbidity in Moderate to Severe COPD
Section snippets
Study Population
The COPDGene study details have been reported.30 Briefly, the COPDGene study is a multicenter observational study including current and former smokers designed to identify genetic factors associated with COPD. Between January 2008 and April 2011, 10,192 non-Hispanic White (NHW) and black adults aged 45 to 80 years of age with a minimum 10 pack-year smoking history were enrolled. Participants were phenotyped by completing questionnaires, blood tests, imaging, and spirometry measurements. This
Participant Characteristics
Demographic and clinical characteristics are presented in Table 1, stratified by obesity class. Overall, 34% of participants were obese, with 21% in class I, 9% in class II, and 5% in class III. Age, sex, race, education, and smoking pack-years were similar across weight categories. Active tobacco use (current smoking) was most prevalent among the normal/overweight individuals (43%) and those with class III obesity (40%). Absolute and percent predicted FEV1, and the FEV1 to FVC ratio, were
Discussion
In this large, well-characterized cohort of individuals with COPD and GOLD stages 2 through 4 severity of airflow obstruction, obesity was prevalent, affecting approximately one-third of the population. Increasing severity of obesity was associated with worse COPD morbidity. We show that obesity is not only linked to subjective outcomes, such as worse QOL and dyspnea, but also to increased risk of severe AECOPD. The link between obesity and exacerbations may be partly explained by increased
Conclusions
Comorbid obesity and COPD is prevalent, and increasing obesity is associated with increased comorbidity, reduced QOL, impaired functional status, and increased risk for severe AECOPD. Importantly, even class I obesity adversely impacted COPD outcomes, with increasing severity of obesity associated with greater magnitude of deficits in a dose-dependent fashion. Patients with COPD should be assessed for comorbid obesity and closely monitored for COPD outcomes. Determination of the impact of
Acknowledgments
Author contributions: A. A. L. had full access to all of the data in the study and takes responsibility for the integrity of the data and the accuracy of the data analysis. A. A. L., N. P., M. C. M., and N. N. H. contributed to the analysis plan, interpretation, and writing and editing of the report. M. B. D., A. M. B., N. A. H., V. K., G. L. K., M.-L. N. M., E. P. B., and R. A. W. contributed to the data interpretation and writing and editing of the report.
Financial/nonfinancial disclosures:
References (65)
- et al.
COPD as a multicomponent disease: inventory of dyspnoea, underweight, obesity and fat free mass depletion in primary care
Prim Care Respir J
(2006) - et al.
Chronic obstructive pulmonary disease and body mass index in five Latin America cities: the PLATINO study
Respir Med
(2008) - et al.
Effects of BMI on static lung volumes in patients with airway obstruction
Chest
(2011) - et al.
Both generic and disease specific health-related quality of life are deteriorated in patients with underweight COPD
Respir Med
(2005) - et al.
The obesity paradox: methodological considerations based on epidemiological and clinical evidence–new insights
Maturitas
(2012) Pulmonary complications of obesity
Am J Med Sci
(2001)- et al.
Body composition in Asians and Caucasians: comparative analyses and influences on cardiometabolic outcomes
Adv Food Nutr Res
(2015) - et al.
The St George's Respiratory Questionnaire
Respir Med
(1991) - et al.
American translation, modification, and validation of the St. George's Respiratory Questionnaire
Clin Ther
(2000) - et al.
A qualitative systematic overview of the measurement properties of functional walk tests used in the cardiorespiratory domain
Chest
(2001)
GOLD 2011 disease severity classification in COPDGene: a prospective cohort study
Lancet Respir Med
Differences between absolute and predicted values of forced expiratory volumes to classify ventilatory impairment in chronic obstructive pulmonary disease
Respir Med
Determinants of exercise capacity in obese and non-obese COPD patients
Respir Med
Gender and COPD in patients attending a pulmonary clinic
Chest
Anxiety and depression in COPD patients: the roles of gender and disease severity
Respir Med
Gender differences in the adipose secretome system in chronic obstructive pulmonary disease (COPD): a pivotal role of leptin
Respir Med
Leptin as local inflammatory marker in COPD
Respir Med
Chronic obstructive pulmonary disease among adults–United States, 2011
MMWR Morb Mortal Wkly Rep
Heart disease and stroke statistics–2015 update: a report from the American Heart Association
Circulation
Prevalence of obesity and trends in the distribution of body mass index among US adults, 1999-2010
JAMA
Prevalence and trends in obesity among US adults, 1999-2008
JAMA
Body composition and functional limitation in COPD
Respir Res
Prevalence, risk factors, activity limitation and health care utilization of an obese, population-based sample with chronic obstructive pulmonary disease
Can Respir J
Possible mechanisms underlying the development of cachexia in COPD
Eur Respir J
Body mass index and prognosis in patients hospitalized with acute exacerbation of chronic obstructive pulmonary disease
J Cachexia Sarcopenia Muscle
Weight loss is a reversible factor in the prognosis of chronic obstructive pulmonary disease
Am J Respir Crit Care Med
Prognostic value of nutritional status in chronic obstructive pulmonary disease
Am J Respir Crit Care Med
Prognostic value of weight change in chronic obstructive pulmonary disease: results from the Copenhagen City Heart Study
Eur Respir J
Changes in body composition in patients with chronic obstructive pulmonary disease: Do they influence patient-related outcomes?
Ann Nutr Metab
When obesity and chronic obstructive pulmonary disease collide: physiological and clinical consequences
Ann Am Thorac Soc
Obesity and the lung: 5. Obesity and COPD
Thorax
Obesity and the lung: 1. Epidemiology
Thorax
Cited by (0)
FUNDING/SUPPORT: This study was funded by the National Institutes of Health Genetic Epidemiology of COPD [Grant R01 HL089856] to Dr Silverman (PI) and [Grant R01 HL089897] to Dr Crapo (PI); the National Institutes of Health [Grant KL2 TR001077] to A. A. L., [Grant K23 HL123594] to N. P., [Grant K23 HL094696] to V. K., [Grants P50MD010431 and R01ES022607] to N. N. H. and M. C. M., and [Grant R01ES023500] to N. N. H.; the National Institutes of Health, National Heart, Lung, and Blood Institute [Grant 1K99HL121087-01A1] to M.-L. N. M.; the National Institutes of Health, National Center for Advancing Translational Sciences [Grant 4KL2TR001077-04] to E. P. B.; and the Environmental Protection Agency [Grant RD-83615001] to N. N. H. and M. C. M.