Abstract
Chronic obstructive pulmonary disease (COPD) and the metabolic syndrome (MetS) are considered public health challenges of the 21st century. The coexistence of MetS in COPD patients and any clinical differences between COPD patients with and without MetS have not been extensively studied. We aimed to describe the clinical characteristics of patients with MetS and COPD. An observational, multicenter study of 375 patients hospitalized for a COPD exacerbation with spirometric confirmation was performed. We measured the components of the MetS and collected comorbidity information using the Charlson index and other conditions. Dyspnea, use of steroids, exacerbations, and hospitalizations were also investigated. The overall prevalence of MetS in COPD patients was 42.9 %, was more frequent in women (59.5 %) than men (40.8 %), p = 0.02, but with no differences in age and smoking history. COPD patients with MetS had greater % predicted FEV1, more dyspnea, and more comorbidity and used more inhaled steroids (all p < 0.05). Diabetes, osteoporosis, coronary artery disease, and heart failure were more frequent in patients with MetS. They had been hospitalized more frequently for any cause but not for COPD. In multivariate analysis, the presence of MetS was independently associated with greater FEV1, inhaled steroids use, osteoporosis, diabetes, and heart failure. MetS is a frequent condition in COPD patients, and it is associated with greater FEV1, more dyspnea, and more comorbidities.
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Introduction
Chronic obstructive pulmonary disease (COPD) is a preventable and treatable disease with significant extrapulmonary effects and associated comorbidities that may contribute to its severity in individual patients [1]. In 2005 it was the fourth leading cause of death [2] and is associated with cardiovascular disease [3].
Obesity is one of the greatest public health challenges of the twenty-first century, and its prevalence has tripled in many European countries in the past 30 years [4]. In addition, obesity is responsible for 2–8 % of health costs and 10–13 % of deaths. The metabolic syndrome (MetS) is a complex of interrelated medical disorders that increase the risk of developing type-2 diabetes and cardiovascular disease [5]. Approximately 34 % of American adults older 20 years of age and over [6, 7] and 25–30 % of European adults [8] have MetS. The prevalence increases with age and is strongly correlated with high body mass index [6]. The MetS is associated with an increase of cardiovascular disease and mortality [9, 10]. It has a rising prevalence worldwide that relates to increasing obesity and sedentary lifestyles.
In patients with COPD, the frequencies of obesity and MetS are on average 18 and 47 %, respectively [12]. The MetS is more prevalent in younger patients and in earlier stages of COPD, and it is suggested that these patients may constitute a specific COPD phenotype [12].
The aim of the present study was to determine the relationship between the clinical characteristics and the MetS in COPD patients.
Methods
Study design
ECCO is the acronym in Spanish of “EPOC Con COmorbilidad”, that is, “COPD with comorbidity study”. It is an observational, cross-sectional, multicenter study, participated by 26 hospital centers throughout Spain (see “Appendix”). Detailed features of the study have been reported elsewhere [13, 14]. Each researcher included the patients admitted with a COPD exacerbation that were attended consecutively between January 1, 2007, and December 31, 2008. COPD was diagnosed with spirometry in stable condition, preceding admission, according to GOLD guidelines [1]). All participating patients were GOLD II or higher (predicted FEV1 <80 % and postbronchodilator FEV1/FVC <0.7). The primary objective was to determine the prevalence of MetS in COPD patients, and secondary objectives were to establish the clinical and lung function differences between COPD patients with and without MetS.
Evaluation of MetS
The diagnosis of MetS was established using the following criteria: body mass index >30 kg/m2, fasting glucose ≥100 mg/dL or drug treatment for elevated glucose, systolic ≥130 or diastolic ≥85 mmHg blood pressure or antihypertensive drug treatment in a patient with history of hypertension, triglycerides ≥150 mg/dL or drug treatment for elevated triglycerides, high-density lipoprotein cholesterol (HDL-C) <40 mg/dL in men or <50 mg/dL in women, or drug treatment for reduced HDL-C. The presence of any three of the five criteria constitutes a diagnosis of the MetS [5].
Procedures
A comprehensive questionnaire with demographic and relevant clinical data was administered to patients upon admission, and a detailed physical examination was also undertaken. Data registered included age, gender, smoking history, total number of admissions for COPD or other causes and number of acute COPD exacerbations in the previous 12 months. To assess associated comorbidities we used the Charlson index [15] as well as other conditions not included in this index that are prevalent in COPD [16], namely osteoporosis, anemia, hypertension, dyslipidemia, and alcoholism. Baseline dyspnoea prior to admission was assessed with the modified (5-point) Medical Research Council (mMRC) dyspnoea scale. Body mass index was calculated as weight/height squared, and it was expressed in kg/m2. Fasting venous blood was collected and plasma glucose, HDL-C, and triglycerides were measured.
The study was approved by the Clinical Investigation Ethics Committee of the coordinating center, Hospital de la Vega Baja in Orihuela, Alicante, and all patients signed informed, written consent form.
Statistical analysis
Reported prevalence of MetS in American and European adults is within 20–34 % [6–8]. Assuming a 5 % type I error and a 5 % precision, a sample size of 323 patients was calculated.
Quantitative data are presented as mean ± SD. Comparison of variables between the two groups was performed using the ANOVA test.
Qualitative data are presented as absolute frequencies and percentages. Comparison between two groups was performed using χ 2 and Fisher exact tests. Comparison among three or more groups was performed using χ 2 test for trend.
A logistic regression model was constructed using the variables with statistical significance in the univariate analysis. In all analysis p values <0.05 were considered statistically significant.
Statistical analysis was performed using the software G-Stat 2.0 (www.e-biometria.com).
Results
The flow chart of study participants is presented in Fig. 1. Finally we included 375 patients, 333 men and 42 women, with a mean (SD) age of 73.7 (8.9) years. The characteristics of patients are given in Table 1.
Prevalence of MetS and its components
One hundred and sixty-one (42.9 %) patients had MetS. The prevalence of MetS in COPD patients was more frequent in women (59.5 %) than in men (40.8 %), p = 0.02, but with no differences in age or smoking history, either by current status or in pack-years. Hyperglycemia and high blood pressure were the most frequent components of MetS (Fig. 2). Women met more components of MetS [2.74 (0.96) vs. 2.25 (1.10); p = 0.006] and had more frequent hyperglycemia (92.9 vs. 78.1 %; p = 0.02) than men. In COPD patients with MetS, there was no difference in the number of components by gender.
MetS and lung function
Patients with MetS had less airflow obstruction, either expressed by FEV1 and FEV1/FVC ratio compared with patients without MetS (p < 0.01). They presented less severe GOLD stages, but had more elevated grade of dyspnoea measured with mMRC scale and used more inhaled steroids (Table 1). Further, they had neither more exacerbations in the previous year nor more admissions for COPD, although they were hospitalized more frequently for any cause. Interestingly, there was an inverse association of MetS with greater GOLD COPD severity, the frequencies of MetS being 51.2, 41.8, and 25.5 % in patients with GOLD stages II, III, and IV, respectively (χ 2 for trend p = 0,003). A lower proportion of patients in GOLD stage IV had high blood pressure (Table 2). Patients in more severe GOLD stages significantly used more inhaled steroids (18.9, 22.4, 36.2 % in stages II, III, and IV, respectively, χ 2 for trend p = 0.03) but not more systemic steroids (7.9, 12.4, 12.8 % in stages II, III, and IV, respectively, χ 2 for trend p = 0.22).
In addition, patients treated with inhaled corticosteroids had lower FEV1 than others [40.9 (13.5) vs. 44.1 % (12.0); p = 0.03].
MetS and comorbidities
Patients with MetS had more comorbidities (Table 1). They had a higher Charlson score compared with patients without MetS [2.88 (1.61) vs. 2.45 (1.83), p = 0.02). Diabetes, coronary artery disease, heart failure, and osteoporosis were also more frequently present in COPD patients with MetS (p < 0.05).
Factors associated with the presence of MetS
In a multivariate logistic analysis, the presence of MetS was independently associated with FEV1, inhaled steroids, osteoporosis, diabetes, and heart failure (Table 3).
MetS and mortality
Fifteen (4.0 %) patients died during admission. In-hospital mortality was higher in patients with MetS (5.7 vs. 1.9 %; p = 0.07), but this difference was not statistically significant.
Discussion
The main findings of our study were that more than 40 % of COPD patients had MetS, and although MetS was associated with less impaired lung function and actually it had an inverse association with GOLD COPD severity, these patients had more hospital admissions and burden: they had more osteoporosis and heart failure. In addition, COPD patients with MetS had a less obstructive pattern.
The prevalence of MetS in our study is higher than in previous studies in the general population, but it is similar to others in European elderly populations. Hildrum et al. [8], report a prevalence of MetS of 45 % in men and of 60 % in women aged 70–79 years. The presence of MetS in COPD patients depends both on the study inclusion criteria and the criteria used to diagnose MetS. In Germany, using the International Diabetes Foundation criteria, the prevalence was estimated at 47.5 % [11]; by contrast, in Greece, using the criteria of Adult Treatment Panel III criteria and excluding patients with diabetes, known history of cardiovascular disease and other comorbidities, it was found to be 21 % [12]. Other studies conducted in China and Japan report that 22.6 and 23 % of COPD patients have MetS, respectively [17, 18]. Other studies with smaller populations report prevalences of 28 and 47 % [19, 20]. To label MetS we have used the unified criteria that do not require waist circumference as an obligatory component [5]. To our knowledge, there are no existing reports that have used these criteria. This could explain why the prevalence we find is higher than the one in other studies.
Metabolic syndrome (MetS) tends to be less frequent in patients with very severe COPD. This initially surprising finding is in line with other reports. The frequencies of the MetS in patients with GOLD stages II, III, and IV are 53, 37, and 44 %, respectively, in the study of Watz et al. [11]. In the study of Marquis et al. [12] the overall frequency of MetS in patients with COPD is 21 %, and the frequency decreases to about 10 % at GOLD stages III and IV. The weight loss that frequently occurs in patients who are in the more severe stages of COPD may be the cause of these observations. As in heart failure, we think that the obesity paradox is present in COPD patients, that is, the greater FEV1 values were found in COPD with MetS.
In contrast with the general population findings, hyperglycemia is the component of MetS more frequently observed in COPD patients. This finding can be explained because all our patients were in moderate or higher GOLD stages of COPD, and the use of steroids is high in these patients. In the study of Watz et al. [11], the use of both inhaled and systemic steroids is higher in patients in GOLD stages III and IV without increase of presence of MetS. Also elevated blood pressure was a frequent component in our patients (70 %) as it was reported in other studies [11].
An interesting observation was that patients with MetS had less impaired predicted FEV1 and more dyspnoea compared with those without MetS. This is consistent with the findings of recent studies in overweight and obese patients with COPD [21]. We think that the presence of comorbidities, particularly heart failure, could partly explain this observation. Further, osteoporosis can modify respiratory mechanics and contribute to more breathlessness. More and more severe comorbidities also could explain why COPD patients with MetS have more hospitalizations by any cause without an increase neither of admissions for COPD nor of exacerbations in the previous year. This observation is consistent with recent reports on subtypes of COPD [22]. But contrary to this finding, a prospective study with 106 patients observes that the presence of MetS is associated with an increase of acute exacerbations of COPD [23].
In a multivariate analysis, greater FEV1 and comorbidities were independently associated with MetS. As stated previously, weight loss associated with severity of COPD could explain the association between MetS and greater spirometric values. Osteoporosis and heart failure are conditions that limit the capacity for physical activity and lead to sedentary life styles. These factors predispose to weight gain and, therefore, contribute to having MetS. In addition, physical inactivity increases the levels of inflammatory biomarkers as CRP and interleukin-6, which are high in obese individuals [24, 25].
Recent studies in older patients observe that the association of MetS with bone mineral density is reversed after adjusting for BMI such that MetS is associated with lower bone mineral density [26]. This could explain the association of MetS and osteoporosis that we observed, and that is not in line with previous reports that demonstrate a close relationship between low BMI and osteoporosis in COPD.
To our knowledge this is the first study of MetS in COPD patients with any mortality data. We have observed that mortality during admission was 5.7 % in patients with MetS and 1.9 % in patients without MetS. The difference is clinically relevant but not statistically significant. Our study was not powered to find this difference, but it might be interesting if new short- and long-term studies evaluate mortality in COPD patients with MetS.
Our study has some limitations. First, it is a cross-sectional analysis of patients admitted to Internal Medicine departments. In Spain 37–53 % of COPD patients are admitted to these departments [27, 28]. They are older and have more comorbidities than those admitted to Pulmonology departments [27]. However, the observed prevalence of MetS is similar to those reported in studies conducted in Pulmonology or Rehabilitation departments [11, 20]. Second, about 90 % our patients are men. The small number of women included is similar to that of other studies performed in Spain, where women were exposed to active smoking only after the 1960s. Third, patients recruited had an acute exacerbation. It is possible that patients with MetS have more or less frequent acute exacerbations, and this element could produce some bias in the data. Fourth, we have used the body mass index to diagnose obesity instead of waist circumference. Our patients were recruited during admission for an acute exacerbation of COPD and the variables were collected when the patients were in a clinically stable situation. However, it is known that waist circumferences vary by posture, site of measure, respiratory phase, and time since last meal [29]. To avoid this variability and to increase the accuracy of measure we decided to use the body mass index although it could influence the observed prevalence of abdominal obesity and MetS.
Finally, we suggest that perhaps COPD, MetS, heart failure, and osteoporosis constitute a cluster of diseases that define a disease in some association with physical inactivity and systemic inflammation [30–34].
In summary, our study concludes that MetS is frequent in COPD patients and not only associated with greater FEV1 and milder GOLD COPD severity, but also with more elevated degree of dyspnea and more comorbidities.
References
Global Initiative for Chronic Obstructive Lung Disease (GOLD) (2011) Global strategy for the diagnosis, management, and prevention of chronic obstructive pulmonary disease (updated 2011). Available from: http://www.goldcopd.com
World Health Organization. World Health Statistics 2008. Part 1. Ten highlights in health statistics. Available from: http://www.who.int/whosis/whostat/EN_WHS08_Part1.pdf
Finkelstein J, Cha E, Scharf SM (2009) Chronic obstructive pulmonary disease as an independent risk factor for cardiovascular morbidity. Int J Chron Obstruct Pulmon Dis 4:337–349
World Health Organization. Regional Office for Europe. Obesity. Available from: http://www.euro.who.int/en/what-we-do/health-topics/noncommunicable-diseases/obesity
Alberti KGMM, Eckel RH, Grundy SM et al (2009) Harmonizing the metabolic syndrome. A joint interim statement of the International Diabetes Federation task force on epidemiology and prevention; National Heart, Lung and Blood Institute; American Heart Association; World Heart Federation; International Atherosclerosis Society; and International Association for the Study of Obesity. Circulation 120:1640–1645
Ervin RB (2009) Prevalence of metabolic syndrome among adult 20 years of age or over, by sex, age, race, and ethnicity, and body mass index: United States 2003–2006. Natl Health Stat Rep 13:1–7
Ford ES (2005) Prevalence of the metabolic syndrome defined by the International Diabetes Federation among adult in the U.S. Diabetes Care 28:2745–2749
Hildrum B, Mykletun A, Hole T et al (2007) Age-specific prevalence of the metabolic syndrome defined by the International Diabetes Federation and the national Cholesterol Education Program: the Norwegian HUNT 2 study. BMC Public Health 7:220
Galassi A, Reynolds K, He J (2006) Metabolic syndrome and risk of cardiovascular disease: a meta-analysis. Am J Med 119:812–819
Hu G, Qiao Q, Tuomilehto J, for the DECODE Study Group et al (2004) Prevalence oh the metabolic syndrome and its relation to all-cause and cardiovascular mortality in nondiabetic European men and women. Arch Intern Med 164:1066–1076
Watz H, Waschki B, Kirsten A et al (2009) The metabolic syndrome in patients with chronic bronchitis and COPD. Frequency and associated consequences for systemic inflammation and physical inactivity. Chest 136:1039–1046
Minas M, Kostikas K, Papaioannou AI et al (2011) The association of metabolic syndrome with adipose tissue hormones and insulin resistance in patients with COPD without co-morbidities. COPD 8:414–420
Almagro P, López García F, Cabrera FJ, grupo EPOC de la Sociedad Española de Medicina Interna et al (2010) Comorbidity and gender-related differences in patients hospitalized for COPD. The ECCO study. Respiration 104:253–259
Almagro P, López García F, Cabrera FJ, Grupo EPOC de la Sociedad Española de Medicina Interna et al (2010) Study of the comorbidities in hospitalized patients due to decompensated chronic obstructive pulmonary disease attended in the Internal Medicine Services. ECCO Study. Rev Clin Esp 210:101–108
Charlson ME, Pompei P, Ales KL et al (1987) A new method of classifying prognostic comorbidity in longitudinal studies. J Chronic Dis 40:373–383
Chatila WM, Thomashow BM, Minai OA et al (2008) Comorbidities in chronic obstructive pulmonary disease. Proc Am Thorac Soc 5:549–555
Lam KBH, Jordan RE, Jiang CQ et al (2010) Airflow obstruction and metabolic syndrome: the Guangzhou Biobank Cohort Study. Eur Respir J 35:317–323
Funakoshi Y, Omori H, Mihara S et al (2010) Association between airflow obstruction and the metabolic syndrome and its components in Japanese men. Intern Med 49:2093–2099
Poulain M, Doucet M, Fournier G et al (2008) Metabolic and inflammatory profile in obese patients with chronic obstructive pulmonary disease. Chron Respir Dis 5:35–41
Marquis C, Maltais F, Duguay V et al (2005) The metabolic syndrome in patients with chronic obstructive pulmonary disease. J Cardiopulm Rehabil 25:226–232
Cecere LM, Littman AJ, Slatore CG et al (2001) Obesity and COPD: associated symptoms, health-related quality of life and medication use. COPD 8:275–284
García-Aymerich J, Gómez FP, Benet M, Farrero E, Basagaña X, Gayete A et al (2011) Identification and perspective validation of clinically relevant chronic obstructive pulmonary disease (COPD) subtypes. Thorax 66:430–437
Küpeli E, Ulubay G, Ulasli SS et al (2010) Metabolic syndrome is associated with increased risk of acute exacerbation of COPD: a preliminary study. Endocrine 38:76–82
Visser M, Bouter LM, McQuillan GM, Wener MH, Harris TB (1999) Elevated C-reactive protein levels in overweight and obese adults. JAMA 282:2131–2135
Yudkin JS, Stehouwer CDA, Emeis JJ, Coppack SW (1999) C-reactive protein in healthy subjects: associations with obesity, insulin resistance, and endothelial dysfunction. A potential role for cytokines originating from adipose tissue? Artherioscler Thromb Vasc Biol 19:972–978
Von Muhlen D, Safii S, Jassal SK, Svartberg J, Barrett-Connor F (2007) Associations between the metabolic syndrome and bone health in older men and women: the Rancho Bernardo Study. Osteopor Int 18:1337–1344
San Roman Teran C, Guijarro Merino R, Gomez Huelgas R, Montero L (2007) Epidemiologia hospitalaria de la EPOC en Espana. Rev Clin Esp 207(Suppl 1):3–7
Pozo-Rodriguez F, Alvarez CJ, Castro-Acosta A, Melero Moreno M, Capelastegui A, Esteban C et al (2010) Clinical audit of patients admitted to hospital in Spain due to exacerbation of COPD (AUDIPOC Study): method and organization. Arch Bronconeumol 46:340–457
Agarwal SK, Misra A, Aggarwal P et al (2009) Waist circumference measurement by site, posture, respiratory phase, and meal time: implications for methodology. Obesity 17:1056–1061
Agustí A, Edwards LD, Rennard SI, MacNee W, Tal-Singer R, Miller BE et al (2012) Persistent systemic inflammation is associated with poor clinical outcomes in COPD: a novel phenotype. PLoS ONE 7(5):e37483
Fabbri LM, Beghe B, Agustí A (2012) COPD and the solar system. Introducing the chronic obstructive pulmonary disease comorbidome. Am J Respir Crit Care Med 186:117–119
Pedersen BK (2009) The diseasome of physical inactivity—and the role of moykines in uscle-fat cross talk. J Physiol 587:5559–5568
Clini E, Crisafulli E, Radaeli A, Malerba M (2011) COPD and the metabolic syndrome: an intriguing association. Int Emerg Med 2011 Oct 2 [Epub ahead of print]
Malerba M, Romanelli G (2009) Early cardiovascular involvement in chronic obstructive pulmonary disease. Monaldi Arch Chest Dis 71:59–65
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Appendix
Appendix
Investigators of the ECCO Study, Working Group on COPD of the Spanish Society of Internal Medicine: Santiago Mola Caballero de Rodas, Francisco López García, Jose Antonio Carratalá Torregrosa, Gemma Penadés Cervera, Juan Custardoy Olavarrieta (Hospital Vega Baja-Orihuela, Alicante); Alberto Muela Molinero, Juan Carlos Borrego Galán, (Hospital General de León); Rocío Llanos Llanos, María del Carmen García Orenes (Hospital Morales Meseguer, Murcia); Juan Manuel Quiroga Iturralde, Gabriel Zubillaga Garmendia, Elena Zubillaga Azpiroz (Hospital de Donostia, San Sebastián); Mario Fernández Ruiz (Hospital General Universitario 12 de Octubre, Madrid); Jesús Recio Iglesias (Hospital General Universitario Vall d’Hebron, Barcelona); María del Carmen Martínez Velasco (Hospital San Juan de Dios, Pamplona); María Paz Pérez Gutiérrez (Hospital Clínico Universitario, Valladolid); Francisco Javier Cabrera Aguilar, Pablo Ryan Murua (Hospital General Universitario Gregorio Marañón, Madrid), Juan Antonio Oriz Minuesa, Manuel Montero Pérez-Barquero (Hospital General Universitario Reina Sofía, Córdoba); Jesús Castiella Herrero, Francisco José Sanjuan Portugal (Fundación Hospital Calahorra, La Rioja); Juan Lucio Ramos Salado, José Barquero Romero (Complejo Universitario Infanta Cristina, Badajoz); Fernando Javier Sánchez Lora (Hospital de Antequera, Málaga); Angel Hortal Tavira (Hospital Virgen de Las Nieves, Granada); Jerónimo Nieto López Guerrero (Hospital de Cantoblanco, Madrid); María Cruz Almendros Rivas (Hospital de Palamos, Madrid); Fernando de la Iglesia Martinez (Hospital Juan Canalejo, A Coruña); Carlos Dueñas Gutiérrez (Hospital General Yagüe, Burgos); José Luis Lozano Polo (Hospital General Marqués de Valdecilla, Santander); Dámaso Escribano Sevillano (Hospital de Jove, Gijón); Luis Quiroga Prado (Hospital de León); Carmen Mella Pérez (Hospital Vilagarcia de Arousa, Pontevedra); Ramón Cigüenza Gabriel (Hospital Clínico San Carlos, Madrid); José Portillo Sánchez (Hospital General de Ciudad Real); Ramon Boixeda i Viu (Hospital de Mataró, Barcelona); Lorena Montero Rivas, Carlos M San Román Terán (Hospital Comarcal Axarquía. Vélez Málaga, Málaga); Joan Carles Trullas Vila (Hospital San Jaume Olot, Gerona); Bernardino Roca Villanueva (Hospital General de Castellón); Julio Montes Santiago (Hospital Do Meixoeiro, Vigo); José Manuel Varela (Hospital Virgen del Rocío, Sevilla); David Morchón, Juan Carlos Martín Escudero (Hospital Universitario Rio Hortega, Valladolid); Jesús Díez Manglano (Hospital Royo Villanova, Zaragoza); Elena Güell i Farré (Consorci Sanitari Integral, Barcelona); Olga Araújo Loperena (Hospital Xarxa Tecla, Tarragona); Nuria Galofré Alvaro (Hospital de Badalona); Beatriz Sobrino Diaz (Hospital General Universitario Carlos Haya, Málaga); Ana Belen Mecina Gutiérrez, María del Carmen Romero Pérez (Hospital de Leganés, Madrid); Patricia Crecente Otero, Laura Madrigal Cortés, Rubén Díez Bandera, Verónica Alvarez Alamo (Hospital Clínico Universitario, Salamanca); PedroAlmagro Mena (Hospital Mutua de Terrassa, Barcelona); Pablo Espejo Salamanca (Fundación Hospital de Manacor, Mallorca); Vicente Giner Galvan (Hospital de Alcoy, Alicante); Rafael Castillo Rubio (Hospital La Malvarrosa, Valencia).
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Díez-Manglano, J., Barquero-Romero, J., Almagro, P. et al. COPD patients with and without metabolic syndrome: clinical and functional differences. Intern Emerg Med 9, 419–425 (2014). https://doi.org/10.1007/s11739-013-0945-7
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DOI: https://doi.org/10.1007/s11739-013-0945-7