Disease-Specific Comorbidity Clusters in COPD and Accelerated Aging

Overview

Journal J Clin Med

Specialty General Medicine

Date 2019 Apr 25

PMID 31013986

Citations 25

Authors

Filip J J Triest

Frits M E Franssen

Niki Reynaert

Swetlana Gaffron

Martijn A Spruit

Daisy J A Janssen

Erica P A Rutten

Emiel F M Wouters

Lowie E G W Vanfleteren

Affiliations

Soon will be listed here.

Abstract

Background: Patients with chronic obstructive pulmonary disease (COPD) often suffer from multiple morbidities, which occur in clusters and are sometimes related to accelerated aging. This study aimed to assess the disease specificity of comorbidity clusters in COPD and their association with a biomarker of accelerated aging as a potential mechanistic factor.

Methods: Body composition, metabolic, cardiovascular, musculoskeletal, and psychological morbidities were objectively evaluated in 208 COPD patients (age 62 ± 7 years, 58% males, FEV 50 ± 16% predicted) and 200 non-COPD controls (age 61 ± 7 years, 45% males). Based on their presence and severity, the morbidities were clustered to generate distinct clusters in COPD and controls. Telomere length in circulating leukocytes was compared across the clusters.

Results: (co)morbidities were more prevalent in COPD patients compared to controls (3.9 ± 1.7 vs. 2.4 ± 1.5, < 0.05). A "Psychologic" and "Cachectic" cluster were only present in the COPD population. "Less (co)morbidity", "Cardiovascular", and "Metabolic" clusters were also observed in controls, although with less complexity. Telomere length was reduced in COPD patients, but did not differ between the (co)morbidity clusters in both populations.

Conclusions: Two COPD-specific comorbidity clusters, a "Cachectic" and "Psychologic" cluster, were identified and warrant further studies regarding their development. Accelerated aging was present across various multimorbidity clusters in COPD.

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References

Bonora E, Targher G, Alberiche M, Bonadonna R, Saggiani F, Zenere M . Homeostasis model assessment closely mirrors the glucose clamp technique in the assessment of insulin sensitivity: studies in subjects with various degrees of glucose tolerance and insulin sensitivity. Diabetes Care. 2000; 23(1):57-63. DOI: 10.2337/diacare.23.1.57. View

Benetos A, Okuda K, Lajemi M, Kimura M, Thomas F, Skurnick J . Telomere length as an indicator of biological aging: the gender effect and relation with pulse pressure and pulse wave velocity. Hypertension. 2001; 37(2 Pt 2):381-5. DOI: 10.1161/01.hyp.37.2.381. View

Harik-Khan R, Fleg J, Wise R . Body mass index and the risk of COPD. Chest. 2002; 121(2):370-6. DOI: 10.1378/chest.121.2.370. View

Bonora E, Formentini G, Calcaterra F, Lombardi S, Marini F, Zenari L . HOMA-estimated insulin resistance is an independent predictor of cardiovascular disease in type 2 diabetic subjects: prospective data from the Verona Diabetes Complications Study. Diabetes Care. 2002; 25(7):1135-41. DOI: 10.2337/diacare.25.7.1135. View

Balkau B, Charles M, Drivsholm T, Borch-Johnsen K, Wareham N, Yudkin J . Frequency of the WHO metabolic syndrome in European cohorts, and an alternative definition of an insulin resistance syndrome. Diabetes Metab. 2002; 28(5):364-76. View

Fletcher C, ELMES P, FAIRBAIRN A, Wood C . The significance of respiratory symptoms and the diagnosis of chronic bronchitis in a working population. Br Med J. 1959; 2(5147):257-66. PMC: 1990153. DOI: 10.1136/bmj.2.5147.257. View

. Appropriate body-mass index for Asian populations and its implications for policy and intervention strategies. Lancet. 2004; 363(9403):157-63. DOI: 10.1016/S0140-6736(03)15268-3. View

Celli B, Cote C, Marin J, Casanova C, Montes de Oca M, Mendez R . The body-mass index, airflow obstruction, dyspnea, and exercise capacity index in chronic obstructive pulmonary disease. N Engl J Med. 2004; 350(10):1005-12. DOI: 10.1056/NEJMoa021322. View

Agusti A . COPD, a multicomponent disease: implications for management. Respir Med. 2005; 99(6):670-82. DOI: 10.1016/j.rmed.2004.11.006. View

10.

Jones P, Quirk F, Baveystock C, Littlejohns P . A self-complete measure of health status for chronic airflow limitation. The St. George's Respiratory Questionnaire. Am Rev Respir Dis. 1992; 145(6):1321-7. DOI: 10.1164/ajrccm/145.6.1321. View

11.

Dekker J, Girman C, Rhodes T, Nijpels G, Stehouwer C, Bouter L . Metabolic syndrome and 10-year cardiovascular disease risk in the Hoorn Study. Circulation. 2005; 112(5):666-73. DOI: 10.1161/CIRCULATIONAHA.104.516948. View

12.

Alberti K, Zimmet P, Shaw J . The metabolic syndrome--a new worldwide definition. Lancet. 2005; 366(9491):1059-62. DOI: 10.1016/S0140-6736(05)67402-8. View

13.

Vestbo J, Prescott E, Almdal T, Dahl M, Nordestgaard B, Andersen T . Body mass, fat-free body mass, and prognosis in patients with chronic obstructive pulmonary disease from a random population sample: findings from the Copenhagen City Heart Study. Am J Respir Crit Care Med. 2005; 173(1):79-83. DOI: 10.1164/rccm.200506-969OC. View

14.

Tsuji T, Aoshiba K, Nagai A . Alveolar cell senescence in patients with pulmonary emphysema. Am J Respir Crit Care Med. 2006; 174(8):886-93. DOI: 10.1164/rccm.200509-1374OC. View

15.

. KDOQI Clinical Practice Guidelines and Clinical Practice Recommendations for Diabetes and Chronic Kidney Disease. Am J Kidney Dis. 2007; 49(2 Suppl 2):S12-154. DOI: 10.1053/j.ajkd.2006.12.005. View

16.

Sabit R, Bolton C, Edwards P, Pettit R, Evans W, Mceniery C . Arterial stiffness and osteoporosis in chronic obstructive pulmonary disease. Am J Respir Crit Care Med. 2007; 175(12):1259-65. DOI: 10.1164/rccm.200701-067OC. View

17.

Mancia G, De Backer G, Dominiczak A, Cifkova R, Fagard R, Germano G . 2007 Guidelines for the Management of Arterial Hypertension: The Task Force for the Management of Arterial Hypertension of the European Society of Hypertension (ESH) and of the European Society of Cardiology (ESC). J Hypertens. 2007; 25(6):1105-87. DOI: 10.1097/HJH.0b013e3281fc975a. View

18.

McAllister D, Maclay J, Mills N, Mair G, Miller J, Anderson D . Arterial stiffness is independently associated with emphysema severity in patients with chronic obstructive pulmonary disease. Am J Respir Crit Care Med. 2007; 176(12):1208-14. PMC: 2176105. DOI: 10.1164/rccm.200707-1080OC. View

19.

DAgostino Sr R, Vasan R, Pencina M, Wolf P, Cobain M, Massaro J . General cardiovascular risk profile for use in primary care: the Framingham Heart Study. Circulation. 2008; 117(6):743-53. DOI: 10.1161/CIRCULATIONAHA.107.699579. View

20.

Rossi A, Brands P, Hoeks A . Automatic recognition of the common carotid artery in longitudinal ultrasound B-mode scans. Med Image Anal. 2008; 12(6):653-65. DOI: 10.1016/j.media.2008.03.003. View