Comparative analysis of the dynamics of clinical and functional features of the metabolic syndrome in COPD patients who had a novel coronavirus infection
https://doi.org/10.31549/2542-1174-2023-7-1-132-148
Abstract
Introduction. To date, it has been established that risk factors for the development of a novel coronavirus infection (NCI), in addition to advanced age and chronic obstructive pulmonary disease (COPD), are metabolic diseases such as obesity, diabetes mellitus, arterial hypertension (AH), non-alcoholic fatty liver disease (NAFLD), united by the notion of “metabolic syndrome” (MS). At the same time, NCI contributes to the onset and aggravation of the clinical manifestations of MS. Similar to the restoration of respiratory function in subjects who had NCI, it seems relevant to analyze the disorders of carbohydrate and lipid metabolism in the long-term period after acute NCI in COPD patients.
Aim. To study in a comparative aspect the dynamics of clinical and functional characteristics of the metabolic syndrome in COPD patients who had NCI.
Materials and methods. We observed for 12 months in the Therapeutic Department of the City Health Centre No. 9, Barnaul, 385 COPD patients, which were divided into 2 groups: group I – 55 patients without MS, group II – 330 patients with MS. When assessing the distribution of patients by sex, the majority were men. The mean age of patients in group I was 65.2 ± 11.1 years; in group II – 63.7 ± 9.8 years (рI–II > 0.05). Group III (comparison) consisted of 120 patients with MS without COPD, comparable in age and gender. Complaints, anamnestic data of all patients were collected. Physical examination, laboratory (assessment of carbohydrate, lipid metabolism, liver and kidney function) and clinical (electrocardiography, echocardiography) examinations were carried out. Demographic indicators, smoking habit, duration of COPD, presence of complications and comorbidities were assessed.
Results. NCI was detected in 15 (27.3%) patients of group I, in 169 (51.2%) patients of group II (рI–II < 0.05). In the comparison group, NCI was diagnosed in 52 (43.3%) patients (pII–III > 0.05). Post-COVID syndrome (NICE, 2020) was diagnosed in 6.7% of patients in group I, in 34.3% of patients in group II (p < 0.05), and in 18.4% of patients in group III (p > 0.05). A direct strong correlation was found between the occurrence of post-COVID syndrome and the severity of carbohydrate metabolism disorders according to the values of the visceral adiposity index (VAI) and the insulin resistance index (HOMA-IR) (r = 0.74 and 0.72, respectively; p < 0.05). For most clinical and laboratory indicators, the negative dynamics persisted until the 6th month with improvement by the 12th month: the levels of high-density lipoprotein cholesterol and glucose decreased, the fat free mass index (FFMI) increased (p < 0.05), however, the number of patients with high normal blood pressure and AH increased statistically significantly by the 12th month after NCI, reaching 92.4% in group II (p < 0.05).
Conclusion. NCI is more often diagnosed in patients with MS in combination wih COPD, in the presence of risk factors: advanced age, COPD, obesity, AH. Post-COVID syndrome was detected in every third patient with MS and COPD with the positive dynamics of carbohydrate and lipid metabolism disorders by the 12th month of the follow-up. AH with the development of complications (diastolic dysfunction, abdominal obesity, and associated NAFLD) was characterized by an unfavorable, progredient course in patients with MS in combination with COPD in the long-term period after NCI, which necessitates early initiation of therapy for comorbidities.
About the Authors
E. B. KlesterRussian Federation
Elena B. Klester – Dr. Sci. (Med.), Associate Professor, Head, Department of Hospital Therapy and Endocrinology
40, Lenina prosp., Barnaul, 656038
V. A. Elykomov
Russian Federation
Valeriy A. Elykomov – Dr. Sci. (Med.), Professor, Head, Department of Therapy and General Medical Practice with a Course of Additional Professional Education
Barnaul
K. V. Klester
Russian Federation
Karolina V. Klester – Assistant, Department of Hospital Therapy and Endocrinology
Barnaul
References
1. Vogelmeier C.F., Criner G.J., Martinez F.J. et al. Global Strategy for the Diagnosis, Management, and Prevention of Chronic Obstructive Lung Disease 2017 Report. GOLD Executive Summary. Am. J. Respir. Crit. Care Med. 2017;195(5):557-582. DOI: 10.1164/rccm.201701-0218PP.
2. Cruthirds C.L., Deutz N.E.P., Mizubuti Y.G.G. et al. Abdominal obesity in COPD is associated with specific metabolic and functional phenotypes. Nutr. Metab. (Lond). 2022;19(1):79. DOI: 10.1186/s12986-022-00714-z.
3. Sahoo K.C., Subhankar S., Mohanta P.C. et al. Prevalence of metabolic syndrome in chronic obstructive pulmonary disease and its correlation with severity of disease. J. Family Med. Prim. Care. 2022;5:2094-2098. DOI: 10.4103/jfmpc.jfmpc_1640_21.
4. Chan S.M.H., Selemidis S., Bozinovski S., Vlahos R. Pathobiological mechanisms underlying metabolic syndrome (MetS) in chronic obstructive pulmonary disease (COPD): clinical significance and therapeutic strategies. Pharmacol. Ther. 2019;198:160-188. DOI: 10.1016/j.pharmthera.2019.02.013.
5. Halpin D.M.G., Vogelmeier C.F., Agusti A.A. COPD & COVID-19. Arch. Bronconeumol (Engl. Ed.). 2021;57(3):162-164. DOI: 10.1016/j.arbres.2021.01.001.
6. Vanichkachorn G., Newcomb R., Cowl C.T. et al. Post-COVID-19 syndrome (long haul syndrome): description of a multidisciplinary clinic at Mayo clinic and characteristics of the initial patient cohort. Mayo Clin. Proc. 2021;96(7):1782-1791. DOI: 10.1016/j.mayocp.2021.04.024.
7. Aisanov Z.R., Avdeev S.N., Arkhipov V.V. et al. National clinical guidelines on diagnosis and treatment of chronic obstructive pulmonary disease: a clinical decision-making algorithm. Russian Pulmonology. 2017;27(1):13-20. DOI: 10.18093/0869-0189-2017-27-1-13-20. (In Russ.)
8. Alberti K.G.М.М., Zimmet P., Shaw J. Metabolic syndrome – a new world-wide definition. A Consensus Statement from the International Diabetes Federation. Diabet Med. 2006;23(5):469-480. DOI: 10.1111/j.1464-5491.2006.01858.x.
9. Prevention, diagnosis and treatment of a novel coronavirus infection (COVID-19): interim guidelines. Version 8 (03.09.2020) / Ministry of Health of the Russian Federation. URL: https://static-0.minzdrav.gov.ru/system/attachments/attaches/000/051/777/original/030902020_COVID-19_v8.pdf (accessed 21.02.2023).
10. Prevention, diagnosis and treatment of a novel coronavirus infection (COVID-19). Interim guidelines. Version 9 (26.10.2020) / Ministry of Health of the Russian Federation. URL: https://static-0.minzdrav.gov.ru/system/attachments/attaches/000/052/548/original/%D0%9C%D0%A0_COVID-19_%28v.9%29.pdf (accessed 21.02.2023).
11. Huang C., Huang L., Wang Y. et al. 6-month consequences of COVID-19 in patients discharged from hospital: a cohort study. Lancet. 2021;397(10270):220-232. DOI: 10.1016/S0140-6736(20)32656-8.
12. Ramakrishnan R.K., Kashour T., Hamid Q., Halwani R., Tlejeh I.M. Unraveling the mystery surrounding post-acute sequelae of COVID-19. Front. Immunol. 2021; 12. DOI: 10.3389/fimmu.2021.686029.
13. Portincasa P., Krawczyk M., Smyk W., Lammert F., Di Ciaula A. COVID-19 and non-alcoholic fatty liver disease: Two intersecting pandemics. Eur. J. Clin. Invest. 2020;50(10):у13338. DOI: 10.1111/eci.13338.
14. Zhao T., Wang C., Duan B. et al. Altered lipid profile in COVID-19 patients and metabolic reprogramming. Front Microbiol. 2022;13:863802. DOI: 10.3389/fmicb.2022.863802.
15. Pazukhina E., Andreeva M., Spiridonova E. et al. Prevalence and risk factors of post-COVID-19 condition in adults and children at 6 and 12 months after hospital discharge: a prospective, cohort study in Moscow (StopCOVID). BMC Med. 2022;20(1):244. DOI: 10.1186/s12916-022-02448-4.
16. Huang L., Yao Q., Gu X. et al. 1-year outcomes in hospital survivors with COVID-19: a longitudinal cohort study. Lancet. 2021;398(10302):747-758. DOI: 10.1016/S0140-6736(21)01755-4.
17. Lechner-Scott J., Levy M., Hawkes C., Yeh A., Giovannoni G. Long COVID or post COVID-19 syndrome. Mult. Scler. Relat. Disord. 2021;55:103268. DOI: 10.1016/j.msard.2021.103268.
Review
For citations:
Klester E.B., Elykomov V.A., Klester K.V. Comparative analysis of the dynamics of clinical and functional features of the metabolic syndrome in COPD patients who had a novel coronavirus infection. Journal of Siberian Medical Sciences. 2023;(1):132-148. https://doi.org/10.31549/2542-1174-2023-7-1-132-148