Preview

Medical alphabet

Advanced search
Open Access Open Access  Restricted Access Subscription or Fee Access

Association of body composition of patients with chronic heart failure with the course of the disease

https://doi.org/10.33667/2087-5631-2024-54-47-52

Abstract

Aim. To identify the relationship between the nutritional status of patients suffering from chronic heart failure (CHF) and their clinical condition.

Materials and methods. The study involved 298 people: 115 men and 183 women (the average age was 61 years). After body composition assessment, the patients were divided into 5 groups: group 1 – reduced weight + sarcopenia (n=45); group 2 – normal weight + sarcopenia (n=79); group 3 – normal weight without sarcopenia (n=49); 4th group – obesity + sarcopenia (n=72); group 5 – obesity without sarcopenia (n=53). The clinical condition of patients in the study groups was assessed with the determination of functional class (FC), ejection fraction (EF), and the analysis of laboratory parameters such as C-reactive protein (CRP), N-terminal natriuretic propeptide B-type (NT-proBNP) and galectin‑3 was carried out.

Results. The most unfavorable course of CHF was determined in patients with reduced body weight and sarcopenia. Thus, in group 1, FC IV was more common than in others (42.2%), FC II was not determined at all. The EF values were the lowest and amounted to 27–36%. The least severe course of CHF was observed in patients with normal body weight without sarcopenia. FC II was more common in group 3 (67.3%). At the same time, the EF was reduced or intermediate. In the obese groups, the course of the disease was less favorable than in the group with normal body composition. However, it is better than in patients with sarcopenia alone. In groups 4 (47.2%) and 5 (52.8%), FC III was more common, and the values of the EF exceeded 50%.

Conclusion. Changes in the body composition of patients suffering from CHF are definitely associated with the severity of the disease and relate to unfavorable prognostic factors. To choose the most effective treatment tactics for patients, it is necessary to identify the clinical phenotypes of CHF with an assessment of the components of body composition.

About the Authors

V. I. Shevtsova
Voronezh State Medical University named after N.N. Burdenko
Russian Federation

Shevtsova Veronika I., PhD Med, associate professor at Dept of Polyclinic Therapy

Voronezh



A. A. Pashkova
Voronezh State Medical University named after N.N. Burdenko
Russian Federation

Pashkova Anna A., DM Sci (habil.), professor, head of Dept of Polyclinic Therapy

Voronezh



V. N. Salamatova
Voronezh State Medical University named after N.N. Burdenko
Russian Federation

Salamatova Valeriya N., student of the 6th year at Faculty of General Medicine

Voronezh



A. N. Shevtsov
Voronezh State Medical University named after N.N. Burdenko
Russian Federation

Shevtsov Artem N., PhD Med, associate professor at Dept of Operative Surgery with Topographic Anatomy

Voronezh



O. N. Krasnoruckaya
Voronezh State Medical University named after N.N. Burdenko
Russian Federation

Krasnoruckaya Olga N., DM Sci (habil.), professor at Dept of Polyclinic Therapy

Voronezh



References

1. Carbone S, Billingsley HE, Rodriguez-Miguelez P. et al. Lean mass abnormalities in heart failure: the role of sarcopenia, sarcopenic obesity, and cachexia. Curr Probl Cardiol. 2019; 100417. DOI: 10.1016/j.cpcardiol.2019.03.006

2. Soto ME, Pérez-Torres I, Rubio-Ruiz ME, Manzano-Pech L, Guarner-Lans V. Interconnection between Cardiac Cachexia and Heart Failure-Protective Role of Cardiac Obesity. Cells. 2022; 11 (6). DOI: 10.3390/cells11061039

3. Krysztofiak H, Wleklik M, Migaj J. et al. Cardiac Cachexia: A Well-Known but Challenging Complication of Heart Failure. Clin Interv Aging. 2020; 15: 2041-2051. DOI: 10.2147/CIA.S273967

4. Sasaki KI, Kakuma T, Sasaki M. et al. The prevalence of sarcopenia and subtypes in cardiovascular diseases, and a new diagnostic approach. J. Cardiol. 2020; 76 (3): 266-272. DOI: 10.1016/j.jjcc.2020.03.004

5. Grigorieva II, Raskina TA, Letaeva M.V. et al. Sarcopenia: pathogenesis and diagnosis. Fundamental and Clinical Medicine. 2019; 4 (4): 105-116. (In Russ.). DOI: 10.23946 /2500-0764-2019-4-4-105-116.

6. Ohori K, Yano T, Katano S. et al. High percent body fat mass predicts lower risk of cardiac events in patients with heart failure: an explanation of the obesity paradox. BMC Geriatr. 2021; 21 (1): 16. DOI: 10.1186/s12877-020-01950-9

7. Zhang X, Xie X, Dou Q. et al. Association of sarcopenic obesity with the risk of all-cause mortality among adults over a broad range of different settings: a updated meta-analysis. BMC Geriatr. 2019; 19 (1): 183. DOI: 10.1186/s12877-019-1195-y

8. Zhang Y, Zhang J, Ni W. et al. Sarcopenia in heart failure: a systematic review and meta-analysis. ESC Heart Fail. 2021; 8: 1007-1017. DOI: 10.1002/ehf2.13255

9. Attaway A, Bellar AD, Dieye F, Wajda D, Welch N, Dasarathy S. Clinical impact of compound sarcopenia in hospitalized older adult patients with heart failure. J. Am. Geriatr Soc. 2021; 69: 1815-1825. DOI: 10.1111/jgs.17108

10. Damluji AA, Alfaraidhy M, AlHajri N. et al. Sarcopenia and Cardiovascular Diseases. Circulation. 2023; 147 (20): 1534-1553. DOI: 10.1161/CIRCULATIONAHA.123.064071

11. Konishi M, Kagiyama N, Kamiya K. et al. Impact of sarcopenia on prognosis in patients with heart failure with reduced and preserved ejection fraction. Eur. J. Prev. Cardiol. 2021; 28 (9): 1022-1029. DOI: 10.1093/eurjpc/zwaa117

12. Curcio F, Testa G, Liguori I. et al. Sarcopenia and Heart Failure. Nutrients. 2020; 12 (1): 211. DOI: 10.3390/nu12010211

13. Charkiewicz M, Wojszel ZB, Kasiukiewicz A, Magnuszewski L, Wojszel A. Association of Chronic Heart Failure with Frailty, Malnutrition, and Sarcopenia Parameters in Older Patients-A Cross-Sectional Study in a Geriatric Ward. J. Clin. Med. 2023; 12 (6): 2305. DOI: 10.3390/jcm12062305

14. Valentova M, Anker SD, von Haehling S. Cardiac Cachexia Revisited: The Role of Wasting in Heart Failure. Cardiol Clin. 2022; 40 (2): 199-207. DOI: 10.1016/j.ccl.2021.12.008

15. Vest AR, Chan M, Deswal A. et al. Nutrition, Obesity, and Cachexia in Patients With Heart Failure: A Consensus Statement from the Heart Failure Society of America Scientific Statements Committee. J. Card. Fail. 2019; 25 (5): 380-400. DOI: 10.1016/j.cardfail.2019.03.007

16. Kenchaiah S, Pocock SJ, Wang D. et al. Body mass index and prognosis in patients with chronic heart failure: insights from the Candesartan in Heart failure: Assessment of Reduction in Mortality and morbidity (CHARM) program. Circulation. 2007; 116 (6): 62-636. DOI: 10.1161/CIRCULATIONAHA.106.679779

17. Wei S, Nguyen TT, Zhang Y, Ryu D, Gariani K. Sarcopenic obesity: epidemiology, pathophysiology, cardiovascular disease, mortality, and management. Front Endocrinol (Lausanne). 2023; 1-4: 1185221. DOI: 10.3389/fendo.2023.1185221

18. Saito H, Matsue Y, Kamiya K. et al. Sarcopenic obesity is associated with impaired physical function and mortality in older patients with heart failure: insight from FRAGILE-HF. BMC Geriatr. 2022; 22 (1): 556. DOI: 10.1186/s12877-022-03168-3

19. Kirkman DL, Bohmke N, Billingsley HE, Carbone S. Sarcopenic Obesity in Heart Failure With Preserved Ejection Fraction. Front Endocrinol (Lausanne). 2020; 11: 558271. DOI: 10.3389/fendo.2020.558271

20. Liu C, Wong PY, Chung YL, Chow SK, Cheung WH, Law SW, Chan JCN, Wong RMY. Deciphering the «obesity paradox» in the elderly: A systematic review and meta-analysis of sarcopenic obesity. Obes Rev. 2023; 24 (2): e13534. DOI: 10.1111/obr.13534

21. Kurlianskaya EK, Mrochek AG, Denisevich TL, Kaliadka MG, Russkich II. The Prognostic Role of Biomarkers in Patients With Chronic Heart Failure. Kardiologiia. 2020; 60 (1): 16-22. (In Russ.). DOI: 10.18087/cardio.2020.1.n882

22. Vergaro G, Gentile F, Meems LMG. et al. NT-proBNP for Risk Prediction in Heart Failure: Identification of Optimal Cutoffs Across Body Mass Index Categories. JACC Heart Fail. 2021; 9 (9): 653-663. DOI: 10.1016/j.jchf.2021.05.014.

23. Sato R, Vatic M, da Fonseca GWP, von Haehling S. Sarcopenia and Frailty in Heart Failure: Is There a Biomarker Signature? Curr Heart Fail Rep. 2022; 19 (6): 400–411. DOI: 10.1007/s11897-022-00575-w.

24. Pacifico J, Geerlings MAJ, Reijnierse EM. et al. Prevalence of sarcopenia as a comorbid disease: A systematic review and meta-analysis. Exp Gerontol. 2020; 131: 110801. DOI: 10.1016/j.exger.2019.110801.

25. Fyodorova TA, Ivanova YeA, Semenenko NA. et al. Clinical and Laboratory Aspects of Chronic Heart Failure in Patients with Metabolic Syndrome. Effective pharmacotherapy. 2019; 15 (20): 10-6. (In Russ.). DOI: 10.33978/2307-3586-2019-15-20-10-16.

26. Safonova Yu.A., Toroptsova N.V. Frequency and risk factors of sarcopenia in the elderly people. The clinician. 2022; 16(2): 40-7. (In Russ.). DOI: 10.17650/1818-8338-2022-16-2-К661.

27. Podzolkov VI, Dragomiretsksya NA, Kazadaeva AV, Beliaev YuG, Tolmacheva AV. Relationships between the activity of neurohormonal systems and intracardiac hemodynamics in patients with heart failure: focus on galectin-3. Russian Journal of Cardiology. 2022; 27(4): 73-78. (In Russ.). DOI: 10.15829/1560-4071-2022-4957.

28. Nurjannah N, Nurahmi N, Kurniawan LB. Correlation Analysis of Galectin-3 Serum Level in Obesity with and without Obesity. Indonesian J. Clin. Pathol. Med. Lab. 2023; 29 (3): 216-219. DOI: 10.24293/ijcpml.v29i3.2048

29. Altun Özgür, Dikker O, Akarsu M. et al. The relationship of serum galectin-3 levels with obesity and insulin resistance. J. Surg. Med. 2019; 3(8): 564-567. DOI: 10.28982/josam.602984

30. Florido R, Kwak L, Echouffo-Tcheugui JB, et al. Obesity, Galectin-3, and Incident Heart Failure: The ARIC Study. J. Am. Heart. Assoc. 2022; 11 (9): e023238. DOI: 10.1161/JAHA.121.023238.


Review

For citations:


Shevtsova V.I., Pashkova A.A., Salamatova V.N., Shevtsov A.N., Krasnoruckaya O.N. Association of body composition of patients with chronic heart failure with the course of the disease. Medical alphabet. 2024;(24):47-52. (In Russ.) https://doi.org/10.33667/2087-5631-2024-54-47-52

Views: 77


ISSN 2078-5631 (Print)
ISSN 2949-2807 (Online)