Prognostic values of lung volumes in cohorts of persons with various degree of cardiovascular risk
Abstract. According to the data of modern epidemiological studies, a stable tendency towards an increase in the prevalence of traditional cardiovascular risk (CVR) factors in young persons is forming, the significance of which in the development of chronic non-communicable diseases in this cohort of patients is complicated by the lack of validated prognostic models. Scientific research works indicate the possibility of using lung volumes as an integral prognostic marker in various age cohorts of conditionally healthy patients.Nevzorova V.A., Priseko L.G., Menovshchikova A.K., Shumakova E.S.
The aim: to study prognostic lung volume values in different cohorts of individuals depending on age and degree of cardiovascular risk according to the SCORE2 and Framingham-30 scales.
Material and methods. 145 individuals aged 20 to 60 years were included in the study. CVR was calculated using the SCORE2 and Framingham-30 scales. The participants underwent spirometry without a bronchodilator test, with estimation of the volume of formed exhalation in 1 second (FEV1), forced vital capacity (FVC) and their ratio. Correlations between the values of these lung volumes and the category of cardiovascular risk were assessed.
Results. According to SCORE2 scale, 3.6% of respondents belonged to the low-risk category, while the majority of participants belonged to the moderate or high risk categories. The SCORE2 CVR category had no significant associations with lung volume parameters, with the exception of the lower limit of normal (LLN) of FEV1/FVC (p < 0.001). As expected, a 1% increase in SCORE2 was accompanied by a 1.4% decrease in the LLN of the FEV1/FVC ratio. When analyzing the risk by Framingham-30 scale with the addition of lipid panel parameters and including individuals aged 20 years and over, a decrease in lung volumes was most significantly associated with high CVR (p < 0.05). An increase in the Framingham-30 risk (with lipid panel data) correlated with a 0.07% decrease in the LLN of FEV1/FVC (ρ = -0.8; p < 0.001).
Conclusion. Correlations between lung function parameters and 30-year CVR were found. Combining the Framingham-30 scale and lung volumes is a promising direction for further study of these correlations and creation of an expanded algorithm for risk assessment in younger individuals.
Keywords
References
1. Долбин С.С., Адашева Т.В., Саморукова Е.И. с соавт. Стратификация сердечно-сосудистого риска у больных хронической обструктивной болезнью легких. Терапия. 2020; 6(5): 69–77. (Dolbin S.S., Adasheva T.V., Samorukova E.I. et al. Stratification of cardiovascular risk in patients with chronic obstructive pulmonary disease. Terapiya = Therapy. 2020; 6(5): 69–77 (In Russ.)).
https://doi.org/10.18565/therapy.2020.5.69-77. EDN: EZTSXX.
2. Cheng Y.-J., Chen Z.-G., Li Z.-Y. et al. Longitudinal change in lung function and subsequent risks of cardiovascular events: Evidence from four prospective cohort studies. BMC Med. 2021; 19(1): 153.
https://doi.org/10.1186/s12916-021-02023-3. PMID: 34210292. PMCID: PMC8252272.
3. Agusti A., Faner R. Lung function trajectories in health and disease. Lancet Respir Med. 2019; 7(4): 358–64.
https://doi.org/10.1016/S2213-2600(18)30529-0. PMID: 30765254.
4. Agusti A., Fabbri L.M., Baraldi E. et al. Spirometry: A practical lifespan predictor of global health and chronic respiratory and non-respiratory diseases. Eur J Intern Med. 2021; 89: 3–9.
https://doi.org/10.1016/j.ejim.2021.04.027. PMID: 34016514.
5. Ching S.-M., Chia Y.-C., Lentjes M.A.H. et al. FEV1 and total cardiovascular mortality and morbidity over an 18 years follow-up population-based prospective EPIC-NORFOLK Study. BMC Public Health. 2019; 19(1): 501.
https://doi.org/10.1186/s12889-019-6818-x. PMID: 31053065. PMCID: PMC6500069.
6. Granell R., Haider S., Deliu M. et al.; STELAR/UNICORN investigators. Lung function trajectories from school age to adulthood and their relationship with markers of cardiovascular disease risk. Thorax. 2024; 79(8): 770–77.
https://doi.org/10.1136/thorax-2023-220485. PMID: 38697843. PMCID: PMC11287578.
7. Zaigham S., Eriksson K.-F., Wollmer P., Engström G. Low lung function, sudden cardiac death and non-fatal coronary events in the general population. BMJ Open Respir Res. 2021; 8(1): e001043.
https://doi.org/10.1136/bmjresp-2021-001043. PMID: 34531228. PMCID: PMC8449980.
8. Chipayo-Gonzales D., Ramakrishna H., Nuñez-Gil I.J. Score2: A new updated algorithm to predict cardiovascular disease risk in Europe. J Сardiothorac Vasc Anesth. 2022; 36(1): 18–21.
https://doi.org/10.1053/j.jvca.2021.09.033. PMID: 34686439.
9. Веретюк В.В., Цыганкова О.В., Аметов А.С. Оценка сердечно-сосудистого риска у молодых мужчин. Доктор.Ру. 2023; 22(4): 7–17. (Veretyuk V.V., Tsygankova O.V., Ametov A.S. Evaluation of a cardiovascular risk in young men. Doctor.Ru. 2023; 22(4): 7–17 (In Russ.)).
https://doi.org/10.31550/1727-2378-2023-22-4-7-17. EDN: XGTAKO.
10. Каменева М.Ю., Черняк А.В., Айсанов З.Р. с соавт. Спирометрия: методическое руководство по проведению исследования и интерпретации результатов. Пульмонология. 2023; 33(3): 307–340. (Kameneva M.Yu., Chernyak A.V., Aisanov Z.R. et al. Spirometry: National guidelines for the testing and interpretation of results. Pulmonologiya = Pulmonology. 2023; 33(3): 307–340 (In Russ.)).
https://doi.org/10.18093/08690189-2023-33-3-307-340. EDN: DHQGAM.
11. Costanzo S., Magnacca S., Bonaccio M. et al.; Moli-sani Study Investigators. Reduced pulmonary function, low-grade inflammation and increased risk of total and cardiovascular mortality in a general adult population: Prospective results from the Moli-sani study. Respir Med. 2021; 184: 106441.
https://doi.org/10.1016/j.rmed.2021.106441. PMID: 34004499.
12. Janson C., Potts J., Malinovschi A. et al.; BOLD Collaborative Research Group. Lung function and onset of cardiometabolic diseases in the longitudinal Burden of Obstructive Lung Disease study. BMJ Open Respir Res. 2025; 12(1): e002442.
https://doi.org/10.1136/bmjresp-2024-002442. PMID: 39832891. PMCID: PMC11751964.
13. Sarycheva T., Čapková N., Pająk A. et al. Can spirometry improve the performance of cardiovascular risk model in high-risk Eastern European countries? Front Cardiovasc Med. 2023; 10: 1228807.
https://doi.org/10.3389/fcvm.2023.1228807. PMID: 37711557. PMCID: PMC10497938.
About the Authors
Vera A. Nevzorova, MD, Dr. Sci. (Medicine), professor, Director of the Institute of therapy and instrumental diagnostics, Pacific State Medical University of the Ministry of Healthcare of Russia. Address: 690002, Vladivostok, 2 Ostryakova Avenue.E-mail: nevzorova@inbox.ru
ORCID: https://orcid.org/0000-0002-0117-0349. Scopus ID: 6603425593. eLibrary SPIN: 5232-0247
Lyudmila G. Priseko, MD, lecturer of the Institute of therapy and instrumental diagnostics, Pacific State Medical University of the Ministry of Healthcare of Russia. Address: 690002, Vladivostok, 2 Ostryakova Avenue.
E-mail: ludmilka.95.95@yandex.ru
ORCID: https://orcid.org/0000-0002-3946-2064. Scopus ID: 57216433877. eLibrary SPIN: 3393-2418
Anna K. Menovshchikova, clinical resident in specialty 31.08.36 “Cardiology” of Pacific State Medical University of the Ministry of Healthcare of Russia. Address: 690002, Vladivostok, 2 Ostryakova Avenue.
E-mail: menovshhikovaan@mail.ru
ORCID: https://orcid.org/0000-0002-2375-6973
Ekaterina S. Shumakova, 6th year student in specialty 31.05.01 “General medicine” of Pacific State Medical University of the Ministry of Healthcare of Russia. Address: 690002, Vladivostok, 2 Ostryakova Avenue.
E-mail: rinkamakova06@mail.ru
ORCID: https://orcid.org/0009-0008-8780-957X