Approaches to predicting life expectancy in elderly coronary artery disease patients with comorbid conditions

Authors

DOI:

https://doi.org/10.14739/2310-1210.2023.5.280007

Keywords:

coronary artery disease, comorbidity, older age, life expectancy

Abstract

The aim of the study was to develop a model for predicting the probability of survival up to 80 years of age for elderly and senile patients with coronary artery disease (CAD) and concomitant conditions.

Materials and methods. A retrospective data analysis of elderly and senile CAD patients who were observed in the period 1997–2019 and died from a cardiovascular event.

Results. Using binary logistic regression analysis, a model of the survival probability up to 80 years in CAD patients with comorbid conditions has been developed. The overall accuracy of the model was 83.12 % (χ2 = 6.70, p < 0.05), and the predictive accuracy of the model (AUC = 0.853, 95 % CI 0.802–0.896) was sufficiently high and adequate to use in clinical practice. Odds ratio has shown a greater contribution of arterial hypertension and diabetes mellitus to reduced probabilities of surviving to the age of 80, a less significant contribution – of chronic obstructive pulmonary disease and dyslipidemia.

Conclusions. The developed model for predicting the survival probability up to 80 years for older age group patients with coronary artery disease and comorbid conditions can be used to evaluate the effectiveness and correct medical and preventive measures.

Author Biographies

E. O. Asanov, SI “D. F. Chebotarov Institute of Gerontology of the NAMS of Ukraine”, Kyiv

MD, PhD, DSc, Chief Researcher of the Department of Clinical Physiology and Pathology of Internal Organs

G. P. Voinarovska, SI “D. F. Chebotarov Institute of Gerontology of the NAMS of Ukraine”, Kyiv

MD, PhD, Junior Researcher of the Department of Clinical Physiology and Pathology of Internal Organs

I. A. Dyba, SI “D. F. Chebotarov Institute of Gerontology of the NAMS of Ukraine”, Kyiv

MD, PhD, Senior Researcher of the Department of Clinical Physiology and Pathology of Internal Organs

References

Putcha, N., Ozol-Godfrey, A., Sanjar, S., & Sharma, S. (2021). Impact of Comorbidity Prevalence and Cardiovascular Disease Status on the Efficacy and Safety of Nebulized Glycopyrrolate in Patients with COPD. International journal of chronic obstructive pulmonary disease, 16, 1061-1073. https://doi.org/10.2147/COPD.S302088

Cruz-Ávila, H. A., Vallejo, M., Martínez-García, M., & Hernández-Lemus, E. (2020). Comorbidity Networks in Cardiovascular Diseases. Frontiers in physiology, 11, 1009. https://doi.org/10.3389/fphys.2020.01009

GBD 2019 Diseases and Injuries Collaborators (2020). Global burden of 369 diseases and injuries in 204 countries and territories, 1990-2019: a systematic analysis for the Global Burden of Disease Study 2019. Lancet, 396(10258), 1204-1222. https://doi.org/10.1016/S0140-6736(20)30925-9

Khan, M. A., Hashim, M. J., Mustafa, H., Baniyas, M. Y., Al Suwaidi, S. K. B. M., AlKatheeri, R., Alblooshi, F. M. K., Almatrooshi, M. E. A. H., Alzaabi, M. E. H., Al Darmaki, R. S., & Lootah, S. N. A. H. (2020). Global Epidemiology of Ischemic Heart Disease: Results from the Global Burden of Disease Study. Cureus, 12(7), e9349. https://doi.org/10.7759/cureus.9349

Triposkiadis, F., Xanthopoulos, A., & Butler, J. (2019). Cardiovascular Aging and Heart Failure: JACC Review Topic of the Week. Journal of the American College of Cardiology, 74(6), 804-813. https://doi.org/10.1016/j.jacc.2019.06.053

Fedorov, S. V. (2022). Ishemichna khvoroba sertsia – osnovna prychyna smertnosti khvorykh na sertsevo-sudynni zakhvoriuvannia [Ischemic heart disease is the main cause of death in patients with cardiovascular diseases]. Liky Ukrainy, (2), 15-17. [in Ukrainian]. https://doi.org/10.37987/1997-9894.2022.2(258).264086

Rashid, M., Kwok, C. S., Gale, C. P., Doherty, P., Olier, I., Sperrin, M., Kontopantelis, E., Peat, G., & Mamas, M. A. (2017). Impact of co-morbid burden on mortality in patients with coronary heart disease, heart failure, and cerebrovascular accident: a systematic review and meta-analysis. European heart journal. Quality of care & clinical outcomes, 3(1), 20-36. https://doi.org/10.1093/ehjqcco/qcw025

Hall, M., Dondo, T. B., Yan, A. T., Mamas, M. A., Timmis, A. D., Deanfield, J. E., Jernberg, T., Hemingway, H., Fox, K. A. A., & Gale, C. P. (2018). Multimorbidity and survival for patients with acute myocardial infarction in England and Wales: Latent class analysis of a nationwide population-based cohort. PLoS medicine, 15(3), e1002501. https://doi.org/10.1371/journal.pmed.1002501

Madhavan, M. V., Gersh, B. J., Alexander, K. P., Granger, C. B., & Stone, G. W. (2018). Coronary Artery Disease in Patients ≥80 Years of Age. Journal of the American College of Cardiology, 71(18), 2015-2040. https://doi.org/10.1016/j.jacc.2017.12.068

Paneni, F., Diaz Cañestro, C., Libby, P., Lüscher, T. F., & Camici, G. G. (2017). The Aging Cardiovascular System: Understanding It at the Cellular and Clinical Levels. Journal of the American College of Cardiology, 69(15), 1952-1967. https://doi.org/10.1016/j.jacc.2017.01.064

Zdrenghea, D., Guşetu, G., Zdrenghea, M., Cismaru, G., Caloian, B., Vaidean, G., & Pop, D. (2019). CV RISK - A new relative cardiovascular risk score. Medical hypotheses, 132, 109362. https://doi.org/10.1016/j.mehy.2019.109362

Pezel, T., Sanguineti, F., Kinnel, M., Hovasse, T., Garot, P., Unterseeh, T., Champagne, S., Louvard, Y., Morice, M. C., & Garot, J. (2021). Prognostic value of dipyridamole stress perfusion cardiovascular magnetic resonance in elderly patients >75 years with suspected coronary artery disease. European heart journal. Cardiovascular Imaging, 22(8), 904-911. https://doi.org/10.1093/ehjci/jeaa193

Antonopoulos, A. S., Angelopoulos, A., Tsioufis, K., Antoniades, C., & Tousoulis, D. (2022). Cardiovascular risk stratification by coronary computed tomography angiography imaging: current state-of-the-art. European journal of preventive cardiology, 29(4), 608-624. https://doi.org/10.1093/eurjpc/zwab067

Kahl, A., du Bois, A., Harter, P., Prader, S., Schneider, S., Heitz, F., Traut, A., Alesina, P. F., Meier, B., Walz, M., Brueckner, A., Groeben, H. T., Brunkhorst, V., Heikaus, S., & Ataseven, B. (2017). Prognostic Value of the Age-Adjusted Charlson Comorbidity Index (ACCI) on Short- and Long-Term Outcome in Patients with Advanced Primary Epithelial Ovarian Cancer. Annals of surgical oncology, 24(12), 3692-3699. https://doi.org/10.1245/s10434-017-6079-9

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Published

2023-09-28

How to Cite

1.
Asanov EO, Voinarovska GP, Dyba IA. Approaches to predicting life expectancy in elderly coronary artery disease patients with comorbid conditions. Zaporozhye Medical Journal [Internet]. 2023Sep.28 [cited 2024Nov.18];25(5):391-4. Available from: http://zmj.zsmu.edu.ua/article/view/280007

Issue

Vol. 25 No. 5 (2023): Zaporozhye medical journal

Section

Original research

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