The impact of sarcopenia and comorbidity on the predicted risk of death in the elderly
- Authors: Safonova Y.A.1
-
Affiliations:
- North-Western state medical university named after I.I. Mechnikov
- Issue: Vol 28, No 1 (2024)
- Pages: 15-22
- Section: Original studies
- URL: https://journals.eco-vector.com/RFD/article/view/625689
- DOI: https://doi.org/10.17816/RFD625689
- ID: 625689
Cite item
Abstract
BACKGROUND: People with comorbidity have increased life expectancy in recent years. It affects clinical outcomes, including increased risk of death, which have not been well studied in patients with sarcopenia.
AIM: To study the frequency and structure of comorbidity and assess the contribution of sarcopenia in predicting the risk of death in people aged 65 years and older.
MATERIALS AND METHODS: The study included 230 people 65 years of age and older (70 men and 160 women, median age — 75 (68–79) years), who were consulted at a medical institution in St. Petersburg. Sarcopenia was diagnosed according to the criteria of the European Working Group on Sarcopenia, 2nd revision (2018). Comorbidity and predicted risk of death were studied using the Charlson comorbidity index.
RESULTS: Iron deficiency anemia and chronic kidney disease C3a–С3b were detected more often (p < 0.001 and p = 0.031, respectively), and obesity less often (p < 0.001) in sarcopenic patients. In sarcopenic patients, comorbidity was severe [5 (4–6) points] and the risk of death from all causes was 8.89 (95% confidence interval 3.95–20.2) times higher compared with non-sarcopenic patients (p < 0.001).
CONCLUSIONS: The significance of comorbidity was revealed, and a high probability of risk of death with sarcopenia in the elderly was revealed. This makes it possible to carry out activities that will delay the onset of death to a later age.
Full Text
About the authors
Yuliya A. Safonova
North-Western state medical university named after I.I. Mechnikov
Author for correspondence.
Email: jula_safonova@mail.ru
ORCID iD: 0000-0003-2923-9712
SPIN-code: 9690-6636
MD, Dr. Sci. (Med.), Assistant Professor
Russian Federation, Saint PetersburgReferences
- Cruz-Jentoft AJ, Bahat G, Bauer J, et al. Sarcopenia: revised European consensus on definition and diagnosis. Age Ageing. 2019;48(1):16–31. doi: 10.1093/ageing/afy169
- Guerra GS, Berbiche D, Vasiliadis HM. Measuring multimorbidity in older adults: comparing different data sources. BMC Geriatr. 2019;19(1):166. doi: 10.1186/s12877-019-1173-4
- Makovski TT, Schmitz S, Zeegers MP, et al. Multimorbidity and quality of life: Systematic literature review and meta-analysis. Ageing Res Rev. 2019;53:100903. doi: 10.1016/j.arr.2019.04.005
- Buja A, Rivera M, De Battisti E, et al. Multimorbidity and hospital admissions in high-need, high-cost elderly patients. J Aging Health. 2020;32(5–6):259–268. doi: 10.1177/0898264318817091
- Gruneir A, Bronskill SE, Maxwell CJ, et al. The association between multimorbidity and hospitalization is modified by individual demographics and physician continuity of care: a retrospective cohort study. BMC Health Serv Res. 2016;16:154. doi: 10.1186/s12913-016-1415-5
- Nunes BP, Flores TR, Mielke GI, et al. Multimorbidity and mortality in older adults: A systematic review and meta-analysis. Arch Gerontol Geriatr. 2016;67:130–138. doi: 10.1016/j.archger.2016.07.008
- Tkacheva ON. Perspectives of geriatric service development in the Russian Federation. Handbook for Practitioners Doctors. 2017;(5):9–11. EDN: YKJZLR
- Hernández B, Reilly RB, Kenny RA. Investigation of multimorbidity and prevalent disease combinations in older Irish adults using network analysis and association rules. Sci Rep. 2019;9(1):14567. doi: 10.1038/s41598-019-51135-7
- Garin N, Koyanagi A, Chatterji S, et al. Global multimorbidity patterns: a cross-sectional, population-based, multi-country study. J Gerontol A Biol Sci Med Sci. 2016;71(2):205–214. doi: 10.1093/gerona/glv128
- Gong G, Wan W, Zhang X, et al. Correlation between the Charlson comorbidity index and skeletal muscle mass/physical performance in hospitalized older people potentially suffering from sarcopenia. BMC Geriatr. 2019;19(1):367. doi: 10.1186/s12877-019-1395-5
- Sobestiansky S, Michaelsson K, Cederholm T. Sarcopenia prevalence and associations with mortality and hospitalisation by various sarcopenia definitions in 85-89 year old community-dwelling men: a report from the ULSAM study. BMC Geriatr. 2019;19(1):318. doi: 10.1186/s12877-019-1338-1
- Martinez BP, Batista AK, Gomes IB, et al. Frequency of sarcopenia and associated factors among hospitalized elderly patients. BMC Musculoskelet Disord. 2015;16:108. doi: 10.1186/s12891-015-0570-x
- Erokhina A, Golovanova E. Relationship between comorbidity and sarcopenia: impact on mortality and survival. Vrach. 2021;32(6):60–64. EDN: EVIIJJ doi: 10.29296/25877305-2021-06-11
- Vetrano DL, Landi F, Volpato S, et al. Association of sarcopenia with short- and long-term mortality in older adults admitted to acute care wards: Results from the CRIME study. J Gerontol A Biol Sci Med Sci. 2014;69(9):1154–1161. doi: 10.1093/gerona/glu034
- Locquet M, Beaudart C, Hajaoui M, et al. Three-Year adverse health consequences of sarcopenia in community-dwelling older adults according to 5 diagnosis definitions. J Am Med Dir Assoc. 2019;20(1):43–46.e2. doi: 10.1016/j.jamda.2018.06.004
- Veronese N, Demurtas J, Soysal P, et al. Sarcopenia and health-related outcomes: an umbrella review of observational studies. Eur Geriatr Med. 2019;10(6):853–862. doi: 10.1007/s41999-019-00233-w