Preview

Russian Journal of Geriatric Medicine

Advanced search

Slowing phenotype in geriatric patients with sarcopenia, sarcopenic obesity and dyspnea

https://doi.org/10.37586/2686-8636-3-2025-321-331

Abstract

The slowing phenotype, which is widespread among geriatric patients, is a variant of unhealthy aging that conceptually links the physical, cognitive, and emotional status of the patient. The development of simple and accessible diagnostic algorithms and further study of this phenotype are of paramount importance for understanding the mechanisms of its progression and developing the most effective therapeutic strategies for correction.

OBJECTIVE: to study the prevalence of cognitive dysfunction (CD), depression, and the slowing phenotype among patients with sarcopenia and sarcopenic obesity (SO) and to assess the clinical and functional relationships between these clinical manifestations and dyspnea in the study cohort.

MATERIALS AND METHODS. In a cross-sectional observational study of 227 geriatric patients divided into four comparative groups (with sarcopenia, with SO, with obesity without sarcopenia, control group without sarcopenia and obesity), the frequency of CD, depression, dyspnea, and the slowing phenotype was studied. The McNaught and Kane scale was used to identify cognitive impairment. Depression was assessed using the Geriatric Depression Scale (GDS-15). The Modified Medical Research Council (mMRC) and Borg scales were used to interpret the severity of dyspnea.

RESULTS. The mean age of the study participants was (76.48 ± 6.94) years, with a predominance of female subjects (73.57 %). Among patients with sarcopenia and sarcopenic obesity, the greatest number of individuals with cognitive deficit, depression, and the slowing phenotype were identified. Patients with dyspnoea were found to be numerically and more severely predominant in the sarcopenic obesity and non-sarcopenic obesity groups. Statistically significant relationships were established between sarcopenia and cognitive dysfunction (c2 = 27.34; p < 0.001; С = 0.38 — average relationship), and between sarcopenia and depression (c2 = 10.82; p = 0.002; С = 0.24 — average relationship). The present study found a statistically significant correlation between dyspnoea and depression (r = 0.20; p = 0.049), fatigue (r = 0.33; p = 0.008) and average relationship with obesity (c2 = 7.85;  p = 0.006; C = 0.27). Conversely, obesity was not associated with cognitive dysfunction or depression.

CONCLUSION.  Among patients with sarcopenia and sarcopenic obesity, there is a high frequency of cognitive dysfunction, depression, and the slowing phenotype, which represents the most unfavorable prognostic variant of aging. Indirectly, dyspnea in such patients can aggravate the condition due to the negative impact on fatigue, physical function, and depression.

About the Authors

V. A. Sergeeva
Saratov State Medical University n. a. V. I. Razumovsky, Healthcare Ministry of Russia
Russian Federation

Sergeeva Viktoriya Alekseevna

Saratov



S. V. Bulgakova
Samara State Medical University, Healthcare Ministry of Russia
Russian Federation

Samara



N. Yu. Shulpina
Saratov State Medical University n. a. V. I. Razumovsky, Healthcare Ministry of Russia
Russian Federation

Saratov



D. V. Chemes
Saratov State Medical University n. a. V. I. Razumovsky, Healthcare Ministry of Russia
Russian Federation

Saratov



References

1. Cruz-Jentoft A.J., Sayer A. A. Sarcopenia. Lancet. 2019 ; 393 (10191) : 2636–2646. doi: 10.1016/S0140-6736(19)31138-9. Erratum in: Lancet. 2019 ; 393 (10191) : 2590. doi: 10.1016/S0140-6736(19)31465-5.

2. Livingston G., Huntley J., Sommerlad A., et al. Dementia prevention, intervention, and care: 2020 report of the Lancet Commission. Lancet. 2020 ; 396 (10248) : 413–446. doi: 10.1016/S0140-6736(20)30367-6. Erratum in: Lancet. 2023 ; 402 (10408) : 1132. doi: 10.1016/S0140-6736(23)02043-3.

3. Argyropoulos K., Bartsokas C., Argyropoulou A., et al. Depressive symptoms in late life in urban and semi-urban areas of South-West Greece: An undetected disorder? Indian J Psychiatry. 2015 ; 57 (3) : 295–300. doi: 10.4103/0019-5545.166617.

4. Zenebe Y., Akele B., W/Selassie M., Necho M. Prevalence and determinants of depression among old age: a systematic review and meta-analysis. Ann Gen Psychiatry. 2021 ; 20 (1) : 55. doi: 10.1186/s12991-021-00375-x.

5. Conejero I., Olié E., Courtet P., Calati R. Suicide in older adults: current perspectives. Clin Interv Aging. 2018 ; 13 : 691– 699. doi: 10.2147/CIA.S130670.

6. Li Z., Liu B., Tong X., et al. The association between sarcopenia and incident of depressive symptoms: a prospective cohort study. BMC Geriatr. 2024 ; 24(1) : 74. doi: 10.1186/s12877-023-04653-z.

7. Verghese J., Wang C., Lipton R. B., Holtzer R. Motoric cognitive risk syndrome and the risk of dementia. J Gerontol a Biol Sci Med Sci. 2013 ; 68 (4) : 412–418. doi: 10.1093/gerona/gls191.

8. van de Schraaf S. A. J., Rhodius-Meester H. F. M., Aben L., et al. Slowing: A Vascular Geriatric Syndrome? J Am Med Dir Assoc. 2022 ; 23 (1) : 47–53.e2. doi: 10.1016/j.jamda.2021.07.031.

9. Duchowny K. A., Ackley S. F., Brenowitz W. D., et al. Associations between handgrip strength and dementia risk, cognition, and neuroimaging outcomes in the UK biobank cohort study. JAMA Netw Open. 2022 ; 5 (6) : e2218314. doi: 10.1001/jamanetworkopen.2022.18314.

10. Sergeeva V. A., Runikhina N. K. Pathogenetic and Clinical Relationships between Chronic Obstructive Pulmonary Disease, Sarcopenia and Frailty. Russian Journal of Geriatric Medicine. 2024; (1) : 40–48. (In Russ.)]. doi: 10.37586/2686-8636-1-2024-40-48.

11. Sergeeva V. A., Runikhina N. K. Respiratory sarcopenia: aspects of pathogenesis, approaches to diagnosis. Pul’monologiya. 2024; 34 (6) : 869–878 (In Russ.)]. doi: 10.18093/0869-0189-2024-4271.

12. Someya Y., Tamura Y., Kaga H., et al. Sarcopenic obesity is associated with cognitive impairment in communitydwelling older adults: The Bunkyo Health Study. Clin Nutr. 2022 ; 41 (5) : 1046–1051. doi: 10.1016/j.clnu.2022.03.017.

13. Sergeeva V. A., Bulgakova S. V. The relationship between dyspnea and cognitive dysfunction under a geriatrician’s magnifying glass. RMJ. 2024 ; 9 : 28–33. (In Russ.)]. doi: 10.32364/2225-2282-2024-9-5.

14. Tolea M. I., Chrisphonte S., Galvin J. E. Sarcopenic obesity and cognitive performance. Clin Interv Aging. 2018;13:1111–1119. doi: 10.2147/CIA.S164113.

15. O'Donovan G., Sarmiento O. L., Hessel P., et al. Associations of body mass index and sarcopenia with screendetected mild cognitive impairment in older adults in Colombia. Front Nutr. 2022 ; 9 : 1011967. doi: 10.3389/fnut.2022.1011967.


Review

For citations:


Sergeeva V.A., Bulgakova S.V., Shulpina N.Yu., Chemes D.V. Slowing phenotype in geriatric patients with sarcopenia, sarcopenic obesity and dyspnea. Russian Journal of Geriatric Medicine. 2025;(3):321-331. (In Russ.) https://doi.org/10.37586/2686-8636-3-2025-321-331

Views: 22


Creative Commons License
This work is licensed under a Creative Commons BY-NC-SA 4.0.


ISSN 2686-8636 (Print)
ISSN 2686-8709 (Online)