Dependence of cognitive profile of multimorbid elderly patients with hypertension from charlson comorbidity index

Cover Page

Cite item

Full Text

Open Access Open Access
Restricted Access Access granted
Restricted Access Subscription or Fee Access

Abstract

Population aging entails an increased incidence of age-associated diseases that are risk factors for cognitive impairment.

The aim: to еvaluate cognitive function (CF) of multimorbid patients aged ≥ 60 years with arterial hypertension (AH) depending on the Charlson comorbidity index.

Material and methods. Study participants (n = 330) were divided into 3 groups depending on the Charlson index: group 1 – 0–4 points (n = 69, median age 72 years), group 2 – 5–7 points (n = 182, median age 80 years), group 3 – ≥ 8 points (n = 79, median age 82 years). All patients were assessed for QF using a range of cognitive tests.

Results. The Montreal Cognitive Assessment Scale (MoCA) revealed statistically significant differences between groups 1 and 2, 1 and 3 (p = 0.032 and p < 0.001, respectively; maximum in group 1, minimum in group 3), on the Mini-Mental State Examination (MMSE) – between groups 1 and 3 (27 and 26 points respectively, p = 0.014), on the Alzheimer’s Disease Assessment Scale – Cognitive subscale (ADAS-Cog) – between groups 1 and 2 (12 and 15 points respectively, p = 0.011). Group 3 patients scored statistically significantly lower on the Boston Test compared to groups 1 and 2 (p₁₋₂₋₃ = 0.008). In the literal association’s subtest, group 3 patients named statistically significantly fewer words compared to patients in groups 1 and 2 (p = 0.002 and p = 0.006, respectively). In the Digit Symbol Substitution Test, statistically significant differences were recorded between groups 1 and 3 (p = 0.022). Statistically significant differences between the groups (p₁₋₂₋₃ < 0.001) were also found when evaluating the results of the maximum digit series memorization test.

Conclusion. The obtained results indicate a direct influence of the number of certain comorbidities and age of patients, which reflects the Charlson comorbidity index, on the severity of cognitive impairment in polymorbid elderly and senile patients with AH.

Full Text

Restricted Access

About the authors

Olga D. Ostroumova

Russian Medical Academy of Continuous Professional Education of the Ministry of Healthcare of Russia; I.M. Sechenov First Moscow State Medical University of the Ministry of Healthcare of Russia (Sechenov University)

Author for correspondence.
Email: ostroumova.olga@mail.ru
ORCID iD: 0000-0002-0795-8225
SPIN-code: 3910-6585

MD, Dr. Sci. (Medicine), professor, head of the Department of therapy and multimorbid pathology named after academician M.S. Vovsi, professor of the Department of clinical pharmacology and propaedeutics of internal diseases

Russian Federation, 125993, Moscow, 2/1 build. 1 Barrikadnaya St.; 119048, Moscow, 8 build. 2 Trubetskaya St.

Kantemir K. Dzamikhov

Russian Medical Academy of Continuous Professional Education of the Ministry of Healthcare of Russia

Email: kantemir.dk@mail.ru
ORCID iD: 0000-0002-8941-7018
SPIN-code: 9603-5881

MD, postgraduate student of the Department of therapy and multimorbid pathology named after academician M.S. Vovsi

Russian Federation, 125993, Moscow, 2/1 build. 1 Barrikadnaya St.

Alexey I. Kochetkov

Russian Medical Academy of Continuous Professional Education of the Ministry of Healthcare of Russia

Email: ak_info@list.ru
ORCID iD: 0000-0001-5801-3742
SPIN-code: 9212-6010

MD, PhD (Medicine), associate professor, associate professor of the Department of therapy and multimorbid pathology named after academician M.S. Vovsi

Russian Federation, 125993, Moscow, 2/1 build. 1 Barrikadnaya St.

Tatyana M. Ostroumova

I.M. Sechenov First Moscow State Medical University of the Ministry of Healthcare of Russia (Sechenov University)

Email: t.ostroumova3@gmail.com
ORCID iD: 0000-0003-1499-247X

MD, PhD (Medicine), assistant at the Department of nervous diseases and neurosurgery

Russian Federation, 119048, Moscow, 8 build. 2 Trubetskaya St.

Vera R. Shastina

Hospital for War Veterans No. 2 of the Department of Healthcare of Moscow

Email: ShastinaVR@zdrav.mos.ru
ORCID iD: 0000-0002-2933-7876
SPIN-code: 7230-9602

MD, PhD (Medicine), chief physician of Hospital for War Veterans No. 2 of the Department of Healthcare of Moscow

Russian Federation, 109472, Moscow, 168 Volgogradsky Avenue

Marina A. Lyakhova

Hospital for War Veterans No. 2 of the Department of Healthcare of Moscow

Email: ShastinaVR@zdrav.mos.ru

MD, head of the Department of palliative care

Russian Federation, 109472, Moscow, 168 Volgogradsky Avenue

References

  1. Ушкалова Е.А., Ткачева О.Н., Рунихина Н.К. с соавт. Особенности фармакотерапии у пожилых пациентов. Введение в проблему. Рациональная фармакотерапия в кардиологии. 2016; 12(1): 94–100. [Ushkalova E.A., Tkacheva O.N., Runihina N.K. et al. Features of pharmacotherapy in elderly patients. An introduction to the problem. Ratsional’naya farmakoterapiya v kardiologii = Rational Pharmacotherapy in Cardiology. 2016; 12 (1): 94–100 (In Russ.)]. https://doi.org/10.20996/1819-6446-2016-12-1-94-100. EDN: VRCVLH.
  2. Williams B., Mancia G., Spiering W. et al. ESC Scientific Document Group. 2018 ESC/ESH Guidelines for the management of arterial hypertension. Eur Heart J. 2018; 39(33): 3021–3104. https://doi.org/10.1093/eurheartj/ehy339. PMID: 30165516.
  3. Soraci L., Corica F., Corsonello A. et al. Prognostic interplay of kidney function with sarcopenia, anemia, disability and cognitive impairment. The GLISTEN study. Eur J Intern Med. 2021; 93: 57–63. https://doi.org/10.1016/j.ejim.2021.06.031. PMID: 34253448.
  4. Ganesan V., Sethuraman K., Sureshkumar et al. Platelet glycogen synthase kinase 3β regulates plasma β amyloid and phosphorylated tau levels in chronic kidney disease patients with cognitive dysfunction; therapeutic role of erythropoietin. J Nephropathol. 2023; 12(4): e17238. https://doi.org/10.34172/jnp.2022.17238.
  5. Шаталова Н.А., Дзамихов К.К., Кочетков А.И. с соавт. Состояние когнитивных функций у полиморбидных пациентов с артериальной гипертензией, фибрилляцией предсердий и хронической болезнью почек. Медицинский алфавит. 2023; (33): 50–56. [Shatalova N.A., Dzamikhov K.K., Kochetkov A.I. et al. Cognitive function status in polymorbid patients with arterial hypertension, atrial fibrillation and chronic kidney disease. Meditsinskiy alfavit = Medical Alphabet. 2023; (33): 50–56 (In Russ.)]. https://doi.org/10.33667/2078-5631-2023-33-50-56. EDN: RCNCID.
  6. Левин О.С., Чимагомедова А.Ш. Концепция переходного когнитивного синдрома в структуре когнитивных нарушений у пожилых лиц: подходы к диагностике и лечению. Современная терапия в психиатрии и неврологии. 2022; (1–2): 25–33. [Levin O.S., Chimagomedova A.Sh. The concept of transitional cognitive syndrome in the structure of cognitive disorders in the elderly: Approaches to diagnosis and treatment. Sovremennaya terapiya v psihiatrii i nevrologii = Modern Therapy in Psychiatry and Neurology. 2022; (1–2): 25–33 (In Russ.)]. EDN: WLUCJR.
  7. Charlson M.E., Pompei P., Ales K.L., MacKenzie C.R. A new method of classifying prognostic comorbidity in longitudinal studies: Development and validation. J Chronic Dis. 1987; 40(5): 373–83. https://doi.org/10.1016/0021-9681(87)90171-8. PMID: 3558716.
  8. Nasreddine Z.S., Phillips N.A., Bédirian V. et al. The Montreal Cognitive Assessment, MoCA: A brief screening tool for mild cognitive impairment. J Am Geriatr Soc. 2005; 53(4): 695–99. https://doi.org/10.1111/j.1532-5415.2005.53221.x. PMID: 15817019.
  9. Folstein M.F., Folstein S.E., McHugh P.R. “Mini-mental state”. A practical method for grading the cognitive state of patients for the clinician. J Psychiatr Res. 1975; 12(3): 189–98. https://doi.org/10.1016/0022-3956(75)90026-6. PMID: 1202204.
  10. Rosen W.G., Mohs R.C., Davis K.L. A new rating scale for Alzheimer’s disease. Am J Psychiatry. 1984; 141(11): 1356–64. https://doi.org/10.1176/ajp.141.11.1356. PMID: 6496779.
  11. Reitan R. Validity of the Trail Making Test as an indicator of organic brain damage. Percept Mot Skills. 1958; 8(3): 271–76. https://doi.org/10.2466/pms.1958.8.3.271.
  12. Wechsler D. The measurement of adult intelligence. Baltimore
  13. MD: The Williams & Wilkins Company. Psychoanalytic Quarterly. 1958; 27: 592–94. https://doi.org/10.1111/j.1939-0025.1939.tb05653.x.
  14. Strauss E. A compendium of neuropsychological tests: Administration, Norms, and Commentary. E. Strauss. Oxford: Oxford University Press. 2006: 1240 pp. https://doi.org/10.1080/09084280701280502. ISBN: 0-19-515957-8. ISBN-13: 978-0-19-515957-8.
  15. Kaplan E., Goodglass H., Weintraub S. The Boston Naming Test. Philadelphia, PA: Lea & Fibiger. 1983.
  16. MacLeod C.M. Half a century of research on the Stroop effect: An integrative review. Psychol Bull. 1991; 109(2): 163–203. https://doi.org/10.1037/0033-2909.109.2.163. PMID: 2034749.
  17. Wechsler D.A. Standardized memory scale for clinical use. J Psychol. 1945; 19(1): 87–95. https://doi.org/10.1080/00223980.1945.9917223.
  18. Wei M.Y., Levine D.A., Zahodne L.B. et al. Multimorbidity and cognitive decline over 14 years in older Americans. J Gerontol A Biol Sci Med Sci. 2020; 75(6): 1206–13. https://doi.org/10.1093/gerona/glz147. PMID: 31173065. PMCID: PMC7243582.
  19. Клинические рекомендации. Когнитивные расстройства у лиц пожилого и старческого возраста. Общественная организация «Российское общество психиатров», Общероссийская общественная организация «Российская ассоциация геронтологов и гериатров». Рубрикатор клинических рекомендаций Минздрава России. 2020. ID: 617. Доступ: https://cr.minzdrav.gov.ru/schema/617_1 (дата обращения – 26.05.2024). [Clinical guidelines. Cognitive disorders in the elderly and senile age. Russian Society of Psychiatrists, Russian Association of Gerontologists and Geriatricians. 2020. Rubricator of clinical guidelines of the Ministry of Healthcare of Russia. ID: 617. URL: https://cr.minzdrav.gov.ru/schema/617_1 (date of access – 26.05.2024) (In Russ.)].
  20. Qian Y., Chen X., Tang D. et al. Prevalence of memory-related diagnoses among U.S. older adults with early symptoms of cognitive impairment. J Gerontol A Biol Sci Med Sci. 2021; 76(10): 1846–53. https://doi.org/10.1093/gerona/glab043. PMID: 33575783. PMCID: PMC8436977.
  21. Sharma Y., Popescu A., Horwood C. et al. Relationship between vitamin C deficiency and cognitive impairment in older hospitalised patients: A cross-sectional study. Antioxidants. 2022; 11(3): 463. https://doi.org/10.3390/antiox11030463. PMID: 35326113. PMCID: PMC8944675.
  22. Fogg C., Meredith P., Culliford D. et al. Cognitive impairment is independently associated with mortality, extended hospital stays and early readmission of older people with emergency hospital admissions: A retrospective cohort study. Int J Nurs Stud. 2019; 96: 1–8. https://doi.org/10.1016/j.ijnurstu.2019.02.005. PMID: 30850127.
  23. Попов А.А., Изможерова Н.В., Гетманова Н.А. Когнитивная функция у постменопаузальных женщин с первичным остеоартрозом и полиморбидностью. Остеопороз и остеопатии. 2016; 19(2): 102–103. [Popov A.A., Izmozherova N.V., Getmanova N.A. Cognitive function in postmenopausal women with primary osteoarthritis and multimorbidity. Osteoporoz i osteopatii = Osteoporosis and Osteopathy. 2016; 19(2): 102–103 (In Russ.)]. EDN: XSCOWP.

Supplementary files

Supplementary Files
Action
1. JATS XML

Copyright (c) 2024 Bionika Media

This website uses cookies

You consent to our cookies if you continue to use our website.

About Cookies