Epidemiology of Alzheimer’s disease in the Odesa region





Alzheimer’s disease, epidemiology, Ukraine, Odesa region


The aim of the work was to study the epidemiology of Alzheimer’s disease in the Odesa region.

Materials and methods. The study was carried out on the basis of the Regional Mental Health Center (Odesa) in 2016–2021. The data of the primary referral of patients with a verified diagnosis of Alzheimer’s disease were analyzed. Statistical processing of the obtained data was performed by frequency analysis methods using standard MS Excel packages (Microsoft Inc., USA). The population of the Odesa region was determined according to the State Statistics Service of Ukraine.

Results. According to the retrospective analysis over the past 5 years, there was a constant increase in the number of identified patients with Alzheimer’s disease, from 4.9 cases per 100,000 population in 2016 to 6.0 cases in 2020 with a slight predominance of women in the structure of cases. Brain MRI was performed only in 29 (4.6 %) patients, EEG in 41 (6.5 %) patients. There were no cases of familial Alzheimer’s disease or early-onset Alzheimer’s disease. In 2020, Alzheimer’s and dementia deaths reached 14,196 or 2.54 % of total mortality in Ukraine.

Conclusions. The prevalence of Alzheimer’s disease was 6.0 cases per 100,000 in the population of the Odesa region at the end of 2021, which was an order of magnitude less than the global average. The mean score on the MMSE scale was 18.6 ± 0.5. The analysis on subscales has shown the prevalence of memory, spatial orientation and verbal disorders. The Ukrainian population is characterized by the small number of patients of the older age group (3.3 %) and the predominance of female patients (59.4 %).

Author Biographies

I. V. Khubetova, Regional Clinical Hospital, Odesa, Ukraine

MD, PhD, Head of the Neurology Department

D. A. Voloshchuk, Odesa National Medical University, Odesa, Ukraine

MD, PhD, DSc, Associate Professor of the Department of Psychiatry and Narcology

К. А. Kosenko, Regional Center of Mental Health, Odesa, Ukraine

MD, PhD, DSc, Head of the Department of Borderline Mental Disorders

Yu. M. Vorokhta, Armed Forces of Ukraine

MD, PhD, Head of the Medical Station of Military Unit A1620


Soria Lopez, J. A., González, H. M., & Léger, G. C. (2019). Alzheimer's disease. Handbook of clinical neurology, 167, 231-255. https://doi.org/10.1016/B978-0-12-804766-8.00013-3

Hodson R. (2018). Alzheimer's disease. Nature, 559(7715), S1. https://doi.org/10.1038/d41586-018-05717-6

DeTure, M. A., & Dickson, D. W. (2019). The neuropathological diagnosis of Alzheimer's disease. Molecular neurodegeneration, 14(1), 32. https://doi.org/10.1186/s13024-019-0333-5

Eratne, D., Loi, S. M., Farrand, S., Kelso, W., Velakoulis, D., & Looi, J. C. (2018). Alzheimer's disease: clinical update on epidemiology, pathophysiology and diagnosis. Australasian psychiatry, 26(4), 347-357. https://doi.org/10.1177/1039856218762308

GBD 2019 Dementia Forecasting Collaborators (2022). Estimation of the global prevalence of dementia in 2019 and forecasted prevalence in 2050: an analysis for the Global Burden of Disease Study 2019. The Lancet. Public health, 7(2), e105-e125. https://doi.org/10.1016/S2468-2667(21)00249-8

Trejo-Lopez, J. A., Yachnis, A. T., & Prokop, S. (2022). Neuropathology of Alzheimer's Disease. Neurotherapeutics, 19(1), 173-185. https://doi.org/10.1007/s13311-021-01146-y

Carrillo, M. C., Dean, R. A., Nicolas, F., Miller, D. S., Berman, R., Khachaturian, Z., Bain, L. J., Schindler, R., Knopman, D., & Alzheimer's Association Research Roundtable (2013). Revisiting the framework of the National Institute on Aging-Alzheimer's Association diagnostic criteria. Alzheimer's & dementia : the journal of the Alzheimer's Association, 9(5), 594-601. https://doi.org/10.1016/j.jalz.2013.05.1762

Faldu, K. G., & Shah, J. S. (2022). Alzheimer's disease: a scoping review of biomarker research and development for effective disease diagnosis. Expert review of molecular diagnostics, 22(7), 681-703. https://doi.org/10.1080/14737159.2022.2104639

Whitwell J. L. (2018). Alzheimer's disease neuroimaging. Current opinion in neurology, 31(4), 396-404. https://doi.org/10.1097/WCO.0000000000000570

Chen J. J. (2018). Cerebrovascular-Reactivity Mapping Using MRI: Considerations for Alzheimer's Disease. Frontiers in aging neuroscience, 10, 170. https://doi.org/10.3389/fnagi.2018.00170

Mohan, A., Roberto, A. J., Mohan, A., Lorenzo, A., Jones, K., Carney, M. J., Liogier-Weyback, L., Hwang, S., & Lapidus, K. A. (2016). The Significance of the Default Mode Network (DMN) in Neurological and Neuropsychiatric Disorders: A Review. The Yale journal of biology and medicine, 89(1), 49-57.

McMillan, C. T., Avants, B., Irwin, D. J., Toledo, J. B., Wolk, D. A., Van Deerlin, V. M., Shaw, L. M., Trojanoswki, J. Q., & Grossman, M. (2013). Can MRI screen for CSF biomarkers in neurodegenerative disease?. Neurology, 80(2), 132-138. https://doi.org/10.1212/WNL.0b013e31827b9147

Bozzali, M., Serra, L., & Cercignani, M. (2016). Quantitative MRI to understand Alzheimer's disease pathophysiology. Current opinion in neurology, 29(4), 437-444. https://doi.org/10.1097/WCO.0000000000000345

Karikari, T. K., Pascoal, T. A., Ashton, N. J., Janelidze, S., Benedet, A. L., Rodriguez, J. L., Chamoun, M., Savard, M., Kang, M. S., Therriault, J., Schöll, M., Massarweh, G., Soucy, J. P., Höglund, K., Brinkmalm, G., Mattsson, N., Palmqvist, S., Gauthier, S., Stomrud, E., Zetterberg, H., … Blennow, K. (2020). Blood phosphorylated tau 181 as a biomarker for Alzheimer's disease: a diagnostic performance and prediction modelling study using data from four prospective cohorts. The Lancet. Neurology, 19(5), 422-433. https://doi.org/10.1016/S1474-4422(20)30071-5

Wang, P. S., Wu, Y. T., Hung, C. I., Kwan, S. Y., Teng, S., & Soong, B. W. (2008). Early detection of periodic sharp wave complexes on EEG by independent component analysis in patients with Creutzfeldt-Jakob disease. Journal of clinical neurophysiology, 25(1), 25-31. https://doi.org/10.1097/WNP.0b013e318163a7d5

Blennow, K., & Zetterberg, H. (2018). Biomarkers for Alzheimer's disease: current status and prospects for the future. Journal of internal medicine, 284(6), 643-663. https://doi.org/10.1111/joim.12816

Lanoiselée, H. M., Nicolas, G., Wallon, D., Rovelet-Lecrux, A., Lacour, M., Rousseau, S., Richard, A. C., Pasquier, F., Rollin-Sillaire, A., Martinaud, O., Quillard-Muraine, M., de la Sayette, V., Boutoleau-Bretonniere, C., Etcharry-Bouyx, F., Chauviré, V., Sarazin, M., le Ber, I., Epelbaum, S., Jonveaux, T., Rouaud, O., … collaborators of the CNR-MAJ project (2017). APP, PSEN1, and PSEN2 mutations in early-onset Alzheimer disease: A genetic screening study of familial and sporadic cases. PLoS medicine, 14(3), e1002270. https://doi.org/10.1371/journal.pmed.1002270

Piaceri, I., Nacmias, B., & Sorbi, S. (2013). Genetics of familial and sporadic Alzheimer's disease. Frontiers in bioscience (Elite edition), 5(1), 167-177. https://doi.org/10.2741/e605

Cardoso, S., Barros, R., Marôco, J., de Mendonça, A., & Guerreiro, M. (2022). Different MMSE domains are associated to cognitive decline and education. Applied neuropsychology. Adult, 1-7. Advance online publication. https://doi.org/10.1080/23279095.2022.2041018

Babiienko, V. V., Mokiienko, A. V., & Levkovska, V. Yu. (2022). Biostatystyka [Biostatistics]. Odesa, Pres-curier [in Ukrainian].

Derzhavna sluzhba statystyky Ukrainy [State Statistics Service of Ukraine]. Retrieved from: http://www.ukrstat.gov.ua/

Iha, A., & Mukhopadhaya, K. (2021). Alzheimer’s Disease. Diagnosis and Treatment Guide. Cham, Springer.

Ohba, M., Kobayashi, R., Kirii, K., Fujita, K., Kanezawa, C., Hayashi, H., Kawakatsu, S., Otani, K., Kanoto, M., & Suzuki, K. (2021). Comparison of Alzheimer's disease patients and healthy controls in the easy Z-score imaging system with differential image reconstruction methods using SPECT/CT: verification using normal database of our institution. Annals of nuclear medicine, 35(3), 307-313. https://doi.org/10.1007/s12149-020-01562-8

Gao, F. (2021). Integrated Positron Emission Tomography/Magnetic Resonance Imaging in clinical diagnosis of Alzheimer's disease. European journal of radiology, 145, 110017. https://doi.org/10.1016/j.ejrad.2021.110017

Mofrad, S. A., Lundervold, A. J., Vik, A., & Lundervold, A. S. (2021). Cognitive and MRI trajectories for prediction of Alzheimer's disease. Scientific reports, 11(1), 2122. https://doi.org/10.1038/s41598-020-78095-7

Fernández Montenegro, J. M., Villarini, B., Angelopoulou, A., Kapetanios, E., Garcia-Rodriguez, J., & Argyriou, V. (2020). A Survey of Alzheimer's Disease Early Diagnosis Methods for Cognitive Assessment. Sensors (Basel, Switzerland), 20(24), 7292. https://doi.org/10.3390/s20247292

De Roeck, E. E., De Deyn, P. P., Dierckx, E., & Engelborghs, S. (2019). Brief cognitive screening instruments for early detection of Alzheimer's disease: a systematic review. Alzheimer's research & therapy, 11(1), 21. https://doi.org/10.1186/s13195-019-0474-3

Davis, M., O Connell, T., Johnson, S., Cline, S., Merikle, E., Martenyi, F., & Simpson, K. (2018). Estimating Alzheimer's Disease Progression Rates from Normal Cognition Through Mild Cognitive Impairment and Stages of Dementia. Current Alzheimer research, 15(8), 777-788. https://doi.org/10.2174/1567205015666180119092427

Ko, K., Yi, D., Byun, M. S., Lee, J. H., Jeon, S. Y., Kim, W. J., Byeon, G., Sung, K., Han, D., Lee, Y., Joung, H., Jung, G., Lee, J. Y., Kim, H., Kim, Y. K., Kang, K. M., Sohn, C. H., Lee, D. Y., & KBASE research group (2022). Cognitive reserve proxies, Alzheimer pathologies, and cognition. Neurobiology of aging, 110, 88-95. https://doi.org/10.1016/j.neurobiolaging.2021.10.005

Gerstenecker, A., Martin, R. C., Hebert, K., Triebel, K., & Marson, D. C. (2022). Cognitive Correlates of Impaired Testamentary Capacity in Alzheimer's Dementia. Archives of clinical neuropsychology, 37(6), 1148-1157. https://doi.org/10.1093/arclin/acac034




How to Cite

Khubetova IV, Voloshchuk DA, Kosenko КА, Vorokhta YM. Epidemiology of Alzheimer’s disease in the Odesa region. Zaporozhye medical journal [Internet]. 2023Mar.28 [cited 2024Feb.24];25(2):130-5. Available from: http://zmj.zsmu.edu.ua/article/view/270277