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A new diagnostic method for cognitive impairment in hypertensive patients with long COVID

EDN: TQZEXO

Abstract

Objective — to determine the effectiveness of a new method for diagnosing cognitive impairment in patients with hypertension with long COVID.
Material and methods. In a single-stage screening clinical study, over the course of 3 years, 205 patients (23,4 %) with long COVID were selected out of 878 hypertensive patients. Patients were divided into 2 groups depending on the presence or absence of cognitive impairment based on the Mini Mental State Examination (MMSE). To assess the effectiveness of a new method for detecting cognitive impairments, the “SEMOGRAPH” multi-user information system was used as a tool for processing and analyzing patients’ oral answers in the form of “free speech” to the questions of a specially developed questionnaire, taking into account the relationship with COVID‑19 infection.
Results. The mean age of patients included in the study was 57,2 ± 12,4 years, the mean duration of long COVID was 7,3 [3,2; 12,8] months. Among hypertensive patients with long COVID syndrome, 74 (36,1 %) subjects were diagnosed with cognitive impairment using the MMSE, while cognitive decline was found in 80 (39,0 %) subjects with the help of the “SEMOGRAPH” information system. Based on the Receiver Operating Characteristic (ROC) curve, the new method for diagnosing cognitive impairment using the “SEMOGRAPH” information system was comparable to the “gold standard” — the MMSE scale: the area under the ROC curve was 0,855, p < 0,001; sensitivity 85,6 %, specificity 90,1 %.
Conclusion. A new method using the “SEMOGRAPH” information system, which eliminates the doctor’s subjectivity and the need to process questionnaires manually, in comparison with the “gold standard” — the MMSE scale, allowed for an accurate verification of cognitive impairment in hypertensive patients with long COVID.

About the Authors

O. V. Masalkin
Perm State Medical University named after Academician Ye. A. Wagner
Russian Federation

Olga V. Masalkina, MD, PhD, Associate Professor, Department of Internal Medicine and Cardiology

26 Petropavlovskaya str., Perm, 614000



N. A. Koziolova
Perm State Medical University named after Academician Ye. A. Wagner
Russian Federation

Natalya A. Koziolova, MD, PhD, DSc, Professor, Head, Department of Internal Medicine and Cardiology

26 Petropavlovskaya str., Perm, 614000



K. I. Belousov
Perm State University
Russian Federation

Konstantin I. Belousov, MD, PhD, Professor, Department of Theoretical and Applied Linguistics; Scientific Director, Laboratory of Sociocognitive and Computational Linguistics

Perm



References

1. World Health Organization. Dementia [Internet]. Geneva: World Health Organization; 2023 [updated 2023 Mar 15; cited 2024 May 10]. Available from: https://www.who.int/en/news-room/factsheets/detail/dementia

2. Sk Abd Razak R, Ismail A, Abdul Aziz AF, Suddin LS, Azzeri A, Sha’ari NI. Post-COVID syndrome prevalence: a systematic review and meta-analysis. BMC Public Health. 2024;24(1):1785. https://doi.org/10.1186/s12889-024-19264-5

3. Al-Oraibi A, Woolf K, Naidu J, Nellums LB, Pan D, Sze S, et al. Global prevalence of long COVID and its most common symptoms among healthcare workers: a systematic review and meta-analysis. BMJ Public Health. 2025;3(1):e000269. https://doi.org/10.1136/bmjph‑2023-000269

4. Morgan S, Smith JM, Thomas B, Moreno M, Visovsky C, Beckie T. Risk factors and predictors for persistent dyspnea post-COVID‑19: a systematic review. Clin Nurs Res. 2025;34(3–4):195–212. https://doi.org/10.1177/10547738251314076

5. Fernandez-de-Las-Peñas C, Notarte KI, Macasaet R, Velasco JV, Catahay JA, Ver AT, et al. Persistence of post-COVID symptoms in the general population two years after SARS-CoV‑2 infection: a systematic review and meta-analysis. J Infect. 2024;88(2):77–88. https://doi.org/10.1016/j.jinf.2023.12.004

6. Ollila H, Tiainen M, Pihlaja R, Koskinen S, Tuulio-Henriksson A, Salmela V, et al. Subjective cognitive, psychiatric, and fatigue symptoms two years after COVID‑19: a prospective longitudinal cohort study. Brain Behav Immun Health. 2025;45:100980. https://doi.org/10.1016/j.bbih.2025.100980

7. Liu H, Huo Q, Li F, Luo X, Deng R. Machine learning applied to mild cognitive impairment: bibliometric and visual analysis from 2015 to 2024. Front Neurol. 2025;16:1587441. https://doi.org/10.3389/fneur.2025.1587441

8. Gallegos M, Morgan ML, Cervigni M, Martino P, Murray J, Calandra M, et al. 45 Years of the mini-mental state examination (MMSE): A perspective from Ibero-America. Dement Neuropsychol. 2022;16(4):384–387. https://doi.org/10.1590/1980-5764-DN‑2021-0097

9. lardi CR, Menichelli A, Michelutti M, Cattaruzza T, Manganotti P. Optimal MoCA cutoffs for detecting biologically-defined patients with MCI and early dementia. Neurol Sci. 2023;44(1):159–170. https://doi.org/10.1007/s10072-022-06422‑z

10. Huang SH, Hsiao WC, Chang HI, Ma MC, Hsu SW, Lee CC, et al. The use of individual-based FDG-PET volume of interest in predicting conversion from mild cognitive impairment to dementia. BMC Med Imaging. 2024;24(1):75. https://doi.org/10.1186/s12880-024-01256‑x

11. Li B, Zeng B, Zeng P, Luo D, Yin F, Dong X, et al. Hippocampal-subfield macro- and microstructural changes in cerebral small vessel disease with mild cognitive impairment. J Affect Disord. 2025;384:12–22. https://doi.org/10.1016/j.jad.2025.05.027

12. Ossenkoppele R, Salvadó G, Janelidze S, Binette AP, Bali D, Karlsson L, et al. Prediction of future cognitive decline among cognitively unimpaired individuals using measures of soluble phosphorylated tau or tau tangle pathology. medRxiv [Preprint]. 2024;2024.06.12.24308824. https://doi.org/10.1101/2024.06.12.24308824

13. Sperling RA, Donohue MC, Rissman RA, Johnson KA, Rentz DM, Grill JD, et al. Amyloid and tau prediction of cognitive and functional decline in unimpaired older individuals: Longitudinal data from the A4 and LEARN studies. J Prev Alzheimers Dis. 2024;11(4):802–813. https://doi.org/10.14283/jpad.2024.122

14. National Institute for Health and Care Excellence (NICE). COVID‑19 rapid guideline: managing the long-term effects of COVID‑19 [Internet]. London: NICE; 2022 [cited 2024 Jan 19]. Available from: https://www.nice.org.uk/guidance/ng188

15. Kobalava ZhD, Konradi AO, Nedogoda SV, Shlyakhto EV, Arutyunov GP, Baranova EI, et al. 2024 Clinical practice guidelines for hypertension in adults. Russian Journal of Cardiology. 2024;29(9):6117. (In Russ.) https://doi.org/10.15829/1560-4071-2024-6117

16. van der Feltz-Cornelis C, Turk F, Sweetman J, Khunti K, Gabbay M, Shepherd J, et al. Prevalence of mental health conditions and brain fog in people with long COVID: a systematic review and meta-analysis. Gen Hosp Psychiatry. 2024;88:10–22. https://doi.org/10.1016/j.genhosppsych.2024.02.009

17. Premraj L, Kannapadi NV, Briggs J, Seal SM, Battaglini D, Fanning J, et al. Mid and long-term neurological and neuropsychiatric manifestations of post-COVID‑19 syndrome: a meta-analysis. J Neurol Sci. 2022;434:120162. https://doi.org/10.1016/j.jns.2022.120162

18. Gorenshtein A, Liba T, Leibovitch L, Stern S, Stern Y. Intervention modalities for brain fog caused by long-COVID: systematic review of the literature. Neurol Sci. 2024;45(7):2951–2968. https://doi.org/10.1007/s10072–024–07566‑w

19. Thapa S, Shah S, Bhattarai A, Yazdan Panah M, Chand S, Mirmosayyeb O. Risk of dementia following herpes zoster infection among patients undertreatment versus those not: a systematic review and meta-analysis. Health Sci Rep. 2024;7(3): e1941. https://doi.org/10.1002/hsr2.1941

20. Kakoullis L, Vaz VR, Kaur D, Kakoulli S, Panos G, Chen LH, et al. Powassan virus infections: a systematic review of published cases. Trop Med Infect Dis. 2023;8(12):508. https://doi.org/10.3390/tropicalmed8120508

21. Ćosić K, Popović S, Šarlija M, Kesedžić I, Gambiraža M, Dropuljić B, et al. AI-based prediction and prevention of psychological and behavioral changes in ex-COVID‑19 patients. Front Psychol. 2021;12:782866. https://doi.org/10.3389/fpsyg.2021.782866


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For citations:


Masalkin O.V., Koziolova N.A., Belousov K.I. A new diagnostic method for cognitive impairment in hypertensive patients with long COVID. "Arterial’naya Gipertenziya" ("Arterial Hypertension"). 2025;31(3):265-273. (In Russ.) EDN: TQZEXO

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ISSN 1607-419X (Print)
ISSN 2411-8524 (Online)