medinfoАктуальные проблемы теоретической и клинической медициныActual Problems of Theoretical and Clinical Medicine2790-12892790-1297Казахстанско-Российский медицинский университет10.24412/2790-1289-2023-3-32-39medinfo-337Research ArticleОРИГИНАЛЬНЫЕ ИССЛЕДОВАНИЯORIGINAL ARTICLESПрогнозирование выживаемости пациентов после инсульта в учреждениях долговременного ухода с использованием шкалы БартелPredicting the survival of patients after a stroke in long-term care facilities using the Barthel Indexhttps://orcid.org/0000-0003-2696-5241ПолубоярцевИ. О.PoluboiartsevI. O.

Полубоярцев Игорь Олегович, заместитель декана,

г. Алматы.

Poluboiartsev Igor Olegovich, Deputy Dean,

Almaty.

 

deymonp@gmail.comНУО «Казахстанско-Российский медицинский университет»КазахстанKazakhstan-Russia Medical UniversityKazakhstan202312102023033239Copyright © Полубоярцев И.О., 20232023Полубоярцев И.О.Poluboiartsev I.O.Данная работа распространяется под лицензией Creative Commons Attribution 4.0.This work is licensed under a Creative Commons Attribution 4.0 License.https://kazrosmedjournal.krmu.edu.kz/jour/article/view/337

Цель. Настоящее исследование направлено на оценку прогностической ценности индекса Бартела у пациентов после острого нарушения мозгового кровообращения при определении прогноза выживаемости.Материал и методы. При проведении данного исследования были использованы такие методы, как: статистический ретроспективный анализ данных пациентов, перенесших остроенарушение мозгового кровообращения; комплексная оценка пациентов в соответствии с методикой оценки индекса Бартел; оценка прогностической достоверности шкалы Бартел приработе с пациентами, перенесшими острое нарушение мозгового кровообращения, изучениеретроспективных публикаций по данной теме.Полученные результаты позволяют оценить разницу в баллах при оценке индекса Бартел между группой выживших и группой умерших пациентов. Данная разница оказаласьстатистически значимой (среднее значение в группе выживших было 77,5 баллов, среднее значение в группе умерших было 37,5 баллов), при том, что бал был ниже в группе умерших, чемв группе выживших. Согласно линейному тренду, снижение показателя индекса Бартела свидетельствует о повышении риска летальности у больных перенесших острое нарушениемозгового кровообращения.Выводы. По результатам исследования можно сделать вывод, что индекс Бартел является ценной системой оценки для формирования прогноза выживаемости у пациентов, перенесшихострое нарушение мозгового кровообращения.

Purpose. This study aims to evaluate the prognostic value of the Barthel Index in patients following acute cerebrovascular events for determining survival prognosis.Materials and methods. In this research, various methods were employed, including a statistical retrospective analysis of patient data from those who had experienced acute cerebrovascular events, acomprehensive evaluation of patients using the Barthel Index assessment methodology, an assessment of the prognostic reliability of the Barthel Scale in dealing with patients who had experienced acutecerebrovascular events, and a review of retrospective publications on this subject. The results obtained enable an assessment of the difference in Barthel Index scores between the group of survivors and the group of deceased patients. This difference was statistically significant, with the mean score in the survivor group being 77.5 points and the mean score in the deceased group being 37.5points. Importantly, the score was lower in the deceased group compared to the survivor group. According to the linear trend, a decrease in the Barthel Index indicates an increased risk of mortality in patients who have experienced a cerebrovascular event.Conclusions. Based on the research findings, it can be concluded that the Barthel Index is a valuable assessment system for predicting the survival of patients who have experienced a cerebrovascular event.

инсультОНМКострое нарушение мозгового кровообращенияиндекс Бартелповседневная активностьпрогнозADLуходвыживаемостьгериатрияstrokecerebrovascular eventacute cerebrovascular eventBarthel Indexactivities of daily living (ADL)caresurvivalgeriatricsReferencesArabi Y. M., Murthy S., Webb S. Covid-19: a novel coronavirus and a novel challenge for critical care // Intensive Care Medicine. – 2020. – Vol. 46. – P. 833-836. – DOI: 10.1007/s00134-02005955-1.Arabi, Y. M., Murthy, S. and Webb, S. (2020). Covid-19: a novel coronavirus and a novel challenge for critical care. Intensive Care Medicine, 46, 833-836, DOI: 10.1007/s00134-020-05955-1.Dong E., Du H., Gardner L. An interactive web-based dashboard to track Covid-19 in real time // The Lancet Infectious Diseases. – 2020. – Vol. 20. – P. 533-534. – DOI: 10.1016/S14733099(20)30120-1.Dong, E., Du, H. and Gardner, L. (2020). An interactive web-based dashboard to track Covid-19 in real time. The Lancet Infectious Diseases, 20, 533-534, DOI: 10.1016/S1473-3099(20)30120-1.Angell B., Sanuade O., Adetifa IMO., Okeke I.N., Adamu A. L., Aliyu M. H. et al. Population health outcomes in Nigeria compared with other west African countries, 1998-2019: a systematic analysis for the global burden of disease study // Lancet. – 2022. – Vol. 399. – P. 1117-1129. – DOI: 10.1016/S0140-6736(21)02722-7.Angell, B., Sanuade, O., Adetifa, IMO., Okeke, I.N., Adamu, A. L., Aliyu, M. H. et al. (2022). Population health outcomes in Nigeria compared with other west African countries, 1998-2019: a systematic analysis for the global burden of disease study. Lancet, 399, 1117-1129, DOI: 10.1016/S0140-6736(21)02722-7.Who Coronavirus (Covid-19) [Electronic source] // World Health Organization [Website]. – 2022. – URL: https://covid19.who.int/. (Accessed: 18.04.2023).Who Coronavirus (Covid-19). (2022). World Health Organization [Website]. Retrieved April 18, 2023, from https://covid19.who.int/.Struyf T., Deeks J. J., Dinnes J., Takwoingi Y., Davenport C., Leeflang M. M. et al. Signs and symptoms to determine if a patient presenting in primary care or hospital outpatient settings has Covid-19 // The Cochrane Database of Systematic Reviews. – 2022. – Vol. 5. – DOI: 10.1002/14651858.CD013665.pub3.Struyf, T., Deeks, J. J., Dinnes, J., Takwoingi, Y., Davenport, C., Leeflang, M. M. et al. (2022). Signs and symptoms to determine if a patient presenting in primary care or hospital outpatient settings has Covid-19. The Cochrane Database of Systematic Reviews, 5, DOI: 10.1002/14651858.CD013665.pub3.Modin D., Claggett B., Sindet-Pedersen C., Lassen MCH., Skaarup K. G., Jensen JUS. et al. Acute Covid-19 and the incidence of ischemic stroke and acute myocardial infarction // Circulation. – 2020. – Vol. 142. – P. 2080-2082. – DOI: 10.1161/CIRCULATIONAHA.120.050809.Modin, D., Claggett, B., Sindet-Pedersen, C., Lassen, MCH., Skaarup, K. G., Jensen, JUS. et al. (2020). Acute Covid-19 and the incidence of ischemic stroke and acute myocardial infarction. Circulation, 142, 2080-2082, DOI: 10.1161/CIRCULATIONAHA.120.050809.Mao L., Jin H., Wang M., Hu Y., Chen S., He Q. et al. Neurologic manifestations of hospitalized patients with coronavirus disease 2019 in Wuhan, China // JAMA Neurology. – 2020. – Vol. 77. – P. 683-690. – DOI: 10.1001/jamaneurol.2020.1127.Mao, L., Jin, H., Wang, M., Hu, Y., Chen, S., He, Q. et al. (2020). Neurologic manifestations of hospitalized patients with coronavirus disease 2019 in Wuhan, China. JAMA Neurology, 77, 683-690, DOI: 10.1001/jamaneurol.2020.1127.Fisher M., Neugarten J., Bellin E., Yunes M., Stahl L., Johns T. S. et al. Aki in hospitalized patients with and without Covid-19: a comparison study // Journal of the American Society of Nephrology. – 2020. – Vol. 31. – P. 2145-2157. – DOI: 10.1681/ASN.2020040509.Fisher, M., Neugarten, J., Bellin, E., Yunes, M., Stahl, L., Johns, T. S. et al. (2020). Aki in hospitalized patients with and without Covid-19: a comparison study. Journal of the American Society of Nephrology, 31, 2145-2157, DOI: 10.1681/ASN.2020040509.Dragioti E., Tsartsalis D., Mentis M., Mantzoukas S., Gouva M. Impact of the Covid-19 pandemic on the mental health of hospital staff: an umbrella review of 44 meta-analyses // International Journal of Nursing Studies. – 2022. – Vol. 131. – DOI: 10.1016/j.ijnurstu.2022.104272.Dragioti, E., Tsartsalis, D., Mentis, M., Mantzoukas, S. and Gouva, M. (2022). Impact of the Covid-19 pandemic on the mental health of hospital staff: an umbrella review of 44 meta-analyses, International Journal of Nursing Studies, 131, DOI: 10.1016/j.ijnurstu.2022.104272.Debie A., Khatri R. B., Assefa Y. Successes and challenges of health systems governance towards universal health coverage and global health security: a narrative review and synthesis of the literature // Health Research Policy and Systems. – 2022. – Vol. 20. – P. 50. – DOI: 10.1186/s12961022-00858-7.Debie, A., Khatri, R. B. and Assefa, Y. (2022). Successes and challenges of health systems governance towards universal health coverage and global health security: a narrative review and synthesis of the literature. Health Research Policy and Systems, 20, 50, DOI: 10.1186/s12961-022-00858-7.Fabris M., Del Ben F., Sozio E., Beltrami A. P., Cifu A., Bertolino G. et al. Cytokines from bench to bedside: a retrospective study identifies a definite panel of biomarkers to early assess the risk of negative outcome in Covid-19 patients // International Journal of Molecular Sciences. – 2022. – Vol. 23. – P. 4830. – DOI: 10.3390/ijms23094830.Fabris, M., Del Ben, F., Sozio, E., Beltrami, A. P., Cifu, A., Bertolino, G. et al. (2022). Cytokines from bench to bedside: a retrospective study identifies a definite panel of biomarkers to early assess the risk of negative outcome in Covid-19 patients. International Journal of Molecular Sciences, 23, 4830, DOI: 10.3390/ijms23094830.Krishnan A., Prichett L., Tao X., Alqahtani S. A., Hamilton J. P., Mezey E. et al. Abnormal liver chemistries as a predictor of Covid-19 severity and clinical outcomes in hospitalized patients // World Journal of Gastroenterology. – 2022. – Vol. 28. – P. 570-587. – DOI: 10.3748/wjg.v28.i5.570.Krishnan, A., Prichett, L., Tao, X., Alqahtani, S. A., Hamilton, J. P., Mezey, E. et al. (2022). Abnormal liver chemistries as a predictor of Covid-19 severity and clinical outcomes in hospitalized patients. World Journal of Gastroenterology, 28, 570587, DOI: 10.3748/wjg.v28.i5.570.Olivieri F., Sabbatinelli J., Bonfigli A. R., Sarzani R., Giordano P., Cherubini A. et al. Routine laboratory parameters, including complete blood count, predict Covid-19 in-hospital mortality in geriatric patients // Mechanisms of Aging and Development. – 2022. – Vol. 204. – DOI: 10.1016/j.mad.2022.111674.Olivieri, F., Sabbatinelli, J., Bonfigli, A. R., Sarzani, R., Giordano, P., Cherubini, A. et al. (2022). Routine laboratory parameters, including complete blood count, predict Covid-19 in-hospital mortality in geriatric patients. Mechanisms of Aging and Development, 204, DOI: 10.1016/j.mad.2022.111674.Shiri I., Salimi Y., Pakbin M., Hajianfar G., Avval A. H., Sanaat A. et al. Covid-19 prognostic modeling using Ct radiomic features and machine learning algorithms: analysis of a multi-institutional dataset of 14,339 patients // Computers in Biology and Medicine. – 2022. – Vol. 145. – DOI: 10.1016/j.compbiomed.2022.105467.Shiri, I., Salimi, Y., Pakbin, M., Hajianfar, G., Avval, A. H., Sanaat, A. et al. (2022). Covid-19 prognostic modeling using Ct radiomic features and machine learning algorithms: analysis of a multiinstitutional dataset of 14,339 patients. Computers in Biology and Medicine, 145, DOI: 10.1016/j.compbiomed.2022.105467.Wynants L., Van Calster B., Collins G. S., Riley R. D., Heinze G., Schuit E. et al. Prediction models for diagnosis and prognosis of Covid-19: systematic review and critical appraisal // The BMJ. – 2020. – Vol. 369. – P. 1328. – DOI: 10.1136/bmj.m1328.Wynants, L., Van Calster, B., Collins, G. S., Riley, R. D., Heinze, G., Schuit, E. et al. (2020). Prediction models for diagnosis and prognosis of Covid-19: systematic review and critical appraisal. The BMJ, 369, 1328, DOI: 10.1136/bmj.m1328.Cremades-Martinez P., Parker L. A., ChiletRosell E., Lumbreras B. Evaluation of diagnostic strategies for identifying Sars-Cov-2 infection in clinical practice: a systematic review and compliance with the standards for reporting diagnostic accuracy studies guideline (stard) // Microbiology Spectrum. – 2022. – Vol. 10. – DOI: 10.1128/spectrum.00300-22.Cremades-Martinez, P., Parker, L. A., ChiletRosell, E. and Lumbreras, B. (2022). Evaluation of diagnostic strategies for identifying Sars-Cov-2 infection in clinical practice: a systematic review and compliance with the standards for reporting diagnostic accuracy studies guideline (stard). Microbiology Spectrum, 10, DOI: 10.1128/spectrum.00300-22.

The authors declare that there are no conflicts of interest present.