Comorbidity profile in chronic brain ischemia on the background of multifocal atherosclerosis.

Authors

DOI:

https://doi.org/10.26641/2307-0404.2019.4.189299

Keywords:

chronic brain ischemia, risk factors, comorbidity, Charlson’s comorbidity index modified

Abstract

Aim to evaluate the comorbidity profile in patients with chronic cerebral ischemia on the background of multifocal atherosclerosis. The study included 137 patients aged 40 to 84 years with chronic cerebral ischemia (CСI) on the background of multifocal atherosclerosis, which were divided into three clinical groups depending on the localization of vascular lesions by stenosing atherosclerosis. The co-morbidity profile and severity were evaluated using the Charlson’s index in modification of R.A. Deyo (1992). In CCI patients, regardless of the combination of vascular basins affected by atherosclerosis, a severe degree of comorbidity prevailed - the Charlson’s comorbidity index (IC) was predominantly > 5 points (84.7% of cases). In the analysis of IC in age categories, depending on the combination of atherosclerotic lesions of the vascular basins, it was found that comorbidity of severe degree (IC> 5) was predominantly represented by patients of the older age group (60-74 years), and comorbidity of moderate severity (IC≤5) – patients of middle age group (45-59 years). A median difference of 3 points in assessing the mean value of age-matched comorbidity index showed that age, as a non-modifiable risk factor, in 1/3 cases determines the comorbidity index, which depends on the number of vascular basins affected by atherosclerosis. In 2/3 of the cases it is a modified comorbid pathology. Assessment of IC in clinical groups, taking into account the nature of the disease course (p <0.05), showed a correlation between the number of atherosclerosis affected by vascular basins, the severity of the clinical course of CCI and the severity of comorbidity. The severity of comorbidity, as measured by the Charlson’s index modified by R.A. Deyo, depends on age and determines the nature of the atherosclerotic lesion, as well as the severity of the clinical course of CCI. Assessing the profile and severity of comorbidity makes it possible to influence the nature of the development and course of brain ischemia, which is caused by systemic atherosclerotic lesions of the vascular system.

Author Biographies

L. А. Dzyak

SE «Dnipropetrovsk medical academy of Health Ministry of Ukraine»
Department of Nervous Diseases and Neurosurgery FPE

О. А. Rosytska

Department of Family Medicine FPE 2
V. Vernadsky str., 9, Dnipro, 49044, Ukraine

References

Abrahamovych OO, Faiura OP, Abrahamo­vych UO. [Comorbidity: a modern perspective on the problem; classification (message second)]. Lvivskyi klinichnyi visnyk. 2016;1:31-39. Ukrainian. doi: https://doi.org/10.25040/lkv2016.01.031

Vertkin AL, Rumyantsev MA, Skotnikov AS. [Comorbidity]. Klinicheskaya meditsina. 2012;10:4-11. Russian.

Evtushenko SK, Dyuba DSh. [Treatment and pre­vention of cognitive impairment in patients with chronic cerebrovascular accident]. Mezhdunarodnyy nevro­logicheskiy zhurnal. 2013;4(58):67-70. Russian.

Nesen AO. [Comorbid pathological conditions in patients with high cardiovascular risk]. Ukrainskyi zhur­nal medytsyny, biolohii ta sportu. 2016;2:147-50. Ukrainian. doi: https://doi.org/10.26693/jmbs01.02.147

Ovsyannikova NA, Ar'ev AL, Zhulev NM. [Cere­brovascular disease and comorbid conditions – a new view of the problem]. Vestnik Sankt-Peterburgskogo uni­versiteta. Seriya 11. Meditsina. 2011;2:147-54. Russian.

Concept: Charlson Comorbidity Index. Concept Description. [updated 2016.01.22]. Available from: http://mchp-appserv.cpe.umanitoba.ca/viewConcept.php?pri­nter=Y&conceptID=1098

Deyo Richard A, Daniel C Cherkin, and Marcia A Ciol. Adapting a clinical comorbidity index for use with ICD-9-CM administrative databases. Journal of clinical epidemiology. 1992;45(6):613-9. doi: https://doi.org/10.1016/0895-4356(92)90133-8

Castro Herbert HG, et al. Multimorbidities are associated to lower survival in ischaemic stroke: results from a Brazilian stroke cohort (EMMA study). Cerebro­vascular Diseases 2017;44(3-4):232-9. Available from: https://www.karger.com/Article/Pdf/479827. doi: https://doi.org/10.1159/000479827

Pati, Sanghamitra, et al. Pattern and severity of multimorbidity among patients attending primary care settings in Odisha, India. PloS one 12.9. 2017;e0183966. doi: https://doi.org/10.1371/journal.pone.0183966

Michelle LA Nelson, et all. Stroke rehabilitation evidence and comorbidity: a systematic scoping review of randomized controlled trials. Topics in Stroke Rehabi­litation. 2017;.24(5):374-80 doi: https://doi.org/10.1080/10749357.2017.1282412

Yang CC, et al. Validity of the age-adjusted char­lson comorbidity index on clinical outcomes for patients with nasopharyngeal cancer post radiation treatment: a 5-year nationwide cohort study. PLoS One. 2015;10(1):e0117323. Available from: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0117323. doi: https://doi.org/10.1371/journal.pone.0117323

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How to Cite

1.
Dzyak LА, Rosytska ОА. Comorbidity profile in chronic brain ischemia on the background of multifocal atherosclerosis. Med. perspekt. [Internet]. 2019Dec.26 [cited 2024May6];24(4):74-83. Available from: https://journals.uran.ua/index.php/2307-0404/article/view/189299

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CLINICAL MEDICINE