Authors

  • Manzura M. Yuldasheva
    Researcher Tashkent Pediatric Medical Institute, Tashkent, Uzbekistan

DOI:

https://doi.org/10.37547/ijmscr/Volume03Issue07-10

Keywords:

Features of cognitive dysfunction ischemic stroke Covid-19 status

Abstract

This article discusses the features of cognitive dysfunction in patients with ischemic stroke depending on Covid-19 status. Using the modified TOAST classification, a sample of patients with only ischemic stroke (IS) against the background of previous COVID-19 was made. We were guided by the fact that there are a significant number of multidirectional publications in the literature regarding views on the pathogenesis and clinic of neurological complications in COVID-19, and in order to concretize the study, we analyzed only cases with ischemic stroke in our work.


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Volume 03 Issue 07-2023

55


International Journal of Medical Sciences And Clinical Research
(ISSN

2771-2265)

VOLUME

03

ISSUE

07

P

AGES

:

55-61

SJIF

I

MPACT

FACTOR

(2021:

5.

694

)

(2022:

5.

893

)

(2023:

6.

184

)

OCLC

1121105677















































Publisher:

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ABSTRACT

This article discusses the features of cognitive dysfunction in patients with ischemic stroke depending on Covid-19

status. Using the modified TOAST classification, a sample of patients with only ischemic stroke (IS) against the

background of previous COVID-19 was made. We were guided by the fact that there are a significant number of

multidirectional publications in the literature regarding views on the pathogenesis and clinic of neurological

complications in COVID-19, and in order to concretize the study, we analyzed only cases with ischemic stroke in our

work.

KEYWORDS

Features of cognitive dysfunction, ischemic stroke, Covid-19 status.

INTRODUCTION

COVID-19 increases the likelihood of developing

ischemic stroke (IS), increasing the rates of disability

and mortality in the population. It was revealed that

COVID-19 provokes a stroke even in healthy young

people, it is more severe and 5-10 times more likely to

lead to death. Thus, the average mortality from stroke

is usually 5-10%. In patients with COVID-19, it was at the

level of 42% (8.9). Observations show that SARS-CoV

and SARS-CoV-2, which leads to the frequent

development of strokes with a certain change in the

levels of neurotrophic markers, in particular BDNF, is

also characterized by the expression of certain

molecular sequences that act as ACTH mimics. Thus, a

patient’s antibodies to SARS

-CoV and SARS-CoV-2 can

Research Article

FEATURES OF COGNITIVE DYSFUNCTION IN PATIENTS WITH ISCHEMIC
STROKE DEPENDING ON COVID-19 STATUS

Submission Date:

July 20, 2023,

Accepted Date:

July 25, 2023,

Published Date:

July 30, 2023

Crossref doi:

https://doi.org/10.37547/ijmscr/Volume03Issue07-10


Manzura M. Yuldasheva

Researcher Tashkent Pediatric Medical Institute, Tashkent, Uzbekistan

Journal

Website:

https://theusajournals.
com/index.php/ijmscr

Copyright:

Original

content from this work
may be used under the
terms of the creative
commons

attributes

4.0 licence.


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Volume 03 Issue 07-2023

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International Journal of Medical Sciences And Clinical Research
(ISSN

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VOLUME

03

ISSUE

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55-61

SJIF

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MPACT

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(2021:

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(2023:

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184

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OCLC

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destroy ACTH, decreasing its levels and increasing

cortisol levels (7,10).

That is why the problem of studying the dynamics of

neurological deficit and cognitive functions in the early

recovery period in post-COVID patients with IS and

optimizing therapy becomes of national importance

and urgent need.

THE PURPOSE OF THE STUDY

Assess cognitive deficits in patients with ischemic

stroke depending on COVID-19 status.

MATERIAL AND RESEARCH METHODS

The presented research work was carried out at the

Department of Nervous Diseases of the Regional

Vascular Center at the Federal State Budgetary

Institution NSO City Clinical Hospital No. 1 in the period

from 2020 to 2022. Based on international criteria, we

diagnosed CVA as “focal or diffuse impairment of br

ain

function of cerebrovascular origin lasting at least 24

hours or leading to death in a shorter period of time”

[3].

Using the modified TOAST classification [3], a sample

of patients with only ischemic stroke (IS) against the

background of previous COVID-19 was made. We were

guided by the fact that there are a significant number

of multidirectional publications in the literature

regarding views on the pathogenesis and clinic of

neurological complications in COVID-19, and in order to

concretize the study, we analyzed only cases with

ischemic stroke in our work.

The diagnosis of COVID-19 was made according to the

“Temporary recommendations for the management of

patients infected with a new coronavirus infection

COVID-

19” of the Ministry of Health of the Repu

blic of

Uzbekistan, version 8 [1]. This paper indicates that the

World Health Organization (WHO) in January 2020

updated the section of ICD-

10 “Codes for use in

emergencies”, adding a special code for COVID

-19 -

U07.1 [1].

The main group (MG) consisted of 165 patients with

ischemic stroke against the background of previous

COVID-19 (IS + COVID-19) (98 men and 67 women),

mean age 52.4±10.9 years. The comparison group (CG)

consisted of 85 patients with ischemic stroke without

IS and no history of COVID-19 (46 men and 39 women),

mean age 65.9±4.8 years. The control group (CG)

included relatively healthy individuals (n=20; mean age

52.4±6.5 years; gender index 1.0:1.0) (Table 1).

Table 1. Distribution of subjects by groups


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groups

Gender
index

men

women

total

n

%

n

%

n

%

main group
(MG)

1,46*

98

59,4%*

67

40,6%*

165

61,1%

comparison
group (GS)

1,18

46

54,1%

39

45,9%

85

31,5%

control
group (CG)

1,00

10

50,0%

10

50,0%

20

7,4%

Total

1,33

154

57,0%

116

43,0%

270

100,0%

Note: *- reliability p>0.05 between MG and CG.

To study auditory-

speech memory, the Luria test “10

words” was used, the Schulte method was used to

assess the stability of attention and performance, and

the MMSE scale was used to determine cognitive

deficit.

Statistical processing of clinical and instrumental

materials in accordance with the recommendations for

processing the results of biomedical research at a

significance level of p<0.05 was carried out using the

practical statistical package STATISTICA.

Research results. Complaints about memory disorder

in the form of forgetfulness were presented by 58.0%

of patients, while an objective study revealed memory

loss in 84.8% of cases. Memory impairments were

predominantly modal-nonspecific in nature and were

primarily due to pathological inhibition of traces by

interfering influences. The degree of impairment

varied from mild (71.6%) to moderate (20.0%) severity.

Mild disturbances were found only with the use of

sensitized samples. The absence of mnestic disorders

was recorded in 8.4% of cases.

In

the study of memory according to the Luria test “10

words”, a significant difference was revealed between

the number of reproduced words between groups -

CG, OG and GS in the time period of 10 and 20 minutes

(Table 2).

Table 2

The average number of words on the test for memorization is 10 words (according to Luria A.R.)


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Test “10 words”

Luria

MG

CG

CG

AT

CE

LI

AT

CE

LI

1

st

attempt

4,9±2,1

5,0±1,0

5,1±1,0

5,2±0,3

5,4±1,0

5,8±1,25

6,2±0,25

2

nd

attempt

5,0±1,8

6,5±0,6

7,0±0,9

4,7±0,29

7,1±1,9

7,2±0,8

7,5±0,9

3

rd

attempt

6,1±1,3

7,1±0,8

8,4±0,5

4,0±0,29

7,4±0,5

8,0±0,5

6,3±0,24

4

th

attempt

5,7±1,5

7,5±1,4

8,2±0,4

6,1±0,21

8,2±0,4

8,0±0,7

8,1±0,8

5

th

attempt

5,2±1,1

6,3±2,2

7,1±1,7

5,1±0,26

7,1±1,7

7,6±0,8

7,1±1,2

Delayed playback

4,0±1,3

6,0±1,5

6,8±1,3

4,3±0,28

6,8±1,3

7,0±0,5

6,7±1,8

When conducting a test for memorization of 10 words,

a slight decrease in memorization productivity was

noted compared to the control, the patients reach the

maximum results after 5-6 repetitions, while the

persons of the control group - after 3-4 repetitions

(Table 2).

In 98.0% of cases, modal-nonspecific disorders of

voluntary attention were also detected. The

memorization curve in the 10-word test reflected the

insufficiency of activation support, a decrease in the

concentration of voluntary attention, and its increased

exhaustion.

Noteworthy is the relative preservation of the volume

of short-term memory in the GS with a slight decrease

in long-term memory, which indicates the absence of

pronounced disturbances in the phase of direct

reproduction. The number of errors is comparable to

the control group.

The reproduction of numerical series in the control

group was better compared to patients who

underwent COVID-19, this difference was significantly

significant (p=0.04). Reproduction of numerical series

in direct order in patients with CG and MG was

impaired to a greater extent than in CG, these

differences were more pronounced in patients with AT

subtype IS. The revealed changes in patients with

different groups had a statistically significant

difference when comparing some indicators.

Table 3

Test results according to the Schulte method


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Schulte table

MG

CG

CG

AT

CE

LI

AT

CE

LI

1

67±11,8

63±8,7

42,6±5,3

56,8±1,6

57,8±2,3

41,6±9,0

42±5,7

2

66±8,5

71±9,0

46,8±2,7

52,7±2,3

53,7±1,8

40,0±6,4

45±2,4

3

68±10,3

76±9,3

49,3±3,8

51,6±2,8

56,9±2,3

48±10

47±3,5

4

73±12,5

75±16,4

54,2±2,1

50,0±1,9

58,1±1,6

55±5,7

52±2,8

5

70±7,9

79±10,8

53,5±2,7

58,1±1,3

62,7±2,4

48±4,5

50±2,2

After analyzing the assessment of the stability of attention and performance according to the Schulte method (Table

3), we found a fairly large variability in the data. The studied groups of patients who underwent COVID-19 significantly

differed in the efficiency of work with the control group (p = 0.001). The scatter in the time of passing the Schulte

tables in patients of the MG and CG increased with the increase in the complexity of the task.

Table 4. MMSE results, %

IO degrees

Lungs IO

Moderate IO

total

AT

22

52,4%

20

47,6%

42

MG

CE

24

66,7%

12

33,3%

36

LI

35

77,8%

10

22,2%

45

Total MG

81

65,9%

42

34,1%

123

AT

17

68,0%

8

32,0%

25

CG

CE

13

68,4%

6

31,6%

19

LI

10

76,9%

3

23,1%

13

Total CG

40

70,2%

17

29,8%

57

Note: hereinafter * - significant differences between the CG and groups.

# - difference between MG and CG groups.

The exhaustion of attention according to the method

of Schulte's tables in LI in MG and CG and in healthy

people fluctuated in the same ranges, while in patients

with AT of both groups, a dependence was observed,

in which exhaustion increased as the test was

performed. Patients with AT MG also had a tendency

to exhaustion of attention during the test, but not as

pronounced as in AT MG. The work efficiency of

patients with HC was 57.3%, MG - 49.5%.

The severity of IO on the MMSE scale in patients was

studied depending on the subtype of IS. As can be seen

from Table 4.10, in the MG and CG of patients with

moderate IO, it was significantly higher compared to


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the CG. Also, significant differences in the score

severity of MCI according to the MMSE scale was

significantly higher in patients with MG compared with

CG (Table 4).

According to the results of other researchers,

moderate cognitive impairment (MCD) was more

common in patients with MG compared with CG - 34.1%

and 29.8%, respectively (p<0.05). Patients with AT of

both groups had MCI more often in comparison with

CE and LI (v.4.10). Distinctive characteristics of MCI in

different subtypes of IS can be explained by damage to

different areas of the cerebral cortex [2,4,5].

When conducting a correlation analysis, the following

was revealed - the severity of the severity of COVID-19

correlated

with

more

pronounced

cognitive

impairment. The results of neuropsychological testing

of patients who underwent COVID-19 were compared

with modern criteria for pre-dementia disorders

[6,7,8]. The structure of cognitive disorders (CG) in

patients with COVID-19 was significantly dominated by

MCI, which, according to the study with changes in

severity, were more pronounced (p<0.05).

CONCLUSION

According to the results of neuropsychological testing,

the overall severity of CR in COVID-19 (according to the

MMSE scales and the 10-word test according to Luria)

was significantly higher in groups II and III. Moreover,

in patients with AT, MCI was detected more often than

in patients with CE or LI (p<0.05).

From the foregoing, it follows that the identified

intergroup differences are statistically significant.

Recovery of long-term memory is more intense with

mild COVID-19.

Changes in the cognitive status were of a wave-like

nature: improvement - worsening - improvement with

an increase in positive dynamics, which subsequently

consolidated and acquired a stable character. Given

that the process of transferring information from

short-term memory to long-term memory is

accompanied by functional and structural changes

supported by the acetylcholinergic system. When

conducting a correlation analysis, the following was

revealed - the severity of the severity of COVID-19

correlated

with

more

pronounced

cognitive

impairment. The results of neuropsychological testing

of patients who underwent COVID-19 were compared

with modern criteria for pre-dementia disorders [9,10].

The structure of cognitive disorders (CD) in patients

with COVID-19 was significantly dominated by MCI,

which, according to the study with changes in severity,

were more pronounced (p<0.05).

In conclusion, we can confidently say that

neuropsychological examinations are important

methods for assessing the state of higher mental

functions in patients who have undergone COVID-19


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and allow assessing the degree of involvement of the

affected parts of the brain in the pathological process,

as well as the functional state of the brain as a whole.

The study showed differences in neuropsychological

parameters depending on the subtypes of IS;

significantly more pronounced SI was observed in AT,

in contrast to patients with CE and LI. Moreover, the

indicators on the MMSE scale in AT were also

significantly lower than the corresponding indicators

of those examined with CE and LI. It should be assumed

that patients with atherosclerosis are at risk for

developing CR with COVID-19.

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Akilov H. et al. Interim guidelines for the

management of patients infected with COVID-

19 (Version 10). Ministry of Health of the

Republic of Uzbekistan and the National

Chamber of Health of the Republic of

Uzbekistan, January 2022.

2.

Vakhnina N.V. Prevention and treatment of

post-stroke cognitive impairment. Effective

Pharmacotherapy, 2014. 42. Neurology and

Psychiatry 4: 32-39.

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Vilensky, B. S. Stroke - the current state of the

problem / B. S. Vilensky // Neurological journal.

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Levin O.S., Usoltseva N.I., Dudarova M.A.

Cognitive impairment in the early recovery

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Kalaria RN, Akinyemi R, Ihara M. Stroke injury,

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Hampshire A., Trender W., Chamberlain S. et al.

Cognitive deficits in people who have

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10.1016/j.eclinm.2021.101044.

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Rasquin SM, Verhey FR, van Oostenbrugge RJ,

et al. Demographic and CT scan features

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Zhou L., Zhang M., Wang J., Gao J. SARS-CoV-2:

underestimated damage to nervous system.

Travel Med Infect Dis. 2020;1:101642. DOI:

10.1016/j.tmaid.2020.101642

References

Akilov H. et al. Interim guidelines for the management of patients infected with COVID-19 (Version 10). Ministry of Health of the Republic of Uzbekistan and the National Chamber of Health of the Republic of Uzbekistan, January 2022.

Vakhnina N.V. Prevention and treatment of post-stroke cognitive impairment. Effective Pharmacotherapy, 2014. 42. Neurology and Psychiatry 4: 32-39.

Vilensky, B. S. Stroke - the current state of the problem / B. S. Vilensky // Neurological journal. - 2008. - No. 2. - P. 4–10.

Zakharov V.V., Vakhnina N.V. Stroke and cognitive impairment. Neurology, neuropsychiatry and psychosomatics, 2011. 2: 8-16.

Levin O.S., Usoltseva N.I., Dudarova M.A. Cognitive impairment in the early recovery period of ischemic stroke. Russian Medical Journal,2009. 4: 20-24.

Kalaria RN, Akinyemi R, Ihara M. Stroke injury, cognitive impairment and vascular dementia. Biochim Biophys Acta. 2016;1862(5):915-925. https://doi.org/10.1016/j.bbadis.2016.01.015.

Hampshire A., Trender W., Chamberlain S. et al. Cognitive deficits in people who have recovered from COVID-19 relative to controls: An N=84,285 online study. E Clinical Medicine. 2021;39:101044. DOI: 10.1016/j.eclinm.2021.101044.

Ellul M.A., Benjamin L., Singh B. et al. Neurological associations of COVID-19. Lancet Neurol. 2020;19(9):767–783. DOI: 10.1016/S1474-4422(20)30221-0.

Rasquin SM, Verhey FR, van Oostenbrugge RJ, et al. Demographic and CT scan features related to cognitive impairment in the first year after stroke. J Neurol Neurosurg Psychiatry, 2004. 75: 1562-1567.

Zhou L., Zhang M., Wang J., Gao J. SARS-CoV-2: underestimated damage to nervous system. Travel Med Infect Dis. 2020;1:101642. DOI: 10.1016/j.tmaid.2020.101642