Get Permission Madhu K R and Ambresh: Clinical profile of acute ischemic stroke in type 2 diabetes mellitus


Introduction

Stroke is the second leading causes of death worldwide and one of the leading causes of disability. The most common cause of stroke is represented by cerebral ischemia and approximately 80% of strokes are due to ischemic cerebral infarction and 20% due to brain haemorrhage.1 Diabetes Mellitus is a very common metabolic disorder and it is an independent risk factor for stroke and is associated with 2 to 6 fold increased risk compared with non-diabetic subjects and worsens survival of patients with acute stroke.

Approximately 20% of patients with Diabetes die from stroke. (2)Stroke is more commonly seen in Males when compared to females.2, 3 The mechanism is believed to be accelerated atherosclerosis, which can affect vessels in many distributions, including small and large vessels.4

“According with TOAST classification is possible to distinguish various subtypes of ischemic stroke: 1) Large Artery Atherosclerosis (LAAS); 2) Cardioembolic Infarct (CEI); 3) Lacunar Infarct (LAC); 4) Stroke of other Determined Aetiology (ODE); 5) Stroke of Undetermined Aetiology (UDE).5 ”Gertler and his colleagues in a population with thrombotic stroke, found overt diabetes in 30% and abnormal glucose tolerance (Fajans and Conn criteria) in 59% of the rest. 6, 7

Glucose intolerance or even fasting hyperglycemia may follow an acute vascular event, and ensuing physical inactivity and poor food intake may lead to continued glucose intolerance. Thus, glucose intolerance in a stroke patient may or may not reflect glycemia prior to the event. Measurement of HbA1C rather than glucose as an indicator of prior glycemia offers a new perspective. The rate of non-enzymic glycosylation of hemoglobin is believed to depend largely or solely on plasma glucose concentration.8 Since the erythrocyte survives about 3 months, HbA1C measurements in patients with normal erythrocyte survival reflect plasma glucose concentrations during that period.

Hence this study is to evaluate the clinical profile of acute ischemic stroke in type 2 Diabetes Mellitus.

Aims and Objectives

To evaluate the clinical profile of acute ischemic stroke in type 2 Diabetes Mellitus.

Materials and Methods

Source of data

The information for the study will be collected from Patients with Acute Ischemic Stroke admitted to BLDEU’S SHRI B. M. PATIL MEDICAL COLLEGE HOSPITAL and RESEARCH CENTRE VIJAYAPUR between December 2016 to June 2018.

Method of collection of data (including sampling procedure if any):

Type of study - Cross sectional study.

With the proportion of stroke 50% at 95%confidence interval & 5%precesion calculated sample size is 64.

It is known that Ischemic stroke accounts for 80%of the Stroke.(67)

n = Z2 *p *(1-p) e2 Z - Z value at 95% Confidence interval. P - proportion rate. E - margin of error.

Hence 64 Ischemic stroke cases will be included in the study.

Statistical analysis

Data will be analysed by

  1. Mean +_SD

  2. Students t test/ Mann whitney U test

  3. Correlation coefficient

Inclusion criteria

  1. All male and female cases of acute ischemic stroke.

  2. Patients of age more than 18yrs.

Exclusion criteria

  1. Patients of age less than 18yrs.

  2. Hemorrhagic stroke.

  3. Transient ischemic attacks.

  4. Subdural/Epidural haematomas

Study design

  1. Estimation of Random blood glucose and HbA1c levels were done at the time of admission.

  2. Patients were scored severity based on NIH stroke scale at the time of admission

  3. Hba1c levels <6% indicates well controlled,6-9% indicates fairly controlled,>9% indicates poorly controlled

  4. Infarct size on CT/MRI scan brain <3cm2 is small,3-5cm2 is moderate and >5cm2 is large infarct.

  5. NIHSS score 0-4 indicates minor stroke, 5-15 indicates mild to moderate, 16-20 indicates severe and 21-42 indicates very severe neurologic impairment.

Results

Table 1

Distribution of patients according to Age (Years)

Age (Years)

No. of patients

Percentage

< 40

1

1.6

40 – 49

8

12.5

50 – 59

12

18.8

60 – 69

22

34.4

70 – 79

13

20.3

80+

8

12.5

Total

64

100.0

[i] In this study, maximum number of patients were in the age group of 60-69 years

[ii] Next commonest age group is 70 - 79

Table 2

Distribution of patients according to Gender

Gender

No. of patients

Percentage

Male

37

57.8

Female

27

42.2

Total

64

100.0

[i] In this study, 57.8% of the cases were male and rest 42.2 were females. There is male preponderance with male : female ratio of 1.36

Table 3

Diabetic status in the study group n=64

HbA1C

No. of patients

Percentage

< 6.00

25

39.1

6.00 - 9.00

16

25.0

9.0+

23

35.9

Total

64

100.0

[i] In this study 39.1% cases were well controlled, 25% were fairly controlled, 35.9% were poorly controlled.

Table 4

Risk factors in our study group

Risk Factors

No. of patients

Percentage

T2DM

13

20.3

T2DM,SM

15

23.4

T2DM,HTN,SM

3

4.7

T2DM,HTN,DYS

5

7.9

T2DM,HTN

18

28.2

T2DM,DYS

7

10.8

T2DM,RHD

2

3.1

T2DM,RVD

1

1.6

Total

64

100.0

[i] In this study, the risk factors were Diabetes mellitus, Hypertension, smoking, Dyslipidemia, Rheumatic heart disease and Retroviral disease.

Table 5

Clinical Presentations in the study group

Motor Deficits

No. of patients

Percentage

Present

64

100

Total

64

100.0

[i] In this study, all 64 patients has motor deficits.

Table 6

Sensory Deficit presentations

Sensory Deficits

No. of patients

Percentage

Present

17

26.6

Absent

47

73.4

Total

64

100.0

[i] In this study, 17 patients has sensory deficits.

Table 7

Distribution of Altered Sensorium

Altered Senosorium

No. of patients

Percentage

Present

19

29.7

Absent

45

70.3

Total

64

100.0

[i] In this study, 19 patients has altered sensorium.

Table 8

Distribution of cranial nerve involvement

Cranial Nerve Involvement

No. of patients

Percentage

Present

35

54.7

Absent

29

45.3

Total

64

100.0

[i] In this study, 35 patients has cranial nerve involvement.

Table 9

Distribution of language Disturbance

Language Disturbance

No. of patients

Percentage

Present

29

45.3

Absent

35

54.7

Total

64

100.0

[i] In this study, 29 patients has language distrubances.

Table 10

Severity of the stroke

Severity

Score

No. of patients

Percentage

Minor stroke

0-4

0

0

Moderate Stroke

5-15

24

37.5

Moderate to Severe

16-20

14

21.9

Severe Stroke

21-42

26

40.6

Total

64

100.0

[i] In this study, moderate stroke is seen in 37.5% of patients, moderate to severe stroke in 21.9% of patients and severe stroke in 40.6% of patients

Table 11

Descriptive Statistics

X

Minimum

Maximum

Mean

Std. Deviation

AGE

35

90

63.59

12.558

NIHSS score

8

35

19.55

7.719

BLOOD glucose on admission

80

420

212.23

88.907

HbA1C

4.50

12.80

7.6766

2.27594

In this study well controlled Diabetes has moderate stroke severity, fairly controlled Diabetes has moderate to severe stroke severity and poorly controlled Diabetes has severe stroke. It is observed that severity of the presenting complaints worsened from well controlled Diabetes to poorly controlled Diabetes. The NIHSS score correlates with the HbA1C, with increase in severity of the stroke from well controlled Diabetes to poorly controlled Diabetes.

Summary

  1. This is an cross sectional study including 64 patients.

  2. Maximum number of patients were in the age group of 60 – 69 years, with mean age of 63.59±12.59 years.

  3. The male to female of 1.37 : 1.

  4. There were 25 patients (39.1%) well controlled Diabetes patients,16(25.0%) fairly controlled and 23 (35.9%)were poorly controlled Diabetic patients.

  5. The common risk factors were Diabetes mellitus, hypertension, smoking, dyslipidemia, Rheumatic heart disease and Retroviral disease.

  6. Commonest clinical presentation was motor weakness.

  7. Others were cranial nerve dysfunction, altered. sensorium, language disturbances, sensory impairment. The severity of the presenting complaints worsened from well controlled diabetes to poorly controlled diabetes.

Conclusion

  1. Commonest clinical presentation was motor weakness (100%)

  2. Others were cranial nerve dysfunction (45.3%), altered sensorium (29.7%), language disturbances (45.3%), sensory impairment (26.6%). The severity of the presenting complaints worsened from well controlled diabetes to poorly controlled diabetes.

  3. Patients with poorly controlled diabetes were found to have increased severity of stroke.Severity of the stroke worsened from well controlled diabetes to poorly controlled diabetes.

Conflict of Interest

The authors declare that there are no conflicts of interest in this paper.

Source of Funding

None.

References

1 

A Tuttolomondo C Maida R Maugeri G Iacopino A Pinto Relationship between diabetes and ischemic stroke: Analysis of diabetes-related risk factors for stroke and of specific patterns of stroke associated with diabetes mellitusDiabetes Metab J2015651710.4172/2155- 6156.1000544

2 

A Nacu L Thomassen A Fromm A Bjerkreim U Andreassen H Naess Impact of Diabetes Mellitus on 1867 Acute Ischemic Stroke Patients. A Bergen NORSTROKE StudyJ Res Diabetes201510.5171/2015.112104

3 

C Vaidya D Majmudar A retrospective study of clinical profile of stroke patients from GMERS Medical College and HospitalInt J Clin Trials2014126268

4 

T Jakobson Glucose Tolerance and Serum Lipid Levels in Patients with Cerebrovascular DiseaseActa Med Scand2018182223343

5 

H Adams H Adams B Bendixen B Bendixen L Kappelle L Kappelle Classification of Subtype of Acute Ischemic StrokeStroke1993241354110.1161/01.str.24.1.35

6 

M M Gertler H E Leetma R J Koutrouby E D Johnson The assessment of insulin, glucose and lipids in ischemic thrombotic cerebrovascular diseaseStroke1975617784

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H A Abu-Zeid N W Choi N A Nelson Epidemiologic features of cerebrovascular disease in Manitoba: incidence by age, sex and residence, with etiologic implicationsCan Med Assoc J1975113537984

8 

H F Bunn K H Gabbay P M Gallop The glycosylation of hemoglobin: relevance to diabetes mellitusScience02002004337217



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Article History

Received : 10-03-2021

Accepted : 15-04-2021


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Article DOI

https://doi.org/ 10.18231/j.ijn.2021.042


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