Indian Journal of Pharmacy and Pharmacology

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Indian Journal of Pharmacy and Pharmacology (IJPP) open access, peer-reviewed quarterly journal publishing since 2014 and is published under auspices of the Innovative Education and Scientific Research Foundation (IESRF), aim to uplift researchers, scholars, academicians, and professionals in all academic and scientific disciplines. IESRF is dedicated to the transfer of technology and research by publishing scientific journals, research content, providing professional’s membership, and conducting conferences, seminars, and award programs. With more...

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Get Permission Femi S V, Nath, Prasannan, Maniyath, Rani, Kumar, Smita, and Padma: A comparative study on risk factors, clinical presentation, recovery rates and cost burden of patients with ischemic and hemorrhagic stroke


Introduction

A cerebrovascular accident (CVA) is an acute disruption of cerebral blood flow. Approximately 85% of cases are ischemic (caused by blockages), and 15% are hemorrhagic (resulting from blood vessel ruptures). Early recognition and timely treatment are critical to minimizing morbidity and mortality. 1, 2, 3

Types of stroke

  1. Ischemic Stroke: The most common type, caused by blood clots obstructing blood vessels, preventing oxygen and nutrients from reaching the brain. Subtypes include:

    1. Embolic Stroke: Blood clots traveling from other body parts to the brain.1

    2. Thrombotic Stroke: Blood clots forming directly within the brain’s blood vessels. 1

  2. Hemorrhagic Stroke: Caused by the rupture of blood vessels, leading to bleeding within the brain. Common causes include aneurysms and arteriovenous malformations (AVMs).1, 2

Symptoms

  1. Ischemic Stroke: Sudden dizziness, headache, nausea, vomiting, double vision, trembling, poor coordination, difficulty speaking or swallowing, and unconsciousness. 3, 4

  2. Hemorrhagic Stroke: Sudden severe headache, loss of consciousness, nausea, vomiting, dizziness, balance issues, confusion, and unilateral weakness or numbness.3, 5, 6

Risk factors

  1. Modifiable: High blood pressure, smoking, high cholesterol, diabetes, obesity, physical inactivity, excessive alcohol use, and drug misuse. 1, 2

  2. Non-modifiable: Age (55+ years), race (African, American, Hispanic), sex (higher risk in males), and family history. 4, 7

Diagnosis

Physical examinations and diagnostic tools such as blood tests, carotid ultrasound, angiography, computed tomography (CT)/magnetic resonance imaging (MRI) scans, echocardiograms, and electrocardiograms (ECGs) are used to identify the type and location of a stroke. 1, 2, 8

Treatment

Ischemic stroke

  1. Medications: Tissue plasminogen activator (tPA) (within 3-4.5 hours), anticoagulants like aspirin or clopidogrel.1, 9, 10

  2. Procedures: Thrombectomy, angioplasty, stenting, or carotid endarterectomy.8

Hemorrhagic stroke

  1. Medications: Blood pressure management, cessation of anticoagulants, and administration of vitamin K. 10, 8

  2. Procedures: Aneurysm surgery, coil embolization, drainage of excess fluid, or treatment of AVMs. 1, 8, 6

Rehabilitation and RecoveryRecovery often involves a multidisciplinary team comprising physicians, nurses, therapists, social workers, and psychologists. Interventions include:

  1. Physical Therapy: To restore movement and strength 11, 12, 13

  2. Occupational Therapy: To assist with activities of daily living 12, 13

  3. Speech and Language Therapy: To improve communication and swallowing functions 12, 13

  4. Cognitive and Emotional Support: Addressing memory deficits, depression, and anxiety 11, 7, 5, 3, 12, 13

Materials and Methods

Sources of data and materials

  1. Patient case sheet.

  2. Medication chart.

  3. Laboratory data.

  4. Progress reports.

  5. Neurological assessment reports (standardized and self-designed) .

  6. Suitable self-designed data collection form.

Inclusion criteria

  1. Inpatients diagnosed with CVA in the neurological department

  2. Patients of either sex above 18 yrs of age

Exclusion criteria

Pregnant and lactating women.

Method of collection of data

A comparative study was conducted on the patients according to the inclusion criteria after obtaining the consent form. All the inpatients were reviewed daily for their progress. The Patient demographic details such as name, age, gender, weight, educational status, lifestyle, economic status, social status, date of admission, complaints on admission, history of previous, comorbidities illness and medication, social history, nutritional data , progress data were collected.

The patient data were collected from medical records and the recovery data were collected from the progress charts and interviewing the patient with open ended questions. Collected data were recorded in a self-designed patient data collection form and were assessed by neurological assessment charts and with standard neurological assessment and stroke severity assessment scale (Glasgow coma scale, NIH stroke scale).

The data collected included the data obtained from the doctor’s notes, nurses notes, physiotherapists notes, nutritional assessment reports, laboratory investigational reports, drug interaction charts, adverse drug reaction charts and through open ended questions.

Statistical analysis

Data were collected and entered into Microsoft Excel 2019 software and interpreted with descriptive statistics which then provided for analysis of the report and expressed as counts and percentages in the form of tables, charts and graphs.

Statistical analysis of the collected data was done using IBM SPSS version 26 statistical software.

Ethical clearance

The study was ethically approved by the study site's ethics council. The research was conducted using officially sanctioned surveillance data for analysis purposes.

Results

Categorization of patients based on the type of stroke.

A total of 300 patients were enrolled, with 129 (43%) diagnosed with hemorrhagic stroke and 171 (57%) with ischemic stroke. Ischemic stroke cases were notably higher than hemorrhagic (Table 1).

Table 1

Categorization of patients based on the type ofstrokes.

Type of Stroke

Number of stroke patients

Percentage (%)

Haemorrhagic stroke

129

43

Ischaemic stroke

171

57

Total

300

100

Categorization of patients based on their age

Patients were divided into seven age categories, ranging from 35 to 105 in intervals of 10 years. Among the 300 patients, those aged 65-75 had the highest stroke incidence, while those aged 95-105 had the lowest (Table 2).

Table 2

Categorization of patients based on the age.

Patient,s age Categorization

Frequency

Percentage (%)

35-45

22

7.3

45-55

44

14.7

55-65

75

25.0

65-75

84

28.0

75-85

56

18.7

85-95

18

6.0

95-105

1

0.3

Grand Total

300

100

Comparative categorization of patients based on their age

Among the 300 patients, the 65-75 age group had the highest stroke incidence, with 35% in hemorrhagic and 49% in ischemic strokes. The 95-105 age group had the lowest, with only 0.58% in ischemic strokes (Table 3).

Table 3

Comparative categorization of patients based on the age.

Patient,s Age

Frequency

Haemorrhagic

Percentage (%)

Ischaemic

Percentage (%)

35-45

22

8

6.2

14

8.19

45-55

44

26

20.2

18

10.53

55-65

75

33

25.6

42

24.56

65-75

84

35

27.1

49

28.65

75-85

56

20

15.5

36

21.05

85-95

18

7

5.4

11

6.43

95-105

1

0

0.0

1

0.58

Grand Total

300

129

100

171

100

Categorization of patients based on their gender

Of the 300 patients enrolled, 66% were male, showing a higher diagnostic rate for cerebrovascular accidents compared to females at 34% (Figure 1).

Figure 1

Categorization of patients based on the gender

https://s3-us-west-2.amazonaws.com/typeset-prod-media-server/af7908f2-76fb-498b-81dc-00fdbe571b75image1.png

Comparative categorization of patients based on their gender

In comparing stroke types, hemorrhagic stroke showed a higher prevalence in males (75.2%) than females (24.8%). For ischemic stroke, males also had a higher rate (59.06%), while females accounted for 48.54% (Table 4).

Table 4

Comparative categorization of patients based on gender

Gender

Freq- ueny

Haem- orrhagic

Perce- ntage (%)

Ischaemic

Perce- ntage (%)

Male

198

97

75.2

101

59.06

Female

102

32

24.8

70

40.94

Total

300

129

100

171

100

Categorization of patients based on the length of hospital stay

Among the 300 patients, 9 had the longest hospital stays (3%), while 15 had the shortest (5%). The most common length of stay was 7 days, with 62 patients (20.7%), followed by 9 days (59 patients, 19.7%) and 10 days (44 patients, 14.7%). Other notable stays included 8 days (40 patients, 13.3%), 6 and 11 days (22 patients each, 7.3%), and shorter stays of 5 days (15 patients, 5%). The fewest stays were 13-15 days, representing under 3% each (Table 5).

Table 5

Categorization of patients based on the length of stay in hospital

Number of days

Number of patients

Percentage

5

15

5.0

6

22

7.3

7

62

20.7

8

40

13.3

9

59

19.7

10

44

14.7

11

22

7.3

12

14

4.7

13

7

2.3

14

6

2.0

15

9

3.0

Grand Total

300

100.0

Comparative categorization of patients based on the length of hospital stay

In ischemic stroke (171 patients), 1.75% had the longest stay, 7.60% the shortest, and 7 days was the most frequent duration (24.57%). In hemorrhagic stroke (129 patients), 4.65% had the longest stay, 1.55% the shortest, and 8 days was most frequent (20.15%). Ischemic strokes had higher enrollment with shorter frequent stays (Figure 2).

Figure 2

Length of hospital stay

https://s3-us-west-2.amazonaws.com/typeset-prod-media-server/af7908f2-76fb-498b-81dc-00fdbe571b75image2.png

Comparative categorization of patients with and without comorbidities

Out of the patients being enrolled in the study, on comparison between Haemorrhagic and Ischaemic strokes , out of the 129 Haemorrhagic patients , 33 (25.58 %) patients were seen without comorbidities and 96 (74.42%) patients were seen with comorbidities (Figure 3).

Figure 3

Comparative categorization of patients with and without comorbidities.

https://s3-us-west-2.amazonaws.com/typeset-prod-media-server/af7908f2-76fb-498b-81dc-00fdbe571b75image3.png

CNS examination of patients being enrolled

On admission, 286 patients were alert, 267 had anxiety, 131 had sensory neglect, 106 were lethargic, and 124 showed right-left confusion. Language, attention, and memory issues were seen in 130, 138, and 133 patients, respectively (Table 6).

Table 6

CNS examination of patients being enrolled

Cns examination

Count

Type

Count of mental status examination

286

Alert and awake

Count of mood

267

Anxiety

Count of neglect and constrictions

131

Sensory neglect

Count of consciousness

106

Lethargic

Count of others

124

Right left confusion

Count of language

130

Comprehension

Count of orientation

138

Attention

Count of memory

133

Recent memory

Possible risk factors observed in patients

Heart diseases (e.g., atrial fibrillation, 20.8%) were major risk factors, with high BP and diabetes common in hemorrhagic stroke. Lifestyle factors like obesity, and smoking were more significant in ischemic stroke, highlighting lifestyle’s role in stroke risk (Table 7).

Table 7

Possible risk factors observed in patients

Risk factor

Yes

%

NO

%

High BP

114

49.1

15

57.7

Diabetes

118

50.9

11

42.3

Coronary Heart Disease

55

13.9

74

19.6

Atrial Fibrillation

110

27.8

19

5.0

Heart Valve Disease

44

11.1

85

22.5

Carotid Artery Disease

69

17.4

60

15.9

High LDL

65

16.4

64

16.9

Brain Aneurysms/AVMs

53

13.4

76

20.1

Lupus

58

26.4

71

24.0

RA

34

15.5

95

32.1

COVID-19

36

16.4

93

31.4

Age

92

41.8

37

12.5

Young Man

31

23.0

98

25.7

Women on Birth Control/Hormone Therapy

13

9.6

116

30.4

Race and Ethnicity

19

14.1

110

28.9

Family History and Genetics

72

53.3

57

15.0

Depression

4

2.3

125

36.4

High Stress Levels

6

3.5

123

35.9

Air Pollution Exposure

88

50.9

41

12.0

Bleeding Disorders

17

5.9

112

18.3

Sleep Apnoea

18

6.2

111

18.1

Kidney Disease

53

18.3

76

12.4

Migraine Headaches

46

15.9

83

13.5

Sickle Cell Disease

56

19.3

73

11.9

Blood Thinners

48

16.6

81

13.2

Overweight and Obesity

52

17.9

77

12.6

Unhealthy Eating

78

12.9

78

23.9

Physical Inactivity

95

15.7

34

10.4

Alcohol Consumption

98

16.2

31

9.5

Oversleeping

70

11.6

59

18.1

Drug Use

84

13.9

45

13.8

Smoking

99

16.4

30

9.2

Other Factors

80

13.2

49

15.0

Pre-assessment of stroke severity

Among 171 ischemic stroke patients, admission showed severe impairment in most (120 NIH, 104 artery occlusion, 106 comatose). At discharge, 161 had minor strokes (NIH), 156 no occlusion, and 165 were normal (MMSE) (Figure 4).

Figure 4

Pre-assessment of stroke severity

https://s3-us-west-2.amazonaws.com/typeset-prod-media-server/af7908f2-76fb-498b-81dc-00fdbe571b75image4.png

Post assessment of stroke severity

At discharge, 171 ischemic stroke patients showed significant improvement: 161 had minor strokes (NIH), 156 had no artery occlusion (Standard Scale), 164 showed the best response (Glasgow), and 165 were normal (MMSE) (Figure 5).

Figure 5

Post Assessment of stroke severity.

https://s3-us-west-2.amazonaws.com/typeset-prod-media-server/af7908f2-76fb-498b-81dc-00fdbe571b75image5.png

Comparison of pre and post stroke severity

  1. Pre-Assessment of Stroke Severity: Upon admission of 171 ischemic stroke patients, 120 exhibited severe impairment on the NIHSS, 104 had artery occlusion, and 106 were comatose.

  2. Post-Assessment of Stroke Severity: At discharge, 161 patients had minor strokes on the NIHSS, 156 showed no artery occlusion, and 165 were assessed as normal on the MMSE, indicating significant recovery.

Drug interactions with percentage

On the study performed, total of 42 drug interactions were reported . 9 Major drug - drug interactions with 21.4% has been reported which is been followed by 30 minor drug - drug interactions with 71.4% and the least of it being the moderate drug - drug interactions with 7.1% reported in 3 patients (Figure 6).

Figure 6

Drug interactions

https://s3-us-west-2.amazonaws.com/typeset-prod-media-server/af7908f2-76fb-498b-81dc-00fdbe571b75image6.png

Comparison of cost burden in patients with hemorrhagic and ischemic stroke

The cost burden comparison between hemorrhagic and ischemic stroke patients showed a higher burden in ischemic stroke, though no significant statistical difference was observed between the two types of stroke (Table 8).

Table 8

Comparison of cost burden in patients withhemorrhagic and ischemic stroke

Statistics for Hemorrhagic Stroke

Variables

Medical cost /day

Non - medical cost

Total cost (investigational reports )

Total medical cost

Total cost burden of the patient

Total patients enrolled.

300

300

300

300

300

Sum

173803

3591140

3087424.0

1439837

8123031

Statistics for Ischemic Stroke

Variables

Medical cost /day

Non - medical cost

Total cost(investigational reports )

Total medical cost

Total cost burden of the patient

Total patients enrolled .

300

300

300

300

300

Sum

183803

3591140

3047424.0

1539837

8124031

Discussion

Stroke remains a leading cause of morbidity and mortality globally, highlighting the need for better understanding and management. This study provides valuable insights into ischemic and hemorrhagic stroke profiles, severity, and recovery. Our findings show that ischemic strokes (57%) are more prevalent than hemorrhagic strokes, in line with global trends, and age, especially 65-75 years, is a significant risk factor. The higher incidence of stroke in males (66%) supports previous studies on gender differences in stroke types.

Ischemic stroke patients generally had shorter hospital stays and significant improvement in severity, which emphasizes the effectiveness of early interventions. Comorbidities like hypertension, diabetes, and smoking were identified as key risk factors, underlining the importance of a multidisciplinary approach to care. Additionally, 42 drug interactions, including nine major ones, highlight the need for careful medication management.

Although ischemic stroke patients incurred slightly higher costs, the economic burden of stroke care is substantial. This study underscores the importance of early detection, personalized treatment, and comprehensive post-stroke care to improve outcomes and reduce healthcare costs.

Categorization of stroke type

Out of 300 patients, 43% had hemorrhagic strokes and 57% had ischemic strokes, with ischemic strokes being more common, in line with global trends.14, 2.

Age distributionThe majority (28%) of patients were in the 65-75 years age group, with a noticeable decrease in incidence among those aged 95-105 years, highlighting age as a significant risk factor.

Age and Stroke Type:The 65-75 years age group had the highest incidence of both stroke types, with ischemic strokes being more frequent than hemorrhagic strokes in all age groups.10, 9

Gender Categorization of Stroke Type:

Out of 300 patients, 43% had hemorrhagic strokes and 57% had ischemic strokes, with ischemic strokes being more common, in line with global trends.14, 2

Age distribution

The majority (28%) of patients were in the 65-75 years age group, with a noticeable decrease in incidence among those aged 95-105 years, highlighting age as a significant risk factor.

Age and stroke type

The 65-75 years age group had the highest incidence of both stroke types, with ischemic strokes being more frequent than hemorrhagic strokes in all age groups.10, 9

Gender distribution

66% of stroke patients were male, indicating a higher stroke incidence in males compared to females. 11

Gender and stroke type

Hemorrhagic strokes were more common in males (75.2%) compared to females (24.8%). Similarly, ischemic strokes also had a higher male prevalence (59.06%).7

Hospital Stay Duration

Most patients had hospital stays of 6-10 days, with a significant portion staying for 7 or 9 days.5

Stay duration by stroke type

Ischemic stroke patients tended to have shorter stays, with 24.57% staying for 7 days, while hemorrhagic stroke patients had slightly longer stays.3

Comorbidities

74.42% of hemorrhagic stroke patients had comorbidities, with similar trends observed in ischemic stroke patients, indicating the complexity of managing patients with multiple health conditions.

CNS examination on admission

Most patients were alert on admission, with common neurological deficits including anxiety, sensory neglect, and lethargy.5

Risk factors

Hypertension, diabetes, and heart diseases like atrial fibrillation were key risk factors. Lifestyle factors such as anxiety and smoking were linked to ischemic strokes.10, 9

Pre-assessment severity

At admission, ischemic stroke patients showed significant neurological impairment, which improved by discharge, with most showing mild strokes.5

Post-assessment severity

Most ischemic stroke patients showed improvement, with many scoring as mild on the NIHSS and normal on the MMSE by discharge. 3

Drug interactions

42 drug interactions were identified, mostly minor, with nine major interactions, emphasizing the need for careful medication management. 11

Cost comparison

Ischemic stroke patients incurred slightly higher costs than hemorrhagic stroke patients, though the difference was not significant, highlighting the economic burden of stroke care. 7, 5

Distribution:66% of stroke patients were male, indicating a higher stroke incidence in males compared to females. 11

Conclusion

Our study compared hemorrhagic and ischemic strokes, revealing key findings: ischemic stroke had a higher prevalence (57%), and patients with ischemic strokes recovered faster than those with hemorrhagic strokes. Lifestyle factors such as smoking and alcohol use were identified as primary risk factors for ischemic strokes. The cost burden was similar for both stroke types, highlighting the significant economic impact of stroke care. Additionally, stroke rehabilitation and counseling played a crucial role in improving patient outcomes, emphasizing the importance of these interventions in enhancing recovery and informing effective stroke management strategies.

Ethical Approval

Ref no.: SIMS&RC/EC/15/2023

Conflict of Interest

None.

Source of Funding

None.

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Article type

Original Article


Article page

205-212


Authors Details

Femi S V*, Nakshathra R Nath, Amaya Prasannan, Anurag Maniyath, Susheela Rani, E. Satheesh Kumar, Smita, Padma


Article History

Received : 24-10-2024

Accepted : 04-12-2024


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