Factors Affecting Quality of Life for Patients with Cerebrovascular Accident in Middle Euphrates Neuroscience Center in Al-Najaf Al –Ashraf City
SaharAdham Ali1, Ahmed Salih Al-Qadi2
1Assistant Professor, Adult Nursing Department, Faculty of Nursing, University of Babylon.
2MSc., Adults Nursing, Faculty of Nursing, University of Babylon.
*Corresponding Author E-mail:
ABSTRACT:
Background: Cerebrovascular accident (CVA) is one of the most common medical emergency condition known as the fourth leading disease for death in the United States after cardiac disease, cancer and chronic respiratory diseases. It is the most popular disabling neurological disease. Objective: This study aimed to identify the factors affecting the quality of life for patients suffering from Cerebrovascular accident. Methodology: Crosssectional descriptive design was selected to achieve the objective to study the factors affecting quality of life (QOL) for patients diagnosed with Cerebrovascular accident in outpatient department in Middle Euphrates Neuroscience center in Al-Najaf Al- Ashraf City, for the period between 27October 2015 and 30 August 2016. Non probability (purposivesample) from (N=80) patients with Cerebrovascular accident were selected to participate in the study. Data was collected by using a questionnaire which was adopted and developed by the researchers, it consist three parts. Validity of the questionnaire obtain by (19) experts, while there liability obtained by using statistical method. Results: The majority of the samples were married male between (59-69) 0f age group. The overall quality of life level of the Cerebrovascular accident patient who participate in the study was moderate. Conclusion: The QOL for CVA patients were affected by the following risk factors :( age, occupation, educational level, chronic diseases, type of Cerebrovascular accident and the duration of the disease play as highly affecting factors related to the patient’s quality of life. Recommendation: Guided protocols may be needed to handle the initial weeks of rehabilitation to improve and minimize complication.
KEYWORDS: Factors, affecting, Quality of life, patient, Cerebrovascular accident.
INTRODUCTION:
Cerebrovascular accident is the most popular disabling neurological disease , nearly about 800 thousand for now cerebrovascular accident cases occurs annually, and approximately 130,000 people die every year from this condition in the United States1. The factors that affect the quality of life (QOL) vary between old patients and young patients.
Many factors have been pointed to influence the patients QOL, which can be extended to motor impairment, physical dysfunction, or dependency in activity of daily living (ADL), the presence of depression, cognitive impairment, and speech disturbances. Young patients with cerebrovascular accident were up to 10% of the all cases with distinct cause when matched with old people2. Risk factors is anything that increasing the chance of having CVA, some risk factors can be modified, while the others cannot , such as age , old person are more liable to get disease than the other age group 3, ethnicity ,gender and family history also play as a strong risk factors4.Commonly men are at higher risk than women , people with positive family health history are more likely to exposed to disease 5.The patients' health status and the specific dimensions of life such as physical, psychological, and social were affected post- cerebrovascular accident the QOL has been reported to not only be lower than QOL in the non- cerebrovascular accident population, but also to decrease further in the first year after disease6.World health organization defined Quality of life as one’s perception of their position in life, within the context of their culture and value systems, in relation to goals, expectations, standards and concerns, and is influenced by physical health, psychological state, level of independence, social relationships, relationships to the environment and comprising spiritual, religious and personal beliefs 7.
OBJECTIVES OF THE STUDY:
This study aimed to identify the risk factors affecting the quality of life of patients with cerebrovascular accident.
METHODOLOGY:
Design of the Study:
Cross-sectional descriptive design was selected to achieve the objective to study the factors affecting quality of life for patients with cerebrovascular accident which started between 27Oct. 2015 and 8 Aug. 2016. Non probability (purposive) sample of 80 patients (50) male and (30) female was selected to participate in the study. Structured questionnaire was adopted and developed by the researchers for this purpose after intensive review of related literatures.
RESULTS:
High (mean of scores equal or more than 2.34), moderate (mean of scores 1.67-2.33), low (mean of scores (1-1.66)
Figure 1: Distribution of the study sample according to their responses to the quality of life domains.
Table 1: Distribution of the Study Sample according to their Demographical characteristics.
|
Demographic Data |
Rating And Intervals |
Frequency |
Percent |
|
Age / Years |
37-47 |
14 |
17.5 |
|
48 – 58 |
21 |
26.3 |
|
|
59 – 69 |
22 |
27.5 |
|
|
70 – 80 |
17 |
21.2 |
|
|
81+ |
6 |
7.5 |
|
|
Gender |
Male |
50 |
62.5 |
|
Female |
30 |
37.5 |
|
|
Marital Status |
Single |
0 |
0 |
|
Married |
73 |
91.2 |
|
|
Widowed |
7 |
8.8 |
|
|
Levels Of Education |
Illiterate |
40 |
50 |
|
Able to read and write |
13 |
16.2 |
|
|
Primary school graduated |
9 |
11.3 |
|
|
Intermediate school graduated |
12 |
15 |
|
|
Secondary school graduated |
1 |
1.2 |
|
|
Institute graduated |
3 |
3.8 |
|
|
College graduated and more |
2 |
2.5 |
|
|
Occupation |
Employee |
9 |
11.3 |
|
Free job |
16 |
20 |
|
|
Retired |
12 |
15 |
|
|
Jobless |
17 |
21.2 |
|
|
Housewife |
26 |
32.5 |
|
|
Residency |
Rural |
37 |
46.2 |
|
Urban |
43 |
53.8 |
Table 2: Distribution of the Study Sample related to their Clinical Data
|
Clinical Data |
Rating And Intervals |
Frequency |
Percent |
|
Duration Of Disease / years |
Not less than 6 months |
45 |
56.3 |
|
1-6 |
29 |
36.2 |
|
|
7 And More |
6 |
7.5 |
|
|
Types Of CVA |
Ischemic |
59 |
73.7 |
|
Hemorrhagic |
19 |
23.8 |
|
|
Transient ischemic attack |
2 |
2.5 |
|
|
Family History |
Yes |
15 |
18.8 |
|
No |
65 |
81.2 |
|
|
Chronic Diseases |
No chronic diseases |
8 |
10 |
|
Hypertension |
26 |
32.5 |
|
|
Hypertension and diabetes mellitus |
27 |
33.8 |
|
|
Hypertension, diabetes mellitus, and heart failure |
4 |
5 |
|
|
Hypertension, diabetes mellitus, heart failure, and coronary heart diseases |
3 |
3.8 |
|
|
Hypertension, diabetes mellitus, heart failure, and renal failure |
1 |
1.2 |
|
|
Hypertension, diabetes mellitus, and coronary heart diseases |
1 |
1.2 |
|
|
Hypertension, and heart failure |
3 |
3.8 |
|
|
Hypertension, and coronary heart diseases |
1 |
1.2 |
|
|
Hypertension, and renal failure |
1 |
1.2 |
|
|
Diabetes mellitus |
3 |
3.8 |
|
|
Heart failure |
2 |
2.5 |
|
|
Smoking |
No |
52 |
65 |
|
Yes |
28 |
35 |
|
|
Duration Of Smoking |
Non smoking |
52 |
65 |
|
1-10 |
1 |
1.2 |
|
|
11-20 |
4 |
5 |
|
|
21-30 |
12 |
15 |
|
|
31 And More |
11 |
13.8 |
|
|
Number Of Cigarettes |
Non smoking |
52 |
65 |
|
10-20 |
4 |
5 |
|
|
30-40 |
12 |
15 |
|
|
More Than 40 |
12 |
15 |
|
|
BMI |
Normal weight |
14 |
17.4 |
|
Over Weight |
55 |
68.8 |
|
|
Obese |
11 |
13.8 |
The result of figure1: presented that the scores of the quality of life of the majority of the study sample were highly affected regarding the following domains: (energy and activity), plus movement; while moderate affect presented related to the family relationship, speaking, mood, self-management, social role, thinking, upper extremities function, vision, and work/ productive, and low effect score recorded for personality domain.
Table 3: Association between the Cerebrovascular accident patient’s quality of life and their demographical characteristics.
|
Demographic data |
Rating and intervals |
Quality of life |
Chi-square value |
d.f. |
p-value |
||
|
Low |
Moderate |
High |
|||||
|
Age / Years |
37-47 |
3 |
2 |
9 |
23.10 |
8 |
0.003 HS |
|
48 – 58 |
5 |
6 |
10 |
||||
|
59 – 69 |
8 |
9 |
5 |
||||
|
70 – 80 |
12 |
3 |
2 |
||||
|
81+ |
5 |
1 |
0 |
||||
|
Gender |
Male |
17 |
15 |
18 |
2.916a |
2 |
0.23 NS |
|
Female |
16 |
6 |
8 |
||||
|
Marital Status |
Married |
30 |
20 |
23 |
0.67 |
2 |
0.713 NS |
|
Widowed |
3 |
1 |
3 |
||||
|
Levels Of Education |
Illiterate |
25 |
7 |
8 |
22.95 |
12 |
0.028 S |
|
Able to read and write |
4 |
5 |
4 |
||||
|
Primary school graduated |
3 |
1 |
5 |
||||
|
Intermediate school graduated |
1 |
5 |
6 |
||||
|
Secondary school graduated |
0 |
1 |
0 |
||||
|
Institute graduated |
0 |
1 |
2 |
||||
|
College graduated and more |
0 |
1 |
1 |
||||
|
Occupation |
Employee |
0 |
5 |
4 |
26.38 |
8 |
0.001 HS |
|
Free job |
3 |
4 |
9 |
||||
|
Retired |
3 |
5 |
4 |
||||
|
Jobless |
14 |
1 |
2 |
||||
|
Housewife |
13 |
6 |
7 |
||||
|
Residency |
Rural |
19 |
9 |
9 |
3.21 |
2 |
0.20 NS |
|
Urban |
14 |
12 |
17 |
||||
This table presented revealed that there is a highly –significant relationship between the patient’s quality of life and their age , and occupation at P- value (less than 0.01); on the other hand , the results indicated that there is a significant relationship between the patient’s quality of life and their educational level at P-value (less than 0.05) , while no significant relationship presented between the patient’s quality of life and their gender , marital status , at P-value (more than 0.05).
Table 4: Association between patients’ quality of life and their clinical data.
|
Clinical data |
Rating and intervals |
Quality of life |
Chi-square value |
d.f. |
p-value |
||
|
Low |
Moderate |
High |
|||||
|
Duration of Disease / years |
Less Than 1 Year |
19 |
13 |
13 |
17.75 |
4 |
0.001 HS |
|
1-6 |
9 |
8 |
12 |
||||
|
7 And More |
5 |
0 |
1 |
||||
|
Types Of CVA |
Ischemic |
27 |
15 |
17 |
23.72 |
4 |
0.001 HS |
|
Hemorrhagic |
6 |
6 |
7 |
||||
|
Transient ischemic attack |
0 |
0 |
2 |
||||
|
Chronic Diseases |
No chronic diseases |
2 |
2 |
4 |
49.66 |
22 |
0.001 HS |
|
Hypertension |
12 |
3 |
11 |
||||
|
Hypertension and diabetes mellitus |
11 |
11 |
5 |
||||
|
Hypertension, diabetes mellitus, and heart failure |
3 |
1 |
0 |
||||
|
Hypertension, diabetes mellitus, heart failure, and coronary heart diseases |
1 |
1 |
1 |
||||
|
Hypertension, diabetes mellitus, heart failure, and renal failure |
1 |
0 |
0 |
||||
|
Hypertension, diabetes mellitus, and coronary heart diseases |
0 |
1 |
0 |
||||
|
Hypertension, and heart failure |
2 |
0 |
1 |
||||
|
Hypertension, and coronary heart diseases |
0 |
1 |
0 |
||||
|
Hypertension, and renal failure |
0 |
0 |
1 |
||||
|
Diabetes mellitus |
1 |
0 |
2 |
||||
|
Heart failure |
0 |
1 |
1 |
||||
|
Smoking |
No |
21 |
13 |
18 |
0.28 |
2 |
0.868 NS |
|
Yes |
12 |
8 |
8 |
||||
|
BMI |
Normal weight |
6 |
5 |
3 |
1.351 |
4 |
0.853 NS |
|
Over weight |
23 |
13 |
19 |
||||
|
Obese |
4 |
3 |
4 |
||||
|
Health problems |
No complications |
9 |
8 |
18 |
38.93 |
30 |
0.127 NS |
|
Headache |
7 |
7 |
2 |
||||
|
Headache and brain attack |
1 |
0 |
0 |
||||
|
Headache and UTI |
2 |
1 |
0 |
||||
|
Headache and pneumonia |
2 |
0 |
0 |
||||
|
Headache and bed sores |
1 |
0 |
0 |
||||
|
Headache and shoulder pain |
6 |
2 |
2 |
||||
|
Headache and DVT |
0 |
1 |
0 |
||||
|
UTI |
1 |
0 |
0 |
||||
|
UTI and shoulder pain |
0 |
0 |
1 |
||||
|
Pneumonia |
0 |
1 |
1 |
||||
|
Pneumonia and shoulder pain |
1 |
0 |
2 |
||||
|
Shoulder pain |
3 |
1 |
0 |
||||
Table (5) Association between patients’ overall quality of life domains and therisk factors
|
Main studied domains |
Statistical Para-meters |
Energy and activity |
Family relationship |
Speaking |
Movement |
Mood |
Personality |
Self-management |
Social role |
Thinking |
Upper extremities functions |
Vision |
Productivity |
|
Overall QOL |
Pearson correlation |
0.789 |
0.777 |
0.671 |
0.768 |
0.597 |
0.724 |
0.880 |
0.730 |
0.738 |
0.844 |
0.500 |
0.746 |
|
p-value |
0.001 HS |
0.001 HS |
0.001 HS |
0.001 HS |
0.001 HS |
0.001 HS |
0.001 HS |
0.001 HS |
0.001 HS |
0.001 HS |
0.001 HS |
0.001 HS |
|
|
Regression |
0.80 |
0.80 |
0.75 |
0.82 |
0.62 |
0.75 |
0.90 |
0.73 |
0.75 |
0.84 |
0.54 |
0.79 |
HS (p-value less than 0.01)
DISCUSSION:
The results in table (1) shows that the higher percentage 22(27.5%) of the study sample were between (59-69) years of age, 50(62.5%) were males, This result was parallel with the finding of the study, which is carried out in Iraq to study the quality of life for patients with CVA, which stated that the majority of the CVA patients were males (70%) within (61≥) years , increasing the risk of CVA with elderly men is almost twice as likely as women 8. Individuals who are married and have low educational level were label to expose to determining quality of life and associated factors in patients with CVA7. This result agree with our finding which pointed out high percentage 98 (94.2%) of sample were married, and 68 (65.4%) were illiterate, It is clear that the patients of the same age were often married when compare with those with early age group, Poor awareness of low educational people may lead to expose to CVA at any time because they cannot correctly decide when they need counseling or medical help related to knowledge deficit to classified all symptoms and indicators that they need counseling or medical help, so they easy expose to CVA. This finding is presented in the table shows that highest percentage 26 (32.5%) were housewives and this result agrees with the results which are obtained from the study which find out that the highest percentage of the participant were housewives (N=50), 8(36.0%)8. The majority of the sample who visit the neuroscience center in Al -Najaf city were illiterate and housewives because the services of the center cover wide extended area in the middle Euphrates
The results related to residency shows that, the most of the sample 43(53.8%) were urban area residency, this result was agree with a study which presented that the 72% of the sample were city resident. The lifestyle of the person in the urban area has more risk factors, related to complicated and difficult expensive life, which play as stressors affected person’s life9.
The results regarding duration of disease show that the highest percentage (56.3%) of illness duration was from (6 months to less than one year). This result was supported by a study which emphasized that CVA duration mainly which distributed from 6 to 7 months act as one of the risk factors which affecting the quality of life of diseased person.10
The results show that the majority of the participant(73.7%) were diagnosed with ischemic CVA, This results agree with many studies which presented that ischemic CVA take the highest percent than hemorrhagic CVA11, another study shows that (34 patients out of 50) had the ischemic type (68%). While thirty two percent of the patients (16 patients out of 50) had the hemorrhagic type of CVA (32%), also they emphasized that cerebral ischemic CVA was detected in 36 (72%) patients, and cerebral hemorrhage in 14 (36%) patients12.
The results of table (2) presented that (33.8%) of the sample suffer from diabetes mellitus and hypertension as a chronic disease , diabetes mellitus is more frequent in the older group than in the younger group of patients with CVA. This result is agrees with many previous studies which find out that most common comorbidity was hypertension13, 14, 15. The elevation in blood pressure effected the arteries and can create weak points that may be ruptured easily or thin spots accumulated with blood and protruded out from the artery wall (which known as aneurysm). Hypertension and changeable blood vessels are the main cause of the hemorrhagic CVA, ischemic CVA produced narrowing or blockage of blood vessels in the brain tissue which leads to cutoff the blood flow to the brain and it is tissue. When the patients with diabetes mellitus end up with high glucose level in their blood, on the other hand their tissues cannot receive enough energy. Furthermore, the high glucose may be due to collection of the fat on the inner wall of the blood vessels. This clot may be accumulated and produce narrow or block in the artery or vein (blood vessels) of the brain or neck, cutting off blood flow, produce low oxygen supply to the brain which may causing CVA.
Results of the table (2) show that (65%) of the study sample are nonsmokers. This result is in agreement with 16 who emphasized in their study that people with smoking history were (23.7%). which is not play as a risk factor for patient with stroke16.
The results show that most of the study samples were overweight (68.8%). This result is agrees with study which explain that obesity can increase the risk of stroke due to inflammation caused by excess of fatty tissue which can produce low blood flow and elevate the risk to blockage ,which consider the main cause of stroke17.
Related to the patient’s health problems the results indicated that headache is more frequent in the study sample, (16) patients (20%) from the complications after stroke. This result agrees with the study which presented that headache is indicated as a popular symptom post stroke but the incidence rate is unknown, many studies deal with headache when associated by different cerebrovascular lesions18. Regarding to the pneumonia the majority of the study sample (97.5%) of the patients with stroke has no pneumonia. These findings agree with study, which find out that stroke related pneumonia incidence and possible risk factors, 11 (13.4%) patients developed stroke associated pneumonia from 82 stroke patients admitted to medical wards19.
In addition to the stroke, the higher percentage (1.25%) of study samples were with brain attack. This result is supported by a study which carried out upon (5027) patients; they found that seizures happened in (2.7%) of them and the Seizures attaches become common phenomenon post stroke, approximately (2–20%) of all stroke patients20. Also this result is supported by Navarro, he mention that, 14 (1.3%) had epileptic seizure after stroke 21.
Concerning shoulder Pain complications, the study sample have shoulder pain. This result is supported by a study which emphasize that the majority of the stroke patients experience almost one episode of shoulder pain during their first year of disease22.
Also this result may come along with another study which reveals that high correlation between shoulder pain and older age after stroke. The reason of shoulder pain could be spasticity which can lead to reduced activity and can delay rehabilitation and affect the patient general condition23. In regards to urinary tract complications, the highest percent of the study sample (1.25%) had urinary tract infection (UTI). This result agree with previous study which find out that (10%) of 87 subject in his study had urinary tract infection24.
The study findings indicate that the overall assessments of patients’ quality of life was moderate (table 4). The results presented that statistically high significant relationship at level p < 0.01 between all the Quality of life domains and age, occupation, duration of disease, type of CVA, and chronic disease, which play as a risk factors affecting quality of life. Regarding age groups the results show that there is a highly significant relationship between the age and the moderate quality of life domains. This result is supported by a study which reported that, a significant relationship between alteration of the quality of life for patients with CVA and their age, while no relationship found between patients gender and marital status.
Regarding educational levels the results shows a significant relationship between education and alteration of the quality of life the person's quality of life, low educational statue will affected the personal power, and self-efficacy which affected the people's beliefs in their ability to influence events that effect their life, this belief is foundation of human motivation, performance and emotional well-being13.
Also the results show that there is a highly significant relationship between the occupational status and the quality of life. Many study found that there is a significant relationship between patients occupational status and their quality of life, work is an important part of human life, social statues depends on three factors, power, weather, and prestige, which maintain the human satisfaction for his life25.
No-significant relationship found between the residential area and the quality of life
The results of table (4) show that there is a highly significant relationship between the duration of disease, type of stroke which consider as risk factors which affecting human life 11. A high significant relationship between the patients' quality of life and chronic disease such as (hypertension and diabetes mellitus) at P-value (less than 0.01). A paralled study reported that there is a significant relationship between the associated diseases and the quality of life and patients with CVA13.
CONCLUSIONS:
The quality of life for patients with CVA were significantly affected by age, occupation educational level as demographical risk factors , on the other hand chronic diseases, type of stroke and it is duration play as highly risk factors which is affecting human life
RECOMMENDATIONS:
There is great need for guided protocols to handle the initial weeks of rehabilitation to improve and maintain patients quality of life by assessing the patient’s needs according to the factors which affecting the client life and offering guiding, consulting, and referrals if needed.
REFERENCES:
1. Prabhakar S, Taranjeet K, Ashish T. Role of active components of Medicinal plants in Neurodegenerative disorders and Synaptic Plasticity; International Journal of ChemTech Research; 2014, 6: 982-984.
2. Al-Gazally M. E., Al-Saadi A. H., Radeef A. H. (2015) Effect of homocysteine on ischemic stroke and myocardial infarction in Iraqi population. International Journal of PharmTech Research 8: 139-145.
3. Surendran A., ShSundaram Sh. Rajagopal, Kandasamy K., MuthusamyS, Ramanathan S. Is Air Pollution A Leading Risk Factor for Stroke: A Review; International Journal of ChemTech Research; 2016, Vol.9, No.9, pp 381-389.
4. Kalita J, Somarajan BI, Kumar B, Mittal B, Misra UK (2011) A study of ACE and ADD1 polymorphism in ischemic and hemorrhagic stroke. Clin. Chim. Acta. 412: 642–646.
5. Ford, Emma. Quality of Life After Stroke and Aphasia: Stroke Survivors’ and Spouses’ Perspectives. Diss. Staffordshire University, 2014, p.p: 49-54. Mohebi, S.; Parham, M.; Pourc, E.; Kamran, A.: Self-care Assessment in Patients with Diabetes in Qom city in 2013, Arch HygSci, 2014, 3(4), p.p.: 167-176.
6. Gourgees A. Samira” Assessment quality of life for patients with cerebrovascular accident Sci. J. Nursing / Baghdad, 2005, Vol. 18, No. 1, p.p: 115-125.
7. Serda, E.; Bozkurt, M.; Karakoç, M.; Çağlayan, M.; Akdeniz, D.; Oktayoğlu, P.; Varol, S. & Nas, K.: Determining Quality of Life and Associated Factors in Patients with Stroke, Turkish Society of Physical Medicine and Rehabilitation, 2015, 61, p.p: 148-154.
8. Al-Yasiri, A. Naser, S.: Correlation between the Stroke Site and Depression, The Iraqi Postgraduate Medical Journal, 2015, Vol (14), No (1), p.p: 154, 156.
9. Jun H, Kim Ki, Chun In, and Moon Ok-kom. The relationship between stroke patients soco-economic condition and their quality of life: the 2010 korean community health survey 27; p.p:781-784.
11. Hassoun., H, C-Reactive Protein Profile Among Acute Stroke Patients, 2016, p.p: 7-12.
12. Kamel, Amr, et al. "Health related quality of life in stroke survivors measured by the Stroke Impact Scale." Egypt J Neurol Psychiatry Neurosurg, 2010, 47, p.p: 267-274.
13. Hassan, and Mohammed, "Patients' Knowledge about Chronic Diseases towards Risk Factors and Warning Signs of Stroke."2010, Iraqi Sci. J. Nursing, Vol. 23, Special Issue, p.p: 1-14.
14. Duff, N., M. V. Ntsiea, and W. Mudzi. "Factors that influence return to work after stroke: original research." Occupational Health Southern Africa, 2014, 20.3, p.p: 6-12.
15. Sahathevan, R.; Linden, T.; Villemagne, V.; Churilov, L.; Ly, J.; Rowe, C.; Donnan, G.: Positron Emission Tomographic Imaging in Stroke, Stroke, 2015, Vol (47), No (1), p.p. 113-119.
16. Sanakayala, U.; Babu, A.; Teja, K.; Reddy, S.; Vasanthi.: Prevalence of cerebrovascular accidents (CVA) in obese hypertensive among inpatients of Govt, Indian Journal of Basic and Applied Medical Research, 2015, Vol. 4, No. 2, p.p. 489-493.
17. Vestergaad K, Anderson G, Ingeman M, and Jensen T. Headache in stroke, 2016; vol. 24, no, 11.p.p:1621-1624.
18. Jaffer, A. Sultan, K.; Al-Mahdawi, A.: Stroke Related Pneumonia Incidence and Possible Risk Factors, The Iraqi Postgraduate Medical Journal, 2012, Vol (11), No (3), p.p: 378.
19. Burneo, J. G., J. Fang, and G. Saposnik. "Impact of seizures on morbidity and mortality after stroke: a Canadian multi‐centre cohort study." European journal of neurology, 2010, 17.1, p.p: 52-58.
20. Navarro, J. Bitanga, E.; Suwanwela, N. Chang, H.; Ryu, S.; Huang, Y; Complication of acute stroke, Neurology Asia, 2008, Vol. 13, No.3, p.p: 33-39.
21. Bates, B. Choi, J.; Duncan, P; Glasberg, J.; Katz, R.; Reker, D; Zorowitz, R.: Guideline for the Management of Adult Stroke, Stroke, 2005; Vol (36), No (9), p.p: 2049-2056.
22. Hassan, Z.: Post Stroke Shoulder Pain Problem, The Iraqi Postgraduate Medical Journal, 2006, Vol (5), No (2), p: 174.
23. Westendorp, W. Nederkoorn, P.; Vermeij, J.; Dijkgraaf, M and Beek, D.: Post-stroke infection: A systematic review and meta-analysis, biomed central neurology, 2011, Vol. (11), No.(10), p.p: 1471-2377.
24. Williams, L. S., Weinberger, M., Harris, L. E., Clark, D. O., & Biller, J. Development of a stroke-specific quality of life scale. Stroke, 1999, 30(7), p.p: 1362-1369.
25. Hinkle, J.; Cheever, K.: Brunner and suddarth Text Book of Medical Surgical Nursing, 13th edition, 2014, Lippincott Williams and Wilkins, China, 2014, p.p: 1972, 1973.
Received on 02.04.2017 Modified on 25.04.2017
Accepted on 16.05.2017 © RJPT All right reserved
Research J. Pharm. and Tech. 2017; 10(6): 1944-1950.
DOI: 10.5958/0974-360X.2017.00341.9