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Vol. 29. Núm. S2.
The Second International Nursing Scholar Congress (INSC 2018) of Faculty of Nursing, Universitas Indonesia.
Páginas 286-290 (septiembre 2019)
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Vol. 29. Núm. S2.
The Second International Nursing Scholar Congress (INSC 2018) of Faculty of Nursing, Universitas Indonesia.
Páginas 286-290 (septiembre 2019)
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Analysis of participants’ characteristics and risk factors for stroke recurrence
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3529
I. Made Kariasaa, Elly Nurachmaha,
Autor para correspondencia
ellynur08@yahoo.co.id

Corresponding author.
, Setyowatia, Raldi Artono Koestoerb
a Faculty of Nursing, Universitas Indonesia, Depok, West Java, Indonesia
b Faculty of Engineering, Universitas Indonesia, Depok, West Java, Indonesia
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Abstract
Objective

This preliminary study aimed to identify risk factors contributing to recurrent stroke.

Method

The study design was a descriptive analytic with a cross-sectional approach. The study involved post-stroke patients admitted to inpatient and outpatient of a neurology department. Ninety-eight participants were selected through consecutive sampling.

Results

The study results suggested that patients with a bachelor's degree (2%) had a lower risk of recurrent stroke, while housewives (32.7%), patients with ischemic stroke (63.3%), and patients with a second incidence of stroke (78.6%) had a higher risk for recurrent stroke. Risk factors for stroke included modifiable factors such as hypertension, cardiovascular disease, hypercholesterolemia, obesity, diabetes mellitus, smoking habit, alcohol abuse, stroke history, and use of contraceptive pills; and non-modifiable factors such as age, sex, ethnicity, and genetics. The results revealed that hypertension (86.7%), as a modifiable risk factor, posed the highest risk for recurrent stroke. Being of Javanese ethnicity (60.2%) was indicated as the non-modifiable risk factor with the highest risk of recurrent stroke.

Conclusion

Risk factors are firmly associated with stroke recurrence. It is necessary to investigate stroke patients’ self-screening further to manage modifiable factors.

Keywords:
Recurrent stroke
Risk factors
Participants’ characteristic
Texto completo
Introduction

Stroke is generally defined as a cerebrovascular accident occurring when a thrombus blocks vessels carrying oxygen and nutrients to the brain or when there is a rupture in some area of the brain.1 Stroke is also identified as the second leading cause of death globally after ischemic heart disease, especially in developing countries. There were around 6.2 million (10.6%) stroke incidents in 2011. Death is the direst consequence of stroke, and it also causes disability that results in loss of age potentials due to premature death and declined productivity.2

Stroke complications may be mitigated by controlling for risk factors, which are classified as modifiable or non-modifiable. Non-modifiable risk factors include age, sex, low birth weight, ethnicity, and genetics.3 The modifiable ones involve hypertension, diabetes mellitus, dyslipidemia, atrial fibrillation and other heart diseases, stenosis of arterial carotid, hormonal medications following menopause, use of oral contraceptives, smoking habit, alcohol consumption, unhealthy diet, obesity, and lack of physical activity.4 Stroke has a possibility of relapse or recurrence of 39.2%, and around 13% of stroke patients are affected by a recurrent stroke within their first year. In a recurrent stroke, greater neurological deficits may occur than in the first incident .5 Hospitals are currently dealing with the challenge of lowering the rate of preventable readmissions to save national budgets and improve the quality of services in hospitals.6 So far, there has been no study investigating modifiable and non-modifiable factors affecting recurrent stroke in Indonesia. Analysis of dominant factors contributing to stroke relapse may help nurses in preventing, educating, or providing care for patients following a stroke incident. Therefore, this preliminary study aimed to identify risk factors contributing to recurrent stroke.

Method

The study design was descriptive analytic with a cross-sectional approach. An analysis was performed to elaborate on the characteristics, and the most dominant factors contributing to recurrent stroke among post-stroke patients evaluated all together.7

The study population was 200 post-stroke patients who had survived the acute phase and were registered in outpatient departments and neurology polyclinics.

Three central hospitals in Jakarta were involved for data gathering. The inclusion criteria included stroke patients affected by recurrent stroke, the patient was able to communicate verbally, and patient consented to participate in this study.

Table 1 shows that 98 participants who met the inclusion criteria were selected through consecutive sampling.

Table 1.

Distribution of participants based on education, occupation, medical diagnosis, and recurrent stroke in three hospitals (n=200).

Variable  Category  n 
EducationBachelor graduate  15  7.5 
Diploma graduate  26  13.5 
High school graduate  78  39 
Middle school graduate  57  28.5 
Elementary school graduate  16 
No degree 
Total  200  100 
OccupationCivil servant  13  6.5 
Private worker  46  23 
Entrepreneur  60  30 
Housewife  52  26 
Unemployed  16 
Other  13  6.5 
Total  200  100 
Medical diagnosisHemorrhagic stroke  79  39.5 
Ischemic stroke  121  60.5 
Total  200  100 
Recurrent strokeFirst incident  102  51 
Second incident  77  38.5 
Third incident or greater  21  10.5 
Total  200  100 
Results

Table 2 shows that a majority of the participants with recurrent stroke were high school graduates (51%) and only a few held bachelor's degrees (2%). Housewives (32.7%) had the highest incidence of recurrent stroke among the occupations.

Table 2.

Distribution of participants based on education, occupation, medical diagnosis, and stroke incidence (n=98).

Variable  Category  n 
EducationBachelor graduate 
Diploma graduate  11  11.2 
High school graduate  50  51.0 
Middle school graduate  21  21.4 
Elementary school graduate  11  11.2 
No degree  3.1 
Total  98  100 
OccupationCivil servant  6.1 
Private worker  24  24.5 
Entrepreneur  19  19.4 
Housewife  32  32.7 
Unemployed  13  13.3 
Other  4.1 
Total  98  100 
Medical diagnosisHemorrhagic stroke  36  36.7 
Ischemic stroke  62  63.3 
Total  98  100 
Recurrent strokeSecond incidence  77  78.6 
Third incidence or greater  21  21.4 
Total  98  100 

Most of the patients with recurrent stroke were diagnosed with an ischemic stroke (63.3%) rather than a hemorrhagic stroke (36.7%). The majority of the patients were affected by a second incident (78.6%) rather than a third or greater incident (21.4%).

Table 3 reveals that hypertension (86.7%) was the most dominant factor contributing to stroke recurrence among the modifiable factors, followed by a sedentary lifestyle as the second most dominant factor (38.8%). Participants aged between 16 and 65 years old (67.3%) had the highest incidence of stroke recurrence, and Javanese ethnicity had a higher risk of stroke recurrence (60.2%). Males were more likely to be affected by recurrent stroke (56.1%) than females (43.9%). Participants with a family history of stroke were also more likely to be affected by a repeat stroke (26.5%).

Table 3.

Distribution of participants based on risk factors (n=98).

Variable  Category  n 
HypertensionNo  13  13.3 
Yes  85  86.7 
Total  98  100 
Cardiovascular diseaseNo  81  82.7 
Yes  17  17.3 
Total  98  100 
HypercholesterolemiaNo  56  57.1 
Yes  42  42.9 
Total  98  100 
ObesityNo  75  76.5 
Yes  23  23.5 
Total  98  100 
Smoking habitNo  87  88.8 
Yes  11  11.2 
Total  98  100 
Alcohol consumptionNo  93  94.9 
Yes  5.1 
Total  98  100 
ActivityNo  38  38.8 
Yes  60  61.2 
Total  98  100 
Diabetes mellitusNo  52  53.1 
Yes  46  46.9 
Total  98  100 
Use of contraceptive pillNo  90  91.8 
Yes  8.2 
Total  98  100 
Age18–65 years  66  67.3 
66–79 years  26  26.5 
80–89 years  6.1 
Total  98  100 
SexMale  55  56.1 
Female  43  43.9 
Total  98  100 
EthnicityJava  59  60.2 
Batak  11  11.2 
Kalimantan 
Sunda  23  23.5 
Betawi 
Manado 
Tionghoa 
Total  98  100 
Family history of strokeNo  69  73.5 
Yes  29  26.5 
Total  98  100 
Discussion

Based on the distribution of the participants’ education, occupation, medical diagnosis, and stroke incidence shown in Table 2, the following factors were indicated: Educational background was among the critical factors because it influences how people perceive and manage their health issues.8 The table also shows that those with a bachelor's degree (2%) had the lowest risk of stroke recurrence. This result coincided with Telfair and Shelton,9 which claimed that individuals with lower levels of education were more likely to be affected by repeat stroke than those with higher education levels due to their extent of knowledge. This result contradicted with Ji Man Hon's study, which revealed no significant correlation between an individual's educational background and stroke incidence.10 Participants with a high school diploma had higher rates of stroke recurrence (51%), indicating that possessing adequate knowledge was not able to prevent a stroke relapse.11 The results demonstrate that housewives had the highest incidence of stroke recurrence (32.7%), which might be caused by psychological stress or boredom in performing repeated daily activities.12 Association AH claimed that stress might raise blood pressure due to the release of adrenaline and a faster heartbeat, leading to deterioration of atherosclerosis.1 Another possible factor in housewives having the highest incidence of stroke recurrence is the performance of daily routines and activities that require less movement.13 Study results indicate that stroke recurrence is more likely to affect patients with ischemic stroke (63.3%) than patients with hemorrhagic stroke. The recurrence is mainly due to a higher prevalence of ischemic stroke. As stated by Hong, the prevalence of ischemic stroke saw an increase by up to 76%. A systematic review also claimed that patients with ischemic stroke had a higher prevalence of repeat stroke (33%) than those with hemorrhagic stroke (26.3%).14 More participants were affected by a second stroke incident (78.6%) than a third or greater incident. This result is in agreement with a study conducted by Johnston, which revealed that 15% of patients were affected by the second stroke within 90 days of the initial stroke incident.15,16 Junaidi also confirmed that 1 out of 10 stroke patients was affected by a repeat stroke within 6–12 months after the first stroke. Stroke recurrence depends on the type of the initial stroke, comorbidity, age, and individual risk factors.17

Risk factors for stroke are classified into modifiable and non-modifiable factors. Table 3 shows the results that reveal the following: The four diseases that predicted stroke recurrence were hypertension, diabetes mellitus, hypercholesterolemia, and cardiovascular disease. Hypertension had the highest incidence of repeat stroke (86.7%). These results correspond with AHA, which claimed a 70% prevalence of hypertension among stroke patients.18 Hypertension may accelerate atherosclerosis due to elevated pressure on the endothelial lining of arterial vessels, which promotes plaque formation. Higher blood pressure would also increase the risk of stroke recurrence.19 Junaidi described how uncontrolled hypertension might aggravate the process of atherosclerosis, which, in turn, leads to cerebral hemorrhage or infarction and altered autoregulation of vessels in the brain that pose a risk for stroke recurrence if left untreated.17 Diabetes is another factor contributing to repeat stroke due to a higher susceptibility to cerebrovascular diseases.20 A systematic review defined diabetes as a strong risk factor of stroke due to its effect on the blood–brain barrier, microvascular complications, and an increased conversion of hemorrhagic infarction following reperfusion.21 Association A health determined that hypercholesterolemia is a risk factor for stroke that should be taken into consideration because it may lead to blood clotting, which, in turn, can cause a stroke.22 Sandora confirmed this result and stated that 44.04% of stroke patients were affected by hypercholesterolemia. Cardiovascular disease was also indicated as a risk factor for recurrent stroke in which the formation of plaque occurs and occludes blood vessels in the brain.23 A study by Gage determined cardiovascular disease was an independent risk factor contributing to stroke among male adults.24 Lack of physical activity is also a risk factor with a significant percentage of occurrence when compared to other factors; it elevates blood pressure, predisposes the patient to diabetes mellitus, and causes weight gain, which may result in obesity.25 Hickey defined obesity as a result of binge eating habits and inadequate exercise, causing metabolic disorders and elevated blood pressure; both are main indicators of stroke.26 The result concurred with Strazzullo, which involved 2 million participants and revealed that obesity independently increased the risk of ischemic stroke threefold.27 Participants with a smoking habit were also at risk for stroke recurrence, as confirmed by Lawrence, who showed that risk of stroke increased in proportion to the number of cigarettes consumed.28 Alcohol abuse was also a modifiable risk factor of stroke recurrence and might increase the risk of all types of stroke.29 Furthermore, the use of contraceptive pills also contributed to stroke recurrence among women. This result coincided with a study conducted by Putri, which revealed that 65.9% of 80 participants involved in the study were using oral contraceptives.30 Age is among the non-modifiable risk factors for recurrent stroke. Blood vessels deteriorate with advancing age and double the risk of stroke in people aged 55 years or older. Although stroke generally affects older people, it may also affect people aged 65 years or younger.31 Males were more likely to be affected by stroke recurrence. This situation was presumably due to a lifestyle involving smoking, alcohol abuse, and dyslipidemia.32 Based on ethnicity, Javanese people had the highest risk of stroke recurrence. This result concurred with a study conducted by Erawantini, which indicated that among some ethnicities, the Javanese had the greatest tendency to be affected by stroke.33 The tendency was associated with their local dietary habits and patterns. Based on heredity, there were only a few participants who were at risk for stroke recurrence. This result concurred with Haley and Roth's study, which suggested that family history was not considered an independent risk factor for stroke.34 The study also indicated no significant correlation between family history and stroke incidence. However, another study claimed that an individual with a family history of stroke was more likely to be affected by stroke than those without a family history.35

Stroke is a cerebrovascular disease with a globally high rate of morbidity, mortality, and disability. Therefore, it is imperative to stage screening and detection programs to prevent stroke by, for example, identifying the risk factors that are closely correlated with stroke recurrence. Risk factors for stroke are generally categorized into modifiable and non-modifiable, and it is necessary to investigate self-screening by stroke patients further to manage their modifiable risk factors. The author recommends that nurses be provided with health education that emphasizes the modification of patient behaviors to manage modifiable risk factors.

Conflict of interests

The authors declare no conflict of interest.

Acknowledgements

This work is supported by Hibah TADOK 2018 funded by DRPM Universitas Indonesia No. 1255/UN.R3.1/HKP.05.00/2018.

References
[1]
W.J. Powers, C.P. Derdeyn, J. Biller, C.S. Coffey, B.L. Hoh, E.C. Jauch, et al.
AHA/ASA Guideline 2015 American Heart Association/American Stroke Association Focused Update of the 2013 Guidelines for the early management of patients with acute ischemic stroke regarding endovascular treatment.
[2]
WHO..
The 10 top leading causes of the death in the world, 2000 and 2011.
(2014),
[3]
Perhimpunan Dokter Spesialis Saraf Indonesia (PERDOSSI). Guid stroke tahun 2011 Perdossi Jakarta.
[4]
V.A. Molinari, D.A. Chiriboga, L.G. Branch, J. Schinka, L. Schonfeld, L. Kos, et al.
Reasons for psychiatric medication prescription for new nursing home residents.
Aging Ment Health [Internet], 15 (2011), pp. 904-912
[5]
M. Lawrence, S. Kerr, H.E. Watson, J. Jackson, M.G. Brownlee.
A survey of stroke nurses’ knowledge of secondary prevention lifestyle issues.
Br J Neurosci Nurs, 5 (2009), pp. 518-523
[6]
J.R. Vest, L.D. Gamm, B.A. Oxford, M.I. Gonzalez, K.M. Slawson.
Determinants of preventable readmissions in the united states: a systematic review.
Implem Sci, 5 (2010), pp. 88
[7]
I.K. Swarjana.
Metodelogi Penelitian Kesehatan.
(2015),
[8]
O. Daniel.
Age, socioeconomic status, and exercise self-efficacy.
Gerontologist, 36 (2006), pp. 157-164
[9]
J. Telfair, T.L. Shelton.
Educational attainment as a social determinant of health.
N C Med J [Internet], 73 (2012), pp. 358-365
[10]
J.M. Hong, D.H. Shin, T.S. Lim, J.S. Lee, K. Huh.
Galantamine administration in chronic post-stroke aphasia.
J Neurol Neurosurg Psychiatry, 83 (2012), pp. 675-680
[11]
Junaidi I. Stroke, Waspadai Ancamannya. Yogyakarta Andi Offset Kementeri Kesehat Republik Indones http//www.depkes.go.id/. 2011.
[12]
A.C. Lowney, H.T. Myles, K. Bristowe, E.L. Lowney, K. Shepherd, M. Murphy, et al.
Understanding what influences the health-related quality of life of hemodialysis patients: a collaborative study in England and Ireland.
J Pain Symptom Manage [Internet], 50 (2015), pp. 778-785
[13]
P. Nowakowski.
The role of woman and man on shaping the old and modern households.
International conference on universal access in human–computer interaction, pp. 330-338 http://dx.doi.org/10.1007/978-3-642-39188-0_36
[14]
A. Rao, E. Barrow, S. Vuik, A. Darzi, P. Aylin.
Systematic review of hospital readmissions in stroke patients.
Stroke Res Treat, (2016), pp. 1-11
[15]
S.C. Johnston, P. Amarenco, G.W. Albers, H. Denison, J.D. Easton, S.R. Evans, et al.
Ticagrelor versus aspirin in acute stroke or transient ischemic attack.
N Engl J Med [Internet], 375 (2016), pp. 35-43
[16]
P. Higgins, P.W. MacFarlane, J. Dawson, G.T. McInnes, P. Langhorne, K.R. Lees.
Noninvasive cardiac event monitoring to detect atrial fibrillation after ischemic stroke.
[17]
I. Junaidi.
Panduan praktis pencegahan dan pengobatan stroke.
Bhuana Ilmu Popul, (2012),
[18]
W.N. Kernan, B. Ovbiagele, H.R. Black, D.M. Bravata, M.I. Chimowitz, M.D. Ezekowitz, et al.
Guidelines for the prevention of stroke in patients with stroke and transient ischemic attack: a guideline for healthcare professionals from the American Heart Association/American Stroke Association.
Stroke, 45 (2014), pp. 2160-2236
[19]
R.Y. Sari.
Internal factor affecting length of stay stroke patien in hospital.
Proc Surabaya Int Heal Conf, (2017), pp. 219-223
[20]
R. Chen, B. Ovbiagele, W. Feng.
Diabetes and stroke: epidemiology, pathophysiology, pharmaceuticals and outcomes.
Am J Med Sci, 351 (2016), pp. 380-386
[21]
J.P. Desilles, E. Meseguer, J. Labreuche, B. Lapergue, G. Sirimarco, J. Gonzalez-Valcarcel, et al.
Diabetes mellitus, admission glucose, and outcomes after stroke thrombolysis: a registry and systematic review.
Stroke, 44 (2013), pp. 1915-1923
[22]
W.N. Kernan, B. Ovbiagele, H.R. Black, D.M. Bravata, M.I. Chimowitz, M.D. Ezekowitz, et al.
Guidelines for the prevention of stroke in patients with stroke and transient ischemic attack: a guideline for healthcare professionals from the American Heart Association /American Stroke Association.
Stroke, 45 (2014), pp. 2160-2236
[23]
N. Sandora.
Frekuensi Hiperkolesterolemia Pada Kasus Stroke Di Bagian Ilmu Penyakit Syaraf FKUA-RSUP M DJAMIL PADANG [unpublished thesis].
Universitas Riau, (2007),
[24]
B.F. Gage, C. van Walraven, L. Pearce, R.G. Hart, P.J. Koudstaal, B.S. Boode, et al.
Selecting patients with atrial fibrillation for anticoagulation: stroke risk stratification in patients taking aspirin.
Circulation, 110 (2004), pp. 2287-2292
[25]
C.D. Lee, A.R. Folsom, S.N. Blair.
Physical activity and stroke risk: a meta-analysis.
Stroke, 34 (2003), pp. 2475-2481
[26]
V.J. Hickey.
The clinical practice of neurological and neurosurgical nursing.
7th ed., Lippincott William Wilkins, (2014),
[27]
P. Strazzullo, L. D’Elia, G. Cairella, F. Garbagnati, F.P. Cappuccio, L. Scalfi.
Excess body weight and incidence of stroke: meta-analysis of prospective studies with 2 million participants.
Stroke, 41 (2010), pp. e418-e426
[28]
M. Lawrence, H. Fraser, C. Woods, J. McCall.
Secondary prevention of stroke and transient ischaemic attack.
Nurs Stand, 26 (2011), pp. 41-47
[29]
R.L. Sacco, S.E. Kasner, J.P. Broderick, L.R. Caplan, J.J. Connors, A. Culebras, et al.
An updated definition of stroke for the 21st century: a statement for healthcare professionals from the American Heart Association/American Stroke Association.
Stroke, 44 (2013), pp. 2064-2089
[30]
Sujiwa A. Putri.
Hubungan Antara Penggunaan Kontrasepsi Oral Dengan Kejadian Stroke Iskemik Di Poli Saraf Rsud Dr. Moewardi. [unpublished thesis].
Universitas Muhammadiyah Surakarta, (2014),
[31]
A.S. Rasyid.
Unit stoke: manajemen stoke secara komprehensif.
Balai penerbit FKUI, (2011),
[32]
D. Mozaffarian, E.J. Benjamin, A.S. Go, D.K. Arnett, M.J. Blaha, M. Cushman, et al.
Heart disease and stroke statistics-2016 update a report from the American Heart Association.
Circulation, 133 (2016), pp. e38-e48
[33]
F. Erawantini, R.R. Chairina.
Analisis Faktor Risiko Stroke Berdasarkan Telaah Berkas Rekam Medis Periode 2015 di Rs Jember Klinik.
Prosiding, (2016),
[34]
W.E. Haley, D.L. Roth, M. Hovater, O.J. Clay.
Long-term impact of stroke on family caregiver well-being: a population-based case–control study.
Neurology, 84 (2015), pp. 1323-1329
[35]
M. Dichgans, R. Malik, I.R. König, J. Rosand, R. Clarke, S. Gretarsdottir, et al.
Shared genetic susceptibility to ischemic stroke and coronary artery disease: a genome-wide analysis of common variants.

Peer-review under responsibility of the scientific committee of the Second International Nursing Scholar Congress (INSC 2018) of Faculty of Nursing, Universitas Indonesia. Full-text and the content of it is under responsibility of authors of the article.

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