Clinical profile, in-hospital outcome and associated factors of stroke after the start of a standard organized stroke care unit at university of Gondar hospital, northwest Ethiopia.

doi:10.21203/rs.2.431/v2

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Clinical profile, in-hospital outcome and associated factors of stroke after the start of a standard organized stroke care unit at university of Gondar hospital, northwest Ethiopia.

https://doi.org/10.21203/rs.2.431/v2

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Background: Epidemiological transitions and widespread risk factors made stroke common health problem in sub-Saharan countries in the early age. Stroke management largely depends on non-drug interventions. Stroke care units are facilities in hospitals which increased patient survival, return home, and regain independence in daily activities. This study was aimed to assess clinical profile, in-hospital outcome and its associated factors of stroke after the start of a standard organized stroke care unit in the study area. Method: An institution based cross-sectional study was employed from July 2015 to September 2017. A total of 151 stroke patients with computed tomography (CT) scan result were included in the study. Data were collected using structured questionnaire from secondary sources of patient medical records. In-hospital mortality and poor post-stroke disability (greater functional impairment, when Modified Rankin Scale score (mRS) ≥3) were outcome variables. Binary logistic regression model was fitted to identify predictor variables. Adjusted Odds Ratio (OR) with a 95% confidence interval (CI) used to assess the strength of association. Variables with p-value less than 0.05 in the multi-variable regression model was considered as significantly associated with the dependent variables. Result: Ischemic stroke (60.3%) subtype was the most common. The median age at presentation was 65 (IQR: 55-75) years. Hypertension (49.7%) and carotid atherosclerosis (54.7%) were the most commonly identified risk factors. Overall in-hospital mortality was 9.3% (95% CI: 5.2%-15.1%), poor post-stroke disability was 55.6% (95%CI: 47.3%-63.7%), and median length of hospital stay was 10 (IQR: 7-14) days. Being male (AOR=0.19, 95%CI: 0.038 0.97), longer in-hospital stays (AOR=0.21, 95%CI: 0.048 0.93) were significant predictors of in-hospital mortality. Furthermore increased ICP (AOR=2.81, 95%CI: 1.22 6.92) was also the predictor of poor post-stroke disability at discharge. Conclusion: Ischemic stroke was the most common stroke subtype. In-hospital mortality was relatively lower. However, greater functional impairment was high at discharge. Stroke morality was observed lower among male and longer in-hospital stay patients, while evidence of increased intracranial pressure was associated with poor post-stroke disability at discharge.

Internal Medicine Specialties

In hospital outcome

Mortality

poor outcome

stroke care unit

Gondar

The epidemics of non-communicable diseases result a devastating health consequences [1]. Cardiovascular diseases are the leading causes of disability and death globally [1-3]. Stroke is caused by, the interruption of blood supply to the brain due from blood vessel burst or blockage which is characterized by neurological deficits[4]. Worldwide Stroke is the second leading cause of death and the third leading cause of disability[2]. Globally, majority of stroke related mortality and disabilities occur in low- and middle-income countries [1, 2, 5].

Significant reductions of stroke incidence observed in developed countries. However, in the last four decades stroke incidence has doubled in developing countries[3, 6]. Ischemic stroke is the most prevalent and hemorrhagic stroke is the most fatal stroke subtypes[7]. African countries faced the double burden from infectious and NCD like stroke. Epidemiological transitions and widespread of risk factors made stroke the common health problem in sub-Saharan countries in the early age[2].

Stroke management largely relied on treatment of complications and supportive care in health facilities. Stroke managed in different health facilities like hospital general wards, intensive care units, and stroke care units. Stroke care units show proven eﬀectiveness in improving stroke outcome like increasing patient’s survival, return home, and regain independence in daily activities [8-11]. Evidences from previous studies, stroke management in stroke care units decreased mortality by 25% compared to general hospitals[12, 13].

Organized stroke care units are facilities, which provide stroke care services by a team of health care workers, such as nurses, doctors, and therapists who specialize in monitoring stroke patients. Since July 2013 Gondar University hospital with the collaboration of Southampton University established organized stroke care unit. Trained nurses and neurologists regularly follow the progress of patients. Stroke care unit was new not only in the hospital but also in the country. No study was conducted after the start of organized stroke care unit in the study area.

Therefore, this study was aimed to assess clinical profile, in-hospital outcomes and associated factors of stroke after the start of standard organized stroke care unit at the university of Gondar hospital. This research could provide an insight about the impacts of stroke care unit at hospital level and be used to inform respective stakeholders for strengthening and establishment isolated stroke care unit in a university of Gondar and other hospitals.

Study setting

The study was conducted at the University of Gondar Hospital, which is the only comprehensive, specialized hospital in Gondar City, the Amhara National Regional State, Ethiopia. More than 450, 000 peoples visited the hospital every year for different health care services. The hospital also serves as a referral center for a population of more than five million people in the surrounding catchment area which has varying climatic and geographical distributions. A standard stroke care unit was established at the university of Gondar comprehensives specialized hospital since 2013 with the collaboration of Southampton University for technical and material support.

The stroke care unit has four beds and dedicated staffs such as neurologist, physiotherapists, and nurses who provide stroke care regularly. In addition to human resource the unit equipped with essential materials for stroke care unit. Before the establishment of the unit all patients who diagnosed to have stroke were admitted in general medical wards with other patients like HIV and DM and there were no dedicated and trained staff for stroke patients. The stroke care unit had treatment protocol to support patients.

Population and sample

An institution based cross-sectional design was employed from July 1 2015 to September 20 2017. All stroke patients who were admitted and had treatment follow up at the University of Gondar hospital, internal medicine ward stroke care compartment were selected as study population. All patients with confirmed diagnosis of stroke of new onset and admitted to stroke care unit within seven days of diagnosis were included in the study. In fact there were no patients presented delayed than seven day in the study. Diagnosis of stroke is initially clinical and then confirmed by CT scan. The WHO case definition for stroke is patients with clinical manifestations and should be confirmed with CT scan imagining. Despite the cost of CT scan many patients with stroke do manage to get it. The sample size determine using the assumptions of rule of thumb because of absence of important parameters and rarity of the case. All stroke patients who were admitted and got service in the unit during the study were included. A total of 156 stroke patient medical records were identified during the study period. Of which five charts were excluded due to incomplete data for major variables, like in- hospital outcome and clinical variables. Finally 151 patients were the final sample size for the study.

Data collection and variables

Data were collected by internal medicine residents using a checklist sheet from the patient medical records. Two medical residents were recruited as data collectors and one medical resident as supervisor, a one day training was given to them on how to extract data from medical records. Checklist completeness and consistency checked every day by supervisor and principal investigator.

In-hospital mortality and poor post-stroke disability (greater functional impairment, when Modified Rankin Scale score ≥3) were outcome variables. The checklist contained socio-demographic data, HIV status, and type of stroke, common risk factors (hypertension, diabetes mellitus, substance use, neurologic risk factors and atrial fibrillation) and possible treatment outcomes of patients. Poor post-stroke disability (greater functional impairment): when a patient had Modified Rankin Score (mRS) greater than or equals to 3 at discharge[14]. Longer in-hospital stay: patients who stay admitted in hospitals for more than 10 days.

Data management and analysis

Collected data were checked for consistency, cleaned, coded and entered to Epi Info version 7, and exported to SPSS version 22 for further analysis. Descriptive measures summarized by using frequency tables and graphs. Binary logistic regression was fitted to identify predictor variables of in-hospital mortality and post-discharge poor disability. An Adjusted Odds Ratio (OR) with a 95% confidence interval was used to assess the strength of association. Variables with p-value less than 0.05 in the multi-variable considered as significant predictors of mortality and poor post-discharge disability.

Socio demographic characteristics

Out of total participants, half of them (50.3%) were females and most patients (63.7%) were from rural areas. The median age at the presentation was 65 (IQR: 55-75) years old. Stroke in the young age group(less than 40 years) accounted for 6.6% of cases (Table 1).

Risk factors and co-morbidities

Antecedent hypertension (50.3%) found to be the most common risk factor and nearly two third (65.3%) of patients were on regular medication. History of antecedent hypertension was identified among 44.7% and 55.3% of patients with hemorrhagic and ischemic stroke respectively. Diabetes mellitus (DM) was identified as a risk factor among (8.6%) patients and (5.9%) patients had both hypertension and diabetes mellitus. For 84 (55.6%) of patients carotid Doppler ultrasound was done and atherosclerotic changes were reported in 46 (54.7%) patients (Table 2).

Clinical presentations of stroke

Regarding to clinical presentation, more than half (58.3%) patients admitted to hospitals within 24 hours onset of stroke. The commonest complaint was failure to use hemi-body (80.7%) followed by altered mentation (45.7%). Twenty-eight(18.5%) of the patients were having admission fever greater than 38ºC and RBS≥200 mg/dl was recorded in 11(8%) of patients at admission (Table 3).

Stroke sub types

Ischemic (60.3%) and hemorrhagic (39.7%) were the most common stroke subtypes. The median age for the onset of ischemic and hemorrhagic stroke was 61.5 (IQR: 55-70) and 60(IQR: 60-75) years respectively. There was no statistically significant difference between two stroke subtypes with sex, area of residence, and preceding history of hypertension. Regarding to ischemic stroke cases the majority (76.6%) had anterior vessel circulation affected territory followed by more than two areas (12%) and Lacunars (7.8%). In relation to anatomical location of hemorrhagic stroke, Basal ganglia (52.2%), Lobar (22.6%), and thalamic (19.3%) were the most common findings.

Complications

Sixty four (42.8%) patients had at least one complications. Increased intracranial pressure (ICP) (33.1%) and aspiration (29.8%) were the most common detected complications. About 10 (6.6%) patients developed hospital acquired pneumonia and one patient was diagnosed with deep venous thrombosis (DVT).

In-hospital outcome at the stroke care unit

The overall in-hospital mortality was 14 (9.3%) with (95% CI: 5.2%-15.1%), and specific mortality to stroke subtypes of hemorrhagic (11.6%) and Ischemic (7.7%). Regarding to the cause of death, increased ICP (50%), sepsis (28%), and others were the commonly identified. The median length of hospital stay was 10 (IQR: 7-14) days.

Patients discharged to stroke care unit the degree of disability estimated based on several factors mentioned in the patients’ charts. Based Modified Rankin Score scale, patient who had (mRS≥3) at discharge were classified as poor post-stroke disability (greater functional impairment), from this study 55.6% with (95%CI: 47.3% 63.7%) had poor disability outcome at discharge. Greater functional impairment were higher among hemorrhagic (61.6%) compared to ischemic stroke (51.6%).

Factors associated with in-hospital outcome of stroke

Finding from multivariable logistic regression analysis; sex and length of hospital stay were significant predictors of in-hospital mortality. Male stroke patients were 81% less likely to had in-hospital mortality compared to female patients (AOR=0.19, 95%CI: 0.038 0.970). Similarly stroke patients who had longer than 10 days in-hospital stay the odds of mortality decreased by 79% (AOR=0.21, 95% CI: 0.048 0.93) compared to those who had LOS≤10dyas.

Whereas evidence of increased intracranial pressure was predictor of poor post-stroke disability outcome at multivariable logistic regression analysis model. Accordingly patients with evidence of increased intracranial pressure the odds of poor post-stroke disability 3.18 (AOR=3.18, 95%CI: 1.43 7.05) times higher compared to those not have ICP (Table 4).

The most common stroke subtype was ischemic stroke (60.3%) cases while the remaining accounted for hemorrhagic stroke. The median age of patients with ischemic stroke was 65.5 years (IQR: 60.5-78) and compared to 59.4 years (IQR: 55-70) for hemorrhagic stroke. Compared to previous study that was done in the same setup and study done in southern Ethiopia the proportion of hemorrhagic stroke was found to be higher in our study[15, 16]. But the proportion is comparable with other studies done in SSA[17, 18]. Hypertension was found in half of our patients with similar proportion between stroke subtypes. Atrial fibrillation was also found in 29(37.6%) of ischemic stroke patients who had Electrocardiogram (ECG) reading. Cardiac abnormalities were found in 63 (80.7%) of ischemic stroke patients who had Echocardiography, Degenerative Valvular disease (DVHD) being the commonest. Only 3 patients had chronic rheumatic valvular heart disease (CRVHD) and all of them were having ischemic stroke.

The overall in-hospital stroke mortality in this study was 9.3%. The mortality of ischemic stroke (7.7%) whereas that of hemorrhagic stroke was (11.7%). The overall in-hospital stroke mortality in this study was higher than that of high income countries such as Germany (5.4%)[14], United States of America (6%)[19], and China (2.30%)[20]. This may be explained by difference in health seeking behavior, professional expertise, severity of the disease, and stoke care unit setup.

Mortality from this study was lower than reports from in-hospital mortality from general wards at St. Paul’s teaching hospital (30.1%)[21], and Lusaka, Zambia (40.4%)[18], Ghana (41.1%)[17, 22], Nigerian teaching hospital (35%)[23], and South Africa (33%)[13]. This might be due to the difference in socio demographic characteristics and set up difference. In all the above mentioned settings stroke care were given in general medical wards where there is no dedicated staffs and materials for appropriate interventions of stroke. In addition this finding may underscore the advantage of establishing stroke care unit. Moreover, stroke mortality of this study was lower than a previous reports of stroke care units of South Africa (16%)[13] and Denmark (21%)[24]. This could be explained by difference in severity of the disease, professional expertise and year of the study.

Compared to the previous study done among 98 stroke patients in similar setup before establishment the unit, mortality and median length of hospital stay seems lower (9.3 vs. 13.3%) and (10 vs.13 days) respectively[16]. Regarding to the characteristics of patients before and after establishment of stroke care unit were more or less similar except high proportion of ischemic stroke patients from previous study (69.3%) compared to ours(60.3%)This might be explained by management of cases of stroke through organized stroke care unit and sample size difference.

This study also identified the commonest causes of death were increased ICP (50%) and sepsis (26.6%). Half of the total deaths occurred in the first seven days, increased ICP being the commonest cause. Sepsis and increased ICP contributed equally for deaths occurred after seven days of hospital stay. Regarding post stroke disability, about half (55.6%) patients were discharged with severe disability with greater functional impairment (Poor disability MRS score≥3). This finding was consistent with study conducted Tanzania (53%)[25] and China (53%)[26]. This finding was also higher than study conducted in Germany[14]. In fact this difference might be explained through study population and health care system difference between Ethiopia and Germany. In addition limited rehabilitation services in our hospital which is the case for most low-income countries. More over in our setup stroke patients are regularly followed by nurses and neurologists but physical therapists rarely.

The main predictors of in-hospital stroke mortality in this study; male sex, and length of hospital stay. Male patients were less likely to die compared to female patients. The possible explanations might be due age difference and atypical presentations between male and female patients. This finding was supported by other studies[24]. Patients who stayed admitted longer than 10 days stroke mortality was decreased by 79% compared to those who stay admitted less than 10 days. This may be explained by early death from acute stroke complication such as Increased ICP and most patients were from rural areas which might be responsible to death on hospital arrival.

The main predictors of poor outcome was evidence of increased ICP. Patients who have increased ICP were three times more likely to have poor in-hospital outcome as compared to those without features of increased ICP.

Firstly, this study was limited by inadequate sample size which might affect the power of study. Secondly, this study did not show the actual overall stroke mortality of the hospital, which excluded deaths reported out of stroke care unit like deaths at emergency departments on arrival. In addition, our stroke care unit is not separated. In addition, patient discharge against medical advice was also a key barrier affecting optimal clinical care. Key skills for stroke care, such as speech and language therapy for dysphagia assessment, are not available. Limited staff especially stroke specialists (e.g., neurologists, neurosurgeons and trained stroke nurses) can also contribute.

Ischemic stroke was the most common stroke subtype. In-hospital mortality was relatively lower. However, greater functional impairment was high at discharge. Stroke morality was observed lower among male and longer in-hospital stay patients, while evidence of increased intracranial pressure was associated with poor post-stroke disability at discharge.

Ethical approval and consent to participate

The study was based on secondary data from medical records of stroke patients. Ethical clearance was obtained from institutional ethical review board of school of medicine, college of medicine and health science, University of Gondar. Waiver letter obtained from University of Gondar comprehensive specialized hospital administration. Checklists were locked in cabinets, databases and the database was password protected.

Consent for publication

Not applicable

Availability of data and materials

The data are available and could be accessed from the corresponding author when asked with reasonable inquiry.

Competing interests

The authors declare that they have no competing interests

Funding

The study was funded by University of Gondar, Ethiopia. The funder has no role in study design, data collection and analysis, interpretation of data, decision to publish, or preparation of the manuscript.

Authors' contributions

SGA, NBG, ESG, and KST participated to design the study, data collection, performed data analysis, visualization, validation the whole work and prepared the manuscript. SGA took part in funding acquisition, data collection, supervision and software and other resources. All authors read and approved the final manuscript.

Acknowledgement

We would like to acknowledge all participants, data collectors and hospital administrator.

CRVHD: Chronic Rheumatic Valvular Heart Disease, DALY: Disability Adjusted Life’s of Year, DVHD: Degenerative Valvular Heart Disease, VT: Deep Venous Thrombosis, ECG: Electro Cardiogram, ICH: Intra Cranial Hemorrhage, ICP: Intra Cranial Pressure, IQR: Inter Quartile Range, IRB: Institutional Review Board, LMIC: Low and Middle Income Country, LOS: Length of Hospital Stay, MRS: Modified Rankin Score, NCD: Non Communicable Disease, OR: Odds Ratio, TIA: Transient Ischemic Attack.

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Table 1: Socio demographic characteristics of stroke patients admitted to stroke care unit at university of Gondar comprehensive specialized hospital,2017 (n=151)

Characteristics	Frequency	Percentage
Gender
Male	75	49.7
Female	76	50.3
Age
20-39	10	6.6
40-64	59	39.1
≥65	82	54.3
Religion
Muslim	17	11.3
Orthodox Christian	134	88.7
Residence
Urban	53	35.1
Rural	98	64.9

Table 2: Socio-demographic characteristics of stroke patients admitted at university of Gondar comprehensive specialized hospital stroke care unit, 2017 (n=151)

Risk factors	Frequency	Percentage (%)
Hypertension	76	50.3
Diabetes mellites	13	8.6
Previous stroke or TIA	23	15.2
Structural heart disease	74	49
Smoking	2	1.3
More than moderate alcohol	15	10.6
HIV positive	4	2.6
Carotid atherosclerotic change	46	54.7
Atrial fibrillation	33	28.7

Table 3: Clinical presentations of stroke patients admitted at university of Gondar comprehensive specialized hospital stroke care unit, 2017 (n=151).

Characteristics	Frequency	Percentage (%)
Hemi paresis/hemiplegic	112	80.8
Failure to communicate	57	37.7
Dysphasia	30	19.9
Incontinence	65	43
Failed admission swallow test	76	50.3
Headache	58	38.4
Fever ≥38	28	18.5
Vomiting	40	26.5
Seizure	15	10
Altered mentions	69	45.7

Table 4: Multivariable logistic regression analysis of predictors of in hospital outcome of stroke patients admitted at stroke care unit of Gondar university comprehensive specialized hospital.

Characteristics	In hospital mortality		Adjusted OR	Poor outcome		Adjusted OR
	Yes	No		Yes	No
Aspiration pneumonia
Yes	8	37	2.14(0.45 10.21)	32	13	1.12(0.45 2.76)
No	6	100	1	52	54	1
Admission swallow test
Passed	2	75	0.12(0.01 1.01)	32	45	0.49(0.21 1.11)
Failed	12	62	1	52	22	1
Any incontinence
Yes	12	53	5.57 (0.98 31.42)	45	20	1.67(0.76 3.68)
No	2	84	1	39	47	1
Mentation
Intact	3	79	0.95(0.14 6.69)	37	45	0.64(0.28 1.46)
Altered	11	58	1	47	22	1
Increased ICP
Yes	7	43	2.53(0.49 13.0)	37	13	3.18(1.43 7.05)*
No	7	94	1	47	54	1
Sex
Male	3	72	0.19(0.038 0.97)*	40	35
Female	11	65	1	44	32	0.81(0.39 1.68)
Length of hospital stay
≤ 10 days	11	75	1	42	44	1
>10 days	3	62	0.21(0.048 0.93)*	42	23	1.62(0.78 3.36)

* shows statistically significant association at a p-value <0.05

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Version 2

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You are reading this latest preprint version

Clinical profile, in-hospital outcome and associated factors of stroke after the start of a standard organized stroke care unit at university of Gondar hospital, northwest Ethiopia.

Status:

Version 2

Abstract

Background

Methods

Study setting

Population and sample

Data collection and variables

Data management and analysis

Results

Socio demographic characteristics

Risk factors and co-morbidities

Clinical presentations of stroke

Stroke sub types

Complications

In-hospital outcome at the stroke care unit

Factors associated with in-hospital outcome of stroke

Discussion

Conclusion

Declarations

Ethical approval and consent to participate

Consent for publication

Availability of data and materials

Competing interests

Funding

Authors' contributions

Acknowledgement

Abbreviations

References

Tables

Status:

Version 2