scholarly journals Burden, clinical outcomes and predictors of time to in hospital mortality among adult patients admitted to stroke unit of Jimma university medical center: a prospective cohort study

2019 ◽  
Author(s):  
Ginenus Fekadu ◽  
Legese Chelkeba ◽  
Ayantu Kebede
Keyword(s):  
Cohort Study ◽  
Hospital Mortality ◽  
Clinical Outcomes ◽  
Prospective Cohort ◽  
Stroke Unit ◽  
Medical Center ◽  
Stroke Patients ◽  
Hospital Arrival ◽  
Time To Death ◽  
Jimma University

Abstract Background: The global burden of stroke epidemiology is changing rapidly. Over the 1990–2013 periods, there was a significant increase in the absolute number of deaths and incident events of stroke. The burden of stroke varies in Ethiopia between regions and over time. Hence, this study was aimed to assess the burden, clinical outcomes and predictors of time to in hospital mortality among stroke patients. Methods: A prospective cohort study was carried at stroke unit of Jimma University Medical Center (JUMC) from March 10- July 10, 2017. The outcome of interest was mortality and time to death. Data was analyzed using SPSS version 20. Multivariable Cox regression was used to identify the predictors of in hospital mortality and time to death from hospital arrival. Predictor variables with P< 0.05 was considered statistically significant. Results: A total of 116 eligible stroke patients were followed over 4 months. The mean age of patients was 55.1+14.0 years and males comprised of 73 (62.9%). Stroke accounted for 16.5 % of total medical admissions. Among the 116 patients with stroke, 91 (78.4%) were discharged alive making in hospital mortality of rate of 25 (21.6%). The median time of in hospital mortality and length of hospital stay after admission of the patients were 4.38 days and 9.21 days, respectively. The prominent suspected immediate cause for in hospital mortality was increased intracranial pressure in 17 (68.0%) followed by respiratory failure secondary to aspiration pneumonia in 11 (44.0%) patients. Brain edema (AHR: 6.27, 95% CI: 2.50-15.76), urine incontinence (AHR: 3.48, 95% CI: 1.48-8.17), National Institute of Health Stroke Scale (NIHSS) >13 during hospital arrival (AHR: 22.58, 95% CI: 2.95-172.56) and diagnosis of stroke clinically alone (AHR: 4.96, 95% CI: 1.96-12.54) were the independent predictors of time to in hospital mortality. Conclusions: The mortality rate of stroke in this setup was comparable with other low- and middle-income countries (LMICs). There is an urgent need to establish well equipped and staffed stroke units in the country in addition to strengthen the already existing on. Furthermore, future work must be designed to identify the barriers to improve stroke outcomes and recovery.

scholarly journals Burden, clinical outcomes and predictors of time to in hospital mortality among adult patients admitted to stroke unit of Jimma university medical center: a prospective cohort study

2019 ◽  
Author(s):  
Ginenus Fekadu ◽  
Legese Chelkeba ◽  
Ayantu Kebede
Keyword(s):  
Cohort Study ◽  
Hospital Mortality ◽  
Clinical Outcomes ◽  
Prospective Cohort ◽  
Stroke Unit ◽  
Medical Center ◽  
Stroke Patients ◽  
Hospital Arrival ◽  
Time To Death ◽  
Jimma University

Abstract Background: The global burden of stroke epidemiology is changing rapidly. Over the 1990–2013 periods, there was a significant increase in the absolute number of deaths and incident events of stroke. The burden of stroke varies in Ethiopia between regions and over time. Hence, this study was aimed to assess the burden, clinical outcomes and predictors of time to in hospital mortality among stroke patients. Methods: A prospective cohort study was carried at stroke unit of Jimma University Medical Center (JUMC) from March 10- July 10, 2017. The outcome of interest was mortality and time to death. Data was analyzed using SPSS version 20. Multivariable Cox regression was used to identify the predictors of in hospital mortality and time to death from hospital arrival. Predictor variables with P< 0.05 was considered statistically significant. Results: A total of 116 eligible stroke patients were followed over 4 months. The mean age of patients was 55.1+14.0 years and males comprised of 73 (62.9%). Stroke accounted for 16.5 % of total medical admissions. Among the 116 patients with stroke, 91 (78.4%) were discharged alive making in hospital mortality of rate of 25 (21.6%). The median time of in hospital mortality and length of hospital stay after admission of the patients were 4.38 days and 9.21 days, respectively. The prominent suspected immediate cause for in hospital mortality was increased intracranial pressure in 17 (68.0%) followed by respiratory failure secondary to aspiration pneumonia in 11 (44.0%) patients. Brain edema (AHR: 6.27, 95% CI: 2.50-15.76), urine incontinence (AHR: 3.48, 95% CI: 1.48-8.17), National Institute of Health Stroke Scale (NIHSS) >13 during hospital arrival (AHR: 22.58, 95% CI: 2.95-172.56) and diagnosis of stroke clinically alone (AHR: 4.96, 95% CI: 1.96-12.54) were the independent predictors of time to in hospital mortality. Conclusions: The mortality rate of stroke in this setup was comparable with other low- and middle-income countries (LMICs). There is an urgent need to establish well equipped and staffed stroke units in the country in addition to strengthen the already existing on. Furthermore, future work must be designed to identify the barriers to improve stroke outcomes and recovery.

scholarly journals Burden, Clinical Outcomes and Predictors of Stroke in Hospital Mortality among Adult Patients Admitted to Stroke Unit of Jimma University Medical Center: Prospective Cohort Study

2019 ◽  
Author(s):  
Ginenus Fekadu ◽  
Legese Chelkeba ◽  
Ayantu Kebede
Keyword(s):  
Cohort Study ◽  
Hospital Mortality ◽  
Prospective Cohort Study ◽  
Prospective Cohort ◽  
Stroke Unit ◽  
Medical Center ◽  
Female Ratio ◽  
Hospital Arrival ◽  
Time To Death ◽  
Jimma University

Abstract Background: Global burden of stroke epidemiology is changing rapidly. Over the 1990–2013 period, there was a significant increase in the absolute number of deaths and incident events of stroke. The burden of ischemic and hemorrhagic stroke varies between regions and over time in Ethiopia. The paucity of data has limited research output and consequently the response to this burden in our country. Methods: Prospective cohort study was carried at stroke unit of Jimma University Medical Center (JUMC) from March 10- July 10, 2017. The outcome of interest was mortality and time to death. Data was analyzed using SPSS version 20. Multivariable Cox regression was used to identify the predictors of in hospital mortality and time to death from hospital arrival. Predictor variables with P< 0.05 were considered statistically significant. Results: A total of 116 eligible stroke patients were followed with the mean age of 55.1+14.0 years and males comprised of 73 (62.9%) with male: female ratio of 1.70:1. Stroke accounted for 16.5 % of total medical admissions and 23.6 % of the total cases of in hospital mortality. A total of 91 (78.4%) of patients were discharged being alive making in hospital mortality of rate of 25 (21.6%). The median time of in hospital mortality after admission and length of hospital stay of the patients was 4.38 days and 9.21 days, respectively. The prominent suspected immediate cause for in hospital mortality was increased intracranial pressure 17 (68.0%) followed by respiratory failure secondary to aspiration pneumonia 11 (44.0%). Brain edema (AHR: 6.27, 95% CI: 2.50-15.76), urine incontinence (AHR: 3.48, 95% CI: 1.48-8.17), National Institute of Health Stroke Scale (NIHSS) >13 during hospital arrival (AHR: 22.58, 95% CI: 2.95-172.56) and diagnosis of stroke clinically alone (AHR: 4.96, 95% CI: 1.96-12.54) were the independent predictors of in hospital mortality. Conclusions: The mortality of stroke in this set up was similar to other low- and middle-resource countries. There should be burning need to establish and strengthen the available stroke units which are well-equipped and staffed with intensive health care teams in different hospitals across the country.

scholarly journals Burden, Clinical Outcomes and Predictors of Stroke in Hospital Mortality among Adult Patients Admitted to Stroke Unit of Jimma University Medical Center: Prospective Cohort Study

2019 ◽  
Author(s):  
Ginenus Fekadu ◽  
Legese Chelkeba ◽  
Ayantu Kebede
Keyword(s):  
Cohort Study ◽  
Hospital Mortality ◽  
Prospective Cohort Study ◽  
Prospective Cohort ◽  
Stroke Unit ◽  
Medical Center ◽  
Hospital Arrival ◽  
Time To Death ◽  
The Mean ◽  
Jimma University

Abstract Background: Global burden of stroke epidemiology is changing rapidly. Over the 1990–2013 period, there was a significant increase in the absolute number of deaths and incident events of stroke. The burden of ischemic and hemorrhagic stroke varies between regions and over time in Ethiopia. The paucity of data has limited research output and consequently the response to this burden. Methods: Prospective cohort study was carried at stroke unit of Jimma University Medical Center from March 10- July 10, 2017. The outcome of interest was mortality and time to death. Data was analyzed using SPSS version 20. Multivariable Cox regression was used to identify the predictors of in hospital mortality and time to death from hospital arrival. Predictors with P< 0.05 was considered statistically significant. Results: A total of 116 eligible stroke patients were followed during the study period with the mean age of the patients was 55.1+14.0 years. Stroke accounted for 16.5 % of total medical admissions and 23.6 % of the total cases of in hospital mortality. A total of 91 (78.4%) of patients were discharged being alive making in hospital mortality of rate of 25 (21.6%). The mean time of in hospital mortality after admission was 4.38+3.The prominent suspected immediate cause for in hospital mortality was increased intracranial pressure 17 (68.0%). The mean length of hospital stay was 9.21+6.82days. Brain edema (AHR: 6.27, 95% CI: 2.50-15.76), urine incontinence (AHR: 3.48, 95% CI: 1.48-8.17), National Institute of Health Stroke Scale (NIHSS) >13 during hospital arrival (AHR: 22.58, 95% CI: 2.95-172.56) and diagnosis of stroke clinically alone (AHR: 4.96, 95% CI: 1.96-12.54) were the independent predictors of in hospital mortality. Conclusions: The mortality of stroke in this set up is similar to other low- and middle-resource countries. There should be burning need to establishing and strengthening the available stroke unit which are well-equipped and staffed intensive care units in different hospitals across the country is necessary.

scholarly journals Burden, Clinical Outcomes and Predictors of time to in Hospital Mortality among Adult Patients Admitted to Stroke Unit of Jimma University Medical Center: Prospective Cohort Study

2019 ◽  
Author(s):  
Ginenus Fekadu ◽  
Legese Chelkeba ◽  
Ayantu Kebede
Keyword(s):  
Cohort Study ◽  
Hospital Mortality ◽  
Prospective Cohort Study ◽  
Prospective Cohort ◽  
Stroke Unit ◽  
Medical Center ◽  
Female Ratio ◽  
Hospital Arrival ◽  
Time To Death ◽  
Jimma University

Abstract Background: The global burden of stroke epidemiology is changing rapidly. Over the 1990–2013 periods, there was a significant increase in the absolute number of deaths and incident events of stroke. The burden of stroke varies in Ethiopia between regions and over time. The paucity of data has limited research output and consequently the response to this burden in our country. Methods: Prospective cohort study was carried at stroke unit of Jimma University Medical Center (JUMC) from March 10- July 10, 2017. The outcome of interest was mortality and time to death. Data was analyzed using SPSS version 20. Multivariable Cox regression was used to identify the predictors of in hospital mortality and time to death from hospital arrival. Predictor variables with P< 0.05 was considered statistically significant. Results: A total of 116 eligible stroke patients were followed with the mean age of 55.1+14.0 years and males comprised of 73 (62.9%) with male: female ratio of 1.70:1. Stroke accounted for 16.5 % of total medical admissions and 23.6 % of in hospital mortality. Among the total, 91 (78.4%) patients discharged alive making in hospital mortality of rate of 25 (21.6%). The median time of in hospital mortality and length of hospital stay after admission of the patients was 4.38 days and 9.21 days, respectively. The prominent suspected immediate cause for in hospital mortality was increased intracranial pressure 17 (68.0%) followed by respiratory failure secondary to aspiration pneumonia 11 (44.0%). Brain edema (AHR: 6.27, 95% CI: 2.50-15.76), urine incontinence (AHR: 3.48, 95% CI: 1.48-8.17), National Institute of Health Stroke Scale (NIHSS) >13 during hospital arrival (AHR: 22.58, 95% CI: 2.95-172.56) and diagnosis of stroke clinically alone (AHR: 4.96, 95% CI: 1.96-12.54) were the independent predictors of time to in hospital mortality. Conclusions: The mortality rate of stroke in this set up was comparable with other low- and middle-resource countries. There should be burning need to establish and strengthen the available stroke units which are well-equipped and staffed with intensive health care teams across the country. Additionally, future work must be designed to identify the barriers to improve stroke outcomes and recovery.

scholarly journals Stroke Event Factors among Adult Patients Admitted to Stroke Unit of Jimma University Medical Center: Prospective Observational Study

2019 ◽  
Vol 2019 ◽  
pp. 1-8 ◽  
Author(s):  
Ginenus Fekadu ◽  
Hunduma Wakassa ◽  
Firew Tekle
Keyword(s):  
Observational Study ◽  
Rural Areas ◽  
Stroke Unit ◽  
Prospective Observational Study ◽  
Medical Center ◽  
Stroke Patients ◽  
Early Management ◽  
Hospital Arrival ◽  
The Mean ◽  
Jimma University

Background. The fact that the majority of patients come late creates management difficulties as these first hours are important to avoid secondary insults to the brain and preserve the ischemic penumbra. Although thrombolytic treatments are currently not available in our hospital, significant delays during the prehospital or in-hospital phases of care create management difficulties and would make such advanced treatments impossible in the future in Ethiopia. Methods. Prospective observational study was carried at stroke unit of Jimma University Medical Center for 4 consecutive months from March 10 to July 10, 2017. Data was cleaned and entered to Epidata version 3.1 and then exported and analyzed using SPSS version 20.0. Results. A total of 116 eligible stroke patients were recruited during the study period with mean age of 55.1±14.0 years, ranging from 23 to 96 years. The majority of stroke patients were males (62.9%) and from rural areas (72.4%). The median time elapsed between the onset of stroke symptoms and arrival to the hospital was 27 hours. Almost half (47.4%) of the patients presented within 24 hours and 26 (22.4%) patients presented to hospital beyond 72 hours. Majority of patients (40.5%) showed severe neurological deficit on admission and the mean National Institute of health stroke scale (NIHSS) was 15.71 ± 7.52. The mean Glasgow coma scale (GCS) was moderate (12.12±3.35). On hospital arrival systolic blood pressure (SBP) was highly elevated (≥140 mm Hg) in 65.5% of the patients. The circadian pattern showed a significant peak in morning for hemorrhagic stroke (35.7%) and afternoon for ischemic stroke (38.3%). Conclusions. The delay of hospital arrival was a challenge similar to other high income countries for early management of the patients. Studies that attempt to determine some of the factors that impede timely presentation in patients with strokes are advisable to address those issues further.

scholarly journals Do deaths from road traffic injuries follow a classical trimodal pattern in North West Ethiopia? A hospital-based prospective cohort study

BMJ Open ◽  
2021 ◽  
Vol 11 (12) ◽  
pp. e051017
Author(s):  
Zewditu Abdissa Denu ◽  
Mensur Osman Yassin ◽  
Telake Azale ◽  
Gashaw Andargie Biks ◽  
Kassahun Alemu Gelaye
Keyword(s):  
Cohort Study ◽  
Prospective Cohort Study ◽  
Prospective Cohort ◽  
Road Traffic ◽  
Age Groups ◽  
Hospital Arrival ◽  
Road Traffic Injuries ◽  
North West ◽  
Time To Death ◽  
North West Ethiopia

ObjectiveThe objective of this study was to identify timing distribution and predictors of deaths following road traffic injuries among all age groups at Gondar Comprehensive specialised hospital.DesignA single-centre prospective cohort study.SettingThe study hospital is a tertiary hospital in North West Ethiopia.ParticipantsWe enrolled 454 participants who sustained road traffic injuries in to the current study. All age groups and injury severity were included except those who arrived dead, had no attendant and when the injury time was unknown.Primary and secondary outcome measuresThe primary outcome was time to death measured in hours from injury time up to the 30th day of the injuries. Secondary outcomes were prehospital first aid, length of hospital stay and hospital arrival time. The article has been registered, with a unique identification number of research registry 6556.ResultsA total of 454 victims were followed for 275 534 person hours. There were 80 deaths with an overall incidence of 2.90 deaths per 10 000 person hours of observation (95% CI 2.77 to 3.03). The significant predictors of time to death were being a driver (AHR=2.26; 95% CI 1.09 to 4.65, AR=14.8), accident at interurban roads ((AHR (Adjusted HAzard Ratio=1.98; 95% CI 1.02 to 3.82, AR (Attributable Risk)=21%)), time from injury to hospital arrival (AHR=0.41; 95% CI 0.16 to 0.63; AR=3%), systolic blood pressure on admission of <90 mm Hg (AHR=3.66; 95% CI 2.14 to 6.26; AR=57%), Glasgow Coma Scale of <8 (AHR=7.39; 95% CI 3.0819 to 17.74464; AR=75.7%), head injury with polytrauma (AHR=2.32 (1.12774 4.79; AR=37%) and interaction of distance from hospital with prehospital care.ConclusionThough the maturation of trauma centres in many developed countries has changed the temporal pattern of deaths following any trauma, our study demonstrated that trauma deaths follow the traditional trimodal pattern. That implies that potentially preventable causes of death continued in low-resource countries.

scholarly journals Treatment Outcome and Its Determinants among Patients Admitted to Stroke Unit of Jimma University Medical Center, Southwest Ethiopia

2020 ◽  
Vol 2020 ◽  
pp. 1-8
Author(s):  
Ameha Zeleke Zewudie ◽  
Tolcha Regasa ◽  
Solomon Hambisa ◽  
Dejen Nureye ◽  
Yitagesu Mamo ◽  
...  
Keyword(s):  
Risk Factors ◽  
Treatment Outcome ◽  
Treatment Outcomes ◽  
Stroke Unit ◽  
Hemorrhagic Stroke ◽  
Medical Center ◽  
Stroke Patients ◽  
Poor Treatment ◽  
Poor Treatment Outcome ◽  
Jimma University

Background. Stroke is a public health problem in Ethiopia. Despite the high prevalence of stroke in Ethiopia, there is a paucity of data with regard to drug treatment, treatment outcome, and risk factors of poor treatment outcome of stroke. Hence, this study is aimed at assessing treatment outcome and its determinants among patients admitted to stroke unit of Jimma University Medical Center (JUMC). Methods. A two-year hospital-based retrospective cross-sectional study was employed to analyze the medical records of patients admitted with stroke to stroke unit of Jimma University Medical Centre from February 1st, 2016 to March 30th, 2018. Data was entered by Epidata manager version 4.0.2 and analyzed by SPSS version 24. Multivariable logistic regression analysis with the backward stepwise approach was done to identify independent predictors of poor treatment outcome of stroke. Variables with P value less than 0.05 were considered as statically significant determinants of poor treatment outcome. Results. Of 220 patients with stroke admitted to the Jimma University, 67.30% were male. Nearly two thirds (63.18%) of them had poor treatment outcomes. Dyslipidimics were administered to 60% of the patients, and the most popular antiplatelet used was aspirin, which was prescribed to 67.3% the patients. Age ≥ 65   adjusted   odd   ratio ((AOR): 2.56; 95% CI: 1.95-9.86, P = 0.001 ), presence of comorbidity (AOR: 5.25; 95% CI: 1.08-17.69, P < 0.001 ), admission with hemorrhagic stroke (AOR: 18.99; 95% CI: 7.05-42.07, P < 0.001 ), and admission to the hospital after 24 hour of stroke onset (AOR: 4.98; 95% CI: 1.09-21.91, P = 0.03 ) were independent predictors of poor treatment outcomes. Conclusion. Substantial numbers of stroke patients had poor treatment outcomes. Elderly patients, patients diagnosed with hemorrhagic stroke, patients with comorbidity, and those with delayed hospital admission were more likely to have poor treatment outcome. Hence, frequent monitoring and care should be given for the aforementioned patients. Awareness creation on the importance of early admission should be delivered particularly for patients who have risk factors of stroke (cardiovascular diseases).

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