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Magnitude of risk factors and in-hospital mortality of stroke in Ethiopia: a systematic review and meta-analysis.

ABSTRACT: BACKGROUND:The morbidity and mortality of stroke is disproportionately high in developing countries owing to the poor health care system and poor neurologic interventions. Though a number of studies were conducted to estimate the in-hospital mortality rate of stroke in Ethiopia, the lack of a nationwide study that determines the overall magnitude of risk factors and in-hospital mortality rate of stroke is an important research gap. Meta-analysis is key to improve the accuracy of estimates through the use of more data sets. Thus, this study was aimed to determine the overall magnitude of risk factors and in-hospital mortality rate of stroke in Ethiopia. METHODS:This study was conducted following the PRISMA checklist. We searched from Google Scholar, PubMed, Science Direct, Web of Science, CINAHL, and Cochrane Library databases for studies. Each of the original studies was assessed using a tool for the risk of bias adapted for cross-sectional studies. Data were pooled and a random effect meta-analysis model was fitted to provide the overall magnitude of risk factors and in-hospital mortality rate of stroke. Also, the subgroup analyses were performed to examine how the in-hospital mortality rate varies across different groups of studies. RESULTS:In this study, the overall magnitude of hypertension, diabetes mellitus, and atrial fibrillation among stroke patients were 47% (95%CI: 40-54), 8% (95CI%:6-12), and 10% (95%CI: 5-19), respectively. The overall in-hospital mortality of stroke in Ethiopia was 18% (95%:14-22). The highest magnitude of in-hospital mortality of stroke was observed in SNNPR and the lowest was noted in Tigray region. In addition, the magnitude of the in-hospital mortality rate of stroke was 15.1% (95%CI: 11.3-19.4), and 19.6%(95%CI: 14.1-25.7), among studies published before and after 2016, respectively. CONCLUSIONS:Our pooled result showed that nearly one-fifth of stroke patients have died during hospitalization. The most common risk factor of stroke among the included studies was hypertension followed by atrial fibrillation and diabetes mellitus. There is a need for a better understanding of the factors associated with high blood pressure, especially in countries with a high risk of stroke.

SUBMITTER: Alene M

PROVIDER: S-EPMC7437163 | biostudies-literature | 2020 Aug

REPOSITORIES: biostudies-literature

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Magnitude of risk factors and in-hospital mortality of stroke in Ethiopia: a systematic review and meta-analysis.

Alene Muluneh M Assemie Moges Agazhe MA Yismaw Leltework L Ketema Daniel Bekele DB

BMC neurology 20200819 1

<h4>Background</h4>The morbidity and mortality of stroke is disproportionately high in developing countries owing to the poor health care system and poor neurologic interventions. Though a number of studies were conducted to estimate the in-hospital mortality rate of stroke in Ethiopia, the lack of a nationwide study that determines the overall magnitude of risk factors and in-hospital mortality rate of stroke is an important research gap. Meta-analysis is key to improve the accuracy of estimate ...[more]

PMID: 32814556

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Project description:BackgroundAlthough neonatal death is a global burden, it is the highest in sub-Saharan African countries such as Ethiopia. Moreover, there is disparity in the prevalence and associated factors of studies. Therefore, this study was aimed at providing pooled national prevalence and predictors of neonatal mortality in Ethiopia.MethodsThe following databases were systematically explored to search for articles: Boolean operator, Cochrane Library, PubMed, EMBASE, Hinari, and Google Scholar. Selection, screening, reviewing, and data extraction were done by two reviewers independently using Microsoft Excel spreadsheet. The modified Newcastle-Ottawa Scale (NOS) and the Joanna Briggs Institute Prevalence Critical Appraisal tools were used to assess the quality of evidence. All studies conducted in Ethiopia and reporting the prevalence and predictors of neonatal mortality were included. Data were extracted using Microsoft Excel spreadsheet software and imported into Stata version 14s for further analysis. Publication bias was checked using funnel plots and Egger's and Begg's tests. Heterogeneity was also checked by Higgins's method. A random effects meta-analysis model with 95% confidence interval was computed to estimate the pooled effect size (i.e., prevalence and odds ratio). Moreover, subgroup analysis based on region, sample size, and study design was done.ResultsAfter reviewing 88 studies, 12 studies fulfilled the inclusion criteria and were included in the meta-analysis. Pooled national prevalence of neonatal mortality in Ethiopia was 16.3% (95% CI: 12.1, 20.6, I 2 = 98.8%). The subgroup analysis indicated that the highest prevalence was observed in the Amhara region, 20.3% (95% CI: 9.6, 31.1), followed by Oromia, 18.8% (95% CI: 11.9, 49.4). Gestational age [AOR: 1.32 (95% CI: 1.07, 1.58)], neonatal sepsis [AOR: 1.23 (95% CI: 1.05, 1.4)], respiratory distress syndromes (RDS) [AOR: 1.18 (95% CI: 0.87, 1.49)], and place of residency [AOR: 1.93 (95% CI: 1.13, 2.73)] were the most important predictors.ConclusionsNeonatal mortality in Ethiopia was significantly decreased. There was evidence that neonatal sepsis, gestational age, and place of residency were the significant predictors. RDS were also a main predictor of mortality even if not statistically significant. We strongly recommended that health care workers should give a priority for preterm neonates with diagnosis with sepsis and RDS.

Project description:BackgroundPostpartum hemorrhage or postpartum bleeding (PPH) is often defined as loss of > 500 ml of blood after vaginal delivery or > 1000 ml after cesarean delivery within 24 h. Postpartum hemorrhage is a leading direct cause of maternal morbidity and mortality in Ethiopia. Therefore, the main objective of this systematic review and meta-analysis was to estimate the pooled magnitude of postpartum hemorrhage and the pooled effect size of the associated factors in Ethiopia.MethodsPrimary studies were searched from PubMed/MEDLINE online, Science Direct, Hinari, Cochrane Library, CINAHL, African Journals Online, Google and Google Scholars databases. The searching of the primary studies included for this systematic review and meta-analysis was limited by papers published from 2010 to October 10/2021. The data extraction format was prepared in Microsoft Excel and extracted data was exported to Stata Version 16.0 statistical software for analysis. A random effect meta-analysis model was used. Statistical heterogeneity was evaluated by the I2 test and Egger's weighted regression test was used to assess publication bias.ResultA total of 21 studies were included in this meta-analysis. The pooled magnitude of postpartum hemorrhage in Ethiopia was 8.24% [(95% CI 7.07, 9.40]. Older age [OR = 5.038 (95% CI 2.774, 9.151)], prolonged labor [OR = 4.054 (95% CI 1.484, 11.074)], absence of anti-natal care visits (ANC) [OR = 13.84 (95% CI 5.57, 34.346)], grand-multiparty [OR = 6.584 (95% CI 1.902, 22.795)], and history of postpartum hemorrhage [OR = 4.355 (95% CI 2.347, 8.079)] were factors associated with the occurrence of postpartum hemorrhage.ConclusionsThe pooled magnitude of postpartum hemorrhage among post-natal mothers in Ethiopia was moderately high. The finding of this study will strongly help different stakeholder working in maternal and child health to focus on the main contributors' factors to reduce post-partum hemorrhage among postnatal mothers. Health professionals attending labor and delivery should give more attention to advanced aged mothers, grand-multipara mothers and mothers who had a history of post-partum hemorrhage due to higher risk for postpartum hemorrhage. Encouraging to continue ANC visit and prevent prolonged labor should also be recommended to decrease postpartum hemorrhage.

Project description:BackgroundPerinatal mortality remains a problem in Ethiopia. Findings of primary studies varied on level of perinatal mortality and its predictors including inter-pregnancy interval. The aim of this review was to estimate the pooled perinatal mortality rate, its trend overtime and verify the association with inter-pregnancy interval in Ethiopian context.MethodsStudies were accessed through the electronic web-based search strategies from PubMed, ScienceDirect, Hinari for health via Research4Life, Google and Advanced Google search, and retrieving via relevant references using a combination of medical subject headings (MeSH terms) and key words related with inter-pregnancy interval. R version 3.4.3 software was used for the meta-analysis. A forest plot and I2 test were done to assess heterogeneity. Sensitivity analysis and subgroup analysis were done to deal with heterogeneity. A weighted inverse variance random-effects model was applied to estimate pooled effect sizes. A funnel plot and Egger's regression test were done to check publication bias.ResultsA total of 34 studies used to answer review questions (30 for perinatal mortality rate and its trend estimation from 1997 to 2019 and 8 for its relationship with inter-pregnancy interval). The pooled perinatal mortality rate was 51.3 per 1000 total births (95% CI: 40.8-62.8). The pooled stillbirth rate was 36.9 per 1000 births (95% CI: 27.3-47.8) and early neonatal mortality rate was 29.5 per 1000 live births (95% CI: 23.9-35.6). Increasing trend was seen in stillbirth rate (23.7 to 36.9 per 1000 births) while decreasing trend in early neonatal mortality rate (51 to 29.5 per 1000 live births). Slight reduction trend was observed in overall perinatal mortality rate (66 to 51.3 per 1000 births). An inter-pregnancy interval less than 15 months was found to be statistically significantly associated with perinatal mortality; pooled OR = 2.76 (95% CI: 2.1-3.62). Spacing pregnancy for at least 15 months was related with reducing perinatal mortality by 64% (95% CI: 52.38, 72.38%).ConclusionsIn Ethiopia, perinatal mortality rate remains high. Insignificant reduction trend was observed in overall perinatal mortality rate. Counseling couples about the importance of spacing pregnancy and intensifying long-acting contraceptive use will help in reducing perinatal mortality related to poor pregnancy spacing.

Project description:Background The burden and contribution of modifiable risk factors of stroke in Ethiopia are unclear. Knowledge about this burden and modifying risk factors is pivotal for establishing stroke prevention strategies. In recent decades, the issue of lifestyle and behavioral modification is a key to improve the quality of life. The modifiable risk factors are an importance as intervention strategies aimed at reducing these factors can subsequently reduce the risk of stroke. So far, many primary studies were conducted to estimate the burden of stroke and modifiable risk factors in Ethiopia. However, the lack of a nationwide study that determines the overall pooled estimation of burden and modifiable risk factors of stroke is a research gap. Methods To conduct this systemic review and meta-analysis, we are following the PRISMA checklist. Three authors searched and extracted the data from the CINAHL (EBSCO), MEDLINE (via Ovid), PubMed, EMcare, African Journals Online (AJOL), and Google scholar. The quality of the primary study was assessed using the Newcastle-Ottawa Scale (NOS) by two independent reviewers. The primary studies with low and moderate risk of bias were included in the final analysis. The authors presented the pooled estimated burden of stroke and its modifiable risk factors. The registered protocol number in PROSPERO was CRD42020221906. Results In this study, the pooled burden of hemorrhagic and ischemic stroke were 46.42% (95%CI: 41.82–51.53; I2 = 91.6%) and 51.40% (95%CI: 46.97–55.82; I2 = 85.5%) respectively. The overall magnitude of modifiable risk factor of hypertension, alcohol consumption and dyslipidemia among stroke patients were 49% (95%CI: 43.59, 54.41), 24.96% (95CI%:15.01, 34.90), and 20.99% (95%CI: 11.10, 30.88), respectively. The least proportion of stroke recovery was in the Oromia region (67.38 (95%CI: 41.60–93.17; I2 = 98.1%). Farther more, the proportion of stroke recovery was decreased after 2017 (70.50 (56.80–84.20). Conclusions In our study, more than 90% of stroke patients had one or more modifiable risk factors. All identified modifiable stroke risk factors are major public health issues in Ethiopia. Therefore, strategy is designed for stroke prevention to decrease stroke burden through targeted modification of a single risk factor, or a cluster of multiple risk factors, used on a population, community, or individual level.

Project description:BACKGROUND: The relationship between dietary glycemic index, glycemic load and risk of coronary heart disease (CHD), stroke, and stroke-related mortality is inconsistent. METHODS: We systematically searched the MEDLINE, EMBASE, and Science Citation Index Expanded databases using glycemic index, glycemic load, and cardiovascular disease and reference lists of retrieved articles up to April 30, 2012. We included prospective studies with glycemic index and glycemic load as the exposure and incidence of fatal and nonfatal CHD, stroke, and stroke-related mortality as the outcome variable. Pooled relative risks (RR) and 95% confidence intervals (CI) were calculated using random-effects models. RESULTS: Fifteen prospective studies with a total of 438,073 participants and 9,424 CHD cases, 2,123 stroke cases, and 342 deaths from stroke were included in the meta-analysis. Gender significantly modified the effects of glycemic index and glycemic load on CHD risk, and high glycemic load level was associated with higher risk of CHD in women (RR=1.49, 95%CI 1.27-1.73), but not in men (RR=1.08, 95%CI 0.91-1.27). Stratified meta-analysis by body mass index indicated that among overweight and obese subjects, dietary glycemic load level were associated with increased risk of CHD (RR=1.49, 95%CI 1.27-1.76; P for interaction=0.003). Higher dietary glycemic load, but not glycemic index, was positively associated with stroke (RR=1.19, 95% CI 1.00-1.43). There is a linear dose-response relationship between dietary glycemic load and increased risk of CHD, with pooled RR of 1.05 (95%CI 1.02-1.08) per 50-unit increment in glycemic load level. CONCLUSION: High dietary glycemic load is associated with a higher risk of CHD and stroke, and there is a linear dose-response relationship between glycemic load and CHD risk. Dietary glycemic index is slightly associated with risk of CHD, but not with stroke and stroke-related death. Further studies are needed to verify the effects of gender and body weight on cardiovascular diseases.

Project description:Several studies have suggested that depression is associated with an increased risk of stroke; however, the results are inconsistent.To conduct a systematic review and meta-analysis of prospective studies assessing the association between depression and risk of developing stroke in adults.A search of MEDLINE, EMBASE, and PsycINFO databases (to May 2011) was supplemented by manual searches of bibliographies of key retrieved articles and relevant reviews.We included prospective cohort studies that reported risk estimates of stroke morbidity or mortality by baseline or updated depression status assessed by self-reported scales or clinician diagnosis.Two independent reviewers extracted data on depression status at baseline, risk estimates of stroke, study quality, and methods used to assess depression and stroke. Hazard ratios (HRs) were pooled using fixed-effect or random-effects models when appropriate. Associations were tested in subgroups representing different participant and study characteristics. Publication bias was evaluated with funnel plots and Begg test.The search yielded 28 prospective cohort studies (comprising 317,540 participants) that reported 8478 stroke cases (morbidity and mortality) during a follow-up period ranging from 2 to 29 years. The pooled adjusted HRs were 1.45 (95% CI, 1.29-1.63; P for heterogeneity <.001; random-effects model) for total stroke, 1.55 (95% CI, 1.25-1.93; P for heterogeneity = .31; fixed-effects model) for fatal stroke (8 studies), and 1.25 (95% CI, 1.11-1.40; P for heterogeneity = .34; fixed-effects model) for ischemic stroke (6 studies). The estimated absolute risk differences associated with depression were 106 cases for total stroke, 53 cases for ischemic stroke, and 22 cases for fatal stroke per 100,000 individuals per year. The increased risk of total stroke associated with depression was consistent across most subgroups.Depression is associated with a significantly increased risk of stroke morbidity and mortality.

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Magnitude of risk factors and in-hospital mortality of stroke in Ethiopia: a systematic review and meta-analysis.

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Magnitude of risk factors and in-hospital mortality of stroke in Ethiopia: a systematic review and meta-analysis.

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