Introduction Traumatic brain injury is a major global public health problem causing substantial mortality among the adult population. Hence, this study aimed to determine the predictors of mortality among adult traumatic brain injury patients in Felegehiwot Comprehensive Specialized Hospital in Northwest Ethiopia during 2020. Methods A retrospective cohort study was conducted at Felegehiwot Comprehensive Specialized Hospital using anonymized patient data obtained from chart review. Descriptive statistics were used to summarise the patient characteristics. The Kaplan–Meier survival curve and log-rank test were used to test for differences in survival status among groups. The Cox proportional hazards regression model was used at the 5% level of significance to determine the net effect of each explanatory variable on time to death. Results In total, 338 patients aged ≥15 years and diagnosed with traumatic brain injury were included in the analysis. Among these patients, 103 (30.45%) died, giving a crude death rate of 25.53 per 1000 (95% CI: 21.05–30.98) person-days of follow-up. The overall median survival time was 44 days. The independent predictors of mortality after diagnosis of traumatic brain injury were admission Glasgow coma scale score ≤ 8 (adjusted hazard ratio (AHR): 4.85; 95% confidence interval (CI): 1.73–13.62), bilateral non-reactive pupils at admission (AHR: 2.00 (95% CI: 1.10–3.71), elevated systolic blood pressure at admission (AHR: 0.31; 95% CI:0.11–0.86), elevated diastolic blood pressure at admission (AHR: 3.54; 95% CI: 1.33–9.43), and haematoma evacuation (AHR: 0.42; 95% CI: 0.16–0.90). Discussion The Survival status of traumatic brain injury patients was relatively low in this study. Glasgow coma scale score, bilateral non-reactive pupils, and elevated blood pressure were significant predictors of mortality. Further prospective follow-up studies that include residence and occupation are recommended.

Background: Low birth weight neonates are subjected to different comorbidities due to anatomical and physiological immaturity. Globally, 60-80% of neonatal mortality was due to low birth weight. Hence, this study aimed to assess the survival status and predictors of mortality among low birth weight neonates. Methods: An institutional-based retrospective cohort study design was conducted among 718 low birth weight neonates admitted to the neonatal intensive care unit from January 1, 2017, to December 30, 2019, at Felege Hiwot Comprehensive Specialized Hospital. Data were entered into Epi data version 3.1 and analyzed with STATA version 14. Kaplan-Meier curves together with a Log rank test were used to estimate the survival time and showed the presence of differences among groups. Cox proportional-hazard regression was used to estimate the hazard ratio at the 5% level of significance to determine the net effect of each explanatory variable on survival status. Results: The overall incidence density was 35.3 per 1000 person-day observations (CI: 30.8 −40.6) with 5715 follow-up days. Deliveries outside the health institution [AHR; 2.31 (95% CI: 1.20-4.42)], maternal age <18 years [AHR; 3.08 (95% CI: 1.64-5.81)] and maternal age >35 years [AHR; 3.83 (95% CI: 2.00-7.31)], neonatal sepsis [AHR; 2.33 (95% CI: 1.38-3.94)], neonatal respiratory distress syndrome [AHR; 1.92 (95% CI: 1.27-2.89)], necrotizing enterocolitis [AHR; 3.09 (95% CI: 1.69-5.64)] and birth weight <1000 gm [AHR; 3.61 (95% CI: 1.73-7.55)] were found to be significant predictors. Conclusion:This study showed that two of the seven low birth weight neonates died during the follow-up period. Therefore, it is better for health care providers and other stakeholders to focus more on early diagnosis and management of low birth weight neonates with sepsis, respiratory distress syndrome, necrotizing enterocolitis and counseling mothers on the risk of having a child in early and old age.

Introduction: Several kinds of researches are available on preterm mortality in the East Africa continent; however, it is inconsistent and inconclusive, which requires the pooled evidence to recognize the burden in general. Purpose: To collect and synthesis evidence on preterm mortality and identify factors in the East Africa continent. Methods: PubMed, Google Scholar, Hinary, Cochrane library, research gate, and institutional repositories were retrieved to identity eligible articles through Preferred Reporting Items for Systematic Review and Meta-Analysis (PRISMA) guidelines. The articles were selected if the publication period is between 2010-2021 G.C. Data were extracted by a standardized JBI data extraction format for mortality rate and stratified the associated factors. Then exported to STATA 14 for further analysis. I 2 and Egger's tests were employed to estimate the heterogeneity and publication bias respectively. Subgroup analysis based on country, study design, year of publication, and the sample size was also examined. Result: This meta-analysis included 32 articles with a total of 21,405 study participants. The pooled mortality rate among preterm in the East Africa continent was found to be 19.2% (95% CI (confidence interval (16.0-22.4)). Regarding the study design, the mortality rate was found to be 18.1%, 19.4%, and 19.7% concerning the prospective cohort, retrospective cohort, and cross-sectional studies. The pooled odds of mortality among preterm with respiratory distress syndrome decreased survival by nearly three folds [AOR (Adjusted odds ratio ¼ 3.2; 95% CI: 22, 4.6)] as compared to their counterparts. Similarly, preterm neonates presented with birth asphyxia were nearly three times higher in death as compared with preterm without birth asphyxia [AOR ¼ 2.6; 95% CI: 1.9, 3.4]. Conclusion: Preterm mortality was found to be unacceptably high in Eastern Africa continent. Fortunately, the main causes of death were found to be respiratory distress syndrome and birth asphyxia which are preventable and treatable hence early detection and timely management of this problem are highly recommended to improve preterm survival.

BackgroundStroke is the second leading cause of death worldwide, with a significant increase in stroke burden over the last two and half decades, especially in developing countries. African countries are undergoing an epidemiological transition from being dominated by infectious diseases to being double-burdened by non-communicable diseases, with existing infectious diseases driven by sociodemographic and lifestyle changes and a weak healthcare system. Data on the risk profile, clinical presentation, and predictors of stroke subtypes are still limited. Therefore, the main aim of this study was to assess the risk profile, clinical presentation, and predictors of stroke in public referral hospitals of Northwest Ethiopia.MethodsFor this study, 554 patients with stroke admitted to three public referral hospitals were prospectively followed up. Data were collected using a pre-tested interviewer-administered questionnaire. STATA version 16 was used for data analyses. Candidate variables significant in bivariate analysis were selected for multivariate binary logistic regression, and statistical significance was set at a p &lt; 0.05.ResultsOf the 554 patients with stroke, 60.3% had an ischemic stroke. The mean age of the participants was 61 ± 12.85 years, and more than half (53.25%) of them were women. The most common risk factor identified was hypertension (29.7%), followed by congestive heart failure. The most common clinical presentation was hemiparesis, which was reported by 57.7% of the patients, followed by loss of consciousness (20.7%) and aphasia (9%). Through multivariable logistic regression, age (AOR = 1.03, 95% CI:1.01–1.05), sedentary physical activity level (AOR = 6.78, 95% CI:1.97–23.32), absence of a family history of chronic illness (AOR = 3.79, 95% CI:2.21–6.48), hypertension (AOR=0.51, 95% CI:0.31–0.85), and past stroke (AOR = 3.54, 95% CI:0.93–13.49) were found to be independent determinants of the stroke subtype.ConclusionAge, the level of sedentary physical activity, absence of a family history of chronic illness, hypertension, and past stroke were independent determinants of stroke subtype.

BackgroundIn low-and middle-income countries, post-stroke cognitive impairment (PSCI) is the least investigated stroke complication that clinically is given little attention. Finding patients who are at high risk of having cognitive problems after a stroke could allow targeted follow-up and help with prognosis discussions, which would then contribute to improved treatment outcomes. The main aim of this study was to determine the incidence and predictors of PSCI among stroke survivors in Northwest Ethiopia.MethodsThe study was a multicenter prospective cohort study. The study participants were 403 stroke survivors who were alive on follow-up after 3 months of stroke onset at the neurology department of three hospitals in Northwest Ethiopia. To investigate the link between the outcome and the explanatory variables, analyses of bivariable and logistic multivariable regression were performed. A value of p of 0.05 or less was regarded as statistically significant, and data were presented as odds ratios and 95% confidence intervals.ResultsThe mean age of the participants was 61.3 years (SD = 0.7), 56% were females, the mean time from symptom onset to hospital arrival was 46 h (SD = 3.32), and the mean National Institute of Health Stroke Scale (NIHSS) score at admission was 14.79 (SD = 0.25). PSCI was observed in 122 patients (30.3%) after 90 days of stroke onset, that is, 83 (20.6%) of female and 39 (9.7%) of male stroke survivors. The result of multivariable logistic regression analysis revealed PSCI was independently associated with age (adjusted OR = 1.04, 95% CI = 1.061–1.981), women (AOR = 1.390, 95% CI = 1.221–2.690), admission modified Rankin scale (mRS) (AOR = 1.629, 95% CI = 1.381–2.037), moderate Glasgow coma scale (GCS) score (AOR = 1.149, 95% CI = 1.402–3.281), and poor GCS score (AOR = 1.632, 95% CI = 1.610–4.361) and stage one (AOR = 1.428, 95% CI = 1.198–2.922) and stage two hypertension (AOR = 1.255, 95% CI = 1.107–2.609).ConclusionNearly one-third of stroke survivors developed PSCI. Moreover, further research is needed with a larger sample size, showing a time trend and longer follow-up duration.