Background: Skin disease affects people of all ages, yet children are one of the most common victims of it. Although some data indicate a high prevalence of skin disorders among Ethiopian primary schoolchildren, little is known regarding it, particularly in the study area. Hence, the study aimed to investigate the prevalence of skin disease and its associated factors among primary schoolchildren in Debre Berhan town, North Shoa, Ethiopia. Methods: Institutional-based cross-sectional study was conducted. The samples were chosen using a multistage stratified random sampling technique. Data were collected using both a self-administered and an interviewer-administered questionnaire. Children were clinically examined to detect and record the dermatological findings. A potassium hydroxide test was used to confirm some doubtful cases. The data were entered in Epi Info version 3.5.1 and analyzed using SPSS version 20.0. Variables with a p-value < 0.05 were designated as having statistical significance. Results: The overall point prevalence of any skin disease was 61.2% (95% CI: 56.4– 66.1). In a multivariable logistic regression model, a significant association between skin diseases and the occupation of the father being a farmer (AOR: 4.21, 95% CI: 1.06– 16.63), bad personal hygiene (AOR: 1.78, 95% CI: 1.03– 4.38), previous history of skin disease (AOR: 2.74, 95% CI: 1.41– 5.30), exchange of clothes and towels with other family members (AOR: 1.50, 95% CI: 1.09– 2.85), presence of trauma in the last one month (AOR: 2.09, 95% CI: 1.18– 3.72) and not being a member of health insurance (AOR: 1.95, 95% CI: 1.16– 3.28) has been found. Conclusion: The point prevalence of any skin disorder is alarmingly high. The commonest disorders found in this study were simple and could usually be cured easily. Hence, preventive and curative health services should be provided for these schoolchildren to achieve a considerable reduction in the prevalence of skin disorders.

Background: Globally, the co-occurrence of stunting and overweight or obesity (CSO) in the same individual is becoming an emerging layer of malnutrition and there is a paucity of information in low- and middle-income countries, particularly in sub-Saharan Africa. Hence, this study aimed to determine the pooled prevalence and determinants of concurrent stunting and overweight or obesity among under-five children in SSA. Methods: Secondary data analysis was conducted from a recent nationally representative Demographic and Health Survey dataset of 35 SSA countries. A total weighted sample of 210,565 under-five children was included in the study. A multivariable multilevel mixed effect model was employed to identify the determinant of the prevalence of under-5 CSO. The Intra-class Correlation Coefficient (ICC) and Likelihood Ratio (LR) test were used to assess the presence of the clustering effect. A p-value of p < 0.05 was used to declare statistical significance. Result: The pooled prevalence of concurrent stunting and overweight/obesity among under-five children was 1.82% (95% CI: 1.76, 1.87) in SSA. Across the SSA regions, the highest prevalence of CSO was reported in Southern Africa (2.64%, 95% CI: 2.17, 3.17) followed by the Central Africa region (2.21%, 95% CI: 2.06, 2.37). Under five children aged 12–23 months (AOR = 0.45, 95% CI: 0.34, 0.59), 24–35 months (AOR = 0.41, 95% CI: 0.32, 0.52), 36–59 months (AOR = 055, 95% CI: 0.43, 0.70), ever had no vaccination (AOR = 1.25, 95% CI: 1.09, 1.54), under-five children born from 25 to 34 years mother (AOR = 0.75, 95% CI: 0.61, 0.91), under-five children born from overweight/obese mothers (AOR = 1.63, 95% CI: 1.14, 2.34), and under-five children living in West Africa (AOR = 0.77, 95% CI: 0.61, 0.96) were significant determinants for under-five CSO. Conclusion: Concurrent stunting and overweight or obesity is becoming an emerging layer of malnutrition. Under five children born in the SSA region had almost a 2% overall risk of developing CSO. Age of the children, vaccination status, maternal age, maternal obesity, and region of SSA were significantly associated with under-five CSO. Therefore, nutrition policies and programs should base on the identified factors and promote a quality and nutritious diet to limit the risk of developing CSO in early life.

Background: Malaria infection during pregnancy endangers the pregnant woman, fetus, and newborn child. Thus, the use of an insecticide-treated net (ITN) is one of the most frequently advised methods for preventing malaria during pregnancy. Contrary findings have been reported in various studies on ITN utilization among pregnant women in Ethiopia. Therefore, this study was aimed to estimate the pooled prevalence of ITN utilization and its associated factors among pregnant women in Ethiopia. Methods: Published articles from PubMed, Google Scholar, Science Direct, AJOL and Cochrane library were systematically searched. All cross-sectional studies on ITN utilization among pregnant women were included in this meta-analysis. To estimate the pooled prevalence and odds ratio, a random-effect model was used; and a subgroup analysis was performed to identify the possible source of heterogeneity. Begg’s and Egger’s tests were used to identify possible publication bias. Results: Ten cross-sectional studies with 7,161 participants were included. The pooled prevalence of ITN utilization among all pregnant women who had access to ITN in Ethiopia was 59.42% (95% CI 51.14, 67.69). Statistically significant heterogeneity was observed (I² = 97.7%; p < 0.0001). Higher educational status (OR = 3.47, 95% CI 2.32, 5.2), pregnant women who had antenatal care visits (OR = 2.37, 95% CI 1.97, 2.65) and having good knowledge of malaria prevention practices (OR = 10.63, 95% CI 5.31, 21.29) were associated with ITN utilization among pregnant women. Conclusion: The utilization of ITNs among pregnant women was much lower than the national target. Higher education status, attending ANC and a good level of knowledge were found to be independent predictors of ITN utilization. Improving women’s understanding of ITNs will enhance their use, and the government and health sectors should encourage pregnant mothers to enroll in antenatal care.

Ischemic stroke is a common type of stroke that leads to death and functional disability in hypertensive patients. However, there are no well-studied non-invasive and less expensive fluid biomarkers routinely used to detect ischemic stroke in hypertensive patients. Hence, this study aimed to tease out the performance of D-dimer, fibrinogen, and the D-dimer to fibrinogen ratio (DDFR) in predicting hypertension-associated acute ischemic stroke. A hospital-based cross-sectional study was done from October 2022 to January 2022 at Yikatit 12 Hospital Medical College, Ethiopia. We recruited 55 hypertensive patients who had an ischemic stroke and 110 who did not. A ROC curve was used to calculate the areas under the curves (AUCs) and determine the diagnostic power of the D-dimer, fibrinogen, and DDFR. The Youden index was used to find the best cut-off points for biomarkers in detecting acute ischemic stroke. A De Long test was employed to show whether there was a significant difference between the AUCs of biomarkers in diagnosing ischemic stroke. D-dimer yielded the highest diagnostic power (AUC = 0.776) in detecting acute ischemic stroke, followed by DDFR (AUC = 0.763) and fibrinogen (AUC = 0.694), but there was no significant difference between them. At 0.52 μg/ml cut-off point, D-dimer had 82.9% sensitivity, 66.7% specificity, 62.5% PPV, and 85.3% NPV to diagnose acute ischemic stroke. Fibrinogen could detect acute ischemic stroke at 405.85 mg/dl level, with 70.0% sensitivity, 57.1% specificity, 41.2% PPV and 81.6% NPV. At a 1.83 ratio, DDFR might also identify ischemic stroke with 80.0% sensitivity, 67.1% specificity, 51.1% PPV, and 88.7% NPV. We showed D-dimer, fibrinogen, and DDFR as promising, affordable, and non-invasive biomarkers for the detection of ischemic stroke among subjects with hypertension. This will help clinicians make an early diagnosis and better guide patient therapy.

Objective To develop and validate a clinical risk score for in-hospital stroke mortality. Design The study used a retrospective cohort study design. Setting The study was carried out in a tertiary hospital in the Northwest Ethiopian region. Participants The study included 912 patients who had a stroke admitted to a tertiary hospital between 11 September 2018 and 7 March 2021. Main outcome measures Clinical risk score for in-hospital stroke mortality. Methods We used EpiData V.3.1 and R V.4.0.4 for data entry and analysis, respectively. Predictors of mortality were identified by multivariable logistic regression. A bootstrapping technique was performed to internally validate the model. Simplified risk scores were established from the beta coefficients of predictors of the final reduced model. Model performance was evaluated using the area under the receiver operating characteristic curve and calibration plot. Results From the total stroke cases, 132 (14.5%) patients died during the hospital stay. We developed a risk prediction model from eight prognostic determinants (age, sex, type of stroke, diabetes mellitus, temperature, Glasgow Coma Scale, pneumonia and creatinine). The area under the curve (AUC) of the model was 0.895 (95% CI: 0.859–0.932) for the original model and was the same for the bootstrapped model. The AUC of the simplified risk score model was 0.893 (95% CI: 0.856–0.929) with a calibration test p value of 0.225. Conclusions The prediction model was developed from eight easy-to-collect predictors. The model has excellent discrimination and calibration performance, similar to that of the risk score model. It is simple, easily remembered, and helps clinicians identify the risk of patients and manage it properly. Prospective studies in different healthcare settings are required to externally validate our risk score.

Hemoglobinopathies and hemolytic anemias (HHA) are genetic blood disorders associated with diverse clinical complications, affecting an estimated 2.1 billion people worldwide. The World Health Organization (WHO) African Region accounts for approximately 425.8 million individuals, or 20% of the global HHA prevalence, yet comprehensive assessments of this burden have been lacking. We present the first systematic analysis of HHA burden in the WHO African Region from 2000–2021 using data from the Global Burden of Disease (GBD) 2021 study. We estimated regional, sex-, and age-specific rates (per 100,000 population) of mortality, incidence at birth, and years lived with disability (YLDs) in five-year intervals. Mortality estimates were generated using the Cause of Death Ensemble model (CODEm), supplemented with spatiotemporal Gaussian process regression. Incidence at birth was estimated using DisMod-MR 2.1, a Bayesian meta-regression tool, while YLDs were calculated by multiplying prevalence by disability weights reflecting severity and duration. Between 2000 and 2021, the WHO African Region experienced persistently higher age-standardized death rates from HHA compared to global levels, although regional mortality declined over the period. Sickle cell disorder (SCD) was the predominant contributor, with the highest mortality [3.68 deaths (95% UI 2.04–6.29) per 100,000] and disability burden [41.08 YLDs (95% UI 26.09–58.61)], while thalassemias contributed the least. Disability-adjusted life years (DALYs) were concentrated in western sub-Saharan Africa, accounting for 71.3% of the regional burden. Age-specific estimates revealed that children under five years faced a disproportionate share of mortality and disability. Despite overall declines in mortality, the WHO African Region continues to bear a disproportionate global burden of HHA, particularly affecting young children. These findings underscore the urgent need for strengthened newborn screening, early treatment, and health system interventions to reduce preventable deaths and disability.