Prevalence and associated factors of infection in children with nephrotic syndrome aged 2-18 years in the northwest and east Amhara region, Ethiopia: a multi-center cross-sectional retrospective study.

BACKGROUND: Infection is the most common complication of pediatric patients with nephrotic syndrome. The factors associated with infection in nephrotic syndrome are lacking. The objective of the study was to identify the prevalence and associated factors among children with nephrotic syndrome aged 2 to 18 years. METHODS: We conducted a hospital-based retrospective cross-sectional study. The data collector installed an Epi5 collector electronic data-collecting tool from Google Play. Then, we exported the data to Stata version 15.1 for analysis. The mean, standard deviation, frequency, and percentage were used for descriptive statistics. The logistic regression model was used to identify the factors associated with infection. RESULTS: In this study, the prevalence of infection among nephrotic syndrome children is 39.8% (95%CI: 30.7, 49.7). The types of infection identified were pneumonia, urinary tract infection, diarrheal disease, cutaneous fungal infection, intestinal parasitic infection, and sepsis. The presence of hematuria increased the odds of infection by 5-times. On the other hand, low level of serum albumin increased the odds of infection by 7%. Being a rural resident increased the odds of infection by 3.3-times as compared to urban. CONCLUSIONS: Serum albumin level, presence of hematuria, and rural residence were significantly associated with infection. We recommended a longitudinal incidence study on large sample size at multicenter to strengthen this finding.

Predicting adverse birth outcome among childbearing women in Sub-Saharan Africa: employing innovative machine learning techniques.

BACKGROUND: Adverse birth outcomes, including preterm birth, low birth weight, and stillbirth, remain a major global health challenge, particularly in developing regions. Understanding the possible risk factors is crucial for designing effective interventions for birth outcomes. Accordingly, this study aimed to develop a predictive model for adverse birth outcomes among childbearing women in Sub-Saharan Africa using advanced machine learning techniques. Additionally, this study aimed to employ a novel data science interpretability techniques to identify the key risk factors and quantify the impact of each feature on the model prediction. METHODS: The study population involved women of childbearing age from 26 Sub-Saharan African countries who had given birth within five years before the data collection, totaling 139,659 participants. Our data source was a recent Demographic Health Survey (DHS). We utilized various data balancing techniques. Ten advanced machine learning algorithms were employed, with the dataset split into 80% training and 20% testing sets. Model evaluation was conducted using various performance metrics, along with hyperparameter optimization. Association rule mining and SHAP analysis were employed to enhance model interpretability. RESULTS: Based on our findings, about 28.59% (95% CI: 28.36, 28.83) of childbearing women in Sub-Saharan Africa experienced adverse birth outcomes. After repeated experimentation and evaluation, the random forest model emerged as the top-performing machine learning algorithm, with an AUC of 0.95 and an accuracy of 88.0%. The key risk factors identified were home deliveries, lack of prenatal iron supplementation, fewer than four antenatal care (ANC) visits, short and long delivery intervals, unwanted pregnancy, primiparous mothers, and geographic location in the West African region. CONCLUSION: The region continues to face persistent adverse birth outcomes, emphasizing the urgent need for increased attention and action. Encouragingly, advanced machine learning methods, particularly the random forest algorithm, have uncovered crucial insights that can guide targeted actions. Specifically, the analysis identifies risky groups, including first-time mothers, women with short or long birth intervals, and those with unwanted pregnancies. To address the needs of these high-risk women, the researchers recommend immediately providing iron supplements, scheduling comprehensive prenatal care, and strongly encouraging facility-based deliveries or skilled birth attendance.

Anthropometric failures and its predictors among under five children in Ethiopia: multilevel logistic regression model using 2019 Ethiopian demographic and health survey data.

BACKGROUND: Composite Index of Anthropometric Failure (CIAF) combines all three forms of anthropometric failures to assess undernutrition status of children. There is no study on CIAF to identify the real and severe form of under nutrition among Ethiopian children that addressed community level factors. So, this study determined CIAF and identified important factors which helps to design appropriate intervention strategies by using multi-level advanced statistical model. METHODS: The study included 5,530 under five children and utilized a secondary data (EMDHS 2019) which was collected through community-based and cross-sectionally from March 21 to June 28, 2019. Composite index of anthropometric failure among under five children was assessed and a two-stage sampling technique was used to select the study participants. Descriptive summary statistics was computed. A multi-level binary logistic regression model was employed to identify important predictors of CIAF in under five children. Adjusted odds ratio with its 95% CI was estimated and level of significance 0.05 was used to determine significant predictors of CIAF. RESULTS: The prevalence of composite index of anthropometric failure (CIAF) was 40.69% (95% CI: 39.41, 42.00) in Ethiopia. Both individual and community level predictors were identified for CIAF in under five children. Among individual level predictors being male sex, older age, short birth interval, from mothers who have not formal education, and from poor household wealth quintile were associated with higher odds of CIAF among under five children. Low community women literacy and being from agriculturally based regions were the community level predictors that were associated with higher odds of CIAF in under five children in Ethiopia. CONCLUSIONS: The burden of composite index of anthropometric failure in under five children was high in Ethiopia. Age of child, sex of child, preceding birth interval, mother's education, household wealth index, community women literacy and administrative regions of Ethiopia were identified as significant predictors of CIAF. Therefore, emphasis should be given for those factors to decrease the prevalence of CIAF in under five children in Ethiopia.

Factors associated with neonatal jaundice among neonates admitted at referral hospitals in northeast Ethiopia: a facility-based unmatched case-control study.

BACKGROUND: Neonatal jaundice is a significant contributor to illness and death in newborns, leading to frequent admissions to neonatal intensive care units. To better understand this issue, a study was conducted to identify the factors contributing to neonatal jaundice among newborns admitted to Dessie and Woldia comprehensive specialized hospitals in northeast Ethiopia. METHODS: The study took place from April 1 to May 30, 2022, using unmatched case-control design. A total of 320 neonates paired with their mothers were involved, including 64 cases and 256 controls. Data were collected through a structured interviewer-administered questionnaire and a review of medical records. The collected data were analyzed using SPSS Version 23, and a multivariate logistic regression model was employed to understand the relationship between independent factors and the occurrence of neonatal jaundice. Statistical significance was determined at a threshold of P value less than 0.05. RESULTS: The study findings revealed that maternal age over 35 years, residing in urban areas [adjusted odds ratio (AOR) = 2.4, 95% confidence interval (CI): 1.23, 4.82], male gender (AOR = 4.3, 95% CI: 1.90, 9.74), prematurity (AOR = 3.9, 95% CI: 1.88, 8.09), and ABO incompatibility (AOR = 2.6, 95% CI: 1.16, 5.96) were significant determinants of neonatal jaundice. Conversely, the study indicated that cesarean birth was associated with a 76% lower likelihood of infant jaundice compared to vaginal delivery (AOR = 0.24, 95% CI: 0.08, 0.72). CONCLUSION: To prevent, diagnose, and treat neonatal jaundice effectively, efforts should primarily focus on managing ABO incompatibility and early detection of prematurity. Additionally, special attention should be given to neonates born through vaginal delivery, those with mothers over 35 years old, and those residing in urban areas, as they are at higher risk of developing newborn jaundice. Close monitoring of high-risk mother-infant pairs during the antenatal and postnatal periods, along with early intervention, is crucial for reducing the severity of neonatal jaundice in this study setting.

Epilepsy Treatment Outcome and Its Predictors Among Children Who Had Chronic Follow Up at Dessie Comprehensive Specialized Hospital.

Introduction: Epilepsy is a chronic non-communicable disease of the brain that affects millions of people worldwide. A significant number of children are affected globally, and most live in developing countries, often with physical and cognitive disabilities. Regardless of these factors, epilepsy is poorly controlled, particularly in the developing countries. Thus, this study aimed to assess the magnitude of treatment outcomes and its predictors among pediatrics patients with epilepsy who were followed-up at the Dessie Comprehensive Specialized Hospital, Northeast Ethiopia. Methods: Hospital-based cross-sectional study was conducted from 1 June 2022 to 30 August 2022. A total of 200 patients with epilepsy were included in this study. Data were collected through face-to-face interviews, and by reviewing medical records. The collected data were entered into Epi-data version 4.6 and exported to SPSS version 25.0. Descriptive statistics such as frequencies, percentages, means and standard deviations were computed. Binary and multivariate logistic regression analyses were performed. Variables with p < 0.25 in bivariate analysis were entered into multivariable logistic regression. In multivariable analysis, adjusted odd ratio with 95% CI and p-value less than 0.05 were considered statistically significant. Results: Of 200 pediatric patients with epilepsy, 66 (34.5%) had poor treatment outcomes. In the multivariate analysis, 11-15 years of age (AOR = 4.08; 95% CI = 1.202, 13.848), poor treatment adherence (AOR = 3.21; 95% CI = 1.421, 7.249), history of more seizure frequency before starting treatment (AOR = 4.19; 95% CI = 1.984, 8.834) and history of head injury (AOR = 3.03; 95% CI = 1.502, 6.112) were significantly associated with poor treatment outcomes in pediatric patients with epilepsy. Conclusion: Significant proportion of pediatric patients with epilepsy had poor treatment outcomes. Therefore, health-care workers should strictly follow patient treatment especially for pediatric epileptic patients' who have poor treatment adherence, more seizure frequency history, head injury history and whose age were 11-15 years old.

COVID-19 vaccine acceptance in the second wave of the pandemic among university students in Ethiopia: application of the health belief model.

Background: The first case of COVID-19 virus was reported in Africa on 14 February 2020. The pandemic became more aggressive in the continent during the second wave than the first wave. Promoting vaccination behavior is an unparalleled measure to curb the spread of the pandemic. Regarding this, the health belief model (HBM) is the major model for understanding health behaviors. This study aimed to examine predictors of intended COVID-19 vaccine acceptance in the second wave of the pandemic among university students in Ethiopia using HBM. Methods: A cross-sectional study was conducted among 423 randomly selected medical and health science students at the University of Gondar from 21 August to 15 September 2020. Analysis of data was performed using STATA 14.0. Linear regression analysis was applied and a p value of less than 0.05 was used to declare statistical significance. Results: Among the total participants, 293 [72.2% (95.0%: CI: 67.2-76.8)] of them scored above the mean of COVID-19 vaccine acceptance. HBM explained nearly 46.3% (adjusted R2 = 0.463) variance in intention to receive the COVID-19 vaccine. Year of study (ß = 0.288; 95% CI: 0.144-0.056), using social media (ß = 0.58; 95% CI: 1.546-2.804), existing chronic disease (ß = 0.12; 95% CI: 0.042-0.433), perceived overall health condition (ß = 0.117; 95% CI: 0.307-0.091), perceived susceptibility (ß = 0.58; 95% CI: 1.546-2.804), perceived benefit (ß = 0.338; 95% CI: 1.578-2.863), and cues to action (ß = 0.49; 95% CI: 0.388-0.99) were significantly associated with intended COVID-19 vaccine acceptance at p value < 0.5. Conclusion: Approximately, three-quarters of the participants were above the mean score of COVID-19 vaccine acceptance, which is higher compared to previous reports in resource-limited settings. Interventions in this study setting chould include placing emphasis on the risks of acquiring COVID-19, enhancing perceived benefits of COVID-19 vaccination and improving cues to action by advocating COVID-19 vaccination. Our findings also implied that social media health campaigns are significant factor in COVID-19 vaccination behavioral change in this study setting.

School Feeding and Nutritional Status of Students in Dubti District, Afar, Northeast Ethiopia: Comparative Cross-Sectional Study.

Background: Providing food to the school children is an important means of compacting malnutrition especially in high food insecure areas. Our study was conducted to evaluate the association between school feeding and nutritional status among students in primary schools of Dubti district in Afar region. Methods: A comparative cross-sectional study was employed on 936 primary school students from March 15-31/2021. For data collection, structured questionnaire was administered by the interviewer. Descriptive statistics as well as logistic regression was conducted. WHO Anthro-plus software was used to compute anthropometric data. Adjusted odds ratio with 95% CI was calculated to identify the level of association. Variables with p-value <0.05 were taken as statistical level of significance. Results: A total of 936 primary school students, with 100% response rate, were included in the current study. The prevalence of stunting in school fed and non-school fed students was 13.7% 95% CI (11, 17) and 21.6% 95% CI (18, 25), respectively. The prevalence of thinness in school fed and non-school fed students was 4.9% 95% CI (3, 7) and 13.9% 95% CI (11, 17), respectively. Even though no record of overweight and obesity were found in non-school fed students, 5.4% 95% CI (3, 7) among school fed students was overweight/obese. Grade level, diet information source, media source availability, maternal age, the critical time for hand washing, and nutrition education were found to be predictors of malnutrition in both groups of students. Conclusion: The magnitude of stunting and thinness in school fed students is found to be lower, but overnutrition is higher than non-school fed. Grade level of students and diet selection information were determinants that affected the nutritional status of students. Coordinated education regarding good feeding practice, and personal as well as environmental hygiene should be given to the students and their families.

Spatial distribution of short birth interval and associated factors among reproductive age women in Ethiopia: spatial and multilevel analysis of 2019 Ethiopian mini demographic and health survey.

BACKGROUND: Short Birth Interval negatively affects the health of both mothers and children in developing countries. Studies conducted in Ethiopia on the spatial variation and determinants of individual and community-level factors about short birth intervals were limited. Thus, this study was intended to assess the spatial variation of the short birth interval and its determinants in Ethiopia. METHODS: This study is a secondary analysis of the Ethiopian Demographic and Health Survey (mini EDHS 2019). A total of 1784 reproductive-age women were included in the analysis. The global spatial autocorrelation (Global Moran's I) and the Getis-Ord statistics tool were used to detect the presence of clustering and the high/low hotspot areas of SBI respectively. Ordinary kriging was used to interpolate short birth intervals, and spatial scan statistics were employed to identify spatial clusters with high and low SBI. A multilevel multivariable model was used to identify predictors of a short birth interval. RESULTS: The prevalence of SBI was 62.89% (95%CI: 59.3, 69.7) in Ethiopia. High clustering of SBI was observed in all parts of Somali, in Afar (zones 1, 3, 4, &5), Oromia (Guje, Bale, & West Harerge), and northern Tigray. The most likely significant primary cluster was observed in the Somali region. Women who lived in the primary cluster were 24% more likely to have a short birth interval than those who lived outside the window. In the multilevel mixed-effect analysis age 25-34 [(AOR = 0.40, 95% CI: 0.35, 0.45)], 35-49 [(AOR = 0.44, 95% CI: 0.38, 0.51)], Muslim religion follower [(AOR = 3.5, 95% CI: 2.7, 4.69)], no formal education [(AOR = 0.5, 95% CI: 0.37, 0.70)], primary education[(AOR = 0.4, 95%CI: 0.28, 0.53)], and secondary education [(AOR = 0.3, 95% CI: 0.24, 0.48)], middle [(AOR: 1.3, 95% CI: 1.2, 1.52)], rich wealth status [(AOR: 1.4, 95% CI: 1.3, 1.68)], female sex children [(AOR: 1.2, 95% CI: 1.09, 1.42)], and two or fewer ideal number of children [(AOR = 0.2, 95% CI: 0.25, 0.32)] were found to be significant predictors of SBI. CONCLUSION: Overall, SBI was high and significantly clustered across the region of Ethiopia. Age, religion, education, wealth status, the sex of the indexed child, and the ideal number of children were found to be significantly associated with short birth intervals. Hence, the government should design a health promotion strategy and public health awareness in the identified hotspot areas of SBI and should scale up family planning and the wealth status of reproductive-age women.

A Case of Ischiopagus Dicephalus Conjoined Twins with Tetrabrachius Bipus from Dessie, Ethiopia.

The development of conjoined twins always catches the eyes of researchers and clinicians. Beyond the rareness of the cases, how they develop is a debatable issue. This report presented a case of ischiopagus conjoined twins who had two heads (dicephalus), four upper extremities (tetrabrachius), and were joined below the chest with two lower extremities (bipus). The twin's mother was referred from a primary hospital to Dessie Comprehensive Specialized Hospital for proper management of twin pregnancy, where a cesarean section was performed. The mother and her husband have no family history of birth defects or exposure to known teratogens. On imaging, the twins had separate hearts, lungs, and kidneys but a single liver, spleen, stomach, and intestine. They also shared genitourinary structures: a single penis with sub-coronal hypospadias and one imperforate anus. In addition, their placenta was single with one umbilical vein and two umbilical arteries. The conjoined twins had multiple accompanying cardiovascular anomalies but no external craniofacial, extremity, or brain anomalies. They passed away after 36 hours of follow-up in the neonatal intensive care unit at Dessie Comprehensive Specialized Hospital.

Determinants of wasting among children aged 6-59 months in North-East Ethiopia: a community-based case-control study.

OBJECTIVE: Childhood acute malnutrition, in the form of wasting defined by Weight-for-Height Z-Scores, is a major public health concern. It is one of the main reasons for the death of children in developing countries like Ethiopia. Accordingly, this study aimed to assess determinants of wasting among children aged 6-59 months in Meket district, North Wollo zone, North-East Ethiopia. SETTING: The study was conducted among communities in Meket district, North Wollo zone, North-East Ethiopia. PARTICIPANTS: A total of 327 (109 cases and 218 controls) children aged 6-59 months participated in the study. Children from 6 months to 59 months of age who match the definition of case/wasted/ and control/not wasted were eligible for the study. However, children who had physical deformities which make anthropometric measurements inconvenient were excluded from the study. PRIMARY AND SECONDARY OUTCOME MEASURES: The main outcome measure was wasting. RESULT: The mean ages of the cases and controls were 21.77±11.41 months and 20.13±11.39 months, respectively. Factors that were significantly associated with wasting were: maternal decision making on the use of household money (adjusted odd ratio (AOR)=3.04, 95% CI 1.08 to 7.83), complementary feeding started in a month (AOR=3.02, 95% CI 1.097 to 6.97), food diversity score (AOR=2.64, 95% CI 1.64 to 5.23), frequency of complementary feeding (AOR=6.68, 95% CI 3.6 to 11.25) and history of acute respiratory infections (ARIs) 2 weeks preceding the survey (AOR=3.21, 95% CI 1.07 to 7.86). CONCLUSION: Our result implies that the right time to introduce complementary foods, the frequency of feeding and also the amount of food consumed were some of the crucial factors that needed to be changed in child nutrition to reduce wasting. Furthermore, within the framework of our study, the empowerment of women in the decision-making process and the prevention of ARI should be seen as a necessary benchmark for acute malnutrition.

Spatial Variations and Determinants of Acute Malnutrition Among Under-Five Children in Ethiopia: Evidence from 2019 Ethiopian Demographic Health Survey.

Background and aims: Childhood acute malnutrition, in the form of wasting defined by a severe weight loss as a result of acute food shortage and/or illness. It is a critical public health problem that needs urgent attention in developing countries, like Ethiopia. Despite its variation between localities, the risk factors and its geospatial variation were not addressed enough across the various corner of the country. Therefore, the current study was undertaken to assess spatial variation and factors associated with acute malnutrition among under-five children in Ethiopia. Methods: A total weighted sample of 4 955 under-five children were included from the 2019 Demographic and Health Survey. Getis-Ord spatial statistical tool used to identify the hot and cold spot areas of severe and acute malnutrition. A multilevel multivariable logistic regression model using was used to examine predictors of acute malnutrition. In the multivariable multilevel analysis, Adjusted Odds Ratio with 95% CI was used to declare significant determinants of acute malnutrition among children. Result: Among 4 955 under-five children, 7% of them were wasted and 1% of them were severely wasted in Ethiopia during the 2019 national demographic survey. The distribution was followed some spatial geo-locations where most parts of Somali were severely affected (RR = 1.46, P37 value <0.001), and the distribution affected few areas of Afar, Gambella, and Benishangul Gumz regions. Factors that significantly associated with childhood wasting were: gender(male)1.9 (1.3-2.7), age (above 36 months) 0.5 (0.2-0.9), wealth index(richest) 0.5 (0.2-0.8), and water source (unimproved source) 1.5 (1.0-2.3). Conclusions: Our finding implies, the distribution of childhood wasting was not random. Regions like Afar, Somali, and pocket areas in Gambella and SNNP should be considered as priority areas nutritional interventions for reducing acute malnutrition. The established socio-demographic and economic characteristics can be also used to develop strategies.

Menstrual hygiene practice among female adolescents and its association with knowledge in Ethiopia: A systematic review and meta-analysis.

BACKGROUND: Previous studies on menstrual hygiene practice were largely inconsistent and single national evidence is required. Thus, this study aimed to assess the pooled prevalence of menstrual hygiene and its association with knowledge about menstrual hygiene among female adolescents in Ethiopia. METHODS: The study was designed based on the Preferred Reporting Items for Systematic Reviews and Meta-Analysis Protocols (PRISMA-2015 Guidelines). This systematic review included studies conducted on female adolescents in Ethiopia irrespective of their publication and study period until the end of July 1, 2020. The data extracted in the Microsoft Excel sheet format was exported into the STATA/SE14 version statistical software for further analysis. I2 test was used to test heterogeneity and publication bias was assessed by using Egger's weighted regression test. RESULTS: Thirteen full-text articles including 6907 participants were included in this systematic review and meta-analysis. Using the random effect model, the pooled prevalence of poor menstrual hygiene practice was 48.98% [95% CI: (36.42, 61.53)]. Those female adolescents who had poor knowledge were 2.6 times more likely to have poor menstrual hygiene practice as compared to counterparts [AOR = 2.61, 95% CI: (1.45, 4.72)]. CONCLUSIONS: The prevalence of poor menstrual hygiene practice was high and knowledge regarding menstrual hygiene was significantly associated with poor menstrual hygiene practice. Information education communication and behavioral change communication at all levels of education should be the primary focus area of the government.