Predictors of neonatal mortality among neonates admitted to the neonatal intensive care unit at Hawassa University Comprehensive Specialized Hospital, Sidama regional state, Ethiopia.

Despite promising efforts, substantial deaths occurred during the neonatal period. According to estimates from the World Health Organization (WHO), Ethiopia is among the top 10 nations with the highest number of neonatal deaths in 2020 alone. This staggering amount makes it difficult to achieve the SDG (Sustainable Development Goals) target that calls for all nations to work hard to meet a neonatal mortality rate target of ≤ 12 deaths per 1,000 live births by 2030. We evaluated neonatal mortality and it's contributing factors among newborns admitted to the Neonatal Intensive Care Unit (NICU) at Hawassa University Comprehensive Specialized Hospital (HUCSH). A hospital-based retrospective cross-sectional study on neonates admitted to the NICU from May 2021 to April 2022 was carried out at Hawassa University Comprehensive Specialized Hospital. From the admitted 1044 cases over the study period, 225 babies were sampled using a systematic random sampling procedure. The relationship between variables was determined using bivariate and multivariable analyses, and statistically significant relations were indicated at p-values less than 0.05. The magnitude of neonatal death was 14.2% (95% CI: 0.099-0.195). The most common causes of neonatal death were prematurity 14 (43.8%), sepsis 9 (28.1%), Perinatal asphyxia 6 (18.8%), and congenital malformations 3 (9.4%). The overall neonatal mortality rate was 28 per 1000 neonate days. Neonates who had birth asphyxia were 7.28 times more probable (AOR = 7.28; 95% CI: 2.367, 9.02) to die. Newborns who encountered infection within the NICU were 8.17 times more likely (AOR = 8.17; 95% CI: 1.84, 36.23) to die. The prevalence of newborn death is excessively high. The most common causes of mortality identified were prematurity, sepsis, perinatal asphyxia and congenital anomalies. To avert these causes, we demand that antenatal care services be implemented appropriately, delivery care quality be improved, and appropriate neonatal care and treatment be made available.

Taye K ，Kebede Y ，Tsegaw D ，Ketema W ... -  《BMC Pediatrics》

Neonatal mortality and associated factors among neonates admitted to neonatal intensive care unit at public hospitals of Somali Regional State, Eastern Ethiopia: A multicenter retrospective analysis.

Mohamed HA ，Shiferaw Z ，Roble AK ，Kure MA ... -  《PLoS One》

Magnitude of neonatal sepsis and its associated factors among neonates admitted to the neonatal intensive care unit in Hawassa Comprehensive Specialized Hospital, Sidama Regional State, Ethiopia, 2020.

Neonatal sepsis is one of the most common causes of disease and death among neonates globally. And it made a great contribution to neonatal admission to intensive care units. To mitigate the ongoing neonatal crisis and accomplish the goal of sustainable development through a decrease in neonatal mortality, information from various regions is needed. Despite the considerable burden of neonatal sepsis in our setting, no prior studies were conducted in the study area. So, this study aimed to assess the magnitude and associated factors of neonatal sepsis among neonates admitted to the neonatal intensive care unit at Hawassa University Comprehensive Specialized Hospital, Sidama Regional State, Ethiopia. A hospital-based cross-sectional study was carried out among 287 neonates from March 1, 2020, to April 25, 2020. An interviewer-administered structured questionnaire was used to collect the data. The data were cleaned, coded, and entered into Epi Data 3.1 software and exported to Statistical Package for Social Science (SPSS) software version 23.0 for analysis. Binary logistic regression analyses were performed to identify variables having a significant association with neonatal sepsis. A p-value of ≤ 0.05 was considered statistically significant during multivariable logistic regression. The study found that the magnitude of neonatal sepsis was 56%. The mean age of neonates was 3.2(SD±2.2) days. Around two-fifths (39%) of neonates were in the gestational age of <37 completed weeks. A quarter of mothers(25.8%) were delivered through cesarean section. During labor, 251 (87.5%) mothers had ≤4 digital vaginal examinations. Moreover, the finding revealed that mothers who delivered by cesarean section [AOR = 2.13, 95% CI (1.090-4.163)]. neonates who had been resuscitated at birth [AOR = 4.5, 95% CI (2.083-9.707)], and neonates who had NG tube inserted [AOR = 4.29, 95% CI (2.302-8.004)] were found to be significantly associated with neonatal sepsis. The current study shows that neonatal sepsis was prevalent among more than half of the neonates admitted to the NICU. Therefore, designing strategies to enhance the aseptic techniques of professionals in the provision of care and actively and collaboratively working with cluster health facilities is highly recommended.

Baheru FS ，Shiferaw BZ ，Toru T ，GebreEyesus FA ... -  《BMC Pregnancy and Childbirth》

Incidence and development of validated mortality prediction model among asphyxiated neonates admitted to neonatal intensive care unit at Felege Hiwot Comprehensive Specialized Hospital, Bahir Dar, Northwest Ethiopia, 2021: retrospective follow-up study.

Perinatal asphyxia is failure to maintain normal breathing at birth. World Health Organization indicates that perinatal asphyxia is the third major cause of neonatal mortality in developing countries accounting for 23% of neonatal deaths every year. At global and national level efforts have done to reduce neonatal mortality, however fatalities from asphyxia remains high in Ethiopia (24%). And there are no sufficient studies to show incidence and prediction of mortality among asphyxiated neonates. Developing validated risk prediction model is one of the crucial strategies to improve neonatal outcomes with asphyxia. Therefore, this study will help to screen asphyxiated neonate at high-risk for mortality during admission by easily accessible predictors. This study aimed to determine the incidence and develop validated Mortality Prediction model among asphyxiated neonates admitted to the Neonatal Intensive Care Unit at Felege-Hiwot Comprehensive Specialized Hospital, Bahir Dar, Ethiopia. Retrospective follow-up study was conducted at Felege-Hiwot Comprehensive Specialized Hospital from September 1, 2017, to March 31, 2021. Simple random sampling was used to select 774 neonates, and 738 were reviewed. Since was data Secondary, it was collected by checklist. After the description of the data by table and graph, Univariable with p-value < 0.25, and stepwise multivariable analysis with p-value < 0.05 were done to develop final reduced prediction model by likelihood ratio test. To improve clinical utility, we developed a simplified risk score to classify asphyxiated neonates at high or low-risk of mortality. The accuracy of the model was evaluated using area under curve, and calibration plot. To measures all accuracy internal validation using bootstrapping technique were assessed. We evaluated the clinical impact of the model using a decision curve analysis across various threshold probabilities. Incidence of neonatal mortality with asphyxia was 27.2% (95% CI: 24.1, 30.6). Rural residence, bad obstetric history, amniotic fluid status, multiple pregnancy, birth weight (< 2500 g), hypoxic-ischemic encephalopathy (stage II and III), and failure to suck were identified in the final risk prediction score. The area under the curve for mortality using 7 predictors was 0.78 (95% CI 0.74 to 0.82). With ≥ 7 cutoffs the sensitivity and specificity of risk prediction score were 0.64 and 0.82 respectively. Incidence of neonatal mortality with asphyxia was high. The risk prediction score had good discrimination power built by rural residence, bad obstetric history, stained amniotic fluid, multiple pregnancy, birth weight (< 2500 g), hypoxic-ischemic encephalopathy (stage II and III), and failure to suck. Thus, using this score chart and improve neonatal and maternal service reduce mortality among asphyxiated neonates.

Tegegne YS ，Birhan TY ，Takele H ，Mekonnen FA ... -  《BMC Pediatrics》

Incidence and predictors of mortality among low birth weight neonates in the first week of life admitted to the neonatal intensive care unit in Northwestern Ethiopia comprehensive specialized hospitals, 2022. Multi-center institution-based retrospective f

Globally, a high number of neonatal mortalities occurs in the first week of life, particularly among low birth weight neonates in low-income countries, including Ethiopia. However, there is limited evidence on the early neonatal mortality of low-birth-weight neonates in Ethiopia. Therefore, this study aimed to assess incidence and predictors of mortality among low-birth-weight neonates in their first week of life admitted to the neonatal intensive care unit in Northwestern Ethiopia Comprehensive Specialized Hospitals, 2022. A multi-center retrospective follow-up study was conducted from March 21, 2020 to March 1, 2022, among 761 early neonates with low birth weight admitted in Northwestern Ethiopia Comprehensive Specialized Hospitals. The study participants were selected using simple random sampling technique. Data were collected using a data abstraction checklist ,and checked for completeness and entered into EPI data version 4.6, then exported to STATA 14 for analysis. Kaplan Meier failure curve and log-rank test were used to estimate and compare the probability of death. Both bivariable and multivariable Weibull regression models were fitted to identify predictors of mortality. Finally, a hazard ratio with 95% CI was computed, and variables having a p-value < 0.05 were considered as a significant predictor of mortality. The incidence of mortality among low birth weight neonates in their first week of life was 75.63 per 1000 neonate day observation (95% CI: 66.76-85.67), preeclampsia (AHR = 1.77;95% CI:1.32-2.36s), perinatal asphyxia (AHR = 1.64; 95% CI:1.14-2.36), respiratory distress syndrome (AHR = 1.76 95% CI;1.31-2.34), necrotizing enterocolitis (AHR = 2.78 95% CI;1.79-4.32), prematurity (AHR = 1.86; 95% CI:1.30-2.67), and birth weight < 1000gram (AHR = 3.13;95% CI: 1.91-5.12) and 1000-1499 gram (AHR = 1.99; 95% CI:1.47-2.68) were predictors. The incidence of early neonatal mortality in low birth weight neonates was incredibly higher than the overall early neonatal mortality in Northwest Ethiopia (Amhara region). Preeclampsia, perinatal asphyxia, respiratory distress syndrome, necrotizing enterocolitis, prematurity, and birth weight were predictors of mortality. Therefore, stakeholders shall give early identification and emphasis on preventable and treatable predictors. Furthermore, the health care provider shall give education about the importance of breastfeeding, and Antenatal and postnatal care.

Wondie WT ，Zeleke KA ，Wubneh CA 《BMC Pediatrics》