Time to death and its predictors among neonates admitted with sepsis in neonatal intensive care unit at comprehensive specialized hospitals in Northeast Ethiopia

BackgroundIn impoverished nations like Ethiopia, neonatal sepsis contributes significantly to neonatal mortality. Despite variations in the specific timing of death and predictors of neonatal mortality associated with sepsis across different settings, there's limited documented information in the Neonatal Intensive Care Units of northeastern Ethiopia. Consequently, the aim of this study was to determine time to death and its predictors among neonates with sepsis admitted to Neonatal Intensive Care Units in comprehensive specialized hospitals in northeastern EthiopiaMethodsA prospective cohort study conducted at the institution level involved 306 neonates diagnosed with sepsis. Data collection utilized face-to-face interviews and chart reviews. Subsequently, the data were inputted into Epi-data version 4.6 and later analyzed using STATA version 17. The median time to death was determined, and both the Kaplan-Meier curve and log-rank test were applied. Furthermore, a Cox proportional hazard regression model was utilized to identify predictors of neonatal mortality associated with sepsis.ResultThe cumulative incidence of mortality among neonates admitted with sepsis was 34% (95% CI: 28.9%–39.5%). The neonatal mortality rate stood at 51 (95% CI: 42.1, 62) per 1,000 neonates admitted to the intensive care units with sepsis over a total of 1,854 person-days of observation. Additionally, the median time to death was 13 days (IQR = 5–23 days). Tachypnea [AHR 6.2 (95% CI: 1.5–9.7)], respiratory distress syndrome [AHR 2.1 (95% CI: 1.3–3.5)], lethargy [AHR 1.8 (95% CI: 1.2–2.6)], preterm birth [AHR 1.8 (95% CI: 1.2–2.7)], continuous positive airway pressure use [AHR 2.1 (95% CI: 1.3–3.4)], home delivery [AHR 2.63 (95% CI: 1.1–6.4)], Subgalea hemorrhage [AHR 1.8 (95% CI: 1.1–3.9)], and low platelet count [AHR 5.9 (95% CI: 2.3–8.6)] were found to be predictors of time to death in neonates with sepsis.ConclusionThe study revealed an alarmingly high neonatal mortality rate among septic neonates, underscoring the urgency for intervention. Enhancing the quality of care in neonatal intensive care units, bolstering infection prevention during procedures such as continuous positive airway pressure, exercising caution with locally made accessories, and reinforcing a culture of institutional delivery are critical in curbing neonatal sepsis-related mortalities

Datasheet1_Time to death and its predictors among neonates admitted with sepsis in neonatal intensive care unit at comprehensive specialized hospitals in Northeast Ethiopia.pdf

BackgroundIn impoverished nations like Ethiopia, neonatal sepsis contributes significantly to neonatal mortality. Despite variations in the specific timing of death and predictors of neonatal mortality associated with sepsis across different settings, there's limited documented information in the Neonatal Intensive Care Units of northeastern Ethiopia. Consequently, the aim of this study was to determine time to death and its predictors among neonates with sepsis admitted to Neonatal Intensive Care Units in comprehensive specialized hospitals in northeastern EthiopiaMethodsA prospective cohort study conducted at the institution level involved 306 neonates diagnosed with sepsis. Data collection utilized face-to-face interviews and chart reviews. Subsequently, the data were inputted into Epi-data version 4.6 and later analyzed using STATA version 17. The median time to death was determined, and both the Kaplan-Meier curve and log-rank test were applied. Furthermore, a Cox proportional hazard regression model was utilized to identify predictors of neonatal mortality associated with sepsis.ResultThe cumulative incidence of mortality among neonates admitted with sepsis was 34% (95% CI: 28.9%–39.5%). The neonatal mortality rate stood at 51 (95% CI: 42.1, 62) per 1,000 neonates admitted to the intensive care units with sepsis over a total of 1,854 person-days of observation. Additionally, the median time to death was 13 days (IQR = 5–23 days). Tachypnea [AHR 6.2 (95% CI: 1.5–9.7)], respiratory distress syndrome [AHR 2.1 (95% CI: 1.3–3.5)], lethargy [AHR 1.8 (95% CI: 1.2–2.6)], preterm birth [AHR 1.8 (95% CI: 1.2–2.7)], continuous positive airway pressure use [AHR 2.1 (95% CI: 1.3–3.4)], home delivery [AHR 2.63 (95% CI: 1.1–6.4)], Subgalea hemorrhage [AHR 1.8 (95% CI: 1.1–3.9)], and low platelet count [AHR 5.9 (95% CI: 2.3–8.6)] were found to be predictors of time to death in neonates with sepsis.ConclusionThe study revealed an alarmingly high neonatal mortality rate among septic neonates, underscoring the urgency for intervention. Enhancing the quality of care in neonatal intensive care units, bolstering infection prevention during procedures such as continuous positive airway pressure, exercising caution with locally made accessories, and reinforcing a culture of institutional delivery are critical in curbing neonatal sepsis-related mortalities.</p

Datasheet2_Time to death and its predictors among neonates admitted with sepsis in neonatal intensive care unit at comprehensive specialized hospitals in Northeast Ethiopia.pdf

BackgroundIn impoverished nations like Ethiopia, neonatal sepsis contributes significantly to neonatal mortality. Despite variations in the specific timing of death and predictors of neonatal mortality associated with sepsis across different settings, there's limited documented information in the Neonatal Intensive Care Units of northeastern Ethiopia. Consequently, the aim of this study was to determine time to death and its predictors among neonates with sepsis admitted to Neonatal Intensive Care Units in comprehensive specialized hospitals in northeastern EthiopiaMethodsA prospective cohort study conducted at the institution level involved 306 neonates diagnosed with sepsis. Data collection utilized face-to-face interviews and chart reviews. Subsequently, the data were inputted into Epi-data version 4.6 and later analyzed using STATA version 17. The median time to death was determined, and both the Kaplan-Meier curve and log-rank test were applied. Furthermore, a Cox proportional hazard regression model was utilized to identify predictors of neonatal mortality associated with sepsis.ResultThe cumulative incidence of mortality among neonates admitted with sepsis was 34% (95% CI: 28.9%–39.5%). The neonatal mortality rate stood at 51 (95% CI: 42.1, 62) per 1,000 neonates admitted to the intensive care units with sepsis over a total of 1,854 person-days of observation. Additionally, the median time to death was 13 days (IQR = 5–23 days). Tachypnea [AHR 6.2 (95% CI: 1.5–9.7)], respiratory distress syndrome [AHR 2.1 (95% CI: 1.3–3.5)], lethargy [AHR 1.8 (95% CI: 1.2–2.6)], preterm birth [AHR 1.8 (95% CI: 1.2–2.7)], continuous positive airway pressure use [AHR 2.1 (95% CI: 1.3–3.4)], home delivery [AHR 2.63 (95% CI: 1.1–6.4)], Subgalea hemorrhage [AHR 1.8 (95% CI: 1.1–3.9)], and low platelet count [AHR 5.9 (95% CI: 2.3–8.6)] were found to be predictors of time to death in neonates with sepsis.ConclusionThe study revealed an alarmingly high neonatal mortality rate among septic neonates, underscoring the urgency for intervention. Enhancing the quality of care in neonatal intensive care units, bolstering infection prevention during procedures such as continuous positive airway pressure, exercising caution with locally made accessories, and reinforcing a culture of institutional delivery are critical in curbing neonatal sepsis-related mortalities.</p

Incidence and predictors of acute kidney injury among asphyxiated neonates in comprehensive specialized hospitals, northwest Ethiopia, 2023

Abstract Acute kidney injury (AKI) is characterized by a sudden decline in the kidneys' abilities to remove waste products and maintain water and electrolyte homeostasis. This study aims to determine the incidence and predictors of acute kidney injury among neonates with perinatal asphyxia admitted at the neonatal intensive care unit of West Amhara Comprehensive Specialized Hospital, Northwest Ethiopia, 2023. Multicentred institution-based retrospective follow-up study was conducted from October 1, 2021, to September 30, 2023, among 421 perinatal asphyxia neonates. A simple random sampling technique was used. The data were collected using a data extraction checklist from the medical registry of neonates. The collected data were entered into EPI-DATA V.4.6.0.0. and analyzed using STATA V.14. The Kaplan–Meier failure curve and log-rank test were employed. Bivariable and multivariable Cox regression was carried out to identify predictors of Acute kidney injury. Statistical significance was declared at a p ≤ 0.05. The overall incidence of AKI was 54 (95% CI 47.07–62.51) per 100 neonate days. C/S delivery (AHR = 0.64; (95% CI 0.43–0.94), prolonged labor (AHR = 1.43; 95% CI 1.03–1.99) low-birth weight times (AHR = 1.49; (95% CI 1.01–2.20), stage three HIE(AHR: 1.68; (95% CI (1.02–2.77), No ANC follow up (AHR = 1.43; 95% CI 1.9 (1.07–3.43) and Hyperkalemia (AHR = 1.56; 95% CI 1.56 (1.05–2.29); 95% CI) were significant predictors. The incidence rate of acute kidney injury was higher than in other studies conducted on other groups of neonates. Cesarean section delivery, prolonged low birthweight, no Anc follow-up, stage 3 HIE, and neonatal hyperkalemia were predictors of acute kidney injury. However, it needs further prospective study. Therefore, the concerned stakeholders should give due attention and appropriate intervention to these predictors