scholarly journals Predictors of Neonatal mortality in Neonatal intensive care unit at referral Hospital in Southern Ethiopia: a retrospective cohort study

2019 ◽  
Vol 19 (1) ◽  
Author(s):  
Tujare Tunta Orsido ◽  
Netsanet Abera Asseffa ◽  
Tezera Moshago Berheto
Author(s):  
Alper Aykanat ◽  
Hasan Tolga Celik ◽  
Gulsen Hazirolan ◽  
Sule Yigit ◽  
Murat Yurdakok

OBJECTIVE: Despite improvements in neonatal care, neonatal bacterial meningitis is still an emerging problem worldwide with high rates of mortality. The present study evaluates data on suspected- and culture-proven neonatal bacterial meningitis in the light of a single tertiary reference center experience in Turkey in comparison with the globe. STUDY DESIGN: In this retrospective cohort study newborns admitted to Hacettepe University Ihsan Dogramaci Children’s Hospital Neonatal Intensive Care Unit during a 5-year-period between April 2014-May 2019 and who underwent atraumatic lumbar puncture were included. RESULTS: Two hundred sixty-four patients fulfilled the inclusion criteria. Most common symptoms in all patients raised suspicion in favor of NBM and resulted in lumbar puncture were fever (34.5%, n=91), respiratory distress (31.1%, n=82), lethargy (31.1%, n=82), and apnea (26.1%, n=69). The incidence of culture-proven NBM among suspected patients was 5.7% (n=15/264); while the incidence is 3.1 per 1000 (15/4574) at all Neonatal Intensive Care Unit admissions. Respiratory distress (60.0%, n=9/15) and apnea (40.0%, n=6/15) were the most common symptoms in patients with NBM; which may be due to the predominance of premature newborns in the NBM group. The most common microorganisms in CSF cultures were coagulase-negative Staphylococci with Methicillin-resistant Staphylococcus epidermidis being most common among all. CONCLUSIONS: The present study underlines high rates of culture-proven neonatal bacterial meningitis among suspected newborns despite improvements in modern health care, which raises attention to careful evaluation of these patients and early administration of properly-selected antibiotics. Our incidence rates are in keeping with studies from the developed world.


2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Atnafu Adem ◽  
Azmach Dache ◽  
Aregahegn Dona

Abstract Background Around two and half million neonatal mortality occurred in 2017, especially in developing countries. This study was conducted to determine the determinants of neonatal mortality among newborns admitted in the neonatal intensive care unit at Dilla University Referral Hospital in Gedeo Zone, Southern Ethiopia. Methods An unmatched case-control study was conducted from February, 24 to March 6, 2020 at Dilla University Referral Hospital in Gedeo Zone Southern Ethiopia. A total of 304 neonates (76 cases and 228 controls) were involved. Neonates registered as died were considered as cases and neonates registered as improved were considered as controls. Data were extracted by pretested checklists from medical records of neonates admitted during the last one year period. Data was entered into EpiData3.1, and analyzed by statistical package for social science software Version 22.Bivariate and multivariate logistic regressions were used to identify determinants associated with neonatal mortality. Finally, AORs at 95 % CI and P-values < 0.05 were used to declare statistical significance. Results In this study, a total of 304 cases were assessed with 100 % reviewed rate. It was found that referrals from other health facilities, [AORs = 2.43, 95 % CI (1.14, 5.22)], gestational age < 37 weeks,[AORs = 2.50, 95 % CI (1.12, 5.58)], the weight of newborn < 2500 g, [AORs = 2.44, 95 % CI (1.13, 5.28)], neonates positive for sepsis, [AORs = 2.45, 95 % CI (1.11, 5.41)]and neonates who not breastfed within first hour after delivery,[AORs = 5.24, 95 % CI (2.42, 11.37)] were statistically significant determinants to neonatal mortality. Conclusions This study suggests that referral, gestational age, weight of newborn, sepsis and breastfeeding were significant determinants to neonatal mortality. This study shows that neonatal intensive care unit service should be strengthened in Dilla University Referral Hospital; targeting neonate aged below 28 days. Most of these determinants may be prevented and minimized by strengthening referral linkage, improving intrapartum and postpartum care.


2020 ◽  
Author(s):  
semagn Mekonnen Abate ◽  
Sofia Assen ◽  
Mengistu Yinges ◽  
Bivash Basu

Abstract Background: The burden of life-threatening conditions requiring intensive care unit has grown substantially in low-income countries related to an emerging pandemic, urbanization, and hospital expansion. The rate of ICU mortality is varied from region to region in Ethiopia. However, body of evidence on ICU mortality and its predictors is uncertain. This study was designed to investigate the pattern of disease and predictors of mortality in Southern Ethiopia.Methods: After obtaining Ethical clearance from institutional Review Board (IRB), a multi-center retrospective Cohort study was conducted among three teaching referral hospital ICUs of southern Ethiopia from June, 2018 to May, 2020. Five hundred and seventeen Adult ICU patients were selected. Data were entered in Statistical Package for Social Sciences version 22 and STATA version 16 for analysis. Descriptive statistics were run to see the overall distribution of the variables. Chi square test and odds ratio were determine to identify the association between independent and dependent variables. Multivariate analysis was conducted to control possible confounders and identify independent predictors of ICU mortality.Results: The mean (± SD) of the patients admitted in ICU was 34.25(±5.25). The overall ICU mortality rate was 46.8%. The study identified different independent predictors of mortality. Patients with cardiac arrest were approximately 12 times more likely to die as compared to who didn’t, AOR=11.9 (95% CI:6.1 to 23.2).Conclusion: The overall mortality rate in ICU was very high as compared to other studies in Ethiopia as well as globally which entails a rigorous activity from different stakeholders.


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