Dataset Information

Incidence and predictors of mortality among neonates with respiratory distress syndrome admitted at West Oromia Referral Hospitals, Ethiopia, 2022. Multi-centred institution based retrospective follow-up study.

ABSTRACT:

Introduction

Respiratory distress syndrome is the major cause of neonatal death. However, data on the mortality and predictors related to respiratory distress syndrome were scarce. Hence, this study aimed to assess the incidence and predictors of death among neonates admitted with respiratory distress syndrome in West Oromia Referral Hospitals, Ethiopia, 2022.

Methods

A retrospective follow-up study was conducted among 406 neonates admitted with respiratory distress syndrome at five referral hospitals from, 1 January 2019 to, 31 December 2021 in West Oromia, Ethiopia. The data were collected using a structured checklist and participants were selected using simple random sampling technique. The data were entered into Epi data version 4.6.0.2 and exported to STATA version 14 for cleaning, coding and analysis. The Kaplan-Meier curve was used to estimate survival time. The Weibull regression model was fitted to identify the predictors of mortality and variables with a P-value < 0.05 was taken as significant predictors of mortality.

Result

Four hundred six neonates with respiratory distress syndrome were included in the analysis. The overall incidence of neonatal mortality was 59.87/1000 neonates-days observations (95%CI: 51.1-70.2) with a proportion of 152 (37.44%) (95% CI: 32.7-42.2). The median time of follow-up was 11 days (95% CI: 10-23). Very low birthweight (AHR = 4.5, 95%CI: 2.0-10.9) and low birth weight (AHR = 3.1, 95%CI: 1.4-6.6), perinatal asphyxia (AHR = 2.7, 95%CI: 1.8-4), Chorioamnionitis (AHR = 2.2, 95%CI: 1.4-3.5) and multiple pregnancies (AHR = 2.2, 95%CI: 1.4-3.4) increased the hazard of death, whereas, antenatal corticosteroid administration (AHR = 0.33, 95%CI: 0.2-0.7) was negatively associated with neonatal mortality.

Conclusion and recommendation

High mortality rate of neonates with respiratory distress syndrome was observed. Chorioamnionitis, perinatal asphyxia, low birth weight and multiple pregnancies increase the, mortality hazard while administering antenatal corticosteroids decreases it. Thus, administering corticosteroids- before giving birth and special emphasis on children with Chorioaminoitis, asphyxia, low birth weight and multiple pregnancies is important for reducing neonatal mortality.

SUBMITTER: Legesse BT

PROVIDER: S-EPMC10393157 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature

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Publications

Incidence and predictors of mortality among neonates with respiratory distress syndrome admitted at West Oromia Referral Hospitals, Ethiopia, 2022. Multi-centred institution based retrospective follow-up study.

Legesse Bruck Tesfaye BT Abera Netsanet Melkamu NM Alemu Tewodros Getaneh TG Atalell Kendalem Asmare KA

PloS one 20230801 8

<h4>Introduction</h4>Respiratory distress syndrome is the major cause of neonatal death. However, data on the mortality and predictors related to respiratory distress syndrome were scarce. Hence, this study aimed to assess the incidence and predictors of death among neonates admitted with respiratory distress syndrome in West Oromia Referral Hospitals, Ethiopia, 2022.<h4>Methods</h4>A retrospective follow-up study was conducted among 406 neonates admitted with respiratory distress syndrome at fi ...[more]

PMID: 37527266

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Project description:ObjectiveThis study aimed to assess the morbidity and mortality patterns of preterm neonates with low birth weight admitted in the Amhara region referral hospitals in Ethiopia.DesignHospital-based retrospective follow-up study.SettingAmhara region referral hospitals, Ethiopia.ParticipantsA total of 291 preterm neonates low birth weight that were admitted to referral hospitals in the Amhara region between 1 January 2017 and 30 December 2018 were reviewed. Data were entered into Epi-data V.4.4.2.1 and exported to STATA V.14 for analysis, and variables with a p value of <0.05 at 95% confidence level in multivariable logistic regression model analysis were declared as statistically significant associated factors of mortality.Primary outcomeMorbidity and mortality patterns in preterm low birthweight neonates.ResultsThis study revealed that 37.8% (95% CI 32.4% to 43.5%) of preterm low birthweight neonates died. The most common morbidities found were 219 (75.26%) hypothermia, followed by 201 (69.07%), 145 (49.83%), 39 (13.4%) and 24 (8.25%) with sepsis, respiratory distress, jaundice and congenital anomalies, respectively. Sepsis (AOR: 2.0; 95% CI 1.03 to 3.89), respiratory distress (AOR: 4.6; 95% CI 2.51 to 8.40), hypoglycaemia (AOR 3.91; 95% CI 1.09 to 10.52), APGAR score at fifth minute <7 (AOR 0.39; 95% CI (0.18 to 0.82) and duration of hospital stay below mean (<9.82 days) (AOR 0.17; 95% CI 0.09 to 0.33) were associated with mortality.ConclusionThe mortality rate of preterm low birthweight neonates was high, indicating that this is a public health issue. Hypothermia, sepsis, respiratory distress, jaundice and congenital anomalies were the common morbidities. Sepsis, respiratory distress, hypoglycaemia, Apgar score at fifth minute <7 and duration of hospital stay below the mean were independent factors of mortality. However, these need to be further investigated in future research and appropriately addressed using prospective follow-up.

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Project description:To evaluate the prevalence, type and severity of prescribing errors observed between grades of prescriber, ward area, admission or discharge and type of medication prescribed.Ward-based clinical pharmacists prospectively documented prescribing errors at the point of clinically checking admission or discharge prescriptions. Error categories and severities were assigned at the point of data collection, and verified independently by the study team.Prospective study of nine diverse National Health Service hospitals in North West England, including teaching hospitals, district hospitals and specialist services for paediatrics, women and mental health.Of 4238 prescriptions evaluated, one or more error was observed in 1857 (43.8%) prescriptions, with a total of 3011 errors observed. Of these, 1264 (41.9%) were minor, 1629 (54.1%) were significant, 109 (3.6%) were serious and 9 (0.30%) were potentially life threatening. The majority of errors considered to be potentially lethal (n=9) were dosing errors (n=8), mostly relating to overdose (n=7). The rate of error was not significantly different between newly qualified doctors compared with junior, middle grade or senior doctors. Multivariable analyses revealed the strongest predictor of error was the number of items on a prescription (risk of error increased 14% for each additional item). We observed a high rate of error from medication omission, particularly among patients admitted acutely into hospital. Electronic prescribing systems could potentially have prevented up to a quarter of (but not all) errors.In contrast to other studies, prescriber experience did not impact on overall error rate (although there were qualitative differences in error category). Given that multiple drug therapies are now the norm for many medical conditions, health systems should introduce and retain safeguards which detect and prevent error, in addition to continuing training and education, and migration to electronic prescribing systems.

Dataset Information

Incidence and predictors of mortality among neonates with respiratory distress syndrome admitted at West Oromia Referral Hospitals, Ethiopia, 2022. Multi-centred institution based retrospective follow-up study.

Introduction

Methods

Result

Conclusion and recommendation

Publications

Incidence and predictors of mortality among neonates with respiratory distress syndrome admitted at West Oromia Referral Hospitals, Ethiopia, 2022. Multi-centred institution based retrospective follow-up study.

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