[Intrapartum asphyxia: Risk factors and short-term consequences]

Incidence and predictors of mortality among neonates admitted with birth asphyxia to neonatal intensive care unit of West Shewa Zone Public Hospitals, Central Ethiopia

BACKGROUND

Birth asphyxia is still one of the primary causes of newborn mortality worldwide. Similarly, the risk of newborn asphyxia in Ethiopia remains unacceptably high. Thus, studies on the incidence and predictors of mortality among newborns admitted with birth asphyxia are crucial to addressing this problem. As a result, the purpose of this study was to assess the incidence and predictors of mortality among neonates admitted with birth asphyxia to the neonatal intensive care units (NICUs) of West Shewa Zone Public Hospitals in Central Ethiopia.

METHODS

An institution-based retrospective cohort study was conducted among 760 asphyxiated neonates admitted to the NICUs of West Shewa Zone Public Hospitals between 30 March 2021 and 30 April 2023. The data were collected using CSEntry and analysed bu using Stata V.17. Bivariate and multivariate Cox proportional hazard regression analyses were carried out, and significant predictors were found using a 95% CI and a p<0.05.

RESULTS

A total of 760 asphyxiated neonates were followed for a total of 6880 neonatal days. At the end of follow-up, 263 (34.6%) of the neonates died (95% CI 31.3% to 38.1%), which resulted in a mortality incidence of 10.6/100 person-days of observation. Chewing khat (adjusted HR, AHR 2.21; 95% CI 1.13 to 4.31), home delivery (AHR 1.45, 95% CI 1.1 to 1.9), lack of antenatal care follow-up (AHR 1.44, 95% CI 1.08 to 1.89), hypothermia (AHR 1.56, 95% CI 1.12 to 2.17), hypoglycaemia (AHR 2.23, 95% CI 1.91 to 2.25) and obstructed labour (AHR 1.4, 95% CI 1.02 to 1.91) were found to be the significant predictors of neonatal mortality among asphyxiated neonates at a p≤0.05.

CONCLUSION AND RECOMMENDATION

The magnitude of neonatal mortality among asphyxiated neonates in the study area was high. Therefore, in order to significantly reduce the risks of birth asphyxia and subsequent newborn death, all interested stakeholders should take these predictors into consideration.

Impact of an e-learning training for interpreting intrapartum fetal heart rate monitoring to avoid perinatal asphyxia: A before-after multicenter observational study

INTRODUCTION

Perinatal asphyxia, a condition that results from compromised placental or pulmonary gas exchange during the birth process, is rare but can lead to serious neonatal and long-term consequences. The visual analysis of cardiotocography (CTG) is designed to avoid perinatal asphyxia, but its interpretation can be difficult. Our aim was to test the impact of an e-learning training program for interpreting CTG on the rate of avoidable perinatal asphyxia at term.

METHOD

We conducted a retrospective multicenter before-after study comparing two periods, before and after the implementation of e-learning training program from July 1, 2016 to December 31, 2016, in CTG interpretation for midwives and obstetricians in five maternity hospitals in the Paris area, France. The training involved theoretical aspects such as fetal physiology and heart rhythm abnormalities, followed by practical exercises using real case studies to enhance skills in interpreting CTG. We included all term births that occurred between the "before" period (July 1 to December 31, 2014) and the "after period (January 1 to June 30, 2017). We excluded multiple pregnancies, antenatal detection of congenital abnormalities, breech births and all scheduled caesarean sections. Perinatal asphyxia cases were analyzed by a pair of experts consisting of midwives and obstetricians, and avoidability of perinatal asphyxia was estimated. The main criterion was the prevalence of avoidable perinatal asphyxia.

RESULTS

The e-learning program was performed by 83 % of the obstetrician-gynecologists and 65 % of the midwives working in the delivery rooms of the five centers. The prevalence of perinatal asphyxia was 0.45 % (29/7902 births) before the training and 0.54 % (35/7722) after. The rate of perinatal asphyxia rated as avoidable was 0.30 % of live births before the training and 0.28 % after (p = 0.870). The main causes of perinatal asphyxia deemed avoidable were delay in reactions to severe CTG anomalies and errors in the analysis and interpretation of the CTG. These causes did not differ between the two periods.

CONCLUSION

One session of e-learning training to analyze CTG was not associated with a reduction in avoidable perinatal asphyxia. Other types of e-learning, repeated and implemented over a longer period should be evaluated.

Comparative study of neonatal brain injury fetuses using machine learning methods for perinatal data

OBJECTIVE

CTG is used to record the fetus's fetal heart rate and uterine contraction signal during pregnancy. The prenatal fetal intrauterine monitoring level can be used to evaluate the fetal intrauterine safety status and reduce the morbidity and mortality of the perinatal fetus. Perinatal asphyxia is the leading cause of neonatal hypoxic-ischemic encephalopathy and one of the leading causes of neonatal death and disability. Severe asphyxia can cause brain and permanent nervous system damage and leave different degrees of nervous system sequelae.

METHODS

This paper evaluates the classification performance of several machine learning methods on CTG and provides the auxiliary ability of clinical judgment of doctors. This paper uses the data set on the public database UCI, with 2126 samples.

RESULTS

The accuracy of each model exceeds 80%, of which XGBoost has the highest accuracy of 91%. Other models are Random tree (90%), light (90%), Decision tree (83%), and KNN (81%). The performance of the model in other indicators is XGBoost (precision: 90%, recall: 93%, F1 score: 90%), Random tree (precision: 88%, recall: 91%, F1 score: 89%), lightGBM (precision: 87%, recall: 93%, F1 score: 90%), Decision tree (precision: 83%, recall: 86%, F1 score: 84%), KNN (precision: 77%, recall: 85%, F1 score: 81%).

CONCLUSION

The performance of XGBoost is the best of all models. This result also shows that using the machine learning method to evaluate the fetus's health status in CTG data is feasible. This will also provide and assist doctors with an objective assessment to assist in clinical diagnosis.

Risk factors for hypoxic-ischemic encephalopathy in cases of severe acidosis: A case-control study

INTRODUCTION

The aim of the study was to identify the obstetric risk factors for hypoxic-ischemic encephalopathy (HIE) in infants with asphyxia at birth.

MATERIAL AND METHODS

This multicenter case-control study covered the 5-year period from 2014 through 2018 and included newborns ≥36 weeks of gestation with an umbilical pH at birth ≤7.0. Cases were newborns who developed moderate or severe HIE; they were matched with controls with pH ≤7.0 at birth over the same period without moderate or severe HIE. The factors studied were maternal, gestational, intrapartum, delivery-related, and neonatal characteristics. A multivariable analysis was performed to study the maternal, obstetric, and neonatal factors independently associated with moderate or severe HIE.

RESULTS

Our review of the records identified 41 cases and 98 controls. Compared with controls, children with moderate or severe HIE had a lower 5-min Apgar score, lower umbilical artery pH, and higher cord lactate levels at birth and at 1 h of life. Obstetric factors associated with moderate or severe HIE were the occurrence of an acute event (adjusted odds ratio [aOR] 6.4; 95% confidence interval [CI] 1.8-22.5), maternal fever (aOR 3.5; 95% CI 1.0-11.9), and thick meconium during labor (aOR 2.9; 95% CI 1.0-8.6).

CONCLUSIONS

HIE is associated with a lower 5-min Apgar score and with the severity of acidosis at birth and at 1 h of life. In newborns with a pH <7.0 at birth, the occurrence of an acute obstetric event, maternal fever, and thick meconium are independent factors associated with moderate or severe HIE.

Relationship of serum procalcitonin levels and c-reactive protein levels in newborns with sepsis in different types of respiratory support in intensive care unit

Sepsis in newborns with RDSy and asphyxia is essential; it is a life-threatening condition and still represents an important cause of mortality and morbidity. The aim of this study was to evaluate the predictive values of procalcitonin (PCT) as an early diagnostic and prognostic biochemical marker for sepsis in newborns with RDS and asphyxia. Material and methods: The study was designed as prospective and we examined 110 newborns with proven sepsis admitted in the Intensive  Care Unit at the University Clinic of Pediatrics – Skopje in the period between December 2018 and Јanuary 2021. Procalcitonin levels were measured by using the immunoassay system Vidas based on the ELFA principles. The newborns with proven sepsis were divided into two groups. The first group comprised 55 newborns with RDS and proven sepsis and the second group included 55 newborns with asphyxia and proven sepsis. The statistical analysis confirmed significantly different values ​​of PCT in the analyzed time period in first group of newborns with RDS and proven sepsis, p<0.001. The highest average values (40.37±53.79) ​​were measured on admission with a high level of peak compared to the second group of newborns with asphyxia and proven sepsis. The statistical analysis confirmed significantly different values ​​of PCT in the analyzed time period in the first group of newborns with RDS and proven sepsis with mechanical ventilation (MV) and bubble continuous positive airway pressure (BCPAP) compared to the second group of newborns with asphyxia  and proven sepsis,  p<0.001. PCT is a promising sepsis marker in newborns with RDSy, capable of complementing clinical signs and routine laboratory parameters suggestive of severe infection at the time of ICU admission.