[Short-term neonatal outcomes of vacuum-assisted delivery. A case-control study]

Determinants of birth asphyxia among neonates admitted to neonatal intensive care units in hospitals of the Wolaita zone, Southern Ethiopia: A case-control study

Background

Birth asphyxia, according to the World Health Organization (WHO), is the inability of breathing to start and continue automatically at birth. Blood-gas exchange is impaired, which results in increased hypoxia, hyperapnea, and substantial metabolic acidosis. The aim of this study was to determine the factors contributing to birth asphyxia in infants admitted to neonatal intensive care units in hospitals in the Wolaita Zone.

Methods

An institution-based, unmatched case-control study among neonates admitted to neonatal intensive care units in Wolaita Zone hospitals was conducted from March 1 to April 15, 2021. With 148 cases and 294 controls and a case-to- control ratio of 1:2, a sample size of 442 was determined. The pre-tested and structured Open Data Kit collect mobile application (v1.26.1) was used to collect the data, and SPSS version 25 was used for analysis. Using adjusted odd ratios and their corresponding 95 % confidence intervals, bivariate and multivariable logistic regression analyzes were performed.

Results

A total of 143 cases and 286 controls were included making. the response rate 97 %. Meconium or blood-stained amniotic fluid (AOR = 5.43, 95%CI:3.10-9.50), mothers who experienced any of dangerous symptom during pregnancy (AOR = 3.71, 95%CI: 1.56-8.65), premature rupture of membrane (AOR = 3.12, 95%CI: 1.42-6.83), hypothermic newborn (AOR = 4.57, 95CI: 1.77-11.81), labor not supported by Basic Emergency Obstetric and Neonatal Care (BEMONC) trained health professional (AOR = 3.23, 95%CI: 1.83-5.71), birth weight of less than 2500 gm (AOR = 2.68, 95%CI: 1.04-6.92), sub-standard filling of partograph (AOR = 4.03, 95%CI: 2.19-7.41), not filling on partograph during follow-up (AOR = 8.16, 95%CI: 2.24-29.66) and assisted vaginal delivery (AOR = 1.87, 95%CI:1.03-3.39) were identified as determinants of birth asphyxia.

Conclusion

In this study, fetal conditions such as hypothermia and low birth weight, changes in the color of amniotic fluid, dangerous pregnancy symptoms, membrane rupture, standard filling of the partograph, and BEMONC training were factors that predicted birth asphyxia. Therefore, prompt and effective management of fetal and maternal problems and as well as the development of health professionals' BEMONC competence are crucial.

Application of machine learning to identify risk factors of birth asphyxia

BACKGROUND

Developing a prediction model that incorporates several risk factors and accurately calculates the overall risk of birth asphyxia is necessary. The present study used a machine learning model to predict birth asphyxia.

METHODS

Women who gave birth at a tertiary Hospital in Bandar Abbas, Iran, were retrospectively evaluated from January 2020 to January 2022. Data were extracted from the Iranian Maternal and Neonatal Network, a valid national system, by trained recorders using electronic medical records. Demographic factors, obstetric factors, and prenatal factors were obtained from patient records. Machine learning was used to identify the risk factors of birth asphyxia. Eight machine learning models were used in the study. To evaluate the diagnostic performance of each model, six metrics, including area under the receiver operating characteristic curve, accuracy, precision, sensitivity, specificity, and F1 score were measured in the test set.

RESULTS

Of 8888 deliveries, we identified 380 women with a recorded birth asphyxia, giving a frequency of 4.3%. Random Forest Classification was found to be the best model to predict birth asphyxia with an accuracy of 0.99. The analysis of the importance of the variables showed that maternal chronic hypertension, maternal anemia, diabetes, drug addiction, gestational age, newborn weight, newborn sex, preeclampsia, placenta abruption, parity, intrauterine growth retardation, meconium amniotic fluid, mal-presentation, and delivery method were considered to be the weighted factors.

CONCLUSION

Birth asphyxia can be predicted using a machine learning model. Random Forest Classification was found to be an accurate algorithm to predict birth asphyxia. More research should be done to analyze appropriate variables and prepare big data to determine the best model.

Complications of instrumental vaginal deliveries and associated factors in hospitals of Western Oromia, Ethiopia

Objective:

In developing countries like Ethiopia, there is lack of evidence that shows the magnitude and factors affecting complications of instrumental delivery. Most of the research done in Ethiopia was secondary data and lacks variables like socio-demographic factors, availability of cardiotocograph, number of traction, and who conducted delivery (qualification of health workers). So, this study tried to fill the gaps by conducting primary research with secondary data and adding those variables stated above.

Methods:

Health facility-based cross-sectional study was conducted from 20 February 20 June 2020 in five public hospitals in East Wollega Zone. Single population proportion formula used to calculate sample size. Systematic random sampling was employed. Interviewer-administered structured questionnaire, checklist, and document review were used to collect data from 282 respondents. Data entered to Epi Data version 3.01 and exported to a statistical package of social sciences version 21 for analysis. Those variables with p < 0.25 in the bivariate analyses were a candidate for multivariable logistic regression and multivariable logistic regression was done to identify factors associated with complications of instrumental vaginal delivery using 95% confidence interval and p < 0.05.

Results:

Complications of instrumental vaginal delivery were 37.2%. Out of all neonates delivered by operative vaginal delivery, 69 (24.5%) developed complications. Vacuum-assisted delivery (adjusted odd ratio = 0.245, 95% confidence interval 0.092–0.658), 120–160 fetal heartbeats per minute (adjusted odd ratio = 0.298, 95% confidence interval 0.114–0.628), birthweight > 4000 g (adjusted odd ratio = 4.09, 95% confidence interval 1.729–9.499) and outlet instrumentation (adjusted odd ratio = 0.139, 95% confidence interval 0.057–0.339) were associated with complications of instrumental vaginal delivery.

Conclusion:

Magnitude of complications of instrumental vaginal delivery was high in the study area. So, health professionals should give due attention on instrument selection and application. Instrumental delivery requires a careful assessment of clinical circumstances to identify the indications and contraindications for the application of the instruments.

Maternal and Neonatal Complications Resulting From Vacuum-Assisted and Normal Vaginal Deliveries

Background

Operative vaginal delivery is a procedure that is performed using forceps or vacuum to extract an infant from the birth canal. It has many indications, one of which is prolonged second stage of labor. Although rare, vacuum extraction (VE) can lead to various neonatal and maternal complications. The objective of this study was to compare the rates of different neonatal and maternal complications between vacuum-assisted deliveries and spontaneous vaginal deliveries.

Methods

This is a retrospective cohort study that was conducted in King Abdulaziz Medical City, Jeddah (KAMC-J), Saudi Arabia. The data were collected from the Labor and Delivery Unit at KAMC-J. A total of 745 samples was included (586 delivered spontaneously and 157 delivered by VE). Analysis was performed using the Statistical Package for Social Sciences (SPSS) Version 27.0.

Results

The median age was 30 years (IQR=36-34). Of all deliveries, vacuum was used in 21.1%. Perineal tear was the most frequent maternal complication (20.9%), while caput succedaneum was the commonest neonatal complication (11.8%). Post-partum hemorrhage was significantly higher among vacuum deliveries (RR=18.8; 95% CI: 5.5-64.15), as well as cephalohematoma (RR=28.9; 95% CI: 8.79-95.04) and caput succedaneum (RR=18.6; 95% CI: 10.99-31.49). The first-minute Apgar score was lower with VE (p < 0.001), and higher perineal tear degrees were reported with VE (p < 0.001).

Conclusion

The rates of maternal and neonatal complications were significantly higher among vacuum-assisted deliveries. The most serious neonatal complication was subgaleal hematoma, which is considered life-threatening. Further research is recommended to investigate subgaleal hematoma risk factors.

Determinants of birth asphyxia among newborns delivered in public hospitals of West Shoa Zone, Central Ethiopia: A case-control study

Birth asphyxia is one of the leading causes of death in low and middle-income countries and the prominent cause of neonatal mortality in Ethiopia. Early detection and managing its determinants would change the burden of birth asphyxia. Thus, this study identified determinants of birth asphyxia among newborns delivered in public hospitals of West Shoa Zone, central Ethiopia. A hospital-based unmatched case-control study was conducted from May to July 2020. Cases were newborns with APGAR (appearance, pulse, grimaces, activity, and respiration) score of <7 at first and fifth minute of birth and controls were newborns with APGAR score of ≥ 7 at first and fifth minute of birth. All newborns with birth asphyxia during the study period were included in the study while; two comparable controls were selected consecutively after each birth asphyxia case. A pre-tested and structured questionnaire was used to collect maternal socio-demographic and antepartum characteristics. The pre-tested checklist was used to retrieve intrapartum and fetal related factors from both cases and controls. The collected data were entered using Epi-Info and analyzed by SPSS. Bi-variable logistic regression analysis was done to identify the association between each independent variable with the outcome variable. Adjusted odds ratio (AOR) with a 95% CI and a p-value of <0.05 was used to identify determinants of birth asphyxia. In this study, prolonged labor (AOR = 4.15, 95% CI: 1.55, 11.06), breech presentation (AOR = 5.13, 95% CI: 1.99, 13.21), caesarean section delivery (AOR = 3.67, 95% CI: 1.31, 10.23), vaginal assisted delivery (AOR = 5.69, 95% CI: 2.17, 14.91), not use partograph (AOR = 3.36, 95% CI: 1.45, 7.84), and low birth weight (AOR = 3.74, 95% CI:1.49, 9.38) had higher odds of birth asphyxia. Prolonged labor, breech presentation, caesarean and vaginal assisted delivery, fails to use partograph and low birth weights were the determinants of birth asphyxia. Thus, health care providers should follow the progress of labor with partograph to early identify prolonged labor, breech presentation and determine the mode of delivery that would lower the burden of birth asphyxia.

Perinatal asphyxia and its associated factors in Ethiopia: a systematic review and meta-analysis

BACKGROUND

Despite different preventive strategies that have been implemented in different health institutions in the country, neonatal mortality and morbidity are still significantly increasing in Ethiopia. Perinatal asphyxia is the leading cause of neonatal morbidity and mortality worldwide. As a result, this systematic review and meta-analysis aimed to assess the prevalence and associated factors of perinatal asphyxia in Ethiopia.

METHODS

Online databases (PubMed, HINARI, EMBASE, Google Scholar and African Journals), other gray and online repository accessed studies were searched using different search engines. Newcastle-Ottawa Quality Assessment Scale (NOS) was used for critical appraisal of studies. The analysis was done using STATA 11 software. The Cochran Q test and I2 test statistics were used to test the heterogeneity of studies. The funnel plot and Egger's test were used to detect publication bias of the studies. The pooled prevalence of perinatal asphyxia and the odds ratio (OR) with a 95% confidence interval was presented using forest plots.

RESULT

Nine studies were included in this review, with a total of 12,249 live births in Ethiopia. The overall pooled prevalence of perinatal asphyxia in Ethiopia was 24.06% (95 95%CI: 18.11-30.01). Associated factors of perinatal asphyxia included prolonged labor (OR = 2.79, 95% CI: 1.98, 3.93), low birth weight (OR = 6.52, 95% CI: 4.40, 9.65), meconium-stained amniotic fluid (OR = 5.91, 95% CI: 3.95, 8.83) and instrumental delivery (OR = 4.04, 95% CI: 2.48, 6.60) were the determinant factors of perinatal asphyxia in Ethiopia.

CONCLUSIONS

The overall pooled prevalence of perinatal asphyxia was remarkably high. Duration of labor, meconium-stained amniotic fluid, instrumental deliveries, and birth weight were the associated factors of perinatal asphyxia in Ethiopia. Therefore, efforts should be made to improve the quality of intrapartum care service to prevent prolonged labor and fetal complications and to identify and make a strict follow up of mothers with meconium-stained amniotic fluid. This finding is important to early recognition and management of its contributing factors, might modify hypoxic-ischemic encephalopathy and may improve the implementation of the standard guideline effectively and consistently.