The evaluation of the antepartum and intrapartum risk factors in predicting the risk of birth asphyxia

Tunç, Şeyhmus; Oğlak, Süleyman Cemil; Özköse, Zeynep Gedik; Ölmez, Fatma

doi:10.1111/jog.15214

“…Furthermore, it is hypothesized that there are interactions between infections and other complications of labour, that cause compromise of placental gaseous exchange, leading to fetal hypoxia and then birth asphyxia [13]. Intrapartum complications such as pre-eclampsia, obstructed labour, prolonged labour, malpresentations, induction of labour, and having meconium-stained amniotic fluid, have been associated with birth asphyxia in many studies in Africa, and beyond [20][21][22].…”

Section: Introductionmentioning

confidence: 99%

Factors associated with birth asphyxia among term singleton births at two referral hospitals in Northern Uganda: a cross sectional study

Ayebare

¹

,

Hanson

²

,

Nankunda

³

et al. 2022

BMC Pregnancy Childbirth

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Background Birth asphyxia is one of the leading causes of neonatal mortality worldwide. In Uganda, it accounts for 28.9% of all neonatal deaths. With a view to inform policy and practice interventions to reduce adverse neonatal outcomes, we aimed to determine the prevalence and factors associated with birth asphyxia at two referral hospitals in Northern Uganda. Methods This was a cross-sectional study, involving women who gave birth at two referral hospitals. Women in labour were consecutively enrolled by the research assistants, who also attended the births and determined Apgar scores. Data on socio-demographic characteristics, pregnancy history and care during labour, were obtained using a structured questionnaire. Participants were tested for; i) malaria (peripheral and placental blood samples), ii) syphilis, iii) white blood cell counts (WBC), and iv) haemoglobin levels. The prevalence of birth asphyxia was determined as the number of newborns with Apgar scores < 7 at 5 min out of the total population of study participants. Factors independently associated with birth asphyxia were determined using multivariable logistic regression analysis and a p-value < 0.05 was considered statistically significant. Results A total of 2,930 mother-newborn pairs were included, and the prevalence of birth asphyxia was 154 [5.3% (95% confidence interval: 4.5- 6.1)]. Factors associated with birth asphyxia were; maternal age ≤ 19 years [adjusted odds ratio (aOR) 1.92 (1.27–2.91)], syphilis infection [aOR 2.45(1.08–5.57)], and a high white blood cell count [aOR 2.26 (1.26–4.06)], while employment [aOR 0.43 (0.22–0.83)] was protective. Additionally, referral [aOR1.75 (1.10–2.79)], induction/augmentation of labour [aOR 2.70 (1.62–4.50)], prolonged labour [aOR 1.88 (1.25–2.83)], obstructed labour [aOR 3.40 (1.70–6.83)], malpresentation/ malposition [aOR 3.00 (1.44–6.27)] and assisted vaginal delivery [aOR 5.54 (2.30–13.30)] were associated with birth asphyxia. Male newborns [aOR 1.92 (1.28–2.88)] and those with a low birth weight [aOR 2.20 (1.07–4.50)], were also more likely to develop birth asphyxia. Conclusion The prevalence of birth asphyxia was 5.3%. In addition to the known intrapartum complications, teenage motherhood, syphilis and a raised white blood cell count were associated with birth asphyxia. This indicates that for sustained reduction of birth asphyxia, appropriate management of maternal infections and improved intrapartum quality of care are essential.

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“…Moreover, morality is still high. Neonatal asphyxia accounts for 30% -35% of all neonatal deaths worldwide [7]. According to the 2019 Levels and Trends in Child Mortality report, childbirth-related events, such as birth asphyxia or lack of breathing in childbirth, accounted for as much as 11% of all deaths worldwide among children under the age of 5 in 2018 [8].…”

Section: Introduction and Objectivementioning

confidence: 99%

Neonatal asphyxia – predicting its occurrence and neurodevelopment of children after hypothermia treatment in the context of machine learning models – literature review

Biedroń,

Tokarzewska,

Rekowska

et al. 2024

J Pre Clin Clin Res.

0

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Introduction and Objective. Perinatal asphyxia (PA) is a condition of impaired blood gas exchange which, if persistent, leads to progressive hypoxemia and hypercapnia. PA is characterized by high neonatal mortality or neurodevelopmental disorders in the child's later life. PA is closely related to hypoxic-ischemic encephalopathy (HIE), which is a complication of perinatal hypoxia. In recent years, there has been a growing interest in the use of machine learning (ML) and artificial intelligence (AI) in medicine. The development of machine learning models can improve patient care by applying them to diagnosis, prognosis, decision support, and treatment recommendations. Review Methods. The data for the article was found using the Web of Science, PubMed, Scopus and Google Scholar websites which were thematically selected for work. Brief description of the state of knowledge. Currently, no sufficiently effective prophylactic and therapeutic methods can prevent HIE or death in newborns with PA. Hypothermia is currently the only available method that seems to improve the prognosis in neonates with PA; however, it is not completely effective. In recent years, research has been conducted in the use of machine learning models to predict the occurrence of neonatal asphyxia, based on the occurrence of specific risk factors. Additionally, research has been carried out on the use of neuroimaging in predicting the neurodevelopmental condition of children after neonatal asphyxia. Summary. Presently, there are no preventive and therapeutic methods that can prevent HIE or death in newborns with severe perinatal hypoxia. In addition to basic knowledge about asphyxia, the review presents issues that could become the beginning of future research in the use of machine learning in neonatology.

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“…To eliminate preventable causes of maternal death due to pregnancy-related complications, existing interventions during pregnancy and delivery must be scaled up [ 7 ]. Hemorrhage, hypertension, and infection are the leading causes of maternal death [ 9 , 10 ]. The most common causes of newborn deaths and stillbirths are asphyxia, prematurity, and infections, and the majority are preventable with existing evidence-based interventions, either directly or indirectly, during pregnancy, labor, delivery, and postpartum [ 5 , 7 , 11 , 12 ].…”

Section: Introductionmentioning

confidence: 99%

Missed Opportunity of Antenatal Care Services Utilization and Associated Factors among Reproductive Age Women in Eastern Hararghe Zone, Eastern Ethiopia: Mixed Methods Study

Mussa,

Makhubela-Nkondo,

Maruta

et al. 2023

Journal of Pregnancy

0

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Background. Despite the enormous advantages of early pregnancy-related problem diagnosis and therapy during prenatal care visits, not all pregnant women begin antenatal care at the proper time. Thus, this study aims to identify factors associated with missed opportunities for antenatal care service utilization among reproductive-age women in Eastern Ethiopia. Methods. A mixed methods study design (quantitative and qualitative) was conducted in Grawa, Meta, and Haramaya woredas from September 5 to December 5, 2019. The quantitative data were analyzed using SPSS version 25. A multivariable logistic regression analysis model was used to identify the predictors. Statistical software programs based on ATLAS.ti version 8.2 was were used to conduct the thematic analysis of the qualitative data. Results. Overall, missed opportunities for antenatal care were 15.4% of 95% (12.1, 19.1%). Factors such as maternal age being 15–24 ( AOR = 6.9 , 95% CI: 2.89–8.81); having a college education ( AOR = 0.02 , 95% CI: 0.001, 0.42), elementary ( AOR = 0.05 , 95% CI: 0.002, 0.98), and secondary education ( AOR = 0.04 , 95% CI: 0.001, 0.88); having five and more parity ( AOR = 0.08 , 95% CI: 0.01, 0.75); three visits ( AOR = 0.10 , 95% CI: 0.02, 0.71); those in the first trimester ( AOR = 0.02 , 95% CI: 0.001, 0.35) and the second trimester ( AOR = 0.01 , 95% CI: 0.001, 0.26); and get information from a health facility (AOR =0.09, 95% CI: 0.01, 0.67) and traditional birth attendance ( AOR = 0.02 , 95% CI: 0.001, 0.74) were factors statistically associated with outcome variables. Conclusions. According to this report, relatively high proportions of pregnant women experienced missed opportunities in antenatal care follow-up. Factors such as maternal age, education, parity, frequency, timing, and media access were statistically significantly correlated with missed antenatal care follow-up. Therefore, all stakeholders should emphasize advocating for and enhancing the benefits of antenatal care; this in turn plays a crucial role in increasing the follow-up of clients for these crucial services. Moreover, health policy implementers need to coordinate their tracking of pregnant women who missed their antenatal care session.

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The evaluation of the antepartum and intrapartum risk factors in predicting the risk of birth asphyxia

Cited by 4 publications

References 41 publications

Factors associated with birth asphyxia among term singleton births at two referral hospitals in Northern Uganda: a cross sectional study

Factors associated with birth asphyxia among term singleton births at two referral hospitals in Northern Uganda: a cross sectional study

Neonatal asphyxia – predicting its occurrence and neurodevelopment of children after hypothermia treatment in the context of machine learning models – literature review

Missed Opportunity of Antenatal Care Services Utilization and Associated Factors among Reproductive Age Women in Eastern Hararghe Zone, Eastern Ethiopia: Mixed Methods Study

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