Perinatal Factors Preceding Neonatal Hypoxic-Ischemic Encephalopathy in El-Minia Locality

Ibrahim, Mahmoud; Asmaa, Moustafa N

doi:10.4172/2161-0932.1000403

Cited by 3 publications

(6 citation statements)

References 9 publications

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“…Another study with similar outcome was found by Asad Nauman Kiyani et al (2014) [13] with males (64%) outnumbering females (36%). Similar result was observed by Mahmoud H Ibrahim et al (2016) [14] with male sex accounting for 71.3%. This difference may be due to more number of male asphyxiated babies who were brought to the hospital.…”

Section: Discussionsupporting

confidence: 89%

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A Study on Plasma Biochemical Phenomena in Hypoxic-Ischaemic Encephalopathy Cases in Tertiary Care Hospital

Das¹,

Murmu²,

Nayak³

2018

jemds

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BACKGROUND Perinatal asphyxia can lead to hypoxic ischaemic encephalopathy (HIE). The mortality due to hypoxic ischaemic encephalopathy is as high as 28.8% and morbidity is 30% of surviving newborn due to hypoxic ischaemic encephalopathy. Aims and Objectives-To study the plasma biochemical phenomena in neonates with hypoxic ischaemic encephalopathy in relation with severity of HIE. MATERIALS AND METHODSIt is a hospital-based prospective study done in tertiary care hospital in SCB Medical College Hospital and SVP PG Institute, Cuttack from November 2015 to October 2017. RESULTSThe babies with perinatal asphyxia develop hyponatraemia, hypocalcaemia, hyperkalaemia, high serum urea and creatinine, high serum ALT, AST, ALP, decrease in serum albumin and increase in Prothrombin time in proportion to the severity of asphyxia. CONCLUSIONA significant number of babies with birth asphyxia and deranged biochemical parameters either died or discharged with severe neurological sequelae. It can be concluded that deranged biochemical parameters are early indicators of poor outcome. Studies should be held on the effects of early correction of these metabolic derangements with their outcomes, so that it may invent a new horizon of treatment for birth asphyxia babies.

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Section: Discussionsupporting

confidence: 89%

“…Similar result was observed by Asad Nauman Kiyani (2014) [13] with mean weight of the newborn was calculated as 2621.37 (± 74.21) grams. Another study by Mahmoud H Ibrahim et al (2016) [14] found the mean weight to be 2.9 ± 0.5 kg.…”

Section: Discussionmentioning

confidence: 92%

A Study on Plasma Biochemical Phenomena in Hypoxic-Ischaemic Encephalopathy Cases in Tertiary Care Hospital

Das¹,

Murmu²,

Nayak³

2018

jemds

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“…The majority of study participants were male (n=29; 63.0%), which is comparable with other studies in LMICs. [8,9] As with other African studies, most mothers were primigravida (n=31; 67.4%). [8,10,11] The median maternal age was 27.0 years, which is higher than that of other studies.…”

Section: Research Articlesupporting

confidence: 73%

“…Participants' clinical records were prospectively reviewed, and a checklist of factors related to the neonate and mother was used to capture data. [8,9,16] The SPSS statistical software package, version 26.0 (IBM Corp., USA), was used for all statistical analyses, except for the power calculation, which was done using G*Power version 3.1.9.4 (Heinrich Heine Universität, Düsseldorf). Factors from participants' clinical records comprised categorical and continuous variables and, for the latter, the Shapiro-Wilk test was used to test normality.…”

Section: Research Articlementioning

confidence: 99%

“…Factors such as lack of antenatal care, intra-uterine growth restriction, prolonged second stage of labour, meconiumstained amniotic fluid, eclampsia and lower socio-economic status were previously linked to HIE in LMICs. [8][9][10] However, gaps in research, including dated studies, retrospective designs and lack of universally accepted HIE definitions, exist. Also, few studies compared factors between severity types, often grouping moderate and severe infants together or comparing survivors and nonsurvivors.…”

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confidence: 99%

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South African neonates with mild and moderate hypoxic-ischaemic encephalopathy

Malan

Linde

Kritzinger

et al. 2022

S Afr J Child Health

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Background. Clear risk profiles of neonates with mild and moderate hypoxic-ischaemic encephalopathy (HIE) are lacking.Objective. To describe and compare factors associated with mild and moderate HIE in South African neonates.Methods. A prospective, comparative design was used to describe factors among South African neonates with mild (n=13) and moderate (n=33) HIE in an urban tertiary academic hospital. HIE diagnosis and encephalopathy grading were conducted using the modified Sarnat stages. Thompson scores were recorded. Participants’ clinical records were reviewed to identify factors. Descriptive data were obtained. Chi-square and Fisher’s exact tests were used to compare categorical data, and Mann-Whitney tests were used to compare continuous data between groups.Results. Significant differences were found between groups’ admission (p<0.001) and highest Thompson scores (p<0.001). The mild group’s APGAR scores were significantly higher than those of the moderate group at five (p=0.012) and ten minutes (p=0.022). Duration of resuscitation (p=0.011) and time to spontaneous respiration (p=0.012) also differed significantly between groups. Significantly more moderate than mild participants received therapeutic hypothermia (TH) (p<0.001).Conclusion. Clinical tests and management factors differed significantly between groups. The findings provided the multidisciplinary team with an increased understanding of the heterogeneous HIE population and add to existing evidence for identifying neonates eligible for TH in resource-limited settings.

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Application of machine learning to identify risk factors of birth asphyxia

Darsareh

Ranjbar

Etebarian

et al. 2023

BMC Pregnancy Childbirth

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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.

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Perinatal Factors Preceding Neonatal Hypoxic-Ischemic Encephalopathy in El-Minia Locality

Cited by 3 publications

References 9 publications

A Study on Plasma Biochemical Phenomena in Hypoxic-Ischaemic Encephalopathy Cases in Tertiary Care Hospital

A Study on Plasma Biochemical Phenomena in Hypoxic-Ischaemic Encephalopathy Cases in Tertiary Care Hospital

South African neonates with mild and moderate hypoxic-ischaemic encephalopathy

Application of machine learning to identify risk factors of birth asphyxia

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