Dataset Information

High burden of neural tube defects in Tigray, Northern Ethiopia: Hospital-based study.

ABSTRACT: INTRODUCTION:Neural tube defects are the major causes of fetal loss and considerable disabilities in infants. Currently, there is no significant research on the incidence of Neural tube defects in the Tigray region of Ethiopia. OBJECTIVE:To determine the incidence and clinical pattern of the Neural Tube Defects. METHODS:A hospital-based cross-sectional study was conducted from October 2016 to June 2017. All pregnancy outcomes were examined for any externally visible birth defects and neurological integrity by trained midwives under the supervision of senior obstetrics and gynecology and a neurosurgeon. Data were collected using a survey tool to collect maternal and newborn demographic data and a checklist developed to capture newborns with Neural Tube Defects. Data were analyzed using SPSS version 20. The prevalence of NTDs was calculated per 10,000 births. RESULT:Out of the 14,903 births during the study period, a total of 195 infants were born afflicted with Neural Tube Defects. The burden of infants with anencephaly and spina bifida was 66.4 and 64.4 per 10, 000 births, respectively. The overall incidence rate of NTDs in this study was 131 per 10, 000 births of which 23% were liveborn and 77% were stillborn. The highest burden of Neural Tube Defects was observed in Adigrat Hospital from Eastern Zone of Tigray (174 per 10,000 births) and Lemlem Karl Hospital from Southern Zone of Tigray (304 per 10,000 births) compared to Kahsay Abera Hospital from Western Zone (72.8 per 10,000 births) and Sihul Hospital from North Western Zone of Tigray (69.8 per 10,000 births). CONCLUSION AND RECOMMENDATION:Assuming that the non folic acid preventable rate should be 5 per 10,000 births, our prevalence rate is 131 per 10,000 births, and then we have a rate or an epidemic that is 26 times what it should be. This just emphasizes the urgency to implement effective programs to get all women of reproductive age to have adequate folic acid to prevent all of folic acid-preventable spina bifida and anencephaly, which would prevent 96% (125/130) of spina bifida and anencephaly in the Tigray Provence.

SUBMITTER: Berihu BA

PROVIDER: S-EPMC6235279 | biostudies-other | 2018

REPOSITORIES: biostudies-other

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High burden of neural tube defects in Tigray, Northern Ethiopia: Hospital-based study.

Berihu Birhane Alem BA Welderufael Abadi Leul AL Berhe Yibrah Y Magana Tony T Mulugeta Afework A Asfaw Selemawit S Gebreselassie Kibrom K

PloS one 20181114 11

<h4>Introduction</h4>Neural tube defects are the major causes of fetal loss and considerable disabilities in infants. Currently, there is no significant research on the incidence of Neural tube defects in the Tigray region of Ethiopia.<h4>Objective</h4>To determine the incidence and clinical pattern of the Neural Tube Defects.<h4>Methods</h4>A hospital-based cross-sectional study was conducted from October 2016 to June 2017. All pregnancy outcomes were examined for any externally visible birth d ...[more]

PMID: 30427877

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Project description:BACKGROUND:Aim of this retrospective study was to describe clinical characteristics, diagnostic work-up, management and follow-up of newborns with neural tube defects (NTDs), admitted to the Mother and Child Department of the University Hospital of Palermo, in a ten years period. METHODS:The medical records of 7 newborns (5 males and 2 females) admitted, over a 10-year period from January 2010 to March 2020, to our Department on the first day of life were reviewed. Analyzed data were related to familiar and/or maternal risk factors (consanguinity, maternal preexisting and/or gestational diseases, exposure to teratogen/infectious agents, lack of preconception folic acid supplement), demographic (ethnicity/origin, residence) and clinical features (eventual use of assisted reproduction techniques, prenatal diagnosis, gestational age, fetal presentation, type of delivery, birth weight, preoperative imaging, antibiotics and analgesics use, description of the surgery intervention, length of hospital stay, comorbidities, complications), and follow-up. RESULTS:In our sample we observed a wide spectrum of NTDs: 3 newborns had open NTDs, namely myelomeningocele (2 lumbosacral, one of which associated with extradural lipoma, and 1 sacral), and 4 closed ones, including 2 with meningocele (occipital), 1 filar lipoma associated with dermal sinus, and 1 terminal myelocystocele. Our patients were discharged between 8 and 22?days of life. The neurodevelopmental follow-up showed a favorable outcome for 4 of the 7 patients, and the appearance over time of neurological impairment (motor and/or autonomic) in the newborns with open NTDs. CONCLUSIONS:This study describes familiar and/or maternal risk factors and demographic and clinical features of a single-center series of newborns with NTDs. It may provide a further outline of the actual phenotypic spectrum of these malformations, and new insights into epidemiological aspects and comprehensive management of the patients, including diagnostic work-up and follow-up evaluations.

Project description:Background: Open spina bifida (myelomeningocele) is the result of the failure of spinal cord closing completely and is the second most common and severe birth defect. Open neural tube defects are multifactorial, and the exact molecular mechanism of the pathogenesis is not clear due to disease complexity for which prenatal treatment options remain limited worldwide. Artificial intelligence techniques like machine learning tools have been increasingly used in precision diagnosis. Objective: The primary objective of this study is to identify key genes for open neural tube defects using a machine learning approach that provides additional information about myelomeningocele in order to obtain a more accurate diagnosis. Materials and Methods: Our study reports differential gene expression analysis from multiple datasets (GSE4182 and GSE101141) of amniotic fluid samples with open neural tube defects. The sample outliers in the datasets were detected using principal component analysis (PCA). We report a combination of the differential gene expression analysis with recursive feature elimination (RFE), a machine learning approach to get 4 key genes for open neural tube defects. The features selected were validated using five binary classifiers for diseased and healthy samples: Logistic Regression (LR), Decision tree classifier (DT), Support Vector Machine (SVM), Random Forest classifier (RF), and K-nearest neighbour (KNN) with 5-fold cross-validation. Results: Growth Associated Protein 43 (GAP43), Glial fibrillary acidic protein (GFAP), Repetin (RPTN), and CD44 are the important genes identified in the study. These genes are known to be involved in axon growth, astrocyte differentiation in the central nervous system, post-traumatic brain repair, neuroinflammation, and inflammation-linked neuronal injuries. These key genes represent a promising tool for further studies in the diagnosis and early detection of open neural tube defects. Conclusion: These key biomarkers help in the diagnosis and early detection of open neural tube defects, thus evaluating the progress and seriousness in diseases condition. This study strengthens previous literature sources of confirming these biomarkers linked with open NTD's. Thus, among other prenatal treatment options present until now, these biomarkers help in the early detection of open neural tube defects, which provides success in both treatment and prevention of these defects in the advanced stage.

Dataset Information

High burden of neural tube defects in Tigray, Northern Ethiopia: Hospital-based study.

Publications

High burden of neural tube defects in Tigray, Northern Ethiopia: Hospital-based study.

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