The Effect of Maternal Bariatric Surgery on Offspring Anthropometry: A Mixed Cohort.

PURPOSE: Although bariatric surgery is associated with a decrease in obesity complications, it may affect the children's growth by a maternal nutritional deficiency. This study was conducted to assess the effect of maternal bariatric surgery on offspring anthropometry. MATERIALS AND METHODS: In a mixed cohort, anthropometric status of children aged 5 years or less born to mothers with a history of bariatric surgery was compared with a control group consists of peers born to mothers with obesity but without bariatric surgery. Anthropometric indices including crude and quantile values for BMI, weight, height, and head circumference at birth and the first 5 years of life were measured. Then, the adjusted effect of maternal surgical history on anthropometric status was estimated by linear regression. RESULTS: From a total of 56 children, 28 born to mothers with a history of bariatric surgery, and 28 born to mothers with obesity but without bariatric surgery. At birth, weight (2915 vs 3225 g) and BMI (11.72 vs 12.94 kg/m2) were lower in the group with maternal bariatric surgery than in the control group (P = 0.02 and P = 0.03, respectively), although after regression adjustment, there was only a significant difference between the two groups in height for age value in children less than 5 years old (B = 0.872, P-value = 0.001). CONCLUSION: Bariatric surgery with decrease of weight indices at birth has a probable influence on growth and development in next years. Therefore, it is recommended further studies to identify unknown effect of types of preconception surgical procedures on childhood outcomes.

Pathological Examination of the Placenta in COVID-19-Positive Mothers: A Short Communication.

Background & Objective: It was declared that COVID-19 might be more severe in symptomatic pregnant patients. This study was conducted to examine the pathological indices of the placenta in pregnant women who were diagnosed with COVID-19. Methods: A total of 20 COVID-19-positive mothers were enrolled in this study. Detailed placental pathology findings were compared between subjects based on the history of abortion or occurrence of preterm delivery, hypertension, and diabetes. Results and Conclusion: Intervillositis was the most frequent abnormality of the placenta. There was also a significant association between abortion history and maternal vascular malperfusion (MVM; P=0.02). The placental abnormalities were found to be increased in women with COVID-19, regardless of maternal comorbidities. Further studies are needed to compare the placental pathology between COVID-19-positive women and healthy women.

Cardiopulmonary resuscitation of infants at birth: predictable or unpredictable?

BACKGROUND: Anticipating the need for at-birth cardiopulmonary resuscitation (CPR) in neonates is very important and complex. Timely identification and rapid CPR for neonates in the delivery room significantly reduce mortality and other neurological disabilities. The aim of this study was to create a prediction system for identifying the need for at-birth CPR in neonates based on Machine Learning (ML) algorithms. METHODS: In this study, 3,882 neonatal medical records were retrospectively reviewed. A total of 60 risk factors was extracted, and five ML algorithms of J48, Naïve Bayesian, multilayer perceptron, support vector machine (SVM), and random forest were compared to predict the need for at-birth CPR in neonates. Two types of resuscitation were considered: basic and advanced CPR. Using five feature selection algorithms, features were ranked based on importance, and important risk factors were identified using the ML algorithms. RESULTS: To predict the need for at-birth CPR in neonates, SVM using all risk factors reached 88.43% accuracy and F-measure of 88.4%, while J48 using only the four first important features reached 90.89% accuracy and F-measure of 90.9%. The most important risk factors were gestational age, delivery type, presentation, and mother's addiction. CONCLUSIONS: The proposed system can be useful in predicting the need for CPR in neonates in the delivery room.

Assessment of the Complications of Peripherally Inserted Central Catheter in Neonates Admitted to the Intensive Care Unit: A Center's Experience in Iran.

Background: Peripherally Inserted Central Catheter (PICC), which is inserted through peripheral veins into the superior or inferior vena cava, is used to inject medications or parenteral nutrition in neonates with long-term hospitalization in the intensive care unit. In this study, we assessed the complications of PICC in neonates admitted to the intensive care unit in hospital. Materials and Methods: In the present retrospective cohort, neonates admitted to the Neonatal Intensive Care Unit (NICU) of Valiasr Hospital during 2015-2018 had been divided into two groups with PICC and without it. Data included the occurrence of septicemia, tachycardia, perforation of large veins, pulmonary hypertension, cardiac tamponade, pericardial effusion, catheter site necrosis, hemorrhage, anemia, pleural effusion, ascites, phlebitis of catheter track and neonatal death, which were collected, using the comprehensive neonatal registry of Valiasr Hospital. Data analysis was performed with regression, mantel-haenszel and independent t-test. Results: Data from 174 neonates with PICC were compared to 207 infants with classic IV-Line. In the exposure group, the gestational age and birth weight were lower. Based on the results of the double logistic regression test, septicemia and hemorrhage in the injection site, independent of other variables, were related to the use of PICC and the risk of septicemia or hemorrhage in the injection site was significantly reduced if PCIC was used (p < 0.01). Conclusions: Using the PICC as a therapeutic procedure in hospitalized neonates in the NICU is a safe method. By improving its replacement skills among physicians and nurses, its side effects are minor and negligible.

Prediction of neonatal deaths in NICUs: development and validation of machine learning models.

BACKGROUND: Prediction of neonatal deaths in NICUs is important for benchmarking and evaluating healthcare services in NICUs. Application of machine learning techniques can improve physicians' ability to predict the neonatal deaths. The aim of this study was to present a neonatal death risk prediction model using machine learning techniques. METHODS: This study was conducted in Tehran, Iran in two phases. Initially, important risk factors in neonatal death were identified and then several machine learning models including Artificial Neural Network (ANN), decision tree (Random Forest (RF), C5.0 and CHART tree), Support Vector Machine (SVM), Bayesian Network and Ensemble models were developed. Finally, we prospectively applied these models to predict neonatal death in a NICU and followed up the neonates to compare the outcomes of these neonates with real outcomes. RESULTS: 17 factors were considered important in neonatal mortality prediction. The highest Area Under the Curve (AUC) was achieved for the SVM and Ensemble models with 0.98. The best precision and specificity were 0.98 and 0.94, respectively for the RF model. The highest accuracy, sensitivity and F-score were achieved for the SVM model with 0.94, 0.95 and 0.96, respectively. The best performance of models in prospective evaluation was for the ANN, C5.0 and CHAID tree models. CONCLUSION: Using the developed machine learning models can help physicians predict the neonatal deaths in NICUs.

Personality traits of volunteer females of normal vaginal delivery or cesarean section based on HEXACO's personality model: a comparison study.

BACKGROUND: Child birth is one of the most important events in a mother's life. Different factors influence whether a child is delivered by cesarean or normal vaginal delivery. Despite the complications of cesarean, demand for this type of delivery is increasing. The purpose of this study was to examine the influence of personal traits on the choice of the delivery method based on HEXACO personality model. METHODS: Two hundred and ten pregnant women in some health centers in Tehran volunteered to participate in this research. To identify their personality dimensions, the pregnant women first filled out HEXACO personality forms. Then, the received data were analyzed through multivariate analysis of variance using a software package called SPSS-23. RESULTS: 104 women selected cesarean and 106 other women preferred normal vaginal delivery. The results of the multivariate analysis of variance showed that there is a significant difference between the two groups of women for six personality factors in HEXACO (P = 0.001). The linear combination of personality characteristics of pregnant women has a significant effect on the choice of delivery method (P < 0.05). CONCLUSIONS: Personality differences of pregnant women can be considered in psychological interventions and antenatal counseling to overcome psychological resistance to vaginal delivery and increase its choice.

Review of the Iranian Newborns' Health, Survival, and Care and Future Challenges.

INTRODUCTION: Providing, maintaining, and improving the health of newborns is one of the most important goals of the health care system in the Islamic Republic of Iran. On the eve of the 40th anniversary of the Islamic Revolution of Iran, we will review factors affecting the health of Iranian neonates over the past 40 years. METHODS: We investigated the evolution of neonatal health and contributing factors in all reports, documents, and articles published by the Iranian Ministry of Health and Medical Education and the former Iranian Ministry of Health as well as WHO, and UNICEF databases from 1970 to 2018. The main topics of the present study include recent developments in reduction of maternal and neonatal mortality, major measures taken to decrease risk of neonatal death, and future challenges. RESULTS: We have reviewed more than 3500 pages of documents and articles published by authoritative sources before and after the Islamic Revolution. A neonatal mortality rate (NMR) of 9.6 per 1000 in 2017 was recordred in Iran, demonstrating a reduction of over three-quarters compared with the pre-Revolution period. Improved prenatal care and nutrition, tetanus vaccination of pregnant mothers, performance of 96.4% of deliveries by trained individuals, circulation of clinical protocols for the integration of midwifery and maternity services, provision of neonatal resuscitation equipment in delivery rooms, promotion of breastfeeding from the first hour after birth onward, establishing and equipping NICUs, increased training of specialists and sub-specialists, prevention and treatment of infections, increasing awareness in families and family-centered neonatal care focused on neonatal brain development, the Newborn Indivisualized Developmental Care and Assessment Program (NIDCAP) and Kangaroo-Mother Care (KMC) are examples of progress made in neonate healthcare after the Islamic Revolution. CONCLUSION: Despite 8 years of war and a variety of sanctions being imposed against I.R. of Iran, very substantial improvements have been achieved in neonatal health and relevant underlying factors. However, we are still faced with challenges that require the engagement of experts and researchers in neonatal medicine.

Effect of intrauterine device insertion on Candida species in cervicovaginal specimen identified by polymerase chain reaction technic: A longitudinal study on Iranian women.

AIM: To assess the effects of copper T-380-A intrauterine device (IUD) insertion on Candida species in cervicovaginal specimen by a molecular method, polymerase chain reaction. METHODS: This is a longitudinal prospective study performed on 95 women attending Health Centers of Tehran, Iran in 2012, who selected copper T-380-A IUD for contraception and had no history of local or systemic antibiotics or antifungals use during the previous 2 weeks. Cervicovaginal specimens were twice collected and cultured on Sabouraud dextrose agar and CHROMagar Candida, before and 3 months after IUD insertion. Finally, a molecular method, PCR-RFLP was performed for identification of Candida species. P-values <0.05 were considered significant. RESULTS: The mean age of participants was 28 ± 7.44 years. Positive Candida cultures were significantly increased 3 months after IUD insertion (25.3% vs 11.6%, P = 0.007). The most common identified species before and after IUD insertion, were Albicans, Glabrata and then both 'Albicans & Glabrata', respectively. The prevalence of Albicans and Glabrata decreased, while both 'Albicans & Glabrata' increased insignificantly. CONCLUSION: There was more than about fourfold increase in positive Candida cultures after IUD insertion. As the prevalence of simultaneous infection with both 'Albicans & Glabrata' species which are resistant to usual treatment, increased, it seems necessary to provide more intensive follow-up care for IUD users.