Physician attitudes in Romania toward withholding and withdrawal of intensive care for infants with very poor prognosis.

OBJECTIVE: The purpose of this study was to examine the attitudes of Romanian physicians toward withholding and withdrawing intensive care for infants whose prognosis is very poor. METHODS: A survey tool was developed by the authors and completed by participants in the annual meeting of the Neonatology Association of Romania. RESULTS: The majority of respondents attempt resuscitation of all live-born infants, have never stopped resuscitation at birth while the infant was still alive, and have never stopped respiratory support because of poor prognosis. Nearly all respondents were uncomfortable talking with parents about withholding or withdrawing intensive care, and they were also uncomfortable talking to the parents about the death of their infant. CONCLUSIONS: Romanian physicians are uniformly reluctant to withhold or withdraw intensive care for infants, even those with very poor prognosis. In addition, physicians are very uncomfortable talking with parents about limiting or stopping support and talking about the death of an infant. Educational programs targeting the communication of difficult topics with parents have the potential to decrease the discomfort experienced by physicians in conversing with parents about their child's poor prognosis or death.

Machine Learning Approaches for the Prediction of Hepatitis B and C Seropositivity.

(1) Background: The identification of patients at risk for hepatitis B and C viral infection is a challenge for the clinicians and public health specialists. The aim of this study was to evaluate and compare the predictive performances of four machine learning-based models for the prediction of HBV and HCV status. (2) Methods: This prospective cohort screening study evaluated adults from the North-Eastern and South-Eastern regions of Romania between January 2022 and November 2022 who underwent viral hepatitis screening in their family physician's offices. The patients' clinical characteristics were extracted from a structured survey and were included in four machine learning-based models: support vector machine (SVM), random forest (RF), naïve Bayes (NB), and K nearest neighbors (KNN), and their predictive performance was assessed. (3) Results: All evaluated models performed better when used to predict HCV status. The highest predictive performance was achieved by KNN algorithm (accuracy: 98.1%), followed by SVM and RF with equal accuracies (97.6%) and NB (95.7%). The predictive performance of these models was modest for HBV status, with accuracies ranging from 78.2% to 97.6%. (4) Conclusions: The machine learning-based models could be useful tools for HCV infection prediction and for the risk stratification process of adult patients who undergo a viral hepatitis screening program.

The Influence of Maternal KIR Haplotype on the Reproductive Outcomes after Single Embryo Transfer in IVF Cycles in Patients with Recurrent Pregnancy Loss and Implantation Failure-A Single Center Experience.

(1) Background: Recurrent pregnancy loss (RPL) and recurrent implantation failure (RIF) have in common a deficient maternal adaptation to the semi-allogeneic fetus, in which killer immunoglobulin-like receptor (KIR) family expressed by natural killer (NK) cells play an important role. The aim of this study was to evaluate the influence of maternal KIR haplotype on the reproductive outcomes after single embryo transfer in IVF cycles in patients with RPL and RIF. (2) Methods: Patients with RIF and RPL who presented at Origyn Fertility Center from Iasi, Romania, were prospectively enrolled between January 2020 and December 2022. Clinical and paraclinical data was examined. Descriptive statistics and a conditional logistic regression model were used to analyze our data. (3) Results: Patients with a KIR AA haplotype had significantly more chances of miscarriage if they underwent an IVF procedure (aOR: 4.15, 95% CI: 1.39-6.50, p = 0.032) compared with those who spontaneously achieved a pregnancy. Moreover, it appeared that the same haplotype increased the chances of obtaining a pregnancy for patients who underwent an IVF procedure (aOR: 2.57, 95% CI: 0.85-6.75, p = 0.023). (4) Conclusions: Determination of KIR haplotype could be beneficial for patients with RPL or RIF in order to offer an individualized management.

The Role of Follow-up in Monitoring the Outcomes of Prematurity in a Cohort of Romanian Infants.

BACKGROUND: The rate of preterm births in Romania is one of the highest among European countries. However, there is little information regarding the ways in which premature birth affects the outcome in Romanian preterm infants. AIMS: To investigate the effects of early developmental intervention after discharge from the hospital on motor and cognitive development in preterm infants. STUDY DESIGN: Longitudinal observational study. METHODS: We performed the Amiel-Tison neurologic evaluation at discharge and the Bayley Scales of Infant Development from 3 to 24 months. Based on these evaluations, an outcome score was formulated. RESULTS: Between 2007 and 2010, 1157 of 2793 premature infants were included into the study. There was a negative correlation between the number of evaluations and the risk of developing neurologic sequelae (p<0.001). The correlation analysis demonstrated a significant association between the final category of risk at the end of the follow up program and the degree of compliance (p<0.01). At 24 months evaluation, there was a correlation between the low gestational age and the risk of developing severe neurologic sequelae (p<0.001). CONCLUSION: This study shows the importance of follow up program in decreasing the risk of developing neurologic sequelae in preterm infants.