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Preterm birth (PTB; delivery prior to 37 weeks' gestation) is the leading cause of early childhood death in Singapore today. Approximately 9% of Singaporean babies are born preterm; the PTB rate is likely to increase given the increased use of assisted reproduction technologies, changes in the incidence of gestational diabetes/high body mass index and the ageing maternal population. Antenatal administration of dexamethasone phosphate is a key component of the obstetric management of Singaporean women who are at risk of imminent preterm labour. Dexamethasone improves preterm outcomes by crossing the placenta to functionally mature the fetal lung. The dexamethasone regimen used in Singapore today affords a very high maternofetal drug exposure over a brief period of time. Drawing on clinical and experimental data, we reviewed the pharmacokinetic profile and pharmacodynamic effects of dexamethasone treatment regimen in Singapore, with a view to creating a development pipeline for optimising this critically important antenatal therapy. [ABSTRACT FROM AUTHOR]

Introduction: Artificial placenta therapy (APT) is an experimental life support system to improve outcomes for extremely preterm infants (EPI) less than 1,000 g by obviating the need for pulmonary gas exchange. There are presently no long-term survival data for EPI supported with APT. To address this, we aimed to maintain 95d-GA (GA; term-150d) sheep fetuses for up to 2 weeks using our APT system. Methods: Pregnant ewes (n = 6) carrying singleton fetuses underwent surgical delivery at 95d GA. Fetuses were adapted to APT and maintained for up to 2 weeks with constant monitoring of key physiological parameters and extensive timecourse blood and urine sampling, and ultrasound assessments. Six age-matched in-utero fetuses served as controls. Data were tested for group differences with ANOVA. Results: Six APT Group fetuses (100%) were adapted to APT successfully. The mean BW at the initiation of APT was 656 ± 42 g. Mean survival was 250 ± 72 h (Max 336 h) with systemic circulation and key physiological parameters maintained mostly within normal ranges. APT fetuses had active movements and urine output constantly exceeded infusion volume over the experiment. At delivery, there were no differences in BW (with edema in three APT group animals), brain weight, or femur length between APT and in-utero Control animals. Organ weights and humerus lengths were significantly reduced in the APT group (p < 0.05). Albumin, IGF-1, and phosphorus were significantly decreased in the APT group (p < 0.05). No cases of positive blood culture were detected. Conclusion: We report the longest use of APT to maintain extremely preterm fetuses to date. Fetal systemic circulation was maintained without infection, butgrowth was abnormal. This achievement suggests a need to focus not only on cardiovascular stability and health but also on the optimization of fetal growth and organ development. This new challenge will need to be overcome prior to the clinical translation of this technology. [ABSTRACT FROM AUTHOR]

Natural language processing is a form of artificial intelligence that allows human users to interface with a machine without using complex codes. The ability of natural language processing systems, such as ChatGPT, to successfully engage with healthcare systems requiring fluid reasoning, specialist data interpretation, and empathetic communication in an unfamiliar and evolving environment is poorly studied. This study investigated whether the ChatGPT interface could engage with and complete a mock objective structured clinical examination simulating assessment for membership of the Royal College of Obstetricians and Gynaecologists. This study aimed to determine whether ChatGPT, without additional training, would achieve a score at least equivalent to that achieved by human candidates who sat for virtual objective structured clinical examinations in Singapore. This study was conducted in 2 phases. In the first phase, a total of 7 structured discussion questions were selected from 2 historical cohorts (cohorts A and B) of objective structured clinical examination questions. ChatGPT was examined using these questions and responses recorded in a script. Of note, 2 human candidates (acting as anonymizers) were examined on the same questions using videoconferencing, and their responses were transcribed verbatim into written scripts. The 3 sets of response scripts were mixed, and each set was allocated to 1 of 3 human actors. In the second phase, actors were used to presenting these scripts to examiners in response to the same examination questions. These responses were blind scored by 14 qualified examiners. ChatGPT scores were unblinded and compared with historical human candidate performance scores. The average score given to ChatGPT by 14 examiners was 77.2%. The average historical human score (n=26 candidates) was 73.7 %. ChatGPT demonstrated sizable performance improvements over the average human candidate in several subject domains. The median time taken for ChatGPT to complete each station was 2.54 minutes, well before the 10 minutes allowed. ChatGPT generated factually accurate and contextually relevant structured discussion answers to complex and evolving clinical questions based on unfamiliar settings within a very short period. ChatGPT outperformed human candidates in several knowledge areas. Not all examiners were able to discern between human and ChatGPT responses. Our data highlight the emergent ability of natural language processing models to demonstrate fluid reasoning in unfamiliar environments and successfully compete with human candidates that have undergone extensive specialist training. [ABSTRACT FROM AUTHOR]

Means of providing health education are rapidly evolving. Telemedicine has become an important modality to provide healthcare and improve access, and will likely be increasingly utilized beyond the COVID-19 pandemic. Telemedicine can effectively provide care and counseling to all age groups, including adolescents. Studies have demonstrated that over 80 percent of adolescents between the ages of 11 and 18 spend one to four hours a day online; searches for health-related information are common. Nevertheless, adolescents may face obstacles when previously familiar aspects of their medical care are abruptly moved online, particularly when discussing contraception. Although traditionally administered in the clinical space, injectable contraception has been shown to be effective and well-tolerated by adolescents when subcutaneously self-administered. We found that remotely teaching a patient how to self administer a subcutaneous injection is challenging. The provider may be in a home office, and may not have access to the actual medication or the supplies to demonstrate technique. The patient may struggle to understand verbal instruction without a visual demonstration, resulting in ineffective medication administration. Instructional videos currently available online are not specific to adolescents who use self-administered injectable contraception. Peer education is more relatable and effective for adolescent patients. We propose that self-administration of subcutaneous injectable contraception may be taught using a peer-to-peer video as an adjunct to consultation with the healthcare professional. Adolescents may be instructed to watch the video demonstration to help inform them about proper technique and ensure safe administration of their medication while at home. The next step is validation of this teaching tool to assess metrics such as clarity of the instructions, rate of error, and satisfaction with the video teaching method to our target population. The final goal is creation of a validated peer-to-peer teaching tool. This video provides peer-to-peer instruction targeted specifically to adolescents who plan to self-inject subcutaneous depot medroxyprogesterone. Our objective is to provide a population-specific educational approach via telemedicine to those who are unable to receive in-person teaching. [ABSTRACT FROM AUTHOR]

Background: A combination of budesonide and surfactant decreases the rates of BPD in infants and lung injury in preterm sheep. Whether this combination will show benefit in the setting of chorioamnionitis and antenatal steroids is not known., Methods: Ewes at 123 ± 1 day gestational age received intra-amniotic (IA) injections of 10 mg LPS before being randomized to receive either 0.25 mg/kg maternal betamethasone phosphate and acetate or saline by intramuscular (IM) injection at 48 and 24 h prior to delivery at 125 ± 1 day. Lambs (N = 6-9/group) underwent intentionally injurious ventilation for 15 min, then lambs received surfactant mixed with either: (1) saline; or (2) Budesonide 0.25 mg/kg and were ventilated for 4 h., Results: Compared with LPS-exposed animals that received no IM steroid treatment, betamethasone exposed fetuses had improved hemodynamic stability, lung compliance, and ventilation efficiency. The addition of budesonide to surfactant further improved markers of injury and pro-inflammatory cytokine mRNA in both betamethasone IM or no IM lambs exposed to LPS IA. Antenatal betamethasone and IA LPS exposures decreased budesonide levels in the fetal lung and plasma., Conclusion: Antenatal betamethasone stabilizes physiologic parameters in LPS treated lambs. Budesonide mixed with surfactant further decreases injury and improves respiratory physiology in betamethasone treated animals., Impact: Antenatal betamethasone improved lung and systemic physiology in the setting of intra-amniotic LPS. The addition of budesonide to the surfactant further improved lung function. Budesonide levels in the plasma and lung were lower in lambs exposed to either LPS or LPS and Betamethasone animals, and these findings were not explained by increased esterification in the lungs. The combination of antenatal steroids and budesonide with surfactant had the lowest markers of pro-inflammatory cytokines in the lung of LPS exposed animals., (© 2024. The Author(s), under exclusive licence to the International Pediatric Research Foundation, Inc.)