Abstract Background Prior studies have linked decreased left atrial (LA) and left ventricular (LV) function to the failure of both catheter ablation and surgery for atrial fibrillation (AF). Yet, the effects of right atrial (RA) and right ventricular (RV) function on the failure of interventional therapy remain unexplored. This study evaluates four-chamber strain parameters using conventional echocardiography and speckle-tracking analysis to evaluate the contributions of preoperative left heart and right heart function to the failure of surgery for atrial fibrillation. Methods We retrospectively analyzed 821 patients who had surgical AF ablation, using pre- and postoperative data from electronic records to assess AF recurrence and thromboembolic events. Of these, 531 had LA ablation only and 290 had bi-atrial Maze-IV procedures. Four-chamber strain was evaluated via speckle-tracking on preoperative echos with TomTec Arena, excluding low-quality images. Univariate and multivariate logistic regression analyses were conducted to assess the influence of AF duration, LV ejection fraction, age, and gender on post-PAF surgery AF recurrence, thromboembolic events with results shown as odds ratios (ORs) in the table. An OR over 1.00 indicates a higher recurrence risk per variable increment. SAS software was used for all statistical analysis. Results In our cohort with a median age of 67.4±11.0 (46.2% female), unadjusted analyses revealed that increased LA and RA volumes and decreased RV free wall strain were significantly associated with AF recurrence post-surgical ablation. Conversely, each unit decrease in LA and RA peak reservoir strain corresponded to a 6% increase in the risk of AF recurrence, indicating an inverse relationship. Adjusted analyses for LA and RA end diastolic volumes and strain values showed a similar direction of association with AF recurrence, though these were not statistically significant. Similarly, lower LA and RA peak strains and larger atrial volumes were suggestive of an increased risk for postoperative thromboembolic stroke, but did not reach statistical significance, potentially due to the low event rate (1.8% of the cohort). Conclusion Conventional echocardiography offers a practical tool for identifying patients at high risk for AF recurrence and potential thromboembolic events after AF ablation surgery. Our study confirms that reduced preoperative LA, RA and RV strain values and enlarged volumes of LA and RA are strongly associated with AF recurrence following surgical ablation. Additionally, RA strain and volume are as predictive as LA metrics, underscoring their importance in risk stratification. These echocardiographic parameters may also hold value in forecasting the likelihood of postoperative stroke.

BACKGROUND:Fetal alcohol spectrum disorder (FASD) is one of the leading causes of neurodevelopmental disorder for which there is a pressing need for an effective treatment. Recent studies have investigated the essential nutrient choline as a postnatal treatment option. Supplementation with choline has produced improvements in behavioral tasks related to learning and memory and reverted changes in methylation signature following third-trimester equivalent ethanol exposure. We examined whether there are related improvements in hippocampal synaptic plasticity in vivo. METHODS:Sprague-Dawley offspring were administered binge-levels of ethanol from postnatal day (PND) 4 to 9, then treated with choline chloride (100 mg/kg/day) from PND 10 to 30. In vivo electrophysiology was performed on male and female offspring from PND 55 to 70. Long-term potentiation (LTP) was induced in the medial perforant pathway of the dentate gyrus using a theta-burst stimulation (TBS) protocol, and field-evoked postsynaptic potentials (EPSPs) were evoked for 60 min following the conditioning stimulus. RESULTS:Developmental ethanol exposure caused long-lasting deficits in LTP of the slope of the evoked responses and in the amplitude of the population spike potentiation. Neither deficit was rescued by postnatal choline supplementation. CONCLUSIONS:In contrast to our prior findings that choline can improve hippocampal plasticity (Nutrients, 2022, 14, 2004), here we found that deficits in hippocampal synaptic plasticity due to developmental ethanol exposure persisted into adulthood despite adolescent choline supplementation. Future research should examine more subtle changes in synaptic plasticity to identify synaptic changes that mirror behavioral improvements.

ABSTRACT In the United States, nicotine and cannabis are the most common licit and illicit drugs used among pregnant women. Importantly, nicotine and cannabis are now being combined for consumption via e-cigarettes, an increasingly popular route of administration. Both nicotine and tetrahydrocannabinol (THC), the primary psychoactive component of cannabis, cross the placenta barrier. However, the consequences of prenatal cannabis use are not well understood, and less is known about potential combination effects when consumed with nicotine, especially via e-cigarettes. The present study used a rodent model to examine how prenatal e-cigarette exposure to nicotine, THC, and the combination impacts motor development among offspring. Pregnant Sprague-Dawley rats were exposed to nicotine (36 mg/mL), THC (100 mg/mL), the combination, or vehicle via e-cigarette inhalation from gestational days (GD) 5-20. One sex pair per litter was tested on an early sensorimotor development task (postnatal days [PD] 12-20) and a parallel bar motor coordination task (PD 30-32). Combined prenatal exposure to nicotine and THC delayed sensorimotor development, even though neither drug produced impairments on their own. In contrast, prenatal exposure to either nicotine or THC impaired motor coordination, whereas combined exposure exacerbated these effects, particularly among females. These data illustrate that prenatal exposure to either nicotine or THC may alter motor development, and that the combination may produce more severe effects. These findings have important implications for pregnant women as we better understand the teratogenic effects of these drugs consumed via e-cigarettes.

ABSTRACTNicotine and cannabis are two of the most commonly consumed licit and illicit drugs during pregnancy, often consumed together via e-cigarettes. Vaping is assumed to be a safer alternative than traditional routes of consumption, yet the potential consequences of prenatal e-cigarette exposure are largely unknown, particularly when these two drugs are co-consumed. In a novel co-exposure model, pregnant Sprague-Dawley rats received nicotine (36 mg/mL), THC (100 mg/mL), the combination, or the vehicle via e-cigarettes daily from gestational days 5-20, mimicking the first and second human trimesters. Maternal blood samples were collected throughout pregnancy to measure drug and metabolite levels, and core body temperatures before and after exposure were also measured. Pregnant dams exposed to combined nicotine and THC had lower plasma nicotine and cotinine levels than those exposed to nicotine alone; similarly, the combined exposure group also had lower plasma THC and THC metabolite (THC-OH and THC-COOH) levels than those exposed to THC alone. Prenatal nicotine exposure gradually decreased basal core body temperatures each day, with chronic exposure, whereas exposure to THC alone decreased temperatures during the individual sessions. Despite these physiological effects, no changes were observed in food or water intake, weight gain, or basic litter outcomes. These data suggest that combined exposure to nicotine and THC elicits both separate and interactive physiological effects of nicotine and THC on pregnant dams. These data and use of this model can help improve education for pregnant mothers about prenatal e-cigarette use and has important implications for public policy.HIGHLIGHTSRepeated prenatal nicotine exposure via e-cigarettes gradually decreased temperaturesPrenatal THC exposure via e-cigarettes decreased temperatures during intoxicationCombined prenatal exposure via e-cigarettes altered plasma drug and metabolite levelsThis co-exposure model elicits separate and interactive effects of nicotine and THC

Abstract Funding Acknowledgements Bay Labs, Inc; San Francisco, CA Background/Introduction: When used by experienced examiners, the utility of point-of-care (POC) ultrasound for assessing cardiac anatomy and function has been well established. However, in some clinical circumstances (Primary Care offices, Intensive Care Unit, some Emergency Rooms, or in remote settings) in which a rapid assessment of cardiac anatomy and dynamics can facilitate patient care, an examiner experienced at POC scanning may not be immediately available. Purpose To help novice users acquire clinically useful standard cardiac views using novel machine learning (ML) software. Methods We used an investigational device that employs ML software to provide real-time adaptive guidance of transducer position and orientation to help novice users acquire tomographic views of the heart. We tested the utility of this approach when 4 nurses with no prior training in sonography performed POC studies on 16 subjects (10 healthy, 6 with cardiac abnormalities; 9 men; body mass index normal in 6, overweight in 6, and obese in 4 subjects). Each nurse underwent didactic training and 4 hours of supervised practice using the ML program. Each nurse scanned each study subject using a scanner equipped with ML software to acquire 10 digital two-dimensional image clips, including: parasternal long axis, short axis at the aortic valve, mitral valve, and mid-left ventricle (LV), apical 2-, 4-, and 5-chamber, subcostal 4-chamber, and longitudinal views of the inferior vena cava (IVC). All video clips (n = 640) were later reviewed independently by 5 level 3-trained cardiologists who were blinded to subject, scanner, and each other"s assessments. The expert readers reviewed each set of 10 clips to determine if the following variables could be assessed qualitatively: LV size and function; right ventricular (RV) size and function; aortic, mitral and tricuspid valves; pericardial effusion; left atrial size; IVC size. Results The majority of expert readers concurred, independently, that the sets of images acquired by nurses using ML guidance allowed qualitative assessment of LV size and function in 98%, pericardial effusion in 98%, RV size and function in 92%, and aortic and mitral valve anatomy and dynamics in 94-97% of cases. Qualitative assessment of LA size was feasible in 95%. Images of the IVC were judged as adequate for assessment in 58%. Conclusion This preliminary study suggests the potential value of novel ML software by demonstrating that nurses with limited training can acquire tomographic images useful for qualitative assessment of the cardiac chambers and valves in more than 90% of the subjects examined. This approach might be useful when timely POC cardiac assessment is indicated in settings where an experienced examiner is not available. Further refinements in the guiding software are needed to improve the success rate of IVC imaging, since IVC size can be a useful indicator of volume status.

Abstract Background A novel, recently FDA-authorized software uses deep learning (DL) to provide prescriptive transthoracic echocardiography (TTE) guidance, allowing novices to acquire standard TTE views. The DL model was trained by >5,000,000 observations of the impact of probe motion on image orientation/quality. This study evaluated whether novice-acquired TTE images guided by this software were of diagnostic quality in patients with and without implanted electrophysiological (EP) devices, focusing on RV size and function, which were thought to be sensitive to EP devices. Some aspects of the study have previously been presented. Methods 240 patients (61±16 years old, 58% male, 33% BMI >30 kg/m2, 91% with cardiac pathology) were recruited. 8 nurses without echo experience each acquired 10 view TTEs in 30 patients guided by the software. 235 of the patients were also scanned by a trained sonographer without assistance from the software. 5 Level 3 echocardiographers independently assessed the diagnostic quality of the TTEs acquired by the nurses and sonographers to evaluate the effect of EP devices on DL software performance. Results Nurses using the AI-guided acquisition software acquired TTEs of sufficient quality to make qualitative assessments of right ventricular (RV) size and function in greater than 80% of cases for patients with and without implanted EP devices (Table). There was no significant difference between nurse- and sonographer-acquired scans. Conclusion These results indicate that new DL software can guide novices to obtain TTEs that enable qualitative assessment of RV size even in the presence of implanted EP devices. The results of the comparison to sonographer-acquired exams indicate the software performance is robust to presence of pacemaker/ICD leads visible in the images (Figure). Nurse-acquired TTE with visible ICD lead Funding Acknowledgement Type of funding source: Private company. Main funding source(s): Caption Health, Inc.