O'Sullivan, S

Abstract Rationale Transthoracic echocardiography (TTE) is a very useful measure of cardiac function in patients with pulmonary hypertension (PH), along with right heart catheterization, which is considered to be the gold standard of measurement. It is non-invasive, quick and a good screening tool to assess the function of a failing right ventricle against elevated pulmonary pressures. Portopulmonary hypertension (POPH) is defined as PH associated with portal hypertension. The Tricuspid Annular Plane Systolic Excursion to Systolic Pulmonary Artery Pressure (TAPSE/SPAP) ratio has been found to be an effective prognosticator in different subtypes of PH. This study focuses on the role of TAPSE/SPAP ratio in prognosis of patients with POPH undergoing liver transplantation. Methods This was a single-center retrospective study of POPH patients undergoing liver transplantation at Mayo Clinic Florida from June 2003 to December 2023. It included patients with POPH with a mean pulmonary pressure >20 mm Hg undergoing liver transplantation. Patients with incomplete TTE data, coexisting renal failure on dialysis and requiring liver retransplant were excluded. This study included 27 patients. The last TTE report before liver transplantation was used for data analysis. The TAPSE/SPAP ratio was investigated as predictor of all-cause mortality following liver transplant using Cox regression and area under ROC curve. (Brackets contain 95% C.I.) Time to death after liver transplantation was considered. Patients were followed till August 1, 2024. (The correlation of this ratio-TAPSE/SPAP with some catheterization measured pulmonary pressures and indices have been included in Table 1.) Results Among 27 patients, 13 were female, 14 male. The most common causes of liver failure in these patients were non alcoholic fatty liver disease (NASH) and alcoholic liver disease. Rarely, some etiologies like sarcoidosis, autoimmune hepatitis, primary sclerosing cholangitis and hepatitis B/C were present. There were 7 deaths among total of 27 patients. The hazard ratio (HR) of TAPSE/SPAP for overall mortality by Cox regression was 0.01 (0.00-0.58), p = 0.03. The area under ROC curve was 0.76 (0.55-0.96), p = 0.01 [Also for TAPSE alone, the area under ROC curve was 0.74 (0.51-0.97), p = 0.05] Conclusion This study infers that TAPSE/SPAP ratio seems to be a good predictor of survival in POPH patients undergoing liver transplant, with a higher ratio associated with decreased all-cause mortality. It suggests that TAPSE alone might also be a good predictor with higher TAPSE associated with decreased mortality. This abstract is funded by: None

Abstract Background Pregnancy related cardiomyopathy is a significant cause of maternal morbidity and mortality globally. A presumed overlap between normal pregnancy-associated symptoms and clinical symptoms of cardiomyopathy contributes to delays in diagnosis and increased risk of maternal mortality. Purpose We sought to evaluate the association between patient-reported cardiovascular symptoms and the presence of cardiomyopathy among pregnant and postpartum patients. We hypothesize that individual cardiovascular symptoms are unrelated to the presence of cardiomyopathy. We also evaluated the use of a novel adaptation of a validated health status questionnaire in relation to cardiomyopathy. Methods We enrolled 48 pregnant (>13 weeks) and postpartum (up to 12 months) participants in a prospective study between October 2021 and February 2022. All study participants completed a baseline questionnaire, which included current cardiovascular symptoms, an assessment of health status using an adapted version of the Kansas City Cardiomyopathy Questionnaire (KCCQ-12), followed by a resting transthoracic echocardiogram on the same day. We defined cardiomyopathy as a left ventricular ejection fraction (LVEF) <50% based on 2-D echocardiography. Fisher's exact and Wilcoxon rank-sum tests were employed to evaluate the association between reported cardiovascular symptoms, the adapted KCCQ-12 (KCC-A) score, and cardiomyopathy. Results At the time of enrollment, 67% were pregnant and 33% postpartum. Forty-eight percent identified as White, 31% as Black, 10% as Asian, and 10% as other race. The median age was 31 years (Q1: 28, Q3: 35) and 6% had an LVEF <50%. We found no statistically significant association between four reported cardiovascular symptoms (shortness of breath, orthopnea, fast breathing, and episodes of “asthma” that did not improve with inhalers or other treatment) and cardiomyopathy or medial E/e' ratio. KCC-A scores were low in the study population overall (median 52; Q1:40, Q3: 61). We demonstrated a significantly lower KCC-A score among women with LVEF <50% (median 24; Q1: 15, Q3: 44) compared to women with LVEF ≥50% (median 54; Q1: 44, Q3: 61) p=0.02. Conclusions We showed no significant association between individual cardiovascular symptoms and cardiomyopathy in an obstetric population. However, we demonstrate for the first time that an adapted KCCQ-12 questionnaire for health status assessment could potentially identify women with a high-likelihood of cardiomyopathy during the peripartum period who may benefit from additional evaluation including echocardiography. Larger studies are needed to validate this finding. Funding Acknowledgement Type of funding sources: Foundation. Main funding source(s): This study was funded by a research grant from the Miami Heart Research Institute, Florida Heart Foundation. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health

Abstract Background Atrial fibrillation (AF) is diagnosed in up to 50% of patients with heart failure. However, the prevalence of AF among patients with peripartum cardiomyopathy (PPCM) ranges from only 2–10%, with the lowest rates in Black women. An artificial intelligence enhanced electrocardiogram (AI-ECG) has previously been shown to be effective in detecting AF while in sinus rhythm, and for AF risk prediction in a population-based study. Purpose Our objective was to evaluate the use of an AI-ECG for AF risk stratification among women of reproductive age (18 to 49 years) with PPCM compared to other forms of cardiomyopathy. Methods We identified 59 reproductive age women with a diagnosis of PPCM between January 2007, and October 2018 and included matched controls in a 3:1 fashion. Matching was performed based on sex, age, race, and left ventricular ejection fraction. We excluded patients with a diagnosis of AF prior to cardiomyopathy diagnosis date. AI-ECG prediction probabilities were generated for ECGs performed within a 30-day window prior to the patient's first cardiomyopathy diagnosis date for the entire study cohort. Results A total of 236 patients were included in the final analysis (59 cases, 177 controls). Overall, the median age at cardiomyopathy diagnosis was 31.7 years (IQR: 18.5, 49.4), 76.3% were White, 8.5% were Black, and 15.3% represented other or unknown race. Over the period studied, 3.4% of women with PPCM developed AF compared to 5.6% of women with other cardiomyopathies. The frequency of positive AI-ECG predictions for AF was more common among women with other cardiomyopathies (40.7%) compared to women with PPCM (20.3%). The predicted odds ratio for AF development following a cardiomyopathy diagnosis based on AI-ECG results was 0.37 (95% CI: 0.18, 0.73) for PPCM compared to other cardiomyopathies (p=0.006). Conclusion We demonstrated that an AI-ECG model for AF prediction may play a potential role in arrhythmia risk stratification/prediction among young women with PPCM who have a demonstrable lower risk for AF compared to women with other cardiomyopathies. Mechanisms for lower AF risk among patients with PPCM remain unknown. Further studies evaluating mechanistic pathways will be essential. Funding Acknowledgement Type of funding sources: None.