Citations

Abstract Background and Aims Decrease in pulmonary vascular resistance (PVR) during exercise confers favourable prognosis in biventricular physiology, but its role in Fontan circulation remains unknown. This study aimed to evaluate the prognostic value of PVR index (PVRI) response to exercise in adults post-Fontan palliation. Methods Retrospective cohort of 88 adults (age ≥18 years) post-Fontan undergoing exercise (supine cycling) cardiac catheterization. Patients were categorized into absence (n = 23) or presence (n = 65) of exercise-induced reduction in PVRI. The clinical endpoint was a composite of death or transplantation. Results Age at catheterization was 32.2 ± 8.8 years, and 45.5% were female. Resting and exercise PVRI were 1.9 ± 0.9 and 1.2 (interquartile range [IQR] 0.8–2.1) WU·m2, respectively. Clinical, biochemical and echocardiographic parameters were not associated with PVRI response to exercise. During a follow-up of 2.2 ± 1.4 (IQR 1.2–2.6) years, resting PVRI was not associated with the clinical endpoint (hazard ratio [HR] 0.95 per WU·m2, 95% confidence interval [CI] 0.52–1.74; P = 0.86), whereas exercise PVRI was (HR 2.15 per WU·m2, 95% CI 1.24–3.73; P = .007). Exercise PVRI remained predictive of outcomes after adjusting for exercise pulmonary artery wedge pressure (HR 2.08 per WU·m2, 95% CI 1.19–3.62; P = .01) or clinical risk factors individually. Two-year event-free survival was lower in the no PVRI reduction than in the reduction group (67% vs 95%; P < .001). Conclusions In adults post-Fontan, PVRI response to exercise is a robust predictor of clinical outcomes and offers additive prognostic information beyond resting invasive haemodynamic data and clinical risk factors, underscoring the importance of invasive exercise testing in this population.

Background Exercise cardiac catheterization is the gold standard for diagnosing diastolic dysfunction and impaired pulmonary reserve in patients with Fontan circulation. The diagnostic value of noninvasive parameters is unclear. Methods Patients who underwent simultaneous exercise hemodynamic evaluation and peripheral venous pressure (PVP) measurement were included. Echocardiographic surrogates for ventricular filling pressure were compared with invasive measures. Diastolic dysfunction was defined invasively as either resting pulmonary artery wedge pressure ≥12 mm Hg or exercise pulmonary artery wedge pressure >20 mm Hg. Results Twenty‐nine patients were included. Age at catheterization was 34±9 years. Atrioventricular valve systole‐to‐diastole duration ratio (S/D) and resting PVP were significant predictors of resting pulmonary artery wedge pressure (S/D: β=0.71 per 0.1 S/D [95% CI, 0.16–1.25]; P =0.01; PVP: β=0.68 per mm Hg [95% CI, 0.41–0.96]; P <0.001). By contrast, resting PVP was a predictor of diastolic dysfunction, whereas S/D was not. Based on these data, we proposed a 2‐tier assessment algorithm with the first tier considering resting PVP ≤15 mm Hg and S/D ≤1.1 and the second tier considering exercise PVP ≤25 mm Hg in those with 1 elevated resting parameter. This algorithm showed a positive predictive value of 88% (95% CI, 47%–100%), a negative predictive value of 90% (95% CI, 70%–99%), a sensitivity of 78% (95% CI, 40%–97%), and a specificity of 95% (95% CI, 75%–100%). Exercise PVP indexed to peak oxygen consumption also predicted invasively measured exercise pulmonary vascular resistance index (β=0.36 WU·m 2 per mm Hg/100 mL per min [95% CI, 0.08–0.64]; P =0.01). Conclusions This study presents a simple, noninvasive approach for evaluating diastolic function and pulmonary vascular reserve in patients with a Fontan circulation.

Background: MELAS is a rare mitochondrial disorder characterized by multisystem involvement, including stroke-like episodes, seizures, and cardiomyopathy. Cardiac involvement in MELAS may include left ventricular dysfunction, arrhythmias, and structural abnormalities, yet the occurrence of cardioembolic stroke as a direct consequence of these manifestations is exceedingly rare. To date, no literature has clearly described this association. Case Presentation: A male in his twenties with known MELAS syndrome, epilepsy, and heart failure with reduced ejection fraction (EF 25%) presented with acute right hemiparesis and aphasia. Investigations: CT angiography and CT perfusion revealed reduced opacification in the left MCA bifurcation and a left M2 thrombus (Figure 1A). The contrast echocardiogram showed a normal-sized left ventricle with severely reduced ejection fraction (25%, down from 30% six months prior), diffuse hypokinesis, grade III diastolic dysfunction, and a left ventricular thrombus, with no patent foramen ovale. Treatment: Given the high suspicion for cardioembolic stroke, the patient received intravenous tenecteplase within the 3-hour window. Mechanical thrombectomy was planned but aborted due to spontaneous recanalization. Post-thrombolytic angiography confirmed reperfusion of the left MCA with residual distal M3 thrombus (Figure 1B).MRI confirmed infarcts in the left MCA distribution and right precentral gyrus, with no evidence of hemorrhagic transformation. Anticoagulation was initiated for secondary prevention. Statins were withheld due to concerns about mitochondrial toxicity. Follow-up: On a 3-month follow-up, the patient remained neurologically stable and continued oral anticoagulation without recurrent events. Discussion: The clinical scenario posed a diagnostic challenge—stroke-like episodes in MELAS are metabolic and typically non-territorial. However, an LV thrombus, territorial infarction, and perfusion mismatch pointed to an ischemic etiology. Timely thrombolysis led to significant neurological recovery. This case highlights the importance of distinguishing cardioembolic stroke from mitochondrial stroke-like events, especially in patients with known cardiac involvement. Conclusion: In MELAS patients with cardiac dysfunction, cardioembolic stroke must be considered when clinical and imaging findings suggest a vascular event. Early recognition and intervention, including thrombolysis, can lead to favorable outcomes.

Background: Heart failure (HF) is the leading cause of mortality in adults with congenital heart disease (CHD) after transcatheter pulmonary valve replacement (TPVR), likely due to preexisting myocardial dysfunction and suboptimal reverse remodeling. Left ventricular (LV) diastolic dysfunction, unmasked by an acute increase in preload post-TPVR, may elevate left-sided filling pressures and precipitate pulmonary edema. However, the prognostic implications of elevated left-sided filling pressures prior to TPVR are currently unknown. Objective: To evaluate the prognostic value of pre-TPVR pulmonary artery wedge pressure (PAWP) and the heart failure with preserved ejection fraction – Age, Body mass index (BMI), Atrial fibrillation (HFpEF-ABA) score in patients undergoing TPVR. Methods: Adults with congenital heart disease (CHD) undergoing TPVR were stratified by pre-implant PAWP (<15 vs ≥15 mmHg) and HFpEF-ABA score (low <25%, intermediate 25–75%, high >75%). The composite endpoint was all-cause mortality, heart transplantation, heart failure (HF) hospitalization, or sustained ventricular arrhythmia. Kaplan-Meier and Cox regression analyses assessed associations with clinical outcomes. Results: Out of 150 patients, 37 (24.7%) had PAWP ≥15 mmHg. Elevated PAWP was associated with older age (36 [31;53] vs. 26 [19; 37] years, p<0.01), BMI (27.9 [24.5; 35.1] vs. 24.2 [20.6; 29.7] kg/m 2 , p<0.01), and higher HFpEF-ABA score (42.8 [9.5;63.6] vs. 6.4 [2.5;18.1]%, p<0.001) compared to normal PAWP. Over a median follow-up of 38 [13; 83] months, 26 events (17.3%) occurred. Kaplan-Meier analysis demonstrated a significant difference in event-free survival based on pre-TPVR PAWP categories (log-rank p=0.002) and HFpEF-ABA score categories (log-rank p<0.001). Elevated PAWP was associated with adverse outcomes (hazard ratio [HR] 4.27, 95% CI 1.61–11.31, p=0.003) (Figure 1), but this was no longer significant after age adjustment. HFpEF-ABA ≥25% was associated with adverse outcomes (HR 10.6, 95% CI 3.8–30.0, p<0.001) (Figure 2), independent of N-terminal prohormone of brain natriuretic peptide levels and left ventricular ejection fraction. Conclusion: Albeit confounded by demographics, pre-TPVR PAWP correlated with adverse long-term outcomes, and patients with this hemodynamic profile may require closer post-procedural surveillance. HFpEF-ABA was independently associated with incident events, representing an inexpensive, novel prognostic tool in patients undergoing TPVR.

Background: Fontan circulation is characterized by the absence of a subpulmonary ventricle with resultant systemic venous hypertension. Despite exercise intolerance being nearly universal in this population, the determinants of exercise capacity in this population are still poorly understood. Research Question: We investigated the prevalence of peripheral impairment and assessed the contribution of peripheral O 2 extraction versus central hemodynamics to peak O 2 consumption (pVO 2 ) post-Fontan palliation. Methods: This single-center retrospective cross-sectional study compared 52 consecutive adults post-Fontan procedure who underwent exercise catheterization to patients with heart failure with preserved ejection fraction (HFpEF) and non-cardiac dyspnea (NCD) at 1:1 ratio. Several previously reported measures for peripheral O 2 extraction were evaluated in the absence of a golden standard. Correlates of pVO 2 were identified by multivariate linear regression analyses using the backward selection method. Results: Patients with Fontan circulation were younger [age 32 (24;36) years] and tended to have a lower body mass index [26 (23; 29) kg/m 2 ] compared to patients with HFpEF [70 (57; 75) years, p<0.001 and 33 (27; 39) kg/m 2 , p<0.001] and NCD [48 (38; 61) years, p<0.001 and 27 (24; 35) kg/m 2 , p=0.08]. Peak heart rate [108 (85;126) vs 108 (95;125) bpm] and indexed stroke volume [46 (39;54) vs 45 (40;53) ml/m 2 ] were similar in the Fontan and HFpEF groups but lower compared to NCD [126 (108;141) bpm, p<0.001 and 51 (45;59) ml/m 2 , p<0.001]. Peak mean pulmonary artery pressures were highest in HFpEF [45 (41;50) mmHg, p<0.001], followed by Fontan and NCD [26 (22;31) vs 23 (19;25) mmHg, p=0.03]. Median peak O 2 extraction post-Fontan was comparable to HFpEF [12 (10;14) vs 11 (10;13) ml/dl, p=0.17] but higher than in NCD [10 (9;12) ml/dl, p<0.001]. It was <14 ml/dl in 73% compared to 94% and 98% of patients with HFpEF and NCD [p<0.001]. O 2 extraction ratio was <70% in 62% compared to 60% in HFpEF and 96% in NCD [p<0.001]. Correlates of pVO 2 post-Fontan were peak O 2 extraction [β 0.5±0.1 per ml/dl; p<0.001], mean pulmonary artery pressures [β -0.2±0.05 per mmHg; p=0.002], heart rate [β 0.03±0.01 per bpm; p=0.01], and systolic arterial blood pressure [β 0.03±0.01 per mmHg; p=0.02]. Conclusion: Impaired O 2 extraction is prevalent amongst adults post-Fontan. Whether exercise can modulate this important determinant of exercise capacity post-Fontan merits further investigation.

Background/Objectives: Menopause, marked by permanent cessation of menstruation, is a universal transition associated with vasomotor, genitourinary, psychological, and metabolic changes. These conditions significantly affect health-related quality of life (HRQoL) and increase the risk of chronic diseases. Despite their impact, timely diagnosis and individualized management are often limited by delayed care, fragmented health systems, and cultural barriers. Methods: This review summarizes current applications of artificial intelligence (AI) in postmenopausal health, focusing on risk prediction, early detection, and personalized treatment. Evidence was compiled from studies using biomarkers, imaging, wearable sensors, electronic health records, natural language processing, and digital health platforms. Results: AI enhances disease prediction and diagnosis, including improved accuracy in breast cancer and osteoporosis screening through imaging analysis, and cardiovascular risk stratification via machine learning models. Wearable devices and natural language processing enable real-time monitoring of underreported symptoms such as hot flushes and mood disorders. Digital technologies further support individualized interventions, including lifestyle modification and optimized medication regimens. By improving access to telemedicine and reducing bias, AI also has the potential to narrow healthcare disparities. Conclusions: AI can transform postmenopausal care from reactive to proactive, offering personalized strategies that improve outcomes and quality of life. However, challenges remain, including algorithmic bias, data privacy, and clinical implementation. Ethical frameworks and interdisciplinary collaboration among clinicians, data scientists, and policymakers are essential for safe and equitable adoption.

Abstract Disclosure: A.A. Khan: Alexion Pharmaceuticals, Inc., Amgen Inc, Amolyt Pharma, Ascendis Pharma. B.L. Clarke: Amolyt Pharma, Ascendis Pharma, EnteraBio, Extend Bio, Takeda. M.R. Rubin: Ascendis Pharma, MBX Biosciences. P.E. Schwarz: Aventis Pharmaceuticals, Genmab, Novo Nordisk. D.M. Shoback: Ascendis Pharma. C. Gagnon: Amgen Inc, Ascendis Pharma, Novo Nordisk, Shire, Takeda. A. Palermo: None. L.G. Abbott: Abbott Laboratories, Ascendis Pharma, Clarus, Shire, Takeda. L. Kohlmeier: Amgen Inc, Ascendis Pharma, Radius Health, Inc. E. Tsourdi: Alexion Pharmaceuticals, Inc., Ascendis Pharma, Kyowa Kirin, Takeda, UCB. F. Cetani: None. R. Jain: Amgen Inc, Ascendis Pharma. C. Zhao: Ascendis Pharma. B. Lai: Ascendis Pharma. M.A. Makara: Ascendis Pharma. J. Ukena: Ascendis Pharma. C.T. Sibley: Ascendis Pharma. A.D. Shu: Ascendis Pharma. L. Rejnmark: Amolyt Pharma, Ascendis Pharma, BridgeBio, Kyowa Kirin, Takeda. Background: Hypoparathyroidism is an endocrine disease caused by insufficient levels of parathyroid hormone (PTH) and is associated with reduced quality of life and a high comorbidity burden. Conventional therapy for hypoparathyroidism (active vitamin D and elemental calcium) aims to alleviate hypocalcemia but does not address insufficient PTH and may increase the risk of renal complications. Palopegteriparatide is a prodrug of PTH(1-34), administered subcutaneously once daily, designed to provide active PTH within the physiological range for 24 hours/day. It is approved by the Food and Drug Administration, European Commission, and Medicines and Healthcare products Regulatory Agency. This analysis evaluated the long-term efficacy and safety of palopegteriparatide in adults with chronic hypoparathyroidism through week 156 of the PaTHway trial. Methods: PaTHway is a phase 3 trial with a 26-week randomized, double-blind, placebo-controlled period followed by an ongoing open-label extension period. Serum biochemistries were assessed at baseline and regular intervals. Renal function was assessed by estimated glomerular filtration rate (eGFR). Safety assessments included 24-hour urine calcium and treatment-emergent adverse events (TEAEs). Results: At week 156, 89% (73/82) of participants remained in the trial; of those, 96% were independent from conventional therapy (no active vitamin D and ≤600 mg/day elemental calcium) and 88% had normal albumin-adjusted serum calcium levels (8.3-10.6 mg/dL) with a mean (SD) of 8.9 (0.6) mg/dL. Mean (SD) serum phosphate (3.4 [0.6] mg/dL) and calcium x phosphate product (30.6 [5.4] mg2/dL2) levels remained within normal ranges through week 156. Mean (SD) eGFR at week 156 was 78.0 (14.5) mL/min/1.73 m2, reflecting a mean (SD) increase of 8.8 (11.9) mL/min/1.73 m2 from baseline (P&lt;0.0001); 59% and 43% of participants had an increase in eGFR of ≥5 mL/min/1.73 m2 and ≥10 mL/min/1.73 m2, respectively. Among participants with baseline eGFR &lt;60 mL/min/1.73 m2 (n=23), the mean (SD) increase in eGFR was 14.0 (8.9) mL/min/1.73 m2 from baseline to week 156. Mean (SD) 24-hour urine calcium levels normalized with palopegteriparatide treatment, remaining below the upper limit of normal (≤250 mg/day) through week 156 (162.1 [117.8] mg/day). TEAEs were mostly grade 1 or 2, with no new safety signals identified. Conclusion: Through year 3 of the PaTHway trial, retention rate was high and palopegteriparatide demonstrated consistent longer-term safety and efficacy, which included the maintenance of serum and urine biochemistries within normal levels and sustained improvement in renal function. Presentation: Saturday, July 12, 2025

Systemic sclerosis-associated pulmonary arterial hypertension (SSc-PAH) is a life-threatening vascular complication of SSc, marked by high morbidity and mortality. Early diagnosis remains a major challenge due to nonspecific symptoms and the limitations of conventional tools such as echocardiography (ECHO), pulmonary function tests (PFTs), and serum biomarkers. This review evaluates the emerging role of artificial intelligence (AI), particularly machine learning (ML) and deep learning (DL), in improving the diagnostic landscape of SSc-PAH. A comprehensive literature search was conducted across PubMed, Scopus, IEEE Xplore, Embase and Google Scholar to identify studies involving AI applications in SSc, pulmonary arterial hypertension (PAH), and their intersection. Evidence indicates that AI models can assist interpretation across modalities, including heart sounds, ECGs, chest X-rays (CXRs), ECHOs, CT pulmonary angiography (CTPA), and omics-based biomarkers. While several models show encouraging diagnostic performance, their accuracy varies by dataset and modality, and most require external validation against right heart catheterization (RHC)-confirmed cohorts. Integrating multimodal data through AI frameworks may enhance early recognition and individualized risk stratification; however, these tools remain exploratory. Future work should emphasize harmonized hemodynamic definitions, transparent validation protocols, and SSc-specific datasets to ensure clinical applicability and reproducibility.

Abstract Objective: The Pancreatic Cancer Detection Consortium (PCDC) performed a blinded EDRN defined phase 2 Biomarker Bakeoff study of eight promising biomarker panels using pancreatic cancer ductal adenocarcinoma (PDAC) case and general population healthy control samples from three institutions. The scientific questions were to determine whether panels could discriminate PDAC cases from controls with Receiver Operating Characteristic Area Under the Curve (AUC) &gt; 0.8, compare panel performance head-to-head via 95% confidence intervals (CI), and determine whether the panel improved upon serum CA19-9 alone. A secondary goal was to perform modeling to discover a new panel consisting of individual biomarkers. Methods: Eligible biomarkers were required to have had a prior EDRN defined phase 2 validation study published and be ready for validation in a sample set from multiple institutions. Three institutions submitted a total of 140 cases and 140 controls frequency matched to cases on age and sex. Four consortium member institutions submitted for validation eight panels consisting of ten plasma, serum and DNA genotyping biomarkers in addition to CA19-9. Locked panel formulas were submitted prior to specimen distribution. The primary metric was AUC with bootstrapped 95% CIs. LASSO penalized regression was used for exploratory panel building. Nested cross validation and internal-external validation were performed, and optimism-corrected performance estimates were computed. Results: The overall sample (N=280) was 51% female, median age of 67 years, and 94% were of non-Hispanic white race and ethnicity. Controls had median BMI 27.3, 56% never smokers, and 12% type II diabetes mellitus (DM2); cases (staged I to IV) had median BMI 26.6, 42% never smokers, and 26% DM2. Overall panel AUC estimates ranged from 89.9 to 96.3 and all were significantly larger than the null hypothesis value of 0.8 (p&lt;0.05). The apparent serum CA19-9 AUC was 91.7 (87.8, 95.6). Two panels were significantly different from serum CA19-9, a panel with FUT2/3 genotype with serum CA19-9 (p=0.002) and a panel containing tissue factor pathway inhibitor (TFPI), tenascin C (TNC), and plasma CA19-9 (p=0.01). In subset analyses by PDAC stage, no panel improved upon the null hypothesis value of 0.8 in stage I (p&gt;0.05), all panels improved upon the null hypothesis value of 0.8 in stage II and III (p&lt;0.05), and only serum CA19-9 did not improve upon the null hypothesis value of 0.8 in stage IV. All biomarkers but two microRNAs were retained in a LASSO model that had optimism corrected AUC=96.4 (95% CI: 94.0, 98.9). Conclusions: All submitted panels performed well overall in this blinded study, with the panel containing FUT2/3 genotype performing the best. Panel discovery improved upon serum CA19-9, though optimism corrected AUC 95% CIs overlap with those of apparent CA19-9 performance. Further work is needed to prioritize promising biomarkers and to improve detection of early stage PDAC. Citation Format: Ann L. Oberg, William R. Bamlet, Grant Izmirlian, Seetharaman Balasenthil, Surinder K. Batra, Masataka Hayashi, Daniel Herman, Michael A. Hollingsworth, Maneesh Jain, Ann M. Killary, Brianna M. Krusen, Suyu Liu, Gopalakrishnan Natarajan, Subrata Sen, Lynette M. Smith, Sudhir Srivastava, Brian M. Wolpin, Kenneth S. Zaret, Michael G. Goggins. Pancreatic Cancer Detection Consortium biomarker bake-off: A consortium Phase 2 blinded biomarker validation and panel discovery study [abstract]. In: Proceedings of the AACR Special Conference in Cancer Research: Advances in Pancreatic Cancer Research—Emerging Science Driving Transformative Solutions; Boston, MA; 2025 Sep 28-Oct 1; Boston, MA. Philadelphia (PA): AACR; Cancer Res 2025;85(18_Suppl_3):Abstract nr B070.