Dubrock, H M

Abstract Rationale Portopulmonary hypertension (POPH) and hepatopulmonary syndrome (HPS) are two distinct pulmonary vascular complications of liver disease. POPH is characterized by pulmonary hypertension and elevated pulmonary vascular resistance while HPS is characterized by intrapulmonary vasodilation and hypoxemia. POPH and HPS reflect opposing pulmonary vascular responses with markedly different therapeutic and transplant implications. Accurate distinction on imaging may aid clinical decision-making and risk stratification. We aimed to quantitatively characterize and compare chest CT imaging features of POPH and HPS compared to controls with isolated portal hypertension (PoH). Methods Three cohorts of HPS, POPH, and PoH were included (n = 5 per cohort). POPH patients with intrapulmonary vasodilation on contrast echocardiography were excluded. Contrast-enhanced chest CTs with slice thickness ≤ 1.5mm obtained closest to the time of diagnosis were selected (mean 2.7 years following diagnosis). CT images were analyzed using a deep learning algorithm developed in-house that segmented and computed volumes of central, interlobar, peripheral, upper peripheral, and lower peripheral pulmonary arteries (PAs); total, upper, and lower pulmonary veins (PVs); and the four cardiac chambers. Resulting volumes were indexed by body-surface area. One-way analysis of variance (ANOVA) was performed with a post-hoc pairwise Mann-Whitney U test for comparison. Results Patients with HPS were 80% male, had a mean age of 48.6±17.4, and mean MELD-Na of 15.4±3.4. The POPH cohort was 20% male, had a mean age of 56.8±11.9, and mean MELD-Na of 13.4±4.0. The PoH cohort was 100% male, had a mean age of 62.8±4.8, and mean MELD-Na of 12.8±8.8. HPS patients had smaller central PA volumes (mean 26.4±1.8 mm2/m2) compared to both PoH (mean 38.6±9.8 mm2/m2, p = 0.03) and POPH patients (44.8±10.8 mm2/m2, p = 0.008). HPS patients, however, had larger lower peripheral PA (mean 30.7±1.9 mm2/m2) and PV (mean 28.3±6.7 mm2/m2) volumes compared to PoH (PAs mean 20.1±4.8 mm2/m2, p = 0.008; PVs mean 18.2±2.8 mm2/m2, p = 0.02) and larger lower peripheral PA volumes compared to POPH patients (PAs mean 22.1±5.1 mm2/m2, p = 0.03). There was no significant difference in volumes between POPH and PoH for all segments. Conclusion Compared to PoH and POPH, HPS is associated with lower central PA volume and higher peripheral PA volume in the lower lungs. Volumes were similar between POPH and PoH; however, this may reflect limited statistical power given the small sample size. Larger studies are needed to further delineate imaging distinctions between POPH, HPS, and PoH. This abstract is funded by: NHLBI

Abstract Rationale The pathophysiology and clinical impact of liver injury in pulmonary hypertension (PH) is poorly understood. Liver injury in PH is often attributed to hepatic congestion, but some studies have failed to find strong associations with hemodynamics, suggesting alternative mechanisms. We sought to define the prevalence of liver injury and patterns of liver injury across the spectrum of PH and to determine whether patterns of liver injury were associated with clinical characteristics, hemodynamics and outcomes. Methods We performed an analysis of the PVDOMICS study, a multicenter, prospective, longitudinal cohort study that enrolled incident and prevalent patients with PH and disease comparators. The prevalence of liver injury, defined as aspartate or alanine aminotransferase (AST or ALT) or total bilirubin above the upper limit of normal, and different patterns of liver injury [hepatocellular (elevated AST or ALT with normal bilirubin), cholestatic (elevated bilirubin) and no liver injury] was defined among participants with known or suspected PH. Associations between patterns of liver injury with demographics, hemodynamics, right ventricular function, exercise capacity and quality of life (QoL) were assessed. We used Cox proportional hazards models adjusted for age and sex to assess the association of liver injury patterns with transplant-free survival. Results Liver injury was present in 27.8% (288/1036) of participants (19.0% cholestatic and 8.8% hepatocellular). Patients with liver injury were less likely to be female and have prevalent disease with differences in PH classification (Table 1). Patients with hepatocellular liver injury had a higher body mass index. A cholestatic liver injury pattern was most consistently associated with worse functional class, biventricular filling pressures, pulmonary vascular resistance, right ventricular function, natriuretic peptide elevation, exercise capacity, and REVEAL risk scores. Total bilirubin levels and right atrial pressure as a marker of systemic congestion were weakly correlated (r2=0.02, p < 0.0001). Compared to no liver injury, cholestatic liver injury was associated with an increased risk of death in age and sex adjusted models (HR 1.6, 95% CI 1.3-2.1, p < 0.001) but hepatocellular liver injury was not (p > 0.05). Conclusions Liver injury is common among patients with known or suspected PH. In contrast to a hepatocellular injury pattern, a cholestatic liver injury pattern was most consistently associated with worse hemodynamics, exercise capacity, QoL and survival. However, the weak relationship between right atrial pressure and bilirubin suggests that systemic congestion alone is unlikely to completely explain cholestatic liver injury. Further study is needed to uncouple the pathophysiological basis of cholestasis in PH. This abstract is funded by: NHLBI

Abstract Rationale Sotatercept is a novel activin signaling inhibitor approved for the treatment of pulmonary arterial hypertension (PAH). Sotatercept has been studied in randomized clinical trials, but little is known regarding the real-world use of sotatercept. We sought to describe the safety, tolerability and efficacy of sotatercept in our clinical practice. Methods We performed a combined prospective and retrospective cohort study of all patients treated with sotatercept at Mayo Clinic Rochester since its approval in March 2024. Patients enrolled in a separate clinical trial of sotatercept were excluded from this analysis as their data will be reported separately. Clinical data was abstracted from the electronic health record. Follow-up data was collected at 6 ± 3 months after initiation of sotatercept. Data is summarized as n (%) and mean ± SD. We used paired t-tests to compare baseline and follow-up characteristics within individuals. Results Fifty-eight PAH patients treated with sotatercept were included. Patients were 48.4 ± 37.6 years old at treatment initiation and were predominantly female with a mean duration of PAH of 6.7 years and a range of PAH etiologies including portopulmonary hypertension, congenital heart disease, and pulmonary veno-occlusive disease (Table 1). Twenty-one (36%) of patients had mixed etiologies of PH. Six months after initiation of sotatercept, patients had a significant improvement in NTproBNP (1922 ± 4464 to 363 ± 596 pg/ml, p = 0.04), 6 minute walk distance (378.8 ±144.6 to 395.7±129.5 meters, p = 0.02) and right ventricular systolic pressure (74.6 ± 20.5 to 60.6 ± 20.3 mm Hg, p < 0.001). No patients permanently discontinued due to abnormal laboratory values. Mean highest hemoglobin achieved over the initial 6 months of treatment was 15.5 ± 2.1 g/dL and mean lowest platelet count was 181 ± 74K. Seven patients discontinued sotatercept at a range of 170-275 days after starting. Four patients discontinued due to possible treatment-related adverse effects: 1 each of gastrointestinal hemorrhage, retinal hemorrhage, hypoxia/intrapulmonary vasodilatation and spontaneous bilateral subdural hematomas. Three patients discontinued due to other reasons: newly diagnosed metastatic cancer leading to transition to hospice and two due to lack of improvement. Conclusions In this real-world registry of sotatercept in PAH, sotatercept was well-tolerated among patients with PAH and associated with improvements in exercise capacity, echocardiographic parameters, and NTproBNP. Overall discontinuation due to possible treatment-related adverse effects was low and reasons for discontinuation included bleeding and hypoxia attributed to intrapulmonary vasodilatation. This abstract is funded by: None

Abstract Introduction Sotatercept was FDA-approved for Group 1 pulmonary arterial hypertension (PAH) in spring 2024, but patients with portopulmonary hypertension (POPH) were not included in major clinical trials that led to its approval. Therefore, safety and efficacy of sotatercept is not well-understood among patients with POPH. We present a case of severe POPH treated with sotatercept. Case Report A 61 year-old female presented to pulmonary hypertension (PH) clinic for follow-up of POPH. History notable for cirrhosis in setting of Hepatis C virus and portosystemic shunts status post embolization. She was on triple PAH therapy with sildenafil, macitentan, and IV epoprostenol. She had functional class 2 dyspnea on exertion, and transthoracic echocardiogram (TTE) demonstrated mild-moderate RV enlargement and mild dysfunction, with estimated right ventricular systolic pressure (RVSP) 76 mmHg. Right heart catheterization (RHC) revealed mean pulmonary arterial pressure (MPAP) 46 mmHg, pulmonary vascular resistance (PVR) 7.9 wood units (WU), cardiac output (CO) 4.9 L/minute, and low biventricular filling pressures. She was started on sotatercept, with goal of improving hemodynamics, RV function, and ultimately qualifying for POPH Model for End-Stage Liver Disease (MELD) exception. She returned for assessment several months later and reported progressive dyspnea with decreasing oxygen saturations. Arterial blood gas (ABG) revealed decreased PaO2 (56 mmHg, compared with 64 mmHg approximately 3 months prior before sotatercept initiation). She was noted to have cutaneous telangiectasias on face, chest, upper extremities, and back (Figure 1). TTE showed decreased RV size and improved function and RVSP (62 mmHg) but large intrapulmonary shunt per agitated saline (“bubble”) study. RHC demonstrated improvement in hemodynamics but remained inadequate to meet POPH MELD exception criteria (MPAP 36 mmHg, PVR 4.6 WU). Sotatercept was discontinued. Follow-up ABG demonstrated increase in PaO2 (63 mmHg), similar to prior baseline, and TTE approximately 6 weeks after stopping sotatercept demonstrated notable decrease in intrapulmonary shunting, now described as small. Telangiectasias improved as well. Discussion The use of sotatercept in patient with POPH and/or liver disease remains an exciting area of investigation, and additional clinical studies are warranted. Potential sequelae such as increased intrapulmonary shunting may particularly affect this patient population, given their unique and complex multiorgan pathology. In current clinical practice, close monitoring is essential when using sotatercept among patients with POPH. This abstract is funded by: n/a

Abstract Rationale Pulmonary hypertension (PH) is classified into five groups. Diagnosis requires multiple tests delaying treatment. This study compared patient and diagnostic characteristics for pulmonary arterial hypertension (PAH; Group 1 PH), Group 2-5 PH, and non-PH using machine-learning in an Electronic Health Record (EHR) dataset. This is novel as prior studies use claims data which may lack hemodynamic parameters. Methods This study analyzed adult patient records from a HIPPA-complaint EHR dataset from Mayo Clinic (2015-2024). Cohort definitions: PAH: right heart catheterization (RHC) data [mPAP>20 mmHg, PVR>2 WU, PCWP≤15 mmHg]; ≥2 PAH ICD diagnosis codes or positive natural language processing (NLP) sentiments separated by ≥ 30 days; and use of at least one PAH medication within six months after index date. Group 2-5 PH: RHC (mPAP>20mmHg) and ICD codes or positive NLP sentiment separated by ≥ 30 days for corresponding PH subtype. Non-PH: mPAP ≤ 20 mmHg and/or TRV ≤ 2.8 m/s. Index was the earliest NLP or ICD for PAH, earliest RHC for group 2-5 PH and most recent TRV/ mPAP for the non-PH cohort. Clinical variables were analyzed one-year before study index acknowledging data missingness as a limitation of retrospective dataset studies. Results 593 PAH, 817 Group 2-5 PH (67% with group 2 PH), and 11,600 non-PH patients (1:10 propensity-matched) were identified. Age, race, and symptoms were similar across cohorts. PAH had the highest proportion of females (60%) [Group 2-5 PH (50%) and non-PH cohort (53%)]. Clinical characteristic comparison is presented in Table 1. Comorbidities differed across cohorts. RHC: As expected, compared to Group 2-5, the PAH cohort had higher mPAP and PVR and lower PCWP. confirming a distinctly pre-capillary profile. ECHO: Compared to Group 2-5 PH, the PAH cohort had more pronounced right ventricular (RV) pressure overload and dysfunction and more impaired RV longitudinal strain, while TAPSE was similar. At the same time, left heart structure was less affected in PAH compared to Group 2-5. Among laboratory tests, serum creatinine was higher in Group 2-5 and ANA was higher in PAH cohort. Compared to the no-PH cohort, PAH and Group 2-5 cohorts exhibited clinically non-normal RHC and ECHO findings. Conclusion Although symptoms and demographic characteristics were similar among patients with and without PAH, unique RHC, ECHO, laboratory profiles and comorbidities differentiated PAH patients. Screening techniques using these distinct profiles could be considered to facilitate earlier diagnosis and treatment of PAH in clinical settings. This abstract is funded by: Merck & Co., Inc., Rahway, NJ, USA

Abstract Rationale Pulmonary arterial hypertension (PAH) is a rare and progressive disease, where the guideline-recommended diagnostic confirmation is via right heart catheterization (RHC). However, due to non-specific symptomology, patients often experience delays in diagnosis that potentially impact disease outcomes. We sought to develop a machine learning (ML) based approach for early and appropriate detection of PAH. Methods Three cohorts were derived from Mayo Clinic electronic health record (EHR): confirmed PAH (N = 1,169), No PH (N = 11,600) and Other PH (Group 2-5 PH, N = 817), based on 2022 ESC/ERS guidelines. The study index was defined as the earliest diagnosis dates for PH cohorts (PAH & Other PH) or the latest PH negative echocardiogram (ECHO) or RHC for the No-PH cohort. Patients included in the study had at least one symptom (dyspnea, fatigue, syncope, chest pain, or lower extremity swelling) within one year prior to the study index. A two-step sequential ML modelling strategy was applied: Step 1 differentiated PH (PAH + Other PH) from No PH and step 2 differentiated PAH from Other PH. Models were trained using a combination of structured data, unstructured clinical notes to detect symptoms using natural language processing and ECG waveforms captured one year prior to study index. Models were tested both with and without ECHO parameters. SHAP (SHapley Additive explanations) values were used to determine important features contributing to models (without ECG waveforms). Results Models including ECHO parameters performed better compared to those without (Figure 1). The top feature impacting model without ECHO parameters was dyspnea in the preceding three months followed by heart failure and systolic blood pressure for the PH vs no PH; and T wave peak in V1 and ANA level in PAH vs other PH cohort. The top feature impacting model with ECHO was tricuspid regurgitation velocity followed by heart failure and right atrial pressure for the PH vs no PH; and mean blood pressure and left ventricular diameter in the PAH vs other PH cohort. Figure 1: Model performance in the two-step sequential approach PR-AUC=Precision Recall-Area Under Curve Conclusion This study demonstrates that ML models can aid in the identification of PAH in symptomatic patient populations. While ECG can identify patients for further testing, ECHO can further increase the accuracy and the need to refer patients to RHC for confirming diagnosis of PAH. This abstract is funded by: Merck & Co., Inc., Rahway, NJ, USA