Rihal, Charanjit S.

ABSTRACT Ischemic events after contemporary percutaneous coronary intervention (PCI) are uncommon but carry high morbidity/mortality. Identifying patients at highest risk is critical to guide dual antiplatelet therapy (DAPT) intensity while minimizing bleeding. Current machine learning (ML) model‐developed risk scores do not incorporate pharmacogenetic data. To develop and externally validate ML models that integrate clinical, demographic, and CYP2C19 genetic information to predict 1‐year ischemic outcomes post‐PCI to refine clinical decision making. We analyzed 8317 patients from TAILOR‐PCI trial ( n = 4572) and the Precision PCI registry ( n = 3745). The outcome was a composite of cardiovascular death, myocardial infarction, stroke, and stent thrombosis at 1 year. Boruta feature selection identified 11 predictors. Multiple ML algorithms were trained in TAILOR‐PCI and validated in Precision PCI using cross‐validation and synthetic minority oversampling (SMOTE). Model performance was assessed by area under the receiver operating characteristic curve (AUC), sensitivity, and specificity. The best external performance was achieved with a support vector machine (SVM, polynomial kernel) (AUC 0.667; sensitivity 0.871; specificity 0.282), while XGBoost provided a more balanced profile (AUC 0.619; sensitivity 0.442; specificity 0.688). Variable importance for the SVM polynomial model demonstrated that all 11 included Boruta feature selected predictors had relatively high importance (> 75). ML models trained on large clinical trial and real‐world registry datasets can help identify the small subset of patients at high ischemic risk after PCI. This distinction is of relevance because ischemic events are rare, and most patients may safely de‐escalate DAPT to reduce bleeding risk while maintaining ischemic protection through a multimodal approach to risk stratification. Trial Registration: TAILOR‐PCI URL: https://clinicaltrials.gov/ct2/show/NCT01742117

BACKGROUND: Transcatheter mitral valve-in-valve replacement is an established therapy for intermediate and high-risk patients with degenerated bioprostheses, but restricted transcatheter valve (THV) expansion within rigid surgical frames and elevated gradients have raised durability concerns. This study aimed to evaluate midterm outcomes of mitral valve-in-valve patients according to THV expansion and sizing strategy. METHODS: Patients who underwent mitral valve-in-valve with balloon-expandable valves at Mayo Clinic Rochester between 2014 and 2023 were retrospectively analyzed. THV expansion (inflow, waist, outflow) was measured from procedural fluoroscopy and indexed to nominal size, with zero indicating expansion to nominal dimensions. Median index values were used as subgroup cutoffs to compare the incidence of the primary composite outcome of all-cause mortality, heart failure readmission, and valve reintervention. RESULTS: The analysis included 80 patients with a median follow-up of 2.5 years. A total of 53 (66%) valves were underexpanded across all 3 sizes, with median inflow, waist, and outflow expansion indices of −10.2, −16.2, and −3.2, respectively. Across all indices, THV expansion closer to nominal size was associated with lower rates of the primary outcome ( P <0.05). Greater expansion correlated with a larger mitral valve area and lower transvalvular mean gradient. Oversized THVs were significantly less expanded and had a higher incidence of the primary composite outcome compared with recommended-size THVs ( P =0.02). CONCLUSIONS: THV underexpansion in degenerated mitral bioprostheses is common and associated with elevated gradients and worse midterm outcomes. Further research is warranted to define THV expansion targets and improve outcomes following mitral valve-in-valve intervention.

Background Effective leadership is critical to the success of complex multidisciplinary healthcare organisations. As the organisation emerged from the global pandemic, Mayo Clinic recognised a need to transform its traditional, linear care model into a dynamic, platform-based approach to support its strategy. This required a new leadership model that could support and equip leaders with the skills needed to drive patient-centred healthcare transformation from within. Objective To develop and validate a new leadership competency framework capable of supporting future-ready leadership. Methods A multiphase, evidence-based approach was employed: (1) a visionary interview, goal setting and literature review; (2) focus groups with 23 leaders from across the organisation; (3) iterative competency framework development; and (4) a validation study involving a stratified sample of 129 physician leaders who rated competencies on importance and differentiation, and a qualitative verification by key stakeholders. Results Five core competencies with 23 behaviours were identified. The validation analysis established all behaviours as important for differentiating leadership performance. Stakeholder review confirmed the competencies were actionable and applicable across leadership roles at all levels. Conclusion The Leads Self, Leads Others, Inspires Others, Forward Thinking and Engages Others (abbreviated LLIFE) competency model positions a healthcare organisation to advance leadership excellence in a rapidly evolving healthcare environment that requires comprehensive transformation. It aligns with strategic goals, embeds values-based behaviours and supports continuous development, establishing a model that other healthcare institutions may learn from and adapt.

BACKGROUND: The current study aims to describe outcomes after transcatheter valve replacement in adults with congenital heart disease. METHODS: Retrospective study of adults with congenital heart disease who underwent transcatheter valve replacement and had a 1-year follow-up postintervention at Mayo Clinic (2010–2024). The study period was divided into early (2010–2014), mid (2015–2019), and late (2020–2024) eras. The primary outcome was valve reintervention. The secondary outcomes were all-cause mortality and temporal change in prosthetic valve gradient and clinical indices of disease severity. RESULTS: Overall, 341 patients (age 38±17 years; 175 [51%] men) received 346 prostheses (pulmonary [N=236, 68%], tricuspid [N=75, 22%], aortic [N=22, 8%], and mitral [N=7, 2%]). The prostheses were Sapien (N=181, 52%), Melody (N=142, 41%), and Harmony prostheses (N=23, 7%). The number of transcatheter valve implantations increased from the early era (N=75), mid era (N=109), to the late era (N=162). The 10-year incidence of valve reintervention was 35%, and was similar between Sapien versus Melody prosthesis (41% versus 33%; P =0.11). The 10-year incidence of all-cause mortality was 13%. There was a temporal increase in prosthetic valve Doppler mean gradient (baseline versus 10 years) for pulmonary (12±5 versus 28±11 mmHg; P <0.001), tricuspid (3±1 versus 8±3 mmHg; P <0.001), and aortic prosthesis (13±5 versus 26±12 mmHg; P <0.001). There was a temporal increase in predicted peak oxygen consumption (absolute ∆, 9% [95% CI, 4–13]; P =0.006) and a decrease in NT-proBNP (N-terminal pro-B-type natriuretic peptide) level (absolute ∆, −138 pg/mL [95% CI, −209 to −64]; P <0.001) at 1-year postintervention. CONCLUSIONS: There has been a temporal increase in the number of transcatheter valve implantations over time. Transcatheter valve replacement was associated with clinical improvement across multiple domains. However, there was a significant increase in prosthetic valve gradient within 10 years of follow-up, suggesting limited prosthesis longevity. There is a need for strategies to improve prosthetic valve longevity, which in turn may improve outcomes in this population.

Abstract Aims The increasing adoption of transcatheter tricuspid valve replacement (TTVR) offers a promising therapeutic option for patients with severe tricuspid regurgitation. However, many of these patients have pre-existing cardiac implantable electronic devices (CIEDs), raising concerns about potential lead-related complications. Despite these concerns, limited data exist on the impact of TTVR on CIED integrity and function. This study aimed to evaluate the impact of TTVR on CIED lead function, including pacing thresholds, sensing, and impedance, in patients undergoing TTVR with the EVOQUE valve system. Methods and results A retrospective observational study was conducted at Mayo Clinic Rochester, including 32 consecutive patients who underwent TTVR with pre-existing CIEDs. A total of 32 patients were included, with a mean age of 79.2 ± 8.4 years; 59% were female. A total of 62.5% had a permanent pacemaker, 12.5% had an implantable cardioverter-defibrillator, 15.6% had a cardiac resynchronization therapy pacemaker, and 9.4% had a cardiac resynchronization therapy defibrillator. Following TTVR, 10 (31%) of patients developed lead function changes during a median device follow-up of 210 days (IQR: 43–307 days). The right ventricular lead was primarily affected, with only one case involving an atrial lead. Neither the Ottawa score nor the anatomical lead position reliably predicted lead abnormality (P = 0.86 and P = 0.53, respectively). R-wave sensing changes were the most common lead change observed, affecting 55% of cases. In 67% of these cases, R-wave sensing alterations occurred as an isolated finding, with no significant change in impedance or thresholds, and were managed conservatively without any need for device reprogramming. Four patients (13%) had findings concerning for a lead insulation breach, in which one (3%) required a lead revision. Among five patients with follow-up exceeding 600 days, two patients exhibited a statistically significant gradual decline in impedance without other lead dysfunction, suggesting potential subclinical lead degradation. Conclusion Transcatheter tricuspid valve replacement with the EVOQUE system in the setting of cardiac device leads is associated with lead function changes in 31%. The majority of lead-related changes were managed conservatively, but 13% of patients had findings concerning for an insulation breach. Future studies should focus on refining implantation techniques and defining optimal strategies for managing device-lead interactions in this population.

Abstract Aims Transcatheter mitral valve replacement (TMVR) has become a feasible alternative to surgical mitral valve replacement (SMVR) in selected patients at high surgical risk. The risk of valve thrombosis following SMVR and TMVR, and the optimal antithrombotic therapy following these procedures, remains uncertain. We aimed to compare the incidence of bioprosthetic mitral valve thrombosis (bMVT) after SMVR and TMVR, and the incidence of bMVT between patients on different antithrombotic regimens. Methods and results A literature search of Medline, Embase, and Cochrane Library was performed between January 2000 and August 2024. Random-effects models were used to derive pooled estimates of the incidence of bMVT in the absence of prior or active endocarditis and valve thrombosis. A total of 47 studies (6170 patients, total follow-up 9541.8 patient-years) were eligible for inclusion. The overall incidence of bMVT was 5.05 [95% confidence interval (CI) 3.18–8.01, I2 = 82%] per 100-patient-years. Subclinical bMVT was more common than clinically significant bMVT: incidence 19.11 vs. 7.91 per 100-patient-years, adjusted incidence rate ratio (aIRR) 4.62 (95% CI 1.39–15.36), P = 0.012. bMVT was numerically more common after TMVR than SMVR, but the comparison was not statistically significant: incidence 7.03 vs. 0.58 per 100-patient-years, aIRR 2.19 (95% CI 0.72–6.72), P = 0.170. Patients on vitamin-K antagonists (VKA) had a lower incidence of bMVT than patients on direct oral anticoagulants (DOAC; incidence 5.72 vs. 17.08, aIRR 0.31, 95% CI 0.13–0.73, P = 0.007). Conclusions bMVT is not uncommon, with numerically higher incidence in transcatheter compared to surgical valves, but the comparison was not statistically significant. VKAs are associated with a lower incidence of bMVT compared to DOACs.

ABSTRACTBackgroundMitral transcatheter edge‐to‐edge repair (TEER) is a minimally invasive therapy for severe mitral regurgitation (MR) in patients with high surgical risk. TEER results in a tissue bridge that decreases mitral valve area, potentially leading to elevated mean gradient. The clinical impact of elevated gradient on outcomes is unclear.MethodsThis systematic review and meta‐analysis was based on a comprehensive search of five databases. We included studies that evaluated post mitral TEER gradient on one of the following outcomes: all‐cause mortality, combined endpoints, symptoms, hospitalizations, and mitral valve re‐intervention. Meta‐analysis was conducted using the random‐effects model.ResultsOut of 6458 citations, 17 studies were included (2017−2024) reporting on 7748 patients. There was significant heterogeneity between studies related to the cutoff used to define elevated gradient, etiology of MR, and outcomes. Elevated mitral gradient post TEER (4, 4.5, 5 mmHg) was associated with worse combined endpoint (HR = 1.35, 95% CI 1.07−1.71; I2 64%), but not all‐cause mortality (HR = 1.25, 95% CI 0.97−1.59; I2 45%) or risk of hospitalization. For the combined endpoint, this association was mainly significant in patients who had mitral gradient assessed using discharge echocardiogram (HR = 1.39, 95% CI 1.07−1.81; I2 62%) for all patients and for those with degenerative MR.ConclusionDespite the heterogeneity between studies, the current analysis suggests that patients with elevated mitral gradient post TEER are at risk of worse clinical outcomes, particularly in patients who had mitral gradient assessed using discharge transthoracic echocardiogram.

Introduction: Identifying patients at risk for ischemic events after percutaneous coronary intervention (PCI) relies on traditional analysis of limited clinical and imaging variables. Machine learning (ML) has shown promise in effectively predicting cardiovascular risk in population studies. While existing ML models mainly predict mortality and incorporate clinical variables, there is a lack of tools that have utilized genetic data and that predict ischemic events. Aims: This study aims to develop and validate a ML model incorporating genotyping and clinical data to enhance prediction of ischemic outcomes for PCI patients utilizing large prospectively derived diverse datasets. Methods: Patients from the TAILOR-PCI trial (n=5302) were utilized for model development. 50% of the sample was utilized for Boruta feature selection and 50% for training and testing using cross validation. Features included demographics, medical history, medications, PCI characteristics, and genetic data (specifically, CYP2C19 *2, *3, *17 alleles). The primary endpoint was a composite of cardiovascular death, myocardial infarction, stroke, stent thrombosis, and severe recurrent ischemia at 12 months. Multiple ML classification algorithms, including Support Vector Machine (SVM) polynomial, Random Forest, Light gradient boost, XG Boost, among others, were benchmarked for their prediction performance on rare events. The top performing classifiers were externally validated on an independent dataset from the PRECISION PCI study (n=3,745). Results: Mean participant age of the training set was 64.2 ± 11.0 years, with 75.4% being male. During follow-up of 12 months, among 4,572 patients in the entire cohort 343 (7.5%) met the primary outcome. The SVM polynomial model demonstrated the highest area under the curve (AUC) of 0.67 for predicting the primary outcome with test dataset. The sensitivity, specificity, precision, and recall were 0.87, 0.28, 0.07, and 0.87 respectively (Figure). Peripheral arterial disease, body mass index, and age were among the top variables by feature importance. Conclusion: ML models incorporating both clinical and genetic data are feasible and highly promising in predicting major adverse cardiac events that may help guide use of anti-platelet drug therapy. The AUC values are reasonable given imbalances and misclassifications in datasets, and further model optimization with prospective utilization of the model will be paramount.

Case Description: A 68-year-old man with end-stage renal disease on dialysis, peripheral vascular disease with metatarsal amputations, atrial fibrillation and type 1 diabetes was admitted for foot osteomyelitis secondary to MSSA bacteremia. Transesophageal echocardiogram revealed mobile mitral valve vegetations up to 1.8cm on the atrial aspect of the posterior mitral valve leaflet which prolapsed through the mitral valve during diastole. Ejection fraction was 60% and there was trivial-mild mitral regurgitation without valvular destruction or peri-annular extension into the mitral annulus. MRI brain showed bilateral cerebral and cerebellar hemispheric infarcts, consistent with acute embolic stroke. He was at high risk for both recurrent embolism and operative mortality (STS risk score 51%) due to his comorbidities and risk of hemorrhagic conversion of stroke. After shared decision making, percutaneous aspiration of the mitral vegetation was performed with AngioVac (Fig). Cerebral embolism protection devices were deployed prior to AngioVac evacuation of the mass. There was no residual mitral regurgitation and only a small vegetation strand remained (Fig). Surgical pathology confirmed MSSA endocarditis. Blood cultures remained negative, and the patient did not suffer from recurrent embolic events. The patient underwent revision metatarsal amputation and was discharged with a 6-week course of IV cefazolin. Discussion: Infective endocarditis with high embolic risk is life-threatening and challenging to treat in patients with high surgical risk. We illustrate a case of percutaneous vegetation aspiration using the AngioVac device in our patient who suffered from embolic strokes due to MSSA mitral valve endocarditis. Meta-analyses have shown clinically successful debulking in 90% of cases, with 82% of patients able to clear bacteremia with AngioVac. Although most commonly used in right-sided lesions, percutaneous debulking of left-sided endocarditis with AngioVac and cerebral protection can be considered as a treatment strategy in select patients with prohibitive surgical risk.