Risk Score for Prediction of Dialysis After Transcatheter Aortic Valve Replacement.

BACKGROUND: Dialysis is a rare but serious complication after transcatheter aortic valve replacement. We analyzed the large multicenter TRITAVI (transfusion requirements in transcatheter aortic valve implantation) registry in order to develop and validate a clinical score assessing this risk. METHODS AND RESULTS: A total of 10 071 consecutive patients were enrolled in 19 European centers. Patients were randomly assigned (2:1) to a derivation and validation cohort. Two scores were developed, 1 including only preprocedural variables (TRITAVIpre) and 1 also including procedural variables (TRITAVIpost). In the 6714 patients of the derivation cohort (age 82±6 years, 48% men), preprocedural factors independently associated with dialysis and included in the TRITAVIpre score were male sex, diabetes, prior coronary artery bypass graft, anemia, nonfemoral access, and creatinine clearance <30 mL/min per m2. Additional independent predictors among procedural features were volume of contrast, need for transfusion, and major vascular complications. Both scores showed a good discrimination power for identifying risk for dialysis with C-statistic 0.78 for TRITAVIpre and C-statistic 0.88 for TRITAVIpost score. Need for dialysis increased from the lowest to the highest of 3 risk score groups (from 0.3% to 3.9% for TRITAVIpre score and from 0.1% to 6.2% for TRITAVIpost score). Analysis of the 3357 patients of the validation cohort (age 82±7 years, 48% men) confirmed the good discrimination power of both scores (C-statistic 0.80 for TRITAVIpre and 0.81 for TRITAVIpost score). Need for dialysis was associated with a significant increase in 1-year mortality (from 6.9% to 54.4%; P=0.0001). CONCLUSIONS: A simple preprocedural clinical score can help predict the risk of dialysis after transcatheter aortic valve replacement.

Reproducibility of an artificial intelligence optical coherence tomography software for tissue characterization: Implications for the design of longitudinal studies.

BACKGROUND: To assess the reproducibility of coronary tissue characterization by an Artificial Intelligence Optical Coherence Tomography software (OctPlus, Shanghai Pulse Medical Imaging Technology Inc.). METHODS: 74 patients presenting with multivessel ST-segment elevation myocardial infarction (STEMI) underwent optical coherence tomography (OCT) of the infarct-related artery at the end of primary percutaneous coronary intervention (PPCI) and during staged PCI (SPCI) within 7 days thereafter in the MATRIX (Minimizing Adverse Hemorrhagic Events by Transradial Access Site and angioX) Treatment-Duration study (ClinicalTrials.gov, NCT01433627). OCT films were run through the OctPlus software. The same region of interest between either side of the stent and the first branch was identified on OCT films for each patient at PPCI and SPCI, thus generating 94 pairs of segments. 42 pairs of segments were re-analyzed for intra-software difference. Five plaque characteristics including cholesterol crystal, fibrous tissue, calcium, lipid, and macrophage content were analyzed for various parameters (span angle, thickness, and area). RESULTS: There was no statistically significant inter-catheter (between PPCI and SPCI) or intra-software difference in the mean values of all the parameters. Inter-catheter correlation for area was best seen for calcification [intraclass correlation coefficient (ICC) 0.86], followed by fibrous tissue (ICC 0.87), lipid (ICC 0.62), and macrophage (ICC 0.43). Some of the inter-catheter relative differences for area measurements were large: calcification 9.75 %; cholesterol crystal 74.10 %; fibrous tissue 5.90 %; lipid 4.66 %; and macrophage 1.23 %. By the intra-software measurements, there was an excellent correlation (ICC > 0.9) for all tissue types. The relative differences for area measurements were: calcification 0.64 %; cholesterol crystal 5.34 %; fibrous tissue 0.19 %; lipid 1.07 %; and macrophage 0.60 %. Features of vulnerable plaque, minimum fibrous cap thickness and lipid area showed acceptable reproducibility. CONCLUSION: The present study demonstrates an overall good reproducibility of tissue characterization by the Artificial Intelligence Optical Coherence Tomography software. In future longitudinal studies, investigators may use discretion in selecting the imaging endpoints and sample size, accounting for the observed relative differences in this study.

Management of high and intermediate-high risk pulmonary embolism: A position paper of the Interventional Cardiology Working Group of the Italian Society of Cardiology.

Pulmonary embolism (PE) is a potentially life-threatening condition that remains a major global health concern. Noteworthy, patients with high- and intermediate-high-risk PE pose unique challenges because they often display clinical and hemodynamic instability, thus requiring rapid intervention to mitigate the risk of clinical deterioration and death. Importantly, recovery from PE is associated with long-term complications such as recurrences, bleeding with oral anticoagulant treatment, pulmonary hypertension, and psychological distress. Several novel strategies to improve risk factor characterization and management of patients with PE have recently been introduced. Accordingly, this position paper of the Working Group of Interventional Cardiology of the Italian Society of Cardiology deals with the landscape of high- and intermediate-high risk PE, with a focus on bridging the gap between the evolving standards of care and the current clinical practice. Specifically, the growing importance of catheter-directed therapies as part of the therapeutic armamentarium is highlighted. These interventions have been shown to be effective strategies in unstable patients since they offer, as compared with thrombolysis, faster and more effective restoration of hemodynamic stability with a consistent reduction in the risk of bleeding. Evolving standards of care underscore the need for continuous re-assessment of patient risk stratification. To this end, a multidisciplinary approach is paramount in refining selection criteria to deliver the most effective treatment to patients with unstable hemodynamics. In conclusion, the current management of unstable patients with PE should prioritize tailored treatment in a patient-oriented approach in which transcatheter therapies play a central role.

In-stent restenosis after percutaneous coronary intervention: emerging knowledge on biological pathways.

Percutaneous coronary intervention (PCI) has evolved significantly over the past four decades. Since its inception, in-stent restenosis (ISR)-the progressive reduction in vessel lumen diameter after PCI-has emerged as the main complication of the procedure. Although the incidence of ISR has reduced from 30% at 6 months with bare-metal stents to 7% at 4 years with drug-eluting stents (DESs), its occurrence is relevant in absolute terms because of the dimensions of the population treated with PCI. The aim of this review is to summarize the emerging understanding of the biological pathways that underlie ISR. In-stent restenosis is associated with several factors, including patient-related, genetic, anatomic, stent, lesion, and procedural characteristics. Regardless of associated factors, there are common pathophysiological pathways involving molecular phenomena triggered by the mechanical trauma caused by PCI. Such biological pathways are responses to the denudation of the intima during balloon angioplasty and involve inflammation, hypersensitivity reactions, and stem cell mobilization particularly of endothelial progenitor cells (EPCs). The results of these processes are either vessel wall healing or neointimal hyperplasia and/or neo-atherosclerosis. Unravelling the key molecular and signal pathways involved in ISR is crucial to identify appropriate therapeutic strategies aimed at abolishing the 'Achille's heel' of PCI. In this regard, we discuss novel approaches to prevent DES restenosis. Indeed, available evidence suggests that EPC-capturing stents promote rapid stent re-endothelization, which, in turn, has the potential to decrease the risk of stent thrombosis and allow the use of a shorter-duration dual antiplatelet therapy.

Revisiting Diagnosis and Treatment of Hypertrophic Cardiomyopathy: Current Practice and Novel Perspectives.

Sarcomeric hypertrophic cardiomyopathy (HCM) is a prevalent genetic disorder characterised by left ventricular hypertrophy, myocardial disarray, and an increased risk of heart failure and sudden cardiac death. Despite advances in understanding its pathophysiology, treatment options for HCM remain limited. This narrative review aims to provide a comprehensive overview of current clinical practice and explore emerging therapeutic strategies for sarcomeric HCM, with a focus on cardiac myosin inhibitors. We first discuss the conventional management of HCM, including lifestyle modifications, pharmacological therapies, and invasive interventions, emphasizing their limitations and challenges. Next, we highlight recent advances in molecular genetics and their potential applications in refining HCM diagnosis, risk stratification, and treatment. We delve into emerging therapies, such as gene editing, RNA-based therapies, targeted small molecules, and cardiac myosin modulators like mavacamten and aficamten, which hold promise in modulating the underlying molecular mechanisms of HCM. Mavacamten and aficamten, selective modulators of cardiac myosin, have demonstrated encouraging results in clinical trials by reducing left ventricular outflow tract obstruction and improving symptoms in patients with obstructive HCM. We discuss their mechanisms of action, clinical trial outcomes, and potential implications for the future of HCM management. Furthermore, we examine the role of precision medicine in HCM management, exploring how individualised treatment strategies, including exercise prescription as part of the management plan, may optimise patient outcomes. Finally, we underscore the importance of multidisciplinary care and patient-centred approaches to address the complex needs of HCM patients. This review also aims to encourage further research and collaboration in the field of HCM, promoting the development of novel and more effective therapeutic strategies, such as cardiac myosin modulators, to hopefully improve the quality of life and outcome of patients with sarcomeric HCM.

Comparison of different percutaneous revascularisation timing strategies in patients undergoing transcatheter aortic valve implantation.

BACKGROUND: The optimal timing to perform percutaneous coronary interventions (PCI) in transcatheter aortic valve implantation (TAVI) patients remains unknown. AIMS: We sought to compare different PCI timing strategies in TAVI patients. METHODS: The REVASC-TAVI registry is an international registry including patients undergoing TAVI with significant, stable coronary artery disease (CAD) at preprocedural workup. In this analysis, patients scheduled to undergo PCI before, after or concomitantly with TAVI were included. The main endpoints were all-cause death and a composite of all-cause death, stroke, myocardial infarction (MI) or rehospitalisation for congestive heart failure (CHF) at 2 years. Outcomes were adjusted using the inverse probability treatment weighting (IPTW) method. RESULTS: A total of 1,603 patients were included. PCI was performed before, after or concomitantly with TAVI in 65.6% (n=1,052), 9.8% (n=157) or 24.6% (n=394), respectively. At 2 years, all-cause death was significantly lower in patients undergoing PCI after TAVI as compared with PCI before or concomitantly with TAVI (6.8% vs 20.1% vs 20.6%; p<0.001). Likewise, the composite endpoint was significantly lower in patients undergoing PCI after TAVI as compared with PCI before or concomitantly with TAVI (17.4% vs 30.4% vs 30.0%; p=0.003). Results were confirmed at landmark analyses considering events from 0 to 30 days and from 31 to 720 days. CONCLUSIONS: In patients with severe aortic stenosis and stable coronary artery disease scheduled for TAVI, performance of PCI after TAVI seems to be associated with improved 2-year clinical outcomes compared with other revascularisation timing strategies. These results need to be confirmed in randomised clinical trials.

Diagnostic and Prognostic Value of Stress Cardiovascular Magnetic Resonance Imaging in Patients With Known or Suspected Coronary Artery Disease: A Systematic Review and Meta-analysis.

Importance: The clinical utility of stress cardiovascular magnetic resonance imaging (CMR) in stable chest pain is still debated, and the low-risk period for adverse cardiovascular (CV) events after a negative test result is unknown. Objective: To provide contemporary quantitative data synthesis of the diagnostic accuracy and prognostic value of stress CMR in stable chest pain. Data Sources: PubMed and Embase databases, the Cochrane Database of Systematic Reviews, PROSPERO, and the ClinicalTrials.gov registry were searched for potentially relevant articles from January 1, 2000, through December 31, 2021. Study Selection: Selected studies evaluated CMR and reported estimates of diagnostic accuracy and/or raw data of adverse CV events for participants with either positive or negative stress CMR results. Prespecified combinations of keywords related to the diagnostic accuracy and prognostic value of stress CMR were used. A total of 3144 records were evaluated for title and abstract; of those, 235 articles were included in the full-text assessment of eligibility. After exclusions, 64 studies (74 470 total patients) published from October 29, 2002, through October 19, 2021, were included. Data Extraction and Synthesis: This systematic review and meta-analysis adhered to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses. Main Outcomes and Measures: Diagnostic odds ratios (DORs), sensitivity, specificity, area under the receiver operating characteristic curve (AUROC), odds ratio (OR), and annualized event rate (AER) for all-cause death, CV death, and major adverse cardiovascular events (MACEs) defined as the composite of myocardial infarction and CV death. Results: A total of 33 diagnostic studies pooling 7814 individuals and 31 prognostic studies pooling 67 080 individuals (mean [SD] follow-up, 3.5 [2.1] years; range, 0.9-8.8 years; 381 357 person-years) were identified. Stress CMR yielded a DOR of 26.4 (95% CI, 10.6-65.9), a sensitivity of 81% (95% CI, 68%-89%), a specificity of 86% (95% CI, 75%-93%), and an AUROC of 0.84 (95% CI, 0.77-0.89) for the detection of functionally obstructive coronary artery disease. In the subgroup analysis, stress CMR yielded higher diagnostic accuracy in the setting of suspected coronary artery disease (DOR, 53.4; 95% CI, 27.7-103.0) or when using 3-T imaging (DOR, 33.2; 95% CI, 19.9-55.4). The presence of stress-inducible ischemia was associated with higher all-cause mortality (OR, 1.97; 95% CI, 1.69-2.31), CV mortality (OR, 6.40; 95% CI, 4.48-9.14), and MACEs (OR, 5.33; 95% CI, 4.04-7.04). The presence of late gadolinium enhancement (LGE) was associated with higher all-cause mortality (OR, 2.22; 95% CI, 1.99-2.47), CV mortality (OR, 6.03; 95% CI, 2.76-13.13), and increased risk of MACEs (OR, 5.42; 95% CI, 3.42-8.60). After a negative test result, pooled AERs for CV death were less than 1.0%. Conclusion and Relevance: In this study, stress CMR yielded high diagnostic accuracy and delivered robust prognostication, particularly when 3-T scanners were used. While inducible myocardial ischemia and LGE were associated with higher mortality and risk of MACEs, normal stress CMR results were associated with a lower risk of MACEs for at least 3.5 years.

Lipid-lowering therapy in patients with coronary artery disease undergoing percutaneous coronary interventions in Italy: an expert opinion paper of Interventional Cardiology Working Group of Italian Society of Cardiology.

After percutaneous coronary interventions (PCIs), patients remain at high risk of developing recurrent cardiovascular events. Despite advances in interventional cardiology, the correct management of residual low-density lipoprotein cholesterol (LDL-C) risk continues to be crucial for improving long-term outcomes after PCI. However, several observational studies have demonstrated suboptimal LDL-C control, poor adherence to statin therapy, and underutilization of high-intensity statins, ezetimibe, and proprotein convertase subtilisin/kexin type 9 inhibitors in real-world clinical practice despite a strong endorsement from international guidelines. Recent studies have shown that early intensive lipid-lowering therapy stabilizes atheromatous plaque and increases fibrous cap thickness in patients with acute coronary syndrome. This finding emphasizes the importance of achieving therapeutic targets by establishing an effective treatment as early as possible. The aim of this expert opinion paper of the Interventional Cardiology Working Group of the Italian Society of Cardiology is to discuss the management of lipid-lowering therapy in patients undergoing PCIs according to Italian reimbursement policies and regulations, with a particular focus on the discharge phase.

Coronary angiography- or fractional flow reserve-guided complete revascularization in multivessel disease STEMI: A Bayesian hierarchical network meta-analysis.

AIMS: To identify the best strategy to achieve complete revascularization (CR) in patients with ST-elevation myocardial infarction (STEMI) and multi-vessel disease (MVD). METHODS AND RESULTS: We systematically reviewed the literature for randomized controlled trials (RCTs) comparing IRA-only PCI and CR guided by angiography or fractional flow reserve (FFR) in MVD-STEMI. Both frequentist (classical) and Bayesian network meta-analysis were performed, including a comparative hierarchy estimation of the probability to reduce the primary composite endpoint of all-cause death and new myocardial infarction (MI). We identified 11 RCTs, including 8193 STEMI patients. Compared with IRA-only strategy, CR significantly reduced the primary endpoint (OR: 0.73; 95%CI0.55-0.97). We observed non-significant difference between angiography and FFR guidance in reducing the primary endpoint (OR: 0.73, 95% CI 0.35-1.57). The Bayesian probability analysis ranked angio-guided CR as the best intervention yielding lowest risk of all-cause death or new MI (SUCRA92%). CONCLUSIONS: In patients with MVD-STEMI, CR is associated with a reduction in all-cause mortality and new MI compared with IRA-only PCI. Angio-guided CR is associated with the lowest risk of all-cause death or new MI, therefore the role of FFR-guidance in this setting is questionable. CONDENSED ABSTRACT: Both frequentist and Bayesian network meta-analysis were performed to compare infarct-related artery (IRA)-only percutaneous coronary intervention (PCI) and complete revascularization (CR) guided by angiography or fractional flow reserve (FFR) in multivessel disease (MVD) and acute ST-elevation myocardial infarction (STEMI). Eleven randomized controlled trials were identified, including 8193 STEMI patients. Compared with IRA-only strategy, CR significantly reduced the incidence of the composite endpoint of all-cause death and new myocardial infarction without significant difference in angio-guided and FFR-guided CR. The Bayesian probability analysis ranked angio-guided CR as the best intervention yielding lowest risk of the composite endpoint and, therefore the role of FFR-guidance in this setting is questionable.

Automatic assessment of collaterals physiology in chronic total occlusions by means of artificial intelligence.

BACKGROUND: Assessment of collaterals physiology in chronic total occlusions (CTO) currently requires dedicated devices, adds complexity, and increases the cost of the intervention. This study sought to derive collaterals physiology from flow velocity changes (ΔV) in donor arteries, calculated with artificial intelligence- aided angiography. METHODS: Angiographies with successful percutaneous coronary intervention (PCI) in 2 centers were retro- spectively analyzed. CTO collaterals were angiographically evaluated according to Rentrop and collateral connections (CC) classifications. Flow velocities in the primary and secondary collateral donor arteries (PCDA, SCDA) were automatically computed pre and post PCI, based on a novel deep-learning model to extract the length/time curve of the coronary filling in angiography. Parameters of collaterals physiology, Δcollateral-flow (Δfcoll) and Δcollateral-flow-index (ΔCFI), were derived from the ΔV pre-post. RESULTS: The analysis was feasible in 105 out of 130 patients. Flow velocity in the PCDA significantly decreased after CTO-PCI, proportionally to the angiographic collateral grading (Rentrop 1: 0.02 ± 0.01 m/s; Rentrop 2: 0.04 ± 0.01 m/s; Rentrop 3: 0.07 ± 0.02 m/s; p < 0.001; CC0: 0.01 ± 0.01 m/s; CC1: 0.04 ± ± 0.02 m/s; CC2: 0.06 ± 0.02 m/s; p < 0.001). Δfcoll and ΔCFI paralleled ΔV. SCDA also showed a greater reduction in flow velocity if its collateral channels were CC1 vs. CC0 (0.03 ± 0.01 vs. 0.01 ± 0.01 m/s; p < 0.001). For each individual patient, ΔV was more pronounced in the PCDA than in the SCDA. CONCLUSIONS: Automatic assessment of collaterals physiology in CTO is feasible, based on a deeplearning model analyzing the filling of the donor vessels in angiography. The changes in collateral flow with this novel method are quantitatively proportional to the angiographic grading of the collaterals.