Clonal hematopoiesis and atherosclerosis.

Clonal hematopoiesis of indeterminate potential (CHIP) has emerged as a previously unrecognized, potent, age-related, and common risk factor for atherosclerosis. Somatic mutations in certain known leukemia driver genes give rise to clones of mutant cells in peripheral blood. The increased risk of developing hematologic malignancy does not, on its own, explain excess mortality in individuals with CHIP. Cardiovascular disease accounts for much of this gap. Experimental evidence supports the causality of certain CHIP mutations in accelerated atherosclerosis. CHIP due to mutations in different driver genes varies in their promotion of atherosclerotic events and in the region of augmented atherosclerotic involvement. For example, CHIP due to mutations in DNMT3a appears less atherogenic than CHIP that arises from TET2 or JAK2, forms of CHIP that incite inflammation. The recognition of certain CHIP mutations as promoters of atherosclerotic risk has opened new insights into understanding of the pathophysiology of this disease. The accentuated cardiovascular risk and involvement of distinct pathways of various forms of CHIP also inform novel approaches to allocation of targeted therapies, affording a step toward personalized medicine.

Addressing residual risk beyond statin therapy: New targets in the management of dyslipidaemias-A report from the European Society of Cardiology Cardiovascular Round Table.

Cardiovascular (CV) disease is the most common cause of death in Europe. Despite proven benefits, use of lipid-lowering therapy remains suboptimal. Treatment goals are often not achieved, even in patients at high risk with atherosclerotic CV disease (ASCVD). The occurrence of CV events in patients on lipid-lowering drugs is defined as "residual risk", and can result from inadequate control of plasma lipids or blood pressure, inflammation, diabetes, and environmental hazards. Assessment of CV risk factors and vascular imaging can aid in the evaluation and management decisions for individual patients. Lifestyle measures remain the primary intervention for lowering CV risk. Where drug therapies are required to reach lipid treatment targets, their effectiveness increases when they are combined with lifestyle measures delivered through formal programs. However, lipid drug dosage and poor adherence to treatment remain major obstacles to event-free survival. This article discusses guideline-supported treatment algorithms beyond statin therapy that can help reduce residual risk in specific patient profiles while also likely resulting in substantial healthcare savings through better patient management and treatment adherence.

Long-term longitudinal analysis of 4,187 participants reveals insights into determinants of clonal hematopoiesis.

Clonal hematopoiesis of indeterminate potential (CHIP) is linked to diverse aging-related diseases, including hematologic malignancy and atherosclerotic cardiovascular disease (ASCVD). While CHIP is common among older adults, the underlying factors driving its development are largely unknown. To address this, we performed whole-exome sequencing on 8,374 blood DNA samples collected from 4,187 Atherosclerosis Risk in Communities Study (ARIC) participants over a median follow-up of 21 years. During this period, 735 participants developed incident CHIP. Splicing factor genes (SF3B1, SRSF2, U2AF1, and ZRSR2) and TET2 CHIP grow significantly faster than DNMT3A non-R882 clones. We find that age at baseline and sex significantly influence the incidence of CHIP, while ASCVD and other traditional ASCVD risk factors do not exhibit such associations. Additionally, baseline synonymous passenger mutations are strongly associated with CHIP status and are predictive of new CHIP clone acquisition and clonal growth over extended follow-up, providing valuable insights into clonal dynamics of aging hematopoietic stem and progenitor cells. This study also reveals associations between germline genetic variants and incident CHIP. Our comprehensive longitudinal assessment yields insights into cell-intrinsic and -extrinsic factors contributing to the development and progression of CHIP clones in older adults.

ApoA-I Infusions and Burden of Ischemic Events After Acute Myocardial Infarction: Insights From the AEGIS-II Trial.

BACKGROUND: Following an acute myocardial infarction (AMI), patients remain at risk for subsequent cardiovascular (CV) events. In the AEGIS-II trial, CSL112, a human apolipoprotein A-I derived from plasma that enhances cholesterol efflux, did not significantly reduce the first occurrence of CV death, myocardial infarction (MI), or stroke through 90 days compared with placebo. However, an analysis involving only the first event may not capture the totality of the clinical impact of an intervention because patients may experience multiple events. OBJECTIVES: This prespecified exploratory analysis examines the effect of CSL112 on total burden of nonfatal ischemic events (ie, recurrent MI and stroke) and CV death. METHODS: A total of 18,219 patients with AMI, multivessel coronary artery disease, and additional CV risk factors were randomized to either 4 weekly infusions of 6 g CSL112 (n = 9,112) or matching placebo (n = 9,107). A negative binomial regression model was applied to estimate the effect of CSL112 compared with placebo on the rate ratio (RR) of ischemic events. RESULTS: For CV death, MI, and stroke, there were numerically fewer total events at 90 days (503 vs 545 events; rate ratio [RR]: 0.88; 95% CI: 0.76-1.03, P = 0.11), and nominally significantly fewer total events at 180 days (745 vs 821 events, RR: 0.87; 95% CI: 0.77-0.99; P = 0.04) and 365 days (1,120 vs 1,211 events; RR 0.89; 95% CI: 0.80-0.99; P = 0.04). Subsequent events constituted 13% of events at 90 days, 17% at 180 days, and 22% at 1 year. Similar findings were seen with the total occurrence of nonfatal MI and CV death. When type II MIs, unlikely to be modified by enhancing cholesterol efflux, were excluded, there were nominally significant reductions in the total occurrence of nonfatal MI (excluding type 2) and CV death at all timepoints (90 days: RR: 0.81; 95% CI: 0.68-0.97; P = 0.02; 180 days: RR: 0.82; 95% CI: 0.71-0.95; P < 0.01; 365 days: RR: 0.86; 95% CI: 0.76-0.98; P = 0.02). CONCLUSIONS: In this prespecified exploratory analysis of the AEGIS-II trial, 4 weekly infusions of CSL112 among high-risk patients after AMI significantly reduced the total burden of nonfatal ischemic events and CV death at 180 and 365 days compared with placebo. (AEGIS-II [Study to Investigate CSL112 in Subjects With Acute Coronary Syndrome]; NCT03473223).

Differential roles of eosinophils in cardiovascular disease.

Eosinophils are essential innate immune cells in allergic responses. Accumulating evidence indicates that eosinophils also participate in the pathogenesis of cardiovascular diseases (CVDs). In clinical studies, high blood eosinophil counts and eosinophil cationic protein levels have been associated with an increased risk of CVD, including myocardial infarction (MI), cardiac hypertrophy, atrial fibrillation, abdominal aortic aneurysm (AAA) and atherosclerosis. However, low blood eosinophil counts have also been reported to be a risk factor for MI, heart failure, aortic dissection, AAA, deep vein thrombosis, pulmonary embolism and ischaemic stroke. Although these conflicting clinical observations remain unexplained, CVD status, timing of eosinophil data collection, and tissue eosinophil phenotypic and functional heterogeneities might account for these discrepancies. Preclinical studies suggest that eosinophils have protective actions in MI, cardiac hypertrophy, heart failure and AAA. By contrast, cationic proteins and platelet-activating factor from eosinophils have been shown to promote vascular smooth muscle cell proliferation, vascular calcification, thrombomodulin inactivation and platelet activation and aggregation, thereby exacerbating atherosclerosis, atrial fibrillation, thrombosis and associated complications. Therefore, eosinophils seem to promote calcification and thrombosis in chronic CVD but are protective in acute cardiovascular settings. In this Review, we summarize the available clinical and preclinical data on the different roles of eosinophils in CVD.

Drug-Drug Interactions and the Clinical Tolerability of Colchicine Among Patients With COVID-19: A Secondary Analysis of the COLCORONA Randomized Clinical Trial.

Importance: Colchicine has many drug-drug interactions with commonly prescribed medications. Only pharmacokinetic studies have provided data on colchicine drug-drug interactions. Objective: To evaluate the clinical tolerability of colchicine according to the presence or absence of a drug-drug interaction. Design, Setting, and Participants: A secondary analysis of the COLCORONA trial was performed. The COLCORONA trial was a randomized, double-blind, placebo-controlled trial conducted in Brazil, Canada, Greece, South Africa, Spain, and the US between March 23, 2020, and January 20, 2021. The COLCORONA trial included ambulatory patients with COVID-19 with at least 1 high-risk characteristic and compared the effects of colchicine (0.5 mg twice daily for 3 days, then 0.5 mg daily thereafter) with placebo for 27 days. Data analysis was performed from February 24, 2023, to June 20, 2024. Exposure: In this secondary analysis, baseline medications that had interactions with colchicine were identified using a previously published expert classification. Main Outcomes and Measures: The primary outcome for this analysis was the composite of serious and nonserious treatment-related and treatment-unrelated gastrointestinal adverse events. The secondary outcomes were other adverse events and the composite of death or hospital admission due to COVID-19 infection. Logistic regression models adjusted for age, sex, estimated glomerular filtration rate, diabetes, heart failure, and myocardial infarction were assessed for effect modification of the association between the randomization arm and the outcomes of interest by drug-drug interaction status. Results: The cohort included 2205 participants in the colchicine arm and 2227 in the placebo arm (median age, 54 [IQR, 47-61] years; 2389 [54%] women). The most common colchicine drug-drug interactions were rosuvastatin (12%) and atorvastatin (10%). In fully adjusted models, the odds of any gastrointestinal adverse event were 1.80 (95% CI, 1.51-2.15) times higher in the colchicine arm than the placebo arm among people without a drug-drug interaction and 1.68 (95% CI, 1.24-2.26) times higher in the colchicine arm than the placebo arm among people with a drug-drug interaction (P = .69 for interaction). Drug-drug interaction status did not significantly modify the effect of colchicine on the composite of COVID-19 hospitalization or death (odds ratio, 0.91; 95% CI, 0.59-1.40 for drug-drug interaction and 0.84; 95% CI, 0.60-1.19 for no drug-drug interaction; P = .80 for interaction). Conclusions and Relevance: In this secondary analysis of the COLCORONA trial, operational classification of drug interactions system class 3 or 4 drug-drug interactions did not appear to significantly increase the risk of colchicine-related adverse effects. Trial Registration: ClinicalTrials.gov Identifier: NCT04322682.

Apolipoprotein A-I Infusions and Cardiovascular Outcomes in Acute Myocardial Infarction According to Baseline LDL-Cholesterol Levels: The AEGIS-II Trial.

BACKGROUND AND AIMS: In the AEGIS-II trial (NCT03473223), CSL112, a human apolipoprotein A1 derived from plasma that increases cholesterol efflux capacity, did not significantly reduce the risk of the primary endpoint through 90 days versus placebo after acute myocardial infarction (MI). Nevertheless, given the well-established relationship between higher low-density lipoprotein cholesterol (LDL-C) and plaque burden, as well as greater risk reductions seen with PCSK9 inhibitors in patients with baseline LDL-C ≥100 mg/dL on statin therapy, the efficacy of CSL112 may be influenced by baseline LDL-C. METHODS: Overall, 18,219 patients with acute MI, multivessel coronary artery disease, and additional risk factors were randomized to either four weekly infusions of 6 g CSL112 or placebo. This exploratory post-hoc analysis evaluated cardiovascular outcomes by baseline LDL-C in patients prescribed guideline-directed statin therapy at the time of randomization (n=15,731). RESULTS: As baseline LDL-C increased, risk of the primary endpoint at 90 days lowered in those treated with CSL112 compared with placebo. In patients with LDL-C ≥100 mg/dL at randomization, there was a significant risk reduction of cardiovascular death, MI, or stroke in the CSL112 vs. placebo group at 90, 180, and 365 days (hazard ratio 0.69 [0.53-0.90], 0.71 [0.57-0.88], and 0.78 [0.65-0.93]). In contrast, there was no difference between treatment groups among those with LDL-C <100 mg/dL at baseline. CONCLUSIONS: In this population, treatment with CSL112 compared to placebo was associated with a significantly lower risk of recurrent cardiovascular events among patients with a baseline LDL-C ≥100 mg/dL. Further studies need to confirm that CSL112 efficacy is influenced by baseline LDL-C.

Deep learning-derived splenic radiomics, genomics, and coronary artery disease.

Background: Despite advances in managing traditional risk factors, coronary artery disease (CAD) remains the leading cause of mortality. Circulating hematopoietic cells influence risk for CAD, but the role of a key regulating organ, spleen, is unknown. The understudied spleen is a 3-dimensional structure of the hematopoietic system optimally suited for unbiased radiologic investigations toward novel mechanistic insights. Methods: Deep learning-based image segmentation and radiomics techniques were utilized to extract splenic radiomic features from abdominal MRIs of 42,059 UK Biobank participants. Regression analysis was used to identify splenic radiomics features associated with CAD. Genome-wide association analyses were applied to identify loci associated with these radiomics features. Overlap between loci associated with CAD and the splenic radiomics features was explored to understand the underlying genetic mechanisms of the role of the spleen in CAD. Results: We extracted 107 splenic radiomics features from abdominal MRIs, and of these, 10 features were associated with CAD. Genome-wide association analysis of CAD-associated features identified 219 loci, including 35 previously reported CAD loci, 7 of which were not associated with conventional CAD risk factors. Notably, variants at 9p21 were associated with splenic features such as run length non-uniformity. Conclusions: Our study, combining deep learning with genomics, presents a new framework to uncover the splenic axis of CAD. Notably, our study provides evidence for the underlying genetic connection between the spleen as a candidate causal tissue-type and CAD with insight into the mechanisms of 9p21, whose mechanism is still elusive despite its initial discovery in 2007. More broadly, our study provides a unique application of deep learning radiomics to non-invasively find associations between imaging, genetics, and clinical outcomes.

Clonal hematopoiesis, cardiovascular events and treatment benefit in 63,700 individuals from five TIMI randomized trials.

Clonal hematopoiesis of indeterminate potential (CHIP) has been associated with an increased risk of cardiovascular (CV) disease in the general population. Currently, it is unclear whether this association is observed in large clinical trial cohorts with a high burden of existing CV disease or whether CV therapies can mitigate CHIP-associated CV risk. To address these questions, we studied 63,700 patients from five randomized trials that tested established therapies for CV disease, including treatments targeting the proteins PCSK9, SGLT2, P2Y12 and FXa. During a median follow-up of 2.5 years, 7,453 patients had at least one CV event (CV death, myocardial infarction (MI), ischemic stroke or coronary revascularization). The adjusted hazard ratio (aHR) for CV events for CHIP+ patients was 1.07 (95% CI: 0.99-1.16, P = 0.08), with consistent risk estimates across each component of CV risk. Significant heterogeneity in the risk of MI was observed, such that CHIP+ patients had a 30% increased risk of first MI (aHR = 1.31 (1.05-1.64), P = 0.02) but no increased risk of recurrent MI (aHR = 0.94 (0.79-1.13), Pint = 0.008), as compared to CHIP- patients. Moreover, no significant heterogeneity in treatment effect between individuals with and without CHIP was observed for any of the therapies studied in the five trials. These results indicate that in clinical trial populations, CHIP is associated with incident but not recurrent coronary events and that the presence of CHIP does not appear to identify patients who will derive greater benefit from commonly used CV therapies.

Inflammation unites diverse acute and chronic diseases.

BACKGROUND: Inflammation and immunity contribute pivotally to diverse acute and chronic diseases. Inflammatory pathways have become increasingly targets for therapy. Yet, despite substantial similarity in mechanisms and pathways, the scientific, medical, pharma and biotechnology sectors have generally focused programs finely on a single disease entity or organ system. This insularity may impede progress in innovation and the harnessing of powerful new insights into inflammation biology ripe for clinical translation. METHODS: A multidisciplinary thinktank reviewed highlights how inflammation contributes to diverse diseases, disturbed homeostasis, ageing and impaired healthspan. We explored how common inflammatory and immune mechanisms that operate in key conditions in their respective domains. This consensus review highlights the high degree of commonality of inflammatory mechanisms in a diverse array of conditions that together contribute a major part of the global burden of morbidity and mortality and present an enormous challenge to public health and drain on resources. RESULTS: We demonstrate how that shared inflammatory mechanisms unite many seemingly disparate diseases, both acute and chronic. The examples of infection, cardiovascular conditions, pulmonary diseases, rheumatological disorders, dementia, cancer and ageing illustrate the overlapping pathogenesis. We outline opportunities to synergize, reduce duplication and consolidate efforts of the clinical, research and pharmaceutical communities. Enhanced recognition of these commonalties should promote cross-fertilization and hasten progress in this rapidly moving domain. CONCLUSIONS: Greater appreciation of the shared mechanisms should simplify understanding seemingly disparate diseases for clinicians and help them to recognize inflammation as a therapeutic target which the development of novel therapies is rendering actionable.

Comparative Cardiovascular Benefits of Bempedoic Acid and Statin Drugs.

BACKGROUND: In the CLEAR (Cholesterol Lowering via Bempedoic Acid, an ACL-Inhibiting Regimen) Outcomes trial, treatment of statin-intolerant patients with bempedoic acid produced a 21% decrease in low-density lipoprotein cholesterol (LDL-C) relative to placebo and a 13% relative reduction in the risk of major adverse cardiovascular events. OBJECTIVES: This study sought to determine whether the relationship between LDL-C lowering and cardiovascular benefit achieved with bempedoic acid resembles that observed with statins when standardized per unit change in LDL-C. METHODS: To compare the treatment effect of bempedoic acid with statins, the methodology of the Cholesterol Treatment Trialists' Collaboration (CTTC) was applied to outcomes among the 13,970 patients enrolled in the CLEAR Outcomes trial. The CTTC endpoint of "major vascular event" was a composite of coronary heart disease death, nonfatal myocardial infarction, fatal or nonfatal stroke, or coronary revascularization. HRs for CTTC-defined endpoints were normalized to 1 mmol/L differences in LDL-C levels between bempedoic acid and placebo groups. RESULTS: A first major vascular event occurred in 703 (10.1%) patients in the bempedoic acid group and 816 (11.7%) patients in the placebo group (HR: 0.85; 95% CI: 0.77-0.94). When normalized per 1 mmol/L reduction in LDL-C, the HR was 0.75 (95% CI: 0.63-0.90), comparable to the rate ratio of 0.78 reported for statins in the CTTC meta-analysis. Normalized risk reductions were similar for bempedoic acid and statins for the endpoints of major coronary events, nonfatal myocardial infarction, and coronary revascularization. CONCLUSIONS: Cardiovascular risk reduction with bempedoic acid is similar to that achieved with statins for a given absolute magnitude of LDL-C lowering. (Evaluation of Major Adverse Cardiovascular Events in Participants With, or at High Risk for, Cardiovascular Disease Who Are Statin Intolerant Treated with Bempedoic Acid [ETC-1002] or Placebo [CLEAR Outcomes]; NCT02993406).

Eicosapentaenoic Acid Improves Endothelial Nitric Oxide Bioavailability Via Changes in Protein Expression During Inflammation.

BACKGROUND: Endothelial cell (EC) dysfunction involves reduced nitric oxide (NO) bioavailability due to NO synthase uncoupling linked to increased oxidation and reduced cofactor availability. Loss of endothelial function and NO bioavailability are associated with inflammation, including leukocyte activation. Eicosapentaenoic acid (EPA) administered as icosapent ethyl reduced cardiovascular events in REDUCE-IT (Reduction of Cardiovascular Events With Icosapent Ethyl-Intervention Trial) in relation to on-treatment EPA blood levels. The mechanisms of cardiovascular protection for EPA remain incompletely elucidated but likely involve direct effects on the endothelium. METHODS AND RESULTS: In this study, human ECs were treated with EPA and challenged with the cytokine IL-6 (interleukin-6). Proinflammatory responses in the ECs were confirmed by ELISA capture of sICAM-1 (soluble intercellular adhesion molecule-1) and TNF-α (tumor necrosis factor-α). Global protein expression was determined using liquid chromatography-mass spectrometry tandem mass tag. Release kinetics of NO and peroxynitrite were monitored using porphyrinic nanosensors. IL-6 challenge induced proinflammatory responses from the ECs as evidenced by increased release of sICAM-1 and TNF-α, which correlated with a loss of NO bioavailability. ECs pretreated with EPA modulated expression of 327 proteins by >1-fold (P<0.05), compared with IL-6 alone. EPA augmented expression of proteins involved in NO production, including heme oxygenase-1 and dimethylarginine dimethylaminohydrolase-1, and 34 proteins annotated as associated with neutrophil degranulation. EPA reversed the endothelial NO synthase uncoupling induced by IL-6 as evidenced by an increased [NO]/[peroxynitrite] release ratio (P<0.05). CONCLUSIONS: These direct actions of EPA on EC functions during inflammation may contribute to its distinct cardiovascular benefits.

Lessons from PROMINENT and prospects for pemafibrate.

The neutral result of the PROMINENT trial has led to questions about the future for pemafibrate. This commentary discusses possible reasons for the lack of benefit observed in the trial. There were, however, indicators suggesting therapeutic potential in microvascular ischaemic complications associated with peripheral artery disease, with subsequent analysis showing reduction in the incidence of lower extremity ischaemic ulceration or gangrene. Reassurance about the safety of pemafibrate, together with emerging data from PROMINENT and experimental studies, also suggest benefit with pemafibrate in non-alcoholic fatty liver disease (alternatively referred to as metabolic dysfunction-associated steatotic liver disease) and microangiopathy associated with diabetes, which merit further study.

Application of implementation science for improving the utilization of an international clinical practice guidance on familial hypercholesterolemia.

BACKGROUND: The International Atherosclerosis Society (IAS) published an evidence-informed guidance for familial hypercholesterolemia (FH) that provides both clinical and implementation recommendations. We reference examples of strategies from the literature to explore how these implementation recommendations can be tailored into implementation strategies at the local-level for stakeholders guided by a framework proposed by Sarkies and Jones. METHODS: Four authors of the IAS guidance selected two published exemplar implementation recommendations for detection, management, and general implementation. Each recommendation was described as an implementation strategy using Proctor's guidance for specifying and reporting implementation strategies. It recommends reporting the actor (who), action (what), action-target (who is impacted), temporality (how often), and dose (how much) for each implementation strategy. RESULTS: Detection: A centralized cascade testing model, mobilized nurses (actor) to relative's homes, after the diagnosis of the proband (temporality), once (dose) to consent, obtain a blood sample and health information (action) on relatives (action-target). MANAGEMENT: A primary care initiative to improve FH management included an educational session (action) with clinicians (action-target), computer-based reminder message and message to patients to have their cholesterol screened once (dose) at a visit or outreach (temporality) by researchers (actor). General: A partnership between a statewide public pathology provider, local public hospital network, primary health network, government health ministry, and an academic university (actors) was established to implement a primary-tertiary shared care model (action) to improve the detection of FH (action-target). CONCLUSIONS: We demonstrate that implementation recommendations can be specified and reported for different local contexts with examples on monitoring, evaluation, and sustainability in practice.

Inflammatory risk and cardiovascular events in patients without obstructive coronary artery disease: the ORFAN multicentre, longitudinal cohort study.

BACKGROUND: Coronary computed tomography angiography (CCTA) is the first line investigation for chest pain, and it is used to guide revascularisation. However, the widespread adoption of CCTA has revealed a large group of individuals without obstructive coronary artery disease (CAD), with unclear prognosis and management. Measurement of coronary inflammation from CCTA using the perivascular fat attenuation index (FAI) Score could enable cardiovascular risk prediction and guide the management of individuals without obstructive CAD. The Oxford Risk Factors And Non-invasive imaging (ORFAN) study aimed to evaluate the risk profile and event rates among patients undergoing CCTA as part of routine clinical care in the UK National Health Service (NHS); to test the hypothesis that coronary arterial inflammation drives cardiac mortality or major adverse cardiac events (MACE) in patients with or without CAD; and to externally validate the performance of the previously trained artificial intelligence (AI)-Risk prognostic algorithm and the related AI-Risk classification system in a UK population. METHODS: This multicentre, longitudinal cohort study included 40 091 consecutive patients undergoing clinically indicated CCTA in eight UK hospitals, who were followed up for MACE (ie, myocardial infarction, new onset heart failure, or cardiac death) for a median of 2·7 years (IQR 1·4-5·3). The prognostic value of FAI Score in the presence and absence of obstructive CAD was evaluated in 3393 consecutive patients from the two hospitals with the longest follow-up (7·7 years [6·4-9·1]). An AI-enhanced cardiac risk prediction algorithm, which integrates FAI Score, coronary plaque metrics, and clinical risk factors, was then evaluated in this population. FINDINGS: In the 2·7 year median follow-up period, patients without obstructive CAD (32 533 [81·1%] of 40 091) accounted for 2857 (66·3%) of the 4307 total MACE and 1118 (63·7%) of the 1754 total cardiac deaths in the whole of Cohort A. Increased FAI Score in all the three coronary arteries had an additive impact on the risk for cardiac mortality (hazard ratio [HR] 29·8 [95% CI 13·9-63·9], p<0·001) or MACE (12·6 [8·5-18·6], p<0·001) comparing three vessels with an FAI Score in the top versus bottom quartile for each artery. FAI Score in any coronary artery predicted cardiac mortality and MACE independently from cardiovascular risk factors and the presence or extent of CAD. The AI-Risk classification was positively associated with cardiac mortality (6·75 [5·17-8·82], p<0·001, for very high risk vs low or medium risk) and MACE (4·68 [3·93-5·57], p<0·001 for very high risk vs low or medium risk). Finally, the AI-Risk model was well calibrated against true events. INTERPRETATION: The FAI Score captures inflammatory risk beyond the current clinical risk stratification and CCTA interpretation, particularly among patients without obstructive CAD. The AI-Risk integrates this information in a prognostic algorithm, which could be used as an alternative to traditional risk factor-based risk calculators. FUNDING: British Heart Foundation, NHS-AI award, Innovate UK, National Institute for Health and Care Research, and the Oxford Biomedical Research Centre.

Clonal Hematopoiesis of Indeterminate Potential and Long-term Outcomes in Heart Transplantation.

BACKGROUND: Clonal hematopoiesis of indeterminate potential (CHIP) mutations, a trait of aging, has been associated with the progression of cardiovascular disease and the development of malignancy. Uncertainty prevails regarding a robust association between CHIP and heart-transplantation (HT) outcomes. OBJECTIVES: To determine the prevalence of CHIP mutations in HT and their association with long-term outcomes, including cardiac allograft vasculopathy (CAV), graft failure, malignancy, and all-cause mortality. METHODS: We conducted a mixed retrospective-prospective observational study of HT recipients with targeted sequencing for CHIP mutations (variant allele frequency [VAF] of ≥ 2%). The primary composite outcome was the first occurrence of CAV grade ≥ 2, graft failure, malignancy, cardiac retransplantation, or all-cause death. Secondary outcomes were the individual components of the composite primary outcome. Sensitivity analyses with base-case and extreme scenarios were performed. RESULTS: Among 95 HT recipients, 30 had CHIP mutations (31.6%). DNMT3A mutations were most common (44.7%), followed by PPM1D (13.2%), SF3B1 (10.5%), TET2 (7.9%), and TP53 (7.9%). The only significant independent predictor of CHIP was age at enrollment or age at transplantation. After multivariable adjustment, CHIP mutations were not associated with the primary outcome, which occurred in 44 (46.3%) patients (HR = 0.487; 95% CI:0.197-1.204; P = 0.119), nor were they associated with mlalignancy alone, or death. CONCLUSION: We demonstrated no association between CHIP mutations and post-transplant outcomes, including CAV, graft failure, malignancy, and all-cause mortality. In line with previously published data, our analysis provides additional evidence about the lack of clinical value of using CHIP mutations as a biomarker for surveillance in outcomes after HT.