Clonal haematopoiesis of indeterminate potential and atrial fibrillation: an east Asian cohort study.

BACKGROUND AND AIMS: Both clonal haematopoiesis of indeterminate potential (CHIP) and atrial fibrillation (AF) are age-related conditions. This study investigated the potential role of CHIP in the development and progression of AF. METHODS: Deep-targeted sequencing of 24 CHIP mutations (a mean depth of coverage = 1000×) was performed in 1004 patients with AF and 3341 non-AF healthy subjects. Variant allele fraction ≥ 2.0% indicated the presence of CHIP mutations. The association between CHIP and AF was evaluated by the comparison of (i) the prevalence of CHIP mutations between AF and non-AF subjects and (ii) clinical characteristics discriminated by CHIP mutations within AF patients. Furthermore, the risk of clinical outcomes-the composite of heart failure, ischaemic stroke, or death-according to the presence of CHIP mutations in AF was investigated from the UK Biobank cohort. RESULTS: The mean age was 67.6 ± 6.9 vs. 58.5 ± 6.5 years in AF (paroxysmal, 39.0%; persistent, 61.0%) and non-AF cohorts, respectively. CHIP mutations with a variant allele fraction of ≥2.0% were found in 237 (23.6%) AF patients (DNMT3A, 13.5%; TET2, 6.6%; and ASXL1, 1.5%) and were more prevalent than non-AF subjects [356 (10.7%); P < .001] across the age. After multivariable adjustment (age, sex, smoking, body mass index, diabetes, and hypertension), CHIP mutations were 1.4-fold higher in AF [adjusted odds ratio (OR) 1.38; 95% confidence interval 1.10-1.74, P < .01]. The ORs of CHIP mutations were the highest in the long-standing persistent AF (adjusted OR 1.50; 95% confidence interval 1.14-1.99, P = .004) followed by persistent (adjusted OR 1.44) and paroxysmal (adjusted OR 1.33) AF. In gene-specific analyses, TET2 somatic mutation presented the highest association with AF (adjusted OR 1.65; 95% confidence interval 1.05-2.60, P = .030). AF patients with CHIP mutations were older and had a higher prevalence of diabetes, a longer AF duration, a higher E/E', and a more severely enlarged left atrium than those without CHIP mutations (all P < .05). In UK Biobank analysis of 21 286 AF subjects (1297 with CHIP and 19 989 without CHIP), the CHIP mutation in AF is associated with a 1.32-fold higher risk of a composite clinical event (heart failure, ischaemic stroke, or death). CONCLUSIONS: CHIP mutations, primarily DNMT3A or TET2, are more prevalent in patients with AF than non-AF subjects whilst their presence is associated with a more progressive nature of AF and unfavourable clinical outcomes.

Association between cumulative metabolic risk exposure and cardiovascular disease: a nationwide cohort of over 3.6 million young adults.

AIMS: As lifetime accumulation of cardiovascular risk factors is gaining importance, early identification and management of risk factors are being emphasized. The global prevalence of metabolic syndrome (MetS), a constellation of these risk factors, is increasing, particularly among young adults. In this study, we aim to investigate the association between cumulative exposure to metabolic risk and cardiovascular disease (CVD) in young adults. METHODS AND RESULTS: In this nationwide population-based cohort, we analysed 3 688 787 young adults (<40 years) with 2 biennial National Health Screening examinations from 2009 to 2012. Participants were categorized into MetS-free, MetS-developed, MetS-recovered, or MetS-persistent group, based on MetS presence at each examination. The endpoint was new CVD development, including myocardial infarction (MI) and ischaemic stroke. During follow-up (median, 7.7 years), CVD occurred in 19 219 individuals (0.5%). The incidence rates of CVD were 0.58, 1.17, 1.20, and 1.83 (1000 person-years) in the MetS-free, MetS-developed, MetS-recovered, and MetS-persistent groups, respectively. The CVD risk was proportionally associated with cumulative metabolic risk exposure, with a maximum two-fold increase in the MetS-persistent group [adjusted hazard ratio (aHR) 1.94, 95% confidence interval (CI) 1.84-2.04], followed by the MetS-recovered and the MetS-developed groups with similar risks. Among the MetS components, persistent exposure to elevated blood pressure (BP) had the greatest association with CVD risk (aHR 1.69, 95% CI 1.63-1.76). This tendency was consistent in the separate analyses of the risk of MI and ischaemic stroke. CONCLUSION: The risk of CVD increased in an exposure-dependent manner among young adults. Efforts to optimize the cardiometabolic profile, particularly BP, even after the establishment of MetS, might help promote long-term cardiovascular prognosis.

In this large-scale nationwide cohort comprising 3 688 787 asymptomatic young adults under 40 years, we showed that the long-term risk of cardiovascular disease (CVD) increased in proportion with cumulative exposure to metabolic risk, as assessed by temporal changes in metabolic syndrome (MetS) status, with blood pressure (BP) demonstrating the greatest impact.The risk of CVD exhibited a gradual increase in accordance with cumulative metabolic risk exposure, with a two-fold increment in the MetS-persistent group.Among the MetS components, persistent exposure to elevated BP had the most profound impact to increase the risk of CVD, and the optimization of BP levels might be helpful to promote long-term cardiovascular health in young adults.

Association between depression and young-onset dementia in middle-aged women.

BACKGROUND: Dementia is associated with older adults; however, it can also affect younger individuals, known as young-onset dementia (YOD), when diagnosed before the age of 65 years. We aimed to conduct a retrospective cohort study involving middle-aged women to investigate the association between premorbid depression and YOD development. METHODS: We included 1.6 million women aged 40-60 years who underwent health checkups under the Korean National Health Insurance Service and investigated the association between depression and YOD. RESULTS: Women with depression had a significantly higher risk of developing YOD than women without depression. Among premenopausal women, those with depression had a 2.67-fold increased risk, whereas postmenopausal women with depression had a 2.50-fold increased risk. Late age at menarche (> 16 years) and young age at menopause (< 40 years) was associated with an increased risk of YOD. CONCLUSIONS: Depression in middle-aged women is a significant risk factor for the development of YOD. Understanding the role of reproductive factors can aid in the development of targeted therapeutic interventions to prevent or delay YOD.

Impact of clonal haematopoiesis on atherosclerotic cardiovascular disease according to low-density lipoprotein cholesterol levels in general population.

AIMS: Clonal haematopoiesis of indeterminate potential (CHIP), defined as a clonal expansion of age-related recurrent somatic mutations, has recently emerged as a novel cardiovascular risk factor. However, the precise role of CHIP in the development of atherosclerotic cardiovascular disease (ASCVD) remains unclear. METHODS AND RESULTS: Among 4300 asymptomatic Korean participants aged 40-79 years, we investigated the risk of ASCVD by CHIP and the interplay between CHIP and conventional risk factors in ASCVD development. Additionally, we assessed changes in coronary arteries based on the presence of CHIP using coronary computed tomography angiography (CCTA). CHIP was present in 363 participants (8.4%), and its prevalence increased with age. Commonly mutated genes were DNMT3A, TET2, and ASXL1, in order. During the follow-up (median 4.7 years), 18 ASCVD cases (5.0%) were observed in CHIP carriers vs. 62 (1.6%) in non-carriers (P < 0.001), indicating an elevated risk of ASCVD associated with CHIP [adjusted hazard ratio (HR) 2.49; 95% confidence interval (CI) 1.45-4.29; P < 0.001]. Notably, with high levels of LDL cholesterol, CHIP enhanced the risk of ASCVD (adjusted HR 6.20; 95% CI 3.14-12.23; P < 0.001), demonstrating synergism between CHIP and LDL cholesterol levels (S-index 4.94; 95% CI 1.08-22.53; P = 0.039). Serial CCTAs confirmed that CHIP, in conjunction with high LDL cholesterol levels, had a significant early impact on coronary arteries, revealing new measurable coronary atherosclerosis, mainly with unstable plaque, in proximal lesions. CONCLUSION: The presence of CHIP was significantly associated with the risk of ASCVD, promoting the early stage of atherosclerosis through synergy with high LDL cholesterol in the general population.

In this cohort study of 4300 asymptomatic community-dwelling Korean adults, we demonstrated a detailed interplay between clonal haematopoiesis of indeterminate potential (CHIP) and conventional risk factors in the development of atherosclerotic cardiovascular disease (ASCVD).The presence of CHIP significantly increased the risk of ASCVD in the general population, displaying a notable synergistic effect with high levels of LDL cholesterol.Analyses of serial coronary computed tomography angiography scans revealed that CHIP, in conjunction with high LDL cholesterol levels, may contribute to the promotion of 'early' stage in coronary atherosclerosis, providing new insights into CHIP-associated atherosclerosis in the primary prevention.

Artificial Intelligence-Enabled Quantitative Coronary Plaque and Hemodynamic Analysis for Predicting Acute Coronary Syndrome.

BACKGROUND: A lesion-level risk prediction for acute coronary syndrome (ACS) needs better characterization. OBJECTIVES: This study sought to investigate the additive value of artificial intelligence-enabled quantitative coronary plaque and hemodynamic analysis (AI-QCPHA). METHODS: Among ACS patients who underwent coronary computed tomography angiography (CTA) from 1 month to 3 years before the ACS event, culprit and nonculprit lesions on coronary CTA were adjudicated based on invasive coronary angiography. The primary endpoint was the predictability of the risk models for ACS culprit lesions. The reference model included the Coronary Artery Disease Reporting and Data System, a standardized classification for stenosis severity, and high-risk plaque, defined as lesions with ≥2 adverse plaque characteristics. The new prediction model was the reference model plus AI-QCPHA features, selected by hierarchical clustering and information gain in the derivation cohort. The model performance was assessed in the validation cohort. RESULTS: Among 351 patients (age: 65.9 ± 11.7 years) with 2,088 nonculprit and 363 culprit lesions, the median interval from coronary CTA to ACS event was 375 days (Q1-Q3: 95-645 days), and 223 patients (63.5%) presented with myocardial infarction. In the derivation cohort (n = 243), the best AI-QCPHA features were fractional flow reserve across the lesion, plaque burden, total plaque volume, low-attenuation plaque volume, and averaged percent total myocardial blood flow. The addition of AI-QCPHA features showed higher predictability than the reference model in the validation cohort (n = 108) (AUC: 0.84 vs 0.78; P < 0.001). The additive value of AI-QCPHA features was consistent across different timepoints from coronary CTA. CONCLUSIONS: AI-enabled plaque and hemodynamic quantification enhanced the predictability for ACS culprit lesions over the conventional coronary CTA analysis. (Exploring the Mechanism of Plaque Rupture in Acute Coronary Syndrome Using Coronary Computed Tomography Angiography and Computational Fluid Dynamics II [EMERALD-II]; NCT03591328).