Nonfatal Myocardial Infarction Research Articles

The relationship between retinal vascular parameters measured by artificial intelligence and the risk of new-onset cardiovascular disease in a Chinese community-based population

Abstract Background Studies on the association between retinal vascular diameter and tortuosity and the risk of new-onset cardiovascular disease (CVD) are controversial. The predictive value of retinal vascular parameters, measured through artificial intelligence (AI), for incident CVD risk in the community population, remains to be explored. Objectives Our study aims to investigate the association between retinal vascular parameters (diameter and tortuosity) measured through AI, and the risk of new-onset CVD in the Chinese community-based population. Methods We conducted a prospective cohort study on subjects from a Beijing community in China who were free of prevalent stroke or myocardial infarction and underwent retinal photography at baseline. By deep-learning algorithm, quantitative retinal vascular parameters were measured 0.5 to 1 disc diameter from the optic disc margin, including central retinal arteriolar equivalent (CRAE), central retinal venular equivalent (CRVE), arteriolar-to-venular ratio (AVR), curvature tortuosity arteriole (cTORTa), and curvature tortuosity venule (cTORTv). The primary endpoint was a new-onset major adverse cardiovascular event (MACE), defined as a composite of cardiovascular death, first non-fatal stroke, and first non-fatal acute myocardial infarction (AMI). The secondary endpoints included cardiovascular death, first stroke, and first AMI. Cox proportional-hazards regression analyses were performed. Results A total of 3,585 participants were included. The mean age was 56.49 ± 8.94 years, and 2,335 (65.1%) were female. Prevalence of prior hypertension and diabetes was 1594 (44.5%) and 676 (18.9%), respectively. During the follow-up (median, 7.53 years), there were 293 cases of new-onset MACE (8.2%), 44 cardiovascular deaths (1.2%), 226 strokes (6.3%), and 57 AMIs (1.6%). The Kaplan–Meier curves showed significant differences in cumulative hazards of new-onset MACE among tertiles of CRAE, CRVE, AVR, and cTORTa, but not for cTORTv (Figure 1). In Cox proportional-hazards models (Figure 2) adjusting for covariates, CRAE was negatively associated with the risk of new-onset MACE (per 10 μm increase, hazard ratio [HR]=0.95, 95% confidence interval [CI]: 0.92-0.99, P=0.009) and the risk of new-onset stroke (per 10 μm increase, HR=0.96, 95%CI: 0.92-1.00, P=0.04). Similarly, AVR was negatively associated with new-onset MACE risk (per 0.1 increase, HR=0.82, 95%CI: 0.72-0.94, P<0.001) and new-onset stroke risk (per 0.1 increase, HR=0.84, 95%CI: 0.73-0.98, P=0.022). No significant associations were observed between CAVE, cTORTa, and cTORTv with any of the primary or secondary endpoints. Conclusions CRAE and AVR, measured through AI, are associated with the risk of new-onset MACE in the Chinese population. These findings suggest the potential for AI-measured parameters in retinal vasculature to aid in stratifying CVD risk in the general population.

The associations of triglyceride glucose and its derived indexes with 10-year cardiovascular disease risk in a Chinese community-based population

Abstract Background The triglyceride-glucose (TyG) index has been regarded as a reliable surrogate marker of insulin resistance and an independent predictor of cardiovascular outcomes. However, the associations of the derived TyG indexes with incident CVD risk are controversial, and that the relevant data are sparse for the Chinese population studies. Objectives We aimed to investigate the association of TyG index and its derived indexes with incident CVD risk and to compare their predictive capacity in the Chinese community-based population. Methods We conducted a prospective cohort study on subjects from a Beijing community in China who were free of prevalent stroke or myocardial infarction at baseline. The primary endpoint was a new-onset major adverse cardiovascular event (MACE), defined as a composite of cardiovascular death, first non-fatal stroke, and first non-fatal acute myocardial infarction. Cox proportional-hazards regression analyses and time-dependent receiver operator characteristic curve analyses were performed. Results A total of 8,806 participants were included. The mean age was 56.51 ± 8.93 years, and 5,679 (64.5%) were female. The median value of TyG index, TyG-BMI, TyG-WC, and TyG-WHtR were 8.71 (8.34-9.12), 226.37 (201.02-252.87), 720.80 (653.52-791.03), and 4.47 (4.07-4.90), respectively. During a mean 9.7-year follow-up, a total of 877 (10%) cases of MACE were recorded. The Kaplan–Meier curves showed significant differences in cumulative hazards of new-onset MACE among tertiles of abovementioned indexes (Log rank P < 0.0001) (Figure 1). Multivariable Cox regression analyses revealed that TyG index, TyG-BMI, TyG-WC, and TyG-WHtR were positively associated with the hazards of MACE. Compared with tertile 1, the multivariable adjusted HRs (95% CIs) of incident CVD for tertile 3 were 1.26 (1.01-1.56), 1.57 (1.15-2.14), 1.54 (1.19-2.00), and 1.81 (1.40-2.33) for TyG, TyG-BMI, TyG-WC, and TyG-WHtR, respectively (Figure 2). There are no significant differences in the Harrell's C indexes among the various indexes compared to the TyG index (TyG index: 0.758 [0.743-0.774], TyG-BMI: 0.758 [0.743-0.773], TyG-WC: 0.758 [0.743-0.774], and TyG-WHtR: 0.760 [0.745-0.775]). Conclusions Higher TyG and its derived indexes are significantly associated with an increased risk of 10-year MACE. Our results suggest that TyG and its derived indexes may serve as a useful marker for stratifying CVD risk in the general population.

OptiHeart: determinants and prognostic importance of optimal medical treatment in patients with heart failure discharged from the heart failure clinic

Abstract Background Heart failure (HF) is an increasing health problem globally. Current guidelines are based on studies with primarily male patients. Females are less likely to receive target dose of HF medication as recommended by the clinical guidelines. The reason for this is uncertain, but it has led to the question whether females might not need as high dosages as the males to achieve the beneficial effects of the HF medication. Aim To assess baseline predictors for achieving optimal medical treatment (OMT) and the prognostic importance of OMT for male and female patients who have attended a HF clinical program (HFCP). Methods OPTIHEART included 870 patients with left ventricular ejection fraction (LVEF) <45% leaving HFCP in 2018, 2019 or 2020 and followed in registers for a mean of 1083(SD 11.3) days. OMT was defined as receiving an angiotensin-converting-enzyme-inhibitor (ACEi), angiotensin-receptor blocker (ARB) or angiotensin-II-receptor blocker and nephrylisin-inhibitor (ARNI) AND a betablocker both in doses > 50% of target dose. Association between baseline data at referral and OMT at end of HFCP were calculated using logistic regression. The association between OMT and a 5-point Major Adverse Cardiovascular Event (a 5-Point MACE consisting of cardiovascular mortality, non-fatal acute myocardial infarction, non-fatal stroke, coronary revascularization, worsening of heart failure (both hospitalisation and re-referral to HFC)), were calculated and adjusted for other cardiovascular risk factors using multiple Cox-regression analyses. Results Achieving OMT was associated with male sex (OR: 2.05 95%CI 1.44-2.97; P<0.0001) independently of younger age, higher diastolic blood pressure (DBP), and lower creatinine at referral. A lower rate of 5-point MACE was associated achieved OMT (HR: 0.67 95%CI 0.50-0.89; P=0.006) independently of female sex (HR: 0.62 95%CI 0.47-0.82; P=0.002), younger age, never smoking and NYHA≤2. The beneficial effect of OMT was more pronounced in patients with BMI<26.5kg/m2 (HR=0.41[0.23-0.72] vs. HR=0.84[0.58-1.21], Pinteraction= 0.02), and insignificantly more pronounced in patients with male sex, older age, higher creatinine, and lower DBP. Conclusion OMT was more frequently achieved in patients with male sex independently of lower age, higher DBP, and lower creatinine. Achieving OMT was associated with less 5-point MACE independently of female sex, younger age, never smoking and NYHA≤2 and especially in patients with BMI<26.5kg/m2.Hazard RatioMedical treatment

A multi-center retrospective cohort analysis of age and racial disparities in patients undergoing repeat ablation for recurrent atrial fibrillation

Abstract Introduction Atrial fibrillation (AF) is the most common type of cardiac arrhythmia, and its prevalence has been increasing worldwide. Current data shows that AF is more common in white males compared to blacks despite blacks having multiple cardiovascular comorbidities. There is paucity of data showing the recurrence of AF re-ablation after index ablation specifically as it pertains to race, gender, and age. We sought to explore the rates of recurrent AF re-ablation in this retrospective cohort analysis. Methods Using a multi-center database, we examined 23,558 encounters and 10,530 had readmission records i.e. readmitted within 3 years. The encounters included adults (18+) who had an ablation procedure for atrial fibrillation between 1/1/2018-06/30/2020. We used binary logistic regression models and Tukey-Kramer procedure to analyze pairwise comparisons among different subgroups of race, sex, and age group. The primary endpoint was recurrence of repeat ablation. Secondary endpoints included non-fatal stroke and myocardial infarction. Results Our sample size was 23,558 patients, 20,276 were white patients (86%) and 3,282 were non-white patients (14%). The average age was 66.29 years (SD 10.43) and average age at the time of repeat ablation was 65.97 years. The average BMI was 21.55. Out of the 23,558 patients, 14.30% (N= 3368) had re-ablation within 3 years of the index ablation. The odds ratio of re-ablation for patients in their 50s is 1.4229 (95% CI [1.1172, 1.8122]) compared to patients in their 80s. Similarly, the odds ratio is 1.4330 (95% CI [1.1466, 1.7909]) for the 60-69 group, 1.3075 (95%CI [1.0458, 1.6346]) for the 70-79 group and 1.3443 (95% CI [1.0088, 1.7914]) for patients below 50 compared to over 80 group. The LR for re-ablation was 0.8438 (p=0.3583) in females. The incidence of non-fatal stroke and MI were 0.27% (N= 63) and 0.19% (N= 45). Average length of time to re-ablation was 415.5 days. Discussion When controlling for age group and sex, race was not significantly associated with an increased likelihood of repeat ablation. When controlling for race and age group, sex was not significantly associated with an increased likelihood of repeat ablation. When controlling for race only, females were not at a higher risk of re-ablation. However, when controlling for race and sex, patients in their 50s are 42.3% more likely to have re-ablation when compared to patients in their 80s. In contrast, the age of patients at their first ablation increased, there appeared to be a rising trend indicating a higher chance of AF recurrence within 3 years when controlling for race and sex. Conclusion The incidence of repeat AF ablation is not higher in racial minorities when compared to whites. Interestingly, there appears to be an decreasing rate of AF re-ablation in older patients despite a higher rate of AF recurrence as age increases possibly owing to more conservative therapeutic approach such as medical management.

Obesity paradox, weight-free anthropometric measures, and major adverse cardiovascular events in the elderly: Insight from the Northern Shanghai Study

Abstract Aims Many studies have investigated the obesity paradox in the elderly. However, besides body mass index (BMI), many other anthropometric measures, such as the waist-to-hip ratio (WHR), provide a better indication of body fat distribution and may be more useful in a geriatric population. Methods 3285 participants aged over 65 years old from the Northern Shanghai Study were included in this analysis. Eight anthropometric measures, including weight-related measures (BMI, weight-adjusted-waist index, body shape index and body surface area) and weight-free measures (WHR, waist-to-height ratio, body roundness index, relative fat mass) were measured and calculated with standard methods. Major adverse cardiovascular events (MACEs) included the non-fatal myocardial infarction, non-fatal stroke or cardiovascular death. Results Participants had an average age of 71.4 years and 1428 (43.47%) were men. The median follow-up was 5.4 years (IQR, 4.4-7.3 years) and 218 events occurred. Participants with obesity (BMI ≥ 28 kg/m2) were associated with a higher risk of MACEs compared with the normal (adjusted Hazard ratio = 1.54, 95% confidence interval (CI): 1.07-2.22, P=0.020). Restricted cubic splines also highlighted the robust correlation between high BMI and high MACEs risk (Pfor overall=0.025, Pfor nonlinear=0.339). Similarly, the aHR for the incidence of MACEs in WHR quartile 4 versus quartile 1 was 1.96 (95% CI: 1.26-3.05, P=0.003). When WHR was examined as a continuous variable, the result remained unaltered (Pfor overall=0.020, Pfor nonlinear=0.353). In adjusted model, all four weight-free measures were significantly associated with increased risk of MACEs (all P<0.05), while only two weight-related measures were related to the risk of MACEs. Conclusion In the elderly, BMI and alternative anthropometric measures showed no evidence of an "obesity paradox". Weight-free measures were more relevant to a risk of MACEs.Take home message

The clinical characteristics and prognosis of patients with acute ST-segment elevation myocardial infarction complicated with impaired activity daily living

Abstract Background Previous studies have indicated that activities of daily living (ADL) can influence the prognosis of patients with acute myocardial infarction. The purpose of this study is to delineate the clinical characteristics, treatment regimens, and prognosis of patients with acute ST-segment elevation myocardial infarction (STEMI) who have impaired ADL. Methods The data for this study were derived from a Health and Medical Big Data Superplatform, comprising a retrospective cohort of patients admitted to and discharged from 72 secondary and tertiary hospitals from 2010 to 2023. The inclusion criteria encompassed patients with a discharge diagnosis of STEMI.ADL prior to STEMI was evaluated using the Barthel index(BI),a widely used assessment tool for evaluating ADL.The patients' BI were obtained from their resident health records.Patients were categorized into two groups: ADL normal group and ADL impaired group. A comparative analysis was conducted between the two groups regarding clinical characteristics, treatment regimens, and prognosis. Results This study included 24,906 STEMI patients with normal ADL and 1,002 STEMI patients with impaired ADL. Baseline data revealed that patients in the ADL impaired group had a higher proportion of females (43.0% vs. 37.8%, p=0.001), were older (74.0[64.0,81.0] vs. 69.0[65.0,75.0], p<0.001), and had a higher proportion of Killip III and above (24.30% vs. 14.10%, p<0.001). Additionally, the ADL impaired group had a higher prevalence of comorbidities. In terms of treatment, the ADL impaired group had lower proportions of patients undergoing percutaneous coronary intervention (PCI) (43.8% vs. 65.3%, p<0.001) and primary PCI (PPCI) (36.4% vs. 55.1%, p<0.001). Additionally, the ADL impaired group exhibited lower utilization rates of antiplatelet drugs, ACEI/ARB, beta-blockers, ARNI, and statins, but higher rates of diuretics and cardiac glycosides. Regarding prognosis, the ADL impaired group had a higher in-hospital mortality rate (5.69% vs. 2.89%, p<0.001). The median follow-up time was 1,220 days. In the ADL impaired group, the rates of all-cause mortality (52.0% vs. 24.7%, p<0.001), cardiovascular mortality (37.3% vs. 17.3%, p<0.001), recurrent non-fatal myocardial infarction (11.1% vs. 8.30%, p=0.002), and recurrent stroke (11.9% vs. 8.66%, p=0.001) were higher. However, the rate of revascularization was lower in the ADL impaired group (6.69% vs. 9.20%, p=0.008), and the risk of cerebral hemorrhage showed no significant difference (1.00% vs. 0.81%, p=0.631). In a multivariate Cox regression analysis adjusting for age, gender, Killip, medical history, and treatment strategies, impaired ADL remained an independent risk factor for increased all-cause mortality (aHR 1.309, 95% CI: 1.195-1.434, p<0.001). Conclusions Impairment of ADL is associated with adverse clinical outcomes in patients with STEMI.Baseline characteristics of patientsMedications of patients

Measuring only sitting blood pressure without considering supine blood pressure underestimates cardiovascular risk in the elderly

Abstract Background and Objective Elderly individuals exhibit greater variability in blood pressure (BP) readings between sitting and supine positions. Nocturnal hypertension (supine position) is closely associated with cardiovascular diseases and mortality. However, the relationship between supine BP and cardiovascular risk remains unclear. This study aims to investigate the association between the occurrence of major adverse cardiovascular events (MACEs) with BP in sitting and supine positions. Methodologies A total of 3363 participants aged 65 years or older from the Northern Shanghai Study were included. Each participant is given 3 consecutive sitting SBP readings (SBP1, SBP2, SBP3) at 2-minute intervals, we then calculated the SBP1-2 (average of SBP1 and SBP2), SBP2-3 (average of SBP2 and SBP3), SBP1-2-3 (average of SBP1, SBP2 and SBP3). we also collected two supine BP readings (S-SBP1, S-SBP2). Kaplan-Meier and Cox proportional hazard regression were used to investigate the association of sitting and supine BP with MACEs (composite of nonfatal myocardial infarction, nonfatal stroke, or death). Results The mean age of participants was 71.5 years, and 1467(43.6%) were men. After a median of 6.4-year follow-up, a total of 362 events were recorded. Among 3 successive BP readings, SBP2-3 had strongest association with MACEs incidence (hazard ratio, 1.12 [1.00-1.26] per SD). Multiple cox proportional hazard regression showed supine BP had significant value in predicting MACEs, acute myocardial infarction (AMI) and mortality compared to sitting BP. Kaplan-Meier revealed significant differences in MACEs rates among participants without hypertension (HTN) in both sitting and supine positions, with HTN in both positions, or those with HTN in either position (Log rank P < 0.01). Compared to participants without HTN in both sitting and supine positions, those with HTN in both positions had a 1.4-fold (hazard ratio,1.40[1.08-1.82]) higher risk of MACEs and 2-fold (hazard ratio,2.01[1.24-3.26]) higher risk of stroke. Conclusion Supine BP measurements are more valuable than sitting BP in predicting MACEs in elderly individuals. Hypertension in both positions significantly increases the risk of MACEs. Taken together, supine BP may also need to be emphasized in the elderly.central illustration

Advancing prognostic insights in STEMI patients through microvascular resistance reserve evaluation

Abstract Background Coronary microvascular dysfunction (CMD) after ST-Elevation Myocardial Infarction (STEMI) is associated with persistent symptoms and poor outcomes. Microvascular Resistance Reserve (MRR) is an innovative metric for evaluating coronary microvasculature that is unaffected by epicardial stenoses or the hemodynamic impact of vasodilators. While MRR's prognostic ability is recognized in chronic coronary syndrome, its application in ACS remains unestablished. Purpose We sought to investigate the prognostic value of MRR in STEMI patients. Methods This is a prospective study of 210 STEMI patients with multivessel disease who had undergone successful primary percutaneous coronary intervention (PCI). At 3 months follow-up, they returned for complete revascularization and coronary physiology evaluations, including coronary flow reserve (CFR), fractional flow reserve (FFR), and index of microcirculatory resistance (IMR), using bolus thermodilution. MRR was calculated using the formula: MRR = (CFR/FFR) × (Pa rest/Pa hyper), where Pa rest and Pa hyper represent resting and hyperemic aortic pressure, respectively1. We utilized an MRR cutoff of 3.0 based on Boerhour et al. The association between MRR and major adverse cerebrocardiovascular events (MACCE) at 12-month follow-up, defined as the composite of stroke, revascularization, myocardial infarction (MI), heart failure hospitalization, and death, was investigated. Results The median age was 65 years, and 40.48% were female. At a 3-month follow-up, 27% (56 patients) exhibited MRR <3.0, who were predominantly female (62.50% vs 32.47%, p<0.001) with a higher incidence of diabetes (39.29% vs 18.83%, p = 0.004). No significant differences were observed in age, body mass index, or STEMI location (anterior or inferior) when comparing between MRR groups. The MACCE-free survival at 12 months was significantly lower in patients with an MRR < 3.0 (48.2%) compared to those with an MRR ≥ 3.0 (11.0%; log-rank p < 0.001, Fig1A). The MRR < 3.0 group showed higher rates of ischemic stroke (8.93% vs. 1.30%, p = 0.022) and hospitalization for heart failure (21.43% vs. 2.60%, p < 0.001), while the incidence of nonfatal myocardial infarction (MI) and cardiovascular death were similar between the two MRR groups (Figu1B). In multivariable Cox regression analysis, MRR was an independent predictor for 12-month MACCE (Hazard Ratio 0.45 per unit increase, 95% Confidence Interval 0.31-0.67, p<0.001). The areas under the receiver operating characteristic curves for predicting 12-month MACCE using FFR, CFR, IMR, and MRR yielded values of 0.609, 0.762, 0.781, and 0.743, respectively (Fig2). The prognostic performances of CFR, IMR, and MRR were similar and superior to that of FFR. Conclusion This study establishes the novel parameter MRR as a superior prognostic indicator in STEMI patients compared to FFR, and on par with CFR and IMR. MRR is a reliable predictor of MACCE, and various clinical incidents post-STEMI.

Prognostic value of diffuse high-risk plaque in patients with acute myocardial infarction: a three-vessel optical coherence tomography study

Abstract Background Existing evidence has identified that high-risk plaque (HRP) characterized by a thin-cap fibroatheroma and/or a minimal lumen area ≤ 3.5 mm² were indicative of future cardiovascular events. Diffuse coronary artery disease also contributes to the poor prognosis. Purpose The present study aims to assess the prognostic value of diffuse HRP in patients with acute myocardial infarction (AMI) by using three-vessel optical coherence tomography (OCT). Methods A total of 674 patients with AMI who underwent OCT examination of three major epicardial arteries between January 2017 and December 2018 were consecutively studied. Among 2843 nonculprit lesions detected by OCT, 1375 (48.4%) HRPs were identified and divided into diffuse HRP group (lesion length >20mm, n=443) and focal HRP group (lesion length ≤20mm, n=932). Patients were followed up for a median period of 5 years. Major adverse cardiovascular event (MACE) was defined as the composite of cardiac death, nonculprit lesion-related nonfatal myocardial infarction, and unplanned coronary revascularization. Results The average age of all enrolled patients is 56.7±11.4 years, with 74.9% of male. As compared with focal HRP group, diffuse HRP group had longer lesion length [25.8(23.0,30.8) mm vs. 13.2(9.8,16.1) mm, P<0.001], longer lipid length [18.6(12.3,24.9) mm vs. 7.0(4.5,10.5) mm, P<0.001], and thinner minimal fibrous cap thickness [73.3(53.3,106.7) μm vs. 93.3(60.0,130.0) μm, P<0.001], whereas mean lipid arc was comparable between the two groups. The prevalence of nonculprit plaque rupture (14.2% vs. 7.8%, P<0.001) was significantly higher in diffuse HRP group than that in the focal HRP group. Nonculprit lesions in diffuse HRP group had higher incidence of macrophage accumulation, microvessels, cholesterol crystals, calcification, and layered plaque phenotype than those in focal HRP group (all P<0.001). The incidence of nonculprit lesion-related MACE was 4.7% in diffuse HRP group and 1.7% in focal HRP group [HR: 3.155, 95% confidence interval: 1.579 to 6.301, P=0.002]. Conclusions In patients with AMI, diffuse HRP at nonculprit segment has higher levels of plaque vulnerability and is predictive of future adverse cardiovascular events. Further studies are warranted to investigate the individual treatment strategy of diffuse and focal HRP.Figure 1.Nonculprit plaque vulnerabilityFigure 2.MACE

Machine learning model using cardiovascular magnetic resonance to predict cardiovascular events in asymptomatic patients with known CAD

Abstract Background Despite declining rates, recurrent cardiovascular events continue to pose significant mortality and morbidity risks in patients with obstructive coronary artery disease (CAD). Traditional prognostic assessments in these patients rely on limited clinical and imaging data. Although several studies have shown the strong prognostic value of stress cardiovascular magnetic resonance (CMR) in asymptomatic patients with known CAD, no dedicated score using CMR was established. Machine learning (ML) methods present an opportunity to leverage a wider array of variables to address this gap. Purpose This study sought to investigate the feasibility and accuracy of ML using stress CMR and clinical data to predict major adverse cardiovascular events (MACE) over a 10-year period in patients with known obstructive CAD, comparing its performance with traditional statistical methods. Methods Between 2009 and 2011, consecutive asymptomatic patients with known obstructive CAD referred for vasodilator stress CMR in two independent centres were followed for the occurrence of MACE defined by cardiovascular mortality or recurrent non-fatal myocardial infarction (MI). Known obstructive CAD was defined by a history of percutaneous coronary intervention, coronary artery bypass surgery, or MI. The first center (N=866) was designated as the derivation cohort for variable selection and model building. The second center (N=224) was used as the validation cohort to evaluate the performance of the final ML-model. Various feature selection methods (Random Forest [RF], XGBoost, and Boruta) were employed to identify robust and informative variables. A final RF model was trained on the derivation cohort and evaluated on the validation cohort. Performance was compared with a standard generalized logistic regression model (GLM), utilizing the receiver operating characteristics (ROC) and the precision-recall (PR) curves as well as the area under the curves (AUC). Results In the derivation cohort (age 67±7 years, LVEF 43±8%, 81% male), 243 (28%) out of 866 patients encountered MACE during the 10-year follow-up period while in the validation cohort (age 67±7 years, LVEF 43±7%, 84% male), 53 (24%) out of 224 patients experienced MACE. Through feature selection method in the derivation cohort, one clinical and four CMR variables emerged as key predictors: number of ischemic segments, number of late gadolinium enhancement (LGE) segments, left ventricular ejection fraction, left ventricular end-diastolic diameter indexed, and age (Figure 1). Using those 5 variables, the RF model significantly outperformed the GLM, demonstrating superior predictive accuracy (AUROC: 0.89 vs. 0.73; PRAUC: 0.78 vs. 0.58, all p<0.001) in the validation cohort (Figure 2). Conclusions A supervised machine learning model using RF, integrating age and stress-CMR data, outperformed traditional statistical methods in predicting 10-year MACE for asymptomatic patients with known CAD.Figure1:Variable selectionFigure2:Models performance on validatio

The clinical characteristics and prognosis of patients with acute non-ST-segment elevation myocardial infarction complicated with impaired activity daily living

Abstract Background Impaired activities of daily living (ADL) have been identified as an independent risk factor for cardiovascular diseases. This study aims to describe the clinical characteristics, treatment modalities, and prognosis of acute non-ST-segment elevation myocardial infarction (NSTEMI) patients with impaired ADL. Methods The data for this study were derived from a Health and Medical Big Data Superplatform, comprising a retrospective cohort of patients admitted to and discharged from 72 secondary and tertiary hospitals from 2010 to 2023. The inclusion criteria encompassed patients with a discharge diagnosis of NSTEMI.ADL prior to NSTEMI was evaluated using the Barthel index(BI),a widely used assessment tool for evaluating ADL.The patients' BI were obtained from patients’ resident health records, and patients were categorized into two groups: ADL normal and ADL impaired group. A comparative analysis was conducted between the two groups regarding clinical characteristics, treatment regimens, and prognosis. Results The study included 28,227 NSTEMI patients with normal ADL and 1,576 NSTEMI patients with impaired ADL. Baseline data revealed that the ADL impaired group had a higher proportion of females (49.4% vs. 43.2%, p < 0.001), older age (77.0 [69.0, 83.0] vs. 71.0 [66.0, 78.0], p < 0.001), and a higher proportion of patients with KILLIP III and above (25.86% vs. 17.44%, p < 0.001). Additionally, the ADL impaired group had a greater number of pre-existing comorbidities. Regarding treatment, the proportion of patients undergoing percutaneous coronary intervention (PCI) was significantly lower in the ADL impaired group (16.5% vs. 65.3%, p < 0.001). Moreover, the ADL impaired group showed lower utilization rates of antiplatelet agents, ACEI/ARBs, beta-blockers, ARNI, statins, and nitrates, while the utilization rates of diuretics and cardiac glycosides were higher. In terms of prognosis, the ADL impaired group exhibited a higher in-hospital mortality rate (6.03% vs. 3.35%, p < 0.001). During a median follow-up period of 876 days, the ADL impaired group had significantly higher rates of all-cause mortality (61.2% vs. 35.9%, p < 0.001) and cardiovascular mortality (41.8% vs. 24.8%, p < 0.001), while the rate of revascularization (6.69% vs. 9.20%, p = 0.008) was lower. There were no significant differences in the risks of recurrent non-fatal myocardial infarction (10.7% vs. 10.8%, p = 0.935), recurrent stroke (10.90% vs. 9.48%, p = 0.08), and hemorrhagic stroke (0.82% vs. 0.74%, p = 0.806). Following adjustment for age, gender, KILLIP classification, medical history, and treatment strategies in a multivariable Cox regression analysis, impaired ADL remained an independent risk factor for increased all-cause mortality (aHR 1.167, 95%CI: 1.091-1.249, p < 0.001). Conclusions The decline in ADL is significantly associated with adverse clinical outcomes among NSTEMI patients.Baseline characteristics of patientsMedications of patients

Exploring the effects of reduced alcohol consumption on major adverse cardiovascular and cerebrovascular events in chronic heavy drinkers: a nationwide population-based cohort study

Abstract Background/Introduction Chronic heavy alcohol consumption is a well-established risk factor for cardiovascular disease (CVD), and the potential cardiovascular benefits of mild to moderate alcohol consumption need validation, particularly in the context of behavioral change from heavy drinking. Currently, there is a lack of research examining the potential benefits of reduced alcohol consumption in chronic heavy drinkers, specifically in relation to different subtypes of CVD. We hypothesized that habitual changes in alcohol consumption among chronic heavy drinkers would have a long-term prognostic effect on future CVD outcomes. Purpose We investigated the association between reduced alcohol consumption and the risk of major adverse cardiovascular and cerebrovascular events (MACCE) in chronic heavy drinkers. Methods From the Korean National Health Insurance Service-Health Screening database, we included a cohort of chronic heavy drinkers who underwent serial health examinations over two consecutive time-periods (first period: 2005–2008; second period: 2009–2012). Heavy drinking was defined according to the National Institute on Alcohol Abuse and Alcoholism criteria as >56 g/day or >196 g/week for men, and >42 g/day or >98 g/week for women. Overall, 13,854 heavy drinkers at baseline (mean age 55.84 ± 5.98 years; 91.6 % men) were categorized into two groups based on the alcohol consumption changes in the second period: sustained heavy drinking (n=9,403; 67.9%) or reduced drinking (n=4,451; 32.5%). The primary outcome was MACCE, a composite of nonfatal myocardial infarction or angina undergoing revascularization, any stroke accompanied by hospitalization, and all-cause death during follow-up. Results In this nationwide population-based cohort study, during a total follow-up of 107,102 person-years, the sustained heavy drinking group experienced a significantly higher incidence of MACCE than the reduced drinking group (incidence rate, 825 vs. 655 per 100,000 person-years; log-rank p=0.004). Reduced alcohol consumption was associated with a 28% lower risk of MACCE compared to sustained heavy drinking (adjusted-hazard ratio [HR]: 0.780, 95% confidence interval [CI] 0.656–0.928). These benefits were mostly driven by a significant reduction in the incidence of angina (adjusted-HR: 0.631, 95% CI 0.425–0.926) and ischemic stroke (adjusted-HR: 0.657, 95% CI 0.472–0.914). The preventive effects of reduced alcohol intake were consistently observed across various subgroups of heavy drinkers, except for smoking status (p-interaction=0.015) and even after including abstainers in the sensitivity analysis. Conclusion Reduced alcohol consumption in heavy drinkers could lower the future risk of CVD, with the most pronounced benefits expected for stable/unstable angina and ischemic stroke. Further research is warranted to explore the optimal strategies for promoting sustained reductions in alcohol intake.Cumulative MACCE incidence curves

Identifying clinical phenotype clusters for coronary artery disease: a novel approach using clustering by unsupervised machine learning

Abstract Background Guideline recommendations for the prevention of cardiovascular (CV) events in patients with coronary artery disease (CAD) are one-size-fits-all. Clinically identifiable phenotypes needing specific considerations might exist. Purpose To identify phenotypes in patients with CAD based on clinical characteristics and their relationship with the risk of new CV events and treatment benefits. Methods Unsupervised machine learning through latent class analysis (LCA) was performed on patients with CAD included in the UCC-SMART cohort (n = 5,888) and SWEDEHEART registry (n = 67,428), to identify patient clusters (i.e., phenotypes) based on clinical characteristics: age, sex, body-mass-index, diastolic blood pressure, history of diabetes, myocardial infarction, atrial fibrillation, polyvascular disease, current smoking, non-high density lipoprotein cholesterol, estimated glomerular filtration rate, and C-reactive protein. Number of clusters was determined using the Bayesian information criterion. Event free survival and hazard ratios (HR) for major adverse cardiovascular events (MACE) as primary endpoint, including non-fatal myocardial infarction, non-fatal stroke, and cardiovascular death, were estimated per cluster. The LCA were performed in each respective cohort and cross-validated in the other cohort to assess impact of variations in clustering variables on cluster reproducibility. In UCC-SMART, bootstrapping was performed the assess stability of the LCA model and impact on cluster assignment. Results In UCC-SMART four distinct phenotypes within the CAD population could be distinguished: Phenotype A (16%) of mostly males with isolated CAD, phenotype B (30%) of older patients with polyvascular disease, Phenotype C (28%) of only women with limited traditional risk factors and Phenotype D (27%) young, current smokers with a premature event (Figure 1). Cross-validation in SWEDEHEART identified roughly the same four phenotypes, i.e., phenotype A (39%) with 100% males and 3.8% polyvascular disease, phenotype B (8%) with average age of 71 years and 30% polyvascular disease, phenotype C (19%) with 100% women, and phenotype D (34%) 54 years and 25% current smokers. Notably, although age was comparable between phenotype A and C, MACE-free survival was worse for the female-only cluster. Similarly, although patients where on average 9 years younger in phenotype D when compared to phenotype A, MACE-free survival was worse (Figure 2). No significant changes in clustering models were observed in the bootstrap samples. Conclusion Phenotypes can be distinguished within patients with CAD. These phenotypes are related to differences in the risk of recurrent events. These findings suggest that specific guideline recommendations for these groups could be considered.Cluster interpretation in SMARTSurvival along cluster lines

Body weight variability as a predictor of cardiovascular outcomes in type 1 diabetes: A nationwide cohort study.

Intraindividual body weight variability (BWV), that is, the degree of weight fluctuations over time, is associated with an increased risk of cardiovascular diseases (CVDs) in multiple settings. The impact of BWV on cardiovascular risk in type 1 diabetes (T1D) remains unclear, despite the issues relative to weight management in individuals with this condition. Using data from the Swedish National Diabetes Register, we identified individuals with T1D and without CVD at baseline with at least three measurements of body weight taken over three consecutive years. We estimated BWV as quartiles of the standard deviation of weight measures and explored its longitudinal association with the incidence of CVD during a 12.7 ± 4.6 year follow-up through adjusted Cox regression models. The primary endpoint was the composite of nonfatal myocardial infarction, nonfatal stroke and all-cause mortality. We modelled the function of risk in relation to the magnitude of BWV, testing also whether weight trends, that is, increasing, stable or decreasing, age, sex and glycaemic control modified the association between BWV and the outcome. Among the 36 333 individuals with T1D in the register, we identified 19 373 individuals with at least three measures of body weight and without CVD at baseline. Participants with the highest BWV had a 42% increased risk of reaching the primary endpoint compared to those with the lowest BWV (hazard ratio [HR] = 1.42, 95% confidence interval [CI]: 1.24-1.62). In addition, high BWV was significantly associated with a 51% increased risk of all-cause mortality (HR = 1.51, 95% CI: 1.28-1.78), a 37% increased risk of peripheral artery disease (HR = 1.37, 95% CI: 1.06-1.77) and a 55% increased risk of hospitalization for heart failure (HR = 1.55, 95% CI: 1.20-2.01). BWV showed a quasi-linear association with the primary endpoint. No interaction was observed when comparing subgroups for weight trends, sex or degree of glycaemic control. In the subgroup of elderly individuals, the association of BWV with the primary endpoint was no longer significant. High BWV is associated with an increased risk of CVD and all-cause mortality in individuals with T1D, independently of canonical risk factors. Weight trends, sex and glycaemic control do not modify such association while older age attenuates it.

Long-term outcomes and operators' experience in primary percutaneous coronary intervention for ST-segment elevation myocardial infarction.

Primary percutaneous coronary intervention (pPCI) for ST-segment elevation myocardial infarction (STEMI) is typically performed by experienced operators. Therefore, the safety of pPCI for STEMI performed by less experienced operators with the support of experienced operators remains unknown. We aimed to investigate the long-term outcomes of pPCI for STEMI performed by less experienced operators with the support of experienced operators. In total, 775 STEMI patients were enrolled and divided into groups according to operator experience in PCI: less experienced (n = 384) and experienced (n = 391) operator groups. Experienced operators were defined as those who had performed > 50 elective PCI procedures per year as the first operator or instructional assistant, whereas less experienced operators were defined as others. When less experienced operators performed the pPCI, experienced operators supported them. The primary endpoint was any cardiovascular event, defined as a composite of cardiovascular death, nonfatal myocardial infarction, and unplanned hospitalization for heart failure. In the propensity score-matched analysis, 324 patients were included in each group. The cumulative incidence of the primary endpoint over a median of 5years in the less experienced operator group was similar to that in the experienced operator group (15% vs. 18%, P = 0.209). In the multivariate Cox proportional hazards model, there was no excess risk for patients operated upon by less experienced operators for the primary endpoint (adjusted hazard ratio, 0.85; 95% confidence interval, 0.58-1.25; P = 0.417). pPCI for STEMI by less experienced operators did not increase the risk of in-hospital mortality or 5-year long-term cardiovascular events if supported by experienced operators.

Intermittently scanned continuous glucosemonitoring compared with blood glucose monitoring is associated with lower HbA1c and a reduced risk of hospitalisation for diabetes-related complications in adults with type 2 diabetes on insulin therapies.

We assessed the impact of initiating intermittently scanned continuous glucose monitoring (isCGM) compared with capillary blood glucose monitoring (BGM) on HbA1c levels and hospitalisations for diabetes-related complications in adults with insulin-treated type 2 diabetes in Sweden. This retrospective comparative cohort study included adults with type 2 diabetes who had a National Diabetes Register initiation date for isCGM after 1 June 2017. Prescribed Drug Register records identified subgroups treated with multiple daily insulin injections (T2D-MDI) or basal insulin (T2D-B), with or without other glucose-lowering drugs. The National Patient Register provided data on hospitalisation rates. We identified 2876 adults in the T2D-MDI group and 2292 in the T2D-B group with an isCGM index date after 1 June 2017, matched with 33,584 and 43,424 BGM control participants, respectively. The baseline-adjusted difference in the change in mean HbA1c for isCGM users vs BGM control participants in the T2D-MDI cohort was -3.7 mmol/mol (-0.34%) at 6 months, and this was maintained at 24 months. The baseline-adjusted difference in the change in HbA1c for isCGM users vs BGM control participants in the T2D-B cohort was -3.5 mmol/mol (-0.32%) at 6 months, and this was also maintained at 24 months. Compared with BGM control participants, isCGM users in the T2D-MDI cohort had a significantly lower RR of admission for severe hypoglycaemia (0.51; 95% CI 0.27, 0.95), stroke (0.54; 95% CI 0.39, 0.73), acute non-fatal myocardial infarction (0.75; 95% CI 0.57, 0.99) or hospitalisation for any reason (0.84; 95% CI 0.77, 0.90). isCGM users in the T2D-B cohort had a lower RR of admission for heart failure (0.63; 95% CI 0.46, 0.87) or hospitalisation for any reason (0.76; 95% CI 0.69, 0.84). This study shows that Swedish adults with type 2 diabetes on insulin who are using isCGM have a significantly reduced HbA1c and fewer hospital admissions for diabetes-related complications compared with BGM control participants.

Risk-enhancing factors and social determinants of health in risk assessment for atherosclerotic cardiovascular disease.

The Pooled Cohort Equations (PCEs) do not accurately estimate atherosclerotic cardiovascular disease (ASCVD) risk in certain populations. The 2018 AHA/ACC cholesterol guideline identified risk-enhancing factors as a supplement to PCEs-based risk assessment. However, the role of each risk-enhancing factor in ASCVD risk assessment has not been well quantified. Further, social determinants of health (SDOH) are not included in the PCEs nor considered as risk-enhancing factors in the US cholesterol guideline. We sought to evaluate ASCVD risk associated with each risk-enhancing factor and commonly collected SDOH including education, income, and employment status, and to assess if adding risk-enhancing factors and SDOH to the PCEs improve ASCVD risk prediction. We included individuals aged 40 to 75 years, without ASCVD or diabetes at baseline, and with low-density lipoprotein cholesterol 70-189 mg/dL from two contemporary prospective cohort studies (MESA and REGARDS) and from Kaiser Permanente Southern California (KPSC). The primary endpoint was incident ASCVD defined as nonfatal myocardial infarction, fatal coronary heart disease, or fatal or nonfatal stroke over a 10-year period (median follow-up 10 years). We used Cox proportional hazards models to estimate associations between risk-enhancing factors and SDOH with ASCVD. We also assessed changes in model performance after adding risk-enhancing factors and SDOH to the PCEs. We included 13,863 adults (mean age 60.7 years) from the prospective cohorts and 307,931 adults (mean age 54.8 years) from KPSC. Risk-enhancing factors including hypercholesterolemia, hypertriglyceridemia, metabolic syndrome, and chronic kidney disease were associated with a higher ASCVD risk, independent of 10-year risk estimated by the PCEs. Low education, low income, and unemployment were also associated with higher ASCVD risk. While adding individual risk-enhancing factors or SDOH to the PCEs had limited impact on model performance, adding multiple risk-enhancing factors and SDOH simultaneously led to modest improvements in discrimination (C-index increased by up to 0.07), calibration (integrated Brier score reduced by up to 2.3%), and net reclassification improvement up to 41.4%. These findings suggest including SDOH and risk-enhancing factors may improve ASCVD risk assessment.

A comparison of the management and five-year outcomes of patients treated for chronic coronary syndrome between 2006-2007 and 2015-2016 - insights from the PRESAGE registry.

Changes in the management of patients with chronic coronary syndromes (CCS) require continuous monitoring of results of treatment in daily clinical practice. The present study contains a comparison of the clinical characteristics, management, and in-hospital and five-year outcomes of patients with CCS enrolled on the Prospective REgistry of Stable AnGina management and trEatment (PRESAGE). A group of 3475 patients with CCS were selected who underwent coronary angiography and were divided into two groups who were treated in the years 2006-2007 (1300 [37.4%]) - group I, and during 2015-2016 (2175 [62.6%] - group II). The composite endpoints involved death, non-fatal myocardial infarction (MI), and acute coronary syndrome-driven revascularization. Comparing patients from group I to those from group II, group I were younger; 61.8 (54.9-68.5) vs. 66.1 (59.7-72.7) years respectively, with a higher incidence of previous MI and percutaneous intervention. Patients from the group II had a higher incidence of hypertension, diabetes, obesity, atrial fibrillation, New York Heart Association class III or more. The incidence of the composite endpoints did not vary significantly between the two groups during the entire period after the index hospitalization, but patients from the group I had a lower mortality rate both within three and five years after discharge (8.5% vs. 10.7, p = 0.03 and 13.2% vs. 17.9%, p < 0.001, respectively). Patients treated during 2006-2007 and 2015-2016 differed in age, clinical characteristics, and comorbidities. The composite endpoint incidence was similar in both groups,butlong-term mortality rates werehigherin the 2015-2016 cohort.

Coronary Revascularization Guided With Fractional Flow Reserve or Instantaneous Wave-Free Ratio

The differences between the use of fractional flow reserve (FFR) or instantaneous wave-free ratio (iFR) in the long term are unknown. To compare long-term outcomes of iFR- and FFR-based strategies to guide revascularization. The DEFINE-FLAIR multicenter study randomized patients with coronary artery disease to use either iFR or FFR as a pressure index to guide revascularization. Patients from 5 continents with coronary artery disease and angiographically intermediate severity stenoses who underwent hemodynamic interrogation with pressure wires were included. These data were analyzed from March, 13, 2014, through April, 27, 2021. Five-year major adverse cardiac events (MACE) (a composite of all-cause death, nonfatal myocardial infarction, and unplanned revascularization), as well as the individual components of the combined end point. At 5 years of follow-up, no significant differences were found between the iFR (mean age [SD], 65.5 [10.8] years; 962 male [77.5%]) and FFR (mean age [SD], 65.2 [10.6] years; 929 male [74.3%]) groups in terms of MACE (21.1% vs 18.4%, respectively; hazard ratio [HR], 1.18; 95% CI, 0.99-1.42; P = .06). While all-cause death was higher among patients randomized to iFR, it was not driven by myocardial infarction (6.3% vs 6.2% in the FFR study arm; HR, 1.01; 95% CI, 0.74-1.38; P = .94) or unplanned revascularization (11.9% vs 12.2% in the FFR group; HR, 0.98; 95% CI, 0.78-1.23; P = .87). Furthermore, patients in whom revascularization was deferred on the basis of iFR or FFR had similar MACE in both study arms (17.9% in the iFR group vs 17.5% in the FFR group; HR, 1.03; 95% CI, 0.79-1.35; P = .80) with similar rates of the components of MACE, including all-cause death. On the contrary, in patients who underwent revascularization after physiologic interrogation, the incidence of MACE was higher in the iFR group (24.6%) compared with the FFR group (19.2%) (HR, 1.36; 95% CI, 1.07-1.72; P = .01). At 5-year follow up, an iFR based-strategy was not statistically different than an FFR strategy to guide revascularization in terms of MACE, nonfatal myocardial infarction, and unplanned revascularization. ClinicalTrials.gov Identifier: NCT02053038.

Coronary artery calcium measurement on attenuation correction computed tomography using artificial intelligence: correlation with coronary flow capacity and prognosis.

This study aimed to test whether the coronary artery calcium (CAC) burden on attenuation correction computed tomography (CTac), measured using artificial intelligence (AI-CACac), correlates with coronary flow capacity (CFC) and prognosis. We retrospectively enrolled patients who underwent [13N]ammonia positron emission tomography (PET) between September 2021 and May 2023. CTac data were obtained from all the patients. Patients with (history of) acute coronary syndrome, previous coronary stent insertion or bypass surgery, or left ventricular ejection fraction < 40% were excluded. The total Agatston score measured using a dedicated AI-CAC quantification software on CTac was defined as AI-CACac. The correlations between AI-CACac and PET-measured myocardial blood flow (MBF) and CFC and significant ischaemia (summed difference score ≥ 7) were analysed. Their prognostic values for major cardiovascular events (MACE), including death, nonfatal myocardial infarction, hospitalisation due to angina pectoris or heart failure, and late (> 90 days) revascularisation, were also evaluated. In total, 289 patients were included in this study. Significant negative correlations were found between AI-CACac and stress MBF (ρ = -0.363, p < 0.001) and MFR (ρ = -0.305, p < 0.001). AI-CACac > 10 was associated with a significantly higher prevalence of impaired CFC (31% vs. 7%, p < 0.001) and significant ischaemia (20% vs. 7%), which remained significant after adjusting for other risk factors. MACE occurred in 49 (17%) patients (median follow-up, 284 days), and those who experienced MACE had significantly higher AI-CACac (median, 166 vs. 56; p = 0.039). However, multivariable analysis revealed an independent prognostic association among impaired CFC, diabetes, smoking, but not for AI-CACac. AI-measured CACac correlates well with PET-measured MBF and CFC, but its prognostic significance requires further validation.