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Aims: Whether electrocardiographic (ECG) measurements predict mortality in chronic heart failure with reduced ejection fraction (HFrEF) is unknown. Methods and results: We studied 4880 patients from the Vericiguat Global Study in Subjects with Heart Failure with Reduced Ejection Fraction (VICTORIA) trial with a baseline 12‐lead ECG. Associations between ECG measurements and mortality were estimated as hazard ratios (HR) and adjusted for the Meta‐Analysis Global Group in Chronic Heart Failure (MAGGIC) risk score, N‐terminal pro‐B‐type natriuretic peptide, and index event. Select interactions between ECG measurements, patient characteristics and mortality were examined. Over a median of 10.8 months, there were 824 cardiovascular (CV) deaths (214 sudden) and 1005 all‐cause deaths. Median age was 68 years (interquartile range [IQR] 60–76), 24% were women, median ejection fraction was 30% (IQR 23–35), 41% had New York Heart Association class III/IV, and median MAGGIC score was 24 (IQR 19–28). After multivariable adjustment, significant associations existed between heart rate (per 5 bpm: HR 1.02), QRS duration (per 10 ms: HR 1.02), absence of left ventricular hypertrophy (HR 0.64) and CV death, and similarly so with all‐cause death (HR 1.02; HR 1.02; HR 0.61, respectively). Contiguous pathologic Q waves were significantly associated with sudden death (HR 1.46), and right ventricular hypertrophy with all‐cause death (HR 1.44). The only sex‐based interaction observed was for pathologic Q waves on CV (men: HR 1.05; women: HR 1.64, pinteraction = 0.024) and all‐cause death (men: HR 0.99; women: HR 1.57; pinteraction = 0.010). Whereas sudden death doubled in females, it did not differ among males (male: HR 1.25, 95% confidence interval [CI] 0.87–1.79; female: HR 2.50, 95% CI 1.23–5.06; pinteraction = 0.141). Conclusion: Routine ECG measurements provide additional prognostication of mortality in high‐risk HFrEF patients, particularly in women with contiguous pathologic Q waves. [ABSTRACT FROM AUTHOR]

Aim: Vericiguat significantly reduced the primary composite outcome of heart failure (HF) hospitalization or cardiovascular death in the VICTORIA trial. It is unknown if these outcome benefits are related to reverse left ventricular (LV) remodelling with vericiguat in patients with HF with reduced ejection fraction (HFrEF). The aim of this study was to compare the effects of vericiguat versus placebo on LV structure and function after 8 months of therapy in patients with HFrEF. Methods and results: Standardized transthoracic echocardiography (TTE) was performed at baseline and after 8 months of therapy in a subset of HFrEF patients in VICTORIA. The co‐primary endpoints were changes in LV end‐systolic volume index (LVESVI) and LV ejection fraction (LVEF). Quality assurance and central reading were performed by an echocardiographic core laboratory blinded to treatment assignment. A total of 419 patients (208 vericiguat, 211 placebo) with high‐quality paired TTE at baseline and 8 months were included. Baseline clinical characteristics were well balanced between treatment groups and echocardiographic characteristics were representative of patients with HFrEF. LVESVI significantly declined (60.7 ± 26.8 to 56.8 ± 30.4 ml/m2; p < 0.01) and LVEF significantly increased (33.0 ± 9.4% to 36.1 ± 10.2%; p < 0.01) in the vericiguat group, but similarly in the placebo group (absolute changes for vericiguat vs. placebo: LVESVI −3.8 ± 15.4 vs. −7.1 ± 20.5 ml/m2; p = 0.07 and LVEF +3.2 ± 8.0% vs. +2.4 ± 7.6%; p = 0.31). The absolute rate per 100 patient‐years of the primary composite endpoint at 8 months tended to be lower in the vericiguat group (19.8) than the placebo group (29.6) (p = 0.07). Conclusions: In this pre‐specified echocardiographic study, significant improvements in LV structure and function occurred over 8 months in both vericiguat and placebo in a high‐risk HFrEF population with recent worsening HF. Further studies are warranted to define the mechanisms of vericiguat's benefit in HFrEF. [ABSTRACT FROM AUTHOR]

This study combined the kernel smoothing procedure and a nonparametric differential item functioning statistic--Cochran's Z--to statistically test the difference between the kernel-smoothed item response functions for reference and focal groups. Simulation studies were conducted to investigate the Type I error and power of the proposed kernel-smoothed Cochran's Z. For the purpose of comparison, the Type I error and power rates with no correction and with regression correction were also include in the simulation. The results of this study suggest the Type I error and power performance of Cochran's Z improved when kernel smoothing was applied. (Contains 4 tables and 1 figure.)

The purpose of this study is to describe how the attribute hierarchy method (AHM) can be used to evaluate differential group performance at the cognitive attribute level. The AHM is a psychometric method for classifying examinees' test item responses into a set of attribute-mastery patterns associated with different components in a cognitive model of task performance. Attribute probabilities, computed using a neural network, can be estimated on each attribute for each examinee thereby providing specific information about the examinee's attribute-mastery level. These probabilities can also be compared across groups. We describe a four-step procedure for estimating and interpreting group differences using the AHM. We also provide an example using student response data from a sample of algebra items on the SAT to illustrate our pattern recognition approach for studying group differences.

Objectives: Remote ischaemic conditioning (RIC) has been tested as a possible strategy for mitigating reperfusion injury in ST elevation myocardial infarction (STEMI) with primary percutaneous coronary intervention (PPCI). However, surrogate outcomes have shown inconsistent effects with lack of clinical correlation.Methods: We performed a registry-based randomised study of patients with STEMI allocated to RIC (4 cycles of blood pressure cuff inflation to 200 mm Hg for 5 min of ischaemia followed by 5 min of reperfusion) or standard of care (SOC) during PPCI. We examined the associations of RIC on core laboratory measurements of myocardial perfusion, infarct size (IS), left ventricular (LV) performance and clinical outcomes.Results: A total of 252 patients were enrolled. The median age was 61 (IQR: 55-70) years and 72.8% were male. Sum ST segment deviation resolution ≥50% was similar between RIC and SOC (65.2% vs 55.7%, p=0.269). In those with 3-day cardiovascular MRI (n=88), no difference in median (25th, 75th percentiles) IS (14.9% (4.5%, 23.1%) vs 16.1% (3.3%, 22.0%), p=0.980), LV dimensions (LV end-diastolic volume index: 78.7 (71.1, 91.2) mL/m2 vs 79.9 (71.2, 88.8) mL/m2, p=0.630; LV end-systolic volume index: 48.8 (35.7, 51.4) mL/m2 vs 37.9 (31.8, 47.5) mL/m2, p=0.551) or ejection fraction (50.0% (41.0%-55.0%) vs 50.0% (43.0%-56.0%), p=0.554) was demonstrated. Similar results were observed with 90-day cardiovascular MRI. At 1 year, the clinical composite of death, congestive heart failure, cardiogenic shock and recurrent myocardial infarction was similar in RIC and SOC (21.7% vs 13.3%, p=0.110).Conclusions: In a contemporary registry-based randomised study of patients with STEMI undergoing PPCI, adjunctive therapy with RIC did not improve myocardial perfusion, reduce IS or alter LV performance. Consequently, there was no difference in clinical outcomes within 1 year.Trial Registration Number: NCT03930589. [ABSTRACT FROM AUTHOR]

Objective: Phenotypic heterogeneity among patients with type 2 diabetes mellitus (T2DM) and atherosclerotic cardiovascular disease (ASCVD) is ill defined. We used cluster analysis machine-learning algorithms to identify phenotypes among trial participants with T2DM and ASCVD.Research Design and Methods: We used data from the Trial Evaluating Cardiovascular Outcomes with Sitagliptin (TECOS) study (n = 14,671), a cardiovascular outcome safety trial comparing sitagliptin with placebo in patients with T2DM and ASCVD (median follow-up 3.0 years). Cluster analysis using 40 baseline variables was conducted, with associations between clusters and the primary composite outcome (cardiovascular death, nonfatal myocardial infarction, nonfatal stroke, or hospitalization for unstable angina) assessed by Cox proportional hazards models. We replicated the results using the Exenatide Study of Cardiovascular Event Lowering (EXSCEL) trial.Results: Four distinct phenotypes were identified: cluster I included Caucasian men with a high prevalence of coronary artery disease; cluster II included Asian patients with a low BMI; cluster III included women with noncoronary ASCVD disease; and cluster IV included patients with heart failure and kidney dysfunction. The primary outcome occurred, respectively, in 11.6%, 8.6%, 10.3%, and 16.8% of patients in clusters I to IV. The crude difference in cardiovascular risk for the highest versus lowest risk cluster (cluster IV vs. II) was statistically significant (hazard ratio 2.74 [95% CI 2.29-3.29]). Similar phenotypes and outcomes were identified in EXSCEL.Conclusions: In patients with T2DM and ASCVD, cluster analysis identified four clinically distinct groups. Further cardiovascular phenotyping is warranted to inform patient care and optimize clinical trial designs. [ABSTRACT FROM AUTHOR]