National Variation in Hospital MTEER Outcomes and Correlation With TAVR Outcomes: STS/ACC TVT Registry Analysis.

BACKGROUND: A single, multitiered valve center designation has been proposed to publicly identify centers with expertise for all valve therapies. The correlation between transcatheter aortic valve replacement (TAVR) and mitral transcatheter edge-to-edge repair (MTEER) procedures is unknown. OBJECTIVES: The authors sought to examine the relationship between site-level volumes and outcomes for TAVR and MTEER. We further explored variability between sites for MTEER outcomes. METHODS: Using the STS/ACC TVT (Society of Thoracic Surgeons/American College of Cardiology Transcatheter Valve Therapy) national registry, TAVR and MTEER procedures at sites offering both therapies from 2013 to 2022 were examined. Sites were ranked into deciles of adjusted in-hospital and 30-day outcomes separately for TAVR and MTEER and compared. Stepwise, hierarchical multivariable models were constructed for MTEER outcomes, and the median OR was calculated. RESULTS: Between 2013 and 2022, 384,394 TAVRs and 53,274 MTEERs (median annualized volumes: 93.6 and 18.8, respectively) were performed across 453 U.S. sites. Annualized TAVR and MTEER volumes were moderately correlated (r = 0.48; P < 0.001). After adjustment, 14.3% of sites had the same decile rank for TAVR and MTEER 30-day composite outcome, 50.6% were within 2 decile ranks; 35% had more discordant outcomes for the 2 procedures (P = 0.0005). For MTEER procedures, the median OR for the 30-day composite outcome was 1.57 (95% CI: 1.51-1.64), indicating a 57% variability in outcome by site. CONCLUSIONS: There is modest correlation between hospital-level volumes for TAVR and MTEER but low interprocedural correlation of outcomes. For similar patients, site-level variability for mortality/morbidity following MTEER was high. Factors influencing outcomes and "centers of excellence" as a whole may differ for TAVR and MTEER.

Risk Prediction for Atherosclerotic Cardiovascular Disease With and Without Race Stratification.

Importance: Use of race-specific risk prediction in clinical medicine is being questioned. Yet, the most commonly used prediction tool for atherosclerotic cardiovascular disease (ASCVD)-pooled cohort risk equations (PCEs)-uses race stratification. Objective: To quantify the incremental value of race-specific PCEs and determine whether adding social determinants of health (SDOH) instead of race improves model performance. Design, Setting, and Participants: Included in this analysis were participants from the biracial Reasons for Geographic and Racial Differences in Stroke (REGARDS) prospective cohort study. Participants were aged 45 to 79 years, without ASCVD, and with low-density lipoprotein cholesterol level of 70 to 189 mg/dL or non-high-density lipoprotein cholesterol level of 100 to 219 mg/dL at baseline during the period of 2003 to 2007. Participants were followed up to 10 years for incident ASCVD, including myocardial infarction, coronary heart disease death, and fatal and nonfatal stroke. Study data were analyzed from July 2022 to February 2023. Main outcome/measures: Discrimination (C statistic, Net Reclassification Index [NRI]), and calibration (plots, Nam D'Agostino test statistic comparing observed to predicted events) were assessed for the original PCE, then for a set of best-fit, race-stratified equations including the same variables as in the PCE (model C), best-fit equations without race stratification (model D), and best-fit equations without race stratification but including SDOH as covariates (model E). Results: This study included 11 638 participants (mean [SD] age, 61.8 [8.3] years; 6764 female [58.1%]) from the REGARDS cohort. Across all strata (Black female, Black male, White female, and White male participants), C statistics did not change substantively compared with model C (Black female, 0.71; 95% CI, 0.68-0.75; Black male, 0.68; 95% CI, 0.64-0.73; White female, 0.77; 95% CI, 0.74-0.81; White male, 0.68; 95% CI, 0.64-0.71), in model D (Black female, 0.71; 95% CI, 0.67-0.75; Black male, 0.68; 95% CI, 0.63-0.72; White female, 0.76; 95% CI, 0.73-0.80; White male, 0.68; 95% CI, 0.65-0.71), or in model E (Black female, 0.72; 95% CI, 0.68-0.76; Black male, 0.68; 95% CI, 0.64-0.72; White female, 0.77; 95% CI, 0.74-0.80; White male, 0.68; 95% CI, 0.65-0.71). Comparing model D with E using the NRI showed a net percentage decline in the correct assignment to higher risk for male but not female individuals. The Nam D'Agostino test was not significant for all race-sex strata in each model series, indicating good calibration in all groups. Conclusions: Results of this cohort study suggest that PCE performed well overall but had poorer performance in both BM and WM participants compared with female participants regardless of race in the REGARDS cohort. Removal of race or the addition of SDOH did not improve model performance in any subgroup.

Traditional Chinese Medicine Compound (Tongxinluo) and Clinical Outcomes of Patients With Acute Myocardial Infarction: The CTS-AMI Randomized Clinical Trial.

Importance: Tongxinluo, a traditional Chinese medicine compound, has shown promise in in vitro, animal, and small human studies for myocardial infarction, but has not been rigorously evaluated in large randomized clinical trials. Objective: To investigate whether Tongxinluo could improve clinical outcomes in patients with ST-segment elevation myocardial infarction (STEMI). Design, Setting, and Participants: Randomized, double-blind, placebo-controlled clinical trial was conducted among patients with STEMI within 24 hours of symptom onset from 124 hospitals in China. Patients were enrolled from May 2019 to December 2020; the last date of follow-up was December 15, 2021. Interventions: Patients were randomized 1:1 to receive either Tongxinluo or placebo orally for 12 months (a loading dose of 2.08 g after randomization, followed by the maintenance dose of 1.04 g, 3 times a day), in addition to STEMI guideline-directed treatments. Main Outcomes and Measures: The primary end point was 30-day major adverse cardiac and cerebrovascular events (MACCEs), a composite of cardiac death, myocardial reinfarction, emergent coronary revascularization, and stroke. Follow-up for MACCEs occurred every 3 months to 1 year. Results: Among 3797 patients who were randomized, 3777 (Tongxinluo: 1889 and placebo: 1888; mean age, 61 years; 76.9% male) were included in the primary analysis. Thirty-day MACCEs occurred in 64 patients (3.4%) in the Tongxinluo group vs 99 patients (5.2%) in the control group (relative risk [RR], 0.64 [95% CI, 0.47 to 0.88]; risk difference [RD], -1.8% [95% CI, -3.2% to -0.6%]). Individual components of 30-day MACCEs, including cardiac death (56 [3.0%] vs 80 [4.2%]; RR, 0.70 [95% CI, 0.50 to 0.99]; RD, -1.2% [95% CI, -2.5% to -0.1%]), were also significantly lower in the Tongxinluo group than the placebo group. By 1 year, the Tongxinluo group continued to have lower rates of MACCEs (100 [5.3%] vs 157 [8.3%]; HR, 0.64 [95% CI, 0.49 to 0.82]; RD, -3.0% [95% CI, -4.6% to -1.4%]) and cardiac death (85 [4.5%] vs 116 [6.1%]; HR, 0.73 [95% CI, 0.55 to 0.97]; RD, -1.6% [95% CI, -3.1% to -0.2%]). There were no significant differences in other secondary end points including 30-day stroke; major bleeding at 30 days and 1 year; 1-year all-cause mortality; and in-stent thrombosis (<24 hours; 1-30 days; 1-12 months). More adverse drug reactions occurred in the Tongxinluo group than the placebo group (40 [2.1%] vs 21 [1.1%]; P = .02), mainly driven by gastrointestinal symptoms. Conclusions and Relevance: In patients with STEMI, the Chinese patent medicine Tongxinluo, as an adjunctive therapy in addition to STEMI guideline-directed treatments, significantly improved both 30-day and 1-year clinical outcomes. Further research is needed to determine the mechanism of action of Tongxinluo in STEMI. Trial Registration: ClinicalTrials.gov Identifier: NCT03792035.

Accuracy of incidental visual coronary artery calcium assessment compared with dedicated coronary artery calcium scoring.

INTRODUCTION: CAC can be detected on routine chest computed tomography (CT) scans and may contribute to CVD risk estimation, but the accuracy of visual CAC scoring may be affected by the specialty of the interpreting radiologist and/or the use of contrast. METHODS: The accuracy of visual CAC estimation on non-gated CT scans was evaluated at UT Southwestern Medical Center (UTSW) and Parkland Health and Hospital System (PHHS). All adults who underwent CAC scanning and a non-gated CT scan within 6 months were identified and the scores from the two CTs were compared overall and stratified by type of reader and whether contrast was used. Visual CAC categories of none, small, moderate, and large were compared to CAC â€‹= â€‹0, 1-99, 100-399, and ≥400, respectively. RESULTS: From 2016 to 2021, 934 patients (mean age 60 â€‹± â€‹12 â€‹y, 43% male, 61% White, 34% Black, 24% Hispanic, 54% from PHHS) had both CT scans. Of these, 441 (47%) had no CAC, 278 (30%) small, 147 (16%) moderate, and 66 (7%) large CAC on non-gated CT. Visual CAC estimates were highly correlated with CAC scores (Kendalls tau-b â€‹= â€‹0.76, p â€‹< â€‹0.0001). Among those with no visual CAC, 76% had CAC â€‹= â€‹0 (72% of contrast-enhanced vs 85% of non-contrast scans, 88% of scans interpreted by CT radiologist vs 78% of those interpreted by other radiologist). In those with moderate-to-large visual CAC, 99% had CAC >0 and 88% had CAC ≥100, including 89% of those with contrast, 90% of those without contrast, 80% of those read by a CT radiologist, and 88% of those read by a non-CT radiologist. DISCUSSION: Visual CAC estimates on non-gated CT scans are concordant with Agatston score categories from cardiac CT scans. A lack of visual CAC on non-gated CT scans may not be sufficient to "de-risk" patients, particularly for contrast-enhanced scans and those read by non-CT radiologists. However, the presence of moderate-to-large CAC, including on contrasted scans and regardless of radiologist type, is highly predictive of CAC and may be used to identify high-risk patients for prevention interventions.

Health Claims and Doses of Fish Oil Supplements in the US.

Importance: One in 5 US adults older than 60 years takes fish oil supplements often for heart health despite multiple randomized clinical trials showing no data for cardiovascular benefit for supplement-range doses. Statements on the supplement labels may influence consumer beliefs about health benefits. Objectives: To evaluate health claims made on the labels of fish oil supplements in the US, and to examine doses of eicosapentaenoic acid (EPA) and docosahexaenoic acid (DHA) in commonly available formulations. Design, Setting, and Participants: This cross-sectional study used data from labels of on-market fish oil (and nonfish ω-3 fatty acid) supplements obtained from the National Institutes of Health Dietary Supplement Label Database. The study was conducted and data analyzed from February to June 2022. Main Outcome and Measures: The frequency and types of health claims made on fish oil labels (US Food and Drug Administration [FDA]-reviewed qualified health claim vs a structure/function claim) and the organ system referenced were evaluated. The total daily doses of combined EPA and DHA (EPA+DHA) were assessed for supplements from 16 leading manufacturers and retailers. Results: Across 2819 unique fish oil supplements, 2082 (73.9%) made at least 1 health claim. Of these, only 399 (19.2%) used an FDA-approved qualified health claim; the rest (1683 [80.8%]) made only structure/function claims (eg, "promotes heart health"). Cardiovascular health claims were the most common (1747 [62.0%]). Across 16 leading brands/manufacturers, 255 fish oil supplements were identified. Among these, substantial variability was found in the daily dose of EPA (median [IQR], 340 [135-647] mg/d), DHA (median [IQR], 270 [140-500] mg/d), and total EPA+DHA (median [IQR], 600 [300-1100] mg/d). Only 24 of 255 supplements (9.4%) evaluated contained a daily dose of 2 g or more EPA+DHA. Conclusions: Results of this cross-sectional study suggest that the majority of fish oil supplement labels make health claims, usually in the form of structure/function claims, that imply a health benefit across a variety of organ systems despite a lack of trial data showing efficacy. Significant heterogeneity exists in the daily dose of EPA+DHA in available supplements, leading to potential variability in safety and efficacy between supplements. Increasing regulation of dietary supplement labeling may be needed to prevent consumer misinformation.

Predictors of intracranial hemorrhage in patients with atrial fibrillation treated with oral anticoagulants: Insights from the GARFIELD-AF and ORBIT-AF registries.

BACKGROUND: An unmet need exists to reliably predict the risk of intracranial hemorrhage (ICH) in patients with atrial fibrillation (AF) treated with oral anticoagulants (OACs). HYPOTHESIS: An externally validated model improves ICH risk stratification. METHODS: Independent factors associated with ICH were identified by Cox proportional hazard modeling, using pooled data from the GARFIELD-AF (Global Anticoagulant Registry in the FIELD-Atrial Fibrillation) and ORBIT-AF (Outcomes Registry for Better Informed Treatment of Atrial Fibrillation) registries. A predictive model was developed and validated by bootstrap sampling and by independent data from the Danish National Patient Register. RESULTS: In the combined training data set, 284 of 53 878 anticoagulated patients had ICH over a 2-year period (0.31 per 100 person-years; 95% confidence interval [CI]: 0.28-0.35). Independent predictors of ICH included: older age, prior stroke or transient ischemic attack, concomitant antiplatelet (AP) use, and moderate-to-severe chronic kidney disease (CKD). Vitamin K antagonists (VKAs) were associated with a significantly higher risk of ICH compared with non-VKA oral anticoagulants (NOACs) (adjusted hazard ratio: 1.61; 95% CI: 1.25-2.08; p = .0002). The ability of the model to discriminate individuals in the training set with and without ICH was fair (optimism-corrected C-statistic: 0.68; 95% CI: 0.65-0.71) and outperformed three previously published methods. Calibration between predicted and observed ICH probabilities was good in both training and validation data sets. CONCLUSIONS: Age, prior ischemic events, concomitant AP therapy, and CKD were important risk factors for ICH in anticoagulated AF patients. Moreover, ICH was more frequent in patients receiving VKA compared to NOAC. The new validated model is a step toward mitigating this potentially lethal complication.

Gaps in Guideline-Based Lipid-Lowering Therapy for Secondary Prevention in the United States: A Retrospective Cohort Study of 322†153 Patients.

BACKGROUND: Many patients with atherosclerotic cardiovascular disease (ASCVD) are not on guideline-recommended statin therapy. We evaluated utilization of statins and other lipid-lowering therapy (LLT), and changes in low-density lipoprotein cholesterol (LDL-C), among patients with ASCVD over a 1-year period. METHODS: LLT and LDL-C levels at the first outpatient visit (January 1, 2017-December 31, 2018) and 1-year follow-up were evaluated using data from Cerner Real-World Data, an electronic health record-derived data set from 92 US health systems. Logistic regression was used to evaluate factors associated with high-intensity statin use. RESULTS: We identified 322 153 patients with ASCVD (median age 69 years, 58.8% men, 81.8% White). Overall, 76.1% of patients were on statins, with only 39.4% on high-intensity statins. Men were more likely to receive high-intensity statins than women (multivariable-adjusted odds ratio, 1.34 [95% CI, 1.30-1.38]). Increasing age was associated with lower odds of statin use (odds ratio, 0.79 per 5-year increase at 60 years [95% CI, 0.78-0.81]). Patients with peripheral artery disease (odds ratio, 0.40 [95% CI, 0.37-0.42]) and cerebrovascular disease (odds ratio, 0.75 [95% CI, 0.70-0.80]) had lower odds of using high-intensity statins than those with coronary artery disease. At baseline, most patients (61.3%) had elevated LDL-C (≥70 mg/dL), including 59.8% of those on low/moderate-intensity statins and 76.1% on no statin; only 45.3% achieved an LDL-C <70 mg/dL at 1 year. Nonstatin LLT use was low (ezetimibe, 4.4%; proprotein convertase subtilisin/kexin type 9 inhibitors, 0.7%). Among patients on no statin or low/moderate-intensity statin at baseline, 14.8% and 13.4%, respectively, were on high-intensity statins at 1 year. CONCLUSIONS: Among patients with ASCVD in routine care, high-intensity statins are underutilized, and uptitration and use of nonstatin therapy are uncommon. Women, older adults, and individuals with noncardiac ASCVD are particularly undertreated. Concerted efforts are needed to address therapeutic inertia for lipid management in patients with ASCVD.

Mitochondrial metabolites predict adverse cardiovascular events in individuals with diabetes.

Metabolic mechanisms underlying the heterogeneity of major adverse cardiovascular (CV) event (MACE) risk in individuals with type 2 diabetes mellitus (T2D) remain unclear. We hypothesized that circulating metabolites reflecting mitochondrial dysfunction predict incident MACE in T2D. Targeted mass-spectrometry profiling of 60 metabolites was performed on baseline plasma samples from the Trial Evaluating Cardiovascular Outcomes with Sitagliptin (TECOS; discovery cohort) and Exenatide Study of Cardiovascular Event Lowering (EXSCEL; validation cohort) biomarker substudy cohorts. A principal components analysis metabolite factor comprising medium-chain acylcarnitines (MCACs) was associated with MACE in TECOS and validated in EXSCEL, with higher levels associated with higher MACE risk. Meta-analysis showed that long-chain acylcarnitines (LCACs) and dicarboxylacylcarnitines were also associated with MACE. Metabolites remained associated with MACE in multivariate models and favorably changed with exenatide therapy. A third cohort (Cardiac Catheterization Genetics [CATHGEN]) with T2D was assessed to determine whether these metabolites improved discriminative capability of multivariate models for MACE. Nine metabolites (MCACs and LCACs and 1 dicarboxylacylcarnitine) were associated with time to MACE in the CATHGEN cohort. Addition of these metabolites to clinical models minimally improved the discriminative capability for MACE but did significantly down reclassify risk. Thus, metabolites reporting on dysregulated mitochondrial fatty acid oxidation are present in higher levels in individuals with T2D who experience subsequent MACE. These biomarkers may improve CV risk prediction models, be therapy responsive, and highlight emerging risk mechanisms.

Recent Vitamin K Antagonist Use and Intracranial Hemorrhage After Endovascular Thrombectomy for Acute Ischemic Stroke.

Importance: Use of oral vitamin K antagonists (VKAs) may place patients undergoing endovascular thrombectomy (EVT) for acute ischemic stroke caused by large vessel occlusion at increased risk of complications. Objective: To determine the association between recent use of a VKA and outcomes among patients selected to undergo EVT in clinical practice. Design, Setting, and Participants: Retrospective, observational cohort study based on the American Heart Association's Get With the Guidelines-Stroke Program between October 2015 and March 2020. From 594 participating hospitals in the US, 32 715 patients with acute ischemic stroke selected to undergo EVT within 6 hours of time last known to be well were included. Exposure: VKA use within the 7 days prior to hospital arrival. Main Outcome and Measures: The primary end point was symptomatic intracranial hemorrhage (sICH). Secondary end points included life-threatening systemic hemorrhage, another serious complication, any complications of reperfusion therapy, in-hospital mortality, and in-hospital mortality or discharge to hospice. Results: Of 32 715 patients (median age, 72 years; 50.7% female), 3087 (9.4%) had used a VKA (median international normalized ratio [INR], 1.5 [IQR, 1.2-1.9]) and 29 628 had not used a VKA prior to hospital presentation. Overall, prior VKA use was not significantly associated with an increased risk of sICH (211/3087 patients [6.8%] taking a VKA compared with 1904/29 628 patients [6.4%] not taking a VKA; adjusted odds ratio [OR], 1.12 [95% CI, 0.94-1.35]; adjusted risk difference, 0.69% [95% CI, -0.39% to 1.77%]). Among 830 patients taking a VKA with an INR greater than 1.7, sICH risk was significantly higher than in those not taking a VKA (8.3% vs 6.4%; adjusted OR, 1.88 [95% CI, 1.33-2.65]; adjusted risk difference, 4.03% [95% CI, 1.53%-6.53%]), while those with an INR of 1.7 or lower (n = 1585) had no significant difference in the risk of sICH (6.7% vs 6.4%; adjusted OR, 1.24 [95% CI, 0.87-1.76]; adjusted risk difference, 1.13% [95% CI, -0.79% to 3.04%]). Of 5 prespecified secondary end points, none showed a significant difference across VKA-exposed vs VKA-unexposed groups. Conclusions and Relevance: Among patients with acute ischemic stroke selected to receive EVT, VKA use within the preceding 7 days was not associated with a significantly increased risk of sICH overall. However, recent VKA use with a presenting INR greater than 1.7 was associated with a significantly increased risk of sICH compared with no use of anticoagulants.

Challenge in Predicting Persistence to P2Y12 Inhibitors: A Perspective From the ARTEMIS Trial.

Background Premature discontinuation of P2Y12 inhibitor therapy has been associated with adverse cardiac events, which might be preventable by improving medication persistence. Current risk models have limited ability to predict patients at risk of P2Y12 inhibitor nonpersistence. Methods and Results ARTEMIS (Affordability and Real-World Antiplatelet Treatment Effectiveness after Myocardial Infarction Study) was a randomized, controlled trial testing the impact of a copayment assistance intervention on P2Y12 inhibitor persistence and outcomes. Among 6212 patients post myocardial infarction with a planned 1-year course of P2Y12 inhibitor therapy, nonpersistence was defined as a gap in P2Y12 inhibitor filled >30 days by pharmacy fill data. We developed a predictive model for 1-year P2Y12 inhibitor nonpersistence among patients randomized to usual care. P2Y12 inhibitor nonpersistence rates were 23.8% (95% CI, 22.7%-24.8%) at 30 days and 47.9% (46.6%-49.1%) at 1 year; the majority of these patients had in-hospital percutaneous coronary intervention. Patients who received the copayment assistance intervention had nonpersistence rates of 22.0% (20.7%-23.3%) at 30 days and 45.3% (43.8%-46.9%) at 1 year. A 53-variable multivariable model predicting 1-year persistence had a C-index of 0.63 (optimism-corrected C-index 0.58). Model discrimination did not improve with inclusion of patient-reported perceptions about disease, medication-taking beliefs, and prior medication-filling behavior in addition to demographic and medical history data (C-index 0.62). Conclusions Despite addition of patient-reported variables, models predicting persistence with P2Y12 inhibitor therapy performed poorly, thereby suggesting the need for continued patient and clinician education on the importance of P2Y12 inhibitor therapy after acute myocardial infarction. Registration URL: https://www.clinicaltrials.gov; Unique identifier: NCT02406677.

Generalizability of an EHR-network dataset to the United States for cardiovascular disease conditions: Comparison of Cerner real world data with the national inpatient sample.

BACKGROUND: Electronic Health Record (EHR) data from health systems are increasingly being combined for clinical research purposes. Yet, it remains unclear whether these large EHR data sources provide a representative assessment of national disease prevalence and treatment. To evaluate this, we compared Cerner RealWorldData (CRWD), a large EHR data source, to those seen in the National Inpatient Sample (NIS) for 3 cardiovascular conditions (myocardial infarction (MI), congestive heart failure (CHF), and stroke. METHODS: Adult patients (age ≥18 years) hospitalized with MI, CHF, and stroke were identified in both CRWD (86 health systems) and the NIS (4,782 hospitals). Patient demographics, comorbidities, procedures, outcomes (length of stay and in-hospital mortality) and hospital type (teaching or nonteaching) were compared between NIS and CRWD patients. RESULTS: Of 86 health systems participating in CRWD, 33 were excluded for potential data quality issues which accounted for about 11% of hospitalizations in the dataset, leaving 53 for inclusion in analysis which accounted for about 89% of hospitalizations in the dataset. Between January 1, 2017 and December 31, 2018, 116,956 MI, 188,107 CHF, and 93,968 stroke hospitalizations were identified in CRWD vs 2,245,300 MI, 4,310,745 CHF, and 1,333,480 stroke hospitalizations in the NIS. Patient demographics were similar among patients in CWRD and the NIS for all 3 cardiovascular groups except for ethnicity, with underrepresentation of Hispanic individuals in CRWD vs the NIS. Patients hospitalized in CRWD had a slightly higher proportion of coded co-morbidities compared with NIS hospitalizations due to a longer potential look-back period. For patients with MI, hospital mortality, length of stay, coronary artery bypass graft (CABG) rates, and percutaneous coronary intervention (PCI) rates were similar between CRWD and NIS. Additionally, there was similar in hospital mortality and length of stay for those with CHF and stroke hospitalizations between CRWD and NIS. CONCLUSIONS: On aggregate, characteristics of hospitalizations for MI, CHF, and stroke using EHR data from one nationwide EHR-derived database, CRWD, appears similar to characteristics of hospitalizations in the nationally representative NIS. Important limitations of CRWD include lack of geographic representativeness, under-representation of Hispanic adults, and the need to exclude health systems for missing data.

Contemporary patterns of lipoprotein(a) testing and associated clinical care and outcomes.

Objective: Elevated lipoprotein(a) [Lp(a)] is associated with atherosclerotic cardiovascular disease, yet little is known about Lp(a) testing patterns in real-world practice. The objective of this analysis was to determine how Lp(a) testing is used in clinical practice in comparison with low density lipoprotein cholesterol (LDL-C) testing alone, and to determine whether elevated Lp(a) level is associated with subsequent initiation of lipid-lowering therapy (LLT) and incident cardiovascular (CV) events. Methods: This is an observational cohort study, based on lab tests administered between Jan 1, 2015 and Dec 31, 2019. We used electronic health record (EHR) data from 11 United States health systems participating in the National Patient-Centered Clinical Research Network (PCORnet). We created two cohorts for comparison: 1) the Lp(a) cohort, of adults with an Lp(a) test and 2) the LDL-C cohort, of 4:1 date- and site-matched adults with an LDL-C test, but no Lp(a) test. The primary exposure was the presence of an Lp(a) or LDL-C test result. In the Lp(a) cohort, we used logistic regression to assess the relationship between Lp(a) results in mass units (< 50, 50-100, and > 100mg/dL) and molar units (<125, 125-250, > 250nmol/L) and initiation of LLT within 3 months. We used multivariable adjusted Cox proportional hazards regression to evaluate these Lp(a) levels and time to composite CV hospitalization, including hospitalization for myocardial infarction, revascularization and ischemic stroke. Results: Overall, 20,551 patients had Lp(a) test results and 2,584,773 patients had LDL-C test results (82,204 included in the matched LDL-C cohort). Compared with the LDL-C cohort, the Lp(a) cohort more frequently had prevalent ASCVD (24.3% vs. 8.5%) and multiple prior CV events (8.6% vs. 2.6%). Elevated Lp(a) was associated with greater odds of subsequent LLT initiation. Elevated Lp(a) reported in mass units was also associated with subsequent composite CV hospitalization [aHR (95% CI): Lp(a) 50-100mg/dL 1.25 (1.02-1.53), p<0.03, Lp(a) > 100mg/dL 1.23 (1.08-1.40), p<0.01]. Conclusion: Lp(a) testing is relatively infrequent in health systems across the U.S. As new therapies for Lp(a) emerge, improved patient and provider education is needed to increase awareness of the utility of this risk marker.

Achieving Equity in Hospital Performance Assessments Using Composite Race-Specific Measures of Risk-Standardized Readmission and Mortality Rates for Heart Failure.

BACKGROUND: The contemporary measures of hospital performance for heart failure hospitalization and 30-day risk-standardized readmission rate (RSRR) and risk-standardized mortality rate (RSMR) are estimated using the same risk adjustment model and overall event rate for all patients. Thus, these measures are mainly driven by the care quality and outcomes for the majority racial and ethnic group, and may not adequately represent the hospital performance for patients of Black and other races. METHODS: Fee-for-service Medicare beneficiaries from January 2014 to December 2019 hospitalized with heart failure were identified. Hospital-level 30-day RSRR and RSMR were estimated using the traditional race-agnostic models and the race-specific approach. The composite race-specific performance metric was calculated as the average of the RSRR/RMSR measures derived separately for each race and ethnicity group. Correlation and concordance in hospital performance for all patients and patients of Black and other races were assessed using the composite race-specific and race-agnostic metrics. RESULTS: The study included 1 903 232 patients (75.7% White [n=1 439 958]; 14.5% Black [n=276 684]; and 9.8% other races [n=186 590]) with heart failure from 1860 hospitals. There was a modest correlation between hospital-level 30-day performance metrics for patients of White versus Black race (Pearson correlation coefficient: RSRR=0.42; RSMR=0.26). Compared with the race-agnostic RSRR and RSMR, composite race-specific metrics for all patients demonstrated stronger correlation with RSRR (correlation coefficient: 0.60 versus 0.74) and RSMR (correlation coefficient: 0.44 versus 0.51) for Black patients. Concordance in hospital performance for all patients and patients of Black race was also higher with race-specific (versus race-agnostic) metrics (RSRR=64% versus 53% concordantly high-performing; 61% versus 51% concordantly low-performing). Race-specific RSRR and RSMR metrics (versus race-agnostic) led to reclassification in performance ranking of 35.8% and 39.2% of hospitals, respectively, with better 30-day and 1-year outcomes for patients of all race groups at hospitals reclassified as high-performing. CONCLUSIONS: Among patients hospitalized with heart failure, race-specific 30-day RSMR and RSRR are more equitable in representing hospital performance for patients of Black and other races.

Uptake of non-statin lipid-lowering therapies for secondary prevention in community practice.

Nearly two-thirds of individuals with atherosclerotic cardiovascular disease (ASCVD) do not reach target low-density lipoprotein cholesterol despite statin therapy. Three novel lipid-lowering therapies have proven to further reduce ASCVD beyond statins, including: ezetimibe, proprotein convertase subtilisin/kexin type 9 inhibitors (PCSK9i), and icosapent ethyl. This study evaluated the use of these three agents in 728,423 individuals with ASCVD from 89 US health systems from 01/2018 through 03/2021 using the electronic health record. As of 2021, only 6.0% of ASCVD patients were on ezetimibe, 1.6% were on a PCSK9i, and 1.3% on icosapent ethyl, with utilization only marginally increasing over the study period. Addressing the underutilization of non-statin lipid-lowering therapy for secondary prevention is a critical step in improving the treatment gap of patients with residual risk of ASCVD.

Modeling the Association of Volume vs Composite Outcome Thresholds With Outcomes and Access to Transcatheter Aortic Valve Implantation in the US.

Importance: Professional societies and the Centers for Medicare & Medicaid Services suggest volume thresholds to ensure quality in transcatheter aortic valve implantation (TAVI). Objective: To model the association of volume thresholds vs spoke-and-hub implementation of outcome thresholds with TAVI outcomes and geographic access. Design, Setting, and Participants: This cohort study included patients who enrolled in the US Society of Thoracic Surgeons/American College of Cardiology Transcatheter Valve Therapy registry. Site volume and outcomes were determined from a baseline cohort of adults undergoing TAVI between July 1, 2017, and June 30, 2020. Exposures: Within each hospital referral region, TAVI sites were categorized by volume (<50 or ≥50 TAVIs per year) and separately by risk-adjusted outcome on the Society of Thoracic Surgeons/American College of Cardiology Transcatheter Valve Therapy 30-day TAVI composite during the baseline period (July 2017 to June 2020). Outcomes of patients undergoing TAVIs from July 1, 2020, to March 31, 2022, were then modeled as though the patients had been treated at (1) the nearest higher volume (≥50 TAVIs per year) or (2) the best outcome site within the hospital referral region. Main Outcomes and Measures: The primary outcome was the absolute difference in events between the adjusted observed and modeled 30-day composite of death, stroke, major bleeding, stage III acute kidney injury, and paravalvular leak. Data are presented as the number of events reduced under the above scenarios with 95% bayesian credible intervals (CrIs) and median (IQR) driving distance. Results: The overall cohort included 166 248 patients with a mean (SD) age of 79.5 (8.6) years; 74 699 (47.3%) were female and 6657 (4.2%) were Black; 158 025 (95%) were treated in higher-volume sites (≥50 TAVIs) and 75 088 (45%) were treated in best-outcome sites. Modeling a volume threshold, there was no significant reduction in estimated adverse events (-34; 95% CrI, -75 to 8), while the median (IQR) driving time from the existing site to the alternate site was 22 (15-66) minutes. Transitioning care to the best outcome site in a hospital referral region resulted in an estimated 1261 fewer adverse outcomes (95% CrI, 1013-1500), while the median (IQR) driving time from the original site to the best site was 23 (15-41) minutes. Directionally similar findings were observed for Black individuals, Hispanic individuals, and individuals from rural areas. Conclusions and Relevance: In this study, compared with the current system of care, a modeled outcome-based spoke-and-hub paradigm of TAVI care improved national outcomes to a greater extent than a simulated volume threshold, at the cost of increased driving time. To improve quality while maintaining geographic access, efforts should focus on reducing site variation in outcomes.

Facilitating Shared Decision Making Among Black Patients at Risk for Sudden Cardiac Arrest : A Randomized Clinical Trial.

BACKGROUND: Racial disparities in implantable cardioverter-defibrillator (ICD) implantation are multifactorial and are partly explained by higher refusal rates. OBJECTIVE: To assess the effectiveness of a video decision support tool for Black patients eligible for an ICD. DESIGN: Multicenter, randomized clinical trial conducted between September 2016 and April 2020. (ClinicalTrials.gov: NCT02819973). SETTING: Fourteen academic and community-based electrophysiology clinics in the United States. PARTICIPANTS: Black adults with heart failure who were eligible for a primary prevention ICD. INTERVENTION: An encounter-based video decision support tool or usual care. MEASUREMENTS: The primary outcome was the decision regarding ICD implantation. Additional outcomes included patient knowledge, decisional conflict, ICD implantation within 90 days, the effect of racial concordance on outcomes, and the time patients spent with clinicians. RESULTS: Of the 330 randomly assigned patients, 311 contributed data for the primary outcome. Among those randomly assigned to the video group, assent to ICD implantation was 58.6% compared with 59.4% in the usual care group (difference, -0.8 percentage point [95% CI, -13.2 to 11.1 percentage points]). Compared with usual care, participants in the video group had a higher mean knowledge score (difference, 0.7 [CI, 0.2 to 1.1]) and a similar decisional conflict score (difference, -2.6 [CI, -5.7 to 0.4]). The ICD implantation rate within 90 days was 65.7%, with no differences by intervention. Participants randomly assigned to the video group spent less time with their clinician than those in the usual care group (mean, 22.1 vs. 27.0 minutes; difference, -4.9 minutes [CI, -9.4 to -0.3 minutes]). Racial concordance between video and study participants did not affect study outcomes. LIMITATION: The Centers for Medicare & Medicaid Services implemented a requirement for shared decision making for ICD implantation during the study. CONCLUSION: A video-based decision support tool increased patient knowledge but did not increase assent to ICD implantation. PRIMARY FUNDING SOURCE: Patient-Centered Outcomes Research Institute.

Evaluation of weight change and cardiometabolic risk factors in a real-world population of US adults with overweight or obesity.

Whether individuals in real-world settings are able to lose weight and improve cardiometabolic risk factors over time is unclear. We aimed to determine the management of and degree of body weight change over 2 years among individuals with overweight or obesity, and to assess associated changes in cardiometabolic risk factors and clinical outcomes. Using data from 11 large health systems within the Patient-Centered Outcomes Research Network in the U.S., we collected the following data on adults with a recorded BMI ≥25 kg/m2 between January 1, 2016 and December 31, 2016: body-mass index (BMI), systolic blood pressure (SBP), diastolic blood pressure (DBP), low-density lipoprotein cholesterol (LDL-C), high-density lipoprotein cholesterol (HDLC), triglycerides and glycated hemoglobin (HbA1c). We found that among 882,712 individuals with BMI ≥25 kg/m2 (median age 59 years; 56% female), 52% maintained stable weight over 2 years and 1.3% utilized weight loss pharmacotherapy. Weight loss of 10% was associated with small but significant lowering of mean SBP (-2.69 mmHg [95% CI -2.88, -2.50]), DBP (-1.26 mmHg [95% CI -1.35, -1.18]), LDL-C (-2.60 mg/dL [95% CI -3.14, -2.05]), and HbA1c (-0.27% [95% CI -0.35, -0.19]) in the same 12 months. However, these changes were not sustained over the following year. In this study of adults with BMI ≥25 kg/m2, the majority had stable weight over 2 years, pharmacotherapies for weight loss were under-used, and small changes in cardiometabolic risk factors with weight loss were not sustained, possibly due to failure to maintain weight loss.

Time-dependent event accumulation in a cardiovascular outcome trial of patients with type 2 diabetes and established atherosclerotic cardiovascular disease.

BACKGROUND: Estimating cardiovascular (CV) event accrual is important for outcome trial planning. Limited data exist describing event accrual patterns in patients with type 2 diabetes (T2D). We compared apparent CV event accrual patterns with true event rates in the Trial Evaluating Cardiovascular Outcomes with Sitagliptin (TECOS). METHODS: Centrally adjudicated event dates and accrual rates for a 4-point major adverse CV event composite (MACE-4; includes CV death, nonfatal myocardial infarction, nonfatal stroke, or unstable angina hospitalization), MACE-4 components, all-cause mortality (ACM), and heart failure hospitalization were compiled. We used three graphical methods (Weibull probability plot, plot of negative log of the Kaplan-Meier survival distribution estimate, and the Epanechnikov kernel-smoothed estimate of the hazard rate) to examine hazard rate morphology over time for the 7 outcomes. RESULTS: Plots for all outcomes showed real-time constant event hazard rates for the duration of the follow-up, confirmed by Weibull shape parameters. The Weibull shape parameters for ACM (1.14, 95% CI 1.08-1.21) and CV death (1.08, 95% CI 1.01-1.16) were not sufficiently > 1 as to require non-constant hazard rate models to accurately depict the data. The time lag between event occurrence and event adjudication being completed, the adjudication gap, improved over the course of the trial. CONCLUSIONS: In TECOS, the nonfatal event hazard rates were constant over time. Small increases over time in the hazard rate for fatal events would not require complex modelling to predict event accrual, providing confidence in traditional modelling methods for predicting CV outcome trial event rates in this population. The adjudication gap provides a useful metric to monitor within-trial event accrual patterns. CLINICAL TRIAL REGISTRATION: Clinicaltrials.gov NCT00790205.

Does early detection of atrial fibrillation reduce the risk of thromboembolic events? Rationale and design of the Heartline study.

BACKGROUND: The impact of using direct-to-consumer wearable devices as a means to timely detect atrial fibrillation (AF) and to improve clinical outcomes is unknown. METHODS: Heartline is a pragmatic, randomized, and decentralized application-based trial of US participants aged ≥65 years. Two randomized cohorts include adults with possession of an iPhone and without a history of AF and those with a diagnosis of AF taking a direct oral anticoagulant (DOAC) for ≥30 days. Participants within each cohort are randomized (3:1) to either a core digital engagement program (CDEP) via iPhone application (Heartline application) and an Apple Watch (Apple Watch Group) or CDEP alone (iPhone-only Group). The Apple Watch Group has the watch irregular rhythm notification (IRN) feature enabled and access to the ECG application on the Apple Watch. If an IRN notification is issued for suspected AF then the study application instructs participants in the Apple Watch Group to seek medical care. All participants were "watch-naïve" at time of enrollment and have an option to either buy or loan an Apple Watch as part of this study. The primary end point is time from randomization to clinical diagnosis of AF, with confirmation by health care claims. Key secondary endpoint are claims-based incidence of a 6-component composite cardiovascular/systemic embolism/mortality event, DOAC medication use and adherence, costs/health resource utilization, and frequency of hospitalizations for bleeding. All study assessments, including patient-reported outcomes, are conducted through the study application. The target study enrollment is approximately 28,000 participants in total; at time of manuscript submission, a total of 26,485 participants have been enrolled into the study. CONCLUSION: The Heartline Study will assess if an Apple Watch with the IRN and ECG application, along with application-facilitated digital health engagement modules, improves time to AF diagnosis and cardiovascular outcomes in a real-world environment. TRIAL REGISTRATION: ClinicalTrials.gov Identifier: NCT04276441.