Background: We investigate whether deep learning (DL) neural networks can reduce erroneous human "judgment calls" on bedside echocardiograms and help distinguish Takotsubo syndrome (TTS) from anterior wall ST segment elevation myocardial infarction (STEMI). Methods: We developed a single-channel (DCNN[2D SCI]), a multi-channel (DCNN[2D MCI]), and a 3-dimensional (DCNN[2D+t]) deep convolution neural network, and a recurrent neural network (RNN) based on 17,280 still-frame images and 540 videos from 2-dimensional echocardiograms in 10 years (1 January 2008 to 1 January 2018) retrospective cohort in University of Iowa (UI) and eight other medical centers. Echocardiograms from 450 UI patients were randomly divided into training and testing sets for internal training, testing, and model construction. Echocardiograms of 90 patients from the other medical centers were used for external validation to evaluate the model generalizability. A total of 49 board-certified human readers performed human-side classification on the same echocardiography dataset to compare the diagnostic performance and help data visualization. Findings: The DCNN (2D SCI), DCNN (2D MCI), DCNN(2D+t), and RNN models established based on UI dataset for TTS versus STEMI prediction showed mean diagnostic accuracy 73%, 75%, 80%, and 75% respectively, and mean diagnostic accuracy of 74%, 74%, 77%, and 73%, respectively, on the external validation. DCNN(2D+t) (area under the curve [AUC] 0¢787 vs. 0¢699, P = 0¢015) and RNN models (AUC 0¢774 vs. 0¢699, P = 0¢033) outperformed human readers in differentiating TTS and STEMI by reducing human erroneous judgement calls on TTS. Interpretation: Spatio-temporal hybrid DL neural networks reduce erroneous human "judgement calls" in distinguishing TTS from anterior wall STEMI based on bedside echocardiographic videos.

Background: Catheter ablation is being increasingly performed for rhythm control of atrial fibrillation (AF). Heart failure (HF) frequently coexists with AF because they share common risk factors. Study Question: This study aims at identifying the characteristics and procedural outcomes of patients with HF undergoing catheter ablation of AF. Study Design: In this retrospective cohort study, we analyzed 264 consecutive patients who underwent catheter ablation for AF. Seventy-three patients (28%) had a known history of stage C HF either with reduced ejection fraction or preserved ejection fraction. Measures and Outcomes: We compared procedural outcomes between patients who had known HF with those who did not. Results: Patients with HF were more likely to have higher rates of atrial fibrillation recurrence at both 3 months (odds ratio 2.9, confidence interval = 1.5–5.7, P = 0.0022) and 1 year after the procedure (odds ratio 2.3, confidence interval 1.2–4.3, P = 0.0097) and risk factors for recurrence of AF including left atrial enlargement, persistent AF, and a higher CHA2DS2-VASc score. However, on logistic regression analysis adjusting for left atrial size, atrial fibrillation type (persistent vs. paroxysmal), and CHA2DS2-VASc score as covariates, there was no significant difference in AF recurrence rates at both 3 months and 1 year. Recurrence rates did not differ significantly between patients with HF either with reduced ejection fraction or preserved ejection fraction. Among patients with paroxysmal AF, HF was predictive of AF recurrence at both 3 months and 1 year after ablation. The procedure length was longer in patients with HF, but there were no differences in periprocedural complications. Conclusion: Patients with HF undergoing catheter ablation of AF tend to have more risk factors for recurrence, but after adjustment for risk factors, the recurrence rates were similar at 3 months and 1 year. Among patients with paroxysmal atrial fibrillation, HF was predictive of higher recurrence rates.

We completed a systematic review of published Takotsubo syndrome (TTS) cases during COVID-19 pandemic and performed clustering and feature importance analysis, and statistical testing for independence on the demographic, clinical and imaging parameters. Compared with the data before the COVID-19 pandemic, TTS was increasingly diagnosed in physical stress (mostly COVID-19 pneumonia)-triggered male patients without psychiatric/neurologic disorders, warranting further investigation to establish new reference criteria to improve diagnostic specificity. In clustering analysis, the gender and in-patient mortality primarily contributed to the automated classification of the TTS. Both the gender and in-patient mortality showed significant correlations with COVID-19 infection/pneumonia. There is effect modification of gender on outcomes in patients with COVID-19 infection and TTS, with male patients having significantly worse inpatient mortality. Meanwhile, significantly more male TTS patients were classified as “high-risk” following InterTAK prognostic scores, suggestive of male COVID-19/TTS survivors will likely have worse long-term outcome.

Background The log linear association between on-treatment LDL-C levels and ASCVD events is amplified in higher risk patient subgroups of statin versus placebo trials. Objectives Update previous systematic review to evaluate how the log linear association influences the magnitude of cardiovascular risk reduction from intensifying LDL-C lowering therapy. Methods MEDLINE/PubMED, Clinical trials.gov, and author files were searched from 1/1/2005 through 10/30/2019 for subgroup analyses of cardiovascular outcomes trials of moderate versus high intensity statin, ezetimibe, and PCSK9 mAbs with an ASCVD endpoint (nonfatal myocardial infarction or stroke, cardiovascular death). Annualized ASCVD event rates were used to extrapolate 5-year ASCVD risk for each treatment group reported in subgroup analyses, which were grouped into a priori risk groups according to annualized placebo/control rates of ≥4%, 3–3.9%, or <3% ASCVD risk. Data were pooled using a random-effects model. Weighted least-squares regression was used to fit linear and log-linear models. Results Systematic review identified 96 treatment subgroups from 2 trials of moderate versus high intensity statin, 2 trials of a PCSK9 mAb versus placebo, and 1 trial of ezetimibe versus placebo. A log linear association between on-treatment LDL-C and ASCVD risk represents the association between on-treatment LDL-C levels and ASCVD event rates, especially in higher risk subgroups. Greater relative and absolute cardiovascular risk reductions from LDL-C lowering were observed when baseline LDL-C was >100 mg/dl and in extremely high risk ASCVD patient groups. Conclusions Greater cardiovascular and mortality risk reduction benefits from intensifying LDL-C lowering therapy may be expected in those with LDL-C ≥100 mg/dl, or in extremely high risk patient groups. When baseline LDL-C <100 mg/dl, the log linear association between LDL-C and event rates suggests that treatment options other than further LDL-C lowering should also be considered for optimal risk reduction.

Statins are the mainstay of therapy for cardiovascular risk reduction in patients with diabetes mellitus. It is estimated that there are more than half a billion patients with diabetes mellitus worldwide and the numbers of prevalent cases of diabetes are expected to increase in both developed and developing countries in the next decade. Statins reduce risk of mortality and morbidity mainly by reducing blood low density cholesterol. Statins, along with other medical treatments, are responsible for about half of the decrease in cardiovascular mortality over the past several decades. Multiple clinical trials have found evidence for statin use in patients with diabetes, for both primary prevention and secondary prevention. The benefit of statins in patients with coronary heart disease and diabetes in terms of absolute risk reduction is twice as much as compared to the risk in patients with coronary heart disease but no diabetes. The proportion of patients with diabetes treated with statins has increased steadily over the past few decades with concurrent decrease in cardiovascular deaths in this high‐risk population. However, there are significant unmet needs in cardiovascular risk reduction, due to underutilization of statins and due to residual cardiovascular risk despite maximal statin therapy. Future strategies in population risk reduction in diabetics should include maximal statin therapy, additional treatment with nonstatin therapy and new paradigms of prevention with early intervention with shorter, more intensive therapy to potentially “reverse” atherosclerosis with goals of reducing clinical cardiovascular disease later in life.

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Background Limited data exist on the incremental value of the risk enhancers recommended in the 2018 American Heart Association/American College of Cardiology (ACC/AHA) cholesterol treatment guidelines in addition to the pooled cohort equation. Methods and Results Using pooled individual‐level data from 3 epidemiological cohorts involving 22 942 participants (56% women, mean age 59 years), we evaluated the predictive ability of the risk enhancers and coronary artery calcium (CAC) score for atherosclerotic cardiovascular disease, and determined their incremental utility using the C statistic, net reclassification index, and integrated discrimination index. A total of 1960 (8.5%) atherosclerotic cardiovascular disease events were accrued over 10 years. Of the 10 risk enhancers evaluated, only 6 predicted atherosclerotic cardiovascular disease independent of the pooled cohort equation. However, the individual enhancers demonstrated little or no incremental benefit. There was more incremental value from combining the 6 enhancers into an aggregate score (hazard ratio [HR], 1.21; 95% CI, 1.08–1.37 for each additional enhancer), and having ≥3 enhancers represents an optimum threshold for incremental prediction (C statistic, 0.766; net reclassification index, 0.041; integrated discrimination index, 0.010; P ≤0.007). On the other hand, CAC was superior to individual enhancers (C statistic, 0.774; net reclassification index, 0.073; integrated discrimination index, 0.010; P <0.001), reliably reclassifies intermediate‐risk participants with <3 risk enhancers (event rate, 3.5% if no CAC and 9.8% if positive CAC), but offered no reclassification among participants with ≥3 enhancers. Conclusions The individual risk enhancers evaluated in this study provided no or only marginal incremental information added to the pooled cohort equation. However, the presence of ≥3 risk enhancers reliably identified intermediate‐risk patients that will benefit from statin therapy, and further CAC testing may be considered among those with <3 risk enhancers.

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