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Scirica, Benjamin

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Scirica

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Benjamin

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Scirica, Benjamin
Author's Publications: search.filters.isAuthorOfPublication.85045ebb-bc8e-449e-932c-076c7c01d88c

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    Vorapaxar in Patients With Diabetes Mellitus and Previous Myocardial Infarction: Findings From the Thrombin Receptor Antagonist in Secondary Prevention of Atherothrombotic Ischemic Events-TIMI 50 Trial
    (Lippincott Williams & Wilkins, 2015) Cavender, Matthew A.; Scirica, Benjamin; Bonaca, Marc; Angiolillo, Dominick J.; Dalby, Anthony J.; Dellborg, Mikael; Morais, Joao; Murphy, Sabina A.; Ophuis, Ton Oude; Tendera, Michal; Braunwald, Eugene; Morrow, David
    Background— Vorapaxar reduces cardiovascular death, myocardial infarction (MI), or stroke in patients with previous MI while increasing bleeding. Patients with diabetes mellitus (DM) are at high risk of recurrent thrombotic events despite standard therapy and may derive particular benefit from antithrombotic therapies. The Thrombin Receptor Antagonist in Secondary Prevention of Atherothrombotic Ischemic Events-TIMI 50 trial was a randomized, double-blind, placebo-controlled trial of vorapaxar in patients with stable atherosclerosis. Methods and Results— We examined the efficacy of vorapaxar in patients with and without DM who qualified for the trial with a previous MI. Because vorapaxar is contraindicated in patients with a history of stroke or transient ischemic attack, the analysis (n=16 896) excluded such patients. The primary end point of cardiovascular death, MI, or stroke occurred more frequently in patients with DM than in patients without DM (rates in placebo group: 14.3% versus 7.6%; adjusted hazard ratio, 1.47; P<0.001). In patients with DM (n=3623), vorapaxar significantly reduced the primary end point (11.4% versus 14.3%; hazard ratio, 0.73 [95% confidence interval, 0.60–0.89]; P=0.002) with a number needed to treat to avoid 1 major cardiovascular event of 29. The incidence of moderate/severe bleeding was increased with vorapaxar in patients with DM (4.4% versus 2.6%; hazard ratio, 1.60 [95% confidence interval, 1.07–2.40]). However, net clinical outcome integrating these 2 end points (efficacy and safety) was improved with vorapaxar (hazard ratio, 0.79 [95% confidence interval, 0.67–0.93]). Conclusions— In patients with previous MI and DM, the addition of vorapaxar to standard therapy significantly reduced the risk of major vascular events with greater potential for absolute benefit in this group at high risk of recurrent ischemic events. Clinical Trial Registration— URL: http://www.clinicaltrials.gov. Unique identifier: NCT00526474.
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    ECG Morphological Variability in Beat Space for Risk Stratification After Acute Coronary Syndrome
    (Blackwell Publishing Ltd, 2014) Liu, Yun; Syed, Zeeshan; Scirica, Benjamin; Morrow, David; Guttag, John V.; Stultz, Collin
    Background: Identification of patients who are at high risk of adverse cardiovascular events after an acute coronary syndrome (ACS) remains a major challenge in clinical cardiology. We hypothesized that quantifying variability in electrocardiogram (ECG) morphology may improve risk stratification post‐ACS. Methods and Results: We developed a new metric to quantify beat‐to‐beat morphologic changes in the ECG: morphologic variability in beat space (MVB), and compared our metric to published ECG metrics (heart rate variability [HRV], deceleration capacity [DC], T‐wave alternans, heart rate turbulence, and severe autonomic failure). We tested the ability of these metrics to identify patients at high risk of cardiovascular death (CVD) using 1082 patients (1‐year CVD rate, 4.5%) from the MERLIN‐TIMI 36 (Metabolic Efficiency with Ranolazine for Less Ischemia in Non‐ST‐Elevation Acute Coronary Syndrome—Thrombolysis in Myocardial Infarction 36) clinical trial. DC, HRV/low frequency–high frequency, and MVB were all associated with CVD (hazard ratios [HRs] from 2.1 to 2.3 [P<0.05 for all] after adjusting for the TIMI risk score [TRS], left ventricular ejection fraction [LVEF], and B‐type natriuretic peptide [BNP]). In a cohort with low‐to‐moderate TRS (N=864; 1‐year CVD rate, 2.7%), only MVB was significantly associated with CVD (HR, 3.0; P=0.01, after adjusting for LVEF and BNP). Conclusions: ECG morphological variability in beat space contains prognostic information complementary to the clinical variables, LVEF and BNP, in patients with low‐to‐moderate TRS. ECG metrics could help to risk stratify patients who might not otherwise be considered at high risk of CVD post‐ACS.
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    Beatquency domain and machine learning improve prediction of cardiovascular death after acute coronary syndrome
    (Nature Publishing Group, 2016) Liu, Yun; Scirica, Benjamin; Stultz, Collin; Guttag, John V.
    Frequency domain measures of heart rate variability (HRV) are associated with adverse events after a myocardial infarction. However, patterns in the traditional frequency domain (measured in Hz, or cycles per second) may capture different cardiac phenomena at different heart rates. An alternative is to consider frequency with respect to heartbeats, or beatquency. We compared the use of frequency and beatquency domains to predict patient risk after an acute coronary syndrome. We then determined whether machine learning could further improve the predictive performance. We first evaluated the use of pre-defined frequency and beatquency bands in a clinical trial dataset (N = 2302) for the HRV risk measure LF/HF (the ratio of low frequency to high frequency power). Relative to frequency, beatquency improved the ability of LF/HF to predict cardiovascular death within one year (Area Under the Curve, or AUC, of 0.730 vs. 0.704, p < 0.001). Next, we used machine learning to learn frequency and beatquency bands with optimal predictive power, which further improved the AUC for beatquency to 0.753 (p < 0.001), but not for frequency. Results in additional validation datasets (N = 2255 and N = 765) were similar. Our results suggest that beatquency and machine learning provide valuable tools in physiological studies of HRV.
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    Angina and Future Cardiovascular Events in Stable Patients With Coronary Artery Disease: Insights From the Reduction of Atherothrombosis for Continued Health (REACH) Registry
    (John Wiley and Sons Inc., 2016) Eisen, Alon; Bhatt, Deepak; Steg, P. Gabriel; Eagle, Kim A.; Goto, Shinya; Guo, Jianping; Smith, Sidney C.; Ohman, E. Magnus; Scirica, Benjamin
    Background: The extent to which angina is associated with future cardiovascular events in patients with coronary artery disease has long been debated. Methods and Results: Included were outpatients with established coronary artery disease who were enrolled in the REACH registry and were followed for 4 years. Angina at baseline was defined as necessitating episodic or permanent antianginal treatment. The primary end point was the composite of cardiovascular death, myocardial infarction, or stroke. Secondary end points included heart failure, cardiovascular hospitalizations, and coronary revascularization. The independent association between angina and first/total events was examined using Cox and logistic regression models. Out of 26 159 patients with established coronary artery disease, 13 619 (52%) had angina at baseline. Compared with patients without angina, patients with angina were more likely to be older, female, and had more heart failure and polyvascular disease (P<0.001 for each). Compared with patients without angina, patients with angina had higher rates of first primary end‐point event (14.2% versus 16.3%, unadjusted hazard ratio 1.19, CI 1.11–1.27, P<0.001; adjusted hazard ratio 1.06, CI 0.99–1.14, P=0.11), and total primary end‐point events (adjusted risk ratio 1.08, CI 1.01–1.16, P=0.03). Patients with angina were at increased risk for heart failure (adjusted odds ratio 1.17, CI 1.06–1.28, P=0.002), cardiovascular hospitalizations (adjusted odds ratio 1.29, CI 1.21–1.38, P<0.001), and coronary revascularization (adjusted odds ratio 1.23, CI 1.13–1.34, P<0.001). Conclusions: Patients with stable coronary artery disease and angina have higher rates of future cardiovascular events compared with patients without angina. After adjustment, angina was only weakly associated with cardiovascular death, myocardial infarction, or stroke, but significantly associated with heart failure, cardiovascular hospitalization, and coronary revascularization.
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    Efficacy and Safety of Vorapaxar as Approved for Clinical Use in the United States
    (Blackwell Publishing Ltd, 2015) Magnani, Giulia; Bonaca, Marc; Braunwald, Eugene; Dalby, Anthony J.; Fox, Keith A. A.; Murphy, Sabina A.; Nicolau, José Carlos; Oude Ophuis, Ton; Scirica, Benjamin; Spinar, Jindrich; Theroux, Pierre; Morrow, David
    Background: Vorapaxar is a protease‐activated receptor‐1 antagonist approved by the U.S. Food and Drug Administration (FDA) for the reduction of thrombotic cardiovascular (CV) events in patients with a history of myocardial infarction (MI) and peripheral artery disease (PAD), without a previous stroke or transient ischemic attack (TIA). Methods and Results: We examined the efficacy and safety of vorapaxar in the intended use population, considering 20 170 patients randomized in the multinational, double‐blinded, placebo‐controlled TRA 2°P‐TIMI 50 trial. Of these, 16 897 qualified with a history of MI in the prior 2 weeks to 1 year and 3273 with PAD. At baseline 97% of the patients were treated with aspirin, 71% with a thienopyridine, and 93% a statin. At 3 years, the endpoint of CV death, MI, or stroke was significantly reduced with vorapaxar compared with placebo (7.9% versus 9.5%, HR, 0.80; 95% CI 0.73 to 0.89; P<0.001). Vorapaxar also significantly reduced the composite of CV death, MI, stroke, and urgent coronary revascularization (10.1% versus 11.8%, HR, 0.83; 95% CI 0.76 to 0.90; P<0.001), as well as the rate of CV death or MI (P<0.001). The safety endpoint of GUSTO moderate or severe bleeding, was increased in the vorapaxar group (3.7 versus 2.4, HR, 1.55; 95% CI 1.30 to 1.86, P<0.001). Intracranial bleeding (ICH) was 0.6% versus 0.4%, P=0.10 with vorapaxar versus placebo, with fatal bleeding 0.2% versus 0.2%; P=0.70. Conclusions: In patients with prior MI or PAD who have not had a previous stroke or TIA, vorapaxar added to standard therapy is effective for long‐term secondary prevention of thrombotic CV events, while increasing moderate or severe bleeding. Clinical Trial Registration URL: clinicaltrials.gov Unique Identifier: NCT00526474.
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    Universal Classification System Type of Incident Myocardial Infarction in Patients With Stable Atherosclerosis: Observations From Thrombin Receptor Antagonist in Secondary Prevention of Atherothrombotic Ischemic Events (TRA 2°P)‐TIMI 50
    (John Wiley and Sons Inc., 2016) Kidd, Stephen K.; Bonaca, Marc; Braunwald, Eugene; De Ferrari, Gaetano M.; Lewis, Basil S.; Merlini, Piera A.; Murphy, Sabina A.; Scirica, Benjamin; White, Harvey D.; Morrow, David
    Background: Our dual aims were as follows: (1) to classify new or recurrent myocardial infarctions (MI) in patients with stable atherosclerosis using the Universal Definition of MI classification system; and (2) to characterize the effects of vorapaxar, a first‐in‐class platelet protease‐activated receptor ‐1 antagonist, on new or recurrent MI. Methods and Results: We analyzed data from TRA 2°P‐TIMI 50, a multinational, randomized, double‐blind, placebo‐controlled trial of vorapaxar. This analysis included 20 770 patients with previous MI or peripheral arterial disease without a history of transient ischemic attack or stroke. Each new or recurrent MI after randomization that met the trial end point definition was further categorized according to the European Society of Cardiology, American College of Cardiology, American Heart Association, World Heart Federation Universal Definition classification of type and size. Of 1095 incident MIs, 77% were spontaneous (Type 1), with a smaller number (9.8%) of secondary MIs (Type 2). Vorapaxar reduced Type 1 MI (hazard ratio [HR] 0.84, CI 0.73–0.98, P=0.024), with a similar pattern for Type 2 MI (HR 0.74, CI 0.49–1.10, P=0.13). Notably, vorapaxar showed a consistent pattern of reduction across size of MIs, including MIs in the highest Universal MI size class (≥10× upper reference limit, HR 0.83, CI 0.70–0.98, P=0.025). As such, there was a significant reduction in larger, spontaneous MIs (Type 1, ≥10× upper reference limit, HR 0.81, CI 0.67–0.99, P=0.036), and a consistent pattern with respect to fatal MI (HR 0.66, CI 0.39–1.11, P=0.12). Conclusions: Among stable patients with established atherosclerosis, the most common type of incident MI is spontaneous MI, and the reduction in MI with vorapaxar was consistent across MIs of varying type and size, including spontaneous infarctions ≥10× upper reference limit. Clinical Trial Registration URL: https://www.clinicaltrials.gov. Unique identifier: NCT00526474.
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    Machine Learning Improves Risk Stratification After Acute Coronary Syndrome
    (Nature Publishing Group UK, 2017) Myers, Paul D.; Scirica, Benjamin; Stultz, Collin M.
    The accurate assessment of a patient’s risk of adverse events remains a mainstay of clinical care. Commonly used risk metrics have been based on logistic regression models that incorporate aspects of the medical history, presenting signs and symptoms, and lab values. More sophisticated methods, such as Artificial Neural Networks (ANN), form an attractive platform to build risk metrics because they can easily incorporate disparate pieces of data, yielding classifiers with improved performance. Using two cohorts consisting of patients admitted with a non-ST-segment elevation acute coronary syndrome, we constructed an ANN that identifies patients at high risk of cardiovascular death (CVD). The ANN was trained and tested using patient subsets derived from a cohort containing 4395 patients (Area Under the Curve (AUC) 0.743) and validated on an independent holdout set containing 861 patients (AUC 0.767). The ANN 1-year Hazard Ratio for CVD was 3.72 (95% confidence interval 1.04–14.3) after adjusting for the TIMI Risk Score, left ventricular ejection fraction, and B-type natriuretic peptide. A unique feature of our approach is that it captures small changes in the ST segment over time that cannot be detected by visual inspection. These findings highlight the important role that ANNs can play in risk stratification.