External validation of the TIMI risk score for secondary cardiovascular events among patients with recent myocardial infarction

Comparative characterization of inflammatory profile and oral microbiome according to an inflammation-based risk score in ST-segment elevation myocardial infarction

Ischemic heart disease considers the myocardial infarction (MI), either non-ST-segment elevation (non-STEMI) or ST-segment elevation myocardial infarction (STEMI); this represents the main cause of mortality in Mexican population. Regarding to the inflammatory state, this is reported to be a major prognostic factor of mortality for patients with MI. One of the conditions capable of producing systemic inflammation is periodontal disease. It has been proposed that the oral microbiota is translocated through the bloodstream to the liver and intestine, generating intestinal dysbiosis. The aim of this protocol is to assess oral microbiota diversity and circulating inflammatory profile in STEMI patients stratified according to an inflammation-based risk scoring system. We found that Bacteriodetes phylum was the most abundant in STEMI patients, and Prevotella was the most abundant genus, with a higher proportion in periodontitis patients. In fact, Prevotella genus was found to correlate positively and significantly with elevated IL-6 concentration. Our study defined a non-causal association inferred between the cardiovascular risk of STEMI patients, determined by changes in the oral microbiota that influence the development of periodontal disease and its relationship with the exacerbation of the systemic inflammatory response.

Establishing a National Cardiovascular Disease Surveillance System in the United States Using Electronic Health Record Data: Key Strengths and Limitations

Cardiovascular disease surveillance involves quantifying the evolving population-level burden of cardiovascular outcomes and risk factors as a data-driven initial step followed by the implementation of interventional strategies designed to alleviate this burden in the target population. Despite widespread acknowledgement of its potential value, a national surveillance system dedicated specifically to cardiovascular disease does not currently exist in the United States. Routinely collected health care data such as from electronic health records (EHRs) are a possible means of achieving national surveillance. Accordingly, this article elaborates on some key strengths and limitations of using EHR data for establishing a national cardiovascular disease surveillance system. Key strengths discussed include the: (1) ubiquity of EHRs and consequent ability to create a more "national" surveillance system, (2) existence of a common data infrastructure underlying the health care enterprise with respect to data domains and the nomenclature by which these data are expressed, (3) longitudinal length and detail that define EHR data when individuals repeatedly patronize a health care organization, and (4) breadth of outcomes capable of being surveilled with EHRs. Key limitations discussed include the: (1) incomplete ascertainment of health information related to health care-seeking behavior and the disconnect of health care data generated at separate health care organizations, (2) suspect data quality resulting from the default information-gathering processes within the clinical enterprise, (3) questionable ability to surveil patients through EHRs in the absence of documented interactions, and (4) the challenge in interpreting temporal trends in health metrics, which can be obscured by changing clinical and administrative processes.

Management and outcomes over time of acute coronary syndrome patients at particularly high cardiovascular risk : the ACSIS registry-based retrospective study

OBJECTIVE

Some patients following acute coronary syndrome (ACS) are at particularly increased risk for recurrent cardiovascular events. We aimed to examine temporal trends in the management and outcomes across the spectrum of these particularly high-risk patients.

DESIGN AND SETTING

A retrospective study based on the ACS Israeli survey (ACSIS) registry, a multicentre prospective national registry, taking place biennially in 25 cardiology departments in Israel. Temporal trends were examined in the early (2002-2008) and late (2010-2018) time periods.

PARTICIPANTS

Consecutive patients with ACS enrolled in the ACSIS registry were stratified according to the Thrombolysis in Myocardial Infarction Risk Score for secondary prevention (TRS2^°P) to high (TRS2^°p=3), very high (TRS2^°p=4) or extremely high risk (TRS2^°p=5-9). Patients with TRS2^°p<3 were excluded. From the initial 15 196 patients enrolled, 5359 patients were eventually included.Clinical outcome measures included 30-day major adverse cardiovascular events (MACE) and 1-year mortality.

RESULTS

Among 5359 patients (50% high risk, 30% very high risk and 20% extremely high risk), those with a higher risk were older, had more comorbidities, presented more with non-ST elevation myocardial infarction, and were treated less often with guideline-recommended pharmacotherapy and percutaneous coronary intervention. Over time, treatment has improved in all risk strata, and the rate of 30-day MACE has significantly decreased in all risk groups (from 21% to 10%, from 22% to 15%, and from 26% to 16%, in high, very high and extremely high-risk groups, respectively, p<0.001 for each). However, 1-year mortality decreased only among high and very high-risk patients, and not among extremely high-risk patients in whom 1-year mortality rates remained very high (28.7% vs 28.9%, p=1).

CONCLUSION

Within a particularly high-risk cohort of patients with ACS, treatment has significantly progressed over almost 2 decades. While short-term outcomes have improved in all risk groups, 1-year mortality has remained unchanged in extremely high-risk patients with ACS.

Constructing Epidemiologic Cohorts from Electronic Health Record Data

In the United States, electronic health records (EHR) are increasingly being incorporated into healthcare organizations to document patient health and services rendered. EHRs serve as a vast repository of demographic, diagnostic, procedural, therapeutic, and laboratory test data generated during the routine provision of health care. The appeal of using EHR data for epidemiologic research is clear: EHRs generate large datasets on real-world patient populations in an easily retrievable form permitting the cost-efficient execution of epidemiologic studies on a wide array of topics. Constructing epidemiologic cohorts from EHR data involves as a defining feature the development of data machinery, which transforms raw EHR data into an epidemiologic dataset from which appropriate inference can be drawn. Though data machinery includes many features, the current report focuses on three aspects of machinery development of high salience to EHR-based epidemiology: (1) selecting study participants; (2) defining “baseline” and assembly of baseline characteristics; and (3) follow-up for future outcomes. For each, the defining features and unique challenges with respect to EHR-based epidemiology are discussed. An ongoing example illustrates key points. EHR-based epidemiology will become more prominent as EHR data sources continue to proliferate. Epidemiologists must continue to improve the methods of EHR-based epidemiology given the relevance of EHRs in today’s healthcare ecosystem.

Cardiovascular Family History Increases the Risk of Disease Recurrence After a First Myocardial Infarction

Background

Family history of atherosclerotic cardiovascular disease (ASCVD) is easily accessible and captures genetic cardiovascular risk, but its prognostic value in secondary prevention is unknown.

Methods and Results

We followed 25 615 patients registered in SWEDEHEART (Swedish Web‐System for Enhancement and Development of Evidence‐Based Care in Heart Disease Evaluated According to Recommended Therapies) from their 1‐year revisit after a first‐time myocardial infarction during 2005 to 2013, until December 31, 2018. Data on relatives, diagnoses and socioeconomics were extracted from national registers. The association between family history and recurrent ASCVD was studied with Cox proportional‐hazard regression, adjusting for risk factors and socioeconomics. A family history of ASCVD was defined as hospitalization due to myocardial infarction, angina with coronary revascularization, stroke, or cardiovascular death in ≥1 parent or full sibling, with early‐onset defined as disease‐onset before 55 years in men and 65 in women. The additional discriminatory value of family history to Thrombolysis in Myocardial Infarction Risk Score for Secondary Prevention was assessed with Harrell’s C‐index difference and reclassification was studied with continuous net reclassification improvement. Family history of early‐onset ASCVD in ≥1 first‐degree relative was present in 2.3% and was associated with recurrent ASCVD (hazard ratio [HR] 1.31; 95% CI, 1.17–1.47), fully adjusted for risk factors (HR, 1.22; 95% CI, 1.05–1.42). Early‐onset family history improved the discriminatory ability of the Thrombolysis in Myocardial Infarction Risk Score for Secondary Prevention, with Harrell’s C improving 0.003 points (95% CI, 0.001–0.005) from initial 0.587 (95% CI, 0.576–0.595) and improved reclassification (continuous net reclassification improvement 2.1%, P<0.001).

Conclusions

Family history of early‐onset ASCVD is associated with recurrent ASCVD after myocardial infarction, independently of traditional risk factors and improves secondary risk prediction. This may identify patients to target for intensified secondary prevention.

Association of clinical trial participation after myocardial infarction with socioeconomic status, clinical characteristics, and outcomes

Aims

To investigate whether participants in clinical trials after myocardial infarction (MI) are representable for the post-MI population concerning characteristics, secondary prevention, and prognosis.

Methods and results

Cohort study on 31 792 attendants to 1-year revisits after MI throughout Sweden (n = 2941 clinical trial participants) between 2008 and 2013 identified in the Swedish Web-System for Enhancement and Development of Evidence-Based Care in Heart Disease Evaluated According to Recommended Therapies (SWEDEHEART). Individual-level data on socioeconomic status (SES) (disposable income, educational level, and marital status) and outcomes (first recurrent non-fatal MI, coronary heart disease death, fatal or non-fatal stroke until study end 2018) were linked from other national registries. Trial participants were more likely to be men [risk ratio 1.09; 95% confidence interval (CI) 1.07–1.11], and married (1.07; 1.04–1.10), have a highest-quintile income (1.42; 1.36–1.48), and post-secondary education (1.25; 1.18–1.33), while less likely to have a history of MI (0.88; 0.80–0.97), be persistent smokers (0.83; 0.75–0.92) and have left ventricular dysfunction (0.59; 0.44–0.79) compared to non-participants. During a mean 6.7-year follow-up, 5206 outcome events occurred. Risk was lower in trial participants (hazard ratio 0.80; 95% CI 0.72–0.89), also after adjusting for clinical characteristics and post-MI therapies (0.85; 0.77–0.94) and additionally for SES (0.88; 0.79–0.97).

Conclusions

Clinical trial participants post-MI are more often male, have higher SES, a more advantageous risk profile, and better prognosis. Additional unmeasured participation bias was implied. Questionable external validity of post-MI trials highlights the importance of complementary studies using real-world data.

Updated antithrombotic strategies to reduce the burden of cardiovascular recurrences in patients with chronic coronary syndrome

Despite recent achievements in secondary cardiovascular prevention, the risk of further events in patients with chronic coronary syndromes (CCS) remains elevated. Highest risk is seen in patients with recurrent events, comorbidities or multisite atherosclerosis. Optimising antithrombotic strategies in this setting may significantly improve outcomes. The higher the baseline risk, the higher the absolute event reduction with approaches using combined antithrombotic treatments. Tailoring such strategies to the individual patient risk appears crucial to achieve net benefit (i.e., substantial ischaemic event prevention at a limited cost in terms of bleeding). This paper focuses on antithrombotic and non-pharmacological approaches to secondary cardiovascular disease prevention in CCS. In particular, we critically review current evidence on the use of dual antithrombotic therapy, including the newest approach of aspirin plus low-dose anticoagulation and its net clinical outcome according to baseline risk.

Sequential Pattern Mining to Predict Medical In-Hospital Mortality from Administrative Data: Application to Acute Coronary Syndrome

Prediction of a medical outcome based on a trajectory of care has generated a lot of interest in medical research. In sequence prediction modeling, models based on machine learning (ML) techniques have proven their efficiency compared to other models. In addition, reducing model complexity is a challenge. Solutions have been proposed by introducing pattern mining techniques. Based on these results, we developed a new method to extract sets of relevant event sequences for medical events' prediction, applied to predict the risk of in-hospital mortality in acute coronary syndrome (ACS). From the French Hospital Discharge Database, we mined sequential patterns. They were further integrated into several predictive models using a text string distance to measure the similarity between patients' patterns of care. We computed combinations of similarity measurements and ML models commonly used. A Support Vector Machine model coupled with edit-based distance appeared as the most effective model. We obtained good results in terms of discrimination with the receiver operating characteristic curve scores ranging from 0.71 to 0.99 with a good overall accuracy. We demonstrated the interest of sequential patterns for event prediction. This could be a first step to a decision-support tool for the prevention of in-hospital death by ACS.

Validation of the atherothrombotic risk score for secondary prevention in patients with acute myocardial infarction: the J-MINUET study

Thrombolysis in Myocardial Infarction Risk Score for Secondary Prevention (TRS2°P) is a contemporary risk scoring system for secondary prevention based on nine clinical factors. However, this scoring system has not been validated in other populations. The aim of this study was to validate the TRS2°P in patients with acute myocardial infarction (AMI) treated with primary percutaneous coronary intervention (PCI) in a nationwide registry cohort. Among 3283 consecutive patients with AMI enrolled in the Japanese registry of acute Myocardial INfarction diagnosed by Universal dEfiniTion (J-MINUET), a total of 2611 patients who underwent primary PCI were included in this study. The performance of the TRS2°P to predict major adverse cardiovascular events (MACE) composed of all-cause death, non-fatal MI, and non-fatal stroke up to 3 years in the present cohort was evaluated. The TRS2°P had modest discriminative performance in this J-MINUET cohort with a c-statistic of 0.63, similar to that in the derived cohort (TRA2°P-TIMI50, c-statistic 0.67). A strong graded relationship between the TRS2°P and 3-year cardiovascular event rates was also observed in the J-MINUET cohort. Age ≥ 75 years, Killip ≥ 2, prior stroke, peripheral artery disease, anemia, and non-ST-elevation myocardial infarction were identified as independent factors for the incidence of MACE. The TRS2°P modestly predicted secondary cardiovascular events among patients with AMI treated by primary PCI in a nationwide cohort of Japan. Further studies are needed to develop a novel risk score better predicting secondary cardiovascular events.

The incremental value of angiographic features for predicting recurrent cardiovascular events: Insights from the Duke Databank for Cardiovascular Disease

BACKGROUND AND AIMS

Identifying patient subgroups with cardiovascular disease (CVD) at highest risk for recurrent events remains challenging. Angiographic features may provide incremental value in risk prediction beyond clinical characteristics.

METHODS

We included all cardiac catheterization patients from the Duke Databank for Cardiovascular Disease with significant coronary artery disease (CAD; 07/01/2007-12/31/2012) and an outpatient follow-up visit with a primary care physician or cardiologist in the same health system within 3 months post-catheterization. Follow-up occurred for 3 years for the primary major adverse cardiovascular event endpoint (time to all-cause death, myocardial infarction [MI], or stroke). A multivariable model to predict recurrent events was developed based on clinical variables only, then adding angiographic variables from the catheterization. Next, we compared discrimination of clinical vs. clinical plus angiographic risk prediction models.

RESULTS

Among 3366 patients with angiographically-defined CAD, 633 (19.2%) experienced cardiovascular events (death, MI, or stroke) within 3 years. A multivariable model including 18 baseline clinical factors and initial revascularization had modest ability to predict future atherosclerotic cardiovascular disease events (c-statistic = 0.716). Among angiographic predictors, number of diseased vessels, left main stenosis, left anterior descending stenosis, and the Duke CAD Index had the highest value for secondary risk prediction; however, the clinical plus angiographic model only slightly improved discrimination (c-statistic = 0.724; delta 0.008). The net benefit for angiographic features was also small, with a relative integrated discrimination improvement of 0.05 (95% confidence interval: 0.03-0.08).

CONCLUSIONS

The inclusion of coronary angiographic features added little incremental value in secondary risk prediction beyond clinical characteristics.

Fibrinolysis Therapy Combined with Deferred PCI versus Primary Angioplasty for STEMI Patients During the COVID-19 Pandemic: Preliminary Results from a Single Center

Introduction

The efficacy of fibrinolysis therapy with deferred percutaneous coronary angioplasty (FPCI) versus primary angioplasty (PPCI) during the coronavirus disease 2019 (COVID-19) pandemic is unclear when medical quarantine is needed.

Patients and Methods

Acute ST segment elevation myocardial infarction (STEMI) patients underwent PPCI after finishing the screening protocol from January 23, 2020 to June 10, 2020 while FPCI was applied when COVID-19-confirmed cases reoccurred in Beijing near our hospital from June 11, 2020 to July 20, 2020. The door-to-balloon time (DTB) or door-to-needle time (DTN) as well as in-hospital adverse clinical outcomes were compared between the two groups. A propensity score-matched (PSM) analysis was performed to diminish the potential influence of confounding factors on the clinical outcomes.

Results

A total of 126 STEMI patients underwent PPCI after finishing the screening protocol and 17 patients received FPCI before PSM. Patients who received FPCI were younger than patients who underwent PPCI (50.8±14.0 versus 64.1±14.2 years, p=0.001), and chronic kidney disease (CKD) was less common in FPCI patients than in patients who underwent PPCI (0% versus 24.6%, p=0.024). The DTN was significantly shorter than DTB (25.8±4.2 versus 61.1±10.7, p=0.000) before PSM. The DTN was significantly shorter than DTB (26.9±4.2 versus 64.9±23.6, p=0.000); however, the incidence rate of in-hospital ischemia and bleeding adverse clinical outcomes were comparable between the two groups after PSM.

Conclusion

Fibrinolysis therapy combined with deferred PCI can reduce the ischemia time and has a similar in-hospital adverse clinical outcome rate compared with patients who underwent primary PCI during the COVID-19 pandemic.

Clinical outcomes with high-intensity statins according to atherothrombotic risk stratification after acute myocardial infarction: The FAST-MI registries

BACKGROUND

Current guidelines strongly recommend high-intensity statin therapy after acute myocardial infarction.

AIMS

To analyse the relationship between prescription of high-intensity statin therapy at discharge and long-term clinical outcomes according to risk level defined by the Thrombolysis In Myocardial Infarction Risk Score for Secondary Prevention (TRS-2P) after acute myocardial infarction.

METHODS

We used data from the FAST-MI 2005 and 2010 registries - two nationwide French surveys including 7839 consecutive patients with acute myocardial infarction. Level of risk was stratified in three groups using the TRS-2P score: Group 1 (low risk; TRS-2P=0-1); Group 2 (intermediate risk; TRS-2P=2); and Group 3 (high risk; TRS-2P≥3).

RESULTS

Among the 7348 patients discharged alive with a TRS-2P available, high-intensity statin therapy was used in 41.3% in Group 1, 31.3% in Group 2 and 18.5% in Group 3. After multivariable adjustment, high-intensity statin therapy was associated with a non-significant decrease in major adverse cardiovascular events (death, stroke or recurrent myocardial infarction) at 5 years in the overall population compared with that in patients receiving intermediate- or low-intensity statins or without a statin prescription (14.3% vs 29.6%; hazard ratio 0.94, 95% confidence interval 0.81-1.09; P=0.42). In absolute terms, the decrease in major adverse cardiovascular events was positively correlated with risk level (Group 1: 8.1% vs 10.7%; Group 2: 14.8% vs 21.6%; Group 3: 30.8% vs 51.6%). However, after adjustment, the benefits of high-intensity statin therapy were associated with lower mortality only in high-risk patients (hazard ratio 0.79, 95% confidence interval 0.64-0.97; P=0.02).

CONCLUSIONS

High-intensity statin therapy at discharge after acute myocardial infarction was associated in absolute terms with fewer major adverse cardiovascular events at 5 years, regardless of atherothrombotic risk stratification, although the highest absolute reduction was found in the high-risk TRS-2P class.

Risk Prediction Tool for Assessing the Probability of Death or Myocardial Infarction in Patients With Stable Coronary Artery Disease

Several risk scores in acute coronary syndromes are available, but few models exist for stable coronary artery disease to guide decision-making and prognosis. A multivariate model was developed using 23 baseline candidate variables from the Clinical Outcomes Utilizing Revascularization and Aggressive Drug Therapy EvaluationTrial (n = 2,287 patients). Discrimination of the model was evaluated by the concordance c-index. The procedure was validated using 100 random half samples. We identified 9 independent predictors of death or myocardial infarction (MI) during a 5-year follow-up. The following predictors and points contributing to the risk score were: heart failure (3), number of diseased coronary arteries (1 for each vessel), diabetes (1), age (1 for each 15 years ≥ age 45), previous revascularization (1), current smoking (1), female (1), previous MI (1), and high-density lipoprotein cholesterol (1: 31 to 40 mg/dL; 2: <30 mg/dL). The risk tool had a potential range from 0 to 15, corresponding to 5-year event rates of 5.8% to 56%. C-indices ranged from 0.67 for the full data set to 0.62 for the validating subsamples. Respective observed versus predicted 5-year event rates for 3 predefined risk strata revealed: 30% had a low-risk score of 0 to 3 (9.3% vs 9.3%, or 1.9%/year); 59% had an intermediate-risk score of 4-6 (18.0% vs 18.1%, or 3.6%/year); and 11% had a high-risk score of 7-11 (36% vs 36.5%, or 7.2%/year). This stable coronary artery disease risk score permitted a prognostic assessment of 5-year probability of death or MI with an approximate 4-fold range in event rates from the lowest (9.3%) to the highest (36%) terciles, thus enabling better clinical practice decisions that allow physicians to tailor the intensity of treatment to the level of risk.

Design and rationale of the North Indian ST-Segment Elevation Myocardial Infarction Registry: A prospective cohort study

ST‐segment elevation myocardial infarction (STEMI) is associated with increased mortality and morbidity. Although remarkable progress has been made in the management of STEMI in high‐income countries, contemporary data to evaluate processes and outcomes of STEMI care in India is limited. The North Indian ST‐segment elevation myocardial infarction (NORIN STEMI) registry is a prospective cohort study based at government funded and largely free of cost tertiary medical centers in New Delhi, India. These hospitals serve a large proportion of the patients with lower socioeconomic status presenting from multiple states in India, as many centers in these states lack adequate specialized cardiovascular care. The study has been approved by the Institutional Review Boards of each institution and informed consent has been obtained from study participants. The NORIN STEMI registry aims to provide important insights regarding contemporary risk factors profiles, practice patterns, and prognosis in patients with STEMI in an underserved population in North India. These findings may identify opportunities to improve the outcomes of patients with STEMI in India.

Long-Term Risk Stratification of Patients Undergoing Coronary Angiography According to the Thrombolysis in Myocardial Infarction Risk Score for Secondary Prevention

Background

A risk score for secondary prevention after myocardial infarction (Thrombolysis in Myocardial Infarction Risk Score for Secondary Prevention [TRS2P]), based on 9 established clinical factors, was recently developed from the TRA2°P‐TIMI50 (Thrombin Receptor Antagonist in Secondary Prevention of Atherothrombotic Ischemic Events) trial. We aimed to evaluate the performance of TRS2P for predicting long‐term outcomes in real‐world patients presenting for coronary angiography.

Methods and Results

A retrospective analysis of 13 593 patients referred to angiography for the assessment or treatment of coronary disease was performed. Risk stratification for 10‐year major adverse cardiovascular events was performed using the TRS2P, divided into 6 categories (0 to ≥5 points), and in relation to the presenting coronary syndrome. All clinical variables, except prior coronary artery bypass grafting, were independent risk predictors. The annualized incidence rate of major adverse cardiovascular events increased in a graded manner with increasing TRS2P, ranging from 1.65 to 16.6 per 100 person‐years (P_trend<0.001). Compared with the lowest‐risk group (risk indicators=0), the hazard ratios (95% CIs) for 10‐year major adverse cardiovascular events were 1.60 (95% CI, 1.36–1.89), 2.58 (95% CI, 2.21–3.02), 4.31 (95% CI, 3.69–5.05), 6.43 (95% CI, 5.47–7.56), and 10.03 (95% CI, 8.52–11.81), in those with 1, 2, 3, 4 and ≥5 risk indicators, respectively. Risk gradation was consistent among individual clinical end points. TRS2P showed reasonable discrimination with C‐statistics of 0.693 for major adverse cardiovascular events and 0.758 for mortality. The graded relationship between the risk score and event rates was observed in both patients presenting with acute and nonacute coronary syndromes.

Conclusions

The use of TRS2P, a simple risk score based on routinely collected variables, enables risk stratification in patients undergoing coronary angiography. Its predictive value was demonstrated in a real‐world setting with long‐term follow‐up and regardless of the acuity of coronary presentation.

Lipid levels achieved after a first myocardial infarction and the prediction of recurrent atherosclerotic cardiovascular disease

BACKGROUND

Low density lipoprotein cholesterol (LDL-C) goals post-myocardial infarction (MI) are debated, and the significance of achieved blood lipid levels for predicting a first recurrent atherosclerotic cardiovascular disease (rASCVD) event post-MI is unclear.

METHODS

This was a cohort study on first-ever MI survivors aged ≤76 years attending 4-14 week revisits throughout Sweden 2005-2013. Personal-level data was collected from SWEDEHEART and linked national registries. Exposures were quintiles of LDL-C, high density lipoprotein cholesterol (HDL-C), total cholesterol (TC), and triglycerides (TGs) at the revisit. Group level associations with rASCVD (nonfatal MI or coronary heart disease death or fatal or nonfatal ischemic stroke) were estimated in Cox regression models. Predictive capacity was estimated by differences in C-statistic, integrated discriminatory improvement, and net reclassification improvement when adding each blood lipid to a validated risk prediction model.

RESULTS

25,643 patients, 96.9% on statin therapy, were followed during a mean of 4.1 years. rASCVD occurred in 2173 patients (8.5%). For LDL-C and TC, moderate associations with rASCVD were observed only in the 5th vs. the lowest (referent) quintiles. For TGs and HDL-C increased risks were observed in quintiles 3-5 vs. the lowest. Minor predictive improvements were observed when lipid fractions were added to the risk model but the discrimination overall was poor (C-statistics <0.6).

CONCLUSIONS

Our data question the importance of LDL-C levels achieved at first revisit post-MI for decisions on continued treatment intensity considering the weak association with rASCVD observed in this post-MI cohort.

Optimal Non-invasive Strategies to Reduce Recurrent Atherosclerotic Cardiovascular Disease Risk

PURPOSE OF REVIEW

Cardiovascular disease (CVD) remains the leading cause of death worldwide, with coronary artery disease (CAD) responsible for the vast majority of these deaths. Incidence is increasing in developing countries, and prevalence is increasing globally as populations age. Once CAD is manifest, recurrent event risk remains high.

RECENT FINDINGS

Multiple therapeutic avenues have had significant recent developments, including diet, low-density lipoprotein cholesterol management, triglycerides, hypoglycemic agents, antiplatelet agents, and oral anticoagulants. Combined approaches involving specific, tailored lifestyle, and pharmacological interventions will provide the most effective strategy for reducing the risk of recurrent CVD events. Here, we review risk prediction and non-invasive non-pharmacologic and pharmacologic approaches to mitigate residual coronary artery disease risk.

The Effect of the New Eighth Edition Breast Cancer Staging System on 100 Consecutive Patients

Background

In October 2016 the American Joint Committee on Cancer published the early eighth edition breast cancer prognostic staging system, incorporating biomarkers into previously accepted staging. The updated and current eighth edition became effective nationwide in January 2018 after a large update to its staging guidelines. This study's aim was to compare patients' anatomic seventh edition (anatomic), early eighth (pre-update, prognostic), and current eighth (post-update, prognostic) pathological stages and to assess the utility of recent inclusions to staging criteria. Additionally, we observed how the aforementioned stage changes aligned with breast cancer histologic subtypes.

Methods

An Institutional Review Board (IRB)-approved retrospective chart review was performed. Inclusion criteria included female patients between the ages of 35 to 95 years with a diagnosis of invasive ductal or lobular carcinoma of the breast (n = 100) at three Hackensack Meridian Health hospitals. The study evaluated any trends in patients' stage changes between the seventh edition, early eighth edition, and current eighth edition breast cancer staging guidelines. Breast cancer restaging was performed using a novel staging tool on Microsoft Excel.

Results

Only 26% of patients' stages changed when comparing the seventh edition stage vs. current eighth edition prognostic staging, most of which were downstaged. When comparing the seventh with early eighth edition prognostic staging, 38% of the patients' stages changed, with a majority of them being upstaged. Lastly, 95% of total stage changes were downstages between the early eighth and current eighth edition staging guidelines.

Conclusions

When comparing the seventh edition vs. current eighth edition staging, few patients (especially those with early stage cancer) underwent a stage change. However, there were significant changes in stage when comparing early eighth vs. current eighth stages. Considering these changes were mostly downstages and many patients reverted to their original seventh edition stage, the current eighth edition is based on a personalized, less radical staging approach, one that is more synonymous with original seventh edition staging.

The 2018 Cholesterol Management Guidelines: Topics in Secondary ASCVD Prevention Clinicians Need to Know

PURPOSE OF REVIEW

The 2018 ACC/AHA Multisociety blood cholesterol guidelines provide updated recommendations based on contemporary evidence on the management of serum cholesterol for the prevention of atherosclerotic cardiovascular disease (ASCVD) events. This review discusses clinically important topics in the new guidelines related to secondary ASCVD prevention.

RECENT FINDINGS

Since the 2013 ACC/AHA blood cholesterol guidelines, several large randomized control trials involving ezetimibe and proprotein convertase subtilisin/kexin type 9 (PCSK9) inhibitors (evolocumab and alirocumab) have been published. The trials provided evidence that these non-statin, LDL-cholesterol lowering agents are efficacious in reducing risk for ASCVD events in patients with clinical ASCVD. The 2018 guidelines incorporate these new findings into updated clinical recommendations on therapeutic strategies related to the use of ezetimibe and PCSK9 inhibitors. The guidelines also recommend risk stratification of secondary prevention patients to identify those at very high-risk of ASCVD events as these patients would derive the most absolute risk reduction from the addition of non-statin therapies. While high-intensity statins remain the first-line treatment to prevent recurrent ASCVD events in secondary prevention patients, ezetimibe and PCSK9 inhibitors are evidence-based non-statin agents that can be used when residual on top of maximally tolerated statin therapy in patients deemed to be at very-high risk of recurrent ASCVD events.

Atherothrombotic risk stratification after acute myocardial infarction: The Thrombolysis in Myocardial Infarction Risk Score for Secondary Prevention in the light of the French Registry of Acute ST Elevation or non-ST Elevation Myocardial Infarction registries

BACKGROUND

Guidelines recommend using risk stratification tools in acute myocardial infarction (AMI) to assist decision-making. The Thrombolysis in Myocardial Infarction Risk Score for Secondary Prevention (TRS-2P) has been recently developed to characterize long-term risk in patients with MI.

HYPOTHESIS

We aimed to assess the TRS-2P in the French Registry of Acute ST Elevation or non-ST elevation MI registries.

METHODS

We used data from three 1-month French registries, conducted 5 years apart, from 2005 to 2015, including 13 130 patients with AMI (52% ST-elevation myocardial infarction [STEMI]). Atherothrombotic risk stratification was performed using the TRS-2P score. Patients were divided in to three categories: G1 (low-risk, TRS-2P = 0/1); G2 (intermediate-risk, TRS-2P = 2); and G3 (high-risk, TRS-2P ≥ 3). Baseline characteristics and outcomes were analyzed according to TRS-2P categories.

RESULTS

A total of 12 715 patients (in whom TRS-2P was available) were included. Prevalence of G1, G2, and G3 was 43%, 24%, and 33% respectively. Clinical characteristics and management significantly differed according to TRS-2P categories. TRS-2P successfully defined residual risk of death at 1 year (C-statistic 0.78): 1-year survival was 98% in G1, 94% in G2, and 78.5% in G3 (P < 0.001). Using Cox multivariate analysis, G3 was independently associated with higher risk of death at 1 year (hazard ratio [HR] 4.61; 95% confidence interval [CI]: 3.61-5.89), as G2 (HR 2.08; 95% CI: 1.62-2.65) compared with G1. The score appeared robust and correlated well with mortality in STEMI and NSTEMI populations, as well as in each cohort separately.

CONCLUSIONS

The TRS-2P appears to be a robust risk score, identifying patients at high risk after AMI irrespective of the type of MI and historical period.

Appropriate secondary prevention and clinical outcomes after acute myocardial infarction according to atherothrombotic risk stratification: The FAST-MI 2010 registry

BACKGROUND

Full secondary prevention medication regimen is often under-prescribed after acute myocardial infarction.

DESIGN

The purpose of this study was to analyse the relationship between prescription of appropriate secondary prevention treatment at discharge and long-term clinical outcomes according to risk level defined by the Thrombolysis In Myocardial Infarction (TIMI) Risk Score for Secondary Prevention (TRS-2P) after acute myocardial infarction.

METHODS

We used data from the 2010 French Registry of Acute ST-Elevation or non-ST-elevation Myocardial Infarction (FAST-MI) registry, including 4169 consecutive acute myocardial infarction patients admitted to cardiac intensive care units in France. Level of risk was stratified in three groups using the TRS-2P score: group 1 (low-risk; TRS-2P=0/1); group 2 (intermediate-risk; TRS-2P=2); and group 3 (high-risk; TRS-2P≥3). Appropriate secondary prevention treatment was defined according to the latest guidelines (dual antiplatelet therapy and moderate/high dose statins for all; new-P2Y12 inhibitors, angiotensin-converting-enzyme inhibitor/angiotensin-receptor-blockers and beta-blockers as indicated).

RESULTS

Prevalence of groups 1, 2 and 3 was 46%, 25% and 29% respectively. Appropriate secondary prevention treatment at discharge was used in 39.5%, 37% and 28% of each group, respectively. After multivariate adjustment, evidence-based treatments at discharge were associated with lower rates of major adverse cardiovascular events (death, re-myocardial infarction or stroke) at five years especially in high-risk patients: hazard ratio = 0.82 (95% confidence interval: 0.59-1.12, p = 0.21) in group 1, 0.74 (0.54-1.01; p = 0.06) in group 2, and 0.64 (0.52-0.79, p < 0.001) in group 3.

CONCLUSIONS

Use of appropriate secondary prevention treatment at discharge was inversely correlated with patient risk. The increased hazard related to lack of prescription of recommended medications was much larger in high-risk patients. Specific efforts should be directed at better prescription of recommended treatment, particularly in high-risk patients.

International Validation of the Thrombolysis in Myocardial Infarction (TIMI) Risk Score for Secondary Prevention in Post-MI Patients: A Collaborative Analysis of the Chronic Kidney Disease Prognosis Consortium and the Risk Validation Scientific Committee

BACKGROUND

The Thrombolysis in Myocardial Infarction (TIMI) Risk Score for Secondary Prevention (TRS2°P), a 0-to-9-point system based on the presence/absence of 9 clinical factors, was developed to classify the risk of major adverse cardiovascular events (MACE) (a composite of cardiovascular death, recurrent myocardial infarction, or ischemic stroke) among patients with a recent myocardial infarction. Its performance has not been examined internationally outside of a clinical trial setting.

METHODS AND RESULTS

We evaluated the performance of TRS2°P for predicting MACE in 53 599 patients with recent myocardial infarction in 5 international cohorts from New Zealand, South Korea, Sweden, and the United States participating in the Chronic Kidney Disease Prognosis Consortium. Overall, there were 19 444 cases of MACE across 5 cohorts over a mean follow-up of 5 years, and the overall MACE rate ranged from 5.0 to 18.4 (per 100 person-years). The TRS2°P showed modest calibration (Brier score ranged from 0.144 to 0.173) and discrimination (C-statistics >0.61 in all studies except 1 from Korea with 0.55) across cohorts relative to its original Brier score of 0.098 and C-statistic of 0.67 in the derived data set. Although there was some heterogeneity across cohorts, the 9 predictors in the TRS2°P were generally associated with higher MACE risk, with strongest associations observed (meta-analyzed adjusted hazard ratio 1.6-1.7) for history of heart failure, age ≥75 years, and prior stroke, followed by peripheral artery disease, kidney dysfunction, diabetes mellitus, and hypertension (hazard ratio 1.3-1.4). Prior coronary bypass graft surgery and smoking did not reach statistical significance (hazard ratio ≈1.1).

CONCLUSIONS

TRS2°P, a simple scoring system with 9 routine clinical factors, was modestly predictive of secondary events when applied in patients with recent myocardial infarction from diverse clinical and geographic settings.