The Role of Frailty in Acute Coronary Syndromes in the Elderly.

BACKGROUND: Myocardial infarction (MI) patients are increasingly older, and common risk scores include chronological age, but do not consider chronic comorbidity or biological age. Frailty status reflects these variables and may be independently correlated with prognosis in this setting. OBJECTIVE: This study investigated the impact of frailty on the prognosis of elderly patients admitted due to MI. METHODS: This prospective and observational study included patients ≥75 years admitted to three tertiary hospitals in Spain due to MI. Frailty assessment was performed at admission using the Survey of Health, Ageing and Retirement in Europe Frailty Index (SHARE-FI) tool. The primary endpoint was the composite of death or non-fatal reinfarction during a follow-up of 1 year. Overall mortality, reinfarction, the composite of death, reinfarction and stroke, major bleeding, and readmission rates were also explored. RESULTS: A total of 285 patients were enrolled. Frail patients (109, 38.2%) were older, with a higher score in the Charlson Comorbidity Index and with a higher risk score addressed in the GRACE and CRUSADE indexes. On multivariate analysis including GRACE, CRUSADE, maximum creatinine level, culprit lesion revascularization, complete revascularization, and dual antiplatelet therapy at discharge, frailty was an independent predictor of the composite of death and reinfarction (2.81, 95% CI 1.16-6.78) and overall mortality (3.07, 95% CI 1.35-6.98). CONCLUSION: Frailty is an independent prognostic marker of the composite of mortality and reinfarction and of overall mortality in patients aged ≥75 years admitted due to MI.

Personalized Therapy and Clinical Outcome for Heart Failure.

Heart failure (HF) is a complex clinical syndrome that results from the structural and/or functional impairment of systolic function or ventricular filling, which in turn causes elevated intracardiac pressure and/or inadequate cardiac output at rest and/or during exercise [...].

Serum microRNAs are key predictors of long-term heart failure and cardiovascular death after myocardial infarction.

BACKGROUND: Patients with acute myocardial infarction (MI) are at high risk of upcoming events, in particular heart failure (HF), but reliable stratification methods are lacking. Our goal was to evaluate the potential role of circulating miRNAs as prognostic biomarkers in patients presenting with MI. METHODS AND RESULTS: We conducted a prospective study among 311 consecutive patients hospitalized with MI (65% ST-segment elevation MI & median age of 55 years) with long-term follow-up. An initial screening was conducted to select candidate miRNAs, with subsequent study of 14 candidate miRNAs. The primary outcome was the composite of hospital admission for HF or cardiovascular death. During a mean follow-up of 2.1 years miR-21-5p, miR-23a-3p, miR27b-3p, miR-122-5p, miR210-3p, and miR-221-3p reliably predicted the primary outcome. Multivariate Cox regression analyses highlighted that miR-210-3p [hazard ratio (HR) 2.65 per 1 SD increase, P < 0.001], miR-23a-3p (HR 2.11 per 1 SD increase, P < 0.001), and miR-221-3p (HR 2.03 per 1 SD increase, P < 0.001) were able to accurately predict the primary outcome, as well as cardiovascular death, HF hospitalizations, and long-term New York Heart Association (NYHA) functional class. These three miRNAs clearly improved the performance of multivariate clinical models: ΔC-statistic = 0.10 [95% confidence interval (CI), 0.03-0.17], continuous net reclassification index = 34.8% (95%CI, 5.8-57.4%), and integrated discrimination improvement (P < 0.001). CONCLUSIONS: This is the largest study evaluating the prognostic value of circulating miRNAs for HF-related events among patients with MI. We show that several miRNAs predict HF hospitalizations, cardiovascular mortality, and poor long-term NYHA status and improve current risk prediction methods.

Myocardial injury determination improves risk stratification and predicts mortality in COVID-19 patients.

BACKGROUND: Despite being associated with worse prognosis in patients with COVID-19, systematic determination of myocardial injury is not recommended. The aim of the study was to study the effect of myocardial injury assessment on risk stratification of COVID-19 patients. METHODS: Seven hundred seven consecutive adult patients admitted to a large tertiary hospital with confirmed COVID-19 were included. Demographic data, comorbidities, laboratory results and clinical outcomes were recorded. Charlson comorbidity index (CCI) was calculated in order to quantify the degree of comorbidities. Independent association of cardiac troponin I (cTnI) increase with outcomes was evaluated by multivariate regression analyses and area under curve. In addition, propensity-score matching was performed to assemble a cohort of patients with similar baseline characteristics. RESULTS: In the matched cohort (mean age 66.76 ± 15.7 years, 37.3% females), cTnI increase above the upper limit was present in 20.9% of the population and was associated with worse clinical outcomes, including all-cause mortality within 30 days (45.1% vs. 23.2%; p = 0.005). The addition of cTnI to a multivariate prediction model showed a significant improvement in the area under the time-dependent receiver operating characteristic curve (0.775 vs. 0.756, DC-statistic = 0.019; 95% confidence interval 0.001-0.037). Use of renin-angiotensin-aldosterone system inhibitors was not associated with mortality after adjusting by baseline risk factors. CONCLUSIONS: Myocardial injury is independently associated with adverse outcomes irrespective of baseline comorbidities and its addition to multivariate regression models significantly improves their performance in predicting mortality. The determination of myocardial injury biomarkers on hospital admission and its combination with CCI can classify patients in three risk groups (high, intermediate and low) with a clearly distinct 30-day mortality.

A genetic risk score predicts recurrent events after myocardial infarction in young adults.

INTRODUCTION AND OBJECTIVES: To evaluate whether a genetic risk score (GRS) improves prediction of recurrent events in young nondiabetic patients presenting with an acute myocardial infarction (AMI) and identifies a more aggressive form of atherosclerosis. METHODS: We conducted a prospective study with consecutive nondiabetic patients aged <55 years presenting with AMI. We performed a genetic test, cardiac computed tomography, and analyzed several biomarkers. We studied the association of a GRS composed of 11 genetic variants and a primary composite endpoint (cardiovascular mortality, a recurrent event, and cardiac hospitalization). RESULTS: A total of 81 patients were studied and followed up for a median of 4.1 years. There were 24 recurrent cardiovascular events. Compared with the general population, study participants had a higher prevalence of 9 out of 11 risk alleles. The GRS was significantly associated with recurrent cardiovascular events, especially when baseline low-density lipoprotein cholesterol (LDL-C) levels were elevated. Compared with the low-risk GRS tertile, the multivariate-adjusted HR for recurrences was 10.2 (95%CI, 1.1-100.3; P=.04) for the intermediate-risk group and was 20.7 (2.4-181.0; P=.006) for the high-risk group when LDL-C was≥2.8mmol/L (≥ 110mg/dL). Inclusion of the GRS improved the C-statistic (ΔC-statistic=0.086), cNRI (continuous net reclassification improvement) (30%), and the IDI (integrated discrimination improvement) index (0.05). Cardiac computed tomography frequently detected coronary calcified atherosclerosis but had limited value for prediction of recurrences. No association was observed between metalloproteinases, GRS and recurrences. CONCLUSIONS: A multilocus GRS may identify individuals at increased risk of long-term recurrences among young nondiabetic patients with AMI and improve clinical risk stratification models, particularly among patients with high baseline LDL-C levels.

Current status of anticoagulation in patients with breast cancer and atrial fibrillation.

OBJECTIVE: Balance between embolic and bleeding risk is challenging among patients with cancer. There is a lack of specific recommendations for the use of antithrombotic therapy in oncologic patients with atrial fibrillation (AF). We compared the embolic and bleeding risk, the preventive management and the incidence of events between patients with and without cancer. We further evaluated the effectiveness and safety of direct oral anticoagulants (DOACs) and vitamin K antagonists (VKAs) within patients with cancer. METHODS AND RESULTS: The AMBER-AF registry is an observational multicentre study that analysed patients with non-valvular AF treated in Oncology and Cardiology Departments in Spain. 1,237 female patients with AF were enrolled: 637 with breast cancer and 599 without cancer. Mean follow-up was 3.1 years. Both groups were similar in age, embolic risk and bleeding risk. Lack of guidelines-recommended therapies was more frequent among patients with cancer. Compared with patients without cancer, adjusted rates of stroke (hazard ratio [95% confidence interval]) in cancer patients were higher (1.56 [1.04-2.35]), whereas bleeding rates remained similar (1.25 [0.95-1.64]). Within the group of patients with cancer, the use of DOACs vs VKAs did not entail differences in the adjusted rates of stroke (0.91 [0.42-1.99]) or severe bleedings (1.53 [0.93-2.53]). CONCLUSIONS: Antithrombotic management of AF frequently differs in patients with breast cancer. While breast cancer is associated with a higher risk of incident stroke, bleeding events remained similar. Patients with cancer treated with DOACs experienced similar rates of stroke and bleeding as those with VKAs.

Multicentre multi-device hybrid imaging study of coronary artery disease: results from the EValuation of INtegrated Cardiac Imaging for the Detection and Characterization of Ischaemic Heart Disease (EVINCI) hybrid imaging population.

AIMS: Hybrid imaging provides a non-invasive assessment of coronary anatomy and myocardial perfusion. We sought to evaluate the added clinical value of hybrid imaging in a multi-centre multi-vendor setting. METHODS AND RESULTS: Fourteen centres enrolled 252 patients with stable angina and intermediate (20-90%) pre-test likelihood of coronary artery disease (CAD) who underwent myocardial perfusion scintigraphy (MPS), CT coronary angiography (CTCA), and quantitative coronary angiography (QCA) with fractional flow reserve (FFR). Hybrid MPS/CTCA images were obtained by 3D image fusion. Blinded core-lab analyses were performed for CTCA, MPS, QCA and hybrid datasets. Hemodynamically significant CAD was ruled-in non-invasively in the presence of a matched finding (myocardial perfusion defect co-localized with stenosed coronary artery) and ruled-out with normal findings (both CTCA and MPS normal). Overall prevalence of significant CAD on QCA (>70% stenosis or 30-70% with FFR≤0.80) was 37%. Of 1004 pathological myocardial segments on MPS, 246 (25%) were reclassified from their standard coronary distribution to another territory by hybrid imaging. In this respect, in 45/252 (18%) patients, hybrid imaging reassigned an entire perfusion defect to another coronary territory, changing the final diagnosis in 42% of the cases. Hybrid imaging allowed non-invasive CAD rule-out in 41%, and rule-in in 24% of patients, with a negative and positive predictive value of 88% and 87%, respectively. CONCLUSION: In patients at intermediate risk of CAD, hybrid imaging allows non-invasive co-localization of myocardial perfusion defects and subtending coronary arteries, impacting clinical decision-making in almost one every five subjects.

Risk Prediction in Aortic Valve Replacement: Incremental Value of the Preoperative Echocardiogram.

BACKGROUND: Risk prediction is a critical step in patient selection for aortic valve replacement (AVR), yet existing risk scores incorporate very few echocardiographic parameters. We sought to evaluate the incremental predictive value of a complete echocardiogram to identify high-risk surgical candidates before AVR. METHODS AND RESULTS: A cohort of patients with severe aortic stenosis undergoing surgical AVR with or without coronary bypass was assembled at 2 tertiary centers. Preoperative echocardiograms were reviewed by independent observers to quantify chamber size/function and valve function. Patient databases were queried to extract clinical data. The cohort consisted of 432 patients with a mean age of 73.5 years and 38.7% females. Multivariable logistic regression revealed 3 echocardiographic predictors of in-hospital mortality or major morbidity: E/e' ratio reflective of elevated left ventricular (LV) filling pressure; myocardial performance index reflective of right ventricular (RV) dysfunction; and small LV end-diastolic cavity size. Addition of these echocardiographic parameters to the STS risk score led to an integrated discrimination improvement of 4.1% (P<0.0001). After a median follow-up of 2 years, Cox regression revealed 5 echocardiographic predictors of all-cause mortality: small LV end-diastolic cavity size; LV mass index; mitral regurgitation grade; right atrial area index; and mean aortic gradient <40 mm Hg. CONCLUSIONS: Echocardiographic measures of LV diastolic dysfunction and RV performance add incremental value to the STS risk score and should be integrated in prediction when evaluating the risk of AVR. In addition, findings of small hypertrophied LV cavities and/or low mean aortic gradients confer a higher risk of 2-year mortality.

Detection of significant coronary artery disease by noninvasive anatomical and functional imaging.

BACKGROUND: The choice of imaging techniques in patients with suspected coronary artery disease (CAD) varies between countries, regions, and hospitals. This prospective, multicenter, comparative effectiveness study was designed to assess the relative accuracy of commonly used imaging techniques for identifying patients with significant CAD. METHODS AND RESULTS: A total of 475 patients with stable chest pain and intermediate likelihood of CAD underwent coronary computed tomographic angiography and stress myocardial perfusion imaging by single photon emission computed tomography or positron emission tomography, and ventricular wall motion imaging by stress echocardiography or cardiac magnetic resonance. If ≥1 test was abnormal, patients underwent invasive coronary angiography. Significant CAD was defined by invasive coronary angiography as >50% stenosis of the left main stem, >70% stenosis in a major coronary vessel, or 30% to 70% stenosis with fractional flow reserve ≤0.8. Significant CAD was present in 29% of patients. In a patient-based analysis, coronary computed tomographic angiography had the highest diagnostic accuracy, the area under the receiver operating characteristics curve being 0.91 (95% confidence interval, 0.88-0.94), sensitivity being 91%, and specificity being 92%. Myocardial perfusion imaging had good diagnostic accuracy (area under the curve, 0.74; confidence interval, 0.69-0.78), sensitivity 74%, and specificity 73%. Wall motion imaging had similar accuracy (area under the curve, 0.70; confidence interval, 0.65-0.75) but lower sensitivity (49%, P<0.001) and higher specificity (92%, P<0.001). The diagnostic accuracy of myocardial perfusion imaging and wall motion imaging were lower than that of coronary computed tomographic angiography (P<0.001). CONCLUSIONS: In a multicenter European population of patients with stable chest pain and low prevalence of CAD, coronary computed tomographic angiography is more accurate than noninvasive functional testing for detecting significant CAD defined invasively. CLINICAL TRIAL REGISTRATION URL: http://www.clinicaltrials.gov. Unique identifier: NCT00979199.