Type 1 Myocardial Infarction in Patients With Acute Ischemic Stroke.

Importance: Elevated values of high-sensitivity cardiac troponin (hs-cTn) are common in patients with acute ischemic stroke and are associated with poor prognosis. However, diagnostic and therapeutic implications in patients with ischemic stroke remain unclear. Objective: To identify factors indicative of myocardial infarction (MI) in patients with acute ischemic stroke and hs-cTn elevation. The primary hypothesis was that a dynamic change of hs-cTn values (>50% change) in patients with acute ischemic stroke indicates MI. Design, Setting, and Participants: This cross-sectional study was a prospective, observational study with blinded end-point assessment conducted across 26 sites in Germany. Patients were included if they had acute ischemic stroke within 72 hours and either (1) highly elevated hs-cTn values on admission (>52 ng/L) or (2) hs-cTn levels above the upper limit of normal and a greater than 20% change at repeated measurements. Patients were enrolled between August 2018 and October 2020 and had 1 year of follow-up. Statistical analysis was performed between April 2022 and August 2023. Exposure: Standardized electrocardiography, echocardiography, and coronary angiography. Main Outcome and Measures: Diagnosis of MI as adjudicated by an independent end-point committee based on the findings of electrocardiography, echocardiography, and coronary angiography. Results: In total, 254 patients were included. End points were adjudicated in 247 patients (median [IQR] age, 75 [66-82] years; 117 were female [47%] and 130 male [53%]). MI was present in 126 of 247 patients (51%) and classified as type 1 MI in 50 patients (20%). Dynamic change in hs-cTn value was not associated with MI in univariable (32% vs 38%; χ2 P = .30) or adjusted comparison (odds ratio, 1.05; 95% CI, 0.31-3.33). The baseline absolute hs-cTn value was independently associated with type 1 MI. The best cutoffs for predicting type 1 MI were at hs-cTn values 5 to 10 times the upper limit normal. Conclusions and Relevance: This study found that in patients with acute ischemic stroke, a dynamic change in hs-cTn values did not identify MI, underscoring that dynamic changes do not identify the underlying pathophysiological mechanism. In exploratory analyses, very high absolute hs-cTn values were associated with a diagnosis of type 1 MI. Further studies are needed how to best identify patients with stroke who should undergo coronary angiography.

PRediction of acute coronary syndrome in acute ischemic StrokE (PRAISE) - protocol of a prospective, multicenter trial with central reading and predefined endpoints.

BACKGROUND: Current guidelines recommend measurement of troponin in acute ischemic stroke (AIS) patients. In AIS patients, troponin elevation is associated with increased mortality and worse outcome. However, uncertainty remains regarding the underlying pathophysiology of troponin elevation after stroke, particularly regarding diagnostic and therapeutic consequences. Troponin elevation may be caused by coronary artery disease (CAD) and more precisely acute coronary syndrome (ACS). Both have a high prevalence in stroke patients and contribute to poor outcome. Therefore, better diagnostic algorithms are needed to identify those AIS patients likely to have ACS or other manifestations of CAD. METHODS/DESIGN: The primary goal of the "PRediction of Acute coronary syndrome in acute Ischemic StrokE" (PRAISE) study is to develop a diagnostic algorithm for prediction of ACS in AIS patients. The primary hypothesis will test whether dynamic high-sensitivity troponin levels determined by repeat measurements (i.e., "rise or fall-pattern") indicate presence of ACS when compared to stable (chronic) troponin elevation. PRAISE is a prospective, multicenter, observational trial with central reading and predefined endpoints guided by a steering committee. Clinical symptoms, troponin levels as well as findings on electrocardiogram, echocardiogram, and coronary angiogram will be recorded and assessed by central academic core laboratories. Diagnosis of ACS will be made by an endpoint adjudication committee. Severe adverse events will be evaluated by a critical event committee. Safety will be judged by a data and safety monitoring board. Follow-up will be conducted at three and twelve months and will record new vascular events (i.e., stroke and myocardial infarction) as well as death, functional and cognitive status. According to sample size calculation, 251 patients have to be included. DISCUSSION: PRAISE will prospectively determine the frequency of ACS and characterize cardiac and coronary pathologies in a large, multicenter cohort of AIS patients with troponin elevation. The findings will elucidate the origin of troponin elevation, shed light on its impact on necessary diagnostic procedures and provide data on the safety and diagnostic yield of coronary angiography early after stroke. Thereby, PRAISE will help to refine algorithms and develop guidelines for the cardiac workup in AIS. TRIAL REGISTRATION: NCT03609385 registered 1st August 2018.

Effect of Escitalopram on All-Cause Mortality and Hospitalization in Patients With Heart Failure and Depression: The MOOD-HF Randomized Clinical Trial.

IMPORTANCE: Depression is frequent in patients with heart failure and is associated with adverse clinical outcomes. Long-term efficacy and safety of selective serotonin reuptake inhibitors in these patients are unknown. OBJECTIVE: To determine whether 24 months of treatment with escitalopram improves mortality, morbidity, and mood in patients with chronic systolic heart failure and depression. DESIGN, SETTING, AND PARTICIPANTS: The Effects of Selective Serotonin Re-Uptake Inhibition on Morbidity, Mortality, and Mood in Depressed Heart Failure Patients (MOOD-HF) study was a double-blind, placebo-controlled randomized clinical trial conducted at 16 tertiary medical centers in Germany. Between March 2009 and February 2014, patients at outpatient clinics with New York Heart Association class II-IV heart failure and reduced left ventricular ejection fraction (<45%) were screened for depression using the 9-item Patient Health Questionnaire. Patients with suspected depression were then invited to undergo a Structured Clinical Interview based on the Diagnostic and Statistical Manual of Mental Disorders (Fourth Edition) to establish the diagnosis. INTERVENTIONS: Patients were randomized 1:1 to receive escitalopram (10-20 mg) or matching placebo in addition to optimal heart failure therapy. Study duration was 24 months. MAIN OUTCOMES AND MEASURES: The composite primary outcome was time to all-cause death or hospitalization. Prespecified secondary outcomes included safety and depression severity at 12 weeks of treatment (including the titration period), which were determined using the 10-item Montgomery-Åsberg Depression Rating Scale (total possible score, 0 to 60; higher scores indicate more severe depression). RESULTS: A total of 372 patients (mean age, 62 years; 24% female) were randomized and had taken at least 1 dose of study medication when the data and safety monitoring committee recommended the trial be stopped early. During a median participation time of 18.4 months (n = 185) for the escitalopram group and 18.7 months (n = 187) for the placebo group, the primary outcome of death or hospitalization occurred in 116 (63%) patients and 119 (64%) patients, respectively (hazard ratio, 0.99 [95% CI, 0.76 to 1.27]; P = .92). The mean Montgomery-Åsberg Depression Rating Scale sum score changed from 20.2 at baseline to 11.2 at 12 weeks in the escitalopram group and from 21.4 to 12.5 in the placebo group (between-group difference, -0.9 [95% CI,-2.6 to 0.7]; P = .26). Safety parameters were comparable between groups. CONCLUSIONS AND RELEVANCE: In patients with chronic heart failure with reduced ejection fraction and depression, 18 months of treatment with escitalopram compared with placebo did not significantly reduce all-cause mortality or hospitalization, and there was no significant improvement in depression. These findings do not support the use of escitalopram in patients with chronic systolic heart failure and depression. TRIAL REGISTRATION: isrctn.com Identifier: ISRCTN33128015.

High Incidence of De Novo and Subclinical Atrial Fibrillation in Patients With Hypertrophic Cardiomyopathy and Cardiac Rhythm Management Device.

INTRODUCTION: Atrial fibrillation (AF) is an important prognostic parameter in patients with hypertrophic cardiomyopathy (HCM). Though cardiac rhythm management (CRM) devices (e.g., ICD, pacemaker or implantable loop recorder) can detect subclinical AF, data describing the incidence of AF are rare. We therefore investigated the incidence and clinical impact of de novo and subclinical AF detected by CRM devices in patients with HCM. METHODS AND RESULTS: In our retrospective single-center study, we included patients with HCM and need for CRM devices. The primary endpoint of the study was the incidence of clinical and subclinical de novo AF. During follow-up, patients were screened for adverse events like stroke, ventricular arrhythmia, heart failure, or death. From 192 HCM patients, 44 patients received a CRM device (38 ICDs, 5 pacemakers, 1 implantable loop recorder). In 14 of these patients (32%), AF had been documented before device implantation. Thirty (68%) patients were free from AF at the time of implantation. During a median follow-up of 595 days (interquartile range, 367-890 days), de novo AF was recorded in 16 of these 30 patients (53%). Fourteen (88%) of the 16 patients with de novo AF were free from any clinical symptoms, so these patients were classified to have subclinical AF. In logistic regression analysis, age was the only significant predictor for an increased risk of AF. CONCLUSION: AF is common in patients with HCM who need a CRM device. More than 50% of these patients develop de novo AF that was predominantly subclinical in our cohort.

Charting a roadmap for heart failure biomarker studies.

Heart failure is a syndrome with a pathophysiological basis that can be traced to dysfunction in several interconnected molecular pathways. Identification of biomarkers of heart failure that allow measurement of the disease on a molecular level has resulted in enthusiasm for their use in prognostication and selection of appropriate therapies. However, despite considerable amounts of information available on numerous biomarkers, inconsistent research methodologies and lack of clinical correlations have made bench-to-bedside translations rare and left the literature with countless publications of varied quality. There is a need for a systematic and collaborative approach aimed at definitively studying the clinical benefits of novel biomarkers. In this review, on the basis of input from academia, industry, and governmental agencies, we propose a systematized approach based on adherence to specific quality measures for studies looking to augment current prediction model or use biomarkers to tailor therapeutics. We suggest that study quality, rather than results, should determine publication and propose a system for grading biomarker studies. We outline the need for collaboration between clinical investigators and statisticians to introduce more advanced statistical methodologies into the field of biomarkers that would allow for data from a large number of variables to be distilled into clinically actionable information. Lastly, we propose the creation of a heart failure biomarker consortium that would allow for a comprehensive list of biomarkers to be concomitantly analyzed in a pooled sample of randomized clinical trials and hypotheses to be generated for testing in biomarker-guided trials. Such a consortium could collaborate in sharing samples to identify biomarkers, undertake meta-analyses on completed trials, and spearhead clinical trials to test the clinical utility of new biomarkers.