Critical Pathways in Cardiology最新文献

The hemodynamic and cardiovascular impacts of coffee and caffeine have long been controversial. However, due to the worldwide popularity of coffee and caffeinated beverages, it is essential to understand how they affect the cardiovascular system, specifically in patients with a history of acute coronary syndrome. This literature review was conducted to explore the cardiovascular effects of coffee and caffeine and their interactions with common drugs after acute coronary syndrome and percutaneous coronary intervention. The evidence suggests that moderate coffee and caffeine consumption is not associated with cardiovascular disease in healthy individuals and patients with a history of acute coronary syndrome. The interactions of coffee or caffeine with common medications after acute coronary syndrome or percutaneous coronary intervention are less studied. However, based on the current human studies in this field, the only interaction is with the protective effect of statins on cardiac ischemia.

Purpose: This review aims to highlight the different types of chemotherapy-induced cardiotoxicity and will discuss the evidence base behind the use of different cardiac biomarkers to predict cardiovascular complications. Additionally, we will review the use of cardiac biomarkers to monitor cardiac outcomes and the role of cardioprotective medications in reducing cardiovascular side effects.

Recent findings: Chemotherapy has been linked to an increased risk of cardiotoxicity and heart failure. Currently, patients receiving chemotherapy undergo echocardiogram before starting chemotherapy and every 6 months to monitor for any decline in cardiac function. We reviewed the current evidence and practice guidelines of monitoring chemotherapy cardiotoxicity.

Summary: Cardio-oncology is a rapidly evolving subspecialty in cardiology, especially with the advent of new chemotherapeutic agents, which have cardiovascular side effects. Early detection of these effects is crucial to prevent life-threatening and irreversible cardiovascular outcomes. Monitoring troponin, pro-brain natriuretic peptide, and other cardiac biomarkers during chemotherapy will help to early detect cardiotoxicity.

Acute coronary syndromes (ACS) remain one of the leading causes of cardiovascular morbidity and mortality in the United States and around the world. Because of the acute nature of ACS presentations, timely identification, risk stratification, and intervention are of the utmost importance. Twenty years ago, we published the first iteration of our institutional chest pain clinical pathway in this journal, which separated patients presenting with chest pain into one of the 4 levels of decreasing acuity, with associated actions and interventions for providers based on the level. This chest pain clinical pathway has undergone regular review and updates under a collaborative team of cardiologists, emergency department physicians, cardiac nurse practitioners, and other associated stakeholders in the treatment of patients presenting with chest pain. This review will discuss the key changes that our institutional chest pain algorithm has undergone over the last 2 decades and what the future holds for chest pain algorithms.

Background: The coronavirus 2019 (COVID-19) has affected the lives of many people worldwide. Patients with chronic underlying morbidities are vulnerable to get the severe form of the infection. The goal of this study was to evaluate the outcome of patients with pulmonary arterial hypertension during the COVID-19 pandemic in Iran.

Methods: This cross-sectional study was conducted at a large tertiary center for pulmonary artery hypertension (PAH) patients. The primary end point was the prevalence of SARS-CoV-2 infection in PAH patients. The secondary end points were investigating the severity and mortality of COVID-19 infection in PAH patients during the COVID-19 pandemic.

Results: Totally 75 patients were enrolled in the study from December 2019 to October 2021 and 64% were female. The mean ± SD age was 49 ± 16 years. The prevalence of COVID-19 in PAH/chronic thromboembolic pulmonary hypertension patients was 44%. About 66.7% of patients had comorbidities, which was a prognostic factor for COVID-19 infection in PAH patients (P < 0.001). Fifty-six percent of infected patients were asymptomatic. The most reported symptoms in symptomatic patients were fever (28%) and malaise (29%). Twelve percent of patients were admitted with severe symptoms. The mortality rate in infected individuals was 3.7%.

Conclusions: COVID-19 infection in PAH/chronic thromboembolic pulmonary hypertension patients seems to be associated with high mortality and morbidity. More scientific proof is needed to clarify different aspect of COVID-19 infection in this population.

Objective: Inflammation is a risk factor for myocardial infarction. Pneumonia leads to severe inflammatory response. Some studies suggest higher risk of myocardial infarction in patients with pneumonia. We used a large inpatient database (National Inpatient Sample) to evaluate this association.

Methods: This study includes patients from a Nationwide Inpatient Sample hospital in 2005 to 2014 with International Classification of Diseases, Ninth Revision, and Clinical Modification codes consistent with pneumonia and non-ST elevation myocardial infarction (NSTEMI). Subjects were stratified into all hospitalized patients aged 30 and above. Univariate and multivariate analysis was performed adjusting for age, race, gender, tobacco use, diabetes mellitus, hypertension, and hyperlipidemia.

Results: NSTEMI was present in 3.2% of pneumonia patients versus 1.8% in the non-pneumonia population over 10-year period. For example, the 2005 database: [odds ratio (OR), 1.77; 95% confidence interval (CI), 1.73-1.80; P < 0.001]. For 2014, NSTEMI was present in 4.1% of pneumonia patients (PNA) versus 2.4% in the non-pneumonia population (OR, 1.72; 95% CI, 1.70-1.75; P < 0.001). NSTEMI remained independently associated with pneumonia following a multivariate analysis in 2005 (OR, 1.477; 95% CI, 1.447-1.508; P < 0.001) with a similar value in 2014 (OR, 1.445; 95% CI, 1.421-1.469; P < 0.001).

Conclusions: Using a large inpatient database, we found that NSTEMI was strongly associated with PNA versus non-pneumonia population over a 10-year period. Suggesting acute inflammatory cytokines or hypoxia which occurs during lung infection may play a role in NSTEMI development, reinforcing the importance of acute cardiac monitoring in patients with PNA.

Background: Emergency medicine physicians must rapidly obtain and interpret an electrocardiogram (ECG) to quickly identify life-threatening cardiac emergencies such as ST-elevation myocardial infarction (STEMI). Although ECG interpretation is a critical component of residency education, few high-powered studies exploring the accuracy of resident ECG interpretation exist.

Objectives: This study aims to evaluate whether or not the inclusion of Third Year Emergency Medicine Resident ECG interpretations is noninferior to attending-only ECG interpretations in regard to time to STEMI activation.

Methods: This was a retrospective noninferiority study of STEMI activation times before and after the inclusion of Third Year Emergency Medicine Resident resident ECG interpretations into the workflow at an academic, urban tertiary care center between November 2020 and April 2022, excluding prehospital activations. The primary outcome was the proportion of successful STEMI activations initiated within 5 minutes of ECG completion. An absolute decrease of 10% between groups was chosen as the noninferiority margin.

Results: In the attending-only group, 26 (66.7%) cases resulted in successful STEMI activations compared to 31 cases (77.5%) in the combined group. The proportion of successful STEMI activations did not differ with resident screening, X 2 = 1.15, P = 0.28. The absolute difference between groups' successful activations was an increase of 11%, which lies within the noninferiority margin (+11%, 95% confidence interval, -8.68% to 30.7%). Average times to STEMI activation in the attending-only and combined groups were 7.59 minutes (Standard Deviation [SD], 10.19) and 5.13 minutes (SD, 6.95), respectively. Average door-to-balloon times for those undergoing Percutaneous Coronary Intervention were 72.74 minutes (SD, 20.76) in the attending-only group and 89.90 minutes (SD, 67.74) in the combination group. Two sample t-test showed no statistically significant difference between the 2 groups for average time to STEMI activation (difference = 2.46 minutes, 95% CI, -1.46 to 6.38) and average door-to-balloon time (difference = 17.16, 95% CI, -39.73 to 5.41).

Conclusion: The inclusion of emergency medicine PGY-3 residents in the ECG screening workflow is noninferior to attending-only interpretation of ECGs with regard to STEMI activation time.

Objective: Emergency physicians are challenged to efficiently and reliably risk stratify patients presenting with chest pain (CP) to optimize diagnostic testing and avoid unnecessary hospital admissions. The objective of our study was to evaluate the impact of a HEART score-based decision aid (HSDA) integrated in the electronic health record on coronary computed tomography angiography (CCTA) utilization and diagnostic yield in adult emergency department (ED) CP patients with suspected acute coronary syndrome.

Methods: We conducted a before and after study to determine whether implementation of a mandatory computerized HSDA would reduce CCTA utilization in ED CP patients and improve the diagnostic yield of obstructive coronary artery disease (CAD) (≥50%). We included all adult ED CP patients with suspected acute coronary syndrome during the first 6 months of 2018 (before) and 2020 (after) at a large academic center. CCTA utilization and obstructive CAD yield were compared in patients before and after implementing the HSDA using χ2 tests. Secondarily, we assessed the association of HEART scores and CCTA results.

Results: Of the 3095 CP patients during the before study period, 733 underwent CCTA. Of the 2692 CP patients during the after study period, 339 underwent CCTA. CCTA utilization before and after HSDA was 23.4% [95% confidence interval (95% CI), 22.2-25.2] and 12.6% (95% CI, 11.4-13.0), respectively; mean difference was 11.1% (95% CI, 0.9-13.0). Among 1072 patients undergoing CCTA, mean (SD) age and percent females before versus after HSDA were 54 (11) versus 56 (11) years and 50% versus 49%, respectively. We included 1014 patients (686 before and 328 after) for the yield analysis. Obstructive CAD was present in 15% (95% CI, 12.7-17.9) and 20.1% (95% CI, 16.1-24.7) before and after HSDA, respectively; mean difference was 4.9% (95% CI, 0.1-10.1).

Conclusions: Implementation of a mandatory electronic health record HSDA aid reduced ED CCTA utilization by half and improved the diagnostic yield.

Objective: The current study aimed to compare 1-year echocardiographic outcomes of the new generations of self-expanding (Evolut R) versus balloon-expandable (Sapien 3) bioprosthetic transcatheter aortic valves.

Methods: In this study, gradients and flow velocities obtained from transthoracic Doppler-echocardiography were retrospectively collected from patients who underwent 2 new generations of transcatheter aortic valve implantation interventions with Sapien 3 and Evolut R valves. Patients underwent echocardiography before the procedure and at discharge, 6 months, and 1-year follow-up.

Results: Of the 66 patients, 28 received Sapien 3 and 38 received Evolut R valves. Evolut R valve presented a lower mean gradient at all follow-up time points compared with Sapien 3 valves (14.4 mm Hg, 14.9 mm Hg, 15.5 mm Hg compared with 10.1 mm Hg, 11.6 mm Hg, 11.8 mm Hg, respectively; all P -values <0.001). Small valve sizes of Evolut R, including 23 and 26, had higher echocardiographic mean gradient or peak gradient at the time of discharge compared with larger valves, including sizes 29 and 34 (11.1 mm Hg and 11.2 mm Hg vs. 10.2 mm Hg, 9.1 mm Hg) and 1-year follow-up (11.0 mm Hg, 11.0 mm Hg vs. 9.9 mm Hg, 8.4 mm Hg; all P -values = 0.001). Although Sapien 3 valves demonstrated a higher peak gradient in smaller sizes at discharge (18.44 mm Hg in size 23 vs. 17.9 mm Hg, 16.5 mm Hg in size 26 and 29, respectively; P = 0.001), the peak gradients did not show a statistically significant difference in the 1-year follow-up.

Conclusions: The current study detected significantly lower mean and peak gradients in Evolut R compared with Sapien 3 at all follow-up time points. Furthermore, smaller valve sizes were associated with significantly higher gradients at all follow-ups, regardless of the valve type.

Introduction: An ST-elevation myocardial infarction (STEMI) can portend significant morbidity and mortality to the patient and therefore must be rapidly diagnosed by an emergency medicine (EM) physician. The primary aim of this study is to determine whether EM physicians are more or less likely to accurately diagnose STEMI on an electrocardiogram (ECG) if they are blinded to the ECG machine interpretation as opposed to if they are provided the ECG machine interpretation.

Methods: We performed a retrospective chart review of adult patients over 18 years of age admitted to our large, urban tertiary care center with a diagnosis of STEMI from January 1, 2016, to December 31, 2017. From these patients' charts, we selected 31 ECGs to create a quiz that was presented twice to a group of emergency physicians. The first quiz contained the 31 ECGs without the computer interpretations revealed. The second quiz, presented to the same physicians 2 weeks later, contained the same set of ECGs with the computer interpretations revealed. Physicians were asked "Based on the ECG above, is there a blocked coronary artery present causing a STEMI?"

Results: Twenty-five EM physicians completed two 31-question ECG quizzes for a total of 1550 ECG interpretations. On the first quiz with computer interpretations blinded, the overall sensitivity in identifying a "true STEMI" was 67.2% with an overall accuracy of 65.6%. On the second quiz in which the ECG machine interpretation was revealed, the overall sensitivity was 66.4% with an accuracy of 65.8 % in correctly identifying a STEMI. The differences in sensitivity and accuracy were not statistically significant.

Conclusion: This study demonstrated no significant difference in physicians blinded versus those unblinded to computer interpretations of possible STEMI.

Background: Oral sotalol is a class III antiarrhythmic commonly used for the maintenance of sinus rhythm in patients with atrial fibrillation (AF). Recently, the Food and Drug Administration (FDA) approved the use of IV sotalol loading, based primarily on modeling data for the infusion. We aimed to describe a protocol and experience with IV sotalol loading for elective treatment of adult patients with AF and atrial flutter (AFL).

Methods: We present our institutional protocol and retrospective review of initial patients treated with IV sotalol for AF/AFL at the University of Utah Hospital between September 2020 and April 2021.

Results: Eleven patients received IV sotalol for initial loading or dose escalation. All patients were male, aged 56-88 years (median 69). Mean QT interval (QTc) intervals increased from baseline (mean 384 ms) immediately after infusion of IV sotalol (mean change 42ms), but no patient required discontinuation of the medication. Six patients were discharged after 1 night; 4 patients were discharged after 2 nights; and 1 patient was discharged after 4 nights. Nine patients underwent electrical cardioversion prior to discharge (2 prior to load; 7 post-load on the day of discharge). There were no adverse events during the infusion or within 6 months of discharge. Persistence of therapy was 73% (8 of 11) at mean 9.9 weeks to follow up, with no discontinuations for adverse effects.

Conclusions: We employed a streamlined protocol that was successfully implemented to facilitate the use of IV sotalol loading for atrial arrhythmias. Our initial experience suggests feasibility, safety, and tolerability while reducing hospitalization duration. Additional data are needed to augment this experience as IV sotalol use is broadened across different patient populations.