Circulation-Cardiovascular Quality and Outcomes最新文献

Background: Arrhythmia recurrence after pulmonary vein isolation (PVI) is common. We conducted a multicenter, randomized trial to determine the impact of increased physical activity on atrial fibrillation recurrence after PVI.

Methods: From 2018 to 2020, we randomly assigned 200 patients with atrial fibrillation to the ACTION or NO-ACTION group in 4 different centers in the local country of Brandenburg, Germany. Patients were eligible if they were scheduled to undergo PVI, aged ≥50 to ≤77 years, body mass index ≥23 to ≤35 kg/m², and accepted wearing an activity tracker allowing 24-hour activity monitoring via mobile app. Patients in the ACTION group were actively remote-controlled via transmitted activity data by a physiotherapist, and individual motivational interviewing call sessions were scheduled with each ACTION patient every 2 weeks. The primary end point was the composite of recurrence of any atrial arrhythmia >30 seconds, additional ablation procedure, cardioversion, and new onset of antiarrhythmic drugs earliest after 90 days after index PVI over 12 months.

Results: Overall, the median age of patients was 66 (interquartile range, 61-71) years, 33.5% were women, and 52% had persistent atrial fibrillation. The number of steps per day increased in both groups of patients from baseline to 12 months (P<0.001). The absolute increase in steps per day did not differ between patients in the ACTION group with +3205 steps (597-4944) compared with those in the NO-ACTION group +2423 steps (17-4284), P=0.325. Unadjusted intention-to-treat analysis showed no difference in the primary composite end point in the ACTION group (27.3%) versus the NO-ACTION group (32.7%), P=0.405.

Conclusions: Physical activity improved in patients after PVI. The present randomized controlled trial shows that activity tracker and motivational calls to increase physical activity versus activity tracker alone did not reduce the occurrence of the primary composite end point of atrial fibrillation recurrence or the absolute increase in steps per day.

Registration: URL: https://www.cochranelibrary.com; Unique identifier: DRKS00012914.

Background: Risk stratification strategies for cancer therapeutics-related cardiac dysfunction (CTRCD) rely on serial monitoring by specialized imaging, limiting their scalability. We aimed to examine an application of artificial intelligence (AI) to electrocardiographic (ECG) images as a surrogate for imaging risk biomarkers, and its association with early CTRCD. Methods: Across a U.S.-based health system (2013-2023), we identified 1,550 patients (age 60 [IQR:51-69] years, 1223 [78.9%] women) without cardiomyopathy who received anthracyclines and/or trastuzumab for breast cancer or non-Hodgkin lymphoma and had ECG performed ≤12 months before treatment. We deployed a validated AI model of left ventricular systolic dysfunction (LVSD) to baseline ECG images and defined low, intermediate, and high-risk groups based on AI-ECG LVSD probabilities of <0.01, 0.01 to 0.1, and ≥0.1 (positive screen), respectively. We explored the association with early CTRCD (new cardiomyopathy, heart failure, or left ventricular ejection fraction [LVEF]<50%), or LVEF<40%, up to 12 months post-treatment. In a mechanistic analysis, we assessed the association between global longitudinal strain (GLS) and AI-ECG LVSD probabilities in studies performed within 15 days of each other. Results: Among 1,550 patients without known cardiomyopathy (median follow-up: 14.1 [IQR:13.4-17.1] months), 83 (5.4%), 562 (36.3%) and 905 (58.4%) were classified as high, intermediate, and low risk by baseline AI-ECG. A high- vs low-risk AI-ECG screen (≥0.1 vs <0.01) was associated with a 3.4-fold and 13.5-fold higher incidence of CTRCD (adj.HR 3.35 [95%CI:2.25-4.99]) and LVEF<40% (adj.HR 13.52 [95%CI:5.06-36.10]), respectively. Post-hoc analyses supported longitudinal increases in AI-ECG probabilities within 6-to-12 months of a CTRCD event. Among 1,428 temporally-linked echocardiograms and ECGs, AI-ECG LVSD probabilities were associated with worse GLS (GLS -19% [IQR:-21 to -17%] for probabilities <0.1, to -15% [IQR:-15 to -9%] for ≥0.5 [p<0.001]). Conclusions: AI applied to baseline ECG images can stratify the risk of early CTRCD associated with anthracycline or trastuzumab exposure in the setting of breast cancer or non-Hodgkin lymphoma therapy.

Background: Over the past 25 years, diagnosis and therapy for acute aortic dissection (AAD) have evolved. We aimed to study the effects of these iterative changes in care.

Methods: Patients with nontraumatic AAD enrolled in the International Registry of Acute Aortic Dissection (61 centers; 15 countries) were divided into time-based tertiles (groups) from 1996 to 2022. The impact of changes in diagnostics, therapeutic care, and in-hospital and 3-year mortality was assessed. Cochran-Armitage trend and Jonckheere-Terpstra tests were conducted to test for any temporal trend.

Results: Each group consisted of 3785 patients (mean age, ≈62 years old; ≈65.5% males); nearly two-thirds had type A AAD. Over time, the rates of hypertension increased from 77.8% to 80.4% (P=0.002), while smoking (34.1% to 30.6%, P=0.033) and atherosclerosis decreased (25.6%-16.6%; P<0.001). Across groups, the percentage of surgical repair of type A AAD increased from 89.1% to 92.5% (P<0.001) and was associated with decreased hospital mortality (from 24.1% in group 1 to 16.7% in group 3; P<0.001). There was no difference in 3-year survival (P=0.296). For type B AAD, stent graft therapy (thoracic endovascular aortic repair) was used more frequently (22.3%-35.9%; P<0.001), with a corresponding decrease in open surgery. Endovascular in-hospital mortality decreased from 9.9% to 6.2% (P=0.003). As seen with the type A AAD cohort, overall 3-year mortality for patients with type B AAD was consistent over time (P=0.084).

Conclusions: Over 25 years, substantial improvements in-hospital survival were associated with a more aggressive surgical approach for patients with type A AAD. Open surgery has been partially supplanted by thoracic endovascular aortic repair for complicated type B AAD, and in-hospital mortality has decreased over the time period studied. Postdischarge survival for up to 3 years was similar over time.

Background: Long-term effects of out-of-hospital cardiac arrest (OHCA) may affect the ability to work and mental health. Our aim was to analyze 5-year changes in socioeconomic and mental health outcomes after OHCA in women and men.

Methods: We included 259 women and 996 men from North Holland, the Netherlands, who survived 30 days after OHCA occurred between 2009 and 2015. We assessed changes in employment, income, primary earner status, and anxiety/depression (using medication proxies) from the year before the OHCA to 5 years after with generalized linear mixed models, stratified by sex. We tested differences in changes by sex with interaction terms. Additionally, we explored yearly changes. The 5-year changes after OHCA were compared with changes in a sex- and age-matched sample of people without OHCA. Differences were tested using an interaction term of time and OHCA status.

Results: In both women and men (median age [Q1, Q3]: 51 [45, 55] and 54 [48, 57] years, respectively), decreases from before OHCA to 5 years thereafter were observed in the proportion employed (from 72.8% to 53.4% [women] and 80.9% to 63.7% [men]) and the median income. No change in primary earner status was observed in either sex. Dispensing of anxiety/depression medication increased only in women, especially after 1 year (odds ratio, 5.68 [95% CI, 2.05-15.74]) and 5 years (odds ratio, 5.73 [95% CI, 1.88-17.53]). Notable differences between women and men were observed for changes in primary earner status and anxiety/depression medication (eg, at year 1, odds ratio for women, 6.71 [95% CI, 1.96-23.01]; and for men, 0.69 [95% CI, 0.33-1.45]). However, except for anxiety/depression medication in women, similar changes were also observed in the general population.

Conclusions: OHCA survivors experience changes in employment, income, and primary earner status similar to the general population. However, women who survived OHCA more often received anxiety/depression medication in the years following OHCA.

This document describes performance measures for heart failure that are appropriate for public reporting or pay-for-performance programs and is meant to serve as a focused update of the "2020 ACC/AHA Clinical Performance and Quality Measures for Adults With Heart Failure: A Report of the American College of Cardiology/American Heart Association Task Force on Performance Measures." The new performance measures are taken from the "2022 AHA/ACC/HFSA Guideline for the Management of Heart Failure: A Report of the American College of Cardiology/American Heart Association Joint Committee on Clinical Practice Guidelines" and are selected from the strongest recommendations (Class 1 or Class 3). In contrast, quality measures may not have as much evidence base and generally comprise metrics that might be useful for clinicians and health care organizations for quality improvement but are not yet appropriate for public reporting or pay-for-performance programs. New performance measures include optimal blood pressure control in patients with heart failure with preserved ejection fraction, the use of sodium-glucose cotransporter-2 inhibitors for patients with heart failure with reduced ejection fraction, and the use of guideline-directed medical therapy in hospitalized patients. New quality measures include the use of sodium-glucose cotransporter-2 inhibitors in patients with heart failure with mildly reduced and preserved ejection fraction, the optimization of guideline-directed medical therapy prior to intervention for chronic secondary severe mitral regurgitation, continuation of guideline-directed medical therapy for patients with heart failure with improved ejection fraction, identifying both known risks for cardiovascular disease and social determinants of health, patient-centered counseling regarding contraception and pregnancy risks for individuals with cardiomyopathy, and the need for a monoclonal protein screen to exclude light chain amyloidosis when interpreting a bone scintigraphy scan assessing for transthyretin cardiac amyloidosis.

Background: The American Heart Association's Get With The Guidelines (GWTG) has emerged as a vital resource in advancing the standards and practices of inpatient care across stroke, heart failure, coronary artery disease, atrial fibrillation, and resuscitation focus areas. The GWTG registry data have also created new opportunities for secondary use of real-world clinical data in biomedical research. Our goal was to implement a scalable database with an integrated user interface (UI) to improve GWTG data management and accessibility.

Methods: The curation of registry data begins by going through a data processing and quality control pipeline programmed in Python. This pipeline includes data cleaning and record exclusion, variable derivation and unit harmonization, limited data set preparation, and documentation generation of the registry data. The database was built using PostgreSQL, and integrations between the database and the UI were built using the Django Web Framework in Python. Smaller subsets of data were created using SQLite database files for distribution purposes. Use cases of these tools are provided in the article.

Results: We implemented an automated data curation pipeline, centralized database, and UI application for the American Heart Association GWTG registry data. The database and the UI are accessible through a Precision Medicine Platform workspace. As of March 2024, the database contains over 13.2 million cleaned GWTG patient records. The SQLite subsets benefit researchers by optimizing data extraction and manipulation using Structured Query Language. The UI improves accessibility for nontechnical researchers by presenting data in a user-friendly tabular format with intuitive filtering options.

Conclusions: With the implementation of the GWTG database and UI application, we addressed data management and accessibility concerns despite its growing scale. We have launched tools to provide streamlined access and accessibility of GWTG registry data to all researchers, regardless of familiarity or experience in coding.

Background: The foundation for managing heart failure with reduced ejection fraction (HFrEF) is adherence to guideline-directed medical therapy. Finding an association between medication adherence and patients' health status (their symptoms, function, and quality of life) can be used to underscore its importance to patients.

Methods: The association of self-reported medication adherence in US outpatients with HFrEF enrolled in the Change the Management of Patients with Heart Failure registry from 2015 to 2017 was compared with their health status at baseline and 12 months later. A secondary analysis of changes in adherence between baseline and 6 months with 6-month health status was also performed. Medication adherence was assessed with the self-reported 4-item Morisky-Green-Levine Medication Adherence Scale, with scores ≥1 classified as nonadherent. The primary health status outcome was the disease-specific 12-item Kansas City Cardiomyopathy Questionnaire Overall Summary Score (KCCQ-OS; range, 0-100; higher is better). Robust linear regression models adjusted for confounders were used.

Results: After excluding those who died (n=316) or did not provide 12-month KCCQ (n=1285), 3495 outpatients with HFrEF were included, of whom 1108 (31.7%) reported being nonadherent. Nonadherent participants were younger, had significantly worse baseline health status (-5.83-point difference; P<0.001), and showed less improvement at 12 months (-1.7-point difference in mean change; P=0.017) than adherent participants. Among nonadherent patients at baseline, those whose adherence improved trended toward greater 6-month health status improvements than those remaining nonadherent (fully adjusted difference of 2.52 points; P=0.054).

Conclusions: In HFrEF, medication nonadherence was associated with worse health status and less improvement over the following year. Improvements in adherence were associated with better health status than remaining nonadherent, underscoring the importance of supporting adherence with guideline-directed medical therapy in patients with HFrEF.