Circulation-Cardiovascular Quality and Outcomes最新文献

{"title":"Racial and Ethnic Differences in Semaglutide Prescriptions for Veterans With Overweight or Obesity in the Veterans Affairs Healthcare System.","authors":"Rebecca L Tisdale, Tariku J Beyene, Wilson Tang, Paul Heidenreich, Steven M Asch, Celina M Yong","doi":"10.1161/CIRCOUTCOMES.124.011649","DOIUrl":"10.1161/CIRCOUTCOMES.124.011649","url":null,"abstract":"","PeriodicalId":49221,"journal":{"name":"Circulation-Cardiovascular Quality and Outcomes","volume":" ","pages":"e011649"},"PeriodicalIF":6.2,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11745747/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142631180","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Referral Networks, Racial Inequity, and Hospital Quality for Open Heart Surgery.","authors":"C Ben Gibson, Cheryl L Damberg, Jose J Escarce, Shiyuan Zhang, Megan S Schuler, Luke J Matthews, Ioana Popescu","doi":"10.1161/CIRCOUTCOMES.123.010778","DOIUrl":"10.1161/CIRCOUTCOMES.123.010778","url":null,"abstract":"<p><strong>Background: </strong>Differences in the quality of hospitals where Black and White patients receive coronary artery bypass grafting (CABG) surgery have been documented. We examined the contributions of physician networks to the gap.</p><p><strong>Methods: </strong>This was a cross-sectional study of all Medicare fee-for-service Black and White patients undergoing elective CABG during 2017 to 2019; the primary care physicians and cardiologists treating them for 12 months before surgery (the patients' physician network); and CABG-performing hospitals within 100 miles of each patient. We measured the strength of ties between treating physicians and hospitals as the number of shared prior CABG patients (24 months before surgery). Conditional logit models assessed the relationship between race, prior physician-hospital ties, and receiving CABG at hospitals with minimum versus the median-above-minimum mortality difference, while accounting for home-to-hospital distances.</p><p><strong>Results: </strong>The study included 76 376 patients; 5.1% were Blackpatients. Black and White patients were admitted to similar mortality hospitals (3.1% versus 3.1%; <i>P</i>=0.07), but Black patients lived closer to lower-mortality hospitals than White patients (mean hospital mortality within median travel distance, 2.5% versus 2.7%; <i>P</i><0.001). Black patients were treated less often at the lowest-mortality hospitals overall and within the median travel distance (10.5% versus 13.9% and 37.4% versus 45.1%; <i>P</i><0.001 for both). In conditional logit models, the Black-White risk ratio of using hospitals with median versus lowest mortality was 1.02 ([95% CI, 0.98-1.06]; <i>P</i>=0.18) in models including only race and hospital mortality; 1.07 ([95% CI, 1.01-1.13]; <i>P</i><0.001) in models adding home-to-hospital distances; and 1.06 ([95% CI, 0.96-1.16]; <i>P</i>=0.11) in models also accounting for physician-hospital ties.</p><p><strong>Conclusions: </strong>Despite the improvement of previously described disparities in the quality of hospitals treating Black and White patients, Black patients remain less likely to undergo CABG at their lowest available mortality hospitals, possibly due to suboptimal physician referrals.</p>","PeriodicalId":49221,"journal":{"name":"Circulation-Cardiovascular Quality and Outcomes","volume":" ","pages":"e010778"},"PeriodicalIF":6.2,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11745697/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142899708","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Pocketing the Savings: Cost-Informed Decision-Making for Patients With Heart Failure.","authors":"Jessica N Holtzman, Dhruv S Kazi","doi":"10.1161/CIRCOUTCOMES.124.011633","DOIUrl":"10.1161/CIRCOUTCOMES.124.011633","url":null,"abstract":"","PeriodicalId":49221,"journal":{"name":"Circulation-Cardiovascular Quality and Outcomes","volume":" ","pages":"e011633"},"PeriodicalIF":6.2,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142774103","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Racial, Socioeconomic, and Geographic Disparities in Preamputation Vascular Care for Patients With Chronic Limb-Threatening Ischemia.","authors":"Omar I Ramadan, Lin Yang, Kaitlyn Shultz, Elizabeth Genovese, Scott M Damrauer, Grace J Wang, Eric A Secemsky, Diane J Treat-Jacobson, Robin J Womeodu, Foluso A Fakorede, Ashwin S Nathan, Lauren A Eberly, Howard M Julien, Taisei J Kobayashi, Peter W Groeneveld, Jay Giri, Alexander C Fanaroff","doi":"10.1161/CIRCOUTCOMES.124.010931","DOIUrl":"10.1161/CIRCOUTCOMES.124.010931","url":null,"abstract":"<p><strong>Background: </strong>Black patients, those with low socioeconomic status (SES), and those living in rural areas have elevated rates of major lower extremity amputation, which may be related to a lack of subspecialty chronic limb-threatening ischemia care. We evaluated the association between race, rurality, SES, and preamputation vascular care.</p><p><strong>Methods: </strong>Among patients aged 66 to 86 years with fee-for-service Medicare who underwent major lower extremity amputation for chronic limb-threatening ischemia from July 2010 to December 2019, we compared the proportion who received vascular care in the 12 months before amputation by race (Black versus White), rurality, and SES (dual eligibility for Medicaid versus no dual eligibility) using multivariable logistic regression adjusting for clinical and demographic covariates.</p><p><strong>Results: </strong>Among 73 237 patients who underwent major lower extremity amputation, 40 320 (55.1%) had an outpatient vascular subspecialist visit, 60 109 (82.1%) had lower extremity arterial testing, and 28 345 (38.7%) underwent lower extremity revascularization in the year before amputation. Black patients were less likely to have an outpatient vascular specialist visit (adjusted odds ratio [adjOR], 0.87 [95% CI, 0.84-0.90]) or revascularization (adjOR, 0.90 [95% CI, 0.86-0.93]) than White patients. Compared with patients without low SES or residing in urban areas, patients with low SES or residing in rural areas were less likely to have an outpatient vascular specialist visit (adjOR, 0.62 [95% CI, 0.60-0.64]; low SES versus nonlow SES; adjOR, 0.82 [95% CI, 0.79-0.85]; rural versus urban), lower extremity arterial testing (adjOR, 0.78 [95% CI, 0.75-0.81]; low SES versus nonlow SES; adjOR, 0.90 [95% CI, 0.0.86-0.94]; rural versus urban), or revascularization (adjOR, 0.65 [95% CI, 0.63-0.67]; low SES versus nonlow SES; adjOR, 0.89 [95% CI, 0.86-0.93]; rural versus urban).</p><p><strong>Conclusions: </strong>Black race, rural residence, and low SES are associated with failure to receive subspecialty chronic limb-threatening ischemia care before amputation. To reduce disparities in amputation, multilevel interventions to facilitate equitable chronic limb-threatening ischemia care are needed.</p>","PeriodicalId":49221,"journal":{"name":"Circulation-Cardiovascular Quality and Outcomes","volume":" ","pages":"e010931"},"PeriodicalIF":6.2,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11745589/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142923782","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Looking for Peers for Procedural Peer Review: A Paradigm to Improve Patient Outcomes.","authors":"Eric P Cantey, Brett L Wanamaker, John A Bittl","doi":"10.1161/CIRCOUTCOMES.124.011728","DOIUrl":"10.1161/CIRCOUTCOMES.124.011728","url":null,"abstract":"","PeriodicalId":49221,"journal":{"name":"Circulation-Cardiovascular Quality and Outcomes","volume":" ","pages":"e011728"},"PeriodicalIF":6.2,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142923767","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Artificial Intelligence-Enhanced Risk Stratification of Cancer Therapeutics-Related Cardiac Dysfunction Using Electrocardiographic Images.","authors":"Evangelos K Oikonomou, Veer Sangha, Lovedeep S Dhingra, Arya Aminorroaya, Andreas Coppi, Harlan M Krumholz, Lauren A Baldassarre, Rohan Khera","doi":"10.1161/CIRCOUTCOMES.124.011504","DOIUrl":"10.1161/CIRCOUTCOMES.124.011504","url":null,"abstract":"<p><strong>Background: </strong>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 ECG images as a surrogate for imaging risk biomarkers and its association with early CTRCD.</p><p><strong>Methods: </strong>Across a US-based health system (2013-2023), we identified 1550 patients (aged, 60 [interquartile range, 51-69] years, 1223 [78.9%] women) without cardiomyopathy who received anthracyclines 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 to baseline ECG images and defined low-, intermediate-, and high-risk groups based on AI-ECG left ventricular systolic dysfunction 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 <50%), or left ventricular ejection fraction <40%, up to 12 months after treatment. In a mechanistic analysis, we assessed the association between global longitudinal strain and AI-ECG left ventricular systolic dysfunction probabilities in studies performed within 15 days of each other.</p><p><strong>Results: </strong>Among 1550 patients without known cardiomyopathy (median follow-up, 14.1 [interquartile range, 13.4-17.1] months), 83 (5.4%), 562 (36.3%), and 905 (58.4%) were classified as high, intermediate, and low risk, respectively, by baseline AI-ECG. A high-risk versus low-risk AI-ECG screen (≥0.1 versus <0.01) was associated with a 3.4-fold and 13.5-fold higher incidence of CTRCD (adjusted hazard ratio, 3.35 [95% CI, 2.25-4.99]) and left ventricular ejection fraction <40% (adjusted hazard ratio, 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 1428 temporally linked echocardiograms and ECGs, AI-ECG left ventricular systolic dysfunction probabilities were associated with worse global longitudinal strain (global longitudinal strain, -19% [interquartile range, -21% to -17%] for probabilities <0.1, to -15% [interquartile range, -15% to -9%] for ≥0.5 [<i>P</i><0.001]).</p><p><strong>Conclusions: </strong>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 and non-Hodgkin lymphoma therapy.</p>","PeriodicalId":49221,"journal":{"name":"Circulation-Cardiovascular Quality and Outcomes","volume":" ","pages":"e011504"},"PeriodicalIF":6.2,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11745701/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142113973","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Artificial Intelligence Applications for Electrocardiography to Define New Digital Biomarkers of Cardiovascular Risk.","authors":"Veer Sangha, Rohan Khera","doi":"10.1161/CIRCOUTCOMES.124.011483","DOIUrl":"10.1161/CIRCOUTCOMES.124.011483","url":null,"abstract":"","PeriodicalId":49221,"journal":{"name":"Circulation-Cardiovascular Quality and Outcomes","volume":" ","pages":"e011483"},"PeriodicalIF":6.2,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142631166","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Association Between Socioeconomic Disadvantage and Risks of Early and Recurrent Admissions Among Patients With Newly Diagnosed Heart Failure.","authors":"Radha Dhingra, Hanzhang Xu, Bradley G Hammill, Scott M Lynch, Jessica S West, Michael D Green, Eric D Peterson, Lesley H Curtis, Matthew E Dupre","doi":"10.1161/CIRCOUTCOMES.124.011141","DOIUrl":"10.1161/CIRCOUTCOMES.124.011141","url":null,"abstract":"<p><strong>Background: </strong>Socioeconomic disadvantage is associated with greater risks of hospital readmission and mortality among patients with heart failure (HF). However, it is less clear whether socioeconomic disadvantage has an immediate and lasting impact on the risk of admissions after the diagnosis of HF.</p><p><strong>Methods: </strong>We used electronic health record data of patients aged 65 years and older with newly diagnosed HF between January 2015 and July 2018 in the Duke University Health System, with up to 8 years of follow-up. We assessed the association between neighborhood-level disadvantage, measured by the area deprivation index (lower, moderate, or higher) and hospital admissions within 30, 90, and 180 days after HF diagnosis using multivariable logistic regression models. We also assessed the risk of recurrent admissions over follow-up using Prentice, Williams, and Peterson models with total time.</p><p><strong>Results: </strong>In our cohort of 5889 patients (mean [SD] age, 75 (6) years; 51% women; 67% non-Hispanic White), 71% of patients had at least one admission, and ≈50% of patients died over a median follow-up of 5.6 years. Unadjusted models showed that patients residing in higher disadvantaged neighborhoods had incrementally increasing risks for admissions within 30 days (odds ratio [OR], 1.17 [95% CI, 0.99-1.38]), 90 days (OR, 1.18 [95% CI, 1.03-1.35]), and 180 days (OR, 1.23 [95% CI, 1.08-1.40]) after diagnosis compared with patients in lower disadvantaged areas. These risks were no longer significant after adjusting for patients' clinical and nonclinical characteristics at 30 days (OR, 1.09 [95% CI, 0.90-1.31]), 90 days (OR, 1.07 [95% CI, 0.92-1.25]), and 180 days (OR, 1.10 [95% CI, 0.96-1.27]). However, patients living in higher disadvantaged areas had significantly greater risks of recurrent admissions over follow-up (hazard ratio, 1.11 [95% CI, 1.05-1.16]; <i>P</i><0.001) compared with patients in lower disadvantaged areas.</p><p><strong>Conclusions: </strong>Our findings suggest that patients with HF residing in areas of socioeconomic disadvantage are at higher risk for recurrent admissions and thus should be considered for targeted intervention strategies.</p>","PeriodicalId":49221,"journal":{"name":"Circulation-Cardiovascular Quality and Outcomes","volume":" ","pages":"e011141"},"PeriodicalIF":6.2,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11652234/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142711610","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Assessing the Accuracy of Cardiovascular Disease Prediction Using Female-Specific Risk Factors in Women Aged 45 to 69 Years in the UK Biobank Study.","authors":"Jenny Doust, Mohammad Reza Baneshi, Hsin-Fang Chung, Louise Forsyth Wilson, Gita Devi Mishra","doi":"10.1161/CIRCOUTCOMES.123.010842","DOIUrl":"10.1161/CIRCOUTCOMES.123.010842","url":null,"abstract":"<p><strong>Background: </strong>Cardiovascular disease (CVD) is the leading cause of mortality in women. We aimed to assess whether adding female-specific risk factors to traditional factors could improve CVD risk prediction.</p><p><strong>Methods: </strong>We used a cohort of women from the UK Biobank Study aged 45 to 69 years, free of CVD at baseline (2006-2010) followed until the end of 2019. We developed Cox proportional hazards models using the risk factors included in 3 contemporary CVD risk calculators: Pooled Cohort Equation - Atherosclerotic Cardiovascular Disease, Qrisk2, and PREDICT. We added each of the following female-specific risk factors, individually and all together, to determine if these improved measures of discrimination and calibration for predicting CVD: early menarche (<11 years), endometriosis, excessive, frequent or irregular menstruation, miscarriage, number of miscarriages, number of stillbirths, infertility, preeclampsia or eclampsia, gestational diabetes (without subsequent type 2 diabetes), premature menopause (<40 years), early menopause (<45 years), and natural or surgical early menopause (menopause <45 years or timing of menopause reported as unknown and oophorectomy reported at age <45).</p><p><strong>Results: </strong>In the model of 135 142 women (mean age, 57.5 years; SD, 6.8) using risk factors from Pooled Cohort Equation - Atherosclerotic Cardiovascular Disease, CVD incidence was 5.3 per 1000 person-years. The c-indices for the Pooled Cohort Equation - Atherosclerotic Cardiovascular Disease, Qrisk2, and PREDICT models were 0.710, 0.713, and 0.718, respectively. Adding each of the female-specific risk factors did not improve the c-index, the net reclassification index, the integrated discrimination index, the slope of the regression line for predicted versus observed events, and the Brier score or plots of calibration. Adding all female-specific risk factors simultaneously increased the c-index for the Pooled Cohort Equation - Atherosclerotic Cardiovascular Disease, Qrisk2, and PREDICT models to 0.712, 0.715, and 0.720, respectively.</p><p><strong>Conclusions: </strong>Although several female-specific factors have been shown to be early indicators of CVD risk, these factors should not be used to reclassify risk in women aged 45 to 69 years when considering whether to commence a blood pressure or lipid-lowering medication.</p>","PeriodicalId":49221,"journal":{"name":"Circulation-Cardiovascular Quality and Outcomes","volume":" ","pages":"e010842"},"PeriodicalIF":6.2,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142787419","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Patient Preferences for Features Associated With Leadless Versus Conventional Transvenous Cardiac Pacemakers.","authors":"Shelby D Reed, Jui-Chen Yang, Matthew J Wallace, Jessie Sutphin, F Reed Johnson, Semra Ozdemir, Stephanie M Delgado, Scott Goates, Nicole Harbert, Monica Lo, Bharath Rajagopalan, James E Ip, Sana M Al-Khatib","doi":"10.1161/CIRCOUTCOMES.124.011168","DOIUrl":"10.1161/CIRCOUTCOMES.124.011168","url":null,"abstract":"<p><strong>Background: </strong>Regulatory approval of the first dual-chamber leadless pacemaker system provides patients an alternative to conventional transvenous pacemakers. The study objective was to quantify the preferences of patients for pacemaker features.</p><p><strong>Methods: </strong>Patients with a de novo (ie, initial) pacemaker indication were recruited from 7 US sites to complete a Web-based discrete-choice experiment survey between May 11, 2022, and May 24, 2023. Patients chose between pairs of experimentally designed, hypothetical pacemakers that varied according to type (removable leadless, nonremovable leadless, or conventional transvenous); battery life (5, 8, 12, or 15 years); time since regulatory approval (2 or 10 years); discomfort for 6 months (none or discomfort); and complication risk and infection risk (1%, 5%, or 10%/20% for each). Patients' choice data were analyzed using random-parameter logit models and latent-class analysis.</p><p><strong>Results: </strong>Among 117 participants, the mean (SD) age was 67.3 (14.6) years, 94% were white, and 42% were female. On average, patients' survey responses revealed a preference for removable leadless pacemakers (β, 0.340; SE, 0.096) over both nonremovable leadless pacemakers (β, -0.310; SE, 0.131; <i>P</i>=0.001) and conventional transvenous pacemakers (β, -0.030; SE, 0.119; <i>P</i>=0.031). However, latent-class analysis revealed 2 distinct preference classes. One class preferred leadless pacemakers (50.5%), and the other class preferred conventional transvenous pacemakers (49.5%). The conventional pacemaker class prioritized pacemakers with 10 rather than 2 years since regulatory approval (<i>P</i><0.001), whereas the leadless pacemaker class was insensitive to years since regulatory approval (<i>P</i>=0.83). Complication risks and infection risks were found to be the most influential. All else equal, patients would accept maximum risks of complications or infections ranging about 5% to 18% to receive their preferred pacemaker type.</p><p><strong>Conclusions: </strong>Latent-class analysis revealed strong patient preferences for the type of pacemaker, with a nearly equal split between recent leadless pacemaker technology and conventional transvenous pacemakers. These findings can inform shared decision-making between health care providers and patients.</p><p><strong>Registration: </strong>URL: https://www.clinicaltrials.gov; Unique identifier: NCT05327101.</p>","PeriodicalId":49221,"journal":{"name":"Circulation-Cardiovascular Quality and Outcomes","volume":" ","pages":"e011168"},"PeriodicalIF":6.2,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11654446/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142683175","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}