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Outcomes of Cardiac Resynchronization Therapy with Image-Guided Left Ventricular Lead Placement at the Site of Latest Mechanical Activation: A Systematic Review and Meta-Analysis.

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Date
2022-01
Authors
Allen LaPointe, Nancy M
Ali-Ahmed, Fatima
Dalgaard, Frederik
Kosinski, Andrzej S
Schmidler, Gillian Sanders
Al-Khatib, Sana M
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Abstract
<h4>Aim</h4>To assess evidence for an image-guided approach for cardiac resynchronization therapy (CRT) that targets left ventricular (LV) lead placement at the segment of latest mechanical activation.<h4>Methods</h4>A systematic review of EMBASE and PubMed was performed for randomized controlled trials (RCTs) and prospective observational studies from October 2008 through October 2020 that compared an image-guided CRT approach with a non-image-guided approach for LV lead placement. Meta-analyses were performed to assess the association between the image-guided approach and NYHA class improvement or changes in end-systolic volume (LVESV), end-diastolic volume (LVEDV), and ejection fraction (LVEF).<h4>Results</h4>From 5897 citations, 5 RCTs including 818 patients (426 image-guided and 392 non-image-guided) were identified. The mean age ranged from 66 to 71 years, 76% were male, and 53% had ischemic cardiomyopathy. Speckle tracking echocardiography was the primary image-guided method in all studies. LV lead placement within the segment of the latest mechanical activation (concordant) was achieved in the image-guided arm in 45% of the evaluable patients. There was a statistically significant improvement in the NYHA class at 6 months (odds ratio 1.66; 95% confidence interval (CI) [1.02, 2.69]) with the image-guided approach, but no statistically significant change in LVESV (MD -7.1%; 95% CI [-16.0, 1.8]), LVEDV (MD -5.2%; 95% CI [-15.8, 5.4]), or LVEF (MD 0.68; 95% CI [-4.36, 5.73]) versus the non-image-guided approach.<h4>Conclusion</h4>The image-guided CRT approach was associated with improvement in the NYHA class but not echocardiographic measures, possibly due to the small sample size and a low rate of concordant LV lead placement despite using the image-guided approach. Therefore, our meta-analysis was not able to identify consistent improvement in CRT outcomes with an image-guided approach.
Type
Journal article
Subject
Heart Ventricles
Humans
Myocardial Ischemia
Echocardiography
Stroke Volume
Aged
Female
Male
Cardiac Resynchronization Therapy
Observational Studies as Topic
Permalink
https://hdl.handle.net/10161/25396
Published Version (Please cite this version)
10.1155/2022/6285894
Publication Info
Allen LaPointe, Nancy M; Ali-Ahmed, Fatima; Dalgaard, Frederik; Kosinski, Andrzej S; Schmidler, Gillian Sanders; & Al-Khatib, Sana M (2022). Outcomes of Cardiac Resynchronization Therapy with Image-Guided Left Ventricular Lead Placement at the Site of Latest Mechanical Activation: A Systematic Review and Meta-Analysis. Journal of interventional cardiology, 2022. pp. 6285894. 10.1155/2022/6285894. Retrieved from https://hdl.handle.net/10161/25396.
This is constructed from limited available data and may be imprecise. To cite this article, please review & use the official citation provided by the journal.
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Scholars@Duke

Al-Khatib

Sana Mustapha Al-Khatib

Professor of Medicine
Dr. Sana M. Al-Khatib is a tenured Professor of Medicine at Duke University Medical Center, a board-certified clinical electrophysiologist and an experienced clinical researcher in cardiac arrhythmias.  As a graduate of the NIH-funded Clinical Research Training Program, she is one of a few electrophysiologists nationwide with expertise in quantitative research methods. Her clinical expertise is in sudden cardiac death prevention, atrial fibrillation and ventricular arrhy
Allen LaPointe

Nancy Marie Allen LaPointe

Adjunct Associate Professor in the Department of Medicine
Dr. Allen LaPointe is an Adjunct Associate Professor in Medicine and Faculty Fellow at the Duke-Margolis Center for Health Policy at Duke University.  She is a researcher and cardiovascular clinical pharmacist with extensive experience in health outcomes and health services research, evidence synthesis, and the protection of human research subjects.  Her clinical and research work have been focused on patient safety, predominately in patients with cardiovascular disease.
Kosinski

Andrzej Stanislaw Kosinski

Professor of Biostatistics & Bioinformatics
Statistical methodology for evaluation of diagnostic tests Adjustment for misclassification Missing data Clinical trials Analysis of cardiovascular and stroke data
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