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.
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 articleSubject
Heart VentriclesHumans
Myocardial Ischemia
Echocardiography
Stroke Volume
Aged
Female
Male
Cardiac Resynchronization Therapy
Observational Studies as Topic
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https://hdl.handle.net/10161/25396Published Version (Please cite this version)
10.1155/2022/6285894Publication 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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Show full item recordScholars@Duke
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
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.
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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