Evidence map›Paper›PMID 35798397›Full record

ArticleJACC. Cardiovascular imaging2022

Myocardial Contractile Mechanics in Ischemic Mitral Regurgitation: Multicenter Data Using Stress Perfusion Cardiovascular Magnetic Resonance.

Jonathan D Kochav, Jiwon Kim, Robert Judd, Katherine A Tak, Emmad Janjua, Abigail J Maciejewski, Han W Kim, Igor Klem, John Heitner, Dipan Shah and 13 more

Open access · greenAbstract readMulticenter Study
In one paragraph

Article in JACC. Cardiovascular imaging, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.7field-weighted citation impact, top 31% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. The Society for Cardiovascular Magnetic Resonance Registry at 150,000.Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance · 2024
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

23 authors at 10 institutions in 2 countries.

Jonathan D KochavDivision of Cardiology, Weill Cornell Medicine, New York, New York, USA; Division of Cardiology, Columbia University Irving Medical Center, New York, New York, USA. Electronic address: jww2001@med.cornell.edu.
Jiwon KimDivision of Cardiology, Weill Cornell Medicine, New York, New York, USA.
Robert JuddDuke Cardiovascular Magnetic Resonance Center, Duke University Medical Center, Durham, North Carolina, USA.
Katherine A TakDivision of Cardiology, Weill Cornell Medicine, New York, New York, USA.
Emmad JanjuaDivision of Cardiology, Weill Cornell Medicine, New York, New York, USA; Weill Cornell Medicine-Qatar, Doha, Qatar.
Abigail J MaciejewskiDivision of Cardiology, Weill Cornell Medicine, New York, New York, USA.
Han W KimDuke Cardiovascular Magnetic Resonance Center, Duke University Medical Center, Durham, North Carolina, USA.
Igor KlemDuke Cardiovascular Magnetic Resonance Center, Duke University Medical Center, Durham, North Carolina, USA.
John HeitnerDivision of Cardiology, New York Presbyterian Brooklyn Methodist Hospital, New York, New York, USA.
Dipan ShahDivision of Cardiology, Houston Methodist DeBakey Heart and Vascular Center, Houston, Texas, USA.
William A ZoghbiDivision of Cardiology, Houston Methodist DeBakey Heart and Vascular Center, Houston, Texas, USA.
Chetan ShenoyDivision of Cardiology, University of Minnesota Medical Center, Minneapolis, Minnesota, USA.
Afshin Farzaneh-FarDivision of Cardiology, University of Illinois at Chicago, Chicago, Illinois, USA.
Venkateshwar PolsaniPiedmont Atlanta Hospital, Atlanta, Georgia, USA.
Pablo Villar-CalleDivision of Cardiology, Weill Cornell Medicine, New York, New York, USA.
Michele ParkerDuke Cardiovascular Magnetic Resonance Center, Duke University Medical Center, Durham, North Carolina, USA.
Kevin M JuddHeart Imaging Technologies, Durham, North Carolina, USA.
Omar K KhaliqueDivision of Cardiology, Columbia University Irving Medical Center, New York, New York, USA.
Martin B LeonDivision of Cardiology, Columbia University Irving Medical Center, New York, New York, USA.
Richard B DevereuxDivision of Cardiology, Weill Cornell Medicine, New York, New York, USA.
Robert A LevineDivision of Cardiology, Massachusetts General Hospital, Boston, Massachusetts, USA.
Raymond J KimDuke Cardiovascular Magnetic Resonance Center, Duke University Medical Center, Durham, North Carolina, USA.
Jonathan W WeinsaftDivision of Cardiology, Weill Cornell Medicine, New York, New York, USA.
Cornell University · USDuke Medical Center · USColumbia University Irving Medical Center · USHouston Methodist · USHeart Imaging Technologies (United States) · USMassachusetts General Hospital · USNewYork–Presbyterian Brooklyn Methodist Hospital · USPiedmont Atlanta Hospital · USUniversity of Illinois Chicago · USUniversity of Minnesota Medical Center · US

Funding

POSTDOCTORAL TRAINING IN CARDIOVASCULAR DISEASET32HL007854 · NHLBI · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI Marwah Abdalla, Michael Argenziano · 1996 to 2026
$14.7M
Improving Mitral Compensation In Ischemic RegurgitationR01HL141917 · NHLBI · MASSACHUSETTS GENERAL HOSPITAL · PI AIKAWA, ELENA, BISCHOFF, JOYCE E. · 2018 to 2021
$5.6M
CMR Myocardial Tissue Based Prediction of Ischemic MR Revascularization ResponseR01HL128278 · NHLBI · WEILL MEDICAL COLL OF CORNELL UNIV · PI WEINSAFT, JONATHAN W. · 2015 to 2019
$3.8M
Treating Ventricle and Valve: New Synergies for Ischemic LV Remodeling with MRR01HL128099 · NHLBI · MASSACHUSETTS GENERAL HOSPITAL · PI AKAR, FADI GABRIEL, LEVINE, ROBERT A · 2016 to 2019
$2.8M
Cardiac Fibrosis and Risk Prediction in Cancer Treatment-Related CardiotoxicityK23HL132011 · NHLBI · UNIVERSITY OF MINNESOTA · PI SHENOY, CHETAN N · 2016 to 2020
$884k
Advanced CMR Tissue-Based Prediction of Right Ventricular Dysfunction and Revascularization ResponseK23HL140092 · NHLBI · WEILL MEDICAL COLL OF CORNELL UNIV · PI KIM, JIWON · 2018 to 2022
$847k
NHLBI NIH HHS K23 HL132011NHLBI NIH HHS K23 HL140092NHLBI NIH HHS R01 HL128099NHLBI NIH HHS R01 HL128278NHLBI NIH HHS R01 HL141917NHLBI NIH HHS T32 HL007854
6 · The paper itself

Abstract

backgroundLeft ventricular (LV) ischemia has been variably associated with functional mitral regurgitation (FMR). Determinants of FMR in patients with ischemia are poorly understood.

objectivesThis study sought to test whether contractile mechanics in ischemic myocardium underlying the mitral valve have an impact on likelihood of FMR.

methodsVasodilator stress perfusion cardiac magnetic resonance was performed in patients with coronary artery disease (CAD) at multiple centers. FMR severity was confirmed quantitatively via core lab analysis. To test relationship of contractile mechanics with ischemic FMR, regional wall motion and strain were assessed in patients with inducible ischemia and minimal (≤5% LV myocardium, nontransmural) infarction.

resultsA total of 2,647 patients with CAD were studied; 34% had FMR (7% moderate or greater). FMR severity increased with presence (P < 0.001) and extent (P = 0.01) of subpapillary ischemia: patients with moderate or greater FMR had more subpapillary ischemia (odds ratio [OR]: 1.13 per 10% LV; 95% CI: 1.05-1.21; P = 0.001) independent of ischemia in remote regions (P = NS); moderate or greater FMR prevalence increased stepwise with extent of ischemia and infarction in subpapillary myocardium (P < 0.001); stronger associations between FMR and infarction paralleled greater wall motion scores in infarct-affected territories. Among patients with inducible ischemia and minimal infarction (n = 532), wall motion and radial strain analysis showed impaired subpapillary contractile mechanics to associate with moderate or greater FMR (P < 0.05) independent of remote regions (P = NS). Conversely, subpapillary ischemia without contractile dysfunction did not augment FMR likelihood. Mitral and interpapillary dimensions increased with subpapillary radial strain impairment; each remodeling parameter associated with impaired subpapillary strain (P < 0.05) independent of remote strain (P = NS). Subpapillary radial strain (OR: 1.13 per 5% [95% CI: 1.02-1.25]; P = 0.02) and mitral tenting area (OR: 1.05 per 10 mm

conclusionsAmong patients with CAD and ischemia, FMR severity and adverse mitral apparatus remodeling increase in proportion to contractile dysfunction underlying the mitral valve.

Indexed as

Mitral Valve InsufficiencyHumansInfarctionIschemiaMagnetic Resonance SpectroscopyMyocardiumPerfusionPredictive Value of Testscardiovascular magnetic resonanceischemiamitral regurgitation

Identifiers

PMID35798397
PMCPMC9273017
OpenAlexW4280581929

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.