Evidence map›Paper›PMID 39322999›Full record

ArticleAnnals of noninvasive electrocardiology : the official journal of the International Society for Holter and Noninvasive Electrocardiology, Inc2024

Vectorcardiography Predicts Heart Failure in Patients Following ST Elevation Myocardial Infarction.

Sidney J Perkins, Demetri Monovoukas, Zoey Chopra, Kevin Kucharski, Corey Powell, Anuush Vejalla, Rakesh Latchamsetty, Pallavi Bugga, Vishwaratn Asthana

Abstract read
In one paragraph

Article in Annals of noninvasive electrocardiology : the official journal of the International Society for Holter and Noninvasive Electrocardiology, Inc, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Sidney J PerkinsDepartment of Internal Medicine, University of Michigan, Ann Arbor, Michigan, USA.
Demetri MonovoukasUniversity of Michigan Medical School, Ann Arbor, Michigan, USA.
Zoey ChopraUniversity of Michigan Medical School, Ann Arbor, Michigan, USA.
Kevin KucharskiUniversity of Michigan Medical School, Ann Arbor, Michigan, USA.
Corey PowellConsulting for Statistics, Computing and Analytics Research, University of Michigan, Ann Arbor, Michigan, USA.
Anuush VejallaUniversity of Michigan Medical School, Ann Arbor, Michigan, USA.
Rakesh LatchamsettyDepartment of Internal Medicine-Division of Electrophysiology, University of Michigan, Ann Arbor, Michigan, USA.
Pallavi BuggaDepartment of Emergency Medicine, University of Michigan, Ann Arbor, Michigan, USA.
Vishwaratn AsthanaDepartment of Internal Medicine-Division of Hospital Medicine, University of Michigan, Ann Arbor, Michigan, USA.ORCID 0000-0002-2421-2820

Funding

MICHIGAN MEDICAL SCIENTIST TRAINING PROGRAMT32GM007863 · NIGMS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI COLLINS, KATHLEEN L. · 1985 to 2024
$38.3M
PULMONARY CELLULAR AND MOLECULAR BIOLOGY TRAININGT32HL007749 · NHLBI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Robert Pickett Dickson · 1993 to 2026
$19.9M
SHORT-TERM TRAINING IN HEALTH PROF SCHOOLST35HL007690 · NHLBI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI FLAHERTY, KEVIN R · 1990 to 2024
$3.3M
Frankel Cardiovascular Center Innovation Program "Just Do It" Award.NHLBI NIH HHS T32 HL007749NHLBI NIH HHS T35 HL007690NIGMS NIH HHS T32 GM007863
6 · The paper itself

Abstract

backgroundModeling outcomes, such as onset of heart failure (HF) or mortality, in patients following ST elevation myocardial infarction (STEMI) is challenging but clinically very useful. The acute insult following a myocardial infarction and chronic degeneration seen in HF involve a similar process where a loss of cardiomyocytes and abnormal remodeling lead to pump failure. This process may alter the strength and direction of the heart's net depolarization signal. We hypothesize that changes over time in unique parameters extracted using vectorcardiography (VCG) have the potential to predict outcomes in patients post-STEMI and could eventually be used as a noninvasive and cost-effective surveillance tool for characterizing the severity and progression of HF to guide evidence-based therapies.

methodsWe identified 162 patients discharged from Michigan Medicine between 2016 and 2021 with a diagnosis of acute STEMI. For each patient, a single 12-lead ECG > 1 week pre-STEMI and > 1 week post-STEMI were collected. A set of unique VCG parameters were derived by analyzing features of the QRS complex. We used LASSO regression analysis incorporating clinical variables and VCG parameters to create a predictive model for HF, mortality, or the composite at 90, 180, and 365 days post-STEMI.

resultsThe VCG model is most predictive for HF onset at 90 days with a robust AUC. Variables from the HF model mitigating or driving risk, at a p < 0.05, were primarily parameters that assess the area swept by the depolarization vector including the 3D integral and convex hull in select spatial octants and quadrants.

Indexed as

Heart FailurePredictive Value of TestsST Elevation Myocardial InfarctionVectorcardiographyAgedElectrocardiographyFemaleHumansMaleMichiganMiddle AgedECGheart failureSTEMIVCG

Identifiers

PMID39322999
PMCPMC11424495

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Registered trials

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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.