Evidence map›Paper›PMID 40008483›Full record

ArticleAnnals of noninvasive electrocardiology : the official journal of the International Society for Holter and Noninvasive Electrocardiology, Inc2025

Predictive Value of Noninvasive Cardiac Function Monitoring Combined With GRACE Score for Short-Term Outcomes in Patients With ST-Segment Elevation Myocardial Infarction.

Jiayan Xin, Yingwu Liu, Meng Ning, Chong Zhang

Abstract read
In one paragraph

Article in Annals of noninvasive electrocardiology : the official journal of the International Society for Holter and Noninvasive Electrocardiology, Inc, 2025. 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

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2 · The registry

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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. Refining STEMI Prognosis: Expanding the Role of Noninvasive Cardiac Monitoring Beyond the GRACE Score.Annals of noninvasive electrocardiology : the official journal of the International Society for Holter and Noninvasive Electrocardiology, Inc · 2025
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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Jiayan XinThe Third Central Clinical College of Tianjin Medical University, Tianjin, China.ORCID 0000-0001-9939-4609
Yingwu LiuArtificial Cell Engineering Technology Research Center, Tianjin, China.
Meng NingArtificial Cell Engineering Technology Research Center, Tianjin, China.
Chong ZhangThe Third Central Clinical College of Tianjin Medical University, Tianjin, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo investigate the correlation between non-invasive cardiac function monitoring indexes and recent adverse prognosis in patients with STEMI. The hemodynamic indexes with high diagnostic value were selected to construct a new risk prediction model combined with GRACE scores, and the efficiency of the new prediction model was evaluated.

methodsSTEMI patients who met the inclusion and exclusion criteria were selected. All patients were followed for 6 months of major adverse cardiovascular events (MACE). The non-invasive cardiac function monitoring indexes were analyzed by univariate and multivariate logistic regression. The ROC curve was used to evaluate the accuracy of non-invasive cardiac function indexes predicting MACE. Then, a new risk prediction model was established and its prediction efficiency was evaluated by ROC curve.

resultsPatients were divided into MACE group (N = 69) and non-MACE group (N = 173), stroke volume (SV), cardiac output (CO), cardiac index (CI), cardiac time intervals (CTI), early diastolic filling rate (EDFR), end-diastolic volume (EDV), and systemic vascular resistance (SVR) were found to be significant predictors of recent MACE events in STEMI patients. Multivariate logistic regression analysis confirmed that indicators of noninvasive cardiac function were independent predictors. In addition, the combination of SV and CTI with the GRACE score has the potential to enhance the predictive accuracy for MACE.

conclusionNon-invasive hemodynamic indicators SV, CO, CI, CTI, EDFR, EDV and SVR can not only independently predict the risk of recent MACE in patients with STEMI, but can also be used as joint indicators to significantly improve the predictive ability of GRACE score.

Indexed as

ElectrocardiographyHeart Function TestsST Elevation Myocardial InfarctionAgedFemaleHumansMaleMiddle AgedPredictive Value of TestsPrognosisRisk Assessmentacute myocardial infarctioncombined predictive valuehemodynamicsnon‐invasive cardiac function

Identifiers

PMID40008483
PMCPMC11862889

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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.