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

ABSTRACT Objective To 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 th...

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Veröffentlicht in:Annals of noninvasive electrocardiology Jg. 30; H. 2; S. e70056 - n/a
Hauptverfasser: Xin, Jiayan, Liu, Yingwu, Ning, Meng, Zhang, Chong
Format: Journal Article
Sprache:Englisch
Veröffentlicht: United States John Wiley & Sons, Inc 01.03.2025
John Wiley and Sons Inc
Wiley
Schlagworte:
acute myocardial infarction
Aged
Cardiac arrest
Cardiac arrhythmia
Cardiac function
Cardiac output
Cardiology
Cardiovascular disease
Cerebral infarction
combined predictive value
Electrocardiography
Electrocardiography - methods
Enzymes
Female
Heart attacks
Heart failure
Heart Function Tests - methods
Hemodynamics
Hospitals
Humans
Indicators
Male
Medical laboratories
Middle Aged
Monitoring
Mortality
Multivariate analysis
Myocardial infarction
non‐invasive cardiac function
Original
Patients
Prediction models
Predictions
Predictive Value of Tests
Prognosis
Regression analysis
Risk
Risk Assessment - methods
ST Elevation Myocardial Infarction - diagnosis
ST Elevation Myocardial Infarction - physiopathology
Statistical analysis
Stroke volume
Variables
Vital signs
non‐invasive cardiac function
acute myocardial infarction
combined predictive value
hemodynamics
ISSN:1082-720X, 1542-474X, 1542-474X
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Zusammenfassung:ABSTRACT Objective To 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. Methods STEMI 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. Results Patients 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. Conclusion Non‐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. This study systematically analyzed non‐invasive cardiac function monitoring indicators and proved that non‐invasive hemodynamic indicators not only have the ability to independently predict the short‐term MACE risk of STEMI patients, but also can be used as combined indicators to significantly improve the predictive ability of GRACE score.
Bibliographie:The authors received no specific funding for this work.
Funding
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Funding: The authors received no specific funding for this work.
ISSN:1082-720X
1542-474X
1542-474X
DOI:10.1111/anec.70056