Multimodal Approach to Cardiac Screening of Elite Ice Hockey Players During the NHL Scouting Combine

Neary, J. Patrick; Baker, Taylor P.; Jamnik, Veronica; Gledhill, Norman; Chaikovsky, Illya; Frolov, Yuri A.; Wasiliew, Valery E.

doi:10.1249/01.mss.0000495720.24160.ee

Cited by 5 publications

(2 citation statements)

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“…This study and our previous works showed that the combination of ECG and HRV parameters has the best diagnostic value [30][31][32][33][34][35].…”

Section: Discussionsupporting

confidence: 67%

Subtle changes on electrocardiogram in severe patients with COVID-19 may be predictors of treatment outcome

Chaikovsky,

Dziuba,

Kryvova

et al. 2024

Preprint

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Background Two years after the COVID-19 pandemic, it became known that one of the complications of this disease is myocardial injury. Electrocardiography (ECG) and cardiac biomarkers play a vital role in the early detection of cardiovascular complications and risk stratification. The study aimed to investigate the value of a new electrocardiographic metric for detecting subtle myocardial injury in patients during COVID-19 treatment. Methods The study was conducted in 2021. A group of 26 patients with verified COVID-19 diagnosis admitted to the intensive care unit for infectious diseases was examined. The severity of a patient's condition was calculated using the NEWS score. The digital ECGs were repeatedly recorded (at the beginning and 2 to 4 times during the treatment). 240 primary and composite ECG parameters were analyzed for each electrocardiogram. Among these patients, 6 patients died during treatment. Cluster analysis was used to identify subgroups of patients that differed significantly in terms of disease severity (NEWS), SрО2and integral ECG index (an indicator of the state of the cardiovascular system). Results Using analysis of variance (ANOVA repeated measures), a statistical assessment of changes of indicators in subgroups at the end of treatment was given. These subgroup differences persisted at the end of the treatment. To identify potential predictors of mortality, critical clinical and ECG parameters of surviving(S) and non-surviving patients (D) were compared using parametric and non-parametric statistical tests. A decision tree model to classify survival in patients with COVID-19 was constructed based on partial ECG parameters and NEWS score. Conclusions A comparison of potential mortality predictors showed no significant differences in vital signs between survivors and non-survivors at the beginning of treatment. A set of ECG parameters was identified that were significantly associated with treatment outcomes and may be predictors of COVID-19 mortality: T-wave morphology (SVD), Q-wave amplitude, and R-wave amplitude (lead I).

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“…This study and our previous works showed that the combination of ECG and HRV parameters has the best diagnostic value [30][31][32][33][34][35].…”

Section: Discussionsupporting

confidence: 67%

Subtle changes on electrocardiogram in severe patients with COVID-19 may be predictors of treatment outcome

Chaikovsky,

Dziuba,

Kryvova

et al. 2024

Preprint

View full text Add to dashboard Cite

show abstract

“…The suggested scaling method was invented precisely for solving practical problems and already has widespread applications [12][13][14] in solving various tasks in different areas of clinical medicine, sports medicine, and large-scale population studies, including the analysis of large ECG data arrays of the Oxford Population Health study.…”

Section: Ecg and Heart Rate Variability Scaling Methodsmentioning

confidence: 99%

Detection of the Mild Myocardial Injury during Percutaneous Coronary Intervention Using Evaluation of Minor Changes on Electrocardiogram and Heart Rate Variability

Chaikovsky,

Dziuba,

Kryvova

et al. 2024

Preprint

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Background As cardiovascular mortality continues to increase globally, Percutaneous Coronary Intervention (PCI) with stent placement stands out as a cutting-edge and highly effective treatment for severe cardiovascular diseases. However, the inherent invasiveness of any endovascular procedure introduces the risk of coronary vessel and myocardial damage. This study aimed to evaluate the utility of a novel electrocardiographic metric for detecting subtle myocardial injuries after coronary stenting. Materials and Methods This investigation was conducted in 2021 at the Kyiv Heart Institute of the Ministry of Healthcare of Ukraine. The study involved 23 patients who underwent PCI, each subject to a meticulous preoperative examination. A paired measurement approach was employed, encompassing 3-minute ECG recordings both before and several hours after the operation, using a compact ECG device. Each pair of electrocardiograms underwent thorough analysis, scrutinizing 240 primary and computed ECG parameters. Results The analysis delineated a distinct subgroup that exhibited significant myocardial damage after stenting. This subgroup was characterized by an older average age and more stents than their counterparts. Notably, a concurrent reduction in the psychoemotional state index was observed alongside ECG alterations in these patients, suggesting a correlation between myocardial damage and psychoemotional distress. Discussion The introduction of a new electrocardiographic index has illuminated the subtle myocardial damage incurred during PCI. The findings of this study underscore the complex interplay between physical cardiac trauma and psychological stress, highlighting the importance of a comprehensive approach to post-PCI patient assessment. Conclusions The newly devised electrocardiographic metric proved to be a significant advancement in the early detection of myocardial damage after PCI. The metric's ability to capture not only physiological but also psychoemotional changes is a pivotal step toward more integrative post-operative patient care, paving the way for enhanced recovery protocols and personalized treatment strategies in interventional cardiology.

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New metrics to assess the subtle changes of the heart's electromagnetic field

Chaikovsky¹,

Примин²,

Nedayvoda³

et al. 2023

Advanced Methods in Biomedical Signal Processing and Analysis

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Multimodal Approach to Cardiac Screening of Elite Ice Hockey Players During the NHL Scouting Combine

Cited by 5 publications

References 0 publications

Subtle changes on electrocardiogram in severe patients with COVID-19 may be predictors of treatment outcome

Subtle changes on electrocardiogram in severe patients with COVID-19 may be predictors of treatment outcome

Detection of the Mild Myocardial Injury during Percutaneous Coronary Intervention Using Evaluation of Minor Changes on Electrocardiogram and Heart Rate Variability

New metrics to assess the subtle changes of the heart's electromagnetic field

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