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A novel scoring system for heart failure screening utilizing combined electrocardiogram, phonocardiogram, and radial
Junjie Bian1, Kok-Han Chee2, Chengyu Liu3
1Department of Biomedical Engineering, Faculty of Engineering, Universiti Malaya, 50603, Kuala Lumpur, Malaysia.
Insights
A new risk score using electrocardiogram, phonocardiogram, and radial artery data aids early heart failure detection. This tool improves screening accuracy, enabling timely interventions and better patient outcomes.
Area of Science:
- Cardiology
- Medical Diagnostics
- Biomedical Engineering
Background:
- Heart failure presents a significant global health challenge with high prevalence and mortality rates.
- Current screening methods for heart failure require improvement to enhance early detection capabilities.
Purpose of the Study:
- To develop a risk score for early clinical detection of heart failure.
- To utilize features from electrocardiogram (ECG), phonocardiogram (PCG), and radial artery measurements for this score.
Main Methods:
- Data from 813 participants were collected and randomly split into training (70%) and testing (30%) sets.
- Logistic regression and stepwise regression identified key features for the scoring system.
- The risk score's screening performance was evaluated using odds ratio (OR), area under the curve (AUC), sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV).
Main Results:
- Participants with heart failure exhibited higher risk scores compared to those without.
- An elevated score correlated with increased heart failure risk in both training (OR=4.461) and testing (OR=3.854) sets.
- The risk score demonstrated good discriminative ability with AUC values of 0.802 (training) and 0.762 (testing).
Conclusions:
- The developed risk score shows significant potential as a valuable tool for early heart failure identification.
- This scoring system may facilitate timely interventions, potentially improving patient prognosis.
- Further validation and implementation of this tool could enhance cardiovascular care pathways.
Abstract:
Heart failure has high prevalence and mortality all over the world, the screening of heart failure still needs improving. This study aimed to construct a risk score of early clinical detection for heart failure based on features associated with electrocardiogram (ECG), phonocardiogram (PCG), and radial artery. This study collected data of 813 participants from the First People's Hospital of Shangqiu city, between January 2023 and December 2023. All the samples were randomly divided into the training set and the testing set at a ratio of 7:3. Features selected through logistic regression and stepwise regression were included in the construction of the scoring system. The screening values of this scoring system for heart failure were verified in the testing set, with the odds ratio (OR), area under the curve (AUC), sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) as well as their respective 95% confidence interval (CI) for evaluation. Totally 813 participants were included in this study. Participants with heart failure had higher scores than those without. The elevation of the score was associated with increased risk of heart failure in the training set (OR = 4.461, 95%CI: 3.209-6.200) and testing set (OR = 3.854, 95%CI: 2.364-6.281). The AUC of the risk score for heart failure was 0.802 (95%CI: 0.744-0.859) in the training set and 0.762 (95%CI: 0.669-0.855) in the testing set. The risk score had good screening value for heart failure, which might provide a valuable tool for early identification of patients with heart failure and offer timely interventions for these patients to improve their prognosis.
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