Key result
Combined phonocardiogram and echocardiogram nomogram achieves ~0.95 AUC, outperforming conventional nomograms for diagnosing HFpEF.
Why the study?
HFpEF is associated with high hospitalization and mortality rates, motivating the construction and validation of a nomogram integrating echocardiogram and phonocardiogram features to assist clinical decision-making.
Does a nomogram integrating phonocardiogram and echocardiogram features improve the diagnosis of HFpEF compared to conventional methods?
Observational (n=204)
No
Does a nomogram integrating phonocardiogram and echocardiogram features improve the diagnosis of HFpEF compared to conventional methods?
Effect estimate: AUC 0.945 (95% CI 0.908-0.982)
A novel nomogram integrating phonocardiogram and echocardiogram features provides high diagnostic accuracy for heart failure with preserved ejection fraction.
May aid HFpEF diagnosis in research settings; leaves open prospective validation before clinical adoption.
BACKGROUND: Heart failure with preserved ejection fraction (HFpEF) is associated with high hospitalization and mortality rates, representing a significant healthcare burden. This study aims to utilize various information including echocardiogram and phonocardiogram to construct and validate a nomogram, assisting in clinical decision-making. METHODS: This study analyzed 204 patients (68 HFpEF and 136 non-HFpEF) from the First Affiliated Hospital of Chongqing Medical University. A total of 49 features were integrated and used, including phonocardiogram, echocardiogram features, and clinical parameters. The least absolute shrinkage and selection operator (LASSO) regression was used to select the optimal matching factors, and a stepwise logistic regression was employed to determine independent risk factors and develop a nomogram. Model performance was evaluated by the area under receiver operating characteristic (ROC) curve (AUC), calibration curve, decision curve analysis (DCA), and clinical impact curve (CIC). RESULTS: The nomogram was constructed using five significant indicators, including NT-proBNP (OR = 4.689, p = 0.015), E/e' (OR = 1.219, p = 0.032), LAVI (OR = 1.088, p < 0.01), D/S (OR = 0.014, p < 0.01), and QM1 (OR = 1.058, p < 0.01), and showed a better AUC of 0.945 (95% CI = 0.908-0.982) in the training set and 0.933 (95% CI = 0.873-0.992) in the testing set compared to conventional nomogram without phonocardiogram features. The calibration curve and Hosmer-Lemeshow test demonstrated no statistical significance in the training and testing sets (p = 0.814 and p = 0.736), indicating the nomogram was well-calibrated. The DCA and CIC results confirmed favorable clinical usefulness. CONCLUSION: The nomogram, integrating phonocardiogram and echocardiogram features, enhances HFpEF diagnostic efficiency, offering a valuable tool for clinical decision-making.
No takes yet. Share an insight, caveat, or question.
Cao et al. (2024) conducted an observational in Heart failure with preserved ejection fraction (HFpEF) (n=204). Nomogram integrating phonocardiogram and echocardiogram features vs. Conventional nomogram without phonocardiogram features was evaluated on Area under receiver operating characteristic (ROC) curve (AUC) for HFpEF diagnosis (AUC 0.945, 95% CI 0.908-0.982). A nomogram integrating phonocardiogram and echocardiogram features achieved an AUC of 0.945 (95% CI 0.908-0.982) for diagnosing HFpEF, outperforming a conventional nomogram.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: