The diagnostic efficiency of artificial intelligence based 2 hours Holter monitoring in premature ventricular and supraventricular contractions detection

Abstract

AbstractBackgroundElectrocardiography (ECG) and 24 hours Holter monitoring (24 h‐Holter) provided valuable information for premature ventricular and supraventricular contractions (PVC and PSVC). Currently, artificial intelligence (AI) based 2 hours single‐lead Holter (2 h‐Holter) monitoring may provide an improved strategy for PSVC/PVC diagnosis.HypothesisAI combined with single‐lead Holter monitoring improves PSVC/PVC detection.MethodsIn total, 170 patients were enrolled between August 2022 and 2023. All patients wore both devices simultaneously; then, we compared diagnostic efficiency, including the sensitivity/specificity/positive predictive‐value (PPV) and negative predictive‐value (NPV) in detecting PSVC/PVC by 24 h‐Holter and 2 h‐Holter.ResultsThe PPV and NPV in patients underwent 2 h‐Holter were 76.00%/87.50% and 96.35%/98.55, respectively, and the sensitivity and specificity were 79.17%/91.30%, and 95.65%/97.84% in PSVC/PVC detection compared with 24 h‐Holter. The areas under the ROC curves (AUCs) for PSVC and PVC were 0.885 and 0.741, respectively (p < .0001).ConclusionsThe potential advantages of the 2 h‐Holter were shortened wearing period, improved convenience, and excellent consistency of diagnosis.