Background: Anti-cancer treatment can be fraught with cardiovascular complications, which is the most common cause of death among oncological survivors. Without appropriate cardiomonitoring during anti-cancer treatment, it becomes challenging to detect early signs of cardiovascular complications. In order to achieve higher survival rates, it is necessary to monitor oncological patients outpatiently after anti-cancer treatment administration. In this regard, we aim to evaluate the efficacy of single-lead ECG remote monitoring to detect cardiotoxicity in cancer patients with minimal cardiovascular diseases after the first cycle of polychemotherapy.
Materials And Methods: The study included patients 162 patients over 18 years old with first diagnosed different types of solid tumors, planed for adjuvant (within 8 weeks after surgery) or neoadjuvant polychemotherapy. All patients were monitored, outpatiently, during 14-21 days (depending on the regimen of polychemotherapy) after polychemotherapy administration using single-lead ECG.
Results: QTc > 500 mc prolongation was detected in 8 patients (6.6 %), first-diagnosed arial fibrillation was detected in 11 patients (9 %) in period after chemotherapy administration. Moreover, left ventricular diastolic dysfunction using single-lead ECG after polychemotherapy was detected in 49 (40.1 %) patients with sensitivity 80 %, specificity 95 %, AUC 0.88 (95 % CI, 0.82-0.93).
Conclusions: The side effects of cancer treatment may cause life-threatening risks. Early identification of cardiotoxicity plays a vital role in the solution of this problem. Using portable devices to detect early cardiotoxicity is a simple, convenient and affordable screening method, that can be used for promptly observation of patients.
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http://dx.doi.org/10.1016/j.ijcha.2024.101336 | DOI Listing |
J Cardiovasc Dev Dis
December 2024
Cardiovascular Section, Department of Internal Medicine, Wake Forest University School of Medicine, Winston-Salem, NC 27101, USA.
: Fatal coronary heart disease (FCHD) affects ~650,000 people yearly in the US. Electrocardiographic artificial intelligence (ECG-AI) models can predict adverse coronary events, yet their application to FCHD is understudied. : The study aimed to develop ECG-AI models predicting FCHD risk from ECGs.
View Article and Find Full Text PDFComput Methods Programs Biomed
December 2024
College of Biomedical Engineering, Sichuan University, Chengdu, 610065, Sichuan, China. Electronic address:
Background And Objective: Obstructive Sleep Apnea (OSA) is among the most sleep-related breathing disorders, capable of causing severe neurological and cardiovascular complications if left untreated. The conventional diagnosis of OSA relies on polysomnography, which involves multiple electrodes and expert supervision. A promising alternative is single-channel Electrocardiogram (ECG) based diagnosis due to its simplicity and relevance.
View Article and Find Full Text PDFHeliyon
December 2024
Centro Cardiologico Monzino IRCCS, 20138, Milan, Italy.
Background: Traditional screening methods, such as 12-lead electrocardiograms (ECGs) and Holter monitors, often fall short in detecting transient arrhythmias. However, advancements in wearable technology, like the Apple Watch®, enable real-time rhythm monitoring and specific arrhythmia detection through dedicated algorithms.
Case Description: A 60-year-old man with a history of arrhythmogenic cardiomyopathy and an implanted cardioverter-defibrillator (ICD), during a walk, experienced palpitations and dizziness; the Apple Watch® alerted him of an elevated heart rate.
Circ J
December 2024
Department of Cardiovascular Medicine, Endocrinology and Metabolism, Faculty of Medicine, Tottori University.
Background: The Apple Watch (AW) can record single-lead electrocardiograms (ECGs) and has been investigated for arrhythmia detection. In this study we evaluated its accuracy in identifying the origin of premature ventricular contractions (PVCs) vs. standard 12-lead ECGs.
View Article and Find Full Text PDFZhongguo Yi Liao Qi Xie Za Zhi
November 2024
Guangdong BIOLIGHT Innovation Research Institute, Zhuhai, 519080.
To address the issue of the difficulty in implementing non-invasive continuous blood pressure measurement technology in China, this study developed a high-performance synchronous electrocardiogram (ECG) and photoplethysmography (PPG) signal acquisition system. A PC-based human-computer interaction software platform was constructed, and continuous blood pressure measurement-related algorithms were integrated. Multiple feature parameters such as pulse wave transit time based on synchronous ECG and PPG signals were extracted, enabling non-invasive continuous blood pressure measurement.
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