Smart Home Care of Cloud Base ECG on the Cardiotoxicity Prevention on the Cancer Patients.
NCT04885088 · Status: UNKNOWN · Type: OBSERVATIONAL · Enrollment: 400
Last updated 2021-05-13
Summary
Thoracic malignancy is the most commonly diagnosed cancer worldwide.1,2 The incidence of thoracic malignancy has decreased in North America, but not in Asia, where it continues to show an increasing trend. A notable manifestation of the bimodal age distribution of thoracic malignancy has been observed in women. The occurrence of early-onset thoracic malignancy in the Asian population is earlier than that in the Western population, resulting in a higher incidence of thoracic malignancy in young Asian women. Moreover, the late onset age distribution of patients with thoracic malignancy in Asia (40-50 years) is earlier than that in Western countries (60-70 years), peaking at the age of 45-50 years in most women. The age-specific incidence rates of thoracic malignancy increase sharply until the menopausal stage.
Cardiovascular morbidity is higher among women with thoracic malignancy involving the thorax who had received radiotherapy (RT) compared with those not involving the thorax but receiving the same treatment. Thus far, the risks and time to onset of cardiac complications have been unclear in both young and old women. The proportion of young women with thoracic malignancy is higher in Asia than in Western countries. Furthermore, whether Asian women with thoracic malignancy are susceptible to RT remains unclear.
Anthracyclines are important therapeutic agents for breast cancer. Anthracycline-based regimens have similar or improved outcomes relative to the standard treatment regimen of cyclophosphamide, methotrexate, and fluorouracil. However, cardiotoxicity is a long-term toxicity associated with these regimens. The combined use of adjuvant anthracycline-based chemotherapy (CT) and RT may result in high cardiotoxicity. Nonetheless, no clear information on the effects of this combined therapy on the time to onset of both cardiac complications and cardiotoxicity is available. Furthermore, whether the cardiotoxicity of adjuvant RT and anthracycline-based CT is associated with age and ethnicity in women with thoracic malignancy remains unclear.
Therefore, cardiovascular disease is undoubtedly one of the most challenging health problems in the world. More efforts are needed to prevent and better control of this disease. Our proposed monitoring program is to use AI to monitor the basal value variation of personalized cardiovascular disease in cancer patients before and after chemoradiation. In the first year, our team focused on cardiotoxicity associated with cardiovascular disease models and cancer treatments. In the second year, we will apply knowledge in a clinical setting and calculate the severity of cardiac toxicity and its incidence and time response after cancer treatment. In the third year, high-risk groups will be identified to provide preventive intervention to reduce the risk of cancer-treatment related cardiotoxicity.
Conditions
- Artificial Intelligent
- Cardiotoxicity
- Cardiac Monitor
- Cancer Treatment
- ECG
Interventions
- DEVICE
-
Wisdom bracelet
Wisdom bracelet
Sponsors & Collaborators
-
Taipei Medical University WanFang Hospital
collaborator OTHER -
Taipei Medical University Hospital
collaborator OTHER -
Lotung Poh-Ai Hospital
collaborator OTHER -
Ju-Chi Liu
lead OTHER
Principal Investigators
-
Ju-Chi Liu, PHD, MD · Taipei Medical University Shuang Ho Hospital
Eligibility
- Min Age
- 20 Years
- Sex
- ALL
- Healthy Volunteers
- No
Timeline & Regulatory
- Start
- 2021-07-01
- Primary Completion
- 2023-06-30
- Completion
- 2023-06-30
More Related Trials
-
The Benefits of Wearable AI in Post-Discharge Management of AMI Patients
NCT07288229 ·Status: NOT_YET_RECRUITING ·Phase: NA
-
Exploratory Study of Apple Watch Electrocardiographic Diagnostic Performance Enhanced by an Artificial Intelligence Algorithm
NCT04792905 ·Status: COMPLETED
-
Performance and Accuracy of an AI Enhanced Smart Watch Single Lead ECG
NCT05450809 ·Status: COMPLETED
-
Automated Diagnostic Performance of Smartwatch ECG for Arrhythmia Detection Using the PulseAI Neural Network.
NCT05668377 ·Status: UNKNOWN
-
Clinical Implication of Atrial Fibrillation Detection Using Wearable Device in Patients With Cryptogenic Stroke
NCT04624646 ·Status: ACTIVE_NOT_RECRUITING ·Phase: NA
-
Proactive Risk Evaluation for Cardiac Implantable Electronic Device Strategy Using AI-ECG
NCT07217236 ·Status: RECRUITING ·Phase: NA
-
Continuous Data Collection and Analysis for Stroke Prevention Using a Wearable Sensor
NCT03441022 ·Status: WITHDRAWN ·Phase: NA
-
Smartwatch Paroxysmal Arrhythmia Detection Compared with Holter
NCT06425887 ·Status: RECRUITING
-
Wearable ECG for AF Screening and Stroke Risk Assessment
NCT06907264 ·Status: NOT_YET_RECRUITING
-
Using Wearable Device to Improve Quality of Palliative Care
NCT05054907 ·Status: UNKNOWN
-
Machine Learning-based Early Clinical Warning of High-risk Patients
NCT05410171 ·Status: UNKNOWN ·Phase: NA
-
Observational Clinical Investigation of EKG Diagnostic Performance of the Apple Watch Augmented With an AI Algorithm
NCT05045456 ·Status: COMPLETED
-
Using Artificial Intelligence (AI)-Assisted Pulse Diagnosis Analysis on Precision Critical Medicine.
NCT04675424 ·Status: COMPLETED
-
Clinical Performance of Withings Move ECG Software for Atrial Fibrillation Detection
NCT04493749 ·Status: ACTIVE_NOT_RECRUITING
-
Atrial Fibrillation Detecting Software Gung Atrial Fibrillation Detecting Software
NCT05872516 ·Status: COMPLETED ·Phase: NA
-
Relevance of Recording an ECG Trace With a Connected Watch
NCT06272396 ·Status: RECRUITING ·Phase: NA
-
An Evaluation of Concordance of Smartwatch ECG and One Clinical ECG and Comparison of The Two ECGS in Terms of Predictive Risks
NCT05617391 ·Status: ACTIVE_NOT_RECRUITING
-
Continous Monitoring of Vital Signs on Hospitalized Cancer Patients.
NCT04299230 ·Status: COMPLETED
-
The Role of Wearable Devices in Cardiothoracic Surgery: Predicting and Detecting Early Postoperative Complications
NCT04824066 ·Status: RECRUITING
-
A Study on the Effectiveness of the Application of an Artificial Intelligence Algorithm for Calibrating PPG With ECG to Improve the Accuracy of Atrial Fibrillation Burden Estimation
NCT06552468 ·Status: COMPLETED
-
Automated Cardiac Arrest Detection and Alerting in Daily Life
NCT06692374 ·Status: NOT_YET_RECRUITING
-
Evaluation of ECG Transmission and AI Models Using Apple Watch ECGs and Symptoms Data Collected Using a Mayo iPhone App
NCT05324566 ·Status: COMPLETED
-
Cardiopulmonary Training in the Victims With Multiple Morbidities by Application of Novel Heart Rate Sensing Clothes
NCT04022590 ·Status: UNKNOWN ·Phase: NA
-
Artificial Intelligence-assisted Diagnosis and Prognostication in COVID-19 Using Electrocardiograms
NCT04510441 ·Status: UNKNOWN
-
A Wearable With Photoplethysmography and 6-lead Electrocardiography for Atrial Fibrillation Detection
NCT04281927 ·Status: COMPLETED