FAPO-2: Cardiac Patient Monitoring Tool for Clinical Observation and Arrhythmia Detection
FAPO-2
1 other identifier
interventional
520
1 country
1
Brief Summary
The FAPO-2 study (Patient Monitoring Tool for Clinical Observation and Arrhythmia Detection) is a prospective, interventional, non-randomized study designed to evaluate the feasibility, usability, clinical effectiveness, and cost-efficiency of a wearable-enabled remote monitoring strategy in adult cardiac patients. The intervention consists of active clinical management of patients via teleconsultations, triggered by automated alerts generated through wearable data integrated into a centralized digital platform. FAPO-2 will include patients with chronic cardiovascular conditions and those undergoing recent minimally invasive interventions. The central objective is to validate a structured model for early arrhythmia detection, remote risk stratification, and timely clinical action. A total of 520 patients aged ≥22 years will be enrolled, stratified by sex (1:1), and followed at the Heart Institute (InCor) of the University of São Paulo. Participants will be allocated into one of four protocol groups: Group 1 - Pilot (n=15): Healthy volunteers monitored for \~14±3 days using both the smartwatch and a portable holter system to validate usability, skin tolerability, signal integrity, and data flow within the platform. Group 2 - Extensive Outpatient Monitoring (n=150): Patients with chronic cardiovascular diseases monitored over a 45-day period. During 30 days, monitoring will be performed using a smartwatch to capture blood pressure, oxygen saturation, heart rate, and single-lead ECG. For 15 days, participants will use both the smartwatch (for HR and ECG) and a portable holter system. Group 3 - Extensive Post-Intervention Monitoring (n=50): Patients recently undergoing procedures such as angioplasty, TAVI, or ablation, following the same monitoring protocol as Group 2. Group 4 - Optimized Outpatient Monitoring (n=305): Patients with stable chronic cardiac disease monitored for 15±3 days, using both devices simultaneously for HR and ECG (smartwatch) and portable holter system.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P75+ for not_applicable
Started Feb 2025
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
Study Start
First participant enrolled
February 7, 2025
CompletedFirst Submitted
Initial submission to the registry
August 19, 2025
CompletedFirst Posted
Study publicly available on registry
September 15, 2025
CompletedPrimary Completion
Last participant's last visit for primary outcome
January 31, 2026
CompletedStudy Completion
Last participant's last visit for all outcomes
February 28, 2026
CompletedSeptember 15, 2025
August 1, 2025
12 months
August 19, 2025
September 8, 2025
Conditions
Keywords
Outcome Measures
Primary Outcomes (3)
Incidence and number of Atrial Fibrillation (AF) events detected
Incidence and total number of AF events detected, stratified by study group and device type (smartwatch, portable Holter). This allows assessment of AF detection rate across different monitoring protocols and devices during the follow-up period.
During the monitoring period for each group, as specified (14-45 days depending on group)
Number of critical health alerts generated by the FAPO-SI³ platform
Alerts categorized by physiological parameter: blood pressure (BP), heart rate (HR), and oxygen saturation (SpO₂). Mean clinical response time to alerts will be calculated per patient during their respective monitoring period, allowing assessment of platform responsiveness and clinical workflow efficiency.
During the monitoring period for each group, as specified (14-45 days depending on group)
Patient risk classification generated by the AI model
Distribution of patients across AI-generated risk categories (e.g., low, moderate, high) based on physiological and biometric data collected from the smartwatch and portable Holter system during the monitoring period.
During the monitoring period for each group, as specified (14-45 days depending on group)
Secondary Outcomes (2)
Patient risk classification generated by the AI model
During the monitoring period for each group, as specified (14-45 days depending on group)
Adverse events related to device use
From enrollment through the monitoring period, up to 45 days depending on study group
Study Arms (4)
Pilot Group
EXPERIMENTALHealthy volunteers monitored for \~14±3 days using both a smartwatch and a portable holter system to validate usability, skin tolerability, signal integrity, and data flow within the platform.
Extensive Ambulatory Monitoring Group
ACTIVE COMPARATORPatients with chronic cardiovascular diseases monitored over 45±3 days. For 30 days, participants use the smartwatch to collect blood pressure, oxygen saturation (SpO2), heart rate (HR), and sigle-lead ECG. Also, for 15 days, participants use both smartwatch (HR and ECG only) and portable holter system simultaneously, with the patch providing continuous ECG monitoring.
Extensive Post-Intervention Monitoring
ACTIVE COMPARATORPatients who have recently undergone minimally invasive cardiovascular procedures such as angioplasty, transcatheter aortic valve implantation (TAVI), or catheter ablation. Monitoring occurs over 45±3 days. For 30 days, participants use the smartwatch to collect blood pressure, oxygen saturation (SpO2), heart rate (HR), and single-lead ECG. Also, for 15 days, both the smartwatch (HR and ECG only) and the portable holter system are used simultaneously, with the portable holter system providing continuous ECG monitoring.
Optimized Outpatient Monitoring
ACTIVE COMPARATORPatients with stable chronic cardiac disease monitored for 15±3 days using both the smartwatch captures heart rate and single-lead ECG, while the portable holter system provides continuous ECG monitoring.
Interventions
Single-lead ECG, blood pressure (BP), oxygen saturation (SpO2), and continuous heart rate (HR).
continuous ECG monitoring for 14 days for comparison with the data from the smartwatch
Remote consultations triggered by critical alerts based on predefined thresholds.
Data analysis using artificial intelligence for prioritization of patients based on health data collected from wearables.
Single-lead ECG and continuous heart rate (HR)
Eligibility Criteria
You may qualify if:
- Patients diagnosed with cardiovascular disease, of both sexes, aged over 22 years;
- Provision of informed consent through signature of the Informed Consent Form (ICF);
- Assentation to adhere to study procedures and requirements;
- Patients indicated for outpatient follow-up due to a cardiovascular condition, or with clinical parameters indicating the need for conventional surgical or catheter-based interventions (e.g., catheter ablation for arrhythmias, transcatheter aortic valve implantation, percutaneous coronary intervention, etc.);
- Low or no risk of skin injury, based on Braden Scale clinical criteria or clinical team assessment
You may not qualify if:
- Presence of skin conditions, such as vitiligo, lupus, or atopic dermatitis, as well as tattoos on the wrist that may interfere with the smartwatch's optical sensor readings;
- Known sensitivity or history of allergic reactions to components of the wearable devices or related items, such as adhesives or electrodes;
- Inability to properly use the wearable monitoring devices due to physical, cognitive, or technological limitations;
- Presence of a peripherally inserted central catheter (PICC) or arteriovenous fistula;
- Presence of implanted cardiac devices, such as pacemakers, defibrillators, or cardiac resynchronization devices, which prevent ECG acquisition via smartwatch;
- Diagnosis of conditions associated with narrowing or obstruction of the aorta and subclavian arteries (e.g., Stanford Type A chronic aortic dissection, Takayasu arteritis, Subclavian Steal Syndrome, or Kawasaki disease), which may cause discrepancies in blood pressure between upper limbs and interfere with study assessments.
Contact the study team to confirm eligibility.
Sponsors & Collaborators
- University of Sao Paulolead
- Samsung Eletrônica da Amazônia Ltdacollaborator
Study Sites (1)
Instituto do Coracao, HCFMUSP
São Paulo, São Paulo, 05403-900, Brazil
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Central Study Contacts
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- NON RANDOMIZED
- Masking
- SINGLE
- Who Masked
- OUTCOMES ASSESSOR
- Masking Details
- ECG Reader: The ECG reader will analyze the ECGs without access to identifiable participant information, ensuring that the interpretation of data is done blindly, without bias related to the patient's identity. AI Model Developer: The developer will also work with anonymized data, meaning they will not have access to personal information of the participants, ensuring the integrity and confidentiality of the data during model development.
- Purpose
- HEALTH SERVICES RESEARCH
- Intervention Model
- PARALLEL
- Sponsor Type
- OTHER
- Responsible Party
- PRINCIPAL INVESTIGATOR
- PI Title
- Full Professor of Cardiovascular Surgery at the University of São Paulo Medical School (FMUSP) and General Director of InCor-HCFMUSP
Study Record Dates
First Submitted
August 19, 2025
First Posted
September 15, 2025
Study Start
February 7, 2025
Primary Completion
January 31, 2026
Study Completion
February 28, 2026
Last Updated
September 15, 2025
Record last verified: 2025-08
Data Sharing
- IPD Sharing
- Will share
- Shared Documents
- STUDY PROTOCOL, SAP, ICF, CSR
- Time Frame
- Individual participant data (IPD) and supporting documentation will be made available exclusively to the study sponsor following the completion of the clinical study. There is no defined end date, as the sponsor will assume full custodianship of the data upon transfer. No public sharing of the data is planned.
- Access Criteria
- Access to IPD and supporting information will be restricted to the study sponsor, in accordance with contractual agreements and applicable data protection regulations. The sponsor will have full authority over data access, management, and potential secondary use.
Participant monitoring will be conducted by the multidisciplinary team via the SI³ platform, allowing near real-time detection of clinical events and prompt intervention. After study completion, all data will be anonymized and analyzed by the InCor team. De-identified datasets may be shared with the sponsor and affiliated entities. No personally identifiable information will be disclosed. All data sharing will comply with ethical and legal data protection standards.