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| Name | Class |
|---|---|
| Samsung Eletrônica da Amazônia Ltda | UNKNOWN |
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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.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Pilot Group | Experimental | Healthy 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. |
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| Extensive Ambulatory Monitoring Group | Active Comparator | Patients 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. |
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| Extensive Post-Intervention Monitoring | Active Comparator | Patients 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. |
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| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Smartwatch - all data | Device | Single-lead ECG, blood pressure (BP), oxygen saturation (SpO2), and continuous heart rate (HR). |
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| Measure | Description | Time Frame |
|---|---|---|
| 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) |
| Measure | Description | Time Frame |
|---|---|---|
| Patient risk classification generated by the AI model | Distribution of patients across AI-generated risk categories adapted from the Manchester Triage System. The algorithm will classify patients into risk levels (e.g., immediate, very urgent, urgent, standard, non-urgent) based on physiological and biometric data collected from the smartwatch and portable Holter system during the monitoring period. |
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Inclusion Criteria:
Exclusion Criteria:
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| Name | Role | Phone | Extension | |
|---|---|---|---|---|
| Fabio B Jatene, PhD, MD | Contact | +551126615462 | fabio.jatene@incor.usp.br | |
| Rosangela Monteiro, PhD | Contact | +551126615197 | rosangela.monteiro@incor.usp.br |
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| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Instituto do Coracao, HCFMUSP | Recruiting | São Paulo | São Paulo | 05403-900 | Brazil |
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.
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 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.
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| Type | Includes Protocol | Includes SAP | Includes ICF | Document Label | Document Date | Document Uploaded Date | Document File Name |
|---|---|---|---|---|---|---|---|
| Prot_SAP | Yes | Yes | No | Study Protocol and Statistical Analysis Plan | Mar 25, 2025 |
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FAPO-2 adopts a prospective, single-group interventional study model in which all participants are remotely monitored using both the smartwatch and a portable holter system. The intervention consists of a structured teleconsultation model triggered by predefined clinical thresholds and critical patterns identified through continuous data integration on the FAPO-SI³ platform. Physiological and biometric data are collected viaHealth applications and transmitted daily (D+1) to the clinical team for near-real-time review. Upon detection of critical events or out-of-range parameters, the system automatically generates alerts that prompt nurse- or physician-led teleconsultations. During these teleconsultations, patient symptoms are evaluated, medication regimens may be adjusted, and decisions are made regarding the need for in-person clinical evaluation.
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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.
| Optimized Outpatient Monitoring |
| Active Comparator |
Patients 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. |
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| Portable holter system | Device | continuous ECG monitoring for 14 days for comparison with the data from the smartwatch |
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| Telemonitoring | Procedure | Remote consultations triggered by critical alerts based on predefined thresholds. |
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| AI Model Development | Other | Data analysis using artificial intelligence for prioritization of patients based on health data collected from wearables. |
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| Smartwatch - ECG and HR | Device | Single-lead ECG and continuous heart rate (HR) |
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| During the monitoring period for each group, as specified (14-45 days depending on group) |
| Adverse events related to device use | Incidence of device-related adverse events including skin lesions (MARSI), allergic reactions, and discomfort (graded using validated scales) reported during the monitoring period. | From enrollment through the monitoring period, up to 45 days depending on study group |
| Aug 29, 2025 |
| Prot_SAP_000.pdf |
| ICF | No | No | Yes | Informed Consent Form | Mar 25, 2025 | Sep 8, 2025 | ICF_001.pdf |
| ID | Term |
|---|---|
| D006331 | Heart Diseases |
| D001281 | Atrial Fibrillation |
| D000789 | Angina, Unstable |
| D001145 | Arrhythmias, Cardiac |
| ID | Term |
|---|---|
| D002318 | Cardiovascular Diseases |
| D010335 | Pathologic Processes |
| D013568 | Pathological Conditions, Signs and Symptoms |
| D000787 | Angina Pectoris |
| D017202 | Myocardial Ischemia |
| D014652 | Vascular Diseases |
| D002637 | Chest Pain |
| D010146 | Pain |
| D009461 | Neurologic Manifestations |
| D012816 | Signs and Symptoms |
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