Cardiovascular DiseasesNCT04437914
Accuracy of Cardiac Arrhythmias and Conduction Disorders Diagnosis Using a Smartwatch
An observational study of Cardiovascular Diseases and Cardiac Arrhythmia, run by Federal University of Piaui at 1 site in Brazil.
Trial summary
Implantable devices increase the detection of silent atrial fibrillation in high-risk populations, being a useful tool in the early diagnosis of these patients, allowing monitoring for a longer time. Read more about this study
- Who is it for?
- Ages 18 years and older
- Conditions the study is for
- Cardiovascular Diseases, Cardiac Arrhythmia, Conduction Disturbance
- What is being tested?
- Electrocardiogram diagnosis
- How many people
- 110 participants
- Where
- 1 siteBrazil
- Study dates
- 7 Jun 2021to 30 Jun 2025
- How long will I take part?
- 6 Months
- Phase
- Observational
- Are there results?
- None posted in the registry
Key requirements
Who can take part, as listed by the sponsor. Only the study team can confirm whether you are eligible, so take this list to your doctor.
- Ages 18 years and older
- All sexes
- No healthy volunteers
- Adult, Older adult
Study population: Patients followed up in the cardiology sector, hospitalized or outpatient, with the presence of the inclusion criteria and without exclusion criteria. The sample size was calculated using MedCalc Statistical Software version 19.2.3 (MedCalc Software Ltd, Ostend, Belgium). For the sample calculation, the following parameters were considered: significance level of 95%, test power of 80%, value of the disease diagnosis rate of 84%, area under the ROC curve of 94% and equal proportion of number of positive and negative cases. The minimum sample size consisted of 100 patients, and an additional 10% will be added to compensate for possible losses. A total of 110 patients will be invited to participate in the study.
Who may be able to join
- Age ≥ 18 years;
- Presence of one or more of the following diagnoses: systemic arterial hypertension, heart failure, valve disease, coronary atherosclerotic disease, myocardial infarction, endocarditis, myocarditis, diabetes, cardiac arrhythmias and patients with cardiac pacemakers or implantable automatic defibrillators.
Who cannot join
- Patients who have electrocardiographic tracings, whether obtained from the watch or the conventional method, of poor quality that make it impossible or that makes the diagnosis difficult due to the technical aspect of the performance.
- Withdrawal of the consent form at the request of the patient or guardian.
Trial locations and contacts
1 site in 1 country.
Brazil1 site, 1 recruiting
- Recruiting
Carlos Eduardo B. de Lima
Teresina, Piauí, 64048-350
Carlos Eduardo B de Lima, MD, PhD, 86981805000, carlos.lima@ufpi.edu.br
Amanda Sousa, 86994615203, admin@cardiolima.com.br
About this study
Official title: Accuracy of Cardiac Arrhythmias and Conduction Disorders Diagnosis Using Smartwatch in Comparison to Conventional Electrocardiogram in Patients With Cardiovascular Disease
Implantable devices increase the detection of silent atrial fibrillation in high-risk populations, being a useful tool in the early diagnosis of these patients, allowing monitoring for a longer time. Currently, these devices can be used for monitoring and possible early diagnosis of abnormalities in order to prevent health complications and bring about better outcomes, as well as monitor the user's progress and thus prevent more serious developments. Objective: to analyze, in patients with cardiovascular disease, the electrocardiographic aspects detected from the device in comparison to the conventional electrocardiogram, identifying aspects of similarity between the tracings obtained and automatic diagnostic accuracy by the device and by the visual assessment of the tracing. Method: a cross-sectional observational study of diagnostic accuracy will be carried out at the University Hospital of the Federal University of Piaui. The following parameters were considered: significance level of 95%, test power of 80%, value of the disease diagnosis rate of 84%, area under the receiver operating characteristic curve of 94% and an equal proportion of the number of positive and negative cases. The minimum sample size consisted of 100 patients, and an additional 10% will be added to compensate for possible losses. A total of 110 patients will be invited to participate in the study. Patients aged ≥ 18 years will be included, with the presence of one or more diagnoses below: systemic arterial hypertension, heart failure, valvular disease, coronary atherosclerotic disease, myocardial infarction, endocarditis, myocarditis, diabetes, cardiac arrhythmias and patients with cardiac pace or implantable automatic defibrillator. The variables analyzed will be: clinical-demographic data of the patients, including age, sex, race, socioeconomic profile; comorbidities and electrocardiographic findings as measured by the clock and conventional ECG. The data will be analyzed comparatively between the groups: 1 = EKG on the clock; 2 = 12-lead conventional EKG and DI (single lead). The primary outcome will be the positive diagnostic correlation of the data obtained in group 1 in relation to group 2. Secondary outcomes: successful measurement of the electrocardiographic record by the clock; diagnostic accuracy of atrial fibrillation and other heart rhythm disorders.
Read the detailed description
The main objective of this study is to analyze, in patients with cardiovascular disease, the electrocardiographic aspects detected from the smartwatch device in comparison to the conventional electrocardiogram, identifying aspects of similarity between the tracings obtained and automatic diagnostic accuracy by the device and by visual assessment. of the layout. The secondary objectives will be to evaluate in the same population: aspects of practicality for the use of smart watches in clinical practice in cardiology; the success rate in obtaining the electrocardiographic tracing with adequate quality by the smart watch and describe the types of failure and assess the clinical characteristics related to the failure in obtaining the electrocardiographic tracing by the smart watch. Method: An observational, transversal, study of diagnostic accuracy will be carried out at the University Hospital of the Federal University of Piaui.
The sample size was calculated using MedCalc Statistical Software version 19.2.3 (MedCalc Software Ltd, Ostend, Belgium). For the sample calculation, the following parameters were considered: significance level of 95%, test power of 80%, value of the disease diagnosis rate of 84%, area under the receiver operating characteristic curve of 94% and equal proportion of number of positive and negative cases. The minimum sample size consisted of 100 patients, and an additional 10% will be added to compensate for possible losses. A total of 110 patients will be invited to participate in the study. Inclusion criteria: • Age ≥ 18 years;
- Patients followed up in the cardiology sector, hospitalized or outpatient, with the presence of one or more of the following diagnoses: systemic arterial hypertension, heart failure, valve disease, coronary atherosclerotic disease, myocardial infarction, endocarditis, myocarditis, diabetes, cardiac arrhythmias and patients with cardiac pacemakers or implantable automatic defibrillators. Exclusion criteria: • Patients who have electrocardiographic tracings, whether obtained from the watch or the conventional method, of poor quality that make it impossible or that makes the diagnosis difficult due to the technical aspect of the performance. • Withdrawal of the consent form at the request of the patient or guardian. Primary outcome: • Positive diagnostic correlation of the data obtained in group 1 (clock) in relation to group 2 (conventional ECG 12 leads and DI - single lead). Secondary outcome: • Successful verification of the electrocardiographic record by the watch; • Diagnostic accuracy of atrial fibrillation; • Diagnostic accuracy of heart rhythm disorders, excluding atrial fibrillation. Ethical aspects: All patients will be informed about the principles and objectives of the protocol before inclusion in the study and will be given explanations of potential advantages or disadvantages. All procedures involved in this study will be in accordance with the Helsinki Declaration of 1975, updated in 2013. The study will follow the principles of good clinical practice and the terms of Resolution No. 466/12 of December 12, 2012 of the National Health Council Ministry of Health. All patients or legal guardians will sign the informed consent form in writing before selection. Patients will be guaranteed that early withdrawal from the study will always be possible, without any consequence or impairment in their subsequent medical care. Data will be collected only after approval by the ethics and research committee. Those who do not sign the Informed Consent will not be included. Data collect The variables analyzed will be: clinical-demographic data of the patients, including age, sex, race, socioeconomic profile; comorbidities and electrocardiographic findings as measured by the clock and conventional ECG. The data will be analyzed comparatively between the groups: 1 = ECG on the clock; 2 = 12-lead conventional ECG and DI (single lead).
Electrocardiographic recording devices The smart watch used will be the Apple Watch series 4, from Apple Inc. (Specifications: Sensor I, 511 Hz, mobile operating system 13.1.3, operating system 6.0.1, Watch 4.2). For the recording of the conventional electrocardiogram, a mobile device will be used that allows the recording of 12 simultaneous leads and the rhythm tracing of the DI lead.
Criteria for electrocardiographic diagnosis The criteria for electrocardiographic diagnosis of morphological aspects, intervals and conclusive report will be based on the guideline of the Brazilian Society of Cardiology on the analysis and issuance of electrocardiographic reports.
For the analysis of similarity between the traces obtained by the clock and the conventional ECG, the parameters of regularity of the RR cycle beat by beat, heart rate in beats per minute, amplitude and duration of the p wave, QRS and T wave will be evaluated, in addition to the PR and QT corrected intervals. The unit in milliseconds will be used for the duration and millimeters for the amplitude. To obtain the automatic electrocardiographic diagnosis of the clock, two ECG tracings of 30 seconds will be obtained, in a calm environment, with the patient at rest, in the horizontal supine position.
The device will be attached to the wrist on the left side with the use of the fingers of the right hand on the sensor button of the watch to complete the electrocardiographic DI derivation following the Einthoven triangle derivation criteria. The automatic diagnosis obtained must be the same in both plots to be validated. A third trace will be performed if the automatic diagnosis of the second trace is different from the first analysis. If there is a new divergence in the automatic diagnosis of the clock's third ECG trace in relation to the two previously obtained traces, the diagnosis will be considered inconclusive. The specific results of the automatic diagnosis obtained by the watch will be: low beats with FC≤40 beats per minute (bpm); high beats with HR≥120bpm; sinus rhythm when interpreted as normal by the clock, atrial fibrillation, inconclusive and does not allow analysis due to poor technical quality and did not allow tracing. The conventional ECG tracing will be obtained in the 12 leads of the frontal plane (DI, DII, DIII, aVR, AVL, AVF) and the horizontal plane (V1 to V6) and a 30-second rhythm trace in the DI lead. The diagnostic results of conventional ECG tracings will be: normal or abnormal; sinus rhythm, AF, atrial flutter or other non-sinus rhythm; intraventricular conduction disorder: left bundle branch block (BRE), right bundle branch block (BRD), right posteroinferior lower block (BDPI or left anterior superior (BDAS), isolated or associated; normal electrical axis, shifted to the right or shifted to the right) left, inconclusive and does not allow analysis due to poor technical quality. The electrocardiographic tracings will be analyzed blindly by two independent cardiologists with a cardiology degree from Brazilian Medical Association and Brazilian Society of Cardiology and not participating in the research data collection stage. Statistical analysis: The two independent cardiologists will be evaluated for calibration using the Kappa method of agreement. If there is disagreement regarding the diagnosis of the two cardiologists, the divergent path in question will be evaluated by the main researcher of the research. The normal distribution of variables will be verified using the Shapiro-Wilk test, where continuous variables with normal distribution will be expressed as means and standard deviation (SD) using the chi-square test for comparison between groups. Variables with non-Gaussian distribution will be expressed as medians and interquartile ranges using Mann-Whitney tests for comparison between groups. For statistical significance, p <0.05 and 95% confidence interval will be considered. The analyzes will be performed using the Statistical Package for the Social Sciences (SPSS®, version 22.0 for Windows®).
- Being tested
- Electrocardiogram diagnosis
- Keywords
- Artificial Intelligence, Cardiac Arrhythmia, Smartwatch, Cardiac Conduction System Disturbance
- Medical subject headings
- Cardiovascular Diseases, Arrhythmias, Cardiac
What participants receive
What participants receive. In a randomised study each person is assigned to one group by chance.
Electrocardiogram diagnosisDiagnostic test
Electrocardiographic diagnosis will be made in a double-blind manner by two specialists in cardiology and cardiac arrhythmias and the results will be compared between the groups studied.
| Study group | Role | What they receive |
|---|---|---|
| Group 1 - Smartwatch - single lead (D1) | To obtain the automatic electrocardiographic diagnosis of the clock, two ECG tracings of 30 seconds will be obtained, in a calm environment, with the patient at rest, in the horizontal supine position. The device will be attached to the wrist on the left side with the use of the fingers of the right hand on the sensor button of the watch to complete the electrocardiographic DI derivation following the Einthoven triangle derivation criteria. The automatic diagnosis obtained must be the same in both plots to be validated. The specific results of the automatic diagnosis obtained by the watch will be: low beats with FC≤40 beats per minute (bpm); high beats with HR≥120bpm; sinus rhythm when interpreted as normal by the clock, atrial fibrillation, inconclusive and does not allow analysis due to poor technical quality and did not allow tracing. Receives: Diagnostic Test: Electrocardiogram diagnosis | |
| Group 2 - conventional ECG | The conventional ECG tracing will be obtained in the 12 leads of the frontal plane (DI, DII, DIII, aVR, AVL, AVF) and the horizontal plane (V1 to V6) and a 30-second rhythm trace in the DI lead. The diagnostic results of conventional ECG tracings will be: normal or abnormal; sinus rhythm, AF, atrial flutter or other non-sinus rhythm; intraventricular conduction disorder: left bundle branch block (BRE), right bundle branch block (BRD), right posteroinferior lower block (BDPI or left anterior superior (BDAS), isolated or associated; normal electrical axis, shifted to the right or shifted to the right) left, inconclusive and does not allow analysis due to poor technical quality. |
What is being measured
The primary outcome is the main question the study is designed to answer.
Positive diagnostic correlation
Positive diagnostic correlation of the data obtained in group 1 (clock) in relation to group 2 (conventional ECG 12 leads and DI - single lead).
Measured: 30 days
Secondary outcomes (2)
Diagnostic accuracy 1
Diagnostic accuracy of atrial fibrillation;
Measured: 30 days
Diagnostic accuracy 2
Diagnostic accuracy of heart rhythm disorders, excluding atrial fibrillation.
Measured: 30 days
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted18 Jun 2020
- Study start7 Jun 2021
- Primary completion30 Aug 2024
- Study completion30 Jun 2025 (estimated)
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Publications (1)Papers the sponsor has linked to this study.
- Other trials for Cardiovascular DiseasesStudies of the same condition, open and under way.
- What the trial phases meanHow a treatment moves from first tests in people to approval.
More details
For doctors and researchers: how the study is designed, who runs it, and its registry IDs.
Study design
- Study type
- Observational
- Observational model
- Cohort
- Time perspective
- Cross-sectional
- Enrolment
- 110 participants (estimated)
- Target duration
- 6 Months
Sponsor and investigators
- Lead sponsor
- Federal University of Piaui
- Sponsor type
- University, hospital or other
- Responsible party
- Principal investigator, Carlos Eduardo Batista de Lima, MD, PhD, Federal University of Piaui
- Investigators
- Carlos Eduardo B de Lima, MD, PhD, Principal investigator, Federal University of Piaui
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT04437914
- Sponsor's protocol ID
- FUPiaui
- Status last verified
- Sep 2024
- First submitted
- 16 Jun 2020
- Last updated
- 25 Sep 2024
- Results posted
- No
- Data monitoring committee
- Yes
- FDA-regulated drug
- No
- FDA-regulated device
- No
- Individual data sharing
- No: I have no plan to share individual patient data with other researchers.
Publications
Lima C, Martinelli M, Peixoto GL, Siqueira SF, Wajngarten M, Silva RT, Costa R, Filho R, Ramires JA. Silent Atrial Fibrillation in Elderly Pacemaker Users: A Randomized Trial Using Home Monitoring. Ann Noninvasive Electrocardiol. 2016 May;21(3):246-55. doi: 10.1111/anec.12294. Epub 2015 Sep 28.
PubMed 26413928
Study at a glance
From the registry record, last updated by the sponsor on 25 Sep 2024. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- Accuracy of Cardiac Arrhythmias and Conduction Disorders Diagnosis Using Smartwatch in Comparison to Conventional Electrocardiogram in Patients With Cardiovascular Disease
- ClinicalTrials.gov ID
- NCT04437914
- Acronym / sponsor ID
- FUPiaui
- Keywords
- Artificial Intelligence, Cardiac Arrhythmia, Smartwatch, Cardiac Conduction System Disturbance
- Study type
- Observational
- Recruitment status
- Unknown status
- Enrolment
- 110 participants (estimated)
- Lead sponsor
- Federal University of PiauiUniversity, hospital or other
- Study start
- 7 Jun 2021 (actual)
- Primary completion
- 30 Aug 2024 (actual)
- Study completion
- 30 Jun 2025 (estimated)
- First posted
- 18 Jun 2020 (actual)
- Results
- Not posted in the source record
Clinical summary
The research question as the sponsor registered it. This describes what the study plans to test, not what it found.
Implantable devices increase the detection of silent atrial fibrillation in high-risk populations, being a useful tool in the early diagnosis of these patients, allowing monitoring for a longer time. Currently, these devices can be used for monitoring and possible early diagnosis of abnormalities in order to prevent health complications and bring about better outcomes, as well as monitor the user's progress and thus prevent more serious developments. Objective: to analyze, in patients with cardiovascular disease, the electrocardiographic aspects detected from the device in comparison to the conventional electrocardiogram, identifying aspects of similarity between the tracings obtained and automatic diagnostic accuracy by the device and by the visual assessment of the tracing. Method: a cross-sectional observational study of diagnostic accuracy will be carried out at the University Hospital of the Federal University of Piaui. The following parameters were considered: significance level of 95%, test power of 80%, value of the disease diagnosis rate of 84%, area under the receiver operating characteristic curve of 94% and an equal proportion of the number of positive and negative cases. The minimum sample size consisted of 100 patients, and an additional 10% will be added to compensate for possible losses. A total of 110 patients will be invited to participate in the study. Patients aged ≥ 18 years will be included, with the presence of one or more diagnoses below: systemic arterial hypertension, heart failure, valvular disease, coronary atherosclerotic disease, myocardial infarction, endocarditis, myocarditis, diabetes, cardiac arrhythmias and patients with cardiac pace or implantable automatic defibrillator. The variables analyzed will be: clinical-demographic data of the patients, including age, sex, race, socioeconomic profile; comorbidities and electrocardiographic findings as measured by the clock and conventional ECG. The data will be analyzed comparatively between the groups: 1 = EKG on the clock; 2 = 12-lead conventional EKG and DI (single lead). The primary outcome will be the positive diagnostic correlation of the data obtained in group 1 in relation to group 2. Secondary outcomes: successful measurement of the electrocardiographic record by the clock; diagnostic accuracy of atrial fibrillation and other heart rhythm disorders.
Detailed description
The main objective of this study is to analyze, in patients with cardiovascular disease, the electrocardiographic aspects detected from the smartwatch device in comparison to the conventional electrocardiogram, identifying aspects of similarity between the tracings obtained and automatic diagnostic accuracy by the device and by visual assessment. of the layout. The secondary objectives will be to evaluate in the same population: aspects of practicality for the use of smart watches in clinical practice in cardiology; the success rate in obtaining the electrocardiographic tracing with adequate quality by the smart watch and describe the types of failure and assess the clinical characteristics related to the failure in obtaining the electrocardiographic tracing by the smart watch. Method: An observational, transversal, study of diagnostic accuracy will be carried out at the University Hospital of the Federal University of Piaui.
The sample size was calculated using MedCalc Statistical Software version 19.2.3 (MedCalc Software Ltd, Ostend, Belgium). For the sample calculation, the following parameters were considered: significance level of 95%, test power of 80%, value of the disease diagnosis rate of 84%, area under the receiver operating characteristic curve of 94% and equal proportion of number of positive and negative cases. The minimum sample size consisted of 100 patients, and an additional 10% will be added to compensate for possible losses. A total of 110 patients will be invited to participate in the study. Inclusion criteria: • Age ≥ 18 years;
- Patients followed up in the cardiology sector, hospitalized or outpatient, with the presence of one or more of the following diagnoses: systemic arterial hypertension, heart failure, valve disease, coronary atherosclerotic disease, myocardial infarction, endocarditis, myocarditis, diabetes, cardiac arrhythmias and patients with cardiac pacemakers or implantable automatic defibrillators. Exclusion criteria: • Patients who have electrocardiographic tracings, whether obtained from the watch or the conventional method, of poor quality that make it impossible or that makes the diagnosis difficult due to the technical aspect of the performance. • Withdrawal of the consent form at the request of the patient or guardian. Primary outcome: • Positive diagnostic correlation of the data obtained in group 1 (clock) in relation to group 2 (conventional ECG 12 leads and DI - single lead). Secondary outcome: • Successful verification of the electrocardiographic record by the watch; • Diagnostic accuracy of atrial fibrillation; • Diagnostic accuracy of heart rhythm disorders, excluding atrial fibrillation. Ethical aspects: All patients will be informed about the principles and objectives of the protocol before inclusion in the study and will be given explanations of potential advantages or disadvantages. All procedures involved in this study will be in accordance with the Helsinki Declaration of 1975, updated in 2013. The study will follow the principles of good clinical practice and the terms of Resolution No. 466/12 of December 12, 2012 of the National Health Council Ministry of Health. All patients or legal guardians will sign the informed consent form in writing before selection. Patients will be guaranteed that early withdrawal from the study will always be possible, without any consequence or impairment in their subsequent medical care. Data will be collected only after approval by the ethics and research committee. Those who do not sign the Informed Consent will not be included. Data collect The variables analyzed will be: clinical-demographic data of the patients, including age, sex, race, socioeconomic profile; comorbidities and electrocardiographic findings as measured by the clock and conventional ECG. The data will be analyzed comparatively between the groups: 1 = ECG on the clock; 2 = 12-lead conventional ECG and DI (single lead).
Electrocardiographic recording devices The smart watch used will be the Apple Watch series 4, from Apple Inc. (Specifications: Sensor I, 511 Hz, mobile operating system 13.1.3, operating system 6.0.1, Watch 4.2). For the recording of the conventional electrocardiogram, a mobile device will be used that allows the recording of 12 simultaneous leads and the rhythm tracing of the DI lead.
Criteria for electrocardiographic diagnosis The criteria for electrocardiographic diagnosis of morphological aspects, intervals and conclusive report will be based on the guideline of the Brazilian Society of Cardiology on the analysis and issuance of electrocardiographic reports.
For the analysis of similarity between the traces obtained by the clock and the conventional ECG, the parameters of regularity of the RR cycle beat by beat, heart rate in beats per minute, amplitude and duration of the p wave, QRS and T wave will be evaluated, in addition to the PR and QT corrected intervals. The unit in milliseconds will be used for the duration and millimeters for the amplitude. To obtain the automatic electrocardiographic diagnosis of the clock, two ECG tracings of 30 seconds will be obtained, in a calm environment, with the patient at rest, in the horizontal supine position.
The device will be attached to the wrist on the left side with the use of the fingers of the right hand on the sensor button of the watch to complete the electrocardiographic DI derivation following the Einthoven triangle derivation criteria. The automatic diagnosis obtained must be the same in both plots to be validated. A third trace will be performed if the automatic diagnosis of the second trace is different from the first analysis. If there is a new divergence in the automatic diagnosis of the clock's third ECG trace in relation to the two previously obtained traces, the diagnosis will be considered inconclusive. The specific results of the automatic diagnosis obtained by the watch will be: low beats with FC≤40 beats per minute (bpm); high beats with HR≥120bpm; sinus rhythm when interpreted as normal by the clock, atrial fibrillation, inconclusive and does not allow analysis due to poor technical quality and did not allow tracing. The conventional ECG tracing will be obtained in the 12 leads of the frontal plane (DI, DII, DIII, aVR, AVL, AVF) and the horizontal plane (V1 to V6) and a 30-second rhythm trace in the DI lead. The diagnostic results of conventional ECG tracings will be: normal or abnormal; sinus rhythm, AF, atrial flutter or other non-sinus rhythm; intraventricular conduction disorder: left bundle branch block (BRE), right bundle branch block (BRD), right posteroinferior lower block (BDPI or left anterior superior (BDAS), isolated or associated; normal electrical axis, shifted to the right or shifted to the right) left, inconclusive and does not allow analysis due to poor technical quality. The electrocardiographic tracings will be analyzed blindly by two independent cardiologists with a cardiology degree from Brazilian Medical Association and Brazilian Society of Cardiology and not participating in the research data collection stage. Statistical analysis: The two independent cardiologists will be evaluated for calibration using the Kappa method of agreement. If there is disagreement regarding the diagnosis of the two cardiologists, the divergent path in question will be evaluated by the main researcher of the research. The normal distribution of variables will be verified using the Shapiro-Wilk test, where continuous variables with normal distribution will be expressed as means and standard deviation (SD) using the chi-square test for comparison between groups. Variables with non-Gaussian distribution will be expressed as medians and interquartile ranges using Mann-Whitney tests for comparison between groups. For statistical significance, p <0.05 and 95% confidence interval will be considered. The analyzes will be performed using the Statistical Package for the Social Sciences (SPSS®, version 22.0 for Windows®).
Study design
- Observational model
- Cohort
- Time perspective
- Cross-sectional
- Target follow-up
- 6 Months
- Number of arms
- 2
| Arm | Type | Receives |
|---|---|---|
| Group 1 - Smartwatch - single lead (D1) | – | Diagnostic Test: Electrocardiogram diagnosisTo obtain the automatic electrocardiographic diagnosis of the clock, two ECG tracings of 30 seconds will be obtained, in a calm environment, with the patient at rest, in the horizontal supine position. The device will be attached to the wrist on the left side with the use of the fingers of the right hand on the sensor button of the watch to complete the electrocardiographic DI derivation following the Einthoven triangle derivation criteria. The automatic diagnosis obtained must be the same in both plots to be validated. The specific results of the automatic diagnosis obtained by the watch will be: low beats with FC≤40 beats per minute (bpm); high beats with HR≥120bpm; sinus rhythm when interpreted as normal by the clock, atrial fibrillation, inconclusive and does not allow analysis due to poor technical quality and did not allow tracing. |
| Group 2 - conventional ECG | – | –The conventional ECG tracing will be obtained in the 12 leads of the frontal plane (DI, DII, DIII, aVR, AVL, AVF) and the horizontal plane (V1 to V6) and a 30-second rhythm trace in the DI lead. The diagnostic results of conventional ECG tracings will be: normal or abnormal; sinus rhythm, AF, atrial flutter or other non-sinus rhythm; intraventricular conduction disorder: left bundle branch block (BRE), right bundle branch block (BRD), right posteroinferior lower block (BDPI or left anterior superior (BDAS), isolated or associated; normal electrical axis, shifted to the right or shifted to the right) left, inconclusive and does not allow analysis due to poor technical quality. |
Who may qualify
- Ages
- 18 years and older
- Sex
- All
- Healthy volunteers
- Not accepted
- Age groups
- Adult, Older adult
- Study population
- Patients followed up in the cardiology sector, hospitalized or outpatient, with the presence of the inclusion criteria and without exclusion criteria. The sample size was calculated using MedCalc Statistical Software version 19.2.3 (MedCalc Software Ltd, Ostend, Belgium). For the sample calculation, the following parameters were considered: significance level of 95%, test power of 80%, value of the disease diagnosis rate of 84%, area under the ROC curve of 94% and equal proportion of number of positive and negative cases. The minimum sample size consisted of 100 patients, and an additional 10% will be added to compensate for possible losses. A total of 110 patients will be invited to participate in the study.
Key inclusion criteria (2 listed)
- Age ≥ 18 years;
- Presence of one or more of the following diagnoses: systemic arterial hypertension, heart failure, valve disease, coronary atherosclerotic disease, myocardial infarction, endocarditis, myocarditis, diabetes, cardiac arrhythmias and patients with cardiac pacemakers or implantable automatic defibrillators.
Key exclusion criteria (2 listed)
- Patients who have electrocardiographic tracings, whether obtained from the watch or the conventional method, of poor quality that make it impossible or that makes the diagnosis difficult due to the technical aspect of the performance.
- Withdrawal of the consent form at the request of the patient or guardian.
Eligibility is decided by the study team after screening; this overview does not establish that a patient qualifies. Full inclusion and exclusion criteria.
Interventions
| Intervention | Type | Arms |
|---|---|---|
| Electrocardiogram diagnosisElectrocardiographic diagnosis will be made in a double-blind manner by two specialists in cardiology and cardiac arrhythmias and the results will be compared between the groups studied. | Diagnostic test | Group 1 - Smartwatch - single lead (D1) |
Primary outcome
Positive diagnostic correlation
Time frame: 30 days
Positive diagnostic correlation of the data obtained in group 1 (clock) in relation to group 2 (conventional ECG 12 leads and DI - single lead).
2 secondary outcomes
Diagnostic accuracy 1
Time frame: 30 days
Diagnostic accuracy 2
Time frame: 30 days
Results and safety
Results are not available in the source record.
Research links
- Official record on ClinicalTrials.govLast updated by the sponsor 25 Sep 2024.
- Results publication: PubMed 26413928Lima C, Martinelli M, Peixoto GL, Siqueira SF, Wajngarten M, Silva RT, Costa R, Filho R, Ramires JA. Silent Atrial Fibrillation in Elderly Pacemaker Users: A Randomized Trial Using Home Monitoring. Ann Noninvasive Electrocardiol. 2016 May;21(3):246-55. doi: 10.1111/anec.12294. Epub 2015 Sep 28.
- Individual participant dataSharing planned: No. I have no plan to share individual patient data with other researchers.
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Referral and contact
AzTrials does not enrol participants or take referrals. Contact the study team or a site listed below; they decide who can take part. This study is not recruiting at the moment.
Carlos Eduardo B de Lima, MD, PhD principal investigator
Federal University of Piaui
1 site in 1 country: see every site and its status.
Questions about this trial
What is this clinical trial studying?
An observational study of Cardiovascular Diseases and Cardiac Arrhythmia, run by Federal University of Piaui at 1 site in Brazil.
The full registered description is in the About this study section and the official record.
Who may be eligible to take part?
The sponsor lists 2 inclusion and 2 exclusion criteria. Eligibility is decided by the study team after screening, so read the full criteria and contact a listed site.
Is this clinical trial currently recruiting?
The record says: status not confirmed, as of the sponsor's last update on 25 Sep 2024. Status can change between updates, so confirm with the study contact before making plans.
Where is the study taking place?
The record lists 1 site in Brazil. Whether a site is taking part right now should be confirmed with that site. See every site.
What are the possible benefits and risks?
They depend on the study and the treatment, and no study can promise a benefit. The study team explains the known risks during informed consent, before anyone joins; the record itself does not list them.
Are results available for this study?
Results are not available in the source record.
How can a doctor refer a patient or contact the research team?
Contact Carlos Eduardo B. Lima, MD, PhD (+5586981805000, carlos.lima@ufpi.edu.br), or a site near the patient. AzTrials does not enrol participants or take referrals.
What does the primary outcome measure?
Positive diagnostic correlation (time frame: 30 days). It is what the study was designed to measure, not a finding.
Where can I read the original study information?
On the ClinicalTrials.gov record for NCT04437914, which also lists 1 linked publication.
Does a listing mean the treatment is approved or proven to work?
No. A listing means the study is registered. It does not show that the treatment is safe, works, or is approved by a regulator.
How often is this information updated?
AzTrials copies changed records from ClinicalTrials.gov every night and reloads the whole registry every week. The sponsor last updated this record on 25 Sep 2024.