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Feasibility and performance of a device for automatic self-detection of symptomatic acute coronary artery occlusion in outpatients with coronary artery disease: a multicentre observational study

(2019) LANCET DIGITAL HEALTH. 1(2). p.E90-E99
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Abstract
Background Time delay between onset of symptoms and seeking medical attention is a major determinant of mortality and morbidity in patients with acute coronary artery occlusion. Response time might be reduced by reliable self-detection. We aimed to formally assess the proof-of-concept and accuracy of self-detection of acute coronary artery occlusion by patients during daily life situations and during the very early stages of acute coronary artery occlusion. Methods In this multicentre, observational study, we tested the operational feasibility, specificity, and sensitivity of our RELF method, a three-lead detection system with an automatic algorithm built into a mobile handheld device, for detection of acute coronary artery occlusion. Patients were recruited continuously by physician referrals from three Belgian hospitals until the desired sample size was achieved, had been discharged with planned elective percutaneous coronary intervention, and were able to use a smartphone; they were asked to perform random ambulatory selfrecordings for at least 1 week. A similar self-recording was made before percutaneous coronary intervention and at 60 s of balloon occlusion. Patients were clinically followed up until 1 month after discharge. We quantitatively assessed the operational feasibility with an automated dichotomous quality check of self-recordings. Performance was assessed by analysing the receiver operator characteristics of the ST difference vector magnitude. This trial is registered with ClinicalTrials.gov, number NCT02983396. Findings From Nov 18, 2016, to April 25, 2018, we enrolled 64 patients into the study, of whom 59 (92%) were eligible for self-applications. 58 (91%) of 64 (95% CI 81.0-95.6) patients were able to perform ambulatory self-recordings. Of all 5011 self-recordings, 4567 (91%) were automatically classified as successful within 1 min. In 65 balloon occlusions, 63 index tests at 60 s of occlusion in 55 patients were available. The mean specificity of daily life recordings was 0.96 (0.95-0.97). The mean false positive rate during daily life conditions was 4.19% (95% CI 3.29-5.10). The sensitivity for the target conditions was 0.87 (55 of 63; 95% CI 0.77-0.93) for acute coronary artery occlusion, 0.95 (54 of 57; 0.86-0.98) for acute coronary artery occlusion with electrocardiogram (ECG) changes, and 1.00 (35 of 35) for acute coronary artery occlusion with ECG changes and ST-segment elevation myocardial infarction criteria (STEMI). The index test was more sensitive to detect a 60 s balloon occlusion than the STEMI criteria on 12-lead ECG (87% vs 56%; p<0.0001). The proportion of total variation in study estimates due to heterogeneity between patients (I-2) was low (12.6%). The area under the receiver operator characteristics curve was 0.973 (95% CI 0.956-0.990) for acute coronary artery occlusion at different cutoff values of the magnitude of the ST difference vector. No patients died during the study. Interpretation Self-recording with our RELF device is feasible for most patients with coronary artery disease. The sensitivity and specificity for automatic detection of the earliest phase of acute coronary artery occlusion support the concept of our RELF device for patient empowerment to reduce delay and increase Survival without overloading emergency services. Copyright (C) 2019 The Author(s). Published by Elsevier Ltd.
Keywords
ACUTE MYOCARDIAL-INFARCTION, CHEST-PAIN, SCIENTIFIC STATEMENT, GENERAL-PRACTICE, PRIMARY-CARE, PREVALENCE, RATIONALE, DIAGNOSES, ISCHEMIA, COUNCIL

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MLA
Van Heuverswyn, Frederic, et al. “Feasibility and Performance of a Device for Automatic Self-Detection of Symptomatic Acute Coronary Artery Occlusion in Outpatients with Coronary Artery Disease: A Multicentre Observational Study.” LANCET DIGITAL HEALTH, vol. 1, no. 2, 2019, pp. E90–99.
APA
Van Heuverswyn, F., De Buyzere, M., Coeman, M., De Pooter, J., Drieghe, B., Duytschaever, M., … Gheeraert, P. (2019). Feasibility and performance of a device for automatic self-detection of symptomatic acute coronary artery occlusion in outpatients with coronary artery disease: a multicentre observational study. LANCET DIGITAL HEALTH, 1(2), E90–E99.
Chicago author-date
Van Heuverswyn, Frederic, Marc De Buyzere, Mathieu Coeman, Jan De Pooter, Benny Drieghe, Mattias Duytschaever, Sofie Gevaert, et al. 2019. “Feasibility and Performance of a Device for Automatic Self-Detection of Symptomatic Acute Coronary Artery Occlusion in Outpatients with Coronary Artery Disease: A Multicentre Observational Study.” LANCET DIGITAL HEALTH 1 (2): E90–99.
Chicago author-date (all authors)
Van Heuverswyn, Frederic, Marc De Buyzere, Mathieu Coeman, Jan De Pooter, Benny Drieghe, Mattias Duytschaever, Sofie Gevaert, Peter Kayaert, Yves Vandekerckhove, Joeri Voet, Milad El Haddad, and Peter Gheeraert. 2019. “Feasibility and Performance of a Device for Automatic Self-Detection of Symptomatic Acute Coronary Artery Occlusion in Outpatients with Coronary Artery Disease: A Multicentre Observational Study.” LANCET DIGITAL HEALTH 1 (2): E90–E99.
Vancouver
1.
Van Heuverswyn F, De Buyzere M, Coeman M, De Pooter J, Drieghe B, Duytschaever M, et al. Feasibility and performance of a device for automatic self-detection of symptomatic acute coronary artery occlusion in outpatients with coronary artery disease: a multicentre observational study. LANCET DIGITAL HEALTH. 2019;1(2):E90–9.
IEEE
[1]
F. Van Heuverswyn et al., “Feasibility and performance of a device for automatic self-detection of symptomatic acute coronary artery occlusion in outpatients with coronary artery disease: a multicentre observational study,” LANCET DIGITAL HEALTH, vol. 1, no. 2, pp. E90–E99, 2019.
@article{8623906,
  abstract     = {Background Time delay between onset of symptoms and seeking medical attention is a major determinant of mortality and morbidity in patients with acute coronary artery occlusion. Response time might be reduced by reliable self-detection. We aimed to formally assess the proof-of-concept and accuracy of self-detection of acute coronary artery occlusion by patients during daily life situations and during the very early stages of acute coronary artery occlusion.

Methods In this multicentre, observational study, we tested the operational feasibility, specificity, and sensitivity of our RELF method, a three-lead detection system with an automatic algorithm built into a mobile handheld device, for detection of acute coronary artery occlusion. Patients were recruited continuously by physician referrals from three Belgian hospitals until the desired sample size was achieved, had been discharged with planned elective percutaneous coronary intervention, and were able to use a smartphone; they were asked to perform random ambulatory selfrecordings for at least 1 week. A similar self-recording was made before percutaneous coronary intervention and at 60 s of balloon occlusion. Patients were clinically followed up until 1 month after discharge. We quantitatively assessed the operational feasibility with an automated dichotomous quality check of self-recordings. Performance was assessed by analysing the receiver operator characteristics of the ST difference vector magnitude. This trial is registered with ClinicalTrials.gov, number NCT02983396.

Findings From Nov 18, 2016, to April 25, 2018, we enrolled 64 patients into the study, of whom 59 (92%) were eligible for self-applications. 58 (91%) of 64 (95% CI 81.0-95.6) patients were able to perform ambulatory self-recordings. Of all 5011 self-recordings, 4567 (91%) were automatically classified as successful within 1 min. In 65 balloon occlusions, 63 index tests at 60 s of occlusion in 55 patients were available. The mean specificity of daily life recordings was 0.96 (0.95-0.97). The mean false positive rate during daily life conditions was 4.19% (95% CI 3.29-5.10). The sensitivity for the target conditions was 0.87 (55 of 63; 95% CI 0.77-0.93) for acute coronary artery occlusion, 0.95 (54 of 57; 0.86-0.98) for acute coronary artery occlusion with electrocardiogram (ECG) changes, and 1.00 (35 of 35) for acute coronary artery occlusion with ECG changes and ST-segment elevation myocardial infarction criteria (STEMI). The index test was more sensitive to detect a 60 s balloon occlusion than the STEMI criteria on 12-lead ECG (87% vs 56%; p<0.0001). The proportion of total variation in study estimates due to heterogeneity between patients (I-2) was low (12.6%). The area under the receiver operator characteristics curve was 0.973 (95% CI 0.956-0.990) for acute coronary artery occlusion at different cutoff values of the magnitude of the ST difference vector. No patients died during the study.

Interpretation Self-recording with our RELF device is feasible for most patients with coronary artery disease. The sensitivity and specificity for automatic detection of the earliest phase of acute coronary artery occlusion support the concept of our RELF device for patient empowerment to reduce delay and increase Survival without overloading emergency services. Copyright (C) 2019 The Author(s). Published by Elsevier Ltd.},
  author       = {Van Heuverswyn, Frederic and De Buyzere, Marc and Coeman, Mathieu and De Pooter, Jan and Drieghe, Benny and Duytschaever, Mattias and Gevaert, Sofie and Kayaert, Peter and Vandekerckhove, Yves and Voet, Joeri and El Haddad, Milad and Gheeraert, Peter},
  issn         = {2589-7500},
  journal      = {LANCET DIGITAL HEALTH},
  keywords     = {ACUTE MYOCARDIAL-INFARCTION,CHEST-PAIN,SCIENTIFIC STATEMENT,GENERAL-PRACTICE,PRIMARY-CARE,PREVALENCE,RATIONALE,DIAGNOSES,ISCHEMIA,COUNCIL},
  language     = {eng},
  number       = {2},
  pages        = {E90--E99},
  title        = {Feasibility and performance of a device for automatic self-detection of symptomatic acute coronary artery occlusion in outpatients with coronary artery disease: a multicentre observational study},
  url          = {http://dx.doi.org/10.1016/S2589-7500(19)30026-3},
  volume       = {1},
  year         = {2019},
}

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