Cargando…

An annotated ventricular tachycardia (VT) alarm database: Toward a uniform standard for optimizing automated VT identification in hospitalized patients

BACKGROUND: False ventricular tachycardia (VT) alarms are common during in‐hospital electrocardiographic (ECG) monitoring. Prior research shows that the majority of false VT can be attributed to algorithm deficiencies. PURPOSE: The purpose of this study was: (1) to describe the creation of a VT data...

Descripción completa

Detalles Bibliográficos
Autores principales: Pelter, Michele M., Carey, Mary G., Al‐Zaiti, Salah, Zegre‐Hemsey, Jessica, Sommargren, Claire, Isola, Lamberto, Prasad, Priya, Mortara, David, Badilini, Fabio
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10335615/
https://www.ncbi.nlm.nih.gov/pubmed/36892130
http://dx.doi.org/10.1111/anec.13054
_version_ 1785071034647445504
author Pelter, Michele M.
Carey, Mary G.
Al‐Zaiti, Salah
Zegre‐Hemsey, Jessica
Sommargren, Claire
Isola, Lamberto
Prasad, Priya
Mortara, David
Badilini, Fabio
author_facet Pelter, Michele M.
Carey, Mary G.
Al‐Zaiti, Salah
Zegre‐Hemsey, Jessica
Sommargren, Claire
Isola, Lamberto
Prasad, Priya
Mortara, David
Badilini, Fabio
author_sort Pelter, Michele M.
collection PubMed
description BACKGROUND: False ventricular tachycardia (VT) alarms are common during in‐hospital electrocardiographic (ECG) monitoring. Prior research shows that the majority of false VT can be attributed to algorithm deficiencies. PURPOSE: The purpose of this study was: (1) to describe the creation of a VT database annotated by ECG experts and (2) to determine true vs. false VT using a new VT algorithm created by our group. METHODS: The VT algorithm was processed in 5320 consecutive ICU patients with 572,574 h of ECG and physiologic monitoring. A search algorithm identified potential VT, defined as: heart rate >100 beats/min, QRSs > 120 ms, and change in QRS morphology in >6 consecutive beats compared to the preceding native rhythm. Seven ECG channels, SpO(2), and arterial blood pressure waveforms were processed and loaded into a web‐based annotation software program. Five PhD‐prepared nurse scientists performed the annotations. RESULTS: Of the 5320 ICU patients, 858 (16.13%) had 22,325 VTs. After three levels of iterative annotations, a total of 11,970 (53.62%) were adjudicated as true, 6485 (29.05%) as false, and 3870 (17.33%) were unresolved. The unresolved VTs were concentrated in 17 patients (1.98%). Of the 3870 unresolved VTs, 85.7% (n = 3281) were confounded by ventricular paced rhythm, 10.8% (n = 414) by underlying BBB, and 3.5% (n = 133) had a combination of both. CONCLUSIONS: The database described here represents the single largest human‐annotated database to date. The database includes consecutive ICU patients, with true, false, and challenging VTs (unresolved) and could serve as a gold standard database to develop and test new VT algorithms.
format Online
Article
Text
id pubmed-10335615
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher John Wiley and Sons Inc.
record_format MEDLINE/PubMed
spelling pubmed-103356152023-07-12 An annotated ventricular tachycardia (VT) alarm database: Toward a uniform standard for optimizing automated VT identification in hospitalized patients Pelter, Michele M. Carey, Mary G. Al‐Zaiti, Salah Zegre‐Hemsey, Jessica Sommargren, Claire Isola, Lamberto Prasad, Priya Mortara, David Badilini, Fabio Ann Noninvasive Electrocardiol Original Articles BACKGROUND: False ventricular tachycardia (VT) alarms are common during in‐hospital electrocardiographic (ECG) monitoring. Prior research shows that the majority of false VT can be attributed to algorithm deficiencies. PURPOSE: The purpose of this study was: (1) to describe the creation of a VT database annotated by ECG experts and (2) to determine true vs. false VT using a new VT algorithm created by our group. METHODS: The VT algorithm was processed in 5320 consecutive ICU patients with 572,574 h of ECG and physiologic monitoring. A search algorithm identified potential VT, defined as: heart rate >100 beats/min, QRSs > 120 ms, and change in QRS morphology in >6 consecutive beats compared to the preceding native rhythm. Seven ECG channels, SpO(2), and arterial blood pressure waveforms were processed and loaded into a web‐based annotation software program. Five PhD‐prepared nurse scientists performed the annotations. RESULTS: Of the 5320 ICU patients, 858 (16.13%) had 22,325 VTs. After three levels of iterative annotations, a total of 11,970 (53.62%) were adjudicated as true, 6485 (29.05%) as false, and 3870 (17.33%) were unresolved. The unresolved VTs were concentrated in 17 patients (1.98%). Of the 3870 unresolved VTs, 85.7% (n = 3281) were confounded by ventricular paced rhythm, 10.8% (n = 414) by underlying BBB, and 3.5% (n = 133) had a combination of both. CONCLUSIONS: The database described here represents the single largest human‐annotated database to date. The database includes consecutive ICU patients, with true, false, and challenging VTs (unresolved) and could serve as a gold standard database to develop and test new VT algorithms. John Wiley and Sons Inc. 2023-03-09 /pmc/articles/PMC10335615/ /pubmed/36892130 http://dx.doi.org/10.1111/anec.13054 Text en © 2023 The Authors. Annals of Noninvasive Electrocardiology published by Wiley Periodicals LLC. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ (https://creativecommons.org/licenses/by-nc-nd/4.0/) License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made.
spellingShingle Original Articles
Pelter, Michele M.
Carey, Mary G.
Al‐Zaiti, Salah
Zegre‐Hemsey, Jessica
Sommargren, Claire
Isola, Lamberto
Prasad, Priya
Mortara, David
Badilini, Fabio
An annotated ventricular tachycardia (VT) alarm database: Toward a uniform standard for optimizing automated VT identification in hospitalized patients
title An annotated ventricular tachycardia (VT) alarm database: Toward a uniform standard for optimizing automated VT identification in hospitalized patients
title_full An annotated ventricular tachycardia (VT) alarm database: Toward a uniform standard for optimizing automated VT identification in hospitalized patients
title_fullStr An annotated ventricular tachycardia (VT) alarm database: Toward a uniform standard for optimizing automated VT identification in hospitalized patients
title_full_unstemmed An annotated ventricular tachycardia (VT) alarm database: Toward a uniform standard for optimizing automated VT identification in hospitalized patients
title_short An annotated ventricular tachycardia (VT) alarm database: Toward a uniform standard for optimizing automated VT identification in hospitalized patients
title_sort annotated ventricular tachycardia (vt) alarm database: toward a uniform standard for optimizing automated vt identification in hospitalized patients
topic Original Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10335615/
https://www.ncbi.nlm.nih.gov/pubmed/36892130
http://dx.doi.org/10.1111/anec.13054
work_keys_str_mv AT peltermichelem anannotatedventriculartachycardiavtalarmdatabasetowardauniformstandardforoptimizingautomatedvtidentificationinhospitalizedpatients
AT careymaryg anannotatedventriculartachycardiavtalarmdatabasetowardauniformstandardforoptimizingautomatedvtidentificationinhospitalizedpatients
AT alzaitisalah anannotatedventriculartachycardiavtalarmdatabasetowardauniformstandardforoptimizingautomatedvtidentificationinhospitalizedpatients
AT zegrehemseyjessica anannotatedventriculartachycardiavtalarmdatabasetowardauniformstandardforoptimizingautomatedvtidentificationinhospitalizedpatients
AT sommargrenclaire anannotatedventriculartachycardiavtalarmdatabasetowardauniformstandardforoptimizingautomatedvtidentificationinhospitalizedpatients
AT isolalamberto anannotatedventriculartachycardiavtalarmdatabasetowardauniformstandardforoptimizingautomatedvtidentificationinhospitalizedpatients
AT prasadpriya anannotatedventriculartachycardiavtalarmdatabasetowardauniformstandardforoptimizingautomatedvtidentificationinhospitalizedpatients
AT mortaradavid anannotatedventriculartachycardiavtalarmdatabasetowardauniformstandardforoptimizingautomatedvtidentificationinhospitalizedpatients
AT badilinifabio anannotatedventriculartachycardiavtalarmdatabasetowardauniformstandardforoptimizingautomatedvtidentificationinhospitalizedpatients
AT peltermichelem annotatedventriculartachycardiavtalarmdatabasetowardauniformstandardforoptimizingautomatedvtidentificationinhospitalizedpatients
AT careymaryg annotatedventriculartachycardiavtalarmdatabasetowardauniformstandardforoptimizingautomatedvtidentificationinhospitalizedpatients
AT alzaitisalah annotatedventriculartachycardiavtalarmdatabasetowardauniformstandardforoptimizingautomatedvtidentificationinhospitalizedpatients
AT zegrehemseyjessica annotatedventriculartachycardiavtalarmdatabasetowardauniformstandardforoptimizingautomatedvtidentificationinhospitalizedpatients
AT sommargrenclaire annotatedventriculartachycardiavtalarmdatabasetowardauniformstandardforoptimizingautomatedvtidentificationinhospitalizedpatients
AT isolalamberto annotatedventriculartachycardiavtalarmdatabasetowardauniformstandardforoptimizingautomatedvtidentificationinhospitalizedpatients
AT prasadpriya annotatedventriculartachycardiavtalarmdatabasetowardauniformstandardforoptimizingautomatedvtidentificationinhospitalizedpatients
AT mortaradavid annotatedventriculartachycardiavtalarmdatabasetowardauniformstandardforoptimizingautomatedvtidentificationinhospitalizedpatients
AT badilinifabio annotatedventriculartachycardiavtalarmdatabasetowardauniformstandardforoptimizingautomatedvtidentificationinhospitalizedpatients