IRIS Institutional Research Information System - AIR Archivio Istituzionale della Ricerca
IRIS è il sistema di gestione integrata dei dati della ricerca (persone, progetti, pubblicazioni, attività) adottato dall'Università degli Studi di Milano.
AIR nasce in UNIMI nel 2006 con lo scopo di raccogliere, documentare e conservare le informazioni sulla produzione scientifica dell'Università degli Studi di Milano e costituisce di fatto l'Anagrafe della ricerca dell'Ateneo.
EnglishBACKGROUND Pauses in chest compressions (CCs) have a negative association with survival from cardiac arrest. Electrocardiographic (ECG) rhythm analysis and defibrillator charging are significant contributors to CC pauses. OBJECTIVE Accuracy of the Analysis During Compressions with Fast Reconfirmation (ADC-FR) algorithm, which features automated rhythm analysis and charging during CCs to reduce CC pauses, was retrospectively determined in a large database of ECGs from 2701 patients with out-of-hospital cardiac arrest. METHODS The ADC-FR algorithm generated a total of 7264 advisories, of which 3575 were randomly assigned to a development data set and 3689 to a test data set. With ADC-FR, a high-pass digital filter is used to remove CC artifacts, while the underlying ECG rhythm is automatically interpreted. When CCs are paused at the end of the 2-minute cardiopulmonary resuscitation interval, a 3-second reconfirmation analysis is performed using the artifact-free ECG to confirm the shock/no-shock advisory. The sensitivity and specificity of the ADC-FR algorithm in correctly identifying shockable/nonshockable rhythms during CCs were calculated. RESULTS In both data sets, the accuracy of the ADC-FR algorithm for each ECG rhythm exceeded the recommended performance goals, which apply to a standard artifact-free ECG analysis. Sensitivity and specificity were 97% and 99%, respectively, for the development data set and 95% and 99% for the test data set. CONCLUSION The ADC-FR algorithm is highly accurate in discriminating shockable and nonshockable rhythms and can be used to reduce CC pauses.
Cardiac rhythm analysis during ongoing cardiopulmonary resuscitation using the Analysis During Compressions with Fast reconfirmation technology / F. Fumagalli, A.E. Silver, Q. Tan, N. Zaidi, G. Ristagno. - In: HEART RHYTHM. - ISSN 1547-5271. - 15:2(2018 Feb), pp. 248-255.
| Titolo: | Cardiac rhythm analysis during ongoing cardiopulmonary resuscitation using the Analysis During Compressions with Fast reconfirmation technology | |
| Autori: | ||
| Parole Chiave: | Cardiac arrest; Rhythm analysis; Automated external defibrillation; Preshock pauses; Chest compression; Defibrillation | |
| Settore Scientifico Disciplinare: | Settore MED/41 - Anestesiologia | |
| Data di pubblicazione: | feb-2018 | |
| Rivista: | ||
| Tipologia: | Article (author) | |
| Digital Object Identifier (DOI): | http://dx.doi.org/10.1016/j.hrthm.2017.09.003 | |
| Appare nelle tipologie: | 01 - Articolo su periodico |
File in questo prodotto:
| File | Descrizione | Tipologia | Licenza | |
|---|---|---|---|---|
| ADC-FR (1).pdf | Post-print, accepted manuscript ecc. (versione accettata dall'editore) | Open Access Visualizza/Apri | ||
| 1-s2.0-S1547527117310822-main.pdf | Publisher's version/PDF | Administrator Richiedi una copia |
Pubblicazioni consigliate
Copyright © 2021