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Ventricular tachycardia and in-hospital mortality in the intensive care unit.
- Source :
-
Heart rhythm O2 [Heart Rhythm O2] 2023 Sep 28; Vol. 4 (11), pp. 715-722. Date of Electronic Publication: 2023 Sep 28 (Print Publication: 2023). - Publication Year :
- 2023
-
Abstract
- Background: Continuous electrocardiographic (ECG) monitoring is used to identify ventricular tachycardia (VT), but false alarms occur frequently.<br />Objective: The purpose of this study was to assess the rate of 30-day in-hospital mortality associated with VT alerts generated from bedside ECG monitors to those from a new algorithm among intensive care unit (ICU) patients.<br />Methods: We conducted a retrospective cohort study in consecutive adult ICU patients at an urban academic medical center and compared current bedside monitor VT alerts, VT alerts from a new-unannotated algorithm, and true-annotated VT. We used survival analysis to explore the association between VT alerts and mortality.<br />Results: We included 5679 ICU admissions (mean age 58 ± 17 years; 48% women), 503 (8.9%) experienced 30-day in-hospital mortality. A total of 30.1% had at least 1 current bedside monitor VT alert, 14.3% had a new-unannotated algorithm VT alert, and 11.6% had true-annotated VT. Bedside monitor VT alert was not associated with increased rate of 30-day mortality (adjusted hazard ratio [aHR] 1.06; 95% confidence interval [CI] 0.88-1.27), but there was an association for VT alerts from our new-unannotated algorithm (aHR 1.38; 95% CI 1.12-1.69) and true-annotated VT(aHR 1.39; 95% CI 1.12-1.73).<br />Conclusion: Unannotated and annotated-true VT were associated with increased rate of 30-day in-hospital mortality, whereas current bedside monitor VT was not. Our new algorithm may accurately identify high-risk VT; however, prospective validation is needed.<br /> (© 2023 Heart Rhythm Society. Published by Elsevier Inc.)
Details
- Language :
- English
- ISSN :
- 2666-5018
- Volume :
- 4
- Issue :
- 11
- Database :
- MEDLINE
- Journal :
- Heart rhythm O2
- Publication Type :
- Academic Journal
- Accession number :
- 38034889
- Full Text :
- https://doi.org/10.1016/j.hroo.2023.09.008