SHM Converge Scientific Abstract ePoster Gallery-Ventricular Tachycardia and in-Hospital Mortality Among Intensive Care Unit Patients

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This retrospective cohort study examined whether ventricular tachycardia (VT) detected in ICU patients is associated with 30-day in-hospital mortality, and whether current bedside monitor alerts are accurate enough to identify high-risk patients.<br /><br />The study included 5,679 ICU admissions from an urban academic medical center between September 2013 and April 2015, with 572,574 hours of continuous ECG monitoring. The average patient age was 58 years, 47.6% were female, and 8.9% of admissions ended in 30-day in-hospital death.<br /><br />Researchers compared three VT definitions:  <br />1. VT alerts from current bedside ECG monitors,  <br />2. VT detected by a new algorithm, and  <br />3. “True VT” manually confirmed by expert clinicians.<br /><br />VT was common by bedside monitor alerts (30% of admissions), but less frequent using the new algorithm (15%) and clinician-confirmed true VT (10%). Patients with any VT alert were generally older, less often female, and had more VT-related comorbidities.<br /><br />In unadjusted analyses, all VT types were associated with higher mortality. After adjustment, patients with VT identified by the new algorithm had a 41% higher rate of 30-day in-hospital mortality, and those with true VT had a 32% higher rate. In contrast, VT alerts from the current bedside monitor were not associated with increased mortality.<br /><br />The main conclusion is that the new VT algorithm and clinician-adjudicated true VT better identified patients at increased risk of death than current bedside monitor alerts. The authors suggest this algorithm may improve risk stratification in ICU patients, but it should be prospectively validated, including evaluation of recurrent VT and mortality risk.

Asset Subtitle

Priya A. Prasad

Meta Tag

Author List Claire Sommargren, David Mortara, Fabio Badilini, Jessica Zègre-Hemsey, Jonas Isakson, Jørgen Kanters, Mary Carey, Michele Pelter, Priya A. Prasad, Salah Al-Zaiti, Yumiko Abe-Jones

Category Research

Concept Ventricular Tachycardia

Concept Mortality

Concept VT Detection Algorithm

Concept 30-Day In-Hospital Mortality

Concept ICU Patients

Distinguished Non-Finalist

Presenter Organization University of California San Francisco

Presenting Author Priya A. Prasad

Track Outcomes Research

Keywords

ventricular tachycardia

ICU patients

30-day in-hospital mortality

continuous ECG monitoring

bedside monitor alerts

new VT algorithm

true VT

risk stratification

retrospective cohort study

clinician-adjudicated VT

Ventricular Tachycardia

Mortality

VT Detection Algorithm

30-Day In-Hospital Mortality

ICU Patients