Evidence map›Paper›PMID 38034889›Full record

ArticleHeart rhythm O22023

Ventricular tachycardia and in-hospital mortality in the intensive care unit.

Priya A Prasad, Jonas L Isaksen, Yumiko Abe-Jones, Jessica K Zègre-Hemsey, Claire E Sommargren, Salah S Al-Zaiti, Mary G Carey, Fabio Badilini, David Mortara, Jørgen K Kanters and 1 more

Open access · goldAbstract read
In one paragraph

Article in Heart rhythm O2, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.0field-weighted citation impact, top 23% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed, 3 citations in OpenAlex.

  1. Time-series ECG Imputation Using a Pattern-Based Masking Framework.medRxiv : the preprint server for health sciences · 2026
    Article
  2. Article
  3. Article
  4. Evaluating artificial intelligence-enabled medical tests in cardiology: Best practice.International journal of cardiology. Heart & vasculature · 2025
    Review
  5. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors at 5 institutions in 2 countries.

Priya A PrasadDepartment of Medicine, Division of Hospital Medicine, School of Medicine, University of California, San Francisco, San Francisco, California.
Jonas L IsaksenDepartment of Biomedical Sciences, University of Copenhagen, Copenhagen, Denmark.
Yumiko Abe-JonesDepartment of Medicine, Division of Hospital Medicine, School of Medicine, University of California, San Francisco, San Francisco, California.
Jessica K Zègre-HemseySchool of Nursing, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina.
Claire E SommargrenDepartment of Physiological Nursing, University of California School of Nursing, San Francisco, California.
Salah S Al-ZaitiDepartment of Acute & Tertiary Care Nursing, University of Pittsburgh, Pittsburgh, Pennsylvania.
Mary G CareySchool of Nursing, University of Rochester, Rochester, New York.
Fabio BadiliniCenter for Physiologic Research, University of California San Francisco School of Nursing, San Francisco, California.
David MortaraCenter for Physiologic Research, University of California San Francisco School of Nursing, San Francisco, California.
Jørgen K KantersDepartment of Biomedical Sciences, University of Copenhagen, Copenhagen, Denmark.
Michele M PelterCenter for Physiologic Research, University of California San Francisco School of Nursing, San Francisco, California.
University of California, San Francisco · USUniversity of Copenhagen · DKUniversity of North Carolina at Chapel Hill · USUniversity of Pittsburgh · USUniversity of Rochester · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Continuous electrocardiographic (ECG) monitoring is used to identify ventricular tachycardia (VT), but false alarms occur frequently. 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. 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. 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). 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.

Indexed as

Alarm fatigueAlgorithm developmentContinuous electrocardiographic monitoringIn-hospital mortalityIntensive care unitVentricular tachycardia

Identifiers

PMID38034889
PMCPMC10685163
OpenAlexW4387078914

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.