Evidence map›Paper›PMID 37127543›Full record

ArticleResearch in nursing & health2023

Evaluation of premature ventricular complexes during in-hospital ECG monitoring as a predictor of ventricular tachycardia in an intensive care unit cohort.

Sukardi Suba, Thomas J Hoffmann, Kirsten E Fleischmann, Hildy Schell-Chaple, Gregory M Marcus, Priya Prasad, Xiao Hu, Fabio Badilini, Michele M Pelter

Open access · hybridAbstract read
In one paragraph

Article in Research in nursing & health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.9field-weighted citation impact, top 15% 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

3 citing papers in PubMed, 6 citations in OpenAlex.

  1. Time-series ECG Imputation Using a Pattern-Based Masking Framework.medRxiv : the preprint server for health sciences · 2026
    Article
  2. Observational
  3. 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

9 authors at 4 institutions in 2 countries.

Sukardi SubaSchool of Nursing, University of Rochester, Rochester, New York, USA.ORCID 0000-0002-0756-5720
Thomas J HoffmannDepartment of Epidemiology and Biostatistics, School of Medicine, and Office of Research, School of Nursing, University of California, San Francisco (UCSF), San Francisco, California, USA.
Kirsten E FleischmannDepartment of Medicine, School of Medicine, University of California, San Francisco, San Francisco, California, USA.
Hildy Schell-ChapleCenter for Nursing Excellence & Innovation, UCSF Medical Center, San Francisco, California, USA.
Gregory M MarcusDepartment of Medicine, School of Medicine, University of California, San Francisco, San Francisco, California, USA.
Priya PrasadDepartment of Medicine, School of Medicine, University of California, San Francisco, San Francisco, California, USA.
Xiao HuNell Hodgson Woodruff School of Nursing, Biomedical Informatics, School of Medicine, and Computer Science, College of Arts and Sciences, Emory University, Atlanta, Georgia, USA.
Fabio BadiliniDepartment of Physiological Nursing, Center for Physiologic Research, School of Nursing, University of California, San Francisco, San Francisco, California, USA.
Michele M PelterDepartment of Physiological Nursing, Center for Physiologic Research, School of Nursing, University of California, San Francisco, San Francisco, California, USA.
University of California, San Francisco · USFlorida State University · USUniversity of California San Francisco Medical Center · USUniversity of Rochester · US

Funding

Clinical and Translational Science InstituteUL1TR001872 · NCATS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI COLLARD, HAROLD R, JACOBY, VANESSA · 2016 to 2025
$112.1M
NCATS NIH HHS UL1 TR001872
6 · The paper itself

Abstract

In-hospital electrocardiographic (ECG) monitors are typically configured to alarm for premature ventricular complexes (PVCs) due to the potential association of PVCs with ventricular tachycardia (VT). However, no contemporary hospital-based studies have examined the association of PVCs with VT. Hence, the benefit of PVC monitoring in hospitalized patients is largely unknown. This secondary analysis used a large PVC alarm data set to determine whether PVCs identified during continuous ECG monitoring were associated with VT, in-hospital cardiac arrest (IHCA), and/or death in a cohort of adult intensive care unit patients. Six PVC types were examined (i.e., isolated, bigeminy, trigeminy, couplets, R-on-T, and run PVCs) and were compared between patients with and without VT, IHCA, and/or death. Of 445 patients, 48 (10.8%) had VT; 11 (2.5%) had IHCA; and 49 (11%) died. Isolated and run PVC counts were higher in the VT group (p = 0.03 both), but group differences were not seen for the other four PVC types. The regression models showed no significant associations between any of the six PVC types and VT or death, although confidence intervals were wide. Due to the small number of cases, we were unable to test for associations between PVCs and IHCA. Our findings suggest that we should question the clinical relevance of activating PVC alarms as a forewarning of VT, and more work should be done with larger sample sizes. A more precise characterization of clinically relevant PVCs that might be associated with VT is warranted.

Indexed as

Tachycardia, VentricularVentricular Premature ComplexesAdultElectrocardiographyHumansalarm fatiguein-hospital electrocardiographic monitoringintensive care unitpremature ventricular complexventricular tachycardia

Identifiers

PMID37127543
PMCPMC10351875
OpenAlexW4367625219

What OpenQuestion holds

Textmetadata
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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.