Evidence map›Paper›PMID 42328192›Full record

ArticleJournal of arrhythmia2026

Significance and Usefulness of High-Resolution 24-h Electrocardiographic Parameters in Patients With Coronavirus Disease 2019 After Admission: A Prospective Cohort Study.

Motohiro Kimata, Kenichi Hashimoto, Naomi Harada, Yusuke Kawamura, Yoshifumi Kimizuka, Mayuko Kaneko, Nobuaki Kiriu, Yasumasa Sekine, Natsumi Iwabuchi, Tetsuro Kiyozumi and 3 more

Abstract read
In one paragraph

Article in Journal of arrhythmia, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

13 authors.

Motohiro KimataDepartment of General Medicine National Defense Medical College Saitama Japan.ORCID https://orcid.org/0009-0003-8282-7633
Kenichi HashimotoDepartment of General Medicine National Defense Medical College Saitama Japan.ORCID https://orcid.org/0000-0001-6838-1215
Naomi HaradaMedical Education and Clinical Training Center, Division of Clinical Training Management National Defense Medical College Saitama Japan.ORCID https://orcid.org/0009-0003-3611-6726
Yusuke KawamuraDepartment of General Medicine National Defense Medical College Saitama Japan.ORCID https://orcid.org/0000-0001-5021-1613
Yoshifumi KimizukaDivision of Infectious Diseases and Respiratory Medicine, Department of Internal Medicine National Defense Medical College Saitama Japan.ORCID https://orcid.org/0000-0002-4026-7506
Mayuko KanekoDepartment of Traumatology and Critical Care Medicine National Defense Medical College Saitama Japan.ORCID https://orcid.org/0000-0001-9873-2557
Nobuaki KiriuDepartment of Traumatology and Critical Care Medicine National Defense Medical College Saitama Japan.ORCID https://orcid.org/0000-0001-9568-6911
Yasumasa SekineDepartment of Traumatology and Critical Care Medicine National Defense Medical College Saitama Japan.
Natsumi IwabuchiDepartment of Laboratory Medicine National Defense Medical College Hospital, National Defense Medical College Saitama Japan.
Tetsuro KiyozumiDepartment of Traumatology and Critical Care Medicine National Defense Medical College Saitama Japan.ORCID https://orcid.org/0000-0002-4098-1961
Susumu MatsukumaDepartment of Pathology and Laboratory Medicine National Defense Medical College Saitama Japan.ORCID https://orcid.org/0000-0003-0409-7527
Yuji TanakaDepartment of General Medicine National Defense Medical College Saitama Japan.
Nobutaka HirookaDepartment of General Medicine National Defense Medical College Saitama Japan.ORCID https://orcid.org/0000-0002-0578-3572

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: This study aimed to explore the predictors of disease severity in patients with coronavirus disease 2019 (COVID-19) using ambulatory electrocardiographic markers (AECG-Ms), which are prognostic predictors of cardiac death, as well as echocardiography and laboratory parameters. Methods: A prospective cohort study was conducted using data from 70 patients diagnosed with COVID-19 and admitted to the National Defense Medical College Hospital between January 2021 and December 2023. A high-resolution Holter electrocardiogram recorder was attached to all patients for 24 h within 48 h of admission, and AECG-Ms were measured. Laboratory tests and echocardiography were also performed. Results: Logistic univariate analysis revealed that the T-wave alternans (TWA) positivity rate was significantly higher in the fatal event group (all-cause mortality and onset of sustained ventricular tachycardia or ventricular fibrillation) than in the non-fatal event group. Kaplan-Meier curves at 30 days after admission showed a significant worsening in the survival rate of the TWA and late potential positive groups (log-rank test, Conclusion: In patients with COVID-19 without obvious cardiac disease, AECG-Ms were highly positive. The study findings may allow easy and rapid prediction of prognosis at the bedside of patients with COVID-19.

Indexed as

ambulatory electrocardiographic markersHolter electrocardiographlate potentialmyocardial ischemiamyocardial remodelingT‐wave alternans

Identifiers

PMID42328192
PMCPMC13280665

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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.