Evidence map›Paper›PMID 35165040›Full record

ArticleJournal of cardiothoracic and vascular anesthesia2022

Electrocardiographic Features and Outcome: Correlations in 124 Hospitalized Patients With COVID-19 and Cardiovascular Events.

Pavani Nathala, Vidyulata Salunkhe, Harideep Samanapally, Qian Xu, Stephen Furmanek, Omar H Fahmy, Fnu Deepti, Alex Glynn, Trevor McGuffin, Dylan C Goldsmith and 12 more

Open access · greenAbstract read
In one paragraph

Article in Journal of cardiothoracic and vascular anesthesia, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.9field-weighted citation impact, top 26% 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

8 citing papers in PubMed, 9 citations in OpenAlex.

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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

22 authors at 1 institution in 1 country.

Pavani NathalaDivision of Infectious Diseases, Center of Excellence for Research in Infectious Diseases, University of Louisville, Louisville, KY.
Vidyulata SalunkheDivision of Infectious Diseases, Center of Excellence for Research in Infectious Diseases, University of Louisville, Louisville, KY.
Harideep SamanapallyDivision of Infectious Diseases, Center of Excellence for Research in Infectious Diseases, University of Louisville, Louisville, KY.
Qian XuDepartment of Bioinformatics and Biostatistics, School of Public Health and Information Sciences, University of Louisville, Louisville, KY.
Stephen FurmanekDivision of Infectious Diseases, Center of Excellence for Research in Infectious Diseases, University of Louisville, Louisville, KY.
Omar H FahmyDivision of Infectious Diseases, Center of Excellence for Research in Infectious Diseases, University of Louisville, Louisville, KY.
Fnu DeeptiDivision of Infectious Diseases, Center of Excellence for Research in Infectious Diseases, University of Louisville, Louisville, KY.
Alex GlynnDivision of Infectious Diseases, Center of Excellence for Research in Infectious Diseases, University of Louisville, Louisville, KY.
Trevor McGuffinSchool of Nursing, University of Louisville, Louisville, KY.
Dylan C GoldsmithSchool of Medicine, University of Louisville, Louisville, KY.
Jessica PetreyKornhauser Health Sciences Library, University of Louisville, Louisville, KY.
Tshura AliDivision of Infectious Diseases, Center of Excellence for Research in Infectious Diseases, University of Louisville, Louisville, KY.
Derek TitusDepartment of Anesthesiology and Perioperative Medicine, University of Louisville, Louisville, KY.
Ruth CarricoDivision of Infectious Diseases, Center of Excellence for Research in Infectious Diseases, University of Louisville, Louisville, KY.
Julio RamirezDivision of Infectious Diseases, Center of Excellence for Research in Infectious Diseases, University of Louisville, Louisville, KY.
Demetra AntimisiarisDepartment of Pharmacology & Toxicology, University of Louisville, Louisville, KY.
Sean P CliffordDepartment of Anesthesiology and Perioperative Medicine, University of Louisville, Louisville, KY.
Siddharth PahwaDepartment of Cardiovascular & Thoracic Surgery, University of Louisville, Louisville, KY.
Lynn RoserSchool of Medicine, University of Louisville, Louisville, KY.
Maiying KongDepartment of Bioinformatics and Biostatistics, School of Public Health and Information Sciences, University of Louisville, Louisville, KY.
Jiapeng HuangDivision of Infectious Diseases, Center of Excellence for Research in Infectious Diseases, University of Louisville, Louisville, KY; Department of Anesthesiology and Perioperative Medicine, University of Louisville, Louisville, KY; Department of Pharmacology & Toxicology, University of Louisville, Louisville, KY; Department of Cardiovascular & Thoracic Surgery, University of Louisville, Louisville, KY; Center for Integrative Environmental Health Sciences, University of Louisville, Louisville, KY. Electronic address: jiapeng.huang@louisville.edu.
Center of Excellence for Research in Infectious Diseases (CERID) Coronavirus Study Group on behalf of the COVID-19 Cardiovascular Research Group (COVID-CVRG)
University of Louisville · US

Funding

University of Louisville Center for Integrative Environmental Health SciencesP30ES030283 · NIEHS · UNIVERSITY OF LOUISVILLE · PI Amanda Jo LeBlanc · 2020 to 2026
$10.0M
A Handheld Microchip for GC analysis of breath to screen for COVID-19U18TR003787 · NCATS · UNIVERSITY OF LOUISVILLE · PI FU, XIAO-AN, NANTZ, MICHAEL H · 2021 to 2022
$2.0M
NCATS NIH HHS U18 TR003787NIEHS NIH HHS P30 ES030283
6 · The paper itself

Abstract

objectivesElectrocardiographic (ECG) changes have been associated with coronavirus disease 2019 (COVID-19) severity. However, the progression of ECG findings in patients with COVID-19 has not been studied. The purpose of this study was to describe ECG features at different stages of COVID-19 cardiovascular (CV) events and to examine the effects of specific ECG parameters and cardiac-related biomarkers on clinical outcomes in COVID-19.

designRetrospective, cohort study.

settingMajor tertiary-care medical centers and community hospitals in Louisville, KY.

participantsA total of 124 patients with COVID-19 and CV events during hospitalization.

interventionsNone. MEASUREMENTS AND MAIN

resultsTwelve-lead ECG parameters, biomarkers of cardiac injuries, and clinical outcomes were analyzed with Spearman correlation coefficients and Kruskal-Wallis 1-way analysis of variance. Atrial fibrillation/atrial flutter was more frequent on the ECG obtained at the time of the CV event when compared with admission ECG (9.5% v 26.9%; p = 0.007). Sinus tachycardia was higher in the last available hospital ECG than the CV event ECG (37.5% v 20.4%; p = 0.031). Admission ECG-corrected QT interval was significantly associated with admission troponin levels (R = 0.52; p < 0.001). The last available hospital ECG showed nonsurvivors had longer QRS duration than survivors (114.6 v 91.2 ms; p = 0.026), and higher heart rate was associated with longer intensive care unit length of stay (Spearman ρ = 0.339; p = 0.032).

conclusionsIn hospitalized patients with COVID-19 and CV events, ECGs at various stages of COVID-19 hospitalization showed significantly different features with dissimilar clinical outcome correlations.

Indexed as

Cardiovascular DiseasesCOVID-19Cohort StudiesElectrocardiographyHumansRetrospective Studiescardiovascular eventsCOVID-19ECGelectrocardiogrammortalitySARS-CoV-2

Identifiers

PMID35165040
PMCPMC8757653
OpenAlexW4205355652

What OpenQuestion holds

Textmetadata
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.