Evidence map›Paper›PMID 36963283›Full record

ArticleJournal of electrocardiology

An electrophysiological substrate of COVID-19.

Larisa G Tereshchenko, Jafar Pourbemany, Kazi T Haq, Hetal Patel, Jessica Hyde, Suha Quadri, Habiba Ibrahim, Aaron Tongpoon, Reyhane Pourbemany, Akram Khan

Registry-linked trialOpen access · greenAbstract readComparative Study
In one paragraph

Article in Journal of electrocardiology. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04555187 (Cardiovascular Risk Stratification in Covid-19), which is not on this map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.9field-weighted citation impact, top 25% 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.

NCT04555187 completednot on this map

Cardiovascular Risk Stratification in Covid-19

TypeobservationalSponsorOregon Health and Science UniversityRan2020 to 2021Enrolled1,355ConditionsCovid19, Cardiovascular Risk Factor
3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 4 citations in OpenAlex.

  1. 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

10 authors at 5 institutions in 1 country.

Larisa G TereshchenkoCleveland Clinic Lerner Research Institute, Department of Quantitative Health Sciences, Cleveland, OH, USA. Electronic address: tereshl@ccf.org.
Jafar PourbemanyCleveland Clinic Lerner Research Institute, Department of Quantitative Health Sciences, Cleveland, OH, USA.
Kazi T HaqChildren's National Hospital, Washington, DC, USA.
Hetal PatelChicago Medical School at Rosalind Franklin University, North Chicago, IL, USA.
Jessica HydeDivision of Pulmonary and Critical Care Medicine, School of Medicine, Oregon Health & Science University, Portland, OR, USA.
Suha QuadriDivision of Pulmonary and Critical Care Medicine, School of Medicine, Oregon Health & Science University, Portland, OR, USA.
Habiba IbrahimDivision of Pulmonary and Critical Care Medicine, School of Medicine, Oregon Health & Science University, Portland, OR, USA.
Aaron TongpoonDivision of Pulmonary and Critical Care Medicine, School of Medicine, Oregon Health & Science University, Portland, OR, USA.
Reyhane PourbemanyLorain County Community College, OH, USA.
Akram KhanDivision of Pulmonary and Critical Care Medicine, School of Medicine, Oregon Health & Science University, Portland, OR, USA.
Oregon Health & Science University · USCleveland Clinic Lerner College of Medicine · USChildren's National · USLorain County Community College · USRosalind Franklin University of Medicine and Science · US

Funding

Novel ECG Measures and Risk of Sudden Cardiac DeathR01HL118277 · NHLBI · OREGON HEALTH & SCIENCE UNIVERSITY · PI TERESHCHENKO, LARISA GENNADIEVNA · 2013 to 2016
$1.5M
Novel ECG measures and risk of sudden cardiac deathR56HL118277 · NHLBI · OREGON HEALTH & SCIENCE UNIVERSITY · PI TERESHCHENKO, LARISA GENNADIEVNA · 2018 to 2018
$396k
American Heart Association-American Stroke Association 23IPA1054947American Heart Association-American Stroke Association 23TPA1141088NHLBI NIH HHS R01 HL118277NHLBI NIH HHS R56 HL118277
6 · The paper itself

Abstract

SARS-CoV-2 infection is associated with an increased risk of late cardiovascular (CV) outcomes. However, more data is needed to describe the electrophysiologic (EP) manifestation of post-acute CV sequelae of COVID-19. We compared two cohorts of adult patients with SARS-CoV-2 polymerase chain reaction (PCR) test and an electrocardiogram (ECG) performed between March 1, 2020, and September 13, 2020, in a retrospective double-cohort study, "Cardiovascular Risk Stratification in Covid-19" (CaVaR-Co19; NCT04555187). Patients with positive PCR comprised a COVID-19(+) cohort (n = 41; 61% women; 80% symptomatic), whereas patients with negative tests formed the COVID-19(-) cohort (n = 155; 56% women). In longitudinal analysis, comparing 3 ECGs recorded before, during, and on average 40 days after index COVID-19 episode, after adjustment for demographic and socioeconomic characteristics, baseline CV risk factors and comorbidities, use of prescription medications (including QT-prolonging drugs) before and during index COVID-19 episode, and the longitudinal changes in RR' intervals, heart rhythm, and ventricular conduction type, only in the COVID-19(+) cohort QTc increased by +30.2(95% confidence interval [CI] 0.1-60.3) ms and the spatial ventricular gradient (SVG) elevation increased by +13.5(95%CI 1.2-25.9)°. In contrast, much smaller, statistically nonsignificant changes were observed in the COVID-19(-) cohort. In conclusion, post-acute CV sequelae of SARS-CoV-2 infection manifested on ECG by QTc prolongation and rotation of the SVG vector upward.

Indexed as

COVID-19Long QT SyndromeAdultCohort StudiesDisease ProgressionElectrocardiographyFemaleHumansHydroxychloroquineMaleRetrospective StudiesSARS-CoV-2HydroxychloroquineBiostatisticsCOVID-19ElectrocardiogramVectorcardiography

Identifiers

PMID36963283
PMCPMC10027233
OpenAlexW4327918761

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

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.