Evidence map›Paper›PMID 33890991›Full record

ArticleJAMA network open2021

Cardiac Corrected QT Interval Changes Among Patients Treated for COVID-19 Infection During the Early Phase of the Pandemic.

Geoffrey A Rubin, Amar D Desai, Zilan Chai, Aijin Wang, Qixuan Chen, Amy S Wang, Cameron Kemal, Haajra Baksh, Angelo Biviano, Jose M Dizon and 21 more

Open access · goldAbstract read
In one paragraph

Article in JAMA network open, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed, 1 pooled it
7.5field-weighted citation impact, top 2% 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

33 citing papers in PubMed, 1 synthesis or guideline pooled it, 53 citations in OpenAlex.

  1. Pooled it
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  14. Observational
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  18. Inference from Nonrandom Samples Using Bayesian Machine Learning.Journal of survey statistics and methodology · 2023
    Article
  19. Torsades de pointes associated with remdesivir treatment for COVID-19 pneumonia.Journal of the Association of Medical Microbiology and Infectious Disease Canada = Journal officiel de l'Association pour la microbiologie medicale et l'infectiologie Canada · 2023
    Article
  20. 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

31 authors at 1 institution in 1 country.

Geoffrey A RubinDivision of Cardiology, Department of Medicine, Vagelos College of Physicians and Surgeons, Columbia University, New York, New York.
Amar D DesaiDivision of Cardiology, Department of Medicine, Vagelos College of Physicians and Surgeons, Columbia University, New York, New York.
Zilan ChaiDepartment of Biostatistics, Mailman School of Public Health, Columbia University, New York, New York.
Aijin WangDepartment of Biostatistics, Mailman School of Public Health, Columbia University, New York, New York.
Qixuan ChenDepartment of Biostatistics, Mailman School of Public Health, Columbia University, New York, New York.
Amy S WangVagelos College of Physicians and Surgeons, Columbia University, New York, New York.
Cameron KemalDepartment of Medicine, Vagelos College of Physicians and Surgeons, Columbia University, New York, New York.
Haajra BakshDivision of Cardiology, Department of Medicine, Vagelos College of Physicians and Surgeons, Columbia University, New York, New York.
Angelo BivianoDivision of Cardiology, Department of Medicine, Vagelos College of Physicians and Surgeons, Columbia University, New York, New York.
Jose M DizonDivision of Cardiology, Department of Medicine, Vagelos College of Physicians and Surgeons, Columbia University, New York, New York.
Hirad YarmohammadiDivision of Cardiology, Department of Medicine, Vagelos College of Physicians and Surgeons, Columbia University, New York, New York.
Frederick EhlertDivision of Cardiology, Department of Medicine, Vagelos College of Physicians and Surgeons, Columbia University, New York, New York.
Deepak SalujaDivision of Cardiology, Department of Medicine, Vagelos College of Physicians and Surgeons, Columbia University, New York, New York.
David A RubinDivision of Cardiology, Department of Medicine, Vagelos College of Physicians and Surgeons, Columbia University, New York, New York.
John P MorrowDivision of Cardiology, Department of Medicine, Vagelos College of Physicians and Surgeons, Columbia University, New York, New York.
Uma Mahesh R AvulaDivision of Cardiology, Department of Medicine, Vagelos College of Physicians and Surgeons, Columbia University, New York, New York.
Jeremy P BermanDivision of Cardiology, Department of Medicine, Vagelos College of Physicians and Surgeons, Columbia University, New York, New York.
Alexander KushnirDivision of Cardiology, Department of Medicine, Vagelos College of Physicians and Surgeons, Columbia University, New York, New York.
Mark P AbramsDivision of Cardiology, Department of Medicine, Vagelos College of Physicians and Surgeons, Columbia University, New York, New York.
Jessica A HennesseyDivision of Cardiology, Department of Medicine, Vagelos College of Physicians and Surgeons, Columbia University, New York, New York.
Pierre EliasDivision of Cardiology, Department of Medicine, Vagelos College of Physicians and Surgeons, Columbia University, New York, New York.
Timothy J PoteruchaDivision of Cardiology, Department of Medicine, Vagelos College of Physicians and Surgeons, Columbia University, New York, New York.
Nir UrielDivision of Cardiology, Department of Medicine, Vagelos College of Physicians and Surgeons, Columbia University, New York, New York.
Christine J KubinDivision of Infectious Disease, Department of Medicine, Vagelos College of Physicians and Surgeons, Columbia University, New York, New York.
Elijah LaSotaDivision of Infectious Disease, Department of Medicine, Vagelos College of Physicians and Surgeons, Columbia University, New York, New York.
Jason ZuckerDivision of Infectious Disease, Department of Medicine, Vagelos College of Physicians and Surgeons, Columbia University, New York, New York.
Magdalena E SobieszczykDivision of Infectious Disease, Department of Medicine, Vagelos College of Physicians and Surgeons, Columbia University, New York, New York.
Allan SchwartzDivision of Cardiology, Department of Medicine, Vagelos College of Physicians and Surgeons, Columbia University, New York, New York.
Hasan GaranDivision of Cardiology, Department of Medicine, Vagelos College of Physicians and Surgeons, Columbia University, New York, New York.
Marc P WaaseDivision of Cardiology, Department of Medicine, Vagelos College of Physicians and Surgeons, Columbia University, New York, New York.
Elaine Y WanDivision of Cardiology, Department of Medicine, Vagelos College of Physicians and Surgeons, Columbia University, New York, New York.
Columbia University · US

Funding

Columbia Partnership for Prevention and Control of HIV/AIDS Clinical Trials UnitUM1AI069470 · NIAID · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI MAGDALENA ELZBIETA SOBIESZCZYK · 2012 to 2026
$44.8M
Understanding the role of mitochondrial dysfunction in cardiac arrhythmias using a novel 3D panoramic optical mapping systemR01HL152236 · NHLBI · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI WAN, ELAINE Y · 2020 to 2024
$2.0M
Harnessing Bioinformatics for HIV Prevention: Understanding Persistence in Comprehensive HIV Prevention ServicesK23AI150378 · NIAID · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI ZUCKER, JASON · 2020 to 2024
$960k
NHLBI NIH HHS R01 HL152236NIAID NIH HHS K23 AI150378NIAID NIH HHS L30 AI133789NIAID NIH HHS UM1 AI069470
6 · The paper itself

Abstract

Importance: Critical illness, a marked inflammatory response, and viruses such as SARS-CoV-2 may prolong corrected QT interval (QTc). Objective: To evaluate baseline QTc interval on 12-lead electrocardiograms (ECGs) and ensuing changes among patients with and without COVID-19. Design, Setting, and Participants: This cohort study included 3050 patients aged 18 years and older who underwent SARS-CoV-2 testing and had ECGs at Columbia University Irving Medical Center from March 1 through May 1, 2020. Patients were analyzed by treatment group over 5 days, as follows: hydroxychloroquine with azithromycin, hydroxychloroquine alone, azithromycin alone, and neither hydroxychloroquine nor azithromycin. ECGs were manually analyzed by electrophysiologists masked to COVID-19 status. Multivariable modeling evaluated clinical associations with QTc prolongation from baseline. Exposures: COVID-19, hydroxychloroquine, azithromycin. Main Outcomes and Measures: Mean QTc prolongation, percentage of patients with QTc of 500 milliseconds or greater. Results: A total of 965 patients had more than 2 ECGs and were included in the study, with 561 (58.1%) men, 198 (26.2%) Black patients, and 191 (19.8%) aged 80 years and older. There were 733 patients (76.0%) with COVID-19 and 232 patients (24.0%) without COVID-19. COVID-19 infection was associated with significant mean QTc prolongation from baseline by both 5-day and 2-day multivariable models (5-day, patients with COVID-19: 20.81 [95% CI, 15.29 to 26.33] milliseconds; P < .001; patients without COVID-19: -2.01 [95% CI, -17.31 to 21.32] milliseconds; P = .93; 2-day, patients with COVID-19: 17.40 [95% CI, 12.65 to 22.16] milliseconds; P < .001; patients without COVID-19: 0.11 [95% CI, -12.60 to 12.81] milliseconds; P = .99). COVID-19 infection was independently associated with a modeled mean 27.32 (95% CI, 4.63-43.21) millisecond increase in QTc at 5 days compared with COVID-19-negative status (mean QTc, with COVID-19: 450.45 [95% CI, 441.6 to 459.3] milliseconds; without COVID-19: 423.13 [95% CI, 403.25 to 443.01] milliseconds; P = .01). More patients with COVID-19 not receiving hydroxychloroquine and azithromycin had QTc of 500 milliseconds or greater compared with patients without COVID-19 (34 of 136 [25.0%] vs 17 of 158 [10.8%], P = .002). Multivariable analysis revealed that age 80 years and older compared with those younger than 50 years (mean difference in QTc, 11.91 [SE, 4.69; 95% CI, 2.73 to 21.09]; P = .01), severe chronic kidney disease compared with no chronic kidney disease (mean difference in QTc, 12.20 [SE, 5.26; 95% CI, 1.89 to 22.51; P = .02]), elevated high-sensitivity troponin levels (mean difference in QTc, 5.05 [SE, 1.19; 95% CI, 2.72 to 7.38]; P < .001), and elevated lactate dehydrogenase levels (mean difference in QTc, 5.31 [SE, 2.68; 95% CI, 0.06 to 10.57]; P = .04) were associated with QTc prolongation. Torsades de pointes occurred in 1 patient (0.1%) with COVID-19. Conclusions and Relevance: In this cohort study, COVID-19 infection was independently associated with significant mean QTc prolongation at days 5 and 2 of hospitalization compared with day 0. More patients with COVID-19 had QTc of 500 milliseconds or greater compared with patients without COVID-19.

Indexed as

AzithromycinCOVID-19COVID-19 Drug TreatmentElectrocardiographyHydroxychloroquineLong QT SyndromeAged, 80 and overAnti-Infective AgentsCOVID-19 TestingDrug Therapy, CombinationFemaleHospitalizationHumansMaleMiddle AgedNew YorkAnti-Infective AgentsAzithromycinHydroxychloroquine

Identifiers

PMID33890991
PMCPMC8065381
OpenAlexW3153781393

What OpenQuestion holds

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LicenceCC BY
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.