Evidence map›Paper›PMID 33792080›Full record

ArticlePacing and clinical electrophysiology : PACE2021

Prolonged QT predicts prognosis in COVID-19.

Zaki Akhtar, Mark M Gallagher, Yee Guan Yap, Lisa W M Leung, Ahmed I Elbatran, Brendan Madden, Victoria Ewasiuk, Louise Gregory, Aodhan Breathnach, Zhong Chen and 2 more

Abstract readComment
In one paragraph

Article in Pacing and clinical electrophysiology : PACE, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

18 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  11. Medium-Term Outcomes in COVID-19.Journal of clinical medicine · 2022
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  16. Prevalence of bradyarrhythmias needing pacing in COVID-19.Pacing and clinical electrophysiology : PACE · 2021
    Article
  17. Prolonged QT predicts prognosis in COVID-19.Pacing and clinical electrophysiology : PACE · 2021
    Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors.

Zaki AkhtarDepartment of Cardiology, Ashford and St Peter's NHS trust, Chertsey, Surrey, UK.ORCID 0000-0002-9365-8826
Mark M GallagherDepartment of Cardiology, Ashford and St Peter's NHS trust, Chertsey, Surrey, UK.ORCID 0000-0002-6333-6420
Yee Guan YapDepartment of Cardiology, Sunway Medical Centre, Sunway City, Selangor, Malaysia.
Lisa W M LeungDepartment of Cardiology, St George's University Hospital, London, UK.
Ahmed I ElbatranDepartment of Cardiology, St George's University Hospital, London, UK.
Brendan MaddenDepartment of Cardiology, St George's University Hospital, London, UK.
Victoria EwasiukDepartment of Cardiology, Ashford and St Peter's NHS trust, Chertsey, Surrey, UK.
Louise GregoryDepartment of Cardiology, Ashford and St Peter's NHS trust, Chertsey, Surrey, UK.
Aodhan BreathnachDepartment of Cardiology, St George's University Hospital, London, UK.
Zhong ChenDepartment of Cardiology, Ashford and St Peter's NHS trust, Chertsey, Surrey, UK.
David S FluckDepartment of Cardiology, Ashford and St Peter's NHS trust, Chertsey, Surrey, UK.
Sumeet SharmaDepartment of Cardiology, Ashford and St Peter's NHS trust, Chertsey, Surrey, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCoronavirus disease-2019 (COVID-19) causes severe illness and multi-organ dysfunction. An abnormal electrocardiogram is associated with poor outcome, and QT prolongation during the illness has been linked to pharmacological effects. This study sought to investigate the effects of the COVID-19 illness on the corrected QT interval (QTc).

methodFor 293 consecutive patients admitted to our hospital via the emergency department for COVID-19 between 01/03/20 -18/05/20, demographic data, laboratory findings, admission electrocardiograph and clinical observations were compared in those who survived and those who died within 6 weeks. Hospital records were reviewed for prior electrocardiograms for comparison with those recorded on presentation with COVID-19.

resultsPatients who died were older than survivors (82 vs 69.8 years, p < 0.001), more likely to have cancer (22.3% vs 13.1%, p = 0.034), dementia (25.6% vs 10.7%, p = 0.034) and ischemic heart disease (27.8% vs 10.7%, p < 0.001). Deceased patients exhibited higher levels of C-reactive protein (244.6 mg/L vs 146.5 mg/L, p < 0.01), troponin (1982.4 ng/L vs 413.4 ng/L, p = 0.017), with a significantly longer QTc interval (461.1 ms vs 449.3 ms, p = 0.007). Pre-COVID electrocardiograms were located for 172 patients; the QTc recorded on presentation with COVID-19 was longer than the prior measurement in both groups, but was more prolonged in the deceased group (448.4 ms vs 472.9 ms, pre-COVID vs COVID, p < 0.01). Multivariate Cox-regression analysis revealed age, C-reactive protein and prolonged QTc of >455 ms (males) and >465 ms (females) (p = 0.028, HR 1.49 [1.04-2.13]), as predictors of mortality. QTc prolongation beyond these dichotomy limits was associated with increased mortality risk (p = 0.0027, HR 1.78 [1.2-2.6]).

conclusionQTc prolongation occurs in COVID-19 illness and is associated with poor outcome.

Indexed as

COVID-19Long QT SyndromeAzithromycinElectrocardiographyFemaleHumansHydroxychloroquineMalePrognosisSARS-CoV-2AzithromycinHydroxychloroquineCOVID-19electrocardiogrammortalityprolonged QTcSars-Cov-2

Identifiers

PMID33792080
PMCPMC8251438

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.