Evidence map›Paper›PMID 34734814›Full record

ArticleAnatolian journal of cardiology2021

Does coexistence of fragmented QRS and cardiovascular disease have the ability to predict the mortality in hospitalized, critically ill patients with COVID-19?

Fahrettin Katkat, Muhsin Kalyoncuoğlu, Serkan Karahan, Hanife Abanus, Fatma Nihan Turhan Çağlar, Dilay Karabulut, Sinan Varol, İrfan Şahin, Kerem Erkalp, Ertuğrul Okuyan

Abstract read
In one paragraph

Article in Anatolian journal of cardiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–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

1 citing paper in PubMed.

  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.

Fahrettin KatkatDepartment of Cardiology, Division of Critical Care, University of Health Sciences, Bağcılar Training and Research Hospital; İstanbul-Turkey.
Muhsin KalyoncuoğluDepartment of Cardiology, University of Health Sciences, Haseki Training and Research Hospital; İstanbul-Turkey.
Serkan KarahanDepartment of Cardiology, Division of Critical Care, University of Health Sciences, Bağcılar Training and Research Hospital; İstanbul-Turkey.
Hanife AbanusDepartment of Cardiology, Division of Critical Care, University of Health Sciences, Bağcılar Training and Research Hospital; İstanbul-Turkey.
Fatma Nihan Turhan ÇağlarDepartment of Cardiology, University of Health Sciences, Bakırköy Sadi Konuk Training and Research Hospital; İstanbul-Turkey.
Dilay KarabulutDepartment of Cardiology, University of Health Sciences, Bakırköy Sadi Konuk Training and Research Hospital; İstanbul-Turkey.
Sinan VarolDepartment of Cardiology, Division of Critical Care, University of Health Sciences, Bağcılar Training and Research Hospital; İstanbul-Turkey.
İrfan ŞahinDepartment of Cardiology, Division of Critical Care, University of Health Sciences, Bağcılar Training and Research Hospital; İstanbul-Turkey.
Kerem ErkalpDepartment of Anaesthesiology, Division of Critical Care, University of Health Sciences, Bağcılar Training and Research Hospital; İstanbul-Turkey.
Ertuğrul OkuyanDepartment of Cardiology, Division of Critical Care, University of Health Sciences, Bağcılar Training and Research Hospital; İstanbul-Turkey.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveIn this study, we aimed to investigate the prognostic accuracy of the presence of fragmented QRS (fQRS) on baseline electrocardiogram on the adverse outcome in critical patients with coronavirus disease 2019 (COVID-19) with cardiovascular disease (CVD).

methodsThe current study was retrospective designed and included 169 patients who were critically ill with COVID-19 and CVD (mean age of 62±15 years). The patients were grouped into those who died (non-survivor group) and those who survived (survivor group).

resultsThe non-survivors were older and more often had CVD (p=0.009), hypertension (p=0.046), diabetes (p=0.048), cancer (p=0.023), and chronic renal failure (p=0.001). Although the presence of fQRS on the basal electrocardiogram was more common in patients who died, this was not statistically significant (p=0.059). Furthermore, non-survivors had more frequent the coexistence of CVD and fQRS (p=0.029). In Model 1 multivariate regression analysis, CVD alone was not a predictor of mortality (p=0.078), whereas coexistence of CVD and fQRS was found to be an independent predictor of mortality in Model 2 analysis [hazard ratio (HR): 2.243; p=0.003]. Furthermore, older age (HR: 1.022; p=0.006 and HR: 1.023; p=0.005), cancer (HR: 1.912; p=0.021 and HR: 1.858; p=0.031), high SOFA score (HR: 1.177; p=0.003 and HR: 1.215; p<0.001), and increased CRP level (HR: 1.003; p=0.039 and HR: 1.003; p=0.027) independently predicted the mortality in both multivariate analysis models, respectively.

conclusionfQRS may be a useful and handy risk-stratification tool for clinical outcomes by identifying high-risk individuals, especially among those with CVD.

Indexed as

Cardiovascular DiseasesCOVID-19AgedCritical IllnessElectrocardiographyHumansMiddle AgedPredictive Value of TestsRetrospective StudiesSARS-CoV-2

Identifiers

PMID34734814
PMCPMC8575402

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.