Evidence map›Paper›PMID 35197659›Full record

ArticleActa informatica medica : AIM : journal of the Society for Medical Informatics of Bosnia & Herzegovina : casopis Drustva za medicinsku informatiku BiH2021

The Value and Applicability of the Electrocardiography in Revealing the Cardiac Involvement of COVID-19 Patients.

Sukaina Alrawashdeh, Nasr Alrabadi, Omar Obeidat, Nizar Alnabahneh, Fares Abu Zanouneh, Zain Almomani, Mohammad Aldalahmeh, Rasheed Ibdah, Basheer Khassawneh

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Article in Acta informatica medica : AIM : journal of the Society for Medical Informatics of Bosnia & Herzegovina : casopis Drustva za medicinsku informatiku BiH, 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
0.1field-weighted citation impact, top 55% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. Review
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

9 authors at 1 institution in 1 country.

Sukaina AlrawashdehDivision of Cardiology, Department of Internal Medicine, Faculty of Medicine, Jordan University of Science and Technology, Irbid, Jordan.
Nasr AlrabadiDepartment of Pharmacology, Faculty of Medicine, Jordan University of Science and Technology, Irbid, Jordan.
Omar ObeidatDivision of Cardiology, Department of Internal Medicine, Faculty of Medicine, Jordan University of Science and Technology, Irbid, Jordan.
Nizar AlnabahnehDivision of Cardiology, Department of Internal Medicine, Faculty of Medicine, Jordan University of Science and Technology, Irbid, Jordan.
Fares Abu ZanounehDivision of Cardiology, Department of Internal Medicine, Faculty of Medicine, Jordan University of Science and Technology, Irbid, Jordan.
Zain AlmomaniDivision of Cardiology, Department of Internal Medicine, Faculty of Medicine, Jordan University of Science and Technology, Irbid, Jordan.
Mohammad AldalahmehDivision of Cardiology, Department of Internal Medicine, Faculty of Medicine, Jordan University of Science and Technology, Irbid, Jordan.
Rasheed IbdahDivision of Cardiology, Department of Internal Medicine, Faculty of Medicine, Jordan University of Science and Technology, Irbid, Jordan.
Basheer KhassawnehDepartment of Internal Medicine, Faculty of Medicine, Jordan University of Science and Technology, Irbid, Jordan.
Jordan University of Science and Technology · JO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCOVID-19 may have a role in myocardial injury in some patients, which can lead to multiple cardiovascular consequences. Electrocardiography (ECG) is useful to detect cardiac involvement of COVID-19.

objectiveIn this study, we aimed to identify the pattern of ECG findings in COVID-19 patients.

methodsWe retrospectively evaluated the clinical data of 176 patients diagnosed with COVID-19 along with their ECG findings on admission and during hospitalization.

resultsOut of 176 patients, 56.8% were males. The mean age of the patients was 64.4 (SD: 15.4) years. Twenty-five patients were obese (Body mass index "BMI" > 30). Comorbidities including hypertension, diabetes mellitus, and coronary artery disease were found in 70.5%, 52.3%, and 24.4% of patients, respectively. Only 17% of patients had normal ECG readings, and the rest had abnormalities of various types. Heart rate was normal in 67.6% of patients, the rest were tachycardiac (29.0%) or bradycardiac (3.4%). Findings included a widened QRS complex in 6.2% of patients, 79.0% of patients had a prolonged PR interval, and 9.1% had a prolonged QT interval. The most common ECG abnormalities were sinus tachycardia (20.5%) and atrial fibrillation (18.2%). We found a correlation between mortality and atrial fibrillation (p=0.021) and ventricular premature contraction (p=0.007). As for complications, atrial fibrillation and sinus tachycardia were significantly correlated with major complications including death, need for positive pressure ventilation (PPV), intensive care unit (ICU) admission, myocardial infarction, and acute respiratory distress syndrome (ARDS).

conclusionECG is a robust indicator of myocardial involvement of the COVID-19 patients. This study highlighted the diagnostic and prognostic importance of conducting ECG on admission and during hospitalization for COVID-19 patients. More investigation is required to determine the diagnostic accuracy and prognostic value of this modality.

Indexed as

Cardiac AbnormalitiesCOVID-19ECGMortalityPrognosisSurvival

Identifiers

PMID35197659
PMCPMC8800571
OpenAlexW4205513139

What OpenQuestion holds

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Registered trials

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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.