Research Article

Features on ECG During Admission May Predict in-hospital Events for COVID-19 Patients

Volume: 13 Number: S1 August 30, 2021
TR EN

Features on ECG During Admission May Predict in-hospital Events for COVID-19 Patients

Abstract

Objective: To evaluate the association of ECG features obtained on admission with treating units and in-hospital all-cause mortality in COVID-19 patients. Methods: A total of 172 consecutive hospitalized patients with COVID-19 diagnosed by detecting severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) with real-time reverse-transcription polymerase chain reaction (RT-PCR) method between 15 May and 17 June 2020 were enrolled in the study. Laboratory parameters and findings on ECG obtained during admission were recorded. Criteria for hospitalization and intensive care unit (ICU) admission were determined in accordance with interim guidance of the Republic of Turkey Ministry of Health and the World Health Organization. Patients were grouped according to their in-hospital mortality status, survivors and non-surviors and units where patients are treated, intensive care unit and in-patient room. Results: The median age was significantly higher in the non-survivors group and, in the patients treated in ICU (p<0.05, for both). PR duration, P dispersion, QRS duration, QTc duration, and QT dispersion were significantly longer in patients treated in the ICU (p <0.001, for all), whilst PR duration, P dispersion, QRS duration, QT dispersion and QTc interval were significantly longer in the non-survivors group (p<0.05, for all). QT dispersion (OR: 1.093, 95% Cl: 1.018 + 1.174, p = 0.014) predicted admission to ICU, whereas QRS duration (OR: 1.045, 95% Cl: 1.000-1.091, p = 0.049) predicted in-hospital all-cause mortality in patients with COVID-19. Conclusion: Findings on ECG during admission could be independently associated with treating units and in-hospital all-cause mortality in COVID-19 patients.

Keywords

References

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Details

Primary Language

English

Subjects

Health Care Administration

Journal Section

Research Article

Publication Date

August 30, 2021

Submission Date

April 20, 2021

Acceptance Date

July 3, 2021

Published in Issue

Year 2021 Volume: 13 Number: S1

APA
Harbalıoğlu, H., Genc, O., Alıcı, G., Quisi, A., & Yıldırım, A. (2021). Features on ECG During Admission May Predict in-hospital Events for COVID-19 Patients. Konuralp Medical Journal, 13(S1), 401-410. https://doi.org/10.18521/ktd.922646
AMA
1.Harbalıoğlu H, Genc O, Alıcı G, Quisi A, Yıldırım A. Features on ECG During Admission May Predict in-hospital Events for COVID-19 Patients. Konuralp Medical Journal. 2021;13(S1):401-410. doi:10.18521/ktd.922646
Chicago
Harbalıoğlu, Hazar, Omer Genc, Gökhan Alıcı, Alaa Quisi, and Abdullah Yıldırım. 2021. “Features on ECG During Admission May Predict In-Hospital Events for COVID-19 Patients”. Konuralp Medical Journal 13 (S1): 401-10. https://doi.org/10.18521/ktd.922646.
EndNote
Harbalıoğlu H, Genc O, Alıcı G, Quisi A, Yıldırım A (August 1, 2021) Features on ECG During Admission May Predict in-hospital Events for COVID-19 Patients. Konuralp Medical Journal 13 S1 401–410.
IEEE
[1]H. Harbalıoğlu, O. Genc, G. Alıcı, A. Quisi, and A. Yıldırım, “Features on ECG During Admission May Predict in-hospital Events for COVID-19 Patients”, Konuralp Medical Journal, vol. 13, no. S1, pp. 401–410, Aug. 2021, doi: 10.18521/ktd.922646.
ISNAD
Harbalıoğlu, Hazar - Genc, Omer - Alıcı, Gökhan - Quisi, Alaa - Yıldırım, Abdullah. “Features on ECG During Admission May Predict In-Hospital Events for COVID-19 Patients”. Konuralp Medical Journal 13/S1 (August 1, 2021): 401-410. https://doi.org/10.18521/ktd.922646.
JAMA
1.Harbalıoğlu H, Genc O, Alıcı G, Quisi A, Yıldırım A. Features on ECG During Admission May Predict in-hospital Events for COVID-19 Patients. Konuralp Medical Journal. 2021;13:401–410.
MLA
Harbalıoğlu, Hazar, et al. “Features on ECG During Admission May Predict In-Hospital Events for COVID-19 Patients”. Konuralp Medical Journal, vol. 13, no. S1, Aug. 2021, pp. 401-10, doi:10.18521/ktd.922646.
Vancouver
1.Hazar Harbalıoğlu, Omer Genc, Gökhan Alıcı, Alaa Quisi, Abdullah Yıldırım. Features on ECG During Admission May Predict in-hospital Events for COVID-19 Patients. Konuralp Medical Journal. 2021 Aug. 1;13(S1):401-10. doi:10.18521/ktd.922646

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