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COVİD-19 Hastalarında Başvuru Esnasında EKG’deki Özellikler Hastane içi Olayları Öngörebilir

Year 2021, Volume: 13 Issue: S1, 401 - 410, 30.08.2021
https://doi.org/10.18521/ktd.922646

Abstract

Amaç: COVID-19 hastalarında başvuru esnasındaki elektrokardiyografi (EKG) özellikleri ile tüm nedenlere bağlı hastane-içi mortalite ile tedavi üniteleri arasındaki ilişkiyi değerlendirmektir.
Gereç ve Yöntem: 15 Mart ile 17 Haziran 2020 tarihleri arasında gerçek zamanlı ters transkripsiyon polimeraz zincir reaksiyonu metodu ile şiddetli akut solunum sendromu koronavirüs 2 (SARS-CoV-2) tespit edilerek COVID-19 tanısı konulan ve hastaneye yatırılan toplam 172 ardışık hasta bu çalışmaya dahil edildi. Laboratuar parametleri ve EKG bulguları başvuru sırasında kaydedildi. Hastaneye ve yoğun bakım ünitesine (YBÜ) yatış kriterleri Türkiye Cumhuriyeti Sağlık Bakanlığı’nın geçici kılavuzuna göre belirlendi. Hastalar hastane içi mortalite durumlarına ve tedavi gördükleri birime göre gruplandırıldı.
Bulgular: Ortanca yaş mortalite grubunda ve YBÜ'de tedavi edilen hastalarda önemli ölçüde daha yüksekti (her ikisi için, p <0.05). P dispersiyonu, QRS süresi, QTc süresi ve QT dispersiyonu YBÜ’de tedavi edilen hastalarda önemli ölçüde daha uzundu (hepsi için, p <0.001). PR süresi, P dispersiyonu, QRS süresi, QT dispersiyonu ve QTc süresi mortalite grubunda önemli ölçüde daha uzundu (hepsi için p <0.05). QT dispersiyonu YBÜ başvurularını öngörürken QRS süresi COVID-19 hastalarında tüm nedenlere bağlı hastane-içi mortaliteyi öngördü.
Sonuç: Başvuru esnasındaki EKG bulguları, COVID-19 hastalarında tedavi birimleri ve tüm nedenlere bağlı hastane-içi mortalite ile bağımsız olarak ilişkilendirilebilir.

References

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

Year 2021, Volume: 13 Issue: S1, 401 - 410, 30.08.2021
https://doi.org/10.18521/ktd.922646

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.

References

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  • 23.Antzelevitch C, Shimizu W, Yan GX, Sicouri S. Cellular basis for QT dispersion. J Electrocardiol 1998;30 Suppl:168-75. doi: 10.1016/s0022-0736(98)80070-8.
  • 24. Bogun F, Chan KK, Harvey M, Goyal R, Castellani M, Niebauer M, et al. QT dispersion in nonsustained ventricular tachycardia and coronary artery disease. Am J Cardiol 1996;77:256-9. doi: 10.1016/s0002-9149(97)89389-7.
  • 25.Han J, Goel BG. Electrophysiologic precursors of ventricular tachyarrhythmias. Arch Intern Med. 1972;129:749–55.
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  • 27. Puljevic D, Smalcelj A, Durakovic Z, Goldner V. QT dispersion, daily variations, QT interval adaptation and late potentials as risk mark‐ ers for ventricular tachycardia. Eur Heart J 1997;18:1343-9. doi: 10.1093/oxfordjournals.eurheartj.a015448.
  • 28.Barr CS, Naas A, Freeman M, Lang CC, Struthers AD. QT dispersion and sudden unexpected death in chronic heart failure. Lancet 1994;343:327-9. doi: 10.1016/s0140-6736(94)91164-9.
  • 29 Bazoukis G, Yeung C, Wui Hang Ho R, Varrias D, Papadatos S, Lee S, et al. Association of QT dispersion with mortality and arrhythmic events-A meta-analysis of observational studies. J Arrhythm 2019;36:105-15. doi: 10.1002/joa3.12253.
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  • 31. Shi S, Qin M, Shen Bo, Cai Y, Liu T, Yang F, et al. Association of Cardiac Injury With Mortality in Hospitalized Patients With COVID-19 in Wuhan, China. JAMA Cardiol 2020;5:802-10. doi: 10.1001/jamacardio.2020.0950.
  • 32. Alabd AA, Fouad A, Abdel-Nasser R, Nammas W. QT interval dispersion pattern in patients with acute ischemic stroke: Does the site of infarction matter? Int J Angiol Winter 2009;18:177-81. doi: 10.1055/s-0031-1278349.
  • 33. Minisi AJ, Thames MD. Distribution of left ventricular sympathetic afferents demonstrated by reflex responses to transmural myocardial ischemia and to intracoronary and epicardial bradykinin. Circulation 1993;87:240-6. doi: 10.1161/01.cir.87.1.240.
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  • 36. Kelmanson IA. High anxiety in clinically healthy patients and increased QT dispersion: a meta-analysis. Eur J Prev Cardiol 2014;21:1568-74. doi:10.1177/2047487313501613.
  • 37. Hassan M, Mela A, Li Q, Brumback B, Fillingim RB, Conti JB, et al. The effect of acute psychological stress on QT dispersion in patients with coronary artery disease. Pacing Clin Electrophysiol 2009;32:1178-83. doi: 10.1111/j.1540-8159.2009.02462.x.
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There are 52 citations in total.

Details

Primary Language English
Subjects Health Care Administration
Journal Section Articles
Authors

Hazar Harbalıoğlu 0000-0002-6694-814X

Omer Genc 0000-0002-9097-5391

Gökhan Alıcı 0000-0002-4589-7566

Alaa Quisi 0000-0002-5862-5789

Abdullah Yıldırım 0000-0003-3175-0835

Publication Date August 30, 2021
Acceptance Date July 3, 2021
Published in Issue Year 2021 Volume: 13 Issue: S1

Cite

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