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"Byuk Sung Ko"

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"Byuk Sung Ko"

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COVID-19

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The impact of the COVID-19 pandemic on in-hospital mortality in patients admitted through the emergency department
Clin Exp Emerg Med. 2023;10(1):92-98.   Published online January 18, 2023
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The impact of the COVID-19 pandemic on in-hospital mortality in patients admitted through the emergency department
Clin Exp Emerg Med. 2023;10(1):92-98.   Published online January 18, 2023
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Objective
The COVID-19 pandemic might have adversely affected outcomes of patients in emergency departments (EDs). The aim of this study is to evaluate the impact of the COVID-19 pandemic on in patients admitted through the emergency department.
Methods
This study is a single-center, retrospective, observational cohort study. We compared the prognosis of patients admitted through the ED before the COVID-19 pandemic (November 2018 to June 2019) and after COVID-19 (November 2020 to June 2021). The primary outcome was in-hospital mortality. Multivariable logistic regression analysis was performed to determine whether the COVID-19 pandemic was independently associated with patient prognosis.
Results
The number of patients admitted through the ED before and after COVID-19 was 5,333 and 4,625, respectively. The mean ED length of stay before and after COVID-19 was 401 and 442 minutes, respectively (P<0.001). The number of in-hospital deaths before and after COVID-19 were 269 (5.0%) and 322 (7.0%), respectively (P<0.001). Multivariable logistic regression analysis showed that the COVID-19 period was significantly associated with higher in-hospital mortality (adjusted odds ratio, 1.37; 95% confidence interval, 1.12–1.67; P=0.002).
Conclusion
In the COVID-19 period, in-hospital mortality increased compared to that before COVID-19 among hospitalized ED patients.

Citations

Citations to this article as recorded by  Crossref logo
  • Comparison of the Characteristics of Korean Older Adults Who Returned to the Emergency Department Within 30 Days Before and During COVID-19: A Retrospective Study
    JuHee Lee, Hyun Sim Lee, Ji Young Choi, Hyun Soo Chung, Somin Sang, Jee-Hye Yoo
    Journal of Emergency Nursing.2025; 51(4): 721.     CrossRef
  • Impact of the COVID-19 pandemic on the emergency transportation of older patients: a population-based descriptive study in Osaka prefecture, Japan
    Kenta Tanaka, Yusuke Katayama, Tetsuhisa Kitamura, Hisaya Domi, Jun Oda, Tetsuya Matsuoka
    Frontiers in Public Health.2025;[Epub]     CrossRef
  • Impact of Point-of-Care Lactate Testing for Sepsis on Bundle Adherence and Clinical Outcomes in the Emergency Department: A Pre–Post Observational Study
    Sukyo Lee, Juhyun Song, Sungwoo Lee, Su Jin Kim, Kap Su Han, Sijin Lee
    Journal of Clinical Medicine.2024; 13(18): 5389.     CrossRef
  • Predictability of the emergency department triage system during the COVID-19 pandemic
    Se Young Oh, Ji Hwan Lee, Min Joung Kim, Dong Ryul Ko, Hyun Soo Chung, Incheol Park, Jinwoo Myung
    Clinical and Experimental Emergency Medicine.2024; 11(2): 195.     CrossRef
  • Impact of an Emergency Department Isolation Policy for Patients With Suspected COVID-19 on Door-to-Electrocardiography Time and Clinical Outcomes in Patients With Acute Myocardial Infarction
    Jinhee Kim, Joo Jeong, You Hwan Jo, Jin Hee Lee, Yu Jin Kim, Seung Min Park, Joonghee Kim
    Journal of Korean Medical Science.2023;[Epub]     CrossRef
  • Epidemiologic trends of patients who visited nationwide emergency departments: a report from the National Emergency Department Information System (NEDIS) of Korea, 2018–2022
    Hyun Ho Yoo, Young Sun Ro, Eunsil Ko, Jin-Hee Lee, So-hyun Han, Taerim Kim, Tae Gun Shin, Seongjung Kim, Hansol Chang
    Clinical and Experimental Emergency Medicine.2023; 10(S): S1.     CrossRef
  • Characteristics of pediatric emergency department visits before and during the COVID-19 pandemic: a report from the National Emergency Department Information System (NEDIS) of Korea, 2018–2022
    Jin Hyuck Hong, So Hyun Paek, Taerim Kim, Seongjung Kim, Eunsil Ko, Young Sun Ro, Jungeon Kim, Jae Hyun Kwon
    Clinical and Experimental Emergency Medicine.2023; 10(S): S13.     CrossRef
  • 6,814 View
  • 170 Download
  • 6 Web of Science
  • 7 Crossref

Gastrointestinal

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Association of inferior vena cava diameter ratio with outcomes in patients with gastrointestinal bleeding
Clin Exp Emerg Med. 2022;9(2):101-107.   Published online June 10, 2022
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Association of inferior vena cava diameter ratio with outcomes in patients with gastrointestinal bleeding
Clin Exp Emerg Med. 2022;9(2):101-107.   Published online June 10, 2022
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Objective
To examine the association of inferior vena cava (IVC) diameter ratio measured using computed tomography with outcomes in patients with gastrointestinal bleeding (GIB).
Methods
A single-center retrospective observational study was conducted on consecutive patients with GIB who presented to the emergency department. The IVC diameter ratio was calculated by dividing the maximum transverse and anteroposterior diameters perpendicular to it. The association of the IVC diameter ratio with outcomes was examined using multivariable logistic regression analysis. The primary outcome was in-hospital mortality. The area under the receiver operator characteristic curve (AUC) of the IVC diameter ratio was calculated, and the sensitivity and specificity, including the cutoff values, were computed.
Results
In total, 585 patients were included in the final analysis. The in-hospital mortality rate was 4.6% (n=27). The IVC diameter ratio was significantly associated with higher in-hospital mortality in multivariable logistic regression analysis (odds ratio, 1.793; 95% confidence interval [CI], 1.239–2.597; P=0.002). The AUC of the IVC diameter ratio for in-hospital mortality was 0.616 (95% CI, 0.498–0.735). With a cutoff of the IVC diameter ratio (≥2.1), the sensitivity and specificity for predicting in-hospital mortality were 44% (95% CI, 26%–65%) and 71% (95% CI, 67%–75%), respectively.
Conclusion
The IVC diameter ratio was independently associated with in-hospital mortality in patients with GIB. However, the AUC of the IVC diameter ratio for in-hospital mortality was low.

Citations

Citations to this article as recorded by  Crossref logo
  • Can point-of-care ultrasound improve the predictive accuracy of early warning scores in critically ill emergency department patients?: A prospective observational study
    Süreyya Tuba Fettahoğlu, Serkan Doğan, Salih Fettahoğlu, Melih Uçan, Bilal Yeniyurt, Vildan Avcu, Efe Demir Bala, Utku Murat Kalafat
    Medicine.2026; 105(7): e47663.     CrossRef
  • 7,250 View
  • 228 Download
  • 1 Web of Science
  • 1 Crossref

Toxicology

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Diagnostic performance and optimal cut-off values of cardiac biomarkers for predicting cardiac injury in carbon monoxide poisoning
Clin Exp Emerg Med. 2020;7(3):183-189.   Published online September 30, 2020
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Diagnostic performance and optimal cut-off values of cardiac biomarkers for predicting cardiac injury in carbon monoxide poisoning
Clin Exp Emerg Med. 2020;7(3):183-189.   Published online September 30, 2020
Close
Objective
This study aimed to compare the diagnostic performance of cardiac biomarkers and to evaluate the optimal cut-off values for echocardiographic cardiac injury prediction in patients with carbon monoxide (CO) poisoning.
Methods
This retrospective observational cohort study included adult patients with acute CO poisoning. Patients who did not undergo transthoracic echocardiography, which was used to define patients with cardiac injury (ejection fraction <55%), were excluded. The area under the curve was used to evaluate diagnostic performance for cardiac injury prediction. Mann-Whitney U, chi-square, and Fisher exact tests were used to analyze data.
Results
After excluding the 27 patients who did not undergo echocardiography, 114 patients were included in the study. Fifteen (13.2%) patients had cardiac injury. The area under the curve values for the B-type natriuretic peptide, creatine kinase-myocardial band, and troponin I were 0.711 (95% confidence interval [CI], 0.527–0.895; P=0.011), 0.766 (95% CI, 0.607–0.926; P=0.001), and 0.801 (95% CI, 0.647–0.955; P<0.001), respectively, with optimal cut-off values of 330 pg/mL, 10.1 ng/mL, and 0.455 ng/mL, respectively. The sensitivity, specificity, and positive and negative predictive values of troponin I were 67%, 91%, 53%, and 95%, respectively.
Conclusion
Troponin I showed the best diagnostic performance for predicting cardiac injury in patients with CO poisoning. A cut-off value of 0.455 ng/mL appeared optimal for cardiac injury prediction. However, further studies on cardiac biomarkers and other diagnostic tools in CO poisoning are needed given the low sensitivity of troponin I.

Citations

Citations to this article as recorded by  Crossref logo
  • Risk stratification for myocardial injury and mortality in acute carbon monoxide poisoning: a multivariable predictive model
    Yongai Ling, Changsheng Ye, Xianwei Xiong, Huihua Huang, Weiguang Wang
    Inhalation Toxicology.2026; 38(5): 268.     CrossRef
  • Development of a risk prediction nomogram for delayed neuropsychiatric sequelae in patients with acute carbon monoxide poisoning
    Ghada N. El-Sarnagawy, Fatma M. Elgazzar, Mona M. Ghonem
    Inhalation Toxicology.2024; 36(6): 406.     CrossRef
  • Multiplexed SERS Detection of Serum Cardiac Markers Using Plasmonic Metasurfaces
    Peng Zheng, Lintong Wu, Piyush Raj, Jeong Hee Kim, Santosh Kumar Paidi, Steve Semancik, Ishan Barman
    Advanced Science.2024;[Epub]     CrossRef
  • The effect of full blood count and cardiac biomarkers on prognosis in carbon monoxide poisoning in children
    Sevcan İpek, Ufuk Utku Güllü, Şükrü Güngör, Şeyma Demiray
    Irish Journal of Medical Science (1971 -).2023; 192(5): 2457.     CrossRef
  • What is New in Eurasian Journal of Emergency Medicine-Long-term Cardiac Effect of Carbon Monoxide Poisoning
    İsa Kılıçaslan
    Eurasian Journal of Emergency Medicine.2023; 22(2): 63.     CrossRef
  • MYOGLOBIN vs. HEMOGLOBIN BLOCKADE MODEL RELATED SMOKE GAS INHALATION - A COMPUTATIONAL ANALYSIS
    LUCIANA TEODORA ROTARU, RENATA MARIA VARUT, FLAVIUS TRUICU, ALINA GIRNICEANU, MARIA FORTOFOIU, CRISTIAN CONSTANTIN
    Journal of Science and Arts.2022; 22(3): 711.     CrossRef
  • Prediction of troponin I and N-terminal pro-brain natriuretic peptide levels in acute carbon monoxide poisoning using advanced electrocardiogram analysis, Alexandria, Egypt
    Manal Hassan Abdel Aziz, Fatma Mohamed Magdy Badr El Dine, Heba Abdel Samie Mohamed Hussein, Ahmed Mokhtar Abdelazeem, Israa Mahmoud Sanad
    Environmental Science and Pollution Research.2021; 28(35): 48754.     CrossRef
  • 8,282 View
  • 106 Download
  • 7 Web of Science
  • 7 Crossref