Eun Jung Park

Ms. Eun Jung Park

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Research Focus & Metrics

Academic Career Length

17Years (2010-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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5 May 2020 in Toxins
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Journal Article
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EPEun Jung Park
Eun Jung Park
Sangchun ChoiSangchun Choi
Sangchun Choi
Hyuk-Hoon KIMHyuk-Hoon KIM
Hyuk-Hoon KIM
YJYoon Seok Jung
Yoon Seok Jung
Pit viper venom commonly causes venom-induced consumptive coagulopathy (VICC), which can be complicated by life-threatening hemorrhage. VICC has a complex pathophysiology affecting multiple steps of the coagulation pathway. Early detection of VICC is challenging because conventional blood tests such as prothrombin time (PT) and activated partial thromboplastin time (aPTT) are unreliable for early-stage monitoring of VICC progress. As the effects on the coagulation cascade may differ, even in the same species, the traditional coagulation pathways cannot fully explain the mechanisms involved in VICC or may be too slow to have any clinical utility. Antivenom should be promptly administered to neutralize the lethal toxins, although its efficacy remains controversial. Transfusion, including fresh frozen plasma, cryoprecipitate, and specific clotting factors, has also been performed in patients with bleeding. The effectiveness of viscoelastic monitoring in the treatment of VICC remains poorly understood. The development of VICC can be clarified using thromboelastography (TEG), which shows the procoagulant and anticoagulant effects of snake venom. Therefore, we believe that TEG may be able to be used to guide hemostatic resuscitation in victims of VICC. Here, we aim to discuss the advantages of TEG by comparing it with traditional coagulation tests and propose potential treatment options for VICC.

1 January 2016 in Journal of Korean Medical Science
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SHSung Oh Hwang
Sung Oh Hwang
KCKyoung-Chul Cha
Kyoung-Chul Cha
KKKyuseok Kim
Kyuseok Kim
YJYou Hwan Jo
You Hwan Jo
SCSung Phil Chung
Sung Phil Chung
ECEung Ho Choi
Eung Ho Choi
Hwang SO, et al. J Korean Med Sci. 2016 Sep;31(9):1491-1498. http://dx.doi.org/10.3346/jkms.2016.31.9.1491

1 January 2018 in Journal of Korean Medical Science
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EPEun Jung Park
Eun Jung Park
YMYoung-Gi Min
Young-Gi Min
Park EJ, et al. J Korean Med Sci. 2018 Jan;33(11):e52. https://doi.org/10.3346/jkms.2018.33.e52

1 January 2020 in Resuscitation
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Journal Article
Closed access
MCMinjung Kathy Chae
Minjung Kathy Chae
SLSung Eun Lee
Sung Eun Lee
YMYoung Gi Min
Young Gi Min
EPEun Jung Park
Eun Jung Park


28 December 2020 in Journal of Clinical Medicine
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Journal Article
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SLSung Eun Lee
Sung Eun Lee
Hyuk-Hoon KIMHyuk-Hoon KIM
Hyuk-Hoon KIM
MCMinjung Kathy Chae
Minjung Kathy Chae
EPEun Jung Park
Eun Jung Park
SCSangchun Choi
Sangchun Choi
Background: Postcardiac arrest patients with a return of spontaneous circulation (ROSC) are critically ill, and high body mass index (BMI) is ascertained to be associated with good prognosis in patients with a critically ill condition. However, the exact mechanism has been unknown. To assess the effectiveness of skeletal muscles in reducing neuronal injury after the initial damage owing to cardiac arrest, we investigated the relationship between estimated lean body mass (LBM) and the prognosis of postcardiac arrest patients. Methods: This retrospective cohort study included adult patients with ROSC after out-of-hospital cardiac arrest from January 2015 to March 2020. The enrolled patients were allocated into good- and poor-outcome groups (cerebral performance category (CPC) scores 1–2 and 3–5, respectively). Estimated LBM was categorized into quartiles. Multivariate regression models were used to evaluate the association between LBM and a good CPC score. The area under the receiver operating characteristic curve (AUROC) was assessed. Results: In total, 155 patients were analyzed (CPC score 1–2 vs. 3–5, n = 70 vs. n = 85). Patients’ age, first monitored rhythm, no-flow time, presumed cause of arrest, BMI, and LBM were different (p < 0.05). Fourth-quartile LBM (≥48.98 kg) was associated with good neurological outcome of postcardiac arrest patients (odds ratio = 4.81, 95% confidence interval (CI), 1.10–25.55, p = 0.04). Initial high LBM was also a predictor of good neurological outcomes (AUROC of multivariate regression model including LBM: 0.918). Conclusions: Initial LBM above 48.98kg is a feasible prognostic factor for good neurological outcomes in postcardiac arrest patients.