Acute and Critical Care

Hun Jae Lee

2 Articles

Structure of Intensive Care Unit and Clinical Outcomes in Critically Ill Patients with Influenza A/H1N1 2009: Jaehwa Cho, Hun Jae Lee, Sang Bum Hong, Gee Young Suh, Moo Suk Park, Seok Chan Kim, Sang Hyun Kwak, Myung Goo Lee, Jae Min Lim, Huyn Kyung Lee, Younsuck Koh; Korean J Crit Care Med. 2012;27(2):65-69.; DOI: https://doi.org/10.4266/kjccm.2012.27.2.65

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BACKGROUND
During 2009 pandemic period, many Koreans were infected and admitted with Influenza A/H1N1. The primary aim of this study was to evaluate whether the structures of an intensive care unit (ICU) were associated with the outcomes of critically ill patients.
METHODS
This retrospective observational study examined critically ill adult patients with influenza A/H1N1, who were admitted to 24 hospitals in Korea, from September 2009 to February 2010. We collected data of ICU structure, patients and 90 days mortality. Univariate and multivariate logistic regression analysis, with backward elimination, were performed to determine the most significant risk factors.
RESULTS
Of the 239 patients, mortality of 90 days was 43%. Acute physiology and chronic health evaluation (APACHE) II score (p < 0.001), sequential organ failure assessment (SOFA) score (p < 0.0001), nurse to beds ratio (p = 0.039) and presence of intensivist (p = 0.024) were significant risk factors of 90 days mortality. Age (p = 0.123), gender (p = 0.304), hospital size (p = 0.260), and ICU type (p = 0.409) were insignificantly associated with mortality. In a multivariate logistic regression analysis, patients with less than 6 SOFA score had significantly lower mortality, compared with those with more than 10 SOFA score (odds ratio 0.156, p < 0.0001). The presence of intensivist had significantly lower mortality, compared with the absence (odds ratio 0.496, p = 0.026).
CONCLUSIONS
In critically ill patients with influenza A/H1N1, the severity of the illness and presence of intensivist might be associated with 90 days mortality.

Citations

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A population-based observational study of patients with pulmonary disorders in intensive care unit
Hyun Woo Lee, Eunjeong Ji, Soyeon Ahn, Hye-Joo Yang, Seo-Young Yoon, Tae Yeon Park, Yeon Joo Lee, Jinwoo Lee, Sang-Min Lee, Seung-Hye Choi, Young-Jae Cho
The Korean Journal of Internal Medicine.2020; 35(6): 1411. CrossRef
Novel respiratory infectious diseases in Korea
Hyun Jung Kim
Yeungnam University Journal of Medicine.2020; 37(4): 286. CrossRef
Impact of the mother–nurse partnership programme on mother and infant outcomes in paediatric cardiac intensive care unit
Ju-Yeon Uhm, Hee Soon Kim
Intensive and Critical Care Nursing.2019; 50: 79. CrossRef
Major Obstacles to Implement a Full-Time Intensivist in Korean Adult ICUs: a Questionnaire Survey
Jun Wan Lee, Jae Young Moon, Seok Wha Youn, Yong Sup Shin, Sang Il Park, Dong Chan Kim, Younsuk Koh
Korean Journal of Critical Care Medicine.2016; 31(2): 111. CrossRef
Critical Care In Korea: Present and Future
Chae-Man Lim, Sang-Hyun Kwak, Gee Young Suh, Younsuck Koh
Journal of Korean Medical Science.2015; 30(11): 1540. CrossRef
Intensivist Physician Staffing in Intensive Care Units
Sunghoon Park, Gee Young Suh
Korean Journal of Critical Care Medicine.2013; 28(1): 1. CrossRef

Outcome after Admission to Intensive Care Unit Following Out-of-Hospital Cardiac Arrest: Comparison between Cardiac Etiology and Non-Cardiac Etiology: Hwan Seok Kang, Hun Jae Lee, Jae Hwa Cho, Jin Hui Paik, Ji Hye Kim, Jun Sig Kim, Seung Baik Han; Korean J Crit Care Med. 2010;25(4):212-218.; DOI: https://doi.org/10.4266/kjccm.2010.25.4.212

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Abstract PDF

BACKGROUND
To evaluate the post-resuscitation intensive care unit outcome of patients who initially survived out-of-hospital cardiac arrest (OHCA).
METHODS
We retrospectively analyzed patients who were admitted to the ICU after OHCA in a tertiary hospital between January, 2005 and December, 2009. We compared the patients' clinical data, the factors associated with admission and the prognosis of patients in cardiac and non-cardiac groups.
RESULTS
Sixty-four patients were included in this study. Thirty-four patients were in the cardiac group and thirty patients were in the non-cardiac group. The mean age was 57.3 +/- 15.1 years of age in the cardiac group and 61.9 +/- 15.7 years of age in the non-cardiac group (p = 0.235). The collapse-to-start of the CPR interval was 5.9 +/- 3.8 min in the cardiac group and 6.0 +/- 3.2 min in the non-cardiac group (p = 0.851). The complaint of chest pain occurred in 12 patients (35.3%) in the cardiac group and 1 patient (3.3%) in the non-cardiac group (p = 0.011). The time duration for making a decision for admission was 285.2 +/- 202.2 min in the cardiac group and 327.7 +/- 264.1 min in the non-cardiac group (p = 0.471). The regional wall motion abnormality and ejection fraction decrease were significant in the cardiac group (p = 0.002, 0.030). Grade 5 CPC was present in 8 patients (23.5%) in the cardiac group and 14 patients (46.7%) in the non-cardiac group.
CONCLUSIONS
The key symptom that could initially differentiate the two groups was chest pain. The time duration for making an admission decision was long in both groups. The CPC score of the cardiac group was lower than that for the non-cardiac group.

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Management of post-cardiac arrest syndrome
Youngjoon Kang
Acute and Critical Care.2019; 34(3): 173. CrossRef

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