Acute and Critical Care

Yong Su Lim

4 Articles

Neurology/Emergency
Prognostic Value and Optimal Sampling Time of S-100B Protein for Outcome Prediction in Cardiac Arrest Patients Treated with Therapeutic Hypothermia: Hyung Seok Kim, Ho Sung Jung, Yong Su Lim, Jae Hyug Woo, Jae Ho Jang, Jee Yong Jang, Hyuk Jun Yang; Korean J Crit Care Med. 2014;29(4):304-312. Published online November 30, 2014; DOI: https://doi.org/10.4266/kjccm.2014.29.4.304

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BACKGROUND
The aim of this study was to determine the prognostic value and optimal sampling time of serum S-100B protein for the prediction of poor neurological outcomes in post-cardiac arrest (CA) patients treated with therapeutic hypothermia (TH).
METHODS
We prospectively measured serum S100 calcium binding protein beta subunit (S-100B protein) levels 12 times (0-96 hours) after the return of spontaneous circulation (ROSC). The patients were classified into two groups based on cerebral performance category (CPC): the good neurological outcome group (CPC 1-2 at 6 months) and the poor neurological outcome group (CPC 3-5). We compared serial changes and serum S-100B protein levels at each time point between the two groups and performed receiver operating characteristic curve analysis for the prediction of poor neurological outcomes.
RESULTS
A total of 40 patients were enrolled in the study. S-100B protein levels peaked at ROSC (0 hour), decreased rapidly to 6 hours and maintained a similar level thereafter. Serum S-100B protein levels in the poor CPC group (n = 22) were significantly higher than in the good CPC group (n = 18) at all time points after ROSC except at 4 hours. The time points with highest area under curve were 24 (0.829) and 36 (0.837) hours. The cut-off value, the sensitivity (24/36 hours) and specificity (24/36 hours) for the prediction of poor CPC at 24 and 48 hours were 0.221/0.249 ug/L, 75/65% and 82.4/94.1%, respectively.
CONCLUSIONS
Serum S-100B protein was an early and useful marker for the prediction of poor neurological outcomes in post-CA patients treated with TH and the optimal sampling times were 24 and 36 hours after ROSC.

Citations

Citations to this article as recorded by

The first national survey on practices of neurological prognostication after cardiac arrest in China, still a lot to do
Lanfang Du, Kang Zheng, Lu Feng, Yu Cao, Zhendong Niu, Zhenju Song, Zhi Liu, Xiaowei Liu, Xudong Xiang, Qidi Zhou, Hui Xiong, Fengying Chen, Guoqiang Zhang, Qingbian Ma
International Journal of Clinical Practice.2021;[Epub] CrossRef
Management of post-cardiac arrest syndrome
Youngjoon Kang
Acute and Critical Care.2019; 34(3): 173. CrossRef

Neurology/Emergency
Acute Physiologic and Chronic Health Examination II and Sequential Organ Failure Assessment Scores for Predicting Outcomes of Out-of-Hospital Cardiac Arrest Patients Treated with Therapeutic Hypothermia: Sung Joon Kim, Yong Su Lim, Jin Seong Cho, Jin Joo Kim, Won Bin Park, Hyuk Jun Yang; Korean J Crit Care Med. 2014;29(4):288-296. Published online November 30, 2014; DOI: https://doi.org/10.4266/kjccm.2014.29.4.288

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Abstract PDF

BACKGROUND
The aim of this study was to assess the relationship between acute physiologic and chronic health examination (APACHE) II and sequential organ failure assessment (SOFA) scores and outcomes of post-cardiac arrest patients treated with therapeutic hypothermia (TH).
METHODS
Out-of-hospital cardiac arrest (OHCA) survivors treated with TH between January 2010 and December 2012 were retrospectively evaluated. We captured all components of the APACHE II and SOFA scores over the first 48 hours after intensive care unit (ICU) admission (0 h). The primary outcome measure was in-hospital mortality and the secondary outcome measure was neurologic outcomes at the time of hospital discharge. Receiver-operating characteristic and logistic regression analysis were used to determine the predictability of outcomes with serial APACHE II and SOFA scores.
RESULTS
A total of 138 patients were enrolled in this study. The area under the curve (AUC) for APACHE II scores at 0 h for predicting in-hospital mortality and poor neurologic outcomes (cerebral performance category: 3-5) was more than 0.7, and for SOFA scores from 0 h to 48 h the AUC was less than 0.7. Odds ratios used to determine associations between APACHE II scores from 0 h to 48 h and in-hospital mortality were 1.12 (95% confidence interval [CI], 1.03-1.23), 1.13 (95% CI, 1.04-1.23), and 1.18 (95% CI, 1.07-1.30).
CONCLUSIONS
APACHE II, but not SOFA score, at the time of ICU admission is a modest predictor of in-hospital mortality and poor neurologic outcomes at the time of hospital discharge for patients who have undergone TH after return of spontaneous circulation following OHCA.

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Multiorgan failure in patients after out of hospital resuscitation: a retrospective single center study
Yaacov Hasin, Yigal Helviz, Sharon Einav
Internal and Emergency Medicine.2024; 19(1): 159. CrossRef

VAP (Ventilator-associated Pneumonia) in Patients with Pulmonary Contusion: Jong Hyun Jeong, Sung Youl Hyun, Jin Joo Kim, Jae Hyuk Kim, Yong Su Lim, Jin Seong Cho, Sung Yeon Hwang, Hyuk Jun Yang; Korean J Crit Care Med. 2010;25(4):224-229.; DOI: https://doi.org/10.4266/kjccm.2010.25.4.224

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Abstract PDF: BACKGROUND
This study was conducted to determine the incidence, risk factors, and outcome of ventilator-associated pneumonia in patients with pulmonary contusion.
METHODS
The study was conducted at an urban teaching hospital emergency department with an annual volume of 80,000 patient visits. A retrospective analysis was conducted on thoracic injury patients admitted between Jan 2007 and Dec 2009. Among 122 patients investigated, 30 patients were excluded. Patient data included basal characteristics and information related to development of ventilator-associated pneumonia and ultimate mortality. Statistical methods included the Chi-square test and the Mann-Whitney test. Study data were stored and processed using Microsoft Office Excel 2007 & SPSS 18.0 for Windows.
RESULTS
Ventilator-associated pneumonia developed in 46 patients (50%). The patients with ventilator-associated pneumonia were more likely to have a longer duration of hospitalization, longer length of ICU stay, longer duration of mechanical ventilation, a low initial GCS, a higher APACHE II score, and were more likely to require emergency intubation or tracheostomy. Factors associated with mortality included longer duration of hospitalization, longer duration of mechanical ventilation, low intial GCS and the need for dialysis.
CONCLUSIONS
Ventilator-associated pneumonia in the patients with pulmonary contusion was not relevant to mortality, but was relevant to longer hospitalization, length of ICU stay and duration of mechanical ventilation.

The Clinical Features of Patients with Deep Neck Infections Who Were Admitted to the Intensive Care Unit in a Single Emergency Center: Jin Joo Kim, Sung Youl Hyun, Jung Kwon Kim, Yong Su Lim, Jong Hwan Shin, Jin Seong Cho, Ji Ho Ryu, Gun Lee; Korean J Crit Care Med. 2008;23(2):96-101.; DOI: https://doi.org/10.4266/kjccm.2008.23.2.96

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Abstract PDF

BACKGROUND
Deep neck infections are a life-threatening disease that spread to the neck spaces and the mediastinum via neck fascial planes. In spite of using antibiotics, the mortality of deep neck infections is still high. The aim of our study was to analyze the factors related to mortality and morbidity of patients with deep neck infection who were admitted to the intensive care unit.
METHODS
This is a retrospective study of patients with deep neck infections who were admitted to the intensive care unit over a 2 year period between June 2006 and May 2008. The various factors related to mortality and morbidity were analyzed.
RESULTS
Twenty-four patients were included over 2 years. The median age was 58 years. Eighteen patients (75%) were males and six patients were females. Ten patients (41.7%) had underlying diabetes mellitus. The median white blood cell count and C-reactive protein (CRP) were 14,000/mm3 and 24.1 mg/dl, respectively. The most common cause of deep neck infection was of dental origin (62.5%) and the most common complication was mediastinitis (37.5%). The factors related to mortality were underlying diabetes mellitus, pO2, CRP, sequential organ failure assessment (SOFA) score, gas-forming score (GAS), and complications due to mediastinitis.
CONCLUSIONS
It is useful to measure several factors in patients with deep neck infections. The patients with underlying diabetes mellitus, increased CRP, a GAS score of 2, and complications to mediastinitis have a high mortality rate, so active surgical and medical management should be performed.

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Citations to this article as recorded by

Retrospective investigation of anesthetic management and outcome in patients with deep neck infections
Tae Kwane Kim, Hye Jin Yoon, Yuri Ko, Yuna Choi, Ui Jin Park, Jun Rho Yoon
Anesthesia and Pain Medicine.2019; 14(3): 347. CrossRef

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