Jeong Hoon Yang

Sungkyunkwan University School of Medicine
Country flagSouth Korea

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Articles (12)

Year:

2025

Year:

2025

Aims Unplanned intensive care unit (ICU) readmissions contribute to increased morbidity, mortality, and healthcare costs. The severity of patient illness at ICU discharge may predict early ICU readmission. Thus, in this study, we investigated the association of cardiac ICU (CICU) discharge Sequential Organ Failure Assessment (SOFA) score with unplanned CICU readmission in patients admitted to the CICU. Methods and results We retrospectively reviewed the hospital medical records of 4659 patients who were admitted to the CICU from 2012 to 18. Sequential Organ Failure Assessment scores at CICU admission and discharge were obtained. The predictive performance of organ failure scoring was evaluated by using area under the receiver operating characteristic (AUROC) curves. The primary outcome was unplanned CICU readmission. Of the 3949 patients successfully discharged from the CICU, 184 (4.7%) had an unplanned CICU readmission or they experienced a deteriorated condition but died without being readmitted to the CICU (readmission group). The readmission group had significantly higher rates of organ failure in all organ systems at both CICU admission and discharge than the non-readmission group. The AUROC of the discharge SOFA score for CICU readmission was 0.731, showing good predictive performance. The AUROC of the discharge SOFA score was significantly greater than that of either the initial SOFA score (P = 0.020) or the Acute Physiology and Chronic Health Evaluation II score (P < 0.001). In the multivariable regression analysis, SOFA score, overweight or obese status, history of heart failure, and acute heart failure as reasons for ICU admission were independent predictors of unplanned ICU readmission during the same hospital stay. Conclusion The discharge SOFA score may identify patients at a higher risk of unplanned CICU readmission, enabling targeted interventions to reduce readmission rates and improve patient outcomes.

Year:

2024

Year:

2024

Year:

2024

Year:

2024

Year:

2024

Background: Only some studies have directly compared and analyzed the roles of activated partial thromboplastin time (aPTT) and activated clotting time (ACT) in coagulation monitoring during argatroban administration. Objectives: This study aims to assess the correlation of argatroban dose with ACT and aPTT values and to identify the optimal coagulation test for argatroban dose adjustment. Methods: We evaluated 55 patients on extracorporeal membrane oxygenation (ECMO) who received argatroban for more than 72 hours. The correlation between argatroban dose and aPTT and ACT values was evaluated. To compare argatroban dose and bleeding events according to liver dysfunction, the patients were divided into 2 groups based on alanine aminotransferase and total bilirubin. Results: Among the 55 patients, a total of 459 doses and coagulation tests were evaluated. The aPTT and ACT values showed a weak correlation with argatroban dose, with the Pearson correlation coefficients of 0.261 ( P < 0.001) and 0.194 ( P = 0.001), respectively. The agreement between the target 150 to 180 seconds for ACT and 55 to 75 seconds for aPTT was observed in 140 patients (46.1%). Twenty-four patients (43.6%) had liver dysfunction when they started argatroban. The median argatroban dose was lower in the liver dysfunction group than in the control group (0.094 mcg/kg/min vs 0.169 mcg/kg/min, P = 0.020). Difference was not observed between the 2 groups in the amount of red blood cell (0.47 vs 0.43 pack, P = 0.909) and platelet (0.60 vs 0.08 pack, P = 0.079) transfusion per day. Conclusion and Relevance: A weak correlation was observed between argatroban dose and the aPTT and ACT values. However, the agreement between aPTT and ACT was only 46.1% regarding the scope of target range. Further research is necessary to determine how to assess the optimal argatroban dose for patients administered argatroban while undergoing ECMO at the intensive care unit.

Year:

2023

Year:

2023

Year:

2023

Year:

2023

Year:

2021

Collaborators (10)

Moon Seong Baek

Chung-Ang University College of Medicine

SOUTH KOREA
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Su Hwan Lee

Associate professor

Yonsei University College of Medicine Yonsei University Medical Library

SOUTH KOREA
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Won-Young Kim

Associate Professor

Chung Ang University Hospital

SOUTH KOREA
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Yonghoon Shin

Clinical Assistant Professor

Korea University

SOUTH KOREA
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Jin Ho Jang

Clinical Assistant Professor

Pusan National University Yangsan Hospital

SOUTH KOREA
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Ryoung-Eun Ko

Sungkyunkwan University School of Medicine

SOUTH KOREA
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Kang-Mo Gu

Associate Professor

Chung-Ang University

SOUTH KOREA
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Kyungmin Huh

Assistant Professor

Sungkyunkwan University School of Medicine

SOUTH KOREA
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Joo Myung Lee

Interventional Cardiologist, Assistant Professor

Samsung Medical Center, Sungkyunkwan University School of Medicine

SOUTH KOREA
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Sunghoon Park

Associate Professor

Hallym University Sacred Heart Hospital

SOUTH KOREA
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