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2 "Seung Min Baik"
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Original Articles
Nutrition
The effects of intravenous glutamine supplementation in critically ill patients: a systematic review and meta-analysis
Jae Gil Lee, In Gyu Kwon, Seung Min Baik
Received March 9, 2026  Accepted June 18, 2026  Published online October 15, 2026  
DOI: https://doi.org/10.4266/acc.002132    [Epub ahead of print]
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AbstractAbstract PDFSupplementary Material
Background
Studies evaluating intravenous (IV) glutamine supplementation in critically ill patients have shown inconsistent results. This study aimed to evaluate the effects of IV glutamine on mortality, infectious complications, length of stay, and duration of mechanical ventilation. Methods: A systematic search of Ovid Medline, Embase, the Cochrane Central Register of Controlled Trials, and KoreaMed was conducted from inception through October 2023 and updated in April 2025. Randomized controlled trials comparing IV glutamine supplementation with standard care in critically ill adults were included. Pooled estimates were calculated using random-effects models. Results: A total of 10 randomized trials involving 1,593 critically ill patients were included in the analysis. IV glutamine supplementation was not associated with reduced overall mortality (risk ratio [RR], 0.93; 95% CI, 0.77–1.13) or overall infection rates (RR, 0.86; 95% CI, 0.63–1.18). No mortality benefit was observed in either non-surgical or surgical/trauma subgroups. Glutamine supplementation was associated with reduced pneumonia incidence (RR, 0.65; 95% CI, 0.49–0.87) and shorter mechanical ventilation duration (mean difference, −0.97 days; 95% CI, −1.62 to −0.32); however, these findings were based on a limited number of small studies. Intensive care unit and hospital length of stay were longer in the glutamine group. Conclusions: IV glutamine supplementation was not associated with improved survival or overall infection rates in critically ill adults. Current evidence does not support routine IV glutamine supplementation in unselected critically ill patients.
Infection
Validation of presepsin measurement for mortality prediction of sepsis: a preliminary study
Seung Min Baik, Jin Park, Tae Yoon Kim, Se Hong Choi, Kyung Sook Hong
Acute Crit Care. 2022;37(4):527-532.   Published online August 19, 2022
DOI: https://doi.org/10.4266/acc.2022.00150
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  • 221 Download
  • 12 Web of Science
  • 10 Crossref
AbstractAbstract PDF
Background
Sepsis and septic shock remain the leading causes of death in critically ill patients worldwide. Various biomarkers are available to determine the prognosis and therapeutic effects of sepsis. In this study, we investigated the effectiveness of presepsin as a sepsis biomarker.
Methods
Patients admitted to the intensive care unit with major or minor diagnosis of sepsis were categorized into survival and non-survival groups. The white blood cell count and serum C-reactive protein, procalcitonin, and presepsin levels were measured in all patients.
Results
The study included 40 patients (survival group, 32; non-survival group, 8; mortality rate, 20%). The maximum serum presepsin levels measured during intensive care unit admission were significantly higher in the non-survival group (median [interquartile range]: 4,205.5 pg/ml [1,155.8–10,094.0] vs. 741.5 pg/ml [520.0–1,317.5], P<0.05). No statistically significant intergroup differences were observed in the maximum, minimum, and mean values of the white blood cell count, as well as serum C-reactive protein, and procalcitonin levels. Based on the receiver operating characteristic curve, the area under the curve for presepsin as a predictor of sepsis mortality was 0.764. At a cut-off value of 1,898.5 pg/ml, the sensitivity and specificity of presepsin for prediction of sepsis-induced mortality were 75.0% and 87.5%, respectively.
Conclusions
Early diagnosis of sepsis and prediction of sepsis-induced mortality are important for prompt initiation of treatment. Presepsin may serve as an effective biomarker for prediction of sepsis-induced mortality and for evaluation of treatment effectiveness.

Citations

Citations to this article as recorded by  
  • Efficacy of anakinra in reducing progression to organ dysfunction in patients with pneumonia (INSPIRE): a randomised, double-blind, placebo-controlled, phase IIa trial
    Georgios Tavoulareas, Olga Kontakou-Zoniou, Nikolaos Antonakos, Elisavet Tasouli, George Adamis, Nikolaos Kakavoulis, Evangelos Michelakis, Ilias Skopelitis, Konstantina Dakou, Christos Psarrakis, Panagiotis Koufargyris, Myrto Astriti, Styliani Sympardi,
    The Lancet Regional Health - Europe.2026; 62: 101573.     CrossRef
  • Diagnostic Accuracy of Cerebrospinal Fluid Presepsin vs. Procalcitonin in Post-Neurosurgical Bacterial Ventriculitis/Meningitis: A Machine Learning Analytical Approach
    Srinivasa Sundara Rajan Radhakrishnan, Veena Kumari Haradara Bahubali, Gyani Jail Singh Birija, Dwarakanath Srinivas, Sudhir Venkataramaiah, Nanda Kumar Dalavaikodihalli Nanjaiah
    Journal of Molecular Neuroscience.2026;[Epub]     CrossRef
  • A Simple Admission-Based Score for Early Mortality Risk Stratification in Non-Shock Sepsis: A Pilot Study
    Simona Maria Borta, Romana Olivia Popetiu, Larisa Alexandra Rus, Anamaria Vîlcea, Cristina Maghera, Renata Padurean, Dragoş Vasile Nica, Adrian Silviu Crişan
    Diagnostics.2026; 16(11): 1623.     CrossRef
  • Impact of nutrition‐related laboratory tests on mortality of patients who are critically ill using artificial intelligence: A focus on trace elements, vitamins, and cholesterol
    Dong Jin Park, Seung Min Baik, Hanyoung Lee, Hoonsung Park, Jae‐Myeong Lee
    Nutrition in Clinical Practice.2025; 40(3): 723.     CrossRef
  • Predicting outcomes in patients with sepsis-associated encephalopathy using prefrontal functional connectivity analysis
    Tae Jung Kim, Jae-Myoung Kim, Ji Sung Lee, Soo-Hyun Park, Jihyun Cha, Hyeon-Min Bae, Sang-Bae Ko
    Scientific Reports.2025;[Epub]     CrossRef
  • The Prognostic Utility of Pathophysiologically Distinct Biomarkers for Renal Outcomes in Sepsis: A Prospective ICU Cohort Study
    Mert Canbaz, Günseli Orhun, Özlem Polat, İlkay Anaklı, Abdurrahman Fatih Aydın, Serhat Kılınç, Perihan Ergin Özcan, Figen Esen
    Journal of Clinical Medicine.2025; 14(15): 5370.     CrossRef
  • Prognostic value of laboratory markers and clinical scores for mortality in intensive care unit patients with sepsis
    So-yun Kim, Dukki Kim, Hyekyeong Ju, Song I. Lee, Ying Amanda Wang
    PLOS One.2025; 20(12): e0337396.     CrossRef
  • Development and external validation of an artificial intelligence model for predicting mortality and prolonged ICU stay in postoperative critically ill patients: a retrospective study
    Dong Jin Park, Seung Min Baik, Kyung Sook Hong, Heejung Yi, Jae Gil Lee, Jae-Myeong Lee
    World Journal of Emergency Surgery.2025;[Epub]     CrossRef
  • The Potential Role of Presepsin in Predicting Severe Infection in Patients with Diabetic Foot Ulcers
    Eun Yeong Ha, Il Rae Park, Seung Min Chung, Young Nam Roh, Chul Hyun Park, Tae-Gon Kim, Woong Kim, Jun Sung Moon
    Journal of Clinical Medicine.2024; 13(8): 2311.     CrossRef
  • Combined estimation of presepsin and gelsolin might improve the diagnostic validity of clinical scoring to predict and stratify sepsis in non-sepsis surgical ICU patient
    Hany A. Shehab, Ahmed M Eid, Yehya Shahin Dabour
    Egyptian Journal of Anaesthesia.2024; 40(1): 262.     CrossRef

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