Acute and Critical Care

Original Articles

Pediatrics
Weight variability at pediatric intensive care unit admission and adverse outcomes in critically ill children: Jae Hwa Jung, Yoon Hee Kim, Min Jung Kim, Mireu Park, Hamin Kim, Kyung Won Kim, Myung Hyun Sohn, Soo Yeon Kim; Acute Crit Care. 2025;40(4):605-613. Published online November 28, 2025; DOI: https://doi.org/10.4266/acc.001550

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Abstract PDF Supplementary Material: Background
Body weight can fluctuate during critical illness due to factors such as fluid shifts, nutritional status, the type of acute illness, and underlying comorbidities. We investigated the association between acute body weight variability (WV) and clinical outcomes in critically ill pediatric patients.
Methods
We retrospectively analyzed data from patients aged 1 month to 18 years who were admitted to the pediatric intensive care unit (PICU) of a university-affiliated tertiary hospital between August 2017 and July 2021. WV was defined as the percentage difference between the measured body weight at PICU admission and the usual body weight, obtained either from recent hospital records or caregiver reports. Associations between WV and clinical outcomes, including PICU mortality and ventilator-free days (VFDs), were assessed.
Results
Of the 926 patients, 74 (8.0%) died. Median WV was significantly higher in non-survivors than in survivors (8.7% vs. 0.0%; P<0.001). Increased WV was independently associated with higher mortality (hazard ratio [HR], 1.102; 95% CI, 1.073–1.131) and fewer VFDs (odds ratio [OR], 0.599; 95% CI, 0.524–0.684). Combining WV with Pediatric Index of Mortality 3 score significantly improved mortality prediction over either parameter alone (area under the curve, 0.888; P=0.047).
Conclusions
Higher WV at PICU admission is independently associated with adverse clinical outcomes, including increased mortality and fewer VFDs. WV could complement existing mortality prediction models in pediatric critical care.

Epidemiology
Multicenter validation of a deep-learning-based pediatric early-warning system for prediction of deterioration events: Yunseob Shin, Kyung-Jae Cho, Yeha Lee, Yu Hyeon Choi, Jae Hwa Jung, Soo Yeon Kim, Yeo Hyang Kim, Young A Kim, Joongbum Cho, Seong Jong Park, Won Kyoung Jhang; Acute Crit Care. 2022;37(4):654-666. Published online October 26, 2022; DOI: https://doi.org/10.4266/acc.2022.00976

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Background
Early recognition of deterioration events is crucial to improve clinical outcomes. For this purpose, we developed a deep-learning-based pediatric early-warning system (pDEWS) and aimed to validate its clinical performance.
Methods
This is a retrospective multicenter cohort study including five tertiary-care academic children’s hospitals. All pediatric patients younger than 19 years admitted to the general ward from January 2019 to December 2019 were included. Using patient electronic medical records, we evaluated the clinical performance of the pDEWS for identifying deterioration events defined as in-hospital cardiac arrest (IHCA) and unexpected general ward-to-pediatric intensive care unit transfer (UIT) within 24 hours before event occurrence. We also compared pDEWS performance to those of the modified pediatric early-warning score (PEWS) and prediction models using logistic regression (LR) and random forest (RF).
Results
The study population consisted of 28,758 patients with 34 cases of IHCA and 291 cases of UIT. pDEWS showed better performance for predicting deterioration events with a larger area under the receiver operating characteristic curve, fewer false alarms, a lower mean alarm count per day, and a smaller number of cases needed to examine than the modified PEWS, LR, or RF models regardless of site, event occurrence time, age group, or sex.
Conclusions
The pDEWS outperformed modified PEWS, LR, and RF models for early and accurate prediction of deterioration events regardless of clinical situation. This study demonstrated the potential of pDEWS as an efficient screening tool for efferent operation of rapid response teams.

Citations

Citations to this article as recorded by

A Realist Evaluation of a Rapid Response System for Mental State Deterioration in Acute Hospital Settings
Tendayi Bruce Dziruni, Alison M. Hutchinson, Sandra Keppich‐Arnold, Tracey Bucknall
Journal of Advanced Nursing.2026;[Epub] CrossRef
Implementation of the bedside paediatric early warning system, its sustainability in clinical practice and patient outcomes: a quality improvement initiative
Ruqiah Ali AlZaher, Syed Jamil, Iris Murabi, Eidah Ahmari
BMJ Open Quality.2025; 14(2): e002454. CrossRef
AI-driven transcriptomic biomarker discovery for early identification of pediatric deterioration in Acute Care
Qing Wang, Lina Sun, Wei Meng, Chen Chen
SLAS Technology.2025; 35: 100357. CrossRef
Predicting cardiac arrest after neonatal cardiac surgery
Alexis L. Benscoter, Mark A. Law, Santiago Borasino, A. K. M. Fazlur Rahman, Jeffrey A. Alten, Mihir R. Atreya
Intensive Care Medicine – Paediatric and Neonatal.2024;[Epub] CrossRef
Volumetric regional MRI and neuropsychological predictors of motor task variability in cognitively unimpaired, Mild Cognitive Impairment, and probable Alzheimer's disease older adults
Michael Malek-Ahmadi, Kevin Duff, Kewei Chen, Yi Su, Jace B. King, Vincent Koppelmans, Sydney Y. Schaefer
Experimental Gerontology.2023; 173: 112087. CrossRef
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Michael Moor, Nicolas Bennett, Drago Plečko, Max Horn, Bastian Rieck, Nicolai Meinshausen, Peter Bühlmann, Karsten Borgwardt
eClinicalMedicine.2023; 62: 102124. CrossRef
A model study for the classification of high-risk groups for cardiac arrest in general ward patients using simulation techniques
Seok Young Song, Won-Kee Choi, Sanggyu Kwak
Medicine.2023; 102(37): e35057. CrossRef
An advanced pediatric early warning system: a reliable sentinel, not annoying extra work
Young Joo Han
Acute and Critical Care.2022; 37(4): 667. CrossRef

CPR/Resuscitation
Validation of Pediatric Index of Mortality 3 for Predicting Mortality among Patients Admitted to a Pediatric Intensive Care Unit: Jae Hwa Jung, In Suk Sol, Min Jung Kim, Yoon Hee Kim, Kyung Won Kim, Myung Hyun Sohn; Acute Crit Care. 2018;33(3):170-177. Published online August 31, 2018; DOI: https://doi.org/10.4266/acc.2018.00150

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788 Download
21 Web of Science
20 Crossref

Abstract PDF

Background
The objective of this study was to evaluate the usefulness of the newest version of the pediatric index of mortality (PIM) 3 for predicting mortality and validating PIM 3 in Korean children admitted to a single intensive care unit (ICU).
Methods
We enrolled children at least 1 month old but less than 18 years of age who were admitted to the medical ICU between March 2009 and February 2015. Performances of the pediatric risk of mortality (PRISM) III, PIM 2, and PIM 3 were evaluated by assessing the area under the receiver operating characteristic (ROC) curve, conducting the Hosmer-Lemeshow test, and calculating the standardized mortality ratio (SMR).
Results
In total, 503 children were enrolled; the areas under the ROC curve for PRISM III, PIM 2, and PIM 3 were 0.775, 0.796, and 0.826, respectively. The area under the ROC curve was significantly greater for PIM 3 than for PIM 2 (P<0.001) and PRISM III (P=0.016). There were no significant differences in the Hosmer-Lemeshow test results for PRISM III (P=0.498), PIM 2 (P=0.249), and PIM 3 (P=0.337). The SMR calculated using PIM 3 (1.11) was closer to 1 than PIM 2 (0.84).
Conclusions
PIM 3 showed better prediction of the risk of mortality than PIM 2 for the Korean pediatric population admitted in the ICU.

Citations

Citations to this article as recorded by

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Low vitamin C concentrations and prognosis in critically ill children
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Desy Rusmawatiningtyas, Renova Astriani Hutapea, Antonius H. Pudjiadi, Firdian Makrufardi, Hennie Knoester, J. B. M. van Woensel
BMC Pediatrics.2025;[Epub] CrossRef
Weight variability at pediatric intensive care unit admission and adverse outcomes in critically ill children
Jae Hwa Jung, Yoon Hee Kim, Min Jung Kim, Mireu Park, Hamin Kim, Kyung Won Kim, Myung Hyun Sohn, Soo Yeon Kim
Acute and Critical Care.2025; 40(4): 605. CrossRef
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Nisha Toteja, Bharat Choudhary, Daisy Khera, Rohit Sasidharan, Prem Prakash Sharma, Kuldeep Singh
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Manzilat Akande, Ashish Nagpal, Teddy Muisyo, James Cutler, Michael Anderson, Christine Allen
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Evaluation of the Performance of PRISM III and PIM II Scores in a Tertiary Pediatric Intensive Care Unit
Büşra Uzunay Gündoğan, Oğuz Dursun, Nazan Ülgen Tekerek, Levent Dönmez
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