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Yu Hyeon Choi 4 Articles
Pediatrics
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
  • 2,647 View
  • 179 Download
  • 3 Web of Science
  • 5 Crossref
AbstractAbstract PDFSupplementary Material
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  
  • 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
  • Predicting sepsis using deep learning across international sites: a retrospective development and validation study
    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
Pediatrics
Clinical implications of discrepancies in predicting pediatric mortality between Pediatric Index of Mortality 3 and Pediatric Logistic Organ Dysfunction-2
Eui Jun Lee, Bongjin Lee, You Sun Kim, Yu Hyeon Choi, Young Ho Kwak, June Dong Park
Acute Crit Care. 2022;37(3):454-461.   Published online July 29, 2022
DOI: https://doi.org/10.4266/acc.2021.01480
  • 2,276 View
  • 161 Download
AbstractAbstract PDF
Background
Pediatric Index of Mortality 3 (PIM 3) and Pediatric Logistic Organ Dysfunction-2 (PELOD-2) are validated tools for predicting mortality in children. Research suggests that these tools may have different predictive performance depending on patient group characteristics. Therefore, we designed this study to identify the factors that make the mortality rates predicted by the tools different.
Methods
This retrospective study included patients (<18 years) who were admitted to a pediatric intensive care unit from July 2017 to May 2019. After defining the predicted mortality of PIM 3 minus the predicted mortality rate of PELOD-2 as “difference in mortality prediction,” the clinical characteristics significantly related to this were analyzed using multivariable regression analysis. Predictive performance was analyzed through the Hosmer-Lemeshow test and area under the receiver operating characteristic curve (AUROC).
Results
In total, 945 patients (median [interquartile range] age, 3.0 [0.0–8.0] years; girls, 44.7%) were analyzed. The Hosmer-Lemeshow test revealed AUROCs of 0.889 (χ2=10.187, P=0.313) and 0.731 (χ2=6.220, P=0.183) of PIM 3 and PELOD-2, respectively. Multivariable linear regression analysis revealed that oxygen saturation, partial pressure of CO2, base excess, platelet counts, and blood urea nitrogen levels were significant factors. Patient condition-related factors such as cardiac bypass surgery, seizures, cardiomyopathy or myocarditis, necrotizing enterocolitis, cardiac arrest, leukemia or lymphoma after the first induction, bone marrow transplantation, and liver failure were significantly related (P<0.001).
Conclusions
Both tools predicted observed mortality well; however, caution is needed in interpretation as they may show different prediction results in relation to specific clinical characteristics.
Neurology/Pulmonary
Extensive and Progressive Cerebral Infarction after Mycoplasma pneumoniae Infection
Yu Hyeon Choi, Hyung Joo Jeong, Bongjin Lee, Hong Yul An, Eui Jun Lee, June Dong Park
Korean J Crit Care Med. 2017;32(2):211-217.   Published online December 29, 2016
DOI: https://doi.org/10.4266/kjccm.2016.00283
  • 6,882 View
  • 169 Download
  • 3 Web of Science
  • 3 Crossref
AbstractAbstract PDF
Acute cerebral infarctions are rare in children; however they can occur as a complication of a Mycoplasma pneumoniae (MP) infection due to direct invasion, vasculitis, or a hypercoagulable state. We report on the case of a 5-year-old boy who had an extensive stroke in multiple cerebrovascular territories 10 days after the diagnosis of MP infection. Based on the suspicion that the cerebral infarction was associated with a macrolide-resistant MP infection, the patient was treated with levofloxacin, methyl-prednisolone, intravenous immunoglobulin, and enoxaparin. Despite this medical management, cerebral vascular narrowing progressed and a decompressive craniectomy became necessary for the patient’s survival. According to laboratory tests, brain magnetic resonance imaging, and clinical manifestations, the cerebral infarction in this case appeared to be due to the combined effects of hypercoagulability and cytokine-induced vascular inflammation.

Citations

Citations to this article as recorded by  
  • Stroke associated with Mycoplasma hominis infection: a case report
    Anthoula C. Tsolaki, Galaktion Konstantinidis, Stavroula Koukou, Fotini Michali, Despina Georgiadou, Thomas Tegos, Nikolaos D. Michalis
    Journal of Medical Case Reports.2021;[Epub]     CrossRef
  • Thrombosis associated with mycoplasma pneumoniae infection (Review)
    Jingwei Liu, Yumei Li
    Experimental and Therapeutic Medicine.2021;[Epub]     CrossRef
  • Multiple anatomic sites of infarction in a pediatric patient with M. pneumoniae infection, a case report
    Devon W. Hahn, Claire E. Atkinson, Matthew Le
    BMC Pediatrics.2021;[Epub]     CrossRef
Neurosurgery
Severe Rhabdomyolysis in Phacomatosis Pigmentovascularis Type IIb associated with Sturge-Weber Syndrome
Bongjin Lee, Hyung Joo Jeong, Yu Hyeon Choi, Chong Won Choi, June Dong Park
Korean J Crit Care Med. 2015;30(4):329-335.   Published online November 30, 2015
DOI: https://doi.org/10.4266/kjccm.2015.30.4.329
  • 6,908 View
  • 79 Download
  • 1 Crossref
AbstractAbstract PDF
Phacomatosis pigmentovascularis (PPV) is a rare syndrome characterized by concurrent nevus flammeus (capillary malformation) and pigmentary nevus. According to current research, the major pathophysiologic mechanism in PPV is venous dysplasia with resultant compensatory collateral channels and venous hypertension. Arterial involvement is rare. We herein report our experience on renovascular hypertension, intermittent claudication, and severe rhabdomyolysis due to diffuse stenosis of multiple arteries in a patient with PPV type IIb associated with SWS.

Citations

Citations to this article as recorded by  
  • Oral healthcare management of a child with phakomatosis pigmentovascularis associated with bilateral Sturge‐Weber syndrome
    Mariana Leonel Martins, Aline Dos Santos Letieri, Michele Machado Lenzi, Michelle Agostini, Gloria Fernanda Castro
    Special Care in Dentistry.2019; 39(3): 324.     CrossRef

ACC : Acute and Critical Care