Acute and Critical Care

Original 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

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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

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
Prognostic factors of pediatric hematopoietic stem cell transplantation recipients admitted to the pediatric intensive care unit: Da Hyun Kim, Eun Ju Ha, Seong Jong Park, Kyung-Nam Koh, Hyery Kim, Ho Joon Im, Won Kyoung Jhang; Acute Crit Care. 2021;36(4):380-387. Published online November 26, 2021; DOI: https://doi.org/10.4266/acc.2020.01193

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Abstract PDF

Background
Pediatric patients who received hematopoietic stem cell transplantation (HSCT) tend to have high morbidity and mortality. While, the prognostic factors of adult patients received bone marrow transplantation were already known, there is little known in pediatric pateints. This study aimed to identify the prognostic factor for pediatric intensive care unit (PICU) mortality of critically ill pediatric patients with HSCT.
Method
Retrospectively reviewed that the medical records of patients who received HSCT and admitted to PICU between January 2010 and December 2019. Mortality was defined a patient who expired within 28 days.
Results
A total of 131 patients were included. There were 63 boys (48.1%) and median age was 11 years (interquartile range, 0–20 years). The most common HSCT type was haploidentical (38.9%) and respiratory failure (44.3%) was the most common reason for PICU admission. Twenty-eight–day mortality was 22.1% (29/131). In comparison between survivors and non-survivors, the number of HSCT received, sepsis, oncological pediatric risk of mortality-III (OPRISM-III), PRISM-III, pediatric sequential organ failure assessment (pSOFA), serum lactate, B-type natriuretic peptide (BNP) and use of mechanical ventilator (MV) and vasoactive inotropics were significant predictors (p<0.05 for all variables). In multivariate logistic regression, number of HSCT received, use of MV, OPRISM-III, PRISM-III and pSOFA were independent risk factors of PICU mortality. Moreover, three scoring systems were significant prognostic factors of 28-day mortality.
Conclusions
The number of HSCT received and use of MV were more accurate predictors in pediatric patients received HSCT.

Citations

Citations to this article as recorded by

Prognostic factors and predictive scores for 6-months mortality of hematopoietic stem cell transplantation recipients admitted to the pediatric intensive care unit
Sarah Schober, Silke Huber, Norbert Braun, Michaela Döring, Peter Lang, Michael Hofbeck, Felix Neunhoeffer, Hanna Renk
Frontiers in Oncology.2023;[Epub] CrossRef
Survival outcomes of pediatric hematopoietic stem cell transplant patients admitted to the intensive care unit: A case–control study from a tertiary care center in Saudi Arabia
LujainTalib Aljudaibi, MohamedSalaheldin Bayoumy, HassanA Altrabolsi, AbdullahM Alzaydi, Nawaf Aldajani, Nadia Hammad, Ismail Alzahrani, Marwa Elhadidy, IbraheemF Abosoudah
Journal of Applied Hematology.2022; 13(4): 192. CrossRef

Case Report

Cardiology/Pediatric
Extracorporeal Membrane Oxygenation Cannula Malposition in the Azygos Vein in a Neonate with Right-Sided Congenital Diaphragmatic Hernia: Seung Jun Choi, Chun-Soo Park, Won Kyoung Jhang, Seong Jong Park; Korean J Crit Care Med. 2016;31(2):152-155. Published online May 31, 2016; DOI: https://doi.org/10.4266/kjccm.2016.31.2.152

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Abstract PDF

Malposition of the extracorporeal membrane oxygenation (ECMO) venous cannula in the azygos vein is not frequently reported. We hereby present such a case, which occurred in a neonate with right-sided congenital diaphragmatic hernia. Despite ECMO application, neither adequate flow nor sufficient oxygenation was achieved. On the cross-table lateral chest radiograph, the cannula tip was identified posterior to the heart silhouette, which implied malposition of the cannula in the azygos vein. After repositioning the cannula, the target flow and oxygenation were successfully achieved. When sufficient venous flow is not achieved, as in our case, clinicians should be alerted so they can identify the cannula tip location on lateral chest radiograph and confirm whether malposition in the azygos vein is the cause of the ineffective ECMO.

Citations

Citations to this article as recorded by

Inadvertent cannulation of the azygos vein during eCPR
Shelina M. Jamal, Deborah S. Fruitman, Kevin M. Lichtenstein, Darren H. Freed, Natalie L. Yanchar
Journal of Pediatric Surgery Case Reports.2021; 71: 101941. CrossRef
Identification of Inadvertent Azygous Vein Cannulation Using Transthoracic Echocardiography During Venoarterial Extracorporeal Membrane Oxygenation Initiation
Bethany G. Runkel, Jason D. Fraser, John M. Daniel, Karina M. Carlson
CASE.2019; 3(2): 67. CrossRef
Successful Extracorporeal Membrane Oxygenation After Incidental Azygos Vein Cannulation in a Neonate With Right-Sided Congenital Diaphragmatic Hernia Interruption of the Inferior Vena Cava and Azygos Continuation
Alessandra Mayer, Genny Raffaeli, Federico Schena, Valeria Parente, Gabriele Sorrentino, Francesco Macchini, Anna Maria Colli, Lucia Mauri, Simona Neri, Irene Borzani, Ernesto Leva, Fabio Mosca, Giacomo Cavallaro
Frontiers in Pediatrics.2019;[Epub] CrossRef
The Future of Research on Extracorporeal Membrane Oxygenation (ECMO)
Ji Young Lee
Korean Journal of Critical Care Medicine.2016; 31(2): 73. CrossRef

Original Article

Low Blood Selenium Concentrations in Critically Ill Children with Systemic Inflammatory Response Syndrome and Respiratory Dysfunction: Young A Kim, Eun Ju Ha, Won Kyoung Jhang, Seong Jong Park; Korean J Crit Care Med. 2013;28(2):86-92.; DOI: https://doi.org/10.4266/kjccm.2013.28.2.86

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Abstract PDF: BACKGROUND
Selenium is an essential trace-element with antioxidant and immunological function. We studied the relationship between blood selenium concentrations, systemic inflammatory response syndrome (SIRS) and organ dysfunctions in critically ill children.
METHODS
This was a retrospective, observational study of the blood selenium concentrations of critically ill children at the time of a pediatric intensive care unit admission.
RESULTS
A total of 62 patients with a median age of 18 (5-180) months were included in this study. The mean of blood selenium concentration (microg/dl) was 8.49 +/- 2.42. The platelet count (r = -0.378) and PaCO2 (r = -0.403) showed negative correlations with blood selenium concentration, while PaO2/FiO2 (r = 0.359) and PaO2 (r = 0.355) showed positive correlations (p < 0.05, for all variables). Blood selenium concentrations were significantly lower in patients with SIRS than in those patients without SIRS (8.08 +/- 2.42 vs. 9.45 +/- 2.02, p = 0.011). Patients with severe sepsis and septic shock had showed significantly lower blood selenium concentrations than those without SIRS (7.03 +/- 2.73 vs. 9.45 +/- 2.02, p = 0.042). Patients with PaO2/FiO2 < or = 300 had lower blood selenium concentrations than those with PaO2/FiO2 > 300 (7.90 +/- 2.43 vs. 9.54 +/- 2.17, p = 0.018). Blood selenium concentrations were significantly lower in patient with PaO2/FiO2 < or = 200 than in those with PaO2/FiO2 > 300 (7.64 +/- 2.76 vs. 9.54 +/- 2.17, p = 0.018).
CONCLUSIONS
Patients with systemic inflammatory response syndrome or respiratory dysfunction showed significantly low blood selenium concentrations.

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