Development and Validation of a Predictive Model of the Risk of Pediatric Septic Shock Using Data Known at the Time of Hospital Arrival-Reference-Cited by-同舟云学术

Development and Validation of a Predictive Model of the Risk of Pediatric Septic Shock Using Data Known at the Time of Hospital Arrival

Published:2020-02 Issue: Volume:217 Page:145-151.e6
ISSN:0022-3476
Container-title:The Journal of Pediatrics
language:en
Short-container-title:The Journal of Pediatrics

Author:

Scott Halden F.,Colborn Kathryn L.,Sevick Carter J.,Bajaj Lalit,Kissoon Niranjan,Deakyne Davies Sara J.,Kempe Allison

Funder

Agency for Healthcare Research and Quality

National Institutes of Health

National Center for Advancing Translational Sciences

Clinical and Translational Sciences Institute

Publisher

Elsevier BV

Subject

Pediatrics, Perinatology and Child Health

Reference27 articles.

1. Paediatric Intensive Care Society Study Group. Emergency management of children with severe sepsis in the United Kingdom: the results of the Paediatric Intensive Care Society sepsis audit;Inwald;Arch Dis Child,2009

2. Mortality and functional morbidity after use of PALS/APLS by community physicians;Carcillo;Pediatrics,2009

3. American College of Critical Care Medicine clinical practice parameters for hemodynamic support of pediatric and neonatal septic shock;Davis;Crit Care Med,2017

4. Suboptimal care in the initial management of children who died from severe bacterial infection: a population-based confidential inquiry;Launay;Pediatr Crit Care Med,2010

5. Priorities for pediatric patient safety research;Hoffman;Pediatrics,2019

Cited by 26 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Pediatric septic shock estimation using deep learning and electronic medical records;Acute and Critical Care;2024-08-31

2. Artificial Intelligence in Emergency Medicine: A Case for More;Annals of Emergency Medicine;2024-08

3. Dynamic Prediction of Latent Shock Based on Machine Learning in Emergency Department: A Retrospective Study;2024

4. Analysis of machine learning and deep learning prediction models for sepsis and neonatal sepsis: A systematic review;ICT Express;2023-12

5. Artificial intelligence in emergency medicine. A systematic literature review;International Journal of Medical Informatics;2023-12