Long-stay pediatric patients in Japanese intensive care units: their significant presence and a newly developed, simple predictive score
Author:
Publisher
Springer Science and Business Media LLC
Subject
Critical Care and Intensive Care Medicine
Link
http://link.springer.com/content/pdf/10.1186/s40560-019-0392-2.pdf
Reference35 articles.
1. Williams TA, Ho KM, Dobb GJ, et al. Effect of length of stay in intensive care unit on hospital and long-term mortality of critically ill adult patients. Br J Anaesth. 2010;104:459–64.
2. Halpern NA, Pastores SM. Critical care medicine beds, use, occupancy, and costs in the United States: a methodological review. Crit Care Med. 2015;43:2452–9.
3. Pollack MM, Wilkinson JD, Glass NL. Long-stay pediatric intensive care unit patients: outcome and resource utilization. Pediatrics. 1987;80:855–60.
4. Namachivayam SP, Alexander J, Slater A, et al. Five-year survival of children with chronic critical illness in Australia and New Zealand. Crit Care Med. 2015;43:1978–85.
5. Pollack MM, Holubkov R, Reeder R, et al. PICU length of stay: factors associated with bed utilization and development of a benchmarking model. Pediatr Crit Care Med. 2018;19:196–203.
Cited by 9 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. Reducing Hospital Length of Stay and Hepatic Artery Thrombosis Rates for Children Receiving a Liver Transplant: A Single‐Center Experience From 2000 to 2021;Pediatric Transplantation;2024-08-15
2. Preoperative low muscle mass and early postoperative outcomes in children undergoing living donor liver transplantation: A retrospective study;Liver Transplantation;2023-08-02
3. Comparing the Outcomes of Pediatric Liver Transplantation;Transplantation Proceedings;2023-06
4. Defining Pediatric Chronic Critical Illness: A Scoping Review*;Pediatric Critical Care Medicine;2022-12-16
5. Comparison of Four Machine Learning Techniques for Prediction of Intensive Care Unit Length of Stay in Heart Transplantation Patients;Frontiers in Cardiovascular Medicine;2022-06-21
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3