Use of a modified early warning score system to reduce the rate of in-hospital cardiac arrest-Reference-Cited by-同舟云学术

Use of a modified early warning score system to reduce the rate of in-hospital cardiac arrest

Published:2016-02-09 Issue:1 Volume:4 Page:
ISSN:2052-0492
Container-title:Journal of Intensive Care
language:en
Short-container-title:j intensive care

Author:

Nishijima Isao,Oyadomari Shouhei,Maedomari Shuuto,Toma Risa,Igei Chisato,Kobata Shinya,Koyama Jyun,Tomori Ryuichiro,Kawamitsu Natsuki,Yamamoto Yoshiki,Tsuchida Masafumi,Tokeshi Yoshihiro,Ikemura Ryo,Miyagi Kazufumi,Okiyama Koichi,Iha Kiyoshi

Publisher

Springer Science and Business Media LLC

Subject

Critical Care and Intensive Care Medicine

Link

http://link.springer.com/content/pdf/10.1186/s40560-016-0134-7

Reference20 articles.

1. Franklin C, Mathew J. Developing strategies to prevent in-hospital cardiac arrest: analyzing responses of physicians and nurses in the hours before the event. Crit Care Med. 1994;22:244–7.

2. Schein RM, Hazday N, Pena M, et al. Clinical antecedents to in-hospital cardiopulmonary arrest. Chest. 1990;98:1388–92.

3. Rich K. Inhospital cardiac arrest: pre-event variables and nursing response. Clin Nurse Spec. 1999;13:147–53.

4. Kause J, Smith G, Prytherch D, et al. A comparison of antecedents to cardiac arrest, deaths, and emergency intensive care admissions in Australia and New Zealand, and the United Kingdom—the ACADEMIA study. Resuscitation. 2004;62:275–82.

5. Bedell SE, Deitz DC, Leeman D, et al. Incidence and characteristics of preventable iatrogenic cardiac arrests. JAMA. 1991;265:2815–20.

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