Derivation of a Clinical Decision Rule for the Discontinuation of In-Hospital Cardiac Arrest Resuscitations
Open Access
- 25 January 1999
- journal article
- research article
- Published by American Medical Association (AMA) in Archives of internal medicine (1960)
- Vol. 159 (2) , 129-134
- https://doi.org/10.1001/archinte.159.2.129
Abstract
CARDIOPULMONARY resuscitation (CPR) and advanced cardiac life support are used to resuscitate patients suffering cardiac arrest. With the exception of airway management and cardiac defibrillation, the effectiveness of interventions provided during resuscitation is uncertain.1 Physicians and other health care personnel often expend prolonged amounts of time and effort in attempting to resuscitate patients. Resuscitated patients may be subjected to prolonged, intensive, and invasive therapy. Throughout this time, the patient's family and members of the health care team often deal with difficult emotions and decisions.This publication has 15 references indexed in Scilit:
- Cardiopulmonary Resuscitation.Anesthesia & Analgesia, 2005
- Predicting death after CPR experience at a nonteaching community hospital with a full-time critical care staff: Chest 1995; 108/4 (1009–1017)Resuscitation, 1996
- Predictors of survival following in-hospital cardiopulmonary resuscitation. A moving targetArchives of internal medicine (1960), 1994
- Cardiac arrest: prognostic factors and outcome at one yearResuscitation, 1993
- High-Dose Epinephrine in Adult Cardiac ArrestNew England Journal of Medicine, 1992
- Prediction of hospital discharge in immediate survivors of ventricular fibrillation or asystoleResuscitation, 1992
- Prediction of survival from resuscitation: a prognostic index derived from multivariate logistic model analysisResuscitation, 1991
- Selective venous hypercarbia during human CPR: Implications regarding blood flowAnnals of Emergency Medicine, 1987
- Survival after Cardiopulmonary Resuscitation in the HospitalNew England Journal of Medicine, 1983
- An Exploratory Technique for Investigating Large Quantities of Categorical DataJournal of the Royal Statistical Society Series C: Applied Statistics, 1980