The Influence of Two Different Do-not-resuscitate Orders on the Outcomes of Patients in a Medical Intensive Care Unit
Year: 2009
Type: article
Abstract: CPRAll or any of the following medical interventions which are initiated upon the event of cardiac or respiratory arrest:administering chest compression, inserting artificial airway, administering resuscitative drugs, defibrillation or cardioversion, providing respiratory assistance, initiating resuscitative intravenous fluids, initiating cardiac monitoring. DNRA DNR order indicates that a person has decided not to have CPR attempted in the event of cardiac or respiratory arrest.A DNR order is written by a physician after discussing the burdens and benefits of CPR with the patient or the patient's surrogate decision-maker.In Ohio, DNR has two different protocols:CCO-DNR and LE-DNR. CCO-DNRCCO-DNR means that after a CCO-DNR order is written, a patient will receive only comfort care short of cardiac or xviii respiratory arrest, and will continue to receive comfort care only at the moment of cardiac or respiratory arrest. LE-DNRLE-DNR means that after a LE-DNR order is written, a patient is eligible to receive life-extending medical interventions and treatments short of cardiac or respiratory arrest. Comfort care measuresAll or any of the following medical interventions which make patients comfortable: suction the airway, administering oxygen, position for comfort, splint or immobilization, bleeding control, providing pain medication, providing emotional support, contact other healthcare provider such as hospice or palliative care physicians. Pharmacological cardioversionConverting cardiac arrhythmia by use of drugs.For example, atrial fibrillation may be converted by use of amiodarone. ElectricalConverting cardiac arrhythmia by use of defibrillation.For xxi CalibrationThe model fit of a multivariate logistic regression model.This is usually examined by Hosmer-Lemeshow good-of-fit test.The null hypothesis of this test is that the model has a good fit to the dataset.If the result of the test shows that p value is greater than 0.05, the model has a good fit to the dataset.xxii
Author: Yen‐Yuan Chen
Institution: Case Western Reserve University
Language: English
Field: Medicine
Domain: Health Sciences
Open Access status: green
OpenAlex ID: W2277479411