Traditionally clinicians have determined their patients' resuscitation status without consultation. This has been condemned as morally indefensible in cases where not for resuscitation (NFR) orders are based on quality of life considerations and when the patient's true wishes are not known. Such instances would encompass most resuscitation decisions in elderly patients. Having previously involved patients in CPR decision-making, we chose formally to explore the reasons behind the choices made. Although the patients were not upset, and readily decided at the time of initial consultation, on later analysing the decision-making we found poor understanding of the procedure, poor recall of information given and in some cases evidence of harm. This may be attributed to impaired decision-making capacity of elderly hospitalised patients as previously shown, or to the discomfort precipitated by having to contemplate the apparent immediacy of cardiac arrest by these patients. We propose that subscribing to autonomy as a general principle needs to be balanced against particular cases where distress may be caused by, or result in, diminished competence and limited autonomy.
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http://dx.doi.org/10.1136/jme.23.4.207 | DOI Listing |
Background: With the increasing availability and use of digital tools such as virtual reality in medical education, there is a need to evaluate their impact on clinical performance and decision-making among healthcare professionals. The Trauma SimVR study is investigating the efficacy of virtual reality training in the context of traumatic in-hospital cardiac arrest.
Methods And Analysis: This study protocol (clinicaltrials.
Sci Rep
January 2025
Department Emergency and Critical Care Medicine, Changhua Christian Hospital, Changhua, 50006, Taiwan.
Extracorporeal cardiopulmonary resuscitation (ECPR) improves survival for prolonged cardiac arrest (CA) but carries significant risks and costs due to ECMO. Previous predictive models have been complex, incorporating both clinical data and parameters obtained after CPR or ECMO initiation. This study aims to compare a simpler clinical-only model with a model that includes both clinical and pre-ECMO laboratory parameters, to refine patient selection and improve ECPR outcomes.
View Article and Find Full Text PDFFront Pharmacol
January 2025
Department of Neurological Rehabilitation, Jiangbin Hospital of Guangxi Zhuang Autonomous Region, Nanning, China.
Objective: This study aims to evaluate the association between the white blood cell-to-platelet ratio (WPR) and 28-day all-cause mortality among patients experiencing cardiac arrest.
Methods: Utilizing data from 748 cardiac arrest patients in the Medical Information Mart for Intensive Care-IV (MIMIC-IV) 2.2 database, machine learning algorithms, including the Boruta feature selection method, random forest modeling, and SHAP value analysis, were applied to identify significant prognostic biomarkers.
Resusc Plus
January 2025
Department of Emergency Medicine and Pre-hospital services, St. Olav s University Hospital, NO-7006, Trondheim, Norway.
PLoS One
December 2024
Wolfson Palliative Care Research Centre, Allam Medical Building, University of Hull, Hull, United Kingdom.
Background: Care planning with people with advanced heart failure enables appropriate care, and prevents futile interventions, such as cardio-pulmonary resuscitation (CPR).
Aim: To explore what motivates clinicians to conduct, and people with heart failure and their carers, to engage in well-conducted CPR discussions.
Methods: In-depth remote interviews with i) people with heart failure and self-reported daily symptoms (≥ 3 months), ii) informal carers and, iii) clinicians recruited through social media and professional groups, team contacts and snowballing.
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