Geriatricians are often asked to make decisions about withholding cardiopulmonary resuscitation. This seems to be becoming more difficult and more controversial. There has been increased public concern about this subject recently and a recognition within the profession of the need for more openness and transparency in decision making. The implementation of The Human Rights Act led to updated guidelines from professional bodies, but these are likely to need careful interpretation in light of local circumstances before they can become a practical tool for decision making.

Download full-text PDF

Source
http://dx.doi.org/10.1093/ageing/32.2.143DOI Listing

Publication Analysis

Top Keywords

decision making
8
attempt resuscitation
4
resuscitation decisions?
4
decisions? geriatricians
4
geriatricians asked
4
asked decisions
4
decisions withholding
4
withholding cardiopulmonary
4
cardiopulmonary resuscitation
4
resuscitation difficult
4

Similar Publications

Predictive model of intrahepatic collateral vessels among hepatic veins in patients with liver tumors involving the caval confluence.

Surgery

January 2025

Department of Biomedical Sciences, Humanitas University, Milan, Italy; Department of Hepatobiliary & General Surgery, IRCCS Humanitas Research Hospital, Milan, Italy. Electronic address:

Background: Communicating vessels among hepatic veins in patients with tumors invading/compressing hepatic veins at their caval confluence facilitate new surgical solutions. Although their recognition by intraoperative ultrasound has been described, the possibility of preoperative detection still remains uncertain. We aimed to develop a model to predict their presence before surgery.

View Article and Find Full Text PDF

Objective: Craniopharyngiomas are rare, benign brain tumors that are primarily treated with surgery. Although the extended endoscopic endonasal approach (EEEA) has evolved as a more reliable surgical alternative and yields better visual outcomes than traditional craniotomy, postoperative visual deterioration remains one of the most common complications, and relevant risk factors are still poorly defined. Hence, identifying risk factors and developing a predictive model for postoperative visual deterioration is indeed necessary.

View Article and Find Full Text PDF

Background: Recent advancements in artificial intelligence (AI) have changed the care processes in mental health, particularly in decision-making support for health care professionals and individuals with mental health problems. AI systems provide support in several domains of mental health, including early detection, diagnostics, treatment, and self-care. The use of AI systems in care flows faces several challenges in relation to decision-making support, stemming from technology, end-user, and organizational perspectives with the AI disruption of care processes.

View Article and Find Full Text PDF

Purpose: Establishing an accurate prognosis remains challenging in older patients with cancer because of the population's heterogeneity and the current predictive models' reduced ability to capture the complex interactions between oncologic and geriatric predictors. We aim to develop and externally validate a new predictive score (the Geriatric Cancer Scoring System [GCSS]) to refine individualized prognosis for older patients with cancer during the first year after a geriatric assessment (GA).

Materials And Methods: Data were collected from two French prospective multicenter cohorts of patients with cancer 70 years and older, referred for GA: ELCAPA (training set January 2007-March 2016) and ONCODAGE (validation set August 2008-March 2010).

View Article and Find Full Text PDF

Purpose: Artificially Intelligent (AI) chatbots have the potential to produce information to support shared prostate cancer (PrCA) decision-making. Therefore, our purpose was to evaluate and compare the accuracy, completeness, readability, and credibility of responses from standard and advanced versions of popular chatbots: ChatGPT-3.5, ChatGPT-4.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!