Context: In European and Anglo-Saxon countries, life-sustaining treatment (LST) limitation decisions precede more than 80% of ICU deaths. However, there is now increasing evidence of disagreement and conflict between clinical teams and family members over LST limitation decisions. In some cases, these conflicts are brought to the courts. The aim of this study was to provide a descriptive and qualitative analysis of cases brought to the French courts.
Methods: We conducted a retrospective national observational study. All identified cases of emergency recourse to the judge in the context of LST limitation decisions in France between 2005 and 2022 were included.
Results: Seventy-six cases were investigated by the judge, with an increasing number over the years. The LST limitation decisions contested by the relatives were mainly decisions to withdraw treatment (78%) concerning patients with neurological injury (76%). The judge successively assessed the compliance with the legal decision-making process and the characterization of the inappropriateness of treatments. The latter was assessed by the judge using medical and non-medical criteria. In all, the medical decision was upheld in 29 cases (38%) and over-ruled in 20 cases (26%). Thirteen cases (17%) were finally settled out of court, and 14 patients (18%) died before the end of the investigation. The qualitative analysis highlighted opposing moral values and principles put forward by family members and physicians.
Conclusion: The growing incidence and deeply intertwined elements of these conflicts call for more policy and research to resolve them before they go to court.
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http://dx.doi.org/10.1016/j.accpm.2024.101463 | DOI Listing |
Sci Rep
January 2025
Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, 100094, China.
Land Surface Temperature (LST) is widely recognized as a sensitive indicator of climate change, and it plays a significant role in ecological research. The ERA5-Land LST dataset, developed and managed by the European Centre for Medium-Range Weather Forecasts (ECMWF), is extensively used for global or regional LST studies. However, its fine-scale application is limited by its low spatial resolution.
View Article and Find Full Text PDFBackground: Multi-cancer early detection (MCED) through a single blood test significantly advances cancer diagnosis. However, most MCED tests rely on a single type of biomarkers, leading to limited sensitivity, particularly for early-stage cancers. We previously developed SPOT-MAS, a multimodal ctDNA-based assay analyzing methylation and fragmentomic profiles to detect five common cancers.
View Article and Find Full Text PDFAnaesth Crit Care Pain Med
December 2024
Centre de Recherche des Cordeliers, Sorbonne Université, Université, Paris Cité, Inserm, Laboratoire ETREs, Paris, France; Unité Fonctionnelle d'Ethique Médicale, Hôpital Necker-Enfants malades, AP-HP, Paris, France.
Context: In European and Anglo-Saxon countries, life-sustaining treatment (LST) limitation decisions precede more than 80% of ICU deaths. However, there is now increasing evidence of disagreement and conflict between clinical teams and family members over LST limitation decisions. In some cases, these conflicts are brought to the courts.
View Article and Find Full Text PDFNat Commun
December 2024
Department of Natural Resources and the Environment, University of Connecticut, Storrs, CT, USA.
Converting natural vegetation to croplands alters the local land surface energy budget. Here, we use two decades of satellite data and a physics-based framework to analyse the biophysical mechanisms by which croplands influence daily mean land surface temperature (LST). Globally, 60% of croplands exhibit an annual warming effect, while 40% have a cooling effect compared to their surrounding natural ecosystems.
View Article and Find Full Text PDFSensors (Basel)
November 2024
Department of ICT Integrated Ocean Smart Cities Engineering, Dong-A University, Busan 49315, Republic of Korea.
The near-surface air temperature (NSAT) is crucial for understanding thermal and urban environments. Traditional estimation methods using general remote sensing images often focus on the types of spatial data or machine learning models used, neglecting the importance of seasonal and temporal variations, limiting their accuracy. This study introduces a novel ensemble model that incorporates both seasonal and temporal information integrated with satellite-derived land surface temperature (LST) data to enhance NSAT estimation, along with a rigorous feature importance analysis to identify the most impactful parameters.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!