Purpose: Intensive care interventions that prolong life without achieving meaningful benefit are considered clinically "inappropriate". In 2012, the frequency of perceived-inappropriate critical care was 10.8% at one academic health system; and we aimed to re-evaluate this frequency.
Methods: For 4 months in 2017, we surveyed critical care physicians daily and asked whether each patient was receiving appropriate, probably inappropriate, or inappropriate critical care. Patients were categorized into three groups: 1) patients for whom treatment was never inappropriate, 2) patients with at least one assessment that treatment was probably inappropriate, but no inappropriate treatment assessments, and 3) patients who had at least one assessment of inappropriate treatment.
Results: Fifty-five physicians made 10,105 assessments on 1424 patients. Of these, 94 (6.6%) patients received at least one assessment of inappropriate critical care, which is lower than 2012 (10.8% (p < 0.01)). Comparing 2017 and 2012, patient age, MS-DRG, length of stay, and hospital mortality were not significantly different (p > 0.05). Inpatient mortality in 2017 was 73% for patients receiving inappropriate critical care.
Conclusions: Over five years the proportion of patients perceived to be receiving inappropriate critical care dropped by 40%. Understanding the reasons for such change might elucidate how to continue to reduce inappropriate critical care.
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http://dx.doi.org/10.1016/j.jcrc.2020.08.028 | DOI Listing |
Am J Emerg Med
January 2025
Faculty of Medicine, Universidad de Valladolid, Valladolid, Spain; Emergency Department, Hospital Clínico Universitario, Gerencia Regional de Salud de Castilla y León, Valladolid, Spain.
Background: The study of the inclusion of new variables in already existing early warning scores is a growing field. The aim of this work was to determine how capnometry measurements, in the form of end-tidal CO2 (ETCO2) and the perfusion index (PI), could improve the National Early Warning Score (NEWS2).
Methods: A secondary, prospective, multicenter, cohort study was undertaken in adult patients with unselected acute diseases who needed continuous monitoring in the emergency department (ED), involving two tertiary hospitals in Spain from October 1, 2022, to June 30, 2023.
J Nurs Adm
December 2024
Author Affiliations: Research Associate (Dr Keys), The Center for Health Design, Concord, California; National Senior Director (Dr Fineout-Overholt), Evidence-Based Practice and Implementation Science, at Ascension in St. Louis, MO.
Objective: Relationships among coworker and patient visibility, reactions to physical work environment, and work stress in ICU nurses are explored.
Background: Millions of dollars are invested annually in the building or remodeling of ICUs, yet there is a gap in understanding relationships between the physical layout of nursing units and work stress.
Methods: Using a cross-sectional, correlational, exploratory, predictive design, relationships among variables were studied in a diverse sample of ICU nurses.
J Neurosurg Anesthesiol
November 2024
Department of Anesthesiology and Pain Medicine, University of Washington, Seattle, WA.
This systematic review aimed to identify and describe best practice for the intraoperative anesthetic management of patients undergoing emergent/urgent decompressive craniotomy or craniectomy for any indication. The PubMed, Scopus, EMBASE, and Cochrane databases were searched for articles related to urgent/emergent craniotomy/craniectomy for intracranial hypertension or brain herniation. Only articles focusing on intraoperative anesthetic management were included; those investigating surgical or intensive care unit management were excluded.
View Article and Find Full Text PDFObjective: The aim of this study is to test the feasibility of a custom 3D-printed guide for performing a minimally invasive cochleostomy for cochlear implantation.
Study Design: Prospective performance study.
Setting: Secondary care.
PLoS One
January 2025
Department of Biomedical and Health Informatics, Tsui Laboratory, Children's Hospital of Philadelphia, Philadelphia, PA, United States of America.
Semantical text understanding holds significant importance in natural language processing (NLP). Numerous datasets, such as Quora Question Pairs (QQP), have been devised for this purpose. In our previous study, we developed a Siamese Convolutional Neural Network (S-CNN) that achieved an F1 score of 82.
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