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Differences in Care and Outcomes in Cardiogenic Shock in Cardiac Intensive Care Units in the United States and Canada: CCCTN Registry Insights.
Can J Cardiol
January 2025
Centre for Cardiovascular Innovation and Division of Cardiology, Vancouver General Hospital, University of British Columbia, Vancouver, British Columbia, Canada.
Background: Mortality in cardiogenic shock (CS) remains high. Significant inter-hospital heterogeneity in critical care therapies have been described, which reflects the lack of high-quality evidence to guide optimal treatment. We aimed to describe differences in practices and clinical outcomes among patients with CS in the United States (US) and Canada.
View Article and Find Full Text PDFSummary of the Best Evidence for Non-Pharmacological Management of Sleep Disturbances in Intensive Care Unit Patients.
J Clin Nurs
January 2025
Department of Nursing, Shanghai East Hospital, School of Medicine, Tongji University, Shanghai, China.
Aim: To retrieve, evaluate and summarise the best evidence for non-pharmacological management of sleep disturbances in ICU patients, and to provide basis for clinical nursing practice.
Design: This study was an evidence summary followed by the evidence summary reporting standard of Fudan University Center for Evidence-based Nursing.
Methods: All evidence on non-pharmacological management of sleep disturbances in ICU patients from both domestic and international databases and relevant websites was systematically searched, including guidelines, expert consensuses, best practice, clinical decision-making, evidence summaries and systematic review.
Eligibility Criteria of Randomized Clinical Trials in Critical Care Medicine.
JAMA Netw Open
January 2025
Interdepartmental Division of Critical Care Medicine, University of Toronto, Toronto, Ontario, Canada.
Importance: Eligibility criteria for randomized clinical trials (RCTs) are designed to select clinically relevant patient populations. However, not all eligibility criteria are strongly justified, potentially excluding marginalized groups, and limiting the generalizability of trial findings.
Objective: To summarize and evaluate the justification of exclusion criteria in published RCTs in critical care medicine.
Understanding ICU Nursing Knowledge, Perceived Barriers, and Facilitators of Sepsis Recognition and Management: A Cross-Sectional Study.
Crit Care Explor
January 2025
Department of Critical Care Medicine, Alberta Health Services, AB, Canada.
Importance: Nursing workforce changes, knowledge translation gaps, and environmental/organizational barriers may impact sepsis recognition and management within the ICU.
Objectives: To: 1) evaluate current ICU nursing knowledge of sepsis recognition and management, 2) explore individual and environmental or organizational factors impacting nursing recognition and management of sepsis using the Theoretical Domains Framework (TDF), and 3) describe perceived barriers and facilitators to nursing recognition and management of patients with sepsis.
Design, Setting, And Participants: This cross-sectional survey was administered to nurses working in four general system ICUs between October 24, 2023, and January 30, 2024.
Identifying biomarker-driven subphenotypes of cardiogenic shock: analysis of prospective cohorts and randomized controlled trials.
EClinicalMedicine
January 2025
University of Paris Cité, Inserm UMR-S 942, Cardiovascular Markers in Stress Conditions (MASCOT), Paris, France.
Background: Cardiogenic shock (CS) is a heterogeneous clinical syndrome, making it challenging to predict patient trajectory and response to treatment. This study aims to identify biological/molecular CS subphenotypes, evaluate their association with outcome, and explore their impact on heterogeneity of treatment effect (ShockCO-OP, NCT06376318).
Methods: We used unsupervised clustering to integrate plasma biomarker data from two prospective cohorts of CS patients: CardShock (N = 205 [2010-2012, NCT01374867]) and the French and European Outcome reGistry in Intensive Care Units (FROG-ICU) (N = 228 [2011-2013, NCT01367093]) to determine the optimal number of classes.
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