Objective: To determine whether mild or moderate hypoglycemia that occurs in critically ill patients is independently associated with an increased risk of death.
Patients And Methods: Of patients admitted to 2 hospital intensive care units (ICUs) in Melbourne and Sydney, Australia, from January 1, 2000, to October 14, 2004, we analyzed all those who had at least 1 episode of hypoglycemia (glucose concentration, <81 mg/dL). The independent association between hypoglycemia and outcome was statistically assessed.
Results: Of 4946 patients admitted to the ICUs, a cohort of 1109 had at least 1 episode of hypoglycemia (blood glucose level, <81 mg/dL). Of these 1109 patients (22.4% of all admissions to the intensive care unit), hospital mortality was 36.6% compared with 19.7% in the 3837 nonhypoglycemic control patients (P<.001). Even patients with a minimum blood glucose concentration between 72 and 81 mg/dL had a greater unadjusted mortality rate than did control patients (25.9% vs 19.7%; unadjusted odds ratio, 1.42; 95% confidence interval, 1.12-1.80; P=.004.) Mortality increased significantly with increasing severity of hypoglycemia (P<.001). After adjustment for insulin therapy, hypoglycemia was independently associated with increased risk of death, cardiovascular death, and death due to infectious disease.
Conclusion: In critically ill patients, an association exists between even mild or moderate hypoglycemia and mortality. Even after adjustment for insulin therapy or timing of hypoglycemic episode, the more severe the hypoglycemia, the greater the risk of death.
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http://dx.doi.org/10.4065/mcp.2009.0394 | DOI Listing |
Ann Intensive Care
January 2025
Service de Médecine Intensive-Réanimation, Hôpital de Bicêtre, DMU CORREVE, Inserm UMR S_999, FHU SEPSIS, Groupe de Recherche Clinique CARMAS, Université Paris-Saclay, AP-HP, Le Kremlin-Bicêtre, France.
Background: Excessive tachycardia is associated with impaired hemodynamics and worse outcome in critically ill patients. Previous studies suggested beneficial effect of β-blockers administration in ICU patients, including those with septic shock. However, comparisons in ICU settings are lacking.
View Article and Find Full Text PDFJ Intensive Care
January 2025
Department of Emergency and Critical Care Medicine, Chiba University Graduate School of Medicine, 1-8-1 Inohana, Chiba, 260-8677, Japan.
Background: Interleukin-6 (IL-6) is a cytokine that predicts clinical outcomes in critically ill patients, including those with sepsis. Elderly patients have blunted and easily dysregulated host responses to infection, which may influence IL-6 kinetics and alter the association between IL-6 levels and clinical outcomes.
Methods: This retrospective observational study included patients aged ≥ 16 years who were admitted to the intensive care unit at Chiba University Hospital.
Med Intensiva (Engl Ed)
January 2025
Unidad de Cuidados Intensivos, Hospital Universitario de Getafe, Getafe, Madrid, Spain.
Objective: To evaluate the intrarater and interrater reliability of the Clinical Frailty Scale-Spain (CFS-España) and FRAIL-España and the internal consistency of the FRAIL-España when implemented in critically ill patients by intensive care nurses and physicians.
Design: Descriptive, observational and metric study.
Setting: intensive care unit (ICU) of Spain.
J Cardiothorac Vasc Anesth
December 2024
Department of Anesthesia and Intensive Care, IRCCS San Raffaele Scientific Institute, Milan, Italy; School of Medicine, Vita-Salute San Raffaele University, Milan, Italy. Electronic address:
Objectives: To summarize evidence regarding intravenous angiotensin II administration in critical illness and provide an updated understanding of its effects on various organ dysfunction and renin-angiotensin system (RAS) biomarkers.
Design: A systematic review.
Setting: A search of PubMed, Embase, and the Cochrane Library from inception to May 3, 2024.
Open Heart
January 2025
Department of Molecular and Clinical Medicine, University of Gothenburg Institute of Medicine, Gothenburg, Sweden.
Purpose: We examined whether end-to-end deep-learning models could detect moderate (≥50%) or severe (≥70%) stenosis in the left anterior descending artery (LAD), right coronary artery (RCA) or left circumflex artery (LCX) in iodine contrast-enhanced ECG-gated coronary CT angiography (CCTA) scans.
Methods: From a database of 6293 CCTA scans, we used pre-existing curved multiplanar reformations (CMR) images of the LAD, RCA and LCX arteries to create end-to-end deep-learning models for the detection of moderate or severe stenoses. We preprocessed the images by exploiting domain knowledge and employed a transfer learning approach using EfficientNet, ResNet, DenseNet and Inception-ResNet, with a class-weighted strategy optimised through cross-validation.
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