Trial reportCritical care (London, England)2012
Glycemic variability and glucose complexity in critically ill patients: a retrospective analysis of continuous glucose monitoring data.
Trial report in Critical care (London, England), 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 51 papers, 1 of them a synthesis that pooled it.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
51 citing papers in PubMed, 1 synthesis or guideline pooled it, 103 citations in OpenAlex.
- Effects of Continuous Versus Intermittent Glucose Monitoring in Intensive Care Unit Patients: A Systematic Review With Meta-Analysis.Acta anaesthesiologica Scandinavica · 2026Pooled it
- Single-dose dexamethasone increases perioperative glycemic variability in older patients with diabetes undergoing lung surgery: a continuous glucose monitoring-based randomized controlled trial.Frontiers in medicine · 2026Trial
- Dynamical glucometry: use of multiscale entropy analysis in diabetes.Chaos (Woodbury, N.Y.) · 2014Trial
- Accuracy of a novel noninvasive transdermal continuous glucose monitor in critically ill patients.Journal of diabetes science and technology · 2014Trial
- An Inverted U-shaped Relationship between Glycemic Variability and Mortality in Patients with Severe Pulmonary Embolism: A Retrospective Study.Journal of atherosclerosis and thrombosis · 2026Article
- Non-diabetic hypoglycemia: bridging gaps in diagnosis and treatment: a position statement report by the Arabic Association for the Study of Diabetes and Metabolism (AASD).Cardiovascular diabetology. Endocrinology reports · 2025Review
- Continuous interstitial glucose monitoring in diabetic and non-diabetic critically ill patients is simple and accurate: comparison with venous, arterial and capillary glucose measurements.Acta diabetologica · 2025Observational
- Time-Lagged Effects of Hyperglycemia on Inflammation in Older Adults with Community-Acquired Pneumonia: Nutritional Insights and Personalized Intervention Windows.Clinical interventions in aging · 2025Article
- The complexity of glucose time series is associated with short- and long-term mortality in critically ill adults: a multi-center, prospective, observational study.Journal of endocrinological investigation · 2024Observational
- High blood glucose variability may predict poor outcomes in patients with spontaneous cerebellar hemorrhage undergoing surgical operation: a retrospective study.BMC neurology · 2024Article
- Simultaneous assessment of stress hyperglycemia ratio and glycemic variability to predict mortality in patients with coronary artery disease: a retrospective cohort study from the MIMIC-IV database.Cardiovascular diabetology · 2024Article
- Glycemic Variability As a Prognostic Factor for Mortality in Patients With Critical Illness: A Systematic Review and Meta-Analysis.Critical care explorations · 2024Review
- Insights on the role of L-lactate as a signaling molecule in skin aging.Biogerontology · 2023Review
- Impact of the Complexity of Glucose Time Series on All-Cause Mortality in Patients With Type 2 Diabetes.The Journal of clinical endocrinology and metabolism · 2023Article
- Effect of Treatment and Nutrition on Glycemic Variability in Critically Ill Patients.International journal of environmental research and public health · 2022Article
- Clinical relevance of glucose metrics during the early brain injury period after aneurysmal subarachnoid hemorrhage: An opportunity for continuous glucose monitoring.Frontiers in neurology · 2022Review
- Subcutaneous continuous glucose monitoring in critically ill patients during insulin therapy: a meta-analysis.American journal of translational research · 2022Article
- Safety and Accuracy of Factory-Calibrated Continuous Glucose Monitoring in Pediatric Patients Undergoing Hematopoietic Stem Cell Transplantation.Diabetes technology & therapeutics · 2020Observational
- Dynamic properties of glucose complexity during the course of critical illness: a pilot study.Journal of clinical monitoring and computing · 2020Observational
- Higher glycemic variability within the first day of ICU admission is associated with increased 30-day mortality in ICU patients with sepsis.Annals of intensive care · 2020Article
Corrections and comments
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Authors and funding
5 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionGlycemic variability as a marker of endogenous and exogenous factors, and glucose complexity as a marker of endogenous glucose regulation are independent predictors of mortality in critically ill patients. We evaluated the impact of real time continuous glucose monitoring (CGM) on glycemic variability in critically ill patients on intensive insulin therapy (IIT), and investigated glucose complexity--calculated using detrended fluctuation analysis (DFA)--in ICU survivors and non-survivors.
methodsRetrospective analysis were conducted of two prospective, randomized, controlled trials in which 174 critically ill patients either received IIT according to a real-time CGM system (n = 63) or according to an algorithm (n = 111) guided by selective arterial blood glucose measurements with simultaneously blinded CGM for 72 hours. Standard deviation, glucose lability index and mean daily delta glucose as markers of glycemic variability, as well as glucose complexity and mean glucose were calculated.
resultsGlycemic variability measures were comparable between the real time CGM group (n = 63) and the controls (n = 111). Glucose complexity was significantly lower (higher DFA) in ICU non-survivors (n = 36) compared to survivors (n = 138) (DFA: 1.61 (1.46 to 1.68) versus 1.52 (1.44 to 1.58); P = 0.003). Diabetes mellitus was significantly associated with a loss of complexity (diabetic (n = 33) versus non-diabetic patients (n = 141) (DFA: 1.58 (1.48 to 1.65) versus 1.53 (1.44 to 1.59); P = 0.01).
conclusionsIIT guided by real time CGM did not result in significantly reduced glycemic variability. Loss of glucose complexity was significantly associated with mortality and with the presence of diabetes mellitus.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.