ArticleJournal of diabetes science and technology2015
The impact of measurement frequency on the domains of glycemic control in the critically ill--a Monte Carlo simulation.
Article in Journal of diabetes science and technology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.
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Who cites it
23 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Glycaemic control targets after traumatic brain injury: a systematic review and meta-analysis.Critical care (London, England) · 2018Pooled it
- Trial
- Comparison of Space Glucose Control and Routine Glucose Management Protocol for Glycemic Control in Critically Ill Patients: A Prospective, Randomized Clinical Study.Chinese medical journal · 2017Trial
- Moving beyond the empty cell: The threat of decontextualized healthcare data.PLOS digital health · 2026Review
- Variation in monitoring: Glucose measurement in the ICU as a case study to preempt spurious correlations.Journal of biomedical informatics · 2024Observational
- Clinical practice guidelines for nutritional assessment and monitoring of adult ICU patients in China.Journal of intensive medicine · 2024Article
- Use of Continuous Glucose Monitors in the Hospital: The Diabetes Technology Society Hospital Meeting Report 2023.Journal of diabetes science and technology · 2023Article
- Expert consensus on the glycemic management of critically ill patients.Journal of intensive medicine · 2022Article
- Subcutaneous continuous glucose monitoring in critically ill patients during insulin therapy: a meta-analysis.American journal of translational research · 2022Article
- Glycemic targets in critically ill adults: A mini-review.World journal of diabetes · 2021Review
- Facilitators and Barriers to Nursing Implementation of Continuous Glucose Monitoring (CGM) in Critically Ill Patients With COVID-19.Endocrine practice : official journal of the American College of Endocrinology and the American Association of Clinical Endocrinologists · 2021Article
- Fifteen-minute Frequency of Glucose Measurements and the Use of Threshold Alarms: Impact on Mitigating Dysglycemia in Critically Ill Patients.Journal of diabetes science and technology · 2021Article
- Risk and reward: extending stochastic glycaemic control intervals to reduce workload.Biomedical engineering online · 2020Article
- Inadequate Reporting of Analytical Characteristics of Biomarkers Used in Clinical Research: A Threat to Interpretation and Replication of Study Findings.Clinical chemistry · 2019Article
- Toward a Framework for Outcome-Based Analytical Performance Specifications: A Methodology Review of Indirect Methods for Evaluating the Impact of Measurement Uncertainty on Clinical Outcomes.Clinical chemistry · 2019Review
- Next-generation, personalised, model-based critical care medicine: a state-of-the art review of in silico virtual patient models, methods, and cohorts, and how to validation them.Biomedical engineering online · 2018Review
- Continuous glucose monitoring in the ICU: clinical considerations and consensus.Critical care (London, England) · 2017Review
- Untangling glycaemia and mortality in critical care.Critical care (London, England) · 2017Article
- Round Table Discussion on Inpatient Use of Continuous Glucose Monitoring at the International Hospital Diabetes Meeting.Journal of diabetes science and technology · 2016Article
- Simulation and qualitative analysis of glucose variability, mean glucose, and hypoglycemia after subcutaneous insulin therapy for stress hyperglycemia.Theoretical biology & medical modelling · 2016Article
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The role of blood glucose (BG) measurement frequency on the domains of glycemic control is not well defined. This Monte Carlo mathematical simulation of glycemic control in a cohort of critically ill patients modeled sets of 100 patients with simulated BG-measuring devices having 5 levels of measurement imprecision, using 2 published insulin infusion protocols, for 200 hours, with 3 different BG-measurement intervals-15 minutes (Q15'), 1 hour (Q1h), and 2 hours (Q2h)-resulting in 1,100,000 BG measurements for 3000 simulated patients. The model varied insulin sensitivity, initial BG value and rate of gluconeogenesis. The primary outcomes included rates of hyperglycemia (BG > 180 mg/dL), hypoglycemia (BG < 70 and 40 mg/dL), proportion of patients with elevated glucose variability (within-patient coefficient of variation [CV] > 20%), and time in range (BG ranges 80-150 mg/dL and 80-180 mg/dL). Percentages of hyperglycemia, hypoglycemia at both thresholds, and patients with elevated glucose variability as well as time outside glycemic targets were substantially higher in simulations with measurement interval Q2h compared to those with measurement interval Q1h and moderately higher in simulations with Q1h than in those with Q15'. Higher measurement frequency mitigated the deleterious effect of high measurement imprecision, defined as CV ≥ 15%. This Monte Carlo simulation suggests that glycemic control in critically ill patients is more optimal with a BG measurement interval no longer than 1h, with further benefit obtained with use of measurement interval of 15'. These findings have important implications for the development of glycemic control standards.
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