The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Experience with the Continuous Glucose Monitoring System® in a Medical Intensive Care Unit
Abstract
Strict glycemic control improves clinical outcomes in critically ill patients. However, practical tools for frequent monitoring of blood glucose (BG) levels in the intensive care unit (ICU) are limited. The Continuous Glucose Monitoring System (CGMS, Medtronic MiniMed, Northridge, CA) is currently approved for detecting glycemic excursions in outpatients with diabetes mellitus. The use of this device has never been carefully examined in the inpatient setting. This preliminary study was designed to investigate the accuracy of the CGMS in critically ill patients admitted to a medical ICU (MICU). Subjects at risk for hyperglycemia were recruited from among all patients admitted to our MICU. CGMS sensors were implanted for up to 72 h. Study subjects wore between one and five consecutive sensors. Four or more standard capillary BG readings were recorded per 24 h. All paired meter-sensor (M-S) readings were used both for CGMS calibration and for data analysis. Twenty-two MICU patients wore 41 CGMS sensors, yielding 546 M-S BG pairs. Overall, the Pearson correlation coefficient ( r ) was 0.88, with a mean M-S difference of 3.3 +/- 26.7 mg/dL (0.6 +/- 17.4%) and a mean absolute M-S difference of 19.7 +/- 18.3 mg/dL (12.8 +/- 11.9%). Clarke Error Grid analysis categorized 98.7% of the M-S pairs within "clinically acceptable" zones A and B. The CGMS is promising for potential use in critically ill patients. If validated in larger studies, the device could serve as a useful research tool for investigating the role of hyperglycemia (and strict glycemic control) in ICU patients. If further developed as a "real-time" glucose sensor, CGMS technology could ultimately prove clinically useful in the ICU, by decreasing nursing workload and/or by providing alarm signals for impending glycemic excursions.
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Cites
STATISTICAL METHODS FOR ASSESSING AGREEMENT BETWEEN TWO METHODS OF CLINICAL MEASUREMENT
Martin Bland, J., & Altman, D. (1986) · The Lancet · doi:10.1016/s0140-6736(86)90837-8 · Cited by 47,965
Cited by
Standards of medical care in diabetes 2010
American Diabetes Association (2010) · Diabetes Care · doi:10.2337/dc10-s011 · Cited by 3,470
Moghissi, E. S., Korytkowski, M. T., DiNardo, M., Einhorn, D., Hellman, R., Hirsch, I. B., Inzucchi, S. E., Ismail-Beigi, F., Kirkman, M. S., & Umpierrez, G. E. (2009) · Diabetes Care · doi:10.2337/dc09-9029 · Cited by 1,444
Self-citationAssessing Glycemia in Diabetes Using Self-monitoring Blood Glucose and Hemoglobin A 1c
Saudek, C. D., Derr, R. L., & Kalyani, R. R. (2006) · JAMA · doi:10.1001/jama.295.14.1688 · Cited by 373
Continuous glucose monitoring: an Endocrine Society Clinical Practice Guideline
Klonoff, D. C., Buckingham, B., Christiansen, J. S., Montori, V. M., Tamborlane, W. V., Vigersky, R. A., & Wolpert, H. (2011) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jc.2010-2756 · Cited by 211
Continuous glucose monitors and automated insulin dosing systems in the hospital consensus guideline
Galindo, R. J., Umpierrez, G. E., Rushakoff, R. J., Basu, A., Lohnes, S., Nichols, J. H., Spanakis, E. K., Espinoza, J., Palermo, N. E., Awadjie, D. G., et al. (2020) · Journal of Diabetes Science and Technology · doi:10.1177/1932296820954163 · Cited by 170
Metadata
- Authors
- Goldberg, P. A., Siegel, M. D., Russell, R. R., Sherwin, R. S., Halickman, J. I., Cooper, D. A., Dziura, J. D., & Inzucchi, S. E.
- Venue
- Diabetes Technology & Therapeutics
- Publisher
- SAGE Publications
- Published
- 2004-06
- Volume
- 6
- Issue
- 3
- Pages
- 339-347
- ISSN
- 1520-9156 (ISSN-L)
- 1557-8593
- OpenAlex
- W2173660670
- Cited by
- 158
- References
- 1
- FWCI
- 6.87
- Type
- journal article
- Language
- en
- Open access
- closed
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- Goldberg, P. A., Siegel, M. D., Russell, R. R., Sherwin, R. S., Halickman, J. I., Cooper, D. A., Dziura, J. D., & Inzucchi, S. E. (2004). Experience with the Continuous Glucose Monitoring System® in a Medical Intensive Care Unit. Diabetes Technology & Therapeutics. https://doi.org/10.1089/152091504774198034
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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