The DOI matches its Crossref record; 31 of the 31 references it cites were found in a registry or an index.
Hyperglycaemic index as a tool to assess glucose control: a retrospective study
Open accessAbstract
Introduction: Critically ill patients may benefit from strict glucose control. An objective measure of hyperglycaemia for assessing glucose control in acutely ill patients should reflect the magnitude and duration of hyperglycaemia, should be independent of the number of measurements, and should not be falsely lowered by hypoglycaemic values. The time average of glucose values above the normal range meets these requirements. Methods: A retrospective, single-centre study was performed at a 12-bed surgical intensive care unit. From 1990 through 2001 all patients over 15 years, staying at least 4 days, were included. Admission type, sex, age, Acute Physiology and Chronic Health Evaluation II score and outcome were recorded. The hyperglycaemic index (HGI) was defined as the area under the curve above the upper limit of normal (glucose level 6.0 mmol/l) divided by the total length of stay. HGI, admission glucose, mean morning glucose, mean glucose and maximal glucose were calculated for each patient. The relations between these measures and 30-day mortality were determined. Results: In 1779 patients with a median stay in the intensive care unit of 10 days, the 30-day mortality was 17%. A total of 65,528 glucose values were analyzed. Median HGI was 0.9 mmol/l (interquartile range 0.3–2.1 mmol/l) in survivors versus 1.8 mmol/l (interquartile range 0.7–3.4 mmol/l) in nonsurvivors (P < 0.001). The area under the receiver operator characteristic curve was 0.64 for HGI, as compared with 0.61 and 0.62 for mean morning glucose and mean glucose. HGI was the only significant glucose measure in binary logistic regression. Conclusion: HGI exhibited a better relation with outcome than other glucose indices. HGI is a useful measure of glucose control in critically ill patients.
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Hyperglycemia: an independent marker of in-hospital mortality in patients with undiagnosed diabetes
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Glucose Control and Mortality in Critically Ill Patients
Finney, S. J. (2003) · JAMA · doi:10.1001/jama.290.15.2041 · Cited by 1,055
Early Postoperative Glucose Control Predicts Nosocomial Infection Rate in Diabetic Patients
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Cited by
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
Preiser, J.-C., Devos, P., Ruiz-Santana, S., Mélot, C., Annane, D., Groeneveld, J., Iapichino, G., Leverve, X., Nitenberg, G., Singer, P., et al. (2009) · Intensive Care Medicine · doi:10.1007/s00134-009-1585-2 · Cited by 911
Weijs, P. J. M., Stapel, S. N., de Groot, S. D. W., Driessen, R. H., de Jong, E., Girbes, A. R. J., Strack van Schijndel, R. J. M., & Beishuizen, A. (2012) · Journal of Parenteral and Enteral Nutrition · doi:10.1177/0148607111415109 · Cited by 408
Kosiborod, M., Inzucchi, S. E., Krumholz, H. M., Xiao, L., Jones, P. G., Fiske, S., Masoudi, F. A., Marso, S. P., & Spertus, J. A. (2008) · Circulation · doi:10.1161/circulationaha.107.740498 · Cited by 385
Tight glycaemic control by an automated algorithm with time-variant sampling in medical icu patients
Pachler, C., Plank, J., Weinhandl, H., Chassin, L. J., Wilinska, M. E., Kulnik, R., Kaufmann, P., Smolle, K.-H., Pilger, E., Pieber, T. R., et al. (2008) · Intensive Care Medicine · doi:10.1007/s00134-008-1033-8 · Cited by 82
Metadata
- Authors
- Vogelzang, M., van der Horst, I. C., & Nijsten, M. W.
- Venue
- Critical Care
- Published
- 2004-03-15
- Volume
- 8
- Issue
- 3
- Pages
- R122-7
- ISSN
- 1364-8535 (ISSN-L)
- OpenAlex
- W2134129601
- Cited by
- 507
- References
- 31
- FWCI
- 43.31
- Type
- journal article
- Language
- en
- Open access
- gold
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