The DOI matches its Crossref record; 12 of the 12 references it cites were found in a registry or an index.
Perioperative Glycemic Control: An Evidence-based Review
Abstract
Hyperglycemia in perioperative patients has been identified as a risk factor for morbidity and mortality. Intensive insulin therapy (IIT) has been shown to reduce morbidity and mortality among the critically ill, decrease infection rates and improve survival after cardiac surgery, and improve outcomes in acute neurologic injury and acute myocardial infarction. However, recent evidence of severe hypoglycemia and adverse events associated with IIT brings its safety and efficacy into question. In this article, we summarize the mechanisms and rationale of hyperglycemia and IIT, review the evidence behind the use of IIT in the perioperative period, and discuss the implications of including glycemic control in national quality benchmarks. We conclude that while avoidance of hyperglycemia is clearly beneficial, the appropriate glucose target and specific subpopulations who might benefit from IIT have yet to be identified. Given the potential for harm, inclusion of glucose targets in national quality benchmarks is premature.
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Cites
Hyperglycemia and adverse pregnancy outcomes
(2008) · New England Journal of Medicine · doi:10.1056/nejmoa0707943 · Cited by 5,563
Intensive versus Conventional Glucose Control in Critically Ill Patients
(2009) · New England Journal of Medicine · doi:10.1056/nejmoa0810625 · Cited by 5,119
Intensive insulin therapy in the medical ICU
Van den Berghe, G., Wilmer, A., Hermans, G., Meersseman, W., Wouters, P. J., Milants, I., Van Wijngaerden, E., Bobbaers, H., & Bouillon, R. (2006) · New England Journal of Medicine · doi:10.1056/nejmoa052521 · Cited by 3,639
Metformin versus insulin for the treatment of gestational diabetes
Rowan, J. A., Hague, W. M., Gao, W., Battin, M. R., & Moore, M. P. (2008) · New England Journal of Medicine · doi:10.1056/nejmoa0707193 · Cited by 1,291
McCowen, K. C., Malhotra, A., & Bistrian, B. R. (2001) · Critical Care Clinics · doi:10.1016/s0749-0704(05)70154-8 · Cited by 1,170
Cryer, P. E., Davis, S. N., & Shamoon, H. (2003) · Diabetes Care · doi:10.2337/diacare.26.6.1902 · Cited by 1,160 · cited 1×
“In diabetic patients, hypoglycemia is associated with neurogenic and neuroglycopenic symptoms, including seizure, coma, or even death.(33) Case reports describe seizures and coma after severe, prolonged hypoglycemia in ICU patients; however, little is known about the effects of short-term accidental hypoglycemia in th…”
BackgroundSevere hypoglycemia in critically ill patients: risk factors and outcomes
Krinsley, J. S., & Grover, A. (2007) · Critical Care Medicine · doi:10.1097/01.ccm.0000282073.98414.4b · Cited by 671
Hyperglycemia and Adverse Pregnancy Outcomes
Metzger, B. E., Lowe, L. P., Dyer, A. R., Trimble, E. R., Chaovarindr, U., Coustan, D. R., Hadden, D. R., McCance, D. R., Hod, M., McIntyre, H. D., et al. (2009) · Obstetric Anesthesia Digest · doi:10.1097/01.aoa.0000344706.95925.dc · Cited by 479
Management of Hyperglycemia in the Hospital Setting
Inzucchi, S. E. (2006) · New England Journal of Medicine · doi:10.1056/nejmcp060094 · Cited by 391
Malmberg, K., Ryden, L., Hamstent, A., Herlitz, J., Waldenstrom, A., Wedel, H., & on behalf of the DIGAMI study group (1996) · European Heart Journal · doi:10.1093/oxfordjournals.eurheartj.a015067 · Cited by 281
Cited by
Joliat, G., Kobayashi, K., Hasegawa, K., Thomson, J., Padbury, R., Scott, M., Brustia, R., Scatton, O., Tran Cao, H. S., Vauthey, J., et al. (2023) · World Journal of Surgery · doi:10.1007/s00268-022-06732-5 · Cited by 330
Demma, L. J., Carlson, K. T., Duggan, E. W., Morrow, J. G., & Umpierrez, G. (2017) · Journal of Clinical Anesthesia · doi:10.1016/j.jclinane.2016.10.003 · Cited by 55
Metadata
- Authors
- Lipshutz, A. K. M., Gropper, M. A., Warner, D. S., & Warner, M. A.
- Venue
- Anesthesiology
- Published
- 2009-02-01
- Volume
- 110
- Issue
- 2
- Pages
- 408-421
- ISSN
- 0003-3022 (ISSN-L)
- OpenAlex
- W2083935875
- Cited by
- 259
- References
- 12
- FWCI
- 20.44
- Type
- journal article
- Language
- en
- Open access
- closed
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- Lipshutz, A. K. M., Gropper, M. A., Warner, D. S., & Warner, M. A. (2009). Perioperative Glycemic Control: An Evidence-based Review. Anesthesiology. https://doi.org/10.1097/aln.0b013e3181948a80
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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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