Objective: Evaluation of the effects of tight glycemia control in critically ill patients should include temporal as well as punctual glycemia data. Methods: Insulin drip was used to target intensive care unit (ICU) glucose levels between 80 and 126mgdl(-1) in a consecutive series of adult cardiac surgery patients. ICU hourly glycemia was prospectively recorded. Glycemia standard deviation, hyperglycemia index (area under the curve for glycemia>126mgdl(-1) divided by total hours in ICU), and hypoglycemic episodes were recorded and analyzed, together with outcomes. Results: A total of 596 patients were included. Hypoglycemia occurred in 21% of the patients. In-hospital mortality was 2.6%. There was a univariate correlation between mortality and glycemia standard deviation, and hypoglycemia occurrence. At multivariate analysis, hypoglycemia was a determinant for mortality (p=0.002; odds ratio (OR)=20.0), respiratory failure (p=0.0001; OR=1.4), requirement of a tracheostomy (p=0.0001; OR=21.6), and hemodynamic instability requiring intra-aortic balloon pump (IABP) (p=0.01; OR=1.5). To clarify the determinants of hypoglycemia, a second multivariate model was built. Diabetes (p=0.0001; OR=23) and chronic renal failure (p=0.01; OR=25) were the sole determinants for hypoglycemia occurrence. Conclusion: Iatrogenic hypoglycemia secondary to ICU tight glycemia control correlates with hospital mortality, respiratory, and cardiac morbidity in patients undergoing cardiac surgery. ICU hyperglycemia index and glycemia temporal variability have no independent correlation with outcomes. Higher glycemia targets should be advised in the perioperative management of patients with diabetes and renal failure, as both conditions independently increase the risk of hypoglycemia occurrence.

Iatrogenic hypoglycemia secondary to tight glucose control is an independent determinant for mortality and cardiac morbidity

SACCHI, LUCIA;BELLAZZI, RICCARDO;
2011-01-01

Abstract

Objective: Evaluation of the effects of tight glycemia control in critically ill patients should include temporal as well as punctual glycemia data. Methods: Insulin drip was used to target intensive care unit (ICU) glucose levels between 80 and 126mgdl(-1) in a consecutive series of adult cardiac surgery patients. ICU hourly glycemia was prospectively recorded. Glycemia standard deviation, hyperglycemia index (area under the curve for glycemia>126mgdl(-1) divided by total hours in ICU), and hypoglycemic episodes were recorded and analyzed, together with outcomes. Results: A total of 596 patients were included. Hypoglycemia occurred in 21% of the patients. In-hospital mortality was 2.6%. There was a univariate correlation between mortality and glycemia standard deviation, and hypoglycemia occurrence. At multivariate analysis, hypoglycemia was a determinant for mortality (p=0.002; odds ratio (OR)=20.0), respiratory failure (p=0.0001; OR=1.4), requirement of a tracheostomy (p=0.0001; OR=21.6), and hemodynamic instability requiring intra-aortic balloon pump (IABP) (p=0.01; OR=1.5). To clarify the determinants of hypoglycemia, a second multivariate model was built. Diabetes (p=0.0001; OR=23) and chronic renal failure (p=0.01; OR=25) were the sole determinants for hypoglycemia occurrence. Conclusion: Iatrogenic hypoglycemia secondary to ICU tight glycemia control correlates with hospital mortality, respiratory, and cardiac morbidity in patients undergoing cardiac surgery. ICU hyperglycemia index and glycemia temporal variability have no independent correlation with outcomes. Higher glycemia targets should be advised in the perioperative management of patients with diabetes and renal failure, as both conditions independently increase the risk of hypoglycemia occurrence.
2011
Computer Science & Engineering includes resources on computer hardware and architecture, computer software, software engineering and design, computer graphics, programming languages, theoretical computing, computing methodologies, broad computing topics, and interdisciplinary computer applications.
The Endocrinology, Metabolism & Nutrition category is concerned with resources on the growth and regulation of the human body. Coverage focuses on disorders associated with endocrine glands such as diabetes, osteoporosis, and obesity. Nutrition resources focus on topics such as diagnosis, treatment, and management of nutritional and metabolic disorders. Reproductive endocrinology is excluded and is placed in the Reproductive Medicine category.
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Sì, ma tipo non specificato
Inglese
Internazionale
ELETTRONICO
Aug. 2011
40
360
366
7
Data mining; Medical Informatics; Intensive care
8
info:eu-repo/semantics/article
262
D'Ancona, G; Bertuzzi, F; Sacchi, Lucia; Pirone, F; Stringi, V; Arcadipane, A; Bellazzi, Riccardo; Pilato, M.
1 Contributo su Rivista::1.1 Articolo in rivista
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11571/223663
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