OBJECTIVE: To determine whether glycemic derangements are more effectively controlled using software-guided insulin dosing compared with paper-based protocols. PATIENTS AND METHODS: We prospectively evaluated consecutive critically ill patients treated in a tertiary hospital surgical intensive care unit (ICU) between January 1 and June 30, 2008, and between January 1 and September 30, 2009. Paper-based protocol insulin dosing was evaluated as a baseline during the first period, followed by software-guided insulin dosing in the second period. We compared glycemic metrics related to hyperglycemia, hypoglycemia, and glycemic variability during the 2 periods. RESULTS: We treated 110 patients by the paper-based protocol and 87 by the software-guided protocol during the before and after periods, respectively. The mean ICU admission blood glucose (BG) level was higher in patients receiving software-guided intensive insulin than for those receiving paper-based intensive insulin (181 vs 156 mg/dL; P=.003, mean of the per-patient mean). Patients treated with software-guided intensive insulin had lower mean BG levels (117 vs 135 mg/dL; P=.0008), sustained greater time in the desired BG target range (95-135 mg/dL; 68% vs 52%; P=.0001), had less frequent hypoglycemia (percentage of time BG level was <70 mg/dL: 0.51% vs 1.44%; P=.04), and showed decreased glycemic variability (BG level per-patient standard deviation from the mean: ±29 vs ±42 mg/dL; P=.01). CONCLUSION: Surgical ICU patients whose intensive insulin infusions were managed using the software-guided program achieved tighter glycemic control and fewer glycemic derangements than those managed with the paper-based insulin dosing regimen.
OBJECTIVE: To determine whether glycemic derangements are more effectively controlled using software-guided insulin dosing compared with paper-based protocols. PATIENTS AND METHODS: We prospectively evaluated consecutive critically illpatients treated in a tertiary hospital surgical intensive care unit (ICU) between January 1 and June 30, 2008, and between January 1 and September 30, 2009. Paper-based protocol insulin dosing was evaluated as a baseline during the first period, followed by software-guided insulin dosing in the second period. We compared glycemic metrics related to hyperglycemia, hypoglycemia, and glycemic variability during the 2 periods. RESULTS: We treated 110 patients by the paper-based protocol and 87 by the software-guided protocol during the before and after periods, respectively. The mean ICU admission blood glucose (BG) level was higher in patients receiving software-guided intensive insulin than for those receiving paper-based intensive insulin (181 vs 156 mg/dL; P=.003, mean of the per-patient mean). Patients treated with software-guided intensive insulin had lower mean BG levels (117 vs 135 mg/dL; P=.0008), sustained greater time in the desired BG target range (95-135 mg/dL; 68% vs 52%; P=.0001), had less frequent hypoglycemia (percentage of time BG level was <70 mg/dL: 0.51% vs 1.44%; P=.04), and showed decreased glycemic variability (BG level per-patient standard deviation from the mean: ±29 vs ±42 mg/dL; P=.01). CONCLUSION: Surgical ICU patients whose intensive insulin infusions were managed using the software-guided program achieved tighter glycemic control and fewer glycemic derangements than those managed with the paper-based insulin dosing regimen.
Authors: Georgia M Davis; Rodolfo J Galindo; Alexandra L Migdal; Guillermo E Umpierrez Journal: Endocrinol Metab Clin North Am Date: 2020-03 Impact factor: 4.741
Authors: Grant V Bochicchio; Stanley A Nasraway; Laura J Moore; Anthony P Furnary; Eden A Nohra; Kelly M Bochicchio; James C Boyd; David I Bruns; Irl B Hirsch; Jean-Charles Preiser; James S Krinsley Journal: J Diabetes Sci Technol Date: 2019-11-19
Authors: Daniel Shelden; Mohammed Ateya; Angela Jensen; Patrick Arnold; Tiffany Bellomo; Roma Gianchandani Journal: J Diabetes Sci Technol Date: 2020-12-23
Authors: Gianni Biolo; Benedetta Massolino; Filippo Giorgio Di Girolamo; Nicola Fiotti; Filippo Mearelli; Sara Mazzucco; Carlos Bertuzzi; Renzo Lazzarini; Alfonso Colombatti; Marcello De Cicco Journal: PLoS One Date: 2018-01-04 Impact factor: 3.240
Authors: Jasperina Dubois; Tom Van Herpe; Roosmarijn T van Hooijdonk; Ruben Wouters; Domien Coart; Pieter Wouters; Aimé Van Assche; Guy Veraghtert; Bart De Moor; Joost Wauters; Alexander Wilmer; Marcus J Schultz; Greet Van den Berghe; Dieter Mesotten Journal: Crit Care Date: 2017-08-14 Impact factor: 9.097