We use cookies to understand how you use our site and to improve your experience. This includes personalizing content and advertising. To learn more, click here. By continuing to use our site, you accept our use of cookies. Cookie Policy.

Features Partner Sites Information LinkXpress hp
Sign In
Advertise with Us

Download Mobile App




Nondiabetic Cardiac Surgical Patients Benefit from Strict Glucose Control

By HospiMedica International staff writers
Posted on 29 Dec 2008
Strict perioperative control of blood glucose levels in patients undergoing surgery is linked to a lower risk of postoperative renal impairment and failure, according to a new study.

Researchers from Onze-Lieve-Vrouw Hospital (Aalst, Belgium) retrospectively analyzed two groups of consecutive patients undergoing cardiac surgery with cardiopulmonary bypass between August 2004 and June 2006. More...
In the first group, which contained 305 patients, no tight glycemic control was implemented. Insulin therapy was initiated at blood glucose levels higher than 150 mg/dl. In the group with tight glycemic control (745 patients), intra- and postoperative blood glucose levels were targeted between 80-110 mg/dl, using the Aalst glycemia insulin protocol. Postoperative renal impairment or failure was evaluated based on serum creatinine, glomerular filtration rate (GFR), and urinary output. The researchers used the Cleveland Clinic Severity Score to compare the predicted versus observed incidence of acute postoperative dialysis between groups.

The results showed that mean blood glucose levels in the Insulin group were lower compared to the control group, from re-warming on cardiopulmonary bypass onwards until intensive care unit (ICU) discharge. In nondiabetics, strict perioperative blood-glucose control was associated with a reduced incidence of renal impairment and failure, as well as a reduced incidence of acute postoperative dialysis. Thirty-day mortality was lower in the Insulin than in the control group, representing a 70% decrease in nondiabetics and 56.1% in diabetics. However, in patients that needed hemodialysis, tight glycemic control did not reduce mortality. The observed overall incidence of acute postoperative dialysis was adequately predicted by the Cleveland Clinic Severity Score in the Control group, but was lower than predicted in the Insulin group. The study was published on December 4, 2008, in Critical Care, a publication of BioMedCentral.

"The fact that relatively short-term tight glycemic control during and after cardiac surgery has such an impact on renal function and mortality, is new,” concluded lead author Patrick Lecomte, M.D., and colleagues. "Avoiding the need for renal replacement therapy is probably a key factor in reducing mortality. The observed 60% reduction in postoperative dialysis in our insulin group may have contributed to decreased mortality rates.”

Related Links:
Onze-Lieve-Vrouw Hospital




New
Gold Member
Neonatal Heel Incision Device
Tenderfoot
Gold Member
STI Test
Vivalytic Sexually Transmitted Infection (STI) Array
New
Hybrid Arch Device
Neo EDE
New
Desk Aneroid Sphyg
Diagnostix 750D+
Read the full article by registering today, it's FREE! It's Free!
Register now for FREE to HospiMedica.com and get access to news and events that shape the world of Hospital Medicine.
  • Free digital version edition of HospiMedica International sent by email on regular basis
  • Free print version of HospiMedica International magazine (available only outside USA and Canada).
  • Free and unlimited access to back issues of HospiMedica International in digital format
  • Free HospiMedica International Newsletter sent every week containing the latest news
  • Free breaking news sent via email
  • Free access to Events Calendar
  • Free access to LinkXpress new product services
  • REGISTRATION IS FREE AND EASY!
Click here to Register








Channels

Critical Care

view channel
Image: The method uses data streams commonly available on consumer wearables, including heart rate, physical activity, and oxygen saturation (photo courtesy of 123RF)
Image: The method uses data streams commonly available on consumer wearables, including heart rate, physical activity, and oxygen saturation (photo courtesy of 123RF)

Wearable AI Tool Predicts Hospitalization Risk in Heart Failure

Heart failure, a condition in which the heart cannot pump enough blood to meet the body’s needs, is a leading driver of unplanned hospital use. Clinicians often lack continuous insight into symptom changes... Read more

Health IT

view channel
Photo courtesy of Adobe Stock

Automated System Classifies and Tracks Cardiogenic Shock Across Hospital Settings

Cardiogenic shock remains a difficult, time-sensitive emergency, with delayed identification driving poor outcomes and persistently high mortality. Many cases go undocumented even at advanced stages, hindering... Read more
Copyright © 2000-2026 Globetech Media. All rights reserved.