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Related Concept Videos

Diabetes: Management and Pharmacotherapy01:15

Diabetes: Management and Pharmacotherapy

The therapy for diabetes aims to alleviate hyperglycemia-related symptoms, prevent acute metabolic decompensation, and reduce chronic end-organ complications. Glycemic control is evaluated through short-term (self-monitoring, continuous glucose monitoring) and long-term (A1c, fructosamine) metrics, enabling near real-time tracking of blood glucose levels and reflecting glycemic control over specific time frames.
Insulin remains the cornerstone of treatment for most patients with type 1 and many...
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Diabetes Mellitus: Type 2 and Gestational

Type 2 diabetes, characterized by insulin resistance, arises when the insulin receptors on cells lose responsiveness to insulin, diminishing the cell's capacity to take up glucose, resulting in elevated blood glucose levels. To receive a diagnosis of Type 2 diabetes, a series of blood glucose tests are necessary to assess whether the blood glucose falls within normal parameters. If the result is out of the normal range, a patient may be diagnosed as prediabetic or diabetic, depending on the...
Dipeptidyl Peptidase 4 Inhibitors01:23

Dipeptidyl Peptidase 4 Inhibitors

Dipeptidyl peptidase 4 (DPP-4) is a serine protease widely distributed in the body. It's involved in the inactivation of GLP-1 and GIP hormones, which are crucial for insulin regulation. DPP-4 inhibitors, such as sitagliptin (Januvia), saxagliptin (Onglyza), linagliptin (Tradjenta), alogliptin (Nesina), and vildagliptin (Galvus), help increase the proportion of active GLP-1, enhancing insulin secretion. These inhibitors work by competitively binding to DPP-4. This binding causes a significant...
SBAR II: Application of SBAR01:14

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Related Experiment Video

Updated: May 17, 2026

Improving IV Insulin Administration in a Community Hospital
12:08

Improving IV Insulin Administration in a Community Hospital

Published on: June 11, 2012

Improving glycemic control with the adjunct use of a data management software program.

Charles C Reed1, Jacqueline M Richa, Andrea E Berndt

  • 1University Health System, Medical Drive, San Antonio, TX 78229, USA. charles.reed@uhs-sa.com

AACN Advanced Critical Care
|October 26, 2012
PubMed
Summary

Implementing real-time blood glucose (BG) reports improved tight glucose control (TGC) programs. This data management software enhanced BG level monitoring and patient outcomes in a surgical trauma ICU.

Related Experiment Videos

Last Updated: May 17, 2026

Improving IV Insulin Administration in a Community Hospital
12:08

Improving IV Insulin Administration in a Community Hospital

Published on: June 11, 2012

Area of Science:

  • Critical Care Medicine
  • Endocrinology
  • Health Informatics

Background:

  • Published studies support tight glucose control (TGC) for improved patient outcomes and reduced mortality.
  • Measuring TGC program efficiency is challenging due to data capture, access, and analysis limitations.
  • Real-time blood glucose (BG) results reports were hypothesized to improve TGC program efficacy.

Purpose of the Study:

  • To evaluate the impact of real-time BG data reports on the efficacy of a TGC program.
  • To assess changes in BG levels and control within a surgical trauma intensive care unit.

Main Methods:

  • Retrospective review of BG data over 12 months in a surgical trauma ICU.
  • Utilized a unit-specific insulin algorithm and compared BG values before and after data management software implementation.
  • Daily and weekly reports of real-time BG data were used to monitor the TGC program.

Main Results:

  • Analyzed 70,616 BG values from 1044 patients.
  • Mean BG levels decreased from 121 mg/dL to 112 mg/dL (P < .001).
  • Percentage of BG values within the target range (80-110 mg/dL) increased from 38.9% to 50.4% (P < .001).
  • Percentage of BG values < 70 mg/dL increased from 2.7% to 3.4% (P < .001), with no change in severe hypoglycemia (≤ 40 mg/dL).

Conclusions:

  • Access to real-time aggregated BG data reports via data management software significantly improved TGC program efficacy.
  • The software facilitated better monitoring and control of glucose levels in critically ill patients.
  • Real-time data access is crucial for optimizing TGC program performance in intensive care settings.