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Influence of smart real-time electronic alerting on glucose control in critically ill patients

Abstract Purpose Hyperglycemia and hypoglycemia are frequently encountered in critically ill patients and associated with adverse outcomes. We configured a smart glycemia alert (S-GLY alert) with our Intensive Care Information System to decrease the number of hyperglycemic values and increase the pr...

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Published in:Journal of critical care 2015-02, Vol.30 (1), p.216.e1-216.e6
Main Authors: Colpaert, Kirsten, MD, PhD, Oeyen, Sandra, MD, Sijnave, Bart, PhD, Peleman, Renaat, MD, PhD, Benoit, Dominique, MD, PhD, Decruyenaere, Johan, MD, PhD
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cited_by cdi_FETCH-LOGICAL-c612t-18d67d75dcc4cd991612f6099a5f96668127405de3f28e547a067d311f5834843
cites cdi_FETCH-LOGICAL-c612t-18d67d75dcc4cd991612f6099a5f96668127405de3f28e547a067d311f5834843
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container_title Journal of critical care
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creator Colpaert, Kirsten, MD, PhD
Oeyen, Sandra, MD
Sijnave, Bart, PhD
Peleman, Renaat, MD, PhD
Benoit, Dominique, MD, PhD
Decruyenaere, Johan, MD, PhD
description Abstract Purpose Hyperglycemia and hypoglycemia are frequently encountered in critically ill patients and associated with adverse outcomes. We configured a smart glycemia alert (S-GLY alert) with our Intensive Care Information System to decrease the number of hyperglycemic values and increase the proportion of time within the glucose interval of 80 to 150 mg/dL. Materials and Methods Prospective intervention study in surgical intensive care unit in a tertiary care hospital. An 11-week prealert phase was followed by a 15-week intervention phase where the S-GLY alert was alerting the nurses through the Clinical Notification System of the Intensive Care Information System. Results Overall, 2335 S-GLY alerts were recorded. There were less hyperglycemic values and less persistent hyperglycemic episodes in the alert phase (19.5% vs 26.5% [ P < .001] and 9.9% vs 15.4% [ P < .001], respectively). More time was spent within target glucose interval (82.3% vs 75.0%, P = .009). A lower proportion of patients experienced a new-onset hypoglycemic event (< 70 mg/dL) in the alert phase (9.2% vs 15.2%, P = .016). The Sequential Organ Failure Assessment score was significantly reduced (5.2 vs 4.2, P < .001). Conclusions The implementation of a real-time smart electronic glycemia alert resulted in significantly less episodes of persistent hyperglycemia and a higher proportion of time with normoglycemia, while decreasing the number of hypoglycemic events.
doi_str_mv 10.1016/j.jcrc.2014.07.030
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We configured a smart glycemia alert (S-GLY alert) with our Intensive Care Information System to decrease the number of hyperglycemic values and increase the proportion of time within the glucose interval of 80 to 150 mg/dL. Materials and Methods Prospective intervention study in surgical intensive care unit in a tertiary care hospital. An 11-week prealert phase was followed by a 15-week intervention phase where the S-GLY alert was alerting the nurses through the Clinical Notification System of the Intensive Care Information System. Results Overall, 2335 S-GLY alerts were recorded. There were less hyperglycemic values and less persistent hyperglycemic episodes in the alert phase (19.5% vs 26.5% [ P &lt; .001] and 9.9% vs 15.4% [ P &lt; .001], respectively). More time was spent within target glucose interval (82.3% vs 75.0%, P = .009). A lower proportion of patients experienced a new-onset hypoglycemic event (&lt; 70 mg/dL) in the alert phase (9.2% vs 15.2%, P = .016). The Sequential Organ Failure Assessment score was significantly reduced (5.2 vs 4.2, P &lt; .001). Conclusions The implementation of a real-time smart electronic glycemia alert resulted in significantly less episodes of persistent hyperglycemia and a higher proportion of time with normoglycemia, while decreasing the number of hypoglycemic events.</description><identifier>ISSN: 0883-9441</identifier><identifier>EISSN: 1557-8615</identifier><identifier>DOI: 10.1016/j.jcrc.2014.07.030</identifier><identifier>PMID: 25194590</identifier><language>eng</language><publisher>United States: Elsevier Inc</publisher><subject>Aged ; Blood Glucose - analysis ; Clinical Alarms - statistics &amp; numerical data ; Clinical decisions support systems ; Computer systems ; Controlled Before-After Studies - methods ; Critical Care ; Critical Illness ; Female ; Glucose ; Glucose control ; Health information technology ; Homeostasis ; Hospital Information Systems ; Humans ; Hyperglycemia ; Hyperglycemia - blood ; Hyperglycemia - prevention &amp; control ; Hypoglycemia ; Hypoglycemia - blood ; Hypoglycemia - prevention &amp; control ; Hypoglycemic Agents ; Insulin ; Intensive care unit ; Intensive Care Units ; Male ; Middle Aged ; Mortality ; Organ Dysfunction Scores ; Prospective Studies</subject><ispartof>Journal of critical care, 2015-02, Vol.30 (1), p.216.e1-216.e6</ispartof><rights>Elsevier Inc.</rights><rights>2014 Elsevier Inc.</rights><rights>Copyright © 2014 Elsevier Inc. All rights reserved.</rights><rights>Copyright Elsevier Limited Feb 2015</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c612t-18d67d75dcc4cd991612f6099a5f96668127405de3f28e547a067d311f5834843</citedby><cites>FETCH-LOGICAL-c612t-18d67d75dcc4cd991612f6099a5f96668127405de3f28e547a067d311f5834843</cites><orcidid>0000-0002-6254-3065</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>315,786,790,27957,27958</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/25194590$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Colpaert, Kirsten, MD, PhD</creatorcontrib><creatorcontrib>Oeyen, Sandra, MD</creatorcontrib><creatorcontrib>Sijnave, Bart, PhD</creatorcontrib><creatorcontrib>Peleman, Renaat, MD, PhD</creatorcontrib><creatorcontrib>Benoit, Dominique, MD, PhD</creatorcontrib><creatorcontrib>Decruyenaere, Johan, MD, PhD</creatorcontrib><title>Influence of smart real-time electronic alerting on glucose control in critically ill patients</title><title>Journal of critical care</title><addtitle>J Crit Care</addtitle><description>Abstract Purpose Hyperglycemia and hypoglycemia are frequently encountered in critically ill patients and associated with adverse outcomes. We configured a smart glycemia alert (S-GLY alert) with our Intensive Care Information System to decrease the number of hyperglycemic values and increase the proportion of time within the glucose interval of 80 to 150 mg/dL. Materials and Methods Prospective intervention study in surgical intensive care unit in a tertiary care hospital. An 11-week prealert phase was followed by a 15-week intervention phase where the S-GLY alert was alerting the nurses through the Clinical Notification System of the Intensive Care Information System. Results Overall, 2335 S-GLY alerts were recorded. There were less hyperglycemic values and less persistent hyperglycemic episodes in the alert phase (19.5% vs 26.5% [ P &lt; .001] and 9.9% vs 15.4% [ P &lt; .001], respectively). More time was spent within target glucose interval (82.3% vs 75.0%, P = .009). A lower proportion of patients experienced a new-onset hypoglycemic event (&lt; 70 mg/dL) in the alert phase (9.2% vs 15.2%, P = .016). The Sequential Organ Failure Assessment score was significantly reduced (5.2 vs 4.2, P &lt; .001). 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We configured a smart glycemia alert (S-GLY alert) with our Intensive Care Information System to decrease the number of hyperglycemic values and increase the proportion of time within the glucose interval of 80 to 150 mg/dL. Materials and Methods Prospective intervention study in surgical intensive care unit in a tertiary care hospital. An 11-week prealert phase was followed by a 15-week intervention phase where the S-GLY alert was alerting the nurses through the Clinical Notification System of the Intensive Care Information System. Results Overall, 2335 S-GLY alerts were recorded. There were less hyperglycemic values and less persistent hyperglycemic episodes in the alert phase (19.5% vs 26.5% [ P &lt; .001] and 9.9% vs 15.4% [ P &lt; .001], respectively). More time was spent within target glucose interval (82.3% vs 75.0%, P = .009). A lower proportion of patients experienced a new-onset hypoglycemic event (&lt; 70 mg/dL) in the alert phase (9.2% vs 15.2%, P = .016). The Sequential Organ Failure Assessment score was significantly reduced (5.2 vs 4.2, P &lt; .001). Conclusions The implementation of a real-time smart electronic glycemia alert resulted in significantly less episodes of persistent hyperglycemia and a higher proportion of time with normoglycemia, while decreasing the number of hypoglycemic events.</abstract><cop>United States</cop><pub>Elsevier Inc</pub><pmid>25194590</pmid><doi>10.1016/j.jcrc.2014.07.030</doi><orcidid>https://orcid.org/0000-0002-6254-3065</orcidid></addata></record>
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subjects Aged
Blood Glucose - analysis
Clinical Alarms - statistics & numerical data
Clinical decisions support systems
Computer systems
Controlled Before-After Studies - methods
Critical Care
Critical Illness
Female
Glucose
Glucose control
Health information technology
Homeostasis
Hospital Information Systems
Humans
Hyperglycemia
Hyperglycemia - blood
Hyperglycemia - prevention & control
Hypoglycemia
Hypoglycemia - blood
Hypoglycemia - prevention & control
Hypoglycemic Agents
Insulin
Intensive care unit
Intensive Care Units
Male
Middle Aged
Mortality
Organ Dysfunction Scores
Prospective Studies
title Influence of smart real-time electronic alerting on glucose control in critically ill patients
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