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Glucose as a risk predictor in acute medical emergency admissions
Abstract Aims The aims of this study were to examine the relationship between admission blood glucose and mortality in a large, unselected cohort of acutely ill medical patients and to assess the impact of diabetes on this relationship. Methods We studied the broad pattern of acute medical admission...
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Published in: | Diabetes research and clinical practice 2014-01, Vol.103 (1), p.119-126 |
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creator | Glynn, Nigel Owens, Lisa Bennett, Kathleen Healy, Marie Louise Silke, Bernard |
description | Abstract Aims The aims of this study were to examine the relationship between admission blood glucose and mortality in a large, unselected cohort of acutely ill medical patients and to assess the impact of diabetes on this relationship. Methods We studied the broad pattern of acute medical admissions over an eight year period and the impact of admission serum glucose on in-hospital mortality. Significant predictors of outcome, including acute illness severity and co-morbidity, were entered into a multivariate regression model, adjusting the univariate estimates of the glycaemic status on mortality. Results There were 45,068 consecutive acute medical emergency admissions between 2005 and 2012. The normoglycaemic (>4.0 ≤7.0 mmol/l) cohort (86%) had a 3.9% in-hospital mortality. Both hypoglycaemia (OR: 3.23: 95% CI: 2.59–4.04; p < 0.001) and hyperglycaemia (OR: 2.1; 95% CI: 1.9–2.4; p < 0.001) predicted an increased risk of an in-hospital death. Neither of these increased risks were fully adjusted nor explained by a highly predictive outcome model, using multiple acute illness parameters. Hyperglycaemia did not carry similar adverse prognostic implications for patients with diabetes. Conclusion In patients without diabetes, an abnormal serum glucose is independently predictive of an increased mortality among the broad cohort of acute emergency medical patients. Similar disturbances of glucose homeostasis for patients with diabetes do not confer equivalent adverse prognostic implications. |
doi_str_mv | 10.1016/j.diabres.2013.10.015 |
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Methods We studied the broad pattern of acute medical admissions over an eight year period and the impact of admission serum glucose on in-hospital mortality. Significant predictors of outcome, including acute illness severity and co-morbidity, were entered into a multivariate regression model, adjusting the univariate estimates of the glycaemic status on mortality. Results There were 45,068 consecutive acute medical emergency admissions between 2005 and 2012. The normoglycaemic (>4.0 ≤7.0 mmol/l) cohort (86%) had a 3.9% in-hospital mortality. Both hypoglycaemia (OR: 3.23: 95% CI: 2.59–4.04; p < 0.001) and hyperglycaemia (OR: 2.1; 95% CI: 1.9–2.4; p < 0.001) predicted an increased risk of an in-hospital death. Neither of these increased risks were fully adjusted nor explained by a highly predictive outcome model, using multiple acute illness parameters. Hyperglycaemia did not carry similar adverse prognostic implications for patients with diabetes. Conclusion In patients without diabetes, an abnormal serum glucose is independently predictive of an increased mortality among the broad cohort of acute emergency medical patients. Similar disturbances of glucose homeostasis for patients with diabetes do not confer equivalent adverse prognostic implications.</description><identifier>ISSN: 0168-8227</identifier><identifier>EISSN: 1872-8227</identifier><identifier>DOI: 10.1016/j.diabres.2013.10.015</identifier><identifier>PMID: 24269157</identifier><language>eng</language><publisher>Ireland: Elsevier Ireland Ltd</publisher><subject>Acute Disease ; Acute illness ; Aged ; Blood Glucose - analysis ; Blood Glucose - metabolism ; Comorbidity ; Diabetes Mellitus - physiopathology ; Emergency Service, Hospital - statistics & numerical data ; Endocrinology & Metabolism ; Female ; Glucose ; Hospital admission ; Hospital Mortality - trends ; Hospitalization ; Humans ; Hyperglycemia - mortality ; Hyperglycemia - physiopathology ; Hypoglycemia - mortality ; Hypoglycemia - physiopathology ; Male ; Middle Aged ; Patient Admission - statistics & numerical data ; Predictive Value of Tests ; Risk Factors ; Risk prediction ; Severity of Illness Index ; Survival Rate</subject><ispartof>Diabetes research and clinical practice, 2014-01, Vol.103 (1), p.119-126</ispartof><rights>Elsevier Ireland Ltd</rights><rights>2013 Elsevier Ireland Ltd</rights><rights>Copyright © 2013 Elsevier Ireland Ltd. All rights reserved.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c500t-6cd4933265301aba8a222b56c5e56b63c7eddef0a370db53a6794df0b1a2fefc3</citedby><cites>FETCH-LOGICAL-c500t-6cd4933265301aba8a222b56c5e56b63c7eddef0a370db53a6794df0b1a2fefc3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/24269157$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Glynn, Nigel</creatorcontrib><creatorcontrib>Owens, Lisa</creatorcontrib><creatorcontrib>Bennett, Kathleen</creatorcontrib><creatorcontrib>Healy, Marie Louise</creatorcontrib><creatorcontrib>Silke, Bernard</creatorcontrib><title>Glucose as a risk predictor in acute medical emergency admissions</title><title>Diabetes research and clinical practice</title><addtitle>Diabetes Res Clin Pract</addtitle><description>Abstract Aims The aims of this study were to examine the relationship between admission blood glucose and mortality in a large, unselected cohort of acutely ill medical patients and to assess the impact of diabetes on this relationship. Methods We studied the broad pattern of acute medical admissions over an eight year period and the impact of admission serum glucose on in-hospital mortality. Significant predictors of outcome, including acute illness severity and co-morbidity, were entered into a multivariate regression model, adjusting the univariate estimates of the glycaemic status on mortality. Results There were 45,068 consecutive acute medical emergency admissions between 2005 and 2012. The normoglycaemic (>4.0 ≤7.0 mmol/l) cohort (86%) had a 3.9% in-hospital mortality. Both hypoglycaemia (OR: 3.23: 95% CI: 2.59–4.04; p < 0.001) and hyperglycaemia (OR: 2.1; 95% CI: 1.9–2.4; p < 0.001) predicted an increased risk of an in-hospital death. Neither of these increased risks were fully adjusted nor explained by a highly predictive outcome model, using multiple acute illness parameters. Hyperglycaemia did not carry similar adverse prognostic implications for patients with diabetes. Conclusion In patients without diabetes, an abnormal serum glucose is independently predictive of an increased mortality among the broad cohort of acute emergency medical patients. Similar disturbances of glucose homeostasis for patients with diabetes do not confer equivalent adverse prognostic implications.</description><subject>Acute Disease</subject><subject>Acute illness</subject><subject>Aged</subject><subject>Blood Glucose - analysis</subject><subject>Blood Glucose - metabolism</subject><subject>Comorbidity</subject><subject>Diabetes Mellitus - physiopathology</subject><subject>Emergency Service, Hospital - statistics & numerical data</subject><subject>Endocrinology & Metabolism</subject><subject>Female</subject><subject>Glucose</subject><subject>Hospital admission</subject><subject>Hospital Mortality - trends</subject><subject>Hospitalization</subject><subject>Humans</subject><subject>Hyperglycemia - mortality</subject><subject>Hyperglycemia - physiopathology</subject><subject>Hypoglycemia - mortality</subject><subject>Hypoglycemia - physiopathology</subject><subject>Male</subject><subject>Middle Aged</subject><subject>Patient Admission - statistics & numerical data</subject><subject>Predictive Value of Tests</subject><subject>Risk Factors</subject><subject>Risk prediction</subject><subject>Severity of Illness Index</subject><subject>Survival Rate</subject><issn>0168-8227</issn><issn>1872-8227</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2014</creationdate><recordtype>article</recordtype><recordid>eNqFkU1PGzEQhq2qqKS0P6HIx14Sxp-bXIoQomklJA7A2fLas5XDZjd4dpHy7_GSlEMvPc3o1TtfzzD2TcBCgLAXm0VMvs5ICwlCFW0BwnxgM7Gs5HwpZfWRzYpv-Zafss9EGwCwSptP7FRqaVfCVDN2tW7H0BNyT9zznOiJ7zLGFIY-89RxH8YB-XZSfMtxi_kPdmHPfdwmotR39IWdNL4l_HqMZ-zx583D9a_57d369_XV7TwYgGFuQ9QrpaQ1CoSv_dJLKWtjg0Fja6tChTFiA15VEGujvK1WOjZQCy8bbII6Y98PfXe5fx6RBlc2CNi2vsN-JCf0SitQUutiNQdryD1Rxsbtctr6vHcC3ETPbdyRnpvoTXKhV-rOjyPGupz8XvUXVzFcHgxYDn1JmB2FVHgUPBnD4GKf_jvixz8dQpu6Ce4T7pE2_Zi7QtEJR9KBu59eOH1QKABlKq1eAT8Tl9k</recordid><startdate>20140101</startdate><enddate>20140101</enddate><creator>Glynn, Nigel</creator><creator>Owens, Lisa</creator><creator>Bennett, Kathleen</creator><creator>Healy, Marie Louise</creator><creator>Silke, Bernard</creator><general>Elsevier Ireland Ltd</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope></search><sort><creationdate>20140101</creationdate><title>Glucose as a risk predictor in acute medical emergency admissions</title><author>Glynn, Nigel ; Owens, Lisa ; Bennett, Kathleen ; Healy, Marie Louise ; Silke, Bernard</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c500t-6cd4933265301aba8a222b56c5e56b63c7eddef0a370db53a6794df0b1a2fefc3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2014</creationdate><topic>Acute Disease</topic><topic>Acute illness</topic><topic>Aged</topic><topic>Blood Glucose - analysis</topic><topic>Blood Glucose - metabolism</topic><topic>Comorbidity</topic><topic>Diabetes Mellitus - physiopathology</topic><topic>Emergency Service, Hospital - statistics & numerical data</topic><topic>Endocrinology & Metabolism</topic><topic>Female</topic><topic>Glucose</topic><topic>Hospital admission</topic><topic>Hospital Mortality - trends</topic><topic>Hospitalization</topic><topic>Humans</topic><topic>Hyperglycemia - mortality</topic><topic>Hyperglycemia - physiopathology</topic><topic>Hypoglycemia - mortality</topic><topic>Hypoglycemia - physiopathology</topic><topic>Male</topic><topic>Middle Aged</topic><topic>Patient Admission - statistics & numerical data</topic><topic>Predictive Value of Tests</topic><topic>Risk Factors</topic><topic>Risk prediction</topic><topic>Severity of Illness Index</topic><topic>Survival Rate</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Glynn, Nigel</creatorcontrib><creatorcontrib>Owens, Lisa</creatorcontrib><creatorcontrib>Bennett, Kathleen</creatorcontrib><creatorcontrib>Healy, Marie Louise</creatorcontrib><creatorcontrib>Silke, Bernard</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><jtitle>Diabetes research and clinical practice</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Glynn, Nigel</au><au>Owens, Lisa</au><au>Bennett, Kathleen</au><au>Healy, Marie Louise</au><au>Silke, Bernard</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Glucose as a risk predictor in acute medical emergency admissions</atitle><jtitle>Diabetes research and clinical practice</jtitle><addtitle>Diabetes Res Clin Pract</addtitle><date>2014-01-01</date><risdate>2014</risdate><volume>103</volume><issue>1</issue><spage>119</spage><epage>126</epage><pages>119-126</pages><issn>0168-8227</issn><eissn>1872-8227</eissn><abstract>Abstract Aims The aims of this study were to examine the relationship between admission blood glucose and mortality in a large, unselected cohort of acutely ill medical patients and to assess the impact of diabetes on this relationship. Methods We studied the broad pattern of acute medical admissions over an eight year period and the impact of admission serum glucose on in-hospital mortality. Significant predictors of outcome, including acute illness severity and co-morbidity, were entered into a multivariate regression model, adjusting the univariate estimates of the glycaemic status on mortality. Results There were 45,068 consecutive acute medical emergency admissions between 2005 and 2012. The normoglycaemic (>4.0 ≤7.0 mmol/l) cohort (86%) had a 3.9% in-hospital mortality. Both hypoglycaemia (OR: 3.23: 95% CI: 2.59–4.04; p < 0.001) and hyperglycaemia (OR: 2.1; 95% CI: 1.9–2.4; p < 0.001) predicted an increased risk of an in-hospital death. Neither of these increased risks were fully adjusted nor explained by a highly predictive outcome model, using multiple acute illness parameters. Hyperglycaemia did not carry similar adverse prognostic implications for patients with diabetes. Conclusion In patients without diabetes, an abnormal serum glucose is independently predictive of an increased mortality among the broad cohort of acute emergency medical patients. Similar disturbances of glucose homeostasis for patients with diabetes do not confer equivalent adverse prognostic implications.</abstract><cop>Ireland</cop><pub>Elsevier Ireland Ltd</pub><pmid>24269157</pmid><doi>10.1016/j.diabres.2013.10.015</doi><tpages>8</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Acute Disease Acute illness Aged Blood Glucose - analysis Blood Glucose - metabolism Comorbidity Diabetes Mellitus - physiopathology Emergency Service, Hospital - statistics & numerical data Endocrinology & Metabolism Female Glucose Hospital admission Hospital Mortality - trends Hospitalization Humans Hyperglycemia - mortality Hyperglycemia - physiopathology Hypoglycemia - mortality Hypoglycemia - physiopathology Male Middle Aged Patient Admission - statistics & numerical data Predictive Value of Tests Risk Factors Risk prediction Severity of Illness Index Survival Rate |
title | Glucose as a risk predictor in acute medical emergency admissions |
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