Multicenter Validation of a Computer-Based Clinical Decision Support Tool for Glucose Control in Adult and Pediatric Intensive Care Units

Hyperglycemia during critical illness is common, and intravenous insulin therapy (IIT) to normalize blood glucose improves outcomes in selected populations. Methods differ widely in complexity, insulin dosing approaches, efficacy, and rates of hypoglycemia. We developed a simple bedside-computerized...

Full description

Saved in:
Bibliographic Details
Published inJournal of diabetes science and technology Vol. 2; no. 3; pp. 357 - 368
Main Authors Thompson, B. Taylor, Orme, James F., Zheng, Hui, Luckett, Peter M., Truwit, Jonathon D., Willson, Douglas F., Hite, R. Duncan, Brower, Roy G., Bernard, Gordon R., Curley, Martha A. Q., Steingrub, Jay S., Sorenson, Dean K., Sward, Kathy, Hirshberg, Ellie, Morris, Alan H.
Format Journal Article
LanguageEnglish
Published United States Diabetes Technology Society 01.05.2008
SeriesComputerized Algorithms
Subjects
Online AccessGet full text
ISSN1932-2968
1932-3107
DOI10.1177/193229680800200304

Cover

Loading…
Abstract Hyperglycemia during critical illness is common, and intravenous insulin therapy (IIT) to normalize blood glucose improves outcomes in selected populations. Methods differ widely in complexity, insulin dosing approaches, efficacy, and rates of hypoglycemia. We developed a simple bedside-computerized decision support protocol (eProtocol-insulin) that yields promising results in the development center. We examined the effectiveness and safety of this tool in six adult and five pediatric intensive care units (ICUs) in other centers. We required attending physicians of eligible patients to independently intend to use intravenous insulin to normalize blood glucose. We used eProtocol-insulin for glucose control for a duration determined by the clinical caregivers. Adults had an anticipated length of stay of 3 or more days. In pediatric ICUs, we also required support or intended support with mechanical ventilation for greater than 24 hours or with a vasoactive infusion. We recorded all instances in which eProtocol-insulin instructions were not accepted and all blood glucose values. An independent data safety and monitoring board monitored study results and subject safety. Bedside nurses were selected randomly to complete a paper survey describing their perceptions of quality of care and workload related to eProtocol-insulin use. Clinicians accepted 93% of eProtocol-insulin instructions (11,773/12,645) in 100 adult and 48 pediatric subjects. Forty-eight percent of glucose values were in the target range. Both of these results met a priori-defined efficacy thresholds. Only 0.18% of glucose values were < or =40 mg/dl. This is lower than values reported in prior IIT studies. Although nurses reported eProtocol-insulin required as much work as managing a mechanical ventilator, most nurses felt eProtocol-insulin had a low impact on their ability to complete non-IIT nursing activities. A multicenter validation demonstrated that eProtocol-insulin is a valid, exportable tool that can assist clinicians in achieving control of glucose in critically ill adults and children.
AbstractList Hyperglycemia during critical illness is common, and intravenous insulin therapy (IIT) to normalize blood glucose improves outcomes in selected populations. Methods differ widely in complexity, insulin dosing approaches, efficacy, and rates of hypoglycemia. We developed a simple bedside-computerized decision support protocol (eProtocol-insulin) that yields promising results in the development center. We examined the effectiveness and safety of this tool in six adult and five pediatric intensive care units (ICUs) in other centers. We required attending physicians of eligible patients to independently intend to use intravenous insulin to normalize blood glucose. We used eProtocol-insulin for glucose control for a duration determined by the clinical caregivers. Adults had an anticipated length of stay of 3 or more days. In pediatric ICUs, we also required support or intended support with mechanical ventilation for greater than 24 hours or with a vasoactive infusion. We recorded all instances in which eProtocol-insulin instructions were not accepted and all blood glucose values. An independent data safety and monitoring board monitored study results and subject safety. Bedside nurses were selected randomly to complete a paper survey describing their perceptions of quality of care and workload related to eProtocol-insulin use. Clinicians accepted 93% of eProtocol-insulin instructions (11,773/12,645) in 100 adult and 48 pediatric subjects. Forty-eight percent of glucose values were in the target range. Both of these results met a priori-defined efficacy thresholds. Only 0.18% of glucose values were < or =40 mg/dl. This is lower than values reported in prior IIT studies. Although nurses reported eProtocol-insulin required as much work as managing a mechanical ventilator, most nurses felt eProtocol-insulin had a low impact on their ability to complete non-IIT nursing activities. A multicenter validation demonstrated that eProtocol-insulin is a valid, exportable tool that can assist clinicians in achieving control of glucose in critically ill adults and children.
Hyperglycemia during critical illness is common, and intravenous insulin therapy (IIT) to normalize blood glucose improves outcomes in selected populations. Methods differ widely in complexity, insulin dosing approaches, efficacy, and rates of hypoglycemia. We developed a simple bedside-computerized decision support protocol (eProtocol-insulin) that yields promising results in the development center. We examined the effectiveness and safety of this tool in six adult and five pediatric intensive care units (ICUs) in other centers.INTRODUCTIONHyperglycemia during critical illness is common, and intravenous insulin therapy (IIT) to normalize blood glucose improves outcomes in selected populations. Methods differ widely in complexity, insulin dosing approaches, efficacy, and rates of hypoglycemia. We developed a simple bedside-computerized decision support protocol (eProtocol-insulin) that yields promising results in the development center. We examined the effectiveness and safety of this tool in six adult and five pediatric intensive care units (ICUs) in other centers.We required attending physicians of eligible patients to independently intend to use intravenous insulin to normalize blood glucose. We used eProtocol-insulin for glucose control for a duration determined by the clinical caregivers. Adults had an anticipated length of stay of 3 or more days. In pediatric ICUs, we also required support or intended support with mechanical ventilation for greater than 24 hours or with a vasoactive infusion. We recorded all instances in which eProtocol-insulin instructions were not accepted and all blood glucose values. An independent data safety and monitoring board monitored study results and subject safety. Bedside nurses were selected randomly to complete a paper survey describing their perceptions of quality of care and workload related to eProtocol-insulin use.METHODSWe required attending physicians of eligible patients to independently intend to use intravenous insulin to normalize blood glucose. We used eProtocol-insulin for glucose control for a duration determined by the clinical caregivers. Adults had an anticipated length of stay of 3 or more days. In pediatric ICUs, we also required support or intended support with mechanical ventilation for greater than 24 hours or with a vasoactive infusion. We recorded all instances in which eProtocol-insulin instructions were not accepted and all blood glucose values. An independent data safety and monitoring board monitored study results and subject safety. Bedside nurses were selected randomly to complete a paper survey describing their perceptions of quality of care and workload related to eProtocol-insulin use.Clinicians accepted 93% of eProtocol-insulin instructions (11,773/12,645) in 100 adult and 48 pediatric subjects. Forty-eight percent of glucose values were in the target range. Both of these results met a priori-defined efficacy thresholds. Only 0.18% of glucose values were < or =40 mg/dl. This is lower than values reported in prior IIT studies. Although nurses reported eProtocol-insulin required as much work as managing a mechanical ventilator, most nurses felt eProtocol-insulin had a low impact on their ability to complete non-IIT nursing activities.RESULTSClinicians accepted 93% of eProtocol-insulin instructions (11,773/12,645) in 100 adult and 48 pediatric subjects. Forty-eight percent of glucose values were in the target range. Both of these results met a priori-defined efficacy thresholds. Only 0.18% of glucose values were < or =40 mg/dl. This is lower than values reported in prior IIT studies. Although nurses reported eProtocol-insulin required as much work as managing a mechanical ventilator, most nurses felt eProtocol-insulin had a low impact on their ability to complete non-IIT nursing activities.A multicenter validation demonstrated that eProtocol-insulin is a valid, exportable tool that can assist clinicians in achieving control of glucose in critically ill adults and children.CONCLUSIONSA multicenter validation demonstrated that eProtocol-insulin is a valid, exportable tool that can assist clinicians in achieving control of glucose in critically ill adults and children.
Author Bernard, Gordon R.
Sorenson, Dean K.
Hite, R. Duncan
Sward, Kathy
Steingrub, Jay S.
Truwit, Jonathon D.
Brower, Roy G.
Luckett, Peter M.
Curley, Martha A. Q.
Morris, Alan H.
Thompson, B. Taylor
Zheng, Hui
Hirshberg, Ellie
Willson, Douglas F.
Orme, James F.
AuthorAffiliation 3 Biostatistics Center, Massachusetts General Hospital , Boston, Massachusetts
9 Division of Allergy, Pulmonary, and Critical Care, Vanderbilt University , Nashville, Tennessee
10 University of Pennsylvania School of Nursing , Philadelphia, Pennsylvania
13 Department of Nursing Informatics, University of Utah School of Nursing , Salt Lake City, Utah
5 University of Virginia , Charlottesville, Virginia
6 Children's Hospital of the University of Virginia , Charlottesville, Virginia
8 Pulmonary and Critical Care Medicine, Johns Hopkins University , Baltimore, Maryland
11 Division of Critical Care Medicine, Baystate Medical Center , Springfield, Massachusetts
4 Department of Pediatrics, University of Texas Southwestern Medical Center , Dallas, Texas
7 Section on Pulmonary and Critical Care, Wake Forest University Health Sciences , Winston-Salem, North Carolina
12 Department of BioMedical Informatics, University of Utah School of Medicine , Salt Lake City, Utah
1 Pulmonary and Critical Care Unit, Mass
AuthorAffiliation_xml – name: 12 Department of BioMedical Informatics, University of Utah School of Medicine , Salt Lake City, Utah
– name: 8 Pulmonary and Critical Care Medicine, Johns Hopkins University , Baltimore, Maryland
– name: 13 Department of Nursing Informatics, University of Utah School of Nursing , Salt Lake City, Utah
– name: 4 Department of Pediatrics, University of Texas Southwestern Medical Center , Dallas, Texas
– name: 3 Biostatistics Center, Massachusetts General Hospital , Boston, Massachusetts
– name: 5 University of Virginia , Charlottesville, Virginia
– name: 6 Children's Hospital of the University of Virginia , Charlottesville, Virginia
– name: 11 Division of Critical Care Medicine, Baystate Medical Center , Springfield, Massachusetts
– name: 2 Pulmonary and Critical Care Divisions, Departments of Medicine, LDS Hospital and University of Utah School of Medicine , Salt Lake City, Utah
– name: 10 University of Pennsylvania School of Nursing , Philadelphia, Pennsylvania
– name: 9 Division of Allergy, Pulmonary, and Critical Care, Vanderbilt University , Nashville, Tennessee
– name: 1 Pulmonary and Critical Care Unit, Massachusetts General Hospital , Boston, Massachusetts
– name: 7 Section on Pulmonary and Critical Care, Wake Forest University Health Sciences , Winston-Salem, North Carolina
Author_xml – sequence: 1
  givenname: B. Taylor
  surname: Thompson
  fullname: Thompson, B. Taylor
  organization: Pulmonary and Critical Care Unit, Massachusetts General Hospital, Boston, Massachusetts
– sequence: 2
  givenname: James F.
  surname: Orme
  fullname: Orme, James F.
  organization: Pulmonary and Critical Care Divisions, Departments of Medicine, LDS Hospital and University of Utah School of Medicine, Salt Lake City, Utah
– sequence: 3
  givenname: Hui
  surname: Zheng
  fullname: Zheng, Hui
  organization: Biostatistics Center, Massachusetts General Hospital, Boston, Massachusetts
– sequence: 4
  givenname: Peter M.
  surname: Luckett
  fullname: Luckett, Peter M.
  organization: Department of Pediatrics, University of Texas Southwestern Medical Center, Dallas, Texas
– sequence: 5
  givenname: Jonathon D.
  surname: Truwit
  fullname: Truwit, Jonathon D.
  organization: University of Virginia, Charlottesville, Virginia
– sequence: 6
  givenname: Douglas F.
  surname: Willson
  fullname: Willson, Douglas F.
  organization: Children's Hospital of the University of Virginia, Charlottesville, Virginia
– sequence: 7
  givenname: R. Duncan
  surname: Hite
  fullname: Hite, R. Duncan
  organization: Section on Pulmonary and Critical Care, Wake Forest University Health Sciences, Winston-Salem, North Carolina
– sequence: 8
  givenname: Roy G.
  surname: Brower
  fullname: Brower, Roy G.
  organization: Pulmonary and Critical Care Medicine, Johns Hopkins University, Baltimore, Maryland
– sequence: 9
  givenname: Gordon R.
  surname: Bernard
  fullname: Bernard, Gordon R.
  organization: Division of Allergy, Pulmonary, and Critical Care, Vanderbilt University, Nashville, Tennessee
– sequence: 10
  givenname: Martha A. Q.
  surname: Curley
  fullname: Curley, Martha A. Q.
  organization: University of Pennsylvania School of Nursing, Philadelphia, Pennsylvania
– sequence: 11
  givenname: Jay S.
  surname: Steingrub
  fullname: Steingrub, Jay S.
  organization: Division of Critical Care Medicine, Baystate Medical Center, Springfield, Massachusetts
– sequence: 12
  givenname: Dean K.
  surname: Sorenson
  fullname: Sorenson, Dean K.
  organization: Department of BioMedical Informatics, University of Utah School of Medicine, Salt Lake City, Utah
– sequence: 13
  givenname: Kathy
  surname: Sward
  fullname: Sward, Kathy
  organization: Department of Nursing Informatics, University of Utah School of Nursing, Salt Lake City, Utah
– sequence: 14
  givenname: Ellie
  surname: Hirshberg
  fullname: Hirshberg, Ellie
  organization: Pulmonary and Critical Care Divisions, Departments of Medicine, LDS Hospital and University of Utah School of Medicine, Salt Lake City, Utah
– sequence: 15
  givenname: Alan H.
  surname: Morris
  fullname: Morris, Alan H.
  organization: Pulmonary and Critical Care Divisions, Departments of Medicine, LDS Hospital and University of Utah School of Medicine, Salt Lake City, Utah
BackLink https://www.ncbi.nlm.nih.gov/pubmed/19885199$$D View this record in MEDLINE/PubMed
BookMark eNp1kdtuFSEYhYlpYw_6Al4Y7rwahYHhcGNSd7U2aVMTW28JA4xi2DAC08RH8K1l7LbxkF5B_v9bawXWEdiLKToAnmH0EmPOX2FJ-l4ygQRCPUIE0UfgcB12BCO-t7uvxAE4KuUrQgMVnD8GB1gKMWApD8GPyyVUb1ysLsNPOnirq08RpglquEnbeWmL7o0uzsJN8NEbHeCpM76s1MdlnlOu8DqlAKeU4VlYTCquKWPNbeYjPLEtAepo4Qdnva7ZG3je4mLxtw3U2cGb6Gt5AvYnHYp7ujuPwc27t9eb993F1dn55uSiM2RgtJMGGeMMswOhFmmMiBiJ0EgzQidLR0KNFIRKTNyI2TRSPA4IT5ZTOUw97skxeH3nOy_j1tn16VkHNWe_1fm7StqrvzfRf1Gf063qOZOc4GbwYmeQ07fFlaq2vhgXgo4uLUVxQhiijLBGPv8z6j7j9_c3QNwBJqdSspuU8fVXAS3ZB4WRWptW_zfdpP0_0nv3h0U_ARivq9A
CitedBy_id crossref_primary_10_1016_j_cct_2016_12_023
crossref_primary_10_3390_app11062880
crossref_primary_10_4037_ajcc2021725
crossref_primary_10_1093_jamia_ocaa294
crossref_primary_10_1016_j_mayocp_2013_07_003
crossref_primary_10_1007_s10877_012_9356_y
crossref_primary_10_1016_j_ccm_2008_06_002
crossref_primary_10_1007_s10877_015_9718_3
crossref_primary_10_1016_j_bpa_2008_09_002
crossref_primary_10_1097_TA_0b013e31821598e9
crossref_primary_10_1378_chest_12_2072
crossref_primary_10_1016_j_chest_2021_04_049
crossref_primary_10_1016_j_chest_2018_04_025
crossref_primary_10_1513_AnnalsATS_201706_449KV
crossref_primary_10_1177_193229681200600107
crossref_primary_10_1186_cc13851
crossref_primary_10_1097_PCC_0b013e3181e88cfb
crossref_primary_10_1007_s10877_012_9364_y
crossref_primary_10_1016_j_pcl_2017_06_006
crossref_primary_10_1093_jamia_ocac143
crossref_primary_10_3810_hp_2011_04_393
crossref_primary_10_1177_193229681200600108
crossref_primary_10_1177_193229681300700231
crossref_primary_10_1002_jso_24790
crossref_primary_10_1378_chest_12_1908
crossref_primary_10_4187_respcare_07763
crossref_primary_10_1016_j_chest_2019_05_016
crossref_primary_10_1177_193229681300700512
crossref_primary_10_1089_dia_2011_0130
crossref_primary_10_1097_CIN_0000000000001107
crossref_primary_10_1177_193229680800200508
crossref_primary_10_1093_jamia_ocv067
crossref_primary_10_1016_j_jclinane_2016_02_027
crossref_primary_10_1177_1557234X13493250
crossref_primary_10_1097_PCC_0b013e31826049b3
crossref_primary_10_1089_dia_2016_0423
crossref_primary_10_4103_jod_jod_112_21
crossref_primary_10_1007_s00134_009_1703_1
crossref_primary_10_1097_PCC_0b013e3181fe2e86
crossref_primary_10_1007_s12553_023_00758_y
crossref_primary_10_1097_PCC_0b013e3181e8f502
Cites_doi 10.1378/chest.07-2702
10.1097/01.PCC.0000128607.68261.7C
10.1097/01.ta.0000188933.16637.68
10.1089/dia.2006.0015
10.1097/01.CCM.0000045567.78801.CC
10.4065/79.8.992
10.1542/peds.2005-1819
10.1097/01.CCM.0000045568.12881.10
10.1056/NEJMoa052521
10.1056/NEJMoa070716
10.1186/cc2840
10.1007/s001340050406
10.2337/dc06-1964
10.4158/EP.10.S2.4
10.1097/01.mlr.0000109127.76128.aa
10.1097/00000542-200608000-00006
10.1056/NEJMoa011300
10.1089/dia.2006.8.174
10.1097/CCM.0b013e3181743a5a
10.4037/ajcc2006.15.4.370
10.7326/0003-4819-132-5-200003070-00007
ContentType Journal Article
Contributor Nadkarni, V
Graciano, A L
Sward, Kathy
Truwit, J
Wiedemann, H
Jarvis, D
Oldmixon, C
Marshall, M
Steingrub, J
Larsen, G
Curley, Martha
Srinivasan, V
Bayer Roth, C
Bogue, C
Levin, D
Brower, R
Howard, A
Hite, R D
Rubenfeld, G
Guerguerian, A
Sorenson, Dean
Bernard, G B
Steingrub, Jay
Kozikowski, L
Fajardo, F
Hite, D
Willson, D
Lacroix, J
Hutchins, L
Jefferson, L
Zheng, H
Clemmer, T
Heidemann, S
Lazar, I
Newth, C
Bozeman, S
Boucher, K
Blumberg, L
Orme, J
Faustino, V
Cox, P
Randolph, A
Thompson, B T
Baumann, L
Hess, J
Ball, M
Morris, A
Cannizzaro, G
Haug, Peter
Tidswell, M
Anand, S
Meade, M
Hirshberg, E
Bliss, C
Warner, Homer
Grissom, C
Thomas, N
Shalaby, T
Luckett, P
Schoenfeld, D
Patel, N
Contributor_xml – sequence: 1
  givenname: A
  surname: Morris
  fullname: Morris, A
– sequence: 2
  givenname: Dean
  surname: Sorenson
  fullname: Sorenson, Dean
– sequence: 3
  givenname: Kathy
  surname: Sward
  fullname: Sward, Kathy
– sequence: 4
  givenname: Homer
  surname: Warner
  fullname: Warner, Homer
– sequence: 5
  givenname: Peter
  surname: Haug
  fullname: Haug, Peter
– sequence: 6
  givenname: B T
  surname: Thompson
  fullname: Thompson, B T
– sequence: 7
  givenname: J
  surname: Orme
  fullname: Orme, J
– sequence: 8
  givenname: H
  surname: Zheng
  fullname: Zheng, H
– sequence: 9
  givenname: P
  surname: Luckett
  fullname: Luckett, P
– sequence: 10
  givenname: J
  surname: Truwit
  fullname: Truwit, J
– sequence: 11
  givenname: D
  surname: Willson
  fullname: Willson, D
– sequence: 12
  givenname: D
  surname: Hite
  fullname: Hite, D
– sequence: 13
  givenname: R
  surname: Brower
  fullname: Brower, R
– sequence: 14
  givenname: G B
  surname: Bernard
  fullname: Bernard, G B
– sequence: 15
  givenname: Martha
  surname: Curley
  fullname: Curley, Martha
– sequence: 16
  givenname: Jay
  surname: Steingrub
  fullname: Steingrub, Jay
– sequence: 17
  givenname: E
  surname: Hirshberg
  fullname: Hirshberg, E
– sequence: 18
  givenname: D
  surname: Schoenfeld
  fullname: Schoenfeld, D
– sequence: 19
  givenname: C
  surname: Oldmixon
  fullname: Oldmixon, C
– sequence: 20
  givenname: C
  surname: Bliss
  fullname: Bliss, C
– sequence: 21
  givenname: H
  surname: Wiedemann
  fullname: Wiedemann, H
– sequence: 22
  givenname: G
  surname: Rubenfeld
  fullname: Rubenfeld, G
– sequence: 23
  givenname: M
  surname: Meade
  fullname: Meade, M
– sequence: 24
  givenname: S
  surname: Anand
  fullname: Anand, S
– sequence: 25
  givenname: T
  surname: Clemmer
  fullname: Clemmer, T
– sequence: 26
  givenname: C
  surname: Grissom
  fullname: Grissom, C
– sequence: 27
  givenname: G
  surname: Larsen
  fullname: Larsen, G
– sequence: 28
  givenname: V
  surname: Nadkarni
  fullname: Nadkarni, V
– sequence: 29
  givenname: V
  surname: Srinivasan
  fullname: Srinivasan, V
– sequence: 30
  givenname: C
  surname: Bayer Roth
  fullname: Bayer Roth, C
– sequence: 31
  givenname: L
  surname: Hutchins
  fullname: Hutchins, L
– sequence: 32
  givenname: S
  surname: Bozeman
  fullname: Bozeman, S
– sequence: 33
  givenname: R D
  surname: Hite
  fullname: Hite, R D
– sequence: 34
  givenname: A
  surname: Howard
  fullname: Howard, A
– sequence: 35
  givenname: K
  surname: Boucher
  fullname: Boucher, K
– sequence: 36
  givenname: L
  surname: Baumann
  fullname: Baumann, L
– sequence: 37
  givenname: M
  surname: Marshall
  fullname: Marshall, M
– sequence: 38
  givenname: M
  surname: Ball
  fullname: Ball, M
– sequence: 39
  givenname: C
  surname: Bogue
  fullname: Bogue, C
– sequence: 40
  givenname: V
  surname: Faustino
  fullname: Faustino, V
– sequence: 41
  givenname: I
  surname: Lazar
  fullname: Lazar, I
– sequence: 42
  givenname: N
  surname: Thomas
  fullname: Thomas, N
– sequence: 43
  givenname: J
  surname: Hess
  fullname: Hess, J
– sequence: 44
  givenname: J
  surname: Steingrub
  fullname: Steingrub, J
– sequence: 45
  givenname: M
  surname: Tidswell
  fullname: Tidswell, M
– sequence: 46
  givenname: L
  surname: Kozikowski
  fullname: Kozikowski, L
– sequence: 47
  givenname: N
  surname: Patel
  fullname: Patel, N
– sequence: 48
  givenname: T
  surname: Shalaby
  fullname: Shalaby, T
– sequence: 49
  givenname: A L
  surname: Graciano
  fullname: Graciano, A L
– sequence: 50
  givenname: P
  surname: Cox
  fullname: Cox, P
– sequence: 51
  givenname: A
  surname: Guerguerian
  fullname: Guerguerian, A
– sequence: 52
  givenname: J
  surname: Lacroix
  fullname: Lacroix, J
– sequence: 53
  givenname: G
  surname: Cannizzaro
  fullname: Cannizzaro, G
– sequence: 54
  givenname: D
  surname: Levin
  fullname: Levin, D
– sequence: 55
  givenname: D
  surname: Jarvis
  fullname: Jarvis, D
– sequence: 56
  givenname: L
  surname: Blumberg
  fullname: Blumberg, L
– sequence: 57
  givenname: S
  surname: Heidemann
  fullname: Heidemann, S
– sequence: 58
  givenname: C
  surname: Newth
  fullname: Newth, C
– sequence: 59
  givenname: F
  surname: Fajardo
  fullname: Fajardo, F
– sequence: 60
  givenname: L
  surname: Jefferson
  fullname: Jefferson, L
– sequence: 61
  givenname: A
  surname: Randolph
  fullname: Randolph, A
Copyright 2008 Diabetes Technology Society
Copyright_xml – notice: 2008 Diabetes Technology Society
CorporateAuthor for the Reengineering Critical Care Clinical Research Investigators
Reengineering Critical Care Clinical Research Investigators
CorporateAuthor_xml – name: for the Reengineering Critical Care Clinical Research Investigators
– name: Reengineering Critical Care Clinical Research Investigators
DBID AAYXX
CITATION
NPM
7X8
5PM
DOI 10.1177/193229680800200304
DatabaseName CrossRef
PubMed
MEDLINE - Academic
PubMed Central (Full Participant titles)
DatabaseTitle CrossRef
PubMed
MEDLINE - Academic
DatabaseTitleList PubMed
MEDLINE - Academic
Database_xml – sequence: 1
  dbid: NPM
  name: PubMed
  url: https://proxy.k.utb.cz/login?url=http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed
  sourceTypes: Index Database
DeliveryMethod fulltext_linktorsrc
Discipline Medicine
EISSN 1932-3107
EndPage 368
ExternalDocumentID PMC2769731
19885199
10_1177_193229680800200304
Genre Journal Article
GroupedDBID ---
-TM
0R~
53G
54M
AABMB
AACMV
AACTG
AADCB
AADUE
AAEWN
AAGLT
AAGMC
AAJPV
AAKGS
AANEX
AAQXI
AARDL
AARIX
AATAA
AATBZ
AAUAS
AAYXX
ABAWP
ABCCA
ABCJG
ABEIX
ABFWQ
ABIDT
ABJIS
ABJNI
ABJZC
ABKRH
ABLUO
ABPNF
ABQXT
ABRHV
ABUJY
ABVFX
ACARO
ACDSZ
ACDXX
ACFEJ
ACGFO
ACGFS
ACGZU
ACJER
ACJTF
ACLFY
ACLZU
ACOFE
ACOXC
ACROE
ACSIQ
ACUAV
ACUIR
ACXKE
ACXMB
ADBBV
ADDVE
ADEBD
ADNON
ADRRZ
ADVBO
ADZZY
AECGH
AEDTQ
AEKYL
AEPTA
AEQLS
AERKM
AESZF
AEUHG
AEWDL
AEWHI
AEXNY
AFEET
AFKRG
AFMOU
AFQAA
AFUIA
AGHKR
AGKLV
AGNHF
AGPXR
AGWFA
AHDMH
AJGYC
AJUZI
AJXAJ
ALJHS
ALKWR
ALMA_UNASSIGNED_HOLDINGS
AMCVQ
ANDLU
AOIJS
ARTOV
AUTPY
AYAKG
B8M
BAWUL
BBRGL
BDDNI
BKIIM
BKSCU
BPACV
BSEHC
BWJAD
C45
CDWPY
CFDXU
CITATION
DC-
DC.
DIK
DOPDO
DV7
E3Z
EBS
EJD
EMOBN
F5P
FHBDP
GROUPED_SAGE_PREMIER_JOURNAL_COLLECTION
GX1
H13
HYE
J8X
K.F
O9-
OK1
OVD
P2P
P6G
ROL
RPM
SASJQ
SAUOL
SCNPE
SFC
SFH
SHG
SJN
SPQ
SPV
TEORI
TR2
ZONMY
ZPPRI
ZRKOI
ZSSAH
ACTQU
AEUIJ
AIOMO
ALTZF
M4V
NPM
7X8
AAPII
AJVBE
5PM
AJHME
ID FETCH-LOGICAL-c3564-9c0ccec6d534d0a1038b38a0a634fd4b34c9834913eb16fb41b501fd7495f2123
ISSN 1932-2968
IngestDate Thu Aug 21 14:09:00 EDT 2025
Tue Aug 05 09:50:28 EDT 2025
Wed Feb 19 01:46:38 EST 2025
Thu Apr 24 22:59:07 EDT 2025
Tue Jul 01 00:49:30 EDT 2025
IsDoiOpenAccess false
IsOpenAccess true
IsPeerReviewed true
IsScholarly true
Issue 3
Keywords critical care
glucose control
intensive insulin therapy
computerized decision support
Language English
License https://journals.sagepub.com/page/policies/text-and-data-mining-license
LinkModel OpenURL
MergedId FETCHMERGED-LOGICAL-c3564-9c0ccec6d534d0a1038b38a0a634fd4b34c9834913eb16fb41b501fd7495f2123
Notes ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 23
Funding: Funding for this Roadmap project was provided through a contract with the National Institutes of Health (HHSN268200425210C).
OpenAccessLink https://journals.sagepub.com/doi/pdf/10.1177/193229680800200304
PMID 19885199
PQID 733604636
PQPubID 23479
PageCount 12
ParticipantIDs pubmedcentral_primary_oai_pubmedcentral_nih_gov_2769731
proquest_miscellaneous_733604636
pubmed_primary_19885199
crossref_citationtrail_10_1177_193229680800200304
crossref_primary_10_1177_193229680800200304
ProviderPackageCode CITATION
AAYXX
PublicationCentury 2000
PublicationDate 20080500
PublicationDateYYYYMMDD 2008-05-01
PublicationDate_xml – month: 5
  year: 2008
  text: 20080500
PublicationDecade 2000
PublicationPlace United States
PublicationPlace_xml – name: United States
PublicationSeriesTitle Computerized Algorithms
PublicationTitle Journal of diabetes science and technology
PublicationTitleAlternate J Diabetes Sci Technol
PublicationYear 2008
Publisher Diabetes Technology Society
Publisher_xml – name: Diabetes Technology Society
References bibr11-193229680800200304
bibr6-193229680800200304
Ingle S (bibr14-193229680800200304) 2005; 2
bibr5-193229680800200304
bibr7-193229680800200304
bibr10-193229680800200304
bibr8-193229680800200304
Morris A (bibr12-193229680800200304) 2006
bibr3-193229680800200304
bibr4-193229680800200304
bibr2-193229680800200304
bibr1-193229680800200304
bibr16-193229680800200304
bibr17-193229680800200304
bibr15-193229680800200304
bibr9-193229680800200304
Saberi AA (bibr13-193229680800200304) 2004; 169
bibr23-193229680800200304
bibr24-193229680800200304
bibr25-193229680800200304
bibr19-193229680800200304
bibr18-193229680800200304
bibr21-193229680800200304
bibr22-193229680800200304
bibr20-193229680800200304
15251633 - Endocr Pract. 2004 Mar-Apr;10 Suppl 2:4-9
18184958 - N Engl J Med. 2008 Jan 10;358(2):125-39
18520641 - Crit Care Med. 2008 Jun;36(6):1787-95
16452557 - N Engl J Med. 2006 Feb 2;354(5):449-61
10691588 - Ann Intern Med. 2000 Mar 7;132(5):373-83
16385293 - J Trauma. 2005 Nov;59(5):1148-54
16871057 - Anesthesiology. 2006 Aug;105(2):244-52
15153239 - Crit Care. 2004 Jun;8(3):R122-7
18339779 - Chest. 2008 Jun;133(6):1328-35
12576937 - Crit Care Med. 2003 Feb;31(2):359-66
15215001 - Pediatr Crit Care Med. 2004 Jul;5(4):329-36
16734548 - Diabetes Technol Ther. 2006 Apr;8(2):174-90
15301325 - Mayo Clin Proc. 2004 Aug;79(8):992-1000
12576939 - Crit Care Med. 2003 Feb;31(2):374-82
11794168 - N Engl J Med. 2001 Nov 8;345(19):1359-67
14734944 - Med Care. 2004 Feb;42(2 Suppl):II67-73
17213376 - Diabetes Care. 2007 Apr;30(4):1005-11
16818563 - Pediatrics. 2006 Jul;118(1):173-9
16823014 - Am J Crit Care. 2006 Jul;15(4):370-7
17561793 - Diabetes Technol Ther. 2007 Jun;9(3):232-40
9290990 - Intensive Care Med. 1997 Jul;23(7):760-5
References_xml – ident: bibr20-193229680800200304
  doi: 10.1378/chest.07-2702
– ident: bibr18-193229680800200304
  doi: 10.1097/01.PCC.0000128607.68261.7C
– ident: bibr17-193229680800200304
  doi: 10.1097/01.ta.0000188933.16637.68
– ident: bibr22-193229680800200304
  doi: 10.1089/dia.2006.0015
– ident: bibr15-193229680800200304
  doi: 10.1097/01.CCM.0000045567.78801.CC
– ident: bibr8-193229680800200304
  doi: 10.4065/79.8.992
– ident: bibr19-193229680800200304
  doi: 10.1542/peds.2005-1819
– volume: 2
  start-page: A38
  year: 2005
  ident: bibr14-193229680800200304
  publication-title: Proceedings of the American Thoracic Society
– ident: bibr3-193229680800200304
  doi: 10.1097/01.CCM.0000045568.12881.10
– ident: bibr6-193229680800200304
– ident: bibr2-193229680800200304
  doi: 10.1056/NEJMoa052521
– ident: bibr5-193229680800200304
  doi: 10.1056/NEJMoa070716
– ident: bibr23-193229680800200304
  doi: 10.1186/cc2840
– ident: bibr16-193229680800200304
  doi: 10.1007/s001340050406
– ident: bibr7-193229680800200304
  doi: 10.2337/dc06-1964
– ident: bibr4-193229680800200304
  doi: 10.4158/EP.10.S2.4
– ident: bibr25-193229680800200304
  doi: 10.1097/01.mlr.0000109127.76128.aa
– ident: bibr24-193229680800200304
  doi: 10.1097/00000542-200608000-00006
– ident: bibr1-193229680800200304
  doi: 10.1056/NEJMoa011300
– ident: bibr21-193229680800200304
  doi: 10.1089/dia.2006.8.174
– start-page: 537
  volume-title: Ventilator-induced lung injury
  year: 2006
  ident: bibr12-193229680800200304
– volume: 169
  start-page: A38
  issue: 7
  year: 2004
  ident: bibr13-193229680800200304
  publication-title: Am J Respir Crit Care Med.
– ident: bibr10-193229680800200304
  doi: 10.1097/CCM.0b013e3181743a5a
– ident: bibr9-193229680800200304
  doi: 10.4037/ajcc2006.15.4.370
– ident: bibr11-193229680800200304
  doi: 10.7326/0003-4819-132-5-200003070-00007
– reference: 15251633 - Endocr Pract. 2004 Mar-Apr;10 Suppl 2:4-9
– reference: 11794168 - N Engl J Med. 2001 Nov 8;345(19):1359-67
– reference: 15215001 - Pediatr Crit Care Med. 2004 Jul;5(4):329-36
– reference: 16385293 - J Trauma. 2005 Nov;59(5):1148-54
– reference: 17213376 - Diabetes Care. 2007 Apr;30(4):1005-11
– reference: 18520641 - Crit Care Med. 2008 Jun;36(6):1787-95
– reference: 15301325 - Mayo Clin Proc. 2004 Aug;79(8):992-1000
– reference: 12576937 - Crit Care Med. 2003 Feb;31(2):359-66
– reference: 16452557 - N Engl J Med. 2006 Feb 2;354(5):449-61
– reference: 16818563 - Pediatrics. 2006 Jul;118(1):173-9
– reference: 16823014 - Am J Crit Care. 2006 Jul;15(4):370-7
– reference: 18184958 - N Engl J Med. 2008 Jan 10;358(2):125-39
– reference: 17561793 - Diabetes Technol Ther. 2007 Jun;9(3):232-40
– reference: 18339779 - Chest. 2008 Jun;133(6):1328-35
– reference: 9290990 - Intensive Care Med. 1997 Jul;23(7):760-5
– reference: 12576939 - Crit Care Med. 2003 Feb;31(2):374-82
– reference: 10691588 - Ann Intern Med. 2000 Mar 7;132(5):373-83
– reference: 15153239 - Crit Care. 2004 Jun;8(3):R122-7
– reference: 16734548 - Diabetes Technol Ther. 2006 Apr;8(2):174-90
– reference: 14734944 - Med Care. 2004 Feb;42(2 Suppl):II67-73
– reference: 16871057 - Anesthesiology. 2006 Aug;105(2):244-52
SSID ssj0054877
Score 2.002352
Snippet Hyperglycemia during critical illness is common, and intravenous insulin therapy (IIT) to normalize blood glucose improves outcomes in selected populations....
SourceID pubmedcentral
proquest
pubmed
crossref
SourceType Open Access Repository
Aggregation Database
Index Database
Enrichment Source
StartPage 357
SubjectTerms Symposium
Title Multicenter Validation of a Computer-Based Clinical Decision Support Tool for Glucose Control in Adult and Pediatric Intensive Care Units
URI https://www.ncbi.nlm.nih.gov/pubmed/19885199
https://www.proquest.com/docview/733604636
https://pubmed.ncbi.nlm.nih.gov/PMC2769731
Volume 2
hasFullText 1
inHoldings 1
isFullTextHit
isPrint
link http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnV3JjtNAEG2FQUJcRuyETXXgFnlkuztejgiBIsRwmpFGXCK3u1tjCZwoiS_8Af_Bh05VL7aTMAi4WJHtlKXUS3V1-dUrxt6WSaF1PMfdSW3KSCiRRVKlPJImw5DMdZUbahQ-_5ItLsWnq_nVZPJrxFrqdvKs_vHbvpL_8SqeQ79Sl-w_eLY3iifwM_oXj-hhPP6Vj233LNEr9WaGdhvV53-V5YrTuIaI1ik1dEAqP1Rntu3WlHtj8rmyPYyzQ_Z60zp1DqclEEZ6WIEJR3q3rLEOY8L2lhS3L-yG5iFL1zwq5g-kFMTazNUQ-uLvxo1xt2zegYb89Vq7ILXomnDuM1FERqxjX-gNJY1iIBCeaReGMavE1cHNww1xOh3BkY9iLncK18drgX0bTabSkgaMUGZML4LHN6M_198tOpKywOTTDWs6UOAOl-6wuyluRtJQE3LrPW358tCORUIGRw-0wrTOxH72c7SlOWTmjlKdiwfs1DsQ3jnAPWQT3T5i9849C-Mx-znCHQy4g5WBCvZxBwF3EHAHHndAuAPEHXjcgccdNC1Y3AGiBXrcQY87INyBxd0Tdvnxw8X7ReRHekQ1n2ciKuu4rnWdqTkXKq5InV_yooqrjAujhOSiLgsuyoRjDpEZKRI5jxOjctzHG8qynrKTdtXq5wwKU6QmF1KiMcGNkIkQpq7yTGGWW8VqypLwUy9rr3dPY1e-LRMvcX_sqSmb9d9ZO7WXP94NwYNLDMr0pq1q9arbLklj1ErxTdkz59DBnEfClOV7ru5vIL33_Sttc21139M8o0FzL261-ZLdH_5Or9jJbtPp15gz7-QbC9kbq__G4A
linkProvider National Library of Medicine
openUrl ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Multicenter+validation+of+a+computer-based+clinical+decision+support+tool+for+glucose+control+in+adult+and+pediatric+intensive+care+units&rft.jtitle=Journal+of+diabetes+science+and+technology&rft.au=Thompson%2C+B+Taylor&rft.au=Orme%2C+James+F&rft.au=Zheng%2C+Hui&rft.au=Luckett%2C+Peter+M&rft.date=2008-05-01&rft.eissn=1932-3107&rft.volume=2&rft.issue=3&rft.spage=357&rft_id=info:doi/10.1177%2F193229680800200304&rft_id=info%3Apmid%2F19885199&rft.externalDocID=19885199
thumbnail_l http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=1932-2968&client=summon
thumbnail_m http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=1932-2968&client=summon
thumbnail_s http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=1932-2968&client=summon