PMID- 18034603
OWN - NLM
STAT- MEDLINE
DCOM- 20080207
LR  - 20071123
IS  - 1520-9156 (Print)
IS  - 1520-9156 (Linking)
VI  - 9
IP  - 6
DP  - 2007 Dec
TI  - Inpatient point-of-care bedside glucose testing: preliminary data on use of 
      connectivity informatics to measure hospital glycemic control.
PG  - 493-500
AB  - BACKGROUND: Point-of-care (POC) bedside glucose (BG) testing and timely 
      evaluation of its effectiveness are important components of hospital inpatient 
      glycemic control programs. We describe a new technology to evaluate inpatient 
      POC-BG testing and report preliminary results of inpatient glycemic control from 
      10 U.S. hospitals. METHODS: We used the Remote Automated Laboratory System 
      RALS-Tight Glycemic Control Module (TGCM) (Medical Automation Systems, 
      Charlottesville, VA) connected to the RALS-Plus to extract and analyze inpatient 
      POC-BG tests from 10 U.S. hospitals for a 3-month period. POC-BG measurements 
      were evaluated in aggregate from all 10 facilities for intensive care unit (ICU), 
      non-ICU, and ICU + non-ICU combined. RESULTS: A total of 742,154 POC-BGs were 
      analyzed. The combined (ICU + non-ICU) mean POC-BG was 159 mg/dL, compared with 
      146 mg/dL for the ICU and 164 mg/dL for non-ICU. The proportion of hypoglycemic 
      values (<70 mg/dL) was low at 4%, but the percentage of measurements that would 
      be considered hyperglycemic (>180 mg/dL) was high, with more than 30% of values 
      in the non-ICU and 20% in the ICU being elevated. CONCLUSIONS: POC-BG data can be 
      captured through automated data management software and can support hospital 
      efforts to evaluate and monitor the status of inpatient glycemic control. These 
      preliminary data suggest that there is a need to conduct broad-based efforts to 
      improve inpatient glucose management. Increasing hospital participation in data 
      collection has the potential to create a national benchmarking process for the 
      development of best practices and improved inpatient hyperglycemia management.
FAU - Cook, Curtiss B
AU  - Cook CB
AD  - Mayo Clinic College of Medicine, Scottsdale, Arizona, USA.
FAU - Moghissi, Etie
AU  - Moghissi E
FAU - Joshi, Renu
AU  - Joshi R
FAU - Kongable, Gail L
AU  - Kongable GL
FAU - Abad, Victor J
AU  - Abad VJ
LA  - eng
PT  - Clinical Trial
PT  - Journal Article
PL  - United States
TA  - Diabetes Technol Ther
JT  - Diabetes technology & therapeutics
JID - 100889084
RN  - 0 (Blood Glucose)
SB  - IM
MH  - Blood Glucose/*analysis
MH  - Hospitals/standards
MH  - Humans
MH  - Hyperglycemia/*diagnosis/prevention & control
MH  - Hypoglycemia/diagnosis/prevention & control
MH  - *Medical Informatics Applications
MH  - *Point-of-Care Systems
MH  - *Software
EDAT- 2007/11/24 09:00
MHDA- 2008/02/08 09:00
CRDT- 2007/11/24 09:00
PHST- 2007/11/24 09:00 [pubmed]
PHST- 2008/02/08 09:00 [medline]
PHST- 2007/11/24 09:00 [entrez]
AID - 10.1089/dia.2007.0232 [doi]
PST - ppublish
SO  - Diabetes Technol Ther. 2007 Dec;9(6):493-500. doi: 10.1089/dia.2007.0232.