title: Inpatient glucose control: a glycemic survey of 126 U.S. hospitals.
abstract: BACKGROUND
  Despite increased awareness of the value of treating inpatient hyperglycemia, little is known about glucose control in U.S. hospitals.
  
  
  METHODS
  The Remote Automated Laboratory System-Plus (RALS-Plus Medical Automation Systems, Charlottesville, VA) was used to extract inpatient point-of-care bedside glucose (POC-BG) tests from 126 hospitals for the period January to December 2007. Patient-day-weighted mean POC-BG and hypoglycemia/hyperglycemia rates were calculated for intensive care unit (ICU) and non-ICU areas. The relationship of POC-BG levels with hospital characteristics was determined.
  
  
  RESULTS
  A total of 12,559,305 POC-BG measurements were analyzed: 2,935,167 from the ICU and 9,624,138 from the non-ICU. Patient-day-weighted mean POC-BG was 165 mg/dL for ICU and 166 mg/dL for non-ICU. Hospital hyperglycemia (>180 mg/dL) prevalence was 46.0% for ICU and 31.7% for non-ICU. Hospital hypoglycemia (<70 mg/dL) prevalence was low at 10.1% for ICU and 3.5% for non-ICU. For ICU and non-ICU there was a significant relationship between number of beds and patient-day-weighted mean POC-BG levels, with larger hospitals (> or = 400 beds) having lower patient-day weighted mean POC-BG per patient day than smaller hospitals (<200 beds, P < 0.001). Rural hospitals had higher POC-BG levels compared to urban and academic hospitals (P < 0.05), and hospitals in the West had the lowest values.
  
  
  CONCLUSIONS
  POC-BG data captured through automated data management software can support hospital efforts to monitor the status of inpatient glycemic control. From these data, hospital hyperglycemia is common, hypoglycemia prevalence is low, and POC-BG levels vary by hospital characteristics. Increased hospital participation in data collection and reporting may facilitate the creation of a national benchmarking process for the development of best practices and improved inpatient hyperglycemia management.
authors.affiliation: Mayo Clinic College of Medicine, Scottsdale, Arizona, USA.
authors.forename: Curtiss B
authors.initials: CB
authors.lastname: Cook
authors.forename: Gail L
authors.initials: GL
authors.lastname: Kongable
authors.forename: Daniel Jason
authors.initials: DJ
authors.lastname: Potter
authors.forename: Victor J
authors.initials: VJ
authors.lastname: Abad
authors.forename: Dora E
authors.initials: DE
authors.lastname: Leija
authors.forename: Marcy
authors.initials: M
authors.lastname: Anderson
mesh_terms: D001786:Blood Glucose; D006739:Hospital Administration / Q000706:statistics & numerical data*; D006742:Hospital Bed Capacity / Q000706:statistics & numerical data; D006757:Hospital Units / Q000706:statistics & numerical data; D006801:Humans; D006943:Hyperglycemia / Q000453:epidemiology; D007003:Hypoglycemia / Q000453:epidemiology; D007256:Information Systems / Q000458:organization & administration; D007297:Inpatients / Q000706:statistics & numerical data*; D019095:Point-of-Care Systems; D015995:Prevalence; D014481:United States
chemical_list: D001786:Blood Glucose