title: Pilot study of a model-based approach to blood glucose control in very-low-birthweight neonates.
abstract: BACKGROUND
  Hyperglycemia often occurs in premature, very low birthweight infants (VLBW) due to immaturity of endogenous regulatory systems and the stress of their condition. Hyperglycemia in neonates has been linked to increased morbidities and mortality and occurs at increasing rates with decreasing birthweight. In this cohort, the emerging use of insulin to manage hyperglycemia has carried a significant risk of hypoglycemia. The efficacy of blood glucose control using a computer metabolic system model to determine insulin infusion rates was assessed in very-low-birth-weight infants.
  
  
  METHODS
  Initial short-term 24-hour trials were performed on 8 VLBW infants with hyperglycemia followed by long-term trials of several days performed on 22 infants. Median birthweight was 745 g and 760 g for short-term and long-term trial infants, and median gestational age at birth was 25.6 and 25.4 weeks respectively. Blood glucose control is compared to 21 retrospective patients from the same unit who received insulin infusions determined by sliding scales and clinician intuition. This study was approved by the Upper South A Regional Ethics Committee, New Zealand (ClinicalTrials.gov registration NCT01419873).
  
  
  RESULTS
  Reduction in hyperglycemia towards the target glucose band was achieved safely in all cases during the short-term trials with no hypoglycemic episodes. Lower median blood glucose concentration was achieved during clinical implementation at 6.6 mmol/L (IQR: 5.5 - 8.2 mmol/L, 1,003 measurements), compared to 8.0 mmol/L achieved in similar infants previously (p < 0.01). No significant difference in incidence of hypoglycemia during long-term trials was observed (0.25% vs 0.25%, p = 0.51). Percentage of blood glucose within the 4.0 - 8.0 mmol/L range was increased by 41% compared to the retrospective cohort (68.4% vs 48.4%, p < 0.01).
  
  
  CONCLUSIONS
  A computer model that accurately captures the dynamics of neonatal metabolism can provide safe and effective blood glucose control without increasing hypoglycemia.
  
  
  BACKGROUND
  ClinicalTrials.gov registration NCT01419873.
authors.affiliation: Department of Mechanical Engineering, University of Canterbury, Christchurch, New Zealand. aaron.lecompte@canterbury.ac.nz
authors.forename: Aaron J
authors.initials: AJ
authors.lastname: Le Compte
authors.forename: Adrienne M
authors.initials: AM
authors.lastname: Lynn
authors.forename: Jessica
authors.initials: J
authors.lastname: Lin
authors.forename: Christopher G
authors.initials: CG
authors.lastname: Pretty
authors.forename: Geoffrey M
authors.initials: GM
authors.lastname: Shaw
authors.forename: J Geoffrey
authors.initials: JG
authors.lastname: Chase
mesh_terms: D000465:Algorithms; D015415:Biomarkers / Q000097:blood; D001786:Blood Glucose / Q000378:metabolism*; D006801:Humans; D006943:Hyperglycemia / Q000097:blood / Q000188:drug therapy*; D007003:Hypoglycemia / Q000097:blood / Q000139:chemically induced / Q000517:prevention & control; D007004:Hypoglycemic Agents / Q000008:administration & dosage* / Q000627:therapeutic use; D007231:Infant, Newborn; D007234:Infant, Premature; D007235:Infant, Premature, Diseases / Q000097:blood / Q000188:drug therapy*; D019102:Infant, Very Low Birth Weight / Q000097:blood*; D007328:Insulin / Q000008:administration & dosage* / Q000627:therapeutic use; D007332:Insulin Infusion Systems; D007333:Insulin Resistance; D008954:Models, Biological; D010865:Pilot Projects
chemical_list: D015415:Biomarkers; D001786:Blood Glucose; D007004:Hypoglycemic Agents; D007328:Insulin