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Mixing rapid-acting insulin analogues with insulin glargine in children with type 1 diabetes mellitus. J Pediatr 2006 Apr;148(4):481-4

Date

05/02/2006

Pubmed ID

16647408

DOI

10.1016/j.jpeds.2005.11.036

Scopus ID

2-s2.0-33646092553 (requires institutional sign-in at Scopus site)   30 Citations

Abstract

OBJECTIVE: To determine whether mixing insulin glargine (IG) with a rapid-acting insulin (RAI) analogue in the same syringe had any deleterious effects on glycemic control in children with type 1 diabetes mellitus.

STUDY DESIGN: Data from 55 children mixing the IG with a RAI analogue was collected for 6 months before and 6 months after the insulin mixing began. Data from a control group of 55 children not mixing the insulins was collected at similar intervals. Parameters evaluated included hemoglobin A1c (HbA1c) values, number of non-severe and severe hypoglycemic events, number of diabetic ketoacidosis (DKA) events, and blood glucose distribution patterns.

RESULTS: After 6 months of study, HbA1c values were equivalent for the control and test groups (8.54+/-1.14 vs 8.61+/-1.14, respectively; P=1.0000). Percentages of blood glucose values in, above, and below the target range did not vary significantly in the groups. There were no significant differences in the groups in the occurrence of non-severe or severe hypoglycemic events or of DKA events.

CONCLUSION: There were no significant differences in glycemic control between children who mixed IG in the same syringe with a RAI analogue compared with children who took separate injections.

Author List

Fiallo-Scharer R, Horner B, McFann K, Walravens P, Chase HP

Author

Rosanna V. Fiallo-Scharer MD Professor in the Pediatrics department at Medical College of Wisconsin




MESH terms used to index this publication - Major topics in bold

Adolescent
Child
Diabetes Mellitus, Type 1
Diabetic Ketoacidosis
Drug Combinations
Female
Humans
Hypoglycemia
Injections
Insulin
Insulin Glargine
Insulin, Long-Acting
Male
Matched-Pair Analysis
Patient Compliance
Prospective Studies
Regression Analysis