Literature DB >> 29291648

Comparison of Computer-Guided Versus Standard Insulin Infusion Regimens in Patients With Diabetic Ketoacidosis.

Jagdeesh Ullal1, Joseph A Aloi2, David Reyes-Umpierrez3, Francisco J Pasquel3, Raymie McFarland4, Marina Rabinovich5, Guillermo E Umpierrez3.   

Abstract

BACKGROUND: This study was performed to investigate the efficacy of Glucommander (GM) (Glytec®), a computer-based algorithm versus standard (paper form-based) continuous insulin infusion (CII) in the treatment of patients with diabetic ketoacidosis (DKA).
METHODS: This was a retrospective multicenter study involving 2665 patients with DKA treated with either GM (n = 1750) or standard protocols (n = 915) across 34 institutions in the United States. GM estimates the rate of CII using an insulin sensitivity factor referred to as a "multiplier" that ranges between 0.01 and 0.03. Outcomes of interest were differences in time to resolve DKA (blood glucose [BG] <200 mg/dL and bicarbonate < 18 mmol/L) and number of hypoglycemic events defined as a BG <70 mg/dl.
RESULTS: Treatment with GM was associated with lower rates of hypoglycemia during the time of the insulin drip (12.9% vs 35%, P = .001), faster time to normalization of blood glucose (9.7 ± 8.9 vs 10.97 ± 10.2 hours, P = .0001) and resolution of metabolic acidosis (13.6 ± 11.8 vs 17.3 ± 19.6 hours, P = .0001), and shorter hospital length of stay (3.2 ± 2.9 vs 4.5 ± 4.8 days, P = .01) compared to standard care. Best treatment outcomes were achieved with an initial multiplier of 0.01 and a glucose target range between 120 and 180 mg/dl.
CONCLUSION: The GM algorithm in DKA treatment resulted in lower rates of hypoglycemia and faster DKA resolution over standard paper-based algorithms. Prospective randomized clinical trials comparing the efficacy and cost of computer-based algorithms versus standard CII regimens are warranted.

Entities:  

Keywords:  Glucommander; diabetic ketoacidosis; electronic glucose management system; intravenous insulin

Mesh:

Substances:

Year:  2018        PMID: 29291648      PMCID: PMC5762000          DOI: 10.1177/1932296817750899

Source DB:  PubMed          Journal:  J Diabetes Sci Technol        ISSN: 1932-2968


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