Prospective evaluation of a dynamic insulin infusion algorithm for non critically-ill diabetic patients: A before-after study

Nathanaëlle Montanier, Lise Bernard, Céline Lambert, Bruno Pereira, Françoise Desbiez, Daniel Terral, Armand Abergel, Jérôme Bohatier, Eugenio Rosset, Jeannot Schmidt, Valérie Sautou, Samy Hadjadj, Marie Batisse-Lignier, Igor Tauveron, Salwan Maqdasy and Béatrice Roche

PLOS ONE, 2019, vol. 14, issue 1, 1-16

Abstract: Introduction: Insulin infusion is recommended during management of diabetic patients in critical care units to rapidly achieve glycaemic stability and reduce the mortality. The application of an easy-to-use standardized protocol, compatible with the workload is preferred. Glycaemic target must quickly be reached, therefore static algorithms should be replaced by dynamic ones. The dynamic algorithm seems closer to the physiological situation and appreciates insulin sensitivity. However, the protocol must meet both safety and efficiency requirements. Indeed, apprehension from hypoglycaemia is the main deadlock with the dynamic algorithms, thus their application remains limited. In contrary to the critical care units, to date, no prospective study evaluated a dynamic algorithm of insulin infusion in non-critically ill patients. Aim: This study primarily aimed to evaluate the efficacy of a dynamic algorithm of intravenous insulin therapy in non-critically-ill patients, and addressed its safety and feasibility in different departments of our university hospital. Methods: A "before-after" study was conducted in five hospital departments (endocrinology and four “non-expert” units) comparing a dynamic algorithm (during the "after" period-P2) to the static protocol (the “before” period-P1). Static protocol is based on determining insulin infusion according to an instant blood glycaemia (BG) level at a given time. In the dynamic algorithm, insulin infusion rate is determined according to the rate of change of the BG (the previous and actual BG under a specific insulin infusion rate). Additionally, two distinct glycaemic targets were defined according to the patients’ profile: 100–180 mg/dl (5.5–10 mmol/l) for vigorous patients and 140–220 mg/dl (7.8–12.2 mmol/l) for frail ones. Different BG measurements for each patient were collected and recorded in a specific database (e-CRF) in order to analyse the rates of hypo- and hyperglycaemia. A satisfaction survey was also performed. A study approval was obtained from the institutional revision board before starting the study. Results: Over 8 months, 72 and 66 patients during P1 and P2 were respectively included. The dynamic algorithm was more efficient, with reduced time to control hyperglycaemia (P1 vs P2:8.3 vs 5.3 hours; HR: 2.02 [1.27; 3.21]; p

Date: 2019
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Persistent link: https://EconPapers.repec.org/RePEc:plo:pone00:0211425

DOI: 10.1371/journal.pone.0211425

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