Abstract

Currently glycaemic targets of <7.8 mmol/l without hypoglycaemia are recommended for diabetic patients on general wards before meals. Efficient and safe strategies to achieve these targets with subcutaneous insulin injections outside the intensive care setting are not well established. The aim of this trial was to evaluate a subcutaneous insulin algorithm, which incorporates insulin resistance due to individual features and acute illness, for correction of hyperglycaemia in general medical wards. This was a two-centre, randomised controlled trial in two Swiss hospitals. Patients with initial plasma glucose levels >8 mmol/l were randomised to either an intervention group or a control group. The primary endpoint was the time in the glycaemic target range (5.5-7.0 mmol/l) within the first 48 hours. Patients in the intervention group (n = 67) had significantly lower plasma glucose levels during the first 48 hours as compared with control patients (n = 63) (7.7 ± 3.0 mmol/l; mean ± standard deviation [SD]) vs 9.7 ± 3.9 mmol/l, p <0.0001). The intervention group reached the glycaemic target range earlier (median 9.5 vs 24.0 hours, p <0.0001) and remained longer in this range (difference: 9.5 hours, 95% confidence interval [CI] 5.1, 13.9). There were more episodes of mild hypoglycaemia in the intervention group (19.4% vs 6.3%, absolute difference 13.5%, 95%CI 1.8, 24.3), with no difference in rates of severe hypoglycaemia. Incorporation of insulin resistance factors into a subcutaneous insulin algorithm achieved early and sustained glycaemic control in noncritically ill patients admitted to general medical wards without apparent safety concerns. The overall clinical benefit of this strategy remains to be determined.

Highlights

  • Hyperglycaemia in hospitalised patients is associated with increased morbidity and mortality [1,2,3,4,5]

  • Incorporation of insulin resistance factors into a subcutaneous insulin algorithm achieved early and sustained glycaemic control in noncritically ill patients admitted to general medical wards without apparent safety concerns

  • We modelled the influence of our intervention on the primary endpoint in a multivariate linear regression model, adjusted for the predefined main predictors for insulin requirements

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Summary

Introduction

Hyperglycaemia in hospitalised patients is associated with increased morbidity and mortality [1,2,3,4,5]. A recent review and a meta-analysis indicate that intensive glycaemic control in noncritically ill hospitalised patients may reduce the risk of infection [12] These studies are limited, either focusing only on body mass index (BMI) to estimate insulin requirements, aiming at relatively high target glucose levels (5.6–10 mmol/l), or using a retrospective study design [8,9,10,11, 13]. The extent of insulin resistance is usually not known on admission, and insulin requirements may change rapidly during the course of hospitalisation For this reason, we aimed to evaluate the effectiveness and feasibility of an algorithm for adjustment of insulin doses to reach glycaemic targets in acutely ill patients on medical

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