Evidence map›Paper›PMID 17623086›Full record

ArticleCritical care (London, England)2007

Tight glycaemic control: a prospective observational study of a computerised decision-supported intensive insulin therapy protocol.

Rob Shulman, Simon J Finney, Caoimhe O'Sullivan, Paul A Glynne, Russell Greene

Abstract read
In one paragraph

Article in Critical care (London, England), 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 2 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

23 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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  16. A benchmark data set for model-based glycemic control in critical care.Journal of diabetes science and technology · 2008
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  17. Model-based insulin sensitivity as a sepsis diagnostic in critical care.Journal of diabetes science and technology · 2008
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Rob ShulmanPharmacy Department, University College London Hospitals NHS Trust, 235 Euston Road, London, NW1 2BU, UK. robert.shulman@uclh.nhs.uk
Simon J Finney
Caoimhe O'Sullivan
Paul A Glynne
Russell Greene

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionA single centre has reported that implementation of an intensive insulin protocol, aiming for tight glycaemic control (blood glucose 4.4 to 6.1 mmol/l), resulted in significant reduction in mortality in longer stay medical and surgical critically ill patients. Our aim was to determine the degree to which tight glycaemic control can be maintained using an intensive insulin therapy protocol with computerized decision support and to identify factors that may be associated with the degree of control.

methodsAt a general adult 22-bed intensive care unit, we implemented an intensive insulin therapy protocol in mechanically ventilated patients, aiming for a target glucose range of 4.4 to 6.1 mmol/l. The protocol was integrated into the computerized information management system by way of a decision support program. The time spent in each predefined blood glucose band was estimated, assuming a linear trend between measurements.

resultsFifty consecutive patients were investigated, involving analysis of 7,209 blood glucose samples, over 9,214 hours. The target tight glycaemic control band (4.4 to 6.1 mmol/l) was achieved for a median of 23.1% of the time that patients were receiving intensive insulin therapy. Nearly half of the time (median 48.5%), blood glucose was within the band 6.2 to 7.99 mmol/l. Univariate analysis revealed that body mass index (BMI), Acute Physiology and Chronic Health Evaluation (APACHE) II score and previous diabetes each explained approximately 10% of the variability in tight glycaemic control. BMI and APACHE II score explained most (27%) of the variability in tight glycaemic control in the multivariate analysis, after adjusting for age and previous diabetes.

conclusionUse of the computerized decision supported intensive insulin therapy protocol did result in achievement of tight glycaemic control for a substantial percentage of each patient's stay, although it did deliver 'normoglycaemia' (4.4 to about 8 mmol/l) for nearly 75% of the time. Tight glycaemic control was difficult to achieve in critically ill patients using this protocol. More sophisticated methods such as continuous blood glucose monitoring with automated insulin and glucose infusion adjustment may be a more effective way to achieve tight glycaemic control. Glycaemia in patients with high BMI and APACHE II scores may be more difficult to control using intensive insulin therapy protocols. Trial registration number 05/Q0505/1.

Indexed as

Clinical ProtocolsDecision Support Systems, ClinicalAgedBlood GlucoseBody Mass IndexCritical CareDiabetes MellitusFemaleHumansHyperglycemiaHypoglycemiaInsulinMaleMiddle AgedMultivariate AnalysisProspective StudiesBlood GlucoseInsulin

Identifiers

PMID17623086
PMCPMC2206495

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.