Evidence map›Paper›PMID 22703645›Full record

ArticleAnnals of intensive care2012

Variability of insulin sensitivity during the first 4 days of critical illness: implications for tight glycemic control.

Christopher G Pretty, Aaron J Le Compte, J Geoffrey Chase, Geoffrey M Shaw, Jean-Charles Preiser, Sophie Penning, Thomas Desaive

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in Annals of intensive care, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04651842 (Impact of Acute Insulin Resistance on Myocardial Blush in Non- Diabetic Patients Undergoing Primary Percutaneous Coronary Intervention), which is not on this map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed
4.8field-weighted citation impact, top 4% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

NCT04651842 completednot on this mapstarted 2018, after this paper: background citation

Impact of Acute Insulin Resistance on Myocardial Blush in Non- Diabetic Patients Undergoing Primary Percutaneous Coronary Intervention

TypeobservationalSponsorAssiut UniversityRan2018 to 2019Enrolled240ConditionsInsulin Resistance and PCIArmsPCI
3 · Its place in the literature

Who cites it

29 citing papers in PubMed, 85 citations in OpenAlex.

  1. Trial
  2. Trial
  3. Article
  4. Article
  5. Article
  6. Estimating Increased EGP During Stress Response in Critically Ill Patients.Journal of diabetes science and technology · 2021
    Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Algorithm Maxima for Intravenous Insulin Infusion.Diabetes technology & therapeutics · 2020
    Article
  12. Review
  13. Review
  14. Article
  15. Article
  16. Article
  17. Hypoglycemia Reduction Strategies in the ICU.Current diabetes reports · 2017
    Review
  18. Article
  19. Traversing the valley of glycemic control despair.Critical care (London, England) · 2017
    Article
  20. Untangling glycaemia and mortality in critical care.Critical care (London, England) · 2017
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 4 institutions in 2 countries.

Christopher G PrettyDepartment of Mechanical Eng, Centre for Bio-Engineering, University of Canterbury, Private Bag 4800, Christchurch, 8054, New Zealand. geoff.chase@canterbury.ac.nz.
Aaron J Le Compte
J Geoffrey Chase
Geoffrey M Shaw
Jean-Charles Preiser
Sophie Penning
Thomas Desaive
University of Canterbury · NZUniversity of Liège · BEChristchurch Hospital · NZErasmus Hospital · BE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEffective tight glycemic control (TGC) can improve outcomes in critical care patients, but it is difficult to achieve consistently. Insulin sensitivity defines the metabolic balance between insulin concentration and insulin-mediated glucose disposal. Hence, variability of insulin sensitivity can cause variable glycemia. This study quantifies and compares the daily evolution of insulin sensitivity level and variability for critical care patients receiving TGC.

methodsThis is a retrospective analysis of data from the SPRINT TGC study involving patients admitted to a mixed medical-surgical ICU between August 2005 and May 2007. Only patients who commenced TGC within 12 hours of ICU admission and spent at least 24 hours on the SPRINT protocol were included (N = 164). Model-based insulin sensitivity (SI) was identified each hour. Absolute level and hour-to-hour percent changes in SI were assessed on cohort and per-patient bases. Levels and variability of SI were compared over time on 24-hour and 6-hour timescales for the first 4 days of ICU stay.

resultsCohort and per-patient median SI levels increased by 34% and 33% (p < 0.001) between days 1 and 2 of ICU stay. Concomitantly, cohort and per-patient SI variability decreased by 32% and 36% (p < 0.001). For 72% of the cohort, median SI on day 2 was higher than on day 1. The day 1-2 results are the only clear, statistically significant trends across both analyses. Analysis of the first 24 hours using 6-hour blocks of SI data showed that most of the improvement in insulin sensitivity level and variability seen between days 1 and 2 occurred during the first 12-18 hours of day 1.

conclusionsCritically ill patients have significantly lower and more variable insulin sensitivity on day 1 than later in their ICU stay and particularly during the first 12 hours. This rapid improvement is likely due to the decline of counter-regulatory hormones as the acute phase of critical illness progresses. Clinically, these results suggest that while using TGC protocols with patients during their first few days of ICU stay, extra care should be afforded. Increased measurement frequency, higher target glycemic bands, conservative insulin dosing, and modulation of carbohydrate nutrition should be considered to minimize safely the outcome glycemic variability and reduce the risk of hypoglycemia.

Identifiers

PMID22703645
PMCPMC3464183
OpenAlexW2097202487

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

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.