Evidence map›Paper›PMID 19661802›Full record

ArticleCritical care medicine2009

Hyperglycemia-related mortality in critically ill patients varies with admission diagnosis.

Mercedes Falciglia, Ron W Freyberg, Peter L Almenoff, David A D'Alessio, Marta L Render

Abstract readMulticenter Study
In one paragraph

Article in Critical care medicine, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 239 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
239citing papers in PubMed, 6 pooled it
17.2field-weighted citation impact, top 1% 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.

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

239 citing papers in PubMed, 6 syntheses or guidelines pooled it, 573 citations in OpenAlex.

  1. [Hospital diabetes management (Update 2026)].Wiener klinische Wochenschrift · 2026
    Guideline
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  4. American Association of Clinical Endocrinology Clinical Practice Guideline: Developing a Diabetes Mellitus Comprehensive Care Plan-2022 Update.Endocrine practice : official journal of the American College of Endocrinology and the American Association of Clinical Endocrinologists · 2022
    Guideline
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  20. Diabetes Management Strategies in Intensive Care Settings.The Medical clinics of North America · 2026
    Review

179 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors at 1 institution in 1 country.

Mercedes FalcigliaDivisions of Endocrinology, Veterans Affairs Inpatient Evaluation Center, University of Cincinnati College of Medicine, Cincinnati, OH, USA.
Ron W Freyberg
Peter L Almenoff
David A D'Alessio
Marta L Render
University of Cincinnati Medical Center · US

Funding

The role of GLP-1 in normal and abnormal glucose toleranceR01DK057900 · NIDDK · UNIVERSITY OF CINCINNATI · PI D'ALESSIO, DAVID A. · 1999 to 2013
$3.4M
Hyperglycemia in Critically Ill Patients: Causes and ConsequencesK23DK074440 · NIDDK · UNIVERSITY OF CINCINNATI · PI FALCIGLIA, MERCEDES · 2006 to 2010
$664k
NIDDK NIH HHS DK K23 74440NIDDK NIH HHS DK R01 57900NIDDK NIH HHS K23 DK074440
6 · The paper itself

Abstract

objectivesHyperglycemia during critical illness is common and is associated with increased mortality. Intensive insulin therapy has improved outcomes in some, but not all, intervention trials. It is unclear whether the benefits of treatment differ among specific patient populations. The purpose of the study was to determine the association between hyperglycemia and risk- adjusted mortality in critically ill patients and in separate groups stratified by admission diagnosis. A secondary purpose was to determine whether mortality risk from hyperglycemia varies with intensive care unit type, length of stay, or diagnosed diabetes.

designRetrospective cohort study.

settingOne hundred seventy-three U.S. medical, surgical, and cardiac intensive care units. PATIENTS: Two hundred fifty-nine thousand and forty admissions from October 2002 to September 2005; unadjusted mortality rate, 11.2%.

interventionsNone. MEASUREMENTS AND MAIN

resultsA two-level logistic regression model determined the relationship between glycemia and mortality. Age, diagnosis, comorbidities, and laboratory variables were used to calculate a predicted mortality rate, which was then analyzed with mean glucose to determine the association of hyperglycemia with hospital mortality. Hyperglycemia was associated with increased mortality independent of illness severity. Compared with normoglycemic individuals (70-110 mg/dL), adjusted odds of mortality (odds ratio, [95% confidence interval]) for mean glucose 111-145, 146-199, 200-300, and >300 mg/dL was 1.31 (1.26-1.36), 1.82 (1.74-1.90), 2.13 (2.03-2.25), and 2.85 (2.58-3.14), respectively. Furthermore, the adjusted odds of mortality related to hyperglycemia varied with admission diagnosis, demonstrating a clear association in some patients (acute myocardial infarction, arrhythmia, unstable angina, pulmonary embolism) and little or no association in others. Hyperglycemia was associated with increased mortality independent of intensive care unit type, length of stay, and diabetes.

conclusionsThe association between hyperglycemia and mortality implicates hyperglycemia as a potentially harmful and correctable abnormality in critically ill patients. The finding that hyperglycemia-related risk varied with admission diagnosis suggests differences in the interaction between specific medical conditions and injury from hyperglycemia. The design and interpretation of future trials should consider the primary disease states of patients and the balance of medical conditions in the intensive care unit studied.

Indexed as

AdultAgedCohort StudiesCritical IllnessFemaleHumansHyperglycemiaMaleMiddle AgedPatient AdmissionRetrospective StudiesRisk Factors

Identifiers

PMID19661802
PMCPMC2905804
OpenAlexW2025416505

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.