Evidence map›Paper›PMID 40343929›Full record

ArticlePloS one2025

Association between stress hyperglycemia ratio and poor outcomes in Trauma surgery ICU patients.

Heshan Cao, Junying Wei, Wuhua Ma, Yuhui Li

Abstract read
In one paragraph

Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–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

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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

2 citing papers in PubMed.

  1. Article
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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

4 authors.

Heshan CaoDepartment of Biobank and Bioinformatics, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China.
Junying WeiFirst Clinical Medical College, Guangzhou University of Chinese Medicine, Guangzhou, China.
Wuhua MaDepartment of Anaesthesiology, The First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China.
Yuhui LiDepartment of Anaesthesiology, The First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China.ORCID https://orcid.org/0000-0001-5235-6090

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPatients in the Trauma Surgery Intensive Care Unit (TSICU) often experience severe stress responses, which may lead to the occurrence of stress hyperglycemia. The stress hyperglycemia ratio (SHR), a biomarker quantifying the relative severity of stress hyperglycemia, has garnered increasing attention. This study aims to investigate the association between SHR and poor outcomes in TSICU patients.

methodsA retrospective cohort study was conducted based on the Medical Information Mart for Intensive Care IV database. Patients in the TSICU were stratified into tertiles based on SHR values. The primary outcomes were 30-day and 365-day all-cause mortality, and the secondary outcome was hospital mortality. Kaplan-Meier survival analysis, logistic regression, Cox proportional hazards models, and restricted cubic spline analysis were employed to examine the relationship between SHR and poor outcomes. The potential incremental value of incorporating SHR into traditional disease severity scoring systems was also explored.

resultsA total of 569 eligible TSICU patients were included. The 30-day and 365-day all-cause mortality rates were 20.7% (118 patients) and 32.5% (185 patients), respectively. Higher SHR was associated with significantly increased risks of 30-day, 365-day, and hospital mortality (HR/OR > 1, P < 0.05). Restricted cubic spline analysis demonstrated no significant non-linear relationship between SHR and mortality risk (P > 0.05). Furthermore, SHR provided incremental prognostic value when integrated into traditional disease severity scoring systems.

conclusionHigh SHR is significantly associated with increased all-cause mortality in TSICU patients, particularly among non-diabetic individuals. As a prognostic marker, SHR shows potential clinical utility for early risk stratification and management optimization.

Indexed as

HyperglycemiaIntensive Care UnitsStress, PhysiologicalWounds and InjuriesAcute Care SurgeryAdultAgedBiomarkersFemaleHospital MortalityHumansKaplan-Meier EstimateMaleMiddle AgedRetrospective StudiesBiomarkers

Identifiers

PMID40343929
PMCPMC12063898

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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.