Evidence map›Paper›PMID 39865270›Full record

ArticleEuropean journal of medical research2025

Stress hyperglycemia ratio as an important predictive indicator for severe disturbance of consciousness and all-cause mortality in critically ill patients with cerebral infarction: a retrospective study using the MIMIC-IV database.

Xiaosheng Li, Li Guo, Yuzhen Zhou, Churan Yuan, Yong Yin

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Article in European journal of medical research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

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7citing papers in PubMed
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7 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Xiaosheng LiDepartment of Rehabilitation Medicine, The Affiliated Hospital of Yunnan University, No. 176 Qingnian Road, Wuhua District, Kunming, Yunnan, China.
Li GuoDepartment of Rehabilitation Medicine, The Affiliated Hospital of Yunnan University, No. 176 Qingnian Road, Wuhua District, Kunming, Yunnan, China.
Yuzhen ZhouDepartment of Rehabilitation Medicine, The Affiliated Hospital of Yunnan University, No. 176 Qingnian Road, Wuhua District, Kunming, Yunnan, China.
Churan YuanDepartment of Rehabilitation Medicine, The Affiliated Hospital of Yunnan University, No. 176 Qingnian Road, Wuhua District, Kunming, Yunnan, China.
Yong YinDepartment of Rehabilitation Medicine, The Affiliated Hospital of Yunnan University, No. 176 Qingnian Road, Wuhua District, Kunming, Yunnan, China. yyinpmr@126.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundStress hyperglycemia ratio (SHR) has been linked to prognosis of cerebrovascular diseases. Nevertheless, the association between SHR and severe disturbance of consciousness (DC) and mortality among patients with cerebral infarction remains explored. This study seeks to assess the predictive potential of SHR for severe DC and mortality among patients with cerebral infarction.

methodsWe identified individuals diagnosed with cerebral infarction within the MIMIC-IV database. We employed logistic regression to examine the correlation between the SHR index and the severity of patients' consciousness disturbance, as well as in-hospital mortality. Furthermore, we employed restricted cubic spline curves to explore potential non-linear relationships between the SHR index and outcome measures. To assess the predictive performance of the SHR index and admission blood sugar level on outcome indicators, we compared receiver operating characteristic (ROC) curves.

resultsA non-linear relationship existed between SHR and the risk of severe disturbance of consciousness, while there was a linear relationship with all-cause mortality. The AUC value for predicting severe disturbance of consciousness by the SHR index is 0.5419 (95% CI: 0.5188-0.5661). The AUC value for predicting in-hospital mortality based on the SHR index is 0.6264 (95% CI: 0.5881-0.6662). It is superior to single admission blood sugar level. In addition, SHR has an incremental impact on evaluating various diseases in predicting severe disturbance of consciousness and all-cause mortality in critically ill patients with cerebral infarction.

conclusionsSHR is an important predictive indicator for severe disturbance of consciousness and all-cause mortality of patients with cerebral infarction.

Indexed as

Cerebral InfarctionConsciousness DisordersHyperglycemiaAgedCritical IllnessDatabases, FactualFemaleHospital MortalityHumansMaleMiddle AgedPrognosisRetrospective StudiesROC CurveAll-cause mortalityMIMIC-IVSevere disturbance of consciousnessStress hyperglycemia ratio (SHR)Stroke

Identifiers

PMID39865270
PMCPMC11771033

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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.