Evidence map›Paper›PMID 42935203›Full record

ArticleZhong nan da xue xue bao. Yi xue ban = Journal of Central South University. Medical sciences2026

Predictive value of glucose metabolism indices for short-term outcomes in critically ill patients with congestive heart failure.

Hua Zhong, Mai Feng, Ting Wu, Wanlu Zhou, Qianhui Luo, Ruizheng Shi

Abstract read
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Article in Zhong nan da xue xue bao. Yi xue ban = Journal of Central South University. Medical sciences, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Hua ZhongDepartment of Cardiovascular Medicine; National Clinical Research Center for Geriatric Diseases (Xiangya Hospital of Central South University), Changsha 410008. zhonghua960@163.com.
Mai FengHunan Key Laboratory of Animal Models for Human Diseases, School of Life Sciences, Central South University, Changsha 410078. fengmai@sklmg.edu.cn.
Ting WuDepartment of Cardiovascular Medicine; National Clinical Research Center for Geriatric Diseases (Xiangya Hospital of Central South University), Changsha 410008.
Wanlu ZhouDepartment of Cardiology, Third Xiangya Hospital, Central South University, Changsha 410013, China.
Qianhui LuoDepartment of Cardiovascular Medicine; National Clinical Research Center for Geriatric Diseases (Xiangya Hospital of Central South University), Changsha 410008.
Ruizheng ShiDepartment of Cardiovascular Medicine; National Clinical Research Center for Geriatric Diseases (Xiangya Hospital of Central South University), Changsha 410008. xyshiruizheng@csu.edu.cn.

Funding

the National Natural Science Foundation 82370422the Natural Science Foundation of Hunan Province 2025JJ30043
6 · The paper itself

Abstract

objectivesCongestive heart failure (CHF) is a major global public health problem, affecting approximately 64 million people worldwide, with a 5-year survival rate of less than 50%. The short-term risk of death is particularly high among patients admitted to the intensive care unit (ICU). Disturbances in glucose metabolism are an important pathophysiological feature of CHF, and effective glycemic monitoring is of considerable importance for prognostic assessment in critically ill patients with CHF. This study aims to evaluate the predictive value of 3 glucose metabolism-related indices, blood glucose level, stress hyperglycemia ratio (SHR), and hemoglobin glycation index (HGI), for the risk of 7-day mortality in critically ill patients with CHF.

methodsThis study was based on the MIMIC-IV database and included 851 critically ill patients with CHF who met the eligibility criteria between 2008 and 2019. The primary outcome was 7-day all-cause mortality, and the secondary outcome was 30-day all-cause mortality. Kaplan-Meier (K-M) survival curves with log-rank tests were used to assess the associations between each index and survival outcomes. Univariable and multivariable Cox proportional hazards regression models were used to calculate hazard ratios (

resultsA total of 851 critically ill patients with CHF were included, of whom 70 (8.226%) died from any cause within 7 days. Cox regression analysis showed that, when analyzed as a continuous variable, SHR was independently associated with 7-day all-cause mortality in the fully adjusted model (

conclusionsSHR is an independent predictor of short-term mortality risk in critically ill patients with CHF and has considerable potential for clinical application in risk stratification and prognostic assessment.

Indexed as

Blood GlucoseCritical IllnessHeart FailureAgedFemaleGlycated HemoglobinHumansHyperglycemiaIntensive Care UnitsMaleMiddle AgedPredictive Value of TestsPrognosisProportional Hazards ModelsBlood GlucoseGlycated Hemoglobinblood glucosecongestive heart failurecritical illnesshemoglobin glycation indexprognosisrisk stratificationshort-term mortalitystress hyperglycemia ratio

Identifiers

PMID42935203
PMCPMC13710902

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