Evidence map›Paper›PMID 40275310›Full record

Observational studyCardiovascular diabetology2025

Association of stress hyperglycemia ratio with short-term and long-term prognosis in patients undergoing coronary artery bypass grafting across different glucose metabolism states: a large-scale cohort study.

Zhongchen Li, Runze Chen, Zhiwei Zeng, Peng Wang, Chunyu Yu, Shuo Yuan, Xiaoting Su, Yan Zhao, Heng Zhang, Zhe Zheng

Abstract readComparative StudyObservational Study
In one paragraph

Observational study in Cardiovascular diabetology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
–field-weighted citation impact
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

14 citing papers in PubMed.

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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

10 authors.

Zhongchen Li *State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 167 Beilishi Rd, Xicheng District, Beijing, 100037, People's Republic of China.
Runze Chen *State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 167 Beilishi Rd, Xicheng District, Beijing, 100037, People's Republic of China.
Zhiwei Zeng *State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 167 Beilishi Rd, Xicheng District, Beijing, 100037, People's Republic of China.
Peng WangState Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 167 Beilishi Rd, Xicheng District, Beijing, 100037, People's Republic of China.
Chunyu YuState Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 167 Beilishi Rd, Xicheng District, Beijing, 100037, People's Republic of China.
Shuo YuanState Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 167 Beilishi Rd, Xicheng District, Beijing, 100037, People's Republic of China.
Xiaoting SuState Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 167 Beilishi Rd, Xicheng District, Beijing, 100037, People's Republic of China.
Yan ZhaoState Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 167 Beilishi Rd, Xicheng District, Beijing, 100037, People's Republic of China.
Heng ZhangState Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 167 Beilishi Rd, Xicheng District, Beijing, 100037, People's Republic of China. zhangheng@fuwai.com.
Zhe ZhengState Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 167 Beilishi Rd, Xicheng District, Beijing, 100037, People's Republic of China. zhengzhe@fuwai.com.

Funding

Chinese Academy of Medical Sciences Innovation Fund for Medical Sciences 2021-I2M-1-063he National Clinical Research Center for Cardiovascular Diseases, Fuwai Hospital, Chinese Academy of Medical Sciences NCRC2020004the high-level hospital clinical research of Fuwai Hospital, Chinese Academy of Medical Sciences 2023-GSP-RC-14; 2023-GSP-QN-27the Ministry of Science and Technology of People's Republic of China 2016YFC1302000the State Sponsored Postdoctoral Researcher Programme GZC20230304
6 · The paper itself

Abstract

backgroundStress hyperglycemia ratio (SHR) is recognized as a reliable indicator of acute hyperglycemia during stress. Patients undergoing coronary artery bypass grafting (CABG) are at high risk of stress hyperglycemia, but little attention has been paid to this population. This study is the first to investigate the association between SHR and both short-term and long-term prognosis in CABG patients, with a further exploration of the impact of SHR across different glucose metabolic states.

methodsA total of 18,307 patients undergoing isolated CABG were consecutively enrolled and categorized into three groups based on SHR tertiles. The perioperative outcome was defined as a composite of in-hospital death, myocardial infarction, cerebrovascular accident, and reoperation during hospitalization. The long-term outcome was major adverse cardiovascular and cerebrovascular events (MACCEs). Restricted cubic spline and logistic regression linked SHR to perioperative risks. Kaplan-Meier and Cox regression analyses were used to determine the relationship with long-term prognosis. Subgroup analyses were further conducted based on different glucose metabolic states.

resultsA U-shaped association was observed between SHR and perioperative outcome in the overall population (P for nonlinear < 0.001). As SHR increased, the risk of perioperative events initially decreased (OR per SD: 0.87, 95% CI 0.79-0.97, P = 0.013) and then elevated (OR per SD: 1.16, 95% CI 1.04-1.28, P =  0.004), with an inflection point at 0.79. A similar U-shaped pattern was identified in patients with normal glucose regulation. Among those with prediabetes, the association was J-shaped, while in patients with diabetes, the association became nonsignificant when SHR exceeded 0.76. Adding SHR to the existing risk model improved the predictive performance for perioperative outcomes in the overall population (AUC: 0.720 → 0.752, P < 0.001; NRI: 0.036, P =  0.003; IDI: 0.015, P < 0.001). For long-term outcomes, the risk of events was monotonically elevated with increasing SHR, regardless of glucose metabolic status. The third tertile showed a 10.7% greater risk of MACCEs (HR: 1.107, 95% CI 1.023-1.231, P =  0.024).

conclusionsSHR was significantly associated with prognosis in CABG patients, demonstrating a non-linear U-shaped relationship with short-term outcomes and a linear positive association with long-term outcomes. The in-hospital risk associated with SHR was attenuated in patients with diabetes. RESEARCH INSIGHTS: WHAT IS CURRENTLY KNOWN ABOUT THIS TOPIC?: Stress hyperglycemia is common during the perioperative period in CABG patients and is linked to adverse short- and long-term outcomes. The stress hyperglycemia ratio (SHR) is a novel metric that accounts for baseline glycemia to better reflect acute stress-induced hyperglycemia. However, SHR has not been studied in the CABG population. WHAT IS THE KEY RESEARCH QUESTION?: This study is the first to investigate the association between SHR and both short-term and long-term prognosis in patients undergoing CABG, while further exploring its impact across different glucose metabolic states, categorized as normal glucose regulation, prediabetes, and diabetes. WHAT IS NEW?: In CABG patients, SHR shows a U-shaped relationship with perioperative events and a linear positive association with long-term outcomes, both of which are modulated by glucose metabolic status. HOW MIGHT THIS STUDYINFLUENCE CLINICAL PRACTICE?: Findings support the incorporation of SHR for risk stratification and personalized glucose management in CABG patients, ultimately improving both in-hospital and long-term prognosis.

Indexed as

Blood GlucoseCoronary Artery BypassCoronary Artery DiseaseHyperglycemiaStress, PhysiologicalAgedBiomarkersFemaleHospital MortalityHumansMaleMiddle AgedPostoperative ComplicationsRetrospective StudiesRisk AssessmentRisk FactorsBiomarkersBlood GlucoseCoronary artery bypass graftingCoronary artery diseaseGlucose metabolic statesPrognosisStress hyperglycemia ratio

Identifiers

PMID40275310
PMCPMC12023429

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Registered trials

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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.