The Impact of the Stress Hyperglycemia Ratio on Short-term and Long-term Poor Prognosis in Patients With Acute Coronary Syndrome: Insight From a Large Cohort Study in Asia

Stress hyperglycemia ratio as an independent predictor of acute kidney injury in critically ill patients with acute myocardial infarction: a retrospective U.S. cohort study

BACKGROUND

Acute kidney injury (AKI) is a frequent and severe complication in critically ill patients with acute myocardial infarction (AMI), significantly worsening prognosis. Identifying early risk markers for AKI in AMI patients is critical for timely intervention. The stress hyperglycemia ratio (SHR), a marker of acute glycemic response to physiological stress, has been proposed as a predictor of AKI, but its role remains unclear.

OBJECTIVE

This study investigates the association between SHR and AKI development in critically ill patients with AMI, using data from the MIMIC-III and MIMIC-IV databases.

METHODS

A total of 4,663 critically ill AMI patients were analyzed. SHR was evaluated for its association with AKI incidence using logistic regression, restricted cubic splines, and mediation analysis. Subgroup and sensitivity analyses were performed to confirm robustness. Additionally, Cox regression and Kaplan-Meier survival analysis were used to explore SHR's association with in-hospital mortality in the overall cohort and AKI subgroup.

RESULTS

Higher SHR levels were independently associated with an increased risk of AKI, demonstrating a J-shaped relationship. Mediation analysis revealed that neutrophil count and albumin partially mediated this effect. Kaplan-Meier survival curves showed significant differences in in-hospital mortality among SHR quartiles (log-rank p < 0.001). However, Cox regression analysis indicated that SHR was not an independent predictor of in-hospital mortality in either the full cohort or the AKI subgroup.

CONCLUSIONS

SHR serves as an early and independent marker for AKI risk in critically ill AMI patients, offering potential utility in clinical risk stratification. However, its role in predicting in-hospital mortality appears limited. These findings underscore the importance of glycemic monitoring and management in AMI patients at risk of AKI.

Stress hyperglycemia ratio as a mortality predictor in non-diabetic septic patients: a retrospective cohort analysis

BACKGROUND

The stress hyperglycemia ratio (SHR) is associated with adverse events in critically ill patients. However, the relationship between SHR and mortality in non-diabetic septic patients remains unclear. This study aimed to investigate the correlation between SHR and mortality in non-diabetic septic patients.

METHODS

This retrospective cohort study utilized data from the Medical Information Mart for Intensive Care (MIMIC-IV) database at Beth Israel Deaconess Medical Center in Boston. The study population was stratified into four groups based on quartiles of the SHR. The primary outcome was in-hospital mortality, while the secondary outcome was ICU mortality. Kaplan-Meier curves, the Log-rank test, and Cox regression analysis were employed to assess the association between SHR and all-cause mortality. Restricted cubic splines (RCS) regression analysis was conducted to explore the nonlinear relationship between SHR and outcomes. Additionally, subgroup analyses were performed to investigate differences among various patient subgroups.

RESULTS

This study included a cohort of 1,200 patients, with a median age of 68.44 years, and 43.42% were female. The in-hospital mortality and Intensive Care Unit (ICU) mortality rates were 19.67% and 15.42%, respectively. Cox regression analysis revealed that an elevated SHR was independently associated with both in-hospital mortality (Hazard Ratio [HR], 1.50; 95% Confidence Interval [CI], 1.05-2.13; P = 0.02) and ICU mortality (HR, 1.53; 95% CI, 1.04-2.24; P = 0.03). Furthermore, the relationship between SHR and mortality exhibited a U-shaped pattern, indicating that an increase in SHR correlates with an elevated risk of adverse events. The results of subgroup analyses were generally consistent with these findings.

CONCLUSIONS

In non-diabetic critically ill septic patients, SHR is significantly associated with an increased risk of adverse events. Consequently, SHR emerges as a potential predictor of poor outcomes in non-diabetic septic patients admitted to the ICU.

Stress hyperglycemia ratio linked to all-cause mortality in critically ill patients with ischemic heart disease

BACKGROUND

The stress hyperglycaemia ratio (SHR), a quantitative indicator of hyperglycaemia in stress, has been shown to correlate with poor disease prognosis. However, the relationship between SHR and short-term prognosis in critically ill patients with ischemic heart disease (IHD) remains unclear.

METHODS

This retrospective study analyzed data of 2559 critically ill patients with IHD from the Medical Information Mart for Intensive Care III database. Endpoints were in-hospital mortality and intensive care unit (ICU) mortality. Kaplan-Meier survival curves, Cox proportional hazards models, restricted cubic spline, subgroup analysis, and receiver operating characteristic curves were used to explore the association between SHR and mortality in critically ill patients with IHD.

RESULTS

A total of 99 (3.87%) in-hospital deaths and 62 (2.42%) ICU deaths were recorded. In multivariate Cox proportional hazards models, higher SHR was independently associated with in-hospital mortality (hazard ratio (HR): 1.93 [95% confidence interval (CI): 1.42-2.61], P-value < 0.0001) and ICU mortality (HR, 1.70; 95% CI, 1.17-2.47; P-value = 0.01). Restricted cubic splines showed that SHR was linearly positive correlated with both in-hospital mortality and ICU mortality. Subgroup analysis revealed the robustness of the results. The area under the curve of SHR for predicting in-hospital mortality and ICU mortality was 0.715 and 0.711, respectively.

CONCLUSION

SHR was significantly positively correlated with in-hospital mortality and ICU mortality in patients with critical IHD. It might enhance the predictive accuracy of existing clinical disease scores and guide personalized blood glucose control.

Prognostic value of glycemic gap in ST-segment elevation myocardial infarction-associated acute kidney injury

BACKGROUND

Stress-induced hyperglycemia (SIH) is a common phenomenon in acute myocardial infarction and is associated with poor prognosis. The relationship between glycemic gap (GG), a marker of SIH, and ST-segment elevation myocardial infarction (STEMI)-associated acute kidney injury (STAAKI) remains unclear. This study aims to explore the predictive value of GG for the risk of STAAKI after percutaneous coronary intervention (PCI) in STEMI patients.

METHODS

This study retrospectively selected patients diagnosed with STEMI who underwent primary PCI. Logistic regression analysis was used to identify the risk factors associated with STAAKI. To examine the dose-response relationship between GG and STAAKI, restricted cubic splines (RCS) were employed. The predictive accuracy of the models was assessed using Delong test, net reclassification index (NRI) and integrated discrimination improvement (IDI).

RESULTS

This study included 595 patients, the incidence of STAAKI was 9.2%. Multivariate logistic regression showed LVEF (OR per 1% increase = 0.931, 95% CI: 0.895 ~ 0.969), NT-proBNP (OR per 1 pg/mL increase = 1.579, 95% CI: 1.212 ~ 2.057), and GG (OR per 1 mmol/L increase = 1.379, 95% CI: 1.223 ~ 1.554) as independent predictors of STAAKI. RCS analysis indicated a linear dose-response relationship between GG and STAAKI. After integrating GG, the new model could significantly improve the risk model for STAAKI (Z = 2.77, NRI = 0.780, and IDI = 0.095; All P < 0.05).

CONCLUSION

GG is an independent risk factor for the occurrence of STAAKI after PCI in STEMI patients, and integrating GG can significantly improve risk modeling regarding STAAKI.

CLINICAL TRIAL NUMBER

Not applicable.

Association between hemoglobin glycation index and myocardial infarction in critically ill patients with diabetes mellitus: a retrospective study based on MIMIC-IV

BACKGROUND

The hemoglobin glycation index (HGI), which quantifies the difference between observed and predicted hemoglobin A1c (HbA1c) levels, has been linked to adverse outcomes. However, its relationship with myocardial infarction (MI) in patients with diabetes mellitus (DM) remains unexplored. This study aimed to investigate the association between HGI and MI incidence in critically ill patients with diabetes mellitus (DM) using data from the MIMIC-IV database.

METHODS

Linear regression analysis of HbA1c and fasting blood glucose levels was conducted to calculate HGI. Subsequently, differences in MI incidence across HGI quartiles were assessed using the Kaplan-Meier survival analysis, with the log-rank test applied. Cox proportional hazards models and restricted cubic spline (RCS) analyses were conducted to estimate hazard ratios (HRs) for MI risk across HGI quartiles, with Q1 as the reference.

RESULTS

A total of 8,055 DM patients with an initial ICU admission exceeding 24 h were included, with 21.5% of them presenting MI. Compared to HGI Q1 (-3.81, -1.236), the risk of MI increased by 1.26 times in Q2 (HR: 1.26, 95% confidence interval [CI]: 1.10-1.45), 1.48 times in Q3 (HR: 1.48, 95% CI: 1.29-1.69), and 1.39 times in Q4 (HR: 1.39, 95% CI: 1.21-1.60). RCS analysis showed a nonlinear positive association between HGI and outcome events that remained consistent across different subgroups as the stratified analysis suggested.

CONCLUSION

A significant correlation was revealed between HGI and the risk of MI in patients with DM, especially among those with elevated HGI levels, suggesting that HGI may serve as a potential biomarker for assessing MI risk in this population.

Correlation between stress hyperglycemia ratio and prognosis in acute myocardial infarction patients following percutaneous coronary intervention

Background

Stress hyperglycemia ratio (SHR) is a commonly used predictor of acute hyperglycemia. The present study aimed to evaluate the prognostic significance of SHR in acute myocardial infarction (AMI) patients who underwent percutaneous coronary intervention (PCI).

Methods

A total of 3,212 consecutive AMI patients who underwent PCI were recruited and assigned to three groups, according to SHR tertiles. Then, the total number of major adverse cardiovascular and cerebrovascular events (MACCEs) and various cardiovascular events were recorded. The SHR was determined, as follows: admission blood glucose (mmol/L)/[1.59 × hemoglobin A1c (%) -2.59].

Results

The incidence of MACCEs was positively correlated to SHR during the median follow-up of 36 months. The multivariate COX regression analysis identified SHR as an independent predictor of composite MACCEs [hazard ratio: 2.279, 95% confidence interval (CI): 1.569-3.311, p < 0.001] and target vessel revascularization (hazard ratio: 1.998, 95% CI: 1.299-3.074, p = 0.002). In terms of gender, age, type of AMI, body mass index, left ventricular ejection fraction, and diabetes mellitus, SHR >1.45 was significantly associated to MACCEs across all subgroups (all, p < 0.001), except for patients with ejection fraction <50%. Furthermore, the area under the receiver operating characteristic curve for SHR in predicting MACCEs was 0.636 (95% CI: 0.613-0.659, p < 0.05), with a cut-off value of 1.317.

Conclusions

Stress hyperglycemia, as indicated by SHR, is significantly correlated to MACCEs, and independently predicts the prognosis of AMI patients undergoing PCI. These findings highlight the potential of SHR as an effective prognostic marker for AMI patients undergoing PCI.

Combined assessment of stress hyperglycemia ratio and glycemic variability to predict all-cause mortality in critically ill patients with atherosclerotic cardiovascular diseases across different glucose metabolic states: an observational cohort study with machine learning

BACKGROUND

Stress hyperglycemia ratio (SHR) and glycemic variability (GV) reflect acute glucose elevation and fluctuations, which correlate with adverse outcomes in patients with atherosclerotic cardiovascular disease (ASCVD). However, the prognostic significance of combined SHR-GV evaluation for ASCVD mortality remains unclear. This study examines associations of SHR, GV, and their synergistic effects with mortality in patients with ASCVD across different glucose metabolic states, incorporating machine learning (ML) to identify critical risk factors influencing mortality.

METHODS

Patients with ASCVD were screened in the Medical Information Mart for Intensive Care IV (MIMIC-IV) database and stratified into normal glucose regulation (NGR), pre-diabetes mellitus (Pre-DM), and diabetes mellitus (DM) groups based on glucose metabolic status. The primary endpoint was 28-day mortality, with 90-day mortality as the secondary outcome. SHR and GV levels were categorized into tertiles. Associations with mortality were analyzed using Kaplan-Meier(KM) curves, Cox proportional hazards models, restricted cubic splines (RCS), receiver operating characteristic (ROC) curves, landmark analyses, and subgroup analyses. Five ML algorithms were employed for mortality risk prediction, with SHapley Additive exPlanations (SHAP) applied to identify critical predictors.

RESULTS

A total of 2807 patients were included, with a median age of 71 years, and 58.78% were male. Overall, 483 (23.14%) and 608 (29.13%) patients died within 28 and 90 days of ICU admission, respectively. In NGR and Pre-DM subgroups, combined SHR-GV assessment demonstrated superior predictive performance for 28-day mortality versus SHR alone [NGR: AUC 0.688 (0.636-0.739) vs. 0.623 (0.568-0.679), P = 0.028; Pre-DM: 0.712 (0.659-0.764) vs. 0.639 (0.582-0.696), P = 0.102] and GV alone [NGR: 0.688 vs. 0.578 (0.524-0.633), P < 0.001; Pre-DM: 0.712 vs. 0.593 (0.524-0.652), P < 0.001]. Consistent findings were observed for 90-day mortality prediction. However, in the DM subgroup, combined assessment improved prediction only for 90-day mortality vs. SHR alone [AUC 0.578 (0.541-0.616) vs. 0.560 (0.520-0.599), P = 0.027], without significant advantages in other comparisons.

CONCLUSIONS

Combined SHR and GV assessment serves as a critical prognostic tool for ASCVD mortality, providing enhanced predictive accuracy compared to individual metrics, particularly in NGR and Pre-DM patients. This integrated approach could inform personalized glycemic management strategies, potentially improving clinical outcomes.

Impact of Stress Hyperglycemia Ratio on Long-term Clinical Outcomes in Patients Undergoing Coronary Artery Bypass Grafting

Stress Hyperglycemia Ratio (SHR) has been established as significantly associated with adverse cardiovascular clinical outcomes. However, the correlation between SHR and long-term major adverse cardiovascular events (MACEs) in patients undergoing coronary artery bypass grafting (CABG) has not been reported. The present retrospective study enrolled 2412 patients with Coronary Artery Disease (CAD) post-CABG from April 2011 to December 2020 at the Second Xiangya Hospital of Central South University. Multivariable-adjusted Cox proportional hazard models and restricted cubic spline analysis were utilized to investigate the relationship between the SHR and MACEs and their subtypes. Furthermore, the incremental predictive value of the SHR was evaluated. Over a median follow-up period of 4.4 years, 619 patients (25.6%) experienced MACEs. Multivariable analysis identified SHR as an independent risk factor for the occurrence of MACEs and individual events. Restricted cubic spline analysis demonstrated a connection between SHR and the occurrence of MACEs and individual events. Receiver Operating Characteristic (ROC) analysis revealed that the predictive ability of SHR for MACEs and subtypes was consistent in patients with and without diabetes. Incorporating SHR into a traditional risk model for MACEs enhanced the C-statistics, net reclassification improvement value, and integrated discrimination improvement value.

Relationship between stress hyperglycaemic ratio (SHR) and critical illness: a systematic review

Stress-induced hyperglycemia (SIH) is a physiological response to acute or chronic stress characterized by elevated blood glucose levels. It is prevalent in both patients with and without diabetes, particularly those with acute or critical illnesses. The development of SIH is characterized by complex interactions among catecholamines, cortisol, and inflammatory mediators such as cytokines, resulting in increased hepatic glucose production and insulin resistance. While mild to moderate SIH may provide a protective mechanism during stress, prolonged or excessive hyperglycemia can exacerbate inflammation and oxidative stress, contributing to adverse outcomes in conditions such as acute myocardial infarction, heart failure, and cerebrovascular diseases. The stress-hyperglycemia ratio (SHR), defined as the ratio of admission glucose to estimated mean glucose (derived from glycated hemoglobin [HbA1c]), has emerged as a valuable tool for quantifying stress hyperglycemia. Unlike absolute glucose levels, the SHR accounts for background hyperglycemia and provides a more accurate indicator of the relative glucose elevation associated with critical illness. Extensive research has demonstrated a U-shaped or J-shaped relationship of the SHR with disease outcomes, indicating that both low and high SHRs are associated with increased mortality and morbidity. The SHR has shown significant predictive value in cardiovascular diseases (e.g., acute coronary syndrome, heart failure), cerebrovascular diseases (e.g., acute ischemic stroke, intracerebral hemorrhage), and infectious diseases (e.g., sepsis, pneumonia). It also plays a role in other conditions, such as acute pancreatitis and certain cancers. The ease of calculating the SHR from widely available admission glucose and HbA1c tests makes it a practical and valuable prognostic marker in clinical settings. This review examines the relationship between the SHR and critical illnesses, highlighting its mechanisms and predictive value across various diseases.

The association between stress hyperglycemia ratio and nonalcoholic fatty liver disease among U.S. adults: A population-based study

BACKGROUND AND AIM

The stress hyperglycemia ratio (SHR) offers a more nuanced understanding of glucose metabolism by factoring in the background glycemia through the component of Hemoglobin A1c. The association of SHR with cardiovascular and cerebrovascular diseases has been established, but the relationship between SHR and the risk of nonalcoholic fatty liver disease (NAFLD) remains unexplored. This study aimed to elucidate the relationship between the two among U.S. adults with diabetes or prediabetes.

METHODS AND RESULTS

A total of 1409 participants diagnosed with diabetes or prediabetes from the National Health and Nutrition Examination Survey (NHANES) 2017-2020 were included in this study. Multiple logistic regression models (ranging from unadjusted to fully adjusted), restricted cubic splines, and subgroup analyses were employed to determine the relationship between SHR and NAFLD risk and to assess the stability of this relationship across different populations. The average age of all participants was 54.65 years, with males accounting for 47.91 %, and the prevalence of NAFLD being 68.77 %. A fully adjusted logistic regression model indicated a positive association between SHR levels and the risk of NAFLD. Specifically, for each one standard deviation increase in SHR, the risk of NAFLD increased by 20 % (OR, 1.2; 95 % CI, 1.0-1.4). Both the trend test and the restricted cubic splines suggested a linear relationship between the two variables (p for trend <0.05, p for nonlinear = 0.390). Subgroup analysis demonstrated that this positive association remained consistent across most subgroups.

CONCLUSIONS

SHR was identified as a valuable index for predicting the risk of NAFLD among U.S. adults with diabetes or prediabetes.

Cardiomyocyte-specific NHE1 overexpression confers protection against myocardial infarction during hyperglycemia

BACKGROUND

Acute hyperglycemia on admission is frequently observed during the early phase after acute myocardial infarction (MI), even without the history of diabetes mellitus. We previously reported that inhibiting Na+/H+ exchanger 1 (NHE1) activity post-MI may improve outcomes, but not in the setting of MI with acute hyperglycemia. However, the precise role of NHE1 in the pathophysiology of MI with acute hyperglycemia remains to be elucidated, and there are no effective strategies for its prevention or treatment.

METHODS AND RESULTS

We analyzed 85 post-MI patients, identifying acute hyperglycemia (glucose > 7 mM) in non-diabetic individuals, linked to elevated BNP, CK-MB, and reduced plasma Na+. Using retrospective cohort studies and MI with acute hyperglycemia mouse models, we demonstrated that hyperglycemia exacerbates myocardial injury by reducing extracellular Na+, increasing intracellular Na+, and elevating pH, suggesting NHE1 activation as inferred from the observed intracellular pH (pHi) shift. Cardiomyocyte-specific NHE1 ablation or pharmacological inhibition worsened cardiac dysfunction and fibrosis in MI with acute hyperglycemia, while NHE1 overexpression conferred protection. RNA sequencing and drug screening identified accelerated NHE1 activation via 3% NaCl and lithospermic acid (LA) as a novel strategy to mitigate cardiomyocyte necroptosis, alleviating ischemic injury in MI and ischemia reperfusion models. Hypoxia-hyperglycemia and necroptosis induction models in NHE1-knockout, NHE1-overexpressing, and MLKL-overexpressing cardiomyocytes revealed that NHE1 activation, unlike its protective role in oxygen-glucose deprivation, promotes MLKL degradation via autophagosome-lysosomal pathways, reducing cardiomyocyte death. MLKL knockout and MLKL-NHE1 double knockout mice confirmed that MLKL ablation counteracts NHE1 inhibition's detrimental effects.

CONCLUSIONS

Activation of myocardial NHE1 promotes MLKL autophagic degradation, mitigating cardiomyocyte necroptosis and acute hyperglycemia-exacerbated MI, highlighting NHE1 as a hyperglycemia-dependent cardioprotective target. Moderate NHE1 activation may represent a novel therapeutic strategy for MI with acute hyperglycemia.

Relationship Between Stress Hyperglycemia Ratio and In-Stent Restenosis in Patients Receiving Drug-Eluting Stents

Aims/Background In-stent restenosis (ISR) is a major cause of long-term failure in coronary revascularization among patients undergoing percutaneous coronary intervention (PCI). Emerging evidence suggests that the stress hyperglycemia ratio (SHR) is a novel biomarker with potential predictive value for cardiovascular diseases. This study aimed to investigate the relationship between SHR and ISR in patients treated with drug-eluting stents (DES). Methods This retrospective study included 410 patients who underwent DES implantation at the Cardiology Department of Yixing People's Hospital between January 2015 and December 2022. All participants underwent coronary angiography (CAG) to evaluate the incidence of ISR and were categorized into two groups based on CAG results: non-ISR (n = 346) and ISR (n = 64). Laboratory parameters were evaluated prior to CAG for all participants. A restricted cubic spline (RCS) analysis was performed to evaluate the potential nonlinear associations between SHR and ISR. Multivariate logistic regression was used to identify independent risk factors for ISR, while the predictive value of SHR for ISR was assessed using receiver operating characteristic (ROC) analysis. Results RCS analysis revealed a nonlinear, J-shaped relationship between SHR and ISR (p < 0.05). Multivariate logistic regression identified SHR as an independent risk factor of ISR (odds ratio (OR) = 32.05, 95% confidence interval (CI): 6.827-150.450, p < 0.05). ROC analysis revealed that SHR had a high predictive value for ISR, with an area under the curve (AUC) of 0.81 (95% CI: 0.74-0.87, p < 0.001). The optimal SHR cutoff value was 0.87, with a sensitivity of 79.69% and a specificity of 73.41%. Conclusion Our findings identified a significant association between SHR and the risk of ISR in patients with coronary heart disease (CHD) undergoing PCI with DES implantation. SHR may serve as a valuable biomarker for predicting ISR, enabling improved risk stratification and patient management.

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

BACKGROUND

Stress 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.

METHODS

A 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.

RESULTS

A 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).

CONCLUSIONS

SHR 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.

The association between stress hyperglycemia ratio and 1-year outcomes in patients with acute myocardial infarction: a retrospective large sample cohort study

Background

The Stress Hyperglycemia Ratio (SHR) is associated with poor outcomes in coronary artery disease patients, but its link to Acute Myocardial Infarction (AMI) prognosis is unclear. This study explores the relationship between SHR and 1-year outcomes after AMI using a large cohort analysis.

Methods

This retrospective study enrolled 4012 AMI patients from General Hospital of Ningxia Medical University(2016-2019). These patients were stratified into three distinct groups according to the tertiles of the SHR: Group T1 (SHR < 0.90, n=1337), Group T2 (0.90 ≤ SHR < 1.11, n=1337), and Group T3 (SHR ≥ 1.11, n=1338). All patients were clinically followed for 1-years to collect major adverse cardiovascular and cerebrovascular events (MACCE). After controlling for different confounding factors, cox regression models and restricted quadratic splines were used to investigate the relationship between SHR and 1-years clinical outcomes.

Results

During the 1-year follow-up, 229 all-cause deaths were recorded, yielding a mortality rate of 5.71% (n=229). Additionally, 861 MACCE were recorded, yielding a MACCE rate of 21.46%. After adjusting for covariates, SHR was found to be significantly associated with 1-year MACCE [hazard ratio (HR) = 2.18; 95% confidence interval (CI) = 1.64-2.89; P < 0.001] and all-cause mortality (HR = 3.11; 95% CI = 1.77-5.46; P < 0.001) in patients with AMI, and the T3 group exhibited a higher risk of 1-year MACCE (HR = 1.67; 95% CI = 1.34-2.09; P < 0.001) and all-cause mortality (HR = 1.67; 95% CI = 1.02-2.73; P =0.042) compared with T1 group. A J-shaped relationship was observed between SHR and 1-year MACCE as well as all-cause mortality, showing a turning point at 0.87. Beyond this threshold, the hazard ratio for 1-year MACCE was 2.64 (95% CI: 1.91-3.65), and for all-cause mortality was 4.26 (95%: CI 2.30-7.86). The results remained consistent across subgroup.

Conclusion

SHR is significantly and positively associated with one-year clinical outcomes in patients with AMI. Furthermore, there is a specific non-linear association between SHR and MACCE and all-cause mortality (both inflection point 0.87). Interventions aimed at reducing SHR levels below 0.87 through medication management have the potential to significantly improve outcomes.

Association between stress hyperglycemia ratio and acute kidney injury development in patients with sepsis: a retrospective study

Background

Stress hyperglycemia ratio (SHR), which adjusts blood glucose levels using glycated hemoglobin to eliminate the influence of chronic hyperglycemia, has been demonstrated to have superior predictive value than absolute hyperglycemia. However, its predictive value for sepsis-associated acute kidney injury (SA-AKI) remains unclear. This study aimed to investigate the relationship between the SHR and the risk of developing SA-AKI.

Methods

Data were extracted from the Medical Information Mart for Intensive Care IV (MIMIC-IV) database. Restricted cubic splines (RCS) were employed to depict the relationship between SHR and the likelihood of SA-AKI, determining an optimal cut-off value. Based on this threshold, patients were categorized into two groups. Logistic regression was utilized to evaluate SHR's predictive value for SA-AKI, with adjustments for confounding variables. Propensity score matching (PSM) was applied to balance baseline characteristics. Subgroup and sensitivity analyses were conducted.

Results

A total of 2,249 patients were included. The RCS curve indicated a non-linear positive association between SHR and the likelihood of SA-AKI (P for non-linearity < 0.001), with an optimal cut-off at 1.55. Accordingly, patients were divided into SHR ≤ 1.55 and SHR > 1.55 subgroups, comprising 1,131 and 1,118 individuals, respectively. A higher incidence of SA-AKI was observed in the SHR > 1.55 group (38.64% vs. 27.23%, P < 0.001). This association persisted after baseline adjustment through PSM. Logistic regression analysis confirmed that SHR > 1.55 was linked to increased odds of SA-AKI in both unadjusted (OR: 1.68, P < 0.001) and adjusted models (OR: 1.73, P < 0.001), with SHR ≤ 1.55 serving as the reference. In subgroup analysis, all subgroups consistently demonstrated a significant association between SHR > 1.55 and elevated odds of SA-AKI (all OR > 1). Sensitivity analysis validated that SHR > 1.55 remained significantly correlated with SA-AKI occurrence in the survival subgroup (OR: 1.46, P < 0.001) and the non-CKD subgroup (OR: 1.69, P < 0.001).

Conclusion

The findings indicate a non-linear positive relationship between SHR and the likelihood of SA-AKI in patients with sepsis, suggesting that SHR could be a potential predictor for SA-AKI.

The prognostic value of the stress hyperglycemia ratio for all-cause mortality in stroke patients with diabetes or prediabetes

BACKGROUND

The stress hyperglycemia ratio (SHR), originally proposed in 2015 by Robert et al., is more significantly relevant and predictive of critical illness than absolute hyperglycemia. Several studies have validated the association between stress hyperglycemia ratio and cerebrovascular disease. However, the value of stress hyperglycemia ratio for severe stroke patients admitted to the ICU remains uncertain. The aim of this study was to investigate the relationship between stress hyperglycemia ratio and clinical short- and long-term prognosis of critically ill patients with acute ischemic stroke (AIS).

METHODS

Clinical data from 893 critically ill patients with ischemic stroke (IS) were extracted from the Medical Information Marketplace for Intensive Care (MIMIC-IV) database and 793 critically ill IS patients with 1 year of follow-up. The SHR is expressed by the formula: SHR = [(admission glucose (mg/dl)) / (28.7 × HbA1c (%) - 46.7)]. The study population was categorized into quartiles based on SHR level. Outcomes included ICU mortality, hospital mortality, and 1-year mortality. Cox proportional risk regression analysis and restricted cubic spline curves were used to elucidate the association between SHR and clinical prognosis in critically ill patients with AIS.

RESULTS

There were 69 ICU deaths and 100 in-hospital deaths in cohort 1, and 229 patients experienced all-cause mortality during the 1-year follow-up in cohort 2. Multivariate Cox proportional risk analysis showed that elevated SHR was significantly associated with an increased risk of hospital and 1-year all-cause mortality. After adjusting for confounders, patients with elevated SHR were significantly associated with hospital mortality (adjusted risk ratio, 1.870; 95 % confidence interval, 1.180-2.962; P = 0.008) and 1-year mortality (adjusted risk ratio, 2.325; 95 % confidence, 1.729-3.127; P < 0.001). Restricted cubic spline bars showed that a progressively increasing risk of all-cause mortality was associated with an elevated SHR.

CONCLUSION

Stress hyperglycemia ratios were significantly associated with in-hospital and 1-year all-cause mortality in critically ill IS patients. Moreover, we found that non-diabetic and prediabetic patients showed an increased risk of all-cause mortality. It is suggested that SHR may be useful in identifying ischemic stroke patients at high risk of all-cause mortality and providing personalized interventions as early as possible.

Incremental Prognostic Value of Admission Blood Glucose to Albumin Ratio in Patients with Acute Coronary Syndrome: A Retrospective Observational Cohort Study

Background

Blood glucose and serum albumin can be biomarkers at admission since they are easily accessible and demonstrate correlations with cardiovascular diseases. The predictive ability of the admission blood glucose to albumin ratio (AAR) for long-term prognosis in patients with acute coronary syndrome (ACS) and its potential to elevate the predictive value of the Global Registry of Acute Coronary Events (GRACE) risk score in ACS patients post-percutaneous coronary intervention (PCI) remains unknown. Hence, this study aimed to investigate the incremental prognostic value of the AAR in patients with ACS undergoing PCI.

Methods

A rigorous development-validation approach was implemented to optimize the GRACE risk score, utilizing the AAR parameter in 1498 patients suffering from ACS after PCI at the Third People's Hospital of Chengdu, Sichuan, China.

Results

Over a median of 31.25 (27.53, 35.10) months, the incidence of major adverse cardiac events (MACEs), defined as a composite outcome encompassing all-cause death, cardiac death, nonfatal myocardial infarction, nonfatal stroke, and unplanned repeat revascularization, was higher in individuals with higher AARs. Thus, the AAR was an independent predictor of long-term prognosis in ACS patients undergoing PCI (HR, 1.145; 95% CI: 1.045-1.255; p = 0.004). The integration of the AAR score with the GRACE risk score increased the C statistic from 0.717 (95% CI: 0.694-0.740) to 0.733 (95% CI: 0.690-0.776) (p < 0.01).

Conclusions

The AAR is an independent predictor of prognosis in ACS patients and significantly increased the predictive value of the GRACE risk score.

Association of the stress hyperglycemia ratio for all-cause and cardiovascular mortality in population with cardiovascular-kidney-metabolic syndrome stages 0-4: evidence from a large cohort study

BACKGROUND

The Cardiovascular-kidney-metabolic (CKM) syndrome is a health disorder caused by interactions between cardiovascular disease, kidney disease, and metabolism-related risk factors. The stress hyperglycemia ratio (SHR) has been shown to correlate with the prognosis of participants with diabetes mellitus, heart failure, and myocardial infarction. However, the predictive value of SHR in the CKM syndrome population is unclear and requires further exploration.

METHODS

This study analyzed 19,345 participants from the National Health and Nutrition Examination Survey (1999-2018). CKM syndrome was staged according to the American Heart Association (AHA) guidelines. SHR was calculated using fasting blood glucose (FBG) and glycated hemoglobin type A1c (HbA1c). Participants were grouped into four quartiles based on SHR. The primary and secondary outcomes were all-cause mortality and cardiovascular mortality, respectively. Kaplan-Meier survival curves and Cox proportional hazard regression models were used to evaluate the association between SHR and outcomes. Then, the potential nonlinear relationship was explored using restricted cubic spline (RCS) analysis. We also performed subgroup analyses to assess the effects of different variables.

RESULTS

A total of 2,736 all-cause deaths and 699 cardiovascular deaths were recorded during a median follow-up period of 115 months. Kaplan-Meier analysis revealed that participants in quartile 2 had the lowest risk for both all-cause and cardiovascular mortality (Log Rank P < 0.05). Multivariate Cox regression demonstrated the lowest all-cause mortality in the 2nd quartile (HR = 0.84, 95% CI = 0.73-0.97, P = 0.015) and the highest all-cause mortality in the 4th quartile (HR = 1.19, 95% CI = 1.03-1.37, P = 0.018), compared with the 1st quartile group of SHR. The RCS curve demonstrated a U-shape association of SHR with both all-cause and cardiovascular mortality, with the lowest points of 0.89 and 0.91, respectively.

CONCLUSIONS

SHR is strongly correlated with prognosis in the CKM syndrome population, with high or low SHR increasing the risk of death. This index shows great potential for predicting the risk of death in this population.

Glycemic Comparison Index (GCI): a retrospective analysis of its prognostic value in ICU patients with AMI and diabetes

BACKGROUND

Acute myocardial infarction (AMI) has a significant impact on global health, especially among individuals with diabetes, emphasizing the need for specialized glycemic management. This study examines the glycemic comparison index (GCI), a novel prognostic tool designed for patients with AMI and diabetes, aiming to enhance glucose management in critical care settings.

METHODS

This retrospective cohort analysis used data from the Medical Information Mart for Intensive Care IV database (version 2.2). The GCI was calculated by comparing mean blood glucose levels in the intensive care unit (ICU) to baseline glucose levels. Patients were stratified into tertiles based on their GCI scores. The primary outcome measured was one-year all-cause mortality, while secondary outcomes included hospital mortality, ICU-free days, and hypoglycemic events. Statistical analyses included time-dependent receiver operating characteristic (ROC), cox proportional hazards models, generalized linear models (GLM), and restricted cubic spline analysis.

RESULTS

The patient population comprised 622 individuals, with a mean age of 69.9 years and 64.6% male representation. The high GCI group exhibited the highest one-year mortality rate and fewer ICU-free days, while the low GCI group exhibited a higher incidence of hypoglycemia. Statistical analyses revealed that GCI was a significant predictor of one-year all-cause mortality (hazard ratio: 2.21, 95% confidence interval: 1.51-3.24). Analysis using time-dependent ROC confirmed the consistent predictive accuracy of GCI for survival at 1, 6, and 12 months (area under the curve: 0.671, 0.670, and 0.634, respectively). Furthermore, GLM analysis indicated that a higher GCI was associated with fewer ICU-free days.

CONCLUSIONS

Higher GCI values are associated with increased one-year mortality and fewer ICU-free days in patients with AMI and diabetes. In comparison, lower GCI values are correlated with a higher risk of hypoglycemia. The GCI demonstrates potential as a personalized prognostic tool, although further validation is needed.

The prognostic significance of stress hyperglycemia ratio in evaluating all-cause and cardiovascular mortality risk among individuals across stages 0-3 of cardiovascular-kidney-metabolic syndrome: evidence from two cohort studies

BACKGROUND

The American Heart Association (AHA) proposed the concept of cardiovascular-kidney-metabolic (CKM) syndrome, underscoring the interconnectedness of cardiovascular, renal, and metabolic diseases. The stress hyperglycemia ratio (SHR) represents an innovative indicator that quantifies blood glucose fluctuations in patients experiencing acute or subacute stress, correlating with detrimental clinical effects. Nevertheless, the prognostic significance of SHR within individuals diagnosed with CKM syndrome in stages 0 to 3, particularly with respect to all-cause or cardiovascular disease (CVD) mortality risks, has not been fully understood yet.

METHODS

The current study analyzed data from 9647 participants with CKM syndrome, covering stages 0 to 3, based on the NHANES (National Health and Nutrition Examination Survey) collected from 2007 to 2018. In this study, the primary exposure variable was the SHR, computed as fasting plasma glucose divided by (1.59 * HbA1c - 2.59). The main endpoints of study were all-cause mortality as well as CVD mortality, with death registration data sourced through December 31, 2019. The CHARLS database (China Health and Retirement Longitudinal Study) was utilized as validation to enhance the reliability of the findings.

RESULTS

This study included 9647 NHANES participants, who were followed for a median duration of 6.80 years. During this period, 630 all-cause mortality cases and 135 CVD-related deaths in total were recorded. After full adjustment for covariates, our results displayed a robust positive association of SHR with all-cause mortality (Hazard ratio [HR] = 1.09, 95% Confidence interval [CI] 1.04-1.13). However, the SHR exhibited no significant relationship with CVD mortality (HR = 1.00, 95% CI 0.91-1.11). The mediation analysis results suggested that the relationship between SHR and all-cause mortality risk is partially mediated by RDW, albumin, and RAR. Specifically, the mediating effects were - 17.0% (95% CI - 46.7%, - 8.7%), - 10.1% (95% CI - 23.9%, - 4.7%), and - 23.3% (95% CI - 49.0%, - 13.0%), respectively. Additionally, analyses of the CHARLS database indicated a significant positive correlation between SHR and all-cause mortality among individuals diagnosed with CKM across stages 0-3 during the follow-up period from 2011 to 2020.

CONCLUSIONS

An increased SHR value is positively associated with an elevated likelihood of all-cause mortality within individuals diagnosed with CKM syndrome across stages 0-3, yet it shows no significant association with CVD mortality. SHR is an important tool for predicting long-term adverse outcomes in this population. Cardiovascular-kidney-metabolic (CKM) syndrome emphasizes the interconnectedness of cardiovascular, kidney, and metabolic diseases. The stress hyperglycemia ratio (SHR) is a novel marker reflecting stress-induced glucose fluctuations, but its prognostic value in individuals with CKM syndrome (stages 0-3) remains uncertain. This study explores the association between SHR and all-cause and cardiovascular disease (CVD) mortality in this population. Our findings indicate that SHR is significantly associated with an increased risk of all-cause mortality (HR = 1.09, 95% CI 1.04-1.13), but not with CVD mortality (HR = 1.00, 95% CI: 0.91-1.11). Mediation analysis results suggested that the relationship between SHR and all-cause mortality risk is partially mediated by RDW, albumin, and RAR. Specifically, the mediating effects were - 17.0% (95% CI - 46.7%, - 8.7%), - 10.1% (95% CI - 23.9%, - 4.7%), and - 23.3% (95% CI - 49.0%, - 13.0%), respectively. Validation using the CHARLS database supports these findings. These results suggest that SHR could serve as a prognostic biomarker for long-term mortality risk in CKM patients, offering potential clinical utility in risk stratification and management.

Association between the stress hyperglycemia ratio and all-cause mortality in critically ill patients with T2DM: a retrospective study

Background

Previous studies have shown a significant correlation between the stress-hyperglycemia ratio (SHR) and mortality. However, it is unknown whether the SHR has the same predictive value in severely ill patients. The main purpose of this research was to investigate the association between the SHR and all-cause mortality in critically ill patients with T2DM.

Methods

The data used in this study were derived from the Medical Information Mart for Intensive Care (MIMIC-IV) database. The primary outcome was 180-day mortality and the secondary outcomes were 28-day, 90-day and 365-day mortality. The main analytical methods included: Kaplan-Meier survival analysis, the COX proportional hazards model and restricted cubic splines.

Results

A total of 993 patients were included. The 28-day, 90-day, 180-day, and 365-day mortalities reached 10.4%, 14.4%, 16.7% and 19.0%, respectively. Multivariate Cox proportional hazards analysis revealed that the elevated SHR was significantly related to 28-day, 90-day and 180-day all-cause mortality even after cofounder adjustment. Restricted cubic spline analysis revealed a nonlinear association between the SHR and the risk of 28-day (p for nonlinear=0.014), 90-day (p for nonlinear=0.007), 180-day (p for nonlinear=0.001) and 365-day (p for nonlinear=0.003) all-cause mortality.

Conclusion

SHR is significantly associated with 28-day, 90-day and 180-day all-cause mortality in critically ill patients with T2DM. This may help us identify patients at higher risk of death early.

Stress hyperglycemia in acute pancreatitis: From mechanisms to prognostic implications

Acute pancreatitis (AP) is an inflammatory reaction of the pancreas. When the disease is severe, it is often accompanied by destruction of the pancreatic islets, resulting in dysfunction of the endocrine system of the pancreas. Stress hyperglycemia is a transient increase in glucose during a critical illness, and its possible mechanism is related to abnormal glucose metabolism and insulin resistance due to the increased release of counterregulatory hormones and cytokines, such as glucagon, cortisol, and catecholamines. Numerous studies have shown that stress hyperglycemia is strongly associated with morbidity, mortality, and increased risk of post-acute pancreatitis diabetes in AP patients. Therefore, stress hyperglycemia may be a significant independent risk factor for poor clinical outcomes and prognosis in patients with AP. This article reviews the clinical features, risk factors, and mechanisms of action of stress hyperglycemia in AP and its influence on adverse clinical outcomes and the prognosis of inpatients with AP. For AP patients with stress hyperglycemia, it is necessary to comprehensively consider their blood glucose levels, daily habits, and complications to develop an appropriate treatment plan for hyperglycemia. Limited evidence indicates that in the case of acute hyperglycemia in critically ill patients, especially during the first 3 days of hospitalization, insulin therapy should not be undertaken if the blood glucose level does not exceed 10 mmol/L. However, some important questions related to clinical practice remain to be answered. More clinical trials and studies are needed in the future to provide a sufficient basis for clinical practice.

Association of novel inflammatory and metabolic markers with mortality in individuals with overweight and obesity

BACKGROUND AND AIMS

Stress hyperglycemia ratio (SHR) and pan-immune-inflammation value (PIV) are novel prognostic markers associated with metabolic changes and chronic inflammation, but their association with mortality risk in individuals with overweight and obesity remains unknown. We aimed to investigate impact of SHR and PIV on mortality risk in individuals with overweight and obesity.

METHODS AND RESULTS

This cohort study included 16,703 U S adults with overweight and obesity. SHR and PIV were estimated, and Cox regression, ROC, and Kaplan-Meier curves analyzed their associations with all-cause and cause-specific mortality. Subgroup and interaction analyses tested SHR and PIV consistency. Over a median follow-up of 110 months, there were 2432 all-cause deaths (14.6 %), including 677 cardiovascular, 577 cancer, and 130 cerebrovascular deaths. Participants were categorized by optimal SHR (≥1.038 or <1.038) and PIV (≥301 or <301) cutoffs. High SHR was associated with higher overall and cause-specific mortality (log-rank p < 0.001). High PIV was linked to increased risks of overall, cardiovascular, and cancer mortality (log-rank p < 0.001). Multivariate Cox models showed elevated SHR was associated with increased all-cause, cardiovascular, and cancer mortality (HR:1.59; 95%CI: 1.34-1.89; HR:1.45; 95%CI: 1.03-2.04; HR:1.66; 95%CI: 1.15-2.38, respectively). Elevated PIV was linked to higher all-cause and cardiovascular mortality (HR: 1.18; 95%CI: 1.02-1.37; HR:1.35; 95%CI: 1.02-1.79, respectively). Poorer survival was noted in obesity + high SHR and overweight + high PIV subgroups (log-rank p < 0.001).

CONCLUSIONS

Elevated SHR and PIV are significant predictors of increased all-cause and cause-specific mortality in individuals with overweight and obesity.

Association between stress hyperglycemia ratio and contrast-induced nephropathy in ACS patients undergoing PCI: a retrospective cohort study from the MIMIC-IV database

BACKGROUND

Contrast-induced nephropathy (CIN) is a significant complication in acute coronary syndrome (ACS) patients undergoing percutaneous coronary intervention (PCI). The role of the stress hyperglycemia ratio (SHR) as a predictor of CIN and mortality in these patients remains unclear and warrants investigation.

OBJECTIVE

To assess the relationship between SHR and CIN, as well as its impact on short-term mortality in ACS patients undergoing PCI.

METHODS

We conducted a retrospective cohort study using the MIMIC-IV database, including 552 ACS patients. SHR was calculated as the ratio of admission glucose to estimated average glucose from hemoglobin A1c. CIN was defined as a ≥ 0.5 mg/dL or ≥ 25% increase in serum creatinine within 48 h of PCI. Logistic regression and spline models were used to analyze the association between SHR and CIN, while Kaplan-Meier curves assessed 30-day mortality.

RESULTS

Higher SHR levels were independently associated with increased CIN risk (OR 2.36, 95% CI: 1.56-3.57, P < 0.0001). A J-shaped relationship was observed, with CIN risk rising sharply when SHR exceeded 1.06. SHR was also a predictor of higher 30-day mortality (P < 0.0001). Subgroup analysis revealed a stronger SHR-CIN association in non-diabetic patients.

CONCLUSION

SHR is an independent predictor of CIN and short-term mortality in ACS patients undergoing PCI. It offers potential for risk stratification and clinical decision-making, especially in non-diabetic patients.

Impact of the Stress Hyperglycemia Ratio on Heart Failure and Atherosclerotic Cardiovascular Events After Acute Myocardial Infarction

BACKGROUND

An acute hyperglycemic status is reportedly associated with poor prognosis in patients with acute cardiovascular diseases. Although the stress hyperglycemia ratio (SHR) is used to evaluate the hyperglycemic condition on admission, relationships between SHR and clinical outcomes, particularly heart failure (HF), remain uncertain in acute myocardial infarction (AMI).

METHODS AND RESULTS

This retrospective multicenter study included 2,386 patients with AMI undergoing percutaneous coronary intervention. SHR was calculated using blood glucose and HbA1c levels. Co-primary endpoints included HF-related events (death, worsening HF, and hospitalization for HF) and major adverse cardiovascular events (MACE; death, recurrent AMI, and ischemic stroke) during the index hospitalization and after discharge. The mean (±SD) SHR was 1.30±0.51; HF events and MACE occurred in 680 (28.5%) and 233 (9.8%) patients during hospitalization, respectively. SHR was independently associated with in-hospital HF events and MACE. Of 2,017 patients who survived to discharge, 195 (9.7%) and 214 (10.6%) experienced HF events and MACE, respectively, over a median follow-up of 536 days. The risk of HF events was higher in patients with a high (>1.45) SHR than in those with SHR ≤1.45; there was no significant difference in MACE rates after discharge between these 2 groups.

CONCLUSIONS

In AMI patients, SHR was predictive of in-hospital outcomes, including HF events and MACE, whereas after discharge a higher SHR was associated with higher HF risks, but not MACE.

The relationship between stress hyperglycemia ratio and the risk of delirium in patients after coronary artery bypass grafting

INTRODUCTION

The association between relative hyperglycemia and postoperative delirium (POD) following coronary artery bypass grafting (CABG) remains inadequately understood. This research aims to explore the correlation between the stress hyperglycemia ratio (SHR) and the occurrence of delirium in patients undergoing CABG.

METHODS

This study analyzed the data from 9613 patients who underwent coronary artery bypass grafting (CABG) using information from the Medical Information Mart for Intensive Care IV (MIMIC-IV) database. To assess the association between SHR and POD following CABG, restricted cubic spline (RCS) models and logistic regression analyses were applied. Patients were categorized into high SHR (SHR ≥ 1.21) and low SHR (SHR < 1.21) groups based on optimal cut-off values derived from the receiver operating characteristic (ROC) curve. To evaluate the influence of diabetes mellitus (DM) on the outcomes, further classified of four groups of patients were conducted based on the presence or absence of DM and SHR levels. Subgroup analyses were subsequently applied to assess the relationship of POD and SHR within various patient groups.

RESULTS

The average age of the enrolled patients was 67.62 ± 12.54 years, with 6284 (65.3%) males, higher SHR was associated with an increased incidence of postoperative delirium following CABG (OR 1.37, 95% CI 1.24-1.52, P < 0.001), even after adjusting for confounders (OR 1.55, 95% CI 1.32-1.79, P < 0.001). RCS analysis revealed a "J-shaped" relationship between the POD fowling CABG and SHR level. Logistic regression analysis further demonstrated that the association between SHR and POD may be higher than that of glucose or glycated hemoglobin levels alone. Among the stratified groups based on SHR and DM, the high-SHR/DM group exhibited the highest risk of developing POD. In conclusion, SHR is an independent risk factor that may have potential as a biomarker for assessing POD after CABG.

CONCLUSION

SHR serves as an independent risk factor and shows promise as a potential biomarker for predicting the risk of POD following CABG.

Stress hyperglycemia ratio and machine learning model for prediction of all-cause mortality in patients undergoing cardiac surgery

BACKGROUND

The stress hyperglycemia ratio (SHR) was developed to reduce the effects of long-term chronic glycemic factors on stress hyperglycemia levels, which was associated with adverse clinical outcomes. This study aims to evaluate the relationship between the postoperative SHR index and all-cause mortality in patients undergoing cardiac surgery.

METHODS

Data for this study were extracted from the Medical Information Mart for Intensive Care IV (MIMIC-IV) database. Patients were categorized into four groups based on postoperative SHR index quartiles. The primary outcome was 30-day all-cause mortality, while the secondary outcomes included in-hospital, 90-day and 360-day all-cause mortality. The SHR index was analyzed using quartiles, and Kaplan-Meier curves were generated to compare outcomes across groups. Cox proportional hazards regression and restricted cubic splines (RCS) were employed to assess the relationship between the SHR index and the outcomes. LASSO regression was used for feature selection. Six machine learning algorithms were used to predict in-hospital all-cause mortality and were further extended to predict 360-day all-cause mortality. The SHapley Additive exPlanations method was used for visualizing model characteristics and individual case predictions.

RESULTS

A total of 3,848 participants were included in the study, with a mean age of 68 ± 12 years and female participants comprised 30.6% (1,179). Higher postoperative SHR index levels were associated with an increased risk of in-hospital, 90-day and 360-day all-cause mortality as shown by Kaplan-Meier curves (log-rank P < 0.05). Cox regression analysis revealed that the highest postoperative SHR quartile was associated with a significantly higher risk of mortality at these time points (P < 0.05). RCS analysis demonstrated nonlinear relationships between the postoperative SHR index and all-cause mortality (P for nonlinear < 0.05). The Naive Bayes model achieves the highest area under the curve (AUC) for predicting both in-hospital mortality (0.7936) and 360-day all-cause mortality (0.7410).

CONCLUSION

In patients undergoing cardiac surgery, higher postoperative SHR index levels were significantly associated with increased risk of in-hospital, 90-day and 360-day all-cause mortality. The SHR index may serve as a valid tool for assessing the severity after cardiac surgery and guiding treatment decisions.

Assessment of stress hyperglycemia ratio to predict all-cause mortality in patients with critical cerebrovascular disease: a retrospective cohort study from the MIMIC-IV database

BACKGROUND

The association between the stress hyperglycemia ratio (SHR), which represents the degree of acute stress hyperglycemic status, and the risk of mortality in cerebrovascular disease patients in the intensive care unit (ICU) remains unclear. This study aims to investigate the predictive ability of SHR for in-hospital mortality in critically ill cerebrovascular disease patients and to assess its potential to enhance existing predictive models.

METHODS

We extracted data from the Medical Information Mart for Intensive Care (MIMIC-IV) database for patients diagnosed with cerebrovascular disease and used Cox regression to assess the association between SHR and mortality. To investigate the nature of this association, we applied restricted cubic spline analysis to determine if it is linear. The predictive ability of SHR for mortality risk was evaluated using receiver operating characteristic (ROC) curves and the C-index.

RESULTS

We included a total of 2,461 patients, with a mean age of 70.55 ± 14.59 years, and 1,221 (49.61%) being female. Cox regression analysis revealed that SHR was independently associated with both in-hospital mortality (per standard deviation (SD) increase: hazard ratio (HR) 1.35, 95% confidence interval (CI) 1.23-1.48) and ICU mortality (per SD increase: HR 1.37, 95% CI 1.21-1.54). The risk of death increased in an approximately linear fashion when SHR exceeded 0.77-0.79. Subgroup analysis indicated the association was more pronounced in non-diabetic individuals. Additionally, incorporating SHR into existing models improved both discrimination and reclassification performance.

CONCLUSION

SHR serves as an independent risk factor for in-hospital mortality in cerebrovascular disease patients in the ICU. Adding SHR to existing models enhances their predictive performance, offering clinical value in the identification of high-risk patients.

The association between stress-induced hyperglycemia ratio and cardiovascular events as well as all-cause mortality in patients with chronic kidney disease and diabetic nephropathy

The stress hyperglycemia ratio (SHR) is an emerging biomarker used to assess blood glucose levels under acute stress conditions and has been linked to the incidence of adverse clinical outcomes. However, the precise role of SHR in patients with diabetic kidney disease (DKD) and chronic kidney disease (CKD), particularly in relation to mortality, remains poorly understood. This study seeks to investigate the clinical value of SHR as a predictive tool for all-cause and cardiovascular mortality in these patient groups. This study analyzed data from the National Health and Nutrition Examination Survey (NHANES) spanning from 1999 to 2018, encompassing 3,507 individuals diagnosed with diabetic kidney disease (DKD) or chronic kidney disease (CKD). The primary endpoints included all-cause mortality and cardiovascular mortality, with mortality data obtained from the National Death Index (NDI) through December 31, 2019. Participants were categorized into quartiles based on the stress hyperglycemia ratio (SHR), and Cox proportional hazards regression models were employed to examine the association between SHR and mortality. Model 1 did not account for any covariates, Model 2 adjusted for age, sex, and race, while Model 3 additionally incorporated adjustments for educational attainment, marital status, body mass index, smoking behavior, hypertension, hyperlipidemia, and cardiovascular disease. The study comprised 3,507 patients with a mean age of 60.7 years, of whom 56% were female. The overall incidence of all-cause mortality was 38,000 per 100,000 person-years, while cardiovascular mortality was 11,405 per 100,000 person-years. Kaplan-Meier survival analysis revealed that the second quartile of the stress hyperglycemia ratio (SHR) (Q2) exhibited the lowest all-cause mortality (log-rank P = 0.003). Cox regression analysis indicated that the hazard ratio (HR) for all-cause mortality in Q2 was 0.76 (95% CI: 0.63, 0.92), whereas the HR for Q4 was 1.26 (95% CI: 1.04, 1.52). Restricted cubic spline (RCS) analysis revealed a J-shaped association between SHR and all-cause mortality, as well as a U-shaped association with cardiovascular mortality. The minimum risk values for SHR were 0.923 for all-cause mortality and 1.026 for cardiovascular mortality. In patients with diabetic kidney disease (DKD) and chronic kidney disease (CKD), SHR demonstrated a J-shaped relationship with all-cause mortality and a U-shaped relationship with cardiovascular mortality. Subgroup analyses indicated that the effect of spontaneous hypertension on mortality was consistent across all subgroups. This study highlights a significant association between the stress hyperglycemia ratio (SHR) and both all-cause and cardiovascular mortality in patients with diabetic kidney disease (DKD) or chronic kidney disease (CKD). SHR may serve as a critical biomarker for prognostic assessment in these populations, enabling clinicians to identify high-risk patients and tailor personalized treatment strategies that enhance patient quality of life and mitigate mortality risk.

Relationship between stress hyperglycemia ratio and progression of non target coronary lesions: a retrospective cohort study

BACKGROUND

Stress hyperglycemia ratio is a novel indicator of acute coronary synthesis (ACS), which is closely related to the severity and complications of ACS and other cardiovascular diseases. However, its relationship with the progression of non target coronary lesions remains unclear. The purpose of this paper is to explore the relationship between stress hyperglycemia ratio and the progression of non target coronary lesions.

METHODS

This study retrospectively enrolled patients diagnosed with acute coronary syndrome who underwent stent implantation and follow-up evaluations by coronary angiography at Zhongda Hospital between January 2019 and January 2024. Patients were classified into progression and non progression groups based on follow-up angiography findings. Logistic regression models, restricted cubic spline analysis, and machine learning algorithms (LightGBM, decision tree, and XGBoost) were utilized to analyse the relationship of stress hyperglycemia ratio and non target lesion progression.

RESULTS

A total of 1,234 ACS patients were included; 29.1% experienced non target lesions progression. Logistic regression analysis showed that stress hyperglycemia ratio (SHR) was a risk factor for non target disease progression (P < 0.001), and after adjusting for other variables, SHR was still independently associated with non target disease progression (OR = 2.12, 95% CI: 1.30-3.44, p = 0.003). RCS analysis revealed a near-linear relationship between SHR and nontarget lesions progression (P = 0.14). With the increase of SHR, the risk of non target lesions progression continued to increase, and the risk was significant when the SHR was greater than 0.96, but tended to be stable when the SHR was greater than 1.36 (p = 0.0047). A hybrid model combining logistic regression and XGBoost yielded the best predictive performance, with an AUC of 0.78 (95% CI: 0.72-0.85), incorporating SHR, number and stenosis severity of non target lesions (NTLs), hypertension and high-density lipoprotein cholesterol (HDL-c). Subgroup analysis showed that elevated SHR was a stronger predictor of NTL progression in non-diabetic patients (OR = 3.76, p = 0.007) compared with diabetic patients (OR = 1.69, p = 0.083).

CONCLUSION

Stress hyperglycemia ratio is closely related to the progression of non target lesions. This study provides a novel insight for optimizing the long-term management of non target lesions after PCI.

Predicting 28-day all-cause mortality in patients admitted to intensive care units with pre-existing chronic heart failure using the stress hyperglycemia ratio: a machine learning-driven retrospective cohort analysis

Chronic heart failure (CHF) poses a significant threat to human health. The stress hyperglycemia ratio (SHR) is a novel metric for accurately assessing stress hyperglycemia, which has been correlated with adverse outcomes in various major diseases. However, it remains unclear whether SHR is associated with 28-day mortality in patients with pre-existing CHF who were admitted to intensive care units (ICUs). This study retrospectively recruited patients who were admitted to ICUs with both acute critical illness and pre-existing CHF from the Medical Information Mart for Intensive Care (MIMIC) database. Characteristics were compared between the survival and non-survival groups. The relationship between SHR and 28-day all-cause mortality was analyzed using restricted cubic splines, receiver operating characteristic (ROC) curves, Kaplan-Meier survival analysis, and Cox proportional hazards regression analysis. The importance of the potential risk factors was assessed using the Boruta algorithm. Prediction models were constructed using machine learning algorithms. A total of 913 patients were enrolled. The risk of 28-day mortality increased with higher SHR levels (P < 0.001). SHR was independently associated with 28-day all-cause mortality, with an unadjusted hazard ratio (HR) of 1.45 (P < 0.001) and an adjusted HR of 1.43 (P < 0.001). Subgroup analysis found that none of the potential risk factors, such as demographics, comorbidities, and drugs, affected the relationship (P for interaction > 0.05). The area under the ROC (AUC) curve for SHR was larger than those for admission blood glucose and HbA1c; the cut-off for SHR was 0.57. Patients with SHR higher than the cut-off had a significantly lower 28-day survival probability (P < 0.001). SHR was identified as one of the key factors for 28-day mortality by the Boruta algorithm. The predictive performance was verified through four machine learning algorithms, with the neural network algorithm being the best (AUC 0.801). For patients with both acute critical illness and pre-existing CHF, SHR was an independent predictor of 28-day all-cause mortality. Its prognostic performance surpasses those of HbA1c and blood glucose, and prognostic models based on SHR provide clinicians with an effective tool to make therapeutic decisions.

The additive effect of the stress hyperglycemia ratio on type 2 diabetes: a population-based cohort study

BACKGROUND

The stress hyperglycemia ratio (SHR) has recently gained attention as a marker for acute hyperglycemia, which has been linked to adverse clinical outcomes. However, its independent role in the development of type 2 diabetes (T2D) remains understudied. This cohort study aimed to assess the association between SHR and the incidence of T2D.

METHODS

The study included 8978 participants aged 45 or older, free of diabetes at baseline, from the China Health and Retirement Longitudinal Study (CHARLS). Incident T2D up to December 31, 2020, was the primary outcome. Participants were divided into SHR quartiles, and Cox proportional hazards regression and fine-gray competing risk models were used to assess SHR's association with T2D onset, adjusting for fasting glucose and HbA1c.

RESULTS

The mean age of participants was 59.0 ± 9.5 years, and 51.5% were women. Over a mean follow-up of 7.8 years, 1084 participants developed T2D. Cox regression analysis revealed that individuals in the highest SHR quartile had a significantly higher risk of T2D onset compared to those in the lowest quartile (HR 1.48, 95% CI 1.26-1.75, P for trend < 0.001). Stratified analyses by sex, obesity, and smoking showed consistent results. Adding SHR to fasting glucose and HbA1c models improved the AUC for T2D prediction (DeLong Test, P = 0.013).

CONCLUSION

SHR is independently associated with incident T2D, suggesting its potential use in the risk stratification and prediction for T2D, beyond glucose and HbA1c.

Acute kidney disease and postoperative glycemia variability in patients undergoing cardiac surgery: A multicenter cohort analysis of 8,090 patients

BACKGROUND

No previous research has specifically investigated the relationship between postoperative glycemic variability (GV) and acute kidney disease (AKD) in patients undergoing cardiac surgery. In this study, several methods of modelling postoperative GV were used to examine the association between GV and AKD risk and subtypes of AKD.

METHODS

We undertook a retrospective study involving a total of 8,090 adult patients from three academic medical centers in Eastern China who underwent cardiac surgery with cardiopulmonary bypass between 2015 and 2023. Seven-day postoperative GV was calculated using the standard deviation (SD), coefficient of variation (CV), mean amplitude of glycemic excursion (MAGE), average daily risk range (ADRR), and time out of target range (TOR). The primary focus was on the occurrence of AKD between 8 and 90 days post-surgery, which was further categorized into persistent AKD and delayed AKD depending on the acute kidney injury (AKI) status in the first 7 days.

RESULTS

During the 8-90 days postoperative period, AKD occurred in 522 out of 8,090 patients (6.5%). Seven-day postoperative GV was significantly and consistently higher in the AKD group (p<0.001 for each metric). After adjusting for relevant covariates, 7-day GV metrics were significantly associated with elevated AKD risk (standardized hazard ratio (SHR):1.20 (95% confidence interval (CI): (1.12 - 1.27) for SD; SHR: 1.30 (95% CI: 1.20 - 1.40) for TOR). GV was correlated with persistent AKD, while no statistically significant association was observed between GV and delayed AKD. Unique cutoff thresholds were calculated for each GV metric to provide a quantitative indicator of high GV, enhancing its practical utility.

CONCLUSIONS

Our study highlights the association between postoperative GV and increased AKD risk, and identifies specific GV thresholds in adults undergoing cardiac surgery.

Effects of stress hyperglycemia ratio upon long-lasting prognosis in coronary artery disease patients with or lacking chronic renal impairment: findings from a Chinese multi-center observational study

BACKGROUND

Lately, numerous researches have portrayed stress hyperglycemia ratio (SHR) is predominantly connected with short-term adverse prognosis among individuals who have acute coronary syndrome. Nevertheless, the relation of SHR with prolonged effects and the value of SHR in predicting in coronary artery disease (CAD) patients with or lacking chronic kidney disease (CKD) remain unclear. The present study was designed to elucidate the relation of SHR with prolonged prognosis and the value of SHR in predicting the long-term all-cause and cardiovascular death of CAD patients with CKD or non-CKD.

METHODS

We assessed 45,780 adults with CAD from a Chinese multi-center registry. SHR was computed via a formula [SHR = (admission glucose) (mmol/L) / (1.59 * HbA1c [%] - 2.59)]. Based on the presence or absence of CKD and SHR levels, patients were categorized into four groups. Long-term all-cause and cardiovascular mortality were the primary endpoints. The Kaplan-Meier method, restricted cubic spline (RCS), cox regression analysis, subgroups analysis, and sensitivity analysis were employed to estimate the connection between SHR and all-cause as well as cardiovascular mortality.

RESULTS

During a median follow-up of 5.2 years ( IQR 3.0-8.0), among 45,780 CAD patients (mean age [SD]: 62.8 ± 10.6 years; 23.9% female), the number of all-cause deaths was 7144(15.6%), and cardiovascular-related deaths was 3255 (7.1%). In cohorts with CKD, patients with high SHR had higher all-cause mortality (30.2% vs. 27.6%; adjusted hazard ratio HR 1.13, 95% CI 1.04-1.22; P = 0.003) and cardiovascular mortality (18.2% vs. 15.6%; HR adjusted 1.17, 95% CI 1.06-1.30; P = 0.002) compared to the individuals in low SHR. However, this was not the case in CAD cohorts without CKD [all-cause mortality (12.9% vs. 11.9%; HR adjusted 1.04, 95%CI 0.98-1.10, P = 0.206); cardiovascular mortality (5.1% vs. 4.4%; HR adjusted 1.09, 95%CI 0.99-1.20, P = 0.084)]. KM analysis revealed that high SHR is linked with all-cause mortality [CKD (log-rank P < 0.001); no-CKD (log-rank P = 0.024)] and cardiovascular mortality [CKD (log-rank P < 0.001); no-CKD (log-rank P = 0.01)] in CAD patients with or without CKD. RCS demonstrated that the relation between SHR and all-cause mortality was U-shaped after full modification, which was shown for CKD patients (P for non-linearity = 0.003) and also for patients without CKD (P for non-linearity = 0.001). Analogous effects were discovered for cardiovascular mortality, which was the case for CKD patients (P for non-linearity < 0.001) and also for patients without CKD (P for non-linearity = 0.001).

CONCLUSIONS

Among patients with CAD, an elevated stress hyperglycemia ratio (SHR) is implicated in a heightened risk of long-term outcomes, particularly in those with CKD. This signifies that SHR might have a latent function in the cardiovascular risk categorization of the CAD population.

Stress hyperglycaemia ratio is an independent predictor of in-hospital heart failure among patients with anterior ST-segment elevation myocardial infarction

BACKGROUND

Stress hyperglycaemia ratio (SHR) has been reported to be independently and significantly associated with various adverse cardiovascular events as well as mortality. Moreover, in-hospital heart failure following acute myocardial infarction has been demonstrated to account for majority of all heart failure (HF) cases with anterior myocardial infarction showing higher rates of HF. However, the association between SHR and in-hospital HF following an anterior ST-elevation myocardial infarction (STEMI) has not been reported earlier. Therefore, the present study aimed at identifying the relationship between SHR and in-hospital HF post STEMI.

METHODS

In this retrospective study electronic health records of 512 patients who presented with anterior STEMI from 01 January 2022 to 31 January 2024 were analysed. Based on the development of in-hospital HF, the enrolled patients were stratified into two groups: Group I, comprising of 290 patients who developed in-hospital HF and Group II comprising of 222 patients who did not develop in-hospital HF. ROC and Multivariable logistic regression analyses were performed to assess the relationship between SHR and in-hospital HF.

RESULTS

The results revealed that SHR is a significant independent predictor of in-hospital HF (OR: 3.53; 95%CI: 2.02-6.15; p < 0.001). Apart from SHR, the results also identified age, nosocomial pneumonia, ventricular fibrillation, LVEF, and NT-pro-BNP levels as other independent predictors. ROC analysis showed that SHR independently had a moderate discriminative power with AUC: 0.683, 95% CI 0.605-0.762; p = 0.04, which was almost comparable to the combined predictive value of other independent risk factors (AUC: 0.726, 95% CI 0.677-0.784). Noticeably, combining SHR and other identified independent predictors demonstrated a significant predictive power (AUC: 0.813, 95% CI 0.757-0.881; p = 0.01).

CONCLUSION

SHR is an independent predictor for in-hospital HF in anterior wall STEMI patients.

Association and predictive ability between significant perioperative cardiovascular adverse events and stress glucose rise in patients undergoing non-cardiac surgery

BACKGROUND

The predictive importance of the stress hyperglycemia ratio (SHR), which is composed of admission blood glucose (ABG) and glycated hemoglobin (HbA1c), has not been fully established in noncardiac surgery. This study aims to evaluate the association and predictive capability the SHR for major perioperative adverse cardiovascular events (MACEs) in noncardiac surgery patients.

METHODS

Individuals who underwent noncardiac surgical procedures between 2011 and 2020, including both diabetic and non-diabetic patients, were identified in the perioperative medicine database (INSPIRE 1.1) and classified into tertiles based on their SHR. The connection between the SHR and the risk of MACEs was studied using Cox proportional hazards regression analysis, then restricted cubic spline (RCS) was employed to assess the association's form. Additionally, the SHR's incremental predictive utility for MACEs was assessed by the C-statistic, continuous net reclassification improvement (NRI), and integrated discrimination improvement (IDI), thereby quantifying the enhancement in predictive accuracy brought by incorporating the SHR into existing risk models. Feature importance and predictive models were generated utilizing the Boruta algorithm and machine learning approaches.

RESULTS

A total of 5609 patients were enrolled. With an upwards shift in SHR vertices, the rate of perioperative MACEs and cardiac death event steadily rose. The RCS analysis for perioperative MACEs and cardiac death event both indicated J-shaped associations. Inflection points occurred at SHR = 0.81 for MACEs and SHR = 0.97 for cardiac death. The model's fit improved significantly, with a continuous NRI of 0.067 (95% CI: 0.025-0.137, P < 0.001) and an IDI of 0.305 (95% CI: 0.155-0.430, P < 0.001). When SHR was added as a categorical variable (> 0.81), the C-statistic increased to 0.785 (95% CI: 0.756-0.814) with a ΔC-statistic of 0.035 (P = 0.009), a continuous NRI of 0.007 (95% CI: 0.000-0.021, P = 0.016), and an IDI of 0.076 (95% CI -0.024-0.142, P = 0.092). In the Boruta algorithm, variables identified as important features in the green area were incorporated into the machine learning models development.

CONCLUSIONS

The SHR was related with an increased risk of perioperative MACEs in patients following noncardiac surgery, highlighting its potential as a useful and reliable predictive tool for assessing the risk of perioperative MACEs.

Exploration and comparison of stress hyperglycemia-related indicators to predict clinical outcomes in patients with spontaneous intracerebral hemorrhage

Spontaneous intracerebral hemorrhage (ICH) is a prevalent hemorrhagic stroke characterized by a significant fatality rate and severe neurological impairments. Stress hyperglycemia has been confirmed to have a significant prognostic role in a range of diseases. However, studies on the association between stress hyperglycemia and the outcome of ICH have not currently been reported. Critically ill patients diagnosed with ICH in the Medical Information Mart for Intensive Care IV (MIMIC-IV) database were included in our study. Logistic regression and Cox regression were used to analyze the correlation between stress hyperglycemia and the outcome of ICH. The predictive ability of different glucose metrics was demonstrated by the receiver-operating characteristic (ROC) curve and was further compared by the integrated discrimination improvement (IDI) index. A total of 880 ICH patients in the MIMIC-IV database were included in this study. In logistic regression and Cox regression, blood glucose level (BGL), glycemic gap (GG), and stress hyperglycemia ratio (SHR) were independent predictors of unfavorable outcomes in ICH after adjustment for other confounders. The IDI results indicated that the 5-day maximum stress hyperglycemia ratio had better predictive performance than glycemic gap and blood glucose level in-hospital mortality and 1-year mortality, and the predictive performance of the 5-day maximum stress hyperglycemia ratio was better than that of stress hyperglycemia ratio measured at admission. In the age-stratified subgroup analysis, the 5-day maximum stress hyperglycemia ratio was more sensitive in predicting long-term outcomes in the young subgroup than in the elderly subgroup. The 5-day maximum stress hyperglycemia ratio is strongly correlated with an elevated risk of mortality in ICH patients and displays a better predictive ability than glycemic gap and blood glucose level in the short/long-term prognosis of ICH.

Predicting the impact of stress-induced hyperglycemia on in-hospital mortality in patients with chronic kidney disease and acute coronary syndrome: A retrospective study

BACKGROUND

Stress hyperglycemia is prevalent in critical illnesses and has been associated with adverse short- and long-term outcomes in individuals with acute coronary syndrome (ACS). However, there is limited evidence for the predictive value of stress hyperglycemia and hospitalization mortality in patients with chronic kidney disease (CKD) and ACS. This study aimed to explore the association between hospitalized mortality, stress hyperglycemia ratio (SHR), and admission blood glucose (ABG) in patients with CKD and ACS.

METHODS

This study included 655 hospitalized patients who were diagnosed with ACS and CKD. Patients with incomplete data were excluded, resulting in the analysis of 550 patients. The primary outcome measured was in-hospital mortality.

RESULTS

The median age of the cohort included in the analysis was 71 years, with a male proportion of 66.2 %, and a mean estimated glomerular filtration rate (eGFR) of 27.8 mL/min/1.73 m2. Patients classified as having stage 3, stage 4, and stage 5 chronic kidney disease (CKD) comprised 46.9 %, 17.1 %, and 36.0 % of the population, respectively. The overall in-hospital mortality rate was 10.7 % (n = 59). Both SHR (OR = 2.67; 95 % CI 1.51-4.74; p < 0.001) and ABG (OR = 1.09; 95 % CI 1.04-1.14; p < 0.001) were significantly associated with in-hospital mortality in CKD and ACS patients. SHR and ABG showed a linear relationship with in-hospital mortality, with SHR demonstrating superior reclassification ability over ABG. The inclusion of SHR or ABG, irrespective of diabetes mellitus status, substantially enhanced the predictive performance of the Global Registry of Acute Coronary Events (GRACE) score model.

CONCLUSIONS

In patients with ACS and CKD, a robust correlation was observed between SHR, ABG, and in-hospital mortality. Both SHR and ABG improved the predictive accuracy of the GRACE score in forecasting inpatient mortality in this population.

Hyperglycemia-Enhanced Neutrophil Extracellular Traps Drive Mucosal Immunopathology at the Oral Barrier

Type 2 diabetes (T2D) is a risk factor for mucosal homeostasis and enhances the susceptibility to inflammation, in which neutrophils have been increasingly appreciated for their role. Here, barrier disruption and inflammation are observed at oral mucosa (gingiva) of T2D patients and mice. It is demonstrated that neutrophils infiltrate the gingival mucosa of T2D mice and expel obvious neutrophil extracellular traps (NETs), while removal of NETs alleviates the disruption of mucosal barrier. Mechanistically, gingival neutrophils released NETs are dependent of their metabolic reprogramming. Under hyperglycemic condition, neutrophils elevate both glucose incorporation and glycolysis via increased expression of GLUT1. Moreover, significantly increased levels of NETs are observed in local gingival lesions of patients, which are associated with clinical disease severity. This work elucidates a causative link between hyperglycemia and oral mucosal immunopathology, mediated by the altered immuno-metabolic axis in neutrophil, thereby suggesting a potential therapeutic strategy.

Tight Versus Liberal Blood Glucose Control in Patients With Diabetes in the ICU: A Meta-Analysis of Randomized Controlled Trials

Introduction: Glycemia is an important factor among critically ill patients in the intensive care unit (ICU). There is conflicting evidence on the preferred strategy of blood glucose control among patients with diabetes in the ICU. We aimed to conduct a meta-analysis comparing tight with liberal blood glucose in critically ill patients with diabetes in the ICU. Methods: We systematically searched PubMed, Embase, and Cochrane Central for randomized controlled trials (RCTs) comparing tight versus liberal blood glucose control in critically ill patients with diabetes from inception to December 2023. We pooled odds-ratios (OR) and 95% confidence intervals (CI) with a random-effects model for binary endpoints. We used the Review Manager 5.17 and R version 4.3.2 for statistical analyses. Risk of bias assessment was performed with the Cochrane tool for randomized trials (RoB2). Results: Eight RCTs with 4474 patients were included. There was no statistically significant difference in all-cause mortality (OR 1.11; 95% CI 0.95-1.28; P = .18; I² = 0%) between a tight and liberal blood glucose control. RoB2 identified all studies at low risk of bias and funnel plot suggested no evidence of publication bias. Conclusion: In patients with diabetes in the ICU, there was no statistically significant difference in all-cause mortality between a tight and liberal blood glucose control. PROSPERO registration: CRD42023485032.

Effect of Hemoglobin and Blood Glucose Levels on CT Perfusion Ischemic Core Estimation: A Post Hoc Analysis of the ESCAPE-NA1 Trial

BACKGROUND AND OBJECTIVES

CT perfusion (CTP) maps can estimate the ischemic core in acute ischemic stroke based on distinctive cerebral blood flow thresholds. However, metabolic factors beyond perfusion influence the tissue tolerance to ischemia and the infarct growth rate. Underestimating the ischemic core volume (ICV) might result in overestimating the salvageable cerebral tissue and, consequently, overestimating the potential clinical benefits of reperfusion therapies. We aim to evaluate whether baseline hemoglobin and blood glucose levels influence the accuracy of baseline CTP ICV estimations.

METHODS

Large vessel occlusion stroke patients investigated with baseline CTP undergoing thrombectomy with near-complete reperfusion and without parenchymal hemorrhage from the ESCAPE-NA1 trial were included. Patients were subdivided into anemic (hemoglobin <130 g/L for men and <120 g/L for women) and nonanemic groups, and hyperglycemic (blood glucose level >7 mmol/L) and normoglycemic groups. Ischemic core underestimated volume (ICuV) was calculated: final infarct volume minus CTP-based ICV. The primary outcome was the presence of "perfusion scotoma" defined as ICuV ≥10 mL. Presence of "perfusion scotoma" and median ICuV were compared between anemic vs nonanemic and hyperglycemic vs normoglycemic patients using nonparametric tests and multivariable binary logistic regression with adjustment for baseline variables.

RESULTS

One hundred sixty-two of 1,105 (15%) patients were included (median age 70.5 [interquartile range (IQR) 61-80.4], 50.6% women). The median ICuV was 7.26 mL (IQR 0-25.63). Seventy-eight (48%) patients demonstrated perfusion scotoma. Forty-two (25.7%) patients were anemic, and 65 (40.1%) were hyperglycemic. In univariable analysis, the hyperglycemic group had a higher prevalence of perfusion scotoma (65% [n = 40] vs 39% [n = 38], p = 0.006) and larger ICuV (17.79 mL [IQR 1.57-42.75] vs 6 mL [-0.31 to 12.51], p = 0.003) compared to normoglycemic patients. No significant ICuV differences between patients with and without anemia were seen. Multivariable regression analysis revealed an association between perfusion scotoma and hyperglycemia, adjusted odds ratio (OR) 2.48 (95% CI 1.25-4.92), and between perfusion scotoma and blood glucose levels, adjusted OR 1.19 (95% CI 1.03-1.39) per 1 mmol/L increase.

DISCUSSION

In our study, CTP-based ischemic core underestimation was common and associated with higher baseline blood glucose levels. Individual metabolic factors beyond perfusion that critically influence the infarct growth rate should be considered when interpreting baseline CTP estimations of ischemic core.

Stress hyperglycemia is associated with early neurologic deterioration in patients with acute ischemic stroke after intravenous thrombolysis without hemorrhagic transformation

BACKGROUND

This aimed to elucidate the impact of stress hyperglycemia on early neurological deterioration (END) in patients with acute non-cardiogenic cerebral infarction who did not experience hemorrhagic transformation following intravenous thrombolysis to identify risk factors associated with END.

METHODS

This retrospective case-control study analyzed data from consecutive patients who received intravenous thrombolysis for acute ischemic stroke (AIS) without hemorrhagic transformation at the Stroke Center of The Fifth Affiliated Hospital of Sun Yat-sen University from January 2018 to February 2023. END was defined as an increase of more than 2 points on the National Institutes of Health Stroke Scale (NIHSS) within 7 days of admission.

RESULTS

A total of 250 patients (56 males, 22.4%) were included, with a mean age of 63.34 ± 12.90 years. Of them, 41 were classified into the END group and 209 into the non-END group. Stress hyperglycemia ratio (SHR) demonstrated a significant correlation with END (r=-0.003, P = 0.003). HbA1c (OR = 0.68, 95% CI: 0.481-0.921) and SHR (OR = 0.00, 95% CI: 0.0-0.051) were independently associated with END. Receiver-operating characteristic (ROC) curve analysis indicated that SHR had a sensitivity of 79.9%, specificity of 88.8%, and an area under the curve (AUC) of 0.857 for predicting END.

CONCLUSIONS

SHR was significantly associated with END in patients with acute non-cardioembolic cerebral infarction who did not undergo hemorrhagic transformation after intravenous thrombolysis.

Stress hyperglycemia ratio association with all-cause mortality in critically ill patients with coronary heart disease: an analysis of the MIMIC-IV database

Background The stress hyperglycemia ratio (SHR) indicates relative hyperglycemia levels. Research on the impact of SHR on mortality in coronary heart disease (CHD) patients in intensive care is limited. This study explores the predictive accuracy of SHR for the prognosis of CHD patients in the ICU. Methods This study included 2,059 CHD patients from the American Medical Information Mart for Intensive Care (MIMIC-IV) database. SHR was determined using the formula: SHR = (admission glucose) (mmol/L) / (1.59 * HbA1c [%] - 2.59). Subjects were stratified into quartiles based on SHR levels to examine the correlation between SHR and in-hospital mortality. The restricted cubic splines and Cox proportional hazards models were employed to assess this association, while Kaplan-Meier survival analysis was executed to ascertain the mortality rates across the SHR quartiles. Results Among the 2059 participants (1358 men), the rates of in-hospital and ICU mortality were 8.5% and 5.25%, respectively. Analysis showed SHR as a significant predictor of increased risk for both in-hospital (HR,1.16, 95% CI: 1.02-1.32, P = 0.022) and ICU mortality (HR, 1.16, 95% CI: 1.01-1.35, P = 0.040) after adjustments. A J-shaped relationship was noted between SHR and mortality risks (p for non-linearity = 0.002, respectively). Kaplan-Meier analysis confirmed substantial differences in in-hospital and ICU mortality across SHR quartiles. Conclusions SHR significantly predicts in-hospital and ICU mortality in critically ill CHD patients, indicating that higher SHR levels correlate with longer ICU stays and increased mortality. This underscores the potential of SHR as a prognostic marker for ICU CHD patients.

The association between stress hyperglycemia ratio with mortality in critically ill patients with acute heart failure

Background

It's recognized that stress hyperglycemia ratio (SHR) is considered a significant indicator of poor prognosis in many diseases. However, its role in critically ill patients with acute heart failure (acute HF) remains underexplored.

Methods

We conducted a retrospective cohort study on patients with acute HF included in the Medical Information Mart for Intensive Care IV (MIMIC-IV) version 2.2 database. A restricted cubic spline (RCS) regression analysis was used to explore the relationship between SHR and the risk of all-cause mortality in these patients. Subsequently, a Cox regression model was used to evaluate the relationship between SHR and mortality in acute HF patients.

Results

A total of 1,644 acute HF patients were included in the study and divided into two groups: the low SHR group (SHR < 1.06, N = 823) and the high SHR group (SHR ≥ 1.06, N = 821). In our study, the 30-day, 90-day, 180-day, and 365-day mortality rates for acute HF were 7.0%, 12%, 15%, and 19%, respectively, with higher mortality rates observed in the high SHR group compared to the low SHR group. SHR levels showed a linear relationship with all-cause mortality. Furthermore, SHR as a continuous variable shows a significant positive correlation with 30-day (HR = 2.31, 95% CI: 1.58-3.39), 90-day (HR = 1.81, 95% CI: 1.31-2.52), 180-day (HR = 1.57, 95% CI: 1.16-2.12), and 365-day (HR = 1.41, 95% CI: 1.07-1.85) all-cause mortality. After categorization, high SHR remains associated with increased 30-day (HR = 2.4, 95% CI: 1.59-3.61), 90-day (HR = 1.76, 95% CI: 1.31-2.36), 180-day (HR = 1.51, 95% CI: 1.16-1.95), and 365-day (HR = 1.38, 95% CI: 1.09-1.73) all-cause mortality.

Conclusion

Our findings indicate that high SHR is an independent predictor of poor short- and long-term prognosis in acute HF patients. Understanding the impact of SHR on mortality in acute HF is crucial as it can assist clinicians in identifying high-risk patients and adjusting treatment strategies accordingly.

Stress hyperglycemia ratio is a risk factor for mortality in trauma and surgical intensive care patients: a retrospective cohort study from the MIMIC-IV

BACKGROUND

Stress hyperglycemia ratio (SHR) can reduce the impact of baseline glucose on the stress hyperglycemia level. Studies have shown that SHR is associated with adverse outcomes. However, its relationship with the prognosis of trauma/surgical ICU patients has not been fully studied. The objective of this study was to explore the relationship between SHR and the short-term and long-term mortality in trauma/surgical ICU patients.

METHODS

Clinical data of trauma/surgical ICU patients were extracted from MIMIC-IV. The primary outcome was 28-day all-cause mortality, and the secondary outcome was 365-day all-cause mortality. Boruta algorithm was used to screen the important features related to the 28-day mortality, and Kaplan-Meier curve, Cox proportional hazards regression, and restricted cubic spline were used to explore the relationship between SHR and clinical outcomes.

RESULTS

A total of 1744 patients were included, of whom 786 were male and 958 were female. The 28-day and 365-day mortality rates were 14.7% and 27.2%, respectively. Multivariate Cox proportional hazards analysis showed that an increase in SHR was significantly associated with an increased risk of 28-day mortality [HR (95% CI) 1.30 (1.07, 1.58), p = 0.009] and 365-day mortality [HR (95% CI) 1.05 (1.02-1.09), p = 0.005]. Restricted cubic spline curve showed that the relationship between SHR and survival rate was "U-shaped".

CONCLUSIONS

Increase in SHR is associated with an increased risk of 28-day and 365-day all-cause mortality in trauma/surgical ICU patients.

The association between the stress hyperglycaemia ratio and mortality in cardiovascular disease: a meta-analysis and systematic review

BACKGROUND

A raised stress hyperglycaemia ratio (SHR) has been associated with all-cause mortality and may better discriminate than an absolute glucose value. The aim of this meta analysis and systematic review is to synthesise the evidence assessing the relationship between the SHR and all-cause mortality across three common cardiovascular presentations.

METHODS

We undertook a comprehensive search of Medline, Embase, Cochrane CENTRAL and Web of Science from the date of inception to 1st March 2024, and selected articles meeting the following criteria: studies of patients hospitalised for acute myocardial infarction, ischaemic stroke or acute heart failure reporting the risk (odds ratio or hazard ratio) for all-cause mortality associated with the SHR. A random effects model was used for primary analysis. Subgroup analysis by diabetes status and of mortality in the short and long term was undertaken. Risk of bias assessment was performed using the Newcastle Ottawa quality assessment scale.

RESULTS

A total of 32 studies were included: 26 studies provided 31 estimates for the meta-analysis. The total study population in the meta analysis was 80,010. Six further studies were included in the systematic review. Participants admitted to hospital with cardiovascular disease and an SHR in the highest category had a significantly higher risk ratio of all-cause mortality in both the short and longer term compared with those with a lower SHR (RR = 1.67 [95% CI 1.46-1.91], p < 0.001). This finding was driven by studies in the myocardial infarction (RR = 1.75 [95% CI 1.52-2.01]), and ischaemic stroke cohorts (RR = 1.78 [95% CI 1.26-2.50]). The relationship was present amongst those with and without diabetes (diabetes: RR 1.49 [95% CI 1.14-1.94], p < 0.001, no diabetes: RR 1.85 [95% CI 1.49-2.30], p < 0.001) with p = 0.21 for subgroup differences, and amongst studies that reported mortality as a single outcome (RR of 1.51 ([95% CI 1.29-1.77]; p < 0.001) and those that reported mortality as part of a composite outcome (RR 2.02 [95% CI 1.58-2.59]; p < 0.001). On subgroup analysis by length of follow up, higher SHR values were associated with increased risk of mortality at 90 day, 1 year and > 1year follow up, with risk ratios of 1.84 ([95% CI 1.32-2.56], p < 0.001), 1.69 ([95% CI 1.32-2.16], p < 0.001) and 1.58 ([95% CI 1.34-1.86], p < 0.001) respectively.

CONCLUSIONS

A raised SHR is associated with an increased risk of all-cause mortality following myocardial infarction and ischaemic stroke. Further work is required to define reference values for the SHR, and to investigate the potential effects of relative hypoglycaemia. Interventional trials targeting to the SHR rather than the absolute glucose value should be undertaken.

PROSPERO DATABASE REGISTRATION

CRD 42023456421 https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42023456421.

The prognostic significance of stress hyperglycemia ratio for all-cause and cardiovascular mortality in metabolic syndrome patients: prospective cohort study

OBJECTIVE

The stress hyperglycemia ratio (SHR) is a new biomarker indicating acute hyperglycemia and predicting adverse outcomes in different conditions. Yet, its impact on metabolic syndrome (MetS) has not been studied. We explored the link between SHR and long-term all-cause and cardiovascular disease (CVD) mortality in MetS patients.

METHODS

We conducted a large prospective cohort study involving 9438 participants diagnosed with MetS, drawn from the 1999-2018 NHANES. MetS diagnosis was based on NCEP-ATPIII criteria. Participants were categorized into three groups based on SHR tertiles: T1 (SHR ≤ 0.890), T2 (SHR 0.890-0.992), and T3 (SHR ≥ 0.992). Cox regression and Kaplan-Meier curve analyses assessed the correlation between SHR and mortalities. Non-linear correlations were explored using restricted cubic splines, and stratification analysis was performed.

RESULTS

Out of 9438 MetS patients, 1929 deaths occurred during an average follow-up of 107 ± 64 months, including 541 CVD deaths. All-cause and CVD mortality rates were significantly higher with elevated SHR values (T3) than lower tertiles (23.4% vs. 19.5% and 18.3%, P < 0.001; 6.8% vs. 5.3% and 5.1%, P = 0.007, respectively). A U-shaped relationship was observed between SHR and all-cause and CVD mortality (all P for non-linear < 0.001). Kaplan-Meier analysis indicated higher SHR values associated with increased risk of all-cause and CVD mortality (all log-rank P < 0.001). After adjusting for confounders, multivariate Cox regression showed SHR remained associated with a 1.256-fold and 1.023-fold risk of all-cause and CVD mortality.

CONCLUSIONS

SHR independently correlates with all-cause and CVD mortality in MetS patients, displaying a U-shaped relationship with clinical endpoints.

Association between stress hyperglycemia ratio and postoperative major adverse cardiovascular and cerebrovascular events in noncardiac surgeries: a large perioperative cohort study

BACKGROUND

There has been a concerning rise in the incidence of major adverse cardiovascular and cerebrovascular events (MACCE) following noncardiac surgeries (NCS), significantly impacting surgical outcomes and patient prognosis. Glucose metabolism abnormalities induced by stress response under acute medical conditions may be a risk factor for postoperative MACCE. This study aims to explore the association between stress hyperglycemia ratio (SHR) and postoperative MACCE in patients undergoing general anesthesia for NCS.

METHODS

There were 12,899 patients in this perioperative cohort study. The primary outcome was MACCE within 30 days postoperatively, defined as angina, acute myocardial infarction, cardiac arrest, arrhythmia, heart failure, stroke, or in-hospital all-cause mortality. Kaplan-Meier curves visualized the cumulative incidence of MACCE. Cox proportional hazard models were utilized to assess the association between the risk of MACCE and different SHR groups. Restricted cubic spline analyses were conducted to explore potential nonlinear relationships. Additionally, exploratory subgroup analyses and sensitivity analyses were performed.

RESULTS

A total of 592 (4.59%) participants experienced MACCE within 30 days after surgery, and 1,045 (8.10%) within 90 days. After adjusting for confounding factors, compared to the SHR T2 group, the risk of MACCE within 30 days after surgery increased by 1.34 times (95% CI 1.08-1.66) in the T3 group and by 1.35 times (95% CI 1.08-1.68) in the T1 group respectively. In the non-diabetes group, the risk of MACCE within 30 days after surgery increased by 1.60 times (95% CI 1.21-2.12) in the T3 group and by 1.61 times (95% CI 1.21-2.14) in the T1 group respectively, while no statistically significant increase in risk was observed in the diabetes group. Similar results were observed within 90 days after surgery in the non-diabetes group. Additionally, a statistically significant U-shaped nonlinear relationship was observed in the non-diabetes group (30 days: P for nonlinear = 0.010; 90 days: P for nonlinear = 0.008).

CONCLUSION

In this large perioperative cohort study, we observed that both higher and lower SHR were associated with an increased risk of MACCE within 30 and 90 days after NCS, especially in patients without diabetes. These findings suggest that SHR potentially plays a key role in stratifying cardiovascular and cerebrovascular risk after NCS.

Prognostic value of the stress-hyperglycaemia ratio in patients with moderate-to-severe coronary artery calcification: Insights from a large cohort study

AIM

To evaluate the relationship between the stress-hyperglycaemia ratio (SHR) and the clinical prognosis of patients with moderate-to-severe coronary artery calcification (MSCAC).

METHODS

We consecutively enrolled 3841 patients with angiography-detected MSCAC. The individuals were categorized into three groups based on SHR tertiles: T1 (SHR ≤ 0.77), T2 (0.77 < SHR ≤ 0.89) and T3 (SHR > 0.89). The SHR value was calculated using the formula SHR = [admission glucose (mmol/L)]/[1.59 × HbA1c (%) - 2.59]. The primary outcomes were major adverse cardiovascular and cerebrovascular events (MACCEs), including all-cause death, non-fatal myocardial infarction and non-fatal stroke.

RESULTS

During a median follow-up of 3.11 years, 241 MACCEs were recorded. Kaplan-Meier survival analysis showed that the SHR T3 group had the highest incidence of MACCEs (P < .001). Moreover, findings from the restricted cubic spline analysis showed a significant and positive association between the SHR and MACCEs. This correlation remained consistent even after considering other variables that could potentially impact the results (Pnon-linear = .794). When comparing SHR T1 with SHR T3, it was found that SHR T3 was significantly associated with an increased risk of the primary outcome (adjusted hazard ratio = 1.50; 95% confidence interval: 1.10-2.03).

CONCLUSIONS

Patients with MSCAC showed a positive correlation between the SHR and MACCE rate over a 3-year follow-up period. The study showed that an SHR value of 0.83 is the key threshold, indicating a poor prognosis. Future large-scale multicentre investigations should be conducted to determine the predictive value of the SHR in patients with MSCAC.

The prognostic impact of stress hyperglycemia ratio for all-cause mortality in patients with Psoriasis

Aims The stress hyperglycemia ratio (SHR) is a valuable biomarker of acute hyperglycemia, significantly correlated with unfavorable prognosis in various conditions. However, its impact on Psoriasis has not been studied. We explored the association between SHR and long-term mortality in psoriasis patients. Methods We conducted a prospective cohort study with 288 psoriasis patients from the 2003-2006 and 2009-2014 NHANES. Participants were divided into three groups based on SHR tertiles: T1 (SHR ≤ 0.870), T2 (SHR 0.870-0.958), and T3 (SHR ≥ 0.958). Cox regression and Kaplan-Meier analyses assessed the correlation between SHR and mortality, while restricted cubic splines explored non-linear correlations. ROC analyses determined the optimal SHR cut-off value for predicting clinical outcomes. Results Out of 288 Psoriasis patients, 38 all-cause deaths occurred during an average follow-up of 112.13 ± 45.154 months. Kaplan-Meier analysis indicated that higher SHR values were linked to an increased risk of all-cause mortality (log-rank P = 0.049). A U-shaped relationship was observed between SHR and all-cause mortality (P for non-linear = 0.028). Spearman correlation revealed significant associations between SHR and WC, BMI, neutrophil, monocyte, lymphocyte counts, SCr, uric acid, DM and MetS (all P < 0.05). After adjusting for confounders, multivariate Cox regression showed that SHR was associated with a 10.937-fold risk of all-cause mortality. ROC curve analysis identified an optimal SHR cut-off value of 1.045 for predicting long-term all-cause mortality in psoriasis patients. Conclusions Elevated SHR value independently correlates with all-cause mortality in Psoriasis patients, displaying a U-shaped relationship with clinical endpoints. An optimal SHR cut-off value of 1.045 has been determined for predicting clinical outcomes.