'Stress hyperglycemia ratio and in-hospital prognosis in non-surgical patients with heart failure and type 2 diabetes

Stress hyperglycemia ratio and the clinical outcome of patients with heart failure: a meta-analysis

Background

Stress hyperglycemia ratio (SHR) is a newly suggested measure of stress-induced hyperglycemia that combines both short-term and long-term glycemic conditions. The study aimed to explore the association between SHR and the incidence of adverse clinical events with heart failure (HF) through a meta-analysis.

Methods

Cohort studies relevant to the aim of the meta-analysis were retrieved by search of electronic databases including PubMed, Web of Science, Embase, Wanfang, and CNKI. A random-effects model was used to combine the data by incorporating the influence of between-study heterogeneity.

Results

Ten studies involving 15250 patients with HF were included. Pooled results showed that compared to patients with lower SHR at baseline, those with a higher SHR were associated with an increased risk of all-cause mortality during follow-up (risk ratio [RR]: 1.61, 95% confidence interval [CI]: 1.17 to 2.21, p = 0.003; I2 = 82%). Further meta-regression analysis suggests that different in the cutoff of SHR significantly modify the results (coefficient = 1.22, p = 0.02), and the subgroup analysis suggested a more remarkable association between SHR and all-cause mortality in studies with cutoff of SHR ≥ 1.05 than those with cutoff of SHR < 1.05 (RR: 2.29 versus 1.08, p for subgroup difference < 0.001). Subsequent meta-analyses also showed that a high SHR at baseline was related to the incidence of cardiovascular death (RR: 2.19, 95% CI: 1.55 to 3.09, p < 0.001; I2 = 0%), HF-rehospitalization (RR: 1.83, 95% CI: 1.44 to 2.33, p < 0.001; I2 = 0%), and major adverse cardiovascular events (RR: 1.54, 95% CI: 1.15 to 2.06, p = 0.004; I2 = 74%) during follow-up.

Conclusion

A high SHR at baseline is associated with a poor clinical prognosis of patients with HF.

Systematic review registration

https://inplasy.com, identifier INPLASY202430080.

Relationship between stress hyperglycemia and worsening heart failure in patients with significant secondary mitral regurgitation

BACKGROUND AND AIMS

Secondary mitral regurgitation (sMR), a major valvular disease, is prevalent in patients with coronary artery disease (CAD), and is associated with higher incidence of heart failure (HF) and mortality when present in combination with abnormal glucose metabolism. We aimed to evaluate the relationship between stress hyperglycemia ratio (SHR) and worsening HF in CAD patients with significant (grade ≥2) sMR.

METHODS

We performed a multi-center observational study of 874 participants with significant sMR following percutaneous coronary intervention (PCI) in the Cardiorenal Improvement-II (CIN-II) cohort. Patients with glucose and glycated hemoglobin (HbA1c) data at admission were included in the analysis, and categorized according to the SHR, the ratio of mmol/L blood glucose to % HbA1c, as quartiles: Q1: <0.74; Q2: 0.74-0.91; Q3: 0.91-1.14; and Q4: ≥1.14. The primary clinical endpoint was worsening HF and the secondary endpoint was major adverse cardiac events (MACE).

RESULTS

Of the 874 participants (64.1 ± 10.8 years, 80% male), 174 showed worsening HF and 226 developed MACE during a median follow-up of 3.7 years (interquartile range: 1.8-6.2 years). Compared to participants in the lowest quartile (Q1) of SHR, the highest quartile group (Q4) was at significantly higher risks of worsening HF (adjusted hazard ratio, 2.44; 95% confidence interval, 1.51-3.94; p< 0.001), while this was not associated with increased risk of MACE (p>0.05) after adjustment for potential covariates. For worsening HF, the results obtained for the normal glucose regulation subgroup may be more meaningful than those for the diabetes mellitus (DM) and pre-DM groups (p-interaction<0.001). For MACE, the acute myocardial infarction (AMI) (Q4 vs. Q1; HR: 0.65, 95%CI: 0.26-1.59) and non-AMI (Q4 vs. Q1; HR: 2.20, 95%CI: 1.36-3.54) subgroups differed significantly on MACE (p-interaction = 0.006).

CONCLUSIONS

Increasing SHR is associated with a higher risk of worsening of HF in patients with significant sMR, especially in those with normoglycemia.

Association between stress hyperglycemia ratio with short-term and long-term mortality in critically ill patients with ischemic stroke

AIMS

Hyperglycemia on admission is associated with poor prognosis in ischemic stroke (IS) patients. We aimed to investigate the relationship between stress hyperglycemia ratio (SHR) and short-term or long-term mortality in IS patients in the ICU and to explore whether this relationship is influenced by diabetes status.

MATERIALS AND METHODS

We collected patients with severe IS requiring ICU admission in the Medical Information Mart for Intensive Care (MIMIC-IV) database and calculated SHR. Outcomes included 30-day, 90-day, and 1-year mortality. The association between SHR and mortality in patients with critical IS was elucidated using Multivariate Cox regression and subgroup analysis for diabetes.

RESULTS

A total of 1376 patients were recruited. After adjusting for potential confounders, patients in the third and fourth quartiles had a significantly increased risk of death at 30 days, 90 days, and 1 year compared to the first quartile of SHR (Q3 vs. Q1: HR 1.56-1.80, all p < 0.02; Q4 vs. Q1: HR 1.75-2.15, all p < 0.001; all p for trend < 0.001). In addition, the highest quartile of SHR was significantly associated with short-term or long-term mortality compared with the first quartile, regardless of diabetes status.

CONCLUSIONS

Our results suggest that stress hyperglycemia, defined by the glucose/HbA1c ratio, is associated with increased short-term and long-term mortality in patients with ischemic stroke, independent of the patient's diabetes status.

Association of the stress hyperglycemia ratio with coronary artery disease complexity as assessed by the SYNTAX score in patients with acute coronary syndrome

BACKGROUND

Mounting evidence supports a significant correlation between the stress hyperglycemia ratio (SHR) and both short- and long-term prognoses in patients with acute coronary syndrome (ACS). Nevertheless, research examining the association between the SHR and the complexity of coronary artery disease (CAD) is scarce. Therefore, this study aimed to explore the association between the SHR and CAD complexity, as assessed by the SYNTAX score, in patients with ACS.

METHODS

A total of 4715 patients diagnosed with ACS were enrolled and divided into five groups according to the quintiles of the SHR. CAD complexity was assessed using the SYNTAX score and categorized as low (≤ 22) or mid/high (> 22) levels. Logistic regression was utilized to examine the association between the SHR and CAD severity (mid-/high SYNTAX score). Restricted cubic spline (RCS) curves were generated to assess the association between the SHR and CAD severity. Subgroup analyses were conducted to stratify outcomes based on age, sex, diabetes mellitus (DM) status, and clinical presentation.

RESULTS

Among the total ACS population, 503 (10.7%) patients had mid/high SYNTAX scores. Logistic regression analysis revealed that the SHR was an independent risk factor for mid/high SYNTAX scores in a U-shaped pattern. After adjusting for confounding variables, Q1 and Q5 demonstrated elevated odds ratios (ORs) relative to the reference category Q3, with ORs of 1.61 (95% CI: 1.19 ∼ 2.19) and 1.68 (95% CI: 1.24 ∼ 2.29), respectively. Moreover, the ORs for Q2 (1.02, 95% CI: 0.73 ∼ 1.42) and Q4 (1.18, 95% CI: 0.85 ∼ 1.63) resembled that of Q3. Compared with the merged Q2-4 group, the ORs were 1.52 (95% CI: 1.21 ∼ 1.92) for Q1 group and 1.58 (95% CI: 1.25 ∼ 2) for the Q5 group. Subgroup analysis revealed that the U-shaped association between the SHR and mid/high SYNTAX score was attenuated in DM patients (P for interaction = 0.045).

CONCLUSIONS

There were U-shaped associations between the SHR and CAD complexity in ACS patients, with an SHR ranging from 0.68 to 0.875 indicating a relatively lower OR for mid/high SYNTAX scores. Further studies are necessary to both evaluate the predictive value of the SHR in ACS patients and explore the underlying mechanisms of the observed U-shaped associations.

Association of stress hyperglycemia ratio with left ventricular function and microvascular obstruction in patients with ST-segment elevation myocardial infarction: a 3.0 T cardiac magnetic resonance study

BACKGROUND

Stress hyperglycemia, which is associated with poor prognosis in patients with acute myocardial infarction (AMI), can be determined using the stress hyperglycemia ratio (SHR). Impaired left ventricular function and microvascular obstruction (MVO) diagnosed using cardiac magnetic resonance (CMR) have also been proven to be linked to poor prognosis in patients with AMI and aid in risk stratification. However, there have been no studies on the correlation between fasting SHR and left ventricular function and MVO in patients with acute ST-segment elevation myocardial infarction (ASTEMI). Therefore, this study aimed to investigate the additive effect of fasting SHR on left ventricular function and global deformation in patients with ASTEMI and to explore the association between fasting SHR and MVO.

METHODS

Consecutive patients who underwent CMR at index admission (3-7 days) after primary percutaneous coronary intervention (PPCI) were enrolled in this study. Basic clinical, biochemical, and CMR data were obtained and compared among all patients grouped by fasting SHR tertiles: SHR1: SHR < 0.85; SHR2: 0.85 ≤ SHR < 1.01; and SHR3: SHR ≥ 1.01. Spearman's rho (r) was used to assess the relationship between fasting SHR and left ventricular function, myocardial strain, and the extent of MVO. Multivariable linear regression analysis was performed to evaluate the determinants of left ventricular function and myocardial strain impairment in all patients with AMI. Univariable and multivariable regression analyses were performed to investigate the correlation between fasting SHR and the presence and extent of MVO in patients with AMI and those with AMI and diabetes mellitus (DM).

RESULTS

A total of 357 patients with ASTEMI were enrolled in this study. Left ventricular ejection fraction (LVEF) and left ventricular global function index (LVGFI) were significantly lower in SHR2 and SHR3 than in SHR1. Compared with SHR1 and SHR2 groups, left ventricular strain was lower in SHR3, as evidenced by global radial (GRS), global circumferential (GCS), and global longitudinal (GLS) strains. Fasting SHR were negatively correlated with LVEF, LVGFI, and GRS (r = - 0.252; r = - 0.261; and r = - 0.245; all P<0.001) and positively correlated with GCS (r = 0.221) and GLS (r = 0.249; all P <0.001). Multivariable linear regression analysis showed that fasting SHR was an independent determinant of impaired LVEF, LVGFI, GRS, and GLS. Furthermore, multivariable regression analysis after adjusting for covariates signified that fasting SHR was associated with the presence and extent of MVO in patients with AMI and those with AMI and DM.

CONCLUSION

Fasting SHR in patients with ASTEMI successfully treated using PPCI is independently associated with impaired cardiac function and MVO. In patients with AMI and DM, fasting SHR is an independent determinant of the presence and extent of MVO.

Impact of stress hyperglycemia ratio on mortality in patients with cardiac arrest: insight from American MIMIC-IV database

Background

Stress hyperglycemia ratio (SHR) has shown a predominant correlation with transient adverse events in critically ill patients. However, there remains a gap in comprehensive research regarding the association between SHR and mortality among patients experiencing cardiac arrest and admitted to the intensive care unit (ICU).

Methods

A total of 535 patients with their initial ICU admission suffered cardiac arrest, according to the American Medical Information Mart for Intensive Care (MIMIC)-IV database. Patients were stratified into four categories based on quantiles of SHR. Multivariable Cox regression models were used to evaluate the association SHR and mortality. The association between SHR and mortality was assessed using multivariable Cox regression models. Subgroup analyses were conducted to determine whether SHR influenced ICU, 1-year, and long-term all-cause mortality in subgroups stratified according to diabetes status.

Results

Patients with higher SHR, when compared to the reference quartile 1 group, exhibited a greater risk of ICU mortality (adjusted hazard ratio [aHR] = 3.029; 95% CI: 1.802-5.090), 1-year mortality (aHR = 3.057; 95% CI: 1.885-4.958), and long-term mortality (aHR = 3.183; 95% CI: 2.020-5.015). This association was particularly noteworthy among patients without diabetes, as indicated by subgroup analysis.

Conclusion

Elevated SHR was notably associated with heightened risks of ICU, 1-year, and long-term all-cause mortality among cardiac arrest patients. These findings underscore the importance of considering SHR as a potential prognostic factor in the critical care management of cardiac arrest patients, warranting further investigation and clinical attention.

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.

Associations between cardiometabolic indices and the risk of diabetic kidney disease in patients with type 2 diabetes

BACKGROUND

This study was designed to assess the associations between emerging cardiometabolic indices-the atherogenic index of plasma (AIP), the stress hyperglycemia ratio (SHR), the triglyceride-glucose (TyG) index, and the homeostasis model assessment of insulin resistance (HOMA-IR)-and the incidence of diabetic kidney disease (DKD) in type 2 diabetes (T2D) patients.

METHODS

We consecutively enrolled 4351 T2D patients. The AIP, SHR, TyG index, and HOMA-IR were calculated from baseline parameters. DKD was defined as a urine albumin/creatinine ratio > 30 mg/g or an eGFR < 60 mL/min per 1.73 m. All participants were categorized into tertiles based on the cardiometabolic indices. Multivariate logistic regression models, restricted cubic splines, and receiver operating characteristic (ROC) curves were used for analysis.

RESULTS

A total of 1371 (31.5%) patients were diagnosed with DKD. A restricted cubic spline showed a J-shaped association of the AIP and TyG index with DKD, a log-shaped association between HOMA-IR and DKD, and a U-shaped association between the SHR and DKD incidence. Multivariate logistic regression revealed that individuals in the highest tertile of the four cardiometabolic indices had a significantly greater risk of DKD than did those in the lowest tertile (AIP: OR = 1.08, 95% CI = 1.02-1.14, P = 0.005; SHR: OR = 1.42, 95% CI = 1.12-1.81, P = 0.004; TyG index: OR = 1.86, 95% CI = 1.42-2.45, P < 0.001; HOMA-IR: OR = 2.24, 95% CI = 1.52-3.30, P < 0.001). The receiver operating characteristic curves showed that the HOMA-IR score was better than other indices at predicting the risk of DKD, with an optimal cutoff of 3.532.

CONCLUSIONS

Elevated AIP, SHR, TyG index and HOMA-IR are associated with a greater risk of DKD in patients with T2D. Among these indices, the HOMA-IR score demonstrated the strongest association with and predictive value for DKD incidence.

Association between stress hyperglycemia ratio and diabetes mellitus mortality in American adults: a retrospective cohort study and predictive model establishment based on machine learning algorithms (NHANES 2009-2018)

BACKGROUND

Stress hyperglycemia is a physiological response of the body under stress to make adaptive adjustments in response to changes in the internal environment. The stress hyperglycemia ratio (SHR) is a new indicator after adjusting the basal blood glucose level of the population. Previous studies have shown that SHR is associated with poor prognosis in many diseases, such as cardiovascular and cerebrovascular diseases and delirium in elderly patients. However, there are currently no studies on the correlation between SHR and the general U.S.

POPULATION

The purpose of this study was to examine the association between SHR and adverse outcomes among adults in the United States in general.

METHODS

Data on 13,315 follow-up cohorts were extracted from NHANES. The study population was divided into four groups according to quartiles of SHR. The primary outcomes were all-cause mortality and diabetes mellitus mortality. The relationship between SHR and outcomes was explored using restricted cubic splines, COX proportional hazards regression, Kaplan-Meier curves, and mediation effects. SHR is incorporated into eight machine learning algorithms to establish a prediction model and verify the prediction performance.

RESULTS

A total of 13,315 individual data were included in this study. Restricted cubic splines demonstrated a "U-shaped" association between SHR and all-cause mortality and diabetes mellitus mortality, indicating that increasing SHR is associated with an increased risk of adverse events. Compared with lower SHR, higher SHR was significantly associated with an increased risk of all cause mortality and diabetes mellitus mortality (HR > 1, P < 0.05). The mediating effect results showed that the positively mediated variables were segmented neutrophils and aspartate aminotransferase, and the negatively mediated variables were hemoglobin, red blood cell count, albumin, and alanine aminotransferase. The ROC of the eight machine learning algorithm models are XGBoost (0.8688), DT (0.8512), KNN (0.7966), RF (0.8417), Logistic regression (0.8633), ENET (0.8626), SVM (0.8327) and MLP (0.8662).

CONCLUSION

SHR can be used as a predictor of all cause mortality and diabetes mellitus mortality in the general adult population in the United States. Higher SHR is significantly associated with an increased risk of poor prognosis, especially in those aged < 65 years and in women.

Stress hyperglycemia ratio linked to worse prognosis in Cardiac Intensive Care Unit patients: A retrospective observational study

AIMS

This study aimed to delineate correlation between stress hyperglycemia ratio (SHR) and clinical outcomes among patients in the cardiac intensive care unit (CICU).

METHODS

Participants were categorized based on their SHR threshold values. Key outcomes were short-term mortality and major adverse cardiovascular events (MACEs) at 1-year follow-up. The association between SHR and outcomes was estimated using inverse probability of treatment weighting (IPTW) and Kaplan-Meier analyses. The C-statistic was used to gauge the predictive capability of SHR.

RESULTS

The study included 1,133 patients from the Medical Information Mart for Intensive Care IV and 412 from the Second Affiliated Hospital of Wenzhou Medical University. Kaplan-Meier curves revealed that individuals with elevated SHR exhibited higher 90-day mortality and MACEs. When considering SHR levels and diabetes status simultaneously, those with increased SHR but non-diabetes had the highest 90-day mortality and MACEs. SHR was associated with short-term mortality and MACEs (HRadjusted 1.63 95%CI 1.15-2.30; HRIPTW 1.47 95%CI 1.05-2.05). Upon integrating SHR into the foundational model, the C-statistic was 0.821, outperforming other hyperglycemia metrics.

CONCLUSION

SHR is a valuable indicator for predicting poor outcomes in CICU patients. Its utility spans potential risk stratification and offers insights for tailoring prognostic treatments to CICU patients.

Stress hyperglycemia ratio as a prognostic indicator for long-term adverse outcomes in heart failure with preserved ejection fraction

BACKGROUND

Recent studies highlighted that stress hyperglycemia ratio (SHR) is a potential predictor for future risk in heart failure (HF) patients. However, its implications specifically in HF with preserved ejection fraction (HFpEF) are not yet fully elucidated. We aimed to investigate the association between SHR and long-term clinical outcomes in HFpEF patients.

METHODS

HFpEF patients enrolled between 2015 and 2023, were followed (mean 41 months) for a composite outcome of all-cause, cardiovascular mortality, and HF rehospitalization. SHR was established as the ratio of acute-chronic glycemia from admission blood glucose and glycated hemoglobin. The optimal cut-off for SHR to predict outcomes based on event prediction was determined through ROC analysis, and the cutoff was identified at 0.99. The effect of SHR on adverse risk was examined through the Cox hazards and Kaplan-Meier survival methods. A Pearson correlation analysis was conducted to assess the relationship between SHR and the severity of HF, as indicated by N-terminal pro-brain natriuretic peptide (NT-proBNP) levels. Furthermore, the incremental prognostic value of SHR was further assessed by the integrated discrimination improvement (IDI) and the net reclassification improvement (NRI).

RESULTS

Among the 400 enrolled patients, 190 individuals (47.5%) encountered composite events over the 41-month follow-up period. SHR was significantly elevated in patients with events compared with those without (p < 0.001). All patients were stratified into high SHR (n = 124) and low SHR (n = 276) groups based on the SHR cutoff. The high SHR group had a significantly higher incidence of adverse events than the low SHR group (log-rank; p < 0.001). Additional analysis indicated a poorer prognosis in patients with low left ventricular EF (LVEF) levels (50 < LVEF < 60) and high SHR (SHR > 0.99) in comparison to the other groups (log-rank p < 0.001). In adjusted analysis, after accounting for age, sex, diabetes, and NT-proBNP, elevated SHR remained independently predictive of adverse outcomes (adjusted HR: 2.34, 95% CI 1.49-3.67; p < 0.001). Furthermore, adding SHR to a model with MAGGIC score provided an incremental improvement in predicting adverse events. Additionally, SHR displayed a slight correlation with NT-proBNP.

CONCLUSION

Elevated SHR was independently associated with an increased risk for composite events of all-cause, cardiovascular mortality, and HF readmission than those with lower SHR. SHR is a valuable tool for predicting and stratifying long-term adverse risks among HFpEF patients.

Association between fasting stress hyperglycemia ratio and contrast-induced acute kidney injury in coronary angiography patients: a cross-sectional study

Aims

Stress hyperglycemia ratio (SHR), an emerging indicator of critical illness, exhibits a significant association with adverse cardiovascular outcomes. The primary aim of this research endeavor is to evaluate the association between fasting SHR and contrast-induced acute kidney injury (CI-AKI).

Methods

This cross-sectional study comprised 3,137 patients who underwent coronary angiography (CAG) or percutaneous coronary intervention (PCI). The calculation of fasting SHR involved dividing the admission fasting blood glucose by the estimated mean glucose obtained from glycosylated hemoglobin. CI-AKI was assessed based on elevated serum creatinine (Scr) levels. To investigate the relationship between fasting SHR and the proportion of SCr elevation, piecewise linear regression analysis was conducted. Modified Poisson's regression analysis was implemented to evaluate the correlation between fasting SHR and CI-AKI. Subgroup analysis and sensitivity analysis were conducted to explore result stability.

Results

Among the total population, 482 (15.4%) patients experienced CI-AKI. Piecewise linear regression analysis revealed significant associations between the proportion of SCr elevation and fasting SHR on both sides (≤ 0.8 and > 0.8) [β = -12.651, 95% CI (-23.281 to -2.022), P = 0.020; β = 8.274, 95% CI (4.176 to 12.372), P < 0.001]. The Modified Poisson's regression analysis demonstrated a statistically significant correlation between both the lowest and highest levels of fasting SHR and an increased incidence of CI-AKI [(SHR < 0.7 vs. 0.7 ≤ SHR < 0.9) β = 1.828, 95% CI (1.345 to 2.486), P < 0.001; (SHR ≥ 1.3 vs. 0.7 ≤ SHR < 0.9) β = 2.896, 95% CI (2.087 to 4.019), P < 0.001], which was further validated through subgroup and sensitivity analyses.

Conclusion

In populations undergoing CAG or PCI, both lowest and highest levels of fasting SHR were significantly associated with an increased occurrence of CI-AKI.

Impact of stress hyperglycemia ratio, derived from glycated albumin or hemoglobin A1c, on mortality among ST-segment elevation myocardial infarction patients

BACKGROUND

Stress hyperglycemia ratio (SHR), associated with adverse outcomes in patients with ST-segment elevation myocardial infarction (STEMI), has several definitions. This study aims to assess the prognostic value of SHR, derived from hemoglobin A1c (HbA1c) or glycated albumin (GA), to mortality.

METHODS

The study comprised 1,643 STEMI patients who underwent percutaneous coronary intervention (PCI) in two centers. SHR1 was calculated using fasting blood glucose (FBG)/GA, while SHR2 was calculated using the formula FBG/(1.59*HbA1c-2.59). The primary endpoints were in-hospital death and all-cause mortality, with a median follow-up duration of 1.56 years.

RESULTS

Higher SHR1 and SHR2 values are associated with increased risks of in-hospital death and all-cause mortality. Each standard deviation increase in SHR1 corresponded to a 39% and 22% escalation in in-hospital death and all-cause mortality, respectively. The respective increases for SHR2 were 51% and 26%. Further examinations validated these relationships as linear. Additionally, the areas under the curve (AUC) for in-hospital death were not significantly different between SHR1 and SHR2 (p > 0.05). Incorporating SHR1 or SHR2 into the base model significantly improved the discrimination and risk reclassification for in-hospital and all-cause mortality. A subgroup analysis revealed that the effects of SHR1 and SHR2 were more pronounced in patients with hypercholesteremia.

CONCLUSION

SHR1 and SHR2 have emerged as robust and independent prognostic markers for STEMI patients undergoing PCI. The SHR calculation based on either HbA1c or GA can provide additional predictive value for mortality beyond traditional risk factors, helping to identify high-risk STEMI patients.

Prognostic significance of the stress hyperglycemia ratio in critically ill patients

BACKGROUND

The stress hyperglycemia ratio (SHR) has demonstrated a noteworthy association with unfavorable cardiovascular clinical outcomes and heightened in-hospital mortality. Nonetheless, this relationship in critically ill patients remains uncertain. This study aims to elucidate the correlation between SHR and patient prognosis within the critical care setting.

METHODS

A total of 8978 patients admitted in intensive care unit (ICU) were included in this study. We categorized SHR into uniform groups and assessed its relationship with mortality using logistic or Cox regression analysis. Additionally, we employed the restricted cubic spline (RCS) analysis method to further evaluate the correlation between SHR as a continuous variable and mortality. The outcomes of interest in this study were in-hospital and 1-year all-cause mortality.

RESULTS

In this investigation, a total of 825 (9.2%) patients experienced in-hospital mortality, while 3,130 (34.9%) individuals died within the 1-year follow-up period. After adjusting for confounding variables, we identified a U-shaped correlation between SHR and both in-hospital and 1-year mortality. Specifically, within the SHR range of 0.75-0.99, the incidence of adverse events was minimized. For each 0.25 increase in the SHR level within this range, the risk of in-hospital mortality rose by 1.34-fold (odds ratio [OR]: 1.34, 95% CI: 1.25-1.44), while a 0.25 decrease in SHR within 0.75-0.99 range increased risk by 1.38-fold (OR: 1.38, 95% CI: 1.10-1.75).

CONCLUSION

There was a U-shaped association between SHR and short- and long-term mortality in critical ill patients, and the inflection point of SHR for poor prognosis was identified at an SHR value of 0.96.

The impact of the stress hyperglycemia ratio on mortality and rehospitalization rate in patients with acute decompensated heart failure and diabetes

BACKGROUND

The relationship between stress hyperglycemia and long-term prognosis in acute decompensated heart failure (ADHF) patients is unknown. This study investigated the associations of stress hyperglycemia with mortality and rehospitalization rates among ADHF patients with diabetes.

METHODS

We consecutively enrolled 1904 ADHF patients. Among them, 780 were with diabetes. Stress hyperglycemia was estimated using the stress hyperglycemia ratio (SHR), which was calculated by the following formula: SHR = admission blood glucose/[(28.7 × HbA1c%) - 46.7]. All diabetic ADHF subjects were divided into quintiles according to the SHR. The primary endpoint was all-cause death at the 3-year follow-up. The secondary endpoints were cardiovascular (CV) death and heart failure (HF) rehospitalization at the 3-year follow-up. A Cox proportional hazards model and restricted cubic spline analysis were used to elucidate the relationship between the SHR and the endpoints in diabetic ADHF patients. Further analyses were performed to examine the relationships between SHR and the outcomes in heart failure with preserved ejection fraction (HFpEF) and heart failure with reduced ejection fraction (HFrEF).

RESULTS

A total of 169 all-cause deaths were recorded during a median follow-up of 3.24 years. Restricted cubic spline analysis suggested a U-shaped association between the SHR and the mortality and rehospitalization rates. Kaplan-Meier survival analysis showed the lowest mortality in the 2nd quintile (P = 0.0028). Patients categorized in the highest range (5th quintile) of SHR, compared to those in the 2nd quintile, exhibited the greatest susceptibility to all-cause death (with a hazard ratio [HR] of 2.76 and a 95% confidence interval [CI] of 1.63-4.68), CV death (HR 2.81 [95% CI 1.66-4.75]) and the highest rate of HF rehospitalization (HR 1.54 [95% CI 1.03-2.32]). Similarly, patients in the lowest range (1st quintile) of SHR also exhibited significantly increased risks of all-cause death (HR 2.33, 95% CI 1.35-4.02) and CV death (HR 2.32, 95% CI 1.35-4.00). Further analyses indicated that the U-shape association between the SHR and mortality remained significant in both HFpEF and HFrEF patients.

CONCLUSION

Both elevated and reduced SHRs indicate an unfavorable long-term prognosis in patients with ADHF and diabetes.

High triglyceride-glucose index and stress hyperglycemia ratio as predictors of adverse cardiac events in patients with coronary chronic total occlusion: a large-scale prospective cohort study

BACKGROUND

The triglyceride-glucose (TyG) index and the stress hyperglycaemia ratio (SHR) are both positively associated with cardiovascular (CV) risk in patients with coronary heart disease. However, the prognostic value of these two biomarkers has not been well elucidated in patients with chronic total occlusion (CTO). Therefore, this study aims to evaluate the association of the TyG index and the SHR with long-term prognosis in patients with CTO.

METHODS

This prospective cohort study consecutively included 2740 angina patients with CTO from January 2017 to December 2018 at Fuwai Hospital. The outcomes are a composite of CV death and target vessel myocardial infarction (TVMI) and major CV cerebrovascular adverse events (MACCEs, including all-cause death, nonfatal MI, ischaemia-driven target vessel revascularization, and stroke). The association between biomarkers and prognosis was analysed by multivariable Cox proportional hazard models, and the predictive value was determined by a receiver-operating characteristic (ROC) curve.

RESULTS

During the follow-up with a median time of 3 years, 179 (6.5%) cases of MACCEs and 47 (1.7%) cases of CV death or TVMI were recorded. Patients with a high TyG index (> 9.10) and a high SHR (> 0.87) showed a significantly increased risk of CV death/TVMI (TyG index: HR 4.23, 95% CI 1.58-11.37; SHR: HR 5.14, 95% CI 1.89-13.98) and MACCEs (TyG index: HR 2.47, 95% CI 1.54-3.97; SHR: HR 2.91, 95% CI 1.84-4.60) compared with those with a low Tyg index and a low SHR (TyG < 8.56, SHR < 0.76). The area under the curve (AUC) values were 0.623 (TyG index) and 0.589 (SHR) for CV death/TVMI and 0.659 (TyG index) and 0.624 (SHR) for MACCEs. Furthermore, patients with both a high TyG index and a high SHR showed the highest risk of clinical outcomes among patients with different levels of these two biomarkers, and the AUC for the TyG-SHR combination was larger than the TyG index alone in predicting MACCE risk.

CONCLUSIONS

The study revealed that a high TyG index and a high SHR were significantly correlated with poor prognosis in patients with CTO and suggested that these two biomarkers are reliable in predicting long-term prognosis in CTO patients.

The impact of fasting stress hyperglycemia ratio, fasting plasma glucose and hemoglobin A1c on in-hospital mortality in patients with and without diabetes: findings from the China acute myocardial infarction registry

BACKGROUND

Stress hyperglycemia was positively associated with poor prognosis in individuals with acute myocardial infarction (AMI). However, admission glucose and stress hyperglycemia ratio (SHR) may not be the best indicator of stress hyperglycemia. We performed this study to evaluate the comparative prognostic value of different measures of hyperglycemia (fasting SHR, fasting plasma glucose [FPG], and hemoglobin A1c [HbA1c]) for in-hospital mortality in AMI patients with or without diabetes.

METHODS

In this prospective, nationwide, multicenter China Acute Myocardial Infarction (CAMI) registry, 5,308 AMI patients including 2081 with diabetes and 3227 without diabetes were evaluated. Fasting SHR was calculated using the formula [(first FPG (mmol/l))/(1.59×HbA1c (%)-2.59)]. According to the quartiles of fasting SHR, FPG and HbA1c, diabetic and non-diabetic patients were divided into four groups, respectively. The primary endpoint was in-hospital mortality.

RESULTS

Overall, 225 (4.2%) patients died during hospitalization. Individuals in quartile 4 had a significantly higher rate of in-hospital mortality compared with those in quartile 1 in diabetic cohort (9.7% vs. 2.0%; adjusted odds ratio [OR] 4.070, 95% CI 2.014-8.228) and nondiabetic cohort (8.8% vs. 2.2%; adjusted OR 2.976, 95% CI 1.695-5.224). Fasting SHR was also correlated with higher in-hospital mortality when treated as a continuous variable in diabetic and nondiabetic patients. Similar results were observed for FPG either as a continuous variable or a categorical variable. In addition, fasting SHR and FPG, rather than HbA1c, had a moderate predictive value for in-hospital mortality in patients with diabetes (areas under the curve [AUC] for fasting SHR: 0.702; FPG: 0.689) and without diabetes (AUC for fasting SHR: 0.690; FPG: 0.693). The AUC for fasting SHR was not significantly different from that of FPG in diabetic and nondiabetic patients. Moreover, adding fasting SHR or FPG to the original model led to a significant improvement in C-statistic regardless of diabetic status.

CONCLUSIONS

This study indicated that, in individuals with AMI, fasting SHR as well as FPG was strongly associated with in-hospital mortality regardless of glucose metabolism status. Fasting SHR and FPG might be considered as a useful marker for risk stratification in this population.

TRIAL REGISTRATION

ClinicalTrials.gov NCT01874691.

Prognostic implication of stress hyperglycemia in patients with acute coronary syndrome undergoing percutaneous coronary intervention

BACKGROUND

It is now understood that stress hyperglycemia is associated with adverse outcomes in hospitalized patients. Herein, we aimed to investigate the association between stress hyperglycemia and mortality risk in acute coronary syndrome (ACS) patients who underwent percutaneous coronary intervention (PCI).

METHODS

This cohort study comprised 5190 ACS patients who underwent PCI from the Cardiovascular Center Beijing Friendship Hospital Database Bank (CBDBANK) from January 2013 to January 2021. Stress hyperglycemia was defined by the glucose/glycated albumin (GA) ratio, calculated as admission fasting plasma glucose divided by GA. The patients were divided into four groups according to glucose/GA ratio quartiles (Q1-Q4). Cox proportional hazards regression and restricted cubic spline were used to evaluate the association between glucose/GA ratio and all-cause and cardiovascular mortality.

RESULTS

During a median follow-up of 4.0 years, the number of all-cause deaths was 313 (6.0%) and cardiovascular-associated deaths was 177 (3.4%). After adjustment for potential confounders, the risk of all-cause mortality increased in the lowest (HR, 1.43; 95% CI, 1.01-2.03) and highest (HR, 1.51; 95% CI, 1.03-2.21) glucose/GA ratio quartiles compared to Q2. The restricted cubic splines showed that the association between glucose/GA ratio and all-cause mortality was U-shaped after full adjustment (P _nonlinear = 0.008). Similar results were observed for cardiovascular mortality. In subgroup analyses according to diabetes status, the U-shaped relationship was only significant in patients with diabetes mellitus.

CONCLUSION

In ACS patients undergoing PCI, low and high glucose/GA ratio values were associated with an increased all-cause and cardiovascular mortality, especially in those with diabetes mellitus.