Association of stress hyperglycemia with clinical outcomes in patients with ST-elevation myocardial infarction undergoing percutaneous coronary intervention: a cohort study

Metabolites-mediated posttranslational modifications in cardiac metabolic remodeling: Implications for disease pathology and therapeutic potential

The nonenergy - producing functions of metabolism are attracting increasing attention, as metabolic changes are involved in discrete pathways modulating enzyme activity and gene expression. Substantial evidence suggests that myocardial metabolic remodeling occurring during diabetic cardiomyopathy, heart failure, and cardiac pathological stress (e.g., myocardial ischemia, pressure overload) contributes to the progression of pathology. Within the rewired metabolic network, metabolic intermediates and end-products can directly alter protein function and/or regulate epigenetic modifications by providing acyl groups for posttranslational modifications, thereby affecting the overall cardiac stress response and providing a direct link between cellular metabolism and cardiac pathology. This review provides a comprehensive overview of the functional diversity and mechanistic roles of several types of metabolite-mediated histone and nonhistone acylation, namely O-GlcNAcylation, lactylation, crotonylation, β-hydroxybutyrylation, and succinylation, as well as fatty acid-mediated modifications, in regulating physiological processes and contributing to the progression of heart disease. Furthermore, it explores the potential of these modifications as therapeutic targets for disease intervention.

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.

Diabetic ketoacidosis and hyperglycemic hyperosmolar state are associated with higher in-hospital mortality and morbidity in diabetes patients hospitalized with ST-elevation myocardial infarction, but not within 30 days of readmission

BACKGROUND

While the cardiovascular risk of hyperglycemia has been thoroughly elucidated in patients with type 2 diabetes (T2DM) hospitalized for myocardial infarction, the evidence surrounding acute severe hyperglycemia is less well-established. Our study aimed to explore the impact of diabetic ketoacidosis (DKA) and hyperglycemic hyperosmolar state (HHS), both severe hyperglycemic conditions, on cardiovascular outcomes in patients with T2D admitted for ST-elevation myocardial infarction (STEMI).

METHODS

We used the National Readmission Database (2016-2019) to extract patients with T2DM and STEMI at baseline. Subsequently, we selected cases of DKA and HHS. The primary endpoint was in-hospital mortality. Secondary endpoints included in-hospital acute renal failure, cardiogenic shock, and 30-day readmission and mortality.

RESULTS

The presence of DKA increased the adjusted odds of mortality and cardiogenic shock by almost 2-fold (adjusted Odds Ratios aOR = 2.30 [1.70-3.12], 2.055 [1.602-2.637], respectively) and renal failure by nearly 5-fold (aOR = 5.175 [4.090-6.546]). HHS was also associated with higher odds of mortality, acute renal failure, and cardiogenic shock. In 30 days, DKA and HHS increased the risk of readmission (aOR = 1.815 [1.449-2.75], 1.751 [1.376-2.228], respectively). There were no differences in the rates of cardiovascular disease, mortality, or other cardiovascular events between DKA and HHS patients. Within 30 days of readmission, DKA and HHS were associated with higher odds of readmission but not mortality. Cardiovascular disease was the most common etiology of readmission in all patients. The incidence of non-STEMI was the highest in DKA patients, and the incidence of STEMI was the highest in the HHS group.

CONCLUSION

The presence of diabetic ketoacidosis or hyperglycemic hyperosmolar state is associated with higher odds of mortality, renal failure, cardiogenic shock, and 30-day readmission in STEMI patients with type 2 diabetes, highlighting the need for enhanced clinical management and monitoring of patients experiencing acute hyperglycemia.

The Role of Stress Hyperglycemia on Delirium Onset

Delirium is an acute neuropsychiatric syndrome that recognizes one or more underlying causal medical conditions. Stress hyperglycemia usually refers to transient hyperglycemia associated with stress conditions such as stroke, myocardial infarction, and major surgery. Both delirium and stress hyperglycemia share common pathways, such as activation of inflammation. Stress hyperglycemia has been associated with negative outcomes, and recent studies suggested that there is an increased risk of delirium onset in patients with stress hyperglycemia. The purpose of this review is to illustrate the relationship between stress hyperglycemia and delirium. Initially, we illustrate the role of diabetes on delirium onset, summarize the criteria used for the diagnosis of stress hyperglycemia, discuss the impact of stress hyperglycemia on outcome, and focus on the evidence about the relationship between stress hyperglycemia and delirium.

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.

Association between stress hyperglycemia ratio and mortality in acute myocardial infarction patients with and without atrial fibrillation: a retrospective cohort study from the MIMIC-IV database

BACKGROUND

The stress hyperglycemia ratio (SHR) potently predicts adverse outcomes in patients with acute myocardial infarction (AMI), and previous studies reported U-shaped relationships between SHR and adverse prognosis. However, the relationship between SHR and mortality risk in AMI patients with or without atrial fibrillation (AF) remained unknown, and which factors affect the mortality in lower SHR patients were unclear. This study aims to research the relationship between SHR and mortality risk in AMI patients with or without AF, and whether AF affects the mortality in lower SHR patients.

METHODS

We conducted a cohort study using data from 3233 patients with a first diagnosis of AMI from the MIMIC-IV (version 2.2) database. Patients were divided into two groups based on AF. The study outcome was 1-year all-cause mortality. SHR was defined as the index calculated by the formula: SHR = (admission glucose) (mmol/L) / (1.59 * HbA1c [%] - 2.59).

RESULTS

U-shaped association between SHR and all-cause mortality was found only in AMI patients with AF, not in AMI patients without AF. For AMI patients with AF, the inflection point for the curve was found to be a SHR of 1.09, either lower (OR, 0.30; 95%CI, 0.10, 0.94) or higher (OR, 3.28; 95%CI, 2.01, 5.34) SHR is associated with increased mortality. However, a linear relationship was found in patients without AF, higher (OR, 1.95; 95%CI, 1.52, 2.51) SHR is associated with increased mortality. For patients with SHR ≤ 1.09, AF increased the risk of all-cause mortality(OR, 1.50; 95%CI, 1.10, 2.05), while this effect was not found in patients with SHR > 1.09.

CONCLUSION

The association between SHR and mortality in AMI patients with or without AF is different: U-shaped association between SHR and all-cause mortality only in AMI patients with AF, not in AMI patients without AF. AF is a factor that make the difference by increasing the risk of mortality in AMI patients with low SHR. Lower SHR may increase mortality through the onset of AF. This study emphasizes avoiding "relative hypoglycemia", SHR = 1.09 is the moderately tight glycemic control, which means glucose level is about (1.59 * HbA1c [%] - 2.59) * 1.09 mmol/L.

TRIAL REGISTRATION

Clinical trial number: not applicable.

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 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.

What is the optimal range of fasting stress hyperglycemia ratio for all-cause mortality in American adults: An observational study

To date, no studies have been conducted to assess the impact of fasting stress hyperglycemia ratio (SHR) on all-cause mortality. Therefore, the objective of our study is to investigate the association between SHR and all-cause mortality in a population of American adults. The study population was derived from NHANES data spanning from 2005 to 2018. The exposure variable SHR was derived from fasting blood glucose (FBG) and glycosylated hemoglobin (HbA1c%), and the specific calculation formula was as follows: (FBG (mmol/L))/(1.59 × HbA1c (%) - 2.59). The outcome variable was all-cause mortality. A total of 18,457 participants were enrolled in this prospective cohort study. Following a median follow-up period of 90 months, all-cause mortality was observed in 10.32% of the subjects. Cox proportional hazards regression model indicates that there is no significant difference between SHR and all-cause mortality in the fully adjusted model, whether analyzed as a continuous or categorical variable (P for trend > 0.05). Through the 2-piecewise Cox proportional hazards regression model, we have determined that the inflection point of SHR in relation to all-cause mortality is 0.88. It has also been observed that when the value of SHR is on the left side of the inflection point (SHR ≤ 0.88), there is a significant 77% (HR: 0.23; 95% CI: 0.10-0.50) reduction in all-cause mortality for each additional unit increase in SHR. Conversely, when the value of SHR exceeds 0.88, there is a substantial 2.40-fold (HR: 2.40; 95% CI: 1.61-3.58) increase in the risk of all-cause mortality (P for log likelihood ratio test < .001). The subgroup analysis results demonstrate that sex has the potential to modify the association between SHR and all-cause mortality within the population exhibiting SHR ≤ 0.88. The relationship between SHR and all-cause mortality follows a U-shaped pattern, where in the lowest risk of death for the average American adult is observed at an SHR value of 0.88. Furthermore, in men with SHR ≤ 0.88, there is a significant inverse relationship between the increase in SHR and the risk of all-cause mortality.

Association of stress hyperglycemia ratio and mortality in patients with sepsis: results from 13,199 patients

BACKGROUND

The stress hyperglycemia ratio (SHR), adjusted for average glycemic status, is suggested for assessing actual blood glucose levels. Its link with adverse outcomes is known in certain populations, yet its impact on sepsis patients' prognosis is unclear. This study explores the association between SHR and mortality in sepsis.

METHODS

We included 13,199 sepsis patients in this study and categorized SHR into distinct groups. Additionally, we utilized restricted cubic spline analysis to evaluate the correlation between SHR as a continuous variable and mortality. The primary outcome was 1-year all-cause mortality. Logistic regression and Cox proportional hazards models were employed to assess the associations between the SHR and both in-hospital mortality and 1-year mortality, respectively.

RESULTS

Among the study participants, 4,690 (35.5%) patients died during the 1-year follow-up. After adjusting for confounding variables, we identified a U-shaped correlation between SHR and 1-year mortality. Using an SHR of 0.99 as the reference point, the hazard ratio for predicted 1-year mortality increased by 1.17 (95% CI 1.08 to 1.27) per standard deviation above 0.99, whereas each standard deviation increase predicted the hazard ratio of 0.52 (95% CI 0.39 to 0.69) below 0.99. Furthermore, we found that SHR could enhance the predictive performance of conventional severity scores.

CONCLUSION

There exists a U shaped association between SHR and mortality in sepsis patients, where both low and high SHR values are associated with an increased risk of poor outcomes.

Prognostic value of stress hyperglycemia ratio in patients with acute myocardial infarction: A systematic review with Bayesian and frequentist meta-analysis

The present systematic review and meta-analysis aimed to investigate the prognostic value of stress hyperglycemia ratio (SHR) in patients with acute myocardial infarction (AMI). A total of 26 cohort studies, involving 87,974 patients, were analyzed. The frequentist meta-analysis showed that AMI patients with SHR in the upper quantile had a significantly higher hazard of major adverse cardiovascular and cerebrovascular events (MACCE, HR = 1.7; 95 % CI= [1.42, 2.03]; P < 0.001; I2 = 71 %; P <0.01), long-term (HR = 1.64; 95 % CI= [1.49, 1.8]; P < 0.001; I2 = 16 %; P = 0.29) and in-hospital all-cause mortality (OR = 3.87; 95 % CI= [2.98, 5.03]; P < 0.001; I2 = 54 %; P = 0.03) compared to those with lower SHR. Prespecified subgroup analyses revealed that these results were consistent irrespective of diabetes status (P = 0.32 and 0.73 for subgroup differences) and that SHR was a significant predictor of MACCE both in AMI with obstructive coronary arteries (HR = 1.57; 95 % CI= [1.34, 1.83]; P < 0.001; I2 = 66 %; P < 0.01) and MINOCA (HR = 2.57; 95 % CI= [1.86, 3.56]; P < 0.001; I2 = 0 %; P = 0.84). The Bayesian analyses with weakly prior assumptions yielded comparable results with the frequentist approach and provided strong evidence that higher SHR values were associated with significantly greater hazard of MACCE, short-term and long-term mortality. Further, prospective research is warranted to provide deeper insights into this newer index of stress hyperglycemia before its potential incorporation in clinical prediction scores.

Acute Hyperglycemia and Its Impact on Mortality of Acute Coronary Syndrome Patients: A Systematic Review

Acute hyperglycemia or stress hyperglycemia is a frequent finding in patients with acute coronary syndrome (ACS). Several studies have demonstrated the association between acute hyperglycemia with short- and long-term mortality in ACS patients. But the evidence is not concrete. We gathered 1056 articles from three databases, i.e., PubMed, Google Scholar, and Science Direct using different search strategies and filters. We then removed duplicates and 919 articles were screened with title abstract and full text. After a full-text screening of 169 articles, we removed 116 articles. We then applied eligibility criteria and did a quality assessment of articles and finally, we included 21 articles in our study. The 21 articles spanned years 2014 to 2024. Of them, 16 articles were observational studies, two were systematic reviews and meta-analyses, and three were review articles. Six articles used stress hyperglycemia ratio (SHR) alone, seven articles used admission blood glucose (ABG) alone, two used fasting plasma glucose (FPG) alone and one used SHR, ABG, and FPG together as a parameter to measure acute hyperglycemia. Short-term poor outcomes (in-hospital, <30 days) were studied in 12 studies, and long-term poor outcomes (>30 days-1 year, >1 year) were studied in six studies. A positive correlation between acute hyperglycemia and short- and long-term mortality was found in our 21 included studies. The three parameters which are used to quantify acute or stress hyperglycemia in our study, i.e., SHR, ABG, and FPG predict both short- and long-term mortality in ACS patients. Further study is needed to determine the accurate cutoff level of hyperglycemia to be called acute hyperglycemia in diabetics. We tried to review the recent literature on this topic to deepen our understanding of this topic and to provide a base for future research.

J-shaped relationship between stress hyperglycemia ratio and 90-day and 180-day mortality in patients with a first diagnosis of acute myocardial infarction: analysis of the MIMIC-IV database

AIMS

The Stress Hyperglycemia Ratio (SHR) potently predicts adverse outcomes in patients with cardiovascular and cerebrovascular diseases. However, the relationship between SHR and short-term mortality risk in patients with a first diagnosis of acute myocardial infarction (AMI) remains contentious. This study sought to understand better the relationship between SHR and short-term mortality risk in patients with a first diagnosis of AMI.

METHODS

We conducted a cohort study using data from 1961 patients with a first diagnosis of AMI from the MIMIC-IV (version 2.2) database. Patients were divided into three groups based on SHR tertiles. The Cox proportional hazards model and a two-segmented Cox proportional hazards model were used to elucidate the nonlinear relationship between SHR in patients with a first diagnosis of AMI and mortality.

RESULTS

Of the surveyed population, 175 patients (8.92%) died within 90 days, and 210 patients (10.71%) died within 180 days. After multivariate adjustments, elevated SHR levels were significantly and non-linearly associated with a higher risk of 90-day and 180-day mortality in patients with a first diagnosis of AMI, showing a J-shaped correlation with an inflection point at 0.9. Compared to participants with SHR levels below the inflection point, those with higher SHR levels had a fivefold increased risk of 90-day mortality (hazard ratio [HR] 5.74; 95% confidence interval [CI] 3.19, 10.33) and a fourfold increased risk of 180-day mortality (HR 4.56; 95% CI 2.62, 7.95). In the subgroup analysis, patients with pre-diabetes mellitus (pre-DM) and higher SHR levels had increased 90-day (HR 6.90; 95% CI  1.98, 24.02) and 180-day mortality risks (HR 5.30; 95% CI  1.96, 14.27).

CONCLUSION

In patients with a first diagnosis of AMI, there is a J-shaped correlation between SHR and 90-day and 180-day mortality, with an adverse prognostic inflection point of SHR at 0.9.

High stress hyperglycemia ratio predicts adverse clinical outcome in patients with coronary three-vessel disease: a large-scale cohort study

BACKGROUND

Coronary three-vessel disease (CTVD) accounts for one-third of the overall incidence of coronary artery disease, with heightened mortality rates compared to single-vessel lesions, including common trunk lesions. Dysregulated glucose metabolism exacerbates atherosclerosis and increases cardiovascular risk. The stress hyperglycemia ratio (SHR) is proposed as an indicator of glucose metabolism status but its association with cardiovascular outcomes in CTVD patients undergoing percutaneous coronary intervention (PCI) remains unclear.

METHODS

10,532 CTVD patients undergoing PCI were consecutively enrolled. SHR was calculated using the formula: admission blood glucose (mmol/L)/[1.59×HbA1c (%)-2.59]. Patients were divided into two groups (SHR Low and SHR High) according to the optimal cutoff value of SHR. Multivariable Cox regression models were used to assess the relationship between SHR and long-term prognosis. The primary endpoint was cardiovascular (CV) events, composing of cardiac death and non-fatal myocardial infarction (MI).

RESULTS

During the median follow-up time of 3 years, a total of 279 cases (2.6%) of CV events were recorded. Multivariable Cox analyses showed that high SHR was associated with a significantly higher risk of CV events [Hazard Ratio (HR) 1.99, 95% Confidence interval (CI) 1.58-2.52, P < 0.001). This association remained consistent in patients with (HR 1.50, 95% CI 1.08-2.10, P = 0.016) and without diabetes (HR 1.97, 95% CI 1.42-2.72, P < 0.001). Additionally, adding SHR to the base model of traditional risk factors led to a significant improvement in the C-index, net reclassification and integrated discrimination.

CONCLUSIONS

SHR was a significant predictor for adverse CV outcomes in CTVD patients with or without diabetes, which suggested that it could aid in the risk stratification in this particular population regardless of glucose metabolism status.

Long-Term Prognostic Impact of Stress Hyperglycemia in Non-Diabetic Patients Treated with Successful Primary Percutaneous Coronary Intervention

BACKGROUND

stress hyperglicemia (SH) is common in patients with ST-elevation myocardial infraction (STEMI). The aims of this study were to analyze the impact of SH on the incidence of all-cause mortality and major adverse cardiovascular events (MACE-cardiovascular death, nonfatal reinfarction, target vessel revascularization, and stroke) in STEMI patients without diabetes mellitus (DM) who have been treated successfully with primary PCI (pPCI).

METHOD

we analyzed 2362 STEMI patients treated with successful pPCI (post-procedural flow TIMI = 3) and without DM and cardiogenic shock at admission. Stress hyperglycemia was defined as plasma glucose level above 7.8 mmol/L at admission. The follow-up period was 8 years.

RESULTS

incidence of SH was 26.9%. Eight-year all-cause mortality and MACE rates were significantly higher in patients with SH, as compared to patients without SH (9.7% vs. 4.2%, p < 0.001, and 15.7% vs. 9.4%, p < 0.001). SH was an independent predictor of short- and long-term all-cause mortality (HR 2.19, 95%CI 1.16-4.18, and HR 1.99, 95%CI 1.03-3.85) and MACE (HR 1.49, 95%CI 1.03-2.03, and HR 1.35, 95%CI 1.03-1.89).

CONCLUSION

despite successful revascularization, SH at admission was an independent predictor of short-term and long-term (up to eight years) all-cause mortality and MACE, but its negative prognostic impact was stronger in short-term follow-up.

Effects of the stress hyperglycemia ratio on long-term mortality in patients with triple-vessel disease and acute coronary syndrome

AIMS

Risk assessment for triple-vessel disease (TVD) remain challenging. Stress hyperglycemia represents the regulation of glucose metabolism in response to stress, and stress hyperglycemia ratio (SHR) is recently found to reflect true acute hyperglycemic status. This study aimed to evaluate the prognostic value of SHR and its role in risk stratification in TVD patients with acute coronary syndrome (ACS).

METHODS

A total of 3812 TVD patients with ACS with available baseline SHR measurement were enrolled from two independent centers. The endpoint was cardiovascular mortality. Cox regression was used to evaluate the association between SHR and cardiovascular mortality. The SYNTAX (Synergy Between Percutaneous Coronary Intervention With Taxus and Cardiac Surgery) II (SSII) was used as the reference model in the model improvement analysis.

RESULTS

During a median follow-up of 5.1 years, 219 (5.8%) TVD patients with ACS suffered cardiovascular mortality. TVD patients with ACS with high SHR had an increased risk of cardiovascular mortality after robust adjustment for confounding (high vs. median SHR: adjusted hazard ratio 1.809, 95% confidence interval 1.160-2.822, P = 0.009), which was fitted as a J-shaped pattern. The prognostic value of the SHR was found exclusively among patients with diabetes instead of those without diabetes. Moreover, addition of SHR improved the reclassification abilities of the SSII model for predicting cardiovascular mortality in TVD patients with ACS.

CONCLUSIONS

The high level of SHR is associated with the long-term risk of cardiovascular mortality in TVD patients with ACS, and is confirmed to have incremental prediction value beyond standard SSII. Assessment of SHR may help to improve the risk stratification strategy in TVD patients who are under acute stress.

Circulating microRNA-33b levels are associated with the presence and severity of coronary heart disease

MicroRNA-33b (miR-33b) affected various biological pathways in regulating cholesterol homeostasis which may link to the pathogenesis of atherosclerotic lesions. However, whether this marker is associated with the presence and severity of coronary heart disease (CHD) is undetermined. We aim to explore the diagnostic value of circulating miR-33b level in the presence and severity of CHD. Altogether 320 patients were enrolled, including 240 patients diagnosed with CHD while 80 were classified as controls after CAG examination. Circulating miR-33b level was analyzed in all subjects, the Gensini score was calculated to assess the severity of stenotic lesions. The association between miR-33b and the presence and severity of CHD was analyzed, and the diagnostic potential of miR-33b of CHD was performed by the receiver operating characteristic (ROC) analysis. The CHD group had higher miR-33b levels (p < 0.001), and the miR-33b content significantly elevated following an increasing Gensini score (p for trend < 0.001). After adjustments for potential risk factors, such as several blood lipid markers, miR-33b remained a significant determinant for CHD (p < 0.001). ROC analysis disclosed that the AUC was 0.931. The optimal cutoff value of miR-33b was with a sensitivity of 81.3% and a specificity of 98.7% in differentiating CHD. It can prognosticate that the higher level of miR-33b was linked to increased severity of disease in CHD patients. Thus, the application of this marker might assist in the diagnosis and classification of CHD patients. Nevertheless, additional studies with larger sample sizes will be required to verify these results.

The association between the AIP and undiagnosed diabetes in ACS patients with different body mass indexes and LDL-C levels: findings from the CCC-ACS project

BACKGROUND

The atherogenic index of plasma (AIP) has been demonstrated to be significantly associated with the incidence of prediabetes and diabetes. This study aimed to investigate the association between the AIP and undiagnosed diabetes in acute coronary syndrome (ACS) patients.

METHODS

Among 113,650 ACS patients treated with coronary angiography at 240 hospitals in the Improving Care for Cardiovascular Disease in China-ACS Project from 2014 to 2019, 11,221 patients with available clinical and surgical information were included. We analyzed these patients' clinical characteristics after stratification according to AIP tertiles, body mass index (BMI) and low-density lipoprotein cholesterol (LDL-C) levels.

RESULTS

The AIP was independently associated with a greater incidence of undiagnosed diabetes. The undiagnosed diabetes was significantly greater in the T3 group than in the T1 group after adjustment for confounders [T3 OR 1.533 (1.199-1.959) p < 0.001]. This relationship was consistent within normal weight patients and patients with an LDL-C level ≥ 1.8 mmol/L. In overweight and obese patients, the AIP was significantly associated with the incidence of undiagnosed diabetes as a continuous variable after adjustment for age, sex, and BMI but not as a categorical variable. The area under the receiver operating characteristic curve (AUC) of the AIP score, triglyceride (TG) concentration, and HDL-C concentration was 0.601 (0.581-0.622; p < 0.001), 0.624 (0.603-0.645; p < 0.001), and 0.493 (0.472-0.514; p = 0.524), respectively. A nonlinear association was found between the AIP and the incidence of undiagnosed diabetes in ACS patients (p for nonlinearity < 0.001), and this trend remained consistent between males and females. The AIP may be a negative biomarker associated with undiagnosed diabetes ranging from 0.176 to 0.738.

CONCLUSION

The AIP was significantly associated with the incidence of undiagnosed diabetes in ACS patients, especially in those with normal weight or an LDL-C level ≥ 1.8 mmol/L. A nonlinear relationship was found between the AIP and the incidence of undiagnosed diabetes, and this trend was consistent between male and female patients. The AIP may be a negative biomarker associated with undiagnosed diabetes and ranges from 0.176 to 0.738.

Maximum stress hyperglycemia ratio within the first 24 h of admission predicts mortality during and after the acute phase of acute coronary syndrome in patients with and without diabetes: A retrospective cohort study from the MIMIC-IV database

AIMS

The stress hyperglycemia ratio (SHR) is significantly associated with short-term adverse cardiovascular events. However, the association between SHR and mortality after the acute phase of acute coronary syndrome (ACS) remains controversial.

METHODS

This study used data from the Medical Information Mart for Intensive Care-IV database. Patients with ACS hospitalized in the intensive care unit (ICU) were retrospectively enrolled.

RESULTS

A total of 2668 ACS patients were enrolled. The incidence of in-hospital and 1-year mortality was 4.7 % and 13.2 %, respectively. The maximum SHR had a higher prognostic value for predicting both in-hospital and 1-year mortality than the first SHR. Adding the maximum SHR to the SOFA score could significantly improve the prognostic prediction. In the landmark analysis at 30 days, the maximum SHR was a risk factor for mortality within 30 days regardless of whether patients had diabetes. However, it was no longer associated with mortality after 30 days in patients with diabetes after adjustment (HR = 1.237 per 1-point increment, 95 % CI 0.854-1.790).

CONCLUSIONS

The maximum SHR was significantly associated with mortality in patients with ACS hospitalized in the ICU. However, caution is warranted if it is used for predicting mortality after 30 days in patients with diabetes.

Relationship between stress hyperglycemia ratio and acute kidney injury in patients with congestive heart failure

BACKGROUND

The stress hyperglycemia ratio (SHR) has been demonstrated as an independent risk factor for acute kidney injury (AKI) in certain populations. However, this relationship in patients with congestive heart failure (CHF) remains unclear. Our study sought to elucidate the relationship between SHR and AKI in patients with CHF.

METHODS

A total of 8268 patients with CHF were included in this study. We categorized SHR into distinct groups and evaluated its association with mortality through logistic or Cox regression analyses. Additionally, we applied the restricted cubic spline (RCS) analysis to explore the relationship between SHR as a continuous variable and the occurrence of AKI. The primary outcome of interest in this investigation was the incidence of AKI during hospitalization.

RESULTS

Within this patient cohort, a total of 5,221 (63.1%) patients experienced AKI during their hospital stay. Upon adjusting for potential confounding variables, we identified a U-shaped correlation between SHR and the occurrence of AKI, with an inflection point at 0.98. When the SHR exceeded 0.98, for each standard deviation (SD) increase, the risk of AKI was augmented by 1.32-fold (odds ratio [OR]: 1.32, 95% CI: 1.22 to 1.46). Conversely, when SHR was below 0.98, each SD decrease was associated with a pronounced increase in the risk of AKI.

CONCLUSION

Our study reveals a U-shaped relationship between SHR and AKI in patients with CHF. Notably, we identified an inflection point at an SHR value of 0.98, signifying a critical threshold for evaluating AKI in this population.

U-shaped association between stress hyperglycemia ratio and risk of all-cause mortality in cardiac ICU

BACKGROUND

Stress hyperglycemia has been associated with poor prognosis in patients admitted to the cardiac intensive care unit (ICU). Recently, the stress hyperglycemia ratio (SHR) has been proposed to reflect true acute hyperglycemic. This study aimed to investigate the relationship between SHR and prognosis of patients in the cardiac ICU.

METHODS

A retrospective analysis was conducted on a cohort of 5,564 patients admitted to the cardiac ICU. The participants were divided into seven groups based on their SHR levels. SHR was calculated as admission blood glucose/[(28.7 × HbA1c %) - 46.7]. The primary outcomes of this study were 28-day all-cause mortality.

RESULTS

During the follow-up period, 349 (6.3%) patients succumbed within 28 days. A U-shaped correlation between SHR and mortality persisted, even after adjusting for other confounding variables, with a discernible inflection point at 0.95. When SHR surpassed 0.95, each standard deviation (SD) increase corresponded to a 1.41-fold elevation in the risk of mortality (odds ratio [OR]: 1.41, 95% CI: 1.25 to 1.59). In contrast, when SHR fell below 0.95, each SD increment correlated with a significantly reduced risk of mortality (OR: 0.56, 95% CI: 0.34 to 0.91).

CONCLUSION

There was a U-shaped association between SHR and short -term mortality in patients in the cardiac ICU. The inflection point of SHR for poor prognosis was identified at an SHR value of 0.95.

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.

Predictive value of the stress hyperglycemia ratio in dialysis patients with acute coronary syndrome: insights from a multi-center observational study

BACKGROUND

Various studies have indicated that stress hyperglycemia ratio (SHR) can reflect true acute hyperglycemic status and is associated with poor outcomes in patients with acute coronary syndrome (ACS). However, data on dialysis patients with ACS are limited. The Global Registry of Acute Coronary Events (GRACE) risk score is a well-validated risk prediction tool for ACS patients, yet it underestimates the risk of major events in patients receiving dialysis. This study aimed to evaluate the association between SHR and adverse cardiovascular events in dialysis patients with ACS and explore the potential incremental prognostic value of incorporating SHR into the GRACE risk score.

METHODS

This study enrolled 714 dialysis patients with ACS from January 2015 to June 2021 at 30 tertiary medical centers in China. Patients were stratified into three groups based on the tertiles of SHR. The primary outcome was major adverse cardiovascular events (MACE), and the secondary outcomes were all-cause mortality and cardiovascular mortality.

RESULTS

After a median follow-up of 20.9 months, 345 (48.3%) MACE and 280 (39.2%) all-cause mortality occurred, comprising 205 cases of cardiovascular death. When the highest SHR tertile was compared to the second SHR tertile, a significantly increased risk of MACE (adjusted hazard ratio, 1.92; 95% CI, 1.48-2.49), all-cause mortality (adjusted hazard ratio, 2.19; 95% CI, 1.64-2.93), and cardiovascular mortality (adjusted hazard ratio, 2.70; 95% CI, 1.90-3.83) was identified in the multivariable Cox regression model. A similar association was observed in both diabetic and nondiabetic patients. Further restricted cubic spline analysis identified a J-shaped association between the SHR and primary and secondary outcomes, with hazard ratios for MACE and mortality significantly increasing when SHR was > 1.08. Furthermore, adding SHR to the GRACE score led to a significant improvement in its predictive accuracy for MACE and mortality, as measured by the C-statistic, net reclassification improvement, and integrated discrimination improvement, especially for those with diabetes.

CONCLUSIONS

In dialysis patients with ACS, SHR was independently associated with increased risks of MACE and mortality. Furthermore, SHR may aid in improving the predictive efficiency of the GRACE score, especially for those with diabetes. These results indicated that SHR might be a valuable tool for risk stratification and management of dialysis patients with ACS.

Impact of stress hyperglycemia ratio on mortality in patients with critical acute myocardial infarction: insight from american MIMIC-IV and the chinese CIN-II study

BACKGROUND

Among patients with acute coronary syndrome and percutaneous coronary intervention, stress hyperglycemia ratio (SHR) is primarily associated with short-term unfavorable outcomes. However, the relationship between SHR and long-term worsen prognosis in acute myocardial infarction (AMI) patients admitted in intensive care unit (ICU) are not fully investigated, especially in those with different ethnicity. This study aimed to clarify the association of SHR with all-cause mortality in critical AMI patients from American and Chinese cohorts.

METHODS

Overall 4,337 AMI patients with their first ICU admission from the American Medical Information Mart for Intensive Care (MIMIC)-IV database (n = 2,166) and Chinese multicenter registry cohort Cardiorenal ImprovemeNt II (CIN-II, n = 2,171) were included in this study. The patients were divided into 4 groups based on quantiles of SHR in both two cohorts.

RESULTS

The total mortality was 23.8% (maximum follow-up time: 12.1 years) in American MIMIC-IV and 29.1% (maximum follow-up time: 14.1 years) in Chinese CIN-II. In MIMIC-IV cohort, patients with SHR of quartile 4 had higher risk of 1-year (adjusted hazard radio [aHR] = 1.87; 95% CI: 1.40-2.50) and long-term (aHR = 1.63; 95% CI: 1.27-2.09) all-cause mortality than quartile 2 (as reference). Similar results were observed in CIN-II cohort (1-year mortality: aHR = 1.44; 95%CI: 1.03-2.02; long-term mortality: aHR = 1.32; 95%CI: 1.05-1.66). In both two group, restricted cubic splines indicated a J-shaped correlation between SHR and all-cause mortality. In subgroup analysis, SHR was significantly associated with higher 1-year and long-term all-cause mortality among patients without diabetes in both MIMIC-IV and CIN-II cohort.

CONCLUSION

Among critical AMI patients, elevated SHR is significantly associated with and 1-year and long-term all-cause mortality, especially in those without diabetes, and the results are consistently in both American and Chinese cohorts.

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.