Impact of admission hyperglycemia on short and long-term prognosis in acute myocardial infarction: MINOCA versus MIOCA

investigators. Impact of elevated glucose levels on cardiac function in STEMI patients: glucose delta as a prognostic biomarker

BACKGROUND

Elevated glucose levels have emerged as a significant prognostic factor following acute myocardial infarction (AMI).

OBJECTIVE

This study aimed to evaluate glycemic parameters associated with infarct size and left ventricular function.

RESEARCH DESIGN AND METHODS

A total of 244 patients with ST-segment elevation myocardial infarction (STEMI) treated using a pharmacoinvasive strategy were included. Glucose delta was calculated as the difference between mean glucose levels estimated from glycated hemoglobin (HbA1c) and serum glucose levels collected at hospital admission. Infarct size and left ventricular ejection fraction (LVEF) were assessed 30 days post-infarction using cardiac magnetic resonance (CMR) imaging.

RESULTS

Higher glucose delta values were significantly associated with reduced LVEF and larger infarct size, regardless of diabetes diagnosis. Differences in infarcted ventricular mass were noted between diabetic and non-diabetic patients above specific thresholds: (18.62 ± 11.0 g) vs. (16.24 ± 13.17 g), p = 0.019, with an effect size of 0.55. The receiver operating characteristic curve yielded an area under the curve (AUC) of 0.65 (95% CI 0.57-0.72).

CONCLUSIONS

In STEMI patients undergoing pharmacoinvasive treatment, a higher glycemic delta was associated with greater infarct size and lower LVEF. This straightforward glycemic parameter provides valuable prognostic insight for both diabetic and non-diabetic populations.

Prognostic Value of Angiography-Derived Index of Microcirculatory Resistance in Patients with Diabetes and ST-Segment Elevation Myocardial Infarction

BACKGROUND

The occurrence of coronary microvascular dysfunction (CMD) after primary PCI in patients with diabetes mellitus (DM) and ST-elevation myocardial infarction (STEMI), and its impact on prognosis remains elusive.

METHODS

This single-centre retrospective observational study included 293 patients diagnosed with DM and STEMI. The coronary-angiography-derived index of microvascular resistance (caIMR) was calculated using the measurement software FlashAngio (Suzhou Rainmed Medical Technology Company, Ltd, Suzhou, Jiangsu, China), whereas cardiac magnetic resonance parameters were quantified using the postprocessing software Cvi42. CMD was defined as caIMR ≥ 25 U. The primary endpoint was major adverse cardiac events (MACE), defined as all-cause mortality, nonfatal myocardial infarction, ischemia-driven revascularization, and heart failure.

RESULTS

MACE occurred in 86 patients (29.4%) during a median follow-up of 31 months. A significant correlation was identified between caIMR and both microvascular obstruction (MVO) (R = 0.61, P < 0.001) and infarct size (IS) (R = 0.39, P < 0.001). Furthermore, caIMR ≥ 25 was identified as an independent risk factor for MACE (hazard ratio [HR], 2.99; 95% confidence interval [CI], 1.78-5.03; P < 0.001). In addition, the integration of caIMR into risk modelling significantly improved prediction of MACE (net reclassification improvement 0.264, P < 0.001; integrated discrimination improvement 0.060, P < 0.001). Finally, the Kaplan-Meier survival curves displayed that patients with caIMR ≥ 25 were at a higher risk of MACE (log-rank P < 0.001).

CONCLUSIONS

The caIMR demonstrated a satisfactory correlation with CMR-determined MVO and IS in patients with DM and STEMI. Elevated caIMR was independently linked to a higher risk of MACE in patients with diabetes and STEMI post-PCI, serving as an effective predictor for MACE.

CLINICAL TRIAL REGISTRATION

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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.

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.

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.

Positive association between stress hyperglycemia ratio and ICU mortality in patients with pulmonary embolism: A retrospective study

BACKGROUND

Measurement of the Stress Hyperglycemia Ratio (SHR) aims to reduce the influence of prolonged chronic glycemic variables on stress hyperglycemia levels, which are associated with clinical outcomes. Nevertheless, the correlation between SHR and the risk of all-cause Intensive Care Unit (ICU) mortality in patients with pulmonary embolism(PE) remains unclear.

METHODS

Data for this retrospective study were o btained from the MIMIC IV2.2 database. The participants were divided into four groups based on the SHR quartiles. The primary outcome measured was 28-day ICU mortality. We employed Cox proportional hazards regression analysis and restricted cubic splines to evaluate the correlation between the SHR and clinical outcomes in patients with PE.

RESULTS

The study included 1185 patients, of which 53.3% were male. The rates of mortality observed in the ICU were 19.8%. By conducting multivariable Cox proportional hazards, it was determined that the SHR was independently associated with a heightened risk of 28-day ICU mortality (HR = 1.83 per 1-point increment, 95% CI = 1.07-3.13, p = 0.028).The analysis using restricted cubic splines showed that there was a consistent and gradually increasing risk of all-cause mortality as the SHR increased. This indicates that a higher SHR is associated with a higher risk of ICU mortality.

CONCLUSIONS

Elevated SHR was strongly linked to a higher risk of clinical outcomes in patients with PE. As an effective measure of stress hyperglycemia, SHR demonstrated superior performance in predicting risks compared to solely evaluating glycemia or HbA1c upon admission.

Prognostic value of extracellular volume fraction in myocardial infarction and myocardial infarction with nonobstructive coronary arteries: A multicenter study

RATIONALE AND OBJECTIVES

The aim of the present retrospective study was to evaluate the prognostic role of the extracellular volume fraction (ECV) in patients with myocardial infarction (MI) and myocardial infarction with nonobstructive coronary arteries (MINOCA). The present study hypothesized that ECV is associated with major adverse cardiovascular events (MACEs) in MI and MINOCA patients.

MATERIALS AND METHODS

Cardiac magnetic resonance (CMR) imaging was performed on 351 consecutive patients (mean age: 58 ± 12 years; 252 [71.8%] males) who were diagnosed with MI between October 2015 and November 2023. From CMR imaging, the extent of late gadolinium enhancement (LGE), native T1 and ECV were derived. Patients were categorized into groups according to the degree of coronary artery stenosis, namely, patients with MINOCA and patients with obstructive MI. Follow-up was performed to assess MACEs.

RESULTS

The final cohort consisted of 61 MINOCA patients and 290 obstructive MI patients. During a mean follow-up of 27 ± 16 months, there was no statistically significant difference in the incidence of MACEs between patients with MINOCA and those with obstructive MI, and the two groups of patients had similar ECVs (32.2 ± 3.6 vs. 32.3 ± 6.0, p = 0.864). According to the multivariate Cox regression, ECV was an independent predictor of MACEs (HR: 1.13; p < 0.001) and significantly improved the prognostic value of the baseline multivariate models (C-statistic improvement: 0.816-0.864, p = 0.001). Similarly, ECV maintained an independent association with MACEs in the MINOCA (HR: 1.35; p < 0.001) and obstructive MI (HR: 1.13; p < 0.001) groups.

CONCLUSION

In MI and MINOCA patients, ECV is an independent predictor of MACEs. MINOCA is not a benign disease, and its long-term prognosis is as poor as that of patients with obstructive MI.

ANOCA, INOCA, MINOCA: The New Frontier of Coronary Syndromes

The growing prevalence in the diagnosis of INOCA (Ischemia with Non-Obstructive Coronary Arteries), ANOCA (Angina with Non-Obstructive Coronary Arteries), and MINOCA (Myocardial Infarction with Non-Obstructive Coronary Arteries) highlights the need to reassess their clinical relevance. Historically regarded as benign syndromes, emerging evidence suggests that these conditions may cause serious cardiovascular events and considerable long-term disability. Additionally, emerging studies suggest that non-obstructive coronary artery disease (CAD) may have a higher prevalence compared to traditional obstructive forms of CAD. This leads to the need to better clarify the underlying pathogenic mechanisms as well as the risk factors associated with these syndromes. This is precisely the aim of this review, which focuses on the complex and heterogeneous mechanisms underlying these syndromes as well as the associated risk factors. This review also sums up the diagnostic steps necessary to achieve an accurate diagnosis, along with the interventional and pharmacological approaches to be implemented in light of the latest evidence.

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.

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.

Prognostic impact of coronary microvascular dysfunction assessed by AMR in acute coronary syndrome patients with chronic kidney disease

Background

Angiography-derived microcirculatory resistance (AMR) is proposed as a novel, pressure- temperature-wire-free and less-invasive method to evaluate coronary microvascular dysfunction (CMD). This study aims to examine the prognostic role of CMD assessed by AMR in predicting adverse events in acute coronary syndrome (ACS) patients with chronic kidney disease (CKD).

Methods

This retrospective cohort study included ACS with CKD patients in the China-Japan Friendship Hospital from January 2016 to November 2022. The patients were divided into CMD and non-CMD groups based on AMR values of less than or greater than 250 mmHg*s/m.

Results

A total of 345 eligible patients were included in this study. During a median follow-up of 23.0 months, higher prevalence rate of MACEs (28.3% vs. 15.1%, P = 0.003) and death (20.2% vs. 4.1%, P = 0.001) were observed in the CMD group. In multivariate Cox regression analysis, patients in the group of CMD had a 1.843 times higher hazard ratio (HR) for developing MACEs (HR: 1.843, 95% CI: 1.071-3.174, P = 0.027) and 5.325 times higher HR for developing death (HR: 5.325, 95% CI: 1.979-14.327, P < 0.001) for every 10 mmHg*s/m increment in AMR. The incorporation of AMR improved the predictive accuracy of the GRACE score for MACEs and death.

Conclusion

This study indicates that the AMR is significantly related to poor prognosis among patients with ACS and CKD. Furthermore, AMR could improve the predictive power of the GRACE risk score. These results indicated that AMR may serve as a valuable clinical tool for classification, risk stratification or therapy individualization in these patients.

The association between fibrinogen-to-albumin ratio and adverse prognosis in patients with myocardial infarction with non-obstructive coronary arteries

BACKGROUND

The fibrinogen-to-albumin ratio (FAR) has been identified as a new inflammatory marker for predicting the risk of cardiovascular diseases. Nevertheless, its prognostic relevance in patients with myocardial infarction with non-obstructive coronary arteries (MINOCA) remains uncertain.

METHODS

This study included a total of 1031 hospitalized patients diagnosed with MINOCA, enrolled consecutively. The primary outcome was the occurrence of major adverse cardiovascular events (MACE). Based on the median FAR value, patients were divided into high FAR (FARH) and low FAR (FAR-L) groups. Baseline clinical characteristics and the incidence of adverse events during the follow-up period were compared between the two groups. Various statistical methods were applied, including restricted cubic spline modeling, Kaplan-Meier survival analysis, and Cox proportional hazards modeling.

RESULTS

The median follow-up duration was 42.3 months, during which 157 patients (15.2 %) experienced MACE. The FAR-H group had a significantly higher incidence of MACE compared to the FAR-L group (21.2 % vs. 9.3 %, p < 0.001). Multivariate Cox regression analysis revealed that a higher FAR was an independent predictor of long-term MACE in MINOCA patients (hazard ratio = 2.76, 95 % confidence interval: 1.95-3.89, p < 0.001), after adjusting for relevant clinical variables.

CONCLUSIONS

An elevated FAR is linked to a poor long-term prognosis in patients with MINOCA.

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.

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.

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.

A systematic review and meta-analysis of the effect of hyperglycemia on admission for acute myocardial infarction in diabetic and non-diabetic patients

INTRODUCTION

Regarding a potential relationship between diabetes and the prognostic significance of hyperglycemia in patients presenting with acute myocardial infarction (AMI), there is still debate. Therefore, we aimed in this study to demonstrate the effect of hyperglycemia on different outcomes in AMI patients, whether they are diabetic or not.

METHODS

We searched PubMed, Web of Science, and Scopus using the following search strategy: "Diabetes" or "Diabetic" AND "Acute myocardial infarction" OR "AMI" AND "hyperglycemia" OR "glucose level" to find eligible articles that needed to go through the screening process for inclusion in our study. We conducted a meta-analysis of 19 included studies from Japan, Germany, China, the United Kingdom, and others using Review Manager version 5.4 software, pooling the mean difference in continuous variables, the number and total of dichotomous variables to measure the odds ratio (OR), and the generic inverse variance of OR or hazard ratio (HR) as reported in the included studies.

RESULTS

The mean age of the participants ranged from 56.3 to 72.3 years old. The difference in blood glucose levels between diabetes and non-diabetes patients was found to be statistically significant, with an SMD of 1.39 (95%CI: 1.12, 1.66, p < 0.00001). In diabetic patients, hyperglycemia was statistically significantly associated with mortality, with a HR of 1.92 (95% CI: 1.45, 2.55, p < 0.00001) and an OR of 1.76 (95% CI: 1.15, 2.7, p = 0.01). In non-diabetic patients admitted with AMI, hyperglycemia was statistically significantly associated with mortality, with a HR of 1.56 (95% CI: 1.31, 1.86, p < 0.00001) and an OR of 2.89 (95% CI: 2.47, 3.39, p < 0.00001). AMI patients who were diabetic were statistically more likely to have a major adverse cardiovascular event (MACE) (HR = 1.9; 95% CI: 1.19-3.03; p = 0.007). AMI patients who were not diabetic were also statistically more likely to have a MACE (HR = 1.6; 95% CI: 1.15-2.23, p = 0.006).

CONCLUSION

Hyperglycemia in AMI patients is a predictor of worse outcomes, including MACE and mortality, regardless of whether these patients are diabetic or not. In these patients, some factors act as predictors of mortality, including older age, higher glucose levels on admission, and a high Killip class.

The Impact of Body Mass Index on the Mortality of Myocardial Infarction Patients With Nonobstructive Coronary Arteries

OBJECTIVES

Myocardial infarction without significant stenosis or occlusion of the coronary arteries carries a high risk of recurrent major adverse cardiovascular events and poor prognosis. This study aimed to investigate the association between body mass index and outcomes in patients with a suspected myocardial infarction with nonobstructive coronary artery disease (MINOCA).

METHODS

Patients were recruited at Bergmannsheil University Hospital from January 2010 to April 2021. The primary outcomes were in-hospital and long-term mortality. Secondary outcomes consisted of adverse events during hospitalization and during follow-up.

RESULTS

A total of 373 patients were included in the study, with a mean follow-up time of 6.2 years. The patients were divided into different BMI groups: < 25 kg/m² (n = 121), 25-30 kg/m² (n = 140), and > 30 kg/m² (n = 112). In-hospital mortality was 1.7% versus 2.1% versus 4.5% (p = 0.368). However, long-term mortality tended to be higher in the < 25 kg/m² group compared to the 25-30 and > 30 kg/m² groups (log-rank p = 0.067). Subgroup analysis using Kaplan-Meier analysis showed a higher rate of cardiac cause of death in the < 25 kg/m² group compared to the 25-30 and > 30 kg/m² groups: 5.7% versus 1.1% versus 0.0% (log-rank p = 0.042). No significant differences were observed in other adverse events between the different BMI groups during hospitalization and long-term follow-up.

CONCLUSIONS

Patients with a BMI < 25 kg/m² who experience a suspected myocardial infarction without significant coronary artery disease may have higher all-cause mortality and cardiovascular cause of death. However, further data are needed to confirm these findings.

Prediction of Hospital Mortality in Patients with ST Segment Elevation Myocardial Infarction: Evolution of Risk Measurement Techniques and Assessment of Their Effectiveness (Review)

Risk stratification of hospital mortality in patients with ST segment elevation myocardial infarction on the electrocardiogram is an important part of the specialized medical care provision. The systematic review presents scientific literature data characterizing the predictive value of both classical prognostic scales (GRACE, CADDILLAC, TIMI risk score for STEMI, RECORD, etc.) and new risk measurement tools developed on the basis of modern machine learning techniques. Most studies on this issue are often focused on the search for new predictors of adverse events, which allow to detail the relations between indicators of the clinical and functional status of patients and the end point of the study. Here, an important task is to develop hospital mortality prognostic algorithms characterized by explainable artificial intelligence and trusted by doctors.

Effect of diabetes mellitus on 3-year outcomes in patients with acute myocardial infarction with nonobstructive coronary arteries

BACKGROUND

Diabetes mellitus (DM) is a significant factor in increased mortality rates among patients with acute myocardial infarction (AMI), but research on its impact on the long-term outcomes in patients with MI with nonobstructive coronary arteries (MINOCA) is limited. Thus, a comparison of the 3-year clinical outcomes between the DM and non-DM groups among patients with MINOCA was undertaken.

METHODS

From the Korea AMI Registry-National Institute of Health dataset, 10,774 AMI patients were enrolled. After applying the exclusion criteria, 379 patients with MINOCA were included. The primary clinical outcomes were major adverse cardiac and cerebrovascular events (MACCE), defined as all-cause death, recurrent myocardial infarction (MI), repeat coronary revascularization, and stroke. The secondary outcomes were the individual components of MACCE.

RESULTS

The adjusted hazard ratios for 3-year MACCE (2.287, p = 0.010), all-cause death (2.845, p = 0.004), and non-cardiac death (non-CD, 3.914, p = 0.008) were higher in the DM group than in the non-DM group. It is speculated that the higher non-CD rate in the MINOCA group is attributable to a higher proportion of patients with non-ST-segment elevation MI in the total study population. The CD, recurrent MI, revascularization, and stroke rates were similar between the DM and non-DM groups. DM, advanced age, cardiopulmonary resuscitation on admission, and non-use of statin medications were significant predictors of MACCE.

CONCLUSIONS

In this study involving patients with MINOCA, the DM group exhibited a higher 3-year mortality rate than the non-DM group. Thus, DM demonstrated a hazardous effect even in patients with MINOCA.

Acute Hyperglycemia-Induced Injury in Myocardial Infarction

Acute hyperglycemia is a transient increase in plasma glucose level (PGL) frequently observed in patients with ST-elevation myocardial infarction (STEMI). The aim of this review is to clarify the molecular mechanisms whereby acute hyperglycemia impacts coronary flow and myocardial perfusion in patients with acute myocardial infarction (AMI) and to discuss the consequent clinical and prognostic implications. We conducted a comprehensive literature review on the molecular causes of myocardial damage driven by acute hyperglycemia in the context of AMI. The negative impact of high PGL on admission recognizes a multifactorial etiology involving endothelial function, oxidative stress, production of leukocyte adhesion molecules, platelet aggregation, and activation of the coagulation cascade. The current evidence suggests that all these pathophysiological mechanisms compromise myocardial perfusion as a whole and not only in the culprit coronary artery. Acute hyperglycemia on admission, regardless of whether or not in the context of a diabetes mellitus history, could be, thus, identified as a predictor of worse myocardial reperfusion and poorer prognosis in patients with AMI. In order to reduce hyperglycemia-related complications, it seems rational to pursue in these patients an adequate and quick control of PGL, despite the best pharmacological treatment for acute hyperglycemia still remaining a matter of debate.

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.

The correlation of atherogenic index of plasma with non-obstructive CAD and unfavorable prognosis among patients diagnosed with MINOCA

BACKGROUND

The atherogenic index of plasma (AIP) is linked to lipid metabolism and has shown considerable prognostic value in cardiovascular disorders. However, its role in myocardial infarction with non-obstructive coronary arteries (MINOCA) has not been investigated. We assessed the relationship between AIP, the severity of coronary stenosis, and prognosis in MINOCA.

METHODS

We included consecutive patients who were diagnosed with MINOCA. AIP was calculated using the base 10 logarithm of the ratio between the levels of TG and HDL-C. The patients were divided into four groups based on their AIP quartiles: Q1 (AIP<-0.145), Q2 (AIP≥-0.145and≤0.049), Q3 (AIP>0.049and≤0.253), and Q4 (AIP>0.253). All patients underwent follow-up for MACE.

RESULTS

The final analysis included 421 patients, with 188 having normal coronaries (0 stenosis) and 233 exhibiting non-obstructive coronary artery disease (CAD) (<50 % stenosis). In the multivariate logistic analysis, highest AIP (Q4) group was significantly associated with increased risk of non-obstructive CAD in MINOCA (OR,1.994;95 % CI:1.075-3.698; P = 0.029). During the follow-up period, MACE occurred in 22.8 % of MINOCA patients. Q4 group exhibited a significantly higher rate of MACE (P = 0.021). Furthermore, when both AIP and coronary stenosis status were considered, the results revealed individuals in the Q4 group with non-obstructive CAD had the highest risk of MACE (log-rank P = 0.027). The adjusted Cox analysis indicated that the Q4 group was associated with a 2.052-fold increase in the HR of MACE.

CONCLUSION

AIP exhibits a notable association with the incidence of MACE in MINOCA patients and serves as a substantial marker for non-obstructive CAD in this patient group.

Clinical impact of multimodality assessment of myocardial viability

Coronary artery disease (CAD) is a prevalent cause of left ventricular dysfunction. Nevertheless, effective elective revascularization, particularly surgical revascularization, can enhance long-term outcomes and, in selected cases, global left ventricular contractility. The assessment of myocardial viability and scars is still relevant in guiding treatment decisions and selecting patients who are likely to benefit most from blood flow restoration. Although the most recent randomized studies challenge the notion of "hibernating myocardium" and the clinical usefulness of assessing myocardial viability, the advancement of imaging techniques still renders this assessment valuable in specific situations. According to the guidelines of the European Society of Cardiology, non-invasive stress imaging may be employed to define myocardial ischemia and viability in patients with CAD and heart failure before revascularization. Currently, several non-invasive imaging techniques are available to evaluate the presence and extent of viable myocardium. The selection of the most suitable technique should be based on the patient, clinical context, and resource availability. This narrative review evaluates the characteristics of available imaging modalities for assessing myocardial viability to determine the most appropriate therapeutic strategy.

Prehospital lactate-glucose interaction in acute life-threatening illnesses: metabolic response and short-term mortality

BACKGROUND AND IMPORTANCE

Lactate is an already recognized biomarker for short-term mortality. However, how glycemia and diabetes affect the predictive ability of lactate needs to be revealed.

OBJECTIVE

To determine how hypoglycemia, normoglycemia, and hyperglycemia modify the predictive ability of lactate for short-term mortality (3 days). The secondary objective was to evaluate the predictive ability of lactate in diabetic patients.

DESIGN, SETTINGS AND PARTICIPANTS

Prospective, observational study performed between 26 October 2018 and 31 December 2022. Multicenter, EMS-delivery, ambulance-based study, considering 38 basic life support units and 5 advanced life support units referring to four tertiary care hospitals (Spain). Eligible patients were adults recruited from among all phone requests for emergency assistance who were later evacuated to emergency departments.

OUTCOMES MEASURE AND ANALYSIS

The primary outcome was in-hospital mortality from any cause within the third day following EMS attendance. The main predictors considered were lactate, blood glucose levels and previous diabetes.

MAIN RESULTS

A total of 6341 participants fulfilled the inclusion criteria. 68 years (IQR: 51-80); 41.4% were female. The 3-day in-hospital mortality rate was 3.5%. The predictive capacity of lactate for 3-day mortality was only significantly different between normo-glycemia and hyperglycemia. The best predictive result was for normo-glycemia - AUC = 0.897 (95% CI: 0.881-0.913) - then hyperglycemia - AUC = 0.819 (95% CI: 0.770-0.868) and finally, hypoglycemia - AUC = 0.703 (95% CI: 0.422-0.983). The stratification according to diabetes presented no statistically significant difference, and the predictive results were AUC = 0.924 (95% CI: 0.892-0.956), AUC = 0.906 (95% CI: 0.884-0.928), and AUC = 0.872 (95% CI: 0.817-0.927) for nondiabetes, uncomplicated cases, and end-organ damage diabetes, respectively.

CONCLUSION

Our results demonstrated that glycemia, but not diabetes, alters the predictive ability of lactate. Therefore, hyperglycemia should be considered when interpreting lactate, since this could improve screening to detect cryptic shock conditions.

Mesenchymal stromal cells for improvement of cardiac function following acute myocardial infarction: a matter of timing

Acute myocardial infarction (AMI) is the leading cause of cardiovascular death and remains the most common cause of heart failure. Reopening of the occluded artery, i.e., reperfusion, is the only way to save the myocardium. However, the expected benefits of reducing infarct size are disappointing due to the reperfusion paradox, which also induces specific cell death. These ischemia-reperfusion (I/R) lesions can account for up to 50% of final infarct size, a major determinant for both mortality and the risk of heart failure (morbidity). In this review, we provide a detailed description of the cell death and inflammation mechanisms as features of I/R injury and cardioprotective strategies such as ischemic postconditioning as well as their underlying mechanisms. Due to their biological properties, the use of mesenchymal stromal/stem cells (MSCs) has been considered a potential therapeutic approach in AMI. Despite promising results and evidence of safety in preclinical studies using MSCs, the effects reported in clinical trials are not conclusive and even inconsistent. These discrepancies were attributed to many parameters such as donor age, in vitro culture, and storage time as well as injection time window after AMI, which alter MSC therapeutic properties. In the context of AMI, future directions will be to generate MSCs with enhanced properties to limit cell death in myocardial tissue and thereby reduce infarct size and improve the healing phase to increase postinfarct myocardial performance.

Effect of 24 h glucose fluctuations on 30-day and 1-year mortality in patients with acute myocardial infarction: an analysis from the MIMIC-III database

Background

It is recognized that patients' blood glucose fluctuates over time during acute disease episodes, especially during the outbreak of cardiovascular events, regardless of the presence of an abnormal blood glucose profile prior to admission to the hospital. Glucose fluctuations in patients with acute myocardial infarction (AMI) in the intensive care unit (ICU) are currently not adequately monitored and studied. We focused on blood glucose fluctuation values within 24 h of admission to assess their association with 30-day and 1-year mortality.

Methods

Data of patients with AMI aged 18 years or older from the Critical Care Medical Information Marketplace database III V1.4 were available for analysis in this research. Glucose data were obtained by measurement. A total of 390 of them were treated with PCI. The principal consequence was 30-day and 1-year mortality in patients with AMI. The effect of different glucose fluctuations within 24 h of admission on mortality was predicted by constructing a multivariate Cox regression model with four model adjustments and Kaplan-Meier survival curves. Additionally, we performed curve-fitting analyses to show the correlation between blood glucose fluctuations and risk of death.

Results

We selected 1,699 AMI patients into our study through screening. The included population was categorized into three groups based on the tertiles of blood glucose fluctuation values within 24 h of admission to the ICU. The three groups were <25 mg/dl, 25-88 mg/dl and >88 mg/dl. By cox regression analysis, the group with the highest blood glucose fluctuation values (>88 mg/dl) had the most significant increase in 30-day and 1-year mortality after excluding confounding factors (30-day mortality adjusted HR = 2.11; 95% CI = 1.49-2.98 p < 0.001; 1-year mortality adjusted HR = 1.83; 95% CI = 1.40-2.39 p < 0.001). As demonstrated by the Kaplan-Meier survival curves, the group with the greatest fluctuations in blood glucose has the worst 30-day and 1-year prognosis.

Conclusions

The extent of glucose fluctuations in patients with AMI in the first 24 h after ICU admission is an essential predictor as to 30-day as well as 1-year mortality. When blood glucose fluctuates more than 88 mg/dl within 24 h, mortality increases significantly with the range of blood glucose fluctuations.

Prognostic factors of MINOCA and their possible mechanisms

OBJECTIVE

Despite not showing substantial stenosis of coronary arteries, Myocardial Infarction with Non-Obstructive Coronary Arteries (MINOCA) presents with myocardial ischemia injury, thus having a grave prognosis and a high risk of long-term complications. This necessitates increased clinical attention and exploration of its root causes to prevent a similar crisis.

METHODS

Research on MINOCA is limited, especially in terms of its clinical attributes, long-term outlook, risk stratification, and prognosis-linked cardiometabolic risk factors. This review aims to fill these gaps, providing an extensive overview of clinical trials and studies on MINOCA to separate the issue from the presence of non-obstructive coronary arteries in cardiac patients.

RESULTS

It has been found that MINOCA patients still face a high risk of long-term adverse events. Due to social and physiological factors, the hospital mortality rate is higher among women, and they are also more susceptible to MINOCA. Cardiac metabolic risk factors, including disorder of glucose and lipid metabolism, as well as changes in serum CysC levels, have significant impacts on the occurrence and prognosis of MINOCA.

CONCLUSIONS

Further research is still needed to fully understand the complex biological mechanisms underlying the prognostic factors of MINOCA. A profound understanding of these factors could reveal potential targets for improving prognosis, thereby indicating new strategies for managing this cardiovascular condition.

Stress-induced hyperglycemia is associated with the mortality of thrombotic thrombocytopenic purpura patients

BACKGROUND

Thrombotic thrombocytopenic purpura (TTP) is a rare thrombotic microangiopathy with a rapid progression and high mortality rate. We aimed to explore early risk factors for mortality in patients with TTP.

METHODS

We conducted a retrospective analysis of 42 TTP patients that were admitted to our hospital between 2000 and 2021, with a median age of 49 (29-63) years. Risk factors for mortality were evaluated using multivariate logistic regression. Receiver operating characteristic curve analysis was used to determine the cut-off value of glucose for predicting mortality in patients, which was validated by comparison to a similar cohort in the published literature.

RESULTS

Elevated glucose level and reduced red blood cells (RBC) counts were risk factors for mortality in patients with TTP (glucose, odds ratio and 95% confidence interval: 2.476 [1.368-4.484]; RBC, odds ratio and 95% confidence interval: 0.095 [0.011-0.799]). The area under the curve of glucose was 0.827, and the cut-off value was 9.2 mmol/L, with a sensitivity of 75.0% and specificity of 95.8%. A total of 26 cases from the validation cohort had a sensitivity of 71.0% and a specificity of 84.0%. The change trends of the TTP-related laboratory indices differed during hospitalization.

CONCLUSION

Hyperglycemia at admission and unstable blood glucose levels during hospitalization may be potential predictors of mortality for TTP patients. The improved prognosis was associated with the recovery of platelet counts and a significant decrease in serum lactate dehydrogenase after five days of treatment.

Simultaneous assessment of stress hyperglycemia ratio and glycemic variability to predict mortality in patients with coronary artery disease: a retrospective cohort study from the MIMIC-IV database

BACKGROUND

Stress hyperglycemia and glycemic variability (GV) can reflect dramatic increases and acute fluctuations in blood glucose, which are associated with adverse cardiovascular events. This study aimed to explore whether the combined assessment of the stress hyperglycemia ratio (SHR) and GV provides additional information for prognostic prediction in patients with coronary artery disease (CAD) hospitalized in the intensive care unit (ICU).

METHODS

Patients diagnosed with CAD from the Medical Information Mart for Intensive Care-IV database (version 2.2) between 2008 and 2019 were retrospectively included in the analysis. The primary endpoint was 1-year mortality, and the secondary endpoint was in-hospital mortality. Levels of SHR and GV were stratified into tertiles, with the highest tertile classified as high and the lower two tertiles classified as low. The associations of SHR, GV, and their combination with mortality were determined by logistic and Cox regression analyses.

RESULTS

A total of 2789 patients were included, with a mean age of 69.6 years, and 30.1% were female. Overall, 138 (4.9%) patients died in the hospital, and 404 (14.5%) patients died at 1 year. The combination of SHR and GV was superior to SHR (in-hospital mortality: 0.710 vs. 0.689, p = 0.012; 1-year mortality: 0.644 vs. 0.615, p = 0.007) and GV (in-hospital mortality: 0.710 vs. 0.632, p = 0.004; 1-year mortality: 0.644 vs. 0.603, p < 0.001) alone for predicting mortality in the receiver operating characteristic analysis. In addition, nondiabetic patients with high SHR levels and high GV were associated with the greatest risk of both in-hospital mortality (odds ratio [OR] = 10.831, 95% confidence interval [CI] 4.494-26.105) and 1-year mortality (hazard ratio [HR] = 5.830, 95% CI 3.175-10.702). However, in the diabetic population, the highest risk of in-hospital mortality (OR = 4.221, 95% CI 1.542-11.558) and 1-year mortality (HR = 2.013, 95% CI 1.224-3.311) was observed in patients with high SHR levels but low GV.

CONCLUSIONS

The simultaneous evaluation of SHR and GV provides more information for risk stratification and prognostic prediction than SHR and GV alone, contributing to developing individualized strategies for glucose management in patients with CAD admitted to the ICU.

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.

Association between glucose-to-lymphocyte ratio and in-hospital mortality in acute myocardial infarction patients

BACKGROUND

Inflammation is involved in the development and progression of atherosclerosis. Recent studies indicated that glucose-to-lymphocyte ratio (GLR) level were significantly associated with the risk of mortality from inflammatory diseases, and showed a specific prognostic value. Herein, this study intended to explore the association between GLR level and in-hospital mortality in patients with acute myocardial infarction (AMI), and evaluate the predictive value of GLR on AMI prognosis.

METHODS

Data of patients with AMI were extracted from the Medical Information Mart for Intensive Care IV (MIMIC-IV) database in 2012-2019 in this retrospective cohort study. Univariate COX proportional hazard model was used to screen covariates. The associations between GLR and in-hospital mortality were evaluated using univariate and multivariate COX proportional hazard models. Subgroup analysis of age, gender, vasopressor use, SOFA scores, renal replacement therapy, coronary artery bypass graft, and β blockers use were performed. The evaluated index was hazard ratios (HRs) and 95% confidence intervals (CIs). In addition, the predictive performance of GLR, glucose, and lymphocytes on in-hospital mortality was assessed respectively.

RESULTS

Among eligible patients, 248 (13.74%) died in the hospital. After adjusting for covariates, we found that a higher GLR level was associated with an increased risk of in-hospital mortality [HR = 1.70, 95%CI: (1.24-2.34)]. This relationship was also found in patients who were male, aged ≥65 years old, did not have renal replacement therapy, coronary artery bypass graft, or β blockers, used vasopressor or not, and whatever the SOFA scores (all P<0.05). Moreover, the predictive performance of GLR on in-hospital mortality seemed superior to that of glucose or lymphocytes.

CONCLUSION

GLR may be a potential predictor for AMI prognosis, which provided some references for identifying and managing high-risk populations early in clinical.

Prognostic implications of stress hyperglycemia ratio in patients with myocardial infarction with nonobstructive coronary arteries

BACKGROUND

The role of stress hyperglycemia in acute myocardial infarction (AMI) has long been emphasized. Recently, the stress hyperglycemia ratio (SHR), a novel index reflecting an acute glycemia rise, has shown a good predictive value in AMI. However, its prognostic power in myocardial infarction with nonobstructive coronary arteries (MINOCA) remains unclear.

METHODS

In a prospective cohort of 1179 patients with MINOCA, relationships between SHR levels and outcomes were analyzed. SHR was defined as acute-to-chronic glycemic ratio using admission blood glucose (ABG) and glycated hemoglobin. The primary endpoint was defined as major adverse cardiovascular events (MACE), including all-cause death, nonfatal MI, stroke, revascularization, and hospitalization for unstable angina or heart failure. Survival analyses and receiver-operating characteristic (ROC) curve analyses were performed.

RESULTS

Over the median follow-up of 3.5 years, the incidence of MACE markedly increased with higher SHR tertile levels (8.1%, 14.0%, 20.5%; p < 0.001). At multivariable Cox analysis, elevated SHR was independently associated with an increased risk of MACE (HR 2.30, 95% CI: 1.21-4.38, p = 0.011). Patients with rising tertiles of SHR also had a significantly higher risk of MACE (tertile 1 as reference; tertile 2: HR 1.77, 95% CI: 1.14-2.73, p = 0.010; tertile 3: HR 2.64, 95% CI: 1.75-3.98, p < 0.001). SHR remained a robust predictor of MACE in patients with and without diabetes; whereas ABG was no longer associated with the MACE risk in diabetic patients. SHR showed an area under the curve of 0.63 for MACE prediction. By incorporating SHR to TIMI risk score, the combined model further improved the discrimination for MACE.

CONCLUSIONS

The SHR independently confers the cardiovascular risk after MINOCA, and may serve as a better predictor than glycemia at admission alone, particularly in those with diabetes.KEY MESSAGESStress hyperglycemia ratio (SHR) is independently associated with the prognosis in a distinct population with myocardial infarction with nonobstructive coronary arteries (MINOCA).SHR is a better predictor of prognosis than admission glycemia alone, especially in diabetic patients with MINOCA.SHR may serve as a prognostic marker for risk stratification as well as a potential target for tailored glucose-lowering treatment in MINOCA.

MINOCA biomarkers: Non-atherosclerotic aspects

Myocardial infarction in the absence of obstructive coronary artery disease (MINOCA) is an important subtype of myocardial infarction. Although comprising less than 50% stenosis in the main epicardial coronary arteries, it constitutes a severe health risk. A variety of approaches have been recommended, but definitive diagnosis remains elusive. In addition, the lack of a comprehensive understanding of underlying pathophysiology makes clinical management difficult and unpredictable. This review highlights ongoing efforts to identify relevant biomarkers in MINOCA to improve diagnosis, individualize treatment and better predict outcomes.

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.

The predictive value of machine learning for mortality risk in patients with acute coronary syndromes: a systematic review and meta-analysis

BACKGROUND

Acute coronary syndromes (ACS) are the leading cause of global death. Optimizing mortality risk prediction and early identification of high-risk patients is essential for developing targeted prevention strategies. Many researchers have built machine learning (ML) models to predict the mortality risk in ACS patients. Our meta-analysis aimed to evaluate the predictive value of various ML models in predicting death in ACS patients at different times.

METHODS

PubMed, Embase, Web of Science, and Cochrane Library were searched systematically from database establishment to March 12, 2022 for studies developing or validating at least one ML predictive model for death in ACS patients. We used PROBAST to assess the risk of bias in the reported predictive models and a random-effects model to assess the pooled C-index and accuracy of these models.

RESULTS

Fifty papers were included, involving 216 ML prediction models, 119 of which were externally validated. The combined C-index of the ML models in the validation cohort predicting the in-hospital mortality, 30-day mortality, 3- or 6-month mortality, and 1 year or above mortality in ACS patients were 0.8633 (95% CI 0.8467-0.8802), 0.8296 (95% CI 0.8134-0.8462), 0.8205 (95% CI 0.7881-0.8541), and 0.8197 (95% CI 0.8042-0.8354), respectively, with the corresponding combined accuracy of 0.8569 (95% CI 0.8411-0.8715), 0.8282 (95% CI 0.7922-0.8591), 0.7303 (95% CI 0.7184-0.7418), and 0.7837 (95% CI 0.7455-0.8175), indicating that the ML models were relatively excellent in predicting ACS mortality at different times. Furthermore, common predictors of death in ML models included age, sex, systolic blood pressure, serum creatinine, Killip class, heart rate, diastolic blood pressure, blood glucose, and hemoglobin.

CONCLUSIONS

The ML models had excellent predictive power for mortality in ACS, and the methodologies may need to be addressed before they can be used in clinical practice.

Association between the neutrophil-to-lymphocyte ratio and risk of in-hospital heart failure and arrhythmia in patients with acute myocardial infarction

Background

This study was to probe into the relationship between the neutrophil-to-lymphocyte ratio (NLR) and both in-hospital and long-term heart failure risk in patients with acute myocardial infarction (AMI).

Methods

990 patients with AMI, including 386 with non-ST-segment elevation myocardial infarction (NSTEMI) and 604 with segment elevation myocardial infarction (STEMI) were recruited between January 2019 and March 2022. The in-hospital acute heart failure (AHF) and arrhythmia events were recorded.

Results

The NLR was significantly greater in the AHF group in STEMI and NSTEMI patients, with a higher frequency of arrhythmia in comparison to the non-AHF group. A high NLR was related to a high level of myocardial injury markers, accompanied with more AHF and arrhythmia events. Multivariate logistic regression analyses revealed that high NLR is independently linked with increased in-hospital AHF and arrhythmia risk. Receiver operating characteristic curve analyses revealed that the prognostic value of NLR for in-hospital AHF was 0.704 in STEMI patients and 0.766 in NSTEMI patients. However, during a median follow-up of 28 months with 32 heart failure patients, there was no significant difference between the low NLR group (n = 18) and the high NLR group (n = 14). Further analysis showed that the two groups did not significantly differ in the occurrence of heart failure within 12 months of discharge.

Conclusion

Our results indicate that NLR is an independent risk factor of in-hospital AHF in AMI patients. However, NLR has no value in predicting long-term heart failure.

Prevalence and prognostic impact of stress-induced hyperglycemia in patients with acute type A aortic dissection

AIMS

To explore the prevalence of stress-induced hyperglycemia (SIH) in acute type A aortic dissection (ATAAD) patients without diabetes, and its impact on short-term and long-term clinical outcomes.

METHODS

A total of 1098 patients with confirmed diagnosis of ATAAD were consecutively enrolled. According to the admission blood glucose (BG), patients were divided into the normoglycemia group (BG < 7.8 mmol/L), mild to moderate SIH group (7.8 ≤ BG < 11.1 mmol/L) and severe SIH group (BG ≥ 11.1 mmol/L). Multivariate regression analysis were used to explore the association between SIH and mortality risk.

RESULTS

There were 421 ATAAD patients (38.3%) with SIH, including 361 cases (32.9%) in the mild to moderate group and 60 cases (5.46%) in the severe group. The proportion of high-risk clinical manifestations and conservative treatment was greater in the SIH group than the normoglycemia group. Severe SIH was associated with high risk of 30-day (OR: 3.773, 95%CI: 1.004-14.189, P = 0.0494) and 1-year mortality risk (OR: 3.522 95%CI: 1.018-12.189, P = 0.0469).

CONCLUSIONS

Approximately 40% of the patients with ATAAD had SIH, and were more likely to present with high-risk clinical features and receive non-surgical treatment. Severe SIH could be used as an independent predictor of increased short-term and long-term mortality risk and reflect the disease severity of ATAAD.

Performance of Prognostic Scoring Systems in MINOCA: A Comparison among GRACE, TIMI, HEART, and ACEF Scores

Background: the prognosis of patients with myocardial infarction with non-obstructive coronary arteries (MINOCA) is not benign; thus, prompting the need to validate prognostic scoring systems for this population. Aim: to evaluate and compare the prognostic performance of GRACE, TIMI, HEART, and ACEF scores in MINOCA patients. Methods: A total of 250 MINOCA patients from January 2017 to September 2021 were included. For each patient, the four scores at admission were retrospectively calculated. The primary outcome was a composite of all-cause death and acute myocardial infarction (AMI) at 1-year follow-up. The ability to predict 1-year all-cause death was also tested. Results: Overall, the tested scores presented a sub-optimal performance in predicting the composite major adverse event in MINOCA patients, showing an AUC ranging between 0.7 and 0.8. Among them, the GRACE score appeared to be the best in predicting all-cause death, reaching high specificity with low sensitivity. The best cut-off identified for the GRACE score was 171, higher compared to the cut-off of 140 generally applied to identify high-risk patients with obstructive AMI. When the scores were tested for prediction of 1-year all-cause death, the GRACE and the ACEF score showed very good accuracy (AUC = 0.932 and 0.828, respectively). Conclusion: the prognostic scoring tools, validated in AMI cohorts, could be useful even in MINOCA patients, although their performance appeared sub-optimal, prompting the need for risk assessment tools specific to MINOCA patients.

Do Patients with Myocardial Infarction with Non-Obstructive Coronary Arteries Have Similar Prognosis Compared to Ones with MI-CAD?

Acute myocardial infarction (AMI) is a leading cause of morbidity and mortality worldwide and it is primarily caused by acute plaque disruption and coronary occlusion. Recent studies suggest that myocardial infarction with non-obstructive coronary arteries (MINOCA) also occurs but the underlying mechanisms have not been fully understood until recently. The evidence also suggests that the clinical outcomes of patients presenting with MINOCA are similar to AMI patients with obstructive coronary artery disease (MI-CAD), including all-cause mortality and major adverse cardiovascular events. The present narrative review considers the risk factors, pathological changes, and outcomes associated with MINOCA and compares them with MI-CAD.

Myocardial infarction with nonobstructive coronary arteries: from pathophysiology to therapeutic strategies

Myocardial infarction with nonobstructive coronary arteries (MINOCA) is a heterogeneous group of clinical entities characterized by clinical evidence of acute myocardial infarction (AMI) with normal or near-normal coronary arteries on coronary angiography (stenosis < 50%) and without an over the alternative diagnosis for the acute presentation. Its prevalence ranges from 6% to 11% among all patients with AMI, with a predominance of young, nonwhite females with fewer traditional risks than those with an obstructive coronary artery disease (MI-CAD). MINOCA can be due to either epicardial causes such as rupture or fissuring of unstable nonobstructive atherosclerotic plaque, coronary artery spasm, spontaneous coronary dissection and cardioembolism in-situ or microvascular causes. Besides, also type-2 AMI due to supply-demand mismatch and Takotsubo syndrome must be considered as a possible MINOCA cause. Because of the complex etiology and a limited amount of evidence, there is still some confusion around the management and treatment of these patients. Therefore, the key focus of this condition is to identify the underlying individual mechanisms to achieve patient-specific treatments. Clinical history, electrocardiogram, echocardiography, and coronary angiography represent the first-level diagnostic investigations, but coronary imaging with intravascular ultrasound and optical coherent tomography, coronary physiology testing, and cardiac magnetic resonance imaging offer additional information to understand the underlying cause of MINOCA. Although the prognosis is slightly better compared with MI-CAD patients, MINOCA is not always benign and depends on the etiopathology. This review analyzes all possible pathophysiological mechanisms that could lead to MINOCA and provides the most specific and appropriate therapeutic approach in each scenario.

Stress hyperglycemia ratio: an independent predictor for in-hospital major adverse cardiovascular and cerebrovascular events in patients with st-segment elevation myocardial infarction

BACKGROUND

To assess the predictive accuracy of the stress hyperglycemia ratio (SHR) for in-hospital major adverse cardiovascular and cerebrovascular events (MACCE) in patients with ST-segment elevation myocardial infarction (STEMI).

METHODS

A total of 1,944 patients were enrolled within 24 h of a new STEMI diagnosis. The SHR was obtained by dividing the blood glucose level at admission by the estimated average glucose. MACCE were defined as acute cerebral infarction, mechanical complications of myocardial infarction, cardiogenic shock, and all-cause death. Patients were then categorized into the MACCE and non-MACCE groups according to the occurrence of in-hospital MACCE. Propensity score matching was used to balance confounding factors, and logistic regression was used to identify the potential predictive factors for MACCE.

RESULTS

A total of 276 patients were included after 1:1 matching, and the confounding factors were balanced between the two groups. The SHR was an independent predictor of in-hospital MACCE (odds ratio = 10.06, 95% confidence interval: 4.16-27.64, P < 0.001), while blood glucose at admission was not. The SHR was also an independent predictor for in-hospital MACCE in nondiabetic patients with STEMI (odds ratio = 11.26, 95% confidence interval: 3.05-55.21, P < 0.001).

CONCLUSION

SHR is an independent predictor of in-hospital MACCE in patients with acute STEMI, especially in nondiabetic patients.

Predictors of Long-Term Mortality in Patients with Stable Angina Pectoris and Coronary Slow Flow

Background and Objectives: Coronary slow flow (CSF) is an angiographic phenomenon characterized by the slow progression of an injected contrast agent during diagnostic coronary angiography in the absence of significant stenosis. Although CSF is a common angiographic finding, the long-term outcomes and mortality rates are still unknown. This study aimed to investigate the underlying causes of mortality over a 10-year period in patients diagnosed with stable angina pectoris (SAP) and CSF. Materials and Methods: This study included patients with SAP who underwent coronary angiography from 1 January 2012 to 31 December 2012. All patients displayed CSF despite having angiographically normal coronary arteries. Hypertension (HT), diabetes mellitus (DM), hyperlipidaemia, medication compliance, comorbidities, and laboratory data were recorded at the time of angiography. Thrombolysis in myocardial infarction (TIMI) frame count (TFC) was calculated for each patient. The cardiovascular (CV) and non-CV causes of long-term mortality were assessed. Results: A total of 137 patients with CSF (93 males; mean age: 52.2 ± 9.36 years) were included in this study. Twenty-one patients (15.3%) died within 10 years of follow-up. Nine (7.2%) and 12 (9.4%) patients died of non-CV and CV causes, respectively. Total mortality in patients with CSF was associated with age, HT, discontinuation of medications, and high-density lipoprotein cholesterol (HDL-C) levels. The mean TFC was associated with CV mortality. Conclusion: Patients with CSF exhibited a notable increase in cardiovascular-related and overall mortality rates after 10 years of follow-up. HT, discontinuation of medications, HDL-C levels, and mean TFC were associated with mortality in patients with CSF.

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

BACKGROUND

In recent years, several studies have demonstrated that stress hyperglycemia is significantly associated with poor prognosis in patients diagnosed with acute coronary syndrome (ACS). In the present study, we aimed to investigate the potential associations between various markers of stress hyperglycemia, such as admission blood glucose (ABG), fasting blood sugar (FBS), and stress hyperglycemia ratio (SHR) with different definitions, and the occurrence of adverse cardiovascular events in patients diagnosed with ST-elevation myocardial infarction (STEMI) who have undergone percutaneous coronary intervention (PCI).

METHODS

Our study enrolled a total of 1099 patients diagnosed with STEMI who underwent PCI from 2016 to 2021. The primary outcomes of this study were in-hospital death and all-cause mortality.

RESULTS

Stress hyperglycemia was associated with a higher incidence of in-hospital death (ABG OR: 1.27 95% CI 1.19-1.36; FBS OR: 1.25 95% CI 1.16-1.35; SHR1 OR: 1.61 95% CI 1.21-2.14; SHR2 OR: 1.57, 95%CI 1.22-2.01; SHR3 OR: 1.59, 95%CI 1.24-2.05) and all-cause mortality (ABG HR: 1.10, 95% CI 1.07-1.14; FBS HR: 1.12, 95 CI 1.07-1.17; SHR1 HR: 1.19 95% CI 1.03-1.39; SHR2 HR: 1.28, 95%CI 1.14-1.44; SHR3 HR: 1.29, 95%CI 1.14-1.45) after adjusting for ischemic time, age, gender, BMI, hypertension, hyperlipidemia, diabetes mellitus (DM), current smoking history, chronic kidney disease (CKD), previous history of coronary artery disease (CAD), atrial fibrillation (AF), heart failure (HF), stroke, cancer, culprit vessel, multi-vessel disease. These associations exhibited a non-linear, J-shaped pattern, wherein the risk significantly increased when the ABG and FBS levels exceeded 5mmol/L. Moreover, the inflection point for SHR was estimated to be 1.2.

CONCLUSIONS

Stress hyperglycemia was significantly associated with an increased risk of in-hospital death and all-cause mortality in STEMI patients treated with PCI. Stress hyperglycemia should be considered a high-risk prognostic marker in all STEMI patients, regardless of with or without diabetes.

Impact of the Stress Hyperglycemia Ratio on In-Hospital and Long-Term Poor Prognosis in Patients with Acute Myocarditis

Background

Few studies have focused on the impact of stress hyperglycemia on adverse outcomes in patients with acute myocarditis. We conducted the present study to assess the association between the stress hyperglycemia ratio (SHR) and poor prognosis in patients with acute myocarditis.

Methods

From 2006 to 2020, 185 patients with acute myocarditis were enrolled. The SHR was defined as glucose at admission divided by estimated average glucose ([(1.59 × HbA1c %) - 2.59], glycated hemoglobin [HbA1c]). Participants were divided into two groups according to their SHR values. The primary endpoint was defined as in-hospital major adverse cardiovascular events (MACE), including death, heart transplantation, the need for mechanical circulatory support (MCS), and transfer to the intensive care unit (ICU). The secondary endpoint was defined as long-term MACE.

Results

Subjects in the higher SHR group had more serious conditions, including lower systolic blood pressure, higher heart rate, higher white blood cell count, higher levels of alanine transaminase, troponin I, and C-reactive protein, and worse cardiac function. Multivariate logistic analysis showed that SHR > 1.12 (hazard ratio (HR): 3.946, 95% confidence interval (CI): 1.098-14.182; p = 0.035) was independently associated with in-hospital MACE in patients with acute myocarditis. Kaplan-Meier survival analysis and multivariate Cox analysis suggested that an SHR > 1.39 (HR: 1.931, 95% CI: 0.323-2.682; p = 0.895) was not significantly associated with long-term prognosis.

Conclusions

SHR was independently associated with in-hospital adverse outcomes in patients with acute myocarditis but not with long-term prognosis.

Diagnostic and Prognostic Role of Cardiac Magnetic Resonance in MINOCA: Systematic Review and Meta-Analysis

BACKGROUND

Myocardial infarction with nonobstructive coronary arteries (MINOCA) is common in current clinical practice. Cardiac magnetic resonance (CMR) plays an important role in its management and is increasingly recommended by all the current guidelines. However, the prognostic value of CMR in patients with MINOCA is still undetermined.

OBJECTIVES

The purpose of this study was to determine the diagnostic and prognostic value of CMR in the management of patients with MINOCA.

METHODS

A systematic review was performed to identify studies reporting the results of CMR findings in patients with MINOCA. Random effects models were used to determine the prevalence of different disease entities: myocarditis, myocardial infarction (MI), or takotsubo syndrome. Pooled odds ratios (ORs) and 95% CIs were calculated to evaluate the prognostic value of CMR diagnosis in the subgroup of studies that reported clinical outcomes.

RESULTS

A total of 26 studies comprising 3,624 patients were included. The mean age was 54.2 ± 5.3 years, and 56% were men. MINOCA was confirmed in only 22% (95% CI: 0.17-0.26) of the cases and 68% of patients with initial MINOCA were reclassified after the CMR assessment. The pooled prevalence of myocarditis was 31% (95% CI: 0.25-0.39), and takotsubo syndrome 10% (95% CI: 0.06-0.12). In a subgroup analysis of 5 studies (770 patients) that reported clinical outcomes, CMR diagnosis of confirmed MI was associated with an increased risk of major adverse cardiovascular events (pooled OR: 2.40; 95% CI: 1.60-3.59).

CONCLUSIONS

In patients with MINOCA, CMR has been demonstrated to add an important diagnostic and prognostic value, proving to be crucial for the diagnosis of this condition. Sixty-eight percent of patients with initial MINOCA were reclassified after the CMR evaluation. CMR-confirmed diagnosis of MINOCA was associated with an increased risk of major adverse cardiovascular events at follow-up.

Nonobstructive coronary atherosclerosis is associated with adverse prognosis among patients diagnosed with myocardial infarction without obstructive coronary arteries

BACKGROUND AND AIMS

The prognostic impact of nonobstructive coronary artery disease (CAD), as opposed to normal coronary arteries, on long-term outcomes of patients with myocardial infarction with no obstructive coronary arteries (MINOCA) is unclear. We aimed to address the association between nonobstructive-CAD and major adverse events (MAE) following MINOCA.

METHODS

We conducted a retrospective cohort study of consecutive MINOCA patients admitted to a large referral medical center between 2005 and 2018. Patients were classified according to coronary angiography as having either normal-coronaries or nonobstructive-CAD. The primary outcome was MAE, defined as the composite of all-cause mortality and recurrent acute coronary syndrome (ACS).

RESULTS

Of the 1544 MINOCA patients, 651 (42%) had normal coronaries, and 893 (58%) had CAD. The mean age was 61.2 ± 12.6 years, and 710 (46%) were females. Nonobstructive-CAD patients were older and less likely to be females, with higher rates of diabetes, hypertension, dyslipidemia, atrial fibrillation, and chronic renal-failure (p < 0.05). At a median follow-up of 7 years, MAE occurred in 203 (23%) patients and 67 (10%) patients in the nonobstructive-CAD and normal-coronaries groups, respectively (p < 0.01). In multivariable models, nonobstructive -CAD was significantly associated with long-term MAE [adjusted-hazard-ratio (aHR):1.67, 95% confidence-interval (95%CI):1.25-2.23; p < 0.001]. Other factors associated with a higher MAE-risk were older-age (aHR:1.05,95%CI:1.03-1.06; p < 0.001) and left ventricular ejection-fraction<40% (aHR:3.04,95%CI:2.03-4.57; p < 0.001), while female-sex (aHR:0.72, 95%CI: 0.56-0.94; p=0.014) and sinus rhythm at presentation (aHR:0.66, 95%CI: 0.44-0.98; p=0.041) were associated with lower MAE-risk.

CONCLUSIONS

In MINOCA, nonobstructive-CAD is independently associated with a higher MAE-risk than normal-coronaries. This finding may promote risk-stratification of patients with nonobstructive-CAD-MINOCA who require tighter medical follow-up and treatment optimization.

Association of stress hyperglycemia ratio and poor long-term prognosis in patients with myocardial infarction with non-obstructive coronary arteries

BACKGROUND

Stress hyperglycemia ratio (SHR) is a novel biomarker of true acute hyperglycemia condition and is associated with a worse prognosis in patients with myocardial infarction (MI). However, the effects of SHR in the setting of MI with non-obstructive coronary arteries (MINOCA) have not been investigated. This study aimed to explore the association between SHR and long-term clinical outcomes among MINOCA patients.

METHODS

A total of 410 MINOCA patients were included in the final analysis of this study. The patients were divided into three groups based on the SHR tertiles: [SHR1 group (SHR ≤ 0.73), (n = 143); SHR2 group (SHR 0.73-0.84), n = 131; and SHR3 group (SHR ≥ 0.84), n = 136]. Follow-up for major adverse cardiovascular events (MACE) was conducted on all patients. Cox regression and Kaplan-Meier curve analysis were used to evaluate the relationship between SHR and MACE. The receiver operating curve (ROC) analysis was applied to obtain the optimal cut-off value of SHR for predicting clinical MACE.

RESULTS

A total of 92 patients developed MACE during the mean 34 months of follow-up. A significant increase in MACE was observed in the SHR3 group compared to the SHR1 and SHR2 groups (35.3% vs. 15.4% and 16.8%, respectively; P < 0.001). The Kaplan-Meier curves demonstrate that SHR3 patients had the highest MACE risk compared to SHR1 and SHR2 patients (log-rank P < 0.001). In addition, when both SHR tertiles and diabetes status were considered, those with SHR3 and diabetes had the highest hazard of MACE (log-rank P < 0.001). Multivariate Cox regression analysis showed that the SHR3 is associated with a 2.465-fold increase in the risk of MACE (adjusted HR, 2.465; 95% CI 1.461-4.159, P = 0.001). The ROC curve analysis showed that the optimal SHR cut-off value for predicting clinical MACE among MINOCA was 0.86.

CONCLUSION

Our data indicates, for the first time, that SHR is independently associated with poor long-term prognosis in patients suffering from MINOCA. The optimal SHR cut-off value for predicting clinical MACE among MINOCA patients was 0.86. These findings suggest that SHR may play a potential role in the cardiovascular risk stratification of the MINOCA population.

Outcomes in diabetic patients treated with SGLT2-Inhibitors with acute myocardial infarction undergoing PCI: The SGLT2-I AMI PROTECT Registry

AIMS

To investigate in-hospital and long-term prognosis in T2DM patients presenting with acute myocardial infarction (AMI) treated with SGLT2-I versus other oral anti-diabetic agents (non-SGLT2-I users).

METHODS

In this multicenter international registry all consecutive diabetic AMI patients undergoing percutaneous coronary intervention between 2018 and 2021 were enrolled and, based on the admission anti-diabetic therapy, divided into SGLT-I users versus non-SGLT2-I users. The primary endpoint was defined as a composite of cardiovascular death, recurrent AMI, and hospitalization for HF (MACE). Secondary outcomes included i) in-hospital cardiovascular death, recurrent AMI, occurrence of arrhythmias, and contrast-induced acute kidney injury (CI-AKI); ii) long-term cardiovascular mortality, recurrent AMI, heart failure (HF) hospitalization.

RESULTS

The study population consisted of 646 AMI patients (with or without ST-segment elevation): 111 SGLT2-I users and 535 non-SGLT-I users. The use of SGLT2-I was associated with a significantly lower in-hospital cardiovascular death, arrhythmic burden, and occurrence of CI-AKI (all p < 0.05). During a median follow-up of 24 ± 13 months, the primary composite endpoint, as well as cardiovascular mortality and HF hospitalization were lower for SGLT2-I users compared to non-SGLT2-I patients (p < 0.04 for all). After adjusting for confounding factors, the use of SGLT2-I was identified as independent predictor of reduced MACE occurrence (HR=0.57; 95%CI:0.33-0.99; p = 0.039) and HF hospitalization (HR=0.46; 95%CI:0.21-0.98; p = 0.041).

CONCLUSIONS

In T2DM AMI patients, the use of SGLT2-I was associated with a lower risk of adverse cardiovascular outcomes during index hospitalization and long-term follow-up. Our findings provide new insights into the cardioprotective effects of SGLT2-I in the setting of AMI.

REGISTRATION

Data are part of the observational international registry: SGLT2-I AMI PROTECT.

CLINICALTRIALS

gov Identifier: NCT05261867.