The association of diabetes and admission blood glucose with 30-day mortality in patients with acute myocardial infarction complicated by cardiogenic shock

The prognostic impact of stress hyperglycemia ratio on mortality in cardiogenic shock: a MIMIC-IV database analysis

BACKGROUND

The stress hyperglycemia ratio (SHR) has been established as a predictor of unfavorable outcomes across various diseases. However, its relationship with prognosis in patients with cardiogenic shock (CS) remains unclear. This study aims to investigate the association between SHR and outcomes in CS patients.

METHODS

A total of 904 CS patients with their first ICU admission were included in this study, utilizing data from the American Medical Information Mart for Intensive Care (MIMIC-IV) database. The primary endpoints were all-cause mortality at 30 days and 360 days. Patients were stratified into three groups based on the tertiles of the SHR.

RESULTS

The mean age of the cohort was 67.62 years, with 67.3% of participants being men. During the follow-up period, 221 patients (24.4%) died within 30 days, and 360 patients (39.8%) died within 360 days. The 30-day all-cause mortality rates were 16.9%, 22.3%, and 34.2% in the T1, T2, and T3 groups, respectively (p < 0.001), while the 360-day all-cause mortality rates were 34.9%, 39.0%, and 45.6%, respectively (p = 0.015). Compared with patients in T1, those in T3 exhibited a significantly higher risk of 30-day all-cause mortality (HR = 2.140, 95% CI: 1.522-3.008, p < 0.001) and 360-day all-cause mortality (HR = 1.495, 95% CI: 1.157-1.931, p = 0.002). Restricted cubic spline (RCS) analyses demonstrated an approximately linear relationship between SHR and 360-day all-cause mortality (p for overall = 0.011; p for nonlinearity = 0.099). However, a nonlinear association was observed between SHR and 30-day all-cause mortality (p for overall < 0.001; p for nonlinearity = 0.030), with the risk increasing significantly when SHR exceeded 1.176. Subgroup analyses revealed that the effect of SHR was consistent across most subgroups except in patients with and without acute myocardial infarction (AMI). In patients with AMI, SHR was associated with a significantly elevated risk of mortality, whereas no significant association was observed in patients without AMI. For 30-day all-cause mortality, the HR was 1.059 (95% CI: 1.040-1.078) in patients with AMI and 1.002 (95% CI: 0.966-1.040) in those without AMI (p for interaction = 0.007). For 360-day all-cause mortality, the HR was 1.043 (95% CI: 1.026-1.061) in patients with AMI and 0.984 (95% CI: 0.955-1.014) in those without AMI (p for interaction < 0.001).

CONCLUSION

Elevated SHR was significantly associated with increased 30-day and 360-day all-cause mortality in patients with CS, particularly in those with CS complicated by AMI. SHR may serve as a valuable marker for risk stratification and guiding subsequent interventions in CS patients. However, further prospective studies are needed to confirm these findings.

Cardiogenic Shock: Focus on Non-Cardiac Biomarkers

PURPOSE OF REVIEW

To examine the evolving multifaceted nature of cardiogenic shock (CS) in the context of non-cardiac biomarkers that may improve CS management and risk stratification.

RECENT FINDINGS

There are increasing data highlighting the role of lactate, glucose, and other markers of inflammation and end-organ dysfunction in CS. These biomarkers provide a more comprehensive understanding of the concurrent hemo-metabolic and cellular disturbances observed in CS and offer insights beyond standard structural and functional cardiac assessments. Non-cardiac biomarkers both refine the diagnostic accuracy and improve the prognostic assessments in CS. Further studies revolving around novel biomarkers are warranted to support more targeted and effective therapeutic and management interventions in these high-risk patients.

Longitudinal trajectories of blood glucose and 30-day mortality in patients with diabetes mellitus combined with acute myocardial infarction: A retrospective cohort analysis of the MIMIC database

BACKGROUND

Although blood glucose changes have been suggested to be a potential better target for clinical control than baseline blood glucose levels, the association of blood glucose changes with the prognosis in acute myocardial infarction (AMI) patients with diabetes mellitus (DM) is unclear. Herein, this study aimed to investigate association of short-term longitudinal trajectory of blood glucose with 30-day mortality in this population.

METHODS

Data of AMI patients with DM were extracted from the Medical Information Mart for Intensive Care (MIMIC) database in 2003-2019 in this retrospective cohort study. The latent growth mixture modeling (LGMM) model was utilized to classify the 24-hour longitudinal trajectory of blood glucose of the patients. Kaplan-Meier (KM) curve was drawn to show 30-day mortality risk in patients with different trajectory classes. Univariate and multivariate Cox regression analyses were employed to explore the association of longitudinal trajectory of blood glucose within 24 hours after the ICU admission with 30-day mortality. Also, subgroups analysis of age, gender, and AMI types was performed. The evaluation indexes were hazard ratios (HRs) and 95% confidence intervals (CIs).

RESULTS

Among 1,523 eligible patients, 227 (14.9%) died within 30 days. We identified 4 longitudinal trajectories of blood glucose, including class 1 (a low initial average blood glucose level with steady trend within 24 hours), class 2 (a high initial average blood glucose with gently decreased trend), class 3 (the highest initial average blood glucose with rapidly decreased trend) and class 4 (a high initial average blood glucose level with the trend that increased at first and then decreased). After adjusting for covariates, an average blood glucose level of ≥200 mg/dL was linked to higher risk of 30-day mortality, comparing to that of <140 mg/dL (HR = 1.80, 95%CI: 1.23-2.63). Comparing to patients whose longitudinal trajectory of blood glucose conformed to class 1, those with class 2 (HR = 2.52, 95%CI: 1.79-3.53) or class 4 (HR = 3.53, 95%CI: 2.07-6.03) seemed to have higher risk of 30-day mortality. Additionally, these associations were also significant in aged ≥60 years old, female, male, NSTEMI, and STEMI subgroups (all P<0.05).

CONCLUSION

A low level of average blood glucose at the ICU admission or reducing blood glucose to a normal level quickly with adequate measures in 24 hours after ICU admission may be beneficial for AMI patients with DM to reduce the risk of 30-day mortality. These findings may provide some information for further exploration on appropriate range of blood glucose changes in clinical practice.

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 glycemic gap as a prognostic indicator in cardiogenic shock: a retrospective cohort study

BACKGROUND

Stress-induced hyperglycemia (SIH) is associated with poor outcomes in cardiogenic shock (CS), and there have been inconsistent results among patients with or without diabetes mellitus (DM). The glycemic gap (GG) is derived by subtracting A1c-derived average glucose from blood glucose levels; it is a superior indicator of SIH. We aimed to explore the role of GG in the outcomes of patients with CS.

METHODS

Data on patients diagnosed with CS were extracted from the MIMIC-IV v2.0 database to investigate the relationship between GG and 30-day mortality (Number of absolute GG subjects = 359; Number of relative GG subjects = 357). CS patients from the Second Affiliated Hospital of Wenzhou Medical University were enrolled to explore the correlation between GG and lactic acid (Number of absolute GG subjects = 252; Number of relative GG subjects = 251). Multivariate analysis, propensity score-matched (PSM) analysis, inverse probability treatment weighting (IPTW), and Pearson correlation analysis were applied.

RESULTS

Absolute GG was associated with 30-day all-cause mortality in CS patients (HRadjusted: 1.779 95% CI: 1.137-2.783; HRPSM: 1.954 95% CI: 1.186-3.220; HRIPTW: 1.634 95% CI: 1.213-2.202). The higher the absolute GG level, the higher the lactic acid level (βadjusted: 1.448 95% CI: 0.474-2.423). A similar trend existed in relative GG (HRadjusted: 1.562 95% CI: 1.003-2.432; HRPSM: 1.790 95% CI: 1.127-2.845; HRIPTW: 1.740 95% CI: 1.287-2.352; βadjusted:1.294 95% CI: 0.369-2.219). Subgroup analysis showed that the relationship existed irrespective of DM. The area under the curve of GG combined with the Glasgow Coma Scale (GCS) for 30-day all-cause mortality was higher than that of GCS (absolute GG: 0.689 vs. 0.637; relative GG: 0.688 vs. 0.633). GG was positively related to the triglyceride-glucose index. Kaplan-Meier curves revealed that groups of higher GG with DM had the worst outcomes. The outcomes differed among races and GG levels (all P < 0.05).

CONCLUSIONS

Among patients with CS, absolute and relative GGs were associated with increased 30-day all-cause mortality, regardless of DM. The relationship was stable after multivariate Cox regression analysis, PSM, and IPTW analysis. Furthermore, they reflect the severity of CS to some extent. Hyperlactatemia and insulin resistance may underlie the relationship between stress-induced hyperglycemia and poor outcomes in CS patients. They both improve the predictive efficacy of the GCS.

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.

Blood glucose and lactate levels as early predictive markers in patients presenting with cardiogenic shock: A retrospective cohort study

Lactate and glucose are widely used biochemical parameters in current predictive risk scores for cardiogenic shock. Data regarding the relationship between lactate and glucose levels in cardiogenic shock are limited. Thus, we aimed to analyze glucose and lactate as early markers for in-hospital mortality in cardiogenic shock. In this retrospective cohort study, 312 patients presenting with cardiogenic shock to a tertiary-care hospital between 2016 and 2018 were included. Apparent cardiogenic shock was defined as hypoperfusion with hemodynamic compromise and biochemical marker increase due to diminished tissue perfusion, corresponding to SCAI shock stages. In-hospital mortality was assessed as the primary endpoint. The median age of the study population was 71 (60-79) years and the etiology of cardiogenic shock was acute myocardial infarction in 45.8%. Overall in-hospital mortality was 67.6%. In the receiver operating curve analysis, the area under the receiver-operating curve (AUC) for prediction of in-hospital mortality was higher for lactate (AUC: 0.757) than for glucose (AUC: 0.652). Both values were significantly associated with outcome (groups created with best cutoff values obtained from the Youden index). Correlation analysis showed a significant non-linear association of both values. In a multivariable stepwise Cox regression analysis, lactate remained an independent predictor for in-hospital mortality, whilst glucose, despite being implicated in energy metabolism, was not independently predictive for mortality. Together, these data suggest that lactate at admission is superior for mortality prediction in patients with apparent cardiogenic shock. Glucose was not independently predictive for mortality.

Comparison of admission glycemic variability and glycosylated hemoglobin in predicting major adverse cardiac events among type 2 diabetes patients with heart failure following acute ST-segment elevation myocardial infarction

Background and Objectives

Hyperglycemia is associated with adverse outcomes in patients with acute myocardial infarction (AMI) as well as in patients with heart failure. However, the significance of admission glycemic variability (GV) in predicting outcomes among diabetes patients with heart failure (HF) following acute ST-segment elevation myocardial infarction (ASTEMI) remains unclear. This study aims to explore the prognostic value of admission GV and admission glycosylated hemoglobin (HbA1c) levels in individuals diagnosed with type 2 diabetes and HF following ASTEMI.

Methods

We measured GV and HbA1c upon admission in 484 consecutive patients diagnosed with type 2 diabetes and HF following ASTEMI. GV, indicated as the mean amplitude of glycemic excursions (MAGE), was assessed utilizing a continuous glucose monitoring system (CGMS). admission MAGE values were categorized as < 3.9 or ≥ 3.9 mmol/L, while HbA1c levels were classified as < 6.5 or ≥ 6.5%. Participants were followed up prospectively for 12 months. The relationship of admission MAGE and HbA1c to the major adverse cardiac event (MACE) of patients with type 2 diabetes and HF following ASTEMI was analyzed.

Results

Among the 484 enrolled patients, the occurrence of MACE differed significantly based on MAGE categories (< 3.9 vs. ≥ 3.9 mmol/L), with rates of 13.6% and 25.3%, respectively (P = 0.001). While MACE rates varied by HbA1c categories (< 6.5 vs. ≥ 6.5%) at 15.7% and 21.8%, respectively (P = 0.086). Patients with higher MAGE levels exhibited a notably elevated risk of cardiac mortality and an increased incidence of HF rehospitalization. The Kaplan-Meier curves analysis demonstrated a significantly lower event-free survival rate in the high MAGE level group compared to the low MAGE level group (log-rank test, P < 0.001), while HbA1c did not exhibit a similar distinction. In multivariate analysis, high MAGE level was significantly associated with incidence of MACE (hazard ratio 3.645, 95% CI 1.287-10.325, P = 0.015), whereas HbA1c did not demonstrate a comparable association (hazard ratio 1.075, 95% CI 0.907-1.274, P = 0.403).

Conclusions

Elevated admission GV emerges as a more significant predictor of 1-year MACE in patients with type 2 diabetes and HF following ASTEMI, surpassing the predictive value of HbA1c.

The optimal blood glucose is significantly associated with lower mortality in critically ill patients with cardiogenic shock: an analysis revealed with time series blood glucose records

BACKGROUND

The optimal blood glucose (BG) level for patients with cardiogenic shock in the intensive care unit (ICU) remains unclear. Studies have found that both excessively high and low BG levels contribute to adverse cardiovascular events. Our study aims to investigate the optimal BG level for critically ill patients with cardiogenic shock and evaluate the effects of optimal BG on the prognosis of patients.

METHODS

A total of 2013 patients with cardiogenic shock obtained from the Medical Information Mart for Intensive Care (MIMIC) IV database were included in the final cohort for our retrospective observational study for data analysis. The exposure was time-weighted average BG (TWA-BG), which was calculated by the time-series BG records and corresponding time stamps of patients with cardiogenic shock during their stay in the ICU. The cut-off value of TWA-BG was identified by the restricted cubic spline curve and included patients were categorized into three groups: low TWA-BG group (TWA-BG ≤ 104 mg/dl), optimal TWA-BG group (104 < TWA-BG ≤ 138 mg/dl), and high TWA-BG group (TWA-BG > 138 mg/dl). The primary outcome was 28-day mortality, and the secondary outcomes were ICU and in-hospital mortality. We performed the log-rank test to detect whether there is a difference in mortality among different groups in the original cohort. Multiple distinct models were employed to validate the robustness of the results.

RESULTS

Our study revealed that the optimal BG level for critically ill patients with cardiogenic shock is 104-138 mg/dl. Compared to the optimal TWA-BG group, the low TWA-BG group (hazard ratio (HR): 1.67, 95% confidence interval (CI): 1.19-2.33, p = 0.002) and high TWA-BG group (HR: 1.72, 95% CI: 1.46-2.03, p < 0.001) exhibited higher 28-day mortality. Similarly, the low TWA-BG group and high TWA-BG group demonstrated higher risks in terms of ICU mortality (low TWA-BG group: HR: 2.30, 95% CI: 1.40-3.79, p < 0.001; high TWA-BG group: HR: 1.77, 95% CI: 1.45-2.17, p < 0.001) and in-hospital mortality (low TWA-BG group: HR: 1.73, 95% CI: 1.19-2.51, p = 0.001; high TWA-BG group: HR: 1.64, 95% CI: 1.38-1.95, p < 0.001). Sensitivity analysis conducted through propensity score matching and the subgroup analysis further substantiated the robustness of the results.

CONCLUSION

The optimal BG level for patients with cardiogenic shock is 104-138 mg/dl. BG levels below 104 mg/dl and above 138 mg/dl were associated with a less favorable prognosis.

The Importance of Clinical Pharmacists in Improving Blood Glucose and Lipid Levels in Patients with Diabetes and Myocardial Infarction

Purpose

The aim of this study was to evaluate whether intervention by clinical pharmacists can improve blood glucose and lipid levels in diabetic patients with complex medical conditions.

Methods

The retrospective database included 138 patients with diabetes who had presented with acute myocardial infarction (AMI) between January 2019 and October 2021. Blood glucose and lipid levels were measured within 12 weeks and 78 weeks of follow-up. Propensity score matching (PSM) was used to balance the confounding effects of patients' characteristics.

Results

A total of 138 eligible patients were assigned to either the intervention group (n = 47) or the usual care group (n = 91). After the intervention, there were significant improvements in blood glucose (glycosylated hemoglobin-HbA1C % from 9.0 to 8.3; fasting blood glucose-FBG mmol/L from 11.3 to 7.1; postprandial blood glucose-PBG mmol/L from 17.0 to 12.1; p < 0.001) and lipid levels (total cholesterol-TC from 4.9 to 3.5, low-density lipoprotein cholesterol-LDL-C from 3.0 to 1.8, p < 0.001, mmol/L) in both follow-up periods. The blood glucose effects were most pronounced in the PBG control rate (76.9% vs 54.0%) before PSM, while HbA1C% and PBG control rate after PSM were significantly higher in the intervention group (HbA1C% rate: 65.6% vs 38.5%; PBG rate: 79.2% vs 45.8%; p < 0.05, intervention vs non-intervention). Subgroup analysis further confirmed the improvement of blood glucose and lipid mainly in patients with higher baseline FBG (≧10mmol/L) and moderate follow-up duration (4-12 weeks).

Conclusion

The intervention of clinical pharmacists in multidisciplinary team can significantly improve blood glucose and lipid levels in complex type 2 diabetic patients, especially those with high baseline FBG and moderate follow-up durations.

Prognostic value of Intermountain Risk Score for short- and long-term mortality in patients with cardiogenic shock

BACKGROUND

There is a lack of current research examining the predictive value of the Intermountain Risk Score (IMRS) in patients with ST-segment elevation myocardial infarction (STEMI) caused by cardiogenic shock. Therefore, the purpose of this research was to investigate the ability of IMRS to predict short- and long-term mortality in patients with cardiogenic shock triggered by STEMI.

METHODS

The participants included 492 consecutive cardiogenic shock patients who underwent primary percutaneous coronary intervention following STEMI. The patients were separated into two groups depending on their survival status. The groups' baseline characteristics, laboratory data, echocardiographic variables, and risk assessments were then compared. Next, the IMRS score was tested for its ability to predict both short- and long-term mortality. In order to assess its accuracy, the prognostic value of the IMRS was also compared that of the SYNTAX score II (SSII).

RESULTS

After adjustment for the characteristics in the univariable study, multivariable Cox regression analysis indicated that the IMRS and SSII were both independently associated with short- and long-term mortality in STEMI patients with cardiogenic shock. However, the receiver operating characteristic curves indicated that the IMRS outperformed the SSII in terms of predicting both short- and long-term mortality.

CONCLUSION

This preliminary investigation showed that IMRS can predict both short- and long-term mortality in individuals with STEMI accompanied by cardiogenic shock.

Elevated random glucose levels at admission are associated with all-cause mortality and cardiogenic shock during hospitalisation in patients with acute myocardial infarction and without diabetes: A retrospective cohort study

BACKGROUND

Elevated glucose levels at admission are associated with a worse prognosis in patients with acute myocardial infarction (AMI); additionally, such elevation has a higher prognostic value for patients without diabetes.

METHODS

We retrospectively recruited 2412 AMI patients without diabetes from 1 August 2011 to 10 January 2022. The primary outcome was all-cause mortality during hospitalisation, and the secondary outcomes were cardiogenic shock, ventricular tachycardia, ventricular fibrillation, atrioventricular block and new stroke.

RESULTS

The mean age of participants was 65 years and 78.6% were male. Of the 2412 patients, all-cause mortality occurred in 236 patients (9.8%) during hospitalisation. In multivariate-adjusted models that corrected for variable weights, the risk of all-cause mortality increased with an increase in random glucose levels at admission; specifically, the risk of all-cause mortality increased per 1 mg/dL (odds ratio [OR] 1.006, 95% confidence interval [CI]: 1.004-1.008), per 9 mg/dL (OR: 1.06, 95% CI: 1.04-1.08), and per 18 mg/dL (OR: 1.12, 95% CI: 1.07-1.16) increases in admission glucose levels. When admission glucose levels were expressed as a categorical variable, increased levels of glucose (relative to the reference glucose value <140 mg/dL) led to an increased risk of all-cause mortality; specifically, the OR of all-cause mortality for 140-200 mg/dL glucose was 1.55 (95% CI: 1.09-2.17) and the OR for glucose >200 mg/dL was 3.08 (95% CI: 2.00-4.62) (P for trend <0.001). The risk of cardiogenic shock also increased with glucose levels with an OR of 1.68 (95% CI: 1.21-2.31) for 140-200 mg/dL glucose and an OR of 3.72 (95% CI: 2.50-5.46) for >200 mg/dL, compared with that of glucose <140 mg/dL. In multivariate-adjusted spline regression models, an increased risk of all-cause mortality was observed in patients with glucose ≥122 mg/dL (OR: 1.81, 95% CI: 1.38-2.38, p < 0.001) compared with the reference cohort. Furthermore, patients with glucose ≥111 mg/dL (OR: 2.36, 95% CI: 1.80-3.12) had a higher risk of cardiogenic shock than patients with glucose <111 mg/dL.

CONCLUSIONS

Patients with AMI and without diabetes who had elevated random glucose levels at admission had a higher risk of all-cause mortality and cardiogenic shock during hospitalisation. In particular, patients with glucose ≥122 mg/dL had an increased risk of all-cause mortality, and those with glucose ≥111 mg/dL had an increased risk of cardiogenic shock.

The Prognostic Value of the Triglyceride Glucose Index in Patients With Acute Myocardial Infarction

Objective: The triglyceride-glucose (TyG) index is a simple and reliable surrogate for insulin resistance. Recent studies have suggested that the TyG index is an independent predictor of cardiovascular disease. However, the prognostic value of the TyG index in patients with acute myocardial infarction (AMI) remains uncertain. Thus, this study aimed to evaluate the prognostic value of the TyG index in patients with AMI. Methods: AMI patients admitted to Zhongda Hospital from 2018 to 2020 were successively enrolled. After screening the inclusion criteria, 1144 patients were divided into three groups according to the tertiles of the TyG index distribution. Patients were followed up for 1 year as outpatients or contacted via telephone, and the occurrence and timing of all-cause deaths were recorded. Results: The TyG index was significantly correlated with heart failure (HF) in AMI patients. Patients with a high TyG index (group 3) (odds ratio: 9.070, 95% confidence interval [CI] 4.359-18.875, P＜.001) had a significantly higher incidence of HF compared with patients with median TyG index (group 2). Similarly, the incidence of all-cause death in group 3 was significantly higher than that in group 2 during the 1-year follow-up (hazard ratio: 2.996, 95% CI 1.058-8.487, P = .039). Conclusion: The TyG index is closely related to HF and may be a valuable indicator to predict the long-term prognosis of patients with AMI.

Correlation between Glycated Haemoglobin Level, Cardiac Function, and Prognosis in Patients with Diabetes Mellitus Combined with Myocardial Infarction

Objective

This study was to investigate the correlation between glycated haemoglobin (HbA1c) level, cardiac function, and prognosis in patients with diabetes mellitus combined with myocardial infarction.

Methods

Ninety-three patients with type 2 diabetes mellitus combined with acute myocardial infarction who were hospitalized and treated in our hospital from January 2021 to June 2021 were recruited for prospective analysis and equally divided into group A (HbA1c < 6.5%), group B (6.5% ≤ HbA1c ≤ 8.5%), and group C (HbA1c > 8.5%) using the random number table method, with 31 patients in each group. General data of patients were collected on admission and blood glucose and cardiac function indexes were measured; the incidence of myocardial infarction and death during the follow-up period was recorded at 6 months after discharge.

Results

There was a significant difference in blood glucose (FBG) and HbA1c levels at fasting between the three groups (P < 0.05). There were statistically significant differences in plasma levels of N-terminal probrain natriuretic peptide (NT-proBNP) and uric acid (UA), left ventricular end diastolic diameter (LVEDD), left ventricular end systolic volume (LVESV), left ventricular ejection fraction (LVEF), and cardiac function classification of the New York Heart Association (NYHA) among the three groups (P < 0.05). By statistical analysis, the HbA1c level was positively correlated with FBG, NT-proBNP, UA, LVEDD, LVESD, and NYHA grades but negatively correlated with LVEF (P < 0.05). The incidence rate of myocardial infarction and mortality was significantly higher in group C than in groups A and B (P < 0.05).

Conclusion

HbA1c level in patients with diabetes mellitus combined with myocardial infarction is closely related to the degree of cardiac function damage. Glycated haemoglobin levels are associated with the development of cardiac insufficiency in patients with acute myocardial infarction; glycated haemoglobin is also an independent predictor of major adverse cardiovascular events. Reasonable and effective blood glucose control is of great significance to the prognosis of patients.

Impact of diabetes on outcomes of cardiogenic shock: A systematic review and meta-analysis

To provide synthesized evidence on the association of diabetes with clinical outcomes of patients with acute myocardial infarction (AMI) and associated cardiogenic shock (CS). We analyzed observational studies on patients with AMI and CS, identified through a systematic search using PubMed and Scopus databases. The main outcome was mortality and other outcomes of interest were risk of major bleeding, re-infarction, cerebrovascular adverse events, and need for revascularization. We conducted the meta-analysis with data from 15 studies. Compared to patients without diabetes, those with diabetes had an increased risk of in-hospital mortality (OR, 1.34; 95% CI, 1.17-1.54) and cerebrovascular complications (OR, 1.28; 95% CI, 1.11-1.48). We found similar risk of major bleeding (OR, 0.68; 95% CI, 0.43-1.09), re-infarction (OR, 0.98; 95% CI, 0.48-1.98) and need for re-vascularization (OR, 0.96; 95% CI, 0.75-1.22) as well as hospital stay lengths (in days) (WMD 0.00; 95% CI, -0.27-0.28; n = 4; I² = 99.7%) in the two groups of patients. Patients with diabetes, acute MI and associated cardiogenic shock have increased risks of mortality and adverse cerebrovascular events than those without diabetes.

Basic mechanisms in cardiogenic shock: part 2 - biomarkers and treatment options

Cardiogenic shock mortality rates remain high despite significant advances in cardiovascular medicine and the widespread uptake of mechanical circulatory support systems. Except for early invasive angiography and percutaneous coronary intervention of the infarct-related artery, all other widely used therapeutic measures are based on low-quality evidence. The grim prognosis and lack of high-quality data warrant further action. Within Part 2 of this two-part educational review on basic mechanisms in cardiogenic shock, we aimed to highlight the current status of translating our understanding of the pathophysiology of cardiogenic shock into clinical practice. We summarize the current status of biomarker research in risk stratification and therapy guidance. In addition, we summarized the current status of translating the findings from bench-, bedside, and biomarker studies into treatment options. Several large randomized controlled trials (RCTs) are underway, providing a huge opportunity to study contemporary cardiogenic shock patients. Finally, we call for translational, homogenous, biomarker-based, international RCTs testing novel treatment approaches to improve the outcome of our patients.

Basic types of the first-day glycemia in acute myocardial infarction: Prognostic, diagnostic, threshold and target glycemia

We described the importance of stress hyperglycemia (SH) in critical illnesses and their evaluation in the emergency department (ED) and coronary care unit (CCU). Hyperglycemia is found in over half of the patients with suspected acute myocardial infarction (AMI). SH can be used for several purposes in AMI. Receiver operating characteristic curves are needed to find optimal cut-offs to divide blood glucose levels associated with good from bad prognosis in AMI. There is a need for a consensus for pragmatic classification of first day glycemia in order to be useful in a busy ED and CCU.

Intervention by clinical pharmacists can improve blood glucose fluctuation in patients with diabetes and acute myocardial infarction: A propensity score-matched analysis

Acute phase hyperglycemia and exaggerated glucose fluctuation may be associated with poor outcomes in diabetic patients after acute myocardial infarction (AMI). This study aimed to determine whether intervention by clinical pharmacists can mitigate blood glucose and glucose fluctuations in these fragile patients. This retrospective study enrolled patients with diabetes and AMI, from 1 January 2019 to 30 June 2020 in our institution. Blood glucose and glucose fluctuations were calculated before and after the pharmacist's intervention and between patients who underwent intervention and those who did not. Propensity score matching (PSM) was used to reduce the impact of patient characteristics on the results. A total of 170 patients were included in our primary analysis, including 29 patients who received the pharmacist intervention and 141 patients who did not. After the pharmacist's intervention, blood glucose (fasting blood glucose-FBG, from 11.9 to 9.8; postprandial blood glucose-PBG, from 15.3 to 13.2; mean blood glucose-BG, 14.5 to 12.3 mmol/L; p < .001), and glucose fluctuations (standard deviation of blood glucose-SDBG, from 3.8 to 3.0, mmol/L, p = .005) were significantly improved. Before PSM, no clear effects were found in intervention versus nonintervention patients, in terms of blood glucose and glucose fluctuation indicators, except for FBG (9.3 vs. 8.0. mmol/L, p = .005). Further analysis indicated a high incidence of FBG <7.8 mmol/L in nonintervention versus intervention patients (51.5% vs. 27.6%, p = .003). After PSM, a significant reduction in blood glucose fluctuation (SDBG, 3.0 vs. 4.1, p = .031; PBGE, 2.1 vs. 4.1, p = .017; LAGE, 4.7 vs. 7.2, mmol/L, p = .004), and PBG (11.1 vs. 13.0, mmol/L, p = .048) was observed in the intervention group than in the nonintervention group. The clinical pharmacist intervention contributed to improved outcomes, specifically, in reducing blood glucose fluctuations and potential hypoglycemia risk.