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

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.