The stress hyperglycemia ratio, an index of relative hyperglycemia, as a predictor of clinical outcomes after percutaneous coronary intervention

Stress Hyperglycemia and Mortality in Subjects With Diabetes and Sepsis

Objectives:

Poor glycemic control is associated with mortality in critical patients with diabetes. The aim of the study was to assess the predicting value of stress hyperglycemia in patients with diabetes following hospital admission for sepsis.

Design:

Retrospective observational study.

Setting:

Adult, emergency department, and critical care in a district hospital.

Patients:

In a 10-year retrospective analysis of sepsis-related hospitalizations in the emergency department, we carried out a secondary analysis of 915 patients with diabetes (males, 54.0%) in whom both fasting glucose at entry and glycosylated hemoglobin were available.

Interventions:

None.

Measurements and Main Results:

Patients’ mean age was 79.0 (sd 11.0), glucose at admission was 174.0 mg/dL (74.3 mg/dL), and glycosylated hemoglobin was 7.7% (1.7%). Stress hyperglycemia was defined by the stress hyperglycemia ratio, that is, fasting glucose concentration at admission divided by the estimated average glucose derived from glycosylated hemoglobin. A total of 305 patients died (33.3%) in hospital. Factors associated with in-hospital case fatality rate were tested by multivariable logistic model. Ten variables predicting outcomes in the general population were confirmed in the presence of diabetes (male sex, older age, number of organ dysfunction diagnoses, in particular cardiovascular dysfunction, infection/parasitic, circulatory, respiratory, digestive diseases diagnosis, and Charlson Comorbidity Index). In addition, also glycemic control (glycosylated hemoglobin: odds ratio, 1.17; 95% CI, 1.15–1.40) and stress hyperglycemia (stress hyperglycemia ratio: 5.25; 3.62–7.63) were significant case fatality rate predictors. High stress hyperglycemia ratio (≥ 1.14) significantly increased the discriminant capacity (area under the receiver operating characteristic curve, 0.864; se, 0.013; p < 0.001).

Conclusions:

Stress hyperglycemia, even in the presence of diabetes, is predictive of mortality following admission for sepsis. Stress hyperglycemia ratio may be used to refine prediction of an unfavorable outcome.

Augmented glycaemic gap is a marker for an increased risk of post-infarct left ventricular systolic dysfunction

BACKGROUND

Left ventricular systolic dysfunction (LVSD) occurs frequently after acute ST-segment elevation myocardial infarction (STEMI). The predisposing factors and underlying mechanism of post-infarct LVSD are not fully understood. The present study mainly investigated the correlation between glycaemic gap, a novel index of stress-induced hyperglycaemia (SIH), and post-infarct LVSD.

METHODS

A total of 274 first STEMI patients were enrolled in this cross-sectional study. Transthoracic echocardiography was performed within 48 h after admission and at 6 months after discharge to obtain left ventricular ejection fraction (LVEF). The change in LVEF was calculated as LVEF at 6 months after discharge minus baseline LVEF. Additionally, post-infarct LVSD was defined as LVEF ≤ 50%. Most importantly, glycaemic gap was calculated as admission blood glucose (ABG) minus the estimated average glucose over the previous 3 months.

RESULTS

In patients without diabetes mellitus (DM), multivariate linear regression analysis revealed that both glycaemic gap (Beta = - 1.214, 95% CI - 1.886 to - 0.541, p < 0.001) and ABG (Beta = - 1.124, 95% CI - 1.795 to - 0.453, p = 0.001) were associated with change in LVEF. In DM patients, only glycaemic gap was still associated with change in LVEF, although this association was not observed in univariate linear regression analysis. Regarding the association between SIH and post-infarct LVSD, multivariate logistic regression analysis revealed that both glycaemic gap (OR = 1.490, 95% CI 1.043 to 2.129, p = 0.028) and ABG (OR = 1.600, 95% CI 1.148 to 2.229, p = 0.005) were associated with an increased risk of having post-infarct LVSD in non-DM patients. However, after multivariate adjustment in DM patients, only glycaemic gap (OR = 1.399, 95% CI 1.021 to 1.919, p = 0.037) remained associated with an increased risk of having post-infarct LVSD. Furthermore, the predictive value of glycaemic gap for post-infarct LVSD was not inferior to ABG in non-DM patients (p = 0.499), and only glycaemic gap, instead of ABG, could significantly predict post-infarct LVSD in DM patients (AUC = 0.688, 95% CI 0.591 to 0.774, p = 0.002).

CONCLUSIONS

Glycaemic gap was strongly associated with a change in LVEF and an increased risk of having post-infarct LVSD in patients following STEMI. In STEMI patients with DM, glycaemic gap could provide more valuable information than ABG in identifying patients at high risk of developing post-infarct LVSD.

Nurse-managed basal-bolus versus sliding-scale insulin regimen in subjects with hyperglycemia at admission for orthopedic surgery: a propensity score approach

AIMS

A sliding-scale (SS) regimen is discouraged to correct hyperglycemia in hospital patients, but there is resistance to adoption of basal-bolus (BB) treatment in surgical units. We tested the feasibility and the effects of a nurse-based BB regimen in orthopedic surgery.

METHODS

Following an intense training to implement a protocol amenable by nurses, a group of patients admitted with hyperglycemia in an orthopedic institute were prospectively followed according to a basal-bolus insulin regimen (BB, n = 80). They were compared with a hyperglycemic group eventually treated by sliding-scale insulin on demand (SS, n = 122). Diabetes was present in 196 cases. Metabolic control was assessed during the first 3 days of surgery; outcome data were tested by logistic regression, after adjusting for propensity score.

RESULT

Average blood glucose and glucose variability were lower in BB versus SS (P < 0.001), in the presence of similar 3-day insulin doses. Complications were recorded in 68 cases (16.2% vs. 45.1% in BB and SS, respectively). BB regimen was associated with propensity-adjusted reduction in all adverse events [odds ratio (OR) 0.36; 95% confidence interval (CI) 0.17-0.76] and of systemic infections (OR 0.18; 95% CI 0.07-0.50) and with shorter hospital stay (8.8 ± SD 5.2 days vs. 12.5 ± 7.4; P < 0.01). The superiority of BB regimen was confirmed in the pair-matched analysis.

CONCLUSIONS

The study proves the feasibility and the superiority of nurse-based BB versus SS treatment in metabolic control and on the risk of adverse events in orthopedic surgery patients with hyperglycemia.

Is it time to abandon glucose control in critically ill adult patients?

PURPOSE OF REVIEW

To summarize the advances in literature that support the best current practices regarding glucose control in the critically ill.

RECENT FINDINGS

There are differences between patients with and without diabetes regarding the relationship of glucose metrics during acute illness to mortality. Among patients with diabetes, an assessment of preadmission glycemia, using measurement of Hemoglobin A1c (HgbA1c) informs the choice of glucose targets. For patients without diabetes and for patients with low HgbA1c levels, increasing mean glycemia during critical illness is independently associated with increasing risk of mortality. For patients with poor preadmission glucose control the appropriate blood glucose target has not yet been established. New metrics, including stress hyperglycemia ratio and glycemic gap, have been developed to describe the relationship between acute and chronic glycemia.

SUMMARY

A 'personalized' approach to glycemic control in the critically ill, with recognition of preadmission glycemia, is supported by an emerging literature and is suitable for testing in future interventional trials.

Impact of Hyperglycemia on Long-Term Outcome in Patients With ST-Segment Elevation Myocardial Infarction

In patients with ST-segment elevation myocardial infarction (STEMI), the association between stress-induced hyperglycemia (SIH) and long-term outcomes, as well as the effects of baseline diabetic status on this association remain elusive. To clarify the association between SIH and long-term outcomes, and the effects of baseline diabetic status on this association, we studied 6,287 STEMI patients who were discharged alive. SIH was estimated using the stress hyperglycemia ratio (SHR), which is defined as [(admission glucose (mg/dl))/(28.7 × HbA1c (%) - 46.7)]. End points were all-cause death and admission for heart failure (HF). We compared prognosis between patients in the highest SHR quartile and those in other quartiles of the nondiabetic and diabetic population. Over a follow-up of 5 years (median 1,522 days), 464 (7.4%) and 401 (6.4%) cases of all-cause death and HF admission were observed. In the nondiabetic population, the highest SHR quartile (Q4) group was significantly associated with worse long-term outcomes (adjusted hazard ratio [HR] (95% confidence interval [CI]), all-cause death; 1.45 (1.06 to 1.98), p = 0.021, HF admission; 1.48 (1.04 to 2.10), p = 0.031). However, in the diabetic population, SHR Q4 group was not significantly associated with worse long-term outcomes (adjusted HR (95% CI), all-cause death; 1.00 (0.68 - 1.48), p = 0.996, HF admission; 1.31 (0.90 to 1.89), p = 0.154). In conclusion, in STEMI patients discharged alive, high SHR was significantly associated with worse long-term prognosis in the nondiabetic population. In contrast, high SHR was not significantly associated with worse long-term prognosis in the diabetic population.

Association between Admission Hyperglycemia and Culprit Lesion Characteristics in Nondiabetic Patients with Acute Myocardial Infarction: An Intravascular Optical Coherence Tomography Study

BACKGROUND

Hyperglycemia is frequently observed in acute myocardial infarction (AMI). Diabetes mellitus (DM) patients and non-DM patients have different culprit lesion phenotypes and few data are available on non-DM patients with admission hyperglycemia. Therefore, we aimed to investigate the association between admission hyperglycemia and culprit lesion characteristics using optical coherence tomography (OCT) in AMI patients.

METHODS AND RESULTS

We consecutively enrolled 434 patients with AMI, and 277 patients were included in analysis: 65.7% (n = 182) non-DM patients and 34.3% (n = 95) DM patients. We measured acute blood glucose (ABG) and hemoglobin A_1c to calculate the acute-to-chronic glycemic ratio (A/C). Then, we grouped non-DM patients into tertiles of A/C. OCT-based culprit lesion characteristics were compared across A/C tertiles in non-DM patients and between DM and non-DM patients. Non-DM patients had fewer lipid-rich plaques (52.7% versus 68.4%, p = 0.012) and thin-cap fibroatheroma (TCFA) (19.8% versus 34.7%, p = 0.006) than DM patients but similar prevalence of plaque rupture (47.3% versus 56.8%, p = 0.130). Non-DM patients with the highest A/C tertile had the highest prevalence of plaque rupture (p _for trend = 0.002), lipid-rich plaque (p _for trend = 0.001), and TCFA (p _for trend = 0.003). A/C > 1.22 but not ABG > 140 mg/dl predicted a high prevalence of plaque rupture, lipid-rich plaque, and TCFA in non-DM patients.

CONCLUSIONS

In AMI patients without DM, admission hyperglycemia is associated with vulnerable culprit lesion characteristics, and A/C is a better predictor for vulnerable culprit plaque characteristics than ABG. These results call for a tailored evaluation and management of glucose metabolism in nondiabetic AMI patients. This trial is registered with NCT03593928.

Predictive Value of the Acute-to-Chronic Glycemic Ratio for In-Hospital Outcomes in Patients With ST-Segment Elevation Myocardial Infarction Undergoing Percutaneous Coronary Intervention

This study investigated whether a novel index of stress hyperglycemia might have a better prognostic value compared to admission glycemia alone in patients with ST-segment elevation myocardial infarction (STEMI) undergoing percutaneous coronary intervention (PCI). The acute-to-chronic glycemic ratio was expressed as admission blood glucose (ABG) devided by the estimated average glucose (eAG), and eAG was derived from the glycated hemoglobin (HbA1c). A total of 1300 consecutive patients with STEMI treated with PCI were included. Baseline data and outcomes were analyzed. The study end point was a composite of in-hospital all-cause death, cardiogenic shock, and acute pulmonary edema. Accuracy was defined with area under the curve (AUC) by a receiver–operating characteristic (ROC) curve analysis. After multivariate adjustment, both ABG/eAG and ABG were closely associated with an increased risk of the composite end point in nondiabetic patients. However, only ABG/eAG (odds ratio = 2.45, 95% confidence interval: 1.24-4.82, P = .010), instead of ABG, was associated with the outcomes in diabetic patients. Compared to ABG, ABG/eAG had an equivalent predictive value in nondiabetic patients but a superior discriminatory ability in diabetic patients (AUC improved from 0.52-0.63, P < .001). Taken together, ABG/eAG provides more significant in-hospital prognostic information than ABG in diabetic patients with STEMI after PCI.

Effect of stress hyperglycaemia on monocyte chemoattractant protein-1 levels and the short-term prognosis of patients with acute ST-segment elevation myocardial infarction undergoing primary percutaneous coronary intervention

The present study prospectively investigated the effect of blood glucose level at admission on monocyte chemoattractant protein-1 levels at different time points before and after primary percutaneous coronary intervention, and the postoperative 1-year prognosis of patients with acute ST-segment elevation myocardial infarction. The 146 patients with acute ST-segment elevation myocardial infarction undergoing primary percutaneous coronary intervention were divided into three groups: Group 1, non-diabetic, non-hyperglycemic group; group 2, stress hyperglycemia group; and group 3, diabetic group. Serum monocyte chemoattractant protein-1 levels before and after percutaneous coronary intervention (PCI), and the incidence of major adverse cardiovascular events 1-year post PCI were observed. The increase in monocyte chemoattractant protein-1 levels 24 h after percutaneous coronary intervention, compared with those before percutaneous coronary intervention, was significantly correlated with the blood glucose level at admission. Furthermore, the 1-year postoperative major adverse cardiovascular events rates were significantly higher in groups 2 and 3 compared with group 1. Logistic regression analysis demonstrated that a high blood glucose level at admission, diabetes, and high preoperative monocyte chemoattractant protein-1 levels were risk factors for major adverse cardiovascular events 1-year post-percutaneous coronary intervention. Stress hyperglycemia and diabetes may contribute to high monocyte chemoattractant protein-1 levels and prolonged inflammation. These symptoms are associated with poor prognosis of acute ST-segment elevation myocardial infarction in patients undergoing primary percutaneous coronary intervention.

High Stress Hyperglycemia Ratio Predicts Poor Outcome after Mechanical Thrombectomy for Ischemic Stroke

OBJECTIVE

The present study aimed to evaluate the association between stress hyperglycemia ratio (SHR) and outcome at 3 months after mechanical thrombectomy (MT) for acute occlusion in the anterior circulation.

METHODS

Data from 160 consecutive patients with large vessel occlusion in the anterior circulation who underwent MT from May 2013 to March 2018 were retrospectively reviewed. SHR was calculated as the fasting glucose concentration divided by the estimated average glucose concentration (derived from the glycosylated hemoglobin level). Patients were dichotomized into 2 groups in accordance with the median SHR. Univariate and multivariate analyses were used to identify predictors of functional outcome. Good and poor outcomes were defined as modified Rankin Scale scores of 0-2 and 3-6, respectively.

RESULTS

patients with unfavorable outcome had significantly higher levels of SHR than those with favorable outcome (median in SHR = 1.02 versus .84, P = .000). The median SHR was .96. Univariate analysis showed that significantly more patients with a poor outcome had SHR ≥ .96 compared with those with a good outcome (65.2% versus 31.0%, P = .000). After adjusting for potential covariates, Increased SHR (odds ratio [OR] 6.97, 95% confidence intervals [CI] 1.22-39.65, P = .029, for continuous SHR levels) and SHR ≥ .96 (OR 3.12, 95% CI 1.39-6.96, P = .006) remained independent predictors of poor outcome.

CONCLUSIONS

Increased SHR is strongly correlated with poor outcome at 3 months after MT for proximal artery occlusion in the anterior circulation.

Prognostic Value of Admission Blood Glucose Level in Critically Ill Patients Admitted to Cardiac Intensive Care Unit according to the Presence or Absence of Diabetes Mellitus

BACKGROUND

Admission blood glucose (BG) level is a predictor of mortality in critically ill patients with various conditions. However, limited data are available regarding this relationship in critically ill patients with cardiovascular diseases according to diabetic status.

METHODS

A total of 1,780 patients (595 with diabetes) who were admitted to cardiac intensive care unit (CICU) were enrolled from a single center registry. Admission BG level was defined as maximal serum glucose level within 24 hours of admission. Patients were divided by admission BG level: group 1 (< 7.8 mmol/L), group 2 (7.8-10.9 mmol/L), group 3 (11.0-16.5 mmol/L), and group 4 (≥ 16.6 mmol/L).

RESULTS

A total of 105 patients died in CICU (62 non-diabetic patients [5.2%] and 43 diabetic patients [7.9%]; P = 0.105). The CICU mortality rate increased with admission BG level (1.7%, 4.8%, 10.3%, and 18.8% from group 1 to group 4, respectively; P < 0.001). On multivariable analysis, hypertension, mechanical ventilator, continuous renal replacement therapy, acute physiology and chronic health evaluation II (APACHE II) score, and admission BG level significantly influenced CICU mortality in non-diabetic patients (group 1 vs. group 3: hazard ratio [HR], 3.31; 95% confidence interval [CI], 1.47-7.44; P = 0.004; group 1 vs. group 4: HR, 6.56; 95% CI, 2.76-15.58; P < 0.001). However, in diabetic patients, continuous renal replacement therapy and APACHE II score influenced CICU mortality but not admission BG level.

CONCLUSION

Admission BG level was associated with increased CICU mortality in critically ill, non-diabetic patients admitted to CICU but not in diabetic patients.

Effect of visit-to-visit LDL-, HDL-, and non-HDL-cholesterol variability on mortality and cardiovascular outcomes after percutaneous coronary intervention

BACKGROUND AND AIMS

Visit-to-visit variability in biological measures has been suggested as an independent predictor of cardiovascular disease (CVD). Although low-density lipoprotein cholesterol (LDL-C) and high-density lipoprotein cholesterol (HDL-C) are important risk factors of CVD, there are few studies investigating the effect of variability in LDL-C and HDL-C on cardiovascular outcomes. We investigated the association between visit-to-visit variability in LDL-C, HDL-C, and non-HDL-C and major adverse cardiovascular and cerebrovascular events (MACCE) in patients who underwent percutaneous coronary intervention (PCI).

METHODS

Data from 1792 subjects who underwent PCI from January 2004 to December 2009 were analyzed. Visit-to-visit variability was calculated using various indices: standard deviation (SD), coefficient of variation, and corrected variability independent of mean (cVIM). MACCE comprised all-cause death, non-fatal myocardial infarction, and stroke.

RESULTS

During a median follow-up period of 65 months, 114 subjects (6.4%) experienced MACCE: 68 (3.8%) all-cause death; 43 (2.4%) stroke, and 15 (0.8%) non-fatal myocardial infarction. Visit-to-visit variability in LDL-C, HDL-C, and non-HDL-C was significantly higher in the MACCE group compared to the non-MACCE group. In multiple regression analysis, all LDL-C, HDL-C, and non-HDL-C variability parameters were independent predictors for MACCE after adjusting for potential confounding factors. Each 1-SD increase of cVIM in LDL-C, HDL-C, and non-HDL-C increased the risk of MACCE by 34% (HR 1.34 [95% CI, 1.18-1.52]), 50% (HR 1.50 [95% CI 1.32-1.71]), and 37% (HR 1.37 [95% CI, 1.20-1.57]), respectively. These relationships were observed in various subgroups according to age, sex, and diabetes status.

CONCLUSIONS

Visit-to-visit variability in LDL-C, HDL-C, and non-HDL-C is associated with MACCE in subjects with previous PCI.

Prognostic Value of the Acute-to-Chronic Glycemic Ratio at Admission in Acute Myocardial Infarction: A Prospective Study

OBJECTIVE

Acute hyperglycemia is a powerful predictor of poor prognosis in acute myocardial infarction (AMI), particularly in patients without diabetes. This emphasizes the importance of an acute glycemic rise rather than glycemia level at admission alone. We investigated in AMI whether the combined evaluation of acute and chronic glycemic levels, as compared with admission glycemia alone, may have a better prognostic value.

RESEARCH DESIGN AND METHODS

We prospectively measured admission glycemia and estimated average chronic glucose levels (mg/dL) by the following formula: [(28.7 × glycosylated hemoglobin %) - 46.7], and calculated the acute-to-chronic (A/C) glycemic ratio in 1,553 consecutive AMI patients (mean ± SD age 67 ± 13 years). The primary end point was the combination of in-hospital mortality, acute pulmonary edema, and cardiogenic shock.

RESULTS

The primary end point rate increased in parallel with A/C glycemic ratio tertiles (5%, 8%, and 20%, respectively; P for trend <0.0001). A parallel increase was observed in troponin I peak value (15 ± 34 ng/mL, 34 ± 66 ng/mL, and 68 ± 131 ng/mL; P < 0.0001). At multivariable analysis, A/C glycemic ratio remained an independent predictor of the primary end point and of troponin I peak value, even after adjustment for major confounders. At reclassification analyses, A/C glycemic ratio showed the best prognostic power in predicting the primary end point as compared with glycemia at admission in the entire population (net reclassification improvement 12% [95% CI 4-20]; P = 0.003) and, particularly, in patients with diabetes (27% [95% CI 14-40]; P < 0.0001).

CONCLUSIONS

In AMI patients with diabetes, A/C glycemic ratio is a better predictor of in-hospital morbidity and mortality than glycemia at admission.

The Long and Winding Road Toward Personalized Glycemic Control in the Critically Ill

Hyperglycemia is very common in critically ill patients and interventional studies of intensive insulin therapy with the goal of returning ICU glycemia to normal levels have demonstrated mixed results. A large body of literature has demonstrated that diabetes, per se, is not independently associated with increased risk of mortality in this population and that the relationship of glucose metrics to mortality is different for patients with and without diabetes. Moreover, these relationships are confounded by preadmission glycemia; in this regard, patients with diabetes and good preadmission glucose control, as reflected by HbA1c levels obtained at the time of ICU admission, are similar to patients without diabetes. These data point the way toward an era when blood glucose targets in the ICU will be "personalized," based on assessment of preadmission glycemia.

Relative hyperglycemia is associated with complications following an acute myocardial infarction: a post-hoc analysis of HI-5 data

Background

Hyperglycemia is associated with increased morbidity and mortality in patients with an acute myocardial infarction (AMI). We evaluated whether complications after AMI are associated with absolute or relative glycemia.

Methods

A total of 192 patients with AMI were randomized to intensive or conventional insulin therapy. Absolute glycemia was defined as mean blood glucose level (BGL) during the first 24 h following randomization. Relative glycemia was defined by the stress hyperglycaemia ratio (SHR), calculated as mean BGL divided by average glucose concentration over the prior 3 months estimated from glycosylated haemoglobin. The primary endpoint was a “complicated AMI”, defined as an AMI complicated by death, congestive cardiac failure, arrhythmia, cardiac arrest, reinfarction, cardiogenic shock, inotrope use or emergency revascularization.

Results

There was not a significant association between mean BGL and complicated AMI (odds ratio (OR) 1.05 per mmol/L glucose increment, 95% confidence intervals (CI) 0.93–1.19). In contrast, SHR was positively associated with a complicated myocardial infarction (OR 1.22 per 0.1 SHR increment, 95% CI 1.06–1.42), and individual complications of death (OR 1.55, 95% CI 1.14–2.11), congestive cardiac failure (OR 1.27, 95% CI 1.05–1.54), arrhythmia (OR 1.31, 95% CI 1.12–1.54) and cardiogenic shock (OR 1.42, 95% CI 1.03–1.97). The relationship between SHR and a complicated AMI was independent of diabetic status, intensive insulin therapy, sex and hypoglycemia.

Conclusions

Relative, but not absolute, glycemia during insulin treatment is independently associated with complications after an AMI. Future studies should investigate whether basing therapeutic glycaemic targets on relative glycemia improves patient outcomes.