Range of glucose as a glycemic variability and 3-month outcome in diabetic patients with acute ischemic stroke

Hyperglycemic control in acute ischemic stroke patients undergoing endovascular treatment: post hoc analysis of the Stroke Hyperglycemia Insulin Network Effort trial

BACKGROUND

Hyperglycemia has been associated with poor outcomes in acute ischemic stroke patients undergoing endovascular treatment. We analyzed the effect of intensive glucose control on death and disability rates in patients with acute ischemic stroke undergoing endovascular treatment.

METHODS

We analyzed the effect of intensive (serum glucose <110 mg/dL) glucose treatment (compared with standard treatment, serum glucose <180 mg/dL) in patients who received endovascular treatment in the Stroke Hyperglycemia Insulin Network Effort (SHINE) trial. We further analyzed the effect of area under the curve (AUC) of serum glucose, proportion of the time blood glucose was <140 mg/dL, and glucose variability defined as the glucose range during 72 hours. The primary outcomes were neurological deterioration within 72 hours and outcome at 90 days.

RESULTS

A total of 146 patients (mean age 68.1±13.9 years, 50.7% men) underwent endovascular treatment for acute ischemic stroke; 72 and 74 patients were randomized to intensive and standard treatments, respectively. The rates of death (20.3% and 22.2%), favorable 90-day primary outcome (17.6% and 19.4%), and serious adverse events (41.9% and 56.98%) were similar between the two groups. The AUC of serum glucose was not associated with death within 90 days (OR 1, 95% CI 1 to 1) or favorable outcome at 90 days (OR 1, 95% CI 1 to 1). Glucose variability was not associated with death or favorable outcome at 90 days.

CONCLUSION

We did not identify any beneficial effect of intensive glucose reduction on rates of death or favorable outcomes at 90 days among acute ischemic stroke patients undergoing endovascular treatment.

The Prognostic Significance of Early Glycemic Profile in Acute Ischemic Stroke Depends on Stroke Subtype

It is still unclear whether early glycemic profile after admission for acute ischemic stroke (IS) has the same prognostic significance in patients with lacunar and non-lacunar infarction. Data from 4011 IS patients admitted to a Stroke Unit (SU) were retrospectively analyzed. Lacunar IS was diagnosed by clinical criteria. A continuous indicator of early glycemic profile was calculated as the difference of fasting serum glucose (FSG) measured within 48 h after admission and random serum glucose (RSG) measured on admission. Logistic regression was used to estimate the association with a combined poor outcome defined as early neurological deterioration, severe stroke at SU discharge, or 1-month mortality. Among patients without hypoglycemia (RSG and FSG > 3.9 mmol/L), an increasing glycemic profile increased the likelihood of a poor outcome for non-lacunar (OR, 1.38, 95%CI, 1.24-1.52 in those without diabetes; 1.11, 95%CI, 1.05-1.18 in those with diabetes) but not for lacunar IS. Among patients without sustained or delayed hyperglycemia (FSG < 7.8 mmol/L), an increasing glycemic profile was unrelated to outcome for non-lacunar IS but decreased the likelihood of poor outcome for lacunar IS (OR, 0.63, 95%CI, 0.41-0.98). Early glycemic profile after acute IS has a different prognostic significance in non-lacunar and lacunar patients.

Large vessel occlusion stroke outcomes in diabetic vs. non-diabetic patients with acute stress hyperglycemia

Objective

This study assesses whether stress-induced hyperglycemia is a predictor of poor outcome at 3 months for patients with acute ischemic stroke (AIS) treated by endovascular treatment (EVT) and impacted by their previous blood glucose status.

Methods

This retrospective study collected data from 576 patients with AIS due to large vessel occlusion (LVO) treated by EVT from March 2019 to June 2022. The sample was composed of 230 and 346 patients with and without diabetes mellitus (DM), respectively, based on their premorbid diabetic status. Prognosis was assessed with modified Rankin Scale (mRS) at 3-month after AIS. Poor prognosis was defined as mRS>2. Stress-induced hyperglycemia was assessed by fasting glucose-to-glycated hemoglobin ratio (GAR). Each group was stratified into four groups by quartiles of GAR (Q1-Q4). Binary logistic regression analysis was used to identify relationship between different GAR quartiles and clinical outcome after EVT.

Results

In DM group, a poor prognosis was seen in 122 (53%) patients and GAR level was 1.27 ± 0.44. These variables were higher than non-DM group and the differences were statistically significant (p < 0.05, respectively). Patients with severe stress-induced hyperglycemia demonstrated greater incidence of 3-month poor prognosis (DM: Q1, 39.7%; Q2, 45.6%; Q3, 58.6%; Q4, 68.4%; p = 0.009. Non-DM: Q1, 31%; Q2, 32.6%; Q3, 42.5%; Q4, 64%; p < 0.001). However, the highest quartile of GAR was independently associated with poor prognosis at 3 months (OR 3.39, 95% CI 1.66-6.96, p = 0.001), compared to the lowest quartile in non-DM patients after logistic regression. This association was not observed from DM patients.

Conclusion

The outcome of patients with acute LVO stroke treated with EVT appears to be influenced by premorbid diabetes status. However, the poor prognosis at 3-month in patients with DM is not independently correlated with stress-induced hyperglycemia. This could be due to the long-term damage of persistent hyperglycemia and diabetic patients' adaptive response to stress following acute ischemic damage to the brain.

A review of stress-induced hyperglycaemia in the context of acute ischaemic stroke: Definition, underlying mechanisms, and the status of insulin therapy

The transient elevation of blood glucose produced following acute ischaemic stroke (AIS) has been described as stress-induced hyperglycaemia (SIH). SIH is common even in patients with AIS who have no previous diagnosis of diabetes mellitus. Elevated blood glucose levels during admission and hospitalization are strongly associated with enlarged infarct size and adverse prognosis in AIS patients. However, insulin-intensive glucose control therapy defined by admission blood glucose for SIH has not achieved the desired results, and new treatment ideas are urgently required. First, we explore the various definitions of SIH in the context of AIS and their predictive value in adverse outcomes. Then, we briefly discuss the mechanisms by which SIH arises, describing the dual effects of elevated glucose levels on the central nervous system. Finally, although preclinical studies support lowering blood glucose levels using insulin, the clinical outcomes of intensive glucose control are not promising. We discuss the reasons for this phenomenon.

Short-term Glycemic Variability and Its Association With Macrovascular and Microvascular Complications in Patients With Diabetes

The introduction of continuous glucose monitoring inaugurated a new era in clinical practice by shifting the characterization of glycemic control from HbA1c to novel metrics. The one that gained widespread attention over the past decades was glycemic variability (GV), which typically refers to peaks and nadirs of blood glucose measured over a given time interval. GV can be dichotomized into two main categories: short-term and long-term. Short-term GV reflects within-day and between-day glycemic oscillations, and its contribution to diabetic complications remains an enigma. In this review, we summarize the available data about short-term GV and its possible association with both microvascular and macrovascular complications, evaluating different pathogenic mechanisms and demonstrating nonpharmaceutical, as well as pharmaceutical, therapeutic interventions.

Acute Glycemic Variability and Functional Outcome in Patients with Acute Ischemic Stroke: A Meta-Analysis

Dysglycemia are involved in the development of functional impairment after acute ischemic stroke (AIS). The aim of the study was to evaluate the association between acute glycemic variability and functional outcome in patients with AIS. Cohort studies were obtained by search Medline, Web of Science, Embase, Wanfang, and China National Knowledge Infrastructure databases from inception to November, 2021. A random-effect model which incorporates the intra-study heterogeneity was chosen to pool the results. Ten cohort studies including 3038 patients were included, and 1319 (43.4%) had poor functional outcome (modified Rankin Scale >2) up to three months after disease onset. Pooled results showed that higher acute GV was associated with an increased risk of poor functional outcome, as evidenced by GV evaluated by the standard deviation of blood glucose (SDBG, OR: 1.91, 95% CI: 1.38 to 2.65, I2=60%, p<0.001), the coefficient of variation of blood glucose (OR: 2.03, 95% CI: 1.15 to 3.58, I2=17%, p=0.02), the range of glucose (OR: 1.43, 95% CI: 1.11 to 1.83, I2=22%, p=0.005), and the mean amplitude of glycemic excursion (OR: 1.59, 95% CI: 1.10 to 2.31, I2=0%, p=0.01). Subgroup analyses did not support that difference in study design, treatments for AIS, mean age of the patients, duration for GV measuring, or study quality would significantly affect the association between SDBG and functional outcome after AIS. In conclusion, higher acute glycemic variability may predict poor functional outcome within 3 months after AIS.

Intensive Versus Standard Treatment of Hyperglycemia in Acute Ischemic Stroke Patient: A Randomized Clinical Trial Subgroups Analysis

Benefit from blood glucose (BG) control during acute ischemic stroke may depend on glycemic parameters. We evaluated for associations between the SHINE (Stroke Hyperglycemia Insulin Network Effort) randomized treatment group and the SHINE predefined 90-day functional outcome, within-patient subgroups defined by various glycemic parameters.

Correlation Between Blood Glucose Variability and Early Therapeutic Effects After Intravenous Thrombolysis With Alteplase and Levels of Serum Inflammatory Factors in Patients With Acute Ischemic Stroke

Objective

To investigate the effects of blood glucose variability on early therapeutic effects after intravenous thrombolysis with alteplase and the levels of serum inflammatory factors in patients with acute ischemic stroke (AIS).

Methods

We enrolled AIS patients who received intravenous thrombolysis within 4.5 h of the onset of symptoms. Clinical data, including the National Institutes of Health Stroke Scale (NIHSS), glycosylated hemoglobin, mean blood glucose, standard deviation of blood glucose, mean amplitude of glycemic excursion, mean variation coefficient of blood glucose, interleukin-6 (IL-6), active matrix metalloproteinase-9 (MMP-9), tumor necrosis factor α (TNF-α), and hypersensitive C-reactive protein (hs-CRP) levels, were compared between a group who showed improvement (the improvement group) and a group who did not show improvement (the non-improvement group). Relevant factors for early neurological improvement after thrombolysis with alteplase were analyzed by using multivariate logistic regression models. A Pearson linear correlation analysis was also performed on blood glucose variation and inflammatory factor levels within the two groups.

Results

A total of 146 patients were included, 63 of which had early symptom improvement (43.15%). The diabetes ratio, atrial fibrillation ratio, baseline NHISS score, random blood glucose at admission, and glycosylated hemoglobin of patients in the improvement group were significantly lower than those in the non-improvement group (P < 0.05 in all cases). The mean blood glucose, standard deviation of blood glucose, mean amplitude of glycemic excursion, and mean blood glucose variation coefficients of patients in the improvement group were significantly lower than those in the non-improvement group (P < 0.05). Serum inflammatory factor levels, including IL-6, MMP-9, TNF-α and hs-CRP, were significantly lower in patients in the improvement group compared to patients in the non-improvement group (P < 0.05). Multivariate logistic regression analysis showed that baseline NIHSS scores (OR = 1.28, 95% CI = 1.05–1.62, P = 0.02), glycosylated hemoglobin scores (OR = 2.57, 95% CI = 1.78–3.98, P = 0.0005), diabetes (OR = 13.10, 95% CI = 1.63~131.45, P = 0.021), the mean amplitude of glycemic excursion (OR = 2.98, 95% CI = 1.92–5.00, P < 0.0001), and the mean variation coefficient of blood glucose (OR = 1.40, 95% CI = 1.26–1.60, P = 0.0078) were significantly correlated with early symptom improvement after thrombolysis. Pearson linear correlation analysis showed that the standard deviation of blood glucose, mean amplitude of glycemic excursion, and the mean variation coefficient of blood glucose were significantly positively correlated with IL-6, MMP-9, TNF-α and hs-CRP levels (P < 0.01).

Conclusions

Blood glucose variability is correlated with early neurological improvement after intravenous thrombolysis with alteplase in AIS patients. With the increase of blood glucose fluctuation range, the inflammatory response is enhanced, which affects the prognosis of patients.

Glycemic variability of acute stroke patients and clinical outcomes: a continuous glucose monitoring study

Introduction:

Glycemic variability (GV) has been associated with worse prognosis in critically ill patients. We sought to evaluate the potential association between GV indices and clinical outcomes in acute stroke patients.

Methods:

Consecutive diabetic and nondiabetic, acute ischemic or hemorrhagic stroke patients underwent regular, standard-of-care finger-prick measurements and continuous glucose monitoring (CGM) for up to 96 h. Thirteen GV indices were obtained from CGM data. Clinical outcomes during hospitalization and follow-up period (90 days) were recorded. Hypoglycemic episodes disclosed by CGM but missed by finger-prick measurements were also documented.

Results:

A total of 62 acute stroke patients [48 ischemic and 14 hemorrhagic, median NIHSS score: 9 (IQR: 3–16) points, mean age: 65 ± 10 years, women: 47%, nondiabetic: 79%] were enrolled. GV expressed by higher mean absolute glucose (MAG) values was associated with a lower likelihood of neurological improvement during hospitalization before and after adjusting for potential confounders (OR: 0.135, 95% CI: 0.024–0.751, p = 0.022). There was no association of GV indices with 3-month clinical outcomes. During CGM recording, 32 hypoglycemic episodes were detected in 17 nondiabetic patients. None of these episodes were identified by the periodic blood glucose measurements and therefore they were not treated.

Conclusions:

Greater GV of acute stroke patients may be related to lower odds of neurological improvement during hospitalization. No association was disclosed between GV indices and 3-month clinical outcomes.

Short-term glycemic variability and hemorrhagic transformation after successful endovascular thrombectomy

BACKGROUND

Glycemic variability (GV) is a risk factor for poor outcomes after ischemic stroke. However, its effect on hemorrhagic transformation after endovascular recanalization therapy (ERT) remains to be elucidated.

METHODS

Patients with acute ischemic stroke due to large vessel occlusion with successful recanalization after ERT (modified thrombolysis in cerebral infarction 2b or 3) were enrolled between January 2013 and November 2019. Blood glucose level data were obtained during the first 36 h after ERT, and ten GV parameters including time rate (TR) of glucose variation were assessed. The TR of glucose variation reflects the speed of glucose fluctuations over time (mg/dL/hour) during the monitoring period. Symptomatic intracerebral hemorrhage (sICH) and unfavorable outcomes at 3 months after ERT were analyzed. The sICH was defined as parenchymal hematoma type 2 with a neurological deterioration of 4 points or more on the National Institute of Health Stroke Scale. Moreover, a modified Rankin Scale of 3-6 at 3 months was considered an unfavorable outcome.

RESULTS

Among all patients (n = 176; mean age, 69.3 years; 47.7 % female), sICH developed after successful ERT in 16 (9.1%) patients. In addition, 54% (n = 95) patients had an unfavorable outcome at 3 months. Patients with sICH and unfavorable outcome had higher the TR of glucose variation. After adjusting for potential confounders, the TR of glucose (per 1 mg/dL/h increase) variation was independently associated with sICH (odds ratio, 1.17; 95% confidence interval [CI], 1.012-1.343) and 3-month unfavorable outcome (OR 1.14, 95% CI, 1.000-1.297).

CONCLUSIONS

Time-related GV during the first 36 h after successful ERT has a stronger correlation with sICH and poor functional outcomes compared to any GV parameters. This suggests that maintaining stable glucose may be an important factor in the prevention of sICH after undergoing successful ERT.

Glycemic variability: prognostic impact on acute ischemic stroke and the impact of corrective treatment for hyperglycemia. The GLIAS-III translational study

Introduction

Glycemic variability (GV) represents the amplitude of oscillations in glucose levels over time and is associated with higher mortality in critically ill patients. Our aim is to evaluate the impact of GV on acute ischemic stroke (IS) outcomes in humans and explore the impact of two different insulin administration routes on GV in an animal model.

Methods

This translational study consists of two studies conducted in parallel: The first study is an observational, multicenter, prospective clinical study in which 340 patients with acute IS will be subcutaneously implanted a sensor to continuously monitor blood glucose levels for 96 h. The second study is a basic experimental study using an animal model (rats) with permanent occlusion of the middle cerebral artery and induced hyperglycemia (through an intraperitoneal injection of nicotinamide and streptozotocin). The animal study will include the following 6 groups (10 animals per group): sham; hyperglycemia without IS; IS without hyperglycemia; IS and hyperglycemia without treatment; IS and hyperglycemia and intravenous insulin; and IS and hyperglycemia and subcutaneous insulin. The endpoint for the first study is mortality at 3 months, while the endpoints for the animal model study are GV, functional recovery and biomarkers.

Discussion

The GLIAS-III study will be the first translational approach analyzing the prognostic influence of GV, evaluated by the use of subcutaneous glucose monitors, in acute stroke.

Trial registrationhttps://www.clinicaltrials.gov (NCT04001049)

Increased Postoperative Glucose Variability Is Associated With Adverse Outcome Following Two-Stage Exchange Arthroplasty for Periprosthetic Joint Infection

BACKGROUND

Glucose variability in the postoperative period has been associated with increased rates of periprosthetic joint infection (PJI) following primary arthroplasty. It is unknown how postoperative glucose control affects outcome of surgical treatment of PJI patients. We hypothesized that postoperative glucose variability adversely affects the outcome of 2-stage exchange arthroplasty.

METHODS

We retrospectively reviewed records of 665 patients with PJI of the knee and hip who underwent 2-stage exchange arthroplasty from 2000 to 2017. Of them, 341 PJIs with a minimum follow-up of 1 year, and either a minimum of 2 glucose values per day or greater than 3 overall during the reimplantation were included. Glucose variability was assessed by calculating the coefficient of variation. Adverse outcomes included treatment failure according to the Delphi consensuses criteria, reinfection, reoperation, and mortality. A subgroup analysis was performed based on patients with or without diabetes.

RESULTS

Glucose variability following reimplantation was associated with higher treatment failure, reinfection, and reoperation. Adjusted analysis indicated that for every standard deviation (15%) increase in the coefficient of variation, the risks of treatment failure, reinfection, and reoperation increased by 27%, 31%, and 26%. Although stratifying patients with (n = 81) or without diabetes (n = 260), these associations remained robust in nondiabetic patients, but not in diabetic patients.

CONCLUSION

Higher glucose variability is associated with increased risks of treatment failure, reinfection, and reoperation after 2-stage exchange arthroplasty in PJI patients. Compared to diabetic patients, nondiabetic patients have a higher association between glucose variability and poor outcomes. Reducing adverse outcomes may be achieved with close monitoring and strict postoperative glucose control.

Increased Glucose Variability During Long-Term Therapeutic Hypothermia as a Predictor of Poor Neurological Outcomes and Mortality: A Retrospective Study

Therapeutic hypothermia (TH) is considered as a treatment option in patients with stroke and brain injury for controlling intracranial pressure. A relatively longer duration of TH is required in such patients than in cardiac arrest patients. We aimed to investigate blood glucose parameters during TH that predict unfavorable neurological outcomes and mortality in patients admitted to the neurological or neurosurgical intensive care unit (ICU). This retrospective study evaluated electronic medical records of patients admitted to the ICU from January 1, 2012, to May 20, 2017. A total of 103 patients were included in the analyses. Multivariable analyses revealed that age and glycemic variability (GV) index were significantly associated with poor neurological outcomes (odds ratio [OR] 1.09, 95% confidence interval [CI] 1.03-1.15, p = 0.002, and OR 1.04, 95% CI 1.02-1.06, p < 0.001, respectively); furthermore, cumulative input-output balance, sequential organ failure assessment score, and glucose variability index were associated with 90-day mortality (hazard ratio [HR] 1.13, 95% CI 1.05-1.21, p < 0.001; HR 1.20, 95% CI 1.04-1.38, p = 0.010; and HR 1.01, 95% CI 1.01-1.02, p < 0.001, respectively). Receiver operating characteristic curve analyses of the GV index for prediction of 90-day mortality and poor neurological outcomes revealed that the areas under the curves were 0.747 (95% CI 0.65-0.85) and 0.826 (95% CI 0.75-0.91), respectively. In conclusion, variability in glucose levels may be valuable for predicting 90-day mortality and poor neurological outcomes in patients undergoing long-term TH.

Glycemic Variability and Brain Glucose Levels in Type 1 Diabetes

The impact of glycemic variability on brain glucose transport kinetics among individuals with type 1 diabetes mellitus (T1DM) remains unclear. Fourteen individuals with T1DM (age 35 ± 4 years; BMI 26.0 ± 1.4 kg/m²; HbA_1c 7.6 ± 0.3) and nine healthy control participants (age 32 ± 4; BMI 23.1 ± 0.8; HbA_1c 5.0 ± 0.1) wore a continuous glucose monitor (Dexcom) to measure hypoglycemia, hyperglycemia, and glycemic variability for 5 days followed by ¹H MRS scanning in the occipital lobe to measure the change in intracerebral glucose levels during a 2-h glucose clamp (target glucose concentration 220 mg/dL). Hyperglycemic clamps were also performed in a rat model of T1DM to assess regional differences in brain glucose transport and metabolism. Despite a similar change in plasma glucose levels during the hyperglycemic clamp, individuals with T1DM had significantly smaller increments in intracerebral glucose levels (P = 0.0002). Moreover, among individuals with T1DM, the change in brain glucose correlated positively with the lability index (r = 0.67, P = 0.006). Consistent with findings in humans, streptozotocin-treated rats had lower brain glucose levels in the cortex, hippocampus, and striatum compared with control rats. These findings that glycemic variability is associated with brain glucose levels highlight the need for future studies to investigate the impact of glycemic variability on brain glucose kinetics.

The Role of Circular RNAs in Cerebral Ischemic Diseases: Ischemic Stroke and Cerebral Ischemia/Reperfusion Injury

Cerebral ischemic diseases including ischemic stroke and cerebral ischemia reperfusion injury can result in serious dysfunction of the brain, which leads to extremely high mortality and disability. There are no effective therapeutics for cerebral ischemic diseases to date. Circular RNAs are a kind of newly investigated noncoding RNAs. It is reported that circular RNAs are enriched in multiple organs, especially abundant in the brain, which indicates that circular RNAs may be involved in cerebral physiological and pathological processes. In this chapter, we will firstly review the pathophysiology, underlying mechanisms, and current treatments of cerebral ischemic diseases including ischemic stroke and cerebral ischemia/reperfusion injury. Secondly, the characteristics and function of circular RNAs will be outlined, and then we are going to introduce the roles circular RNAs play in human diseases. Finally, we will summarize the function of circular RNAs in cerebral ischemic diseases.

Potential application of an injectable hydrogel scaffold loaded with mesenchymal stem cells for treating traumatic brain injury

In this contribution, we developed an injectable hydrogel composed of sodium alginate and hyaluronic acid that acts as a tissue scaffold to create a more optimal microenvironment for the stem cells for potential application of traumatic brain injury implantation.