Impact of diabetes and prediabetes on the short-term prognosis in patients with acute ischemic stroke

Following intravenous thrombolysis, the outcome of diabetes mellitus associated with acute ischemic stroke was predicted via machine learning

This cohort study aimed to evaluate the prognostic outcomes of patients with acute ischemic stroke (AIS) and diabetes mellitus following intravenous thrombolysis, utilizing machine learning techniques. The analysis was conducted using data from Shenyang First People's Hospital, involving 3,478 AIS patients with diabetes who received thrombolytic therapy from January 2018 to December 2023, ultimately focusing on 1,314 patients after screening. The primary outcome measured was the 90-day Modified Rankin Scale (MRS). An 80/20 train-test split was implemented for model development and validation, employing various machine learning classifiers, including artificial neural networks (ANN), random forest (RF), XGBoost (XGB), and LASSO regression. Results indicated that the average accuracy of the XGB model was 0.7355 (±0.0307), outperforming the other models. Key predictors for prognosis post-thrombolysis included the National Institutes of Health Stroke Scale (NIHSS) and blood platelet count. The findings underscore the effectiveness of machine learning algorithms, particularly XGB, in predicting functional outcomes in diabetic AIS patients, providing clinicians with a valuable tool for treatment planning and improving patient outcome predictions based on receiver operating characteristic (ROC) analysis and accuracy assessments.

Risk factors for prediabetes in community-dwelling adults: A generalized estimating equation logistic regression approach with natural language processing insights

The global prevalence of prediabetes is expected to reach 8.3% (587 million people) by 2045, with 70% of people with prediabetes developing diabetes during their lifetimes. We aimed to classify community-dwelling adults with a high risk for prediabetes based on prediabetes-related symptoms and to identify their characteristics, which might be factors associated with prediabetes. We analyzed homecare nursing records (n = 26,840) of 1628 patients aged over 20 years. Using a natural language processing algorithm, we classified each nursing episode as either low-risk or high-risk for prediabetes based on the detected number and category of prediabetes-symptom words. To identify differences between the risk groups, we employed t-tests, chi-square tests, and data visualization. Risk factors for prediabetes were identified using multiple logistic regression models with generalized estimating equations. A total of 3270 episodes (12.18%) were classified as potentially high-risk for prediabetes. There were significant differences in the personal, social, and clinical factors between groups. Results revealed that female sex, age, cancer coverage as part of homecare insurance coverage, and family caregivers were significantly associated with an increased risk of prediabetes. Although prediabetes is not a life-threatening disease, uncontrolled blood glucose can cause unfavorable outcomes for other major diseases. Thus, medical professionals should consider the associated symptoms and risk factors of prediabetes. Moreover, the proposed algorithm may support the detection of individuals at a high risk for prediabetes. Implementing this approach could facilitate proactive monitoring and early intervention, leading to reduced healthcare expenses and better health outcomes for community-dwelling adults.

Peripheral Lymphocyte-to-Monocyte Ratio as a Predictive Factor for Early Neurological Deterioration in Patients with Acute Ischemic Stroke

Purpose

Previous studies have reported that lymphocyte-to-monocyte ratio (LMR) is associated with the prognosis of patients with acute ischemic stroke (AIS); however, the relationship between LMR and early neurological deterioration (END) in AIS patients has not been elucidated.

Patients and Methods

Patients were divided into two groups according to LMR by using receiver operating characteristic (ROC) curve analysis. Patients with END were confirmed as the National Institutes of Health Stroke Scale (NIHSS) increased ≥ 4 points between hospital days 0 and 5. Multivariate logistic regression analysis was used to analyze the factors independently related to END in patients with AIS.

Results

In total, 202 patients diagnosed with AIS were enrolled in this retrospective study. Using ROC curve analysis, patients were divided into two groups according to LMR: low LMR group (LMR < 3.24, n = 95) and high LMR group (LMR ≥ 3.24, n = 107). The frequencies of END were significantly higher in the low LMR group compared to the high LMR group (41.05 vs.15.89%, p < 0.001). Multivariate logistic regression showed that age (OR = 1.03, 95% CI 1.01-1.06, p = 0.04), infarct volume (OR = 1.01, 95% CI 1.00-1.02, p = 0.001), neutrophil count (OR = 1.17, 95% CI 1.03-1.33, p = 0.018), and LMR (OR = 2.49, 95% CI 1.01-9.11, p = 0.018) were independently associated with END in AIS patients.

Conclusion

A peripheral LMR levels at admission were significantly associated with END and LMR < 3.24 is an independent predictive factor of END in patients with AIS.

Variants in 3p24.3 predicts the risk of early neurological deterioration in large artery atherosclerotic stroke

The rate of early neurological deterioration (END) differs in different subtypes of ischaemic stroke. Previous studies showed PLCL2 gene is a novel susceptibility locus for the occurrence of atherosclerosis and thrombotic events. The objective of this research is to examine the efficacy that PLCL2 may have on the risk of END in large artery atherosclerotic (LAA) stroke. Tagged single nucleotide polymorphisms (SNPs) were identified by a strategy of fine-mapping. The genotyping of the selected SNPs was performed by SNPscan. The impact of PLCL2 on indicating the susceptibility of END in LAA patients was evaluated by binary logistic regression. The SNP-SNP interactions of PLCL2 for END was assessed by generalized multifactor dimensionality reduction (GMDR). A total of 1527 LAA stroke patients were recruited, 582 patients (38 %) experienced END. Compared to participants without END, participants experienced END were much older (P = 0.018), more likely to suffer pre-existing diabetes mellitus (P = 0.036), higher frequent in active tobacco users (P = 0.022) and had much higher median NIHSS on admission (P < 0.001). Rs4685423 was identified to be a predictor to the risk of END: the frequency of END in AA genotype patients is lower than that in AC or CC genotype patients (multivariate-adjusted, OR 0.63; 95 % CI 0.49-0.80; P < 0.001). The SNP-SNP interactions analysis indicates rs4685423 has the greatest impacton the risk of END for LAA patients. The time from admission diagnosis to END onset in AA genotype patients is much later than that in CA or CC genotype patients (log-rank, P = 0.005). In summary, the PLCL2 rs4685423 SNP is probably associated with the END risk in LAA stroke patients.

Associations of diabetes status and glucose measures with outcomes after endovascular therapy in patients with acute ischemic stroke: an analysis of the nationwide TREAT-AIS registry

Background

Hyperglycemia affects the outcomes of endovascular therapy (EVT) for acute ischemic stroke (AIS). This study compares the predictive ability of diabetes status and glucose measures on EVT outcomes using nationwide registry data.

Methods

The study included 1,097 AIS patients who underwent EVT from the Taiwan Registry of Endovascular Thrombectomy for Acute Ischemic Stroke. The variables analyzed included diabetes status, admission glucose, glycated hemoglobin (HbA1c), admission glucose-to-HbA1c ratio (GAR), and outcomes such as 90-day poor functional outcome (modified Rankin Scale score ≥ 2) and symptomatic intracranial hemorrhage (SICH). Multivariable analyses investigated the independent effects of diabetes status and glucose measures on outcomes. A receiver operating characteristic (ROC) analysis was performed to compare their predictive abilities.

Results

The multivariable analysis showed that individuals with known diabetes had a higher likelihood of poor functional outcomes (odds ratios [ORs] 2.10 to 2.58) and SICH (ORs 3.28 to 4.30) compared to those without diabetes. Higher quartiles of admission glucose and GAR were associated with poor functional outcomes and SICH. Higher quartiles of HbA1c were significantly associated with poor functional outcomes. However, patients in the second HbA1c quartile (5.6-5.8%) showed a non-significant tendency toward good functional outcomes compared to those in the lowest quartile (<5.6%). The ROC analysis indicated that diabetes status and admission glucose had higher predictive abilities for poor functional outcomes, while admission glucose and GAR were better predictors for SICH.

Conclusion

In AIS patients undergoing EVT, diabetes status, admission glucose, and GAR were associated with 90-day poor functional outcomes and SICH. Admission glucose was likely the most suitable glucose measure for predicting outcomes after EVT.

Prevalence of prediabetes and risk of CVD mortality in individuals with prediabetes alone or plus hypertension in Northeast China: insight from a population based cohort study

BACKGROUND

To evaluate the current prevalence of prediabetes in northeast China, and further determine the association between prediabetes alone or coexistent with hypertension and cardiovascular disease (CVD) mortality.

METHODS

In the prospective study, 15,557 participants without diabetes among aged ≥40 years in northeast China, were followed for a median of 5.5 years. Following the American Diabetes Association, prediabetes was defined as fasting plasma glucose (FPG) range of 5.6-6.9 mmol/L or glycated hemoglobin (HbA1c) range of 5.7-6.4% in people without diabetes.

RESULTS

The prevalence of prediabetes was 44.3% among population aged ≥40 years in northeast China. Prediabetes alone did not promote risk of CVD mortality. However, when the subgroups were stratified by hypertension, the CVD mortality risk in prediabetes plus hypertension subjects increased significantly compared with population without prediabetes and hypertension. Multivariate-adjusted hazard ratios for CVD mortality in prediabetes subgroups plus hypertension were 2.28 (95% CI: 1.50, 3.47) for those diagnosed by FPG < 5.6 mmol/L & HbA1c 5.7-6.4%, 2.18 (95% CI: 1.53, 3.10) for those diagnosed by FPG 5.6-6.0 mmol/L & HbA1c < 6.5% and 2.35 (95% CI: 1.65, 3.35) for those diagnosed by FPG 6.1-6.9 & HbA1c < 6.5% compared with the reference group. Moreover, the percentage of hypertension in prediabetes subjects was high (60.4%), but the awareness, treatment and control rates were far from satisfactory (45.3, 35.1 and 4.8%, respectively).

CONCLUSIONS

The prevalence of prediabetes remains high in northeast China, and the CVD mortality was elevated significantly in prediabetes coexistent with hypertension. Considering the high percentage and low control rate of hypertension in prediabetes, strategies focused on HbA1c screening, FPG lowering and blood pressure management should be emphasized in northeast China.

Pathophysiology and Optimal Treatment of Intracranial Branch Atheromatous Disease

Intracranial branch atheromatous disease (BAD) is a pathological condition characterized by the occlusion of a relatively large perforating branch (700-800 µm) near the orifice of a parent artery due to atherosclerotic plaque-based thrombus (microatheroma). BAD is refractory to treatment and follows a course of progressive exacerbation, especially motor paralysis. Uniform treatment for common atherothrombotic cerebral infarction or lacunar infarction does not prevent the progressive exacerbation of BAD, and consequently affects functional prognosis. To date, various combinations of treatments have been investigated and proposed to attenuate the worsening symptoms of BAD. However, no therapy with established efficacy is yet available for BAD. Since it is the most difficult condition to treat in the area of cerebral infarction, the establishment of optimal treatment methods for BAD is keenly awaited. This review presents an overview of the acute treatments available for BAD and discusses the prospects for optimal treatment.

Interpretable Machine Learning Model Predicting Early Neurological Deterioration in Ischemic Stroke Patients Treated with Mechanical Thrombectomy: A Retrospective Study

Early neurologic deterioration (END) is a common and feared complication for acute ischemic stroke (AIS) patients treated with mechanical thrombectomy (MT). This study aimed to develop an interpretable machine learning (ML) model for individualized prediction to predict END in AIS patients treated with MT. The retrospective cohort of AIS patients who underwent MT was from two hospitals. ML methods applied include logistic regression (LR), random forest (RF), support vector machine (SVM), and extreme gradient boosting (XGBoost). The area under the receiver operating characteristic curve (AUC) was the main evaluation metric used. We also used Shapley Additive Explanation (SHAP) and Local Interpretable Model-Agnostic Explanations (LIME) to interpret the result of the prediction model. A total of 985 patients were enrolled in this study, and the development of END was noted in 157 patients (15.9%). Among the used models, XGBoost had the highest prediction power (AUC = 0.826, 95% CI 0.781–0.871). The Delong test and calibration curve indicated that XGBoost significantly surpassed those of the other models in prediction. In addition, the AUC in the validating set was 0.846, which showed a good performance of the XGBoost. The SHAP method revealed that blood glucose was the most important predictor variable. The constructed interpretable ML model can be used to predict the risk probability of END after MT in AIS patients. It may help clinical decision making in the perioperative period of AIS patients treated with MT.

Does Weekends Effect Exist in Asia? Analysis of Endovascular Thrombectomy for Acute Ischemic Stroke in A Medical Center

BACKGROUND

Discussing the quality measurements based on interrupted time series in ischemic stroke, delays are often attributed to weekends effect. This study compared the metrics and outcomes of emergent endovascular thrombectomy (EST) during working hours versus non-working hours in the emergency department of an Asian medical center.

METHODS

A total of 297 patients who underwent EST between January 2015 and December 2018 were retrospectively included, with 52.5% of patients presenting during working hours and 47.5% presenting during nights, weekends, or holidays.

RESULTS

Patients with diabetes were more in non-working hours than in working hours (53.9% vs. 41.0%; p=0.026). It took longer during nonworking hours than working hours in door-to -image times (13 min vs. 12 min; p=0.04) and door-to-groin puncture times (median: 112 min vs. 104 min; p=0.042). Significant statistical differences were not observed between the two groups in neurological outcomes, including successful reperfusion and complications such as intracranial hemorrhage and mortality. However, the change in National Institute of Health Stroke Scale (NIHSS) scores in 24 hours was better in the working-hour group than in the nonworking-hour group (4 vs. 2; p=0.058).

CONCLUSION

This study revealed that nonworking-hour effects truly exist in patients who received EST. Although delays in door-to-groin puncture times were noticed during nonworking hours, significant differences in neurological functions and mortality were not observed between working and non-working hours. Nevertheless, methods to improve the process during non-working hours should be explored in the future.

Pioglitazone Attenuates Ischemic Stroke Aggravation By Blocking PPARγ Reduction and Inhibiting Chronic Inflammation in Diabetic Mice

Diabetes can cause vascular remodeling and is associated with worse outcome after ischemic stroke. Pioglitazone is a commonly used anti-diabetic agent. However, it is not known whether pioglitazone use before ischemia could reduce brain ischemic injury. Pioglitazone was administered to 5-week-old db⁺ or db/db mice. Cerebral vascular remodeling was examined at the age of 9 weeks. Expression of peroxisome proliferator-activated receptor-γ (PPARγ), p-PPARγ (S112 and S273), nucleotide-binding domain (NOD)-like receptor protein 3 (Nlrp3), interleukin-1β (IL-1β) and tumor necrosis factor-α (TNF-α) was evaluated in the somatosensory cortex of mice. Neurological outcome was evaluated 24 h after brain ischemia. Results showed that early pioglitazone treatment provided a long-lasting effect of euglycemia but enhanced hyperlipidemia in the db/db mice. Diabetic mice exhibited increased vascular tortuosity, narrower middle cerebral artery (MCA) width and IgG leakage in the brain. These changes were blocked by early pioglitazone treatment. In diabetic animals, PPARγ expression was reduced and p-PPARγ at S273 but not S112, Nlrp3, IL-1β and TNF-α were increased in the somatosensory cortex. PPARγ decrease and Nlrp3 increase were mainly in the neurons of the diabetic brain, which was reversed by early pioglitazone treatment. Pioglitazone attenuated the aggravated neurological outcome after stroke in diabetic mice. But this protective effect was abolished through restoring cerebral inflammation by intracerebroventricular administration of IL-1β and TNF-α in pioglitazone treated diabetic mice before MCAO. In summary, early pioglitazone treatment attenuates cerebral vascular remodeling and ischemic brain injury possibly via blocking chronic neuroinflammation in the db/db mice.

Early neurological deterioration in acute ischemic stroke patients after intravenous thrombolysis with alteplase predicts poor 3-month functional prognosis - data from the Thrombolysis Implementation and Monitor of Acute Ischemic Stroke in China (TIMS-China)

Background

We aimed to investigate the risk factors of early neurological deterioration (END) after intravenous thrombolysis with recombinant tissue-type plasminogen activator (rt-PA) and the relationship between END and poor 3-month functional outcomes.

Methods

Patients who accepted intravenous recombinant rt-PA were enrolled continuously. END was defined as an increase in National Institute of Health Stroke (NIHSS) score ≥ 4 points or death within 24 hours after intravenous thrombolysis. The modified Rankin Scale (mRS) score was recorded to evaluate the functional outcome of stroke, and the poor 3-month prognosis was defined as an mRS score ≥ of 3. Univariate and multivariate analyses were used to analyze the risk factors of END. The relation between END and 3-month functional outcome was analyzed by multivariate logistic regression analysis.

Results

A total of 1107 patients (mean age, 63.42 ± 11.33 years; 673 males) were included in the final analysis, and 81(7.32%) patients had END. In multivariate analysis, the serum glucose level was significantly associated with END; the odds ratio was 1.10 (95% CI 1.03 to 1.18, p = 0.004). The multivariate logistic analysis showed END has a notable association with the poor 3-month functional recovery even after adjusting for confounding factors; the adjusted OR was 8.25 (95% CI 3.77 to 18.03, p < 0.0001).

Conclusions

The initial serum glucose level might be an independent risk factor of END, and END might predict a poor 3-month prognosis.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12883-022-02737-8.

Prevalence and In-hospital outcomes of diabetes among acute ischemic stroke patients in china: results from the Chinese Stroke Center Alliance

Background

Patients with ischemic stroke and diabetes are classified as extreme risk for secondary prevention, with much attention and specific management. However, the up-to-date information regarding the burden of diabetes in acute ischemic stroke (AIS) patients is lacking in China, and evidence for an association between diabetes and in-hospital outcomes after AIS remains controversial.

Methods

This quality improvement study was conducted at 1,476 participating hospitals in the Chinese Stroke Center Alliance between 2015 and 2019. Prevalence of diabetes was evaluated in the overall study population and different subgroups. The association between diabetes and in-hospital outcomes in AIS patients was analyzed by using multivariable logistic regression analysis and propensity score-matched analysis.

Results

Of 838,229 patients with AIS, 286,252 (34.2%) had diabetes/possible diabetes. The prevalence of diabetes/possible diabetes was higher in women than in men (37.6% versus 32.1%). Patients with diabetes/possible diabetes had higher rates of adverse in-hospital outcomes than those without. Multivariable analysis revealed a significant association between diabetes/possible diabetes and adverse in-hospital outcomes (all-cause mortality: odds ratio [OR], 1.30 [95% confidence interval [CI], 1.23–1.38]; major adverse cardiovascular events (MACEs): OR, 1.08 [95% CI, 1.06–1.10]) in AIS patients. The excess risk of in-hospital outcomes still remained in AIS patients with diabetes/possible diabetes after propensity score-matching analysis (all-cause mortality: OR, 1.26 [95% CI, 1.17–1.35]; MACEs: OR, 1.07 [95% CI, 1.05–1.10]).

Conclusion

Diabetes was highly prevalent among AIS patients in China and associated with worse in-hospital outcomes. Greater efforts to increase targeted approach to secondary prevention treatments of diabetes in AIS patients are warranted.

Supplementary Information

The online version contains supplementary material available at 10.1007/s00415-022-11112-z.

Fasting Blood-Glucose Level and Clinical Outcome in Anterior Circulation Ischemic Stroke of Different Age Groups After Endovascular Treatment

OBJECTIVE

We aimed to analyze the association between fasting blood-glucose (FBG) level and 3-month functional outcome in anterior circulation ischemic stroke in different age groups after endovascular treatment (EVT).

METHODS

We retrospectively analyzed the consecutive patients with acute ischemic stroke (AIS) receiving EVT from our department between July 2015 and March 2021. The patients were categorized into the older (≥60 years) and younger (<60 years) groups, and patients in each age group were dichotomized into favorable versus unfavorable outcomes according to the 3-month modified Rankin Scale (mRS) score.

RESULTS

A total of 504 patients (286 males and 218 females) were included in our study. Three hundred ninety-two patients (77.8%) belonged to the group aged ≥60 years, and 112 (22.2%) belonged to the group aged <60 years. At the end of the study, 222 (56.6%) patients developed unfavorable outcomes in the older group and 31 (27.7%) showed unfavorable outcomes in the younger group. FBG level of the younger patients was significantly lower than that of older patients. In the older group, FBG level independently predicted a 3-month clinical unfavorable outcome with an odds ratio of 1.242 (95% confidence interval, 1.096-1.407; p = 0.001). However, the association was not found in the younger group (p = 0.376).

CONCLUSION

Higher FBG level is an independent risk factor for 3-month unfavorable outcome in the AIS patients aged ≥60 years receiving EVT, but no similar effect was seen in the group aged <60 years.

Effect of Diabetes on Post-stroke Recovery: A Systematic Narrative Review

Background: Patients with stroke often have comorbid diabetes. Considering its detrimental effects on brain function, diabetes may increase the risk of poor recovery. Methods: The aim of this review was to investigate the effect of diabetes on post-stroke recovery by a systematic review. Several specific aspects of post-stroke recovery, including activities of daily living (ADL), motor, cognitive, and quality of life (QOL) recovery, were examined. We searched the PubMed, SCOPUS, Embase, and Cochrane Library databases for relevant studies on the effect of diabetes on post-stroke recovery, published until May 26, 2021. A total of 52,051 potentially relevant articles were identified. After reading the titles and abstracts and assessing their eligibility based on full-text articles, 34 publications were included in this review. Results: Of 29 studies that assessed ADL recovery after stroke, 22 studies suggested that diabetes had a negative effect on recovery of ADL after stroke. Regarding motor recovery, only one out of four studies showed that diabetes had some effect on motor recovery after stroke. Of the two studies on cognitive recovery, one reported that diabetes was an independent predictor of poor cognitive recovery after stroke. Three studies on QOL reported that a poor QOL after stroke was associated with the presence of diabetes. Conclusions: The current review suggests that the post-stroke recovery of ADL seems to be poorer in patients with diabetes than patients without diabetes. Further, there are insufficient data to conclude the effect of diabetes on motor and cognitive recovery, but it may have some influence on the quality of life after stroke. Systematic Review Registration: doi: 10.37766/inplasy2021.11.0032, identifier: INPLASY2021110032.

Diabetes As an Independent Risk Factor for Stroke Recurrence in Ischemic Stroke Patients: An Updated Meta-Analysis

INTRODUCTION

Stroke and its recurrence and diabetes will increase in incidence as the population ages globally. This study explores the relationship between diabetes and stroke recurrence to understand if diabetes is an independent predictor for stroke recurrence in ischemic stroke (IS) patients.

METHODS

We conducted a systematic review and meta-analysis of studies on the effect of diabetes on stroke recurrence among patients with IS. We searched population-based studies published before 15th February 2021 in PubMed and EMBASE following PRISMA guidelines. Random-effects estimates of the pooled hazard ratio (HR) and 95% confidence intervals (CIs) of each study were generated. A funnel plot and an Egger test were performed to evaluate publication bias. All statistical analyses were conducted in the R software 4.0.1 and Stata 16.0.

RESULTS

The search identified 3,121 citations, of which 27 studies met inclusion criteria. Diabetes was associated with a significant risk of stroke recurrence in all IS patients (pooled HR, 1.50; 95% CI: 1.36-1.65; I2 = 61.0%). Similar results were found in lacunar stroke patients with diabetes (pooled HR, 1.65; 95% CI: 1.41-1.92; I2 = 22.0%). Moreover, we found that the risk of recurrent IS among patients of IS with diabetes was higher than that in those without diabetes (pooled HR, 1.53; 95% CI: 1.30-1.81; I2 = 74.0%).

CONCLUSION

Diabetes is an independent risk factor for stroke recurrence among patients with IS.

Modeling and simulation to predict the degree of disability over time in acute ischemic stroke patients

Disability in patients with acute stroke varies over time, with the prediction of outcomes being critical for proper management. This study aimed to develop a model to predict the cumulative probability of each modified Rankin Scale (mRS) score over time with inclusion of significant covariates. Longitudinal data obtained from 193 patients, 1–24 months after onset of acute ischemic stroke, were included for a modeling analysis using nonlinear mixed‐effect modeling (NONMEM). After selecting a model that best described the time course of the probability of different mRS scores, potential covariates were tested. Visual predicted check plots, parameter estimates, and decreases in minimum objective function values were used for model evaluation. The inclusion of disease progression (DP) in the baseline proportional odds cumulative logit model significantly improved the model compared to the baseline model without DP. An inhibitory maximum effect (E_max) model was determined to be the best DP model for describing the probability of specific mRS scores over time. In the final model, DP was multiplied with the baseline cumulative logit probability with a baseline adjustment. In addition to differences in lesion volume (DLV), the final model included comorbid diabetes mellitus (DM) and baseline National Institutes of Health Stroke Scale (NIHSS) scores on E_max as statistically significant covariates. This study developed a model including DLV, NIHSS score, and comorbid DM for predicting the disability time course in patients with acute ischemic stroke. This model may help to predict disease outcomes and to develop more appropriate management plans for patients with acute stroke.

Pre-diabetes is a predictor of short-term poor outcomes after acute ischemic stroke using IV thrombolysis

BACKGROUNDS

Pre-diabetes is an intermediate state between normal glucose metabolism and diabetes. Recent studies suggest that the presence of pre-diabetes is associated with poor outcomes after AIS. However, the results have been controversial. This study examines whether pre-diabetes influences the patients' short and long-term outcomes for AIS using IV thrombolysis.

METHODS

We enrolled 661 AIS patients with IV thrombolysis. Based on the 2010 ADA guidelines, patients were classified as pre-diabetes, with HbA1c levels of 5.7-6.4%; diabetes, with HbA1c levels more than 6.5%; and NGM (normal glucose metabolism), with HbA1c levels less than 5.7%. We investigated short-term outcomes, including early neurologic deterioration (END), in-hospital death, and poor functional outcomes (mRS > 2) at 90 days. As for long-term outcomes, poor functional outcomes were measured at 1 year.

RESULTS

Of the 661 AIS patients treated with IV thrombolysis, 197 patients (29.8%) were diagnosed with pre-diabetes, and 210 (31.8%) were diagnosed with diabetes. In a multivariate analysis, pre-diabetes was an independent predictor for END (OR = 2.02; 95% CI 1.12-3.62; p = 0.02) and in-hospital death (OR = 3.12; 95% CI 1.06-9.09; p = 0.04). On the other hand, diabetes was a significant independent factor for poor long-term outcomes (OR = 1.75; 95% CI 1.09-2.78; p = 0.02) after correcting confounding factors.

CONCLUSIONS

Unlike diabetes, pre-diabetes can be an important predictor of short-term outcomes after AIS. However, a more detailed research is needed to specify the precise mechanisms through which pre-diabetes affects the prognosis of acute ischemic stroke.

Metabolic endotoxemia promotes neuroinflammation after focal cerebral ischemia

Lipopolysaccharide (LPS) is a major component of the outer membrane of Gram-negative bacteria and a potent inflammatory stimulus for the innate immune response via toll-like receptor (TLR) 4 activation. Type 2 diabetes is associated with changes in gut microbiota and impaired intestinal barrier functions, leading to translocation of microbiota-derived LPS into the circulatory system, a condition referred to as metabolic endotoxemia. We investigated the effects of metabolic endotoxemia after experimental stroke with transient middle cerebral artery occlusion (MCAO) in a murine model of type 2 diabetes (db/db) and phenotypically normal littermates (db/+). Compared to db/+ mice, db/db mice exhibited an altered gut microbial composition, increased intestinal permeability, and higher plasma LPS levels. In addition, db/db mice presented increased infarct volumes and higher expression levels of LPS, TLR4, and inflammatory cytokines in the ischemic brain, as well as more severe neurological impairments and reduced survival rates after MCAO. Oral administration of a non-absorbable antibiotic modulated the gut microbiota and improved metabolic endotoxemia and stroke outcomes in db/db mice; these effects were associated with reduction of LPS levels and neuroinflammation in the ischemic brain. These data suggest that targeting metabolic endotoxemia may be a novel potential therapeutic strategy to improve stroke outcomes.

Silent atrial fibrillation detected by home-monitoring: Cardiovascular disease and stroke prevention in patients with diabetes

OBJECTIVE

Patients with silent and undiagnosed paroxysmal atrial fibrillation and flutter (AF) have increased risk of ischemic stroke. Patients with diabetes have a higher risk of both AF and ischemic stroke compared to patients without diabetes. Our aim was to investigate the prevalence of silent AF in patients with diabetes in an outpatient cohort and to identify the possible risk factors associated with AF.

RESEARCH DESIGN AND METHODS

This prospective observational study was performed in the outpatient diabetes clinic at a single University Hospital. We included 217 patients with type 1 or type 2 diabetes with at least one additional risk factor from the CHA₂DS₂VASc Score for Stroke Risk Assessment in Atrial Fibrillation. The primary outcome was prevalence of AF, with a duration of at least 30 s, recorded by a seven-day home-monitor, external loop recorder (ELR) in comparison to a standard resting ECG. Seventeen patients were excluded due to premature removal of the device.

RESULTS

In the final cohort of 200 patients the majority were male (58.5%) with a mean age of 66 ± 0.7 years. The mean BMI was 29 ± 6 and patients had a mean diabetes history of 23 ± 14 years with the majority diagnosed with type 2 diabetes (59%). Comorbidity was common with hypertension in 86%, and dyslipidemia in 80%. The total prevalence of silent AF [n = 20 (10%)] or flutter [n = 1 (0.5%)] was 10.5% using the ELR compared to a 0.0% detection-rate in the standard ECG method (p < 0.001). Higher age, male gender, albuminuria, and elevated systolic blood pressure were associated with AF in univariate analyses, but only age [OR 1.14 (95% CI = 1.00-2.04) (p = 0.048)], male gender [OR 4.9 (95% CI = 1.30-18.65) (p = 0.019)] and albuminuria [OR 2.7 (95% CI =1.08-6.98) (p = 0.034) were independently associated with AF. Mean CHA₂DS₂VASc Score was ≥2 (4.1, SD ± 1.6), and patients with AF were referred to further cardiac evaluation.

CONCLUSION

Undiagnosed, silent AF is common in high-risk cohort with a long history of diabetes followed in a University Hospital outpatient clinic. Non-invasive monitoring with ELR enhances detection of AF and identifies candidates for early anticoagulation treatment with the possible effect of stroke prevention.

Recent glycemic control can predict the progressive motor deficits of acute subcortical infarction with diabetes or prediabetes

BACKGROUND AND PURPOSE

The predictors of progressive motor deficits in acute subcortical infarctions are still controversial. It is not known whether glycemic control influences on stroke progression.

METHODS

A total of 268 consecutive patients with diabetes or prediabetes who had acute (< 24 h) subcortical infarction were enrolled. (1) All patients were divided into 4 groups by quartile of glycated hemoglobin (HbA1c). (2) Only the patients with diabetes were divided by effective glycemic control. Progressive motor deficits were prospectively captured and defined as an increase of motor score ≥ 1 on the upper or lower limb items of the National Institute of Health Stroke Scale within 72 h from stroke onset.

RESULTS

Progressive motor deficits occur in 8/78 (10.3%) for ≤ 5.9, 15/61 (24.6%) for 6.0-6.4, 16/62 (25.8%) for 6.5-7.4, and 30/67 (44.8%) for ≥ 7.5. In diabetic patients alone, those occur in 5/37 (13.5%) for ≤ 6.5, 10/42 (23.8%) for 6.6-7.0, 12/42 (28.6%) for 7.1-8.0, and 24/50 (48.0%) for ≥ 8.1. An adjusted OR of progressive motor deficits was 2.61 (95% confidence interval [CI] 0.98-7.00, P = .056) for 6.0-6.4, 3.42 (95% CI 1.27-9.18, P = .015) for 6.5-7.4, and 6.65 (95% CI 2.38-18.62, P < .001) for ≥ 7.5. In diabetic patients alone, those were 3.15 (95% CI 0.89-11.15, P = .075) for 6.6-7.0, 2.90 (95% CI 0.79-10.61, P = .107) for 7.1-8.0, and 4.17 (95% CI 1.07-16.25, P = .038) for ≥ 8.1. The optimal cutoff value of HbA1c was 6.65% in discriminating progressive motor deficits.

CONCLUSION

Increased HbA1c was associated with higher incidence of progressive motor deficits in acute subcortical infarction with diabetes and prediabetes.

A novel nomogram to predict early neurological deterioration in patients with acute ischaemic stroke

BACKGROUND AND PURPOSE

Acute ischaemic stroke (AIS) is a vital cause of mortality and morbidity in China. Many AIS patients develop early neurological deterioration (END). This study aimed to construct a nomogram to predict END in AIS patients.

METHODS

Acute ischaemic stroke patients in Nanjing First Hospital were recruited as the training cohort. Additional patients in Nantong Third People's Hospital were enrolled as the validation cohort. Multivariate logistic regression was utilized to establish the nomogram. Discrimination and calibration performance of the nomogram were tested by concordance index and calibration plots. Decision curve analysis was employed to assess the utility of the nomogram.

RESULTS

In all, 1889 and 818 patients were recruited in the training and validation cohorts, respectively. Age [odds ratio (OR) 1.075; 95% confidence interval (CI) 1.059-1.091], diabetes mellitus (OR 1.673; 95% CI 1.181-2.370), atrial fibrillation (OR 3.297; 95% CI 2.005-5.421), previous antiplatelet medication (OR 0.473; 95% CI 0.301-0.744), hyper-sensitive C-reactive protein (OR 1.049; 95% CI 1.036-1.063) and baseline National Institutes of Health Stroke Scale (OR 1.071; 95% CI 1.045-1.098) were associated with END and incorporated in the nomogram. The concordance index was 0.826 (95% CI 0.785-0.885) and 0.798 (95% CI 0.749-0.847) in the training and validation cohorts. By decision curve analysis, the model was relevant between thresholds of 0.06 and 0.90 in the training cohort and 0.08 and 0.77 in the validation cohort.

CONCLUSIONS

The nomogram composed of hyper-sensitive C-reactive protein, age, diabetes mellitus, atrial fibrillation, previous antiplatelet medication and baseline National Institutes of Health Stroke Scale may predict the risk of END in AIS patients.

Prognosis and Associated Factors among Elderly Patients with Small Artery Occlusion

Small artery occlusion (SAO) is the one of the primary subtype of ischemic stroke in China. However, its outcomes among elderly patients are unclear. Consecutive patients with SAO were recruited at Jiamusi University First Hospital, China between January 2008 and December 2016. Stroke subtype, severity, and risk factors were collected; outcomes at 3, 12, and 36 months after stroke onset were assessed. A total of 1464 SAO patients were included in this study. Participants aged ≥75 years had higher dependency rates than Participants aged <75 years with SAO in all three follow-up periods, in addition to a higher recurrence rate at 12 months and a higher mortality rate 36 months after stroke. After adjusting for confounders, elevated triglyceride level was found to be a protective factor against mortality 36 months after stroke. Stroke severity, diabetes mellitus, artery stenosis, gender, obesity, and high-density lipoprotein cholesterol level were independently associated with the risk of dependency; elevated triglyceride level was an independent risk factor for recurrence at 3 months point after stroke onset. These findings suggest that it is vital to manage risk factors that may affect prognosis of stroke among elderly patients with SAO to improve patient prognosis and reduce the burden of stroke in China.

Homeostasis model assessment of insulin resistance and outcome of ischemic stroke in non-diabetic patients - a prospective observational study

Background

Insulin resistance (IR) in relation to diabetes is a risk factor for ischemic stroke (IS), whereas less is known about non-diabetic IR and outcome after IS.

Methods

In non-diabetic IS (n = 441) and controls (n = 560) from the Sahlgrenska Academy Study on Ischemic Stroke (SAHLSIS), IR was investigated in relation to IS severity and functional outcome. IR was evaluated acutely and after 3 months using the Homeostasis model assessment of IR (HOMA-IR). Stroke severity was assessed by the National Institutes of Health Stroke Scale (NIHSS). Functional outcome was evaluated using the modified Rankin Scale (mRS) after 3 months, 2 and 7 years. Associations were evaluated by logistic regression.

Results

Higher acute and 3-month HOMA-IR was observed in IS compared to the controls (both p < 0.001) and in severe compared to mild IS (both p < 0.05). High acute HOMA-IR was associated with poor outcome (mRS 3–6) after 3 months and 7 years [crude Odds ratios (ORs), 95% confidence intervals (CIs) 1.50, 1.07–2.11 and 1.59, 1.11–2.30, respectively], but not after 2 years. These associations lost significance after adjustment for all covariates including initial stroke severity. In the largest IS subtype (cryptogenic stroke), acute HOMA-IR was associated with poor outcome after 2 years also after adjustment for age and stroke severity (OR 2.86, 95% CI 1.01–8.12).

Conclusions

In non-diabetic IS patients, HOMA-IR was elevated and related to stroke severity, but after adjustment for IS severity, the associations between HOMR-IR and poor outcome lost significance. This could suggest that elevated IR mostly is a part of the acute IS morbidity. However, in the subgroup of cryptogenic stroke, the associations with poor outcome withstood correction for stroke severity.

Genetic and lifestyle predictors of ischemic stroke severity and outcome

BACKGROUND

Different models that include clinical variables and blood markers have been investigated to predict acute ischemic stroke treatment course and recovery.

AIM

The aim of the study was to investigate associations between lipid levels, lifestyle factors, hemostatic (F5, F2, SERPINE1, F13A1, and FGB), and atherogenic (APOA5 and ACE) gene variants and acute ischemic stroke (AIS) severity.

MATERIALS AND METHODS

This study included 250 patients with AIS in which F5, F2, SERPINE1, F13A1, FGB, APOA5, and ACE genotypes were determined. Total cholesterol (TC), high-density cholesterol, low-density cholesterol, and triglycerides concentrations were measured within 24 h of the AIS onset. Examination of the neurological deficit was done using National Institutes of Health Stroke Scale/Score (NIHSS).

RESULTS

APOA5 genotype [TC + CC] was more frequent (P = 0.026) in patients with the NIHSS score ≥ 21. Univariate regression analysis has shown that triglycerides (OR 0.55, 95% CI 0.34-0.91; P = 0.019), obesity (0.28, 95% CI 0.10-0.73; P = 0.010), age (OR 1.08, 95% CI 1.04-1.13; P < 0.001), and APOA5 genotype (TC + CC) (OR 2.40, 95% CI 1.10-5.25; P = 0.034) are significantly associated with a severe stroke. When all variables were included in model age (OR 1.06, 95% CI 1.01-1.11; P = 0.018), obesity (OR 0.25, 95% CI 0.08-0.77; P = 0.016) and APOA5 genotype (TC + CC) (OR 3.26, 95% CI 1.29-8.23; P = 0.012) remained significant for the risk of severe AIS.

CONCLUSION

APOA5 genotype (TC + CC), age, and obesity could be used as prognostic risk factors for a very severe stroke (NIHSS ≥ 21).

Prevalence of diabetes and its effects on stroke outcomes: A meta-analysis and literature review

AIMS/INTRODUCTION

Diabetes mellitus is an established risk factor for stroke and maybe associated with poorer outcomes after stroke. The aims of the present literature review were to determine: (i) the prevalence of diabetes in acute stroke patients through a meta-analysis; (ii) the association between diabetes and outcomes after ischemic and hemorrhagic stroke; and (iii) to review the value of glycated hemoglobin and admission glucose-based tests in predicting stroke outcomes.

MATERIALS AND METHODS

Ovid MEDLINE and EMBASE searches were carried out to find studies relating to diabetes and inpatient stroke populations published between January 2004 and April 2017. A meta-analysis of the prevalence of diabetes from included studies was undertaken. A narrative review on the associations of diabetes and different diagnostic methods on stroke outcomes was carried out.

RESULTS

A total of 66 eligible articles met inclusion criteria. A meta-analysis of 39 studies (n = 359,783) estimated the prevalence of diabetes to be 28% (95% confidence interval 26-31). The rate was higher in ischemic (33%, 95% confidence interval 28-38) compared with hemorrhagic stroke (26%, 95% confidence interval 19-33) inpatients. Most, but not all, studies found that acute hyperglycemia and diabetes were associated with poorer outcomes after ischemic or hemorrhagic strokes: including higher mortality, poorer neurological and functional outcomes, longer hospital stay, higher readmission rates, and stroke recurrence. Diagnostic methods for establishing diagnosis were heterogeneous between the reviewed studies.

CONCLUSIONS

Approximately one-third of all stroke patients have diabetes. Uniform methods to screen for diabetes after stroke are required to identify individuals with diabetes to design interventions aimed at reducing poor outcomes in this high-risk population.

Influence of Hyperglycemia Associated with Enteral Nutrition on Mortality in Patients with Stroke

Objectives: To evaluate in patients admitted for stroke: (1) The frequency of hyperglycaemia associated with enteral nutrition (EN). (2) The risk of morbidity and mortality associated with the development of this type of hyperglycaemia.

METHODS

A longitudinal observational study was conducted in 115 non-diabetic patients admitted for stroke with EN. Age, functional capacity (Rankin scale), and blood plasma glucose (BPG) were recorded. Hyperglycaemia was considered as: a value higher than 126 mg/dL before the EN and/or a value higher than 150 mg/dL after a week of enteral nutrition. According to this, three groups were differentiated: HyperES: Those who had hyperglycemia before the beginning of the EN (33% patients); NoHyper: those who did not have hyperglycemia before or after (47.8% patients); and HyperEN: Those who did not have hyperglycemia before but suffered it after the beginning of the EN (19.1% patients).

RESULTS

The age was 72.72 (15.32) years. A higher rate of mortality was observed in the HyperEN group 45.50%, than HyperES 15.80% or NoHyper: 10.90%). A lower recovery of the oral feeding was observed in those patients of the HyperEN group 27.30%, than HyperES: 42.10% or NoHyper: 61.80%). In the multivariate analysis adjusting for age, sex, and Rankin scale the development of hyperglycemia in those who did not have it at the beginning (HyperEN) was an independent risk factor for non-recovery of the oral feeding (OR: 4.21 (1.20-14.79), p = 0.02); and mortality adjusted for age, sex and Rankin scale (OR: 6.83 (1.76-26.47), p < 0.01).

CONCLUSIONS

In non-diabetic patients admitted for stroke with EN, the development of hyperglycaemia in relation to enteral nutrition supposes an independent risk factor for mortality and for the non-recovery of the oral feeding.

Prediabetes and diabetes are both risk factors for adverse outcomes in infective endocarditis

AIM

Diabetes is a risk factor in infective endocarditis. However, few studies have focused on the prognostic value of prediabetes in infective endocarditis. This analysis aimed to explore the relationship between prediabetes and outcomes for people with infective endocarditis.

METHODS

Diabetes and prediabetes definitions were based on the American Diabetes Association 2014 criteria. A total of 866 people who had been consecutively diagnosed with infective endocarditis between January 2009 and July 2015 were included in the analysis. They were divided into three groups: normoglycaemia (n = 469), prediabetes (n = 246) and diabetes (n = 151). Univariate and multivariate analyses were used to identify risk factors for adverse outcomes.

RESULTS

Overall in-hospital mortality was 8.5% (74 of 866), and differed significantly among the normoglycaemia, prediabetes and diabetes groups (3.4%, 12.6% and 17.9%, respectively; P < 0.001). Compared with the normoglycaemia group, the adjusted odds ratio for in-hospital death was 2.42 [95% confidence interval (CI) 1.11-5.31; P = 0.027) for prediabetes and 3.39 (95% CI 1.48-7.80; P = 0.004) for diabetes. The cumulative long-term death rate was significantly higher in the prediabetes or diabetes groups than in the normoglycaemia group (log-rank = 34.82; P < 0.001).

CONCLUSION

In addition to diabetes, prediabetes was also associated with a higher risk of in-hospital and long-term mortality among people with infective endocarditis. Therefore, attention should be paid to this population.

Significance of prediabetes as a nosological entity

Prediabetes is a glucose metabolism disorder considered as a distinct nosological entity which strongly predicts the development of type 2 diabetes mellitus. This nosological entity itself is a serious condition indicating an increased risk of atherosclerotic and oncological complications. In patients with prediabetes, other components of metabolic syndrome are usually present, such as arterial hypertension, obesity or dyslipidaemia, further increasing an individual's risk of morbidity and mortality. Prediabetes is a long-developing disorder which offers enough time for early diagnosis and intervention; it may even be reversible. This review summarizes current knowledge on the definition, detection, epidemiology, cardiovascular and other consequences of prediabetes. It also gives suggestions for future research, along with recommendations for clinical practice.

Sex differences in outcomes and associated factors among stroke patients with small artery occlusion in China

Background

Sex differences in outcomes after small artery occlusion (SAO) stroke have not been well described, particularly in a Chinese population. We aimed to assess sex differences in outcomes and related risk factors among patients with SAO.

Methods

All consecutive patients with SAO were recruited between May 2005 and September 2014. Clinical features and risk factors were recorded. The mortality, recurrence, and dependency rates at 3 months after stroke were assessed.

Results

A total of 2524 patients with SAO were included in this study. There was a higher frequency of mild stroke, current smoking, and alcohol consumption in men than in women. Women were more likely than men to be older, to have diabetes and obesity, and to have higher total cholesterol, high-density lipoprotein cholesterol, and low-density lipoprotein cholesterol levels. There were worse outcomes in men than in women at 3 months after stroke (P < 0.05). There were more independent risk factors of poor outcome in men than in women. Older age was a common predictive factor of outcome both in men and in women. In men, low triglyceride levels and high fasting plasma glucose levels were independent risk factors for mortality; in addition, a high low-density lipoprotein cholesterol level was associated with recurrence. Moreover, in men, moderate and severe stroke, and high total cholesterol and fasting plasma glucose levels were risk factors for dependency. A negative association was found between low-density lipoprotein cholesterol level and risk of mortality and between total cholesterol level and risk of recurrence in women.

Conclusions

These findings suggest that it is crucial to control conventional risk factors and fasting plasma glucose and lipid levels among patients with SAO, especially male patients, to reduce the burden of stroke in China.

Low Free Triiodothyronine Predicts 3-Month Poor Outcome After Acute Stroke

BACKGROUND AND PURPOSE

The association between thyroid hormone levels and long-term clinical outcome in patients with acute stroke has not yet been thoroughly studied. The purpose of the present study was to test the hypothesis that thyroid hormone levels are associated with 3-month functional outcome and mortality after acute stroke.

METHODS

We retrospectively analyzed 702 consecutive patients with acute stroke (251 women; median age, 73 years) who were admitted to our department. General blood tests, including thyroid stimulating hormone (TSH), free triiodothyronine (FT3), and free thyroxine (FT4), were performed on admission. Neurological severity was evaluated using National Institutes of Health Stroke Scale (NIHSS) scores on admission and modified Rankin Scale (mRS) scores at 3 months after stroke onset. Poor outcome was defined as an mRS score of 3-5 or death. The impact of thyroid function on 3-month outcome was evaluated using multiple logistic regression analysis.

RESULTS

Poor functional outcome was observed in 295 patients (42.0%). Age (P < .0001), female sex (P < .0001), admission NIHSS score (P < .0001), smoking (P = .0026), arterial fibrillation (P = .0002), preadmission mRS (P < .0001), estimated glomerular filtration rate (P = .0307), and ischemic heart disease (P = .0285) were significantly associated with poor functional outcome, but no relationship between FT4, TSH, and poor functional outcome was found. A multivariate logistic regression analysis showed that low FT3 values (<2.00 pg/mL) were independently associated with poor functional outcome (odds ratio [OR], 3.16; 95% confidence interval [CI], 1.60-6.24) and mortality (OR, 2.55; 95% CI, 1.33-4.91) at 3 months after stroke onset.

CONCLUSIONS

Our data suggest that a low FT3 value upon admission is associated with a poor 3-month functional outcome and mortality in patients with acute stroke.

Impact of prediabetes on poststroke depression in Chinese patients with acute ischemic stroke

OBJECTIVE

It is unknown whether prediabetes is a predictor of poststroke depression (PSD). We aimed to explore the relationship between prediabetes and PSD in Chinese patients with acute ischemic stroke.

METHODS

This is a prospective cohort study, and a total of 358 patients with acute ischemic stroke were recruited and enrolled. Patients were divided into 3 groups: normal glucose group (NGT, n = 96), prediabetes group (preDM, n = 134, impaired fasting glucose (IFG), and/or impaired glucose tolerance (IGT) and/or HbA1c (A1c) 5.7%-6.4%), and the diabetes mellitus group (DM, n = 128). At 1 month after stroke, patients with a Hamilton Depression Scale score of ≥8 were diagnosed as PSD.

RESULTS

In post hoc comparisons, the risk of PSD in patients with diabetes and prediabetes was higher than patients with NGT (37.5% vs 31.3% vs 14.6%, P = .001). Compared with NGT, the incidence rate of PSD in patients with prediabetes with HbA1c 5.7% to 6.4% and patients with prediabetes with IFG/IGT + HbA1c 5.7% to 6.4% was higher (35.3% vs 14.6%, 38.0% vs 14.6%; P = .006; P = .003, respectively). In logistic regression, prediabetes with HbA1c 5.7% to 6.4% and prediabetes with IFG/IGT + HbA1c 5.7% to 6.4% were a significant independent predictor of PSD after adjusting for potential confounding factors, with odd ratios of 1.731 and 1.978, respectively.

CONCLUSIONS

Our study showed that prediabetes was associated with PSD and may predict its development at 1 month poststroke. In prediabetes subgroups, patients with HbA1c 5.7% to 6.4% were more likely to develop PSD compared to NGT and IFG/IGT groups.

Factors Associated with Early Recovery after Intravenous Thrombolytic Therapy in Acute Ischemic Stroke

Introduction

In this study, we aimed to identify the factors associated with early neurological improvement (ENI) in acute stroke patients treated with intravenous recombinant tissue plasminogen activator (IV rt-PA), and to determine the association between ENI and outcomes at 3 months after stroke.

Methods

Patients with acute ischemic stroke who were treated with IV rt-PA within 4.5 hours of symptom onset from February 2009 to December 2016 were included in the study at the stroke center of Eskişehir Osmangazi University Medical Faculty. ENI was defined as an improvement in National Institutes of Health Stroke Scale (NIHSS) score of ≥8 points compared to the pretreatment score or an NIHSS score of 0 or 1 at 24 hours after stroke. We assessed the outcomes at 3 months after treatment using the modified Rankin Scale (mRS) score, and mRS scores of 0-1 were defined as 'very good' outcomes.

Results

ENI was observed in 43.9% of 355 patients included in the study. Very good outcome at the 3rd month was detected in 80.1% of the patients with ENI, and in 15.6% of the patients without ENI (p<0.001). Patients with ENI were younger (p=0.025), and had lower NIHSS scores (p=0.027) and higher ASPECT scores (p=0.008) than those without. The ENI group had lower serum glucose levels at the time of admission (p< 0.001). Additionally, the presence of diabetes mellitus, hypertension, and hyperdense artery sign were more frequent in the ENI group (p=0.001, p=0.024, and p<0.001, respectively). Finally, multiple regression analysis showed a significant relationship between serum glucose level, hyperdense artery sign, and ENI.

Conclusion

There is a significant relationship between ENI and very good outcome at 3 months in acute stroke patients who received IV rt-PA. Therefore, the management of factors such as serum glucose level, NIHSS score, ASPECT score and presence of hyperdense artery sign which are related to ENI, and the determination of treatment strategies according to them are important issues for achieving a better outcome in acute ischemic stroke.

Prediabetes and Cardiovascular Disease: Pathophysiology and Interventions for Prevention and Risk Reduction

Prediabetes is a state characterized by impaired fasting glucose or impaired glucose tolerance. This review discusses the pathophysiology and macrovascular complications of prediabetes. The pathophysiologic defects underlying prediabetes include insulin resistance, alpha- and beta-cell dysfunction, increased lipolysis, inflammation, and suboptimal incretin effect. Recent studies have revealed that the long-term complications of diabetes manifest in some people with prediabetes; these complications include microvascular and macrovascular disorders. Finally, we present an overview of randomized control trials aimed at preventing progression from prediabetes to type 2 diabetes and discuss their implications for macrovascular risk reduction.

Early neurological deterioration during the acute phase as a predictor of long-term outcome after first-ever ischemic stroke

Early neurological deterioration (END) is associated with increased risk of functional disability and mortality. However, data are limited regarding the long-term risk of poor functional outcomes. Thus we explored the association between END and long-term outcomes in patients with acute ischemic stroke.A total of 1064 patients were enrolled with acute ischemic stroke who were consecutively admitted to the 3 stroke units of Huai-He Hospital, Kaifeng, China. END was defined as an increment change of at least one point in motor power or total National Institute of Health Stroke Scale (NIHSS) score deterioration ≥2 points within the first week after admission. We retrospectively assessed the risk factors of END and prospectively explored the relationship between END and the long-term outcomes by multivariable regression models after adjusting the potential confounding factors. Outcomes were evaluated at 18 months based on modified Rankin scale (MRS) scores.Approximately 32% of first-ever ischemic stroke patients experienced END during the acute phase. END was associated with diabetes (odds ratio [OR], 2.218; 95% confidence interval [CI] 1.619-3.037), NIHSS score at admission (OR, 1.052; 95% CI 1.023-1.082), C-reactive protein (CRP) levels (OR, 1.224; 95% CI 1.066-1.406]), and homocysteine (HCY) levels (OR, 1.203; 95% CI 1.061-1.365) after adjusting related factors, such as hypertension, diabetes, NIHSS at admission, and some blood laboratory values, including direct bilirubin, total cholesterol, low-density lipoprotein, glucose, CRP, HCY, and D-dimer levels. During the follow-up period, 52 (4.9%) patients died, 160 (15.0%) recrudesced, and 317 (29.8%) suffered poor outcomes. Multivariate logistic regression analyses revealed that poor outcome was associated with END (OR, 3.366; 95% CI 2.495-4.542), age (OR, 1.028; 95% CI 1.015-1.041), body mass index (OR, 1.096; 95% CI 1.051-1.144), coronary heart disease (OR, 1.637; 95% CI 1.108-2.416), and CRP (OR, 2.474; 95% CI 1.840-3.326).The risk factors of END are multifaceted. Diabetes, NIHSS score at admission, CRP, and HCY are independent predictors of END. In addition, the results of this study indicate that END is an important predictor of poor functional outcome.

Prediabetes Is Associated with Unfavorable Outcome in Young Adult Patients with Ischemic Stroke

BACKGROUND

Prediabetes has been associated with unfavorable short-term outcome in patients with ischemic stroke (IS). However, its effect in the subset of young adult patients has not been fully assessed. Our aim was to study the association between prediabetes and 3-month outcome in young adult patients with IS.

METHODS

This is a retrospective analysis of consecutive patients aged 18-55 years with a clinical diagnosis of acute IS between January 2010 and December 2016. According to their glucose profile, patients were divided in 3 groups: normal glucose metabolism, prediabetes, and diabetes. The outcome at 3 months was assessed by the modified Rankin Scale (mRS) and dichotomized as good (mRS score ≤2) and poor (mRS score >2) outcomes.

RESULTS

A total of 247 patients were included, the median age was 49 years (interquartile range 42-53), and 144 (58.3%) were men. Prediabetes was diagnosed in 79 patients (32.0%) and diabetes was diagnosed in 45 patients (18.2%). Prediabetic (adjusted odds ratio [OR] 2.4, 95% confidence interval [CI] 1.1-5.1, P = .031) and diabetic (adjusted OR 2.8, 95% CI 1.3-6.1, P = .020) patients had a worse prognosis at 3 months. A statistical significant shift in the distribution of the mRS score at 3 months was found in prediabetic (adjusted OR 2.5, 95% CI .3-1.5, P = .002) and diabetic (adjusted OR 3.74, 95% CI .5-2.2, P = .002) patients.

CONCLUSION

In young adults with IS, prediabetes and diabetes increase the risk of unfavorable outcome at 3 months.

Lipid and hyperglycemia factors in first-ever penetrating artery infarction, a comparison between different subtypes

BACKGROUND

The pathogenesis and progression of branch atheromatous disease (BAD), which differs from lipohyalinotic degeneration (LD), remains controversial. Few studies have investigated the lipid indices and glycometabolism status factors for BAD in first-ever penetrating artery infarction (PAI).

METHODS

We retrospectively examined acute stroke patients with PAI admitted within 3 days after stroke. All patients underwent diffusion weight magnetic resonance imaging (DWI) and magnetic resonance angiography (MRA) and/or computed tomography angiography (CTA). Progression was defined as an increase by 2 point or higher in the National Institutes of Health Stroke Scale score. The characteristics, clinical data were statistically analyzed.

RESULTS

BAD and LD were diagnosed in 142 (57%) and 107 (43%) patients, respectively. Patients with BAD had higher low-density lipoprotein cholesterol (LDL-C) compared with those with LD (p = .013). Elevated LDL-C was related to early neurological deterioration in patients with BAD (p = .045). The percentage of lenticulostriate arterial (LSA) infarction was greater than that of the pontine penetrating arterial (PPA) infarction in acute PAI (75.1% vs. 24.9%; p < .001). PPA infarction was more prevalent in the BAD group compared with the LD group (34.5% vs. 12.1%, p < .001). The PPA infarction had older age at onset and higher HbA1c concentrations than those with the LSA infarction (p = .014, p = .036 respectively) in the BAD and LD patients, respectively.

CONCLUSION

LDL-C may be associated with both the pathogenesis and progression of intracranial BAD. The LSA infarction was the most frequently subtypes in PAI. Age at onset and HbA1c seem to be closely associated with the PPA infarction of first-ever PAI.

Vascular Complications of Diabetes

Over the last several decades, the global incidence and prevalence of diabetes mellitus has increased significantly. The raised incidence rate is projected to continue as greater numbers of persons adopt a Western lifestyle and diet. Patients with diabetes mellitus are at heightened risk of both adverse microvascular and cardiovascular events. Moreover, once cardiovascular disease develops, diabetes mellitus exacerbates progression and worsens outcomes. The medical management of patients with diabetes mellitus mandates comprehensive risk factor modification and antiplatelet therapy. Recent clinical trials of new medical therapies continue to inform the care of patients with diabetes mellitus to reduce both cardiovascular morbidity and mortality.

Role of prediabetes in stroke

Stroke is one of the leading causes of death and probably the greatest cause of adult disability worldwide. Diabetes mellitus (DM) is a state of accelerated aging of blood vessels. Patients with diabetes have increased risk of stroke. Hyperglycemia represents a risk factor for poor outcome following stroke, and probably is just a marker of poor outcome rather than a cause. Lowering of blood glucose levels has not been shown to improve prognosis. Also, prevention of stroke risk among patients with DM is not improved with therapy for reduction of glucose levels. On the other hand, prediabetes, a metabolic state between normal glucose metabolism and diabetes, is a risk factor for the development of DM type 2 and subsequently for stroke. Several methods are known to identify prediabetes patients, including fasting plasma glucose levels, 2-hour post load glucose levels, and glycosylated hemoglobin levels. In this text, we tried to summarize known data about diagnosis, epidemiology, risk factors, pathophysiology, and prevention of prediabetes in relation to DM and stroke.

Glucose in prediabetic and diabetic range and outcome after stroke

OBJECTIVES

Newly diagnosed disturbed glucose metabolism is highly prevalent in patients with stroke. Limited data are available on their prognostic value on outcome after stroke. We aimed to assess the association of glucose in the prediabetic and diabetic range with unfavourable short-term outcome after stroke.

MATERIALS AND METHODS

We included 839 consecutive patients with ischemic stroke and 168 patients with intracerebral haemorrhage. In all nondiabetic patients, fasting glucose levels were determined on day 2-4. Prediabetic range was defined as fasting glucose of 5.6-6.9 mmol/L, diabetic range as ≥7.0 mmol/L, pre-existent diabetes as the use of anti-diabetic medication prior to admission. Outcome measures were poor functional outcome or death defined as modified Rankin Scale (mRS) score >2 and discharge not to home. The association of prediabetic range, diabetic range and pre-existent diabetes (versus normal glucose) with unfavourable outcome was expressed as odds ratios, estimated with multiple logistic regression, with adjustment for prognostic factors.

RESULTS

Compared with normal glucose, prediabetic range (aOR 1.8; 95%CI 1.1-2.8), diabetic range (aOR 2.5; 95%CI 1.3-4.9) and pre-existent diabetes (aOR 2.6; 95%CI 1.6-4.0) were associated with poor functional outcome or death. Patients in the prediabetic range (aOR 0.6; 95%CI 0.4-0.9), diabetic range (aOR 0.4; 95%CI 0.2-0.9) and pre-existent diabetes (aOR 0.6; 95%CI 0.4-0.9) were more likely not to be discharged to home.

CONCLUSIONS

Patients with glucose in the prediabetic and diabetic range have an increased risk of unfavourable short-term outcome after stroke. These findings illustrate the potential impact of early detection and treatment of these patients.

The Association between Impaired Glucose Regulation and Prognosis of Chinese Patients with Intracerebral Hemorrhage

This study aimed at observing the influence of impaired glucose regulation (IGR) on 1-year outcomes in patients with intracerebral hemorrhage (ICH). Patients hospitalized for ICH from 2008 to 2009 were recruited consecutively at 35 centres across China. A standard oral glucose tolerance test at day 14 ± 3 after stroke onset or before discharge was performed to identify IGR. The outcomes were death (modified Rankin scale [mRS] score of 6), dependency (mRS score of 2 to 5) and poor outcome (mRS score of 2 to 6) at 1 year. Cox proportion hazard model for death and logistic regression model for dependency and poor outcome were performed to investigate the influence of IGR on 1-year outcomes. A total of 288 non-diabetic ICH patients were included in this analysis, among which 150 (52.1%) were IGR. IGR was associated with 1-year dependency (adjusted odds ratio [OR] 2.18, 95% confidence interval [CI], 1.19–3.99; P = 0.01) and poor outcome (adjusted OR 2.17; 95% CI, 1.24–3.80; P = 0.007) of patients with ICH. However, IGR showed no significant association with 1-year death (adjusted hazard ratio 1.49, 95% CI, 0.60–3.67; P = 0.39). IGR was independently associated with 1-year poor outcome of ICH in Chinese patients, with more important influence on dependency than death.

Increased admission and fasting glucose are associated with unfavorable short-term outcome after intra-arterial treatment of ischemic stroke in the MR CLEAN pretrial cohort

BACKGROUND

Limited data are available on the impact of fasting glucose on outcome after intra-arterial treatment (IAT). We studied whether hyperglycemia on admission and impaired fasting glucose (IFG) are associated with unfavorable outcome after IAT in acute ischemic stroke.

METHODS

Patients were derived from the pretrial registry of the MR CLEAN-trial. Hyperglycemia on admission was defined as glucose>7.8mmol/L, IFG as fasting glucose>5.5mmol/L in the first week of admission. Primary effect measure was the adjusted common odds ratio (acOR) for a shift in the direction of worse outcome on the modified Rankin Scale at discharge, estimated with ordinal logistic regression, adjusted for common prognostic factors.

RESULTS

Of the 335 patients in which glucose on admission was available, 86 (26%) were hyperglycemic, 148 of the 240 patients with available fasting glucose levels (62%) had IFG. Median admission glucose was 6.8mmol/L (IQR 6-8). Increased admission glucose (acOR 1.2, 95%CI 1.1-1.3), hyperglycemia on admission (acOR 2.6, 95%CI 1.5-4.6) and IFG (acOR 2.8, 95%CI 1.4-5.6) were associated with worse functional outcome at discharge.

CONCLUSION

Increased glucose on admission and IFG in the first week after stroke onset are associated with unfavorable short-term outcome after IAT of acute ischemic stroke.

Mortality, Recurrence, and Dependency Rates Are Higher after Acute Ischemic Stroke in Elderly Patients with Diabetes Compared to Younger Patients

Stroke has a greater effect on the elderly than on younger patients. However, the long-term outcomes associated with stroke among elderly patients with diabetes are unknown. We aimed to assess the differences in long-term outcomes between young and elderly stroke patients with diabetes. A total of 3,615 acute ischemic stroke patients with diabetes were recruited for this study between 2006 and 2014. Outcomes at 12 and 36 months after stroke (including mortality, recurrence, and dependency) were compared between younger (age <75 years) and elderly (age ≥75 years) patients. The elderly group included 692 patients (19.1%) overall. Elderly patients were more likely than younger patients to have a Trial of Org 10172 in Acute Stroke Treatment classification of stroke due to cardioembolism, moderate and severe stroke, and atrial fibrillation, but less likely to have hypertension and dyslipidemia, current smokers, and alcohol consumers. Mortality, dependency, and recurrence rates at 12 months after stroke were 19.0, 48.5, and 20.9% in the elderly group and 7.4, 30.9, and 15.4% in the younger group, respectively (all P < 0.05). Corresponding rates at 36 months after stroke were 35.4, 78.7, and 53.8% in the elderly group and 13.7, 61.7, and 43.0% in the younger group, respectively (all P < 0.001). The mortality, dependency, and recurrence rates at 12 and 36 months after stroke were significantly higher in the elderly group than in the younger group after adjusting for stroke subtypes, stroke severity, and risk factors. Odds ratios (95% confidence interval) at 12 and 36 months after stroke were 2.18 (1.64-2.89) and 3.10 (2.35-4.08), respectively, for mortality, all P < 0.001; 1.81 (1.49-2.20) and 2.04 (1.57-2.34), respectively, for dependency, all P < 0.001; and 1.37 (1.06-1.76) and 1.40 (1.07-1.85), respectively, for recurrence, P = 0.016. The findings from this study suggest that management and secondary prevention should be emphasized in elderly patients with diabetes in China to reduce mortality, recurrence, and dependency after stroke.

The Influence of Acute Hyperglycemia in an Animal Model of Lacunar Stroke That Is Induced by Artificial Particle Embolization

Animal and clinical studies have revealed that hyperglycemia during ischemic stroke increases the stroke's severity and the infarct size in clinical and animal studies. However, no conclusive evidence demonstrates that acute hyperglycemia worsens post-stroke outcomes and increases infarct size in lacunar stroke. In this study, we developed a rat model of lacunar stroke that was induced via the injection of artificial embolic particles during full consciousness. We then used this model to compare the acute influence of hyperglycemia in lacunar stroke and diffuse infarction, by evaluating neurologic behavior and the rate, size, and location of the infarction. The time course of the neurologic deficits was clearly recorded from immediately after induction to 24 h post-stroke in both types of stroke. We found that acute hyperglycemia aggravated the neurologic deficit in diffuse infarction at 24 h after stroke, and also aggravated the cerebral infarct. Furthermore, the infarct volumes of the basal ganglion, thalamus, hippocampus, and cerebellum but not the cortex were positively correlated with serum glucose levels. In contrast, acute hyperglycemia reduced the infarct volume and neurologic symptoms in lacunar stroke within 4 min after stroke induction, and this effect persisted for up to 24 h post-stroke. In conclusion, acute hyperglycemia aggravated the neurologic outcomes in diffuse infarction, although it significantly reduced the size of the cerebral infarct and improved the neurologic deficits in lacunar stroke.

Sex differences in long-term outcomes among acute ischemic stroke patients with diabetes in China

BACKGROUND

Diabetes has been shown to be significantly associated with poor outcome after stroke. However, the sex differences in stroke outcome among patients with diabetes are unknown. Therefore, we aimed to assess the sex differences in long-term prognosis among acute ischemic stroke patients with diabetes.

METHODS

The ischemic stroke patients with diabetes were recruited to this study between May 2005 and September 2014 in Tianjin, China. Sex differences in mortality, dependency (modified rank scale > 2), and recurrence at 3, 12, and 36 months after stroke were analyzed.

RESULTS

A total of 2360 patients were recruited in this study. The age of stroke onset, National Institute of Health stroke scale (NIHSS), and modified rank scale (mRS) on admission were greater in women than in men (P < 0.05). Women were more likely to have hypertension, obesity, atrial fibrillation, and dyslipidemias. In contrast, men were more likely to have artery stenosis, current smoking, and alcohol consumption (P < 0.001). There was higher mortality in women than in men at 3 months (7.9 % vs 5.2 %), 12 months (12.2 % vs 8.2 %), and 36 months (21.9 % vs 16.1 %) after stroke; but no differences were found in dependency and recurrence. Sex differences were found in associated factors of outcomes by time-point. Trial of Org 10172 in Acute Stroke Treatment (TOAST) of large artery atherothrombosis (LAA), cardioembolism (CE), and smoking were risk factors of outcomes in women at short term and medium term; but atrial fibrillation (AF), obesity, and alcohol were risk factors of outcomes in men at medium term and long term.

CONCLUSIONS

These findings suggest that it is crucial to establish the individual scheme of therapy for every patient by different risk factors of stroke, strengthen the rehabilitation of stroke, and carry on the health education early for the secondary prevention of stroke in patients with diabetes mellitus (DM).

Impact of Diabetes on Stroke Risk and Outcomes: Two Nationwide Retrospective Cohort Studies

Several limitations existed in previous studies which suggested that diabetic patients have increased risk of stroke. We conducted this study to better understand the stroke risk and poststroke outcomes in patients with diabetes.From the claims data of Taiwan's National Health Insurance, we identified 24,027 adults with new-diagnosed diabetes and 96,108 adults without diabetes between 2000 and 2003 in a retrospective cohort study. Stroke events (included hemorrhage, ischemia, and other type of stroke) during the follow-up period of 2000 to 2008 were ascertained and adjusted risk of stroke associated with diabetes was calculated. A nested cohort study of 221,254 hospitalized stroke patients (included hemorrhage, ischemia, and other type of stroke) between 2000 and 2009 was conducted. Adjusted odds ratios (ORs) and 95% confidence intervals (CIs) were calculated for adverse events after stroke hospitalization in patients with and without diabetes.The incidences of stroke in cohorts with and without diabetes were 10.1 and 4.5 per 1000 person-years, respectively. During the follow-up period, diabetic patients had an increased risk of stroke (adjusted hazard ratio: 1.75; 95% CI: 1.64-1.86) than those without diabetes. Associations between diabetes and stroke risk were significant in both sexes and all age groups. Previous diabetes was associated with poststroke mortality (OR: 1.33; 95% CI: 1.19-1.49), pneumonia (OR: 1.30; 95% CI: 1.20-1.42), and urinary tract infection (OR: 1.66; 95% CI: 1.55-1.77). The impact of diabetes on adverse events after stroke was investigated particularly in those with diabetes-related complications.Diabetes was associated with stroke risk, and diabetic patients had more adverse events and subsequent mortality after stroke.