Observation of elevated fasting blood glucose and functional outcome after ischemic stroke in patients with and without diabetes

Increased Two-Hour Post-Load Plasma Glucose Fluctuation Corresponds with Worse Clinical Prognoses among Acute Ischemic Stroke Patients without a History of Diabetes Mellitus

INTRODUCTION

This study aimed to evaluate the relationship between 2-h post-load minus fasting plasma glucose (2hPG-FPG) and 1-year clinical outcomes, such as death, stroke recurrence, and modified Rankin Scale (mRS) ≥2-3 among acute ischemic stroke (AIS) patients without diabetes mellitus (DM) history.

METHODS

1,214 AIS patients without DM history, obtained from ACROSS-China, were divided into 4 quartiles, based on 2hPG-FPG measurements obtained 14 days post-admission. Four models were constructed using multivariate Cox and logistic regression analyses, based on the inclusion of age, gender, trial of ORG 10172 in acute stroke treatment, NIH Stroke Scale scores (model 1), plus 10 other clinical parameters (model 2), plus newly diagnosed DM (NDDM) post-admission (model 3), plus 2hPG and FPG (model 4). Associations found from those 4 models between 2hPG-FPG and 1-year clinical outcomes were confirmed via stratification, multiplicative interaction, sensitivity, and restricted cubic spline analyses.

RESULTS

The highest quartile of 2hPG-FPG, after adjusting for variables, such as stroke severity (model 2), was independently associated with death, stroke recurrence, and mRS ≥2-3 (odds ratio [OR] = 3.95, 2.96, 4.15, and 4.83, respectively, all p < 0.0001). Increased 2hPG-FPG remained independently associated with mRS ≥2-3 in models 3-4, as well as increased mRS ≥2 under stratification analyses among both non-NDDM and NDDM patients.

CONCLUSION

2hPG-FPG is a relatively specific indicator of poorer 1-year clinical prognoses among AIS patients, independent of NDDM, 2hPG, and FPG post-hospital admission. Therefore, the oral glucose tolerance test could be a useful approach for detecting a higher likelihood for developing poorer prognoses among patients without DM history.

Fibrinogen as a Predictor of Early Neurological Deterioration in Acute Ischemic Stroke - Evidence From the Indian Population

Background

Early neurological deterioration (END) is a common occurrence in ischemic stroke and contributes significantly to poor outcomes. Although multiple factors that predict END have already been identified, the role of fibrinogen - a key component of the coagulation pathway, is controversial.

Objective

To assess the role of fibrinogen in predicting END and poor hospital outcome in patients with acute ischemic stroke.

Design

Single-centre prospective observational study.

Methods

141 patients with acute ischemic stroke were analyzed in this prospective observational study from a single tertiary-care hospital in East India. END was defined as a worsening of ≥2 points on the National Institutes of Health Stroke Scale (NIHSS) within 7 days of admission. A score of 3-5 on the Modified Rankin Scale (mRS), a stroke recurrence event or death during hospital stay was considered poor hospital outcome. We performed univariate analysis using age, sex, body-mass index (BMI), hypertension, diabetes, NIHSS scores, stroke etiology, blood glucose and lipid parameters and plasma fibrinogen to develop a logistic regression model to establish the independent predictors of END and poor outcome.

Results

Age (Odds Ratio (OR) 1.034 [95% CI 1.001-1.069], P = .046), NIHSS score at admission (OR 1.152 [95% CI 1.070-1.240], P < .001) and fibrinogen (OR 1.011 [95%CI 1.006-1.015], P < .001) were independent predictors of END in patients with acute ischemic stroke. Factors independently associated with poor outcome were NIHSS score at admission (OR 1.257 [95% CI 1.150-1.357], P < .001), fasting plasma glucose (OR 1.007 [95% CI 1.001-1.013], P = .020), and fibrinogen [OR 1.004 [95% CI 1.000-1.007], P = .038).

Conclusion

The significant role of fibrinogen in determining neurological worsening and subsequent poor outcomes in patients with acute ischemic stroke may help in early prognostication and guided therapeutic interventions.

Correlation between HbA1C and Infarct Volume in Acute Ischemic Stroke

BACKGROUND: Stroke is second leading cause of death worldwide. Chronic hyperglycemia can promote neuronal toxicity. The previous study shows that acute hyperglycemia is correlated with infarct volume of ischemic stroke. AIM: This study aims to investigate the correlation between hemoglobin A1C (HbA1C) and infarct volume on acute ischemic stroke. METHODS: This is a cross-sectional study in acute ischemic stroke patient in Dr. Moewardi General Hospital, Surakarta, Indonesia. Data of infarct volume were collected from head computed tomography (CT)-scan and calculated with A × B × C/2 formula. We also collected lipid and patients’ glycemic profile from patients’ blood laboratory result. Head CT-scan and laboratory data of participants analyzed with Pearson and Spearman’s rho test for parametric and non-parametric data, respectively. We also performed multivariate analysis to evaluate confounding covariates. p < 0.05 was considered as statistically significant. RESULTS: A total of 38 participants were included in this study, with mean infarct volume was 0.46 ± 0.64cc and mean HbA1C was 6.96 ± 2.69%. Bivariate analysis shows strong positive correlation between infarct volume and HbA1C with r = 0.898 (p < 0.001). Other variable that showed a significant correlation with infarct volume were diabetes mellitus history (r = 0.671; p < 0.001), random blood su gar (r = 0.466; p = 0.003), fasting blood sugar (r = 0.636; p < 0.001), 2-h postprandial glucose level (r = 0.646; p ≤ 0.001), high density lipoprotein (r = −0.354; p = 0.029), and triglyceride (r = 0.429; p = 0.007). Based on multivariate analysis, HbA1C regression coefficient on infarct volume was B = 0.222 (p < 0.001), indicating that HbA1C as one of the variables contributing to volume of infarct. CONCLUSIONS: There is a strong positive correlation between infarct volume and HbA1C, and HbA1C is variable contribute to the volume of infarct.

Inconsistent Classification of Mild Stroke and Implications on Health Services Delivery

OBJECTIVE

To conduct a scoping review on classifications of mild stroke based on stroke severity assessments and/or clinical signs and symptoms reported in the literature.

DATA SOURCES

Electronic searches of PubMed, PsycINFO (Ovid), and Cumulative Index to Nursing and Allied Health (CINAHL-EBSCO) databases included keyword combinations of mild stroke, minor stroke, mini stroke, mild cerebrovascular, minor cerebrovascular, transient ischemic attack, or TIA.

STUDY SELECTION

Inclusion criteria were limited to articles published between January 2003 and February 2018. Inclusion criteria included studies (1) with a definition of either mild or minor stroke, (2) written in English, and (3) with participants aged 18 years and older. Animal studies, reviews, dissertations, blogs, editorials, commentaries, case reports, newsletters, drug trials, and presentation abstracts were excluded.

DATA EXTRACTION

Five reviewers independently screened titles and abstracts for inclusion and exclusion criteria. Two reviewers independently screened each full-text article for eligibility. The 5 reviewers checked the quality of the included full-text articles for accuracy. Data were extracted by 2 reviewers and verified by a third reviewer.

DATA SYNTHESIS

Sixty-two studies were included in the final review. Ten unique definitions of mild stroke using stroke severity assessments were discovered, and 10 different cutoff points were used. The National Institutes of Health Stroke Scale was the most widely used measure to classify stroke severity. Synthesis also revealed variations in classification of mild stroke across publication years, time since stroke, settings, and medical factors including imaging, medical indicators, and clinical signs and symptoms.

CONCLUSIONS

Inconsistencies in the classification of mild stroke are evident with varying use of stroke severity assessments, measurement cutoff scores, imaging tools, and clinical or functional outcomes. Continued work is necessary to develop a consensus definition of mild stroke, which directly affects treatment receipt, referral for services, and health service delivery.

Association between fasting blood glucose and outcomes and mortality in acute ischaemic stroke patients with diabetes mellitus: a retrospective observational study in Wuhan, China

OBJECTIVE

To evaluate the predictive value of fasting blood glucose (FBG) on unfavourable outcomes and mortality in diabetes mellitus (DM) patients after acute ischaemic stroke (AIS).

STUDY DESIGN

A hospital-based observational cohort study was conducted. Clinical data, including sex, age, body mass index, vascular risk factors and systolic/diastolic blood pressure, were routinely collected. National Institutes of Health Stroke Scale score was used to assess stroke severity on admission. FBG was determined on the first day after fasting for at least 8 hours. The modified Rankin Scale was used to assess functional outcome at 90 days: 3-6, unfavourable outcome and 6, death.

SETTING

Renmin Hospital of Wuhan University, Wuhan, China.

PARTICIPANTS

Patients who had AIS with DM, who were consecutively admitted within 24 hours of onset from January 2018 to June 2019.

RESULTS

For the 568 patients, the median age was 65 years (IQR, 55-74 years). There were 377 (66.4%) men. The median FBG values were 7.37 mmol/L (IQR, 5.99-10.10 mmol/L), and the median glycated haemoglobin (HbA1c) values were 6.6 (IQR, 5.8-8.3). Multivariable logistic and Cox regression analysis of confounding factors showed that FBG at the time of admission was an independent predictor of unfavourable outcome (OR, 1.25 (1.14-1.37); p<0.0001) and mortality (HR, 1.10 (1.03-1.15); p<0.05) at 90 days after onset. Time to death was analysed by Kaplan-Meier curves based on FBG quartiles. The risk of death in the two highest quartile groups (FBG, 7.38-10.10 mmol/L; FBG, ≥10.11 mmol/L) was significantly higher than that in the two lowest quartile groups (FBG, ≤6.00 mmol/L; FBG, 6.01-7.37 mmol/L; p<0.0001).

CONCLUSIONS

Higher FBG levels are associated with unfavourable outcomes and mortality in Chinese patients who had AIS with DM. Our data contribute to the knowledge regarding the relationship between FBG and prognosis in patients with DM who had AIS.

Development and validation of a new score for predicting functional outcome of neurocritically ill patients: The INCNS score

Aims

To develop and validate a novel score for prediction of 3‐month functional outcome in neurocritically ill patients.

Methods

The development of the novel score was based on two widely used scores for general critical illnesses (Acute Physiology and Chronic Health Evaluation II, APACHE II; Simplified Acute Physiology Score II, SAPS II) and consideration of the characteristics of neurocritical illness. Data from consecutive patients admitted to neurological ICU (N‐ICU) between January 2013 and June 2016 were used for the validation. The modified Rankin Scale (mRS) was used to evaluate 3‐month functional outcomes. APACHE II scores, SAPS II scores, and our novel scores at 24 hours and 72 hours in N‐ICU were obtained. We compared the prognostic performance of our score with APACHE II and SAPS II.

Results

We developed a 44‐point scoring system named the INCNS score, and it includes 19 items which were categorized into five parts: inflammation (I), nutrition (N), consciousness (C), neurological function (N), and systemic function (S). We validated the INCNS score with a cohort of 941 N‐ICU patients. The 72‐hours INCNS score achieved an area under the receiver operating characteristic curve (AUC) of 0.828 (95% CI: 0.802‐0.854), and the 24‐hours INCNS score achieved an AUC of 0.788 (95% CI: 0.759‐0.817). The INCNS score exhibited significantly better discriminative and prognostic performance than APACHE II and SAPS II at both 24 hours and 72 hours in N‐ICU.

Conclusion

We developed an INCNS score with superior predictive power for functional outcome of neurocritically ill patients.