A 6-Point TACS Score Predicts In-Hospital Mortality Following Total Anterior Circulation Stroke

Glucose Fluctuations in Acute Ischemic Stroke

INTRODUCTION

The Oxfordshire Community Stroke Project denotes four subtypes of ischemic stroke (total and partial anterior infarct, posterior, and lacunar). Hyperglycemia has been associated with a larger infarct size and poor prognosis.

AIM

The purpose of the study was to investigate the correlation of glucose fluctuations with the Oxford sub-categories and patient outcomes using a blinded continuous glucose monitoring system.

METHODS

This is a non-interventional prospective observational study. Stroke patients with symptoms onset in the last 24h, participated in the study. A glucose sensor was placed for 72 hours. Disability was assessed using the modified Rankin Scale. Stroke subtypes were compared with total mean glucose and time in range using ANOVA analysis. Multiple ordinal logistic regression was employed to analyze outcomes and survival.

RESULTS

The sample consisted of 105 diabetic and non-diabetic patients. The overall mean glucose was 127.06 mg/dL and the time in range (70-140 mg/dL) was 70.98%. There was no significant difference between the stroke sub-categories and the total mean glucose. For every one-point increase in the time in range, we expect a 1.5% reduction in the odds of having a worse outcome. Patients with total anterior infarct are 2.31 times more likely to have a worse outcome than lacunar patients.

CONCLUSION

The utilization of the Oxford classification may not be necessary for managing acute ischemic stroke glucose levels. Achieving glucose regulation and an increase in time in range can be attained through meticulous control, potentially extending life expectancy. Continuous glucose monitors may aid in achieving this objective.

Factors Associated With In-Hospital Mortality in Very Elderly Patients With Ischemic Stroke: A Cohort Study

INTRODUCTION

The highest mortality rates associated with ischemic stroke occur in patients of advanced age. However, studies of factors that establish the increase in hospital mortality are scanty in this population.

MATERIAL AND METHODS

Epidemiologic, clinical and laboratory data, etiology and ischemic stroke subtype and complications during hospitalization were analyzed in 195 patients aged 80 years or older. In attempt to associate prognostic factor with the in-hospital mortality during first 28 days from admission, the death and survivor groups were compared.

RESULTS

Among the 195 patients evaluated, the age was 85.3 ± 4.6 years with a mortality of 26.1%. Following the multivariate model, the factors associated with in-hospital mortality were: age (OR = 1.07, 95% CI = 1.00-1.20), the score less than or equal to 8 on Glasgow coma scale (OR = 22.87, 95% CI = 3.55-148.76), diabetes mellitus (OR = 3.40, 95% CI = 1.30-8.87), total anterior clinical subtype (OR = 5.15, 95% CI = 1.82-14.52) and infectious complications (OR = 8.38, 95% CI = 3.28-21.43).

CONCLUSIONS

The following risk factors were associated with a higher in-hospital mortality rate in patients over 79 years of age with ischemic stroke: older age, Glasgow coma score less than or equal to 8, total anterior circulation infarction, infection, and diabetes mellitus.

Determinants of Length of Stay Following Total Anterior Circulatory Stroke

Identification of factors that determine length of stay (LOS) in total anterior circulatory stroke (TACS) has potential for targeted intervention to reduce the associated health care burden. This study aimed to determine which factors predict LOS following either ischaemic or haemorrhagic TACS. The study sample population was drawn from the Norfolk and Norwich Stroke and Transient Ischemic Attack (TIA) Register (1996–2012), a prospective registry. 2965 patients admitted with TACS verified by a stroke specialist team were included. Primary analysis identified predictors of length of stay (LOS) in either haemorrhagic or ischaemic TACS. Secondary analyses identified predictors of LOS in patients who were discharged alive or who died during admission separately. Moderate (p = 0.014) to severe disability (p = 0.015) and history of congestive heart failure (p = 0.027) in the primary analysis and pre-stroke residence in a care facility among patients who survived to discharge (p = 0.013) were associated with a shorter length of stay. Factors associated with increased length of stay included presence of neurological lateralisation in the primary analysis (p = 0.004) and amongst patients who died (p = 0.003 and p = 0.014 for ischaemic and haemorrhagic stroke, respectively). Patients with advanced age (≥85 years) with haemorrhagic stroke had longer LOS regardless of mortality outcome. Patients with low pre-morbid disability (modified Rankin score ≤2 who died following haemorrhagic TACS also had longer LOS. Our study found predictors of LOS following TACS include neurological lateralisation, pre-stroke disability status, congestive heart failure, pre-morbid residence and age. The identification of such factors would assist in resource allocation and discharge planning.