Inflammatory markers as independent predictors for stroke outcomes.

BACKGROUND: Inflammation plays an important role in the pathophysiology of stroke. The aim of the present study was to investigate the association between various inflammatory risk markers and ischemic stroke outcome and subtype. METHODS: A total of 3,013 ischemic stroke patients who were admitted to our hospital from 01/01/2016 to 12/30/2018 were retrospectively studied. Stroke subtypes were defined by the Trial of Org 10172 in Acute Stroke Treatment (TOAST) classification. Levels of five common inflammatory markers including white blood cell (WBC) count, neutrophil, lymphocyte, serum C-reactive protein (CRP), and interleukin-6 (IL-6) were measured, and eleven conventional risk factors were further evaluated in the prediction of overall mortality as well as three functional outcomes defined by the National Institute of Health Stroke Scale (NIHSS), the modified Rankin Scale (mRS), and the Barthel Index (BI). Independent predictors of outcome were identified by multivariate logistic regression, and an importance score measured by the area under the receiver operating characteristics curve for each predictor using a Naive Bayes model was reported. RESULTS: Neutrophil and WBC were significantly higher in large-artery atherosclerosis (LAA) and cardioembolism (CE) subtype. In contrast, lymphocyte was significantly higher in small-artery occlusion (SAO). Neutrophil-lymphocyte ratio and CRP level were the best independent predictors, after adjustment for traditional risk factors and TOAST subtype for all four types of outcomes. CONCLUSION: Inflammatory risk markers including neutrophil, lymphocyte, and CRP may have strong independent prediction values for stroke outcome.

Clinical characteristics and risk score for poor clinical outcome of acute ischemic stroke patients treated with intravenous thrombolysis therapy.

BACKGROUND: Tissue plasminogen activator (t-PA) is an effective therapy for acute ischemic stroke, but some patients still have poor clinical outcome. In this study, we investigated clinical characteristics of stroke patients and determined predictors for poor clinical outcome in response to t-PA treatment. METHODS: Clinical data from 247 patients were retrospectively reviewed. Clinical parameters that were associated with survival of patients were analyzed. Areas under receiver operating characteristic curves (ROC) were used to determine the feasibility of using various combinations of the clinical parameters to predict poor clinical response. The clinical outcome was defined according to the changes in Modified Rankin Scale. RESULTS: Overall, 145 patients had improved/complete recovery, 73 had no change, and 29 had worsening conditions or died during the in-clinic period. A univariate analysis showed that baseline characteristics including age, CRP, blood glucose level, systolic blood pressure, and admission NIHSS were significantly different (p < 0.05) among patients with different clinical outcome. A further multivariate analysis was then performed. Variables associated with poor clinical outcome (worsening/death) (p < 0.1) were included in the logistic regression model. Four parameters were retained in the model: Age, CRP, Blood glucose level, and Systolic blood pressure (ACBS). To allow a convenient usage of the ACBS classifier, the parameters were put into a scoring system, and the score at 7.7 was chosen as a cut-off. The ROC curve of this ACBS classifier has an area under the curve (AUC) of 0.7788, higher than other individual parameters. The ACBS classifier provided enhanced sensitivity of 69.2% and specificity of 74.3%. CONCLUSION: The ACBS classifier provided a satisfactory power in estimating the patients' clinical outcome. After further validating, the classifier may provide important information to clinicians for making clinical decisions.

Dementia among elderly in Shanghai suburb: a rural community survey.

The number of elderly in the world is increasing rapidly, especially in China. The prevalence of dementia among elderly was investigated in a community of Sheshan town, located in the Southwest suburb of Shanghai, China. Face-to-face interviews were conducted to collect relevant information with prepared questionnaires. The Chinese version of the Mini-Mental Status Examination was used to screen subjects with cognitive impairment (CI). Physical examinations and neuropsychological assessments were carried out. Dementia and its major subtypes, Alzheimer's disease (AD) and vascular dementia (VaD), were diagnosed by senior neurologists according to relevant diagnostic criteria. In addition, magnetic resonance imaging and EEG (with P300) were performed for a number of cases with AD or VaD. There were 1,472 participants (666 males and 806 females) aged 60 years and over in the study. A total of 167 subjects with CI were screened. Among them, dementia was recognized in 79 cases with a prevalence of 5.37% (95% confidence intervals: 4.22%-6.52%). The diagnosis of AD was made for 53 cases (16 males and 37 females) with a prevalence of 3.60% (95% confidence intervals: 2.65%-4.55%), and VaD for 21 cases (5 males and 16 females) with a prevalence of 1.43% (95% confidence intervals: 0.82%-2.03%); while the ratio of AD to VaD was 2.52. The prevalence rates of dementia among elderly from our study are higher than that previously reported from China, but in line with that reported from most world regions. A nationwide survey and surveillance system on the prevalence of dementia is recommended.