BackgroundWe aimed to determine the risk conferred by metabolic syndrome (METS) and diabetes mellitus (DM) to recurrent stroke in patients with minor ischemic stroke or transient ischemic attack from the CHANCE (Clopidogrel in High‐risk patients with Acute Non‐disabling Cerebrovascular Events) trial.Methods and ResultsIn total, 3044 patients were included. Patients were stratified into 4 groups: neither, METS only, DM only, or both. METS was defined using the Chinese Diabetes Society (CDS) and International Diabetes Foundation (IDF) definitions. The primary outcome was new stroke (including ischemic and hemorrhagic) at 90 days. A multivariable Cox regression model was used to assess the relationship of METS and DM status to the risk of recurrent stroke adjusted for potential covariates. Using the CDS criteria of METS, 53.2%, 17.2%, 19.8%, and 9.8% of patients were diagnosed as neither, METS only, DM only, and both, respectively. After 90 days of follow‐up, there were 299 new strokes (293 ischemic, 6 hemorrhagic). Patients with DM only (16.1% versus 6.8%; adjusted hazard ratio 2.50, 95% CI 1.89–3.39) and both (17.1% versus 6.8%; adjusted hazard ratio 2.76, 95% CI 1.98–3.86) had significantly increased rates of recurrent stroke. No interaction effect of antiplatelet therapy by different METS or DM status for the risk of recurrent stroke (P=0.82 for interaction in the fully adjusted model of CDS) was observed. Using the METS (IDF) criteria demonstrated similar results.ConclusionsConcurrent METS and DM was associated with an increased risk of recurrent stroke in patients with minor stroke and transient ischemic attack.

Background and Purpose— The role of dual-antiplatelet therapy with clopidogrel plus aspirin has been demonstrated to substantially decrease the risk of recurrent stroke among patients with minor stroke and transient ischemic attack. We aimed to determine whether the efficacy of clopidogrel-aspirin therapy among patients with minor stroke / transient ischemic attack was influenced by the stratification of CYP2C19 genotype and body mass index (BMI). Methods— CYP2C19 loss-of-function allele (LoFA) carriers were defined as patients with either LoFA of *2 or *3. Low/normal weight and overweight/obesity was defined as BMI <25 and ≥25 kg/m 2 , respectively. Primary outcome was defined as stroke recurrence at 3 months. Results— In a total of 2933 patients, there were 1726 (58.8%) LoFA carriers and 1275 (43.5%) patients with overweight/obesity (BMI ≥25 kg/m 2 ). Stratified analyses by LoFA carrying status and BMI, hazard ratios (hazard ratios 95% CIs) of the clopidogrel-aspirin therapy for stroke recurrence were 0.90 (0.60–1.36), 0.87 (0.56–1.35), 0.65 (0.39–1.09), and 0.40 (0.22–0.71) among subgroups of LoFA carriers with overweight/obesity, LoFA carriers with low/normal weight, LoFA noncarriers with overweight/obesity, and LoFA noncarriers with low/normal weight, respectively, with P =0.049 for interaction. Conclusions— Efficacy of clopidogrel-aspirin therapy in reducing the risk of stroke recurrence is not present in CYP2C19 LoFA noncarriers with overweight/obesity. Our study suggests that BMI significantly influences the correlation between CYP2C19 genotype and efficacy of clopidogrel-aspirin therapy. Clinical Trial Registration— URL: https://www.clinicaltrials.gov . Unique identifier: NCT00979589.

BackgroundStroke is one of the leading causes of death and disability in China. Current treatments for stroke are limited and achieve no optimal effect. Acupuncture is widely used in the treatment of stroke and in improving the quality of life for patients in China. In most previous clinical studies, the effects of acupuncture have been diverse, and few well-designed randomized controlled trials have been conducted to investigate the long-term effect of acupuncture on acute stroke recovery.MethodThree hundred and twenty eight subjects with acute cerebral apoplexy will be recruited. The patients will be randomized into two different groups: the intervention group will receive acupuncture treatment together with Western standard treatment for 2 weeks plus the secondary prevention treatment for 22 weeks; the control group will receive only the Western standard treatment for 2 weeks and the secondary prevention treatment for 22 weeks. The primary outcome measures are Barthel Index and the Stroke-Specific Quality Of Life. The secondary outcome measures are the National Institutes of Health Stroke Scale and Modified Rankin Scale. All assessments will be conducted at the baseline and at weeks 4, 12 and 24 of follow-up.DiscussionThis study will evaluate the effects of acupuncture on the long-term recovery of acute stroke and on improving the quality of life of the patients. The results of this study will help establish optimal integrated therapeutic strategies for patients with stroke.Trial registrationCurrent Controlled Trials ISRCTN29932220

The irreversibility in time, the multicausality on lines, and the uncertainty of feedbacks make economic systems and the predictions of economic chaotic time series possess the characteristics of high dimensionalities, multiconstraints, and complex nonlinearities. Based on genetic algorithm and fuzzy rules, the chaotic genetics combined with fuzzy decision-making can use simple, fast, and flexible means to complete the goals of automation and intelligence that are difficult to traditional predicting algorithms. Moreover, the new combined method’s ergodicity can perform nonrepetitive searches in a global scope, hence improving the algorithm’s accuracy and efficiency. On the basis of summarizing and analyzing previous research works, this paper expounded the research status and significance of the prediction of economic chaotic time series, elaborated the development background, current status, and future challenges of the combined algorithm of chaotic genetics with fuzzy decision, introduced the basic principles of chaotic genetic algorithm and fuzzy decision algorithm, constructed a prediction model for economic chaotic time series, performed parameter synchronization optimization and moderate function construction, analyzed the prediction processes of economic chaotic time series, conducted phase space reconstruction and correlation dimension calculation, and finally carried out a simulation experiment with its result analysis. The study results show that the algorithm of chaotic genetics combined with fuzzy decision-making can dynamically adjust chaotic mutation operators and summarize fussy expert experiences. The phase space of its reconstructed chaotic attractor has high-precision predictability and can find orderly processes from changeable economic results, which in turn can be used to analyze and predict the complex economic chaotic time series. The study results of this paper provide a reference for further research on predictive analysis of economic chaotic time series based on chaotic genetics combined with fuzzy decision algorithm.