Objective To study the effect of blood coagulation function and nerve function of beraprost in the treatment of acute cerebral infarction.Methods 80 cases of acute cerebral infarction were randomly divided into 2 groups, 40 cases in the control group and 40 cases in the experiment group.The control group received routine treatment, the experiment group were treated with the same as the control group combined with beraprost.Changes of coagulation function and nerve function were compared pre-and post-treatment between two groups.Results Compared with pre-treatment, APTT, PT, Fib level, serum NGF level, Barthel score increased post-treatment of the two groups, D-D, serum NSE, S100b, NIHSS score decreased, compared with the control group, APTT, PT, Fib level, serum NGF level, Barthel score were higher in the experiment group, the total effective rate was higher than the control group, two D-D, serum NSE, S100β, NIHSS scores were lower than the control group, the differences were statistically significant (P<0.05).Conclusion Beraprost can reduce the high coagulation state in patients with acute cerebral infarction, improve the degree of neurological impairment, and has good clinical efficacy.

Objective To design a scientific, standardized, fully functional, easy-to-use Guillain-Barré syndrome (GBS) clinical informatization management system, with the purpose to meet the needs of diagnosis and clinical research in patients with GBS. This system can manage and excavate clinical data and provide a platform for clinical research of GBS. Methods The clinical data items of GBS were identified. The Visual Basic 6.0 and Vista DB software development environment was used to develop the system and the related database based on embedded database. Results A GBS database including 560 clinical indicators were set up. Through the built-in data mining and analysis functions, the system can realize the functions of visualized data input, combination search, statistical analysis, data exchange and literature update. This system has been used in Xijing Hospital, and a total 274 clinical and prognostic records were recorded from the patients with GBS. The practical results proved that the system can achieve the design goals. Conclusions Based on the information technology and GBS-related clinical epidemiology and neurology expertise, a standard GBS clinical data management and analysis system and related database were established, which could provide a basis for GBS information storage, update, epidemiological investigation and prognosis.

Objective:To investigate the consistency of domestic F-STROKE, NeuBrainCARE MRI automatic post-processing software and RAPID MRI automatic post-processing software in the output of infarction core area volume, time-to-maximum volume and ischemic penumbra volume in patients with acute ischemic stroke.Methods:The research was cross-sectional. The clinical and imaging data of patients with acute ischemic stroke from January 2016 to March 2021 were retrospectively collected, including 149 cases from Shanghai Fourth People′s Hospital Affiliated to Tongji University (Center 1), 120 cases from Langfang Changzheng Hospital of Hebei Province (Center 2), and 45 cases from Wuzhou Workers Hospital (Center 3). All patients underwent diffusion weighted imaging (DWI) and dynamic magnetic sensitivity contrast-perfusion weighted imaging (DSC-PWI). RAPID, F-STROKE and NeuBrainCARE automatic post-processing software were used to perform automatic post-processing analysis of MRI images of all patients with acute ischemic stroke. The infarct core (apparent diffusion coefficient<620×10 -6 mm 2/s) volume, time-to-maximum (T max>6 s) volume and the ischemic penumbra (PWI-DWI mismatch) volume were output. The Wilcoxon test was used to analyze the difference between F-STROKE, NeuBrainCARE, and RAPID software outputs of infarct core volume, time to maximum peak volume, and ischemic penumbra volume. Bland-Altman and intraclass correlation coefficient ( ICC) were used to analyze the consistency of the infarct core volume, time-to-maximum volume and ischemic penumbra volume output by F-STROKE, NeuBrainCARE and RAPID software. Results:There were statistically significant differences in the core infarct volume between F-STROKE and RAPID software, NeuBrainCARE and RAPID software ( Z=-10.17, -5.43, both P<0.001). There were significant differences in the time-to-maximum volume between F-STROKE and RAPID software, NeuBrainCARE and RAPID software ( Z=-3.17, -5.51, both P<0.05). There was no significant difference in the ischemic penumbra volume between F-STROKE software and RAPID software ( Z=-1.43, P=0.153), and there was significant difference in the ischemic penumbra volume between NeuBrainCARE software and RAPID software ( Z=-6.45, P<0.05). Bland-Altman analysis showed that the values within the limits of agreement accounted for more than 93.31% of all point values. ICC analysis showed high agreement between F-STROKE, NeuBrainCARE, and RAPID software outputs of infarct core volume, time to maximum peak volume, and ischemic penumbra volume ( ICC>0.6). Conclusion:Domestic F-STROKE software, NeuBrainCARE software and RAPID software have good consistency in evaluating the infarct core volume, time-to-maximum volume and ischemic penumbra volume in patients with acute ischemic stroke, which is worthy of clinical promotion.