Objective:To explore the effect of ligustrazine on Th17 cell and the expression of Th17/Treg characteristic cytokines in a model of asthma.Methods: Male BALB/c mice were randomly devided into four groups , including the normal control group,the model group,the ligustrazine treatment group and the DXM treatment group ,with 10 mice in each group.In the model group, mice were sensitized with the OVA respectively.In the treatment group ,mice were also sensitized and challenged as model group and in addition were intraperitoneally injected with the ligustrazine or DXM.The mice of control group were intraperitoneally injected normal sodium instead of OVA and challenged by inhaling normal sodium instead of OVA in challenge phase respectively .Animals were sacrificed to detect the percentage of CD 4+CD25+T regulatory cells and Th17 cells in the blood were measured by flow cytometry ,and the cytokines,including IL-17 and IL-10,in the blood serum by ELISA.Results:The mice of model group showed the performances of a typical asthma.In treatment group ,the symptoms above mentioned became lighter.The mice of control group were generally in good condition;the lung tissue from the mice of model group showed widen alveolar septum , narrowed bronchial lumen , thicken bronchial wall,and numerous inflammatory cells infiltrated around the small vessels and bronchioles.In ligustrazine treatment group, the pulmonary inflammation was obviously relieved compared with the model group;the percentages of CD 4+CD25+T regulatory cell both in the peripheral blood and in the total CD 4+T cells were significantly lower in the mice of model group than in the mice of control group , and were higher in the treatment group than in the model group;the level of IL-10 in serum was significantly lower in the model group than in the control group ,and was higher in the treatment group than in the model group.The level of IL-17 of serum was significantly higher in the model group than in the control group , and was significantly lower in the treatment group than in the model group.Conclusion:Ligustrazine can adjust the Th 17/Treg balance and reduce the inflammation of lung tissue in asthma mice by up-regulating CD4+CD25+T regulatory cell and then restraining the Th 17 response , and play a preventive/control asthma attack role in asthma model mouse.

Objective To explore the application of A-V impulse foot pump in patients with lumbar spine surgery to prevent lower extremity deep venous thrombosis. Methods A total of 139 patients with spinal lesions who took spinal surgery treatment from April 2015 to March 2016 were divided into experimental group (69 cases) and control group (70 cases) by random digits table method. Control group was given normal nursing instruction, and the person who had negative results of B ultrasonic examination in experimental group was accepted physical therapy with A-V impulse foot pump. The patients got secondary ultrasound or CT examination who had the deep venous thrombosis symptoms and/or highly suspected deep venous thrombosis in order to further confirmed, then calculated the incidence rate of two groups with deep venous thrombosis. Results There were 4 cases of 139 patients who got deep venous thrombosis in 2-6 days of postoperative, 1 case in experimental group, 3 case in control group, compared with control group, patients who used A-V impulse foot pump had lower risk of deep venous thrombosis, but there was no significant difference (P>0.05). The operation time, body mass index were (5.00 ± 0.82) h , (30.54 ± 3.93) kg/m2 in patients with deep venous thrombosis and (3.16 ± 0.66) h, (24.90 ± 2.62) kg/m2 in patients without deep venous thrombosis, and there were significant differences(t=5.44, 4.19, P<0.01). Conclusions The application of A-V impulse foot pump has positive significance to prevent the happening of deep venous thrombosis for patients who took spinal surgery, and it is worth to be popularized and applied in clinic.

Objective:To evaluate the prognostic value of sepsis-induced coagulopathy (SIC) in patients with sepsis.Methods:From January 2019 to December 2021, patients with sepsis admitted to the Intensive Care Unit of our hospital were retrospectively classified into the SIC group and non-SIC group according to SIC diagnostic criteria. The baseline clinical data, severity score, total length of hospital stay, length of ICU stay and 28-day survival were compared between the two groups. Kaplan-Meier was used to compare the 28-day survival of patients with sepsis between the two groups. Cox proportional hazard regression model was employed to analyze the risk factors of prognosis in patients with sepsis.Results:Totally 274 patients with sepsis were included in the analysis, including 139 patients in the SIC group and 135 patients in the non-SIC group. The two groups were compared in the perspectives of the Platelet count (PLT), prothrombin time (PT) , procalcitonin (PCT), D dimer, hematocrit, red blood cell distribution width, hemoglobin, acute kidney injury (AKI), the use of continuous renal replacement treatment (CRRT), the use of vasoactive drugs, sequential organ failure assessment (SOFA) score, acute physiology and chronic health evaluation (APACHEⅡ) score were compared between the two groups and the difference were statistically different (all P<0.05). Kaplan-Meier analysis showed that the 28-day mortality rate in the SIC group was significantly higher than that in the non-SIC group (32.4% vs. 14.1%, P<0.05). COX proportional hazard model showed that SIC score ( HR= 2.17, 95% CI: 1.15-3.91, P<0.05), APACHEⅡ score ( HR= 1.13, 95% CI: 1.09-1.17, P<0.05) and the use of vasoactive drugs ( HR=3.66, 95% CI: 1.53-8.75, P<0.05) were independent influencing factors for 28-day death in patients with sepsis. Conclusions:Patients with sepsis and SIC have more severe disease and increased mortality risk. SIC score exhibits good clinical value in predicting the prognosis of patients with sepsis.

Objective:To analyze the clinical characteristics of long-term survival patients with advanced non-small cell lung cancer (NSCLC) treated with chemotherapy combined with primary tumor radiotherapy, and to establish a Nomogram prognostic model, aiming to provide a certain reference for making a decision about the treatment of advanced NSCLC.Methods:A retrospective analysis was made on the data of 260 NSCLC patients who participated in two prospective clinical studies from January 2003 to May 2012 and the data of 138 NSCLC patients admitted to the Affiliated Cancer Hospital of Guizhou Medical University from January 2014 to August 2020. The former 260 cases were used as a training set and the latter 138 cases were used as the validation set. The overall survival (OS) of ≥ 18 months was defined as long-term survival (LTS). The clinical characteristics of LTS patients were compared with those with OS less than 18 months. The clinical characteristics and treatment-related parameters between the two types of patients were compared using the χ2 test. A multivariate analysis was made using logistic regression, and a nomogram model was built using RStudio. Results:The median OS of the training set was 13.4 months (95% CI: 11.9-14.9), with 1-, 2-, and 3-year OS rates of 55.4%, 19.1%, and 11.9%, respectively. In the training set, 87 cases had LTS and were classified as the LTS group, while 173 cases had OS less than 18 months and were classified as the non-LTS group. The univariate analysis showed that the prognostic factors affecting LST included the KPS score, T status, the number of metastatic organs, the number of metastatic lesions, brain metastasis, bone metastasis, the number of chemotherapy cycles, the biologically effective dose (BED) to the primary tumor, hemoglobin level, platelet count, plasma D-dimer, fibrinogen level, lactate dehydrogenase, and lung immune prognostic index (LIPI; χ2=4.72-12.63, P < 0.05). The multivariable analysis showed that the independent prognostic factors of LTS included a number of chemotherapy cycles ≥ 4, BED ≥ 70 Gy, platelets ≤ 220×10 9/L, D-dimer ≤ 0.5 mg/L, and a good LIPI score ( P= 0.002, 0.036, 0.005, 0.008, and 0.002). A nomogram model was established using the meaningful parameters obtained in the multivariable analysis, determining that the training and validation sets had a consistency index (C-index) of 0.750 and 0.727, respectively. As shown by the analytical result of the corrected curves, for the advanced NSCLC patients treated with thoracic radiotherapy, their LTS probability predicted using the nomogram prognostic model was highly consistent with their actual LTS probability. Both the analytical result of the receiver operating characteristic (ROC) curves and the decision curve analysis (DCA) result showed that the composite prediction model was more beneficial than a single prediction model. Conclusions:For patients with advanced NSCLC treated with thoracic radiotherapy, the independent prognostic factors of LTS included the number of chemotherapy cycles, BED, platelet count, pre-chemotherapy D-dimer, and LIPI score. The Nomogram prognostic model built based on these prognostic factors is a convenient, intuitive, and personalized prediction model used to screen patients who can benefit from thoracic radiotherapy.