Objective To compare the curative effects and safety of immunoabsorption(IA) and double filtration plasmapheresis(DFPP) in treatment of Guillain-Barre syndrome(GBS).Methods 60 patients of GBS were randomly divided into two groups and treated with IA and DFPP,respectively.The neurological functions were assessed and the immunoglobulin,complement and total protein in the blood were also measured before and after treatments.Results The rating of the neurological function deficiency in both groups improved with time,but there was no significant difference in Hughes rating between two groups.After half year,the MRC rating in IA group was better than that in DFPP group((P

AIM To examine the effect of metabotropic glutamate receptor ligand (s) 4 carboxy 3 hydroxyphenyl glycine 〔(s) 4C3HPG〕 on kainic acid induced epileptic seizures and brain damage in rats. METHODS Rats were given (s) 4C3HPG (500 nmol/rat) by icv infusion prior to kainic acid (KA) injection ip(10 mg?kg -1 ). The behavoir changes, electrographic seizure duration and histological alterations between different group of rats were compared. RESULTS (s) 4C3HPG markedly reduced seizures severity in response to kainate. The seizure score in the rat with (s) 4C3HPG injection icv was significantly lower than that of control during the first three hours observation period after KA administration ( P

We reviewed 100 cases with Guillain-Barré syndrome (GBS) from 1980 to 1999, and found that the features of GBS in electrophysiological classification, age, area, seasonal distributions, and in preceding illness in northwestern China are different in some aspects from those in Europe and North America or in northern China. The demyelinating pattern appeares as a major subtype not only in different age groups, but also in different test times after symptom onset.

Objective To investigate the pattern of lymph node metastasis and analyze prognostic factors of Siewert type Ⅱ adenocarcinoma of esophagogastric junction (AEG).Methods The retrospective case-control study was conducted.The clinicopathological data of 368 patients with Siewert type Ⅱ AEG who were admitted to Tianjin Medical University Cancer Institute and Hospital from June 2010 and November 2015 were collected.There were 323 males and 45 females,aged from 35 to 80 years,with an average age of 64 years.Of 368 patients,209 underwent left transthoracic surgery,1 12 underwent thoracoabdominal surgery,and 47 underwent Ivor-Lewis surgery.Observation indicators:(1) total lymph node metastasis and metastasis of various lymph node stations;(2) follow-up and survival;(3) prognostic factors analysis;(4) influencing factors affecting thoracic lymph node metastasis.Follow-up using outpatient examination and telephone interview was performed to detect survival of patients up to November 2018.Measurement data with skewed distribution were represented as M (range).Count data were represented as absolute number or percentage.The survival time and rate were calculated using the Kaplan-Meier method.The univariate and multivariate analyses were done by the COX proportional hazard model.Results (1) Total lymph node metastasis and metastasis of various lymph node stations:the total lymph node metastasis rate was 66.58％ (245/368) in 368 patients.The metastasis rates of abdominal lymph nodes,thoracic lymph nodes,lower mediastinal lymph nodes,and upper mediastinal lymph nodes were 65.49％ (241/368),12.77％ (47/368),12.23％ (45/368),and 1.09％ (4/368),respectively.The order of metastasis rate of various lymph node stations from high to low was 51.99％(170/237) of No.7 left gastric artery,34.23％(89/260) of No.1 right paracardial region,33.88％ (83/245) of No.2 left paracardial region,28.91％ (85/294) of No.3 lesser curvature,27.10％(29/107) of No.1 1 splenic artery,19.75％(16/81) of No.9 celiac trunk,15.25％(36/236) of No.E8Lo lower paraesophageal region,11.94％ (16/134) of No.4 greater curvature,11.76％ (6/51) of No.E8M middle paraesophageal region,11.1 1％(10/90) of No.8 common hepatic artery,4.65％(4/86) of No.E9L left inferior pulmonary ligament and 3.39％ (2/59) of No.E7 subcarinal region.(2) Follow-up and survival:of the 368 patients,309 were followed up for 1-103 months,with a median follow-up time of 38 months.The survival time of 309 patients was 0.7-101.9 months,and the median survival time was 35.9 months.During the followup,the postoperative l-,2-,3-year overall survival rates were 85.9％,68.6％,and 58.7％,respectively.(3) Prognostic factors analysis.Results of univariate analysis showed that tumor differentiation degree,presence of thoracic lymph node metastasis,number of metastatic lymph nodes,T staging,tumor diameter,and length of esophageal invasion were associated factors affecting prognosis of patients (x2 =8.776,26.582,46.057,18.679,22.460,9.158,P＜0.05).Results of multivariate analysis showed that presence of thoracic lymph node metastasis,number of metastatic lymph nodes,T staging,and tumor diameter were independent influencing factors for prognosis of patients [odds ratio (OR) =1.699,1.271,1.422,1.238,95％ confidence interval:1.102-2.621,1.019-1.481,1.090-1.856,0.971-1.481,P＜0.05].(4) Influencing factors affecting thoracic lymph node metastasis:results of univariate analysis showed that tumor diameter,length of esophageal invasion,number of lymph lodes harvested in thorax were related factors for thoracic lymph node metastasis (x2 =5.129,43.140,10.605,P＜0.05).Results of multivariate analysis showed that length of esophageal invasion ≥2 cm,number of lymph lodes harvested in thorax ≥ 4 were independent risk factors for thoracic lymph node metastasis (OR =6.321,1.097,95％ confidence interval:2.982-13.398,1.026-1.173,P＜0.05).Conclusion Lymph node metastasis of Siewert type Ⅱ AEG spreads two regions,mainly at abdominal lymph nodes,followed by the thoracic lymph nodes.Presence of thoracic lymph node metastasis,number of metastatic lymph nodes,T staging,and tumor diameter are independent influencing factors for prognosis of patients.Presence of thoracic lymph node metastasis indicates poor prognosis of patients.Length of esophageal invasion ≥ 2 cm and number of lymph lodes harvested in thorax ≥4 are independent risk factors for thoracic lymph node metastasis.

Objective:To investigate the value of number of negative lymph nodes (NLNs) in predicting the prognosis of patients with esophageal cancer after neoadjuvant therapy and the construction of nomogram prodiction model.Methods:The retrospective cohort study was conducted. The clinicopathological data of 1 924 patients with esophageal cancer after neoadjuvant therapy uploaded to the Surveillance, Epidemiology, and End Results Database of the National Cancer Institute from 2004 to 2015 were collected. There were 1 624 males and 300 females, aged 63 (range, 23?85)years. All 1 924 patients were randomly divided into the training dataset of 1 348 cases and the validation dataset of 576 cases with a ratio of 7:3 based on random number method in the R software (3.6.2 version). The training dataset was used to constructed the nomogram predic-tion model, and the validation dataset was used to validate the performance of the nomogrram prediction model. The optimal cutoff values of number of NLNs and number of examined lymph nodes (ELNs) were 8, 14 and 10, 14, respectively, determined by the X-tile software (3.6.1 version), and then data of NLNs and ELNs were converted into classification variables. Observation indicators: (1) clinicopathological characteristics of patients in the training dataset and the validation dataset; (2) survival of patients in the training dataset and the validation dataset; (3) prognostic factors analysis of patients in the training dataset; (4) survival of patients in subgroup of the training dataset; (5) prognostic factors analysis in subgroup of the training dataset; (6) construction of nomogram prediction model and calibration curve. Measurement data with normal distribution were represented as Mean± SD, and comparison between groups was conducted using the t test. Measurement data with skewed distribution were represented as M(range), and comparison between groups was conducted using the Mann-Whitney U test. Count data were described as absolute numbers, and comparison between groups was conducted using the chi-square test. The Kaplan-Meier method was used to draw survival curve and Log-Rank test was used for survival analysis. The COX proportional hazard model was used for univariate and multivariate analyses. Based on the results of multivariate analysis, the nomogram prediction model was constructed. The prediction efficacy of nomogram prediction model was evaluated using the area under curve (AUC) of the receiver operating characteristic curve and the Harrell′s c index. Errors of the nomogram prediction model in predicting survival of patients for the training dataset and the validation dataset were evaluated using the calibration curve. Results:(1) Clinicopathological characteristics of patients in the training dataset and the validation dataset. There was no significant difference in clinicopatholo-gical characteristics between the 1 348 patients of the training dataset and the 576 patients of the validation dataset ( P>0.05). (2) Survival of patients in the training dataset and the validation dataset. All 1 924 patients were followed up for 50(range, 3?140)months, with 3-year and 5-year cumulative survival rate as 59.4% and 49.5%, respectively. The 3-year cumulative survival rate of patients with number of NLNs as <8, 8?14 and >14 in the training dataset was 46.7%, 62.0% and 66.0%, respectively, and the 5-year cumulative survival rate was 38.1%, 52.1% and 59.7%, respectively. There was a significant difference in the survival of these patients in the training dataset ( χ2=33.70, P<0.05). The 3-year cumulative survival rate of patients with number of NLNs as <8, 8?14 and >14 in the validation dataset was 51.1%, 54.9% and 71.2%, respectively, and the 5-year cumulative survival rate was 39.3%, 42.5% and 55.7%, respectively. There was a significant difference in the survival of these patients in the validation dataset ( χ2=14.49, P<0.05). The 3-year cumulative survival rate of patients with number of ELNs as <10, 10?14 and >14 in the training dataset was 53.9%, 60.0% and 62.7%, respectively, and the 5-year cumulative survival rate was 44.7%, 49.1% and 56.9%, respectively. There was a significant difference in the survival of these patients in the training dataset ( χ2=9.88, P<0.05). The 3-year cumulative survival rate of patients with number of ELNs as <10, 10?14 and >14 in the validation dataset was 56.2%, 47.9% and 69.3%, respectively, and the 5-year cumula-tive survival rate was 44.9%, 38.4% and 51.9%, respectively. There was a significant difference in the survival of these patients in the validation dataset ( χ2=9.30, P<0.05). (3) Prognostic factors analysis of patients in the training dataset. Results of multivariate analysis showed that gender, neoadjuvant pathological (yp) T staging, ypN staging (stage N1, stage N2, stage N3) and number of NLNs (8?14, >14) were independent influencing factors for the prognosis of patients with esophageal cancer after neoadjuvant therapy ( hazard ratio=0.65, 1.44, 1.96, 2.41, 4.12, 0.69, 0.56, 95% confidence interval as 0.49?0.87, 1.17?1.78, 1.59?2.42, 1.84?3.14, 2.89?5.88, 0.56?0.86, 0.45?0.70, P<0.05). (4) Survival of patients in subgroup of the training dataset. Of the patients with NLNs in the training dataset, the 3-year cumulative survival rate of patients with number of NLNs as <8, 8?14 and >14 was 61.1%, 71.6% and 76.8%, respectively, and the 5-year cumulative survival rate was 50.7%, 59.9% and 70.1%, respectively. There was a significant difference in the survival of these patients in the training dataset ( χ2=12.66, P<0.05). Of the patients with positive lymph nodes in the training dataset, the 3-year cumulative survival rate of patients with number of NLNs as <8, 8?14 and >14 was 26.1%, 42.9% and 44.7%, respectively, and the 5-year cumulative survival rate was 20.0%, 36.5% and 39.3%, respectively. There was a significant difference in the survival of these patients in the training dataset ( χ2=20.39, P<0.05). (5) Prognostic factors analysis in subgroup of the training dataset. Results of multivariate analysis in patients with NLNs in the training dataset showed that gender, ypT staging and number of NLNs (>14) were independent influencing factors for the prognosis of patients with esophageal cancer after neoadju-vant therapy ( hazard ratio=0.67, 1.44, 0.56, 95% confidence interval as 0.47?0.96, 1.09?1.90, 0.41?0.77, P<0.05). Results of multi-variate analysis in patients with positive lymph nodes in the training dataset showed that race as others, histological grade as G2, ypN staging as stage N3 and number of NLNs (8?14, >14) were independent influencing factors for the prognosis of patients with esophageal cancer after neoadjuvant therapy ( hazard ratio=2.73, 0.70, 2.08, 0.63, 0.59, 95% confidence interval as 1.43?5.21, 0.54?0.91, 1.44?3.02, 0.46?0.87, 0.44?0.78, P<0.05). (6) Construction of nomogram prediction model and calibration curve. Based on the multivariate analysis of prognosis in patients of the training dataset ,the nomogram prediction model for the prognosis of patients with esophageal cancer after neoadju-vant treatment was constructed based on the indicators of gender, ypT staging, ypN staging and number of NLNs. The AUC of nomogram prediction model in predicting the 3-, 5-year cumulative survival rate of patients in the training dataset and the validation dataset was 0.70, 0. 70 and 0.71, 0.71, respectively. The Harrell′s c index of nomogram prediction model of patients in the training dataset and the validation dataset was 0.66 and 0.63, respectively. Results of calibration curve showed that the predicted value of the nomogram prediction model of patients in the training dataset and the validation dataset was in good agreement with the actual observed value. Conclusion:The number of NLNs is an independent influencing factor for the prognosis of esophageal cancer patients after neoadjuvant therapy, and the nomogram prediction model based on number of NLNs can predict the prognosis of esophageal cancer patients after neoadjuvant therapy.

In the study, specific primers were designed based on the CO Ⅰ gene sequence of Polyrhachis dives. By optimizing the genomic DNA extraction method and amplification conditions, we established an efficient, specific, and accurate DNA molecular identification method for Polyrhachis dives. In this method, the length of the target fragment was 294-308 bp, and the other counterfeits had no target bands. In this paper, the specific identification method of the origin of Polyrhachis dives established can be used to identify the medicinal materials of Polyrhachis dives accurately.