Objective To study the genetic diversity of Sinopodophyllum hexandrum so as to provide basic molecular genetic evidence for protecting and exploiting the resource of S.hexandrum.Methods Six populations of S.hexandrum were analyzed by DALP molecular markers.To make up the genetic diversity correlation data by PopGene 1.31 software and cluster by UPGMA method,and establish the dendrogram.The tree was subsequently visualized with Treeview software.Results Five primer groups were screened and a total of 150 DNA fragments were amplified,among which 104 were polymorphic,i.e.the percentage of polymorphic bands(PPB) was 69.33%,the average number of DNA polymorphic band amplified by each primer group was 20.8 and the average PPB was 14.22%.In the six populations,the total observed number of alleles(Na) was 1.693 3 and the average Na was 1.142 2;The total effective number of alleles(Ne) was 1.417 1 and the average Ne was 1.083 8;The total Nei′s gene diversity(H) was 0.244 3 and the average H was 0.048 8;The total Shannon′s information index(I) was 0.364 3 and the average I was 0.073 0;The total gene diversity(Ht) was 0.244 3 while the gene diversity within a population(Hs) was 0.048 7.The coefficient of gene differentiation(Gst) was 0.800 5 between populations,namely 80.05% genetic variation occurring between populations and the rest 19.95% within population,and estimated gene flow(Nm) was 0.124 6.Conclusion The result indicats that S.hexandrum has much larger genetic differentiation among populations and gene flow has been blocked.This might be a result of species breeding system and population habitat.

Objective To develop a tool capable of early and exactly predicting various outcomes in comatose survivors who restore spontaneous circulation after cardiopulmonary resuscitation (CPR) and validate its performance.Methods Variables that were both readily available and predictive of outcomes were identified by systematically reviewing published literature on resuscitation.A value was assigned to these variables.We used these variables in combination with APACHE Ⅱ/score to devise a multifactorial prediction score system,which we called PRCSs Prognostication Score (PRCSs-PS).Outcomes in 115 hospitalized comatose survivors after CPR were retrospectively reviewed using PRCSs-PS.Score of patients with different outcomes was compared.The area under the receiveroperating characteristic (ROC) curve was determined to evaluate performance of this tool to identify patients with a poor outcome (CPC4 and 5) and other outcomes (CPC1,2,and 3).Results There were differences of PRCSs-PS score among multiple groups with five different outcomes (CPC1-5)(F=65.91,P=0.000).Pairwise groups with different CPC were compared:no significant difference was noted between CPC 1 and CPC2 (12.41±6.49 vs 17.38±6.91,P=0.092),but difference between other pairwise CPC groups was statistically significant (CPC2 vs CPC3:17.38±6.91 vs 24.50±5.80,P=0.041,CPC3 vs CPC4:24.50±5.80 vs 32.29±5.24,P=0.006).The performance of PRCSs-PS to discriminate patients with a poor outcome from patients with other outcomes went as follows:it had 100% sensitivity,78.6% specificity,and 178.6 diagnostic index at the score cut-off22.5; it had 77.8% sensitivity,100% specificity and 176.4 diagnostic index at the score cut-off32.5.Score 23 and 33 were two key cut-offpoints.The area under the ROC curve was 0.968,showing excellent discrimination.Conclusions The final outcomes in post-resuscitation comatose survivors can be accurately predicted using PRCSs-PS Score.

Objective: To analyse the mental state of patients with allergic rhinitis (AR) in Chengdu. Methods: One thousand five hundred and thirty-six AR patients from Sichuan Provincial Integrated Traditional Chinese and Western Medicine Hospital, West China Hospital of Sichuan University, Affiliated Hospital of Chengdu University of Traditional Chinese Medicine, Sichuan People′s Hospital, Sichuan Second Hospital of Traditional Chinese Medicine were selected from July 2013 to January 2018. Eight hundred and twenty-seven patients were screened into study group by inclusion and exclusion standards. The symptom check list 90 (SCL-90) was used to group and score the mental state of these patients according to nine classification criteria: gender, BMI, age, marital status, monthly salary, disease duration, living environment, education level and working environment. Then, the scores were compared within groups. Inter-group comparison was made between the study group and the Chinese norm, and the positive factors for psychological disorders were extracted. Four symptoms in the study group, i.e. nasal itching, sneezing, clear discharge and nasal congestion, were scored on the visual analogue scale (VAS). SPSS 19.0 software was used to carry out statistical analysis. Partial correlation analysis was performed between the positive factors and the symptom scores by multiple regression statistical method. Results: The total score of SCL-90 in the study group was 2.64±0.25, which was accorded with mild to moderate mental health impairment. There were 124 (15.0%) without mental health damage, 176 (21.3%) with mild damage, 474 (57.3%) with mild to moderate damage, 41 (5.0%) with moderate to severe damage and 12 (1.4%) with severe damage. The in-group comparison showed that the top three categories of different items were the living environment, gender and working environment. The scores of somatization, obsessive-compulsive symptoms, interpersonal sensitivity, depression, anxiety, psychosis, other (sleep, diet) and total average score of urban residents were higher than that of country residents (3.29±0.61 vs 2.65±0.50, 2.81±0.77 vs 2.05±0.38, 3.10±0.19 vs 2.49±0.67, 3.40±0.84 vs 2.49±0.70, 3.04±0.64 vs 2.33±0.51, 3.02±0.55 vs 2.40±0.77, 3.40±0.41 vs 2.52±0.77, 2.91±0.11 vs 2.29±0.40, Z value was 4.88, 5.25, 4.57, 5.91, 5.09, 4.63, 5.55, -4.55, respectively, all P<0.05). Women scored higher than man for somatization, interpersonal sensitivity, depression and others (2.66±0.51 vs 2.00±0.45, 3.37±0.47 vs 2.63±0.51, 3.44±0.57 vs 2.85±0.52, 3.47±0.36 vs 2.76±0.45, Z value was -5.10, -5.51, -4.86, -5.28, respectively, all P<0.05). The scores of somatization, interpersonal sensitivity, psychosis and other (sleep, diet) were higher in the indoor group than those in the outdoor group (3.49±0.64 vs 2.78±0.46, 3.33±0.30 vs 2.56±0.68, 3.28±0.60 vs 2.67±0.31, 3.50±0.85 vs 2.85±0.37, Z value was 5.31, 5.79, 4.89, 5.00, respectively, all P<0.05). The outdoor group scored higher on obsessive-compulsive symptoms, anxiety and hostility (3.44±0.40 vs 2.83±0.35, 3.40±0.50 vs 2.57±0.93, 3.34±0.88 vs 2.69±0.56, Z value was 4.96, 6.22, 5.08, respectively, all P<0.05). The inter-group comparison found that depression, anxiety, psychosis and other (sleep, diet) could be partially correlated with VAS scores as 4 positive factors. The results of partial correlation analysis showed that depression was positively correlated with sneezing and nasal runny discharge, anxiety was positively correlated with nasal itching and nasal obstruction, psychosis was positively correlated with nasal itching and sneezing, and other (sleep, diet) was positively correlated with nasal runny discharge and nasal obstruction. Conclusion AR patients have mild to moderate mental health impairments, which are correlated with AR symptoms.