Objective]Aimed to inherit Mr Chen Zugao's clinical experience and understand his medical characteristics. [Methods]Through the review of the herbal medicine books, summarized the experience of commonly used drugs(paired drugs and the three drugs pairing) of Mr. Chen. [Results] Completed the summary about Mr Chen's 8 groups of paired drugs(dui yao) and the three drugs pairing(jiaoyao): guizhi, digupi; guizhi, gansui;chuanshanjia, zaojiaoci; baijiezi, jiuxiangchong; huangqi, tianhuafen; qinjiu, baijili; fuzi, xixin, shigao; huangqi, zhimu, taizishen. [Conclusions]The paired drugs(dui yao) and the three drugs pairing(jiao yao) are the main medicine prescription drugs. A lot of applications wil be done in order to achieve good results. Inferiors wil be harvested who can have careful study of Mr. Chen's experience.

Objective: To explore the coping strategies of students of military medical university, and the relationship between coping strategies and mental health. Methods: 4786 students of military medical university were assessed with the Simplified Coping Style and SCL-90. Results: 30～40% of the student chose active strategies when facing stresses. Fewer students adopt negative strategies (2～38%). The SCL-90 score of the students of military medical university were lower than students of other military schools. Positive coping strategies were associated with less SCL-90 score (fewer somatic and mental discomfort).Conclusion:Coping strategies are associated with mental health in student of military medical university.

OBJECTIVETo compare the differences in the clinical therapeutic effects on mild and moderate carpal tunnel syndrome between the combined therapy of regular acupuncture and contralateral needling technique at distal acupoints and the regular acupuncture.

METHODSSixty patients of mild and moderate carpal tunnel syndrome were divided into an observation group and a control group according to random number table, 30 cases in each one. Laogong (PC 8), Daling (PC 7), Neiguan (PC 6), Yuji (LU 10) and Hegu (LI 4) were selected on the affected side in the two groups. In the observation group, the reducing needling technique with lifting and thrusting was applied at first to Taichong (LR 3) and Zhongfeng (LR 4) on the opposite side and afterwards those on the affected side were stimulated. In the control group, acupuncture was given at the acupoints on the affected side. The even-needling technique was used at the acupoints on the affected side in the patients of the two groups. Acupuncture was given once every day, 30 min each time. The treatment for 10 days was as one session. The therapeutic effects were evaluated after 3 sessions. The changes in median nerve electrophysiology, Levine's carpal tunnel syndrome questionnaire, the patient-rated wrist evaluation (PRWE) and the evaluation of therapeutic effects were observed before and after treatment in the two groups.

RESULTSThe total effective rate was 90.0% (27/30) in the observation group, better than 70.0% (21/30) in the control group (<0.05). After treatment, the nerve sensory conduction velocity and the amplitude of median nerve were all increased in the two groups, indicating the significant differences (all<0.05). The increase in the observation group was more apparent than that in the control group (all<0.05). The symptom severity score (SSS) and function status score (FSS) were all reduced apparently after treatment in the two groups (both<0.05). SSS and FSS in the observation group were lower apparently than those in the control group after treatment (both<0.05). PRWE score after treatment was reducedapparently as compared with that before treatment in the two groups (both<0.05). The result in the observation group was lower than that in the control group after treatment (<0.05).

CONCLUSIONSThe combined treatment of regular acupuncture technique and the contralateral needling technique at distal acupoints achieves the definite therapeutic effects on mild and moderate carpal tunnel syndrome, apparently superior to the regular needling technique.

Objective To establish simple screening models for nonalcoholic fatty liver disease (NAFLD) in the adult Blang population. Methods Based on the survey data of metabolic diseases in the Blang people aged 18 years or above in 2017, 2993 respondents were stratified by sex and age (at an interval of 5 years) and then randomly divided into modeling group with 1497 respondents and validation group with 1496 respondents. Related information was collected, including demographic data, smoking, drinking, family history of diseases and personal medical history, body height, body weight, waist circumference, and blood pressure, and related markers were measured, including fasting plasma glucose, 2-hour postprandial plasma glucose or blood glucose at 2 hours after glucose loading, triglyceride, total cholesterol, high-density lipoprotein cholesterol, low-density lipoprotein cholesterol, alanine aminotransferase (ALT), aspartate aminotransferase (AST), and gamma-glutamyl transpeptidase. The chi-square test was used for comparison of categorical data between two groups. Logistic regression analysis was used to establish the screening model. The area under the receiver operating characteristic curve (AUC), sensitivity, specificity, positive likelihood ratio, negative likelihood ratio, positive predictive value, and negative predictive value were used to evaluate the screening performance of established models versus existing models in the study population, and the DeLong method was used for comparison of AUC. Results Three screening models for NAFLD were established based on physical and biochemical measurements, i.e., simple noninvasive model 1 (age, body mass index, and waist circumference), noninvasive model 2 with the addition of blood pressure, and model 3 with the combination of hematological parameters (diabetes and ALT/AST). In the modeling group, the three models had an AUC of 0.881 (95% confidence interval [ CI ]: 0.864-0.897), 0.892 (95% CI : 0.875-0.907), and 0.894 (95% CI : 0.877-0.909), respectively, and there was a significant difference between model 1 and models 2/3 ( P =0.004 0 and P < 0.001); in the validation group, the three models had an AUC of 0.891 (95% CI : 0.874-0.906), 0.892 (95% CI : 0.875-0.907), and 0.893 (95% CI : 0.876-0.908), respectively, and there was no significant difference between the three groups ( P > 0.05). Based on the overall consideration of screening performance, invasiveness, and cost, the simple noninvasive model 1 was considered the optimal screening model for NAFLD in this population. Model 1 had the highest Youden index at the cut-off value of 5 points, and when the score of ≥5 points was selected as the criteria for NAFLD, the model had a sensitivity of 86.5%, a specificity of 79.7%, a positive predictive value of 50.3%, and a negative predictive value of 96.1% in the modeling group and a sensitivity of 85.6%, a specificity of 80.6%, a positive predictive value of 51.7%, and a negative predictive value of 95.8% in the validation group. Conclusion The NAFLD screening models established for the adult Blang population based on age and obesity indicators have relatively higher sensitivity, specificity, and negative predictive value, and this tool is of important practical significance for the intervention of NAFLD and its closely related metabolic diseases in this population.