Objective:To investigate the effect and mechanism of Fuzheng Touxie prescription （FZTX） on the immune homeostasis of drug-resistant Pseudomonas aeruginosa lung infection in rats at different time points. Method:A total of 168 rats were divided into a blank group （n=8），a model group （n=40），a Touxie （TX） group （n=40），an early Fuzheng （FZ） group （n=40）， and a delayed FZ group （n=40）. The blank group was given distilled water by gavage， the model group was given distilled water by gavage after infection，the TX group was given clear heat and penetrate evil drug free decoction granules（3.5 g·kg^-1） by gavage after infection， the early FZ group was given Fuzheng Touxie whole formula free decoction granules（10.75 g·kg^-1） by gavage after infection， the delayed FZ group was given clear heat and penetrate evil drug free decoction granules by gavage after infection， on the third day plus Fuzheng drug free decoction granules［（3.5+10.75） g·kg^-1］ by gavage， the three treatment groups were gavaged twice a day， 2 mL each time .Each drug treatment group was divided into five groups according to five time points （3 h，1 d，3 d，5 d， and 7 d）， with eight rats in each group. The levels of tumor necrosis factor-α（TNF-α），high mobility group protein 1（HMGB1），interleukin-10（IL-10）， and tumor necrosis factor -α-induced protein-8-like2 （TIPE2） were measured by enzyme-linked immunosorbent assay （ELISA）， and HMGB1 protein expression level by Western blot. Result:At 3 h，the TNF-α content in the drug treatment groups was higher than that in the blank group and the model group （P<0.05）. At 3 d，the TNF-α content in the early FZ group and the delayed FZ group was lower than that in the model group （P<0.05） and the TX group （P<0.05）. At 1 d，the HMGB1 content in the TX group and the delayed FZ group was higher than that in the model group （P<0.05）. At 5 d，the HMGB1 content was lower in the delayed FZ group than in the model group （P<0.05）. At 7 d，HMGB1 protein expression in the model group was higher than that in the blank group （P<0.05） and the early FZ group （P<0.05）. At 3 d，the IL-10 content was significantly higher in both the early FZ group and the delayed FZ group than that in the model group （P<0.05）. At 5 d，the IL-10 content was higher in the early FZ group than that in the TX group （P<0.05）. At 7 d，the IL-10 content in the early FZ group and the delayed FZ group was lower than that in the TX group （P<0.05）. At 5 d，the TIPE2 content in the early FZ group was lower than that in the model group （P<0.05）. At 7 d，the TIPE2 content in the TX group and the delayed FZ group was lower than that in the model group （P<0.05）. Conclusion:FZTX or modified prescription can promote the inflammatory response to eliminate pathogenic bacteria in the early stage and suppress the inflammatory response in the late stage to avoid the inflammatory cascade effect and lung tissue damage，indicating that Fuzheng drugs have an important role in maintaining the immune homeostasis of the body after infection.

Xiaoshuan Tongluo formula is effective in treating mental retardation and speech astringency caused by cerebral thrombosis, but its mechanism remains unclear. In this investigation, by collecting the chemical constituents from Xiaoshuan Tongluo formula and the targets related to stroke, we obtained 1 251 constituents from the formula and 10 drug targets related with stroke. We established 18 prediction models of compound-target interaction for 10 stroke-related targets, using molecular docking method and machine learning methods includes Naive Bayesian and recursive partitioning based on the input of molecular fingerprints and molecular descriptors. Using these models, we predicted the active chemical constituents from Xiaoshuan Tongluo formula and their drug targets, 153 potential active constituents were discovered, 22 among them could interact with at least two drug targets related with stroke. On this basis, the chemical constituent-target network was constructed using network construction software, and then the important metabolic pathways of the targets were identified by using Gene-Ontology (GO) enrichment analysis, such as blood coagulation, positive regulation of angiogenesis, positive regulation of ion transport and so on. On this basis, a target-pathway network was constructed. In conclusion, using machine learning, molecular docking, virtual screening, data mining and network construction, this study explored and partially revealed the active chemical constituents and chemical constituent-target-pathway network action mechanism of Xiaoshuan Tongluo formula against stroke, which will provide important information for its further study.

OBJECTIVE: To compare the therapeutic effect of electro-nape-acupuncture (ENA) combined with hyperbaric oxygen therapy (HBOT) and single HBOT on refractory flat descending idiopathic sudden sensorineural hearing loss (ISSNHL). METHODS: A total of 78 patients were randomized into an ENA combined with HBOT (ENA+HBOT) group and a HBOT group, 39 cases in each one. Patients in both groups were treated with oral extract of ginkgo biloba leaves and mecobalamin tablets. On the basis of the conventional medication treatment, HBOT was adopt in the HBOT group. On the basis of the treatment in the HBOT group, electro-nape-acupuncture was applied at Fengchi (GB 20), Gongxue (Extra), Zhongzhu (TE 3), Waiguan (TE 5) and Yifeng (TE 17), Tinggong (SI 19), Tinghui (GB 2) and the vertigo-auditory area of affected side in the ENA+HBOT group. Pulse acupuncture instrument was connected at Fengchi (GB 20) and Gongxue (Extra) for 30 min (with continuous wave, 2 Hz in frequency), the needles were retained for another 30 min after electroaupuncture. The treatment was given once a day, 6 times a week for 4 weeks in both groups. Before the treatment and 2,4 weeks into the treatment, the average auditory threshold, the scores of tinnitus handicap inventory (THI) and dizziness handicap inventory (DHI) were observed, and the therapeutic effect was evaluated in both groups. RESULTS: Compared before treatment, the average auditory threshold, the scores of THI and DHI of 2,4 weeks into the treatment were decreased in both groups (<0.000 1). Compared with the HBOT group, the average auditory threshold, the scores of THI and DHI of 4 weeks into the treatment were lower in the ENA+HBOT group (<0.000 1). The total effective rate was 69.2% (27/39) in the ENA+HBOT group and 51.3% (20/39) in the HBOT group, there was no statistical difference (>0.05). CONCLUSION Electro-nape- acupuncture can improve the mean auditory threshold and the symptoms of tinnitus and dizziness in patients with refractory flat descending idiopathic sudden sensorineural hearing loss.
Acupuncture Therapy ; Dizziness ; therapy ; Hearing Loss, Sensorineural ; therapy ; Hearing Loss, Sudden ; therapy ; Humans ; Hyperbaric Oxygenation ; Plant Extracts ; therapeutic use ; Tinnitus ; therapy ; Treatment Outcome ; Vitamin B 12 ; analogs & derivatives ; therapeutic use

BACKGROUND: Posterolateral tibial plateau fracture is a special type of tibial plateau fracture. Because of its special anatomical location, there are many kinds of surgical approaches and implants used in the treatment in and outside China, but no consensus has been reached. OBJECTIVE: To summarize various surgical approaches and implants by analyzing the local anatomical structure and fracture types of the posterolateral tibial plateau. METHODS: The databases of Wanfang Medical Network, China National Knowledge Infrastructure and PubMed were searched by computer. Using the keywords of “tibial plateau fracture; posterolateral tibial plateau fracture; internal fixation; surgical approach” in Chinese and English. According to the inclusion and exclusion criteria, 54 related articles were finally included and summarized. RESULTS AND CONCLUSION: There are local structures of common peroneal nerve, anterior tibial artery and fibular head on the posterolateral tibial plateau, which will affect the operation. The commonly used fracture types are Schatzker, AO/ATO, three-column classification systems and posterior column 4 zone. Posterior column 4 zone has a more definite guiding effect on posterolateral tibial plateau fractures. There are many kinds of surgical approaches and internal plants for the treatment of posterolateral tibial plateau fractures, and the optimal selection should be made according to the fracture characteristics. For simple posterolateral tibial plateau fractures, the posterolateral approach has a certain advantage over other approaches. Posterolateral supporting plate has a better supporting effect on posterolateral shear fracture of tibial plateau.

OBJECTIVETo evaluate the value of blood lactic acid (BLA) as a predictor for the severity and prognosis of neonatal shock.

METHODSA total of 326 neonates with shock were enrolled and divided into three groups based on the severity, namely mild group (n=147), moderate group (n=105), and severe group (n=74). BLA level was measured during and early after (about 6 hours later) fluid resuscitation, and lactate clearance rate (LCR) was calculated. The receiver operating characteristic (ROC) curve was applied to evaluate the predictive value of BLA in neonatal shock.

RESULTSBLA level was high in all subjects prior to treatment, and was highest in the severe group and lowest in the mild group (P<0.01). BLA level was significantly higher among patients with septic shock than among those with hypovolemic, cardiogenic, and asphyxiating shock (P<0.05). BLA level was significantly reduced in patients in recovery after treatment (P<0.05). Mortality was significantly lower in patients with BLA level ≤4 mmol/L or LCR ≥10% than in those with BLA level >4 mmol/L or LCR <10% (P<0.01). BLA at 11.15 mmol/L had 100% sensitivity and 96.8% specificity in predicting severe shock. BLA at 10.65 mmol/L had 88.9% sensitivity and 74.1% specificity in predicting the prognosis (survival or dead) of newborns with shock.

CONCLUSIONSIn neonates with shock, arterial BLA level increases as the disease severity increases and is associated with prognosis, so it is a useful predictor of the severity and prognosis of neonatal shock.

In intensity-modulated radiation therapy (IMRT), it is time-consuming to repeatedly adjust the objectives manually to obtain the best tradeoff between the prescribed dose of the planning target volume and sparing the organs-at-risk. Here we propose a new method to realize automatic multi-objective IMRT optimization, which quantifies the clinical preferences into the constraint priority list and adjusts the dose constraints based on the list to obtain the optimal solutions under the dose constraints. This method contains automatic adjustment mechanism of the dose constraint and automatic voxel weighting factor-based FMO model. Every time the dose constraint is adjusted, the voxel weighting factor-based FMO model is launched to find a global optimal solution that satisfied the current constraints. We tested the feasibility and effectiveness of this method in 6 cases of cervical cancer with IMRT by comparing the original plan and the automatic optimization plan generated by this method. The results showed that with the same PTV coverage and uniformity, the automatic optimization plan had a better a dose sparing of the organs-at-risk and a better plan quality than the original plan, and resulted in obvious reductions of the average V45 of the rectum from (41.99∓13.31)% to (32.55∓22.27)% and of the bladder from (44.37∓4.08)% to (28.99∓15.25)%.

OBJECTIVETo establish the association between the geometric anatomical characteristics of the patients and the corresponding three-dimensional (3D) dose distribution of radiotherapy plan via feed-forward back-propagation neural network for clinical prediction of the plan dosimetric features.

METHODSA total of 25 fixed 13-field clinical prostate cancer intensity-modulated radiation therapy (IMRT)/stereotactic body radiation therapy (SBRT) plans were collected with a prescribed dose of 50 Gy. With the distance from each voxel to the planned target volume (PTV) boundary, the distance from each voxel to each organ-at-risk (OAR), and the volume of PTV as the geometric anatomical characteristics of the patients, the voxel deposition dose was used as the plan dosimetric feature. A neural network was used to construct the correlation model between the selected input features and output dose distribution, and the model was trained with 20 randomly selected cases and verified in 5 cases.

RESULTSThe constructed model showed a small model training error, small dose differences among the verification samples, and produced accurate prediction results. In the model training, the point-to-point mean dose difference (hereinafter dose difference) of the 3D dose distribution was no greater than 0.0919∓3.6726 Gy, and the average of the relative volume values corresponding to the fixed dose sequence in the DVH (hereinafter DVH difference) did not exceed 1.7%. The dose differences among the 5 samples for validation was 0.1634∓10.5246 Gy with percent dose differences within 2.5% and DVH differences within 3%. The 3D dose distribution showed that the dose difference was small with reasonable predicted dose distribution. This model showed better performances for dose distribution prediction for bladder and rectum than for the femoral heads.

CONCLUSIONWe established the relationships between the geometric anatomical characteristics of the patients and the corresponding planning 3D dose distribution via feed-forward back-propagation neural network in patients receiving IMRT/SBRT for the same tumor site. The proposed model provides individualized quality standards for automatic plan quality control.

· AIM:To investigate the prevalence of juvenile myopia and factors affecting its occurrence in Linxia Prefecture.· METHODS:Totally 8 683 juvenile students who were 6-18 years old were extracted as respondent with stratified cluster sampling method.The eyesight,diopter and axial length were detected,and the gender,age,ethnicity,eye behavior were collected by self-made questionnaire.· RESULTS:The prevalence of myopia was 42.80％.The myopic rates of all ethnic groups were as follows:Tibetan Nationality:59.05％,Han Nationality:46.71％,Dongxiang Nationality:46.36％,Tu Nationality:45.24％,Sala Nationality:41.30％,Baoan nationality:40.61％,Hui Nationality:31.97％.Myopia rate between each ethnic groups had statistical difference (x2 =44.08,P=0.007).Multivariate analyses revealed that outdoor activities during the break was the protect factor for myopia;age,using electronic products on weekends and holidays,using the same lighting in room while studying were risk factors for myopia.· CONCLUSION:The prevalence of myopia increase with age in Linxia.The prevalence in different ethnic groups is different.Education department and family should make joint efforts to increase the outdoor time,improve the environment for teenagers to reduce the occurrence and development of myopia.

OBJECTIVETo treat patients with vascular mild cognitive impairment (VMCI) using traditional Chinese medicine (TCM), it is necessary to classify the patients into TCM syndrome types and to apply different treatments to different types. In this paper, we investigate how to properly carry out the classification for patients with VMCI aged 50 or above using a novel data-driven method known as latent tree analysis (LTA).

METHODA cross-sectional survey on VMCI was carried out in several regions in Northern China between February 2008 and February 2012 which resulted in a data set that involves 803 patients and 93 symptoms. LTA was performed on the data to reveal symptom co-occurrence patterns, and the patients were partitioned into clusters in multiple ways based on the patterns. The patient clusters were matched up with syndrome types, and population statistics of the clusters are used to quantify the syndrome types and to establish classification rules.

RESULTSEight syndrome types are identified: Qi deficiency, Qi stagnation, Blood deficiency, Blood stasis, Phlegm-dampness, Fire-heat, Yang deficiency, and Yin deficiency. The prevalence and symptom occurrence characteristics of each syndrome type are determined. Quantitative classification rules are established for determining whether a patient belongs to each of the syndrome types.

CONCLUSIONA solution for the TCM syndrome classification problem for patients with VMCI and aged 50 or above is established based on the LTA of unlabeled symptom survey data. The results can be used as a reference in clinic practice to improve the quality of syndrome differentiation and to reduce diagnosis variances across physicians. They can also be used for patient selection in research projects aimed at finding biomarkers for the syndrome types and in randomized control trials aimed at determining the efficacy of TCM treatments of VMCI.

The efficacy of traditional Chinese medicine (TCM) treatments for Western medicine (WM) diseases relies heavily on the proper classification of patients into TCM syndrome types. The authors developed a data-driven method for solving the classification problem, where syndrome types were identified and quantified based on statistical patterns detected in unlabeled symptom survey data. The new method is a generalization of latent class analysis (LCA), which has been widely applied in WM research to solve a similar problem, i.e., to identify subtypes of a patient population in the absence of a gold standard. A well-known weakness of LCA is that it makes an unrealistically strong independence assumption. The authors relaxed the assumption by first detecting symptom co-occurrence patterns from survey data and used those statistical patterns instead of the symptoms as features for LCA. This new method consists of six steps: data collection, symptom co-occurrence pattern discovery, statistical pattern interpretation, syndrome identification, syndrome type identification and syndrome type classification. A software package called Lantern has been developed to support the application of the method. The method was illustrated using a data set on vascular mild cognitive impairment.
Data Collection ; Data Interpretation, Statistical ; Diagnosis, Differential ; Humans ; Medicine, Chinese Traditional