BACKGROUND:Currently a big controversy erupts in the repair of abdominal wal defects with composite patch. OBJECTIVE:To compare the composite patch and biological patch in the repair of abdominal wal defects in dogs. METHODS:Ten dogs were selected to prepare abdominal wal defect models, and then randomized into experimental group subjected to composite patch repair and control group subjected to biological patch repair. Incision adhesion was assessed at postoperative 30, 60, 90 days; patches and defect tissues were taken and detected histologicaly at postoperative 14 days. RESULTS AND CONCLUSION:The incision adhesion in the experimental group was milder than that in the control group at different time post operation (P < 0.05). At 14 days post operation, the material structure was clear with no signs of absorption in the experimental group, and there were a large amount of infiltrated inflammatory cels around the patch material, such as neutrophils and lymphocytes, and non-phagocytic patch was found; in the control group, the material structure was fuzzy with the presence of inflammatory cel infiltration and slight signs of absorption. Moreover, inflammation and fibrosis were severer in the control group than the experimental group. These findings indicate that compared with the biological patch, the composite patch is better to effectively reduce inflammatory reactions.

Laser-induced breakdown spectroscopy has become a very attractive technique in the field of chemical analysis.The technique utilizes a laser focused on a small spot to create a micro-plasma on the sample surface.In recent years, laser-induced breakdown spectroscopy (LIBS) is a frontier analysis technique in spectrometric analysis, with the advantages such as real-time, online and non-contact analysis.The research and development of various instruments based on this technology has attracted great attention of researchers.In the article, we reviewed the research progress of LIBS instrument from the components and field equipment in recent years, mainly including portable LIBS, handheld LIBS and remote LIBS.

Medicine, Chinese Traditional ; Reproductive Techniques, Assisted

Despite the immense achievement in the field of IVF in recent years, many patients still suffer from recurrent implantation failure. Therefore, much attention has been drawn to its etiology and treatment. Chromosomal abnormality, sperm DNA damage, zona hardening, and inappropriate culture conditions are important factors that lead to recurrent implantation failure. Results of studies suggest that preimplantation genetic screening does not improve the rate of implantation or live birth. Comparative genomic hybridization array and single nucleotide polymorphism array could offer a more comprehensive screening of chromosomes. Assisted hatching may help to solve the problem of zona hardening in some situations. Co-culture and blastocyst transfer could be conducive to the improvement of the rates of implantation and pregnancy. Cytoplasmic transfer may give a solution to ooplasmic composition anomalies.
Chromosome Aberrations ; Coculture Techniques ; Embryo Implantation ; Embryo Transfer ; Female ; Fertilization in Vitro ; Germ Cells ; Humans ; Male ; Pregnancy ; Preimplantation Diagnosis ; Treatment Failure

Adult ; Air Pollutants, Occupational ; analysis ; poisoning ; Arsenic Poisoning ; complications ; Causality ; Female ; Humans ; Male ; Maximum Allowable Concentration ; Purpura, Thrombotic Thrombocytopenic ; epidemiology ; Young Adult

Objective To identify the influencing factors for pediatric nursese' reporting of adverse events at 3A hospitals in Beijing. Methods Adopting the random sampling of ten 3A hospitals with pediatric wards in Beijing and conducting an questionnaire survey of some nurses in those hospitals. Results The possibility of adverse events reporting increased with the awareness of adverse events which was related with their severity. Except for title, educational background, length of service, position and past experiences were not associated with the barriers. The major perceived barrier was fear of colleague relationship brokenup and some other undesirable consequence. Conclusions Better training of awareness of adverse events and changes of the punitive culture by the roots as well as some regulation or policy were the major solutions to improve incident reporting.

Objective To investigate the mechanism of Chinese herbal medicine compound (Kaiyuqingwei Decoction) improving islet cells function of type 2 diabetes. Methods The models of type 2 diabetic rats were established by feeding with high-fat-diet and injecting low dosage of streptozotocin (15 mg/kg BW). Rats were randomly divided into model group, Kaiyuqingwei group, and Rosiglitazone group and normal control was established, at the same time, fasting and post-glucose loading 2 hours blood glucose, serum fructosamine and basal insulin were determined. Euglycemic hyperinsulin clamp technique was adopted to evaluate insulin sensitivity of periphery tissues, and intravenous glucose tolerance test to evaluate islets function. Adopting immunohistochemistry stain (EnVision) and computer image analysis technique to determine the expression of insulin, insulin receptor and insulin receptor substrate-1 in islets. Results There were insulin resistance, dysfunction of islet cells and obvious increase of blood glusose in model rats. All these could be improved by Kaiyuqingwei Decoction and Rosiglitazone. Meanwhile, immunohistochemistry stain of islets demonstrated that Kaiyuqingwei Decoction could increase expression of IRc and IRS-1. Conclusion Kaiyuqingwei Decoction have a certain positive role in improving glucose metabolism of type 2 diabetic rats. The mechanism include two aspects, one is elevation of insulin sensitivity, another is amelioration of dysfunction of islet cells. One of the important mechanisms of amelioration of dysfunction in islet cells is amelioration of insulin signal transduction in pancreatic islets.

Objective To research the best extracting technology of simiaoyongan decoction.Methods As the total contents of chlorogenic acid and harpagoside to be evaluation indicator, adopted L9 (34 ) orthogonal design to select out the best extraction.The main determination was by HPLC method.Results Accounted by the total contents of the two composi-tions, the influential effects of the experimental results were extraction solvent >reflux times >the volume of extraction>the circumfluence time.Conclusion The best extracting technology is adding 10-fold times of 50% alcohol, percolating 1 hours, and three times.

[Summary] Limb numbness is a common symptom of diabetic peripheral neuropathy(DPN),which is similar to lumbar vertebra disease and spinal cord tumor compression syndrome. Diabetes mellitus (DM) combined with lumbar spondylosis and spinal cord tumor compression is rarely occurred and is difficult to distinguish from DPN . Here we reported a case of DM combined with spinal neurilemoma that was misdiagnosed as DPN for half a year.

Objective To explore the method and performance of using multiple indices to diagnose sepsis and to predict the prognosis of severe ill patients.Methods Critically ill patients at first admission to intensive care unit (ICU) of Changzheng Hospital, Second Military Medical University, from January 2014 to September 2015 were enrolled if the following conditions were satisfied: ① patients were 18-75 years old;② the length of ICU stay was more than 24 hours; ③ All records of the patients were available. Data of the patients was collected by searching the electronic medical record system. Logistic regression model was formulated to create the new combined predictive indicator and the receiver operating characteristic (ROC) curve for the new predictive indicator was built. The area under the ROC curve (AUC) for both the new indicator and original ones were compared. The optimal cut-off point was obtained where the Youden index reached the maximum value. Diagnostic parameters such as sensitivity, specificity and predictive accuracy were also calculated for comparison. Finally, individual values were substituted into the equation to test the performance in predicting clinical outcomes.Results A total of 362 patients (218 males and 144 females) were enrolled in our study and 66 patients died. The average age was (48.3±19.3) years old. ① For the predictive model only containing categorical covariants [including procalcitonin (PCT), lipopolysaccharide (LPS), infection, white blood cells count (WBC) and fever], increased PCT, increased WBC and fever were demonstrated to be independent risk factors for sepsis in the logistic equation. The AUC for the new combined predictive indicator was higher than that of any other indictor, including PCT, LPS, infection, WBC and fever (0.930 vs. 0.661, 0.503, 0.570, 0.837, 0.800). The optimal cut-off value for the new combined predictive indicator was 0.518. Using the new indicator to diagnose sepsis, the sensitivity, specificity and diagnostic accuracy rate were 78.00%, 93.36% and 87.47%, respectively. One patient was randomly selected, and the clinical data was substituted into the probability equation for prediction. The calculated value was 0.015, which was less than the cut-off value (0.518), indicating that the prognosis was non-sepsis at an accuracy of 87.47%. ② For the predictive model only containing continuous covariants, the logistic model which combined acute physiology and chronic health evaluation Ⅱ (APACHE Ⅱ) score and sequential organ failure assessment (SOFA) score to predict in-hospital death events, both APACHE Ⅱ score and SOFA score were independent risk factors for death. The AUC for the new predictive indicator was higher than that of APACHE Ⅱ score and SOFA score (0.834 vs. 0.812, 0.813). The optimal cut-off value for the new combined predictive indicator in predicting in-hospital death events was 0.236, and the corresponding sensitivity, specificity and diagnostic accuracy for the combined predictive indicator were 73.12%, 76.51% and 75.70%, respectively. One patient was randomly selected, and the APACHE Ⅱscore and SOFA score was substituted into the probability equation for prediction. The calculated value was 0.570, which was higher than the cut-off value (0.236), indicating that the death prognosis at an accuracy of 75.70%.Conclusion The combined predictive indicator, which is formulated by logistic regression models, is superior toany single indicator in predicting sepsis or in-hospital death events.