Bolar exception is a patent infringement exemption principle .The article explored the origin ( market failure ) of Bolar ex-ception from the view of government regulation theory , and introduced the production , development and application status of Bolar excep-tion in the world.At the same time, the Bolar exception clauses in our country were also introduced , and the relative regulations in time, place and application scope were discussed in order to provide reference for the perfection of Bolar exception in China .

Objective To investigate clinical effect of limited decompression under endoscope combined with percutaneous transpedicular screw fixation for treatment of degenerative lumbar spinal stenosis.Methods Thirty-four senile patients with lower lumbar spinal stenosis were selected as our subjects from February 2010 to August 2011,and were treated with limited decompression under endoscope combined with percutaneous transpedicular screw fixation through posterior approach.The VAS scores of all patients were collected at the four periods including pre-operation,leaving hospital,3 months after operation,and the last follow-up.The therapeutic effectiveness for the postoperative follow-up was expressed as excellent,good,ordinary,and poor according to Nakai standard.Results The VAS scores at pre-operation,leaving hospital,3 month after operation,and the last follow-up were (7.9 ± 1.6),(2.9 ± 1.4),(1.9 ± 1.9),(2.4 ± 1.5)respectively,and the difference was significant (F =13.524,P =0.036).But no significant differences of VAS scores at three sequential tests after operation were observed (P ＞ 0.05).In the last postoperative follow-up,32 cases were graded as excellent,1 cases for good and 1 case for ordinary,and the excellent rate reached to 97％.Conclusion The therapeutic effectiveness of lumbar spinal stenosis limited decompression under endoscope combined with percutaneous transpedicular screw fixation is reliable.Furthermore,no side effects on spine and back muscles are observed.

The paper studied the development opportunities and challenges faced by private hospitals during the ongoing health reform and reviewed the milestones of such hospitals in China.In addition,it compared the developments of both private hospitals and public hospitals since the reform,analyzed the advantages and disadvantages.Based on such analysis,the paper proposed such business strategies as group strategy and differentiation strategy,pointing the way for further development of private hospitals.

OBJECTIVE To provide reference for the access to medical insurance for rare diseases in China based on the existing access pathway and framework by analyzing the access policy of medical insurance for rare diseases in the United Kingdom （UK）. METHODS After collecting relevant guidelines and policy documents related to drug use for rare diseases in the UK， content analysis method was used to analyze the evaluation mechanism of drug use for rare diseases， reimbursement decision- making standards， stakeholder participation， coping strategies for dealing with uncertainties and risks， and policy implementation effects， and extract the key points of medical insurance access for drug use for rare diseases in the UK， to provide some suggestions for the establishment of medical insurance access system for rare diseases in China. RESULTS & CONCLUSIONS From the perspective of access， the UK had adopted a separate approach and clear criteria to assess and reimburse drugs for rare diseases. From the perspective of evaluation mechanism， multi-stakeholders such as doctors， patients and applicants participated in the decision-making process in the UK. The UK addressed uncertainty and risk by gathering better clinical evidence and using the patient access programme. After the implementation of the policy related to drug use for rare diseases， the UK had achieved remarkable results in terms of funding for drug use for rare diseases， the reimbursement rate of drug application， and the number of funded patients. It is suggested that in the process of establishing and improving the evaluation and reimbursement system for rare diseases drugs in China， the availability of rare diseases drugs should be improved by establishing a separate access assessment path for rare diseases drugs and involving more stakeholders.

Early distinction of bipolar disorder (BD) from major depressive disorder (MDD) is difficult since no tools are available to estimate the risk of BD. In this study, we aimed to develop and validate a model of oxidative stress injury for predicting BD. Data were collected from 1252 BD and 1359 MDD patients, including 64 MDD patients identified as converting to BD from 2009 through 2018. 30 variables from a randomly-selected subsample of 1827 (70%) patients were used to develop the model, including age, sex, oxidative stress markers (uric acid, bilirubin, albumin, and prealbumin), sex hormones, cytokines, thyroid and liver function, and glycolipid metabolism. Univariate analyses and the Least Absolute Shrinkage and Selection Operator were applied for data dimension reduction and variable selection. Multivariable logistic regression was used to construct a model for predicting bipolar disorder by oxidative stress biomarkers (BIOS) on a nomogram. Internal validation was assessed in the remaining 784 patients (30%), and independent external validation was done with data from 3797 matched patients from five other hospitals in China. 10 predictors, mainly oxidative stress markers, were shown on the nomogram. The BIOS model showed good discrimination in the training sample, with an AUC of 75.1% (95% CI: 72.9%-77.3%), sensitivity of 0.66, and specificity of 0.73. The discrimination was good both in internal validation (AUC 72.1%, 68.6%-75.6%) and external validation (AUC 65.7%, 63.9%-67.5%). In this study, we developed a nomogram centered on oxidative stress injury, which could help in the individualized prediction of BD. For better real-world practice, a set of measurements, especially on oxidative stress markers, should be emphasized using big data in psychiatry.
Biomarkers/metabolism* ; Bipolar Disorder/metabolism* ; Depressive Disorder, Major/diagnosis* ; Early Diagnosis ; Humans ; Oxidative Stress