With the development of payment system reform for New Rural Cooperative Medical Scheme, inpatient case-based payment reform had been exploring in local counties. Based on the case study of one county in central China and synthesis of international evidences and experiences, to introduce the disease grouping principles, the cost calculating method, and the control measures of case-based payment mechanism by case-mix and provide significant lessons for other counties’ design and implementation of inpatient case-based payment reform.

Objective:To explore grouping methods of subdividing adjacent diagnosis related groups(DRGs) by introducing patient clinical complexity level(PCCL) principle and provide references for exploring DRG grouping method in line with context in China.Methods:Clinical complexity level of each complication was assigned by clinicians.PCCL model was selected to calculate the scores of clinical complexity cases.Each adjacent DRG was subdivided into DRG groups by classification and regression trees(CART) model.The rank-sum test was applied to test the statistical significances of the grouping results.Results:9 surgical adjacent DRGs were subdivided into 18 DRG groups.There were statistical significances in the differences of hospitalization expenses and length of stay among different DRG groups in each adjacent group.Conclusion:PCCL model showed high performance in DRG subdivision.The unification of the quality of medical records and coding were the key factors to ensure the reasonable grouping results.

BACKGROUND:Radiation-induced brain injury has recently become an increasing area of research, in particular in animal experimental studies. Domestic and international researches show that there have been no uniform scanning parameters used for examination of animal models of radiation-induced brain injury by magnetic resonance imaging. In this study, we performed magnetic resonance imaging in rabbits to determine related sequence parameters. OBJECTIVE:To establish the New Zealand rabbit models of radiation-induced brain injury, and obtain the brain magnetic resonance images of rabbits using LOOP7 coil, so as to provide experimental evidence for diagnosis of radiation-induced brain injury by magenetic resonance imaging. METHODS:Each of T2-weighted imaging, diffusion tensor imaging, magnetic resonance spectroscopy and magnetic susceptibility-weighted imaging were performed several times through the use of LOOP7 coil, to determine the optimal scanning parameters for each sequence. Rabbit models of radiation-induced brain injury were established and then their right hemispheres were irradiated using 6 MV X-rays at a single dose of 40, 80 and 120 Gy. The daily performance and dynamic magnetic resonance signs of rabbits were observed. The brain tissue was taken for pathological examination once abnormal magnetic resonance findings were observed or after 20 weeks of folow-up. RESULTS AND CONCLUSION:Only one rabbit model in the 40 Gy group had subdural hemorrhage. In the 80 Gy group, abnormal T2-weight imaging signals were observed in al rabbit models, which were pathologicaly confirmed as scattered degenerated neurons and infiltrated neutrophils. The abnormal signals that gradualy expanded over time were seen in rabbits from the 120 Gy group by magnetic resonance imaging and were pathologicaly confirmed as radiation-induced brain injury loci. The results confirm that establishing rat models of radiation-induced brain injury using radiation therapy system can better simulate the pathological process of radiation-induced brain injury; moreover, this model can be applied to receive routine magnetic resonance examination with LOOP7 coil.

This paper reports a case of melanotic neuroectodermal tumor of infancy (MNTI)arising in the maxilla of a 3-month-old male infant.The treatment included surgical excision of the lesion with safe margin,curettage of the maxilla and removal of associated developing tooth bud.Microscopically,it proved to be a dual tumor with small,neuroblastic-like cells and larger epithelial cells.Immunohistochemical staining demonstrated epitheloid cells HMB45(+),EMA(+),CK(+);neuroblast-like cells NSE(+),GFAP(+),S-100(+),but both cells Vim(+),CD45(-),Myogenin(-).The 18-mouth follow-up showed no recurrence or metastasis.The related literature was re-viewed.

Objective To study the effect of transcatheter arterial chemoembolization(TACE) combined with three-dimensional conformal radiotherapy(3DCRT) for inoperable primary liver cancer.Methods Ninety-six such patients were prospectively randomized to TACE therapy alone group(TACE group-,47 patients) and TACE+3DCRT group(combined group-,49 patients).Results The overall 1-,2-,3-year survival rate was 82%,63%,43% in the combined group.It was 55%,28%,15% in the TACE group.The difference between the two groups was significant(P0.05).Conclusion Transcatheter arterial chemoembolization combined with three-dimensional conformal radiotherapy is more effective than transcatheter arterial chemoembolization therapy alone for inoperable primary liver cancer,without inflicting more treatment-related toxicities.

Objective To investigate the effects of anaesthetic concentration of sevoflurane on TM3 mouse leydig cell viability.Methods TM3 mouse leydig cells were randomly divided into 3 groups ( n =24 dishes each):control group (group C),2％ and 5％ sevoflurane groups (groups SEV1 and SEV2 ).The cells were collected after being exposed to sevoflurane or 95 ％ room air + 5 ％ CO2 for 2,4 or 6 h (T1-3) for microscopic examination with optical binocular inverted microscope.The number of live cells was counted by using cell counting kit8.Gene chips were used to indentify differentially expressed genes between group C and group SEV2 after being exposed to air and 5 ％ sevoflurane for 6 h respectively.Results The leydig cell viability was significantly decreased at T3 in group SEV2 as compared with groups C and SEV1.Morphological changes were found only in group SEV2.A total of 45 genes were identified to be differentially expressed in group SEV2 as compared with group C.The level of expression of prostaglandin-endoperoxidase synthase 2 gene (Ptgs2),chemokine (C-C motif) ligand 2(CCL2) gene and dual specificity phosphatase1 (Dusp1) gene increased by at least 4 times in group SEV2.Conclusion Sevoflurane can inhibit the cell viability of TM3 mouse leydig cell in concentration dependent manner through abnormal expression of Ptgs2,CCL2 and Dusp1 genes.

Objective: To explore the role of MRI in the pre-operative diagnosis and classification of oblique vaginal septum syndrome (OVSS) . Methods: A retrospective analysis of the clinical records and pre-operative MRI images of 19 patients with surgery proved OVSS was carried out. Two experienced radiologists reviewed the pre-operative pelvic MRI of the 19 patients in consensus blind to the surgery results. Characteristics including malformations of the uterus, cervix and vagina, the diagnosis of the disorder and classification were evaluated. Pre-operative MRI diagnosis and classification were correlated with surgical findings. Results: Mean age of onset of symptoms for the 19 patients was 15 years (ranged 9-25 years) , and mean age of menarche was 12 years. Ten patients suffered from dysmenorrhea or lower abdominal pain, 5 patients complained of vaginal discharge, 3 patients had a history of irregular menstruation, 1 patient suffered from primary infertility. All 19 patients showed uteri didelphys. Eighteen patients showed vaginal oblique septum.One patient showed cervical atresia.MRI was completely correlated with the surgery in the pre-operative diagnosis of OVSS. MRI classification was in line with surgery in 17 patients, including 9 patients with imperforate septum (typeⅠ) , 6 patients with perforate septum (type Ⅱ) , 1 patient with imperforate septum and cervical fistula (type Ⅲ) , and another one with cervical agenesis (type Ⅳ) . One case of type Ⅱ was misdiagnosed as type Ⅰ, another one of type Ⅰ was misdiagnosed as type Ⅲ. Pre-operative MRI classification was correlated with surgery in 17 out of 19 patients. Conclusion Pre-operative MRI allows excellent manifestation and accurate diagnosis of OVSS, and could also facilitate the evaluation of the classification.

In order to solve the current problems in medical equipment maintenance, this study proposed an intelligent fault diagnosis method for medical equipment based on long short term memory network(LSTM). Firstly, in the case of no circuit drawings and unknown circuit board signal direction, the symptom phenomenon and port electrical signal of 7 different fault categories were collected, and the feature coding, normalization, fusion and screening were preprocessed. Then, the intelligent fault diagnosis model was built based on LSTM, and the fused and screened multi-modal features were used to carry out the fault diagnosis classification and identification experiment. The results were compared with those using port electrical signal, symptom phenomenon and the fusion of the two types. In addition, the fault diagnosis algorithm was compared with BP neural network (BPNN), recurrent neural network (RNN) and convolution neural network (CNN). The results show that based on the fused and screened multi-modal features, the average classification accuracy of LSTM algorithm model reaches 0.970 9, which is higher than that of using port electrical signal alone, symptom phenomenon alone or the fusion of the two types. It also has higher accuracy than BPNN, RNN and CNN, which provides a relatively feasible new idea for intelligent fault diagnosis of similar equipment.
Algorithms ; Electricity ; Memory, Short-Term ; Neural Networks, Computer

Aiming at the dilemma of expensive and difficult maintenance, lack of technical data and insufficient maintenance force for modern medical equipment, an intelligent fault diagnosis expert system of multi-parameter monitor based on fault tree was proposed in this study. Firstly, the fault tree of multi-parameter monitor was established and analyzed qualitatively and quantitatively, then based on the analysis results of fault tree, the expert system knowledge base and inference engine were constructed and the overall framework of the system was determined, finally the intelligent fault diagnosis expert system for multi-parameter monitor was developed by using the page hypertext preprocessor (PHP) language, with an accuracy rate of 80% in fault diagnosis. The results showed that technology fusion on the basis of fault tree and expert system can effectively realize intelligent fault diagnosis of multi-parameter monitors and provide troubleshooting suggestions, which can not only provide experience accumulation for fault diagnosis of multi-parameter monitors, but also provide a new idea and technical support for fault diagnosis of medical equipment.
Expert Systems ; Monitoring, Physiologic

Objective: To study the effect of low-to-moderate dose glucocorticoid therapy on viral clearance time in patients with COVID-19. Methods: A total of 72 patients diagnosed with COVID-19 from January 19 to February 17, 2020 at the First Affiliated Hospital, School of Medicine, Zhejiang University were recruited. All patients received oral abidol and/or combined lopinavir/ritonavir, darunavir antiviral, and symptomatic supportive care. Among them, 51 patients received methylprednisolone (0.75-1.50 mg·kg^-1·d^-1) (glucocorticoid treatment group), and 21 patients who did not use glucocorticoid were the control group. The time of stable virologic conversion insputumand the time of radiologic recovery in lungsince onset were compared between the two groups and among the normal patients.The Kruskal-Wallis test or Fisher exact test was used to compare the difference between groups. Results: The median ages of the glucocorticoid group and the control group were 52 [interquartile range (IQR):45, 62] years and 46 (IQR: 32, 56)years, and the differences were significant (P<0.05). The clinical conditions at hospital admission were different between the two groups (P<0.01). There were 52.0% critical ill patients in the glucocorticoid treatment group, compared to that of 71.4% normal patients in the control group. The median times from the onset tostable virologic conversion to negative in the two groups were 15 (IQR:13,20) days and 14 (IQR:12,20) days (P>0.05), and the difference was no statistically significant. The median times from onset to radiologic recovery were 13 (IQR: 11,15) days and 13 (IQR:12,17) days in the two groups, and there was no difference (P>0.05). In ordinary patients, the median timesfrom the onset tostable virologic conversion insputum were no difference (P>0.05), with 13 (IQR:11,18) days in the glucocorticoid group and 13 (IQR:12,15) days in the control group; The median times from onset to radiologic recovery in lungwere also no difference (P>0.05), with 12 (IQR: 10,15)days in the glucocorticoid group and 13 (IQR: 12,17) days inthe control group. Conclusions Low-to-moderate glucocorticoid treatment has no effect on the time of virus clearance in patients with different clinical types of COVID-19. The glucocorticoid is not recommended since no effectiveness on accelerating the improvement of radiologic recovery in lung has been observed.