Objective:To analyze the screening test results of people infected with human immunodeficiency virus (HIV) in the window period confirmed to be "negative" by Western blotting, with a view to finding a way to identify people infected with HIV during the window period as soon as possible.Methods:In the serum (plasma) samples of HIV-positive people screened by the fourth-generation chemiluminescent immunoassay in medical institutions at all levels in Pudong New District, Shanghai from 2014 to 2021, a total of 100 people (200 samples) were confirmed as "negative" and the fourth-generation enzyme-linked immunosorbent assay was screened positive. According to the follow-up results, it was divided into the early infection group (24 cases) and the uninfected group (76 people), and the fourth-generation rapid diagnostic test (RDT) was performed. The compliance rates of positive results of screening and follow-up were compared, and the epidemiological data of early HIV infections were analyzed. The chi-square test was used for statistical analysis.Results:Of the 200 samples, 48(24.00%) were early infected. A total of 106 samples antigens and (or) antibodies were positive by the fourth-generation RDT screening, and the compliance rate with the follow-up results was 45.28%(48/106), of which those of the fourth-generation RDT screening antigen positive and follow-up results were 100.00%(36/36), which was higher than the antibody positive results (24.68%(19/77)). The difference was statistically significant ( χ2=57.49, P<0.001). Of the 24 cases of early HIV infections, 19(79.2%) had acute symptoms. Only one out of six people≥50 years old had asked about the partner about his HIV status before engaging high-risk sex, and 13 out of 18 people <50 years old had asked the partners about their HIV status or to detect HIV before engaging high-risk sex. The difference was statistically significant ( χ2=5.71, P=0.017). Out of the six people ≥50 years old, only one actively tested HIV, and 12 out of 18 people <50 years old actively tested HIV, and the difference was statistically significant ( χ2=4.53, P=0.033). Conclusions:The Western blotting confirmed "negative" samples may be false negative. The comprehensive evaluation which combined with the fourth-generation screening test could help to screen out HIV window infection. In addition, the publicity, education and monitoring of high-risk population need to be further strengthened.

ObjectiveTo investigate the risk factors of anemia in HIV-infected patients receiving highly active antiretroviral therapy （HAART） in the Pudong New Area. MethodsA retrospective cohort study was conducted among HIV-infected patients who started HAART from 2005 to 2020 in Pudong New Area. Cox proportional hazards model was used to analyze the risk factors of anemia， moderate or severe anemia， and chronic anemia. The piecewise linear mixed-effect model was used to analyze the association between initial HAART classes and hemoglobin change in the follow-up. ResultsA total of 2 403 HIV-infected patients were included in the analysis. Among them， there were 357 cases of new onset anemia， 86 cases of chronic anemia and 102 cases of moderate or severe anemia， with the incidence density of 4.41/100 person years， 0.89/100 person years and 0.96/100 person years respectively. Multifactorial Cox regression analysis results showed that female， age >45 years， baseline CD4⁺ T lymphocyte count （CD4） <200 cells‧μL^-1， opportunistic infections， glomerular filtration rate （eGFR） <60 mL‧min^-1‧（1.73 m²）^-1， and zidovudine （AZT） or protease inhibitor （PIs） based regimens were associated factors for the development of anemia. Female， age >45 years， CD4 <200 cells‧μL^-1， opportunistic infections， and AZT-based regimens were associated with the development of chronic anemia. Mild anemia at baseline and AZT-based regimens were associated with the development of moderate or severe anemia. Linear mixed-effects model showed that the use of AZT （-7.87 g‧L^-1， 95%CI： -9.42 to -6.32） or PIs （-3.43 g‧L^-1， 95%CI： -5.57 to -1.30） was associated with lower Hb at follow-up. ConclusionInitial use of AZT and PIs is associated with progression to anemia and a lower follow-up hemoglobin level. Increased hemoglobin monitoring in users of AZT and PIs may be beneficial， especially during the first 6 months after initiation of HAART.

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

ObjectiveTo study the effect of organophosphate-solubilizing bacteria and compound bacteria on the photosynthesis and physiological and biochemical characteristics of leaves of Paris polyphylla var. yunnanensis， and to provide a reference for selecting suitable bacterial fertilizers in artificial cultivation of this medicinal species. MethodPot experiment was carried out indoor and the following groups were designed： control （CK）， inoculation with Bacillus mycoides （S1）， inoculation with B. wiedmannii （S2）， inoculation with B. proteolyticus （S3）， inoculation with B. mycoides and B. wiedmannii （S4）， inoculation with B. mycoides and B. proteolyticus （S5）， inoculation with B. wiedmannii and B. proteolyticus （S6）， and inoculation with B. mycoides， B. wiedmannii and B. proteolyticus （S7）. Then， the growth and development， photosynthesis， and various physiological and biochemical indexes of the leaves of this species were observed. ResultCompared with CK， the treatment groups showed decrease in content of malondialdehyde in the leaves （P<0.05）， particularly S7 （content was only about 1/3 that of the CK）. The leaf area， photosynthetic parameters， photosynthetic pigment content， soluble sugar content， soluble protein content， and activity of superoxide dismutase （SOD）， peroxidase （POD）， and catalase （CAT） in leaves of the treatment groups were all improved. Among them， the leaf area， soluble sugar content， and soluble protein content were the highest in S7， which were 2.8， 2.1， and 2.2 times that of the CK， respectively. SOD activity peaked in S6 （2.9 times higher than that in the CK） and the highest activity of POD and CAT was detected in S5 （1.5 times and 2.1 times， respectively higher than that in the CK）. ConclusionInoculation with different organophosphate-solubilizing bacteria or compound bacteria can promote the growth and development of P. polyphylla var. yunnanensis and improve its resistance to stresses. The combination of B. mycoides and B. proteolyticus and the combination of the three achieved the have the best effect. This study provides a reference for the selection of bacterial fertilizers for artificial cultivation of P. polyphylla var. yunnanensis.

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

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.

Objective:To study the effect of low-to-moderate dose glucocorticoid therapy on viral clearance 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, Zhejiang University School of Medicine were recruited. All patients received oral arbidol and combination of lopinavir/ritonavir or darunavir/cobistitat for antiviral therapy, 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 did not use glucocorticoid (control group). The time of virologic negative conversion in sputum and the time of radiologic recovery in lung since onset were compared between the two groups. 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 (45, 62) and 46 (32, 56) years ( χ2=4.365, P<0.05). The clinical conditions at hospital admission were different between the two groups ( P<0.01). The severe cases accounted for 52.0%, while moderate cases in the control group accounted for 71.4%. The median times from the onset to virologic negative conversion in the two groups were 15 (13, 20) and 14 (12, 20) days ( P>0.05). The median times from onset to radiologic recovery were 13 (11, 15) and 13 (12, 17) days in the two groups ( P>0.05). In moderate cases, the median times from the onset to virologic conversion in sputum were 13 (11, 18) days in the glucocorticoid group and 13 (12, 15) days in the control group ( P>0.05). The median times from onset to radiologic recovery in lung were 12 (10, 15) and 13 (12, 17) days, respectively ( P>0.05). Conclusions:Low-to-moderate glucocorticoid treatment has no effect on the time of virus clearance in patients with different clinical types of COVID-19, and also no effect on accelerating radiologic recovery in lung, so it is not recommended.

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.

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.