Objective:To make an individual phantom that was printed by using three dimension(3D)technique,which could reflect the real situation of patient,and to analyze the computed tomography(CT)value and dose distribution of radiotherapy on each organ of the inside of the 3D-printed individual phantom.Methods:According to the localization of CT image of the patient,the empty shell of 3D structure of each organ were reconstructed and printed by using 3D technique.The CT value was used as basis to select the equivalent material of each organ to perform fill,which could obtain the individual phantom of chest that could appear the structural characteristics of patient.The treatment plan of patients were included in treatment plan group,and the plans which were transplanted to 3D-printed individual phantom from treatment plan of patients were included in phantom plan group.The dosimetric parameters of the plans of two groups were compared.Results:The average CT values of left and right lung,soft tissue,cancellous bone,compact bone and heart of the phantom plan group were respectively-709,-737,14,144,760 and 28 HU.The errors of the all CT values between phantom images and located images of patients were less than 16.7%.The exposure doses of normal tissues of radiotherapy plans on the images of two groups could meet the clinical requirements.The minimum dose(Dmin),mean dose(Dmean),the corresponding doses of 98%,50% and 2% target volumes(D98%,D50% and D2%),conformity index(CI),homogeneity index(HI),monitor unit(MU)of dosimetric parameters of the target region could meet the clinical requirements without statistically significant differences.There was significant differences in the maximum dose(Dmax)of the target region(t=2.678,P＜0.05).Among of these Dmax values,the Dmax value of phantom plan group was larger,which was(56.97±0.32)Gy.Conclusion:The CT value,tissue structure and spatial distribution of the phantom,which is finally designed,can emulate the chest of human body in radiotherapy.It has verified the feasibility that 3D-printed phantom is applied in measuring dose in the quality assurance of radiotherapy.

Objective:To explore the spatial and temporal distribution patterns of emerging snail-infested sites in different environmental types in Yunnan Province.Methods:The data of snail-infested sites in Yunnan Province from 1950 to 2014 (from Yunnan Institute for Endemic Diseases Control and Prevention), were collected and sorted out, a spatial and temporal database on the distribution of emerging snail-infested sites were established, and the changes in the spatial and temporal distribution of emerging snail-infested sites in different environments types (ditches, tangerines, paddy fields, dry land, beaches and other environments) were studied by using spatial autocorrelation analysis and scanning statistics analysis.Results:From 1950 to 2014, the annual number of emerging snail-infested sites in Yunnan Province reached a peak (1 730) in 1955 and then showed a fluctuating downward trend. From 1993 to 2014, the number of emerging snail-infested sites remained below 100, and increased to 160 and 131, respectively, in 2004 and 2013. The longest mean duration of 43.85 years was recorded for the beaches environment for emerging snail-infested sites, followed by the paddy fields environment with a mean duration of 37.01 years, and the shortest mean duration of 20.44 years for the tangerines environment. Spatial autocorrelation analysis showed that there was a positive spatial correlation between the duration of emerging snail-infested sites of different environmental types (global Moran's I ranged from 0.43 to 0.64, P < 0.05). Scanning statistics analysis showed that emerging snail-infested sites of different environmental types had spatial and temporal aggregation ( P < 0.001), with 3- 6 clusters of statistically significant aggregation detected respectively. Conclusion:The emerging snail-infested sites in different environments types in Yunnan Province have spatial and temporal aggregation, and it is necessary to strengthen monitoring and prevention and control of the aggregation areas of different environment types to prevent further spread of the snail.

Objective To optimize the culture and fermentation conditions of the Penicillium aurantiocandidum Z12 strain, a fungal strain with molluscicidal actions against Oncomelania hupensis, so as to provide the basis for the research and development of molluscicidal active substances from the P. aurantiocandidum Z12 strain and its fermentation broth and large-scale fermentation. Methods The carbon source, nitrogen source and mineral salts were identified in the optimal culture medium for the P. aurantiocandidum Z12 strain with a single-factor experiment to determine the best fermentation condition for the P. aurantiocandidum Z12 strain. Factors that significantly affected the growth of the P. aurantiocandidum Z12 strain were identified using the Plackett-Burman design, and the best range of each factor was determined using the steepest climb test. Response surface analyses of temperature, pH value, seeding amount and liquid-filling quantity were performed using the Box-Behnken design to create a regression model for fermentation of the P. aurantiocandidum Z12 strain to identify the optimal culture medium. Results Single-factor experiment preliminarily identified the best culture medium and conditions for the P. aurantiocandidum Z12 strain as follows: sucrose as the carbon source at approximately 20 g/L, tryptone as the nitrogen source at approximately 5 g/L, K₂HPO₄ as the mineral salt at approximately 5 g/L, initial pH at approximately 8, temperature at approximately 28 °C, seeding amount at approximately 6%, and liquid-filling quantity at approximately 50 mL/100 mL. Plackett-Burman design showed that factors that significantly affected the growth of the P. aurantiocandidum Z12 strain included temperature (t = −5.28, P < 0.05), seeding amount (t = 5.22, P < 0.05), pH (t = −4.30, P < 0.05) and liquid-filling quantity (t = −4.39, P < 0.05). Steepest climb test showed the highest mycelial growth at pH of 7.5, seeding amount of 8%, and liquid-filling quantity of 40 mL/100 mL, and this condition was selected as the central point of response surface analysis for the subsequent optimization of fermentation conditions. Response surface analyses using the Box-Behnken design showed that the optimal conditions for fermentation of the P. aurantiocandidum Z12 strain included sucrose at 15 g/L, tryptone at 5 g/L, K₂HPO₄ at 5 g/L, temperature at 28.2 °C, pH at 7.5, seeding amount at 10%, and liquid-filling quantity at 35.8 mL/100.0 mL, resulting in 0.132 g yield of the P. aurantiocandidum Z12 strain. Conclusion The optimal culture condition for the P. aurantiocandidum Z12 strain has been identified, and the optimized culture medium and fermentation condition may effectively improve the fermentation yield of the P. aurantiocandidum Z12 strain.

Objective: To describe the sickness absenteeism among primary and secondary school students in Jiading District and to analyze its correlation with the incidence of infectious diseases and associated lead or lag times, so as,to provide a scientific basis for the health and education departments to take measures. Methods: The regularity and symptom composition of school sickness absenteeism among primary and secondary school students in Jiading District from the 2010-2017 were described. The Joinpoint model was applied to analyze the changing trend of absenteeism. And the rate of school sickness absenteeism and incidences of 7 acute infectious diseases were compared through visual analysis. The time lagged correlation coefficients and Granger causality tests were applied to quantitatively analyze the correlation and lead/lag patterns. Results: The average rate of school sickness absenteeism among primary and secondary school students in Jiading District, Shanghai was 0.27%. Since the 2012 academic year, the overall rate of sickness absenteeism has been on the rise. Fever was the most common symptom of absenteeism (47.49%). The trend of sickness absenteeism rate was mainly consistent with the incidence of influenza, and showed a one way Granger causality. The maximum time lagged correlation coefficient was obtained in the second semester of the 2017 academic year with a value of 0.43 (95% CI =0.25-0.58). The maximum time lagged correlation coefficient between the rate of sickness absenteeism with fever and other respiratory symptoms and the incidence of influenza was also obtained in the second semester of the 2017 academic year and the maximum correlation coefficient was 0.50(95% CI =0.33-0.65). Conclusion The sickness absenteeism rate in primary and secondary school students is correlated to influenza incidence, and it has potential application value in supplementing early warning of influenza activities in the community.

Osteoporotic vertebral compression fracture (OVCF) can lead to lower back pain and may be even accompanied by scoliosis, neurological dysfunction and other complications, which will affect the daily activities and life quality of patients. Vertebral augmentation is an effective treatment method for OVCF, but it cannot correct unbalance of bone metabolism or improve the osteoporotic status, causing complications like lower back pain, limited spinal activities and vertebral refracture. The post-operative systematic and standardized rehabilitation treatments can improve curative effect and therapeutic efficacy of anti-osteoporosis, reduce risk of vertebral refracture, increase patient compliance and improve quality of life. Since there still lack relevant clinical treatment guidelines for postoperative rehabilitation treatments following vertebral augmentation for OVCF, the current treatments are varied with uneven therapeutic effect. In order to standardize the postoperative rehabilitation treatment, the Spine Trauma Group of the Orthopedic Branch of Chinese Medical Doctor Association organized relevant experts to refer to relevant literature and develop the "Guideline for postoperative rehabilitation treatment following vertebral augmentation for osteoporotic vertebral compression fracture (2022 version)" based on the clinical guidelines published by the American Academy of Orthopedic Surgeons (AAOS) as well as on the principles of scientificity, practicality and advancement. The guideline provided evidence-based recommendations on 10 important issues related to postoperative rehabilitation treatments of OVCF.

Objective: To explore the association between the exposure to major air pollutants in pre-pregnancy and early pregnancy (peri-conceptional period) and gestational diabetes mellitus (GDM). Methods: From March 2015 to April 2018, 4 817 pregnancies were recruited at three prenatal check-ups hospital in Hefei (Hefei First People′s Hospital, Hefei. Maternal and Child Care Hospital and the First Affiliated Hospital of Anhui Medical University), China. Questionnaire was used to collect the demographic data, the health status and lifestyle of pregnant women. GDM was diagnosed according to the Chinese Guidelines for the Prevention and Treatment of Type 2 Diabetes (2017 Edition). Logistic regression was used to investigate the association of exposure to major air pollutants (PM_2.5, PM₁₀, SO₂, CO and NO₂) during different periods of pre-pregnancy (12 weeks before pregnancy) and first trimester (12 weeks after last menstruation) and duration of exposure to high levels of pollutants with GDM. Results: The mean±SD of the age of subjects was (29.14±4.19) years old and the prevalence of GDM was 21.4% (n=1 030). The results of multivariate logistic regression analysis showed that after adjusting for confounding factors, the risk of GDM increased gradually with the prolonged exposure time of high-concentration pollutants compared with pregnant women who were not exposed to high pollution during the pre-pregnancy (χ²=61.28, P_trend<0.001) with the OR (95%CI) values for exposure time of 1, 2, and 3 months about 1.42 (1.10-1.84), 1.73 (1.29-2.33), and 2.51 (1.75-3.59), respectively. In the pre-pregnancy period, in every 10 μg/m³ increase of PM_2.5 and PM₁₀, the OR (95%CI) values of GDM were 1.14 (1.08-1.20) and 1.13 (1.08-1.19), respectively; for each increase of 1 μg/m³ and 0.10 mg/m³ of SO₂ and CO, the OR (95% CI) values of GDM were 1.03 (1.01-1.05) and 1.07 (1.01-1.13), respectively. For every 1 μg/m³ increase in the average concentration of SO₂ in the first trimester, the OR (95%CI) value of GDM was 1.02 (1.01-1.05). Conclusion PM_2.5, PM₁₀, SO₂ and CO exposure during the pre-pregnancy and SO₂ exposure in first trimester were positively correlated with the risk of GDM.

To explore the association between the exposure to major air pollutants in pre?pregnancy and early pregnancy (peri?conceptional period) and gestational diabetes mellitus (GDM). Methods From March 2015 to April 2018, 4 817 pregnancies were recruited at three prenatal check?ups hospital in Hefei (Hefei First People′s Hospital, Hefei. Maternal and Child Care Hospital and the First Affiliated Hospital of Anhui Medical University), China. Questionnaire was used to collect the demographic data, the health status and lifestyle of pregnant women. GDM was diagnosed according to the Chinese Guidelines for the Prevention and Treatment of Type 2 Diabetes (2017 Edition). Logistic regression was used to investigate the association of exposure to major air pollutants (PM2.5, PM10, SO2, CO and NO2) during different periods of pre?pregnancy (12 weeks before pregnancy) and first trimester (12 weeks after last menstruation) and duration of exposure to high levels of pollutants with GDM. Results The mean±SD of the age of subjects was (29.14±4.19) years old and the prevalence of GDM was 21.4% (n=1 030). The results of multivariate logistic regression analysis showed that after adjusting for confounding factors, the risk of GDM increased gradually with the prolonged exposure time of high?concentration pollutants compared with pregnant women who were not exposed to high pollution during the pre?pregnancy (χ2=61.28, Ptrend<0.001) with the OR (95% CI ) values for exposure time of 1, 2, and 3 months about 1.42 (1.10-1.84), 1.73 (1.29-2.33), and 2.51 (1.75-3.59), respectively. In the pre?pregnancy period, in every 10 μg/m3 increase of PM2.5 and PM10, the OR (95%CI) values of GDM were 1.14 (1.08-1.20) and 1.13 (1.08-1.19), respectively;for each increase of 1 μg/m3 and 0.10 mg/m3 of SO2 and CO, the OR (95% CI) values of GDM were 1.03 (1.01-1.05) and 1.07 (1.01-1.13), respectively. For every 1 μg/m3 increase in the average concentration of SO2 in the first trimester, the OR (95%CI) value of GDM was 1.02 (1.01-1.05). Conclusion PM2.5, PM10, SO2 and CO exposure during the pre?pregnancy and SO2 exposure in first trimester were positively correlated with the risk of GDM.

To explore the association between the exposure to major air pollutants in pre?pregnancy and early pregnancy (peri?conceptional period) and gestational diabetes mellitus (GDM). Methods From March 2015 to April 2018, 4 817 pregnancies were recruited at three prenatal check?ups hospital in Hefei (Hefei First People′s Hospital, Hefei. Maternal and Child Care Hospital and the First Affiliated Hospital of Anhui Medical University), China. Questionnaire was used to collect the demographic data, the health status and lifestyle of pregnant women. GDM was diagnosed according to the Chinese Guidelines for the Prevention and Treatment of Type 2 Diabetes (2017 Edition). Logistic regression was used to investigate the association of exposure to major air pollutants (PM2.5, PM10, SO2, CO and NO2) during different periods of pre?pregnancy (12 weeks before pregnancy) and first trimester (12 weeks after last menstruation) and duration of exposure to high levels of pollutants with GDM. Results The mean±SD of the age of subjects was (29.14±4.19) years old and the prevalence of GDM was 21.4% (n=1 030). The results of multivariate logistic regression analysis showed that after adjusting for confounding factors, the risk of GDM increased gradually with the prolonged exposure time of high?concentration pollutants compared with pregnant women who were not exposed to high pollution during the pre?pregnancy (χ2=61.28, Ptrend<0.001) with the OR (95% CI ) values for exposure time of 1, 2, and 3 months about 1.42 (1.10-1.84), 1.73 (1.29-2.33), and 2.51 (1.75-3.59), respectively. In the pre?pregnancy period, in every 10 μg/m3 increase of PM2.5 and PM10, the OR (95%CI) values of GDM were 1.14 (1.08-1.20) and 1.13 (1.08-1.19), respectively;for each increase of 1 μg/m3 and 0.10 mg/m3 of SO2 and CO, the OR (95% CI) values of GDM were 1.03 (1.01-1.05) and 1.07 (1.01-1.13), respectively. For every 1 μg/m3 increase in the average concentration of SO2 in the first trimester, the OR (95%CI) value of GDM was 1.02 (1.01-1.05). Conclusion PM2.5, PM10, SO2 and CO exposure during the pre?pregnancy and SO2 exposure in first trimester were positively correlated with the risk of GDM.

Objective In order to play the role of pathological network management system better in pathological examination, this study explore the present status of new pathology network management system, give an objective evaluation for the operation condition, reveal the effectiveness and the existing problems of this system, and provide reference for its development and improvement.Methods The software of pathological network management system was applied to the pathological specimen reception, patient information and examination status query, pathological diagnosis and technology process, as well as the paraffin block archive, statistical analysis, data recording, and so on.At last, we recorded all the information and made a classification and arrangement.Results Pathological network management system was running normally through the whole process of pathologic examination, including specimen receiving, all examinations, print of pathological applications and spontaneous print of pathological reports in ward, which really achieve one-stop services.But the system has unstable phenomenon occasionally.Conclusion Pathological network management system links each examination process closely, which can improve the work efficiency, and provide scientific basis for pathology quality control.

Objective To explore the efficacy of early aggressive debridement with implant retention, primary wound clo-sure, closed suction drain without irrigation and antibiotic therapy for the treatment of delayed deep infection after spinal fixation. Methods 4057 patients were underwent dorsal spinal fixation from January 2010 to June 2014. Among them, 42 cases of de-layed deep infection after operation were included in the study. There were 25 males and 17 females, with an average age of 68.6± 8.1 years (ranged from 53 to 83 years). The diagnosis of delayed deep infection was based on the time of onset, clinical symptoms and signs, imaging and laboratory findings. Surgical debridement was performed immediately after diagnosis of infection. In addi-tion, devitalized and necrotic tissue and biofilms which adhered to the surface of the implant were removed meticulously and thor-oughly. Primary wound closure was performed in each patient, and closed suction drains were maintained for about 7-10 d without irrigation. Routine sensitive antimicrobial drugs was applied for 3 months after operation. Results 42 cases were all followed up for 24 to 72 months with an average of 46 months. Among the 42 infected patients, 3 patients were underwent posterior cervical spine surgery and 39 patients were underwent posterior lumbar spine surgery. There were 13 cases of staphylococcus aureus infec-tion, 7 cases of escherichia coli infection, 3 cases of ESBL escherichia coli infection, 3 cases of enterobacter cloacae infection, 2 cases of MRSA, 2 cases of acinetobacter baumannii infection, 2 cases of klebsiella pneumoniae infection, 1 case in enterococcus faecium and pseudomonas aeruginosa and staphylococcus haemolyticus, respectively. There were still 7 patients with negative bacterial culture. 41 cases retained their implant, whereas 1 staphylococcus aureus infection patient had the implants removed be-cause of loosening during debridement. Nevertheless, primary wound healing was found in all patients, and stitches were removed 2 to 3 weeks after debridement. Infections were effectively controlled with no recurrence of infection during the follow-up. The av-erage erythrocyte sedimentation rate was (65.76±20.08) mm/h preoperative, (41.43±14.65) mm/h 1 month postoperative, (10.81±2.72) mm/h 6 months postoperative, and (8.10±5.46) mm/h 12 months postoperative, respectively, the differences were statistically significant. The average C reactive protein was (40.55±16.91) mg/L preoperative, (6.50±2.46) mg/L 1 month postoperative, (4.31± 1.26) mg/L 6 months postoperative, and (3.83±1.50) mg/L 12 months postoperative, respectively, the differences were statistically significant. The average procalcitonin was (0.47±0.28) ng/ml preoperative, (0.08±0.06) ng/ml 1 month postoperative, (0.06±0.03) ng/ml 6 months postoperative, and (0.05±0.00) ng/ml 12 months postoperative, respectively, and the differences were statistically significant. Conclusion A timely diagnosis, aggressive and meticulous debridement, high vacuum closed-suction drain, routine and adequate use of antibacterial agents are keys to successfully resolving infection and maintaining implant retention in the treat-ment of delayed deep infection after spinal fixation.