Objective To explore the dose-effect relationship and optimal concentration of sodium taurocholate (NaTc) to establish acute necrosis pancreatitis (ANP) complicating MODS in a rat. Methods 280 SD rats were randomly divided into control group (n =40) and 3.5%, 4%, 4.5%, 5% ANP group (n = 60, respectively). ANP groups were induced by retrograde injection of NaTc solution into the pancreatic duct of rats. Rats in each model group were sacrificed at 1, 3, 6, 12 and 24 h after the model induction. Serum amylase, serum total bilirubin, creatinine, blood gas analysis, and pathological changes of pancreas were determined. Survival rate at 24 h after the model induction was observed in other 20 ANP rats in each group. Results In each groups, the serum amylase level, creatinine, blood gas analysis and pathological changes all increased corresponding to the increase of NaTc, and there was significant dose-effect relationship and time-effect. In 4.5% group, the dysfunction of liver and kidney reached the peak at 6 h,while the respiratory dysfunction reached its peak at 12 h. Its incidence of MODS was 52.5%, which was significantly higher than those in 3.5%, 4.0% group (15.0% and 37.5%) ;and 24 h survival rate of 4.5% group was 65%, which was significantly higher than that in 5% group (30%). Conclusions 4.5% NaTc solution may be the optimal concentration to establish the ANP model, which had higher incidence of MODS and 24 h survival rate.

Objective To investigate the time-course change of intra-abdominal pressure (IAP), TNF-α in rat with acute necrotizing pancreatitis (ANP) and its mechanism. Methods 80 SD rats were randomly divided into ANP group and control group. ANP group was induced by retrograde injection of 4.5% sodium taurocholate into the pancreatic duct in SD rats, while control group was induced by injection of saline at the same dosage. Eight rats in each group were killed at 1 h, 3 h, 6 h, 12 h and 24 h, respectively. The serum levels of amylase, TNF-α were determined;IAP, amount of abdominal ascites, pancreatic pathologic changes were evaluated. Results The levels of amylase in ANP group increased progressively with time, which were 32-folds higher than those in control group at 24 h. The serum levels of TNF-α in ANP group reached the peak at 6 h, and were significantly higher than those in the control group. The amount of abdominal ascites increased post-ANP induction and reached the peak at 24 h, which was 4.7-folds higher than that in the control group. The IAP significantly increased 1 h after induction, which was 3 times as high as the control group in 3 h group and 9 times in 12 h group. Pathologic injuries deteriorated progressively and reached the peak at 24 h. Conclusions Significant IAP occurred in ANP rats and reached the peak at 12 h, TNF-α reached the peak at 6 h, therefore IAP may be the secondary response to inflammatory reaction.

BACKGROUND: Femoral head necrosis can be induced in adult rabbits when a large dose of steroid has been used for a long time. However, the pathogenesis of steroid-induced femoral head necrosis needs further study.OBJECTIVE: To probe into the mechanism of the disease by light microscope and transmission microscope from morphological perspective based on the model of femoral head necrosis in rabbits.DESIGN: A randomized controlled observation.SETTING: Laboratory of Morphology; Teaching and Research Division of Pathology; Laboratory of Surgery, Weifang Medical College.MATERIALS: The experiment was carried out at the Experimental Center of Morphology, Weifang Medical College, between March 2002 and March 2003. Totally 40 adult New Zealand white rabbits were randomly divided into control group (n=10), dexamethasone group (n=10) and horse serum group (n=20).METHODS: Control group was given intravenous injection of normal saline of 10 mL/(kg·d) for 7 consecutive days. Dexamethasone group was given intramuscular injection of dexamethasone of 10 mL/(kg ·d)for 7consecutive days. Horse serum group was given intravenous administration of horse serum of 10 mL/kg; 3 weeks later the same volume of horse serum was injected once again, followed intramuscular injection of dexamethasone of 10 mL/(kg·d)for 7 consecutive days. Inferior sections of cartilage of the femoral head necrosis in the experimental animals were obtained 5 and 10weeks later, and then histological and ultrastructural changes were observed under the light microscope and transmission microscope.MAIN OUTCOME MEASURES: ① Histo-morphological observation of the animals in each group. ② Ultrastructural changes.RESULTS: All the experimental animals survived and entered the result analysis. ① Histo-morphological observation: The cells of inferior sections of cartilage of the femoral head necrosis of the experimental animals in control group were arranged regularly and had a small volume of elliptical bone cells. The cell body was located at bone lacuna, blood vessel arranged well in the medullary cavity of bone. Lesion haracteristics of femoral head in dexamethasone group and horse serum group were similar:Hematopoietic adipose in the medullary cavity of bone was significantly decreased while fat adipose obviously increased; bone trabecula of metaphysis and the inferior sections of cartilage of femoral head were found with ered, and so was the bone nucleus. The number of lacuna of bone was increased. ② Ultrastructural changes: Normal bone cells in control group were elliptical, located at bone lacuna. Nucleus was at one end of the cell with complete karyotheca and many mitochondria in the cytoplasm. In dexamethasone group and horse serum group there were lipid droplets in the osteocytes, narrowed blood capillary in the medullary cavity of bone and injured vascular endothelial cells.CONCLUSION: Corticotropin can induce necrosis of femoral head; the hormone causes accumulated fat adipose in the medullary cavity of bone.The increased internal pressure in the medullary cavity leads to ischemia of femoral head, thus inducing the necrosis of osteocytes.

Objective To explore the curative effect and adverse reactions through Cynergy dual wavelength laser to cure skin vascular pathological changes in children.Methods Cynergy dual wavelength (595 nm and 1064 nm) laser were used to treat the skin vascular pathological changes in children (650 cases) including strawberry-shaped hemangioma (398 cases) and port wine stain (252 cases).Anergy density was 5-15 J/cm2 and 30-80 J/cm2.The curative effect and adverse reaction and also the relationship between the port wine stain curative effect and the age of patient,location,and colour of skin lesions were analyzed.Results In total 650 cases after 3-7 times treatments under suitable pulse width and energy density,the curative effect for strawberry-shaped hemangioma was 92.2 ％,that for pink type port wine stain was 77.9 ％,that for purple type port wine stain was 38.9 ％,and that for thickening type port wine stain was 14.3 ％ ; the overall adverse reaction rate was 2.3 ％.After test with x2 analysis,the curative effect of port wine stain also varied depending on the age of patient,location,and colour of skin lesions.The younger the age of patient and shallower of colour of skin lesions,and the better the curative effect.The curative effect for location around the eyes was better than frontal face and limbs.Conclusions Application of Cynergy dual wavelength laser in treatment of the skin vascular pathological changes in children has notable curative effect and low adverse reaction.It is a new curative technology and also safe and reliable.It is worthy of popularization and application.

OBJECTIVETo investigate STK11 gene mutation in a pedigree with Peutz-Jeghers syndrome (PJS).

METHODSA pedigree of PJS was investigated. DNA was extracted from peripheral blood samples from affected and unaffected members of the pedigree and 100 unrelated healthy controls. PCR was performed to amplify all of the 9 coding exons of STK11 gene. PCR products were directly sequenced to detect mutation.

RESULTSA missense mutation p.F354L (c.1062C>G) in exon 8 of the STK11 gene has been identified in all patients with PJS, but was not found in normal individuals from the pedigree and 100 unrelated controls.

CONCLUSIONA missense mutation p.F354L of STK11 gene probably underlies the disease in this pedigree.

Adult ; Asian Continental Ancestry Group ; genetics ; Base Sequence ; DNA Mutational Analysis ; Exons ; Female ; Humans ; Male ; Molecular Sequence Data ; Pedigree ; Peutz-Jeghers Syndrome ; diagnosis ; enzymology ; genetics ; Protein-Serine-Threonine Kinases ; genetics

Objective To investigate a diabetic retinopathy ( DR ) detection algorithm based on transfer learning in small sample dataset. Methods Total of 4465 fundus color photographs taken by Gaoyao People ' s Hospital was used as the full dataset. The model training strategies using fixed pre-trained parameters and fine-tuning pre-trained parameters were used as the transfer learning group to compare with the non-transfer learning strategy that randomly initializes parameters. These three training strategies were applied to the training of three deep learning networks:ResNet50,Inception V3 and NASNet. In addition,a small dataset randomly extracted from the full dataset was used to study the impact of the reduction of training data on different strategies. The accuracy and training time of the diagnostic model were used to analyze the performance of different training strategies. Results The best results in different network architectures were chosen. The accuracy of the model obtained by fine-tuning pre-training parameters strategy was 90. 9％,which was higher than the strategy of fixed pre-training parameters (88. 1％) and the strategy of randomly initializing parameters ( 88. 4％) . The training time for fixed pre-training parameters was 10 minutes,less than the strategy of fine-tuning pre-training parameters ( 16 hours ) and the strategy of randomly initializing parameters (24 hours). After the training data was reduced,the accuracy of the model obtained by the strategy of randomly initializing parameters decreased by 8. 6％ on average,while the accuracy of the transfer learning group decreased by 2. 5％ on average. Conclusions The proposed automated and novel DR detection algorithm based on fine-tune and NASNet structure maintains high accuracy in small sample dataset,is found to be robust,and effective for the preliminary diagnosis of DR.

Objective To analyze clinical prognosis, risk factors and predictive indexes of hyperkalemia in recipients after heart transplantation. Methods Clinical data of 158 recipients were retrospectively analyzed. According to the serum potassium levels within postoperative 1-year follow-up, all recipients were divided into the normal serum potassium level group (n=83), hyperkalemia group (n=43) and severe hyperkalemia group (n=32). The incidence and prognosis of hyperkalemia after heart transplantation were summarized. The risk factors and predictive indexes of hyperkalemia after heart transplantation were identified. Results The incidence of hyperkalemia and severe hyperkalemia within postoperative 1 year was 47.5%(75/158) and 20.3%(32/158), respectively. In the severe hyperkalemia group, the fatality was 16%(5/32), higher than 8%(7/83) in the normal serum potassium level group and 7%(3/43) in the hyperkalemia group. The mean serum creatinine (Scr) within 6 months before heart transplantation, the final total bilirubin level before heart transplantation, postoperative hemodialysis time, the Scr level and N-terminal pro-brain natriuretic peptide level at postoperative 1 d were the independent risk factors for hyperkalemia following heart transplantation (all P < 0.05). The mean Scr level within 6 months before heart transplantation, postoperative hemodialysis time, and Scr levels at postoperative 1 and 7 d could be used to predict postoperative severe hyperkalemia. Conclusions The recipients with severe hyperkalemia after heart transplantation obtain poor prognosis. The mean Scr level within 6 months before heart transplantation, the final total bilirubin level before heart transplantation, postoperative hemodialysis time, and the Scr level and N-terminal pro-brain natriuretic peptide level at postoperative 1 d are the independent risk factors for hyperkalemia after heart transplantation. Perioperative Scr level and postoperative hemodialysis time may be used to predict the incidence of severe hyperkalemia within 1 year after heart transplantation.

Objective To investigate the peripherally inserted central catheter (PICC) to improve the accuracy of three valve PICC head end position of the fortune with endocardial mapping method.Methods 204 patients with PICC were randomly divided into observation group and control group according to the digital table,102 cases in each group.The observation group used saline infusion method by three valve PICC guided endocardial mapping catheter tip location.The control group received conventional positioning surface positioning method.The accurate rate of end position of the two groups was compared.Results The head position accuracy of the observation group was significantly higher than that of the control group (100.00％ vs.93.14％,x2 =3.003,P =0.004).Conclusion The use of saline drip instillation to guide intracardiac electrogram during PICC catheter placement can reduce ectopia and improve the accuracy of the head end position of the catheter,and it is worthy of promotion.

Objective To study the efficiency and accuracy of artificial intelligence (AI) system based on fundus photograph in diabetic retinopathy(DR)screening,and evaluate the clinical application value of AI system. Methods A diagnostic trial was adopted. Total of 13683 color fundus photos were collected in Zhaoqing Gaoyao People's Hospital from March,2017 to November,2018. The AI system for DR (ZOC-DR-V1) was established,based on transfer learning + NASNet algorithm,by training 4465 precisely labeled fundus images (2510 normal,and 1955 with any stage of DR). One thousand confirmed fundus images (300 normal and 700 with any stage of DR),diagnosed by AI ( AI group ) and doctors ( 3 ophthalmologist doctors and 3 endocrinologist doctors ) ( doctor group ) , respectively. Ophthalmologist group and endocrinologist group were both composed of primary,intermediate and senior physicians. The mean reading time of each image and the total time of 1000 images were recorded. The accuracy and efficiency of AI system and doctor groups were compared. The reading process was divided into two stages. The diagnostic coincidence rate and the average reading time of each group between the two parts were calculated and compared. This study protocol was approved by Ethic Committee of Zhongshan Ophthalmic Center, Sun Yat-sen University (No. 2017KYPJ104). Results After training,the diagnostic coincidence rate of AI system (ZOC-DR-V1) in test set was 94. 7％,AUC was 0. 994. In this "man-machine to war",the diagnostic coincidence rate of primary,intermediate and senior endocrinologist was 94. 0％,91. 4％ and 93. 4％;the diagnostic coincidence rate of primary,intermediate and senior ophthalmologist was 92. 7％,94. 4％ and 95. 6％;the diagnostic coincidence rate of AI system was 95. 2％. There was no difference in the diagnostic coincidence rate between AI system and senior ophthalmologist ( P = 0. 749 ) . The mean reading time of each image of primary, intermediate and senior endocrinologists was (4. 63±1. 87),(3. 74±3. 47) and (5. 71±3. 47) seconds,and the total time of 1000 images of primary,intermediate and senior endocrinologists was 1. 29,1. 04 and 1. 58 hours;the mean reading time of each image of primary,intermediate and senior ophthalmologists was ( 7. 25 ± 6. 58 ) , ( 5. 18 ± 5. 01 ) and ( 5. 18 ± 3. 47 ) seconds,and the total time of 1000 images of primary,intermediate and senior endocrinologists was 2. 02,1. 44 and 1. 44 hours;the mean and total time of AI system was (1. 62±0. 67) seconds and 0. 45 hours,and the reading time of AI system was significantly shorter than that of the doctor groups (all at P=0. 000). The diagnostic coincidence rates between previous and posterior part of primary endocrinologist, primary and intermediate ophthalmologist were significantly different (χ2=11. 986,6. 517,10. 896;all at P<0. 05),and the mean reading time in the posterior part was significantly shorter than that in the previous part of intermediate and senior endocrinologist and primary ophthalmologist (t=4. 175,8. 189,5. 160;all at P<0. 01). While the reading time of AI system remained stable throughout the process(χ2=3. 151,P=0. 103;t=0. 038,P=0. 970). Conclusions The ophthalmic AI system based on fundus images has a good diagnostic efficiency,and its diagnostic coincidence rate can compare with senior ophthalmologist,providing a new method and platform for large-scale DR screening.

Objective:To analyze the current status of body composition and development patterns of children and adolescents aged 6-17 years in Guangzhou.Methods:This was a cross-sectional study involving 8 169 school students from 3 elementary schools and 3 middle schools in Guangzhou from March to December 2019.The fat-free mass (FFM) and fat mass (FM) were measured by the bioelectrical impedance analysis.The fat-free mass index (FFMI) and fat mass index (FMI) were calculated via the height standardization. T test was used to compare quantitative variables between groups.The growth pattern of body composition was described using the Hattori chart. Results:A total of 4 431 boys (54.24%) and 3 738 girls (45.76%) were involved in this study.FFM and FM both increased with age between boys and girls.Except for boys aged 11 years, FFM in boys were significantly higher than that in girls with the same age (all P<0.05). In the age of 7-10 years, FM in boys were significantly higher than that in girls with the same age, while it was significantly higher in girls aged 12 years and older than that of boys at the same age (all P<0.05). The Hattori chart showed that the difference in body composition between genders occurred after 11 years old.In contrast to girls, increases in the weight and body mass index (BMI) in boys were mainly attributed to the FFM development. Conclusions:The development of FFM and FM in children and adolescents varies with age, accompanied with the gender-specific features.FFM in boys is higher than that of girls at the same age.The weight gain in boys is mainly attributed to the development of fat-free tissues, and thus the utility of BMI may lead to the overestimation of obesity.