Comparison of perioperative indicators, treatment efficacy, and postoperative complications between tonsillotomy and tonsillectomy for children with obstructive sleep apnea hypopnea syndrome

SUMMARY OBJECTIVE: This study aimed to compare the perioperative indicators, treatment efficacy, and postoperative complications between tonsillotomy and tonsillectomy for children with obstructive sleep apnea hypopnea syndrome. METHODS: A total of 134 children with obstructive sleep apnea hypopnea syndrome were divided into tonsillotomy group (n=66) and tonsillectomy group (n=68). The tonsillotomy group received tonsillotomy treatment with a power cutter, while the tonsillectomy group received tonsillectomy treatment. The perioperative indicators, treatment efficacy, and postoperative complications were compared between the two groups. RESULTS: There was no significant difference in operative time between the two groups (p>0.05), with significant difference in amount of blood loss, postoperative Visual Analogue Scale score, food intake amount, and general diet-taking starting time between the two groups (p<0.05). The total effective rate of treatment had no significant difference between the two groups (p>0.05). There was significant difference in postoperative bleeding, upper respiratory tract infection, and pharyngeal scar grade between the two groups (p<0.05). CONCLUSIONS: Compared with tonsillectomy treatment for children with obstructive sleep apnea hypopnea syndrome, tonsillotomy treatment is more beneficial to optimize the perioperative indicators, relieve the postoperative pain, facilitate the postoperative recovery, and reduce the postoperative complications, which is worthy of clinical promotion.

Comparative Analysis on Two Different Algorithms for Estimating Muscle Forces / 医用生物力学

Objective To explore the differences between the result of static optimization (SO) and computational muscle control (CMC) algorithms for estimating muscle forces, so as to provide references for researchers to choose the appropriate algorithm and make horizontal comparison of the results from different studies. Methods Targeting at a single gait cycle running at four different speeds, SO and CMC algorithms were used to calculate forces and activations of the major muscles in lower limbs, and the results were compared and analyzed. Results Among the 10 major muscles participating in running, except for anterior tibial and rectus femoris, muscle forces and muscle activations solved by the two algorithms had similar curves with correlation coefficients more than 0.91, and the peak value of muscle forces solved by SO was higher and the positions of peak muscle activation had a 10 ms delay. Conclusions In movement analysis, if the research focuses on the timing of muscle forces and the contribution ratios among different muscles, there is not too big difference and SO algorithm is recommended for its simplicity and efficiency. For horizontal comparison of muscle forces and muscle activations estimated by SO and CMC algorithms in different studies, the differences between the two algorithms should be considered.

Culture and identification of parietal epithelial cells of Bowman′s capsule / 中华肾脏病杂志

Objective:To explore the isolation and culture methods of mouse parietal epithelial cells (PECs) of Bowman′s capsule, so as to provide a cell tool for further study.Methods:Mouse renal corpuscles were isolated by cell sieving combined with magnetic separation. After primary culture, identified parietal epithelial cells were induced to differentiate into podocytes. Immunofluorescence staining, real-time quantitative PCR and Western blotting were used to detect specific markers of parietal epithelial cells and podocytes.Results:Primary cultured PECs grew like paving stone and expressed Claudin-1 (PECs specific marker), CD133 (stem cell marker) and CD24 (stem cell marker), without the expression of tubular epithelial cell proteins, mesangial cell and podocyte specific proteins. Cultured to 6 generations in vitro, the PECs still expressed Claudin-1, CD133 and CD24. After incubated with differentiation medium, PECs were able to express podocyte markers WT-1 and Synaptopodin. Conclusion:The renal corpuscles are extracted by cell sieving combined with magnetic separation, and the mouse PECs successfully cultured in vitro can be induced to express podocytes′ markers.

Attentional bias towards emotional faces recognition in college students with high and low social anxiety: evidence from behavior and eye-movement / 中华行为医学与脑科学杂志

Objective:To explore the behavior and eye movement characteristics when processing different emotional faces in college students with different levels of social anxiety.Methods:According to the scores of Liebowitz social anxiety scale, 26 and 27 subjects with high and low social anxiety were selected.The response time and accuracy of the subjects under consistent and inconsistent conditions were measured by the dot probe task.Eye movement data of the subjects were recorded when they viewed angry, disgusting and neutral faces.SPSS 19.0 software was used for repeated measurement analysis of variance.Results:The accuracy rates of the high social anxiety group were (0.97±0.10) and (0.93±0.15) under consistent and inconsistent conditions, and the response time of the high social anxiety group were (660.97±125.38) ms and (687.81±150.90) ms under consistent and inconsistent conditions.High social anxiety subjects showed significant differences in the accuracy and response time under different consistency conditions ( F(1, 51)=15.25, P<0.01 for accuracy, F(1, 51)=7.85, P<0.01 for reaction time), while low social anxiety subjects showed no significant difference(both P>0.05). There were significant differences between the first fixation latency for emotional faces and neutral faces( F(2, 102)=15.01, P<0.01). The total fixation time of emotional face and neutral face was significantly different ( F(2, 102)=4.38, P<0.05). Conclusion:College students with different levels of social anxiety all showed early attentional alertness and attentional disengagement difficulty to emotional faces, but only those with high social anxiety showed attentional bias to emotional faces at the behavioral level.

The impact of the COVID-19 pandemic on the mental health of young people: A comparison between China and the United Kingdom / 中华创伤杂志(英文版)

PURPOSE@#As COVID-19 spreads globally and affects people's health, there are concerns that the pandemic and control policies may have psychological effects on young people (age from 17 to 35 years). This psychological impact might vary in different countries, and thus we compared the prevalence of self-reported psychological distress, loneliness and posttraumatic stress symptoms (PTSS) among young people in the United Kingdom (UK) and China at the beginning of the COVID-19 pandemic.@*METHODS@#Data of this study came from two sources. One source was the first wave of COVID-19 study in Understanding Society, a special wave of the UK household longitudinal study, which provided the high-quality, national-wide representative panel data. The sample comprised 1054 young people. The other source was an online survey on the mental health of 1003 young people from Shanghai, a highly developed area in China. The questionnaire included questions on the prevalence of common mental disorders (cut-off score ≥ 4), loneliness and potential PTSS (cut-off ≥ 33). Univariable analyses were conducted to test the differences in the self-reported prevalence of psychological distress and loneliness between the two groups. Multivariable logistic regression analyses were run to explore the predictors of psychological distress and loneliness among all the young people from England and Shanghai.@*RESULTS@#Among the samples with self-reported psychological distress, the UK sample accounted for 34.4% (n=1054) and the Chinese sample accounted for 14.1% (n=1003). The difference between the two groups was statistically significant (p < 0.001). Additionally, 57.1% of people in the UK and 46.7% in China reported that they sometimes or often felt lonely, of which the difference is statistically significant (p < 0.001). Regression analysis of the entire samples showed that nationality, gender, psychotherapy and loneliness were significant predictors of 12-item General Health Questionnaire scores, while the variables of age and living alone were not. Significant predictors of self-reported loneliness were the nationality, gender, age, living alone and psychotherapy. In China, 123 (12.3%) young people, 49 men (11.3%) and 74 women (13.0%), met the criteria of PTSS symptoms (cut-off scores ≥ 33). These scores were only collected in China.@*CONCLUSION@#This evidence suggests that mental health and loneliness reported by young people were lower in China than that in the UK during the studied period. More research is needed to understand these differences. If the differential negative psychological impacts are confirmed, country-specific measures of prevention and intervention should be adopted to improve the mental health of young people under the ongoing impact of the pandemic.

Clinically applicable artificial intelligence algorithm for the diagnosis, evaluation, and monitoring of acute retinal necrosis / 浙江大学学报（英文版）（B辑：生物医学和生物技术）

The prompt detection and proper evaluation of necrotic retinal region are especially important for the diagnosis and treatment of acute retinal necrosis (ARN). The potential application of artificial intelligence (AI) algorithms in these areas of clinical research has not been reported previously. The present study aims to create a computational algorithm for the automated detection and evaluation of retinal necrosis from retinal fundus photographs. A total of 149 wide-angle fundus photographs from 40 eyes of 32 ARN patients were collected, and the U-Net method was used to construct the AI algorithm. Thereby, a novel algorithm based on deep machine learning in detection and evaluation of retinal necrosis was constructed for the first time. This algorithm had an area under the receiver operating curve of 0.92, with 86% sensitivity and 88% specificity in the detection of retinal necrosis. For the purpose of retinal necrosis evaluation, necrotic areas calculated by the AI algorithm were significantly positively correlated with viral load in aqueous humor samples (

Construction and application value of prognosis associated miRNA prediction model based on bioinforma-tics analysis in pancreatic cancer patients / 中华消化外科杂志

Objective:To construct a prognosis associated micro RNA(miRNA) prediction model based on bioinformatics analysis and evaluate its application value in pancreatic cancer patients.Methods:The retrospective cohort study was conducted. The clinicopathological data of 171 pancreatic cancer patients from the Cancer Genome Atlas (TCGA) (https: //cancergenome.nih.gov/) between establishment of database and September 2017 were collected. There were 93 males and 78 females, aged from 35 to 88 years, with a median age of 65 years. Of the 171 patients, 64 had complete clinicopathological data. Patients were allocated into training dataset consisting of 123 patients and validation dataset consisting of 48 patients using the random sampling method, with a ratio of 7∶3. The training dataset was used to construct a prediction model, and the validation dataset was used to evaluate performance of the prediction model. Nine pairs of miRNA sequencing data (GSE41372) of pancreatic cancer and adjacent tissues were downloaded from Gene Expression Omnibus database. The candidate miRNAs were selected from differentially expressed miRNAs in pancreatic cancer and adjacent tissues for LASSO-COX regression analysis based on the patients of training dataset. A prognosis associated miRNA prediction model was constructed upon survival associated miRNAs which were selected from candidate differentially expressed miRNAs. The performance of prognosis associated miRNA prediction model was validated in training dataset and validation dataset, the accuracy of model was evaluated using the area under curve (AUC) of the receiver operating characteristic curves and the efficiency was evaluated using the consistency index (C-index). Observation indicarors: (1) survival of patients; (2) screening results of differentially expressed miRNAs; (3) construction of prognosis associated miRNA model; (4) validation of prognosis associated miRNA model; (5) comparison of clinicopathological factors in pancreatic cancer patients; (6) analysis of factors for prognosis of pancreatic cancer patients; (7) comparison of prediction performance between prognosis associated miRNA model and the eighth edition TNM staging. Measurement data with normal distribution were represented as Mean± SD, comparison between groups was analyzed by the student- t test, and comparison between multiple groups was analyzed by the AVONA. Measurement data with skewed data were represented as M (range), and comparison between groups was analyzed using the Mann-Whitney U test. Count data were described as absolute numbers or percentages, and comparison between groups was conducted using the chi-square test. Ordinal data were analyzed using the rank sum test. Correlation analysis was conducted based on count data to mine the correlation between prognosis associated miRNA model and clinicopathological factors. COX univariate analysis and multivariate analysis were applied to evaluate correlation with the results described as hazard ratio ( HR) and 95% confidence interval ( CI). HR<1 indicated the factor as a protective factor, HR>1 indicated the factor as a risk factor, and HR equal to 1 indicated no influence on survival. The Kaplan-Meier method was used to draw survival curve and calculate survival rates, and the Log-rank test was used for survival analysis. Results:(1) Survival of patients: 123 patients in the training dataset were followed up for 31-2 141 days, with a median follow-up time of 449 days. The 3- and 5-year survival rates were 16.67% and 8.06%. Forty-eight patients in the validation dataset were followed up for 41-2 182 days, with a median follow-up time of 457 days. The 3- and 5-year survival rates were 15.63% and 9.68%. There was no significant difference in the 3- or 5-year survival rates between the two groups ( χ2=0.017, 0.068, P>0.05). (2) Screening results of differentially expressed miRNAs. Results of bioinformatics analysis showed that 102 candidate differentially expressed miRNAs were selected, of which 63 were up-regulated in tumor tissues while 39 were down-regulated. (3) Construction of prognosis associated miRNA model: of the 102 candidate differentially expressed miRNAs, 5 survival associated miRNAs were selected, including miR-21, miR-125a-5p, miR-744, miR-374b, miR-664. The differential expression patterns of pancreatic cancer to adjacent tissues were up-regulation, up-regulation, down-regulation, up-regulation, and down-regulation, respectively, with the fold change of 4.00, 3.43, 3.85, 2.62, and 2.35. A prognostic expression equation constructed based on 5 survival associated miRNAs = 0.454×miR-21 expression level-0.492×miR-125a-5p expression level-0.49×miR-744 expression level-0.419×miR-374b expression level-0.036×miR-664 expression level. (4) Validation of prognosis associated miRNA model: The C-index of prognosis associated miRNA model was 0.643 and 0.642 for the training dataset and validation dataset, respectively. (5) Comparison of clinicopathological factors in pancreatic cancer patients: results of COX analysis showed that the prognosis associated miRNA model was highly related with pathological T stage and location of pancreatic cancer ( Z=45.481, χ2=10.176, P<0.05). (6) Analysis of factors for prognosis of pancreatic cancer patients: results of univariate analysis showed that pathological N stage, radiotherapy, molecular targeted therapy, score of prognosis associated miRNA model were related factors for prognosis pf pancreatic cancer patients ( HR=2.471, 0.290, 0.172, 2.001, 95% CI: 1.012-6.032, 0.101-0.833, 0.082-0.364, 1.371-2.922, P<0.05). Results of multivariate analysis showed that molecular targeted therapy was an independent protective factor for prognosis of pancreatic cancer patients ( HR=0.261, 95% CI: 0.116-0.588, P<0.05) and score of prognosis associated miRNA model≥1.16 was an independent risk factor for prognosis of pancreatic cancer patients ( HR=1.608, 95% CI: 1.091-2.369, P<0.05). (7) Comparison of prediction performance between prognosis associated miRNA model and the eighth edition TNM staging: in the training dataset, there was a significant difference in the prediction probability for 3- and 5-year survival of pancreatic cancer patients between prognosis associated miRNA model and the eighth edition TNM staging ( Z=-1.671, -1.867, P<0.05). The AUC of the prognosis associated miRNA model and the eight edition TNM staging for 3- and 5-year survival prediction was 0.797, 0.935 and 0.737 , 0.703, with the 95% CI of 0.622-0.972, 0.828-1.042 and 0.571-0.904 , 0.456-0.951. The C-index was 0.643 and 0.534. In the validation dataset, there was a significant difference in the prediction probability for 3- and 5-year survival of pancreatic cancer patients between prognosis associated miRNA model and the eighth edition TNM staging ( Z=-1.729, -1.923, P<0.05). The AUC of the prognosis associated miRNA model and the eight edition TNM staging was 0.750, 0.873 and 0.721 , 0.703, with the 95% CI of 0.553-0.948, 0.720-1.025 and 0.553-0.889, 0.456-0.950, respectively. The C-index was 0.642 and 0.544. Conclusions:A prognosis associated miRNA prediction model can be constructed based on 5 survival associated miRNAs in pancreatic cancer patients, as a complementation to current TNM staging and other clinicopathological parameters, which provides individual and accurate prediction of survival for reference in the clinical treatment.

Application of ARIMA model in predicting the incidence of tuberculosis in China from 2018 to 2019 / 中华流行病学杂志

Objective@#Autoregressive integrated moving average (ARIMA) model was used to predict the incidence of tuberculosis in China from 2018 to 2019, providing references for the prevention and control of pulmonary tuberculosis.@*Methods@#The monthly incidence data of tuberculosis in China were collected from January 2005 to December 2017. R 3.4.4 software was used to establish the ARIMA model, based on the monthly incidence data of tuberculosis from January 2005 to June 2017. Both predicted and actual data from July to December 2017 were compared to verify the effectiveness of this model, and the number of tuberculosis cases in 2018-2019 also predicted.@*Results@#From 2005 to 2017, a total of 13 022 675 cases of tuberculosis were reported, the number of pulmonary tuberculosis patients in 2017 was 33.68% lower than that in 2005, and the seasonal character was obvious, with the incidence in winter and spring was higher than that in other seasons. According to the incidence data from 2005 to 2017, we established the model of ARIMA (0,1,2)(0,1,0)12. The relative error between the predicted and actual values of July to December 2017 fitted by the model ranged from 1.67% to 6.80%, and the predicted number of patients in 2018 and 2019 were 789 509 and 760 165 respectively.@*Conclusion@#The ARIMA (0, 1, 2)(0, 1, 0)12 model well predicted the incidence of tuberculosis, thus can be used for short-term prediction and dynamic analysis of tuberculosis in China, with good application value.

Incidence of cognitive impairment and risk factors associated with prognosis in maintenance hemodialysis patients / 中华肾脏病杂志

Objective@#To investigate the incidence and prognosis of cognitive impairment and to find out the risk factors associated with the outcome for better understanding and preventing cognitive impairment in maintenance hemodialysis (MHD) patients.@*Methods@#The patients who met the criteria as below: MHD patients (≥3 months) in Renji Hospital, Shanghai Jiao Tong University School of Medicine from January 2000 to July 2014, ≥18 years old were enrolled and could carry on the montreal cognitive assessment (MoCA) of voluntary cooperation. According to the score of MoCA, all enrolled patients were divided into two groups: cognitive impairment (MoCA<26) group and non-cognitive impairment (MoCA≥26) group. The follow-up period was 3 years. There were 130 males, and the incidence, demography data, medical history, hemodialysis data, laboratory examination and prognosis of cognitive impairment in hemodialysis patients were prospectively compared and analyzed. Logistic regression analysis was used to investigate the risk factors of cognitive impairment. Kaplan-Meier survival curve and Cox regression model were used for prognostic analysis.@*Results@#A total of 219 MHD patients were enrolled. The incidence of cognitive impairment in MHD patients was 51.6%. There were 130 males, and the ratio of male to female was 1.46∶1. Age was (60.07±12.44) years old and dialysis vintage was (100.79±70.23) months. Compared with non-cognitive impairment group (n=106), patients in cognitive impairment group (n=113) were older, and had higher proportion of education status<12 years, history of diabetes and anuria (all P<0.05); however, the post-dialysis systolic pressure, pre-dialysis diastolic pressure, post-dialysis diastolic pressure, platelet and spKt/V were lower (all P<0.05). Multivariate logistic regression analysis showed that education status<12 years (OR=3.428, 95%CI 1.919-6.125, P<0.001), post-dialysis diastolic pressure<73 mmHg (OR=2.234, 95%CI 1.253-3.984, P=0.006) and spKt/V<1.72(OR=1.982, 95%CI 1.102-3.564, P=0.022) were the independent risk factors for cognitive impairment in MHD patients. The Kaplan-Meier survival curve analysis showed that the survival rate of patients with cognitive impairment was lower than that of non-cognitive impairment group in MHD patients during 3 years follow-up (χ2=3.977, P=0.046). Multivariate Cox regression analysis showed that cognitive impairment was an independent risk factor for death in MHD patients (RR=2.661, 95%CI 0.967-7.321, P=0.058).@*Conclusions@#Cognitive impairment is one of the common complications and an independent risk factor for death in MHD patients. The mortality is high in patients who suffer cognitive impairment. Education status<12 years, post-dialysis diastolic pressure<73 mmHg and spKt/V<1.72 are the independent risk factors for cognitive impairment in MHD patients.

Establishment of a multiplex PCR for rapid identification of Mycobacterium species / 中华微生物学和免疫学杂志

Objective@#To establish and evaluate a multiplex PCR method for rapid identification of Mycobacterium species in order to provide an approach for rapid diagnosis of pathogens causing tuberculosis.@*Methods@#Four genes including 16S rRNA, Rv0577, RD9 and mtbk_20680 were selected to establish the multiplex PCR method. Specific primers were designed and the reaction system and conditions were optimized. The sensitivity and specificity of the multiplex PCR method were evaluated through identifying Mycobacterium africanum (M.africanum), Mycobacterium bovis (M.bovis), M. bovis BCG, seven common non-tuberculosis Mycobacterium (NTM), seven reference species of common respiratory bacteria and 93 clinical strains of Mycobacterium tuberculosis (MTB) isolated from patients with tuberculosis in Gansu Province of China.@*Results@#The fragments of 16S rRNA, Rv0577, RD9 and mtbk_20680 genes were 543 bp, 786 bp, 369 bp and 231 bp in length, respectively. MTB strains of the Beijing genotype were positive for all of the four genes, while the non-Beijing genotype strains were negative for mtbk_20680. M. africanum, M. bovis and M. bovis BCG strains were negative for 16S rRNA and Rv0577. NTM strains only carried 16S rRNA and none of four genes were detected in the seven species of respiratory bacteria. Among the 93 clinical MTB strains, 80 (86.02%) belonged to the Beijing genotype and the other 13 (13.98%) were non-Beijing genotype strains. The specificity of the multiplex PCR method was 100%.@*Conclusions@#The established multiplex PCR method could accurately distinguish Mycobacterium, Mycobacterium tuberculosis complex (MTBC), NTM, MTB, and Beijing and non-Beijing genotype MTB with high sensitivity and specificity.

Establishment of a multiplex PCR for rapid identification of Mycobacterium species / 中华微生物学和免疫学杂志

Objective To establish and evaluate a multiplex PCR method for rapid identification of Mycobacterium species in order to provide an approach for rapid diagnosis of pathogens causing tuberculo-sis. Methods Four genes including 16S rRNA, Rv0577, RD9 and mtbk_20680 were selected to establish the multiplex PCR method. Specific primers were designed and the reaction system and conditions were opti-mized. The sensitivity and specificity of the multiplex PCR method were evaluated through identifying Myco-bacterium africanum (M. africanum), Mycobacterium bovis (M. bovis), M. bovis BCG, seven common non-tuberculosis Mycobacterium (NTM), seven reference species of common respiratory bacteria and 93 clinical strains of Mycobacterium tuberculosis (MTB) isolated from patients with tuberculosis in Gansu Province of China. Results The fragments of 16S rRNA, Rv0577, RD9 and mtbk_20680 genes were 543 bp, 786 bp, 369 bp and 231 bp in length, respectively. MTB strains of the Beijing genotype were positive for all of the four genes, while the non-Beijing genotype strains were negative for mtbk_20680. M. africanum, M. bovis and M. bovis BCG strains were negative for 16S rRNA and Rv0577. NTM strains only carried 16S rRNA and none of four genes were detected in the seven species of respiratory bacteria. Among the 93 clinical MTB strains, 80 (86. 02％ ) belonged to the Beijing genotype and the other 13 (13. 98％ ) were non-Beijing gen-otype strains. The specificity of the multiplex PCR method was 100％ . Conclusions The established multi-plex PCR method could accurately distinguish Mycobacterium, Mycobacterium tuberculosis complex (MTBC), NTM, MTB, and Beijing and non-Beijing genotype MTB with high sensitivity and specificity.

Incidence of cognitive impairment and risk factors associated with prognosis in maintenance hemodialysis patients / 中华肾脏病杂志

Objective To investigate the incidence and prognosis of cognitive impairment and to find out the risk factors associated with the outcome for better understanding and preventing cognitive impairment in maintenance hemodialysis (MHD) patients. Methods The patients who met the criteria as below: MHD patients (≥3 months) in Renji Hospital, Shanghai Jiao Tong University School of Medicine from January 2000 to July 2014, ≥18 years old were enrolled and could carry on the montreal cognitive assessment (MoCA) of voluntary cooperation. According to the score of MoCA, all enrolled patients were divided into two groups: cognitive impairment (MoCA<26) group and non-cognitive impairment (MoCA≥26) group. The follow-up period was 3 years. There were 130 males, and the incidence, demography data, medical history, hemodialysis data, laboratory examination and prognosis of cognitive impairment in hemodialysis patients were prospectively compared and analyzed. Logistic regression analysis was used to investigate the risk factors of cognitive impairment. Kaplan-Meier survival curve and Cox regression model were used for prognostic analysis. Results A total of 219 MHD patients were enrolled. The incidence of cognitive impairment in MHD patients was 51.6％. There were 130 males, and the ratio of male to female was 1.46:1. Age was (60.07 ± 12.44) years old and dialysis vintage was (100.79 ± 70.23) months. Compared with non-cognitive impairment group (n=106), patients in cognitive impairment group (n=113) were older, and had higher proportion of education status<12 years, history of diabetes and anuria (all P<0.05); however, the post-dialysis systolic pressure, pre-dialysis diastolic pressure, post-dialysis diastolic pressure, platelet and spKt/V were lower (all P<0.05). Multivariate logistic regression analysis showed that education status<12 years (OR=3.428, 95％CI 1.919-6.125, P<0.001), post-dialysis diastolic pressure<73 mmHg (OR=2.234, 95％CI 1.253-3.984, P=0.006) and spKt/V<1.72(OR=1.982, 95％CI 1.102-3.564, P=0.022) were the independent risk factors for cognitive impairment in MHD patients. The Kaplan-Meier survival curve analysis showed that the survival rate of patients with cognitive impairment was lower than that of non-cognitive impairment group in MHD patients during 3 years follow-up (χ2=3.977, P=0.046). Multivariate Cox regression analysis showed that cognitive impairment was an independent risk factor for death in MHD patients (RR=2.661, 95％CI 0.967-7.321, P=0.058). Conclusions Cognitive impairment is one of the common complications and an independent risk factor for death in MHD patients. The mortality is high in patients who suffer cognitive impairment. Education status<12 years, post-dialysis diastolic pressure<73 mmHg and spKt/V<1.72 are the independent risk factors for cognitive impairment in MHD patients.

The mechanism underlying pathogenesis of Parkinson's disease and the progress in its therapeutics / 医学研究生学报

Parkinson′s disease (PD) is a neurodegenerative disorder, characterized by progressive loss of dopaminergic neurons in the substantia nigra. The clinical manifestations of PD include motor and non-motor symptoms. There are around 5 millions PD patients in China, accounting for half of the total PD cases in the world. The mechanisms underlying PD pathogenesis remain to be elucidated, but it is widely accepted that abnormal protein aggregation, mitochondria dysfunction, and oxidative stress are the key causative factors of PD. The regular treatment for PD includes medication of which L-dopa is the most commonly prescribed, surgical treatment, and physiotherapy. In recent year, with the progress in biotechnology and understanding of mechanisms underlying PD, novel therapeutics such as cell replacement, gene therapy, deep brain stimulation emerge, which substantially benefit the treatment of PD. In present review, based on the molecular mechanisms underlying PD pathogenesis, we summarized and discussed current therapeutic strategy on PD.

Comparison of machine learning method and logistic regression model in prediction of acute kidney injury in severely burned patients / 中华烧伤杂志

Objective@#To build risk prediction models for acute kidney injury (AKI) in severely burned patients, and to compare the prediction performance of machine learning method and logistic regression model.@*Methods@#The clinical data of 157 severely burned patients in August 2nd Kunshan factory aluminum dust explosion accident conforming to the inclusion criteria were collected. Patients suffering AKI within 90 days after admission were enrolled in group AKI, while the others were enrolled in non-AKI group. Single factor analysis was used to choose independent factors associated with AKI, including sex, age, admission time, features of basic injuries, initial score on admission, treatment condition, and mortality on post injury days 30, 60, and 90. Data were processed with Mann-Whitney U test, chi-square test, and Fisher′s exact test. Variables with P<0.1 in single factor analysis and those with possible clinical significance were brought into the establishment of prediction model. Logistic regression and XGBoost machine learning algorithm were used to build the prediction model of AKI. The area under receiver operating characteristic curve (AUC) was calculated, and the sensitivity and specificity for optimal threshold value were also calculated for each model. Nonparametric resampling test was used to compare the significance of difference of AUC of the two models.@*Results@#(1) Eighty-nine (56.7%) patients developed AKI within 90 days from admission. Compared with 68 patients in non-AKI group, 89 patients in group AKI were older (Z=-2.203, P<0.05), with larger total burn area and full-thickness burn area (Z=-5.200, -6.297, P<0.01), worse acute physical and chronic health evaluation (APACHE) Ⅱ score, abbreviated burn severity index score, and sequential organ failure assessment (SOFA) score on admission (Z=-7.485, -4.739, -4.590, P<0.01), higher occurrence rate of sepsis (χ2=33.087, P<0.01), higher rates of accepting tracheotomy, mechanical ventilation, and continuous renal replacement therapy (χ2=12.373, 17.201, 43.763, P<0.01), larger first excision area (Z=-2.191, P<0.05), and higher mortality on post injury days 30, 60, and 90 (χ2=7.483, 37.259, 45.533, P<0.01). There were no statistically significant differences in sex, open decompression, admission time, 24-hour fluid volume after admission, 48-hour fluid volume after admission, the first 24-hour urine volume, the second 24 hour urine volume, the first excision time, and inhalation injury (χ2=0.529, 3.318, Z=-1.746, -0.016, -1.199, -1.824, -0.625, -1.747, P>0.05). The rates of deep vein catheterization of patients in the two groups were both 100%. (2) There were twenty possible prediction variables for preliminary establishment of model according to the difference results of single factor analysis and clinical significance of variables. (3) The logistic regression prediction model had three variables: APACHE Ⅱ score [odds ratio (OR)=1.36, 95% confidence interval (CI)=1.20-1.53, P<0.001], sepsis (OR=2.63, 95% CI=0.90-7.66, P>0.05), and the first 24-hour urine volume (OR=0.71, 95% CI=0.50-1.01, P>0.05). The AUC of the logistic regression prediction model was 0.875 (95% CI=0.821-0.930), with the specificity and sensitivity of optimal threshold value 84.4% and 77.7%, respectively. (4) XGBoost machine learning model had seven main predictive variables: APACHE Ⅱ score, full-thickness burn area, 24-hour fluid volume after admission, sepsis, the first 24-hour urine volume, SOFA score, and 48-hour fluid volume after admission. The AUC of machine learning model was 0.920 (95% CI=0.879-0.962), higher than that of logistic regression model (P<0.001), with the specificity and sensitivity of optimal threshold value 89.7% and 82.0%, respectively.@*Conclusions@#Sepsis and fluid resuscitation are two important predictive variables that can be intervened for AKI in severely burned patients. Machine learning method has a better performance and can provide more accurate prediction for individuals than logistic regression prediction model, and therefore has good clinical application prospect.

Effect of self-control training on depressive disorders in college students / 中国心理卫生杂志

Objectives:To design a self-control training program based on the recent findings of self-control and self-regulation after taking full consideration of the unique characteristics of depression disorder,with an emphasis on behavioral activation and reinforcement.Methods:Totally 46 students who were diagnosed with major depression were randomly assigned to one of the two groups:Group 1 (n =23),and Group 2 (n =23).Participants in the Group 1 received 24-week self-control training program,as compared to Group 2 who received only baseline and post-24-week-intervention measurements,the measurements included Self-control Scale (SCS) and Beck Depression Inventory (BDI-Ⅱ).The self-control training included eight-week training modules and 16-week consolidation module.Results:In Group 1,the SCS scores were higher in post-intervention than in baseline measurement [(38.0 ± 6.3) vs.(34.7 ± 8.2),P ＜ 0.01],and the BDI-Ⅱ scores were lower in post-intervention than in baseline measurement [(19.0 ± 6.1) vs.(21.8 ± 4.8),P＜0.01] in Group 1.Whereas in Group 2,there were no significant differences between baseline and post-24-week-intervention measurements of SCS and BDI-Ⅱ scores (Ps ＞0.05).Conclusion:The study provides new evidence for the self-regulation model of depression.Self-control training could be an effective intervention strategy for the treatment of depression.

Research progress on establishment of animal models of ovarian cancer / 中国实验动物学报

Ovarian cancer is the fifth leading cause of cancer-related death in women. 75% of ovarian cancer patients were detected at an advanced stage. At present,the disease lacks effective early screening method and the clinical therapy effect is poor,which has become a serious threat to women's health. The use of animal models of ovarian cancer is an important mean to elucidate the pathogenesis of the disease,and to screen effective diagnosis and treatment. The disease models are mainly divided into four types: spontaneous, induced, transplanted and gene intervention type. Mice, rats, hens,Mirotus Fortis and Mongolian gerbil are mainly selected to prepare animal models of ovarian cancer. Based on recent literature reports,we reviewed the preparation method of animal models of ovarian cancer and introduced the evaluation standards and main characteristics of these animal models.

Fructose induces HK-2 ceils to express monocyte chemoattractant protein-1 through uric acid and reactive oxygen species / 上海交通大学学报（医学版）

Objective·To investigate the mechanism of fructose-induced monocyte chemoattratant protein-1(MCP-1) production in HK-2 cells.Methods·The HK-2 cells were divided into fructose incubated (1,5 and 10 mmol/L) group,fructose and ketohexo-kinase inhibitor (KHK-IN) coincubation (fructose 5 mmol/L,KHK-IN was 12,100 and 1 000 nmol/L,respectively) group,uric acid incubation (5,15 and 50 mg/dL) group,fructose and allopurinol co-incubation (fructose 5 mmol/L,allopurinol were 0.01,0.1 and 0.5 mmol/L) group,uric acid and allopurinol co-incubation (uric acid 50 mg/dL,allopttrinol respectively 0.01,0.1and 0.5 mmol/L) group,H2O2 incubation (0.1 and 0.3 mmol/L) group,fructose and N-acetylcysteine (NAC) coincubation (fructose 5 mmol/L,NAC respectively 5,10 and 50 mmol/L) group,and uric acid and NAC co-incubation (uric acid 50 mg/dL,NAC was 5,10and 50 mmol/L,respectively) group.The quantitative PCR method and Western blotting method were used to observe the expression ofMCP-1 mRNA and protein.The effects of fructose and uric acid on the production of ROS in HK-2 cells were observed by using a fluorescent probe.Results·Fructose doseand time-dependently induced MCP-1 gene transcription and protein production in HK-2 cells,which could be blocked by the ketohexo-kinase blockers.Exogenous uric acid induced MCP-1 production in HK-2 cells.Allopurinol inhibited fructose,but not exogenous uric acid-induced MCP-1 expression.Both fructose and uric acid induced ROS generation.Incubation with H2O2promoted MCP-1 production in HK-2 cells.NAC completely inhibited MCP-1production induced by fructose and H2O2.Conclusion·Catalyzed by the ketohexo-kinase,fructose resultes the production of MCP-1 through uric acid and reactive oxygen species.

Pyruvate dehydrogenase activity and pyruvate dehydrogenase kinase 4 expression in skeletal muscle of end-stage renal disease patients / 上海交通大学学报（医学版）

Objective·To explore the changes of pyruvate dehydrogenase (PDH) activity and pyruvate dehydrogenase kinase 4 (PDK4) expression in the end-stage renal disease (ESRD) patients' skeletal muscles. Methods·Skeletal muscle samples were collected from non-chronic kidney disease (non-CKD) patients and ESRD patients. PDH activity was detected by ELISA assay. Real-time qPCR was performed to examine gene transcription levels of PDK1-PDK4 and PDH subunits.Western blotting analysis was used to detect protein expression levels of PDK1 and PDK4. Results·There were no demographic differences between two groups of patients. Plasma creatinine and urea nitrogen were significantly elevated in ESRD group (both P<0.05), while estimated glomerular filtration rate, hemoglobin and plasma albumin in ESRD group were significantly lower than those in non-CKD group (all P<0.05).Skeletal muscle PDH activity in ESRD group was markedly lower than that in non-CKD group(P=0.014).There were no differences in PDK1-PDK4 and PDH subunits mRNA transcription levels between ESRD and non-CKD group.PDK4 protein expression was significantly higher than that in non-CKD group (P=0.000). Conclusion·The decreased PDH activity in ESRD patients' skeletal muscle may be related to up-regulation of PDK4.

V-Y advancement flap based on the double perforators of the posterior tibial artery for reconstruction of small-area tissue defect in the achilles tendon / 中华显微外科杂志

Objective To investigate the clinical effect of the V-Y advancement flap based on double perfo-rators of the posterior tibial artery for reconstruction of small-area tissue defect in the achilles tendon. Methods From June, 2014 to June, 2017, a total of 8 patients with small-area tissue defect in the achilles tendon were repaired by the V-Y advancement flap based on double perforators of the posterior tibial artery. The size of defects ranged from 1.5 cm ×3.5 cm to 3.5 cm ×5.0 cm, and the size of flaps ranged from 2.0 cm ×8.0 cm to 4.0 cm ×12.0 cm. The donor area was directly sutured. Eight cases were followed-up, and the appearance, quality, color and elasticity was raorded. Results All V-Y advancement flaps based on double perforators of the posterior tibial artery survived, and all donor sites were directly sutured. Followed-up for 3 to 12 months. All V-Y advancement flaps were flat with the sur-rounding tissue. The appearance, quality, color and elasticity of flaps were good. According to the related evaluation criteria made by the American Orthopedic Foot and Ankle Surgery Society (AOFAS), the results of 8 patients were ex-cellent in 6 cases, and good in 2 cases. The patients had a high degree of satisfaction. Conclusion Application of the V-Y advancement flap based on the double perforators of the posterior tibial artery is an ideal method to repair the small-area tissue defect in the achilles tendon. This kind of surgery is simple, safe and has minimal donor site mor-bidity.

Optimization of the experimental condition on separating lipoproteins by self-constructed asymmetrical flow field-flow fractionation / 北京大学学报(医学版)

OBJECTIVE@#To analyze and characterize the separation effectiveness of self-constructed asymmetrical flow field-flow fractionation system on proteins and lipoproteins, to achieve the optimization of the experimental conditions when separating lipoproteins by orthogonal design test and to investigate the carrier viscosity's influence on separation effectiveness.@*METHODS@#The evaluation of asymmetrical flow field-flow fractionation separation capacity was conducted by using two standard proteins (carbonic anhydrase and thyroglobulin). Under the optimized separation conditions of carbonic anhydrase and thyroglobulin, the channel actual thickness (after assembling, the actual thickness of separation channel was less than initial thickness) was calculated by the analytes' elution time based on the hydrokinetic theory. With orthogonal design test the optimized experimental conditions were studied and statistical analysis was carried on to find out the factors with statistical significance which needed further exploration.@*RESULTS@#According to the hydrodynamics principle and Stoke's function, the channel actual thickness was measured to be 164 μm by separating the two standard proteins, carbonic anhydrase and thyroglobulin, under proper experimental conditions. By the optimization based on orthogonal design test, base-line separation (the resolution had to be higher than 1.50) was achieved. The resolutions of the two experiments were 1.61 and 1.58. According to previous study/ pre-study and supporting theory, in the orthogonal design test, the total 5 factors were integrated for comprehensive investigation: the total flow rate (3.00, 3.50, 4.00, 4.50 mL/min), focus time (3.00, 3.50, 4.00, 4.50 min), transition time (0.5, 1.0, 1.5, 2.0 min), pH of the carrier fluid(6.8, 7.00, 7.20, 7.40) and viscosity of the carrier fluid hydroxypropylmethylcellulose concentration: 0.00%, 0.03%, 0.06%, 1.00%). Among the 5 factors, viscosity was found to have the statistical significance on separation effectiveness which was further investigated. The resolution of high density lipoprotein and low density lipoprotein was increased by the increasing viscosity which also caused more obvious negative spikes.@*CONCLUSION@#The separating capacities of self-constructed asymmetrical flow field-flow fractionation system on lipoproteins were verified to be effective and an optimized experimental condition was found to achieve the base-line separation of high density lipoprotein and low density lipoprotein. Viscosity of the carrier fluid was proved to have the statistical significance on lipoprotein separation.