Objective:To explore the construction and validation of a nomogram model for predicting poor survival prognosis in patients with clear cell renal cell carcinoma（ccRCC）based on deep learning of pathological images.Methods:This study was an observational cohort study. The original pathological images and clinicopathological data（TCGA cohort）of 378 patients with ccRCC were obtained from the Cancer Genome Atlas Database（TCGA）for model training. A total of 301 patients with ccRCC who underwent surgical treatment at Renji Hospital Affiliated to Shanghai Jiaotong University School of Medicine from January 2010 to December 2020（Renji cohort）and 214 patients with ccRCC who underwent surgical treatment at the First People’s Hospital Affiliated to Shanghai Jiaotong University School of Medicine from January 2012 to December 2018（General cohort）were included for model validation. Their original pathological images and clinical pathological data were collected. A clustering-constrained attention and multi-instance learning method was used to accurately identify sub-regions of the images to classify and extract features of the pathological images. A deep learning-based disease-free survival prognosis prediction model（DL-DFS）was constructed through a weakly supervised learning strategy. The clinical pathological features and DL-DFS were further combined to construct a nomogram model for the clinical prognosis of ccRCC patients. Univariate and multivariate Cox regression analyses were employed to evaluate the independent risk factors for disease-free survival（DFS）. The efficacy of the predictive model were evaluated by the receiver operating characteristic curve（ROC）with area under the curve（AUC），respectively. Survival analysis was conducted using the Kaplan-Meier curve.Results:DL-DFS could accurately predict the DFS status of ccRCC patients in 5 years after surgery. Through ROC analysis in the training cohort，the AUC value reached 0.75（ P < 0.001）. In the Renji cohort and the General cohort，the AUC values were 0.65（ P < 0.001）and 0.81（ P < 0.001），respectively. Through Kaplan-Meier survival analysis，we found that DL-DFS could identify ccRCC patients with high survival risks. The hazard ratio in the training cohort was 3.86（95% CI 2.36-6.30， P < 0.001）. The hazard ratio in the Renji cohort and General cohort were 1.97（95% CI 1.03-3.80， P = 0.009）and 4.66（95% CI 1.80-12.06， P = 0.008），respectively. Univariate and multivariate Cox regression analyses indicated that DL-DFS risk score，tumor grade，and tumor stage could act as prognostic risk factors for patients with ccRCC（ P < 0.05）. Considering that age was a common prognostic risk factor for patients with renal cancer，a nomogram model was constructed by combining the DL-DFS risk score with patient age，tumor grade，and tumor stage. The AUC of this model for predicting the 5-year DFS of ccRCC patients after surgery was 0.87，which was significantly higher than that of DL-DFS（AUC = 0.74），tumor stage（AUC = 0.84），tumor grade（AUC = 0.72），and patient age（AUC = 0.56）in the TCGA cohort（all P<0.05）. In the Renji cohort and the General cohort，the AUC of the nomogram model were 0.78 and 0.86 respectively，which was significantly higher than that of DL-DFS（0.65 and 0.81），tumor stage（0.72 and 0.69），tumor grade（0.64 and 0.77），and patient age（0.56 and 0.63）. Conclusions:In this study a DL-DFS for ccRCC patients was constructed. Then a nomogram model was constructed by combining the DL-DFS risk value with patient age，tumor grade，and tumor stage. This nomogram model demonstrated superior predictive performance compared to DL-DFS alone in evaluating the DFS prognosis of ccRCC patients，which still needs to be further verified in prospective clinical studies.

Objective:To explore the construction and validation of a nomogram model for predicting poor survival prognosis in patients with clear cell renal cell carcinoma（ccRCC）based on deep learning of pathological images.Methods:This study was an observational cohort study. The original pathological images and clinicopathological data（TCGA cohort）of 378 patients with ccRCC were obtained from the Cancer Genome Atlas Database（TCGA）for model training. A total of 301 patients with ccRCC who underwent surgical treatment at Renji Hospital Affiliated to Shanghai Jiaotong University School of Medicine from January 2010 to December 2020（Renji cohort）and 214 patients with ccRCC who underwent surgical treatment at the First People’s Hospital Affiliated to Shanghai Jiaotong University School of Medicine from January 2012 to December 2018（General cohort）were included for model validation. Their original pathological images and clinical pathological data were collected. A clustering-constrained attention and multi-instance learning method was used to accurately identify sub-regions of the images to classify and extract features of the pathological images. A deep learning-based disease-free survival prognosis prediction model（DL-DFS）was constructed through a weakly supervised learning strategy. The clinical pathological features and DL-DFS were further combined to construct a nomogram model for the clinical prognosis of ccRCC patients. Univariate and multivariate Cox regression analyses were employed to evaluate the independent risk factors for disease-free survival（DFS）. The efficacy of the predictive model were evaluated by the receiver operating characteristic curve（ROC）with area under the curve（AUC），respectively. Survival analysis was conducted using the Kaplan-Meier curve.Results:DL-DFS could accurately predict the DFS status of ccRCC patients in 5 years after surgery. Through ROC analysis in the training cohort，the AUC value reached 0.75（ P < 0.001）. In the Renji cohort and the General cohort，the AUC values were 0.65（ P < 0.001）and 0.81（ P < 0.001），respectively. Through Kaplan-Meier survival analysis，we found that DL-DFS could identify ccRCC patients with high survival risks. The hazard ratio in the training cohort was 3.86（95% CI 2.36-6.30， P < 0.001）. The hazard ratio in the Renji cohort and General cohort were 1.97（95% CI 1.03-3.80， P = 0.009）and 4.66（95% CI 1.80-12.06， P = 0.008），respectively. Univariate and multivariate Cox regression analyses indicated that DL-DFS risk score，tumor grade，and tumor stage could act as prognostic risk factors for patients with ccRCC（ P < 0.05）. Considering that age was a common prognostic risk factor for patients with renal cancer，a nomogram model was constructed by combining the DL-DFS risk score with patient age，tumor grade，and tumor stage. The AUC of this model for predicting the 5-year DFS of ccRCC patients after surgery was 0.87，which was significantly higher than that of DL-DFS（AUC = 0.74），tumor stage（AUC = 0.84），tumor grade（AUC = 0.72），and patient age（AUC = 0.56）in the TCGA cohort（all P<0.05）. In the Renji cohort and the General cohort，the AUC of the nomogram model were 0.78 and 0.86 respectively，which was significantly higher than that of DL-DFS（0.65 and 0.81），tumor stage（0.72 and 0.69），tumor grade（0.64 and 0.77），and patient age（0.56 and 0.63）. Conclusions:In this study a DL-DFS for ccRCC patients was constructed. Then a nomogram model was constructed by combining the DL-DFS risk value with patient age，tumor grade，and tumor stage. This nomogram model demonstrated superior predictive performance compared to DL-DFS alone in evaluating the DFS prognosis of ccRCC patients，which still needs to be further verified in prospective clinical studies.

Galactinol synthase (GolS) genes play important roles in plant response to abiotic stress. In this research, the plant expression vector of soybean GmGolS2-2 gene was constructed and transformed into tobacco to study the drought tolerance of transgenic tobacco. A GmGolS2-2 gene with 975 bp coding sequence was cloned from soybean leaves by reverse transcription-polymerase chain reaction (RT-PCR). GmGolS2-2 was linked to the plant expression vector pRI101 by restriction enzyme sites Nde Ⅰ and EcoR Ⅰ, and transformed into tobacco by leaf disc method. Genomic DNA PCR and real-time PCR showed that three GmGolS2-2 transgenic tobacco plants were obtained. The growth status of GmGolS2-2 transgenic tobacco under drought stress was better than that of wild-type tobacco. After drought stress treatment, the electrolyte leakage and malondialdehyde content of transgenic tobacco were lower than those of wild-type tobacco, but the proline content and soluble sugar content were higher than those of wild-type tobacco. The results of real-time PCR showed that the heterologous expression of GmGolS2-2 increased the expression of stress-related genes NtERD10C and NtAQP1 in transgenic tobacco. The above results indicated that GmGolS2-2 improved drought resistance of transgenic tobacco.
Drought Resistance ; Tobacco/genetics* ; Soybeans/genetics* ; Plant Proteins/metabolism* ; Plants, Genetically Modified/genetics* ; Stress, Physiological/genetics* ; Droughts ; Gene Expression Regulation, Plant

Objective:To summarize our institutional experiences of screening and selecting potential recipients and living donors for uterine transplantation at a single center.Methods:A total of 102 patients were diagnosed as absolute uterine factor infertility (AUFI). Depending upon the outcomes of previous trials, 8 modules were selected for surveying. A registration form was distributed for subjects at outpatient clinics or through telephone consultations for clinical trials of uterus transplantation between November 2018 and October 2019. The relevant information was collected and entered into a dedicated system for data processing.Results:The number of eligible subjects was 84 and the number of recipients with potential donors 37. The average age of potential recipients was 26.0(18-47) years. Among potential recipients, 76(90.5%) had congenital AUFI and 8(9.5%) acquired AUFI. For potential donors with available organs, the average age was 47.5(32-64) years and the proportion of menopausal or peri-menopausal status 56.8%.Conclusions:Currently large demands and sufficient supports for conducting clinical trials of uterine transplantation are available in China. However, inherent deficiencies persist in organ donor population reserves and preoperative screening protocols, such as donor age and subjective/objective factors of participants. During clinical trials of uterine transplantation, preoperative screening should be performed for expanding the screening scope, extending the screening time and popularizing the screening knowledge to boost the success rate.

Objective:This article summarized the characteristics of inpatients with the COVID-19 by psychiatric contact consultation in Wuhan.Method:This was a retrospective study. A total of 105 patients consulted by the Guangdong psychological medical team from March 1, 2020 to March 7, 2020 were selected. Data were collected by 20 psychiatrists responsible for the contact consultation, including age, gender, the main reasons for the contact consultation and the psychiatric treatment plan. The consultant doctor decided whether to enter the isolation ward according to the patient′s condition introduced by the attending physician, and whom were followed up within a week. Descriptive statistical analysis was used to analyze the data.Results:There were 105 patients from 5 designated hospitals, aged （58.3±18.9） years, 62.9% (66/105) were females, and 102 (97.1%) were consulted face-to-face in the isolated ward. Main reasons for consultation were anxiety (65, 61.9%), depression (27, 25.7%), insomnia (6, 5.7%), agitation (6, 5.7%), and illusion (1, 1%). Seventy-seven of those patients (73.3%) received individualized psychotherapy, 1(1.0%) was prescribed with psychiatric medication, and 27 (25.7%) were treated with both measures. Follow-up showed that psychological symptoms relieved in 102 cases (97.1%).Conclusion:Psychosocial symptoms such as anxiety and depression are common in infected patients, and thereby psychiatric contact and consultation is in great demand in the treatment of COVID-19. Early intervention of mental health professionals in the diagnosis and treatment of patients plays a positive role in the recovery of them.

Objective:This article summarized the characteristics of inpatients with the COVID-19 by psychiatric contact consultation in Wuhan.Method:This was a retrospective study. A total of 105 patients consulted by the Guangdong psychological medical team from March 1, 2020 to March 7, 2020 were selected. Data were collected by 20 psychiatrists responsible for the contact consultation, including age, gender, the main reasons for the contact consultation and the psychiatric treatment plan. The consultant doctor decided whether to enter the isolation ward according to the patient′s condition introduced by the attending physician, and whom were followed up within a week. Descriptive statistical analysis was used to analyze the data.Results:There were 105 patients from 5 designated hospitals, aged （58.3±18.9） years, 62.9% (66/105) were females, and 102 (97.1%) were consulted face-to-face in the isolated ward. Main reasons for consultation were anxiety (65, 61.9%), depression (27, 25.7%), insomnia (6, 5.7%), agitation (6, 5.7%), and illusion (1, 1%). Seventy-seven of those patients (73.3%) received individualized psychotherapy, 1(1.0%) was prescribed with psychiatric medication, and 27 (25.7%) were treated with both measures. Follow-up showed that psychological symptoms relieved in 102 cases (97.1%).Conclusion:Psychosocial symptoms such as anxiety and depression are common in infected patients, and thereby psychiatric contact and consultation is in great demand in the treatment of COVID-19. Early intervention of mental health professionals in the diagnosis and treatment of patients plays a positive role in the recovery of them.

Objective: Heart failure (HF) patients are usually associated with liver function impairment, Child-Turcotte-Pugh (CTP) scores can evaluate liver function, but its effect in HF patients has been unclear. We want to study the application of CTP scores in predicting the risk of death for in-hospital HF patients. Methods: A total of 1180 consecutive in-hospital HF patients were enrolled. According to CTP scores evaluated liver function at admission, the patients were divided into 3 groups: CTP grade A group, n=951, CTP grade B group, n=206 and CTP grade C group, n=23. The endpoint of this study was all-cause death. Results: There were 180 patients died at 1 year follow-up period, the in-hospital and 1 year mortalities were increased with the elevated CTP grades accordingly: for in-hospital mortalities in CTP grade A, B and C groups were (0.8%, 11.7% and 56.5%) respectively, P< 0.001; for 1 year mortalities were (9.6%, 34.5% and 78.3%) respectively, P< 0.001. Multivariable Cox regression analyses indicated that the higher CTP grades, the higher risk of in-hospital and 1 year mortalities in HF patients. The area under curve for CTP scores in predicting the in-hospital and 1 year mortalities were 0.88 and 0.74 respectively. Kaplan-Meier survival analysis presented that the patients with improved CTP scores from grade B or C to grade A at discharge had the higher 1 year survival rate than those without improvement, P=0.028.
Conclusion: CTP scores may independently predict the risk of death for in-hospital HF patients, the levels of CTP scores might be used for evaluating the efficacy of in-hospital treatment.

Objective To investigate the effect of concentrated suture fixation in subdermal vascular network flap method for treatment of axillary osmidrosis in reducing postoperative complications,increase the wound dressing effect of comfort.Methods Ninety-six cases of bilateral axillary osmidrosis patients were randomly divided into concentrated suture group (group A) and 8 bandage compression group (group B),48 cases in each group.They were cleared of sweat gland retaining subdermal vascular network skin flap method in treatment of axillary osmidrosis.Group A was treated with concentrated suture fixation after the separation of the subdermal vascular network flap by in situ,group B was treated by routine compression bandage fixation after the separation of the subdermal vascular network flap.Observation of subcutaneous hematoma,infection,necrosis of skin after operation and understood dressing comfort.To observe the peculiar smell and axillary scar,operation area 6 months postoperative growth.Results The postoperative observation:group A subcutaneous hematoma complication rate was lower in group B,the incidence of 1.04％ (1/96) vs.19.79％ (19/96),the difference was statistically significant (P ＜ 0.01).Group A postoperative dressing comfort satisfaction rate was 93.75％ (45/48),group B po or comfort,satisfaction rate was only 10.42％(5/48),the difference had statistically significant (P ＜ 0.01).After 6 months of postoperative,the total efficiency of two groups were 100.00％,no significant difference (P ＞ 0.05).Group A district scar formation rate was higher than that in group B [3.12％(3/96) vs.21.88％(21/96)] (P ＜ 0.05).The armpit hair and sweat in the two groups was significantly reduced,there was no significant difference (P ＞ 0.05).Conclusion Concentrated suture fixation method in the treatment of axillary osmidrosis by subdermal vascular network is a reliable fixation of the axillary free after the subdermal vascular network flap,and have flap high healing rate,scar,low rate of complications; postoperative dressing is simple,comfortable,living freely,overall is better than 8 bandage compression method.

Objective To observe the clinical curative effect of Depmas double blood purification system for acute severe organophosphorus pesticide poisoning.Methods Retrospectively study was carried out on 147 patients of acute severe organophosphorus pesticide poisoning.Patients were divided into four groups,the conventional treatment group treated with drug therapy,hemoperfusion group given HA230 hemoperfusion in addition to conventional treatment,plasma exchange combined with hemoperfusion group given HA230 hemoperfusion and plasma exchange therapy in addition to conventional treatment,and Depmas group treated with plasma separation by Baxter blood fiber and then given series HA230 and BS330 hemoperfusion treatment on the separated plasma in addition to conventional treatment.Survival rate,mean survival time of death patients,the concentration changes of cholinesterase and bilirubin in peripheral blood were observed.Results Compared to the conventional treatment group,survival rates of hemoperfusion group,hemoperfusion combined with plasma exchange group and Depmas group were higher,the mean survival time was longer,the cholinesterase concentration in peripheral blood was higher and the elevated bilirubin concentration was decreased with the differences statistically significant (P＜0.01).Compared to hemoperfusion group,the survival rates of hemoperfusion combined with plasma exchange group and Depmas group were higher,the mean survival time was longer,the cholinesterase concentration in peripheral blood were higher and the elevated bilirubin concentration was decreased with the differences statistically significant (P＜0.05).Besides,there were no significant differences between the survival rate,mean survival time,peripheral blood cholinesterase and bilirubin concentration of hemoperfusion combined with plasma exchange group and that of Depmas group (P＞0.05).Conclusions Depmas dual blood purification system has remarkable curative effect for the treatment of acute severe organophosphorus poisoning.