Objective To investigate the distribution and drug resistance characteristics of pathogens in donors and recipients undergoing simultaneous pancreas-kidney transplantation (SPK). Methods Clinical data of 231 pairs of donors and recipients undergoing SPK were analyzed retrospectively. The pathogens of samples from donors and recipients were identified by VITEK-2 analyzer, and drug sensitivity test was performed by K-B method. The source distribution and composition ratio of pathogens in donor and recipient samples, distribution characteristics of multi-drug resistant organism, infection of recipients and drug resistance characteristics of pathogens were analyzed. Results A total of 395 strains of pathogens were cultured from 1 294 donor samples, and the detection rate was 30.53%. Gram-negative bacteria mainly consisted of klebsiella pneumoniae, Gram-positive bacteria mainly comprised staphylococcus aureus, and fungi primarily included candida albicans, respectively. In total, 2 690 strains of pathogens were cultured from 10 507 recipient samples, and the detection rate was 25.60%. Gram-negative bacteria mainly consisted of pseudomonas maltophilia, Gram-positive bacteria primarily comprised enterococcus faecalis, and fungi mainly included candida albicans, respectively. Among 395 pathogens of donors, 15 strains of methicillin-resistant staphylococcus aureus (MRSA), 16 strains of extended-spectrum β-lactamase (ESBL) positive drug-resistant bacteria, 8 strains of carbapenem-resistant pseudomonas aeruginosa (CR-PA), 21 strains of carbapenem-resistant acinetobacter baumannii (CR-AB), 2 strains of carbapenem-resistant enterobacteriaceae (CRE) and 1 strain of multiple-drug/pan-drug resistant pseudomonas aeruginosa (MDR/PDR-PA) were identified. Among 2 690 strains of recipient pathogens, 73 strains of ESBL positive drug-resistant bacteria, 44 strains of CR-PA, 31 strains of CR-AB and 3 strains of MDR/PDR-PA were detected. One recipient developed donor-derived infection, 69 cases of pneumonia, 52 cases of urinary tract infection, 35 cases of abdominal infection and 2 cases of hematogenous infection were reported within postoperative 1 year. Gram-negative bacteria were resistant to certain antibiotics. Gram-positive bacteria were sensitive to vancomycin. Fungi were sensitive to amphotericin B. Conclusions Gram-negative bacteria are the main pathogens of SPK recipients, which are resistant to certain antibiotics. Empirical use of antibiotics can be delivered before culture results are obtained. Subsequently, sensitive antibiotics should be chosen according to the culture results to improve the survival rate of SPK recipients.

OBJECTIVES: This study aimed to observe the color rebound and rebound rates of non-pulp discolored teeth within 1 year after routine internal bleaching to guide clinical practice and prompt prognosis. METHODS: In this work, the efficacy of bleaching was observed in 20 patients. The color of discolored teeth was measured by using a computerized colorimeter before bleaching; immediately after bleaching; and at the 1st, 3rd, 6th, 9th, and 12th months after bleaching. The L*, a*, and b* values of the color of cervical, mesial, and incisal parts of the teeth were obtained, and the color change amounts ΔE*, ΔL*, Δa*, and Δb* were calculated. The overall rebound rate (P*) and the color rebound velocity (V*) were also analyzed over time. RESULTS: In 20 patients following treatment, the average ΔE* of tooth color change was 14.99. After bleaching, the neck and middle of the teeth ΔE* and ΔL* decreased in the 1st, 3rd, 6th, 9th, and 12th months, and the differences were statistically significant. Meanwhile, from the 9th month after bleaching, the rebound speed was lower than that in the 1st month, and the difference was statistically significant. The incisal end of the tooth ΔE* and ΔL* decreased in the 6th, 9th, and 12th months after bleaching, and the differences were statistically significant. No significant difference was found in the rebound speed between time points. However, this rate settled after the 9th month, with an average color rebound rate of 30.11% in 20 patients. CONCLUSIONS The results indicated that internal bleaching could cause a noticeable color change on pulpless teeth. The color rebound after bleaching was mainly caused by lightness (L*), which gradually decreased with time, and it was slightly related to a* and b*. The color of the teeth after internal bleaching rebounded to a certain extent with time, but the color rebound speed became stable from the 9th month. Clinically, secondary internal bleaching can be considered at this time according to whether the colors of the affected tooth and the adjacent tooth are coordinated and depending on the patient's needs.
Humans ; Tooth Bleaching/methods* ; Tooth, Nonvital/drug therapy* ; Color ; Tooth Discoloration/drug therapy* ; Tooth ; Hydrogen Peroxide/therapeutic use* ; Tooth Bleaching Agents/therapeutic use*

Objective:To observe any effect of ultrashortwave (USW) therapy on inflammatory cytokines and the MAPK pathway of rats with a spinal cord injury.Methods:Seventy-nine Sprague-Dawley rats were randomly divided into a control group ( n=35), an intervention group ( n=35) and a sham group ( n=9). Allen′s method was used to establish a contusion model of SCI in the rats of the control and intervention groups, while the sham group′s spinal tissues were exposed but not stricken. Beginning twenty-four hours after SCI modeling, the intervention group was given 7min of USW therapy daily, five days a week till the day of sacrifice for sampling the target area of spinal cord for tests. Then, motion function was evaluated using Basso, Beattie and Bresnahan (BBB) scoring. One, three and seven days after the SCI modeling, immunofluorescence and western blotting were employed to observe any changes in inflammatory factors and the MAPK pathway in the lesioned area. Results:Fourteen days after the modeling the average BBB score of the intervention group was significantly higher than the control group′s average. Moreover, 7 days after the modeling the average content of the domains containing protein 3 (NLRP3), interleukin-6 (IL-6), IL-6 receptor and tumor necrosis factor-α (TNF-α) in the target area of the spinal cord of sham group showed significantly lower levels than in the other 2 groups. And the levels in the intervention group were significantly lower than in the control group. Seven days after the modeling the number of cells positive for zinc finger protein 36 (TTP) in the lesioned area of the intervention group was significantly greater than among the control group. At the same time the levels of MAPK-activated protein kinase 2 (MK2), phosphorylated-mitogen-activated protein kinase-activated version (p-MK2) and TTP in the control and intervention groups were significantly higher than in the sham group. And there were significant differences between the intervention group and control group in the levels of MK2, p-MK2 and TTP.Conclusion:Ultrashortwave therapy can inhibit inflammation by regulating the MAPK inflammatory pathway, promoting the recovery of motion functions, at least in rats.

Objective:To analyze the differences in clinical outcomes and toxicities between postoperative radiotherapy alone and postoperative radiochemotherapy for soft tissue sarcoma (STS), as well as the related factors affecting clinical prognosis of STS patients.Methods:Retrospective analysis of patients diagnosed with primary STS admitted to Zhejiang Cancer Hospital from May 2012 to May 2019 was performed, who received adjuvant radiotherapy after surgery, combined with or without postoperative chemotherapy. A total of 100 patients were enrolled and divided into postoperative radiotherapy group ( n=52) and postoperative radiochemotherapy group ( n=48). The median follow-up time was 65 months (24-124 months). The local recurrence-free survival (LRFS), distant metastasis-free survival (DMFS), overall survival (OS), and treatment-related toxicities were recorded in two groups. The survival rate was calculated by Kaplan-Meier analysis. Log-rank test was used for univariate analysis, and Cox model was used for multivariate analysis. Results:In multivariate analysis, the maximum tumor diameter was an independent predictor of local tumor recurrence ( HR=4.80, 95% CI=1.16-19.85, P=0.031), distant metastasis ( HR=4.67, 95% CI=1.53-14.26, P=0.007) and OS ( HR=4.10, 95% CI=1.35-12.48, P=0.013). In addition, the degree of myelosuppression in patients in postoperative radiochemotherapy was significantly higher than that in their counterparts in postoperative radiotherapy group ( P<0.001). Conclusions:In the limited number of patients, radiochemotherapy has no advantages over radiotherapy alone in distant metastasis or survival rate. Besides, it increases toxicities, but the overall tolerability is favorable. It is necessary to conduct prospective randomized studies in a large population and subgroup analysis of histological subtypes, aiming to obtain results with better reference value.

Purpose: This study was performed to investigate the association of Glasgow prognostic score (GPS), combined positive score (CPS), and clinicopathological characteristics of locally advanced rectal cancer. Methods: Between February 2012 and February 2018, 103 patients with locally advanced rectal cancer treated by neoadjuvant chemoradiotherapy and total mesorectal excision (TME) were retrospectively evaluated. Results: According to the classification of the GPS, 85 (82.5%), 13 (12.6%), and 5 patients (4.9%) were classified as a score of 0, 1, and 2, respectively. Patients were classified into the GPS-low group (GPS of 0, n = 85) and GPS-high group (GPS of 1 or 2, n = 18) with an area under the curve of 0.582 for overall survival (OS). The mean programmed death-ligand 1 (PD-L1) CPS of the whole group was 2.24 (range, 0–70). The PD-L1 CPS of the GPS-high group was higher than the GPS-low group (P < 0.001). Multivariate analysis by Cox proportional hazards model indicated that GPS was associated with OS and diseasefree survival (DFS). Furthermore, PD-L1 CPS was associated with DFS (hazard ratio, 1.050; 95% confidence interval, 1.017– 1.083; P = 0.003). Conclusion Elevated GPS was related to the PD-L1 CPS. GPS and PD-L1 CPS were associated with the prognosis of locally advanced rectal cancer treated with neoadjuvant chemoradiotherapy followed by TME.

Objective:To investigate the relationship between the prevalence of cervical spondylosis and occupational stress among employees in Jing 'an community health service centers in Shanghai. Methods:A concise occupational stress questionnaire was developed based on the pay return imbalance model. The prevalence of cervical spondylosis and the incidence of occupational stress were investigated with the questionnaire survey among employees of all 15 community health service centers in a district of Shanghai from September 2020 to November 2020. Multiple logistic regression was used to analyze the relationship between occupational stress factors and prevalence of cervical spondylosis.Results:Of total 1 816 employees in the community health service centers in the district, 1 515 independently completed the questionnaire (83.4%). The average age of responders was 39 years old. The prevalence of cervical spondylosis was 34.7% (526/1 515); and the incidence of occupational stress was 11.6% (175/1 515). The average score of pay factor in the sick group was higher than that in the non-sick group ( t=-8.04, P<0.001), the average score of return factor was lower than that of the non-sick group ( t=6.06, P<0.001), and the average score of internal input factor was higher than that of the non-sick group ( t=-8.39, P=0.004). Multivariate regression analysis showed that occupational stress ( OR=1.57, 95% CI: 1.05-2.36), medium investment ( OR=1.42, 95% CI: 1.02-2.00), high investment ( OR=1.93, 95% CI: 1.27-2.93) were the risk factors of cervical spondylosis (all P<0.05). Conclusions:Cervical spondylosis is associated with occupational stress among employees of community health service centers. To prevent the prevalence of cervical spondylosis, it is necessary to reduce occupational tension, alleviate the imbalance of pay and return, and prevent individuals from excessive internal investment.

Objective To analyze the risk factors for the occurrence of post transplantation diabetes mellitus (PTDM) in renal transplant recipients, establish a prediction model for PTDM and evaluate its prediction value. Methods Clinical data of 915 renal transplant recipients were retrospectively analyzed. According to the occurrence of PTDM, all recipients were divided into the PTDM group (n=78) and non-PTDM group (n=837). The main indexes of recipients were collected. The risk factors for the occurrence of PTDM in renal transplant recipients were analyzed by univariate and multivariate analysis. The prediction model for PTDM was established and its prediction value was evaluated. Results Family history of diabetes mellitus, body mass index (BMI), preoperative 2 h postprandial blood glucose and preoperative glycosylated hemoglobin were the independent risk factors for the occurrence of PTDM in renal transplant recipients. The prediction model for PTDM was logit (P)=2.199×family history of diabetes (yes=1, no=0)+0.109×BMI+0.151×2 h postprandial blood glucose (mmol/L)+0.508×glycosylated hemoglobin (%)-9.123. The results of receiver operating characteristic (ROC) curve showed that the area under the curve (AUC) of these 4 predictors combined for predicting PTDM in renal transplant recipients was 0.830 [95% confidence interval (CI) 0.786-0.873], the cut-off value was 0.0608, the sensitivity was 0.821, the specificity was 0.700, and the Youden index was 0.521 (P < 0.05). Conclusions Family history of diabetes mellitus, BMI, preoperative 2 h postprandial blood glucose and preoperative glycosylated hemoglobin are the independent risk factors for the occurrence of PTDM in renal transplant recipients. The prediction model for PTDM combined with4 predictors yield relatively high prediction value for PTDM.

OBJECTIVE： To explore the mechanism of Lysimachia christinae in the treatment of cholecyst related diseases by network pharmacology. METHODS： The active ingredients of L. christinae were screened through TCMSP database with “Lipinski rule” and “Oral bioavailability ＞30％” rules， and their related targets were predicated correspondingly， then compound-target network were constructed by Cytoscape 3.2.1 software. Disease related targets were predicted by searching TTD database， OMIM database， PharmGKB database， DrugBank database and GAD database with “cholelithiasis” “gallstones” “cholecystitis” and “cholangitis” as keywords. Then， the network of disease-target was constructed and merged with active ingredient target to obtain therapeutic target. After pathway enrichment analysis of therapeutic target were performed by utilizing the DAVID database， molecular docking between target and active ingredient was also conducted in order to screen the main active ingredients of L. christinae. RESULTS： Twenty-seven active ingredients with good oral absorption and drug-like properties were screened from L. christinae. Thirty-three targets were attained after constructing and merging the network. Seven pathways， mainly related to cancer pathway and ABC transporter pathway were achieved. Top 4 active ingredients of L. christinae in the list of docking score were kaempferin， acacia， hesperetin and isorhamnetin， which acted on ABCC3， ABCB1， ABCC2， ABCB4 target. CONCLUSIONS： L. christinae treat cholecyst related diseases through ABC transporter pathway.

This paper expatiates on the effective application of domestic and foreign daily living ability assessment scale in the elderly's daily living ability assessment, subsidy, care policy assessment and insurance compensation. It analyzes and discusses the problems in the application of the daily living activity ability scale, and provide suggestions for Chinese pension service institutions.

Objective : To construct a Miller class Ⅲ gingival recession animal model and to lay the foundation for exploring the treatment of Miller class Ⅲ gingival recession. Methods: Two adult male beagle dogs were selected, and four teeth from each beagle dog were selected to establish an experimental Miller class Ⅲ gingival recession model. The root surface was revealed by removing the soft and hard tissues of the buccal side. The success of the model was determined by measuring the vertical gingival retraction (VGR), horizontal retraction (HGR), keratosis tissue width (KTW), gingival tissue thickness (GTT), and probing depth (PD) at 1, 2, 4, 6, and 8 weeks after modeling. Results: After observing the clinical indexes, the PDs before and after the modeling were all smaller than 3 mm and no deep-period pockets were formed. The VGR before modeling was 0 mm, and the VGR range after modeling was 5-6.38 mm. A comparison of the before and after modeling results showed that this difference was statistically significant (P < 0.05). The postoperative VGR results were grouped according to timepoint. A comparison between the two groups showed that the differences at 2, 4, 6 and 8 weeks postoperatively were not statistically significant (P > 0.05). The HGR before the modeling was 0 mm, and the HGR fluctuated around 10.5 mm after the modeling, and this difference was statistically significant (P < 0.05). The HGR results were grouped by timepoint after surgery, and a one-way analysis of showed that the differences between the two groups were not statistically significant (P > 0.05). The KTW range before modeling was 6~9 mm, and it fluctuated around 2 mm after modeling, and this difference was statistically significant (P < 0.05). The KTW results were grouped by timepoint after surgery, and they indicated that significant differences did not occur between the groups postoperatively (P > 0.05). The pre-modeling GTT was 1.5 mm, and the GTT range after modeling was 1.5-2 mm. The preoperative and postoperative GTT results were grouped by timepoint, and the results showed that significant differences did not occur between 1 week and 2 weeks after surgery (P = 0.123), although a statistically significant difference was observed at 1 week postoperatively between this group and the other groups (P < 0.05). Conclusion The method used in this experiment can successfully build a Miller class III gingival recession animal model, and the model remains stable after wound healing.