Objective To investigate the independent risk factors affecting the prognosis of chronic active antibody-mediated rejection (caAMR) after kidney transplantation. Methods A retrospective analysis was conducted on 61 patients who underwent renal biopsy and were diagnosed with caAMR. The patients were divided into caAMR group (n=41) and caAMR+TCMR group (n=20) based on the presence or absence of concurrent acute T cell-mediated rejection (TCMR). The patients were followed up for 3 years. The value of 24-hour urinary protein and estimated glomerular filtration rate (eGFR) at the time of biopsy in predicting graft loss was assessed using receiver operating characteristic (ROC) curves. The independent risk factors affecting caAMR prognosis were analyzed using the LASSO-Cox regression model. The correlation between grouping, outcomes, and Banff scores was compared using Spearman rank correlation matrix analysis. Kaplan-Meier analysis was used to evaluate the renal allograft survival rates of each subgroup. Results The 3-year renal allograft survival rates for the caAMR group and the caAMR+TCMR group were 83% and 79%, respectively. The area under the ROC curve (AUC) for predicting 3-year renal allograft loss was 0.83 ［95% confidence interval (CI) 0.70-0.97］ for eGFR and 0.78 (95% CI 0.61-0.96) for 24-hour urinary protein at the time of biopsy. LASSO-Cox regression analysis and Kaplan-Meier analysis showed that eGFR≤25.23 mL/(min·1.73 m²) and the presence of donor-specific antibody (DSA) against human leukocyte antigen (HLA) class I might be independent risk factors affecting renal allograft prognosis, with hazard ratios of 7.67 (95% CI 2.18-27.02) and 5.13 (95% CI 1.33-19.80), respectively. A strong correlation was found between the Banff chronic lesion indicators of renal interstitial fibrosis and tubular atrophy (P<0.05). Conclusions The presence of HLA class I DSA and eGFR≤25.23 mL/(min·1.73 m²) at the time of biopsy may be independent risk factors affecting the prognosis of caAMR.

Effective annotation of in vivo drug metabolites using liquid chromatography-mass spectrometry (LC-MS) remains a formidable challenge. Herein, a metabolic reaction-based molecular networking (MRMN) strategy is introduced, which enables the "one-pot" discovery of prototype drugs and their metabolites. MRMN constructs networks by matching metabolic reactions and evaluating MS² spectral similarity, incorporating innovations and improvements in feature degradation of MS² spectra, exclusion of endogenous interference, and recognition of redundant nodes. A minimum 75% correlation between structural similarity and MS² similarity of neighboring metabolites was ensured, mitigating false negatives due to spectral feature degradation. At least 79% of nodes, 49% of edges, and 97% of subnetworks were reduced by an exclusion strategy of endogenous ions compared to the Global Natural Products Social Molecular Networking (GNPS) platform. Furthermore, an approach of redundant ions identification was refined, achieving a 10%-40% recognition rate across different samples. The effectiveness of MRMN was validated through a single compound, plant extract, and mixtures of multiple plant extracts. Notably, MRMN is freely accessible online at https://yaolab.network, broadening its applications.

Objective:To analyze the implementation effects of a medical laboratory talent training program based on local colleges and universities' applied talent-oriented cultivation principal as well as students' interests and industry needs.Methods:Based on the design principals of clarifying the professional orientation, meeting the national standard, reconstructing the curriculum system, introducing the spirit of innovation and entrepreneurship, and multi-dimensional collaborative education, as well as the reverse design path of the outcome-based education concept, we have built a medical laboratory applied talent training system focusing on humanity education, solid foundation, broad employment, and good competency and in accordance with the "three complete education" strategy, along with measures including creating an applied teaching atmosphere, developing an applied curriculum teaching model, providing vocational guidance and improving vocational identity, and promoting education via evaluation. The system was applied to the training and practice of students of grades 2021 and 2022 majoring in medical laboratory technology. SPSS20.0 software was used for statistical analysis.Results:With the concept of application-oriented talent training and the "four-in-one" practical teaching model, students' skills were improved, and the training path was broadened. Compared with those trained with the original program (grades 2019-2020), the graduates trained with the new program (grades 2021-2022) showed a significantly decreased employment rate in medical laboratory jobs in medical institutions from 71.25% to 42.86% ( χ2=12.36, P<0.001), a significantly increased employment rate in in-vitro diagnostics industry from 3.75% to 17.14% ( χ2=7.44, P<0.05), and a significantly increased rate of applying for postgraduate education from 17.05% to 32.86% ( χ2=4.74, P<0.05). Conclusions:The medical laboratory talent training program based on the talent training principal of local colleges and universities combined with students' interests and industry needs can help improve the quality of talent training and broaden the employment path of graduates.

Objective:To analyze the correlation between sagittal bearing movement and posterior tibial slope after Oxford unicompartmental knee arthroplasty (UKA) and its effect on clinical results.Methods:A total of 29 patients (30 knees) with anterior medial knee osteoarthritis who underwent Oxford third-generation UKA in the Department of Joint and Sports Medicine of the Second Hospital of Shanxi Medical University from January 2022 to March 2022 were retrospectively analyzed, including 7 males (8 knees) and 22 females (22 knees), aged 63.3±7.9 years (range, 47-84 years). The patients were divided into overhang group (9 knees) and non-overhang group (21 knees) according to whether there was overhang of the bearing in the sagittal X-ray film at 135° flexion after operation. The preoperative and postoperative Oxford Knee Score (OKS), tibial posterior slope angle and radiographic results of the bearing were compared between the two groups. Pearson correlation analysis was used to measure the relationship between postoperative sagittal bearing movement and OKS and tibial posterior slope.Results:All patients successfully completed the operation and were followed up for 7.2±1.1 months (range, 6-9 months). 30% (9/30) of the bearing were overhung. When the knee flexion was 135°, the position of the bearing in the overhang group was 83.33%±3.46%, and the posterior suspension distance was 1.12 ±1.80 mm, which was significantly higher than those in the non-overhang group (73.24%±3.40% and -4.45±2.37 mm, P<0.05). The bearing movement distance in the overhang group was 33.22%±8.51%, which was larger than that in the non-overhang group (23.36%±9.32%), and the difference was statistically significant ( P<0.05). The posterior tibial slope of the overhang group was 2.68°±2.20° at 6 months after operation, which was smaller than that of the non-overhang group (4.59°±2.69°), and the difference was statistically significant ( P<0.05). The OKS score was 19.00±8.84 in the overhang group and 19.14 ±7.00 in the non-overhang group at 6 months after operation, and the difference was not statistically significant ( P>0.05). Pearson correlation analysis showed that the overhang distance of the bearing was positively correlated with the bearing position at 135° knee flexion ( r=0.97, P<0.001), and negatively correlated with the posterior tibial slope ( r=-0.38, P=0.041). It was negatively correlated with the change of posterior tibial slope ( r=-0.37, P=0.045), positively correlated with the bearing movement distance ( r=0.68, P<0.001), and had no correlation with the position of the bearing at 0° knee flexion ( r=-0.15, P=0.423). The bearing movement distance was negatively correlated with the position of the bearing at 0° of knee flexion ( r=-0.82, P<0.001), positively correlated with the position of the bearing at 135° of knee flexion ( r=0.70, P<0.001), and negatively correlated with the posterior tibial slope ( r=-0.48, P=0.007). It was negatively correlated with the change of posterior tibial slope ( r=-0.39, P<0.001), and positively correlated with the overhang distance of bearing at 135° knee flexion ( r=0.68, P=0.033). Conclusion:The incidence of bearing overhang at Oxford UKA is 30%. The bearing overhang and the increase of the bearing movement distance are related to the decrease of the posterior tibial slope after the operation. Although no effect of bearing overhang on knee joint function was found, the posterior tibial slope should be adjusted during the operation to reduce the incidence of bearing overhang.

Objective To analyze the correlation between internal iliac artery calcification and delayed graft function (DGF) and short-term prognosis of kidney transplant recipients. Methods Clinical data of 222 kidney transplant recipients were retrospectively analyzed. According to the recovery of renal function, all recipients were divided into the DGF group (n=50) and immediate graft function (IGF) group (n=172). According to whether the recipients were complicated with severe internal iliac artery calcification, DGF and IGF groups were further divided into the high-risk DGF (n=22), low-risk DGF (n=28), high-risk IGF (n=41) and low-risk IGF(n=131) subgroups, respectively. Clinical data of donors and recipients were statistically compared between two groups. The incidences of postoperative DGF and internal iliac artery calcification were recorded. The risk factors of DGF after kidney transplantation, and the correlation between internal iliac artery calcification and clinical parameters were analyzed. Short-term prognosis of recipients with DGF complicated with severe internal iliac artery calcification was evaluated. Results The incidence of DGF was 22.5% (50/222). Among all recipients, 28.4% (63/222) were complicated with severe internal iliac artery calcification. In the DGF group, 44% (22/50) of the recipients were complicated with severe internal iliac artery calcification, higher than 23.8% (41/172) in the IGF group (P < 0.05). Univariate analysis showed that high serum creatinine (Scr) level of donors, male donor, high triglyceride level and severe internal iliac artery calcification of recipients were the risk factors for DGF after kidney transplantation (all P < 0.05). Multivariate logistic regression analysis revealed that Scr≥143 μmol/L of donors and severe internal iliac artery calcification of recipients were the independent risk factors for DGF after kidney transplantation (both P < 0.05). Correlation analysis indicated that internal iliac artery calcification was weakly correlated with the age of recipients and renal artery anastomosis (both P < 0.05). In the DGF group, the Scr level at postoperative 1 month was significantly higher, whereas the estimated glomerular filtration rate (eGFR) was significantly lower than those in the IGF group (both P < 0.05). The eGFR at postoperative 12 months in the high-risk DGF subgroup was significantly lower than those in the low-risk DGF, high-risk IGF and low-risk IGF subgroups (all P < 0.05). Conclusions Internal iliac artery calcification is not only a risk factor for recovery of renal allograft function, but also negatively affects short-term prognosis of renal allograft function.

Objective To investigate clinical and epidemiological features of pneumocystis jirovecii pneumonia (PJP) in kidney transplant recipients. Methods Clinical data of 68 kidney transplant recipients admitted from July, 2021 to December, 2021 were collected. All patients were divided into the PJP group (n=11), common pulmonary infection group (n=24) and non-pneumonia group (n=33) according to the status of pulmonary infection. The incidence and treatment of PJP after kidney transplantation were analyzed. Basic characteristics and laboratory parameters of the recipients were compared among all groups. The genotyping and transmission map of PJP patients were evaluated. Results Among 64 kidney transplant recipients, 11 cases were definitely diagnosed with PJP. The most common clinical manifestations included elevated body temperature, and dry cough complicated with progressive dyspnea. Chest CT scan showed diffuse interstitial inflammation and ground glass-like lesions of bilateral lungs in all patients. After diagnosis, all patients were orally given with compound sulfamethoxazole for 3-4 weeks. Two patients received non-invasive ventilator-assisted ventilation due to severe lung infection and dyspnea, and the remaining patients were given with nasal cannula oxygenation. One patient experienced elevated serum creatinine level upon discharge, and developed renal allograft failure. The remaining 10 recipients with PJP obtained normal renal allograft function, and no recipient died. Compared with the non-pneumonia group, the rejection rate was higher, the length of hospital stay was longer, the lymphocyte count was less, the lymphocyte proportion was lower, the levels of C-reactive protein, serum creatinine and lactate dehydrogenase were higher, and the levels of serum albumin was lower and CD4⁺T cell count was less in the PJP group (all P < 0.05). Compared with common pulmonary infection group, the lymphocyte count was less, the lymphocyte proportion was lower, the CD4⁺T cell count was less and 1, 3-β-D- glucan (BDG) level was higher in the PJP group (all P < 0.05). No new genotype was detected in 10 of the 12 testing samples. It was considered that PJP mainly depended on two transmission chains and two independent transmission individuals. Conclusions Kidney transplant recipients are prone to pneumocystis jirovecii (PJ) infection due to impaired cellular immune function. The most common clinical manifestations consist of elevated body temperature and dry cough complicated with progressive dyspnea, accompanied by headache and fatigue in partial patients. Chest CT scan shows diffuse interstitial inflammation and ground glass-like lesion of bilateral lungs. PJ may be transmitted through respiratory tract. Small-scale PJP might occur in the follow-up outpatient of kidney transplant recipients. Preventive measures should be delivered in a timely manner.

Objective: To investigate the status of insomnia, Internet addiction, and depressive symptoms among medical students and to analyze the effect of Internet addiction on insomnia and the mediating role of depressive symptoms, in order to provide a basis for the development of targeted interventions and measurements for medical students. Methods: A stratified whole group sampling method was used to select full-time college students from three medical universities in Anhui Province. The Chinese version of Insomnia Severity Index (ISI), Internet Addiction Test (IAT) scale and 9-item Patient Health Questionnaire (PHQ-9) were used to evaluate the symptoms of insomnia, Internet addiction and depressive in students. A multivariate Logistic regression analysis was used to explore the factors influencing insomnia among medical students and to analyze the relationship between insomnia with Internet addiction and depressive symptoms, respectively. Results: The overall rate of Internet addiction was 49.5%, depressive symptoms was 39.5%, insomnia was 18.6%. High academic stress, and the presence of surrounding people diagnosed with COVID-19 were associated with a higher risk of insomnia ( P <0.05). The higher the level of Internet addiction (mild, OR =2.60; moderate/severe, OR =4.21) and depression. (mild, OR =6.35; moderate/severe, OR =19.32), the higher the risk of insomnia. Mediated effect analysis showed that Internet addiction had a direct predictive effect ( β =0.02, P <0.05) on insomnia and also indirectly affected insomnia through depression (indirect effect=0.07，95% CI =0.06-0.08). Conclusion The detected rates of insomnia, Internet addiction and depressive symptoms are high among medical students in Anhui Province, and Internet addiction and depressive symptoms are risk factors for insomnia, which should be given more attention and appropriate interventions when necessary to improve their physical and mental health.

Objective    To explore the application value of machine learning models in predicting postoperative survival of patients with thoracic squamous esophageal cancer. Methods    The clinical data of 369 patients with thoracic esophageal squamous carcinoma who underwent radical esophageal cancer surgery at the Department of Thoracic Surgery of Northern Jiangsu People's Hospital from January 2014 to September 2015 were retrospectively analyzed. There were 279 (75.6%) males and 90 (24.4%) females aged 41-78 years. The patients were randomly divided into a training set (259 patients) and a test set (110 patients) with a ratio of 7 : 3. Variable screening was performed by selecting the best subset of features. Six machine learning models were constructed on this basis and validated in an independent test set. The  performance of the models' predictions was evaluated by area under the curve (AUC), accuracy and logarithmic loss, and the fit of the models was reflected by calibration curves. The best model was selected as the final model. Risk stratification was performed using X-tile, and survival analysis was performed using the Kaplan-Meier method with log-rank test. Results    The 5-year postoperative survival rate of the patients was 67.5%. All clinicopathological characteristics of patients between the two groups in the training and test sets were not statistically different (P>0.05). A total of seven variables, including hypertension, history of smoking, history of alcohol consumption, degree of tissue differentiation, pN stage, vascular invasion and nerve invasion, were included for modelling. The AUC values for each model in the independent test set were: decision tree (AUC=0.796), support vector machine (AUC=0.829), random forest (AUC=0.831), logistic regression (AUC=0.838), gradient boosting machine (AUC=0.846), and XGBoost (AUC=0.853). The XGBoost model was finally selected as the best model, and risk stratification was performed on the training and test sets. Patients in the training and test sets were divided into a low risk group, an intermediate risk group and a high risk group, respectively. In both data sets, the differences in surgical prognosis among three groups were statistically significant (P<0.001). Conclusion    Machine learning models have high value in predicting postoperative prognosis of thoracic squamous esophageal cancer. The XGBoost model outperforms common machine learning methods in predicting 5-year survival of patients with thoracic squamous esophageal cancer, and it has high utility and reliability.

Objective To investigate the dynamic changes and coordination of macrocirculation and microcirculation in rats with severe hemorrhagic shock and septic shock. Methods A total of 20 male Sprague-Dawley rats (450～550 g) were randomly divided into two groups (n = 10) : hemorrhagic shock group (H-Shock) and septic shock group (S-Shock). 40％ of the systemic blood volume was withdrawn in 1 hour in H-Shock group.While in the S-Shock group, cereal ligation and puncture (CLP) was performed and then the abdomen was closed.Mean arterial pressure (MAP) and the end-tidal carbon dioxide (ETCO2) were recorded continuously. Cardiac ultrasonography and sublingual microcirculation were performed per hour till 12 hours or the rat die (End). A total of 12 hours were observed or the rat die. Arterial blood gas was measured at baseline (BL) , MAP ≤ 65 mmHg (Shock) and at the termination of observation respectively. Results The values reflect macrocirculation or microcirculation in the H-Shock group were all decreased than BL respectively at each time. In the S-Shock group, the values that reflect macrocirculation such as MAP, ETC02 and cardiac output (CO) showed no significant changes within 3 hours (P> 0.05) , while the values of microcirculation were decreased compared with BL respectively at each time (P < 0.05). With the progress of shock, the pH was decreased compared with BL in both groups, while the level of Lac were increased (P < 0.05). Conclusions The changes of macrocirculation and microcirculation in severe hemorrhagic shock are basically the same; while they are inconsistent in septic shock, the changes of microcirculation occurred earlier than that of macrocirculation.

Objective: To report a case of peripheral neuropathy secondary to copper deficiency (CD) by long-term decoppering chelation in Wilson′s disease (WD) to enhance understanding of the disease, and to pay more attention to individualized treatment of WD. Methods: A case of WD diagnosed 12 years ago confirmed by gene detection and since then treated with anti-copper agent was diagnosed as CD based peripheral neuropathy and significant neutropenia and followed up for six months, and the clinical manifestations, laboratory examination, electrophysiology, imaging features were summarized. The related literatures were reviewed. Results: A total of 16 cases of WD complicated with CD were reviewed and analyzed, including seven males and nine females aged 13-56 years. All of them were treated with zinc for 1-38 years, and nine cases with peripheral neuropathy. Hematological indicators can be significantly improved and neurological symptoms can be partially alleviated after stopping copper removal treatment. Conclusions Peripheral neuropathy in a WD with treatment-related CD may occur in blind treatment, irregular treatment monitoring and without individualized treatment adjustment. It is necessary to monitor blood routine, copper and zinc metabolism regularly and advocate individualized treatment of WD.