OBJECTIVE To explore the risk factors for acute kidney injury （AKI） in children with steroid-resistant nephrotic syndrome （SRNS） during tacrolimus treatment and construct a predictive model. METHODS A retrospective selection was made of 155 children diagnosed with SRNS and treated with tacrolimus at Xuzhou Children’s Hospital from January 1， 2022， to December 31， 2023， serving as the study subjects. Various clinical data of the children were collected by reviewing the medical record system. Children who developed AKI during medication were assigned to the AKI group （n＝26）， and those who did not develop AKI were assigned to the control group （n＝129）. Univariate and multivariate Logistic regression analyses were used to screen independent risk factors. A clinical predictive model was constructed based on significant variables， and nomogram， calibration curve， receiver operator characteristic curve， and decision curve were drawn to evaluate the model’s performance. RESULTS Univariate analysis showed that blood urea nitrogen （BUN）， serum creatinine （Scr）， estimated glomerular filtration rate （eGFR）， the maximum trough concentration （cmin） of tacrolimus， CYP3A5*3/*3 genotype， concurrent infection， concurrent hypertension， and the use of non-steroidal anti-inflammatory drugs were influencing factors for AKI in children with SRNS during tacrolimus treatment （P＜0.05）. Multivariate Logistic regression analysis revealed that BUN≥9.58 mmol/L， Scr≥125 μmol/L， eGFR＜37 mL/（min·1.73 m2）， tacrolimus maximum cmin≥11.26 ng/mL，CYP3A5*3/*3 genotype， concurrent infection， and concurrent hypertension were independent risk factors for AKI in children with SRNS during tacrolimus treatment （P＜0.05）. The constructed clinical predictive model had an area under the curve of 0.747， showing good agreement between predicted and actual AKI occurrence and demonstrating favorable clinical net benefit in predicting AKI in children. CONCLUSIONS Impaired baseline renal function （elevated BUN， elevated Scr， and decreased eGFR）， elevated maximum cmin of tacrolimus， CYP3A5*3/*3 genotype， concurrent infection， and hypertension during treatment are independent risk factors for AKI in children with SRNS during tacrolimus treatment. The established clinical predictive model provides a scientific basis for implementing risk stratification management.

ObjectiveTo explore the incidence of major low anterior resection syndrome （LARS） within six months after sphincter-preserving surgery for rectal cancer and to analyze its associated factors. MethodsClinical records， postoperative rehabilitation data and LARS scores were collected from 889 patients at 3 months postoperatively and from 844 patients at 6 months postoperatively. Patients were divided into a major LARS group and a non-major LARS group. Multivariable Logistic regression was used to analyze factors associated with major LARS at 3 and 6 months postoperatively， and the predictive value of the models was assessed using the Hosmer-Lemeshow goodness-of-fit test and the receiver operating characteristic （ROC）. ResultsAmong patients undergoing sphincter-preserving surgery for rectal cancer， 247 patients （27.8%） had major LARS at 3 months postoperatively and 181 patients （21.4%） at 6 months postoperatively. Multivariable Logistic regression showed that Kegel exercises， preoperative radiotherapy， anastomotic leakage， a tumor distance from the anal verge of ≤5 cm， and an anastomotic distance from the anal verge of ≤5 cm were independent factors for major LARS at 3 months postoperatively （P<0.05）. At 6 months postoperatively， occasional Kegel exercises during 0~3 months， Kegel exercises during 4~6 months， hydrotherapy during 4~6 months， preoperative chemotherapy， a tumor distance from the anal verge of ≤5 cm， and an anastomotic distance from the anal verge of ≤5 cm were independent factors （P<0.05）. The models at 3 and 6 months postoperatively showed goodness-of-fit test P values of 0.986 and 0.517 and area under the curve （AUCs） of 0.843 and 0.870， indicating good predictive value. ConclusionThe incidence of major LARS within six months after sphincter-preserving surgery for rectal cancer is relatively high， and greater attention should be paid to patients who receive preoperative chemoradiotherapy， develop anastomotic leakage， or have tumor and anastomotic distances from the anal verge of ≤5 cm. Patients should also be advised that early postoperative Kegel exercises and hydrotherapy may reduce the incidence of major LARS.

Objective To compare the clinical efficacy and safety differences between the triple immunosuppressive regimen of mizoribine (MZR) or mycophenolate mofetil (MMF) combined with tacrolimus (Tac) and glucocorticoids of kidney transplant recipients in one year after transplantation. Methods A single-center retrospective cohort study design was adopted. The clinical data of 156 patients who underwent the first allogeneic kidney transplantation at the Third Hospital of Peking University from January 2022 to December 2024 were included. The patients were divided into the MZR group (78 cases) and the MMF group (78 cases) based on the initial immunosuppressive regimen after transplantation. The baseline data, medication use in one year after transplantation, blood routine indicators, adverse events and clinical outcomes were compared between the two groups. For the repeated-measurement longitudinal data, repeated-measurement analysis of variance was used to evaluate the main effects of the groups, time and their interaction effects. Results At the primary efficacy endpoint, there were no statistically significant differences in the one-year survival rate, graft survival rate and incidence of acute rejection between the two groups (all P > 0.05). In terms of medication patterns and laboratory test indicators, there were significant time main effects and "time × group" interaction effects for Tac dosage (all P < 0.05). The Tac dosage in the MZR group was lower than that in the MMF group from 2 to 3 months after transplantation, and it was higher in the MZR group than in the MMF group from 7 to 12 months and one year after transplantation. White blood cell count in the MZR group was higher at one month after transplantation, and the platelet count was higher one year after transplantation (all P < 0.05). In terms of infection, the incidence of novel coronavirus and Pneumocystis jirovecii pneumonia infections in the MZR group was lower (all P < 0.05). In terms of metabolic indicators, the post-transplantation uric acid level was better in the MZR group than in the MMF group, but the total cholesterol level was higher one year after transplantation (all P < 0.05). In terms of liver function, there was a brief and mild increase in transaminase in the early stage after transplantation in the MZR group. Conclusions During the one-year follow-up after transplantation, both the MZR and MMF regimens demonstrate comparable immunosuppressive efficacy and overall safety in Chinese kidney transplant recipients. The MZR regimen shows clear advantages in reducing specific infection risks, alleviating bone marrow suppression and improving uric acid metabolism, but its potential impact on blood lipids needs to be monitored. Therefore, the MZR regimen may be an effective and safe alternative immunosuppressive option for kidney transplant recipients, especially those with high infection risk, poor hematological tolerance, or comorbid hyperuricemia.

Autosomal dominant polycystic kidney disease （ADPKD） is a systemic hereditary renal disorder and can affect multiple organs， and congenital hepatic fibrosis is one of the manifestations of liver involvement and is an important complication of ADPKD. Symptomatic management is currently the main treatment method for this disease， and disease-specific drugs such as tolvaptan have limited indications and cannot correct the underlying genetic defect. This article reports a case of ADPKD with congenital hepatic fibrosis， and sirolimus was identified as the individualized treatment regimen based on peripheral blood functional genomic analysis and drug sensitivity prediction platform. The patient achieved significant improvements in symptoms and quality of life after treatment， with a stable kidney volume. This case shows that functional genomics has a potential value in guiding individualized treatment of rare genetic disorders， which provides new treatment ideas and practice paths for similar patients.

Objective To analyze the disease burden trend of non-rheumatic degenerative mitral valve disease (NR-DMVD) in China from 1990 to 2023 and compare it with global levels and those in the United States and India. Methods Based on the Global Burden of Disease (GBD) 2023 database, data on incidence, mortality, prevalence, and disability-adjusted life years (DALYs) for NR-DMVD were extracted. Joinpoint regression, decomposition analysis, and autoregressive integrated moving average model (ARIMA) were used to analyze trends, drivers, and project burden to 2040. Results In 2023, China's age-standardized DALY rate (2.56/100 000) and mortality rate (0.037/100 000) for NR-DMVD were significantly lower than those in the United States, India, and globally, while its age-standardized incidence rate (10.39/100 000) and prevalence rate (126.03/100 000) showed slow increases. From 1990 to 2023, the estimated annual percentage changes (EAPC) for China's age-standardized DALY rate and mortality rate were –2.11% [95%CI (–2.25%, –1.98%)] and –4.54% [95%CI (–4.92%, –4.16%)], respectively, while the incidence rate and prevalence rate continued to rise; India showed increasing trends in all burden indicators. Decomposition analysis indicated that population aging was the primary driver of the increase in DALYs and prevalence cases, while epidemiological improvement was the key factor that led to the reduction in the number of deaths. Joinpoint analysis showed that China's age-standardized DALY rate declined most rapidly between 2000 and 2013, while the age-standardized mortality rate decreased fastest between 2007 and 2013. ARIMA models projected that China's prevalence rate would continue to rise and mortality rate would continue to decline through 2040. Conclusion NR-DMVD in China exhibits a dual-track pattern of "declining mortality but rising prevalence", driven by population aging. A tiered prevention and control system focusing on the elderly and high-risk male groups is needed.

Against the backdrop of digital transformation in higher education， the traditional teaching model has become inadequate to meet the demands for cultivating new-quality nursing talents. Nursing ethics teaching confronts several dilemmas， such as unbalanced regional development， disconnection between theory and practice， scattered teaching resources， and fragmented knowledge points. With the iterative update of modern digital technologies， the knowledge graph， due to its structured， semantic， scalable， and multi-source integrative characteristics， offers a technological pathway to address these issues. Based on the construction foundation of the Ministry of Education’s first batch of virtual teaching and research platforms for humanistic nursing courses， the nursing ethics artificial intelligence（Al）course was developed around the“thinking-research-teaching-learning”framework. By strengthening ideological and political guidance， constructing a curriculum knowledge graph， and promoting the deep integration of humanistic care and professional knowledge，the course realized intelligent support for research，learning，and teaching. This innovative education model provides a replicable paradigm for cultivating outstanding nursing talents equipped with humanistic literacy， digital competence， and advanced ethical thinking， while also offering references for the digital transformation of higher nursing education.

To satisfy the growing healthcare demands of the public, it is essential to develop a public service platform for vaccination. This initiative aligns with national policies, optimizes resource allocation, innovates service models, enhances service efficiency, and reduces service costs. Drawing on relevant national policies and regulatory requirements, as well as the notable achievements and practical experiences gained through the exploration and innovation of vaccination service models across various regions, this paper proposes expert recommendations. It defines the essential components and functional specifications for public service platforms, focusing on public needs such as electronic vaccination record management, appointment management, the promotion of electronic vaccination certificates, vaccination certificate verification for school enrollment, vaccination site navigation, and science communication and public engagement. The recommendations aim to serve as a reference for the development of vaccination public service platforms nationwide.

Objective To develop and validate a nomogram model that integrates systemic inflammatory markers to predict the likelihood of pelvic lymph node metastasis(PLNM)in prostate cancer patients prior to surgery.Methods This study retrospectively analyzed the clinical data and preoperative inflammatory markers—including neutrophil-to-lymphocyte ratio(NLR),platelet-to-lymphocyte ratio(PLR),systemic immune-inflammation index(SII),and monocyte-to-lymphocyte ratio(MLR)—of patients diagnosed with prostate cancer.Univariate and multi-variate logistic regression analyses were conducted to identify markers that were significantly associated with PLNM.Based on the results of the multivariate analysis,a nomogram was developed and its predictive accuracy was assessed using receiver operating characteristic curves(ROC)and calibration plots.Results Among the 334 enrolled patients with prostate cancer,107 were identified with PLNM.Univariate analysis revealed statistically significant differences in free prostate-specific antigen(fPSA),Gleason score,NLR,PLR,MLR,and SII between the PLNM and non-pelvic lymph node metastasis(NPLNM)groups(P<0.05).Multivariate analysis confirmed that fPSA,Gleason score,and SII were independent predictors of PLNM(P<0.05).A nomogram incorporating these predic-tors exhibited strong discriminative ability,with an area under the ROC curve(AUC)of 0.79(95%CI:0.73～0.84).Calibration analysis further demonstrated good consistency between the predicted and observed probabilities of PLNM.Conclusions This study successfully developed a nomogram model based on systemic inflammatory markers for preoperative prediction of pelvic lymph node metastasis in prostate cancer.Owing to its user-friendly design and high predictive accuracy,this tool may serve as a valuable complementary method to conventional imaging techniques,thereby supporting personalized treatment decision-making.

Objective To analyze the efficacy of the"sandwich"technique for treating varicocele(VC).Methods A total of 310 patients with VC(365 affected veins)were selected and divided into interventional treatment group and non-interventional treatment group.The baseline data,hospitalization data,and 6-month follow-up data of the two groups were analyzed.Results The age of patients in the interventional treatment group was significantly lower than that in the non-interventional treatment group(P＜0.05).The surgical time and hospital stay in the interventional treatment group were significantly lower than those in the non-interventional treatment group(P＜0.05).In the non-interventional treatment group,two patients experienced surgical site infections,and one patient opted for interventional treatment due to recurrence after non-interventional treatment.After surgery,the diameter of the spermatic vein significantly decreased in both the interventional and non-interventional treatment(P＜0.05).Conclusion The"sandwich"technique(embolization coil combined with foam sclerotherapy)is an effective treatment for VC.

OBJECTIVE: This study aimed to explore the association between body mass index (BMI) and mortality based on the 10-year population-based multicenter prospective study. METHODS: A general population-based multicenter prospective study was conducted at four sites in rural China between 2013 and 2023. Multivariate Cox proportional hazards models and restricted cubic spline analyses were used to assess the association between BMI and mortality. Stratified analyses were performed based on the individual characteristics of the participants. RESULTS: Overall, 19,107 participants with a sum of 163,095 person-years were included and 1,910 participants died. The underweight (< 18.5 kg/m ²) presented an increase in all-cause mortality (adjusted hazards ratio [ aHR] = 2.00, 95% confidence interval [ CI]: 1.66-2.41), while overweight (≥ 24.0 to < 28.0 kg/m ²) and obesity (≥ 28.0 kg/m ²) presented a decrease with an aHR of 0.61 (95% CI: 0.52-0.73) and 0.51 (95% CI: 0.37-0.70), respectively. Overweight ( aHR = 0.76, 95% CI: 0.67-0.86) and mild obesity ( aHR = 0.72, 95% CI: 0.59-0.87) had a positive impact on mortality in people older than 60 years. All-cause mortality decreased rapidly until reaching a BMI of 25.7 kg/m ² ( aHR = 0.95, 95% CI: 0.92-0.98) and increased slightly above that value, indicating a U-shaped association. The beneficial impact of being overweight on mortality was robust in most subgroups and sensitivity analyses. CONCLUSION This study provides additional evidence that overweight and mild obesity may be inversely related to the risk of death in individuals older than 60 years. Therefore, it is essential to consider age differences when formulating health and weight management strategies.
Humans ; Body Mass Index ; China/epidemiology* ; Male ; Female ; Middle Aged ; Prospective Studies ; Rural Population/statistics & numerical data* ; Aged ; Follow-Up Studies ; Adult ; Mortality ; Cause of Death ; Obesity/mortality* ; Overweight/mortality*