Objective:To construct a risk classification model for adverse events of medical consumables,so as to achieve automatic evaluation for risk level of such events,and enhance the capability for risk management of adverse events of medical consumables,and ensure the safety of medical apparatuses.Methods:The data of adverse events of medical consumables of 370 cases of 148 types that were reported by Shandong Provincial Third Hospital from 2020 to 2023 were selected,and they were divided into high-risk and low-risk types.Eight key factors of them,which included the number of cases,injury level,type of registration certificate,with source and without source,high-value and low-value,domestic and imports,product classification,and risk levels,were counted to form a dataset.K-nearest neighbor(KNN),support vector machine(SVM)and decision tree algorithms in machine learning were used to construct a risk classification model for adverse events of medical consumables.The data of 12 adverse events of medical consumables of 5 types of our hospital,which were newly reported in 2024,were integrated for their parameters.Then,the accuracy rate and prediction performance of the model were further analyzed.Results:By comparing the KNN,SVM and decision tree algorithm models,the effect of SVM algorithm model was better,and its accuracy rate was 90.54%,and its area under curve(AUC)value of the receiver operating characteristic(ROC)curve was 0.944,and its Kolmogorov-Smirnov(KS)test value was 0.808.The model had favorable predictive performance.The results,that invoked SVM algorithm model to conduct verification of actual prediction for 12 adverse events of medical consumables of 5 types,indicated it was same between predictive outcomes and risk levels of manual evaluation.Conclusion:The risk classification model of adverse events of medical consumables has established an operational model for assessing the risk level of such events,which can assist monitoring personnel for adverse event of medical apparatuses to quickly and accurately find risk signals of adverse events of medical consumables,and improve the monitoring capability of them for these adverse events.

Urothelial carcinoma (UC), including bladder urothelial carcinoma and upper tract urothelial carcinoma (UTUC), is the most common malignant tumor in the urinary system. Traditional cell line models fall short in simulating its tumor microenvironment and in vivo behavior. Patient-derived organoid (PDO) models offer a new way to overcome these shortcomings. This paper reviews the construction techniques of PDO models in UC, their biological simulation capabilities, and their applications in preclinical research. It also analyzes the technical limitations of these models. PDO models can retain the histological, genomic, and transcriptomic features of the parent tumor and accurately simulate the tumor microenvironment and biological behavior. They have been widely used in bladder cancer research, providing a precise platform for drug screening, personalized treatment, and immunotherapy evaluation. However, their use in UTUC research is still in its infancy. In the future, through technological optimization, PDO models are expected to enhance their value in UC research, advancing precision medicine research and clinical translation.

Objective:To investigate the clinical outcomes of nephron-sparing surgery (NSS) for tuberous sclerosis complex(TSC) -associated renal angiomyolipoma (RAML). Methods:This retrospective case-series study analyzed the clinical data of 15 TSC-RAML patients who underwent NSS at the Department of Urology, Peking Union Medical College Hospital between April 2013 and July 2024. The cohort included 4 males and 11 females. The age at TSC diagnosis was (28.5±14.5) years (range: 5 to 62 years), and the age at first surgery was (33.3±10.8) years (range: 18 to 62 years). The maximum tumor diameter( M(IQR)) was 6.4(7.9)cm (range: 3.5 to 31.5 cm). Patient baseline characteristics, surgical approach, TSC-RAML staging, imaging findings, and laboratory data were collected. Relationships between variables were analyzed using Generalized Estimating Equations with post-hoc tests. Results:A total of 18 surgical procedures were performed on the 15 patients. These included 7 open surgeries, 9 laparoscopic surgeries, and 2 laparoscopic procedures converted to open surgery. The mean preoperative serum creatinine level was (70.2±14.2) μmol/L (range: 50 to 101 μmol/L), which increased to (99.2±29.8) μmol/L (range: 47 to 171 μmol/L) on postoperative day 1. However, at one year postoperatively, serum creatinine was (76.8±13.5)μmol/L (range: 55 to 106 μmol/L),showed no significant difference from preoperative levels ( P>0.05). At the 6-month postoperative follow-up, the Utrecht Interventional Classification stage for all treated tumors had decreased to grade 1 or 2. At the 12-month follow-up (available for 13 patients), 11 patients showed no disease progression. Conclusions:NSS is a viable treatment option for rigorously selected patients with high-stage TSC-RAML. Although NSS causes transient renal function impairment, it provides effective tumor burden control. In stringently selected patients with high-stage disease and under long-term follow-up, NSS is associated with limited long-term renal impairment.

Objective To investigate the effects of perioperative blood glucose(BG)levels on postoperative acute kidney injury(AKI)and rehabilitation in diabetic patients with coronary heart disease after coronary artery bypass grafting(CABG).Methods Randomly select data from 142 patients who underwent CABG treatment at The Fuwai Cardiovascular Hospital in Qingdao from January to December 2022,and compare the BG indicators,AKI incidence,cardiac function improvement and quality of life between good control group(n=57)and poor control group(n=85).Results The operation time,ventilator use time,postoperative ICU time,hospital stay time and various BG indexes in the good control group were significantly lower than those in the poor control group(P<0.05 or P<0.01).27 patients(19.01%)developed AKI after surgery,and the incidence of AKI in the good control group was significantly lower than that in the poor control group(10.53%vs 24.71%,P<0.05).After treatment,the cardiac function indexes in both groups were significantly improved compared with those before surgery,and the good control had significantly better cardiac function and quality of life than the poor control(P<0.05).Conclusions The incidence of AKI after CABG in patients with diabetes and coronary heart disease was 19.01%.Good perioperative BG level control can reduce the risk of postoperative AKI and help early postoperative recovery.

Objective To analyze the incidence and mortality of gastric cancer in countries and territories with different human development index(HDI)levels in 2022,and to understand the burden of gastric cancer globally and in China.Methods Data on gastric cancer incidence and mortality were collected from GLOBOCAN 2022 and HDI data for all countries were obtained from the Human development report 2022.Spearman correlation was applied to examine the associations between the age-standardized incidence rate(ASIR),age-standardized mortality rate(ASMR),mortality-to-incidence ratio(M/I),and HDI for gastric cancer.The Wilcoxon rank-sum test was used to assess the differences in ASIR and ASMR between males and females.Results In 2022,gastric cancer ranked the 5th in both incidence and mortality among all cancer types globally.In China,gastric cancer ranked the 5th in incidence and the 3rd in mortality among all cancer types.The ASIR and ASMR of gastric cancer showed a descending trend from high,very high,medium to low HDI countries and territories.The ASIR of gastric cancer was positively correlated with HDI(rs=0.256,P=0.001),while ASMR showed no significant correlation with HDI(rs=-0.008,P=0.918).The M/I was negatively correlated with HDI(rs=-0.831,P＜0.001).The ASIR and ASMR of gastric cancer in males were significantly higher than those in females globally,in China,and across all HDI groups(all P＜0.05).Globally,both ASIR and ASMR of gastric cancer remained relatively stable before the age of 45,but showed a consistently rising trend after the age of 45.In China,the ASIR and ASMR of gastric cancer exceeded global average level across all age groups.Conclusion The burden of gastric cancer incidence and mortality is higher in very high and high HDI countries and territories compared to medium and low HDI countries and territories.In China,the burden of gastric cancer incidence and mortality is above the global average,highlighting the need for targeted prevention and control measures.

Objective:This study aims to construct a quality evaluation index system for specialized disease databases. Through systematic assessment and optimization, it seeks to comprehensively enhance the quality and standardization of specialized disease cohort data. This initiative will provide more precise and reliable data support for disease research, the development of innovative drugs and medical devices, as well as policy formulation.Methods:By conducting a thorough analysis of domestic and international literature and policies related to clinical research data quality evaluation systems, preliminary quality evaluation indicators for specialized disease databases were established. Utilizing the Delphi method in two rounds, a quality evaluation system for specialized disease databases was constructed. The Analytic Hierarchy Process (AHP) and YAAHP 7.5 software were then employed to calculate the relative weights of indicators at various levels and their composite weights.Results:The two rounds of expert consultation achieved a 100.00% valid response rate, with an expert authority coefficient of 0.81 in both rounds. In the second round, the Kendall′s coordination coefficients for the first-level and second-level indicators reached 0.311 and 0.218, respectively ( P<0.05), indicating a good level of consensus among experts. The final specialized disease database quality evaluation system consists of 3 first-level indicators, 10 second-level indicators, and 32 third-level indicators. The first-level indicators include database construction, data quality, and cohort development, with weight coefficients of 31.82%, 41.49%, and 26.69%, respectively. The scientific validity of the indicator system was confirmed through reliability and validity analyses. When applied to assessing 58 specialized disease database projects from 36 medical institutions in a certain city, the results showed significant improvements in scores for database construction, data quality, and cohort development, with the most notable improvement observed in database construction. Conclusions:This study successfully developed a scientific, practical, and rationally weighted quality evaluation system for specialized disease databases, demonstrating high expert consensus and broad applicability.Validation studies have shown that this system effectively enhances the standardization and data quality of databases, providing robust technical support and assurance for specialized disease research and data resource sharing.

Objective:To observe macular vascular density and structural characteristics in children with transfusion-dependent β-thalassemia (TDT).Methods:A retrospective clinical study. From October 2022 to December 2023, 29 TDT children (58 eyes) diagnosed and examined at the Department of Hematology, Affiliated Hospital of Guangdong Medical University were included in the TDT group, along with 29 age- and gender-matched healthy children (58 eyes) as the control group. All participants underwent optical coherence tomography and angiography. Measurements included central macular thickness (CMT), subretinal choroidal thickness (SFCT), choroidal thickness (ChT), choroidal vascularity index, blood flow density in the superficial capillary plexus (SCP), deep capillary plexus (DCP), choriocapillaris layer (CC), and choroidal layer of the macular region, as well as the foveal avascular zone (FAZ) area of the SCP and DCP. A generalized estimating equation was used to compare differences in the above parameters between the two groups. Pearson correlation analysis was employed to examine the relationships between fundus structural parameters, blood flow density, and blood indices.Results:Compared with the control group, the TDT group showed significantly thinner CMT ( χ2=6.044) and ChT at 3.0 mm nasal ( χ2=4.451) and temporal ( χ2=4.767) to the fovea ( P<0.05). The TDT group also demonstrated reduced blood flow density in the inferior DCP ( χ2=5.254), whole CC ( χ2=3.996), and superior CC ( χ2=5.094), as well as enlarged FAZ area in DCP ( χ2=4.286) ( P<0.05). Correlation analysis revealed a negative correlation between SFCT and disease duration ( r=?0.357, P=0.006). Conclusions:In children with TDT, CMT and ChT become thinner and the area of FAZ expands. The blood flow densities of DCP and CC in the macular area decreased.

Objectives:To investigate the incidence of tyrosine kinase inhibitor (TKI) withdrawal syndrome and psychological issues, and their associated factors, in patients with chronic-phase chronic myeloid leukemia (CML-CP) after TKI discontinuation.Methods:We retrospectively analyzed the clinical data of CML-CP patients who discontinued TKI therapy at Peking University People's Hospital after September 2012. Logistic regression models were used to identify independent factors associated with the occurrence of TKI withdrawal syndrome and psychological issues.Results:A total of 158 patients were included, of whom 92 (58%) were female. The median age at discontinuation was 50 ( IQR, 35-60) years. With a median follow-up of 25 ( IQR, 11-49) months, the 4-year rate of sustained major molecular response (MMR) was 60% (95% CI: 51%-70%) . Fifty-one (32%) patients experienced TKI withdrawal syndrome at a median of 1.3 ( IQR, 0.5-2.0) months after TKI discontinuation. Fifty-one (32%) patients reported psychological issues such as anxiety. These concerns stemmed from fears of fluctuating BCR::ABL1 levels or disease relapse, and, for those who discontinued TKI for pregnancy, worries about adverse fetal effects and/or the fetus inheriting CML. Multivariable analyses revealed that older age at discontinuation [ P=0.003 when adjusting for TKI therapy duration; P=0.002 when adjusting for deep molecular response (DMR) duration], longer TKI therapy duration ( P=0.010) , and longer DMR duration before discontinuation ( P=0.005) were significantly associated with a higher risk of TKI withdrawal syndrome; a university degree or higher ( P=0.010) and TKI discontinuation due to pregnancy or adverse events ( P=0.001) were significantly associated with psychological issues after discontinuation. The occurrence of TKI withdrawal syndrome or psychological issues had no impact on the probability of major molecular response loss after discontinuation. Conclusion:TKI withdrawal syndrome and psychological issues are common in CML patients who discontinue TKI therapy. Older age at discontinuation and longer TKI therapy duration or DMR duration are significantly associated with TKI withdrawal syndrome. Higher education level and TKI discontinuation due to pregnancy or adverse events are significantly associated with psychological issues.

AIM: To investigate the influence of relevant inflammatory markers in peripheral blood on the progression of neovascular glaucoma(NVG)secondary to diabetic retinopathy(DR)patients.METHODS: Retrospective case-control study. Patients were categorized into two groups based on the presence or absence of NVG: those with proliferative diabetic retinopathy(PDR)alone(PDR group, n=148)and those with NVG secondary to PDR(NVG secondary to PDR group, n=142). Peripheral blood inflammatory markers were evaluated, including white blood cell-related indices, neutrophil-to-lymphocyte ratio(NLR), platelet-to-lymphocyte ratio(PLR), monocyte-to-lymphocyte ratio(MLR), and systemic immune-inflammation index(SII). The distinctions in peripheral blood inflammatory markers between the two groups of patients and their relationships with NVG secondary to PDR were analyzed.RESULTS:No statistically significant differences were observed in basic characteristics between the two groups, confirming their comparability. However, significant differences were found in eosinophil percentage and MLR between the PDR group and the NVG secondary to PDR group(all P<0.05), with both values being significantly higher in the NVG secondary to PDR group. Multivariate Logistic regression analysis revealed that the eosinophil percentage and the MLR were factors influencing the development of patients with NVG secondary to PDR.CONCLUSION: Eosinophil percentage and MLR may be associated with the progression of PDR to NVG, and could serve as potential predictive markers for NVG development in PDR patients.