Ferroptosis of chondrocytes is a significant contributor to osteoarthritis(OA),for which there is still a lack of safe and effective therapeutic drugs targeting ferroptosis.Here,we screen for anti-ferroptotic drugs in Food and Drug Administration(FDA)-approved drug library via a high-throughput manner in chondrocytes.We identified a group of FDA-approved anti-ferroptotic drugs,among which vitamin K showed the most powerful protective effect.Further study demonstrated that vitamin K effectively inhibited ferroptosis and alleviated the extracellular matrix(ECM)degradation in chondrocytes.Intra-articular injection of vitamin K inhibited ferroptosis and alleviated OA phenotype in destabilization of the medial meniscus(DMM)mouse model.Mechanistically,transcriptome sequencing and knockdown experiments revealed that the anti-ferroptotic effects of vitamin K depended on growth arrest-specific 6(Gas6).Furthermore,exogenous expression of Gas6 was found to inhibit ferroptosis through the AXL receptor tyrosine kinase(AXL)/phosphatidylinositol 3-kinase(PI3K)/AKT serine/threonine kinase(AKT)axis.Together,we demonstrate that vitamin K inhibits ferroptosis and alleviates OA progression via enhancing Gas6 expression and its downstream pathway of AXL/PI3K/AKT axis,indicating vitamin K as well as Gas6 to serve as a potential therapeutic target for OA and other ferroptosis-related diseases.

Laparoscopic pancreaticoduodenectomy(LPD) poses a high risk of intraoperative bleeding due to the complex anatomy and rich blood supply in the pancreatic head region. This paper innovatively proposes a blood flow control technique system for LPD, adopting a strategy of “priority devascularization and pre-blocking”.By first addressing the peripheral collateral blood supply and the gastroduodenal artery, and then performing dual-system pre-blocking, the dorsal pancreatic artery and the inferior pancreaticoduodenal artery are treated in situ through a combined middle and left posterior approach. This progressive blood flow control method enhances surgical safety and oncological radicality, offering a new paradigm for the development of minimally invasive pancreatic surgery.

Objective To compare the difference,agreement,and axial length measurement success rate between biometers ZW-30 and IOLMaser 700 based on swept-source optical coherence tomography for the measurement of ocular bi-ological parameters in patients with cataracts.Methods A total of 126 cataract patients(233 eyes)who were advised to undergo cataract surgery at the Department of Ophthalmology at Beijing Tongren Hospital,Capital Medical University from January to February 2024 were included in this study.Two biometers were used to measure the axial length(AL),mean keratometry(Km),anterior chamber depth(ACD),lens thickness(LT),central corneal thickness(CCT),and horizontal corneal diameter[namely,the white-to-white(WTW)distance].The axial measurement success rate of the two biometers and the difference and agreement between the parameters were calculated.Results The mean difference between ZW-30 and IOLMaster 700 was(-0.006±0.042)mm for AL,(-0.074±0.204)D for Km,(0.031±0.051)mm for ACD,(0.001±0.005)mm for CCT,and(-0.286±0.337)mm for WTW,and the differences were statistically significant(all P＜0.05).The mean difference between ZW-30 and IOLMaster 700 was(0.008±0.215)mm for LT,and the difference was not statis-tically significant(t=0.579,P=0.563).The 95％limits of agreement range was between-0.011 mm and 0.000 mm for AL,between-0.474 D and 0.326 D for Km,between-0.010 mm and 0.012 mm for CCT,between-0.068 mm and 0.131 mm for ACD,between-0.116 mm and 0.159 mm for LT,and between-0.947 mm and 0.376 mm for WTW.The intra-class correlation coefficient of all measurements ranged from 0.790 to 1.000.The AL measurement success rate of IOLMaster 700 and ZW-30 was 95.3％and 95.7％,respectively.The latter had an AL measurement success rate of 98.7％after manually marking the position of the retinal identification line.Conclusion There were statistically significant differences between ZW-30 and IOLMaster 700 in the measurement of the AL,Km,ACD,and CCT,which,however,were not clinically significant.The agreement between both was good.ZW-30 had a higher AL measurement success rate,espe-cially for the manual identification function of eyes with opacified refractive media,which can further improve the AL meas-urement success rate and provide reference for clinical work.

Objective To construct and validate a prediction model for urosepsis in patients after upper urinary tract stone surgery using various machine learning algorithms.Methods A total of 7 464 upper urinary tract stone patients who underwent surgery at the Sixth Affiliated Hospital of Guangxi Medical University from Jun.2018 to Jun.2023 were enrolled and randomly assigned to training(5 224 cases)or validation sets(2 240 cases)at a ratio of 7∶3.Among them,622(8.33%)cases developed urosepsis postoperatively.Six machine learning algorithms,including extreme gradient boosting(XGBoost),logistic regression,light gradient boosting machine(LightGBM),random forest(RF),adaptive boosting(AdaBoost),and gradient boosting decision tree(GBDT),were used to construct prediction models for postoperative urosepsis.The model's predictive ability and clinical benefits were evaluated using receiver operating characteristic(ROC)curves,Shapley additive explanation(SHAP)analysis,calibration curves,and decision curve analysis(DCA).Results The clinical features included body mass index(BMI),number of surgeries,heart rate,Barthel index,venous thrombo embolism(VTE)risk assessment,gender,American Society of Anesthesiologists(ASA)grade,urinary nitrite,and urinary leukocyte in the models.In the training set,the XGBoost,LightGBM,and RF models performed excellently,with area under curve(AUC)values of ROC curves reaching 1.00.In the validation set,the logistic regression model performed the best,with an AUC value of ROC curve of 0.76,showing good predictive stability and calibration.The AdaBoost and GBDT models followed with AUC values of 0.74 and 0.75,respectively,while the AUC values of the LightGBM,XGBoost,and RF models were 0.71,0.70,and 0.68.In terms of model interpretability,SHAP analysis showed the contribution of variables in a descending order as:heart rate,urinary leukocytes,gender,BMI,Barthel index,VTE risk assessment,urinary nitrite,number of surgeries,and ASA grade.Conclusion A logistic regression model for early risk prediction of postoperative urosepsis in upper urinary tract stone patients has been successfully constructed.This model has good predictive performance and calibration,and can effectively assist clinical diagnosis.

Objective To compare the efficacy of 2 L and 3 L polyethylene glycol(PEG)electrolyte solution for bowel preparation in a real-world setting.Methods A real-world,single-center cohort study was conducted on the individuals undergoing colonoscopy in Department of Gastroenterology of Chengdu Third People's Hospital between May and October 2023.Based on our inclusion and exclusion criteria,they were given 2 L(n=4 684)and 3 L(n=3 700)PEG electrolyte solution for bowel preparation.The primary outcome indicator was the adequacy of bowel preparation by Boston bowel preparation score(BBPS).Secondary outcome indicators included the BBPS score,polyp detection rate(PDR),tolerability,compliance,and incidence of adverse events.Results The adequacy rate of bowel preparation was 94.35％in the 3 L group,significantly higher than that of the 2 L group(91.29％,P＜0.001).The 3 L group obtained a higher BBPS score then the 2 L group(6.92±1.06 vs 6.81±1.14,P＜0.001).But there was no statistical difference in the PDR between the 2 groups(P=0.073).And the rate of PEG completion(P=0.810),administration of low residue diet as required(P=0.094)or use of dimethicone(P=0.072)were comparable between the 2 groups.However,the incidences of vomiting(4.5％vs 3.2％,P=0.002),abdominal discomfort(5.0％vs 3.9％,P=0.011)and sleep disturbance(18.0％vs 14.6％,P＜0.001)were obviously higher in the 3 L group than the 2 L group.Conclusion In a real-world setting,2 L PEG is a considerably safe and effective regimen for bowel preparation.

Objective:To observe the ultrasonographic features of idiopathic uveal effusion syndrome (IUES).Methods:A retrospective controlled study. From January 2012 to December 2023, 13 patients with IUES (26 eyes) diagnosed by ophthalmology examination in Department of Ophthalmonogy of Beijing Tongren Hospital (IUES group) and 22 healthy people with 30 eyes (control group) were included in the study. Both eyes of all participants were examined by color Doppler ultrasound (CDU) and ultrasonic biomicroscopy (UBM). The thickness of the ocular wall at 300 μm on the temporal side of the optic disc was measured by CDU. UBM was used to measure the thickness of the nasal and temporal scleral processes. Corneal thickness (CT), anterior chamber depth (AD), lens thickness (LT) and axial length (AL) were measured by A-mode ultrasound. There were no significant differences in age ( t=0.842), sex component ratio ( χ2=0.540), eye difference ( χ2=0.108) and AL ( t=0.831) between IUES group and control group ( P>0.05). The CDU and UBM imaging features and biometrics of IUES affected eyes were observed. Independent sample t test was used for comparison between groups. Results:CDU examination results showed that in 26 eyes of IUES group, choroidal detachment occurred in 20 eyes (76.9%, 20/26), which showed arc-shaped band echo connected with peripheral and equatorial eye wall echo, with uniform low echo area below, and blood flow signal could be seen on the band echo. The echo thickened and decreased in 4 eyes (15.3%, 4/26). Nine eyes (33.3%, 9/26) were accompanied by retinal detachment, which showed that the posterior pole vitreous echo was connected to the optic disc echo, and the blood flow signal was seen on the ribbon echo. UBM results showed ciliary detachment in 22 eyes (84.7%, 22/26), showing a spongy thickening of the ciliary body with interlamellar echo separation and an echoless area between the sclera. Ciliary body echo thickened and decreased in 2 eyes (7.7%, 2/26). Shallow space between ciliary body and sclera was observed in 2 eyes (7.7%, 2/26). Compared with the control group, CT ( Z=2.054), LT ( Z=1.867), scleral thickness ( Z=2.536) and ocular wall thickness ( Z=2.094) were thickened in IUES group, and AD ( Z=1.888) were decreased, with statistical significance ( P<0.05). Conclusions:The CDU of IUES is characterized by a thickened echo of the ocular wall and a uniform low echo area under the detached choroid. UBM is characterized by a spongy thickening of the ciliary body echo with interlaminar echo separation.

Objective:To observe the color Doppler flow imaging (CDFI) features of vitreoretinal lymphoma (VRL).Methods:Retrospective case series. From January 2022 to December 2024, 71 eyes of 42 patients diagnosed with VRL at the Eye Center of Beijing Tongren Hospital were enrolled. Among them, 17 were male and 25 female; 29 had bilateral and 13 unilateral involvement. Age ranged 17-78 years (median 59 years). Eleven cases had histopathologic confirmation and 31 were clinically diagnosed. All patients underwent CDFI and optical coherence tomography (OCT). CDFI findings were analyzed, noting the presence or absence of vitreous opacities (centrifugal distribution), posterior vitreous detachment (PVD), retinal detachment, and retinal elevated lesions. With Doppler overlay, blood flow within retinal lesions was assessed. The χ 2 test was used to compare the detection rates of retinal lesions by CDFI and OCT, while Cohen’s Kappa assessed agreement in identifying the depth of lymphoma cell infiltration. Results:Among 71 eyes, vitreous opacity occurred in 66 eyes (93.0%, 66/71), of which 40 eyes (60.6%, 40/66) showed centrifugal opacity. 58 eyes (81.7%, 58/71) had posterior vitreous detachment. Retinal detachment occurred in 7 eyes (9.9%, 7/71). Retinal occupying lesions occurred in 23 eyes (32.4%, 23/61), of which 15 eyes (65.2%, 15/23) showed blood flow signals on the surface of the lesions but no blood flow signals inside the lesions by CDFI, and OCT showed that tumor cells gathered under the retinal pigment epithelium. CDFI showed blood flow signals inside the lesions in 8 eyes (34.8%, 8/23), and OCT showed that tumor cells gathered between retinal neuroepithelial layers. The lesion detection rate of OCT (69.6%, 16/23) was significantly lower than that of CDFI (100.0%, 23/23) ( χ 2= 6.066, P=0.014). OCT and CDFI showed perfect agreement in determining the depth of tumor cell infiltration (Kappa=1.0). Conclusions:The ultrasonographic manifestations of VRL include vitreous opacity, PVD, and some retinal occupying lesions. Vitreous opacity often presents a characteristic centrifugal distribution. By observing whether there is blood flow signal in retinopathy using Doppler, the level of lymphoma cell infiltration can be suggested.

Objective:To construct a Harvard cancer index-based risk predictive model for perioperative venous thromboembolism (VTE) in elderly patients with femoral neck fracture and assess its predictive effectiveness.Methods:A retrospective cohort study was conducted to analyze the clinical data of 610 elderly patients with femoral neck fracture admitted to Peking Union Medical College Hospital between January 2013 and December 2022, including 193 males and 417 females, aged 60-99 years [(77.3±9.0)years]. The patients were divided into VTE group ( n=125) and non-VTE group ( n=485) according to occurrence of VTE during the perioperative period. The two groups were compared in terms of gender, age, body mass index, smoking status, alcohol consumption, time from fracture to admission, surgical waiting time, comorbidities, perioperative electrolyte disorders, past or present history of malignancy, past history of deep vein thrombosis (DVT) or pulmonary embolism (PE), and preoperative use of oral anticoagulants. Univariate analysis and multivariable stepwise Logistic regression analysis were conducted to evaluate and identify independent risk factors for perioperative VTE in elderly patients with femoral neck fracture. A perioperative VTE risk predictive model for elderly patients with femoral neck fracture was constructed using the Harvard cancer index: (1) assigning a risk score to each variable according to the corresponding conversion criteria of the Harvard cancer index and risk score, based on the magnitude of their ORs; (2) determining the exposure rate of each risk factor based on the population distribution observed in this study; (3) calculating the average population risk score; (4) computing the individual VTE risk score; (5) deriving the ratio (X) of each individual ′s VTE risk score to the population average. Based on the Harvard cancer index classification criteria for disease risk levels, individual VTE risk categories were determined. The predictive performance of the risk stratification was evaluated by comparing the incidence of VTE across different risk levels. The predictive performance of the model was evaluated based on sensitivity, specificity, and the area under the receiver operating characteristic (ROC) curve (AUC). The calibration of the model was assessed using the Hosmer-Lemeshow (H-L) test and internal validation was performed using the bootstrap resampling method with 1000 iterations. Results:Univariate analysis showed that gender, age, time from fracture to admission, surgical waiting time, previous cerebral infarction, stroke within the past month, Alzheimer′s disease, primary Parkinson′s syndrome, hysterectomy with bilateral adnexectomy, perioperative electrolyte disorders, history of DVT or PE, and preoperative use of oral anticoagulant drug were moderately associated with the occurrence of VTE in elderly patients with femoral neck fracture ( P<0.10). Multivariable stepwise logistic regression analysis demonstrated that female gender ( OR=2.26, 95% CI 1.34, 3.80, P<0.01), time from fracture to admission>1 day ( OR=3.70, 95% CI 2.24, 6.12, P<0.01), surgical waiting time>70 hours ( OR=2.06, 95% CI 1.29, 3.30, P<0.01), previous cerebral infarction ( OR=3.78, 95% CI 1.04, 13.76, P<0.05), stroke within the past month ( OR=11.57, 95% CI 1.21, 110.44, P<0.05), Alzheimer′s disease ( OR=3.26, 95% CI 1.12, 9.49, P<0.05), primary Parkinson ′s syndrome ( OR=3.47, 95% CI 1.22, 9.85, P<0.05), previous hysterectomy with bilateral adnexectomy ( OR=4.75, 95% CI 2.09, 10.80, P<0.01), perioperative electrolyte disorders ( OR=2.73, 95% CI 1.39, 5.35, P<0.01), and preoperative oral anticoagulant use ( OR=3.86, 95% CI 1.18, 12.67, P<0.05) were significantly associated with the occurrence of perioperative VTE in elderly patients with femoral neck fracture. Based on the above 10 risk factors, a perioperative VTE risk predictive model for elderly patients with femoral neck fracture was constructed with the Harvard cancer index. The formula was as follows: X=[10×(female gender)+25×(time from fracture to admission>1 day)+10×(surgical waiting time>70 hours)+25×(previous cerebral infarction)+50×(stroke within the past month)+25×(Alzheimer′s disease)+25×(primary Parkinson′s disease)+25×(previous hysterectomy with bilateral adnexectomy)+10×(perioperative electrolyte disorders)+25×(preoperative use of oral anticoagulant drug)]/33. Individualized VTE risk was classified into five levels: very low, low, moderate, high, and very high, with corresponding VTE rates of 4.8%, 11.8%, 14.9%, 32.3%, and 73.5%, respectively ( χ2=87.71, P<0.01). The VTE risk predictive model demonstrated an AUC of 0.74 (95% CI 0.69, 0.79, P<0.01), with a sensitivity of 63.2% and specificity of 74.8%. The H-L goodness-of-fit test indicated satisfactory model calibration ( P>0.05). The internal validation with the bootstrap method confirmed that the AUC remained 0.74. Conclusions:Female gender, time from fracture to admission>1 day, surgical waiting time>70 hours, previous cerebral infarction, stroke within the past month, Alzheimer′s disease, primary Parkinson′s syndrome, hysterectomy with bilateral adnexectomy, perioperative electrolyte disorders, and preoperative use of oral anticoagulant drug are independent risk factors for perioperative VTE in elderly patients with femoral neck fracture. Based on these factors, the perioperative VTE risk predictive model constructed using the Harvard cancer index demonstrates good clinical predictive value. Individualized VTE risk stratification can effectively identify high-, intermediate-, and low-risk populations, providing a valuable reference for tailoring anticoagulant prophylaxis strategies and enhancing postoperative surveillance.

Objective:To compare the results of plasma samples and histological/cytological samples for detection of lung cancer driver gene by next-generation sequencing (NGS), to provide reference for sampling selection of clinical patients.Methods:A retrospective analysis was performed on 220 patients with lung cancer who were admitted to Quanzhou First Hospital in Fujian Province from May 2017 to May 2024, and NGS detection of lung cancer driver gene was performed on both plasma samples and histological/cytological samples. Histological specimens included biopsy or surgical resection of lung cancer, cervical lymph nodes and pleural metastases; the cytological specimen was pleural fluid cell wax block. Specimens were divided into plasma group (experimental group) and matched histological and cytological group (control group). Eight gene variants recommended by the guidelines were EGFR mutation, ALK rearrangement, ROS1 rearrangement, BRAF V600 mutation, RET rearrangement, MET exon 14 jump mutation, KRAS mutation, and NTRK1/2/3 rearrangement. The detection results of the two groups of specimens were compared and analyzed.Results:Among the 220 cases, 183 were adenocarcinoma, 23 were squamous cell carcinoma and 14 were non-small cell lung cancer. There were 4 cases in stage Ⅰ, 3 cases in stage Ⅱ, 24 cases in stage Ⅲ, and 189 cases in stage Ⅳ. In the plasma group, 120 cases were positive, the detection rate was 54.5%; There were 152 positive cases in the control group, the detection rate was 69.1%; the detection rate in the plasma group was lower than that in the control group ( χ2=6.12, P<0.05). The detection rate of plasma in patients with stage Ⅰ/Ⅱ/Ⅲ was 12.9% (4/31), which was significantly lower than that in stage Ⅳ (61.4%; χ2=22.10, P<0.05). In the early clinical stage (stage Ⅰ/Ⅱ) of 7 cases, 3 cases were positive in the control group, while all were negative in the plasma group. There were 24 stage Ⅲ cases, 8 were positive in the control group and 4 were positive in the plasma group. Among the positive cases in the control group, 34 were negative and 4 were not detected in the matched plasma group. In the plasma positive cases, there were 2 negative cases and 4 partial mutations were not detected in the matched control group. Among these 6 cases, 5 were treated patients, and the mean mutation abundance of corresponding plasma positive genes was 1.5%. There were 110 cases with the same positive result (the same mutation site) and 66 cases with the same negative result, with agreement rate of 80.0% (176/220). The sensitivity and specificity of the plasma group were 75.0% (114/152) and 91.7% (110/120), respectively. Conclusions:When NGS is used for lung cancer driver gene detection, the positive rate of plasma samples is lower than that of tissue/cytology samples, but the consistency rate with the latter can reach 80%, and the sensitivity is higher than 70%, which has a good clinical detection efficiency, especially for patients with non-small cell lung cancer stage Ⅳ.

Objective:To understand the composition of infectious pathogens and the changes in the epidemic characteristics of inpatients with acute respiratory tract infections in Pudong New Area of Shanghai, from 2018 to 2023.Methods:Specimens of inpatients with acute respiratory infection cases were collected from 14 healthcare institutions in Pudong New Area, Shanghai, from 2018-2023 and tested for eight respiratory pathogens: influenza virus, adenovirus, rhinovirus, parainfluenza virus, respiratory syncytial virus, common coronavirus, metapneumovirus, and bocavirus. The groups were divided into three periods,2018-2019, 2020-2022 and 2023, and the chi-square or Kruskal-Wallis rank sum test was used to compare the group differences. The SPSS 22.0 software was used for statistical analysis.Results:Among the 3 023 inpatients with acute respiratory infection, the positive rate of any virus was 24.25% (733/3 023). The positive rates of any virus in 2018-2019, 2020-2022, and 2023 were 33.40% (336/1 006), 12.01% (116/966), and 26.74% (281/1 051), respectively, and the differences were statistically significant ( χ2=128.20, P<0.001). Among the age groups, in 2018-2019 and 2020-2022, the positive rate of any virus was the highest in the <5 years age group (46.20% and 14.64%), while in 2023, the 15-59 years age group had the highest positive rate (32.97%). The positive rate of any virus in winter was the highest in 2018-2019 (53.21%) and 2020-2022 (17.58%), and the highest in autumn was in 2023 (31.53%). The peak positive rate of respiratory syncytial virus was in winter of 2018-2019 and 2020-2022, as well as the summer of 2023.The positive rates of influenza virus in 2018-2019, 2020-2022 and 2023 were 9.84%, 1.55% and 9.71%, respectively. Conclusions:The pathogen epidemic characteristics of inpatients with acute respiratory infection in Pudong New Area from 2018 to 2023 have shown certain changes. It is necessary to strengthen monitoring. Targeted prevention and control strategies should be developed and implemented in a timely manner.