Objective To analyze the risk factors for catheter-related thrombosis(CRT)in the upper arm infusion port(UAP)and to construct a machine-learning prediction model.Methods A total of 6028 patients,who received UAP implantation at Shanghai Renji Hospital of China from February 2014 to February 2023,were enrolled in this study.The patients were divided into training set(n=4 219)and validation set(n=1 809).Six machine-learning prediction models,including Least Absolute Shrinkage and Selection Operator(LASSO)regression,random forest,decision tree,neural network,XGBoost and logistic,were constructed,and the model having best performance was selected as the optimal model.SHapely Additive exPlanations(SHAP)analysis was used to explain the neural network model,and DALEXtra package was used to explain the continuous variables.Results The neural network model was chosen as the final model.The variables,in order of the degree of importance from high to low,included sex,the diameter of catheter,catheter tip confirmation method,the length of catheter,inpatient or outpatient status,history of central venous catheter implantation,the length of subcutaneous tunnel,age,body mass index(BMI),primary tip displacement,and left or right venous approach.The learning curve,i.e.the area under curve(AUC)of the receiver operating characteristic(ROC)curve,for the training set was＞0.6,and the Delong testing and Bootstrap Methods Test showed that the neural network model performed well(P＜0.05).The Kolmogorov-Smirnov plot(KS plot)value was 0.313 5,indicating that the model had the good ability of discrimination.The clinical impact curve(CIC)assessment revealed that the model had good clinical value.Conclusion The machine-learning prediction model of upper arm infusion port with CRT has been successfully constructed.For minimizing the risk of CRT,it is recommended to prioritize the use of 5 F diameter catheters,adopt left-sided venous approach and positioning the tip of the catheter based on anatomical measurements,besides,the catheter length should be not shorter than 36.56 cm,and the subcutaneous tunnel length should not be less than 5 cm.The basic features associated with higher CRT risk include age of 50-65 years,BMI being between 18.69 kg/m2 and 20.81 kg/m2 or between 23.68 kg/m2 and 23.94 kg/m2 and male.

Objective To investigate the efficacy of plantamajoside(PMS)on diabetic peripheral neuropathy(DPN)and to explore its mechanism of action from mitochondrial autophagy.Methods Mice(C57BL/6J)were randomly divided into 6 groups(n=10):normal group(Control),model group(Model),positive drug group(LA),and low(L-PMS),medium(M-PMS),and high(H-PMS)dosage groups.High-sugar and high-fat diet with intraperitoneal injection of streptozotocin was used to duplicate the DPN model.After successful model duplication,the intervention was administered by gavage for 4 weeks.Sciatic nerve was taken,and pathological changes were observed by HE and Nissl staining;oxidative stress indexes SOD,MDA,GSH-Px and inflammatory factors such as IL-1β,IL-6,TNF-αin sciatic nerve tissues were detected by kits,and the expression of VDAC1,TOM20,COX IV,PINK1,Parkin,and autophagy proteins of Beclin1,LC3,P62 in mouse sciatic nerves was detected by Western blotting.Results PMS dose-dependently improved the behavioral indexes of DPN mice,reduced the pathological damage of sciatic nerve,and resulted in tightly arranged sciatic nerve fibers,clearly visible myelin structure,uniform coloration,and increased number of Schwann cells as well as Nissl bodies.Compared with the model group,both the M-PMS group and the H-PMS group increased the expression levels of SOD and GSH-Px(P<0.05),while decreased the expression of MDA(P<0.05);the M-PMS group and the H-PMS groups reduced the expression of IL-1β,IL-6,and TNF-α(P<0.05);the L-PMS group,M-PMS group,and H-PMS group reduced the expression levels of VDAC1,TOM20,and COX IV proteins(P<0.05);the L-PMS group,M-PMS group,and H-PMS group could differentially increase the expression of PINK1,Beclin1,Parkin,and LC3 proteins(P<0.05),and decrease the expression of P62 proteins(P<0.05).Conclusion PMS can play a role in ameliorating neurological injury in DPN mice by promoting PINK1/Parkin pathway-mediated mitochondrial autophagy and alleviating oxidative stress-related inflammatory injury.

Objective:To investigate the value of a deep learning radiomics (DLR) nomogram model based on intra-tumoral and peri-tumoral MRI features for differentiating IgG4-related ophthalmic disease (IgG4-ROD) from orbital mucosa-associated lymphoid tissue (MALT) lymphoma.Methods:This was a case-control study. The clinical and imaging data of 233 patients pathologically confirmed with either IgG4-ROD or orbital MALT lymphoma were retrospective collected between January 2020 and December 2024 from the Second Hospital of Jilin University (Center 1) and Beijing Tongren Hospital, Capital Medical University (Center 2). Patients from Center 1 ( n=158) were used as the training cohort, while those from Center 2 ( n=75) served as the validation cohort. Among the cases, 102 were IgG4-ROD (70 in training, 32 in validation) and 131 were orbital MALT lymphoma (88 in training, 43 in validation). Univariate and multivariate logistic regression analyses were used to identify independent clinical imaging predictors and build a clinical imaging model. Based on T 1WI, T 2WI, and diffusion weighted images, intra-tumoral regions were manually delineated, a 2 mm peri-tumoral margin was automatically generated, and both regions were combined as a single region of interest for radiomics feature extraction. Deep learning features were extracted using a ResNet-50 backbone, and after feature selection and dimensionality reduction, a DLR model was constructed. The clinical imaging features and DLR features were integrated to build a combined nomogram model. Model performance in differentiating IgG4-ROD from orbital MALT lymphoma was assessed using receiver operating characteristic curves, calibration curves, and decision curve analysis. The area under the curve (AUC) were compared using the DeLong test. Results:Bilateral orbital involvement ( OR=1.983, 95% CI 1.166-2.843, P=0.046) and extraocular muscle involvement ( OR=1.246, 95% CI 1.079-1.764, P=0.015) were identified as independent predictors for distinguishing IgG4-ROD from orbital MALT lymphoma and were used to construct the clinical model. Fourteen features (9 radiomics and 5 deep learning features) were selected for the DLR model, and a nomogram was developed. In the training set, the AUCs for the clinical model, DLR model, and nomogram were 0.762 (95% CI 0.712-0.812), 0.865 (95% CI 0.822-0.908), and 0.943 (95% CI 0.909-0.953), respectively. In the validation set, the AUCs were 0.733 (95% CI 0.675-0.791), 0.823 (95% CI 0.762-0.884), and 0.924 (95% CI 0.902-0.958), respectively. The nomogram showed significantly higher AUCs than those of the clinical and DLR models alone (training set: Z=3.92, 2.87, P0.001, P=0.004; validation set: Z=3.25, 2.46, P=0.001, 0.014). Calibration curves indicated good agreement between predicted and actual IgG4-ROD incidence, and decision curve analysis demonstrated the highest net benefit for the nomogram. Conclusion:A nomogram that incorporates both intra-tumoral and peri-tumoral DLR features and clinical imaging characteristics demonstrates excellent performance in distinguishing IgG4-ROD from orbital MALT lymphoma.

Objective:To analyze the epidemiological characteristics and trends of preterm births in China using medical institution survey data, thereby providing epidemiological data support for perinatal care.Methods:Based on a nationwide sampling survey on healthcare quality data from 2017 to 2022, this study included 3 547, 4 436, 4 513, 4 535, 5 068, and 5 790 medical institutions, with 7 039 107, 8 926 441, 9 006 420, 7 051 984, 7 311 862, and 7 354 062 parturient women, respectively. The overall rates of preterm birth (live births at 28 to 36 +6 weeks of gestation/overall live births) and early preterm birth (live births at 28 to <34 weeks of gestation/overall live births) were calculated at the national level, across diverse provinces, autonomous regions, municipalities and Xinjiang Production and Construction Corps, and for various levels of medical institutions. Generalized estimating equations were used to analyze the influence of maternal characteristics and medical institution characteristics on the rates of preterm birth and early preterm birth. Results:From 2017 to 2022, both the preterm birth rate and the early preterm birth rate in China showed a continuous increase. The preterm birth rate rose from 5.13% (363 036/7 079 454) in 2017 to 6.56% (487 150/7 424 734) in 2022, and the early preterm birth rate increased from 1.32% (118 021/8 971 870) in 2018 to 1.43% (106 157/7 424 734) in 2022. These rates showed an overall increasing trend in private, secondary public specialty, and general hospitals. In tertiary public specialty hospitals, these rates fluctuated around 8.0% and 2.0% from the year 2018, respectively, while in tertiary public general hospitals, these rates peaked in 2020 at 8.63% (205 570/2 381 523) and 2.19% (52 197/2 381 523), respectively. Compared with 2017, by 2022, the preterm birth rate had increased to varying degrees in all provinces, autonomous regions, municipalities and Xinjiang Production and Construction Corps, except for Henan Province [preterm birth rate in 2017 was 6.22% (27 173/437 187); preterm birth rate in 2022 was 5.83% (37 604/645 104)]. As for the early preterm birth rate, it showed a decline in Fujian, Guangdong, Guangxi, Hainan, Henan, Jiangsu, Shanghai, Xinjiang, Yunnan, and Zhejiang, but had increased to varying degrees in all other provinces , autonomous regions, municipalities and Xinjiang Production and Construction Corps across the country. The grade and location of medical institutions both had a significant impact on the preterm birth rate and early preterm birth rate (both P<0.05). For every 1% increase in the proportions of multiparous women, women of advanced maternal age, or twin pregnancies, the preterm birth rate increased by 0.014%, 0.042%, and 0.763%, and the early preterm birth rate increased by 0.004%, 0.013%, and 0.239%, respectively (all P<0.05). Conclusion:From 2017 to 2022, the preterm birth rate and early preterm birth rate in China have continued to rise, reflecting the dual challenges of changing characteristics in the childbearing population and the uneven distribution of medical and health resources faced by maternal and child healthcare in China.

AIM:To establish a physiological-based pharmacokinetic(PBPK)model of ertapen-em in elderly patients with chronic kidney disease,and to analyze the pharmacokinetic/pharmacody-namic index f％ T＞MIC at different doses.METH-ODS:The physicochemical properties and pharma-cokinetic characteristics of ertapenem were collect-ed by reviewing the literature and databases,and a healthy adult model was established in PKSim? software,and then extrapolated to the PBPK model of the elderly.The clinical pharmacokinetic re-search data were used to optimize and validate the model,and the mean folding error(MFE)was used as the index to evaluate the prediction perfor-mance of the model.The final model was used to simulate the in vivo exposure of elderly patients with chronic kidney disease after administration,and the pharmacokinetic/pharmacodynamic index of commonly used clinical dosing regimens was an-alyzed,and the recommended dosing regimens were given.RESULTS:The MFE of the area under the curve(AUC0-t),peak concentration(Cmax)and peak time(Tmmax)predicted by the established PBPK model of ertapenem in adults were 0.92,0.79 and 1.02,respectively,and the predicted value of the optimized PBPK model of ertapenem in the elderly was also consistent with the observed value of 0.5＜MFE＜2 standards,all of which have good predictive performance.With f％ T＞MIC greater than 40％as the drug efficacy target,the minimum inhibitory concentration(MIC)is 0.5-1 μg/mL for sensitive bacteria,and elderly patients with chronic kidney disease can consider reducing the drug dose as ap-propriate.CONCLUSION:The PBPK model of ertap-enem in elderly patients with renal insufficiency has been successfully established,and the model has good prediction performance and provides a reference for clinical personalized medication in el-derly patients with renal insufficiency.

Objective:To analyze the mediating effect of post-traumatic growth between medical coping styles and compliance with rehabilitation exercise in young and middle-aged stroke patients.Methods:By convenience sampling, 217 stroke patients admitted to the Department of Neurology, Xinxiang Central Hospital from March 2023 to February 2024 were selected as the research objects. The investigation was carried out using a basic information questionnaire, Medical Coping Style Questionnaire (SCSQ), Post-Traumatic Growth Inventory (PTGI), and Exercise Compliance Questionnaire. Pearson correlation analysis was used to analyze the relationships among post-traumatic growth, medical coping styles, and compliance with rehabilitation exercise. The structural equation model was established using AMOS 21.0 software and the mediating effect was verified.Results:A total of 217 questionnaires were distributed, and 209 valid questionnaires were collected, with the valid questionnaire recovery rate being 96.31%. The PTGI score of the 209 patients was (45.62±10.52) ; the positive coping score in SCSQ was (14.05±3.46), and the negative coping score was (15.23±3.67) ; the compliance score with rehabilitation exercise was (31.62±4.38). Post-traumatic growth was positively correlated with the total and dimensional scores of positive coping and rehabilitation exercise compliance ( P<0.05), and negatively correlated with negative coping ( P<0.05) ; positive coping was positively correlated with the total scores and scores of each dimension of compliance with rehabilitation exercise ( P<0.05). Post-traumatic growth played a partial mediating role between medical coping styles and compliance with rehabilitation exercise, and the mediating effect accounted for 25.00% (0.037/0.148) of the total effect. Conclusions:In the early stage of the stable period, young and middle-aged stroke patients show obvious negative coping, have insufficient post-traumatic growth levels, and have good compliance with rehabilitation exercise, with room for improvement. Post-traumatic growth plays a partial mediating role between medical coping styles and compliance with rehabilitation exercise in young and middle-aged stroke patients.

Objective:To investigate the application effect of a family empowerment intervention based on the Caregiver Skill Model in stroke patients with dysphagia.Methods:A total of 144 stroke patients with dysphagia and their caregivers hospitalized at Xinxiang Central Hospital from February 2023 to January 2024 were selected by convenience sampling. Patients were randomly assigned using a random number generator into an observation group ( n=72) and a control group ( n=72). The control group received routine nursing care, while the observation group received an additional family empowerment intervention based on the Caregiver Skill Model. The Caregiver Competence Questionnaire for Patients with Dysphagia, Zarit Burden Interview (ZBI), Positive Aspects of Caregiving (PAC) scale were used to evaluate caregiver outcomes. Swallowing function and nutritional status of patients were also compared between the two groups. Results:One month after discharge, the ZBI score of caregivers in the observation group was lower than that in the control group, the scores of the Caregiver Competence Questionnaire and PAC were higher than those in the control group, the differences were all statistically significant ( P<0.05). The total SSA score of patients in the observation group was lower than that in the control group, and the levels of serum albumin and prealbumin were higher than those in the control group, these differences were also statistically significant ( P<0.05) . Conclusions:Family empowerment intervention based on the Caregiver Skill Model can effectively improve caregivers' competence, reduce caregiver burden, enhance positive caregiving efficacy, and improve patients' swallowing function and nutritional status.

Objective:To explore the mediating effect of sense of coherence (SOC) on the utilization of chronic disease resources and symptom distress in liver cancer patients after transarterial chemoembolization (TACE), so as to provide a basis for comprehensive management strategies from a new perspective.Methods:A convenience sampling method was used to select 260 inpatients who underwent TACE in Xinxiang Central Hospital and Henan Provincial People's Hospital from September 2023 to October 2024 as the research objects. The Basic Information Questionnaire, Sense of Coherence Scale-13 (SOC-13), Chronic Illness Resource Survey (CIRS), and the Rotterdam Symptom Checklist (RSCL) were used to investigate the patients. Pearson correlation was used to analyze the relationships among SOC, chronic disease resource utilization, and symptom distress in patients after TACE. Structural equation modeling was established using AMOS 21.0 software to verify the mediating effect.Results:A total of 260 questionnaires were distributed, and 249 valid questionnaires were recovered, with a valid recovery rate of 95.77% (249/260). The SOC-13 score of 249 patients after TACE was (44.30±7.64), the CIRS score was (46.84±7.02), and the RSCL score was (93.61±8.85). The SOC-13 score was positively correlated with the CIRS score ( P<0.01) and negatively correlated with the RSCL score ( P<0.01). The CIRS score was negatively correlated with the RSCL score ( P<0.01). SOC had a direct negative effect on symptom distress (β'=-0.382, P<0.01), chronic disease resource utilization had a direct negative effect on symptom distress (β'=-0.176, P<0.01), and SOC played a partial mediating role between chronic disease resource utilization and symptom distress (β'=-0.148, P<0.01), with the mediating effect accounting for 45.68% of the total effect. Conclusions:There are certain deficiencies in the sense of coherence and chronic disease resource utilization in patients after TACE, and the phenomenon of symptom distress is obvious. SOC plays a partial mediating role between chronic disease resource utilization and symptom distress.

Objective:To analyze the epidemiological characteristics and trends of preterm births in China using medical institution survey data, thereby providing epidemiological data support for perinatal care.Methods:Based on a nationwide sampling survey on healthcare quality data from 2017 to 2022, this study included 3 547, 4 436, 4 513, 4 535, 5 068, and 5 790 medical institutions, with 7 039 107, 8 926 441, 9 006 420, 7 051 984, 7 311 862, and 7 354 062 parturient women, respectively. The overall rates of preterm birth (live births at 28 to 36 +6 weeks of gestation/overall live births) and early preterm birth (live births at 28 to <34 weeks of gestation/overall live births) were calculated at the national level, across diverse provinces, autonomous regions, municipalities and Xinjiang Production and Construction Corps, and for various levels of medical institutions. Generalized estimating equations were used to analyze the influence of maternal characteristics and medical institution characteristics on the rates of preterm birth and early preterm birth. Results:From 2017 to 2022, both the preterm birth rate and the early preterm birth rate in China showed a continuous increase. The preterm birth rate rose from 5.13% (363 036/7 079 454) in 2017 to 6.56% (487 150/7 424 734) in 2022, and the early preterm birth rate increased from 1.32% (118 021/8 971 870) in 2018 to 1.43% (106 157/7 424 734) in 2022. These rates showed an overall increasing trend in private, secondary public specialty, and general hospitals. In tertiary public specialty hospitals, these rates fluctuated around 8.0% and 2.0% from the year 2018, respectively, while in tertiary public general hospitals, these rates peaked in 2020 at 8.63% (205 570/2 381 523) and 2.19% (52 197/2 381 523), respectively. Compared with 2017, by 2022, the preterm birth rate had increased to varying degrees in all provinces, autonomous regions, municipalities and Xinjiang Production and Construction Corps, except for Henan Province [preterm birth rate in 2017 was 6.22% (27 173/437 187); preterm birth rate in 2022 was 5.83% (37 604/645 104)]. As for the early preterm birth rate, it showed a decline in Fujian, Guangdong, Guangxi, Hainan, Henan, Jiangsu, Shanghai, Xinjiang, Yunnan, and Zhejiang, but had increased to varying degrees in all other provinces , autonomous regions, municipalities and Xinjiang Production and Construction Corps across the country. The grade and location of medical institutions both had a significant impact on the preterm birth rate and early preterm birth rate (both P<0.05). For every 1% increase in the proportions of multiparous women, women of advanced maternal age, or twin pregnancies, the preterm birth rate increased by 0.014%, 0.042%, and 0.763%, and the early preterm birth rate increased by 0.004%, 0.013%, and 0.239%, respectively (all P<0.05). Conclusion:From 2017 to 2022, the preterm birth rate and early preterm birth rate in China have continued to rise, reflecting the dual challenges of changing characteristics in the childbearing population and the uneven distribution of medical and health resources faced by maternal and child healthcare in China.

AIM:To establish a physiological-based pharmacokinetic(PBPK)model of ertapen-em in elderly patients with chronic kidney disease,and to analyze the pharmacokinetic/pharmacody-namic index f％ T＞MIC at different doses.METH-ODS:The physicochemical properties and pharma-cokinetic characteristics of ertapenem were collect-ed by reviewing the literature and databases,and a healthy adult model was established in PKSim? software,and then extrapolated to the PBPK model of the elderly.The clinical pharmacokinetic re-search data were used to optimize and validate the model,and the mean folding error(MFE)was used as the index to evaluate the prediction perfor-mance of the model.The final model was used to simulate the in vivo exposure of elderly patients with chronic kidney disease after administration,and the pharmacokinetic/pharmacodynamic index of commonly used clinical dosing regimens was an-alyzed,and the recommended dosing regimens were given.RESULTS:The MFE of the area under the curve(AUC0-t),peak concentration(Cmax)and peak time(Tmmax)predicted by the established PBPK model of ertapenem in adults were 0.92,0.79 and 1.02,respectively,and the predicted value of the optimized PBPK model of ertapenem in the elderly was also consistent with the observed value of 0.5＜MFE＜2 standards,all of which have good predictive performance.With f％ T＞MIC greater than 40％as the drug efficacy target,the minimum inhibitory concentration(MIC)is 0.5-1 μg/mL for sensitive bacteria,and elderly patients with chronic kidney disease can consider reducing the drug dose as ap-propriate.CONCLUSION:The PBPK model of ertap-enem in elderly patients with renal insufficiency has been successfully established,and the model has good prediction performance and provides a reference for clinical personalized medication in el-derly patients with renal insufficiency.