1.Establishment and validation of a model for femoral head necrosis after internal fixation of femoral neck fracture using logistic regression and SHAP analysis
Long LIAO ; Zepeng ZHAO ; Zongyuan LI ; Qinglong YU ; Tao ZHANG ; Jinyuan TANG ; Nan YE ; Han XU ; Bo SHI
Chinese Journal of Tissue Engineering Research 2026;30(3):626-633
BACKGROUND:The most common complication of traumatic femoral neck fractures after internal fixation is femoral head necrosis.Currently,many studies have reported on the risk factors that affect the occurrence and development of postoperative femoral head necrosis,but there is still a lack of tools to predict the risk of femoral head necrosis after internal fixation of femoral neck fractures.OBJECTIVE:To develop a predictive model that estimates the risk of femoral head necrosis shortly after patients with femoral neck fractures receive cannulated screw internal fixation.METHODS:A retrospective analysis reviewed clinical records of 172 patients who underwent cannulated screw internal fixation for femoral neck fractures at Department of Orthopedics of Mianyang Central Hospital from January 2013 to June 2023.Patients were categorized into two groups based on the presence or absence of femoral head necrosis within one year post-operation:the necrosis group and the non-necrosis group.Univariate analysis,Lasso regression,and multivariate Logistic regression techniques were employed to identify the determinants of femoral head necrosis.A nomogram prediction model was constructed using R language's"rms"package,version 4.0.The receiver operating characteristic curve was used to evaluate the discriminatory ability of the model.The Hosmer-Lemeshow test was used to evaluate the goodness of fit of the model,and the decision curve analysis was used to determine its clinical application benefits.Internal validation of the study was conducted using the Bootstrap method,involving 1 000 repeated samplings.To delve deeper into the primary factors influencing femoral head necrosis post-internal fixation of the femoral neck,this paper employed the SHAP method for data set analysis.RESULTS AND CONCLUSION:(1)The risk factors leading to femoral head necrosis in the short term after cannulated screw fixation of femoral neck fractures include:smoking,diabetes,Garden classification,fracture line location,reduction quality,age,and operation time.(2)The prediction model demonstrated robust performance,evidenced by an area under the curve of 0.940(95%Confidence Interval:0.903 to 0.977),indicating a high level of prediction accuracy.The model achieved a sensitivity of 90.2%and a specificity of 87.6%,indicating that its diagnostic performance was stable.The Hosmer-Lemeshow goodness-of-fit test yielded a chi-square value of 6.593 with a P-value of 0.581,confirming that the model's predictions closely align with the observed outcomes.(3)The calibration curve of the model also performed well,and its overall trend was very close to the ideal curve,further proving the high accuracy of the model.(4)The internal validation was carried out by the Bootstrap method with 1 000 repeated samplings,and the area under the curve of the model internal validation was still as high as 0.939,proving that the model had good stability.(5)Through the decision curve,it is found that within the probability threshold range of 1%to 92%,the model can obtain the maximum net benefit value.(6)The SHAP analysis results show that among the risk factors analyzed in this study,the location of the fracture line serves as the most significant predictor of femoral head necrosis following internal fixation with cannulated screws in femoral neck fractures,and subcapital fractures are extremely prone to femoral head necrosis after surgery.(7)It is concluded that the validated prediction model demonstrates strong discriminative power and reliability,offering practical clinical utility.It serves as a useful reference tool for short-term risk assessment of femoral head necrosis following internal fixation of femoral neck fractures.
2.Risk prediction models for hospital readmission in patients with schizophrenia: a systematic review
Junjie YE ; Sirui HUANG ; Jiaojiao HE ; Ying WANG ; Yufeng BIAN ; Xinzhuo ZHAO
Sichuan Mental Health 2026;39(1):89-96
BackgroundIndividuals with schizophrenia are prone to higher rates of hospital readmission, presenting significant clinical challenges and imposing considerable social burdens within the mental health domain. In recent years, various risk prediction models have been developed to forecast readmission in patients with schizophrenia and support clinical decision-making, but their predictive performance and clinical applicability require comprehensive evaluation. ObjectiveTo systematically evaluate the risk prediction models for readmission in patients with schizophrenia, so as to provide insights for the development of high-performance and highly applicable readmission risk prediction models for patients with schizophrenia. MethodsOn July 5, 2025, a systematic literature search was conducted across multiple electronic databases, including PubMed, Embase, Cochrane Library, Web of Science, CINAHL, CNKI, China Biomedical Literature Database, Wanfang Database, and VIP Database, to identify risk prediction models for readmission in patients with schizophrenia. The search period was from the establishment of the databases to July 1, 2025. Two researchers independently performed literature screening, data extraction, risk of bias assessment, and applicability assessment. ResultsA total of 9 studies were included in this review, encompassing 18 risk prediction models for readmission in patients with schizophrenia. Among them, 4 models reported the area under the receiver operating characteristic (ROC) curve (AUC), ranging from 0.734 to 0.820, 16 models provided AUC values of 0.642–0.879 for internal validation, and 1 model demonstrated an AUC of 0.841 for external validation. Key predictors included disease duration and the concomitant therapy of antipsychotic medications. The risk of bias was assessed as "high" in all included studies. ConclusionThe development of risk prediction models for readmission in patients with schizophrenia remains in an exploratory stage. Although the model exhibits favorable predictive performance, it is associated with a high risk of bias and insufficient performance evaluation.
3.Effect and mechanism of folic acid-modified NK cell-derived exosomes delivering reovirus against ovarian cancer
YE Rui1,2 ; DAI Xiaofeng3 ; LIU Xiong1 ; CHEN Liang4 ; ZHANG Jing5 ; ZHANG Yingchun5 ; GUO Ting6 ; ZHAO Xing1,2
Chinese Journal of Cancer Biotherapy 2026;33(2):120-131
[摘 要] 目的:开发新型溶瘤呼肠孤病毒(Reo)递送系统,以克服中和抗体对Reo的中和作用并提升其肿瘤靶向性。方法:通过切向流过滤联合超高速离心法制备自然杀伤细胞外泌体(NKexo),叶酸(FA)修饰后采用挤压法包载Reo,构建FA-NKexo-Reo递送系统;通过透射电镜(TEM)、纳米粒径分析、蛋白质印迹(WB)法、核磁共振氢谱及流式细胞术等技术表征其理化性质;采用CCK-8、流式细胞术、Transwell实验及激光共聚焦显微镜评估FA-NKexo-Reo递送系统体外细胞毒性及细胞摄取能力;通过人卵巢癌裸鼠皮下移植瘤模型评价FA-NKexo-Reo的肿瘤靶向性、疗效及安全性。结果:FA-NKexo-Reo粒径为(94.0 ± 28.5)nm,Zeta电位为(-21.26 ± 1.57)mV,包封率达(49.7 ± 15.6)%;在中和抗体的存在下,FA-NKexo-Reo对卵巢癌细胞SKOV3和A2780仍可表现出显著的细胞毒性(P < 0.01);荷瘤鼠活体成像显示FA-NKexo-Reo肿瘤靶向性显著优于NKexo组,肿瘤抑制率提升60%(P < 0.001)。结论:成功制备FA-NKexo-Reo递送系统,在中和抗体的存在下,FA-NKexo-Reo可保护并靶向递送Reo到高表达叶酸受体的卵巢癌细胞,从而增强Reo的抗肿瘤作用。
4.Construction and validation of circadian rhythm genes-related prognostic risk model for lung adenocarcinoma
Yanqi CUI ; Hu ZHAO ; Yawei ZHANG ; Lin NI ; Duohuang LIAN ; Jingrong YANG ; Shixin YE ; Fengfeng XU ; Jincan ZHANG ; Zhiyong ZENG
Chinese Journal of Clinical Thoracic and Cardiovascular Surgery 2026;33(04):550-558
Objective To explore the relationship between circadian rhythm genes and the occurrence, development, prognosis, and tumor microenvironment (TME) of lung adenocarcinoma (LUAD). Methods The Cancer Genome Atlas data were used to evaluate the expression, copy number variation, and somatic mutation frequency of circadian gene sets in LUAD. Gene ontology, Kyoto encyclopedia of genes and genomes, and gene set enrichment analysis were used to explore the potential mechanisms by which circadian rhythm genes affected LUAD progression. Cox regression, least absolute shrinkage and selection operator regression, support vector machine recursive feature elimination, and random forest screened circadian genes and established prognostic models, and on this basis constructed nomogram to predict patients’ 1-, 3-, and 5-year survival rates. Kaplan-Meier survival curves, receiver operating characteristic (ROC) curves, and time-dependent ROC curves were drawn to evaluate the predictive ability of the model, and the external dataset of GEO further verified the prognostic value of the prediction model. In addition, we evaluated the association of the prognostic model with immune cells and immune checkpoint genes. Single cell RNA sequencing (scRNA-seq) analysis was used to explore the molecular characteristics between prognostically relevant circadian genes and different immune cell populations in TME. Results Differentially expressed circadian rhythm genes were mainly enriched in biological processes related to cGMP-PKG signaling pathway, lipid and atherosclerosis, and JAK-STAT signaling pathway. Seven circadian rhythm genes: LGR4, CDK1, KLF10, ARNTL2, RORA, NPAS2, PTGDS were screened out, and a RiskScore model was established. According to the median RiskScore, samples were divided into a high-risk group and a low-risk group. Compared with patients in the low-risk group, patients in the high-risk group showed a poorer prognosis (P<0.001). Immunological characterization analysis showed that there were differences in the infiltration of multiple immune cells between the low-risk group and high-risk group. Most immune checkpoint genes had higher expression levels in the high-risk group than those in the low-risk group, and RiskScore was positively correlated with the expression of CD276, TNFSF4, PDCD1LG2, CD274, and TNFRSF9, and negatively correlated with the expression of CD40LG and TNFSF15. The scRNA-seq analysis showed that RORA and KLF10 were mainly expressed in natural killer cells. Conclusion The prognostic model based on seven feature circadian rhythm genes has certain predictive value for predicting survival of LUAD patients. Dysregulated expression of circadian genes may regulate the occurrence, progression as well as prognosis of LUAD through affecting TME, which provides a possible direction for finding potential strategies for treating LUAD from the perspective of mechanism by which circadian disorder affects immune cells.
5.Longitudinal cohort study on pubertal development trajectories of testicular and breast development among children
Chinese Journal of School Health 2026;47(3):408-412
Objective:
To characterize longitudinal trajectories of testicular development in boys and breast development in girls, so as to provide reference data for understanding patterns of pubertal sexual maturation.
Methods:
Based on the Shanghai Pudong New Area Cohort Study on Growth, Development and Health in Children and Adolescents, a baseline survey was conducted in 2020 using a mult stage cluster random sampling method. A total of 2 184 children who completed all follow ups during the primary school period from 13 elementary schools in Pudong New Area,Shanghai,with annual follow ups during 2021-2025. Testicular volume and Tanner stage of breast development were assessed by professional physicians using standardized visual inspection and palpation. The age distribution of testicular volume and breast development was fitted by using cumulative link mixed models and Turnbull s nonparametric maximum likelihood estimation method.
Results:
Median ages for testicular volumes of 2, 3, 4 and 5 mL in boys were 7.07, 9.24, 10.29, and 11.57 years old, respectively. Median ages for Tanner breast stages Ⅱ, Ⅲ, Ⅳ, and Ⅴ in girls were 8.55 , 10.17, 11.18, and 13.78 years old, respectively. Based on overweight and obesity, stratified analysis showed that earlier pubertal onset among overweight/obesity children, and the key milestones for pubertal initiation were testicular volume reaching 4 mL in boys and breast Tanner II in girls for 10.29, 10.83; 8.18, 9.00 years.
Conclusion
Overweight and obesity are associated with earlier pubertal initiation,but there are certain gender and developmental stage specific patterns.
6.Risk identification and intervention efficacy evaluation of hospital-acquired infections in neurosurgery department based on failure mode and effect analysis
Puyu YANG ; Ye QIU ; Ya YANG ; Zhimin WEI ; Jingru ZHAO ; Weiping ZHU ; Yifeng SHEN ; Yuanping WANG
Shanghai Journal of Preventive Medicine 2026;38(2):159-164
ObjectiveTo establish a regional risk assessment system for hospital-acquired infections in neurosurgery department of general hospital, and to evaluate its prevention and control effectiveness. MethodsFailure mode and effect analysis (FMEA) was used to identify the core risk factors for infections in neurosurgery department. The risk priority number (RPN) of each risk factor was calculated to determine the priority intervention targets. Targeted interventions were developed and continuously refined through the plan-do-check-act (PDCA) cycles. Data from January to June 2023 (control group) and July to December 2023 (intervention group) were collected to compare the differences in environmental hygiene monitoring qualification rate, incidence rate of hospital-acquired infections among inpatients, and detection rate of bacterial antimicrobial resistance. ResultsHigh-risk factors for hospital-acquired infections in neurosurgery department included patient-related risk factors, inadequate implementation of isolation measures for special infections, and poor compliance with surgical site infection (SSI) prevention protocols. After intervention, the environmental hygiene qualification rate significantly increased from 81.55% to 100.00% (χ²=120.49, P<0.001). The overall hospital-acquired infection rate among inpatients decreased from 2.62% to 2.45%, the infection rate of per case declined from 3.12% to 2.84%, and the detection rate of multidrug-resistant organism infections reduced from 43.72% to 36.79%. Additionally, antimicrobial utilization rate decreased from 48.75% to 42.53% (χ²=34.09, P<0.001). ConclusionThe FMEA-based risk assessment system can effectively identify critical infection risks in neurosurgery department, and targeted interventions can significantly improve infection prevention and control performance.
7.Epidemiological characteristics and spatial-temporal aggregation of scarlet fever in Nantong City in 2009 - 2023
Chao BAO ; Junfeng MIAO ; Enhui ZHAO ; Zhenzhen LIU ; Wuhong ZHANG ; Ye WEI
Journal of Public Health and Preventive Medicine 2026;37(2):40-44
Objective To analyze the epidemiological characteristics and spatial-temporal clustering trend of scarlet fever in Nantong from 2009 to 2023, and to provide a scientific basis for scarlet fever prevention and control. Methods The incidence data of scarlet fever in Nantong from 2009 to 2023 were analyzed. Descriptive analysis, seasonal index method and Joinpoint 5.2.0 software were used to analyze epidemiological characteristics. Spatial-temporal clustering was assessed with SaTScan 10.2.5 software. Results The average annual incidence of scarlet fever in Nantong from 2009 to 2023 was 6.54/100 000. The overall morbidity rate of scarlet fever in Nantong had an increasing trend from 2009 to 2019 with an average annual percentage change of 14.55% (t=3.36,P<0.05). The cases mainly occurred during late spring to early summer and late autumn to early winter. Students, preschool children and scattered children were the main scarlet fever population. The average annual incidence of males was significantly higher than that of females (χ2=7.00, P<0.05). Rugao City, Chongchuan District and Tongzhou District were identified as high-incidence areas, accounting for 76.51% of all reported cases. Spatial-temporal scan analysis indicated that Rugao City and Chongchuan District were primary cluster areas, spanning from 2015 to 2021 (RR=3.77, LLR=1 308.07, P<0.05). Conclusion The number of reported cases of scarlet fever in Nantong City from 2009 to 2023 shows epidemic and spatial clustering, mainly concentrated in the central urban area and adjacent counties (cities). It is necessary to strengthen health education and disease surveillance in high-incidence areas, as well as in key institutions and key populations before epidemic peaks.
8.Epidemiological analysis and incidence trend prediction of mumps in Nantong City in 2016 - 2023
Enhui ZHAO ; Ye WEI ; Hongmei JIN ; Wuhong ZHANG
Journal of Public Health and Preventive Medicine 2026;37(2):84-88
Objective To analyze the epidemiological characteristics and incidence trend of mumps in Nantong City from 2016 to 2023, and to provide a basis for scientific prevention and control. Methods Descriptive statistical analysis was conducted on monthly mumps incidence data in Nantong City from 2016 to 2023, and a SARIMA model was constructed to predict the incidence trend. Results A total of 3 928 mumps cases were reported in Nantong City from 2016 to 2023, with an average annual incidence rate of 6.36/100 000. Cases predominantly occurred during April–July and September–December, showing seasonal peaks. The male-to-female ratio was 1.43:1. The cases were concentrated in individuals aged ≤15 years (85.57%), primarily students, children in childcare settings, and scattered children (88.31%). The optimal model constructed by the SPSS Expert Modeler was SARIMA(1,0,0)(0,1,1)12, predicting an epidemic peak of mumps in Nantong City from September to November in the second half of 2024. Conclusion From 2016 to 2023, mumps incidence in Nantong City has shown an overall downward trend with a seasonal bimodal distribution. Males had higher incidence rates than females, and cases were predominantly students, kindergartens and scattered children, highlighting the need to strengthen mumps prevention in schools and childcare institutions. The SARIMA model is suitable for short to medium term prediction of mumps in Nantong City. A minor peak is predicted to occur in the second half of 2024 (September–November). It is necessary to strengthen the epidemic surveillance of mumps and vaccination of age-eligible children.
9.Interpretation on the ACcurate COnsensus Reporting Document (ACCORD): Reporting Guidelines for Consensus Methods in Biomedical Research
Haodong LI ; Junxian ZHAO ; Yishan QIN ; Ye WANG ; Huayu ZHANG ; Qi ZHOU ; Yaolong CHEN
Medical Journal of Peking Union Medical College Hospital 2026;17(2):534-545
The importance of consensus research in medical decision-making has become increasinglyprominent. However, this field has long lacked unified terminology definitions and reporting standards, leading to significant heterogeneity in study design, implementation, and result presentation that affects the credibility and reproducibility of outcomes. The ACCurate COnsensus Reporting Document (ACCORD) in the field of biomedical research provides a structured writing framework for various consensus methods such as the Delphi method and nominal group technique, aiming to enhance the completeness and transparency of study reports. Combined with specific cases, this article interprets the core items of ACCORD, offering references for the design, implementation, and reporting of high-quality consensus research in China.
10.Clinical Efficacy and Economic Evaluation of 1293 Non-Severe Adult Patients with Community-Acquired Pneumonia Treated by the Jiangsu Traditional Chinese Medicine Diagnosis and Treatment Protocol for Dominant Diseases:A Multicenter,Retrospective Real-World Cohort Study
Ye MA ; Yeqing JI ; Zhichao WANG ; Fanchao FENG ; Mingzhi PU ; Hong LYU ; Xiaodong HU ; Gaohua FENG ; Xiaoqian FANG ; Guicai ZHANG ; Yanfen TANG ; Yeqing ZHANG ; Yao ZHUFU ; Wenpan PENG ; Hao WANG ; Cheng GU ; Zhichao ZHANG ; Shuang YANG ; Xinyu SUN ; Qi ZHAO ; Aojie GUO ; Xin TONG ; Zhuoyue WU ; Xiaoxiao WANG ; Jia LIU ; Hailang HE ; Xianmei ZHOU
Journal of Traditional Chinese Medicine 2026;67(9):966-974
ObjectiveTo evaluate the clinical efficacy and economic value of the Jiangsu Traditional Chinese Medicine (TCM) Diagnosis and Treatment Protocol for Dominant Diseases (abbreviated as the Diagnosis and Treatment Protocol) in adult patients with non-severe community-acquired pneumonia (CAP) based on real-world clinical data. MethodsA retrospective real-world cohort study was conducted using electronic medical records of adult patients hospitalized for non-severe CAP from September 1st, 2023 to December 31st, 2024 across 10 TCM hospitals in Jiangsu province. Patients were classified into an exposure group and a non-exposure group based on whether they received Chinese herbal medicine (CHM) according to the Diagnosis and Treatment Protocol. The non-exposure group received only conventional western medicine, while the exposure group additionally received differentiated CHM for at least five consecutive days. Outcomes were compared between two patient groups, including cough resolution rate, sputum resolution rate (assessed by volume, color, and consistency), incidence of abnormal C-reactive protein (CRP), incidence of abnormal white blood cell (WBC) count, and radiographic resolution rate of pulmonary infiltrates on chest imaging. Multivariable logistic regression was performed to identify factors influencing clinical efficacy. Subgroup analyses were conducted according to age, gender, smoking status, history of hypertension, and pneumonia severity score (CURB-65), and the efficacy of treatment for cough and sputum was analyzed within each subgroup. Cost-effectiveness analysis was conducted using cough resolution rate as the outcome measure, evaluating the pharmacoeconomics of the two groups. ResultsA total of 1688 patients were included with 1293 in the exposure group and 395 in the non-exposure group. Compared to the non-exposure group, the exposure group demonstrated significantly higher resolution rates of cough, sputum volume, color, and consistency, as well as a significantly lower incidence of abnormal CRP (P<0.05). No statistically significant difference was observed between the groups in terms of abnormal WBC count and radiographic resolution rate of pulmonary infiltrates (P>0.05). Logistic regression analysis showed that the cough resolution rate in the exposure group was 1.83 times that of the non-exposure group, while the probabilities of resolution in sputum volume, color, and consistency were 1.37, 2.09, and 1.56 times those of the non-exposure group, respectively (P<0.05). Subgroup analyses showed that the exposure group achieved significantly higher cough resolution rates across most subgroups except for populations with a CURB-65 score ≥2 or those with a history of hypertension (P<0.05). Specifically, among females, patients aged ≥18 and <65 years, non-smokers, those without hypertension, and those with a CURB-65 score of 0, the exposure group showed a higher cough resolution rate than the non-exposure group (P<0.05). From an economic perspective, total hospitalization cost, length of stay, antibiotic cost, and CHM cost all differed significantly between groups (P<0.05). The cost-effectiveness ratio (CER) was 10,788.80 CNY/case in the exposure group, while 22,513.80 CNY/case in the non-exposure group. This implies that, compared with the exposure group, the non-exposure group incurred an additional 17,302.27 CNY to achieve one case of cough resolution. When the willingness-to-pay threshold ranged from 0 to 50,000 CNY, the probability of economic advantage was consistently higher in the exposure group than in the non-exposure group. ConclusionOn the basis of conventional western medicine, the addition of CHM in accordance with the Diagnosis and Treatment Protocol can effectively improve clinical symptoms, reduce inflammatory markers, promote clinical recovery, and is more cost-effective in treating adults with non-severe CAP.


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