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.

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.

With the accelerating trend of population aging, the number of elderly patients with lung cancer continues to rise, and the disease burden is becoming increasingly heavy. The clinical management of these patients faces severe challenges due to their decreased physiological reserve, complex comorbidities, and significant individual heterogeneity. Consequently, under traditional diagnosis and treatment models, doctors often struggle to identify the individualized risks of elderly patients in a timely and comprehensive manner, which can easily lead to decision biases such as undertreatment or overtreatment. In view of this, this study advocates for the establishment of an umbrella decision-making model specifically tailored for elderly lung cancer patients. Grounded in a multidisciplinary team (MDT) platform, this model deeply integrates oncological indicators with the comprehensive geriatric assessment (CGA) system. By holistically considering multidimensional variables including tumor burden, organ function, frailty index, cognitive status, and social support, the model establishes an operational mechanism characterized by "single entry, precise stratification, and targeted selection". Accordingly, patients can be scientifically triaged into distinct intervention tiers, such as active surveillance, minimally invasive surgery, drug therapy, radiotherapy, and best supportive care, thereby achieving real-time alignment between treatment intensity and patient fitness. This article elaborates on the construction logic and key operational procedures of this novel decision-making framework, aiming to guide clinical practice beyond the limitations of a tumor-centric perspective toward a holistic, dynamic, whole-course management strategy. This transition seeks to ensure optimal quality of life and clinical net benefit for elderly patients alongside survival prolongation.

OBJECTIVE: To investigate short-term effectiveness of using expert adolescent lateral femoral nail (EALFN) in treating femoral shaft fractures in older children and adolescents. METHODS: A retrospective analysis was conducted on the clinical data of 17 patients with femoral shaft fractures who met the inclusion criteria and were admitted between July 2020 and June 2024. All fractures were fixed with EALFN after reduction. There were 11 males and 6 females, with a mean age of 13.3 years (range, 11-16 years). The average body weight was 51.2 kg (range, 40-84 kg), and the average height was 162.1 cm (range, 150-172 cm). The causes of injury included traffic accidents ( n=9), falling from height ( n=1), and simple falls ( n=7). One patient had an open fracture treated with an external fixator and experienced delayed fracture healing. The remaining patients were closed fractures, with an average time from injury to operation of 5.8 days (range, 2-10 days). Operation time and postoperative hospital stay were documented. During follow-up, X-ray films were taken to observe the fracture healing, and the bilateral femoral length, femoral neck-shaft angle, widest femoral neck diameter (FND), and articular trochanteric distance (ATD) were measured at last follow-up. Hip function was assessed using the Harris score. The differences in the all indicators between the healthy and affected sides were compared. RESULTS: The operation time ranged from 65 to 130 minutes (mean, 94.1 minutes). Postoperative hospital stay ranged from 5 to 40 days (mean, 16.7 days). All patients were followed up 7-36 months (mean, 14.4 months). One patient exhibited delayed fracture healing during follow-up. The distal locking nail was removed at 6 months after operation, and partial weight-bearing was initiated following dynamic fracture stabilization. The fracture healing was achieved, and the intramedullary nail was removed at 24 months after operation. The other fractures healed with the healing time of 6-20 months (mean, 9.6 months), and the intramedullary nails were removed. During follow-up, no femoral fracture, abnormal development of the greater trochanter, or ischemic necrosis of the femoral head occurred. At last follow-up, there was no significant difference in femoral length, femoral neck-shaft angle, FND, ATD, or Harris score between the affected and healthy sides ( P>0.05). CONCLUSION For older children and adolescents with femoral neck fractures, the application of EALFN fixation aligns more closely with the principles of intramedullary central fixation and rapid rehabilitation. This approach is associated with fewer complications and superior short-term effectiveness.
Humans ; Male ; Femoral Fractures/surgery* ; Female ; Child ; Adolescent ; Retrospective Studies ; Bone Nails ; Fracture Fixation, Intramedullary/instrumentation* ; Fracture Healing ; Treatment Outcome

Objective:This study explored the effect of nanoparticle-encapsulated curcumin on the highly expressed multidrug resistance gene 1 （MDR1） in a human low-differentiated nasopharyngeal carcinoma cell line （CNE2）. Methods:Curcumin/chitosan deoxycholic acid nanoparticles were prepared, and the cells were subjected to different treatments: radiotherapy, empty carriers, curcumin, and curcumin-loaded nanoparticles. Cell survival was analyzed using the clonogenic assay, and assessments of apoptosis, MDR1 levels, and miR593 levels were conducted. Results:The cell survival fractions in the curcumin group and the curcumin-loaded nanoparticles group were significantly reduced. Notably, higher apoptosis rates were observed in cells treated with curcumin or curcumin-loaded nanoparticles compared to those that received only radiotherapy. Moreover, a decreased MDR1 level was noted in both the curcumin group and the curcumin-loaded nanoparticles group, with further reduction in MDR1 expression observed in the nanoparticle group （P<0.05）. Enhanced expression of miR593 was found in the curcumin group and the curcumin-loaded nanoparticles group, with a relatively higher level in the nanoparticle group （P<0.05）. Curcumin encapsulated in nanoparticles exhibited a stronger radiosensitizing effect. The combination of curcumin and radiotherapy effectively inhibited nasopharyngeal carcinoma （NPC） tumor growth, suppressed MDR1 expression, and enhanced miR593 levels. After inhibiting miR593, MDR1 expression increased. The radiosensitizing effect of curcumin-loaded nanoparticles was regulated by miR593 rather than being triggered by MDR1. Conclusion:Curcumin-loaded nanoparticles mediated enhanced expression of miR593, which in turn inhibited the transcription and translation of the MDR1 gene, thereby reducing the radioresistance of NPC and effectively restraining its growth.
Humans ; Curcumin/pharmacology* ; Nasopharyngeal Neoplasms/pathology* ; Nasopharyngeal Carcinoma ; Nanoparticles ; Cell Line, Tumor ; Apoptosis/drug effects* ; MicroRNAs ; ATP Binding Cassette Transporter, Subfamily B ; ATP Binding Cassette Transporter, Subfamily B, Member 1/metabolism* ; Cell Survival

Adenomyosis is a common gynecological disease characterized by the invasion of endometrial glands and stroma into the myometrium of uterus, the pathological mechanism of which remains unclear yet. Disturbed lipid metabolism extensively affects abnormal cell proliferation and invasion in various diseases. However, the lipidome signature of human myometrium, which could be crucial in the development of adenomyosis, remains unknown. In this study, we generated the first lipidome profiling of human myometrium using a high-coverage and quantitative lipidomics approach based on ultra-performance liquid chromatography (UPLC) coupled with triple quadrupole (QqQ)-mass spectrometry (MS). A total of 317 lipid species were successfully quantified in the myometrial tissues from women with (n = 38) or without (n = 65) adenomyosis who underwent hysterectomy at Peking Union Medical College Hospital (Bejing, China). Up to 83 lipid species showed significant alternations in content between the two groups. These lipid aberrations involved multiple metabolic pathways, and emphasized inflammation, cell migration, and immune dysregulation upon adenomyosis. Moreover, receiver operating characteristic (ROC) curve analysis found that the combination of five lipid species could accurately distinguished the myometrial samples from women with and without adenomyosis with an area under the curve (AUC) of 0.906. Desorption electrospray ionization MS imaging (MSI) further underscored the heterogeneous distributions of these lipid markers in the adenomyosis lesion and adjacent myometrial tissue. Collectively, these results extremely improved our understanding on the molecular basis of adenomyosis, and could shed light on developing potential biomarkers and new therapeutic directions for adenomyosis.

Objective:To investigate the level of occupational health literacy (OHL) of key populations in Gansu Province in 2022, analyze the influencing factors, and provide a scientific basis for the formulation of health education measures for occupational populations.Methods:From April to December 2022, a stratified cluster random sampling method was adopted to select 11472 workers engaged in frontline jobs in 8 key industries across 86 counties and districts in Gansu Province as the research subjects. The "National Occupational Health Literacy Monitoring and Survey Personal Questionnaire" was used to investigate their OHL. The content includes basic demographic information and occupational health literacy level, and the chi-square test analysis was carried out by SPSS 23.0 software, and the influencing factors were analyzed by logistic regression analysis model.Results:In 2022, a total of 11 118 valid questionnaires were completed in Gansu Province, and the OHL level of key populations in Gansu Province was 48.3%. The OHL levels of occupational health legal knowledge, basic knowledge of occupational health protection, basic skills of occupational health protection and healthy working methods were 50.3%, 81.7%, 33.1% and 63.3%, respectively. In the eight key industries, the OHL level of workers from high to low is: ferrous and non-ferrous metal smelting and rolling processing industry (56.6%) , non-metallic mineral products industry (56.5%) , ferrous and non-ferrous metal mining and dressing industry (54.3%) , environmental sanitation industry (50.3%) , medical and health industry (49.9%) , education industry (40.9%) , transportation industry (40.4%) , and express delivery/takeaway delivery industry (23.3%) . The results of logistics regression analysis showed that gender, age, ethnicity, marital status, education level, average monthly income, nature and scale of employers, and length of service were the influencing factors of OHL level of front-line workers in eight industries in Gansu Province (all P<0.05) . Conclusion:In 2022, the OHL level of key populations in Gansu Province was 48.3%, which needs to be further improved. Occupational health publicity should be strengthened for low-income, low-educated, newly recruited, young and micro-enterprise occupational groups.

Objective To explore the application value of CT fusion navigation technology in Stanford B-type aortic dissection endovas-cular isolation surgery.Methods Nineteen patients who underwent Stanford B-type aortic dissection endovascular isolation surgery were selected.Prior to surgery,all patients underwent chest and abdominal CT plain scan and enhanced scan,and three-dimensional vascular reconstruction was performed at the post-processing workstation;During the operation,a chest(region of interest)digital subtraction angiography(DS A)3D-CT scan was first performed as the intraoperative matching localization image.Then,a thin-layer(1.0 mm)CT enhanced tomographic image of the chest and abdomen was extracted from the picture archiving and communication system(PACS).At the same time,the DSA 3D-CT image and the thin-layer CT enhanced image were opened for overlapping regis-tration of bony landmarks.After registration,the three-dimensional vascular volume rendering(VR)image of the aorta from the thin-layer CT was fused with the DSA 3D-CT,and the positioning and release of the covered stent were guided by the newly fused multimodal real-time image.Results All 19 patients underwent guided surgery with precise positioning of the covered lesions and successful release of the covered stents,with a success rate of 100％ for the guided technique.The intraoperative placement time of the covered stent was(5.4±2.4)s,the exposure time was(12.8±3.2)min,the surgical duration was(53.9±25.3)min,the intraopera-tive contrast agent dosage was(125.8±25.3)mL,the X-ray fluoroscopy dose was(221.3±155.7)mGy,and the total X-ray exposure dose was(1 056.4±330.3)mGy.There were no serious complications during the operation,and all patients received 1-3 months of follow-up which found they all recovered well.Conclusion The use of CT and DSA fusion navigation technology in guiding the treat-ment of Stanford B-type aortic dissection with covered stents provides real-time three-dimensional fusion images for the operator,which can quickly and accurately locate and release the stent,and has certain clinical value.

Objective:To analyze the epidemiological characteristics and injury patterns of eye trauma in children and adolescents in China.Methods:A multicenter cross-sectional, retrospective, observational study. Based on the Chinese Eye Trauma Registry database, 189 patients (189 eyes) aged 0-18 years (13.4%, 189/1 412) of 1 412 patients (1 435 eyes) with eye trauma who were hospitalized from January to December 2023 were included in the study. Patients were recruited from 23 tertiary general hospitals or ophthalmology specialty hospitals located in 17 provincial-level administrative regions across six major geographical areas in China (North China, East China, South China, Central China, Northwest China, and Southwest China). The analysis focused on population characteristics, epidemiological features, injury patterns, and visual outcomes of children from different geographical regions and age groups. Among the 189 eyes, 95 eyes underwent secondary surgery. A total of 23 eyes were excluded due to non-cooperation during examination, no light perception, or only light perception. Ultimately, 72 eyes were included in the statistical analysis. Of these, 36 eyes had follow-up data and were used to observe postoperative visual outcomes.Results:Among 189 patients, 143 were males (75.7%, 143/189) and 46 were females (24.3%, 46/189). Age 8.73 (1-18) years old. The gender composition of all age groups was mainly male. The geographical distribution showed that East China had the largest number of cases, 55 (29.1%, 55/189). There were 70 cases (37.0%, 70/189) in 7-10 years old. The type analysis of eye trauma showed that in 189 eyes, mechanical ocular trauma accounted for 130 eyes, of which 105 (80.8%, 105/130) eyes had open globe injuries and 25 (19.2%, 25/130) eyes had closed globe injuries. 122 eyes received emergency surgery within 24 h after injury (accounts for 83.6% of emergency surgical cases, 122/146). In 36 eyes with complete follow-up data, the initial visual acuity distribution was: blind 23 eyes (63.9%), low visual acuity 6 eyes (16.7%), visual acuity ≥0.3 in 7 eyes (19.4%). At the last follow-up, visual acuity improved in 12 eyes (33.3%) with blindness, 8 eyes (22.2%) with low visual acuity, and 16 eyes (44.4%) with visual acuity ≥ 0.3. The final visual outcome showed that the disability rate was 22.2% (8/36) and the blindness rate was 33.3% (12/36).Conclusions:Children and adolescents account for 13.4% of the hospitalized patients with eye trauma in the same period, and there is a significant gender difference (male accounted for 75.7%). There are obvious age-specific distribution rules in the causes, locations and clinical features of eye trauma in children and adolescents of different ages.