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.

ObjectiveThe frequency difference limen (FDL) serves as a fundamental metric utilized for effectively quantifying the precise perceptual capabilities of the central auditory system. However, traditional measurement methods rely heavily on the active behavioral responses of subjects and are consequently highly susceptible to the negative influence of confounding subjective factors. Furthermore, existing research paradigms frequently employ uniform stimulus configurations that overlook critical individual perceptual differences. Based on brain-computer interface (BCI) technology, this comprehensive study aims to establish an objective and quantitative evaluation method for auditory frequency discrimination by systematically analyzing and decoding the specific neural responses elicited at the exact threshold state. MethodsWe designed a personalized rapid serial auditory presentation (RSAP) paradigm customized based on each individual’s precise FDL. A cohort of eleven healthy participants was recruited to evaluate the paradigm using pure-tone sequences at a baseline frequency of 4 000 Hz. This experimental paradigm simulates a realistic auditory perception environment through the continuous presentation of acoustic stimuli, thereby allowing for an in-depth investigation into the specific neural representations evoked by weak frequency deviations at the threshold state. Given that auditory stimulus-evoked response features exhibit complex and differentiated spatiotemporal distribution patterns across multiple frequency domains, this study further deeply integrates the cross-scale feature interaction module with the dynamic spatiotemporal attention allocation strategy, innovatively proposing the Multi-Scale Spatial-Temporal Dual Attention Network (MS-STAMNet). Specifically, the network constructs parallel processing branches with multiple receptive fields and introduces a dynamic adaptive weighting strategy to precisely localize core neural activity signals, further deeply integrating multi-scale information through cross-branch feature information interaction to achieve robust single-trial decoding of weak auditory evoked responses. ResultsThe comprehensive electrophysiological data analysis demonstrated that subtle auditory frequency deviation stimuli presented at the threshold level successfully elicited pronounced N2 and P3 event-related potential features, reflecting pre-attentive mismatch detection and subsequent cognitive evaluation, which were prominently distributed over the frontal, central, and temporal regions of the scalp. In the complex time-frequency domain, the extracted neural response characteristics exhibited distinct, statistically significant event-related synchronization within both the low-frequency δ and θ frequency bands, which was simultaneously accompanied by a widespread, prominent event-related desynchronization within the higher α band. A comparative analysis of model performance demonstrated that MS-STAMNet achieved an average unweighted average recall (UAR) of (69.67±6.12)% and area under the curve (AUC) of 0.761 8±0.07, significantly outperforming the established baseline models such as EEGNet and PLNet. Furthermore, a distinct dissociation phenomenon was verified between neural decoding and behavioral performance through regression analysis (R²=0.016, P=0.709), indicating that this model can effectively capture the implicit features of subtle frequency deviations, even when they fail to trigger explicit conscious responses. Additionally, attention weight visualization analysis further reveals the highly accurate focus of the network on key features concentrated over the bilateral temporal and fronto-parietal regions. ConclusionThis study systematically and comprehensively uncovers the multi-dimensional spatiotemporal evolutionary patterns of complex neural responses processing subtle acoustic variations under long-sequence threshold auditory stimulation. Concurrently, it verifies the efficacy and robustness of the proposed MS-STAMNet architecture in accurately deciphering weak, single-trial electroencephalogram signals amidst complex background noise. Ultimately, these neurophysiological and algorithmic findings lay a solid theoretical and methodological foundation for the objective and quantitative evaluation of individual auditory cognitive capabilities in clinical applications, transcending the fundamental limitations of traditional behavioral paradigms and providing robust technical support for future auditory research and related clinical assessments.

Objective:To determine the prevalence of self-reported food allergies among children in the grasslands of North China and to analyze its associated risk factors.Methods:In this study, a cross-sectional epidemiological survey method was used to select children under 14 years old by multi-stage, stratified and random cluster sampling in the grassland ecological area of Zhangbei County, Hebei Province, China from May to July 2018. Face-to-face questionnaires were administered to gather food allergy-related information from the participants. Multivariate logistic regression analysis was used to analyze the risk factors associated with self-reported food allergy.Results:A total of 2 086 children completed the survey. The prevalence of self-reported food allergies was 22.0%(459/2 086). The prevalence of multiple food allergies (≥3 types) was 3.1%(64/2 086) versus 16.3% (341/2 086) for a single food allergy among all children. Mango allergy (6.1%, 127/2 086) was the most common, followed by peach allergy (4.1%, 85/2 086). Children who reported food allergies had a significantly higher prevalence of all 4 atopic disorders (eczema, asthma, allergic rhinitis, and allergic conjunctivitis than those without food allergies(35.73% vs. 20.65%, 5.88% vs. 2.77%, 17.86% vs. 7.38%, 16.78% vs. 10.45%, χ2 =44.663 1, 10.434 3, 45.038 3, 13.728 4, all P<0.001).Significantly associated risk factors of food allergy were found to be pollen allergy ( OR: 2.29; 95% CI: 1.80-2.92) and drug allergy ( OR: 1.53; 95% CI: 1.12-2.09). Conclusions:The prevalence of self-reported food allergies among children in the Zhangbei County area of the North China Grassland was relatively high. Pollen allergy and drug allergy are major risk factors.

Ethanol detection plays an important role in food industry,environmental monitoring,medical health monitoring,prevention of drunk driving,etc.The development of low-cost,high-performance ethanol sensors has important application value.In this study,a ZnO/FeS nano heterojunction ethanol sensor was prepared on commercial ceramic silver electrode substrate.The sensing characteristics of the sensor for ethanol gas were systematically studied.The results showed that ZnO had a nanowire structure,and the FeS was coated on the ZnO nanowire in the form of nanosheets.The sensor performed well for ethanol detection in environments with relative humidity ranging from 30%to 60%,with a detection range from 0.2 mg/m3 to 50 mg/m3.At the optimum operating temperature of 300℃,the response of ZnO/FeS nano heterojunction sensor to 50 mg/m3 ethanol was 15.6,the response time was 5.0 s,and the detection limit was as low as 0.101 mg/m3,which was obviously better than that of commercial ethanol sensor.This sensor was highly selective for ethanol compared to other gases such as CO,NH3,acetone,etc,and could steadily work for 30 days.The fabricated sensor had good development potential in the field of low-cost and high-performance ethanol gas detection.

Radiation-induced rectal injury (RRI) refers to inflammatory intestinal complications of patients with pelvic cavity, abdominal cavity and retroperitoneal tumor during or after radiotherapy, presenting symptoms such as diarrhea, abdominal pain, anal distension, bloody stool, etc. In severe cases, rectovaginal fistula, intestinal obstruction, canceration can occur, adversely affecting the quality of life of patients. The clinical factors of RRI involve total radiotherapy dose, tumor volume, radiotherapy mode and patient-related risk factors. The diagnosis mainly depends on imaging examinations (such as CT, MRI and ultrasound), endoscopy and laboratory examination. The mechanism of RRI is related to intestinal epithelial cell destruction, stem cell injury, microvascular changes and microbial flora imbalance. At present, there is no gold standard for RRI treatment, and the main measures include surgical treatment, internal medicine treatment, hyperbaric oxygen therapy and fecal microbiota transplantation, etc. In this article, the latest progress in the pathogenesis, diagnosis and treatment of RRI was reviewed.

Objective:Based on the activities of Helicobacter pylori ( HP) screening in Jiangsu Province in 2024, to evaluate the overall management ability in HP screening, testing, treatment and follow-up in primary medical facilities. Methods:From May 15 to October 18, 2024, the data of HP screening and treatment were retrospectively collected from 79 township health centers, community hospitals, and community health service centers in Jiangsu Province. The rates of screening completion, urea breath test (UBT) completion, treatment rate, UBT follow-up completion, and HP eradication were analyzed. Chi-square test was used for statistical analysis. Results:The completion rate of HP screening was 94.45% (15 489/16 400). There were 6 604 cases (42.64%) with serum HP antibody positive among the 15 489 individuals who completed screening. The positive rate of serum HP antibody in males was higher than that in females (44.77%, 2 643/5 904 vs. 41.32%, 3 961/9 585), and the difference was statistically significant ( χ2=17.69, P<0.001). The positive rates of serum HP antibody in screened individuals aged 18 to 19, 20 to 39, 40 to 59, and 60 to 75 years old were 22.38% (32/143), 36.12% (1 168/3 234), 45.01% (3 240/7 199), and 44.05% (2 164/4 913), respectively, and the difference was statistically significant( χ2=100.73, P<0.001). Among the 6 604 HP antibody-positive individuals, 4 381 cases completed UBT, with a UBT completion rate of 66.34% (4 381/6 604). There were 3 197 individuals with both HP serum antibody and UBT positive, the consistency rate of the 2 tests was 72.97% (3 197/4 381). Totally 2 737 cases received treatment, with a treatment completion rate of 85.61% (2 737/3 197); 2 327 individuals underwent UBT follow-up, with a follow-up completion rate of 85.02% (2 327/2 737). During follow-up, the result of UBT was negative in 1 982 individuals, and the HP eradication rate was 85.17% (1 982/2 327). Conclusions:There are deficiencies in the completion rate of HP screening, testing, treatment, and follow-up in primary hospitals, especially in the completion rate of UBT, which may be related to cognitive insufficiency for HP in residents. It is necessary to strengthen the training of physicians′ abilities in primary hospitals, optimize the allocation of drug resources, enhance health education, and increase residents′ participation and compliance.

Objective:To evaluate the levels and source of cadmium exposure by dietary pathway among middle-aged and elderly people ≥40 in cadmium-contaminated areas of China.Methods:A total of 7 193 people aged 40-89 years from four typical cadmium-contaminated areas in China were selected as the study subjects. Food Frequency Questionnaire (FFQ), Total Diet Study (TDS) and a 3-day-24-hour dietary recall survey were conducted. Dietary cadmium intake and food sources through dietary pathways were assessed based on cadmium content in foods, consumption amounts and intake frequencies.Results:The mean age of the participants was 63.39±12.21 years, with 50.05% being males. The average monthly dietary cadmium intake was 7.39 μg/(kg·BW). Staple foods and vegetables were the primary sources of dietary cadmium intake, accounting for 57.51% and 32.48%, respectively. The monthly dietary cadmium intake in all surveyed regions did not exceed the Provisional Tolerable Monthly Intake (PTMI) recommended by the Joint FAO/WHO Expert Committee on Food Additives (JECFA).Conclusion:The monthly dietary cadmium intake among middle-aged and elderly people in cadmium-contaminated areas of China is relatively low, with the risk remaining at an acceptable level. Staple foods and vegetables are the most significant contributors to dietary cadmium intake.

Objective:To determine the prevalence of self-reported food allergies among children in the grasslands of North China and to analyze its associated risk factors.Methods:In this study, a cross-sectional epidemiological survey method was used to select children under 14 years old by multi-stage, stratified and random cluster sampling in the grassland ecological area of Zhangbei County, Hebei Province, China from May to July 2018. Face-to-face questionnaires were administered to gather food allergy-related information from the participants. Multivariate logistic regression analysis was used to analyze the risk factors associated with self-reported food allergy.Results:A total of 2 086 children completed the survey. The prevalence of self-reported food allergies was 22.0%(459/2 086). The prevalence of multiple food allergies (≥3 types) was 3.1%(64/2 086) versus 16.3% (341/2 086) for a single food allergy among all children. Mango allergy (6.1%, 127/2 086) was the most common, followed by peach allergy (4.1%, 85/2 086). Children who reported food allergies had a significantly higher prevalence of all 4 atopic disorders (eczema, asthma, allergic rhinitis, and allergic conjunctivitis than those without food allergies(35.73% vs. 20.65%, 5.88% vs. 2.77%, 17.86% vs. 7.38%, 16.78% vs. 10.45%, χ2 =44.663 1, 10.434 3, 45.038 3, 13.728 4, all P<0.001).Significantly associated risk factors of food allergy were found to be pollen allergy ( OR: 2.29; 95% CI: 1.80-2.92) and drug allergy ( OR: 1.53; 95% CI: 1.12-2.09). Conclusions:The prevalence of self-reported food allergies among children in the Zhangbei County area of the North China Grassland was relatively high. Pollen allergy and drug allergy are major risk factors.

Objective To explore the relationship between triglyceride-glucose(TyG)index and hypertension in patients with cerebral hemorrhage.Methods A total of 1718 patients with cere-bral hemorrhage admitted to our hospital from January,2013 to May,2023 were enrolled in this study.According to the TyG index quartile,437 cases were assigned into Q1 group(≤8.375),424 cases into Q2 group(TyG index 8.376～8.737),429 cases into Q3 group(TyG index 8.738～9.087),and 428 cases into Q4 group(≥9.088).The general clinical data were compared in the four groups.Logistic regression analysis was used to study the correlation between TyG index and hy-pertension.Results There were significant differences among the four groups in terms of age,hy-pertension,diabetes,SBP,DBP,TC,TG,HDL-C,LDL-C,FBG,glycated hemoglobin and TyG in-dex(P＜0.05,P＜0.01).Logistic regression analysis showed that when the TyG index was a con-tinuous variable,it was significantly correlated with the risk of hypertension(OR=1.999,95％CI:1.393-2.869,P=0.001).When the index was used as a categorical variable,with Q1as a ref-erence,TyG index in Q3 and Q4 was associated with an increase in OR of hypertension(OR=1.869,95％CI:1.220-2.865,P=0.004;OR=1.844,95％CI:1.125-3.020,P=0.015).After ad-justing cofounders,the association of TyG index and risk of hypertension was stronger in the fe-males(OR=2.618,95％CI:1.312-5.221,P=0.006)than the males(OR=1.783,95％CI:1.151-2.761,P=0.010),and in the patients ≥65 years old(OR=3.277,95％CI:1.600-6.741,P=0.001)than those＜65 years old(OR=1.782,95％CI:1.076-2.949,P=0.025).Conclusion TyG index is closely associated with hypertension in patients with cerebral hemorrhage,especially in women and elderly.