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 establish an ultra-high performance liquid chromatography-tandem mass spectrometry (UPLC-MS/MS) method based on solid-phase extraction column purification for simultaneous determination of cyromazine and melamine in poultry eggs and meat. Methods: Eggs, quail eggs, and chicken were collected from markets. After homogenization, the sample was extracted with 0.5% formic acid in acetonitrile, subjected to solid-phase extraction using an MCX cartridge, and eluted with 5% ammonia in methanol. The eluate was collected, evaporated to near dryness under nitrogen, and reconstituted in a 10% aqueous methanol solution. Separated using TSK gel Amide-80 column (2.0 mm×150 mm, 5 μm), cyromazine and melamine were simultaneously detected in positive ion multiple reaction monitoring mode via tandem mass spectrometry, with quantification achieved by isotope dilution internal standard methods. Efficiency was enhanced and matrix interference minimized by optimizing conditions such as sample extraction, solid-phase extraction cartridge selection, and instrumental parameters. Calibration curves were constructed, and detection limits, quantification limits, spiked recoveries, and relative standard deviations for (RSD) of cyromazine and melamine were calculated. Results: After method optimization, matrix effects for cyromazine and melamine ranged from 0.97 to 1.04, indicating no significant matrix suppression or enhancement. Both cyromazine and melamine exhibited excellent linearity within the concentration range of 1.0-200.0 ng/mL, with correlation coefficients ≥0.999 5. The limits of detection were 0.3 μg/kg for cyromazine and 0.5 μg/kg for melamine, the quantification limits were 1.0 and 1.5 μg/kg, respectively. At spiked levels of 1.0, 20.0, and 150.0 μg/kg, the average recoveries ranged from 78.6% to 103.1%, with RSD between 3.5% and 6.3%. Among 95 samples tested, cyromazine was detected in 6 samples and melamine in 5 samples; neither cyromazine nor melamine was detected in chicken samples. Conclusion The UPLC-MS/MS method established in this study enables simultaneous detection and accurate quantification of cyromazine and melamine in poultry eggs and meat.

Objective: To explore the risk of endometrial polyp (EP) based on lipid metabolism and vaginal micro- ecology combined with uterine volume line drawing model. Methods: 143 EP patients treated by hysteroscopic sur- gery were selected as the experimental group , and 113 healthy women were selected as the control group at the same time. The data were randomly divided into training set and validation set according to the ratio of 7 : 3. The clinical data of the two groups were collected and recorded , and t/χ2 test , LASSO regression and multifactorial lo- gistic regression analysis were used to screen the independent risk factors , construct the prediction model , and draw the column line graph. The performance of the model was evaluated by applying subject operating characteristic (ROC) curves , calibration curves , Hosmer-Lemeshow test and clinical decision-making (DCA) curves. Results: Multifactorial logistic regression analysis showed that total cholesterol ( TC) , low-density lipoprotein cholesterol (LDL-C) , vaginal microecological balance , and uterine volume were independent risk factors for the development of EP. ROC curve analysis showed that the AUC values of the training and validation sets of the column line graph model were 0. 935 and 0. 887 , respectively , and its sensitivity and specificity were 90. 21% , 83. 46% and 86. 29% , 80. 66% respectively , The Hosmer-Lemeshow test showed that the model fits well ( training set : χ2 = 2. 261 , P = 0. 840 ; validation set : χ2 = 4. 837 , P = 0. 441) and the calibration curves of the training and validation sets were close to the ideal curves , which indicated that the model had good prediction accuracy; the analysis of DCA curves of the training and validation sets both showed that the column-line graph model had a good clinical benefit rate in predicting EP. Conclusion TC , LDL-C , vaginal microecological balance and uterine volume are independent risk factors for EP , and the column-line diagram model constructed by the model has high clinical ben- efit , calibration and accuracy in predicting the risk of EP.

Objective:To explore the clinical application value of MRI ultra-short echo time sequence (MRI-UTE) in the diagnosis of pulmonary nodules.Methods:This study was a cross-sectional study. A total of 101 consecutive patients were recruited prospectively from January to August 2024 at Huazhong Fuwai Hospital of Zhengzhou University. All of the included patients were diagnosed with pulmonary nodules by chest CT examination and intended for treatment. All patients underwent low-dose CT examination and MRI-UTE examination. The number, classification, and lung imaging reporting and data system (lung-RADS) grading of the pulmonary nodules were analyzed. Nodules classification was determined as solid nodules or sub-solid nodules, and sub-solid nodules included part-solid nodules and pure ground-glass nodules. Taking the evaluation results of radiologists with 10 and 12 years of experience in chest imaging diagnosis as the reference standard, the Kappa test was used to analyze the agreement of CT and MRI-UTE in terms of the accurate diagnosis, classification, and lung-RADS grading of pulmonary nodules. Results:Among the 101 patients, a total of 216 pulmonary nodules were identified. MRI-UTE accurately diagnosed 180 pulmonary nodules, while 203 pulmonary nodules were detected by CT. The concordance was moderate ( Kappa=0.48, P<0.001). In terms of nodule classification, CT correctly classified 167 nodules as solid and 36 as sub-solid, whereas MRI-UTE correctly classified 153 as solid and 23 as sub-solid, with good agreement (weighted Kappa=0.73, P<0.001). For lung-RADS grading, CT correctly graded 186 nodules, with 85 graded as category 2, 46 as category 3, 33 as category 4A, 12 as category 4B, and 10 as category 4X; MRI-UTE correctly graded 155 nodules, with 74 graded as category 2, 30 as category 3, 30 as category 4A, 12 as category 4B, and 9 as category 4X. The agreement between the two modalities in determining lung-RADS grade was also good (weighted Kappa=0.74, P<0.001). Conclusion:MRI-UTE demonstrates good agreement with CT in the accurate diagnosis, classification, and lung-RADS grading of pulmonary nodules, indicating certain clinical application value.

Objective:To quantitatively evaluate the policy texts on mutual recognition of examination and inspection results at the national and local levels in China from 2006 to 2025 based on the PMC index model,and provide reference for policy formulation and improvement.Methods:The ROSTCM6 software was used to sort out and conduct text mining on 27 policy documents issued at the national and local levels,establishing the PMC index model for the mutual recognition of examination and inspection results in China.Quantitative analysis was conducted through a PMC evaluation system consisting of 9 first-level variables and 39 second-level variables.Results:The average PMC index was 6.06(excellent level).Among the 27 policies,4 were rated as perfect,18 as excellent,and 5 as acceptable.Conclusions:Current policies need to strengthen the formulation of scientific and feasible goals,improve legal guarantees and medical insurance coordination mechanisms,and build a complete data security maintenance system to provide policy support and guarantees for the continuous advancement of the mutual recognition of examination and inspection results.

Advances in genomics,biochemistry,and genetics have deepened our understanding of epigenetic mechanisms.These mechanisms play a crucial role in life,heredity,and evo-lution.Their growing significance is driving biomedical research toward personalized and precise medicine.Renal diseases,par-ticularly chronic kidney disease and acute kidney injury,require new treatment strategies.Their subtle clinical symptoms and challenges in early diagnosis limit current therapeutic options.Research on epigenetic modifications in renal diseases is expan-ding rapidly.This field is emerging as a promising approach for kidney disease treatment.The transition from basic mechanistic studies to clinical applications is underway.Epigenetic modifica-tions hold great potential for improving early diagnosis,enabling personalized treatment,and advancing precision medicine in re-nal diseases.

Objective:To investigate the role of platelet-derived zyxin in promoting tumor migration by platelets.Methods:The gene expression profile of platelets was analyzed from cancer patients by using the GEO database.Isolated platelets from wild-type(WT)and Zyx-/-mice were co-cultured with B16F10 cells labeled with green fluorescence to investigate the influence of zyxin deficiency on tumor cell migration,invasion,and wound healing.Optical microscopy was employed to evaluate the impact of zyxin deficiency on epithelial-mesenchymal transition(EMT)in B16F10 cells induced by platelets.Employing specific markers to label platelets,fluorescence confocal microscopy was utilized to investigate the impact of platelet-derived zyxin on the binding between tumor cells and platelets.And an aggregometer was employed to observe the influence of zyxin deficiency on tumor cell-induced platelet aggregation.Results:Compared to platelets from healthy volunteers,zyxin was upregulated in platelets from cancer patients.Zyx-/-mouse platelets exhibited a significant reduction in tumor cell invasion and migration,impaired wound healing,and delayed tumor cell EMT compared to WT mouse platelets.Additionally,zyxin deficiency attenuated the interaction between platelets and tumor cells,and diminished the capacity for tumor cell-induced platelet aggregation.Conclusion:Platelet-derived zyxin deficiency diminishes platelet-tumor cell interactions and weakens the ability of tumor cell-induced platelet aggregation,ultimately suppressing tumor cell migration.

Objective:To investigate effect of comprehensive management intervention based on WeChat multimedia classroom on cardiac function and prognosis in elderly patients with acute myocardial infarction(AMI).Methods:Clinical data of 118 elderly patients diagnosed with AMI in the Second Affiliated Hospital of Chinese PLA Air Force Military Medical University between August 2021 and December 2022 were retrospectively collected.According to nursing way after operation,they were divided into control group(n=60,comprehensive management interven-tion)and intervention group(n=58,comprehensive management intervention based on WeChat multimedia class-room),both groups were intervened for 5 months.Cardiac function,exercise tolerance,compliance to rehabilita-tion management,self-efficacy and healthy behavior were compared between two groups.Kaplan-Meier survival curve was employed to compare incidence of adverse cardiovascular events during follow-up between two groups.Results:After 5-month intervention,compared with patients in control group,those in intervention group had sig-nificant higher left ventricular ejection fraction(LVEF)[(58.14±1.88)％vs.(54.48±1.34)％],6min walking distance(6MWD)[(490.41±59.59)m vs.(394.97±28.20)m],scores of compliance to rehabilitation manage-ment[(6.97±2.03)points vs.(5.03±1.40)points],General Self-Efficacy Scale(GSES)[(30.34±4.67)points vs.(23.55±4.86)points]and Health Promoting Lifestyle Profile-Ⅱ[(137.62±30.17)points vs.(115.95±22.66)points],and significant lower left ventricular end-diastolic volume(LVEDV)[(117.90±4.22)ml vs.(131.28±3.61)ml],left ventriadar end-systolic volume(LVESV)[(54.46±2.10)ml vs.(63.15±2.06)ml],serum brain natriuretic peptide(BNP)[(362.32±25.36)pg/ml vs.(567.58±21.90)pg/ml]and incidence of ad-verse cardiovascular events(6.90％vs.21.67％)(P＜0.05 or＜0.01).Conclusion:Comprehensive management intervention based on the WeChat multimedia classroom could significantly improve cardiac function,exercise toler-ance,compliance to rehabilitation,self-efficacy and healthy behavior,and reduce incidence of adverse cardiovas-cular events after operation in elderly AMI patients.

OBJECTIVES: To report the development, validation, and findings of the Multi-dimensional Attention Rating Scale (MARS), a self-report tool crafted to evaluate six-dimension attention levels. METHODS: The MARS was developed based on Classical Test Theory (CTT). Totally 202 highly educated healthy adult participants were recruited for reliability and validity tests. Reliability was measured using Cronbach's alpha and test-retest reliability. Structural validity was explored using principal component analysis. Criterion validity was analyzed by correlating MARS scores with the Toronto Hospital Alertness Test (THAT), the Attentional Control Scale (ACS), and the Attention Network Test (ANT). RESULTS: The MARS comprises 12 items spanning six distinct dimensions of attention: focused attention, sustained attention, shifting attention, selective attention, divided attention, and response inhibition.As assessed by six experts, the content validation index (CVI) was 0.95, the Cronbach's alpha for the MARS was 0.78, and the test-retest reliability was 0.81. Four factors were identified (cumulative variance contribution rate 68.79%). The total score of MARS was correlated positively with THAT (r = 0.60, P < 0.01) and ACS (r = 0.78, P < 0.01) and negatively with ANT's reaction time for alerting (r = -0.31, P = 0.049). CONCLUSIONS The MARS can reliably and validly assess six-dimension attention levels in real-world settings and is expected to be a new tool for assessing multi-dimensional attention impairments in different mental disorders.
Humans ; Adult ; Male ; Attention/physiology* ; Female ; Middle Aged ; Reproducibility of Results ; Young Adult ; Psychometrics

Objective:To explore the effectiveness of the scaffolding teaching mode from the perspective of deep learning in basic nursing techniques course.Methods:From September 2023 to June 2024, 324 nursing students at Suzhou Vocational Health College in the 2023 cohort were selected as research subjects using convenience sampling. Three classes were designated as experimental group ( n=167), and three classes were designated as control group ( n=157). Control group received the traditional teaching mode, while experimental group received a scaffolding teaching mode from the perspective of deep learning on the basis of control group. Teaching effectiveness was evaluated using course grades, the Academic Self-Efficacy Scale, and the Measure Scale of Autonomous Learning Competencies of Nursing Undergraduates. Results:A total of 324 questionnaires were distributed and 324 valid questionnaires were collected, with a valid response rate of 100.00% (324/324). After teaching, the experimental group's nursing course grades were statistically higher than those of the control group ( P<0.05). After teaching, the experimental group's nursing students demonstrated statistically higher total scores and scores across all dimensions on the Academic Self-Efficacy Scale compared to the control group ( P<0.01). After teaching, the experimental group of nursing students scored statistically higher than the control group on the total score of the Measure Scale of Autonomous Learning Competencies of Nursing Undergraduates, as well as on the dimensions of self-management and learning cooperation ability ( P<0.01) . Conclusions:The implementation of the scaffolding teaching mode from the perspective of deep learning for basic nursing techniques course enhances vocational nursing students' academic performance, academic self-efficacy, and autonomous learning competencies.