ObjectiveTo construct a scale for the diagnosis of chronic atrophic gastritis （CAG） with turbid toxin accumulating in the stomach. MethodsFirst， a research group was established to construct the scale framework. Relevant literature of CAG with syndrome of turbid toxin accumulating in the stomach was searched in CNKI， Wanfang Database （WF）， and VIP Database （CQVIP） from April 1， 2003 to April 1， 2023， and items were preliminarily selected after standardization of terms. Through clinical investigation， the discrete trend method， correlation coefficient method， Cronbach's coefficient method， and factor analysis method were used to screen symptom items， and the frequency method was used to screen signs， tongue coating， and pulse conditions. Three rounds of Delphi expert consultation were conducted to determine the items of the scale. The weight of each item was obtained by the analytic hierarchy process. ResultsA total of 49 articles were included， and 45 items were obtained after primary screening， including 28 symptoms， 2 signs， 10 tongue coatings， and 5 pulse conditions. After clinical investigation， 15 symptoms were retained， and 8 signs and pulse conditions of tongue coating were retained. The positive coefficients of experts in three rounds of Delphi expert consultation were 100%， 96.67%， and 100%， respectively. The expert authority coefficients were 0.86， 0.87， and 0.87， respectively， and the coordination coefficients were 0.18， 0.25， and 0.30. After core group discussion， Delphi method investigation， and AHP weight assignment， the diagnostic scale items of CAG with turbid toxin accumulating in stomach syndrome were finally established， namely， dark red or purplish tongue proper with yellow greasy （or dry） coating （30 points）， epigastric stuffiness and fullness or pain （15 points）， sticky and unsmooth defecation （10 points）， taste disturbance （sticky mouth， fetid breath， bitter taste， 7 points）， heartburn or acid regurgitation （6 points）， dizziness and clouding （5 points）， general heaviness and fatigue （5 points）， slippery， string‑slippery， or slippery‑rapid pulse （5 points）， dysuria （or yellow or deep yellow urine， 4 points）， poor appetite （4 points）， dull complexion （3 points）， sticky， greasy， and fetid secretions （3 points）， and poor sleep （3 points）. ConclusionBased on the establishment， screening， confirmation， and weighting of an item pool， combined with subjective and objective approaches as well as qualitative and quantitative methods， a diagnostic scale for CAG with the syndrome of turbid toxin accumulating in the stomach was successfully constructed.

ObjectiveTo conduct sarcopenia-related screening and assessment among community-dwelling elderly patients with type 2 diabetes mellitus (T2DM) in Changning District of Shanghai, to analyze the current status and influencing factors of suspected sarcopenia in this population, and to provide references for the early prevention and treatment of sarcopenia. MethodsUsing a stratified random sampling method, elderly T2DM patients under management in the Chronic Disease Health Management System of Changning District in Shanghai were selected as the study subjects. Patients were screened for sarcopenia and underwent related health examinations according to the Chinese Expert Consensus on Diagnosis and Treatment of Sarcopenia in the Elderly (2021). Self-designed questionnaires were used to collect basic information, lifestyle habits and health status, and the Montreal Cognitive Assessment (MoCA) was employed to evaluate cognitive function. ResultsAmong 758 elderly patients with T2DM [average age: (72.19±6.19) years old], 214 patients were identified as having suspected sarcopenia,accounting for 28.23%. The proportion of suspected sarcopenia was higher in females (30.94%) than in males (24.08%) (χ²=4.20, P=0.040), and higher in older patients (χ²=22.26, P<0.001). Higher proportions of suspected sarcopenia were also observed among patients who followed a vegetarian diet (39.77%) (χ²=73.28, P=0.011), had diabetic foot (59.09%) (χ²=10.65, P=0.001), reported feeling fatigued most of the time (37.11%) (χ²=4.33, P=0.037), or had mild cognitive impairment (χ²=3.95, P=0.047). The duration of T2DM in the suspected sarcopenia group [(12.86±10.07) years old] was longer than that in the non-sarcopenia group [(9.73±8.63) years old] (t=3.79, P<0.001), and the average body mass index (BMI) in the suspected sarcopenia group [(22.17±2.45) kg⋅m^-²)] was lower than that in the non-sarcopenia group [(25.11±3.26) kg⋅m^-²)] (t=-11.41, P<0.001). Multivariate logistic regression analyses showed that older age (OR=1.08, 95%CI:1.047‒1.110) and longer duration of T2DM (OR=1.02, 95%CI:1.005‒1.043) were associated with a higher risk of suspected sarcopenia in elderly T2DM patients. Female elderly T2DM patients had a higher risk of suspected sarcopenia (OR=1.89, 95%CI:1.310‒2.733) than males, and those with diabetic foot (OR=3.66, 95%CI:1.341‒9.990) had a higher risk than those without diabetic foot. ConclusionThe proportion of elderly T2DM patients with suspected sarcopenia was relatively high. In community-based integrated health management, healthcare providers should pay more attention to elderly T2DM patients who are older, have longer disease duration, are female, or have diabetic foot, so as to identify risks early and implement targeted comprehensive interventions and health management.

Objective To reveal the scientific output and trends in pulmonary nodules/early-stage lung cancer prediction models. Methods Publications on predictive models of pulmonary nodules/early lung cancer between January 1, 2002 and June 3, 2023 were retrieved and extracted from CNKI, Wanfang, VIP and Web of Science database. CiteSpace 6.1.R3 and VOSviewer 1.6.18 were used to analyze the hotspots and theme trends. Results A marked increase in the number of publications related to pulmonary nodules/early-stage lung cancer prediction models was observed. A total of 12581 authors from 2711 institutions in 64 countries/regions published 2139 documents in 566 academic journals in English. A total of 282 articles from 1256 authors were published in 176 journals in Chinese. The Chinese and English journals which published the most pulmonary nodules/early-stage lung cancer prediction model-related papers were Journal of Clinical Radiology and Frontiers in Oncology, respectively. Chest was the most frequently cited journal. China and the United States were the leading countries in the field of pulmonary nodules/early-stage lung cancer prediction models. The institutions represented by Fudan University had significant academic influence in the field. Analysis of keywords revealed that multi-omics, nomogram, machine learning and artificial intelligence were the current focus of research. Conclusion Over the last two decades, research on risk-prediction models for pulmonary nodules/early-stage lung cancer has attracted increasing attention. Prognosis, machine learning, artificial intelligence, nomogram, and multi-omics technologies are both current hotspots and future trends in this field. In the future, in-depth explorations using different omics should increase the sensitivity and accuracy of pulmonary nodules/early-stage lung cancer prediction models. More high-quality future studies should be conducted to validate the efficacy and safety of pulmonary nodules/early-stage lung cancer prediction models further and reduce the global burden of lung cancer.

The abnormal accumulation of neutrophil extracellular traps （NETs） can promote the initiation and progression of pancreatic cancer， which is considered a potential therapeutic target for this disease. The Miraculous Pivot·Inquiry About Statement （《灵枢·口问》） have recorded the concept of "defensive qi stagnation". Based on the recognition that the function of defensive qi is similar to the immune function of neutrophils， and combining traditional Chinese medicine theory with clinical practice， it is proposed that the abnormal accumulation of NETs may be a pathological product of "defensive qi stagnation"， with the spleen being the critical site of pathology. Further exploring the application strategy of cleaning spleen and restoring defensive qi method in pancreatic cancer treatment， it is proposed to employ three approaches such as dredging method to eliminate spleen stagnation and inhibit pancreatic cancer proliferation， cleaning method to remove spleen dampness and suppress the inflammatory micro-environment， and tonifying method to strengthen Weiqi and to improve the immune microenvironment， which aims to provide new insights for the clinical treatment of pancreatic cancer with traditional Chinese medicine.

Objective To investigate the feasibility of selectively omitting ureteral stent placement after ureteroscopic lithotripsy(URL).Methods A total of 118 patients with distal ureteral calculi undergoing URL from 2021 to 2024 were enrolled.Patients were divided into a control group(indwelling ureteral stent for 2 weeks,n=86)and an observation group(no ureteral stent placement,n=32).General data,operation time,hospital stay,and total medical costs were compared between the two groups.Patients were followed 2 weeks postoperatively for assessment of flank pain visual analogue scale(VAS)scores,bladder irritation symptoms,hematuria,and incidence of urinary tract infection.Hydronephrosis was evaluated by ultrasonography 3 months after surgery.Results There was no significant difference in the general information and operation time between the two groups(P>0.05).The length of hospital stay and total treatment cost in the observa-tion group were significantly lower than those in the control group(P<0.05).Two weeks after surgery,the VAS scores of low back pain on the affected side and occurrence rates of bladder irritation symptoms,hematu-ria,and urinary tract infection in the observation group were significantly lower than those in the control group(P<0.01).Three months after operation,no hydronephrosis was observed in both groups.Conclusion It is safe and feasible to avoid indwelling ureteral stent after URL in appropriate cases.

Sarin(GB)is a typical representative of nerve agents with high toxicity,and very low amount can cause death.GB can cause water and atmospheric environment poisoning,so the detection of GB in water and air is of great significance.In this work,a colorimetric sensor array(CSA)based on GB inhibition of cholinesterase activity was constructed to detect GB with high selectivity.A 4×4 colorimetric array was constructed using acetylcholinesterase(AChE),butyryl cholinesterase(BuChE)and the corresponding substrate acetylthiocholine iodide(S-ACh),butyryl thiocholine iodide(S-BCh),acetylcholine chloride(ACh),butyryl choline chloride(BCh)and 2,6-dichloroindophenol ethyl ester(DCIE).The linear curve of the sensor was Y=131.3×lgC+271.6(R2=0.997),where Y was the array response Euclidean distance,C was the concentration of GB(mg/L),the linear range was 0.03?0.32 mg/L,and the detection limit was 27.6 μg/L.The method could effectively distinguish chemical warfare agents(CWA)such as VX,Soman(GD),mustard gas(HD),Louie reagent(L),and had high anti-interference ability,sensitivity and good repeatability.It was successfully applied to the detection of GB in simulated water and simulated air samples,and the sample recovery rate was 97.2% ?100.9%.This method would be potentially applied to the field rapid detection of nerve agents.

A novel analytical method was developed in this study by combining online solid phase extraction with ultra performance liquid chromatography-tandem mass spectrometry(Online SPE-UPLC-MS/MS)for simultaneous determination of 50 kinds of steroid hormones in surface water.Specifically,after high-speed centrifugation of 4 mL water samples,the supernatant was directly injected into an Oasis HLB online SPE column for enrichment and purification.Subsequently,the target compounds were transferred to the analytical column via valve switching for separation and analysis.The chromatographic separation was performed on a Thermo Acclaim RSLC C18 column(100 mm×2.1 mm,2.2 μm),using a mobile phase composed of 5 mmol/L ammonium fluoride aqueous solution and acetonitrile.Mass spectrometric detection was conducted in positive ion mode,utilizing multiple reaction monitoring(MRM)with quantification achieved by the internal standard method.The method validation demonstrated that the limits of detection(LOD)for the 50 kinds of steroid hormones ranged from 0.02 to 0.50 ng/L,while the limits of quantification(LOQ)were between 0.08 and 1.67 ng/L.The average recoveries in surface water samples at spiked concentrations of 5,20 and 200 ng/L were between 74.1％and 119％,with relative standard deviations(RSDs)of 0.2％to 9.9％.This method was applied to analyze 11 surface water samples collected from sites surrounding a pharmaceutical and chemical industrial park.A total of 44 kinds of steroid hormones were detected,with concentrations ranging from 0.11 to 88.6 ng/L,revealing the presence of hormone contamination in the environmental waters surrounding industrial areas.Compared with the traditional offline SPE methods,the proposed online SPE technique significantly reduced sample volume requirements and pretreatment time,while minimizing the loss of target compounds during the pretreatment process.Moreover,compared to reported online SPE techniques,this method achieved high-throughput analysis of multiple classes of steroid hormones,with lower detection limits and higher recoveries.Overall,this method provided rapid sample preparation,high sensitivity,and excellent stability,making it suitable for the direct analysis of trace steroid hormones in surface water.

Gender recognition based on the analysis of fingerprint residue can assist investigators in narrowing down the scope of investigation and play an important role in the field of criminal investigation.This study established a quantitative analysis method for lipid substances in fingerprints based on gas chromatography-mass spectrometry(GC-MS).Fatty acids in fingerprints were methylated using sulfuric acid methanol derivatization reagent(7%,V/V),the extraction reagent was dichloromethane-methanol(1∶1,V/V)solution,the reaction temperature was 70℃and the heating time was 45 min.Quantitative analysis of the relative content of 23 kinds of fatty acids and squalene in fingerprints residue by different genders was conducted,and orthogonal partial least squares-discriminant analysis(OPLS-DA)was used to reduce the dimensionality of the quantitative results.A total of 13 kinds of components in the fingerprints were selected to maximize the difference in relative content between male and female fingerprints.Three machine learning models,including binary logistic regression(BLR),support vector machine(SVM)and random forest(RF),were further used as feature variables to classify the gender of fingerprints.The classification performance of each model was compared through five indicators,and it was found that the most suitable model for binary classification of fingerprint gender was SVM model.The results showed that the SVM fingerprint residual gender binary classification model established based on the relative content data of 13 kinds of lipid substances in fingerprints achieved a classification accuracy of 90%and an area under the receiver operating characteristic curve(AUC)value of 0.98.This study provided a new research method for detecting lipid components in fingerprints and a methodological basis for gender recognition of fingerprints.

Forensic medicine has been designated as a first-level discipline,presenting new opportunities and challenges for the development of forensic medicine.Since the 1980s,the establishment of foren-sic medicine discipline and the cultivation of high-level forensic talents have become hot topics in the development of forensic medicine in China.Since the 13th Five-Year Plan,the forensic team of Shanxi Medical University has been aiming at the forefront,proposing the development goals of"Five First-class"and the discipline development path"Six Major Achievements".It has selected benchmark disci-plines,identified gaps in disciplinary development,unified thoughts,formulated completion timelines,concentrated superior resources,assigned tasks to individuals,and created an"Organized Fill-in-the-Blank Format"forensic medicine discipline construction model with the characteristics of the new era.The construction model of forensic medicine has achieved good results in the goals,discipline frame-work,scientific research,talent cultivation,discipline team and platform construction,forming a rela-tively complete discipline construction and management system,and accumulating valuable experience for the construction of first-level discipline and high-level talent cultivation of forensic medicine.

Objective To evaluate the performance and clinical application value of EasyNAT nucleic acid test kits for influenza A virus(Flu A),influenza B virus(Flu B),and Mycoplasma pneumoniae(MP)based on cross-primed amplification(CPA)technology.Methods In compliance with relevant standards,the detection limits,cross-reactivity,and anti-interference abilities of the EasyNAT Flu and MP nucleic acid test kits were validated using influenza(Flu)and MP reference materials.Additionally,a total of 811 suspected Flu or MP infection patients who visited the hospital from January 1 to July 5,2024 were enrolled in this study.Their oropharyngeal swabs were collected and tested using reverse transcription quantitative polymerase chain reac-tion(RT-qPCR)as the gold standard to evaluate the concordance and compliance of the EasyNAT Flu and MP nucleic acid test kits,thus assessing their clinical application value.Results The EasyNAT Flu and MP nucleic acid test kits yielded positive results in 8 repeated tests at the detection limit concentrations of the ref-erence materials.No pathogen-specific peaks were detected in Flu and MP negative samples that had been spiked with common cross-reacting pathogens.Furthermore,the detection results of Flu or MP positive sam-ples were unaffected by the presence of interfering substances.Among the 811 clinical samples,the sensitivity of the EasyNAT Flu A test was 97.33%,and the sensitivity for Flu B was 98.47%,both with a specificity of 98.04%.The EasyNAT MP nucleic acid test showed a sensitivity of 97.95%and specificity of 99.03%.The results demonstrated a high degree of agreement with RT-qPCR(Kappa values were over 0.900).Further-more,detection rates of the EasyNAT Flu test kits showed no difference in positive samples with different Ct values(Flu A:χ2=4.20,P=0.08;Flu B:χ2=2.22,P=0.31)and MP test kits showed significant differences in positive samples with different cycle threshold values(χ2=11.84,P<0.01).Conclusion The EasyNAT Flu and MP nucleic acid test kits exhibit excellent detection performance with high sensitivity and specificity.Moreover,the products are easy to operate,offer rapid detection,and provide accurate results.These features make them suitable for primary healthcare settings,with significant potential for clinical application.