Background Large-for-gestational-age (LGA) births are associated with adverse perinatal outcomes and increased risks of offspring obesity, metabolic syndrome, and cardiovascular diseases later in life. Beyond traditional risk factors, exposure to environmental factors, especially fine particulate matter (PM_2.5), before and during pregnancy may contribute to excessive fetal growth; however, the roles of specific chemical constituents and critical exposure windows remain unclear. Objective To examine the associations between maternal exposures to PM_2.5 and its chemical constituents before and during pregnancy and the risk of delivering LGA infants. Methods Singleton pregnancies from the National Free Preconception Health Examination Project between 2010 and 2014 were included. Individual exposures to PM_2.5 and its constituents were estimated for preconception and pregnancy windows using geocoded residential addresses. The associations of single and mixed exposures with LGA risk were analyzed using generalized linear models (GLMs) and qg-computation. Results Exposures to PM_2.5 and its major chemical constituents were significantly associated with an increased LGA risk, with differences in effect magnitude across components. Secondary inorganic aerosols showed the strongest associations. For full-pregnancy exposure, nitrate (OR=1.330, 95%CI: 1.313, 1.347), ammonium (OR=1.279, 95%CI: 1.263, 1.295), and sulfate (OR=1.242, 95%CI: 1.227, 1.257) had larger effects on LGA risk than black carbon and organic matter. Analysis by exposure window indicated that the month preceding conception and the third trimester of pregnancy were critical exposure windows for susceptibility, while the strongest effect was observed for full-pregnancy exposure, suggesting a cumulative effect over time. Mixed exposure analysis further showed that nitrate and sulfate consistently accounted for the main positive contributions across different time windows. Conclusion Maternal exposures to PM_2.5 and its chemical components before and during pregnancy are associated with an elevated LGA risk. Nitrate and sulfate show consistent and strong associations across pregnancy stages, underscoring the importance of component composition and exposure timing in fetal overgrowth.

OBJECTIVE: This study examines utilizes the advantages of machine learning algorithms to discern key determinants in prognosticate postoperative circulatory complications (PCCs) for older patients. METHODS: This secondary analysis of data from a randomized controlled trial involved 1,720 elderly participants in five tertiary hospitals in Beijing, China. Participants aged 60-90 years undergoing major non-cardiac surgery under general anesthesia. The primary outcome metric of the study was the occurrence of PCCs, according to the European Society of Cardiology and the European Society of Anaesthesiology diagnostic criteria. The analysis metrics contained 67 candidate variables, including baseline characteristics, laboratory tests, and scale assessments. RESULTS: Our feature selection process identified key variables that significantly impact patient outcomes, including the duration of ICU stay, surgery, and anesthesia; APACHE-II score; intraoperative average heart rate and blood loss; cumulative opioid use during surgery; patient age; VAS-Move-Median score on the 1st to 3rd day; Charlson comorbidity score; volumes of intraoperative plasma, crystalloid, and colloid fluids; cumulative red blood cell transfusion during surgery; and endotracheal intubation duration. Notably, our Random Forest model demonstrated exceptional performance with an accuracy of 0.9872. CONCLUSION We have developed and validated an algorithm for predicting PCCs in elderly patients by identifying key risk factors.
Aged ; Aged, 80 and over ; Female ; Humans ; Male ; Middle Aged ; Cardiovascular Diseases/etiology* ; Machine Learning ; Postoperative Complications/etiology* ; Risk Factors ; Randomized Controlled Trials as Topic ; Secondary Data Analysis

OBJECTIVE: Humans are exposed to complex mixtures of environmental chemicals and other factors that can affect their health. Analysis of these mixture exposures presents several key challenges for environmental epidemiology and risk assessment, including high dimensionality, correlated exposure, and subtle individual effects. METHODS: We proposed a novel statistical approach, the generalized functional linear model (GFLM), to analyze the health effects of exposure mixtures. GFLM treats the effect of mixture exposures as a smooth function by reordering exposures based on specific mechanisms and capturing internal correlations to provide a meaningful estimation and interpretation. The robustness and efficiency was evaluated under various scenarios through extensive simulation studies. RESULTS: We applied the GFLM to two datasets from the National Health and Nutrition Examination Survey (NHANES). In the first application, we examined the effects of 37 nutrients on BMI (2011-2016 cycles). The GFLM identified a significant mixture effect, with fiber and fat emerging as the nutrients with the greatest negative and positive effects on BMI, respectively. For the second application, we investigated the association between four pre- and perfluoroalkyl substances (PFAS) and gout risk (2007-2018 cycles). Unlike traditional methods, the GFLM indicated no significant association, demonstrating its robustness to multicollinearity. CONCLUSION GFLM framework is a powerful tool for mixture exposure analysis, offering improved handling of correlated exposures and interpretable results. It demonstrates robust performance across various scenarios and real-world applications, advancing our understanding of complex environmental exposures and their health impacts on environmental epidemiology and toxicology.
Humans ; Environmental Exposure/analysis* ; Linear Models ; Nutrition Surveys ; Environmental Pollutants ; Body Mass Index

Objective:To evaluate the impact of Diagnosis-Intervention Packet(DIP)payment reform on medical service costs and efficiency for inpatients in public hospitals,and to compare differences between surgical and medical groups.Methods:A quasi-experimental design was employed,using 605 636 discharged patients from a tertiary hospital in Hebei Province between January 2020 and March 2025 as the sample.The difference-in-differences(DID)model was used to analyze the changes in key indicators between the DIP settlement group(intervention group)and the non-DIP settlement group(control group).Results:Total hospitalization costs,out-of-pocket expenses,and medication costs were significantly reduced in the DIP settlement group(P<0.05),while costs for examinations,nursing,laboratory tests,and treatments increased significantly(P<0.05).Material costs increased by 30.7%in the surgical group(P<0.1)and decreased by 19.8%in the medical group(P<0.01).In terms of efficiency,the average length of stay,time,and cost consumption index all decreased(P<0.01),while the proportion of medical services increased(P<0.01).The case mix index(CMI)showed no significant changes.Conclusion:The DIP reform effectively controlled costs and improved efficiency,but it also resulted in cost shifting and departmental disparities.Therefore,it is necessary to optimize cost control and departmental management policies.

Objective:To explore the value of multiparametric ultrasonography，including grayscale ultrasound（US），color Doppler flow imaging（CDFI），and real-time shear wave elastography（SWE）in diagnosing mucosal healing（MH）in pediatric patients with Crohn's disease.Methods:This prospective study consecutively enrolled pediatric CD patients who underwent endoscopic examinations at Hunan Children's Hospital from January 2024 to August 2024. Based on the Simplified Endoscopic Score for Crohn's Disease（SES-CD），all intestinal segments were divided into two groups：the MH group and the non-mucosal healing（NMH）group. Differences in bowel wall thickness（BWT），bowel wall stratification，color Doppler grading，SWE values，and increased thickness of mesenteric fat were compared between the two groups. ROC curves were plotted to evaluate the diagnostic performance of each ultrasound parameter. Multivariate Logistic regression analysis was used to identify independent predictors of MH，and a regression model was developed based on these factors.Results:A total of 234 intestinal segments from 60 pediatric CD patients were included in the analysis，divided into the MH group（101 segments）and the NMH group（133 segments）.There were significant differences between the MH and NMH groups in terms of BWT，bowel wall stratification，color Doppler grading，SWE values，and increased thickness of mesenteric fat（all P<0.05）. The multivariate Logistic regression analysis identified BWT，color Doppler grading，and SWE values as independent predictors associated with MH（all P<0.05）.The area under the ROC curve was 0.906（95% CI = 0.867 - 0.945， P＜0.05），with a sensitivity of 0.865 and specificity of 0.851. Conclusions:Multiparametric ultrasonography can effectively assess MH in pediatric CD patients，providing critical information for accurate clinical evaluation of disease status and treatment outcomes.

With the rapid development of generative artificial intelligence(GAI)technologies,their widespread application in academic research and writing is continuously expanding the boundaries of sci-entific inquiry.However,this trend has also raised a series of ethical and regulatory challenges,inclu-ding issues related to authorship,content authenticity,citation accuracy,and accountability.In light of the growing involvement of AI in generating academic content,establishing an open,controllable,and trustworthy ethical governance framework has become a key task for safeguarding research integrity and maintaining trust within the academic community.This expert consensus outlines ethical requirements across key stages of AI-assisted academic writing-including topic selection,data management,citation practices,and authorship attribution.It aims to clarify the boundaries and ethical obligations surrounding AI use in academic writing,ensuring that technological tools enhance efficiency without compromising in-tegrity.The goal is to provide guidance and institutional support for building a responsible and sustainable research ecosystem.

Objective To investigate the efficacy and safety of domestic RECO flow restoration device in endovascular treatment of acute ischemic stroke(AIS)patients in a real-world setting.Methods From January 2019 to June 2021,consecutive patients with acute intracranial vessel occlusion treated with RECO device from 8 stroke centers in Jiangsu Province were analyzed retrospectively.Baseline and clinical data were collected,including age,gender,baseline modified Rankin scale(mRS)scores,National Institutes of Health stroke scale(NIHSS)score on admission,trial of Org 10172 in acute stroke treatment(TOAST)classification,responsible location of occlusion,wake-up stroke,and medical history(hypertension,diabetes mellitus,hyperlipidemia,atrial fibrillation,coronary heart disease,peripheral arterial disease),smoking,and alcohol consumption.Furthermore,surgical parameters were collected,including time indicators(intervals between symptom onset,admission,puncture and recanalization),preoperative intravenous thrombolysis,general anesthesia,combination of aspiration,number of passes,first pass effect(modified thrombolysis in cerebral infarction[mTICI]grade 3 achieved with s single stent-based thrombectomy),rescue therapy(including thrombectomy with other stents,intra-arterial urokinase thrombolysis,intra-arterial application of tirofiban,emergency angioplasty[stent implantation,balloon dilatation,balloon dilatation combined with stent implantation]),balloon guided catheter and NIHSS score at discharge.The effectiveness indicators included immediate successful recanalization after the operation(mTICI grade ≥ 2b),complete recanalization(mTICI grade 3),and a good prognosis at 90 d after the operation(mRS score ≤2).The safety indicators included symptomatic intracranial hemorrhage(sICH)within 24 h after the operation,device-related intraoperative complications(such as thrombus escape,iatrogenic dissection,bleeding at the surgical site),and all-cause mortality within 90 days after the operation.All patients were divided into the anterior circulation occlusion group and the posterior circulation occlusion group according to the location of the responsible occluded vessel,and the effectiveness and safety indexes were analyzed.Results A total of 366 patients with AIS caused by intracranial vessel occlusion who underwent mechanical thrombectomy with the domestic RECO thrombectomy stent were included.The average age was(69±11)years,with 54 patients(14.8％)over 80 years old and 221 patients(60.4％)male.There were 296 patients in the anterior circulation occlusion group and 70 patients in the posterior circulation occlusion group.(1)Immediate successful recanalization(mTICI grade≥2b)was achieved in 337 patients(92.1％),and complete recanalization was achieved in 282 patients(77.0％)immediately after the operation.The average number of thrombectomies was(1.9±1.0)times,and 141 patients(38.5％)achieved recanalization on the first attempt.9 patients(2.5％)used other stents during the operation,and 65 patients(17.8％)underwent emergency angioplasty.The incidence of sICH within 24 h after the operation was 10.9％(40/366),the good prognosis rate at 90 d after the operation was 53.6％(196/366),and the all-cause mortality rate at 90 d after the operation was 23.0％(84/366).The incidence of device-related intraoperative complications was 3.6％(13/366).The median time from arterial puncture to recanalization was 75(52,110)min,and the median time from onset to recanalization was 370(280,488)min.(2)The good prognosis rates at 90 d after the operation in the anterior and posterior circulation occlusion groups were 55.1％(163/296)and 47.1％(33/70),respectively.The immediate successful recanalization rates were 93.2％(276/296)and 87.1％(61/70),respectively.The immediate complete recanalization rates were 79.1％(234/296)and 68.6％(48/70),respectively.The incidence of sICH within 24h after the operation was 12.2％(36/296)and 5.7％(4/70),respectively.The incidence of device-related intraoperative complications was 3.7％(11/296)and 2.9％(2/70),respectively.The all-cause mortality rate within 90 d after the operation was 21.6％(64/296)and 28.6％(20/70),respectively.There were no statistically significant differences between the two groups in the above aspects(all P＞0.05).Conclusions The application of the domestic RECO thrombectomy stent in the treatment of AIS caused by intracranial vessel occlusion can effectively and safely achieve vascular recanalization.The results of this study still need to be further verified by prospective controlled studies.

Objective To explore the impact factors of misjudge of pneumoconiosis stage based on GBZ70-2015 criteria.Methods Sixty-five case of pneumoconiosis were retrospectively enrolled.Chest high-resolution CT were independently analyzed by one associate chief physician,one attending physician and one resident physician,respectively.The stage of pneumoconiosis was judged,and the inter-observer consistency was observed.Taken the results of 5 experts using Delphi method as gold standard,the impact factors of misjudge of pneumoconiosis stage were analyzed.Results Among 65 cases,there were 42 cases of stage 1,16 cases of stage 2 and 7 cases of stage 3 pneumoconiosis.The inter-observer consistency of pneumoconiosis stage was relatively high(Kappa=0.653),of stage 3 pneumoconiosis was the best(Kappa=0.803),followed by stage 1(Kappa=0.661),while of stage 2 was the lowest(Kappa=0.518).Radiologist lack experience(OR=4.872),the lesions mainly located in the posterior upper area of lungs(OR=2.317),the present of r-type small shadows(OR=3.105)and high CT pulmonary emphysema index(OR=1.214)were all independent impact factors of misjudge of pneumoconiosis stage(all P＜0.05).Conclusion Both the experience of radiologist and lesions'heterogeneity were main impact factors of misjudge of pneumoconiosis stage based on GBZ70-2015 criteria.

Rubi Fructus has a long history of medicinal and edible use in China. It contains chemical components such as terpenes, flavonoids, phenolic acids, fatty acids, and alkaloids, and possesses various pharmacological activities, including antioxidant, anti-inflammatory, hypoglycemic, anti-tumor, anti-osteoporosis, and liver-protective effects. Rubi Fructus is widely applied in medical, health, and food fields. The quality of Rubi Fructus can directly affect the safety and effectiveness of clinical medication. Therefore, this article reviews the research progress on the chemical constituents and pharmacological effects of Rubi Fructus. Based on the concept of traditional Chinese medicine(TCM) quality markers(Q-markers), the article explores the screening and determination of Q-markers for Rubi Fructus from various aspects, including plant kinship, traditional efficacy, medicinal properties, measurability of chemical composition, different processing methods, producing areas, harvesting periods, and planting conditions. The components ellagic acid, kaempferol, quercetin, kaempferol-3-O-rutinoside, rutin, astragalin, tiliroside, and hyperoside are preliminarily proposed as Q-markers for Rubi Fructus, providing a reference for the quality control of Rubi Fructus.
Drugs, Chinese Herbal/pharmacology* ; Humans ; Rubus/chemistry* ; Fruit/chemistry* ; Quality Control ; Animals

Eucommiae Cortex, the dried bark of Eucommia ulmoides( Eucommiaceae), has both medicinal and edible values.Modern research has shown that Eucommiae Cortex contains various components such as flavonoids, lignans, iridoids, phenolic acids,terpenoids, and steroids, which have anti-osteoporosis, antioxidant, anti-inflammatory, blood glucose-lowering, and gastrointestinal tract-protecting effects. Eucommiae Cortex has applications in multiple fields such as healthcare, industry, and animal husbandry,demonstrating broad development prospects. This article reviews the chemical constituents, pharmacological effects, and quality control status of Eucommiae Cortex. Furthermore, according to the concept of quality marker(Q-marker), this article predicts the Q-markers of Eucommiae Cortex from traditional medicinal properties, traditional medicinal effects, new medicinal effects, measurability of chemical components, compatibility, harvesting periods, and geographical origins. The components such as pinoresinol diglucoside,chlorogenic acid, caffeic acid, quercetin, baicalein, baicalin, olivil, coniferyl ferulate, and kaempferol can be used as Q-markers for Eucommiae Cortex, which provide reference for establishing a systematic quality control system for Eucommiae Cortex.
Eucommiaceae/chemistry* ; Drugs, Chinese Herbal/pharmacology* ; Quality Control ; Humans ; Animals