ObjectiveTo investigate the contamination status of arsenic (As), cadmium (Cd), lead (Pb), and mercury (Hg) in commercially available aquatic products in Shanghai and their distribution characteristics among different categories of aquatic products, and to assess the dietary exposure levels and non‑carcinogenic health risks of As, Cd, Pb, and Hg through aquatic product consumption among different age groups, so as to provide a scientific basis for food safety surveillance of aquatic products and dietary risk management for residents in Shanghai. MethodsFrom October to November 2021, a total of 90 aquatic product samples, including marine fish, freshwater fish, freshwater shrimp, marine crab, freshwater crab, and mollusks, were randomly collected from 16 districts of Shanghai. Sample pretreatment was performed according to GB 5009.268‒2016 (National Food Safety Standard—Determination of Multi‑elements in Foods). The concentrations of As, Cd, and Pb in aquatic products were determined by inductively coupled plasma mass spectrometry (ICP‑MS), and Hg was determined by direct mercury analyzer. Inorganic arsenic (iAs) was estimated as 3.5% of total As according to the method recommended by the European Food Safety Authority (EFSA). The contamination levels of As, Cd, Pb, and Hg in aquatic products were evaluated according to GB 2762‒2017 (National Food Safety Standard—Maximum Levels of Contaminants in Foods). A combined approach of point assessment and probabilistic assessment was applied to estimate the estimated daily intake (EDI) and non‑carcinogenic risk indicators—hazard quotient (HQ) and hazard index (HI)—for different age groups. ResultsThe detection rates of As and Hg were both 100.00% in all samples, while those of Cd and Pb were 74.44% and 25.56%, respectively. The arithmetic means (wet weight) of the four elements and estimated iAs were: As (1.432 9±3.736 5) mg·kg^-1, iAs (0.050 2±0.130 8) mg·kg^-1, Cd (0.082 5±0.197 8) mg·kg^-1, Pb (0.006 1±0.005 5) mg·kg^-1, and Hg (0.021 9±0.016 7) mg·kg^-1. According to the relevant maximum residue limits, 2 out of 7 mollusk samples (28.57%) and 3 out of 20 marine fish samples (15.00%) exceeded the limit for iAs, and 2 out of 8 marine crab samples (25.00%) exceeded the limit for Cd. The estimated daily intake (EDI, μg·kg^-1·d^-1, by body weight) of iAs, Cd, Pb, and Hg via aquatic product consumption varied among different age groups, with the highest levels observed in children aged 3‒4 years, decreasing gradually with age to the lowest level at 12 ‒ <15 years, with a slight rebound thereafter. The point assessment results showed that the HQs of iAs, Cd, Pb, and Hg ranged from 0 to 0.25, and the cumulative HI ranged from 0.27 to 0.48, all below 1, indicating a relatively low overall risk. The probabilistic assessment results revealed that under the high‑exposure scenario (P_97.5), the HQs of iAs (1.101‒1.281) and Cd (1.175‒1.366) exceeded 1 in children aged 3‒9 years, suggesting potential health risks, while the HQs of Pb and Hg were all below 1, indicating relatively lower risks. ConclusionHg and As are ubiquitously detected in commercially available aquatic products in Shanghai, while the detection rates of Cd and Pb are relatively low. The overall non-carcinogenic risk is at an acceptable level, but children aged 3‒9 years may have potential health risks from iAs and Cd under high-percentile exposure levels. It is recommended to strengthen the monitoring of toxic elements in key aquatic products such as marine fish, mollusks, and marine crabs, and to implement targeted dietary risk management measures for sensitive populations, including children.

OBJECTIVE To compare the efficacy and safety of different daily doses of aspirin in the prevention of preeclampsia （PE）. METHODS The case-control studies and prospective randomized controlled trials on aspirin with daily dose ≥ 100 mg （trial group） vs. ＜100 mg （control group） in the prevention of PE were retrieved from PubMed， Medline， Embase， the Cochrane Library， CNKI， China Biomedical Literatue Database and Wanfang Data from base-building to January 2025. After literature screening， data extraction and quality evaluation， meta-analysis was performed by using RevMan 5.3 software. RESULTS A total of 11 literatures were included， involving 3 052 pregnant women. Meta-analysis showed the incidence of PE [RR＝0.63， 95%CI （0.53，0.76）， P＜0.000 01]， gestational hypertension [RR＝0.69， 95%CI （0.50，0.94），P＝0.02]， preterm birth [RR＝0.56， 95%CI （0.47，0.66）， P＜0.000 01]， and intrauterine growth retardation [RR＝0.73，95%CI （0.61，0.87），P＝0.000 5] in trial groups were significantly lower than control group. The incidence of postpartum hemorrhage between the two groups had no statistically significant difference [RR＝1.17， 95%CI （0.90，1.53），P＝0.25]. Subgroup analysis showed that the incidence of PE in Chinese pregnant women taking 150 mg of aspirin was significantly higher than taking 100 mg of aspirin [RR＝3.40， 95%CI （1.29， 8.93）， P＝0.01]； but there was no significant difference between the two groups in the incidences of postpartum hemorrhage， preterm birth （P＞0.05）. CONCLUSIONS Aspirin with daily dose ≥100 mg is more effective in preventing PE than daily dose ＜100 mg， with lower rates of gestational hypertension， preterm birth， and intrauterine growth retardation. It does not increase the risk of postpartum hemorrhage. For pregnant women in China， daily dose 100 mg of aspirin may be more effective in preventing PE than 150 mg.

Objective To review the application of user profiles in the health management of elderly patients with chronic diseases,and to provide references for nursing staff to apply this technology to manage chronic diseases in the elderly.Methods According to the scoping review methodology,a systematic search was conducted across 9 databases including Wanfang Database,CNKI,VIP,Chinese Biomedical Abstracted Database,PubMed,Embase,Web of Science,CINAHL and Cochrane Library.The search time was from the establishment of the database to January 2024.The literature was screened according to inclusion and exclusion criteria,and the information in the literature was independently extracted and summarized by 2 researchers.Results A total of 10 pieces of the literature were included in the study.The results showed that the process of constructing user profiles mainly includes data collection,user feature extraction,and profiles generation and visualization.User profiles are widely used in the health management of chronic diseases in the elderly,commonly used in the management of diabetes,heart failure and other chronic diseases in the elderly,including the formulation of personalised intervention plans,the provision of personalised health education and information,and the adjustment of health management strategies.User profiles significantly enhanced the accuracy of health information delivery and health services,improved user experience,enhanced patients'self-management ability and quality of life.Conclusion As an emerging health information integration tool,user profiles can merge and analyze multidimensional health data to provide personalized and precise health management for elderly patients with chronic diseases.This approach enhances remote monitoring,prevents and manages complications,improves treatment outcomes,and reduces medical costs,thereby demonstrating significant potential in the health management of elderly patients with chronic conditions.

Objective:To explore the value of 18F-fluorodeoxyglucose ( 18F-FDG) PET-CT dual-modality habitat imaging technology in predicting the epidermal growth factor receptor (EGFR) mutation status in lung adenocarcinoma. Methods:This study was designed as a cross-sectional study. Clinical and imaging data of 403 patients with lung adenocarcinoma who underwent 18F-FDG PET-CT imaging with definitive EGFR results from January 2018 to April 2022 at the Third Affiliated Hospital of Soochow University were retrospectively analyzed.The patients were divided into a development set (282 cases) and a validation set (121 cases) using a stratified random sampling method at a 7∶3 ratio. An adaptive clustering algorithm was used to segment the regions of interest, forming different habitats and obtaining derived parameters. Independent samples t-test or Mann-Whitney U test were used to compare clinical, imaging indicators, and habitat-derived parameters between EGFR mutant and wild-type patient. The clinical, imaging indicators, and habitat-derived parameters that showed statistically significant differences in univariate analysis were included in multivariate logistic regression to construct clinical and clinical-habitat combined models, respectively. The receiver operating characteristic curve and area under the curve (AUC) were used to evaluate the model′s ability to predict EGFR mutations in lung adenocarcinoma. Additionally, the net reclassification index (NRI) was employed to assess the model′s classification improvement capability. Results:There were 249 cases of EGFR mutation and 154 cases of wild type. The optimal number of habitats was two, namely Habitat 1 and Habitat 2. The parameters included in the clinical model were smoking history, bronchial sign, pleural indentation sign, and tumor diameter. The parameters incorporated into the clinical-habitat combined model were smoking history, bronchial sign, pleural indentation sign, Habitat 2, and Habitat 1 voxel count. In the development set, the AUCs for predicting EGFR mutations in lung adenocarcinoma using the clinical model and the clinical-habitat combined model were 0.723 and 0.733, respectively, with no statistically significant difference ( Z=0.60, P=0.549); In the validation set, the AUCs were 0.684 and 0.715, respectively, with no statistically significant difference ( Z=1.32, P=0.186). The accuracy (0.694) and specificity (0.609) of the clinical-habitat combined model in the validation set were slightly higher than those of the clinical model (0.686 and 0.565, respectively). NRI analysis confirmed that the clinical-habitat combined model improved the correct classification of EGFR wild-type lung adenocarcinoma by 10.9% compared to the clinical model ( P=0.018). Conclusion:18F-FDG PET-CT dual-modality habitat imaging technology can be used to analyze the microenvironment of lung adenocarcinoma and has the potential in non-invasively predicting EGFR mutation status, providing an important basis for personalized and accurate treatment of patients with lung adenocarcinoma.

Objective:To develop and assess a three-class machine learning model for predicting wild-type, 19 del, and 21 L858R mutations of the epidermal growth factor receptor (EGFR) in lung adenocarcinoma using 18F-FDG PET/CT radiomic features and clinical features. Methods:The retrospective data was collected from 703 patients (346 males, 357 females; age (64.3±9.0) years) with lung adenocarcinoma at the First People′s Hospital of Changzhou from January 2018 to June 2023. Patients were divided into the training set (563 cases) and test set (140 cases) at the ratio of 8∶2. Clinical features were selected using recursive feature elimination (RFE). Radiomic features were extracted from PET and CT images, and the optimal feature sets were selected using minimum redundancy maximum relevance (mRMR) and least absolute shrinkage and selection operator (LASSO) methods. Base models were constructed by using random forest (RF), logistic regression (LR), support vector machine (SVM), K-nearest neighbors (KNN), and multi-layer perceptron (MLP), and the stacking method was applied to establish the CT and PET ensemble models. Delong test was used to compare the AUC differences between the PET/CT combined model and the clinical + PET/CT integrated model.Results:Among 703 patients, 273 were with EGFR wild-type, 202 were with 19 del mutation, and 228 were with 21 L858R mutation. In the single-modal analysis, the AUCs of CT ensemble model in the training and test sets were 0.893 and 0.667, respectively, while the AUCs of PET ensemble model were 0.692 and 0.660. The AUC of PET/CT combined model were 0.897 in training set and 0.672 in test set. The AUC of clinical + PET/CT integrated model showed further improvement, with AUCs of 0.902 and 0.721 in training and test sets, respectively. Notably, the clinical + PET/CT integrated model outperformed PET/CT combined model in predicting wild-type EGFR (test set AUC: 0.784 vs 0.707; Z=3.28, P=0.001). Conclusion:The three-class model (clinical + PET/CT integrated model) based on 18F-FDG PET/CT radiomics and clinical features effectively predicts EGFR mutation subtypes in lung adenocarcinoma.

Premature ovarian insufficiency(POI),also known as premature ovarian failure(POF),is one of the major causes of female infertility.Its incidence has been increasing year by year,seriously af-fecting women's reproductive health and becoming an increasingly serious public health problem world-wide.The pathogenesis of POI is complex and may be related to genetic,immune and environmental fac-tors,but in recent years,oxidative stress(OS)has received widespread attention as a key factor that can affect the function of ovarian granulosa cells(GCs),which can lead to the occurrence of POI.Reactive oxygen species(ROS)regulate the proliferation,survival and apoptosis of GCs through multiple signaling pathways,such as PI3K-Akt,MAPK,TGF-β/Smad,Notch,etc.AMPK and mitochondrial autophagy play important roles in attenuating the ROS damage and protecting the ovarian function.Excessive ROS disrupts the autophagy and lysosomal functions,leading to the accumulation of intracellular waste prod-ucts,thus affecting the physiological function and endocrine stability of GCs.In addition,OS can in-crease the risk of POI by affecting hormone synthesis and disrupting the function of GCs,leading to an imbalance in estrogen and progesterone levels.Herein we review the mechanism of OS in POI,explore how OS affects ovarian decline through the regulation of signaling pathways and cellular functions,and provide a theoretical basis for the clinical treatment of POI,which in turn provides new research ideas for its early diagnosis and prevention.

Objective To develop a multifunctional vision examination device for confined cabin environments to meet the requirements for detecting and collecting visual function parameters in military training and scientific research.Methods A multifunctional vision examination device was designed with a segmented mode and composed of an exmaination terminal and a control terminal.The examination terminal was composed of a sealed box,a high-definition display,an isolation baffle and a rubber eye mask.The sealed box had a fully closed structure,and the space design in the box was carried out in the form of integrating sphere;the high-definition display had a floating structure not rigidly connected with the surrounding components,and adopted a non-standard screen as the main display;the edges of the isolation baffle were sealed,and a spring washer for mechanical positioning was placed between the baffle and the sealed box.The control terminal software was programmed with C language,and there were several funcational modules involved in the software part for basic information management,function testing and summary report.Results Trials in the low-pressure chamber showed the device developed could be used for testing near vision,stereoscopic vision,contrast sensitivity,rapid dark adaptation and dark vision under the simulated altitude of 5 000 m when the examinee wore an oxygen mask,with remote operation enabled during the testing.Conclusion The multifunctional vision examination device gains advantages in light weight,high portability and compatibility with confined cabin environments,and meets the requirements for visual function testing in military training and scientific research.[Chinese Medical Equipment Journal,2025,46(5):21-26]

Background: and Purpose This study aimed to investigate the association between residual inflammatory risk (RIR) and vulnerable plaques using high-resolution magnetic resonance imaging (HRMRI) in symptomatic intracranial atherosclerotic stenosis (ICAS). Methods: This retrospective study included 70%–99% symptomatic ICAS patients hospitalized from January 2016 to December 2022. Patients were classified into four groups based on high-sensitivity C-reactive protein (hs-CRP) and low-density lipoprotein cholesterol (LDL-C): residual cholesterol inflammatory risk (RCIR, hs-CRP ≥3 mg/L and LDL-C ≥2.6 mmol/L), RIR (hs-CRP ≥3 mg/L and LDL-C <2.6 mmol/L), residual cholesterol risk (RCR, hs-CRP <3 mg/L and LDL-C ≥2.6 mmol/L), and no residual risk (NRR, hs-CRP <3 mg/L and LDL-C <2.6 mmol/L). Vulnerable plaque features on HRMRI included positive remodeling, diffuse distribution, intraplaque hemorrhage, and strong enhancement. Results: Among 336 included patients, 21, 60, 58, and 197 were assigned to the RCIR, RIR, RCR, and NRR groups, respectively. Patients with RCIR (adjusted odds ratio [aOR], 3.606; 95% confidence interval [CI], 1.346–9.662; P=0.011) and RIR (aOR, 3.361; 95% CI, 1.774–6.368, P<0.001) had higher risks of strong enhancement than those with NRR. Additionally, patients with RCIR (aOR, 2.965; 95% CI, 1.060–8.297; P=0.038) were more likely to have intraplaque hemorrhage compared with those with NRR. In the sensitivity analysis, RCR (aOR, 2.595; 95% CI, 1.201–5.608; P=0.015) exhibited an additional correlation with an increased risk of intraplaque hemorrhage. Conclusion In patients with symptomatic ICAS, RIR is associated with a higher risk of intraplaque hemorrhage and strong enhancement, indicating an increased vulnerability to atherosclerotic plaques.

Background: and Purpose This study aimed to investigate the association between residual inflammatory risk (RIR) and vulnerable plaques using high-resolution magnetic resonance imaging (HRMRI) in symptomatic intracranial atherosclerotic stenosis (ICAS). Methods: This retrospective study included 70%–99% symptomatic ICAS patients hospitalized from January 2016 to December 2022. Patients were classified into four groups based on high-sensitivity C-reactive protein (hs-CRP) and low-density lipoprotein cholesterol (LDL-C): residual cholesterol inflammatory risk (RCIR, hs-CRP ≥3 mg/L and LDL-C ≥2.6 mmol/L), RIR (hs-CRP ≥3 mg/L and LDL-C <2.6 mmol/L), residual cholesterol risk (RCR, hs-CRP <3 mg/L and LDL-C ≥2.6 mmol/L), and no residual risk (NRR, hs-CRP <3 mg/L and LDL-C <2.6 mmol/L). Vulnerable plaque features on HRMRI included positive remodeling, diffuse distribution, intraplaque hemorrhage, and strong enhancement. Results: Among 336 included patients, 21, 60, 58, and 197 were assigned to the RCIR, RIR, RCR, and NRR groups, respectively. Patients with RCIR (adjusted odds ratio [aOR], 3.606; 95% confidence interval [CI], 1.346–9.662; P=0.011) and RIR (aOR, 3.361; 95% CI, 1.774–6.368, P<0.001) had higher risks of strong enhancement than those with NRR. Additionally, patients with RCIR (aOR, 2.965; 95% CI, 1.060–8.297; P=0.038) were more likely to have intraplaque hemorrhage compared with those with NRR. In the sensitivity analysis, RCR (aOR, 2.595; 95% CI, 1.201–5.608; P=0.015) exhibited an additional correlation with an increased risk of intraplaque hemorrhage. Conclusion In patients with symptomatic ICAS, RIR is associated with a higher risk of intraplaque hemorrhage and strong enhancement, indicating an increased vulnerability to atherosclerotic plaques.

Background: and Purpose This study aimed to investigate the association between residual inflammatory risk (RIR) and vulnerable plaques using high-resolution magnetic resonance imaging (HRMRI) in symptomatic intracranial atherosclerotic stenosis (ICAS). Methods: This retrospective study included 70%–99% symptomatic ICAS patients hospitalized from January 2016 to December 2022. Patients were classified into four groups based on high-sensitivity C-reactive protein (hs-CRP) and low-density lipoprotein cholesterol (LDL-C): residual cholesterol inflammatory risk (RCIR, hs-CRP ≥3 mg/L and LDL-C ≥2.6 mmol/L), RIR (hs-CRP ≥3 mg/L and LDL-C <2.6 mmol/L), residual cholesterol risk (RCR, hs-CRP <3 mg/L and LDL-C ≥2.6 mmol/L), and no residual risk (NRR, hs-CRP <3 mg/L and LDL-C <2.6 mmol/L). Vulnerable plaque features on HRMRI included positive remodeling, diffuse distribution, intraplaque hemorrhage, and strong enhancement. Results: Among 336 included patients, 21, 60, 58, and 197 were assigned to the RCIR, RIR, RCR, and NRR groups, respectively. Patients with RCIR (adjusted odds ratio [aOR], 3.606; 95% confidence interval [CI], 1.346–9.662; P=0.011) and RIR (aOR, 3.361; 95% CI, 1.774–6.368, P<0.001) had higher risks of strong enhancement than those with NRR. Additionally, patients with RCIR (aOR, 2.965; 95% CI, 1.060–8.297; P=0.038) were more likely to have intraplaque hemorrhage compared with those with NRR. In the sensitivity analysis, RCR (aOR, 2.595; 95% CI, 1.201–5.608; P=0.015) exhibited an additional correlation with an increased risk of intraplaque hemorrhage. Conclusion In patients with symptomatic ICAS, RIR is associated with a higher risk of intraplaque hemorrhage and strong enhancement, indicating an increased vulnerability to atherosclerotic plaques.