Objective To explore the normal reference range of perchlorate content in the urine of primary school students, and compare whether there are differences in their urine perchlorate contents among different populations, and to provide reference for the health care of primary school students. Methods A total of 441 primary school students aged 6 to 15 years old in a certain city were selected, and their urine samples were collected. The contents of perchlorate in the urine were determined by ultra-high performance liquid chromatography coupled with mass spectrometry, and the measurement data was statistically analyzed using SPSS software. Results There was no significant gender difference in the content of perchlorate in the urine of primary school students, but there was an age difference. The normal reference range for the content of perchlorate in the urine of primary school students aged 6-9 years old was 0-99.09 μg/L, and the normal reference range for the content of perchlorate in the urine of primary school students aged 10-15 years old was 0-74.56 μg/L. Conclusion Through the measurement and analysis of a large number of samples, a normal reference range for the content of urinary perchlorate in primary school students have been recommended.

Objective To explore the normal reference range of perchlorate content in the urine of primary school students, and compare whether there are differences in their urine perchlorate contents among different populations, and to provide reference for the health care of primary school students. Methods A total of 441 primary school students aged 6 to 15 years old in a certain city were selected, and their urine samples were collected. The contents of perchlorate in the urine were determined by ultra-high performance liquid chromatography coupled with mass spectrometry, and the measurement data was statistically analyzed using SPSS software. Results There was no significant gender difference in the content of perchlorate in the urine of primary school students, but there was an age difference. The normal reference range for the content of perchlorate in the urine of primary school students aged 6-9 years old was 0-99.09 μg/L, and the normal reference range for the content of perchlorate in the urine of primary school students aged 10-15 years old was 0-74.56 μg/L. Conclusion Through the measurement and analysis of a large number of samples, a normal reference range for the content of urinary perchlorate in primary school students have been recommended.

Background Atmospheric fine particulate matter (PM_2.5) can disrupt the metabolic homeostasis of the liver and accelerate the progression of liver diseases, but there are few studies on the effects of sub-chronic PM_2.5 exposure on the liver metabolome. Objectives To investigate the effects of sub-chronic exposure to concentrated PM_2.5 on hepatic metabolomics in mice by liquid chromatography-mass spectrometry (LC-MS), and to identify potentially affected metabolites and metabolic pathways. Methods Twelve male C57BL/6J (6 weeks old) mice were randomly divided into two groups: a concentrated PM_2.5 exposure group and a clean air exposure group. The mice were exposed to concentrated PM_2.5 using the "Shanghai Meteorological and Environmental Animal Exposure System" at Fudan University. The exposure duration was 8 h per day, 6 d per week, for a total of 8 weeks. The mice's liver tissues were collected 24 h after the completion of exposure. LC-MS was performed to assess changes in the hepatic metabolome. Orthogonal partial least squares discriminant analysis and t-test were employed to identify differentially regulated metabolites between the two groups under the conditions of variable important in projection (VIP)≥1.0 and P<0.05. Metabolic pathway enrichment analysis was performed using MetaboAnalyst 5.0 software and the Kyoto Encyclopedia of Genes and Genomes (KEGG). Results A total of 297 differentially regulated metabolites were identified between the concentrated PM_2.5 exposure group and the clean air group. Among these metabolites, 142 were upregulated and 155 were downregulated. A total of 38 metabolic pathways were altered, with 7 pathways showing significant perturbation (P<0.05). These pathways involved amino acid metabolism, glucose metabolism, nucleotide metabolism, as well as cofactor and vitamin metabolism. The 7 significant metabolic pathways were pantothenic acid and coenzyme A biosynthesis; purine metabolism; amino sugar and nucleotide sugar metabolism; arginine biosynthesis; alanine, aspartate and glutamate metabolism; aminoacyl-tRNA biosynthesis; and fructose and mannose metabolism. Conclusion The results from metabolomics analysis suggest that sub-chronic exposure to PM_2.5 may disrupt hepatic energy metabolism and induce oxidative stress damage. Aspartic acid, succinic acid, ornithine, fumaric acid, as well as purine and xanthine derivatives, were identified as potential early biomarkers of hepatic response to sub-chronic PM_2.5 exposure.

Objectives:To understand the differences in clinical characteristics, treatment status, and prognosis between outpatient and inpatient heart failure patients in the real world.Methods:A prospective, multicenter registration study was conducted to select 972 outpatient or inpatient heart failure patients from 24 different regions and levels of hospitals in China from December 2012 to November 2014. Demographic and clinical data, as well as treatment status, were collected and followed up at 1 year. The difference in medication treatment status between baseline and 1-year follow-up was compared using McNemar paired χ 2 test. Pearson χ 2 test was used to compare the differences in clinical data, treatment status, and outcomes between outpatient and inpatient patients. Results:There were 610 outpatient patients (62.8%), and the proportion of outpatient patients under 65 years old was higher than that of hospitalized patients [44.9%(274/610) vs 35.1%(127/362), P<0.05]. The proportion of NYHA grade Ⅲ/Ⅳ patients was as high as 50.8%(310/610), and 92.5%(564/610) of outpatient patients had difficulty breathing while walking uphill. 27.9%(170/610) of outpatient patients had jugular vein pressure greater than 6 cmH 2O, and 24.3%(148/610) of outpatient patients had pulmonary moist rales. There was no significant difference in the main causes of heart failure between outpatient and inpatient patients ( P=0.063), with ischemic cardiomyopathy being the main cause. At baseline, the use of beta blockers in outpatient patients was higher than that in hospitalized patients [63.0%(384/610) vs 54.4%(197/362), P<0.05], while the use of diuretics and aldosterone receptor antagonists was lower than that in hospitalized patients [53.1%(324/610) vs 72.1%(261/362), 49.5%(302/610) vs 61.3%(222/362), P<0.05]. There was no statistically significant difference in the use of ACEI/ARB between the two groups [67.4%(411/610) vs 62.4%(226/362), P>0.05]. At one-year follow-up, the use of ACEI/ARB in outpatient patients decreased [63.5%(360/567) vs 67.4%(411/610), P<0.05], the usage rate of aldosterone receptor antagonists in hospitalized patients decreased by [50.3%(165/328) vs 61.3%(222/362), P<0.05]. The one-year all-cause mortality rate of the two groups of patients was close to [6.7%(41/610) vs 9.4%(34/362), P=0.124], The hospitalization rate for heart failure in the outpatient group was lower than that of hospitalized patients [25.4%(155/610) vs 36.5%(132/362), P<0.05], but still>25.0%. Conclusions:Outpatient heart failure patients still have obvious symptoms and signs, and the prognosis is poor. The standardized management of outpatient heart failure patients cannot be ignored.

Objective:To evaluate the diagnostic efficacy of the multiparametric MRI (mpMRI) deep learning artificial intelligence (AI) analysis system combined with 68Ga-prostate specific membrane antigen (PSMA) PET for prostate cancer. Methods:Data of 103 patients (age: 45-85 years) who underwent 68Ga-PSMA PET/MR at Union Hospital, Tongji Medical College, Huazhong University of Science and Technology from May 2018 to October 2023 for suspected or confirmed prostate cancer were retrospectively collected. ROI was delineated to measure SUV max of primary tumor or prostate, and a deep learning AI system was applied to analyze MR images of the prostate. The diagnostic efficacies of T 2 weighted imaging (WI), diffusion WI (DWI), mpMRI, PET SUV max, and PET/MR for prostate cancer were assessed, with using the pathological results as the gold standard. Results:Among 103 patients, 82 cases (79.61%) were with prostate cancer. PET unimodality demonstrated the best specificity (100%, 21/21), positive predictive value (100%, 58/58), and AUC (0.860, 95% CI: 0.777-0.920). The mpMRI AI analysis provided rapid diagnostic results and the sensitivity and accuracy were improved by combining with PET (sensitivities of PET, mpMRI and the combination of the two were 70.73%(58/82), 86.59%(71/82), and 92.68%(76/82), respectively; the accuracies were 76.70%(79/103), 81.55%(84/103) and 86.41%(89/103), respectively). Among 44 patients with negative PET, 30 patients received an accurate diagnosis when the results of mpMRI AI analysis were added. Conclusions:68Ga-PSMA PET demonstrates good specificity for prostate cancer and mpMRI AI analysis is time-saving. The combined application improves the diagnostic sensitivity and accuracy, which provides a valuable tool for 68Ga-PSMA PET/MR image analysis.

Cerebrospinal fluid morphology examination is an important method of diagnosing central nervous system diseases, but manual microscopy has shortcomings such as low efficiency, long staff training period, and poor homogeneity of test results. In recent years, the application of artificial intelligence in the medical field has developed rapidly, providing new technical means for cerebrospinal fluid morphology examination. In the future, AI-assisted morphological examination of cerebrospinal fluid will not only realize digitalization and networking, but also improve the level and efficiency of intelligent diagnosis of cerebrospinal fluid morphology, which has a broad application prospect in the intelligent assisted diagnosis of cerebrospinal fluid.

Chronic endometritis (CE) is one of the common diseases in women of reproductive age, belonging to pelvic inflammatory disease, and characterized by a persistent localized inflammatory state of the endometrium. Clinically, CE often presents as asymptomatic or with atypical symptoms, leading to frequent neglect by obstetricians and gynecologists. In recent years, the incidence of CE has been increasing annually and has become a significant cause of unexplained infertility, recurrent implantation failure, and miscarriage in women. It also plays a crucial role in influencing the outcomes of assisted reproductive technologies. Therefore, safe, effective, and non-invasive diagnostic and therapeutic methods have garnered increasing attention. This article comprehensively elaborated on the etiology, latest diagnostic methods, and multidimensional treatment modalities of CE, providing novel insights into its diagnosis and treatment.

Atrial fibrillation (AF) is the most common supraventricular arrhythmia in patients with hypertrophic cardiomyopathy. Patients with hypertrophic cardiomyopathy and atrial fibrillation have a significantly increased risk of thromboembolism. Currently, guidelines recommend lifelong anticoagulant therapy for all such patients. The data on the use of non-vitamin K antagonist oral anticoagulants in patients with hypertrophic cardiomyopathy and atrial fibrillation are limited, and their efficacy and safety are not well established. This article provides a review of the current evidence on this issue.

White matter lesions (WMLs) are the extensive damage of periventricular and subcortical white matter caused by different etiology.Previous studies have shown that WMLs is associated with cognitive function, motor function, mood and urination function.Parkinson disease (PD) is a common chronic degenerative disease of the central nervous system.Recently, evidences showed that PD patients have a high susceptibility to WMLs which participates in the progression of motor and cognitive impairment.PD patients have higher risk of WMLs because of cardiovascular autonomic nerve dysfunction, long-term dopamine (DA) treatment and β-amyloid peptides (Aβ) deposition along vessels.Furthermore, recently, more and more evidences showed that WMLs could impact on the motor and cognitive symptoms of PD.WMLs had a significant influence on axial motor symptoms, and was related to executive function, attention, memory, visual-spatial ability and other cognitive impairment.Moreover, the severity of WMLs affects drug and surgical efficacy of patients with PD.Taking active measures to slacken the WMLs progression of PD will contribute to improve symptoms and curative effect.This article summarized the roles of WMLs in the occurrence and development of PD, in order to provide theoretical basis for prevention, diagnosis and treatment of PD.

Objective:To investigate the risk factors for anterior circulation and posterior circulation symptomatic intracranial atherosclerotic stenosis (sICAS).Methods:The clinical data of patients admitted to Hebei General Hospital for ischemic stroke or transient ischemic attack (TIA) and diagnosed with sICAS by digital subtraction angiography from May 2019 to May 2020 were retrospectively included. The patients were divided into anterior circulation group and posterior circulation group according to the stenosis sites, and the distribution of sICAS and its risk factors were analyzed.Results:A total of 134 patients with sICAS were enrolled, including 82 males (61.2%) and 52 females (38.8%). Their age was 60.28±11.46 years; 115 (85.8%) had ischemic stroke and 19 (14.2%) had TIA. There were 92 patients (68.7%) in the anterior circulation group and 42 (31.3%) in the posterior circulation group. Body mass index (BMI), systolic and diastolic blood pressure levels, as well as the proportion of patients with hypertension, diabetes, smoking and drinking in the posterior circulation group were significantly higher than those in the anterior circulation group (all P<0.05). Multivariate logistic regression analysis showed that higher BMI (odds ratio [ OR] 1.191, 95% confidence interval [ CI] 1.029-1.379; P=0.019), hypertension ( OR 4.073, 95% CI 1.135-14.616; P=0.031) and diabetes ( OR 2.783, 95% CI 1.149-6.738; P=0.023) were independently correlated with the posterior circulation sICAS. Conclusions:Compared with anterior circulation, high BMI, hypertension and diabetes are the independent risk factors for posterior circulation sICAS.