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 feasibility of the new auxiliary analysis software in chromosomal aberration analysis of radiation workers during occupational health examinations.Methods:Health examination data of 2 469 radiation workers in Henan province were collected. Manual analysis of chromosomal aberrations in peripheral blood lymphocytes was conducted using the new auxiliary software and the Ikaros software. Then, the chromosomal aberrations detected using both software tools were compared.Results:The new auxiliary software yielded a lower chromosomal aberration rate among radiation workers compared with the Ikaros software [(0.314 ± 0.014)% vs. (0.391 ± 0.022)%, χ2 = 9.24, P = 0.002]. Notably, the new auxiliary software yielded a significantly lower rate of acentric fragments (ace) [(0.136 ± 0.009)% vs. (0.209 ± 0.020)%, χ2= 17.76, P < 0.001]. However, no statistically significant differences were observed between the result of the two software tools in the rates of dicentrics plus rings (dic + r) and translocations ( P > 0.05). According to the GBZ/T 248-2014 standard, the differences in abnormality rates of chromosomal aberrations between the two groups had no statistically significance ( P > 0.05), with both groups showing an abnormality rate of 0 for ace. Furthermore, the new auxiliary software could double the detection efficiency. Among pre-service radiation workers of various occupations, the differences in the chromosomal aberrations detected using the two software tools exhibited statistical significance ( χ2 = 10.26, P = 0.001). In contrast, the differences in the chromosomal aberrations among in-service and post-service radiation workers had no statistically different significance ( P>0.05). The Poisson regression analysis result demonstrated that the rate of chromosomal aberrations excluding ace was affected by age ( z = 2.73, P = 0.006), while gender, analysis method, service status, and occupation had no impact. Conclusions:The two software tools yielded largely consistent result in detecting chromosomal aberrations induced by exposure to ionizing radiation. Notably, the new auxiliary software can significantly improve detection efficiency, indicating the feasibility of applying it to chromosomal aberration analysis among radiation workers.

Objective To investigate the epidemiological characteristics of patients with postcraniotomy meningitis(PM)caused by Gram-negative bacteria(GNB),and to evaluate the related risk factors for mortal-ity.Methods A total of 202 PM patients in Beijing Tiantan Hospital,Capital Medical University from May 2019 to December 2021 were retrospectively analyzed,including 54 cases in the death group and 148 cases in the survival group.The distribution of microorganisms in the two groups was analyzed,and Cox proportional hazards regression model was established to evaluate the risk factors of death.Results Among the 202 pa-tients with PM caused by GNB,with a mortality rate of 26.7%,Klebsiella pneumoniae(24.8%),Acinetobact-er baumannii(21.8%)and Escherichia coli(8.4%)were the top three isolated pathogens.The proportions of GNB distribution in the survival group and the death group were similar,but the bacteria distribution in the death group was more concentrate.Cox proportional hazards regression model results showed that hyperten-sion(HR=2.384,95%CI 1.229-4.626,P=0.010)and admission to ICU(HR=3.695,95%CI 1.412-9.670,P=0.008)were independent risk factors for death in patients with PM caused by GNB.Conclusion The mortality of PM caused by GNB is high.Hypertension and admission to ICU are independent risk factors for death of patients,and attention should be paid to prevention and treatment in clinical practice.

Objective:To explore the feasibility of the new auxiliary analysis software in chromosomal aberration analysis of radiation workers during occupational health examinations.Methods:Health examination data of 2 469 radiation workers in Henan province were collected. Manual analysis of chromosomal aberrations in peripheral blood lymphocytes was conducted using the new auxiliary software and the Ikaros software. Then, the chromosomal aberrations detected using both software tools were compared.Results:The new auxiliary software yielded a lower chromosomal aberration rate among radiation workers compared with the Ikaros software [(0.314 ± 0.014)% vs. (0.391 ± 0.022)%, χ2 = 9.24, P = 0.002]. Notably, the new auxiliary software yielded a significantly lower rate of acentric fragments (ace) [(0.136 ± 0.009)% vs. (0.209 ± 0.020)%, χ2= 17.76, P < 0.001]. However, no statistically significant differences were observed between the result of the two software tools in the rates of dicentrics plus rings (dic + r) and translocations ( P > 0.05). According to the GBZ/T 248-2014 standard, the differences in abnormality rates of chromosomal aberrations between the two groups had no statistically significance ( P > 0.05), with both groups showing an abnormality rate of 0 for ace. Furthermore, the new auxiliary software could double the detection efficiency. Among pre-service radiation workers of various occupations, the differences in the chromosomal aberrations detected using the two software tools exhibited statistical significance ( χ2 = 10.26, P = 0.001). In contrast, the differences in the chromosomal aberrations among in-service and post-service radiation workers had no statistically different significance ( P>0.05). The Poisson regression analysis result demonstrated that the rate of chromosomal aberrations excluding ace was affected by age ( z = 2.73, P = 0.006), while gender, analysis method, service status, and occupation had no impact. Conclusions:The two software tools yielded largely consistent result in detecting chromosomal aberrations induced by exposure to ionizing radiation. Notably, the new auxiliary software can significantly improve detection efficiency, indicating the feasibility of applying it to chromosomal aberration analysis among radiation workers.

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.

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.

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.

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.

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.