Objective:To explore the influencing factors of olfactory impairment in patients with obstructive sleep apnea（OSA） and establish a nomogram prediction model. Methods:A total of 100 OSA patients were enrolled. Snap&Sniff olfactory test was used to evaluate the olfactory identification function and olfactory threshold of the patients. According to the scoring criteria, either olfactory identification scores below 14 points or olfactory threshold scores below 3 points was defined as olfactory impairment. Multivariate logistic regression analysis was used to explore the influencing factors of olfactory impairment in OSA. The nomogram model was constructed by using the R 4.4.2 software package. ROC curve, calibration curve and decision curve were used to evaluate the predictive efficacy, consistency and clinical utility of the model. Results:A total of 55 of 100 OSA patients had olfactory impairment. The results of multivariate logistic regression analysis showed that age, ESS score, MoCA score, and apnea-hypopnea index（AHI） were the influencing factors of olfactory impairment in OSA. Based on the above parameters, a nomogram model was established. The ROC curve analysis showed that the AUC was 0.897（95%CI 0.834-0.961）, indicating that the model had good predictive ability. The calibration curve showed that the predicted probability of the model fits the actual probability well. Decision curve analysis showed that when the threshold probability was in the range of 0-0.9, the model had a high clinical net benefit rate. Conclusion:Age, ESS score, MoCA score and AHI are the influencing factors of olfactory impairment in patients with OSA. The nomogram model constructed based on the above factors has good predictive value, which is conducive to the clinical multi-angle understanding of OSA and the formulation of scientific prevention and treatment measures.
Humans ; Sleep Apnea, Obstructive/physiopathology* ; Nomograms ; Olfaction Disorders/etiology* ; Logistic Models ; Middle Aged ; Male ; Female ; ROC Curve ; Adult ; Aged

OBJECTIVE: This study reports the first imported case of Lassa fever (LF) in China. Laboratory detection and molecular epidemiological analysis of the Lassa virus (LASV) from this case offer valuable insights for the prevention and control of LF. METHODS: Samples of cerebrospinal fluid (CSF), blood, urine, saliva, and environmental materials were collected from the patient and their close contacts for LASV nucleotide detection. Whole-genome sequencing was performed on positive samples to analyze the genetic characteristics of the virus. RESULTS: LASV was detected in the patient's CSF, blood, and urine, while all samples from close contacts and the environment tested negative. The virus belongs to the lineage IV strain and shares the highest homology with strains from Sierra Leone. The variability in the glycoprotein complex (GPC) among different strains ranged from 3.9% to 15.1%, higher than previously reported for the seven known lineages. Amino acid mutation analysis revealed multiple mutations within the GPC immunogenic epitopes, increasing strain diversity and potentially impacting immune response. CONCLUSION The case was confirmed through nucleotide detection, with no evidence of secondary transmission or viral spread. The LASV strain identified belongs to lineage IV, with broader GPC variability than previously reported. Mutations in the immune-related sites of GPC may affect immune responses, necessitating heightened vigilance regarding the virus.
Humans ; China/epidemiology* ; Genome, Viral ; Lassa Fever/virology* ; Lassa virus/classification* ; Molecular Epidemiology ; Phylogeny

Objective To analyze the relationship between the visceral adiposity index(VAI)and nocturia in the US adult population.Methods A cross-sectional study was performed.Data from subjects aged≥20 years in the National Health and Nutrition Examination Survey(NHANES)database from 2007 to 2020 were collected,including waist circumference,triglyceride,body mass index(BMI),high-density lipoprotein,age,gender,race,poverty income ratio,education level,marital status,smoking,alcohol consumption,sleep disorders,depression,occupation,hypertension,diabetes,congestive heart failure,cancer,and nocturnal urination frequency.Weighted analysis,multivariate logistic regression,generalized additive model(GAM),and curve fitting were employed to evaluate the association between VAI and nocturia,adjusting for age,gender,race,poverty income ratio,education level,marital status,smoking,alcohol consumption,sleep disorders,depression,occupation,hypertension,diabetes,congestive heart failure,and cancer.Subgroup analyses were conducted based on age,gender,race,hypertension and diabetes to further evaluate the relationship between VAI and the risk of nocturia.Results A total of 29,196 American adults were included.All subjects were divided into 4 groups based on VAI quartiles:Q1 group(0.32≤VAI<1.01),Q2 group(1.01≤VAI<1.70),Q3 group(1.70≤VAI<2.95),and Q4 group(2.95≤VAI<13.59),with nocturia prevalence rates of 28.5%,31.4%,33.3%,and 34.9%,respectively.In subgroup analyses,the risk of nocturia significantly increased with higher VAI in the 20-40 age group,females and other Hispanics(OR=1.04,95%CI 1.01-1.08,P=0.006;OR=1.02,95%CI 1.00-1.04,P=0.035;OR=1.05,95%CI 1.01-1.09,P=0.026).GAM analysis results showed a nonlinear relationship between VAI and nocturia.Conclusion VAI is positively associated with the risk of nocturia,and may be an effective indicator for predicting the risk of nocturia occurrence.

Objective To investigate the current situation and influencing factors of latent tuberculosis infection(LTBI)among close contacts of positive etiology pulmonary tuberculosis(PTB)patients,provide basis for formula-ting intervention measures for LTBI.Methods A multi-stage stratified cluster random sampling method was used to select close contacts of positive etiology PTB patients from 39 districts and counties in Chongqing City as the study objects.Demographic information was collected by questionnaire survey and the infection of Mycobacterium tuberculosis was detected by interferon gamma release assay(IGRA).The influencing factors of LTBI were analyzed by x2 test and binary logistic regression model.Results A total of 2 591 close contacts were included,the male to female ratio was 0.69∶1,with the mean age of(35.72±16.64)years.1 058 cases of LTBI were detected,Myco-bacterium tuberculosis latent infection rate was 40.83％.Univariate analysis showed that the infection rate was dif-ferent among peoples of different age,body mass index(BMI),occupation,education level,marital status,wheth-er they had chronic disease or major surgery history,whether they lived together with the indicator case,and whether the cumulative contact time with the indicator case ≥250 hours,difference were all statistically significant(all P＜0.05);infection rate presented increased trend with the increase of age and BMI(both P＜0.001),and decreased trend with the increase of education(P＜0.05).Logistic regression analysis showed that age 45-54 years old(OR=1.951,95％CI:1.031-3.693),age 55-64 years old(OR=2.473,95％CI:1.279-4.781),other occupations(OR=0.530,95％CI:0.292-0.964),teachers(OR=0.439,95％CI:0.242-0.794),students(OR=0.445,95％CI:0.233-0.851),junior high school education or below(OR=1.412,95％CI:1.025-1.944),BMI＜18.5 kg/m2(OR=0.762,95％CI:0.586-0.991),co-living with indicator cases(OR=1.621,95％CI1.316-1.997)and cumu-lative contact time with indicator cases ≥250 hours(OR=1.292,95％CI:1.083-1.540)were the influential fac-tors for LTBI(all P＜0.05).Conclusion The close contacts with positive etiology PTB have a high latent infection rate of Mycobacterium tuberculosis,and it is necessary to pay attention to close contacts of high age,farmers,and frequent contact with patients,and take timely targeted interventions to reduce the risk of occurrence of disease.

Objective To analyze the literature on artificial intelligence in forensic research from 2012 to 2022 in the Web of Science Core Collection Database,to explore research hotspots and developmen-tal trends.Methods A total of 736 articles on artificial intelligence in forensic medicine in the Web of Science Core Collection Database from 2012 to 2022 were visualized and analyzed through the litera-ture measuring tool CiteSpace.The authors,institution,country(region),title,journal,keywords,cited references and other information of relevant literatures were analyzed.Results A total of 736 articles published in 220 journals by 355 authors from 289 institutions in 69 countries(regions)were identi-fied,with the number of articles published showing an increasing trend year by year.Among them,the United States had the highest number of publications and China ranked the second.Academy of Forensic Science had the highest number of publications among the institutions.Forensic Science Inter-national,Journal of Forensic Sciences,International Journal of Legal Medicine ranked high in publica-tion and citation frequency.Through the analysis of keywords,it was found that the research hotspots of artificial intelligence in the forensic field mainly focused on the use of artificial intelligence technol-ogy for sex and age estimation,cause of death analysis,postmortem interval estimation,individual identification and so on.Conclusion It is necessary to pay attention to international and institutional cooperation and to strengthen the cross-disciplinary research.Exploring the combination of advanced ar-tificial intelligence technologies with forensic research will be a hotspot and direction for future re-search.

Objective To investigate the effect of elastic pants on coagulation function and deep vein thrombosis by examining blood coagulation function and deep vein thrombosis in patients with liposuction in the thigh before and after operation.Methods 80 patients with liposuction were randomly divided into Ankle-length elastic pants(Ankle group,A group,n=40)and Knee-length elastic pants(Knee group,K group,n=40)from October 2021 to October 2022.After liposuction surgery,the two groups of patients used elastic bandage to initially compress and bind the thigh.According to the length of the patients'thigh,the patients in A group wore appropriate ankle-length elastic pants and the patients in K group wore appropriate knee-length elastic pants.The index were recorded including the popliteal vein flow rate,the common femoral vein flow rate,the instep temperature,the incidence of deep vein thrombosis(DVT),the incidence of intramuscular vein thrombosis of leg and the coagulation indexes(APTT,PT,Fib,D-dimer).Results Compared with pre-operation,the blood flow rate of popliteal vein and common femoral vein in A group was significantly faster,while the blood flow rate of popliteal vein in K group was significantly slower(P＜0.05).There was no significant change in APTT and PT in the two groups after operation(P＞0.05),but the Fib and D-Dimer increased significantly on the first day after operation,and then decreased gradually(P＜0.05).Compared with K group,the blood flow of popliteal vein and common femoral vein in A group was significantly faster at each time point after operation(P＜0.05).The Fib and D-Dimer of patients in A group were significantly lower than those in K group on the 1st,3rd and 7th day after operation(P＜0.05),and the blood coagulation index between the two groups returned to normal around the 14th day.There was no statistically significant difference in the instep temperature between groups and within groups(P＞0.05).No deep venous thrombosis was found in A group after surgery,while there were 3 cases of deep venous thrombosis without clinical symptoms in K group on the 3rd and 7th day,with no statistical difference(P＞0.05).After surgery,patients in A group and K group had intramuscular venous thrombosis of the leg on the 1st,3rd and 7th day after surgery,and there was statistically significant difference on the 3rd and 7th day between the two groups(P＜0.05).Conclusion Thigh liposuction can lead to deep vein thrombosis without obvious clinical symptoms and intramuscular vein thrombosis of leg.Ankle-length elastic pants are more conducive to blood circulation of patients'legs,improve blood hypercoagulability,and reduce the risk of deep vein thrombosis after operation.

177Lu-prostate specific membrane antigen(PSMA)radio-ligand therapy has been approved abroad for advanced prostate cancer and has been in several clinical trials in China.Based on domestic clinical practice and experimental data and referred to international experience and viewpoints,the expert group forms a consensus on the clinical application of 177Lu-PSMA radio-ligand therapy in prostate cancer to guide clinical practice.

The rare-earth-elements-doped upconversion nanoparticles NaYF4:Yb3+,Er3+were synthesized by solvothermal method,and NaYF4:Yb3+,Er3+@SiO2 were prepared by coating SiO2 on the surface of NaYF4:Yb3+,Er3+by inverse microemulsion method in this work.Based on the fluorescence quenching principle between NaYF4∶Yb3+,Er3+@SiO2 and SQA-Fe3+,a NaYF4∶Yb3+,Er3+@SiO2-SQA-Fe3+fluorescence nanosensor was constructed for detection of trace hydrogen peroxide(H2O2).Under optimal conditions,the linear range of this method for detecting H2O2 was 1.8?84.0 μmol/L,with detection limit(3σ)of 0.47 μmol/L.The recoveries of H2O2 spiked in milk were 98.4%?99.7%.This method could be used for detection of H2O2 residue in milk samples,with advantages such as low detection limit,good stability and strong anti-interference ability.

Objective To screen biomarkers for forensic identification of acute myocardial infarction (AMI) by non-targeted metabolomic studies on changes of urine metabolites in rats with AMI.Methods The rat models of the sham surgery group,AMI group and hyperlipidemia+acute myocardial infarction (HAMI) group were established.Ultra-high performance liquid chromatography-mass spectrometry (UPLC-MS) was used to analyze the changes of urine metabolic spectrometry in AMI rats.Principal compo-nent analysis,partial least squares-discriminant analysis,and orthogonal partial least squares-discriminant analysis were used to screen differential metabolites.The MetaboAnalyst database was used to analyze the metabolic pathway enrichment and access the predictive ability of differential metabolites.Results A total of 40 and 61 differential metabolites associated with AMI and HAMI were screened,respec-tively.Among them,22 metabolites were common in both rat models.These small metabolites were mainly concentrated in the niacin and nicotinamide metabolic pathways.Within the 95% confidence in-terval,the area under the curve (AUC) values of receiver operator characteristic curve for N8-acetyl-spermidine,3-methylhistamine,and thymine were greater than 0.95.Conclusion N8-acetylspermidine,3-methylhistamine,and thymine can be used as potential biomarkers for AMI diagnosis,and abnormal metabolism in niacin and nicotinamide may be the main causes of AMI.This study can provide reference for the mechanism and causes of AMI identification.

Objective:The epidemiological and host animal pathogen data of leptospirosis in the population of Zhejiang Province in 2023 were analyzed, providing scientific basis for formulating prevention and control strategies of leptospirosis.Methods:The data of human leptospirosis in the population were collected from the China Information System for Disease Control and Prevention, and analyzed using descriptive epidemiological methods. The data on isolation, culture, and nucleic acid testing of Leptospira pathogens from mouse kidneys, frog kidneys, pig kidneys, and duck kidneys as well as duck serum antibody data were collected from Zhejiang Provincial Center for Disease Control and Prevention "Leptospirosis Surveillance Project of Zhejiang Province". The carrying and changing status of Leptospira epidemic microbiota in populations and host animals were analyzed. Results:In 2023, a total of 83 cases of leptospirosis were reported in Zhejiang Province, with a incidence rate of 0.126 2/ 100 000, aged (62.66 ± 11.31) years, including 68 males and 15 females. Leptospirosis cases were reported in 11 cities, mainly concentrated in the southern cities of Wenzhou City, Lishui City and Taizhou City(a total of 68 cases), accounting for 81.93% of the total number of cases. August to October were high incidence months for leptospirosis (a total of 70 cases), accounting for 84.34% of the total number cases. The male to female ratio of patients was 4.53 ∶ 1.00, and all were adults ≥20 years old, the middle and old people aged 45 - 79 years were the high-risk population (a total of 77 cases), accounting for 92.77% of the total number of cases. The patient's occupation was mainly farmers, with a total of 54 cases, accounting for 65.06% of the total number cases. The shortest time from onset to initial diagnosis for patients with leptospirosis was 0 day, and the longest was 13 days. The shortest time from initial diagnosis to confirmed diagnosis was 0 day, and the longest was 16 days. The 72.29% of the leptospirosis cases (60 cases) had a history of field labor or suspected contact with contaminated water within one month before the onset of the disease, and 18.07% of the leptospirosis cases (15 cases) had a history of contact with animals such as mice, frogs, pigs, cows, dogs, fish or ducks, or their excreta within one month before the onset of the disease. The average nucleic acid positive rate of host animals with leptospirosis was 5.92% (31/524) in mouse kidney, 6.74% (36/534) in frog kidney, and 0.66% (1/151) in pig kidney. The isolation and culture of leptospirosis from duck kidney, nucleic acid detection, and antibody detection in duck blood were all negative. The leptospirosis bacteria detected in human population were serogroup Icterohaemorrhagiae (3 samples) and Hebdomadis (4 samples), and the bacteria group detected in host animals was serogroup Icterohaemorrhagiae (3 samples). Conclusions:The outbreak of leptospirosis in Zhejiang Province mainly occurs in the summer and autumn, with the affected areas mainly concentrated in the southern region of Zhejiang Province. The affected population is mainly middle-aged and elderly males, and the population carrying Leptospira is still mainly composed of the serogroup Icterohaemorrhagiae and the Hebdomadis, with the host animal being the serogroup Icterohaemorrhagiae.