Autoimmune liver diseases （AILD） are a group of chronic liver diseases caused by abnormal activation of the immune system， mainly including autoimmune hepatitis， primary biliary cholangitis， primary sclerosing cholangitis， IgG4-related sclerosing cholangitis， and overlap syndrome. Clinical studies have shown that patients with AILD are often comorbid with thyroid diseases， especially autoimmune thyroid diseases （AITD）， such as Graves’ disease and Hashimoto’s thyroiditis. This article systematically reviews the epidemiological association， potential shared pathogenesis， and overlapping features between AILD and thyroid diseases. A deeper understanding of the immunological links between AILD and AITD may provide a theoretical basis for precision medicine and future research.

OBJECTIVE To establish management index system for rational drug use of key monitoring drugs， and provide reference for the management of key monitoring drugs in the hospitals. METHODS First， the management index system for rational drug use of key monitoring drugs was drafted by collecting the evidence from related medical literature. Next， using a modified Delphi method， twenty experienced experts from the fields of pharmacy， medical practice， healthcare insurance， and finance were selected to participate in two rounds of questionnaire consultations. Based on the expert enthusiasm coefficient， authority coefficient， degree of opinion concentration， and degree of coordination， the final indicators were determined to establish a management index system for rational drug use of key monitored drugs in medical institutions. RESULTS The expert enthusiasm coefficients reached 100% in both rounds of consultation. In first-level， second-level and third-level indicators， the authority coefficients of experts were 0.89， 0.86 and 0.87， and coordination coefficients of the experts in importance score were 0.300 （P＜ 0.05）， 0.125 （P＜0.05） and 0.139 （P＜0.05）， respectively. The average score for the importance of all indicators reached over 3.5， in which the full score ratio ranged from 35% to 100%. Except that the variation coefficient of a third-level indicator “number of specifications purchased for key monitored drugs” was 0.26， the variation coefficients of rest indicators were less than or equal to 0.25. Based on the results of expert consultation， final version of the management index system established in this study， including two first-level indicators （drug procurement and use， and rational drug use）， five second-level indicators （such as the accessibility， cost-effectiveness） and twenty third-level indicators （such as the number of specifications purchased for key monitored drugs， the increase in the cost of key monitored drugs）. CONCLUSIONS The management index system established in this study possesses high reliability and strong operability， and may provide a reference for the management of key monitoring drugs in the hospitals.

Expert consensus, as an important supplement to clinical practice guidelines, supports clinical decision-making when evidence is lacking or controversial. Compared to clinical practice guidelines, the presentation of expert consensus is more diverse. Currently, there are no reporting guidelines for expert consensus in clinical and public health decision-making. The RIGHT (Reporting Items for Practice Guidelines in Healthcare) checklist is the most commonly used international guideline reporting standard, and is often referred to when writing expert consensus. However, the RIGHT checklist does not include a section on consensus formation methods; while the ACCORD (ACcurate COnsensus Reporting Document) checklist includes reporting requirements for consensus formation methods, but not for reporting recommendations. Therefore, this article integrates the RIGHT and ACCORD reporting checklists and proposes an integrated reporting framework (TIMER-DO) to help authors combine these two commonly used international reporting standards and complete the standardized reporting of expert consensus.

Objective To analyze the clinical distribution,drug resistance characteristics,molecular prevalence,and impact of immunocompromised status on the infection rate of carbapenem-resistant Enterobacteriaceae(CRE)isolated from pediatric respiratory tract samples(sputum,bronchoalveolar lavage fluid).Methods A retrospective analysis was conducted on clinical data of hospitalized children from 2019 to 2023.A total of 1 235 non-repetitive strains of Enterobacteriaceae bacteria were obtained from pediactric respiratory tract samples.Drug susceptibility testing,multilocus sequencing typing(MLST),and resistance-related gene sequencing were performed on 100 isolated CRE strains,to study the clinical distribution,drug resistance characteristics,and molecular prevalence of CRE,and to further analyze the impact of immunocompromised status on the respiratory CRE infection rate in children.Results From 2019 to 2023,the detection rate of CRE in 1 235 strains of Enterobacteriaceae bacteria was 8.10%(100/1 235).Among them,51.0%(51/100)of CRE were isolated from the intensive care unit(ICU),of which 33.0%(33/100)were isolated from the Surgical ICU,18.0%(18/100)of CRE was isolated from the Medical ICU;32.0%(32/100)of CRE were isolated from Department of Neonatology,with the majority(74.0%)isolated from infants under 6 months of age.Of all pediatric patients,85.0%recovered and were discharged after treatment.Immunocompromised status was identified as an independent risk factor for CRE infection.Among 100 strains of CRE,Carbapenem-resistant Klebsiella pneumoniae(CRKP)was the most commonly detected strain,accounting for 88.0%(88/100),followed by Escherichia coli at 6.0%(6/100)and Enterobacter cloacae at 4.0%(4/100).CRE strains were highly resistant to carbapenems and cephalosporins,with prevalent resistance to amikacin,ciprofloxacin,and levofloxacin.However,their resistance rates were relatively low to tigecycline,colistin,minocycline,ceftazidime/avibactam,meropenem/vaborbactam,and imipenem/relebactam.The screening results of carbapenem resistance genes showed that blaKPC-2 was the most prevalent gene(74.0%),followed by blaNDM-1(14.0%)and blaNDM-5(11.0%).Molecular typing showed that ST11 type CRE was the dominant type,comprising 72.0%(72/100)and was the primary epidemic clone.Conclusions CRKP is the most prevalent CRE strain isolated from pediatric respiratory tract samples,primarily identified in the ICU,Department of Neonatology,and among infants under 6 months of age.Immunocompromised status is an independent risk factor for respiratory CRE infection in children.CRE generally has high resistance to antibacterial drugs,with blaKPC-2 being the dominant resistance genotype,and ST11 as the predominant multilocus sequence type.Clinical management should account for these characteristics to implement timely interventions and rational therapeutic strategies.

Objective:To describe and analyze the distribution characteristics of a body shape index (ABSI) and its association with all-cause mortality in the elderly in communities of Beijing.Methods:The baseline and follow-up data of 10 423 subjects in Beijing Healthy Aging Cohort Study were used. The endpoint outcome was all-cause mortality in follow-up. The associations of ABSI, BMI and waist circumference with all-cause mortality were analyzed with a Cox proportional hazard regression model.Results:The mean follow-up time in this cohort was 6.36 years and the all-cause mortality was 15.27%. The restricted cubic spline results showed that ABSI showed a "U" association with all-cause mortality in the total population. After adjustment for confounding factors, compared with the normal ABSI group, the risk for all-cause mortality was higher in the low ABSI group ( HR=1.69, 95% CI: 1.32-2.17) and high ABSI group ( HR=1.75, 95% CI: 1.40-2.18). Compared with the normal BMI group, low BMI was associated with an increased risk for all-cause mortality ( HR=1.70, 95% CI: 1.40-2.08). Compared with the normal waist circumference group, central obesity was associated with a decreased risk for all-cause mortality ( HR=0.89, 95% CI: 0.80-0.99). The results of gender specific analysis on ABSI association with all-cause mortality were similar to that in total population, but the strength of association varied among different age groups. Cross-grouping results showed that older people with normal BMI and waist circumference and abnormal ABSI had an increased risk of all-cause mortality ( HR=1.91, 95% CI: 1.22-2.99). Conclusions:In Beijing, ABSI is correlated with the risk for all-cause mortality in the elderly population, which is more sensitive and specific than the traditional indicators (BMI and waist circumference). They can be used as one of the physical measurement indicators for all-cause mortality risk prediction in the health risk assessment and management in the elderly.

Objective:To explore the association between physical activity (PA) level and all-cause mortality in the elderly with different obesity status in Beijing.Methods:The study subjects were from the Cardiovascular and Cognitive Healthy Study in Middle-Aged and Elderly Residents of Beijing, a total of 3 746 individuals aged ≥60 years in the baseline survey between 2013 and 2015 were included in the study. Questionnaire survey and physical examination were conducted to collect the basic information of the individuals. The metabolic equivalent of the elderly was used to calculate the PA level, and an international PA questionnaire was used to determine the PA intensity. BMI, waist-to-height ratio (WHtR) and a body shape index (ABSI) were used to evaluate individuals' obesity status. The distribution of different PA levels under different obesity states was described by using bar chart and cumulative percentage bar chart. Cox proportional hazard regression model was used to analyze the correlation between the level of PA and all-cause mortality risk in different types of obesity status.Results:By December 31, 2019, the median follow-up time was 5.46 years, and the mortality density was 244.55/10 000 person-years. Compared with the individuals in high-PA intensity group, the all-cause mortality risk increased by 41% ( HR=1.41, 95% CI: 1.14-1.76) and 122% ( HR=2.22, 95% CI: 1.76-2.81), respectively, in moderate and low PA intensity groups. Compared with the individuals in high-PA intensity-high-obesity group, based on the BMI, the all-cause mortality risk increased by 85% ( HR=1.85, 95% CI: 1.08-3.16) and 250% ( HR=3.50, 95% CI: 2.01-6.10) in those in moderate-PA intensity-high-obesity group and in low-intensity-high-obesity group. Based on the WHtR, the all-cause mortality risk increased by 53% ( HR=1.53, 95% CI: 1.02-2.29) and 218% ( HR=3.18, 95% CI: 2.09-4.86), respectively, in those with moderate-PA intensity-high-obesity and those with low-PA intensity-high-obesity. According to the ABSI, the all-cause mortality risk increased by 120% in those in low-PA intensity-high-obesity group ( HR=2.20, 95% CI: 1.53-3.18). Based on any one of the indicators BMI, WHtR, or ABSI, there was no significant difference in all-cause mortality risk between high-intensity-moderate-obesity group and high-intensity-low-obesity group (all P>0.05). Conclusions:PA level is closely associated with the all-cause mortality risk in the elderly in communities of Beijing. Increasing PA level can not only reduce the all-cause mortality risk but also reduce even eliminate the excess all-cause mortality risk associated with obesity.

Objective:To analyze the association between different lipid indicators and cardio-cerebrovascular mortality in the elderly, identify a better lipid indicator for the risk for cardio-cerebrovascular mortality in the elderly in communities of Beijing.Methods:The elderly aged 60 years and above were selected from the Beijing Healthy Aging Cohort Study from July 2009 to September 2015. Remnant cholesterol (RC) was derived by calculation. The Cox proportional hazard regression models determined the HR and 95% CI incidating the associations of baseline different lipid indicators with cardio-cerebrovascular and all-cause mortality. Results:By March 31, 2021, with a mean follow-up duration of 6.88 years in the study population, a total of 492 cardio-cerebrovascular deaths and 1 056 all-cause deaths wre recorded. The HR values indicating the association between LDL-C, HDL-C, and RC were 0.87 (95% CI: 0.78-0.97), 0.46 (95% CI: 0.35-0.62), and 1.29 (95% CI: 1.14-1.45) for cardio-cerebrovascular mortality, respectively, and 0.93 (95% CI: 0.86-1.00), 0.66 (95% CI: 0.55-0.80) and 1.22 (95% CI: 1.12-1.33) for all-cause mortality. The associations of RC and HDL-C with cardio-cerebrovascular mortality were consistent regardless of hyperlipidemia in the elderly. Subgroup analyses showed that elevated RC was associated with increased risk for cardio-cerebrovascular mortality, and elevated HDL-C was associated with decreased risk for cardio-cerebrovascular mortality in the elderly in different gender, age, smoking status, drinking status, and diabetes status groups in communities of Beijing. Conclusion:RC might be a better potential lipid indicator for the risk for cardio-cerebrovascular mortality in the elderly in communities compared with traditional cholesterol indicator.

Objective To investigate the application of chromosome microarray analysis(CMA)in prenatal diagnosis of 18q deletion syndrome and to analyze the genotype-phenotype correlation of 18q deletion syndrome.Methods Prenatal diagnosis of three fetuses with 18q deletion syndrome was conducted through amniotic fluid karyotype analysis and CMA.Results Karyotype analysis results of the three fetuses were 46,XY,del(18)(q22);46,XY,-18,+mar;and 46,XX,del(18)(q21.2),respectively.The results of CMA showed that Case 1 had a deletion of 10.0 Mb in the 18q22.2q23 region,Case 2 had a deletion of 5.5 Mb in the 18p11.32p11.31 region and a deletion of 20.9 Mb in the 18q21.32q23 region,and Case 3 had a deletion of 24.1 Mb in the 18q21.2q23 region.Therefore,all the three fetuses had 18q deletion syndrome.Conclusion As a molecular diagnostic technique,CMA can accurately detect the location and size of pathogenic chromosome copy number,and identify the pathogenic genes.It can provide useful evidence for prenatal diagnosis and genetic counseling of 18q deletion syndrome.

Objective:To analyze the correlation between serum uric acid-to-high-density lipoprotein cholesterol ratio (UHR) and risk of all-cause death or cardiovascular disease (CVD) death among urban and rural elderly in Beijing.Methods:Based on the Beijing Healthy Aging Cohort Study, 9 022 participants with complete baseline data were enrolled, and their survival and death outcomes were followed up. Multivariable Cox proportional hazard regression model were used to analyze the associations between the UHR level and the risks of all-cause mortality and CVD mortality.Results:As of March 31, 2021, the median follow-up time M( Q1, Q3) was 6.18 (5.36, 6.75) years. There were 1 166 all-deaths, with a death density of 19.26 per 1 000 person-years, and 562 CVD deaths, with a death density of 9.28 per 1 000 person-years. After adjusting sociodemographic characteristics and lifestyle factors, multivariable Cox proportional hazard regression model showed that the risk of all-cause mortality increased by 3% ( HR=1.03, 95% CI: 1.02-1.04) and the risk of CVD mortality increased by 4% ( HR=1.04, 95% CI: 1.02-1.06) for every 1% increase in UHR. Compared with the T1 group of UHR tertiles, the T3 group had a 42% increase in the risk of all-cause death ( HR=1.42, 95% CI: 1.22-1.66) and a 53% increase in the risk of CVD death ( HR=1.53, 95% CI: 1.21-1.94). Conclusions:The UHR level is significantly associated with the risks of all-cause mortality and CVD mortality among urban and rural older adults in Beijing. The UHR level may be one of the potential predictors of death risk in community-dwelling older adults.

Objective:To measure and analyse maxillofacial skeletal morphology based on the 3D model by Mimics and Matlab soft-ware.Methods:140 male volunteers aged 18-37 years,99 of Han,32 of Uygur and 9 of other natinalities were included.The values of maxillofacial skeletal morphology were measured by Mimics software combined with Matlab software after CT scanning.The data of skeletal morphologic features among skeletal classⅠ,Ⅱ and Ⅲ and among the ethnic groups were analysed with SPSS 26.0 software.Results:The distribution of skeletal class showed that there were 83 cases(59.3％)of class Ⅰ,41(29.3％)of class Ⅱ and 16(11％)of class Ⅲ.There were no significant differences on the age,height,nasal bone length,nasal bone depth,maxillary width,maxillary height,mandibular symphysis height,condylion distance and gonion distance among the 3 skeletal groups(P＞0.05).Skeletal class Ⅱshowed a significant shorter mandibular ramus,mandibular body and entire mandibular length compared with class Ⅰ and class Ⅲ,while class Ⅱ had a significant longer palatal length and larger Me angle compared with class Ⅲ(P＜0.05).Skeletal class Ⅲ showed no significance differences of all dimensions compared with class Ⅰ(P＞0.05).The nasal bone depth of Han subjects was smaller than that of Uygur,while the length of the mandibular symphysis and the entire mandible of Han group were greater than that of Uygur group(P＜0.05).No correlation was observed between age and all facial skeletal dimensions respectively(P＞0.05).The ANB an-gle is negatively correlated with the mandibular body(r=-0.327)and mandibular length(r=-0.322)respectively.Conclusion:There was no significant difference in nasal bone,facial bone width and facial bone height among the 3 skeletal patterns.Class Ⅱhas a significant shorter mandibular ramus,mandibular body and entire mandibular length.Uygur young males have significantly greater nasal bone depth than Han.