Objective To monitor the susceptibility of clinical isolates to antimicrobial agents in tertiary hospitals in major regions of China in 2022.Methods Clinical isolates from 58 hospitals in China were tested for antimicrobial susceptibility using a unified protocol based on disc diffusion method or automated testing systems.Results were interpreted using the 2022 Clinical &Laboratory Standards Institute(CLSI)breakpoints.Results A total of 318 013 clinical isolates were collected from January 1,2022 to December 31,2022,of which 29.5％were gram-positive and 70.5％were gram-negative.The prevalence of methicillin-resistant strains in Staphylococcus aureus,Staphylococcus epidermidis and other coagulase-negative Staphylococcus species(excluding Staphylococcus pseudintermedius and Staphylococcus schleiferi)was 28.3％,76.7％and 77.9％,respectively.Overall,94.0％of MRSA strains were susceptible to trimethoprim-sulfamethoxazole and 90.8％of MRSE strains were susceptible to rifampicin.No vancomycin-resistant strains were found.Enterococcus faecalis showed significantly lower resistance rates to most antimicrobial agents tested than Enterococcus faecium.A few vancomycin-resistant strains were identified in both E.faecalis and E.faecium.The prevalence of penicillin-susceptible Streptococcus pneumoniae was 94.2％in the isolates from children and 95.7％in the isolates from adults.The resistance rate to carbapenems was lower than 13.1％in most Enterobacterales species except for Klebsiella,21.7％-23.1％of which were resistant to carbapenems.Most Enterobacterales isolates were highly susceptible to tigecycline,colistin and polymyxin B,with resistance rates ranging from 0.1％to 13.3％.The prevalence of meropenem-resistant strains decreased from 23.5％in 2019 to 18.0％in 2022 in Pseudomonas aeruginosa,and decreased from 79.0％in 2019 to 72.5％in 2022 in Acinetobacter baumannii.Conclusions The resistance of clinical isolates to the commonly used antimicrobial agents is still increasing in tertiary hospitals.However,the prevalence of important carbapenem-resistant organisms such as carbapenem-resistant K.pneumoniae,P.aeruginosa,and A.baumannii showed a downward trend in recent years.This finding suggests that the strategy of combining antimicrobial resistance surveillance with multidisciplinary concerted action works well in curbing the spread of resistant bacteria.

Objective:To establish the normal reference value of lumbar bone mineral density (BMD) under quantitative CT (QCT) in Chinese healthy adult females and to explore the regional differences.Methods:Total of 35 431 healthy women who met the inclusion criteria of Chinese health quantitative CT big data program were selected in this study. The BMD of the central plane of L 1 and L 2 vertebrae was measured by Mindways′s QCT system, and the mean value was taken. One-way analysis of variance was used to compare the BMD differences of lumbar vertebrae in women of different ages and regions. The subjects were grouped by an age interval of 10 years, and the level of BMD in different regions of the same age group were compaired. Results:The peak BMD of Chinese healthy adult women appeared in the age group of 20-29 years (Northeast China(183.01±24.58) mg/cm 3, North China (188.93±24.80) mg/cm 3, East China (187.54±27.71) mg/cm 3, South China (186.22±33.72) mg/cm 3, Central China (176.33±24.91) mg/cm 3, Southwest China(182.25±28.00) mg/cm 3), and then it decreased with age. The level of BMD in different regions decreased with the age. Before the age of 70 years, BMD in Central and Southwest China was always at a low level((176.23±24.91) to (90.38±28.12) mg/cm 3, 182.25±28.00 to (88.55±25.68) mg/cm 3), lower than those in Northeast China ((183.01±24.58) to (99.69±27.85) mg/cm 3), North China ((188.93±24.80) to (95.89±26.12) mg/cm 3), East China ((187.54±27.71) to (95.65±27.86) mg/cm 3). After 70 years of age, BMD tended to be the same in different regions ( P>0.05). The BMD values in Central China and Southwest China were similar in the age group of 40-60 years ( P>0.05). The BMD values in the health adult femles in the age group of 60 years in different regions of Chinawere all lower than those of bone mass abnormality (all P<0.05). The detection rate of osteoporosis in females over 50 years was the highest in Southwest China (25.65%) and it was the lowest in North China (17.30%). Conclusions:This study establishes reference values of BMD under QCT in healthy Chinese women, which can be used as a reference basis for identifying women with low BMD who are at risk of osteoporosis. The BMD value is the lowest in Southwest China and the highest in South China.

Objective:To investigate the care needs and influencing factors for caregivers of children with disabilities. Methods:From December, 2019 to January, 2020, and August to September, 2020, a total of 496 family caregivers of children with disabilities were surveyed in Shanghai. The Care Needs Assessment Tool for Children with Disabilities was used to measure the care needs rates and satisfaction, and multiple linear regression was performed to analyze the related factors. Results:The rate of total need was 71.8%, which was high in the information support (83.7%), spiritual support (75.9%) and financial support (74.1%), and was at an intermediate level in alternative service support (62.9%) and professional support (62.2%). The satisfaction of total need was 39.4%, which was at a intermediate level in the spiritual support (50.8%) and professional support (45.5%), and was at a low level in alternative service support (32.8%), financial support (32.3%) and information support (30.3%). The caregivers needed less support for thoses with higher public policy satisfaction (B = -3.252, 95%CI -5.370 to -1.134, P = 0.003) and the children with vision and speech disability, and undetermined disability (B_{vision disability}= -12.160, 95%CI -21.976 to -2.344, P = 0.015; B_{speech disability}= -12.754, 95%CI -22.583 to -2.925, P = 0.011; B_{undetermined disability}= -16.553, 95%CI -24.714 to -8.392, P < 0.001), while mothers (B = 9.071, 95%CI 4.293 to 13.848, P < 0.001) needed more support than grandparents. The caregivers with higher public policy satisfaction (B = 7.392, 95%CI 5.523 to 9.262, P < 0.001), the children with vision disability, hearing disability and speech disability (B_{vision disability}= 8.612, 95%CI 0.081 to 17.144, P = 0.048; B_{hearing disability}= 8.686, 95%CI 1.920 to 15.451, P=0.012; B_{speech disability}= 9.515, 95%CI 1.184 to 17.846, P = 0.025), lower barriers to social inclusion (B = 1.932, 95%CI 0.457 to 3.408, P = 0.010) and shorter average daily care hours (B = -4.123, 95%CI -6.247 to -1.999, P < 0.001) were more satisfactory for support. Conclusion:The care needs of children with disabilities are diverse, with the highest rate of need for information support and the lowest level of satisfaction. There is some variation in the care needs of children with different types of disabilities, family roles, average daily care hours and social environment characteristics.

Objective:To explore the current status of the quality of life of children with disabilities and its influencing factors. Methods:From December, 2019 to January, 2020, and August to September, 2020, a total of 285 family caregivers of children with disabilities were enrolled in Shanghai. The EuroQol-5 Dimension Questionnaire Youth Version (EQ-5D-Y) was used to measure the quality of life of 285 children with disabilities. The impact of individual factors, caregiver factors, and environmental factors (family factors and social factors) on children's quality of life were analyzed using multiple linear stepwise regression analysis. Results:The score of Visual Analog Scale (VAS) was (71.66±22.33). The quality of life were poorer for children with physical disabilities (B = -13.623, 95%CI -25.282 to -1.965, P = 0.022) or multiple disabilities (B = -14.911, 95%CI -27.445 to -2.377, P = 0.020), combined diseases (B = -8.995, 95%CI -14.780 to -3.210, P = 0.002), emotional instability (B = -4.414, 95%CI -7.433 to -1.395, P = 0.004), poor partnerships (B = 4.965, 95%CI 1.748 to 8.181, P = 0.003), no pre-school education (B = -7.757, 95%CI -12.954 to -2.561, P = 0.004) and grandparents as the main caregiver (B = -7.999, 95%CI -14.288 to -1.710, P = 0.013). Conclusion:The quality of life for children with disabilities is relatively poor and influenced by multiple factors such as children's individual, caregivers, and environment. The main influencing factors are individual factors and caregiver factors.

Objective:To explore the quality of life of caregivers of children with disabilities and its influencing factors. Methods:From December, 2019 to January, 2020, and August to September, 2020, a total of 496 family caregivers of children with disabilities were surveyed in Shanghai. The 12-item Short-form Health Survey (SF-12) was used to measure the quality of life of 496 caregivers, and multiple linear regression was performed to analyze the related factors. Results:The score of physical component summary (PCS) of caregivers was (51.67±8.11), and the score of mental component summary (MCS) was (42.10±12.66). The scores of PCS were lower in caregivers with children aged 6 to 18 years (B = -1.783, 95%CI -3.279 to -0.287, P = 0.020), children with emotional instability (B = 2.719, 95%CI 1.254 to 4.184, P < 0.001), female caregivers (B = -3.765, 95%CI -6.578 to -0.953, P = 0.009), and caregivers who were relatively dissatisfied with the policy (B = 1.973, 95%CI 0.367 to 3.578, P = 0.016); and were higher in caregivers with children with speech disabilities (B = 3.463, 95%CI 0.053 to 6.873, P = 0.047). The types of disabilities of children (B_hearing = 9.465, 95%CI 5.107 to 13.823, P < 0.001; B_undetermined = 5.999, 95%CI 1.558 to 10.441, P = 0.008), playmates of children (B = 2.626, 95%CI 0.352 to 4.901, P = 0.024), education level of caregivers (B_{high middle school} = -4.701, 95%CI -8.028 to -1.374, P = 0.006; B_{high school} = -3.610, 95%CI -6.604 to -0.615, P = 0.018), family size (B = 2.616, 95%CI 0.479 to 4.753, P = 0.017) and per capita monthly income (B _{< 5000 Yuan}= -6.572, 95%CI -9.136 to -4.008, P < 0.001; B_{5000 to < 10000 Yuan} = -4.932, 95%CI -7.544 to -2.319, P < 0.001) were associated with the scores of MCS. Conclusion:The quality of life, especially the mental health, of caregivers of children with disabilities is poor. The influencing factors cover multiple dimensions such as caregivers, children, family and social environment.

Objective:To investigate the anxiety state and its influencing factors for caregivers of children with disabilities. Methods:From December, 2019 to January, 2020, and August to September, 2020, a total of 496 family caregivers of children with disabilities were surveyed in Shanghai. Crosstab was used to analyze the anxiety state and binary logistic regression analysis was used for identifying key factors. Results:There were 73.2% parents and 26.8% grandparents among 496 caregivers. Physical disabilities accounted most (26.0%) in the children. About 35.1% caregivers reported their anxiety state, and more than 10% reported moderate to severe anxiety. The results of logistic regression analysis showed that grandfather reported 0.318 times anxiety to mother (OR = 0.318, 95%CI 0.113 to 0.900, P = 0.031). Sleep problems (OR = 1.713, 95%CI 1.046 to 2.805, P = 0.032) and emotional functioning (OR_generally = 0.057, 95%CI 0.009 to 0.340, P = 0.002; OR_stable = 0.031, 95%CI 0.005 to 0.205, P < 0.001) of children were associated with the rate of caregiver-reported anxiety. Among family environment factors, monthly per capita household income (OR_{5000-< 10000 Yuan} = 0.463, 95%CI 0.236 to 0.909, P = 0.025; OR_{≥ 10,000 Yuan} = 0.325, 95%CI 0.160 to 0.660, P = 0.002) and housing status (OR = 0.356, 95%CI 0.208 to 0.608, P < 0.001) were associated with the rate of caregiver-reported anxiety. Among social environment factors, caregivers who were satisfied with current accessibility reported lower rate of anxiety (OR_satisfied = 0.136, 95%CI 0.031 to 0.602, P = 0.009). Conclusion:The anxiety state of caregivers of children with disabilities is higher than that of the general population. When caregivers are caring for a child with sleep problem or emotional issue, have low household income, or dissatisfied with the barrier-free environment, they may face higher risk of anxiety.

Objective:To investigate the depression status of caregivers of children with disabilities and analyze the influencing factors. Methods:From August to September, 2020, a one-to-one interview was conducted using a convenience sampling method to determine the depression status of 334 caregivers of children with disabilities in Shanghai. Patient Health Questionnaire 9 Item (PHQ-9) was used to evaluate the depression status. The data were analyzed with univariate analysis from three aspects: caregiver, care recipient and environment. Then, the statistically significant variables were included in a dichotomous logistic regression. Results:The depression rate of 334 caregivers of children with disabilities was 35.9%. Among the caregiver factors, female caregivers had a higher risk of depression than male (OR = 2.193, 95%CI 1.131 to 4.254, P = 0.002). Among the care recipient factors, poor sleep quality (OR = 1.942, 5%CI 1.113 to 3.386, P < 0.05), emotional instability (OR = 17.456, 95%CI 2.534 to 120.240, P < 0.05) and types of disability (OR_intelligence = 5.401, 95%CI 1.995 to 14.624; OR_mental = 3.712, 95%CI 1.615 to 8.530; OR_physical = 2.913, 95%CI 1.330 to 6.379; P < 0.05) were associated with the depression of caregivers. Among the environmental factors, caregivers in rented housing had a higher risk of depression than those in owner-occupied housing (OR = 1.727, 95%CI 1.135 to 2.627, P < 0.05). Conclusion:The depression status of caregivers of children with disabilities is not optimistic, with higher rates of reported depression among female caregivers, caregivers in rented housing; caregivers of children with intellectual, mental and physical disabilities, and poor sleep quality and emotional instability.

Objective:To investigate the current status of coping behaviors among caregivers of children with disabilities in the context of rehabilitation and its influencing factors. Methods:From December, 2019 to January, 2020, and August to September, 2020, a total of 358 caregivers (parents) of children with disabilities were surveyed in Shanghai. They were evaluated in the context of rehabilitation of children with disabilities with Coping Health Inventory for Parents (CHIP). Multiple linear stepwise regression analysis was used to explore the influencing factors. Results:The total score of CHIP was (106.00±23.45) and the average score of CHIP was (2.36±0.52). Among the caregiver factor, mothers (B = 7.607, 95%CI 2.477 to 12.737, P = 0.004), and caregivers who didn't need to care for others (B = 5.758, 95%CI 1.174 to 10.343, P = 0.014) reported higher CHIP score. Among the child factors, higher CHIP score was reported in caregivers who had more partners (B = 2.925, 95%CI 1.233 to 4.618, P < 0.001), participated in public space activities more frequently (B = 3.906, 95%CI 1.743 to 6.068, P < 0.001) and perceived changes in rehabilitation outcomes (B = -16.832, 95%CI -31.471 to -2.193, P = 0.024); CHIP score was lower in thoses of 3 to < 6 years old (B = -7.914, 95%CI -15.157 to -0.671, P = 0.032) and with intellectual disability children (B = -11.153, 95%CI -21.360 to -0.947, P = 0.032). Among the environmental factors, caregivers who perceived more friendly social attitude (B = 2.560, 95%CI 0.615 to 4.505, P = 0.010) reported higher CHIP score. Conclusion:It is proposed to learn the coping needs of caregivers of children with disabilities in the context of rehabilitation. The coping behaviors of caregivers are influenced by multiple factors, such as children's individual, caregivers and environment.

Objective The purpose of this study was to identify a pathogenic variant in a Chinese family with Alport syndrome and analyze the pathogenicity of the variant. Methods Using targeted region capture and high-throughput sequencing technology, we identified the genetic variant of the proband with Alport syndrome, verified the variant in the family members by Sanger sequencing, and analyzed its influence on the pre-mRNA splicing process by in vitro minigene assay. Results A heterozygous variant c.2767G>T (p.Gly923Cys) was identified as a novel variant in exon 32 of the COL4A5 gene in the proband, which was confirmed by Sanger sequencing to be cosegregated with disease in the family. The minigene assay demonstrated that the c.2767G>T variant induced deletion of exon 32 of the COL4A5 gene. Conclusion A novel COL4A5 mutation was identified by targeted region capture and high-throughput sequencing, which has enriched the gene mutation spectrum of Alport syndrome. The exonic mutation c.2767G>T confirmed to be a splicing mutation by in vitro minigene assay, which may lead to a deeper insight into the molecular pathogenesis of Alport syndrome.

Objective To observe the effect of aptamer-siRNA nucleic acid compound on the apoptosis of K562 cells in human chronic myelogenous leukemia (CML)and explore its acting mechanisms.Methods K562 cells were transfected with different concentrations of aptamer-siRNA solution.The effects of aptamer-siRNA on the proliferation and apoptosis of K562 cells were detected by MTT method and AnnexinV/PI double staining method,respectively.The effects of aptamer-siRNA on the expressions of bcl-2,Bax and casepase-3 at protein and mRNA levels in K562 cells were detected by Western blot and RT-PCR method,respectively.Results Compared with the control group,the proliferation of K562 cells was significantly inhibited,early apoptosis rate of K562 cells increased significantly,the expression levels of bcl-2 protein and mRNA were significantly decreased,while the expression levels of Bax and caspase-3 protein and mRNA were significantly increased after transfection with aptamer-siRNA (P <0.05).Aptamer-siRNA nucleic acid complex at the concentration of 50 -250 μmol/L)had a significant dose-effect relationship on bcl-2,Bax and caspase-3 mRNA.Conclusion Aptamer-siRNA nucleic acid compound can promote the decreased number of bcl-2 gene and the growth of Bax and caspase-3 genes,thus promoting the apoptosis of K562 cells.