Objective:To access the relation of aortic arch calcification (AoAC) volume based on parathyroid SPECT/CT imaging with hungry bone syndrome (HBS) in patients with renal secondary hyperparathyroidism (SHPT) after parathyroidectomy (PTX).Methods:From June 2015 to May 2024, the imaging and clinical data of 89 renal SHPT patients (52 males, 37 females, age: (51.5±10.3) years) who underwent parathyroid 99Tc m-methoxyisobutylisonitrile (MIBI) SPECT/CT in Affiliated Jiangyin Hospital of Nantong University were retrospectively analyzed. The AoAC volume was measured by Volume software of SPECT/CT system. The patients were divided into HBS group and non-HBS group, and the independent-sample t test, Mann-Whitney U test were used to compare differences of various indicators between the two groups. Logistic regression was used to analyze the influencing factors of HBS. Results:All 89 patients underwent PTX successfully, 50 patients (56.2%) were with HBS and 39 patients (43.8%) were not. The differences of age ((47.9±9.9) vs (56.1±9.0) years, t=-3.98, P<0.001), AoAC volume (0.36(0.02, 1.30) vs 1.57(0.37, 3.77)cm 3, Z=-3.17, P=0.002), preoperative alkaline phosphatase (ALP) (345.75(218.50, 632.50) vs (203.13±114.57)U/L, Z=-4.69, P<0.001), preoperative parathyroid hormone (147.85(109.83, 227.40) vs (135.58±51.14)pmol/L, Z=-2.34, P=0.019) and preoperative serum corrected calcium ((2.38±0.21) vs 2.54(2.39, 2.62)mmol/L, Z=-3.09, P=0.002) between HBS group and non-HBS group were significant. Logistic regression analysis showed that the AoAC volume ((odds ratio, OR)=0.628, 95% CI: 0.427-0.924, P=0.018), preoperative ALP ( OR=1.007, 95% CI: 1.002-1.012, P=0.010) and preoperative serum corrected calcium ( OR=0.041, 95% CI: 0.003-0.545, P=0.016) were independent risk factors for HBS. Conclusion:The AoAC volume measured by preoperative SPECT/CT can be used for an effective criteria of evaluating HBS in patients with renal SHPT after PTX, and AoAC volume may be one of independent risk factors for HBS.

Objective:To investigate the relationship of the number and morphological of parathyroid glands on 99Tc m-methoxyisobutylisonitrile (MIBI) SPECT/CT with hungry bone syndrome (HBS) in patients with renal secondary hyperparathyroidism (SHPT) after parathyroidectomy (PTX). Methods:Eighty renal SHPT patients (46 males, 34 females; age (50.3±11.0) years) who underwent PTX between January 2018 and June 2024 were retrospectively analyzed in Affiliated Jiangyin Hospital of Nantong University. The number of parathyroid glands detected on SPECT/CT, diameter of parathyroid gland and its volume were recorded and measured. Patients were divided into HBS group and non-HBS group. Independent-sample t test, Mann-Whitney U test and χ2 test were used to compare differences of various indicators between those 2 groups. Multivariate logistic regression was used to analyze influencing factors of HBS. Results:HBS group included 45 patients and the rest 35 patients belonged to non-HBS group. Age ( t=-3.61, P=0.001), preoperative alkaline phosphatase (ALP) ( Z=-4.65, P<0.001), preoperative parathyroid hormone ( Z=-2.34, P=0.019) and preoperative serum corrected calcium ( t=-2.71, P=0.008) were all significantly different between HBS group and non-HBS group. Patients with the number of parathyroid glands≥4 detected by SPECT/CT were more in HBS group than those in non-HBS group (82.2%(37/45) vs 51.4%(18/35); χ2=8.87, P=0.003), and the total volume of parathyroid glands (2.56(1.93, 4.44) vs 2.00(1.18, 2.94)cm 3;Z=-2.25, P=0.024) and the maximum diameter of parathyroid glands ((17.71±3.78) vs (15.87±3.91) mm; t=2.14, P=0.036) were significantly different between those 2 groups. Logistic regression analysis showed that preoperative ALP (odds ratio ( OR)=1.008, 95% CI: 1.002-1.014, P=0.015), preoperative serum corrected calcium ( OR=0.017, 95% CI: 0.000-0.869, P=0.042) and the number of parathyroid gland≥4 detected by SPECT/CT ( OR=4.156, 95% CI: 1.038-16.642, P=0.044) were independent influencing factors for HBS. The sensitivity of the number of parathyroid glands≥4 detected by SPECT/CT for diagnosing HBS was 82.2%(37/45). Conclusion:The number of parathyroid glands≥4 detected by SPECT/CT is an independent influencing factor for HBS, with high diagnostic sensitivity for HBS, thus having good clinical value.

Objective:To investigate the heterogeneity of peripheral blood neutrophils in sepsis and provide reference for the diagnosis of sepsis.Methods:Twenty-four male C57BL/6 mice were divided into two groups, control and sepsis groups, with 12 mice in each group using a completely randomized design. The mice in the control group were injected with 100 μl saline through the tail vein, while the mice in the sepsis group were injected with an equal amount of Escherichia coli solution (3.33 McFarland turbidity standards) through the tail vein to establish the sepsis model. Peripheral blood samples were collected, and the proportions of neutrophils expressing different surface markers were detected using mass cytometry. GO and KEGG analyses were performed on neutrophil subsets with high CD62L expression, and public datasets were used for verification. The protein-protein interaction networks of CD62L were investigated to assess the value of neutrophil heterogeneity in the diagnosis of sepsis. Results:There were significant differences in the expression of markers in peripheral blood samples between the sepsis group and the control group. CD62L + neutrophil subsets were found in mice with sepsis. GO and KEGG analyses showed that CD62L + neutrophil subsets were associated with multiple biological processes and signaling pathways such as cell adhesion, migration, surface receptor activation, and immune regulation. Clinical results confirmed the correlation of neutrophil CD62L expression with the severity and prognosis of sepsis. The number of subpopulations expressing CD62L in peripheral blood neutrophils in the sepsis group was higher than that in the control group, but the expression level of CD62L in single cells in the sepsis group was significantly lower than that in the control group ( P<0.01). Protein-protein interaction network analysis showed strong interaction between CD62L and multiple important proteins such as P-selectin, P-selectin ligand, E-selectin, and vascular cell adhesion molecule-1. Conclusion:There is heterogeneity in the surface markers of neutrophils between sepsis mice and control mice, which may be a potential indicator for the diagnosis of sepsis.

Objective To summarize the changing prevalence of carbapenem resistance in Enterobacterales based on the data of CHINET Antimicrobial Resistance Surveillance Program from 2015 to 2021 for improving antimicrobial treatment in clinical practice.Methods Antimicrobial susceptibility testing was performed using a commercial automated susceptibility testing system according to the unified CHINET protocol.The results were interpreted according to the breakpoints of the Clinical & Laboratory Standards Institute(CLSI)M100 31st ed in 2021.Results Over the seven-year period(2015-2021),the overall prevalence of carbapenem-resistant Enterobacterales(CRE)was 9.43％(62 342/661 235).The prevalence of CRE strains in Klebsiella pneumoniae,Citrobacter freundii,and Enterobacter cloacae was 22.38％,9.73％,and 8.47％,respectively.The prevalence of CRE strains in Escherichia coli was 1.99％.A few CRE strains were also identified in Salmonella and Shigella.The CRE strains were mainly isolated from respiratory specimens(44.23±2.80)％,followed by blood(20.88±3.40)％and urine(18.40±3.45)％.Intensive care units(ICUs)were the major source of the CRE strains(27.43±5.20)％.CRE strains were resistant to all the β-lactam antibiotics tested and most non-β-lactam antimicrobial agents.The CRE strains were relatively susceptible to tigecycline and polymyxins with low resistance rates.Conclusions The prevalence of CRE strains was increasing from 2015 to 2021.CRE strains were highly resistant to most of the antibacterial drugs used in clinical practice.Clinicians should prescribe antimicrobial agents rationally.Hospitals should strengthen antibiotic stewardship in key clinical settings such as ICUs,and take effective infection control measures to curb CRE outbreak and epidemic in hospitals.

Objective To characterize the changing species distribution and antibiotic resistance profiles of respiratory isolates in hospitals participating in the CHINET Antimicrobial Resistance Surveillance Program from 2015 to 2021.Methods Commercial automated antimicrobial susceptibility testing systems and disk diffusion method were used to test the susceptibility of respiratory bacterial isolates to antimicrobial agents following the standardized technical protocol established by the CHINET program.Results A total of 589 746 respiratory isolates were collected from 2015 to 2021.Overall,82.6％of the isolates were Gram-negative bacteria and 17.4％were Gram-positive bacteria.The bacterial isolates from outpatients and inpatients accounted for(6.0±0.9)％and(94.0±0.1)％,respectively.The top microorganisms were Klebsiella spp.,Acinetobacter spp.,Pseudomonas aeruginosa,Staphylococcus aureus,Haemophilus spp.,Stenotrophomonas maltophilia,Escherichia coli,and Streptococcus pneumoniae.Each microorganism was isolated from significantly more males than from females(P＜0.05).The overall prevalence of methicillin-resistant S.aureus(MRSA)was 39.9％.The prevalence of penicillin-resistant S.pneumoniae was 1.4％.The prevalence of extended-spectrum β-lactamase(ESBL)-producing E.coli and K.pneumoniae was 67.8％and 41.3％,respectively.The overall prevalence of carbapenem-resistant E.coli,K.pneumoniae,Enterobacter cloacae,Pseudomonas aeruginosa,and Acinetobacter baumannii was 3.7％,20.8％,9.4％,29.8％,and 73.3％,respectively.The prevalence of β-lactamase was 96.1％in Moraxella catarrhalis and 60.0％in Haemophilus influenzae.The H.influenzae isolates from children(＜18 years)showed significantly higher resistance rates to β-lactam antibiotics than the isolates from adults(P＜0.05).Conclusions Gram-negative bacteria are still predominant in respiratory isolates associated with serious antibiotic resistance.Antimicrobial resistance surveillance should be strengthened in clinical practice to support accurate etiological diagnosis and appropriate antimicrobial therapy based on antimicrobial susceptibility testing results.

Objective:To investigate the incidence of shoulder work-related musculoskeletal disorders (WMSDs) among occupational population in China, and to explore their intrinsic association with personal and work-related factors.Methods:In April 2024, 73497 valid questionnaires of the Chinese version of the Musculoskeletal Disorders Electronic Questionnaire were retrospectively analyzed from June 2018 to December 2023 in 22 provinces and 29 key industries in China, and the general information, occurrence of WMSDs and related risk factors of key occupational populations in different regions in China were collected. By using Chi-square test and confirmatory factor analysis, the relationship between shoulder fatigue and pain in key occupational groups and individual factors, work type, work posture and work organization was discussed, and the internal relationship was analyzed based on structural equation model.Results:Higher incidence of shoulder fatigue and pain were associated with female, lack of physical exercise, uncomfortable working posture and neck leaning forward ( P<0.05). Structural equation model analysis showed that work type, work posture and work organization were strongly correlated ( r=0.58, 0.55). Work organization and work type were strongly correlated with shoulder fatigue ( r=0.65) and moderately correlated with shoulder fatigue ( r=0.21). Shoulder fatigue was moderately associated with shoulder pain ( r=0.40). Individual factors, work type, work posture and shoulder fatigue could directly affect shoulder pain ( OR=0.07, -0.09, 0.17 and 0.40), and work type and work posture could also indirectly affect shoulder pain through shoulder fatigue ( OR=0.08, 0.03). Work organization only indirectly affected shoulder pain through shoulder fatigue ( OR=0.26) . Conclusion:The main influencing factor of shoulder pain is shoulder fatigue, followed by work posture and individual factors. Structural equation model can better reflect the complex relationship between work type, work posture and work organization and shoulder WMSDs. Improving work posture and work organization may be an effective way to control the influence of shoulder fatigue on shoulder pain.

Objective:To explore the structural equation model to explore the levels of work-related musculoskeletal disorders (WMSDs) and various risk factors in the feet and ankle of China's occupational population, providing scientific basis for for preventing WMSDs in feet and ankles.Methods:Data of 73497 national occupational epidemiological cases were selected from June 2018 to December 2023 used the Chinese version of the Electronic Questionnaire on Musculoskeletal Disorders. The adverse ergonomic factors and their source classification standard and confirmatory factor analysis were used to investigate foot and ankle WMSDs and their related risk factors (including individual factors, work organization, work posture, work type, fatigue, etc.) in key occupational groups in China, and structural equation model hypothesis, fitting, verification, and path and intermediary effect analysis were carried out. The model fit evaluation indexes included Chi-square specific degrees of freedom ( χ2/ df), gauge fit index (NFI), Tucker Lewis index (TLI), goodness of Fit index (GFI), adjusted Goodness of Fit index (AGFI) and approximate root mean square error (RMSEA) . Results:A total of 73497 occupational workers were surveyed, with local muscle fatigue and WMSDs incidence rates in the feet and ankles being 17.17% and 12.06%, respectively. The fitting index of the adjusted structural equation model basically meets the standard (GFI=1, AGFI=1, RMESA=0.042, NFI=0.716, TLI=0.663). The top three factors affecting feet and ankle WMSDs are feet and ankle muscle fatigue, work type, and work organization, with standardized path coefficients of 0.221, 0.105, and 0.095, respectively. The top two factors affecting feet and ankle muscle fatigue are work organization and work type, with standardized path coefficients of 0.548 and 0.383, respectively. Feet and ankle muscle fatigue, work type, work organization, and work posture have a direct effect on feet and ankle WMSDs, with effect values of 0.221, 0.105, 0.095, and 0.077, respectively. The organization and type of work can also have indirect effects through feet and ankle muscle fatigue, with effect values of 0.121 and 0.084, respectively.Conclusion:Feet and ankle muscle fatigue has a direct impact on WMSDs, and plays a mediating role between ankle and ankle WMSDs caused by work organization and work type. Feet and ankle muscle fatigue is an important pathway leading to feet and ankle WMSDs. It is recommended that employers and managers detect job fatigue early and take corresponding prevention and intervention measures, which can play a key role in preventing feet and ankle WMSDs.

Objective:To explore the structural relationship between WMSDs in the upper limbs and various risk factors in the occupational population in China, based on a large sample epidemiological survey and structural equation analysis, and to establish a structural equation model, so as to lay a foundation for the prevention and control of such diseases.Methods:The Chinese version of the Musculoskeletal Disorders Electronic Questionnaire was used to conduct a nationwide survey on the prevalence of WMSDs in the upper extremity. Six factors related to WMSDs in the upper extremity were extracted by the classification standard of adverse ergonomic factors and their source and confirmatory factor analysis, including work organization, work type, upper extremity work posture, individual factors, upper extremity fatigue and upper extremity WMSDs. The structural equation analysis was carried out and the structural equation model was established.Results:The incidence of WMSDs and fatigue in the upper limbs was 24.44% and 43.76%, respectively. The adjusted structural equation model fitting indicators were generally up to the standard (GFI=1.000, AGFI=1.000, RMSEA=0.043, NFI=0.808, TLI=0.784) . The four exogenous latent variables of work organization, work type, upper limb work posture and individual factors were correlated. There was a strong positive correlation between job type and upper limb work posture ( r=0.865) , a moderate positive correlation between work organization and job type and upper limb work posture ( r=0.570, 0.490) , and a weak negative correlation between individual factors and the other three exogenous latent variables. Upper limb work posture and individual factors had direct effects on upper limb WMSDs, and the effect coefficients were 0.10 and 0.06, respectively. Upper limb fatigue played a mediating role between work organization, work type, upper limb work posture and upper limb WMSDs. The effect coefficient was 0.46, and the composition ratios of indirect effects were 100.0%, 100.0%, and 38.3%, respectively. The direct path effect of upper limb work posture, individual factors and upper limb WMSDs was weaker than the mediating path through upper limb fatigue. Conclusion:When carrying out the prevention and control of upper limbWMSDs, it is necessary to comprehensively consider the pathogenesis path of upper limb muscle fatigue and upper limb WMSDs caused by work organization, work type, and upper limb work posture, so as to provide theoretical reference for improving the prevention and control level of such diseases.

Objective To investigate the distribution and antimicrobial resistance profiles of common pathogens isolated from cerebrospinal fluid(CSF)in CHINET program from 2015 to 2021.Methods The bacterial strains isolated from CSF were identified in accordance with clinical microbiology practice standards.Antimicrobial susceptibility test was conducted using Kirby-Bauer method and automated systems per the unified CHINET protocol.Results A total of 14 014 bacterial strains were isolated from CSF samples from 2015 to 2021,including the strains isolated from inpatients(95.3％)and from outpatient and emergency care patients(4.7％).Overall,19.6％of the isolates were from children and 80.4％were from adults.Gram-positive and Gram-negative bacteria accounted for 68.0％and 32.0％,respectively.Coagulase negative Staphylococcus accounted for 73.0％of the total Gram-positive bacterial isolates.The prevalence of MRSA was 38.2％in children and 45.6％in adults.The prevalence of MRCNS was 67.6％in adults and 69.5％in children.A small number of vancomycin-resistant Enterococcus faecium(2.2％)and linezolid-resistant Enterococcus faecalis(3.1％)were isolated from adult patients.The resistance rates of Escherichia coli and Klebsiella pneumoniae to ceftriaxone were 52.2％and 76.4％in children,70.5％and 63.5％in adults.The prevalence of carbapenem-resistant E.coli and K.pneumoniae(CRKP)was 1.3％and 47.7％in children,6.4％and 47.9％in adults.The prevalence of carbapenem-resistant Acinetobacter baumannii(CRAB)and Pseudomonas aeruginosa(CRPA)was 74.0％and 37.1％in children,81.7％and 39.9％in adults.Conclusions The data derived from antimicrobial resistance surveillance are crucial for clinicians to make evidence-based decisions regarding antibiotic therapy.Attention should be paid to the Gram-negative bacteria,especially CRKP and CRAB in central nervous system(CNS)infections.Ongoing antimicrobial resistance surveillance is helpful for optimizing antibiotic use in CNS infections.

Objective To investigate the antimicrobial resistance of clinical isolates from elderly patients(≥65 years)in major medical institutions across China.Methods Bacterial strains were isolated from elderly patients in 52 hospitals participating in the CHINET Antimicrobial Resistance Surveillance Program during the period from 2015 to 2021.Antimicrobial susceptibility test was carried out by disk diffusion method and automated systems according to the same CHINET protocol.The data were interpreted in accordance with the breakpoints recommended by the Clinical and Laboratory Standards Institute(CLSI)in 2021.Results A total of 514 715 nonduplicate clinical isolates were collected from elderly patients in 52 hospitals from January 1,2015 to December 31,2021.The number of isolates accounted for 34.3％of the total number of clinical isolates from all patients.Overall,21.8％of the 514 715 strains were gram-positive bacteria,and 78.2％were gram-negative bacteria.Majority(90.9％)of the strains were isolated from inpatients.About 42.9％of the strains were isolated from respiratory specimens,and 22.9％were isolated from urine.More than half(60.7％)of the strains were isolated from male patients,and 39.3％isolated from females.About 51.1％of the strains were isolated from patients aged 65-＜75 years.The prevalence of methicillin-resistant strains(MRSA)was 38.8％in 32 190 strains of Staphylococcus aureus.No vancomycin-or linezolid-resistant strains were found.The resistance rate of E.faecalis to most antibiotics was significantly lower than that of Enterococcus faecium,but a few vancomycin-resistant strains(0.2％,1.5％)and linezolid-resistant strains(3.4％,0.3％)were found in E.faecalis and E.faecium.The prevalence of penicillin-susceptible S.pneumoniae(PSSP),penicillin-intermediate S.pneumoniae(PISP),and penicillin-resistant S.pneumoniae(PRSP)was 94.3％,4.0％,and 1.7％in nonmeningitis S.pneumoniae isolates.The resistance rates of Klebsiella spp.(Klebsiella pneumoniae 93.2％)to imipenem and meropenem were 20.9％and 22.3％,respectively.Other Enterobacterales species were highly sensitive to carbapenem antibiotics.Only 1.7％-7.8％of other Enterobacterales strains were resistant to carbapenems.The resistance rates of Acinetobacter spp.(Acinetobacter baumannii 90.6％)to imipenem and meropenem were 68.4％and 70.6％respectively,while 28.5％and 24.3％of P.aeruginosa strains were resistant to imipenem and meropenem,respectively.Conclusions The number of clinical isolates from elderly patients is increasing year by year,especially in the 65-＜75 age group.Respiratory tract isolates were more prevalent in male elderly patients,and urinary tract isolates were more prevalent in female elderly patients.Klebsiella isolates were increasingly resistant to multiple antimicrobial agents,especially carbapenems.Antimicrobial resistance surveillance is helpful for accurate empirical antimicrobial therapy in elderly patients.