Background::Computer-aided detection (CAD) software has been introduced to automatically interpret digital chest X-rays. This study aimed to evaluate the performance of CAD software (JF CXR-1 v3.0, which was developed by a domestic Hi-tech enterprise) in tuberculosis (TB) case finding in China.Methods::In 2019, we conducted an internal evaluation of the performance of JF CXR-1 v3.0 by reading standard images annotated by a panel of experts. In 2020, using the reading results of chest X-rays by a panel of experts as the reference standard, we conducted an on-site prospective study to evaluate the performance of JF CXR-1 v3.0 and local radiologists in TB case finding in 13 township health centers in Zhongmu County, Henan Province.Results::Internal assessment results based on 277 standard images showed that JF CXR-1 v3.0 had a sensitivity of 85.94% (95% confidence interval [CI]: 77.42%, 94.45%) and a specificity of 74.65% (95% CI: 68.81%, 80.49%) to distinguish active TB from other imaging conditions. In the on-site evaluation phase, images from 3705 outpatients who underwent chest X-ray detection were read by JF CXR-1 v3.0 and local radiologists in parallel. The imaging diagnosis of local radiologists for active TB had a sensitivity of 32.89% (95% CI: 22.33%, 43.46%) and a specificity of 99.28% (95% CI: 99.01%, 99.56%), while JF CXR-1 v3.0 showed a significantly higher sensitivity of 92.11% (95% CI: 86.04%, 98.17%) ( p < 0.05) and maintained high specificity at 94.54% (95% CI: 93.81%, 95.28%). Conclusions::CAD software could play a positive role in improving the TB case finding capability of township health centers.

Objective:To explore the relationship between the expressions of miR-217 and miR-4286 in gastric cancer tissues and gastric cancer complicated with Helicobacter pylori(HP)infection,as well as their predictive value for prognosis.Methods:A total of 225 patients who underwent radical gastrectomy for gastric cancer in the First Af-filiated Hospital of Xingtai Medical College from January 2021 to February 2023 were selected and divided into the HP+group and the HP-group according to whether they were complicated with HP infection.The expressions of miR-217 and miR-4286 in gastric cancer tissues were detected by real-time fluorescence quantitative PCR,the rela-tionship between the expressions of miR-217 and miR-4286 and HP infection in patients with gastric cancer was evaluated by Spearman correlation analysis.Regular outpatient reexaminations were conducted for a 2-year follow-up.Gastric cancer patients with recurrence or all-cause death during the follow-up period were included in the poor prognosis group,and the rest were included in the good prognosis group.Univariate and multivariate Logistic regres-sion analysis methods were used to screen the influencing factors of gastric cancer prognosis,the ROC curve was used to evaluate the predictive value of miR-217 and miR-4286 expressions for the prognosis of gastric cancer.Re-sults:Compared with the HP-group,the expressions of miR-217 and miR-4286 in the HP+group were up-regulated(P<0.05),and the expressions of miR-217 and miR-4286 were positively correlated with gastric cancer pa-tients with HP infection(r=0.652,0.485,P<0.05).Compared with the good prognosis group,the proportion of TNM stage Ⅲ,lymph node metastasis and HP infection in the poor prognosis group was higher,and the expressions of miR-217 and miR-4286 were up-regulated,with statistical significance(P<0.05).The results of multivariate Logistic regression analysis showed that TNM stage Ⅲ(OR=1.425),lymph node metastasis(OR=1.548),HP infection(OR=1.465),high expression of miR-217(OR=1.608),and high expression of miR-4286(OR=1.544)are the influencing fac-tors for poor prognosis of gastric cancer(P<0.05).The ROC curve showed that the AUC of the combined prediction of miR-217 and miR-4286 in gastric cancer tissues for poor prognosis in patients with gastric cancer was 0.922,which was higher than that of miR-217(0.817)and miR-4286(0.806)alone(Z=6.527,7.025;both P<0.05).Conclu-sion:The expressions of miR-217 and miR-4286 in gastric cancer tissues are closely related to HP infection in gas-tric cancer patients,and the combination of Mir-217 and Mir-4286 is effective in predicting the poor prognosis after radical gastritis.

Objective:To investigate the current status and influencing factors of decision anxiety in guardians of children with acute appendicitis under Endoscopic retrograde appendicitis therapy (ERAT) background, and to provide reference for the development of targeted intervention programs for decision anxiety.Methods:Convenient sampling method was used to select 254 guardians of children with acute appendicitis treated in the Department of Pediatrics, Second Affiliated Hospital of PLA Air Force Medical University from February 2023 to April 2024. A cross-sectional survey was conducted using the General Data Questionnaire, the State-Trait Anxiety Inventory Form Y-State anxiety subscale and the Preparation for Decision Making Scale. Multiple linear regression was used to analyze the influencing factors in guardians of children with acute appendicitis.Results:Among the guardians of 254 children with acute appendicitis, 156 were males and 98 were females, aged (37.44 ± 3.63) years old. The decision anxiety score of guardians of children with acute appendicitis was (52.49 ± 6.54). The results of multiple linear regression showed that age of children, gender of guardian, education level of guardian, per capita monthly income of family, decision making tendency and decision preparation were the main influencing factors of decision anxiety in guardians of children with acute appendicitis ( t values were -7.07-3.58, all P<0.05), which could explain 64.4% of the total variation. Conclusions:The decision anxiety in guardians of children with acute appendicitis is at a high level. Medical staff should provide targeted decision guidance, improve decision assistance programs and provide more effective decision support for guardians of children with acute appendicitis.

Objective To construct a home care readiness program for caregivers of patients with chronic heart failure based on the McMaster Family Functioning Model and explore its application effects.Methods The pro-gram was developed through literature analysis,expert correspondence and pre-testing.86 pairs of patients with chronic heart failure and their caregivers who were admitted to the Department of Cardiology of a tertiary-level hos-pital in Bengbu City were conveniently selected from December 2023 to April 2024 as the study subjects.Using the coin-flip method,the patients were randomly divided into 43 pairs in an experimental group and 43 pairs in a control group on a ward-by-ward basis.The experimental group implemented the program on the basis of routine care,and the control group was given routine care.Differences in caregiver home care readiness,caregiver caregiv-ing ability and patients' quality of life were compared between the 2 groups at the time of admission,at the time of discharge,and 1 and 3 months after discharge.Results A total of 81 pairs of patients and their caregivers completed the intervention,with 41 in the experimental group and 40 in the control group.Repeated-measures ANOVA showed that there was an interaction effect between time and group for caregiver home care readiness,caregiver caregiving ability,and patient quality of life in both groups(F=320.995,P＜0.001;F=83.303,P＜0.001;F=113.283,P＜0.001).Simple effect analyses showed that caregiver home care readiness and caregiver caregiving com-petence scores were higher in the experimental group than those in the control group at the time of discharge and at 1 and 3 months post-discharge(P＜0.001);quality of life scores of patients in the experimental group were lower than it in the control group at 1 and 3 months post-discharge(P＜0.001).Conclusion The implemen-tation of the program can effectively improve the home care readiness and caregiving ability of caregivers of pa-tients with chronic heart failure,and improve the quality of life of patients.

Body weight abnormalities, including overweight, obesity, and underweight, have become a dual public health challenge in Chinese adults: overweight and obesity lead to a variety of chronic complications, while underweight increases the risks of malnutrition, sarcopenia, and organ dysfunction. To systematically address these issues, multidisciplinary experts in endocrinology, sports science, nutrition, and psychiatry from various regions have held multiple weight management seminars. Based on the latest epidemiological data and clinical evidence, they expanded the guideline to include assessment and intervention strategies for underweight, in addition to the core content of obesity management. This guideline outlines the etiological mechanisms, evaluation methods, and multidimensional management strategies for overweight and obesity, covering key areas such as diagnosis and assessment, medical nutrition therapy, exercise prescription, pharmacological intervention, and psychological support. It is intended to provide a scientific and standardized approach to weight management across the adult population, aiming to curb the rising prevalence of obesity, mitigate complications associated with abnormal body weight, and improve nutritional status and overall quality of life.

Objective:This study aimed to investigate the regulatory role and mechanism of myosin heavy chain 9 (MYH9) in the invasion of Zika virus (ZIKV) into human glioma cells (U251).Methods:Utilizing CRISPR/Cas9 technology, MYH9-knockout U251 cells (U251-MYH9 KD) were constructed. Following ZIKV infection, the protein expression levels, RNA load, and viral titer of ZIKV were detected through western blot (WB), Real-time fluorescence quantitative polymerase chain reaction (qPCR), and plaque formation assays, respectively. The infection efficiency of ZIKV in U251 cells treated with the MYH9 inhibitor blebbistatin was assessed. The binding and internalization efficiency of ZIKV were measured in U251-MYH9 KD cells. The interaction between MYH9 and the ZIKV envelope protein (E) was studied using co-immunoprecipitation (Co-IP). The effects of soluble MYH9 recombinant protein and anti-human MYH9 antibodies on ZIKV infection were evaluated by qPCR and plaque formation assays. Results:It was found that knockout or inhibition of MYH9 significantly suppressed ZIKV infection in U251 cells. MYH9 knockout notably inhibited the binding and internalization of ZIKV in U251 cells. MYH9 interacted with the ZIKV E protein, and both MYH9 recombinant protein and anti-human MYH9 antibodies, by blocking the binding of ZIKV E protein to cell surface MYH9, inhibited ZIKV infection in U251 cells in a dose-dependent manner.Conclusions:MYH9 facilitates ZIKV invasion into U251 cells through interaction with the ZIKV E protein.

Objective:To develop an artificial intelligence (AI)-based platelet review strategy to identify abnormal platelet histograms with no significant difference between initial impedance platelet count (PLT-I) and PLT-F results.Methods:This study included 5 119 routine blood analysis in Nanfang Hospital of Southern Medical University and its Ganzhou branch from July 2023 and March 2024. Specimens exhibiting abnormal platelet histograms and an initial platelet count >40×10?/L underwent review using the fluorescent platelet count (PLT-F) channel. Consistency of the results was defined as a difference between impedance platelet count (PLT-I) and PLT-F less than ±20% of the PLT-F results. A deep learning model was developed using platelet and red blood cell histogram data from a training set of 3 807 specimens. The model′s diagnostic performance was evaluated on an independent external validation set ( n=805) using receiver operating characteristic (ROC) curve analysis. Changes in the number of reviewed samples and sample turnaround time were analyzed to assess its clinical utility. Results:The deep learning model based on platelet and red blood cell histograms achieved an area under the ROC curve (AUC) of 0.854 in the training set. At a cutoff value of 0.1, the sensitivity was 0.954 and specificity was 0.358. The model could reduce review by 16.80% (190/1 131). In the validation set, the AUC was 0.805, with a sensitivity of 0.955 and specificity of 0.307, corresponding to a reduction of 17.41% (47/270) in reviewed specimens.Conclusion:The platelet review prediction model developed based on deep learning technology can efficiently identify samples with consistent results before and after review, reducing unnecessary reviews and shortening specimen testing time, thereby improving the efficiency of platelet test.

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 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.