To introduce and analyze guideline terminology related to clinical question formulation, evidence retrieval and appraisal, and recommendation development.

Objective To analyze the effects of deep learning image reconstruction(DLIR)and adaptive statistical iterative recon-struction V(ASIR-V)on the imaging quality of chest CT in patient with pulmonary nodules,and to evaluate the differences based on different image reconstruction techniques in the detection of efficiency of computer-aided diagnosis(CAD)for pulmonary nodules.Methods The image data of pulmonary nodules of eighty patients with chest CT screening were reconstructed with ASIR-V 80％,DLIR-low(DLIR-L),DLIR-medium(DLIR-M)and DLIR-high(DLIR-H)images,respectively.The objective image quality and sub-jective image quality of the four groups were compared and analyzed.Objective image quality includes CT value of region of interest(ROI),noise,signal-to-noise ratio(SNR),contrast-to-noise ratio(CNR)and image average gradient.The diagnostic efficacy of CAD in detecting pulmonary nodules of reconstructed images among four groups were further evaluated.Results There were no signifi-cant difference in CT value of ROI of reconstructed images among the four groups(P＞0.05).The noise,SNR and CNR of DLIR-H images were similar to those of ASIR-V 80％(P＞0.05),but significantly better than those of DLIR-L and DLIR-M(P＜0.05).The average gradient of DLIR-L,DLIR-M and DLIR-H images were significantly higher than those of ASIR-V 80％(P＜0.05).The subjective image quality scores of DLIR-L,DLIR-M and DLIR-H images were significantly higher than those of ASIR-V 80％(P＜0.05),and the subjective image quality score of DLIR-H image was the highest.CAD showed the highest true positive rate in DLIR-H images for detecting pulmonary nodules(P＜0.05),and CAD showed the highest false positives per capita in ASIR-V 80％images for detecting pulmonary nodules(P＜0.05).Conclusion The noise,SNR and CNR of DLIR-H images are similar to those of ASIR-V 80％,with the significantly higher image clarity and subjective image quality scores.DLIR-H has advantages in CAD detection of pulmonary nodules,which is an ideal image reconstruction technology for chest CT pulmonary nodule screening.

Objective:To explore the impacts of dexmedetomidine combined with dizosin on sciatic nerve-femoral nerve block and blood glucose in diabetes foot patients undergoing surgery.Methods:A total of 120 diabetes foot patients underwent surgery who were admitted to Second Hospital of Shanxi Medical University from Jul. 2020 to Aug. 2022 were selected as the research objects. The anesthesia method was sciatic nerve block-femoral nerve block, and were randomly grouped into the control group (60 cases) and the observation group (60 cases). The control group was treated with diazosin, while the observation group was treated with dexmedetomidine combined with diazosin. The effects of sciatic nerve block and femoral nerve block, and blood glucose level were compared between the two groups.Results:The VAS scores at T1, T2 and T3 in the two groups were obviously lower than those at T0, and the VAS scores in the observation group were obviously lower than those in the control group ( P<0.05). The onset time of motor nerve block and sensory nerve block in the observation group was obviously lower than that in the control group ( P<0.05). The maintenance time of motor nerve and sensory nerve in the observation group was obviously higher than that in the control group ( P<0.05). Compared with T0, systolic blood pressure, diastolic blood pressure and heart rate in T1, T2 and T3 time periods in the two groups were obviously lower, and the observation group were obviously lower than the control group ( P<0.05) ; The observation group had no significant difference compared with the control group in terms of the incidence of adverse reactions. Conclusion:Dexmedetomidine combined with dizosin can effectively relieve pain, improve nerve function block, and maintain the stability of hemodynamics in diabetes foot patients undergoing surgery.

Objective In this study,we analyzed the transcriptome sequences of Kupffer cells exposed to simulated microgravity for 3 d and conducted biological experiments to determine how microgravity initiates apoptosis in Kupffer cells. Methods Rotary cell culture system was used to construct a simulated microgravity model.GO and KEGG analyses were conducted using the DAVID database.GSEA was performed using the R language.The STRING database was used to conduct PPI analysis.qPCR was used to measure the IL1B,TNFA,CASP3,CASP9,and BCL2L11 mRNA expressions.Western Blotting was performed to detect the level of proteins CASP3 and CASP 9.Flow cytometry was used to detect apoptosis and mitochondrial membrane cells.Transmission electron microscopy was used to detect changes in the ultrastructure of Kupffer cells. Results Transcriptome Sequencing indicated that simulated microgravity affected apoptosis and the inflammatory state of Kupffer cells.Simulated microgravity improved the CASP3,CASP9,and BCL2L11 expressions in Kupffer cells.Annexin-V/PI and JC-1 assays showed that simulated microgravity promoted apoptosis in Kupffer cells.Simulated microgravity causes M1 polarization in Kupffer cells. Conclusion Our study found that simulated microgravity facilitated the apoptosis of Kupffer cells through the mitochondrial pathway and activated Kupffer cells into M1 polarization,which can secrete TNFA to promote apoptosis.

Objective To evaluate the perioperative safety of lung surgery for patients with corona virus disease 2019 (COVID-19). Methods We retrospectively analyzed the clinical data of the patients recovered from COVID-19 infection and received lung surgery from December 2022 to February 2023 in the Department of Thoracic Surgery at Beijing Hospital. Patients who received lung surgery and without COVID-19 at the same time were selected as a control group. Perioperative data between the two groups were compared. Results A total of 103 patients were included with 44 males and 49 females at an average age of (62.2±12.1) years. All surgeries were performed by uniportal video-assisted thoracoscopic surgery (VATS). Among patients who recovered from COVID-19, 53 (51.5%) received lobectomy, 30 (29.1%) received segmentectomy, and 20 (19.4%) received wedge resection. The interval between diagnosis of infection and lung surgery was ≤1 month in 32 (31.1%) patients, and >1 month in 71 (68.9%) patients. The results of virus nucleic acid test for all patients before surgery were negative. A total of 13 (12.6%) patients had positive IgM, and 100 (97.1%) patients had positive IgG. A total of 20 patients experienced perioperative complications (13 patients with pulmonary air leakage, 3 patients with chylothorax, 2 patients with atrial fibrillation, and 2 patients with severe pulmonary complications). There was one perioperative death. Comparing the patients who recovered from COVID-19 with those without COVID-19, we found no statistical difference in perioperative outcomes including surgical duration, postoperative drainage, duration of thoracic tube, and duration of postoperative stay (P>0.05). There was no significant difference in perioperative complications between the two groups (P>0.05). Multivariable logistical regression analysis demonstrated that positive IgM before surgery (OR=7.319, 95%CI 1.669 to 32.103, P=0.008), and longer duration of surgery (OR=1.016, 95%CI 1.003 to 1.028, P=0.013) were independent risk factors of perioperative complications for patients who recovered from COVID-19. Conclusion It is safe for patients recover from COVID-19 to receive lung surgery when symptoms disappear and the nucleic acid test turn negative. However, positive COVID-19 IgM is an independent risk factor for perioperative complications. We suggest that lung surgery could be performed when the nucleic acid test and COVID-19 IgM are both negative for patients recover from COVID-19 infection.

Diagnostic criteria, as a critical component of clinical practice guidelines, play a direct role in guiding clinicians' diagnostic and treatment decisions. Although China has increasingly emphasized the development and updating of clinical guidelines in recent years, research focusing on the diagnostic criteria within these guidelines remains limited. This paper aims to explore the types of diagnostic criteria, the issues they present, and the processes involved in their formulation. Based on this analysis, suggestions are proposed to improve the recommendation and application of diagnostic criteria in Chinese guidelines.

  Objective  To promote the development of high-quality health standards in China and summarize the characteristics of global health standards management systems and development processes.  Methods  We conducted a systematic search of relevant databases and the websites of standardization institutions. A descriptive method was used to analyze the basic characteristics of the standard management systems and development processes.  Results  The majority of the investigated countries and organizations primarily implement voluntary standards, with the exception of Chinese and the European Committee for Standardization that enforce compulsory standards. All countries and organizations have health standards at the national, group, and enterprise levels. In China and Japan, standards authorities are subordinate to the government, while in other countries or organizations, they operate as independent civil societies. The development process for health standards generally involves five stages: "Project/Proposal → Draft → Enquiry → Review → Publication". However, the specific steps in the development of health standards vary across different countries and organizations. Furthermore, China ranks high in the number of both standards and health standards issued, but the proportion of health standards is only 2.06%.  Conclusions  There are significant differences between China and other countries in terms of the management system and development process of health standards. To promote the management and development of high-quality health standards in China, we recommend promoting the coordination mechanism for standard development, increasing efforts to publicize standards and evaluate the implementation effect, strengthening the construction of personnel for the development of health standards, optimizing the efficiency of standard development and improving the internationalization level of health standards.

Objective To explore the value of artificial intelligence federated learning system based on chest X-ray films for pathogen diagnosis of community-acquired pneumonia(CAP)in children.Methods Totally 900 cases of CAP children from 2 hospitals were retrospectively enrolled,including bacterial,viral and mycoplasma CAP(each n=300),and chest posteroanterior X-ray films were collected.Meanwhile,chest posteroanterior X-ray films of 5856 children from the publicly available dataset GWCMCx were collected,including 4273 CAP images and 1583 healthy chest images.All above 6756 images were divided into training set(n=5359)and validation set(n=1397)at the ratio of 8∶2.Then a pathogen diagnosis model of children CAP was established based on attention mechanism.Binary and ternary diagnostic algorithms were designed,and federated deployment training was performed.The efficacy of this system for pathogen diagnosis of children CAP was analyzed and compared with DenseNet model.Results Based on all data,the accuracy of the obtained artificial intelligence federated learning system model for diagnosing children CAP was 97.00%,with the area under the curve(AUC)of 0.990.Based on hospital data,the AUC of this system using single imaging data and clinical-imaging data for pathogen diagnosis of children CAP was 0.858 and 0.836,respectively,both better than that of DenseNet model(0.740,both P＜0.05).Conclusion The artificial intelligence federated learning system based on chest X-ray films could be used for pathogen diagnosis of children CAP.

Diagnostic criteria, as a critical component of clinical practice guidelines, play a direct role in guiding clinicians' diagnostic and treatment decisions. Although China has increasingly emphasized the development and updating of clinical guidelines in recent years, research focusing on the diagnostic criteria within these guidelines remains limited. This paper aims to explore the types of diagnostic criteria, the issues they present, and the processes involved in their formulation. Based on this analysis, suggestions are proposed to improve the recommendation and application of diagnostic criteria in Chinese guidelines.

Purpose: Patients with advanced biliary tract cancer (BTC) have a poor survival. We aim to evaluate the efficacy and safety of nab-paclitaxel plus gemcitabine and cisplatin regimen in Chinese advanced BTC patients. Materials and Methods: Eligible patients with locally advanced or metastatic BTC administrated intravenous 100 mg/m2 nab-paclitaxel, 800 mg/m2 gemcitabine, and 25 mg/m2 cisplatin every 3 weeks. The primary endpoint was progression-free survival (PFS). The secondary endpoints included overall survival (OS) and adverse events, while exploratory endpoint was the association of biomarkers with efficacy. Results: After the median follow-up of 25.0 months, the median PFS and OS of 34 enrolled patients were 7.1 months (95% confidence interval [CI], 5.4 to 13.7) and 16.4 months (95% CI, 10.9 to 23.6), respectively. The most common treatment-related adverse events at ≥ 3 grade were neutropenia (26.5%) and leukopenia (26.5%). Survival analyses demonstrated that carcinoembryonic antigen (CEA) levels could monitor patients’ survival outcomes. A significant increase in the number of infiltrating CD4+ cells (p=0.008) and a decrease in programmed death-1–positive (PD-1+) cells (p=0.032) were observed in the response patients. Conclusion In advanced BTC patients, nab-paclitaxel plus gemcitabine and cisplatin regimen showed therapeutic potential. Potential prognostic factors of CEA levels, number of CD4+ cells and PD-1+ cells may help us maximize the efficacy benefit.