Objective To explore the independent risk factors for early failure of internal mammary artery grafts after coronary artery bypass grafting (CABG), and to construct and preliminarily evaluate a risk prediction model for the decline of internal mammary artery bridges, optimizing postoperative risk stratification and management strategies for patients. Methods Patients who underwent CABG at Fuwai Hospital, Chinese Academy of Medical Sciences from January 2016 to January 2020 were retrospectively enrolled. The primary endpoint was the failure of the internal mammary artery bridge one year after surgery, and the secondary endpoint was major adverse cardiac and cerebrovascular events (MACCE) within five years after surgery, including all-cause death, myocardial infarction, stroke, and revascularization. Patients were divided into a failure group and a non-failure group based on whether there was early failure of the internal mammary artery bridge after surgery. Independent risk factors for the failure of the internal mammary artery bridge were explored through the least absolute shrinkage and selection operator regression and multivariate logistic regression, and a failure risk prediction model was constructed and cross-validated. Patients were stratified for MACCE risk according to the total score of independent risk factors, and the 5-year cumulative MACCE-free rate was drawn using the Kaplan-Meier method. Results A total of 657 patients were included, among whom there were 54 patients in the failure group, including 38 males and 16 females, with an average age of (61.85±8.03) years; there were 603 patients in the non-failure group, including 467 males and 136 females, with an average age of (60.45±8.23) years. Multivariate logistic regression analysis showed that non-left main lesion [OR=3.28, 95%CI (1.41, 7.62), P=0.006], pulsatility index (PI)>3.0 [OR=2.63, 95%CI (1.20, 5.75), P=0.016], quantitative flow ratio (QFR)>0.80 [OR=5.57, 95%CI (2.98, 10.41), P<0.001] and in-hospital complications [OR=4.02, 95%CI (1.59, 10.19), P=0.003] were independent risk factors for the failure of internal mammary artery grafts after CABG. Compared with the prediction model in previous literature [area under receiver operating characteristic curve was 0.632, 95%CI (0.588, 0.688)], the risk prediction model constructed with QFR>0.80, PI>3.0, non-left main lesion and in-hospital complications had a higher predictive ability for early failure of internal mammary artery grafts [area under curve: 0.758, 95%CI (0.707, 0.817); net reclassification index: 0.272, 95%CI (0.180, 0.370); comprehensive discriminative improvement index: 0.109, 95%CI (0.059, 0.158); P<0.05]. The risk score of independent risk factors for internal mammary artery graft failure demonstrated significant MACCE risk stratification efficiency in the 5-year patient follow-up, with the high-risk group showing a significantly higher incidence of MACCE compared to the medium and low-risk groups (P=0.001). Conclusion QFR>0.80, PI>3.0, non-left main lesions, and in-hospital complications are independent risk factors for early failure of internal mammary artery grafts after CABG. The constructed risk prediction model based on this has preliminary capabilities in predicting the risk of internal mammary artery graft failure and MACCE risk stratification, which is beneficial for the postoperative management of CABG patients and improving their mid-long term prognosis.

Traditional manual testing of ventilator performance is labor-intensive, time-consuming, and prone to errors in data recording, making it difficult to meet the current demands for testing efficiency in the development and manufacturing of ventilators. Therefore, in this study we designed an automated testing system for essential performance parameters of ventilators. The system mainly comprises a ventilator airflow analyzer, an automated switch module for simulated lungs, and a test control platform. Under the control of testing software, this system can perform automated tests of critical performance parameters of ventilators and generate a final test report. To validate the effectiveness of the designed system, tests were conducted on two different brands of ventilators under four different operating conditions, comparing tidal volume, oxygen concentration, and positive end expiratory pressure accuracy using both the automated testing system and traditional manual methods. Bland-Altman statistical analysis indicated good consistency between the accuracy of automated tests and manual tests for all respiratory parameters. In terms of testing efficiency, the automated testing system required approximately one-third of the time needed for manual testing. These results demonstrate that the designed automated testing system provides a novel approach and means for quality inspection and measurement calibration of ventilators, showing broad application prospects.
Ventilators, Mechanical/standards* ; Equipment Design ; Humans ; Automation

Objective:To study the results of detection of pulmonary nodules among military flying personnel and analyze the contributors to pulmonary nodules so as to provide data for early prevention and interventions.Methods:The physical examination data of 1 465 military flying personnel was retrospectively analyzed who had received the annual health checkup and undergone chest CT examinations at Lintong Rehabilitation and Recuperation Center. They were grouped by age (<40 years and ≥40 years), flying hour (<1 000 h and ≥1 000 h) and type of personnel [pilots and air support (technical) personnel]. The detection rates of pulmonary nodules among flying personnel were compared across groups, and a multivariate Logistic regression analysis was conducted to analyze the contributing factors to pulmonary nodules.Results:Among the 1 465 military flying personnel, 212 cases (14.47%) with pulmonary nodules were detected. A total of 230 pulmonary nodules were detected, including 35 pulmonary nodules (15.22%) in the left upper lung, 42 pulmonary nodules (18.26%) in the left lower lung, 52 pulmonary nodules (22.61%) in the right upper lung, 47 pulmonary nodules (20.43%) in the right middle lung, and 54 pulmonary nodules (23.48%) in the right lower lung. The detection rate of pulmonary nodules among military flying personnel in the ≥1 000 h group was higher than in the <1 000 h group, and the difference was statistically significant ( χ2=4.14, P=0.042). More pulmonary nodules were detected among military flying personnel who smoked than among those who did not, and the difference was statistically significant ( χ2=9.34, P=0.002). Age, types of personnel, body mass index, and complications with other lung diseases made no significant difference in the detection rate of pulmonary nodules (all P>0.05). Multivariate Logistic regression analysis showed that smoking was a risk factor for pulmonary nodules ( OR=1.692, 95% CI: 1.217-2.351). Conclusions:Among military flying personnel, pulmonary nodules are more likely to occur in the right lung. Smoking is an independent risk factor for pulmonary nodules, suggesting that routine chest CT screening should be carried out during the annual physical examinations of military flying personnel in order to exercise early interventions.

Objective:To analyze the correlation between blood glucose index and peripheral neuropathy in type 2 diabetes patients under continuous blood glucose monitoring.Methods:A total of 110 patients with type 2 diabetes admitted to the Lu′an Hospital Affiliated to Anhui Medical University from November 2022 to January 2024 were retrospectively observed, and the blood glucose indexes of patients were monitored by continuous glucose meter [glucose time in range (TIR), mean blood glucose (MBG), estimated hemoglobin A 1c (eHbA 1c), blood glucose standard deviation (SD), coefficient of variation (CV), largest amplitude of glycemic excursions (LAGE), mean amplitude of glycemic excursions (MAGE), means of daily differences (MODD), etc ]. All patients with type 2 diabetes were grouped according to whether they had peripheral neuropathy or not, and were divided into the developing group and the non-developing group. General data and blood glucose indexes of the two groups were collected and sorted out. Receiver operating characteristic (ROC) curve was used to analyze the value of various blood glucose indicators in predicting peripheral neuropathy in patients with type 2 diabetes. Spearman correlation analysis was also used to evaluate the correlation between blood glucose index and peripheral neuropathy. Results:The disease course, TIR, MBG, eHbA 1c, SD, CV, LAGE, MAGE and MODD of the occurrence group were significantly different from those of the non-occurrence group (all P<0.05). By plotting the ROC curve, It was found that the area under the curve (AUC) of TIR, MBG, eHbA 1c, SD, CV, LAGE, MAGE and MODD predicting peripheral neuropathy in patients with type 2 diabetes were 0.942, 0.840, 0.705, 0.759, 0.819, 0.813, 0.857 and 0.677, respectively. The AUC of the combined prediction was 0.971(95% CI: 0.946-0.997), which was higher than that of the single indicator (all P<0.05). Spearman correlation assessment showed a negative correlation between TIR and peripheral neuropathy ( r=-0.738, P<0.05). MBG, eHbA 1c, SD, CV, LAGE, MAGE and MODD were positively correlated with peripheral neuropathy ( r=0.554, 0.376, 0.452, 0.490, 0.527, 0.625, 0.272, all P<0.05). Conclusions:Based on continuous blood glucose monitoring, the blood glucose index of type 2 diabetes patients is closely related to peripheral neuropathy, and the above blood glucose index can accurately predict peripheral neuropathy, providing a reference for reducing or preventing the occurrence of peripheral neuropathy.

Objective:To retrieve, summarize and evaluate the best evidence for the non-pharmacological management of patients with cancer pain, so as to provide an evidence-based basis for the scientific management of cancer pain by healthcare professionals.Methods:A systematic search of the national and international literature on the non-pharmacological management of cancer pain was conducted, with a timeframe of January 2017 to January 2024. The quality of the included literature was evaluated, and evidence was extracted and summarized for those that met the quality criteria.Results:A total of 18 papers were included, including one clinical decision, seven guidelines, three expert consensus, and seven systematic reviews. Twenty-eight pieces of evidence were summarized around six themes of pain assessment, cognitive-behavioral interventions, physical therapy, interventional therapy and surgery, and self-management education and follow-up.Conclusions:Healthcare professionals should develop a patient-centered, appropriate and feasible non-pharmacological management plan for cancer pain with multiple agreements with patients and families, taking into account the clinical context and individual differences of patients in China, in order to improve the quality of life.

Objective:To analyze the correlation between blood glucose index and peripheral neuropathy in type 2 diabetes patients under continuous blood glucose monitoring.Methods:A total of 110 patients with type 2 diabetes admitted to the Lu′an Hospital Affiliated to Anhui Medical University from November 2022 to January 2024 were retrospectively observed, and the blood glucose indexes of patients were monitored by continuous glucose meter [glucose time in range (TIR), mean blood glucose (MBG), estimated hemoglobin A 1c (eHbA 1c), blood glucose standard deviation (SD), coefficient of variation (CV), largest amplitude of glycemic excursions (LAGE), mean amplitude of glycemic excursions (MAGE), means of daily differences (MODD), etc ]. All patients with type 2 diabetes were grouped according to whether they had peripheral neuropathy or not, and were divided into the developing group and the non-developing group. General data and blood glucose indexes of the two groups were collected and sorted out. Receiver operating characteristic (ROC) curve was used to analyze the value of various blood glucose indicators in predicting peripheral neuropathy in patients with type 2 diabetes. Spearman correlation analysis was also used to evaluate the correlation between blood glucose index and peripheral neuropathy. Results:The disease course, TIR, MBG, eHbA 1c, SD, CV, LAGE, MAGE and MODD of the occurrence group were significantly different from those of the non-occurrence group (all P<0.05). By plotting the ROC curve, It was found that the area under the curve (AUC) of TIR, MBG, eHbA 1c, SD, CV, LAGE, MAGE and MODD predicting peripheral neuropathy in patients with type 2 diabetes were 0.942, 0.840, 0.705, 0.759, 0.819, 0.813, 0.857 and 0.677, respectively. The AUC of the combined prediction was 0.971(95% CI: 0.946-0.997), which was higher than that of the single indicator (all P<0.05). Spearman correlation assessment showed a negative correlation between TIR and peripheral neuropathy ( r=-0.738, P<0.05). MBG, eHbA 1c, SD, CV, LAGE, MAGE and MODD were positively correlated with peripheral neuropathy ( r=0.554, 0.376, 0.452, 0.490, 0.527, 0.625, 0.272, all P<0.05). Conclusions:Based on continuous blood glucose monitoring, the blood glucose index of type 2 diabetes patients is closely related to peripheral neuropathy, and the above blood glucose index can accurately predict peripheral neuropathy, providing a reference for reducing or preventing the occurrence of peripheral neuropathy.

Objective:To retrieve, summarize and evaluate the best evidence for the non-pharmacological management of patients with cancer pain, so as to provide an evidence-based basis for the scientific management of cancer pain by healthcare professionals.Methods:A systematic search of the national and international literature on the non-pharmacological management of cancer pain was conducted, with a timeframe of January 2017 to January 2024. The quality of the included literature was evaluated, and evidence was extracted and summarized for those that met the quality criteria.Results:A total of 18 papers were included, including one clinical decision, seven guidelines, three expert consensus, and seven systematic reviews. Twenty-eight pieces of evidence were summarized around six themes of pain assessment, cognitive-behavioral interventions, physical therapy, interventional therapy and surgery, and self-management education and follow-up.Conclusions:Healthcare professionals should develop a patient-centered, appropriate and feasible non-pharmacological management plan for cancer pain with multiple agreements with patients and families, taking into account the clinical context and individual differences of patients in China, in order to improve the quality of life.

Objective:To study the results of detection of pulmonary nodules among military flying personnel and analyze the contributors to pulmonary nodules so as to provide data for early prevention and interventions.Methods:The physical examination data of 1 465 military flying personnel was retrospectively analyzed who had received the annual health checkup and undergone chest CT examinations at Lintong Rehabilitation and Recuperation Center. They were grouped by age (<40 years and ≥40 years), flying hour (<1 000 h and ≥1 000 h) and type of personnel [pilots and air support (technical) personnel]. The detection rates of pulmonary nodules among flying personnel were compared across groups, and a multivariate Logistic regression analysis was conducted to analyze the contributing factors to pulmonary nodules.Results:Among the 1 465 military flying personnel, 212 cases (14.47%) with pulmonary nodules were detected. A total of 230 pulmonary nodules were detected, including 35 pulmonary nodules (15.22%) in the left upper lung, 42 pulmonary nodules (18.26%) in the left lower lung, 52 pulmonary nodules (22.61%) in the right upper lung, 47 pulmonary nodules (20.43%) in the right middle lung, and 54 pulmonary nodules (23.48%) in the right lower lung. The detection rate of pulmonary nodules among military flying personnel in the ≥1 000 h group was higher than in the <1 000 h group, and the difference was statistically significant ( χ2=4.14, P=0.042). More pulmonary nodules were detected among military flying personnel who smoked than among those who did not, and the difference was statistically significant ( χ2=9.34, P=0.002). Age, types of personnel, body mass index, and complications with other lung diseases made no significant difference in the detection rate of pulmonary nodules (all P>0.05). Multivariate Logistic regression analysis showed that smoking was a risk factor for pulmonary nodules ( OR=1.692, 95% CI: 1.217-2.351). Conclusions:Among military flying personnel, pulmonary nodules are more likely to occur in the right lung. Smoking is an independent risk factor for pulmonary nodules, suggesting that routine chest CT screening should be carried out during the annual physical examinations of military flying personnel in order to exercise early interventions.

Diffuse large B-cell lymphoma(DLBCL)is a highly heterogeneous disease.Although standard first-line regimens can cure＞50%of patients,approximately one-third of them develop relapsed/refractory DLBCL(r/r DLBCL).Consequently,immunotherapy targeting molecular abnormalities has become pivotal for managing r/r DLBCL.The results of this review show that with advances in understanding DLBCL pathogenesis and the tumor immune microenvironment,antibody-based therapies have evolved rapidly,progressing from monoclonal antibodies(e.g.,rituximab,tafasitamab)to bispecific antibodies(e.g.,odronextamab,glofitamab,epcoritamab)and antibody-drug conjugate(e.g.,polatuzumab vedotin,loncastuximab tesirine).These engineered agents enhance immune cytotoxicity and tumor-specific targeting,providing novel therapeutic options for r/r DLBCL patients.

Objective To analyze the research status and trend of scarlet fever literature in China, and to provide reference for subsequent research. Methods Three major Chinese databases, CNKI, Wanfang, and VIP, as well as Web of Science English database, were used to search for literature related to scarlet fever from 2000 to 2023. Citespace6.2.R2 software was used to statistically analyze the number of publications, authors, institutions and journals, co-cited literature, keyword clustering, and other literature characteristics of the literature. Results From 2000 to 2023, a total of 1 011 Chinese literature were included in the three major Chinese databases. Since 2011, the number of publications had gradually increased, but in recent years, the number of publications had decreased. The organization with the most publications was the Shenyang Center for Disease Control and Prevention. The cluster analysis of key words mainly formed 9 cluster tags, and the high-frequency keywords mainly included epidemic characteristics, epidemiology, incidence rate, etc. A total of 84 English literature were included in the WOS database, with an overall upward trend in publication volume. The institution with the most publications was the China Center for Disease Control and Prevention, and the most frequently cited journal was ^“LANCET INFECT DIS^”.《Resurgence of scarlet fever in China: a 13-year population-based surveillance study》 was the most cited journal. After keyword cluster analysis, 9 cluster labels were mainly formed, and the keywords were mainly outbreak，Hong Kong, and Group A streptococcus. Conclusion Compared with the English literature, which mainly focuses on spatiotemporal aggregation, etiology and strain resistance, Chinese literature focuses more on epidemic surveillance, clinical features and quality nursing.