Objective:To assess the application value of one-hour post-load glucose (1hPG) for detecting prediabetes among individuals with high risk of type 2 diabetes mellitus (T2DM).Methods:The study was conducted between August 2023 and January 2024, and individuals with a high risk of T2DM were invited to receive an oral glucose tolerance test (OGTT), structural questionnaires, physical measurements, and other biochemical examinations. The fasting, one-, and two-hour glucose and insulin were tested. According to the 1hPG cut point on hyperglycemia suggested by International Diabetes Federation (IDF), normal glucose tolerance (NGT) and prediabetes were further divided into two subgroups, respectively, i.e., NGT with 1hPG<8.6 mmol/L (NGT-1hPG-normal), NGT with 1hPG≥8.6 mmol/L (NGT-1hPG-high), prediabetes with 1hPG<8.6 mmol/L (PDM-1hPG-normal), and prediabetes with 1hPG≥8.6 mmol/L (PDM-1hPG-high). The insulin release curve was drawn by the groups as above. Insulin resistance was evaluated by homeostasis model assessment for insulin resistance (HOMA-IR), and β-cell secretory function was evaluated by homeostasis model assessment for β cell function (HOMA-β)/HOMA-IR. Spearman rank correlation analysis was used to calculate the correlation coefficients among 1hPG, 2hPG and HOMA indices, and Steiger′s Z test was used to compare the difference between two correlation coefficients. Receiver operating characteristics (ROC) curves and area under the curve (AUC) were used to assess the accuracy of 1hPG for detecting prediabetes. Results:A total of 2 469 subjects consisting of 1 485 men (60.1%) and 984 (39.9%) women, with a mean age of (45.76±6.20) years, of which 1 844 (74.7%) had 1hPG≥8.6 mmol/L. The prevalence of 1hPG≥8.6 mmol/L was 46.8%, 93.0% and 99.8% in individuals with NGT, prediabetes and newly diagnosed T2DM, respectively ( χ 2=763.78, P<0.001). The insulin release curve showed that insulin secretion increased rapidly in subjects with NGT-1hPG-high, and peaked at one hour, then decreased rapidly, with a significantly higher level of one- and two-hour insulin than those with NGT-1hPG-normal ( P<0.001). Compared to individuals with NGT-1hPG-normal, the counterparts with NGT-1hPG-high exhibited higher HOMA-IR and lower adjusted HOMA-β ( P<0.001). Spearman rank correlation analysis showed that the correlation coefficient of 1hPG with HOMA-IR was similar to the correlation coefficient of 2hPG with HOMA-IR (0.493 vs. 0.480, P=0.550), while the correlation of 1hPG with adjusted HOMA-β was significantly stronger than that of 2hPG (-0.692 vs. -0.587, P<0.001). Excluding patients with T2DM, according to the cut point recommended by IDF, the AUC of 1hPG≥8.6 mmol/L for detecting prediabetes was 0.731 (95% CI: 0.714-0.748), and the sensitivity and specificity were 0.930 and 0.532, respectively, with the kappa value of 0.45. Conclusion:1hPG is closely related to insulin resistance and islet function, and there′s substantial value for individuals with a high risk of T2DM to detect prediabetes by using the 1hPG cut points recommended by IDF.

Objective To explore the influencing factors of the construction of public hospital management accounting system,and to construct artificial intelligence models for predictive research,and to achieve software transformation in the later stage for automated evaluation of management accounting in different hospitals.Methods The indicators of management account-ing system were improved through literature analysis and Delphi method,and quantitative scoring standards were established.The automatic prediction of system indicators was realized by building an artificial intelligence model,and the effect of the model was evaluated.The way of software transformation was discussed.Results The coordination coefficient of Kendal in the two rounds of Delphi method questionnaires reached the requirements(P＜0.05),and 6 primary indicators and 23 secondary impact indica-tors were determined.The artificial intelligence model is well modeled,and the area under the Receiver operating characteristic is 0.959,P＜0.001,with high accuracy.Conclusion The index system can provide reference for the monitoring of the daily work of management accounting in public hospitals.Through the establishment of artificial intelligence model,it can be used to evaluate the construction level of management accounting system in different hospitals and provide artificial intelligence automation support.

Objective:To assess the application value of one-hour post-load glucose (1hPG) for detecting prediabetes among individuals with high risk of type 2 diabetes mellitus (T2DM).Methods:The study was conducted between August 2023 and January 2024, and individuals with a high risk of T2DM were invited to receive an oral glucose tolerance test (OGTT), structural questionnaires, physical measurements, and other biochemical examinations. The fasting, one-, and two-hour glucose and insulin were tested. According to the 1hPG cut point on hyperglycemia suggested by International Diabetes Federation (IDF), normal glucose tolerance (NGT) and prediabetes were further divided into two subgroups, respectively, i.e., NGT with 1hPG<8.6 mmol/L (NGT-1hPG-normal), NGT with 1hPG≥8.6 mmol/L (NGT-1hPG-high), prediabetes with 1hPG<8.6 mmol/L (PDM-1hPG-normal), and prediabetes with 1hPG≥8.6 mmol/L (PDM-1hPG-high). The insulin release curve was drawn by the groups as above. Insulin resistance was evaluated by homeostasis model assessment for insulin resistance (HOMA-IR), and β-cell secretory function was evaluated by homeostasis model assessment for β cell function (HOMA-β)/HOMA-IR. Spearman rank correlation analysis was used to calculate the correlation coefficients among 1hPG, 2hPG and HOMA indices, and Steiger′s Z test was used to compare the difference between two correlation coefficients. Receiver operating characteristics (ROC) curves and area under the curve (AUC) were used to assess the accuracy of 1hPG for detecting prediabetes. Results:A total of 2 469 subjects consisting of 1 485 men (60.1%) and 984 (39.9%) women, with a mean age of (45.76±6.20) years, of which 1 844 (74.7%) had 1hPG≥8.6 mmol/L. The prevalence of 1hPG≥8.6 mmol/L was 46.8%, 93.0% and 99.8% in individuals with NGT, prediabetes and newly diagnosed T2DM, respectively ( χ 2=763.78, P<0.001). The insulin release curve showed that insulin secretion increased rapidly in subjects with NGT-1hPG-high, and peaked at one hour, then decreased rapidly, with a significantly higher level of one- and two-hour insulin than those with NGT-1hPG-normal ( P<0.001). Compared to individuals with NGT-1hPG-normal, the counterparts with NGT-1hPG-high exhibited higher HOMA-IR and lower adjusted HOMA-β ( P<0.001). Spearman rank correlation analysis showed that the correlation coefficient of 1hPG with HOMA-IR was similar to the correlation coefficient of 2hPG with HOMA-IR (0.493 vs. 0.480, P=0.550), while the correlation of 1hPG with adjusted HOMA-β was significantly stronger than that of 2hPG (-0.692 vs. -0.587, P<0.001). Excluding patients with T2DM, according to the cut point recommended by IDF, the AUC of 1hPG≥8.6 mmol/L for detecting prediabetes was 0.731 (95% CI: 0.714-0.748), and the sensitivity and specificity were 0.930 and 0.532, respectively, with the kappa value of 0.45. Conclusion:1hPG is closely related to insulin resistance and islet function, and there′s substantial value for individuals with a high risk of T2DM to detect prediabetes by using the 1hPG cut points recommended by IDF.

Objective To explore the influencing factors of the construction of public hospital management accounting system,and to construct artificial intelligence models for predictive research,and to achieve software transformation in the later stage for automated evaluation of management accounting in different hospitals.Methods The indicators of management account-ing system were improved through literature analysis and Delphi method,and quantitative scoring standards were established.The automatic prediction of system indicators was realized by building an artificial intelligence model,and the effect of the model was evaluated.The way of software transformation was discussed.Results The coordination coefficient of Kendal in the two rounds of Delphi method questionnaires reached the requirements(P＜0.05),and 6 primary indicators and 23 secondary impact indica-tors were determined.The artificial intelligence model is well modeled,and the area under the Receiver operating characteristic is 0.959,P＜0.001,with high accuracy.Conclusion The index system can provide reference for the monitoring of the daily work of management accounting in public hospitals.Through the establishment of artificial intelligence model,it can be used to evaluate the construction level of management accounting system in different hospitals and provide artificial intelligence automation support.

Objective:To investigate the association between body mass index (BMI) and the risk of chronic obstructive pulmonary disease (COPD).Methods:This study employed a single-center, cross-sectional design combined with online Mendelian randomization (MR) analysis. A total of 16 187 pieces of lung function data for COPD screening from the “Happy Breathing” project in the Jingzhou area between September 2021 and October 2023 were initially collected. Cases with missing questionnaire information, failed quality control, or isolated restrictive or small airway dysfunction were excluded, resulting in a final dataset of 3 999 cases, comprising 2 330 non-COPD and 1 669 COPD cases. Binary COPD status was set as the outcome variable, with BMI as the exposure variable. A smooth curve plot was used to depict the relationship between BMI and COPD prevalence; if non-linearity was observed, a two-piece linear regression model was employed to calculate threshold effects, adjusting for potential confounders such as age, sex, smoking history, biomass fuel exposure, and COPD awareness. Subsequently, online genome-wide association study (GWAS) data were utilized for MR analysis to explore any potential causal link between high BMI and COPD development.Results:Analysis of the “Happy Breathing” COPD screening data from the Jingzhou area revealed a nonlinear relationship between BMI and COPD risk. For BMI values <23.7 kg/m2, each 1 kg/m2 increase in BMI was associated with an 18% decrease in COPD risk ( OR=0.82, 95% CI: 0.79-0.85). However, for BMI >23.7 kg/m2, no significant association was found between increasing BMI and COPD risk ( OR=1.00, 95% CI: 0.96-1.05). MR analysis using online GWAS data suggested no potential causal relationship between high BMI and COPD occurrence, with both heterogeneity and pleiotropy tests yielding P>0.05. Conclusion:There may be a nonlinear relationship between BMI and the risk of COPD, with no apparent association between BMI and COPD risk for values above 23.7 kg/m2.

Objective:To evaluate the outcome of the patients receiving dispatcher-assisted cardiopulmonary resuscitation (DA-CPR) delivered by first-responders who witnessed the out-of-hospital cardiac arrest (OHCA) before the Emergency Medical Service (EMS) arrived.Methods:We performed a search of the relevant literature exploring major scientific databases. We assessed the quality of the included cohort study according to the Cochrane Handbook for Systematic Reviews of Interventions Version 5.1.0. Meta-analysis was performed on three outcome indicators (recovery of spontaneous circulation survival to hospital discharge and survival with favourable neurologic outcome) using the Revman5.3 software.Results:A total of 21 studies with 349 822 patients were selected for the meta-analysis, including 182 125 patients in the DA-CPR group and 167 697 in the CPR-only group. The meta-analysis showed no significant difference between the DA-CPR and CPR-only groups in ROSC [ RR=1.10, 95% confidence interval ( CI): 0.94-1.29, P=0.24], survival to hospital discharge ( RR=1.10, 95% CI: 0.90-1.34, P=0.34) and survival with favourable neurologic outcome ( RR=1.01, 95% CI: 0.79-1.28, P=0.97) of the patients in America, Japan and Korea. However, there was a significant difference between the DA-CPR and the CPR-only groups in ROSC ( RR=2.61, 95% CI:1.53-4.46, P=0.0005), survival to hospital discharge( RR=6.08, 95% CI: 1.84-20.04, P=0.003), and survival with favourable neurologic outcome( RR=9.76, 95% CI: 1.87-51.02, P=0.007) of the patients in China. Conclusions:The overall effect of DA-CPR is significantly different for each country. In detail, DA-CPR offers a survival advantage (Return of spontaneous circulation, survival to hospital discharge and survival with favourable neurologic outcome) over CPR alone in China but no advantage in developed countries.

Ankylosing spondylitis (AS) is a chronic inflammatory disease characterized by inflammation of the sacroiliac joints and the spinal attachment point and is the most common type of spondyloarthritis (SpA). The pathogenesis of AS is related to both the immune system and the skeletal system. The main pathological changes include enthesitis, osteogenesis changes, osteolytic bone destruction, and immune system changes. Bone cells interact with immune cells, secrete a series of inflammatory factors, and jointly regulate the pathogenesis of AS. The imbalance of various immune cells in AS and the changes in inflammatory cytokines lead to a disorder of bone metabolism. At the same time, the osteocytes express various inflammatory cytokines, which leads to an imbalance of the immune system. The interaction between the immune system and the skeletal system has become a hot spot in the pathogenesis of AS. Understanding the bone immunological mechanism of AS will help to understand the exact pathogenesis of the disease and explore new treatment methods for it. In this review, the changes of various immune cells and inflammatory cytokines in AS and their effects on the skeletal system, as well as the changes of various osteocytes in the skeletal system and their effects on the immune system, were reviewed, and the latest progress in the treatment of AS was summarized.

Objective:To evaluate the effect of mechanical chest compression device in patients with cardiac arrest.Methods:The relevant literatures about mechanical cardiopulmonary resuscitation and manual cardiopulmonary resuscitation were systematically searched from China Knowledge Network (CNKI), VIP, Wanfang, PubMed, Web of Science and other databases. The effective data were extracted and analyzed by RevMan5.3 software.Results:A total of 20 clinical studies involving 29 727 patients were included, of which 11 104 patients received mechanical cardiopulmonary resuscitation and 18 623 patients received traditional manual cardiopulmonary resuscitation. The results of meta-analysis showed that mechanical cardiopulmonary resuscitation could not effectively improve the restoration of spontaneous circulation (ROSC) rate, admission survival rate, discharge survival rate and neurological prognosis in patients with cardiac arrest compared with manual cardiopulmonary resuscitation. ROSC occurrence rate ( RR=1.10, 95% CI: 0.99-1.23, P<0.01), admission survival rate ( RR=1.01, 95% CI: 0.95-1.08, P=0.67), discharge survival rate ( RR=1.00, 95% CI: 0.86-1.15, P=0.14), and good neurological function rate ( RR=0.81, 95% CI: 0.61-1.06, P=0.69) showed no significant differences between the mechanical cardiopulmonary resuscitation and manual cardiopulmonary resuscitation. Conclusions:Mechanical chest compression device has no advantage compared with manual cardiopulmonary resuscitation. Mechanical cardiopulmonary resuscitation is not recommended to completely replace manual chest compression in cardiopulmonary resuscitation.

Objective:To explore the effects and molecular mechanism of circ_001598 on biological behavior of breast cancer (BC) cells.Methods:Sevoflurane in different concentrations were used to treat BC cells and the cell activity and apoptosis were detected. qRT-PCR was used to determine the relative expression of Circ_001598 and miR-588 in BC tissue and cells. The effects of Sevoflurane on Circ_001598, miR-588 expression was detected. Dual luciferase reporter gene assay was used to detect the relationship between Circ_001598 and miR-588. The expression of Circ_001598, miR-588 in BC cells was intervened, then cell activity and apoptosis level was detected by using MTT and flow cytometry individually.Results:Sevoflurane inhibited cell activity of BC cells, and promoted cell apoptosis. Circ_001598 was increased in BC tissue and cells, but Sevoflurane could down-regulate the expression of Circ_001598 (all P<0.05) . Overexpression of Circ_001589 partially saved the effects of Sevoflurane on cell viability and apoptosis. Circ_001598 negatively regulated miR-588 in BC cells. miR-588 expression was down-regulated in BC tissue and cells, but Sevoflurane up-regulated the expression level of miR-588 in BC cells (all P<0.05) . miR-588 transfection partially offseted the effects of Circ_001598 on Sevoflurane induced BC cells apoptosis. Conclusion:Sevoflurane affects BC cell viability and apoptosis via regulating Circ_001589/miR-588.

Objective To explore the prenatal ultrasound image features and clinical significance of fetal ductus venosus abormalities . Methods Fifteen fetuses with ductus venosus abormalities diagnosed by prenatal ultrasonography at Peking University T hird Hospital were retrospective review . T he prenatal findings ,umbilical shunting type ,perinatal outcomes ,and autopsy reports were analyzed . Results Fourteen fetuses were found with absence of ductus venosus . In 6 fetuses the umbilical vein connected to the portal vein ,5 fetuses the umbilical vein connected to the inferior vena cava and 3 fetuses the umbilical vein connected to the right atrium . T he remaining 1 fetus was found obliteration of ductus venosus . Absence of ductus venous showed no normal ductus venous and the umbilical vein almost always drained directly into portal vein ,inferior vena cava or right atrium . Obliteration of ductus venous showed normal ductus venous was replaced by a tiny echogenic string without blood flow . T hree cases had intracardiac and extracardiac abnormalities ; 4 cases had extracardiac abnormalities only ; 8 of these ,ductus venosus abormality were isolated . T wo cases had trisomy 21 syndrome . Four patients underwent legal termination of pregnancy ; 2 were intrauterine fetal death ; and 8 carried to term wit normal outcome ; the remaining one underwent operation due to extracardiac abnormality and postoperative course was uneventful . Conclusions Prenatal ultrasound can be used to diagnose fetal ductus venosus abormalities . Hemodynamic depends on umbilical venous drainage site and diameter . T he prognosis for this group of anomalies depends on the chromosomal abnormalities and additional findings . Chromosome and ultrasonic monitoring are suggested for following pregnancy .