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 study the clinical effect of moxibustion at Shenque acupoint assisted with uterine contraction drugs on uterine inertia postpartum hemorrhage. Methods The patients with uterine inertia postpartum hemorrhage treated in our hospital from July 7, 2016 to July 8, 2017 were selected as the study subjects. The 80 patients were randomLy divided into two groups: with 40 cases in each group. The patients who underwent routine western medicine treatment were included in the control group, and the patients were treated with moxibustion at Shenque acupoint assisted with uterine contraction drugs were selected as the observation group. The treatment effect, bleeding and blood indicators between two groups of uterine inertia postpartum hemorrhage were compared. Results The postpartum 2 h bleeding amount and postpartum 24h bleeding amount in the uterine inertia postpartum hemorrhage patients in the observation group was less than that in the control group (P＜0. 05). The total clinical effective rate and the red blood cell count, hematocrit and hemoglobin after treatment in the obwervation group was higher than that of the control group(P＜0. 05). Conclusion Moxibustion at Shenque acupoint combined with uterine contraction drugs in the treatment of uterine inertia postpartum hemorrhage has a good hemostatic effect.

Intensifying the continuing education of doctors in hospitals at primary level is one of the important measures for increasing their specialized skills and improving the condition of primary care.In recent years,following the trend of national medical reform,the Fourth Military Medical University (FMMU) has made full use of its advantages to provide training for civilian doctors in hospitals at primary level.In the training,with the reform measures of ‘ four focuses' and ‘ five combinations',FMMU actively advanced teaching reform to make innovations in curriculum system and teaching methods,which was approved by teachers and students.These measures were very effective,which in turn greatly enhanced the ability of the doctors and training quality.This practice obviously pushed forward development of primary-level medical and health-care service in Shanxi province.

Objective To investigate the variation of procalcitonin(PCT) in blood and tissue level of acute pancreatitis rats and probe its significant. Methods One hundred and two male Wistar rats were randomly divided into control group ( n = 6 ), lipopolysaccharide group ( LPS, n = 24 ), acute edematous pancreatitis (AEP) group ( n = 24), acute necrotizing pancreatitis (ANP) group ( n = 24), AN P + LPS group ( n = 24). Subcutaneous injection of cerulein was used for AEP induction, while ANP model was induced by retrograde injection of sodium taurocholate into the biliary and pancreatic duct. The rats were sacrificed at 3,6, 18 and 24 hours after model induction. Pancreatic tissue was harvested and the pathological scores were assessed. Levels of PCT in serum, liver, lung, spleen, pancreas, small intestine, large intestine tissue was harvested and tissue levels of PCT were determined. Results AEP and ANP models were established successfully. At 6 h, the serum levels of PCT in control group, LPS group, AEP group, ANP group and ANP +LPS group were (0.0144 ±0.0082) ng/ml, (0. 1722 ±0.0449) ng/ml,(0.4751 ±0.0572) ng/ml, (0.7070 ±0. 1040) ng/ml and ( 1. 1960 ±0.8644) ng/ml, respectively; and the difference was statistically significant (P < 0.05 ). PCT could be detected in liver, lung, spleen, pancreas, small intestine and large intestine tissue of normal rats. PCT levels in liver and pancreas of ANP group were not statistically different, but the PCT levels in lung, spleen, and large intestine tissue significantly decreased, and the corresponding values were (5.63 ±0.62) ng/ml vs. (6.85 ±0.46) mg/ml, (4.73 ±1.27) mg/ml vs. (6.88 ±0.37) ng/ml, (1.08 ±0.52) ng/ml vs. (4.12 ± 1.02) ng/ml (P <0.01 ). However, the PCT levels in small intestine significantly increased, which were (2.51 ±0.90) ng/ml vs (0.98 ±0. 12) ng/ml (P<0. 01). Conclusions Serum PCT level was associated with the severity of AP and infection; the changes of PCT levels in different tissues may be related with the changes of organ's function.