Diagnosis-related groups (DRG) payment is an important component of deepening the reform of medical insurance payment methods. In June 2023, a tertiary hospital launched an intelligent DRG grouping audit system to enhance grouping accuracy. By establishing a multi departmental collaborative organizational structure, building a standardized knowledge base and a rule base covering five categories (diagnosis, fees, testing, nursing, and pathology), and integrating electronic medical records, medical orders, testing, and imaging data throughout the entire diagnosis and treatment process, the intelligent DRG grouping audit system with data collection, identification, extraction, comparison, and output modules was constructed to achieve intelligent audit. At the same time, it was formed a closed-loop management system for pre reporting quality control, in-process group entry control, and post data analysis and assessment, which would prevent the risk of differentiated behaviors such as high coding and high sets, and ensure the reasonable use of medical insurance funds. By January 2024, the system had covered 89 ADRG groups, and improved the efficiency and quality of DRG grouping audit. Compared with February to May 2023, the monthly average rejection rate of medical records on the first page decreased by 9.4% after the system was put into operation (June to December 2023), and core medical indicators such as the number of DRG groups, medical insurance settlement cases, and time consumption index continued to improve. The practical experience could provide reference and inspiration for other hospitals in China.

Objective To evaluate the diagnostic performance of the minimum-cost-path-based CT angiography-derived fractional flow reserve(MCP-FFR)and the deep learning-driven CT angiography-derived fractional flow reserve(DeepCL-FFR),and to particularly explore the potential value of the DeepCL algorithm in improving diagnostic accuracy within the"gray zone."Methods A retrospective analysis was conducted on 151 coronary vessels from 109 patients with coronary artery disease,who were hospitalized at the General Hospital of the People's Liberation Army between January 2020 and June 2021.Pearson correlation and Bland-Altman plots were employed to assess the correlation and agreement of the two CT-FFR methods with invasive FFR.A CT-FFR range of 0.70-0.80 was defined as the diagnostic"gray zone."The accuracy,sensitivity,specificity,positive predictive value,and negative predictive value for detecting hemodynamic abnormalities were calculated and analyzed.The DeLong test was used to compare the areas under the receiver operating characteristic curves(AUC)between the two CT-FFR calculation methods.Results Both CT-FFR methods exhibited a positive correlation with invasive FFR(MCP-FFR:r=0.75,P＜0.001;DeepCL-FFR:r=0.86,P＜0.001)and showed good agreement(MCP-FFR:mean difference=0.010,P=0.351;DeepCL-FFR:mean difference=-0.003,P=0.772).Both DeepCL-FFR(AUC 0.97,95％CI 0.94-0.99)and MCP-FFR(AUC 0.92,95％CI 0.88-0.97)demonstrated favorable diagnostic performance for detecting hemodynamic abnormalities(P=0.122).In the"gray zone"for hemodynamic abnormality,the diagnostic accuracy of MCP-FFR was 68.8％,whereas DeepCL-FFR increased it to 89.7％.DeepCL-FFR also exhibited superior diagnostic performance(AUC 0.89,95％CI 0.73-0.99)within the"gray zone,"which was significantly higher than that of MCP-FFR(AUC 0.71,95％CI 0.54-0.87)(P＜0.001).Conclusions The deep learning-driven coronary centerline extraction algorithm,DeepCL,demonstrates superior diagnostic performance in CT-FFR for detecting hemodynamic abnormalities,particularly by significantly improving diagnostic accuracy in the"gray zone."

Objective:To compare the embryo development potential and clinical outcomes between the patients with and without oocyte degeneration.Methods:This retrospective cohort study included a total of 242 cycles underwent ICSI that cultured in time-lapse incubator from January 2019 to June 2023 at the Reproductive and Genetic Center of Suzhou Municipal Hospital and all 3 119 oocytes were evaluated. Data collection continued to February 5th,2024 until the last birthing of the study. Patients were divided into degenerated group (140 cycles) and control group (102 cycles) according to whether oocyte degenerated after ICSI. Then the embryo developmental potential and clinical outcomes were compared. Furthermore, we also investigated whether embryo morphokinetics could be different between the two groups.Results:Female age, duration of infertility, body mass index, basal follicle sitmulating hormone, basal luteinizing hormone, basal estrogen (E 2), antral follicle count, anti-Müllerian hormone, factors of infertility and source of semen were similar between the two groups ( P>0.05). E 2 on human chorionic gonadotropin triggered day [2 513.00 (1 842.20, 3 638.50) ng/L], number of oocytes retrieved (13.56±4.80) and oocyte maturation rate [84.35% (1 601/1 898)] were significantly higher in degenerated group than those in control group [2 270.50 (1 472.00, 3 044.20) ng/L, P=0.019; 11.97±4.71, P=0.011; 81.08% (990/1 221), P=0.017], while normal fertilization rate [69.33% (1 103/1 591)], day 3 (D3) good-quality embryos [57.85% (634/1 096)], blastocyst formation rate [50.87% (469/922)] and embryo utilized rate [58.30% (643/1 103)] were significantly lower in degenerated group than those in control group [85.56% (847/990), P<0.001; 65.72% (556/846), P<0.001; 61.26% (446/728), P<0.001; 66.12% (560/847), P<0.001] . In addition, the proportion of low cell number (<7) of D3 embryos [33.76% (370/1 096)] and high fragmentation (fragmentation ≥50%, fragmentation 20%-50%) of D3 embryos [10.01% (109/1 089), 18.64% (203/1 089)] in degenerated group were significantly higher than those in control group [27.19% (230/846), P=0.002; 6.06% (51/841), P=0.002; 14.15% (119/841), P=0.009], and so were the incidence of DC1 and CC [5.98% (66/1 103) vs. 2.48% (21/847), P<0.001; 2.45% (27/1 103) vs. 0.94% (8/847), P=0.013]. As regard to the utilized embryos, there were no significant differences in t5, cc2, cc3 and s2 ( P>0.05), but tPNf [22.82(21.13, 24.84) h], t2 [25.37 (23.62, 27.37) h], t3 [35.64 (33.10, 38.03) h] and t4 [36.85 (34.70, 39.52) h] in degenerated group were significantly earlier than those in control group [23.04 (21.76, 25.41) h, P=0.001; 25.91 (24.15, 28.05) h, P=0.001; 36.16 (33.11, 38.81) h, P=0.040; 37.39 (35.11, 40.27) h, P=0.026]. Further more, after the first transfer of fresh or frozen embryos, there were no significant differences in clinical pregnancy rate, implantation rate, early abortion rate, live birth rate, sex ratio, preterm birth rate, low birth weight rate and birth defect rate between the two groups (all P>0.05). ICSI degeneration was not an independent factor of implantation rate, early abortion rate and live birth rate after ICSI treatment, but number of embryos transferred was an independent factor of implantation rate and live birth rate after ICSI treatment ( OR=2.806, 95% CI: 1.179-6.677, P=0.020; OR=2.622, 95% CI: 1.129-6.090, P=0.025). Conclusion:The presence of oocyte degeneration after ICSI may affect the overall developmental potential of its sibling oocytes and may also disturb the morphokinetics of the embyos, however the pregnancy outcomes and neonatal birth outcomes may not be affected if transfer the best embryo in the first fresh or frozen cycle.

Objective The causal relationship between immune cells and hepatocellular carcinoma(HCC)risk was investigated using a two-sample Mendelian randomization method.Methods The datasets including 731 immune cells and HCC were obtained from the GWAS database and Finngen database,respectively.The stability and reliability of Mendelian randomization studies were evaluated by the MR-Egger regression,MR PRESSO,Cochran's Q test,and leave one out test.The inverse variance weighting,MR-Egger,weigh-ted median,simple mode and weighted mode were used to investigate the causal relationship between immune cells and HCC.Results A total of 4 immune cells were found to have a potential causal relationship with HCC,and the results were stable.The CD3+CD39+Treg,CD80+granulocyte and CD4+Treg were protective factors for HCC(OR=0.910,95%CI:0.852-0.972;OR=0.919,95%CI:0.865-0.975;OR=0.924,95%CI:0.873-0.978),while CD45+CD33+HLA-DR+CD14+marrow cells were a risk factor for HCC(OR=1.116,95%CI:1.033-1.204).Conclusion The CD3+CD39+Treg,CD80+granulocytes,and CD4+Treg are negatively associated with the risk of HCC,while CD45+CD33+HLA-DR+CD14+marrow cells are positively associated with the risk of HCC.

Objective:To develop the Puerperal Delivery Trauma Perception Scale and test its reliability and validity.Methods:Based on the theory of unpleasant symptoms and combining literature review, semi-structured interview, and group discussion, an item pool was created. The initial version of the scale was formed through Delphi expert consultation and pre-investigation. A convenience sampling method was used to select 304 puerperal women from seven Grade-A tertiary hospitals in Wuhan for reliability and validity testing of the scale in January and February 2024.Results:The Puerperal Delivery Trauma Perception Scale includes seven dimensions and 34 items. The Cronbach's α coefficient of the scale was 0.929, the split-half reliability was 0.874, and the test-retest reliability was 0.932. Exploratory factor analysis extracted seven common factors, with a cumulative variance contribution rate of 71.221%.Conclusions:The Puerperal Delivery Trauma Perception Scale has good reliability and validity and can be used to assess the trauma perception of puerperal women in China.

Objective To evaluate the diagnostic performance of the minimum-cost-path-based CT angiography-derived fractional flow reserve(MCP-FFR)and the deep learning-driven CT angiography-derived fractional flow reserve(DeepCL-FFR),and to particularly explore the potential value of the DeepCL algorithm in improving diagnostic accuracy within the"gray zone."Methods A retrospective analysis was conducted on 151 coronary vessels from 109 patients with coronary artery disease,who were hospitalized at the General Hospital of the People's Liberation Army between January 2020 and June 2021.Pearson correlation and Bland-Altman plots were employed to assess the correlation and agreement of the two CT-FFR methods with invasive FFR.A CT-FFR range of 0.70-0.80 was defined as the diagnostic"gray zone."The accuracy,sensitivity,specificity,positive predictive value,and negative predictive value for detecting hemodynamic abnormalities were calculated and analyzed.The DeLong test was used to compare the areas under the receiver operating characteristic curves(AUC)between the two CT-FFR calculation methods.Results Both CT-FFR methods exhibited a positive correlation with invasive FFR(MCP-FFR:r=0.75,P＜0.001;DeepCL-FFR:r=0.86,P＜0.001)and showed good agreement(MCP-FFR:mean difference=0.010,P=0.351;DeepCL-FFR:mean difference=-0.003,P=0.772).Both DeepCL-FFR(AUC 0.97,95％CI 0.94-0.99)and MCP-FFR(AUC 0.92,95％CI 0.88-0.97)demonstrated favorable diagnostic performance for detecting hemodynamic abnormalities(P=0.122).In the"gray zone"for hemodynamic abnormality,the diagnostic accuracy of MCP-FFR was 68.8％,whereas DeepCL-FFR increased it to 89.7％.DeepCL-FFR also exhibited superior diagnostic performance(AUC 0.89,95％CI 0.73-0.99)within the"gray zone,"which was significantly higher than that of MCP-FFR(AUC 0.71,95％CI 0.54-0.87)(P＜0.001).Conclusions The deep learning-driven coronary centerline extraction algorithm,DeepCL,demonstrates superior diagnostic performance in CT-FFR for detecting hemodynamic abnormalities,particularly by significantly improving diagnostic accuracy in the"gray zone."

Diagnosis-related groups (DRG) payment is an important component of deepening the reform of medical insurance payment methods. In June 2023, a tertiary hospital launched an intelligent DRG grouping audit system to enhance grouping accuracy. By establishing a multi departmental collaborative organizational structure, building a standardized knowledge base and a rule base covering five categories (diagnosis, fees, testing, nursing, and pathology), and integrating electronic medical records, medical orders, testing, and imaging data throughout the entire diagnosis and treatment process, the intelligent DRG grouping audit system with data collection, identification, extraction, comparison, and output modules was constructed to achieve intelligent audit. At the same time, it was formed a closed-loop management system for pre reporting quality control, in-process group entry control, and post data analysis and assessment, which would prevent the risk of differentiated behaviors such as high coding and high sets, and ensure the reasonable use of medical insurance funds. By January 2024, the system had covered 89 ADRG groups, and improved the efficiency and quality of DRG grouping audit. Compared with February to May 2023, the monthly average rejection rate of medical records on the first page decreased by 9.4% after the system was put into operation (June to December 2023), and core medical indicators such as the number of DRG groups, medical insurance settlement cases, and time consumption index continued to improve. The practical experience could provide reference and inspiration for other hospitals in China.

Objective To explore the trajectory of psychological symptom clusters in pregnant women with assisted reproductive technology(ART),and analyze the influencing factors of each trajectory subgroups,in order to provide a theoretical basis for the management of psychological health during pregnancy in pregnant women with ART.Methods A total of 205 pregnant women who had conceived using ART were sampled from the obstetrics clinic of a tertiary hospital in Nanjing from August 2023 to April 2024 using a convenient sampling method.The baseline data were assessed by general information questionnaire,Symptom Checklist-90,Distress Disclosure Index and Positive Psychological Capital Questionnaire at 10-14 weeks gestation,and the follow-up information was assessed by Symptom Checklist-90 at 22-26 weeks of gestation and 34-38 weeks of gestation.Exploratory factor analysis was used to extract symptom clusters;the latent class growth mixture model was used to identify the track categories;the multiple logistic regression analysis was used to analyze the influencing factors of the track.Results 180 cases were finally included.By exploratory factor analysis,5,4 and 5 factors were extracted at 3 time points respectively.Trajectories of psychological symptom clusters in pregnant women with ART is divided into 3 potential classes:low level-slow relieving group(28.89％),high level-significant increasing group(6.11％),medium level-slow increasing group(65.00％).Logistic regression analyses showed that duration of infertility,number of ART,literacy,pain self-expression and positive psychological capital were influential factors in the potential categories of psychological symptom clusters in pregnant women conceived with ART(all P＜0.05).Conclusion The trajectory of psychological symptom clusters in pregnant women with ART was divided into 3 potential classes.Medical workers could develop corresponding interventions based on the influencing factors and implement comprehensive and efficient symptom management.

Objective:To develop the Puerperal Delivery Trauma Perception Scale and test its reliability and validity.Methods:Based on the theory of unpleasant symptoms and combining literature review, semi-structured interview, and group discussion, an item pool was created. The initial version of the scale was formed through Delphi expert consultation and pre-investigation. A convenience sampling method was used to select 304 puerperal women from seven Grade-A tertiary hospitals in Wuhan for reliability and validity testing of the scale in January and February 2024.Results:The Puerperal Delivery Trauma Perception Scale includes seven dimensions and 34 items. The Cronbach's α coefficient of the scale was 0.929, the split-half reliability was 0.874, and the test-retest reliability was 0.932. Exploratory factor analysis extracted seven common factors, with a cumulative variance contribution rate of 71.221%.Conclusions:The Puerperal Delivery Trauma Perception Scale has good reliability and validity and can be used to assess the trauma perception of puerperal women in China.

BACKGROUND:Carboxylesterase 1 and inflammatory factors play a crucial role in regulating lipid metabolism and glucose homeostasis.However,the effects of different exercise intensity interventions on carboxylesterase 1 and inflammatory factors in skeletal muscle of type 2 diabetic rats remain to be revealed. OBJECTIVE:To investigate the effects of different exercise intensity interventions on carboxylesterase 1 and inflammatory factors in skeletal muscle of type 2 diabetic rats. METHODS:Thirty-two 8-week-old male Sprague-Dawley rats were randomly divided into normal control group(n=12)and modeling group(n=20)after 1 week of adaptive feeding.Rat models of type 2 diabetes mellitus were prepared by high-fat diet and single injection of streptozotocin.After successful modeling,the rats were randomly divided into diabetic control group(n=6),moderate-intensity exercise group(n=6)and high-intensity intermittent exercise group(n=6).The latter two groups were subjected to treadmill training at corresponding intensities,once a day,50 minutes each,and 5 days per week.Exercise intervention in each group was carried out for 6 weeks.After the intervention,ELISA was used to detect blood glucose and blood lipids of rats.The morphological changes of skeletal muscle were observed by hematoxylin-eosin staining.The mRNA expression levels of carboxylesterase 1 and inflammatory cytokines were detected by real-time quantitative PCR.The protein expression levels of carboxylesterase 1 and inflammatory cytokines were detected by western blot and immunofluorescence. RESULTS AND CONCLUSION:Compared with the normal control group,fasting blood glucose,triglyceride,low-density lipoprotein cholesterol,insulin resistance index in the diabetic control group were significantly increased(P<0.01),insulin activity was decreased(P<0.05),and the mRNA and protein levels of carboxylesterase 1,never in mitosis gene A related kinase 7(NEK7)and interleukin 18 in skeletal muscle tissue were upregulated(P<0.05).Compared with the diabetic control group,fasting blood glucose,triglyceride,low-density lipoprotein cholesterol,and insulin resistance index in the moderate-intensity exercise group and high-intensity intermittent exercise group were down-regulated(P<0.05),and insulin activity was increased(P<0.05).Moreover,compared with the diabetic control group,the mRNA level of NEK7 and the protein levels of carboxylesterase 1,NEK7 and interleukin 18 in skeletal muscle were decreased in the moderate-intensity exercise group(P<0.05),while the mRNA levels of carboxylesterase 1,NEK7,NOD-like receptor heat protein domain associated protein 3 and interleukin 18 and the protein levels of carboxylesterase 1 and interleukin 18 in skeletal muscle were downregulated in the high-intensity intermittent exercise group(P<0.05).Hematoxylin-eosin staining showed that compared with the diabetic control group,the cavities of myofibers in the moderate-intensity exercise group became smaller,the number of internal cavities was reduced,and the cellular structure tended to be more intact;the myocytes of rats in the high-intensity intermittent exercise group were loosely arranged,with irregular tissue shape and increased cavities in myofibers.To conclude,both moderate-intensity exercise and high-intensity intermittent exercise can reduce blood glucose,lipid,insulin resistance and carboxylesterase 1 levels in type 2 diabetic rats.Moderate-intensity exercise can significantly reduce the expression level of NEK7 protein in skeletal muscle,while high-intensity intermittent exercise can significantly reduce the expression level of interleukin 18 protein in skeletal muscle.In addition,the level of carboxylesterase 1 is closely related to the levels of NEK7 and interleukin 18.