摘要 目的 探讨血浆神经胶质细胞原纤维酸性蛋白（GFAP）及同型半胱氨酸（Hcy）水平对肝豆状核变性（又称肝豆状核变性，WD）的诊断及肝脑型鉴别诊断价值。方法 招募安徽中医药大学第一附属医院脑病中心2023年1月—2025年1月收治的WD患者共120例，其中WD脑型63例，WD肝型57例，以及同期在体检中心筛查的30名健康志愿者。采用ELISA法测定纳入对象血浆GFAP、Hcy水平，进行组间差异性比较和ROC曲线分析。并运用Spearman相关分析探讨血浆GFAP、Hcy水平与统一肝豆状核变性评定量表评分（UWDRS）、24 h尿铜及血清铜蓝蛋白（CER）水平的相关性。结果 WD肝型及脑型患者的血浆GFAP水平均显著高于对照组（P<0.05），且WD脑型较WD肝型升高更为显著（P<0.05）。血浆Hcy水平也在WD肝型及脑型患者中明显升高（P<0.05），但在WD肝型、脑型间未表现出显著差异。血浆GFAP诊断WD脑型的曲线下面积（AUC）为0.861，截断值为135.71 pg/ml，敏感度68.3％，特异度82.3％；该指标诊断WD肝型的AUC为0.695，截断值为129.84 pg/ml，敏感度64.7％，特异度83.3％；其在WD肝型及脑型鉴别诊断中的AUC为0.75，截断值为151.12 pg/ml，敏感度73.9％，特异度87.8％。血浆Hcy诊断WD的AUC为0.788，截断值为15.59 μmol/L，敏感性77.9％，特异性66.7％。Spearman相关性分析结果显示，WD肝型及脑型患者血浆GFAP、Hcy水平与UWDRS评分及24 h尿铜水平均呈正相关（P<0.05），与CER水平无显著相关性（P>0.05）。结论 血浆GFAP、Hcy水平与WD神经及肝脏功能受损程度密切相关，且为早期诊断WD以及血浆GFAP对WD各分型的鉴别诊断提供了一定的临床价值。 Abstract Objective To investigate the value of plasma glial fibrillary acidic protein （GFAP） and homocysteine （Hcy） in the diagnosis of hepatolenticular degeneration （also know as Wilson disease， WD） and the differential diagnosis of the hepatic and neurological forms of WD. Methods A total of 120 WD patients who were admitted to Encephalopathy Center of our hospital from January 2023 to January 2025 were enrolled， among whom there were 63 patients with neurological WD and 57 patients with hepatic WD， and 30 healthy volunteers who underwent physical examination during the same period of time were enrolled as control group. ELISA was used to measure the plasma levels of GFAP and Hcy， and the differences between groups were analyzed. The receiver operating characteristic（ROC） curve analysis was performed， and the Spearman correlation analysis was used to investigate the correlation of the plasma levels of GFAP and Hcy with Unified Wilson Disease Rating Scale （UWDRS） score， 24-hour urinary copper， and the serum level of ceruloplasmin （CER）. Results The patients with hepatic or neurological WD had a significantly higher plasma level of GFAP than the control group（P<0.05）， and the patients with neurological WD had a significantly greater increase than those with hepatic WD（P<0.05）. The patients with hepatic or neurological WD also had a significant increase in the plasma level of Hcy（P<0.05）， but with no significant difference between the patients with hepatic WD and those with neurological WD.Plasma GFAP had an area under the ROC curve（AUC） of 0.861 in the diagnosis of neurological WD， with a cut-off value of 135.71 pg/ml， a sensitivity of 68.3%，and a specificity of 82.3%；plasma GFAP had an AUC of 0.695 in the diagnosis of hepatic WD， with a cut-off value of 129.84 pg/ml， a sensitivity of 64.7%， and a specificity of 83.3%； in the differential diagnosis of hepatic and neurological WD， plasma GFAP had an AUC of 0.75， with a cut-off value of 151.12 pg/ml，a sensitivity of 73.9%， and a specificity of 87.8%. Plasma Hcy had an AUC of 0.788 in the diagnosis of WD， with a cut-off value of 15.59 μmol/L， sensitivity of 77.9%， and specificity of 66.7%. The Spearman correlation analysis showed that in the patients with hepatic or neurological WD， the plasma levels of GFAP and Hcy were positively correlated with UWDRS score and 24-hour urinary copper （P<0.05）， but they were not significantly correlated with the level of CER （P>0.05）. Conclusion The plasma levels of GFAP and Hcy are closely associated with the degree of neurological and hepatic impairment in WD， which provides a certain clinical value for the early diagnosis of WD and the differential diagnosis of hepatic and neurological WD.
Homocysteine

Astragaloside Ⅳ （AS-Ⅳ） is a natural triterpenoid saponin compound derived from Astragalus membranaceus and has shown significant potential in the regulation of liver diseases. This article reviews the latest research advances in AS-Ⅳ in the field of liver diseases in China and globally， and it is found that AS-Ⅳ exerts a liver-protecting effect by regulating lipid metabolism， exerting an anti-tumor/anti-inflammatory/anti-fibrotic effect， and modulating gut microbiota. Its mechanism of action involves multiple signaling pathways， such as AMPK， NLRP3， NF-κB， JAK2/STAT3， and Nrf2. These research findings provide a scientific basis for the development of liver-protecting drugs or functional foods based on the natural product AS-Ⅳ.

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 investigate the adjunctive diagnostic value of retinal imaging structural parameters combined with apolipoprotein E (ApoE) gene polymorphisms for Alzheimer′s disease (AD).Methods:It was a case-control study, 71 confirmed AD patients who attended the Department of Neurology in Sichuan Provincial People′s Hospital from May 2023 to June 2024 and 156 healthy medical checkups who participated in medical checkups in the Health Management Center were continuously with convenience sampling method; the subjects were included as the AD case group and healthy control group, respectively. Optical coherence tomography (OCT) was used to measure the structural parameters of retinal imaging such as the thickness of the retinal nerve fiber layer (RNFL) and the retinal nerve fiber layer-inner plexiform layer (RNFL-IPL) in the study subjects. Information on demographic characteristics and disease history of the study participants were collected through a questionnaire, and venous blood was collected to test for ApoE gene polymorphisms. The retinal imaging structural parameters, ApoE gene polymorphisms and other related indicators were included in a multifactorial logistic regression model to analyze the main factors affecting the risk of AD. Based on the results of the multifactorial analysis, the receiver operating characteristic (ROC) curves were plotted and the areas under the curve (AUC) were calculated to evaluate the efficacy of different models in the adjunctive diagnosis of AD.Results:Of the 227 study subjects included in the analysis, 153 were females and 74 were males; there were 71 cases in the AD case group with a mean age of (66.73±8.83) years, and there were 156 subjects in the healthy control group with an average age of (61.95±8.21) years. Educational attainment of elementary school and below ( OR=4.683, 95% CI: 2.133-10.282), living visual acuity<0.5 ( OR=2.716, 95% CI: 1.12-6.583), and carrying ≥1 ApoE ε4 genes ( OR=5.331, 95% CI: 2.309-11.891) were positively correlated with the risk of AD. RNFL thickening ( OR=0.923, 95% CI: 0.854-0.998) was negatively associated with the risk of AD (all P<0.05). The AD risk assessment model (Model 4), which included fundus imaging features and ApoE gene polymorphisms, had the highest predictive efficacy (AUC=0.857, P<0.001). Conclusion:Retinal imaging structural parameters differ significantly between AD patients and healthy examinees, and a risk assessment model combining retinal imaging structural parameters and ApoE gene polymorphisms has high predictive value and is expected to serve as an auxiliary diagnostic tool for AD.

Background: This study aimed to estimate temporal trends in metabolically unhealthy obesity (MUO) among United States (US) adults by age, sex, race/ethnicity, and income from 1999 to 2018. Methods: We included 17,230 non-pregnant adults from a nationally representative cross-sectional study, the National Health and Nutrition Examination Survey (NHANES). MUO was defined as body mass index ≥30 kg/m2 with any metabolic disorders in blood pressure, blood glucose, and blood lipids. The age-adjusted percentage of MUO was calculated, and linear regression models estimated trends in MUO. Results: The weighted mean age of adults was 47.28 years; 51.02% were male, 74.64% were non-Hispanic White. The age-adjusted percentage of MUO continuously increased in adults across all subgroups during 1999–2018, although with different magnitudes (all P<0.05 for linear trend). Adults aged 45 to 64 years consistently had higher percentages of MUO from 1999–2000 (34.25%; 95% confidence interval [CI], 25.85% to 42.66%) to 2017–2018 (42.03%; 95% CI, 35.09% to 48.97%) than the other two age subgroups (P<0.05 for group differences). The age-adjusted percentage of MUO was the highest among non-Hispanic Blacks while the lowest among non-Hispanic Whites in most cycles. Adults with high-income levels generally had lower MUO percentages from 1999–2000 (22.63%; 95% CI, 17.00% to 28.26%) to 2017–2018 (32.36%; 95% CI, 23.87% to 40.85%) compared with the other two subgroups. Conclusion This study detected a continuous linear increasing trend in MUO among US adults from 1999 to 2018. The persistence of disparities by age, race/ethnicity, and income is a cause for concern. This calls for implementing evidence-based, structural, and effective MUO prevention programs.

Background: This study aimed to estimate temporal trends in metabolically unhealthy obesity (MUO) among United States (US) adults by age, sex, race/ethnicity, and income from 1999 to 2018. Methods: We included 17,230 non-pregnant adults from a nationally representative cross-sectional study, the National Health and Nutrition Examination Survey (NHANES). MUO was defined as body mass index ≥30 kg/m2 with any metabolic disorders in blood pressure, blood glucose, and blood lipids. The age-adjusted percentage of MUO was calculated, and linear regression models estimated trends in MUO. Results: The weighted mean age of adults was 47.28 years; 51.02% were male, 74.64% were non-Hispanic White. The age-adjusted percentage of MUO continuously increased in adults across all subgroups during 1999–2018, although with different magnitudes (all P<0.05 for linear trend). Adults aged 45 to 64 years consistently had higher percentages of MUO from 1999–2000 (34.25%; 95% confidence interval [CI], 25.85% to 42.66%) to 2017–2018 (42.03%; 95% CI, 35.09% to 48.97%) than the other two age subgroups (P<0.05 for group differences). The age-adjusted percentage of MUO was the highest among non-Hispanic Blacks while the lowest among non-Hispanic Whites in most cycles. Adults with high-income levels generally had lower MUO percentages from 1999–2000 (22.63%; 95% CI, 17.00% to 28.26%) to 2017–2018 (32.36%; 95% CI, 23.87% to 40.85%) compared with the other two subgroups. Conclusion This study detected a continuous linear increasing trend in MUO among US adults from 1999 to 2018. The persistence of disparities by age, race/ethnicity, and income is a cause for concern. This calls for implementing evidence-based, structural, and effective MUO prevention programs.

Background: This study aimed to estimate temporal trends in metabolically unhealthy obesity (MUO) among United States (US) adults by age, sex, race/ethnicity, and income from 1999 to 2018. Methods: We included 17,230 non-pregnant adults from a nationally representative cross-sectional study, the National Health and Nutrition Examination Survey (NHANES). MUO was defined as body mass index ≥30 kg/m2 with any metabolic disorders in blood pressure, blood glucose, and blood lipids. The age-adjusted percentage of MUO was calculated, and linear regression models estimated trends in MUO. Results: The weighted mean age of adults was 47.28 years; 51.02% were male, 74.64% were non-Hispanic White. The age-adjusted percentage of MUO continuously increased in adults across all subgroups during 1999–2018, although with different magnitudes (all P<0.05 for linear trend). Adults aged 45 to 64 years consistently had higher percentages of MUO from 1999–2000 (34.25%; 95% confidence interval [CI], 25.85% to 42.66%) to 2017–2018 (42.03%; 95% CI, 35.09% to 48.97%) than the other two age subgroups (P<0.05 for group differences). The age-adjusted percentage of MUO was the highest among non-Hispanic Blacks while the lowest among non-Hispanic Whites in most cycles. Adults with high-income levels generally had lower MUO percentages from 1999–2000 (22.63%; 95% CI, 17.00% to 28.26%) to 2017–2018 (32.36%; 95% CI, 23.87% to 40.85%) compared with the other two subgroups. Conclusion This study detected a continuous linear increasing trend in MUO among US adults from 1999 to 2018. The persistence of disparities by age, race/ethnicity, and income is a cause for concern. This calls for implementing evidence-based, structural, and effective MUO prevention programs.

Objective To systematically evaluate the risk prediction models for anastomotic leakage (AL) in patients with esophageal cancer after surgery. Methods A computer-based search of PubMed, EMbase, Web of Science, Cochrane Library, Chinese Medical Journal Full-text Database, VIP, Wanfang, SinoMed and CNKI was conducted to collect studies on postoperative AL risk prediction model for esophageal cancer from their inception to October 1st, 2023. PROBAST tool was employed to evaluate the bias risk and applicability of the model, and Stata 15 software was utilized for meta-analysis. Results A total of 19 literatures were included covering 25 AL risk prediction models and 7373 patients. The area under the receiver operating characteristic curve (AUC) was 0.670-0.960. Among them, 23 prediction models had a good prediction performance (AUC>0.7); 13 models were tested for calibration of the model; 1 model was externally validated, and 10 models were internally validated. Meta-analysis showed that hypoproteinemia (OR=9.362), postoperative pulmonary complications (OR=7.427), poor incision healing (OR=5.330), anastomosis type (OR=2.965), preoperative history of thoracoabdominal surgery (OR=3.181), preoperative diabetes mellitus (OR=2.445), preoperative cardiovascular disease (OR=3.260), preoperative neoadjuvant therapy (OR=2.977), preoperative respiratory disease (OR=4.744), surgery method (OR=4.312), American Society of Anesthesiologists score (OR=2.424) were predictors for AL after esophageal cancer surgery. Conclusion At present, the prediction model of AL risk in patients with esophageal cancer after surgery is in the development stage, and the overall research quality needs to be improved.

To investigate the detection status of human papillomavirus (HPV) among adult women in high-altitude regions of Xizang.

Background: This study aimed to estimate temporal trends in metabolically unhealthy obesity (MUO) among United States (US) adults by age, sex, race/ethnicity, and income from 1999 to 2018. Methods: We included 17,230 non-pregnant adults from a nationally representative cross-sectional study, the National Health and Nutrition Examination Survey (NHANES). MUO was defined as body mass index ≥30 kg/m2 with any metabolic disorders in blood pressure, blood glucose, and blood lipids. The age-adjusted percentage of MUO was calculated, and linear regression models estimated trends in MUO. Results: The weighted mean age of adults was 47.28 years; 51.02% were male, 74.64% were non-Hispanic White. The age-adjusted percentage of MUO continuously increased in adults across all subgroups during 1999–2018, although with different magnitudes (all P<0.05 for linear trend). Adults aged 45 to 64 years consistently had higher percentages of MUO from 1999–2000 (34.25%; 95% confidence interval [CI], 25.85% to 42.66%) to 2017–2018 (42.03%; 95% CI, 35.09% to 48.97%) than the other two age subgroups (P<0.05 for group differences). The age-adjusted percentage of MUO was the highest among non-Hispanic Blacks while the lowest among non-Hispanic Whites in most cycles. Adults with high-income levels generally had lower MUO percentages from 1999–2000 (22.63%; 95% CI, 17.00% to 28.26%) to 2017–2018 (32.36%; 95% CI, 23.87% to 40.85%) compared with the other two subgroups. Conclusion This study detected a continuous linear increasing trend in MUO among US adults from 1999 to 2018. The persistence of disparities by age, race/ethnicity, and income is a cause for concern. This calls for implementing evidence-based, structural, and effective MUO prevention programs.