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

Objective To analyze the technical essentials of single-microport assisted micro-uni-port thoracoscopic surgery, and to investigate its surgical efficacy and promotional value. Methods Clinical data of patients who consecutively underwent radical upper lobectomy in the Department of Thoracic Surgery of Xi'an International Medical Center Hospital from March 2023 to June 2024 were retrospectively analyzed. According to the surgical approach, patients were divided into two groups: the single-microport assisted group (underwent upper lobectomy via single-microport assisted micro-uni-port thoracoscopy) and the traditional uniportal group (underwent traditional uniportal thoracoscopic lobectomy). Clinical outcomes were compared between the two groups. Results A total of 62 patients were enrolled. There were 30 patients in the single-microport assisted group, with a mean age of (57.4±10.8) years, and 32 patients in the traditional uniportal thoracoscopic group, with a mean age of (57.6±8.7) years. The baseline data were comparable between the two groups. All patients in both groups successfully underwent minimally invasive surgery without conversion to thoracotomy. The operative time in the single-microport assisted group was significantly shorter than that in the traditional uniportal group [(146.03±30.79) min vs. (171.41±36.41) min, P=0.004]. However, there were no statistically significant differences between the two groups in intraoperative blood loss, number of dissected lymph nodes, duration of chest tube drainage, postoperative pain score, postoperative hospital stay, hospitalization cost, or incidence of postoperative complications (all P>0.05). Conclusion Single-microport assisted micro-uni-port thoracoscopic surgery for upper lobectomy can maximally integrate the advantages of three-port and uni-port VATS while effectively avoiding their disadvantages. It significantly shortens the operative time without increasing postoperative pain or complications, and represents a more minimally invasive, safer, and more convenient surgical approach.

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.

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.

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

Objective:To construct an information management system based on the back-end framework of React componentization and front-end framework of Uni scalable enterprise,so as to explore its application effect in management for operation room.Methods:React was used as the backend framework to construct JavaScript program code library of user interface,and all front-end applications that adopted Uni as the development system of frontend framework were used to construct informatization management system based on React and Uni framework,so as to manage operation room of hospital.A total of 100 surgical equipment that were used in the operation room of Guizhou Provincial People's Hospital from January 2023 to December 2023 were selected.According to different management methods,the conventional management method was adopted to manage equipment during January and June 2023,while the management method of informatization management system(informatization management)based on React and Uni frameworks was adopted to manage these equipment during July and December 2023.The frequency of leaving operation room of nursing personnel due to non-nursing events,the timeliness rate of transporting surgical patients and incidence of adverse events of nursing,as well as implementation rates of"five confirmations"included confirmed equipment,confirmed staff,confirmed time,confirmed quality and confirmed quantity,between two kinds of management methods were compared.Results:In the 200 surgeries of adopting informatization management method,the frequency of leaving operation room of nursing personnel due to non-nursing events was 2.5%,which was lower than 7.5%of conventional management method,and the difference was statistically significant(x2=5.213,P<0.05).The implementation rate of the"five confirmations"for equipment was 100%,which was higher than that of conventional management methods,and the difference was statistically significant(x2=15.232,P<0.05).The timeliness rate of transporting surgical patients was 100%in 100 surgeries,which was higher than 85%of conventional management method,and the difference was significant(x2=15.136,P<0.05).The incidence of various kinds of adverse events of nursing in the operating room was 0 in 100 surgeries,which was lower than that of conventional management method,and the difference was statistically significant(x2=0.226,P<0.05).Conclusion:The informatization management system based on React and Uni framework can significantly reduce the frequency of leaving operation room of nursing personnel due to non-nursing events in operation room,and improve the work efficiency in operation room,and reduce the incidences of work errors and adverse events in management for surgery.

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.