Objective To compare the clinical efficacy of low-molecular-weight heparin anticoagulant drugs in the treatment of venous thrombosis caused by viral pneumonia.Methods The clinical data of 355 patients diagnosed with viral pneumonia patients in the First People's Hospital of Yunnan Province from December 2022 to February 2023 were collected by retrospective analysis.The patients were classified into moderate group(n=1 14),severe group(n=116),and critical group(n=125)based on the severity of viral pneumonia.The changes in coagulation indicators of the patients after treatment with low molecular weight heparin sodium injection,low molecular weight heparin calcium injection,and enoxaparin sodium injection were compared among three groups.Results Compared with before treatment,there was no statistically significant difference in white blood cells count among three groups of patients after treatment(P＞0.05);The hypersensitive C-reactive protein levels of patients in moderate group and critical group decreased(P＜0.05);The levels of D-dimer decreased in severe group and critical group of patients(P＜0.05).After treatment with low-molecular-weight heparin calcium injection,the activated partial thromboplastin and prothrombin time of patients in severe group were shortened compared to before treatment,and the D-dimer levels of patients in severe group and critical group were reduced compared to before treatment,with statistical significance(P＜0.05);After treatment with low-molecular-weight heparin sodium and enoxaparin,only critical group showed a significant decrease in D-dimer levels(P＜0.05).Conclusion Low-molecular-weight heparin calcium injection has a stronger alleviating effect on blood hypercoagulability caused by elevated D-dimer levels than low-molecular-weight heparin sodium and enoxaparin,which is beneficial for relieving patients' hypercoagulability.

Objective To explore the biological effects and changes of metabolites of Guilu erxian glue(GLE)in vivo in the pre-vention and treatment of postmenopausal osteoporosis(PMO),based on non-targeted metabolomics.Methods Fifty SD female rats were divided into five groups using the random number table method:sham group,model group(OVX),and low-,medium-,and high-dose GLE(GLE-L,GLE-M and GLE-H)groups,with ten mice in each group.After 1 week of modeling,the drug was given by gavage,and samples were collected 8 weeks later.Bone microstructure was detected by MicroCT,bone metabolism-related indices were analyzed by immunohistochemistry(IHC),and a serum metabolite atlas was constructed using the LC-MS/MS technique to observe the distribution differences of metabolites and related pathways.Results The MicroCT results showed that GLE could increase the percentage of bone trabeculae and restore bone microstructure(P<0.05,GLE-M group vs.OVX group).IHC analysis showed that GLE could increase Runx2 expression in femur(P<0.05,GLE-M group vs.OVX group).There were four co-regulated metabolites in the sham group,GLE-H group,and OVX group,including 3-(3-methoxyphenyl)propionic acid,acetamide,Equol,and 1-oleoacyl-SN-glycerol-3-phosphocholine,which showed high expression in the sham group,low expression in the OVX group,and high expression in the GLE-M group.The KEGG pathway result showed that the main pathways involved between the sham group and OVX group were steroid hormone biosynthesis and cortisol synthesis and secretion.Tryptophan metabolism and phenylalanine metabolism were observed in the GLE group and OVX group.Conclusion GLE may prevent PMO by regulating metabolites in the body.

Objective To explore the biological effects and changes of metabolites of Guilu erxian glue(GLE)in vivo in the pre-vention and treatment of postmenopausal osteoporosis(PMO),based on non-targeted metabolomics.Methods Fifty SD female rats were divided into five groups using the random number table method:sham group,model group(OVX),and low-,medium-,and high-dose GLE(GLE-L,GLE-M and GLE-H)groups,with ten mice in each group.After 1 week of modeling,the drug was given by gavage,and samples were collected 8 weeks later.Bone microstructure was detected by MicroCT,bone metabolism-related indices were analyzed by immunohistochemistry(IHC),and a serum metabolite atlas was constructed using the LC-MS/MS technique to observe the distribution differences of metabolites and related pathways.Results The MicroCT results showed that GLE could increase the percentage of bone trabeculae and restore bone microstructure(P<0.05,GLE-M group vs.OVX group).IHC analysis showed that GLE could increase Runx2 expression in femur(P<0.05,GLE-M group vs.OVX group).There were four co-regulated metabolites in the sham group,GLE-H group,and OVX group,including 3-(3-methoxyphenyl)propionic acid,acetamide,Equol,and 1-oleoacyl-SN-glycerol-3-phosphocholine,which showed high expression in the sham group,low expression in the OVX group,and high expression in the GLE-M group.The KEGG pathway result showed that the main pathways involved between the sham group and OVX group were steroid hormone biosynthesis and cortisol synthesis and secretion.Tryptophan metabolism and phenylalanine metabolism were observed in the GLE group and OVX group.Conclusion GLE may prevent PMO by regulating metabolites in the body.

Objective To investigate the impact of county-level"Unified ECG Network"construction on the treatment efficiency and clinical outcomes of patients with acute ST-segment elevation myocardial infarction(STEMI).Methods A retrospective analysis was conducted on the clinical data of STEMI patients from Beichuan County and Yanting County in Mianyang City,and Jiange County in Guangyuan City,Sichuan Province,during the 18 months before(128 cases)and 18 months after(187 cases)the establishment of the"Unified ECG Network."Differences in demographic characteristics,treatment efficiency,therapeutic methods,and clinical outcomes between the two groups were compared.Results There was no statistically significant difference in general demographic characteristics between the two groups(all P＞0.05).Compared with the pre-construction group,the post-construction group showed significantly shorter times in initial ECG completion[5(3,7)min vs.6(4,8)min],initial ECG diagnosis[3(2,4)min vs.5(2,6)min],first medical contact to preliminary diagnosis[10(9,12)min vs.13(11,15)min],network hospital door-in-door-out time[21(19,23)min vs.26(23,30)min],and first medical contact to wire-crossing time[(94.82±11.87)min vs.(107.97±18.39)min](allP＜0.001).The proportion of patients bypassing the emergency department and coronary care unit significantly increased(64.17％vs.32.81％,P＜0.001).The proportion of patients undergoing emergency percutaneous coronary intervention significantly increased(72.73％vs.51.56％,P＜0.001),while the proportions of thrombolytic therapy and non-reperfusion therapy significantly decreased(both P＜0.05).Additionally,in-hospital mortality rate,Killip class≥Ⅱ proportion,incidence of major adverse cardiovascular events,and average length of hospital stay were all significantly reduced(all P＜0.05).There were no statistically significant differences among the three county-level chest pain centers in terms of major treatment efficiency,therapeutic strategies,or clinical outcomes(all P＞0.05).Conclusions The construction of the county-level"Unified ECG Network"can significantly improve the treatment efficiency of STEMI patients,optimize reperfusion therapy strategies,improve clinical outcomes,and demonstrate substantial clinical promotion value.

Objective:To evaluate the diagnostic performance of artificial intelligence-assisted diagnostic systems in cervical cytopathological examination.Methods:Cervical cytology slide data were retrospectively collected from four hospitals for the external validation of the developed artificial intelligence-assisted diagnostic system. Subsequently, prospective data collection was conducted for human-machine assisted studies.Results:In the retrospective study, a total of 3 162 valid samples were collected as external validation data. The system showed an area under the curve (AUC) of 0.890 (95% CI: 0.878-0.902), accuracy of 0.885 (95% CI: 0.873-0.896), sensitivity of 0.928 (95% CI: 0.914-0.941), and specificity of 0.852 (95% CI: 0.834-0.867). In the prospective study, 212 valid samples were collected, and five junior cytologists participated in the human-machine assisted study. Without artificial intelligence assistance, the average AUC for the five cytologists was 0.686 (95% CI: 0.650-0.722), the accuracy was 0.699 (95% CI: 0.671-0.727), the sensitivity was 0.653 (95% CI: 0.599-0.703), the specificity was 0.719 (95% CI: 0.685-0.750), the Fleiss κ value was 0.510, and the reading time was 223 seconds. With artificial intelligence assistance, the AUC, accuracy, sensitivity, and specificity increased by 0.166, 0.143, 0.225, and 0.107, respectively. Additionally, Fleiss κ was 0.730 and the reading time decreased by 188 seconds. All differences were statistically significant (all P<0.001). Conclusions:Artificial intelligence-assisted diagnosis system shows excellent performance and good generalizability, significantly improving the diagnostic accuracy, consistency, and efficiency of junior cytologists. It can be an effective auxiliary tool for junior cytologists in clinical practice.

Objective:To evaluate the efficacy and feasibility of a domestically developed robotic surgical system based on fiber-optic dedicated line communication in cross-regional urological telesurgery.Methods:This was multicenter，single-arm，retrospective case series study. The data of patients who underwent urological telesurgeries using the telesurgical system between January 2023 and December 2024 were analyzed. The cohort included 59 patients from seven hospitals across China. Among the patients，47 were male（79.7%）and 12 were female（20.3%），with a median age of 63.0（56.0，68.0）years and a body mass index of（24.7 ± 3.0）kg/m 2. Surgical procedures included 32 radical prostatectomies，24 partial nephrectomies，one radical nephrectomy，one adrenalectomy，and one ureteral reconstruction. The perioperative indicators，pathological results and postoperative complications were analyzed. The network monitoring data were collected，and the perioperative data of patients，remote system monitoring data and costs were compared between the two communication modes of optical transport network（OTN）and cloud-connect network（CCN）. Results:All 59 remote surgeries were successfully completed，with a mean operative time of（138.0 ± 54.0）minutes，median intraoperative blood loss of 50.0（30.0，100.0）ml and a postoperative hospital stay of 5.0（4.0，6.0）days. No cases required reoperation，Clavien-Dindo grade ≥3 complications，or readmission. The geographical distance between the primary and remote surgical sites ranged from 450 to 2 800 km. Network monitoring revealed increased bidirectional latency with distance increasing：the shortest latency time（Hefei-Hangzhou，450 km）was（16.59 ± 0.80）ms，while the longest（Harbin-Hangzhou，2 200 km）latency time was（53.31 ± 0.31）ms. Average frame loss per procedure was 0?1.27 frames. The results of subgroup analysis comparing OTN and CCN communication modes showed no significant differences in operative time［（130.7 ± 70.5）minutes vs.（142.1 ± 42.9）minutes， P = 0.442］，postoperative hospitalization［6.0（4.0，8.0）d vs. 5.0（4.0，6.0）d， P = 0.581］，or readmission rates（0 vs. 0）. However，CCN demonstrated significant cost advantages with 500 RMB per operation vs. 3 000 RMB per operation for OTN. Conclusions:Urological telesurgery using fiber-optic communication is feasible. The CCN mode，with its cost-effectiveness，excellent usability，and multi-point interconnection flexibility，is currently the preferred communication model for telesurgical applications.

Objective:To investigate the current situation and influencing factors of work ability in gynecological cancer patients, so as to provide a reference for occupational rehabilitation management of cancer patients.Methods:A total of 183 gynecological cancer patients who visited the gynecological oncology outpatient department of Women′s Hospital of Nanjing Medical University from November 2022 to March 2023 were selected by the convenience sampling. The General Information Questionnaire, Return-to-Work Self-efficacy Questionnaire, Social Support Rating Scale, the European Organization for Research and Treatment of Cancer Quality of Life Quesionnaire Core 30, Work Ability Index were selected for cross-sectional investigaton. The multiple linear regression analysis was used to explore the influencing factors of work ability in gynecological cancer patients.Results:A total of 189 questionnaires were sent out in this study, and 183 were effectively collected, with an effective recovery rate of 96.83% (183/189). The patients were (44.64 ± 7.06) years old. The scores of the patients were (27.77 ± 7.58) points on Work Ability Index, (4.72 ± 1.14) points on Return-to-Work Self-efficacy Questionnaire, (86.93 ± 23.44) points on Social Support Rating Scale, (79.46 ± 19.53) points on overall health status area and (41.23 ± 27.80) points on the field of fatigue symptoms area of the European Organization for Research and Treatment of Cancer Quality of Life Quesionnaire Core 30. Multiple linear regression analysis showed that fatigue, comorbidities, clinical stage of disease, primary treatment, per capita monthly income of families, return-to-work self efficacy and job nature were independent influencing factors of work ability in gynecological cancer patients ( t values were -10.47-2.86, all P<0.05), which explained 67.9% of the total variance. Conclusions:Clinical medical staff should pay attention to the influencing factors that affect work ability in gynecological cancer patients, in order to take targeted occupational rehabilitation measures to improve their work ability.

Creutzfeldt-Jakob disease(CJD)is a rapidly progressive and fatal neurodegenerative disorder caused by prions,with certain infectivity and iatrogenic transmission risks.With the rapid progress and application of new dia-gnostic biomarkers and detection methods,as well as the construction and improvement of surveillance and reporting systems,the detection of CJD in patients domestically and internationally has shown an increasing trend year by year.Due to its long incubation period and heterogeneity of early symptoms,early identification and diagnosis of the disease is difficult,increasing the risk of transmission within medical institutions.Currently,there is a lack of con-sensus on the infection prevention and control of CJD.In order to timely identify and diagnose CJD as well as effec-tively block its transmission in medical institutions,this consensus summarizes 15 clinical concerns and formulates 24 specific recommendations based on the latest domestic and international research findings and clinical evidence,as well as combines with clinical practice,aiming to standardize healthcare-associated infection prevention and control measures for CJD and reduce its transmission risk in medical institutions.

Objective:To evaluate the diagnostic performance of artificial intelligence-assisted diagnostic systems in cervical cytopathological examination.Methods:Cervical cytology slide data were retrospectively collected from four hospitals for the external validation of the developed artificial intelligence-assisted diagnostic system. Subsequently, prospective data collection was conducted for human-machine assisted studies.Results:In the retrospective study, a total of 3 162 valid samples were collected as external validation data. The system showed an area under the curve (AUC) of 0.890 (95% CI: 0.878-0.902), accuracy of 0.885 (95% CI: 0.873-0.896), sensitivity of 0.928 (95% CI: 0.914-0.941), and specificity of 0.852 (95% CI: 0.834-0.867). In the prospective study, 212 valid samples were collected, and five junior cytologists participated in the human-machine assisted study. Without artificial intelligence assistance, the average AUC for the five cytologists was 0.686 (95% CI: 0.650-0.722), the accuracy was 0.699 (95% CI: 0.671-0.727), the sensitivity was 0.653 (95% CI: 0.599-0.703), the specificity was 0.719 (95% CI: 0.685-0.750), the Fleiss κ value was 0.510, and the reading time was 223 seconds. With artificial intelligence assistance, the AUC, accuracy, sensitivity, and specificity increased by 0.166, 0.143, 0.225, and 0.107, respectively. Additionally, Fleiss κ was 0.730 and the reading time decreased by 188 seconds. All differences were statistically significant (all P<0.001). Conclusions:Artificial intelligence-assisted diagnosis system shows excellent performance and good generalizability, significantly improving the diagnostic accuracy, consistency, and efficiency of junior cytologists. It can be an effective auxiliary tool for junior cytologists in clinical practice.

Objective To investigate the impact of county-level"Unified ECG Network"construction on the treatment efficiency and clinical outcomes of patients with acute ST-segment elevation myocardial infarction(STEMI).Methods A retrospective analysis was conducted on the clinical data of STEMI patients from Beichuan County and Yanting County in Mianyang City,and Jiange County in Guangyuan City,Sichuan Province,during the 18 months before(128 cases)and 18 months after(187 cases)the establishment of the"Unified ECG Network."Differences in demographic characteristics,treatment efficiency,therapeutic methods,and clinical outcomes between the two groups were compared.Results There was no statistically significant difference in general demographic characteristics between the two groups(all P＞0.05).Compared with the pre-construction group,the post-construction group showed significantly shorter times in initial ECG completion[5(3,7)min vs.6(4,8)min],initial ECG diagnosis[3(2,4)min vs.5(2,6)min],first medical contact to preliminary diagnosis[10(9,12)min vs.13(11,15)min],network hospital door-in-door-out time[21(19,23)min vs.26(23,30)min],and first medical contact to wire-crossing time[(94.82±11.87)min vs.(107.97±18.39)min](allP＜0.001).The proportion of patients bypassing the emergency department and coronary care unit significantly increased(64.17％vs.32.81％,P＜0.001).The proportion of patients undergoing emergency percutaneous coronary intervention significantly increased(72.73％vs.51.56％,P＜0.001),while the proportions of thrombolytic therapy and non-reperfusion therapy significantly decreased(both P＜0.05).Additionally,in-hospital mortality rate,Killip class≥Ⅱ proportion,incidence of major adverse cardiovascular events,and average length of hospital stay were all significantly reduced(all P＜0.05).There were no statistically significant differences among the three county-level chest pain centers in terms of major treatment efficiency,therapeutic strategies,or clinical outcomes(all P＞0.05).Conclusions The construction of the county-level"Unified ECG Network"can significantly improve the treatment efficiency of STEMI patients,optimize reperfusion therapy strategies,improve clinical outcomes,and demonstrate substantial clinical promotion value.