In 2025， European Association for the Study of the Liver published the clinical practice guidelines on vascular diseases of the liver. The guidelines comprehensively elaborate on the vascular diseases of the liver from the aspects of risk factors， diagnosis， and treatment strategies， in order to provide guidance for the management of patients with these conditions based on the best evidence available. This article gives an excerpt of the recommendations and guidance statements in the clinical practice guidelines.

Objective To explore the efficiency of indocyanine green (ICG) fluorescence imaging-guided hepatectomy and its short-term prognosis in patients with primary liver carcinoma. Methods Retrospective analysis was conducted on 166 patients diagnosed with primary liver carcinoma and admitted to the Department of Hepatobiliary Surgery of Shanghai General Hospital affiliated to Shanghai Jiao Tong University School of Medicine from June 2018 to June 2021. Patients were categorized into ICG group (n=72) and non-ICG group (n=94) based on the utilization of ICG during surgery. Moreover, the clinical information of preoperation, intraoperation, and postoperation were collected and compared between the two groups. ICG fluorescence images of the lesions in the ICG group were recorded for analysis. Results ICG fluorescence intensity is associated with the histopathology, differentiation grade of primary liver cancer, and the presence of liver cirrhosis. Hepatocellular carcinoma lesions predominantly displayed partial fluorescence, while intrahepatic cholangiocarcinoma lesions showed circular fluorescence. Well differentiated tumors exhibited complete fluorescence (7/11), moderately differentiated tumors demonstrated partial fluorescence (28/51), and poorly differentiated tumors displayed circular fluorescence (7/10). Most patients with liver cirrhosis exhibited partial fluorescence (18/35) or complete fluorescence (13/35).Compared to the non-ICG group, the ICG group demonstrated higher serum albumin levels on the first (34.6 g/L vs. 31.4 g/L) and the third postoperative days (32.4 g/L vs. 31.2 g/L)(P<0.001). Conversely, the ICG group showed shorter operation time (170 min vs. 210 min), lower rate of intraoperative hepatic portal blockade (9.7% vs. 33.0%), less intraoperative blood loss (400 mL vs. 430 mL), shorter postoperative hospital stay (10 d vs. 14 d), and lower incidence of short-term postoperative complications (4.2% vs. 20.2%) (P<0.05) compared to the non-ICG group. Conclusions ICG fluorescence intensity is associated with the histopathology, differentiation grade of primary liver cancer, and the presence of liver cirrhosis.The judicious application of ICG fluorescence imaging technology alongside surgical techniques holds promise for improving short-term prognosis and expediting the postoperative recovery.

Computational analysis can accurately detect drug-gene interactions (DGIs) cost-effectively. However, transductive learning models are the hotspot to reveal the promising performance for unknown DGIs (both drugs and genes are present in the training model), without special attention to the unseen DGIs (both drugs and genes are absent in the training model). In view of this, this study, for the first time, proposed an inductive learning-based model for the precise identification of unseen DGIs. In our study, by integrating disease nodes to avoid data sparsity, a multi-relational drug-disease-gene (DDG) graph was constructed to achieve effective fusion of data on DDG intro-relationships and inter-actions. Following the extraction of graph features by utilizing graph embedding algorithms, our next step was the retrieval of the attributes of individual gene and drug nodes. In this way, a hybrid feature characterization was represented by integrating graph features and node attributes. Machine learning (ML) models were built, enabling the fulfillment of transductive predictions of unknown DGIs. To realize inductive learning, this study generated an innovative idea of transforming known node vectors derived from the DDG graph into representations of unseen nodes using node similarities as weights, enabling inductive predictions for the unseen DGIs. Consequently, the final model was superior to existing models, with significant improvement in predicting both external unknown and unseen DGIs. The practical feasibility of our model was further confirmed through case study and molecular docking. In summary, this study establishes an efficient data-driven approach through the proposed modeling, suggesting its value as a promising tool for accelerating drug discovery and repurposing.

Computational analysis can accurately detect drug-gene interactions(DGIs)cost-effectively.However,transductive learning models are the hotspot to reveal the promising performance for unknown DGIs(both drugs and genes are present in the training model),without special attention to the unseen DGIs(both drugs and genes are absent in the training model).In view of this,this study,for the first time,proposed an inductive learning-based model for the precise identification of unseen DGIs.In our study,by integrating disease nodes to avoid data sparsity,a multi-relational drug-disease-gene(DDG)graph was constructed to achieve effective fusion of data on DDG intro-relationships and inter-actions.Following the extraction of graph features by utilizing graph embedding algorithms,our next step was the retrieval of the attributes of individual gene and drug nodes.In this way,a hybrid feature charac-terization was represented by integrating graph features and node attributes.Machine learning(ML)models were built,enabling the fulfillment of transductive predictions of unknown DGIs.To realize inductive learning,this study generated an innovative idea of transforming known node vectors derived from the DDG graph into representations of unseen nodes using node similarities as weights,enabling inductive predictions for the unseen DGIs.Consequently,the final model was superior to existing models,with significant improvement in predicting both external unknown and unseen DGIs.The practical feasibility of our model was further confirmed through case study and molecular docking.In summary,this study establishes an efficient data-driven approach through the proposed modeling,suggesting its value as a promising tool for accelerating drug discovery and repurposing.

OBJECTIVE To analyze the reasons for the outbreak of suspected carbapenem-resistant Acinetobacter baumannii(CRAB)infections in the neurosurgical intensive care unit to take comprehensive prevention and con-trol measures to control the spread of infections,and to provide a reference for the control of multidrug-resistant organisms(MDRO)infections in intensive care units.METHODS Epidemiological data were collected from five patients with CRAB infections in the neurosurgical intensive care unit of Gansu Provincial People's Hospital in Mar.2024,and environmental hygiene monitoring and comprehensive infection prevention and control measures were conducted.RESULTS A total of five cases of lower respiratory tract infections occurred,all of which were hospital-acquired infections,and all patients had consistent spatial-temporal distribution.A.baumannii was detec-ted in the sputum cultures of all patients,and all were resistant to carbapenems,aminoglycosides and some β-lac-tam drugs.Before the implementation of comprehensive prevention and control measures,a total of 25 samples from the surfaces and the hands of health workers were collected,with a pass rate of 52.00％;CRAB was detected on the surface of treatment carts and the wall of sputum suction bottles in the treatment room,with a detection rate of 8.00％.After the implementation,a total of 24 samples were collected,with a pass rate of 100.00％,and the difference was statistically significant when compared with the pre-implementation period(χ2=16.987,P<0.001).Through the implementation of comprehensive measures such as isolation,standardization of the ward cleaning and disinfection process,strengthening hand hygiene,standardization of sterile operations and personnel management,the indicators such as hand hygiene compliance rate,the execution rate of multi-drug-resistant bac-terial preventive and control measures and the fluorescent marker removal rate were all improved,and the suspec-ted CRAB infection outbreak was timely controlled.CONCLUSION This suspected CRAB hospital-acquired infec-tion outbreak may be related to a variety of factors,and timely environmental hygiene monitoring and comprehen-sive infection prevention and control measures can effectively control the spread of CRAB infection.

OBJECTIVE To explore the risk factors for hospital-associated infections(HAI)in dead patients so as to provide bases for development of prevention strategies for the hospital-associated infections.METHODS Totally 560 patients who died due to non-SARS-CoV-2 infections and hospitalized in Gansu Provincial People's Hospital for more than 48 hours in 2019 and 2023 were retrospectively analyzed,70 of whom had HAI and were assigned as the HAI group,and the rest of 490 patients were assigned as the non-HAI group.The incidence of HAI,major causes of death,risk factors and economic burden were observed.RESULTS The incidence of HAI was 12.50％a-mong the dead patients,the lower respiratory tract infection was the predominant type of infection,and the re-spiratory failure was the primary and direct cause of death in the HAI group;the total treatment cost of the HAI group was higher than that of the non-HAI group(P＜0.05).Univariate analysis showed that there were signifi-cant differences in the length of hospital stay,multidrug-resistant organisms infections,combined use of antibiot-ics,surgery,hemodialysis/peritoneal dialysis,invasive procedures(drainage,puncture,intubation,tracheoto-my),use of equipment like ventilator or urinary catheter,central venous catheter indwelling,blood transfusion,and use of immunosuppressors/glucocorticoids between the HAI group and the non-HAI group(P＜0.05),while there were no significant differences in the sex,age,underlying diseases,modified early warning score(MEWS)and major diagnosis and chemoradiotherapy between the two groups.Multivariate analysis indicated that the length of hospital stay more than 14 days,history of surgery and combined use of antibiotics were the risk factors for HAI in the dead patients(P＜0.05).CONCLUSION It is necessary for the hospital to identify the high-risk pa-tients as early as possible,pay close attention to the lower respiratory tract infection,reduce the risk of HAI by shortening the length of hospital stay,standardizing the invasive procedures and reasonably using antibiotics so as to improve the prognosis of the patients.

OBJECTIVE To explore the risk factors for hospital-associated infections(HAI)in dead patients so as to provide bases for development of prevention strategies for the hospital-associated infections.METHODS Totally 560 patients who died due to non-SARS-CoV-2 infections and hospitalized in Gansu Provincial People's Hospital for more than 48 hours in 2019 and 2023 were retrospectively analyzed,70 of whom had HAI and were assigned as the HAI group,and the rest of 490 patients were assigned as the non-HAI group.The incidence of HAI,major causes of death,risk factors and economic burden were observed.RESULTS The incidence of HAI was 12.50％a-mong the dead patients,the lower respiratory tract infection was the predominant type of infection,and the re-spiratory failure was the primary and direct cause of death in the HAI group;the total treatment cost of the HAI group was higher than that of the non-HAI group(P＜0.05).Univariate analysis showed that there were signifi-cant differences in the length of hospital stay,multidrug-resistant organisms infections,combined use of antibiot-ics,surgery,hemodialysis/peritoneal dialysis,invasive procedures(drainage,puncture,intubation,tracheoto-my),use of equipment like ventilator or urinary catheter,central venous catheter indwelling,blood transfusion,and use of immunosuppressors/glucocorticoids between the HAI group and the non-HAI group(P＜0.05),while there were no significant differences in the sex,age,underlying diseases,modified early warning score(MEWS)and major diagnosis and chemoradiotherapy between the two groups.Multivariate analysis indicated that the length of hospital stay more than 14 days,history of surgery and combined use of antibiotics were the risk factors for HAI in the dead patients(P＜0.05).CONCLUSION It is necessary for the hospital to identify the high-risk pa-tients as early as possible,pay close attention to the lower respiratory tract infection,reduce the risk of HAI by shortening the length of hospital stay,standardizing the invasive procedures and reasonably using antibiotics so as to improve the prognosis of the patients.

OBJECTIVE To analyze the reasons for the outbreak of suspected carbapenem-resistant Acinetobacter baumannii(CRAB)infections in the neurosurgical intensive care unit to take comprehensive prevention and con-trol measures to control the spread of infections,and to provide a reference for the control of multidrug-resistant organisms(MDRO)infections in intensive care units.METHODS Epidemiological data were collected from five patients with CRAB infections in the neurosurgical intensive care unit of Gansu Provincial People's Hospital in Mar.2024,and environmental hygiene monitoring and comprehensive infection prevention and control measures were conducted.RESULTS A total of five cases of lower respiratory tract infections occurred,all of which were hospital-acquired infections,and all patients had consistent spatial-temporal distribution.A.baumannii was detec-ted in the sputum cultures of all patients,and all were resistant to carbapenems,aminoglycosides and some β-lac-tam drugs.Before the implementation of comprehensive prevention and control measures,a total of 25 samples from the surfaces and the hands of health workers were collected,with a pass rate of 52.00％;CRAB was detected on the surface of treatment carts and the wall of sputum suction bottles in the treatment room,with a detection rate of 8.00％.After the implementation,a total of 24 samples were collected,with a pass rate of 100.00％,and the difference was statistically significant when compared with the pre-implementation period(χ2=16.987,P<0.001).Through the implementation of comprehensive measures such as isolation,standardization of the ward cleaning and disinfection process,strengthening hand hygiene,standardization of sterile operations and personnel management,the indicators such as hand hygiene compliance rate,the execution rate of multi-drug-resistant bac-terial preventive and control measures and the fluorescent marker removal rate were all improved,and the suspec-ted CRAB infection outbreak was timely controlled.CONCLUSION This suspected CRAB hospital-acquired infec-tion outbreak may be related to a variety of factors,and timely environmental hygiene monitoring and comprehen-sive infection prevention and control measures can effectively control the spread of CRAB infection.

Objective To investigate the consistency between colonoscopic Boston bowel preparation score and the bowel cleanliness evaluated by pre-endoscopy naked eye faecal observation,so as to provide a guidance on bowel preparation.Methods From September 2018 to June 2019,convenience sampling method was used to select 150 inpatients who underwent colonoscopy in the Department of Gastroenterology of a tertiary hospital in Guangzhou as the research objects.Before colonoscopy,the compound polyethylene glycol electrolyte powder was taken orally according to the bowel preparation plan for cleaning the colorectum.Before the colonoscopic examination,the naked eye observation method by nurses was used to observe the transparency of the excreta to evaluate the cleanliness of colorectum.Then the colorectal cleanliness was evaluated by endoscope by the operator using the Boston bowel preparation assessment scale(BBPS)during colonoscopy.Results A total of 145 patients completed the study.The cleanliness of bowel preparation was 93.1%with the naked eye observation and 88.27%with colonoscopy.There was no significant difference between the two assessment methods in judging the effectiveness of bowel preparation(P<0.05).The sensitivity of naked eye observation in judging bowel preparation was 96.10%with a 29.41%of specificity.The positive predictive value was 91.11%,and the negative predictive value was 50%(Kappa=0.310,P<0.001).Conclusion The naked eye observation and evaluation method for bowel preparation has advantages in high sensitivity,low specificity,high positive predictive value and low negative predictive value.It can be used as a preliminary evaluation method for cleanliness of colorectum before colonoscopy.

Objective:To correlate climate change with epistaxis in Yueqing of Zhejiang province and to provide evidence for the diagnosis and treatment of epistaxis.Methods:A total of 1 800 patients with epistaxis, who received treatment in Yueqing People's Hospital between October 2018 and October 2019, were included in this study. The data of these patients were input into the Microsoft Excel software. They were summarized and sorted as per admission time. Climate change was correlated with epistaxis.Results:Daily average temperatures were negatively correlated with epistaxis ( r = -0.65, P = 0.003). A non-linear, inverted-U-shaped relationship was observed between daily relative humidity and epistaxis. When the daily relative humidity was < 65%, daily relative humidity was positively correlated with epistaxis ( r = -0.54, P = 0.007).When the daily relative humidity was > 65%, daily relative humidity was negatively correlated with epistaxis ( r = -0.68, P = 0.002). There was a nearly linear positive correlation between diurnal temperature range and epistaxis ( r = 0.52, P = 0.009). There was a linear and positive correlation between daily average atmospheric pressure and epistaxis ( r = 0.60, P = 0.004). The risk of epistaxis increased by 1.48% (95% CI: -2.15 to -0.81) when the temperature decreased by 1 ℃. When daily relative humidity was < 65%, the effects of humidity change on the risk of epistaxis were not statistically significant ( P > 0.05). When the relative humidity of the day was > 65%, the risk of epistaxis decreased by 1.82% (95% CI: -2.71 to -0.93) for every unit of humidity rise. The risk of epistaxis increased by 2.86% (95% CI: 0.54 - 5.18) for every 1 ℃ increase in temperature. The risk of epistaxis increased by 1.18% (95% CI: 0.50 - 1.87) for every 1 Pa increase in air pressure. Conclusion:Temperature change is negatively correlated with epistaxis. Atmospheric pressure and diurnal temperature range are positively correlated with epistaxis. Temperature change, atmospheric pressure, and diurnal temperature have temporary effects on epistaxis. High humidity has an obvious long-term protective effect against epistaxis.