Portal vein embolization （PVE） can induce atrophy of the embolized lobe and compensatory regeneration of the non-embolized lobe. However， due to inadequate regeneration of future liver remnant （FLR） after PVE， some patients remain unsuitable for hepatectomy after PVE. In recent years， liver venous deprivation （LVD）， which combines PVE with hepatic vein embolization （HVE）， has induced enhanced FLR regeneration. Compared with associating liver partition and portal vein ligation for staged hepatectomy （ALPPS）， LVD triggers faster and more robust FLR regeneration， with lower incidence rate of postoperative complications and mortality rate. By reviewing related articles on LVD， this article introduces the effectiveness of LVD and analyzes the differences and safety of various technical paths， and it is believed that LVD is a safe and effective preoperative pretreatment method.

OBJECTIVE: To investigate the predictive value of early lactate/albumin ratio (LAR) combined with quick sequential organ failure assessment (qSOFA) for the 28-day prognosis of patients with sepsis caused by emergency community-acquired pneumonia (CAP). METHODS: The clinical data of patients with sepsis caused by CAP admitted to the department of emergency of Beijing Haidian Hospital from June 2021 to August 2022 were retrospectively analyzed, including gender, age, comorbidities, lactic acid (Lac), serum albumin (Alb), LAR, procalcitonin (PCT) within 1 hour, and 28-day prognosis. Patients were divided into two groups based on 28-day prognosis, and risk factors affecting patients' prognosis were analyzed using univariate and multivariate Cox regression methods. Patients were divided into two groups according to the best cut-off value of LAR, and Kaplan-Meier survival curves were used to analyze the 28-day cumulative survival of patients in each group. Time-dependent receiver operator characteristic curve (ROC curve) were plotted to analyze the predictive value of sequential organ failure assessment (SOFA), acute physiology and chronic health evaluation II (APACHE II), and qSOFA+LAR score on the prognosis of patients with sepsis caused by CAP at 28 days. The area under the curve (AUC) was calculated and compared. RESULTS: A total of 116 patients with sepsis caused by CAP were included, of whom 80 survived at 28 days and 36 died, 28-day mortality of 31.0%. There were no statistically significant differences in age, gender, comorbidities, pH, platelet count, and fibrinogen between the survival and death groups, and there were significantly differences in blood urea nitrogen (BUN), white blood cell count (WBC), hemoglobin, Lac, Alb, PCT, D-dimer, LAR, as well as qSOFA score, SOFA score, and APACHE II score. Univariate Cox regression analyses showed that BUN, WBC, pH, Lac, Alb, PCT, LAR, qSOFA score, SOFA score, and APACHE II score were associated with mortality outcome. Multifactorial Cox regression analysis of the above variables showed that BUN, WBC, PCT, and APACHE II score were independent risk factors for 28-day death in the emergency department in patients with sepsis caused by CAP [hazard ratio (HR) were 1.081, 0.892, 1.034, and 1.135, respectively, all P < 0.05]. The best cut-off value of early LAR for predicting the 28-day prognosis of sepsis patients was 0.088, the Kaplan-Meier survival curve showed that the 28-day cumulative survival rate of sepsis patients in the LAR ≤ 0.088 group was significantly higher than that in the LAR > 0.088 group [82.9% (63/76) vs. 42.5% (17/40), Log-Rank test: χ² = 22.51, P < 0.001]. The qSOFA+LAR score was calculated based on the LAR cut-off value and qSOFA score, and ROC curve analysis showed that the AUCs of SOFA score, APACHE II score, and qSOFA+LAR score for predicting 28-day death of patients with sepsis caued by CAP were 0.741, 0.774, and 0.709, respectively, with the AUC of qSOFA+LAR score slightly lower than those of SOFA score and APACHE II score, but there were no significantly differences. When the best cut-off value of qSOFA+LAR score was 1, the sensitivity was 63.9% and the specificity was 80.0%. CONCLUSION The qSOFA+LAR score has predictive value for the 28-day prognosis of patients with sepsis caused by CAP in the emergency department, its predictive value is comparable to the SOFA score and the APACHE II score, and it is more convenient for early use in the emergency department.
Emergency Service, Hospital/statistics & numerical data* ; Sepsis/etiology* ; Prognosis ; Community-Acquired Pneumonia/mortality* ; Organ Dysfunction Scores ; Predictive Value of Tests ; Lactic Acid/blood* ; Serum Albumin, Human/analysis* ; Biomarkers/blood* ; Retrospective Studies ; Hospital Mortality ; Kaplan-Meier Estimate ; APACHE ; Procalcitonin/blood* ; ROC Curve ; Area Under Curve ; Humans

Circulating tumor cells(CTCs)are cells that dissociate from the tumor tissue and enter the lymphatic system or bloodstream with close association with tumor metastasis and recurrence.CTCs contain complete pathological information,which can be extracted by isolation,enrichment,and analysis of the CTCs to guide cancer diagnosis and treatment,thereby significantly improving the monitoring efficiency and prognosis of cancer.Compared with tissue biopsy,liquid biopsy with CTCs as a biomarker enables specific and dynamic detection of tumor growth with a less painful experience.For detection of CTCs,the cells must be captured from body fluids,followed then by their release and enrichment.This review summaries the latest research progress in responsive isolation of CTCs(e.g.with light,dielectrophoresis,acoustophoresis and magnetophoresis),chemical isolation(specific molecules and topological structure)and responsive release(e.g.,light,electric,thermal,pH,enzyme responsiveness,and substrates break).Responsive isolation utilizes the differences in physical properties between CTCs and blood cells,while chemical isolation utilizes specific recognition mechanisms to capture the CTCs.These techniques result in low cell damage with a high specificity to facilitate further analysis.Currently,CTC detection has been applied for early diagnosis and prognostic assessment of multiple cancers including lung cancer,liver cancer,colorectal cancer,and prostate cancer.

Circulating tumor cells(CTCs)are cells that dissociate from the tumor tissue and enter the lymphatic system or bloodstream with close association with tumor metastasis and recurrence.CTCs contain complete pathological information,which can be extracted by isolation,enrichment,and analysis of the CTCs to guide cancer diagnosis and treatment,thereby significantly improving the monitoring efficiency and prognosis of cancer.Compared with tissue biopsy,liquid biopsy with CTCs as a biomarker enables specific and dynamic detection of tumor growth with a less painful experience.For detection of CTCs,the cells must be captured from body fluids,followed then by their release and enrichment.This review summaries the latest research progress in responsive isolation of CTCs(e.g.with light,dielectrophoresis,acoustophoresis and magnetophoresis),chemical isolation(specific molecules and topological structure)and responsive release(e.g.,light,electric,thermal,pH,enzyme responsiveness,and substrates break).Responsive isolation utilizes the differences in physical properties between CTCs and blood cells,while chemical isolation utilizes specific recognition mechanisms to capture the CTCs.These techniques result in low cell damage with a high specificity to facilitate further analysis.Currently,CTC detection has been applied for early diagnosis and prognostic assessment of multiple cancers including lung cancer,liver cancer,colorectal cancer,and prostate cancer.

Early-stage diagnosis of liver cancer is challenging, with an overall poor prognosis. The tumor microenvironment of primary liver cancer is complex, exhibiting significant heterogeneity both interpersonally and intratumorally. Therefore, it is of paramount importance to dynamically analyze biological markers in the tumor microenvironment of primary liver cancer in vivo. In recent years, significant progress has been made in the imaging diagnosis and treatment of liver cancer with the development of molecular imaging. Molecular imaging techniques utilize specific nano-imaging probes to evaluate pathological changes of liver cancer at the molecular and cellular levels in real-time. These techniques enable precise imaging to reveal key molecular biomarkers involved in the occurrence and progression of liver cancer, exploring their associations with cancer progression and outcomes. This article focuses on molecular imaging, emphasizing the current research status and latest advancements in the field of liver cancer diagnosis and therapy using techniques such as CT, MRI, optical imaging, PET imaging, and multimodal imaging. It also identifies important future directions and significant challenges for further development.

With the advent of an aging society,Alzheimer's disease(AD)has gradually become a major ailment affecting the elderly.AD is a neurodegenerative disorder associated with cognitive impairments.In AD patients,brain network connections are disrupted,and their topological properties are also affected,leading to the disintegration of anatomical and functional connections.Anatomical connections can be tracked and evaluated using structural magnetic imaging(MRI)and diffusion tensor imaging(DTI),while functional connections are detected through functional MRI to assess their connectivity status.This review incorporates the findings of previous scholars and summarizes the current research of AD.It mainly discusses the imaging characteristics of large-scale brain network changes in AD patients,so as to provide researchers with scientific and objective imaging markers for AD prediction and early diagnosis,as well as future research.

Objective:To study the changes in serum small molecule metabolites after brucella infection in humans using untargeted metabolomics methods, and screening representative biomarkers. Methods:A total of 109 serum samples collected from January 2019 to December 2021 at the Brucellosis Clinic of the Baotou Center for Disease Control and Prevention were divided into acute phase group ( n = 40), chronic phase group ( n = 35) of brucellosis, and healthy group ( n = 34) based on clinical diagnosis. Ultra-high performance liquid chromatography quadrupole time-of-flight mass spectrometry technology was used to test serum samples and screen for differential metabolites. Receiver operating characteristic curve was used to evaluate the predictive ability of differential metabolites for brucellosis. Enriched pathways were screened using Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway to identify metabolic pathways significantly affected. Results:A total of 17 differential metabolites were screened between the acute phase group and the healthy group, and 12 differential metabolites were screened between the chronic phase group and the healthy group. There were a total of 5 differential metabolites (oleamide, linoleamide, stearamide, palmitoleic acid, α-linolenic acid) statistically significant among the three groups ( F = 16.84, 17.52, 14.31, 13.01, 20.76, P < 0.05). KEGG pathway analysis showed that the differential metabolites in the acute phase group were enriched in metabolic pathways such as ether lipid metabolism, glycerophosphate metabolism, sphingolipid signal and sphingolipid metabolism. The differential metabolites in the chronic phase group were enriched in metabolic pathways such as glycerophosphate metabolism, ether lipid metabolism, protein digestion and absorption metabolism. Conclusion:Untargeted metabolomics methods can screen out serum small molecule metabolites that undergo changes after brucella infection in the human body, including oleamide, linoleamide, stearamide, palmitoleic acid, α-linolenic acid can serve as potential biomarkers to distinguish brucellosis patients from healthy people.

Objective To establish a multiplex assay method for the simultaneous detection of FluA and FluB virus(IBV)antigen based on the flow cytometry(FCM)quantum dot-encoded bead technologies,laying the foundation for the assay of multiple respiratory virus biomarkers.Methods Coupling was performed for FluA and FluB nucleoprotein(NP)monoclonal antibodies using self-made quantum dot-encoded beads,separately.FCM was used to detect known concentrations of FluA and FluB antigens separately and simultaneously,optimize the detection conditions,and establish a joint detection method for FluA and FluB antigens.Compared with the quantitative real-time PCR(qPCR)method,clinical samples were used to evaluate the clinical performance of this joint detection method.Results The joint detection method for FluA and FluB antigens was established,with detection limits of 26.1 pg/ml and 10.7 pg/ml,respectively,and measurement ranges of 15.3～250 000 pg/ml.The joint detection method for clinical sample evaluation was well correlated with the qPCR,with a positive coincidence rate of 57.4%,a negative coincidence rate of 100%,and a total coincidence rate of 71.6%.In addition,the joint detection method was superior to colloidal gold immunochromatographic strip assay commonly used in clinical practice(positive coincidence rate of 56.49%,negative coincidence rate of 99.75%).Conclusion The FCM quantum dot-encoded bead multiplex assay can be used for the joint detection of FluA and FluB antigens,which have a high sensitivity,good specificity and wide detection range.It may lay a good foundation for the multiplex detection of common respiratory viruses,and has clinical application prospects.

OBJECTIVE To know about the working mode and human resource status of pharmacy intravenous admixture services （PIVAS） in national medical institutions. METHODS Through questionnaire survey， the national PIVAS was invited to fill out questionnaire and statistical analysis was performed on the effective sample data related to PIVAS working mode and human resources in the questionnaire. RESULTS In this study， 761 PIVAS from 722 medical institutions of 29 provinces were involved in the questionnaire survey， with 471 valid questionnaires for working mode and 441 valid questionnaires for human resources survey. In terms of working mode， among 471 PIVAS， 292 PIVAS （62.0%） were in pharmacist-alone mode， and 176 PIVAS （37.4%） were in pharmacist-nurse cooperative mode； there was no significant difference in the types of medical orders received by PIVAS between these two working modes except for the other medical orders （P＞0.05）. In terms of human resource setting， among 441 PIVAS， the average number of total staff of single PIVAS was 24（16，33）， including 11（6，19） pharmacists， 7（2，13） nursing staff， and 3（1，5） workers； there was a statistically significant difference in the number of personnel among three groups （P＜ 0.01）. The per capita income of PIVAS respondents in 2019 was [7.9（4.8，10.7）]×104 yuan， and in 2021 it was [8.8（5.8，11.7）]× 104 yuan， with an increase of 9.0% compared to 2019. The difference between the two groups was statistically significant （P＜ 0.01）. CONCLUSIONS Medical institutions’ PIVAS in China had not fully implemented the pharmacist-alone work model， and some medical institutions had chosen a pharmacist-nurse cooperative mode. It is suggested that relevant departments formulate corresponding qualification requirements and training standards for nursing personnel as soon as possible based on sufficient research on PIVAS’s demand for nursing professionals.

OBJECTIVE To know about the pharmacy intravenous admixture charge and operation balance of pharmacy intravenous admixture services （PIVAS） in national medical institutions. METHODS Using questionnaire survey method， the national PIVAS leaders were invited to fill in the questionnaire， investigation and statistical analysis of the drug dispensing charge standard and the income and expenditure situations of PIVAS nationwide were conducted. RESULTS A total of 761 PIVAS completed the questionnaire， among which 466 PIVAS （61.2%） had already started implementing pharmacy intravenous admixture charge， mainly in tertiary hospitals. The charge standards for chemotherapy drugs and parenteral nutrition solutions were relatively high， while the standards for packaged drugs were the lowest， with differences in charge standards among provinces（P＜0.05）. Among the 25 provinces that reported annual drug preparation fee revenue， Hubei had the highest revenue in both 2019 and 2021. In 2019， the number of PIVAS with a balance of payments was more than that of PIVAS with an imbalance of payments， but the number of PIVAS with an imbalance of payments in 2021 exceeded the number of PIVAS with a balance of payments （P＜0.05）； among them， eight provinces were unbalanced in 2019 and 2021， such as Tianjin， Chongqing， Guizhou， etc. CONCLUSIONS PIVAS charge standards of the surveyed medical institutions in all provinces are not unified. It is suggested to improve the charge standard further， formulate the charge adjustment cycle， and promote a sustainable development of PIVAS.