Objective:To investigate the efficacy of fibrosis-4 index (FIB-4), NAFLD fibrosis score (NFS), aspartate aminotransferase to platelet count ratio (APRI), liver stiffness value (LSM), and Agile 3+ score and their combined model in predicting advanced-stage liver fibrosis in patients with chronic hepatitis B (CHB) combined with metabolic-associated fatty liver disease (MAFLD).Methods:A multicenter retrospective cohort study was conducted on the BMOVE population.Nine hundred twenty CHB cases combined with MAFLD who underwent liver biopsy at seven medical centers in China from April 2006 to December 2023 were included. The patients were divided into advanced-stage liver fibrosis (159 cases) and non-advanced-stage liver fibrosis (761 cases) according to the Scheuer's scoring system.The area under the receiver operating characteristic curve (AUROC), decision curve, and calibration curve analysis were used to evaluate the efficacy of the firbrosis-4 index (FIB-4) score, NFS score, APRI index, LSM, and Agile 3+ score and their combined model in predicting advanced-stage fibrosis. The liver fibrosis grade of all patients was diagnosed by liver biopsy. The sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) of each scoring model and combined model, as well as the proportion of correctly classified patients, were calculated based on different cutoff values.Results:AUROC analysis showed that Agile 3+ (0.814, 95% CI: 0.787-0.838) and LSM (0.805, 95% CI: 0.778-0.829) had similar accuracy and were superior to FIB-4 (0.721, 95% CI: 0.691-0.749), NFS (0.687, 95% CI: 0.656-0.716) and APRI ( 0.689, 95% CI: 0.658-0.718); however, HBV DNA level and HBV e antigen status had no effect on this outcome. Decision curve analysis showed that interventions based on LSM and Agile 3+ had provided higher net benefits compared with serological scores. Calibration curves showed that Agile 3+ had better predicitive accuracy than all other models. Agile 3+ had the highest PPV (0.54), minimal uncertainty interval (11.6%), and the highest proportion of correctly classified patients (76%); followed by LSM (PPV: 0.43, uncertainty interval: 15.5%, correct classification rate: 66%), and FIB-4 (PPV: 0.42, uncertainty interval: 26.1%, correct classification rate: 62.6%) in terms of identifying advanced-stage liver fibrosis. Combined model analysis demonstrated that FIB-4 combined with Agile 3+ had improved the correct classification rate and reduced the proportion of missed patients compared with FIB-4 combined with LSM. Conclusion:The Agile 3+ score is superior than LSM, FIB-4, NFS, and APRI index at identifying advanced-stage fibrosis in patients with CHB combined with MAFLD. This study supports the use of FIB-4 index combined with Agile 3+ for risk stratification in patients with CHB combined with MAFLD.

Objective To analyze the clinical research literature of in vitro fertilization and embryo transfer(IVF-ET)failure,and summarize the traditional Chinese medicine(TCM)syndromes and syndrome elements,so as to provide theoretical basis for TCM syndrome differentiation and treatment of IVF-ET failure.Methods Using"in vitro fertilization and embryo transfer""IVF-ET"and"embryo transfer failure"as search terms,the literature related to TCM that had appeared in CNKI and Wanfang Data Knowledge Service Platform were searched since these database was constructed.After excluding irrelevant literature,statistical analysis was performed on the frequency and frequency of symptoms and signs.Results Kidney Yang deficiency,kidney deficiency,blood stasis,kidney Yin deficiency and liver qi stagnation were the common syndroms of failure.The disease location with high frequency of syndrome elements was kidney,and the disease was blood stasis.Conclusion Kidney-Yang deficiency syndrome is the most common type of failure,and TCM disease location syndrome is the most common in kidney.The disease deficiency is mostly Yang deficiency,and the excess is mostly blood stasis.

OBJECTIVE To systematically evaluate the efficacy and safety of tislelizumab in the treatment of advanced non- small cell lung cancer （NSCLC）. METHODS Computerized searches were conducted in PubMed， Embase， the Cochrane Library， CNKI， Wanfang and other Chinese and English databases to collect randomized controlled trials （RCTs） on tislelizumab for advanced NSCLC. The search period was from the establishment of the databases to December 2024. After strictly screening the literature， extracting data and conducting quality evaluations in accordance with the inclusion and exclusion criteria， a meta-analysis was performed using RevMan 5.3 and Stata 16.0 software. RESULTS A total of 18 RCTs involving 2 337 patients were included， with 1 283 in the experimental group and 1 054 in the control group. The meta-analysis results showed that the objective response rate [RR＝1.61， 95%CI （1.48， 1.75）， P＜0.000 01]， disease control rate [RR＝1.21， 95%CI （1.13， 1.29）， P＜0.000 01]， progression free survival [HR＝0.55， 95%CI （0.45， 0.66）， P＜0.000 01]， and overall survival [HR＝0.78， 95%CI（0.62， 0.97）， P＝0.03] were significantly better in the experimental group than in the control group. There was no statistically significant difference in the incidence of adverse reactions between the two groups [RR＝1.00， 95%CI （0.73， 1.37）， P＝1.00]； among the common adverse reactions， only the incidence of liver function impairment was significantly higher in the experimental group than in the control group [RR＝1.30， 95%CI （1.10， 1.54）， P＜0.01]. CONCLUSIONS Tislelizumab in combination with chemotherapy or targeted drugs significantly improves the efficacy in patients with advanced NSCLC without increasing the risk of adverse reactions overall. However， liver function should be closely monitored during treatment.

Objective:To investigate the clinical characteristics and prognosis of acute pancreatitis (AP) with different etiologies.Methods:The retrospective cohort study was conducted. The clinical data of 702 patients with AP who were admitted to Xuanwu Hospital of Capital Medical University from January 2018 to December 2022 were collected. There were 451 males and 251 females,aged (52±17)years. Observation indicators: (1) clinical characteristics of AP patients with different etiologies; (2) complications and prognosis of AP patients with different etiologies; (3) complications and prognosis of moderately severe and severe AP patients with different etiologies. Comparison of measurement data with normal distribution among multiple groups was conducted using the one-way analysis of variance. Comparison of measurement data with skewed distribution among multiple groups was conducted using the Kruskal-Wallis H test. Comparison of count data among multiple groups was conducted using the chi-square test. Results:(1) Clinical characteris-tics of AP patients with different etiologies. Of the 702 AP patients, 434 cases were biliary AP, 199 cases were hypertriglyceridemic-induced AP,29 cases were alcoholic AP, and 40 cases were idiopathic AP. There were significant differences in gender,age,body mass index,combined cardiovascular disease,combined diabetes,combined nephrosis,disease severity and modified computed tomography severity index among AP patients with different etiologies ( χ2=24.61, F=48.65, 12.24, χ2=13.67, 12.90, 14.12, 15.56, H=17.62, P<0.05). (2) Complications and prognosis of AP patients with different etiologies. There was no significant difference in infectious pancreatic necrosis,duration of intensive care unit stay,total duration of hospital stay, and death of patients during hospitalization among AP patients with different etiologies ( P>0.05). (3) Complications and prognosis of moderately severe and severe AP patients with different etiologies. Of the 395 patients with moderately severe and severe AP, 217 cases were biliary AP, 128 cases were hypertriglyceridemic-induced AP, 19 cases were alcoholic AP, and 31 cases were idiopathic AP. There were significant differences in renal injury, multiple organ dysfunction syndrome and walled-off necrosis among moderately severe and severe AP patients with different etiologies ( χ2=12.62, 8.25, 14.33, P<0.05), and there was no significant difference in infectious pancreatic necrosis, lung injury, circulation system injury, duration of intensive care unit stay, total duration of hospital stay, or death of patients during hospitalization among moderately severe and severe AP patients with different etiologies ( P>0.05). Conclusions:The clinical charac-teristics vary among AP patients with different etiologies. The risk of complications varies among moderately severe and severe AP patients with different etiologies.

Objective:To investigate the clinical characteristics and prognosis of acute pancreatitis (AP) with different etiologies.Methods:The retrospective cohort study was conducted. The clinical data of 702 patients with AP who were admitted to Xuanwu Hospital of Capital Medical University from January 2018 to December 2022 were collected. There were 451 males and 251 females,aged (52±17)years. Observation indicators: (1) clinical characteristics of AP patients with different etiologies; (2) complications and prognosis of AP patients with different etiologies; (3) complications and prognosis of moderately severe and severe AP patients with different etiologies. Comparison of measurement data with normal distribution among multiple groups was conducted using the one-way analysis of variance. Comparison of measurement data with skewed distribution among multiple groups was conducted using the Kruskal-Wallis H test. Comparison of count data among multiple groups was conducted using the chi-square test. Results:(1) Clinical characteris-tics of AP patients with different etiologies. Of the 702 AP patients, 434 cases were biliary AP, 199 cases were hypertriglyceridemic-induced AP,29 cases were alcoholic AP, and 40 cases were idiopathic AP. There were significant differences in gender,age,body mass index,combined cardiovascular disease,combined diabetes,combined nephrosis,disease severity and modified computed tomography severity index among AP patients with different etiologies ( χ2=24.61, F=48.65, 12.24, χ2=13.67, 12.90, 14.12, 15.56, H=17.62, P<0.05). (2) Complications and prognosis of AP patients with different etiologies. There was no significant difference in infectious pancreatic necrosis,duration of intensive care unit stay,total duration of hospital stay, and death of patients during hospitalization among AP patients with different etiologies ( P>0.05). (3) Complications and prognosis of moderately severe and severe AP patients with different etiologies. Of the 395 patients with moderately severe and severe AP, 217 cases were biliary AP, 128 cases were hypertriglyceridemic-induced AP, 19 cases were alcoholic AP, and 31 cases were idiopathic AP. There were significant differences in renal injury, multiple organ dysfunction syndrome and walled-off necrosis among moderately severe and severe AP patients with different etiologies ( χ2=12.62, 8.25, 14.33, P<0.05), and there was no significant difference in infectious pancreatic necrosis, lung injury, circulation system injury, duration of intensive care unit stay, total duration of hospital stay, or death of patients during hospitalization among moderately severe and severe AP patients with different etiologies ( P>0.05). Conclusions:The clinical charac-teristics vary among AP patients with different etiologies. The risk of complications varies among moderately severe and severe AP patients with different etiologies.

Objective To analyze the clinical research literature of in vitro fertilization and embryo transfer(IVF-ET)failure,and summarize the traditional Chinese medicine(TCM)syndromes and syndrome elements,so as to provide theoretical basis for TCM syndrome differentiation and treatment of IVF-ET failure.Methods Using"in vitro fertilization and embryo transfer""IVF-ET"and"embryo transfer failure"as search terms,the literature related to TCM that had appeared in CNKI and Wanfang Data Knowledge Service Platform were searched since these database was constructed.After excluding irrelevant literature,statistical analysis was performed on the frequency and frequency of symptoms and signs.Results Kidney Yang deficiency,kidney deficiency,blood stasis,kidney Yin deficiency and liver qi stagnation were the common syndroms of failure.The disease location with high frequency of syndrome elements was kidney,and the disease was blood stasis.Conclusion Kidney-Yang deficiency syndrome is the most common type of failure,and TCM disease location syndrome is the most common in kidney.The disease deficiency is mostly Yang deficiency,and the excess is mostly blood stasis.

Objective:To investigate the efficacy of fibrosis-4 index (FIB-4), NAFLD fibrosis score (NFS), aspartate aminotransferase to platelet count ratio (APRI), liver stiffness value (LSM), and Agile 3+ score and their combined model in predicting advanced-stage liver fibrosis in patients with chronic hepatitis B (CHB) combined with metabolic-associated fatty liver disease (MAFLD).Methods:A multicenter retrospective cohort study was conducted on the BMOVE population.Nine hundred twenty CHB cases combined with MAFLD who underwent liver biopsy at seven medical centers in China from April 2006 to December 2023 were included. The patients were divided into advanced-stage liver fibrosis (159 cases) and non-advanced-stage liver fibrosis (761 cases) according to the Scheuer's scoring system.The area under the receiver operating characteristic curve (AUROC), decision curve, and calibration curve analysis were used to evaluate the efficacy of the firbrosis-4 index (FIB-4) score, NFS score, APRI index, LSM, and Agile 3+ score and their combined model in predicting advanced-stage fibrosis. The liver fibrosis grade of all patients was diagnosed by liver biopsy. The sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) of each scoring model and combined model, as well as the proportion of correctly classified patients, were calculated based on different cutoff values.Results:AUROC analysis showed that Agile 3+ (0.814, 95% CI: 0.787-0.838) and LSM (0.805, 95% CI: 0.778-0.829) had similar accuracy and were superior to FIB-4 (0.721, 95% CI: 0.691-0.749), NFS (0.687, 95% CI: 0.656-0.716) and APRI ( 0.689, 95% CI: 0.658-0.718); however, HBV DNA level and HBV e antigen status had no effect on this outcome. Decision curve analysis showed that interventions based on LSM and Agile 3+ had provided higher net benefits compared with serological scores. Calibration curves showed that Agile 3+ had better predicitive accuracy than all other models. Agile 3+ had the highest PPV (0.54), minimal uncertainty interval (11.6%), and the highest proportion of correctly classified patients (76%); followed by LSM (PPV: 0.43, uncertainty interval: 15.5%, correct classification rate: 66%), and FIB-4 (PPV: 0.42, uncertainty interval: 26.1%, correct classification rate: 62.6%) in terms of identifying advanced-stage liver fibrosis. Combined model analysis demonstrated that FIB-4 combined with Agile 3+ had improved the correct classification rate and reduced the proportion of missed patients compared with FIB-4 combined with LSM. Conclusion:The Agile 3+ score is superior than LSM, FIB-4, NFS, and APRI index at identifying advanced-stage fibrosis in patients with CHB combined with MAFLD. This study supports the use of FIB-4 index combined with Agile 3+ for risk stratification in patients with CHB combined with MAFLD.

Objective:To investigate the influencing factors for splenomegaly secondary to acute pancreatitis (AP) and construction of a nomogram prediction model.Methods:The retrospective case-control study was conducted. The clinicopathological data of 180 patients with AP who were admitted to Xuanwu Hospital of Capital Medical University from December 2017 to December 2021 were collected. There were 124 males and 56 females, aged (49±15) years. Among them, 60 AP patients who developed secondary splenomegaly were taken as the case group, including 48 males and 12 females, aged (47±13)years, and the rest of 120 cases of AP without secondary splenomegaly were taken as the control group, including 76 males and 44 females, aged (50±16)years. Observation indicators: (1) occurrence and clinical characteristics of splenomegaly secondary to AP; (2) influencing factors for splenomegaly secondary to AP; (3) construction and evaluation of a nomogram prediction model for splenomegaly secondary to AP. Measurement data with normal distribution were represented as Mean± SD, and comparison between groups was analyzed using the t test. Measurement data with skewed distribution were represented as M( Q1, Q3), and comparison between groups was analyzed using the rank sum test. Count data were represented as absolute numbers, and comparison between groups was analyzed using the chi-square test or Fisher exact probability. The univariate analysis was performed using statistical methods appropriate to the data type. The optimal cut-off value was determined by the receiver operating characteristic curves. Multivariate analysis was conducted using the Logistic regression model with forward method. Based on the results of the multivariate analysis, a nomogram prediction model was constructed. The receiver operating characteristic curve was drawn, and the discrimination was evaluated using the area under curve. The consistency of the nomogram prediction model was evaluated using calibration curve, and its clinical benefit was evaluated using decision curve. Results:(1) Occurrence and clinical characteristics of splenomegaly secondary to AP. The first detection time of 60 patients with splenomegaly secondary to AP was 60(30,120)days after the onset of AP. Cases with persistent respiratory dysfunction, multiple organ failure, severity of illness as mild or moderately severe/severe, pancreatic and/or peripancreatic infection, surgery were 19, 17, 4, 56, 37, 32 for 60 patients with splenomegaly secondary to AP, versus 16, 19, 43, 77, 39, 29 for 120 patients without splenomegaly secondary to AP, respectively, showing significant differences in the above indicators between the two groups ( χ2=8.58, 3.91, 17.64, 13.95, 15.19, P<0.05). (2) Influencing factors for splenomegaly secondary to AP. Resuts of multivariate analysis showed that white blood cell count <5.775×10?/L within 24 hours of AP onset, revised computed tomography (CT) severity index >7 in 3-7 days after onset and the presence of local complications were independent risk factors influencing the splenomegaly secondary to AP ( odds ratio=3.85, 2.86, 6.40, 95% confidence interval as 1.68-8.85, 1.18-6.95, 1.56-26.35, P<0.05). (4) Construction and evaluation of a nomogram prediction model for splenomegaly secondary to AP. The nomogram prediction model was constructed based on white blood cell count within 24 hours of AP onset, revised CT severity index in 3-7 days after onset and local complications. The area under the receiver operating characteristic curve of the nomogram prediction model was 0.76 (95% confidence interval as 0.69-0.83, P<0.05), with a sensitivity of 0.87 and a specificity of 0.55. The calibration curve demonstrated consistency between the predicted rate from the nomogram prediction model and the actually observed rate. The decision curve analysis indicated that the nomogram prediction model had favorable clinical practicability. Conclusions:Patients with AP who develop secondary splenomegaly tend to have a higher severity of illness than those develop no secondary splenomegaly. White blood cell count <5.775×10?/L within 24 hours of AP onset, revised CT severity index >7 in 3-7 days after onset and presence of local complications are independent risk factors influencing splenomegaly secondary to AP, and its nomogram prediction model can predict incidence rate of splenomegaly secondary to AP.

Objective:To investigate the influence of Kruppel-like factor 16 (KLF16) on the proliferation and migration of pancreatic cancer cells.Methods:Immunohistochemical images of KLF16 were collected from 171 pancreatic cancer tissues and their matched paracarcinoma normal pancreas tissues and 8 pancreatic cancer tissues only in GEPIA database. The expression of KLF16 protein was detected by immunohistochemical imaging software. The protein and mRNA expressions of pancreatic cancer cell lines AsPC-1 and MIA PaCa-2 KLF16 were detected by Western blot and quantitative fluorescence PCR. By knockdown or exogenous overexpression of KLF16, the two cells were divided into blank control group (NC group), negative control group (siRNA-NC group), downexpression KLF16 group (siKLF16 group), overexpression control group (OE-NC group) and ovexpression KLF16-OE group (KLF16-OE group). CCK-8 assay, colony formation assay and transwell chamber were used to detect cell proliferation and migration.Results:The KLF16 protein expression level (4.02±1.26 vs 1.73±1.07) and positive expression rate (91.6% vs 13.5%) in pancreatic cancer tissues were significantly higher than those in paracancer normal pancreas tissues, with statistical significance ( P<0.05). After downregulating KLF16 expression and culturing for 24, 48, 72, and 96 hours, the A450 values of both AsPC-1 (0.19±0.02 vs 0.23±0.03, 0.24±0.06 vs 0.36±0.06, 0.45±0.09 vs 0.78±0.10, 0.69±0.04 vs 0.88±0.07) and MIA PaCa-2 cells (0.20±0.03 vs 0.22±0.02, 0.29±0.05 vs 0.31±0.04, 0.47±0.06 vs 0.78±0.10, 0.71±0.02 vs 0.90±0.07) and colony counts [(36±4.32) per well vs (118.51±10.01) per well, (13.6±2.62) per well vs (83.1±9.11) per well], and the number of migrated cells [(16.67±2.05) vs (46.67±5.91), (19.67±1.69) vs (55±4.89)] all decreased significantly. However, after up-regulating the expression of KLF16 and culturing for 24, 48, 72 and 96 h, the A450 value of both AsPC-1 (0.21±0.05 vs 0.20±0.04, 0.48±0.03 vs 0.31±0.04, 0.91±0.09 vs 0.72±0.03, 1.28±0.10 vs 1.05±0.02) and MIA PaCa-2 cells (0.20±0.01 vs 0.19±0.05, 0.44±0.03 vs 0.30±0.04, 0.89±0.06 vs 0.72±0.03, 1.19±0.05 vs 1.01±0.10), and the number of cell colonies [(189±6.37)/per hole vs (108±9.62)/ per hole, (141±12.56)/ per hole vs (80.69±10.32)/ per hole]], migration cell numbers [(79±4.89) per hole vs (50.33±4.11) per hole, (79.66±3.85) per hole vs (51±4.08) per hole] all increased significantly. Conclusions:KLF16 is highly expressed in pancreatic cancer. The up-regulated expression of KLF16 in pancreatic cancer cell lines can promote the proliferation and migration of pancreatic cancer cells.

Objective To review the research of self-management intervention in patients with hematopoietic stem cell transplantation,clarify the intervention elements,so as to provide references for clinical practice and future related research.Methods According to the scoping review framework,a literature search was performed in the PubMed,Embase,CINAHL,Web of Science,Cochrane Library,CNKI,Wan fang Database,VIP,CBMdisc for all the studies on self-management intervention of patients with hematopoietic stem cell transplantation.The retrieval time was from the establishment of the database to December,2022.There were 2 researchers who extracted and analyzed the data of the included literature.Results A total of 12 articles were included,including 3 randomized controlled trials,8 quasi-experimental studies,and 1 mixed study.6 studies were conducted with interventions based on the theoretical basis or nursing model such as self-management oriented 5A nursing model,continuous nursing model,problem-based learning theory.The intervention methods of 12 studies included nurse-led self-management guidance,mobile applications,multidisciplinary collaboration,and graphic cards.The intervention time was mostly 1～3 months.The outcome indicators included feasibility evaluation indicators such as operability,ease of use,and user satisfaction of the application,and effect evaluation indicators such as self-management ability,quality of life,and medication compliance of patients.The results showed that self-management interventions could improve patient self-management ability,quality of life,medication compliance,and improve their psychological and nutritional status.Conclusion The research on self-management intervention in patients with hematopoietic stem cell transplantation is still in the development stage,and its positive effect has been preliminarily verified.Medical staff should strengthen the self-management evaluation of patients with hematopoietic stem cell transplantation,play the role of multidisciplinary team,use electronic health intervention methods,and formulate multi-level,scientific and effective self-management intervention programs.