Based upon the underlying mechanism and pathological evidence of tissue injury of antibody-mediated rejection (AMR) , four etiological and symptomatic therapies were proposed for managing AMR, including etiological treatment of AMR including antibody-targeting, B cell or plasma cell-targeting therapies; strategies for preventing antibody-mediated endothelial damage: an inhibition of complement/antibody dependent cell-mediated pathways; anticoagulant & thrombolytic therapies for thrombotic microangiopathy secondary to endothelial damage ; anti-inflammatory therapies for acute/chronic vascular inflammation secondary to endothelial damage. Etiological treatment is essential for preventing and treating AMR while symptomatic measures, such as anticoagulant, thrombolytic and antiinflammatory therapies, are stressed. Finally the authors devised therapeutic strategies for AMR in 4 different patient groups of non-sensitized allograft recipients, sensitized allograft recipients, individuals with active AMR and those with chronic active AMR.

Pancreatic cancer is a common malignant tumor in the digestive tract, and the difficulty of early diagnosis and the lack of effective treatment means are the main reasons for the poor prognosis of pancreatic cancer. In recent years, multidisciplinary treatment (MDT) has become an important means to break through the bottleneck of diagnosis and treatment of pancreatic cancer and improve clinical prognosis. Besides providing patients with high-quality diagnosis and treatment services, this treatment model helps to improve the clinical diagnosis and treatment level of specialists and cultivate high-quality compound medical talents. It also highlights clinical research groups and high-quality case resource sharing, and promotes the clinical application of innovative drugs and new diagnostic and therapeutic technologies, which plays an essential role in increasing the core competence of hospitals. This paper reviews and summarizes the origin, status quo, and deficiencies of the MDT diagnosis and treatment model of pancreatic cancer in China, and examines the prospects for future development, with the aim to provide reference for domestic and foreign counterparts.

To investigate the differences in postoperative short-term complications and long-term prognosis of pancreatic cancer(PC) patients after total pancreatectomy(TP) and pancreaticoduodenectomy(PD).

Objective:To establish and verify a diagnostic model for distinguishing multiple sclerosis (MS) from other neurological diseases with similar symptoms by usingcerebrospinal fluid oligoclonal band (CSF-OCB)combined with IgG intrathecal synthesis indicators and biochemical markers.Methods:Multiple sclerosis (MS) patients admitted to the Neurology Department of Beijing Tiantan Hospital affiliated with Capital Medical University from January 2014 to December 2022 were selected as the case group, while patients with similar neurological symptoms were selected as the control group. Using the case-control study design, a retrospective analysis was conducted on the detection of age, gender, oligoclonal bands in cerebrospinal fluid, IgG intrathecal synthesis indicators and biochemical indicators for all study subjects. The differential diagnosis model was determined by the multiple logistic regression analysis, and the receiver operating characteristic (ROC) curve was used to analyze the diagnostic efficiency of the differential diagnosis model for neurological diseases with similar symptoms to MS and other conditions.Results:This study included 167 patients in the case group and 335 patients in the control group, of which 128 patients in the case group and 265 patients in the control group were used to construct the model, and 39 patients in the case group and 70 patients in the control group were used for model validation. The differential diagnostic model constructed by a multivariate logistic regression model was Y=0.871×CSF-OCB-0.051×CSFprotein-0.231×CSFchloride+1.183×gender-0.036×LDH+35.770. The model showed that the area under the curve, sensitivity and specificity were respectively 0.916, 87.3% and 87.6%. The Delong test results showed that the diagnostic efficacy of the model was significantly different from OCB, IgG intrathecal synthesis indicators, and OCB combined with IgG intrathecal synthesis indicators ( P<0.05). The new model validation showed that the actual diagnostic consistency rate for the MS group was 84.6%, while the actual diagnostic consistency rate for the control group was 90.0%. Conclusion:This study combines OCB, IgG intrathecal synthesis indicators, and biochemical indicators to establish a diagnostic prediction model for neurological diseases with similar clinical symptoms in MS. This model may have good differential diagnostic value and can better assist clinical diagnosis in the early stages of disease progression in MS patients.

Objective:To establish and verify a diagnostic model for distinguishing multiple sclerosis (MS) from other neurological diseases with similar symptoms by usingcerebrospinal fluid oligoclonal band (CSF-OCB)combined with IgG intrathecal synthesis indicators and biochemical markers.Methods:Multiple sclerosis (MS) patients admitted to the Neurology Department of Beijing Tiantan Hospital affiliated with Capital Medical University from January 2014 to December 2022 were selected as the case group, while patients with similar neurological symptoms were selected as the control group. Using the case-control study design, a retrospective analysis was conducted on the detection of age, gender, oligoclonal bands in cerebrospinal fluid, IgG intrathecal synthesis indicators and biochemical indicators for all study subjects. The differential diagnosis model was determined by the multiple logistic regression analysis, and the receiver operating characteristic (ROC) curve was used to analyze the diagnostic efficiency of the differential diagnosis model for neurological diseases with similar symptoms to MS and other conditions.Results:This study included 167 patients in the case group and 335 patients in the control group, of which 128 patients in the case group and 265 patients in the control group were used to construct the model, and 39 patients in the case group and 70 patients in the control group were used for model validation. The differential diagnostic model constructed by a multivariate logistic regression model was Y=0.871×CSF-OCB-0.051×CSFprotein-0.231×CSFchloride+1.183×gender-0.036×LDH+35.770. The model showed that the area under the curve, sensitivity and specificity were respectively 0.916, 87.3% and 87.6%. The Delong test results showed that the diagnostic efficacy of the model was significantly different from OCB, IgG intrathecal synthesis indicators, and OCB combined with IgG intrathecal synthesis indicators ( P<0.05). The new model validation showed that the actual diagnostic consistency rate for the MS group was 84.6%, while the actual diagnostic consistency rate for the control group was 90.0%. Conclusion:This study combines OCB, IgG intrathecal synthesis indicators, and biochemical indicators to establish a diagnostic prediction model for neurological diseases with similar clinical symptoms in MS. This model may have good differential diagnostic value and can better assist clinical diagnosis in the early stages of disease progression in MS patients.

Objective To compare the differences in efficacy and safety between transarterial chemoembolization(TACE)com-bined with lenvatinib and camrelizumab(triple therapy)and TACE combined with lenvatinib(double therapy)in intermediate or advanced stage hepatocellular carcinoma(HCC).Methods The clinical data of 145 patients who were diagnosed with HCC and received triple therapy or double therapy were retrospectively collected.The differences of objective response rate(ORR),disease control rate(DCR),median progression-free survival(mPFS),median overall survival(mOS),and adverse events were compared between the two groups.Results The ORR and DCR in 1,3 and 6 months of the triple therapy group were higher than those of the double therapy group,and the differences were statistically significant in 3 and 6 months.The mPFS and mOS of the triple therapy group were higher than those of the double therapy group,and the differences were statistically significant.The Cox proportional hazards model results showed that the therapy methods,maximum tumor diameter and alpha-fetoprotein(AFP)were independent risk factors of progres-sion-free survival(PFS)and overall survival(OS).Besides,Barcelona Clinic Liver Cancer(BCLC)staging was independent risk fac-tor of OS.In terms of adverse events,the incidence of reactive cutaneous capillary endothelial proliferation(RCCEP)and hypothy-roidism in the triple therapy group were higher than those in the double therapy group,and the differences were statistically signifi-cant.Conclusion Compared with double therapy,triple therapy can significantly improve the efficacy of intermediate or advanced stage HCC,prolong patients'PFS and OS,and its safety can be well controlled.

Objective:To evaluate the efficacy of plasma exchange and drugs in the treatment of hypertriglyceridemic pancreatitis (HTGP).Methods:Plasma exchange, exchange plasma,exchanges plasma, plasma or plasma exchanges, acute pancreatitis were used as keywords for research search, and the network English database such as PubMed, Embase, Cochrane Library were searched from database establishment to May 31, 2022. The prospective and retrospective cohort studies on plasma exchange and drugs in the treatment of HTGP were retrieved. The papers were screened and the quality was evaluated according to preset inclusion and exclusion criteria; and the important data were extracted. Meta-analysis was performed using RevMan5.3 software.Results:A total of 11 papers with 819 patients were included. Among them, 285 patients received plasma exchange, and 534 patients received drug treatment. The results of meta-analysis showed that plasma exchange decreased triglyceride faster than drug therapy ( OR=5.28, 95% CI 0.92-9.63, P<0.05), but plasma exchange was comparable to drug therapy on the incidence of pancreatic pseudocysts, pancreatic necrosis, acute renal failure, acute respiratory failure and shock, and mortality ( OR=0.54, 95% CI 0.23-1.29; OR=1.23, 95% CI 0.62-2.43; OR=0.85, 95% CI 0.25-2.91; OR=0.84, 95% CI 0.25-2.79; OR=0.64, 95% CI 0.31-1.34, OR=1.29, 95% CI 0.72-2.30; all P value >0.05), and patients with plasma exchange had longer hospital stays ( OR=2.09, 95% CI 0.10-4.08, P<0.05). Conclusions:Compared with drug therapy, plasma exchange can not reduce the mortality and complications of HTGP patients.

Background/Aims: Necrotizing pancreatitis (NP) presents a more severe clinical trajectory and increased mortality compared to edematous pancreatitis. Prompt identification of NP is vital for patient prognosis. A risk prediction model for NP among Chinese patients has been developed and validated to aid in early detection. Methods: A retrospective analysis was performed on 218 patients with acute pancreatitis (AP) to examine the association of various clinical variables with NP. The least absolute shrinkage and selection operator (LASSO) regression was utilized to refine variables and select predictors. Subsequently, a multivariate logistic regression was employed to construct a predictive nomogram. The model's accuracy was validated using bootstrap resampling (n=500) and its calibration assessed via a calibration curve. The model's clinical utility was evaluated through decision curve analysis. Results: Of the 28 potential predictors analyzed in 218 AP patients, the incidence of NP was 25.2%. LASSO regression identified 14 variables, with procalcitonin, triglyceride, white blood cell count at 48 hours post-admission, calcium at 48 hours post-admission, and hematocrit at 48 hours post-admission emerging as independent risk factors for NP. The resulting nomogram accurately predicted NP risk with an area under the curve of 0.822, sensitivity of 82.8%, and specificity of 76.4%. The bootstrap-validated area under the curve remained at 0.822 (95% confidence interval, 0.737 to 0.892). This model exhibited excellent calibration and demonstrated greater predictive efficacy and clinical utility for NP than APACHE II, Ranson, and BISAP. Conclusions We have developed a prediction nomogram of NP that is of great value in guiding clinical decision.

Pharmacoeconomic evaluation is the essential supporting information for the inclusion of rare disease drugs into medical insurance in China. The accurate measurement of the health state utility of rare diseas is of practical significance to the development of rare disease pharmacoeconomic evaluation. Based on the review of pharmacoeconomic evaluation requirements for rare diseases in some countries/regions, we systematically retrieved the published studies on the measurement of health state utility for 121 rare diseases in China and other countries and regions. We identified 17 591 papers in the initial review, and later selected 230 after screening. We also made a comprehensive analysis of the quality of literature, evaluation content and use of tools for measuring health state utility in rare diseases in China. Finally, we analyzed the challenges in measurement in terms of population, instruments use, and application of results and made recommendations based on analysis, hoping to provide reference for the development of rare disease health state utility measurement studies in China.

Bone defects caused by different causes such as trauma, severe bone infection and other factors are common in clinic and difficult to treat. Usually, bone substitutes are required for repair. Current bone grafting materials used clinically include autologous bones, allogeneic bones, xenografts, and synthetic materials, etc. Other than autologous bones, the major hurdles of rest bone grafts have various degrees of poor biological activity and lack of active ingredients to provide osteogenic impetus. Bone marrow contains various components such as stem cells and bioactive factors, which are contributive to osteogenesis. In response, the technique of bone marrow enrichment, based on the efficient utilization of components within bone marrow, has been risen, aiming to extract osteogenic cells and factors from bone marrow of patients and incorporate them into 3D scaffolds for fabricating bone grafts with high osteoinductivity. However, the scientific guidance and application specification are lacked with regard to the clinical scope, approach, safety and effectiveness. In this context, under the organization of Chinese Orthopedic Association, the Expert consensus for the clinical application of autologous bone marrow enrichment technique for bone repair ( version 2023) is formulated based on the evidence-based medicine. The consensus covers the topics of the characteristics, range of application, safety and application notes of the technique of autologous bone marrow enrichment and proposes corresponding recommendations, hoping to provide better guidance for clinical practice of the technique.