Objective:To explore the significance of coagulation and platelet function analysis (Sonoclot) in monitoring coagulation function, severity evaluation and blood transfusion indication of perioperative liver transplant (LT) recipients.Methods:A total of 95 perioperative LT recipients received Sonoclot, thromboelastography (TEG), routine coagulation panel, liver function panel, blood routine, acute physiology and chronic health evaluation Ⅱ (APACHE Ⅱ) scoring and model for end-stage liver disease (MELD) scoring between January 2021 and October 2022.The correlation analysis of the above parameters was performed.According to the scores of APACHE Ⅱ and MELD, they were assigned into three groups of low-risk, medium-risk and high-risk.The levels of Sonoclot parameters in each group were compared.They were divided into two groups of transfusion (n=31) and non-transfusion (n=64) according to the necessity or non-necessity of transfusion..The risk factors for blood transfusion were examined by Logistic regression and receiver operating characteristic (ROC) curve.Results:Pearson's correlation analysis indicated that activated clotting time (ACT) value was correlated positively with the levels of prothrombin time (PT), prothrombin time ratio (PTR), international standard ratio (INR), R/K value, alanine aminotransferase (ALT), aspartate aminotransferase (AST) and lactic dehydrogenase (LDH)( r=0.279 1, P=0.006 2; r=0.280 2, P=0.006 5; r=0.3, P=0.003 5; r=0.642 8, P<0.000 1; r=0.452 8, P<0.000 1; r=0.377 6, P=0.002; r=0.349 6, P=0.000 6; r=0.271 4, P=0.018 3) and yet negatively with the levels of platelet (PLT), MA, CI and α ( r=-0.339 1, P=0.000 8; r=-0.573 3, P<0.000 1; r=-0.656 3, P<0.000 1; r=-0.632 6, P<0.000 1); CR value was correlated positively with the levels of maximal amplitude (MA), coagulation index (CI), α and ALT ( r=0.466 8, P=0.000 6; r=0.482 7, P=0.000 4; r=0.514 8, P=0.000 1; r=0.229 2, P=0.027 1) and yet negatively with the level of R/K value ( r=-0.366 9, P=0.010 3; r=-0.356 9, P=0.011 0); platelet function (PF) value was correlated positively with the levels of PLT, MA, CI, α and alkaline phosphatase (ALP)( r=0.481 9, P<0.000 1; r=0.630 7, P<0.000 1; r=0.623 5, P<0.000 1; r=0.593 0, P<0.000 1; r=0.223 1, P=0.032 5) and yet negatively with the level of R/K value ( r=-0.421 5, P=0.002 8; r=-0.530 7, P<0.000 1). CR value was correlated negatively with APACHE Ⅱ score ( r=-0.212 3, P=0.038 9) while ACT value was correlated positively with MELD score ( r=0.244, P=0.04). ACT values spiked in low, middle and high-risk groups of APACHE Ⅱ and MELD scores while PF value declined gradually by grouping these recipients based upon scoring systems.CR values decreased merely in MELD score.Logistic regression analysis indicated that ACT was a risk factor for necessity of blood transfusion in perioperative LT recipients ( OR=1.010, 95% CI 1.000-1.019, P<0.05). The maximal area under the curve of ROC curve analysis plus ACT, hemoglobin (Hb) and hematocrit (Hct) was 0.896. Conclusions:Sonoclot parameters of perioperative LT recipients have some certain correlation with thromboelastographic and conventional coagulation parameters.Both may serve as a supplementary means.Associated with liver function parameters and liver scores, Sonoclot parameters are significant for early clinical evaluations.Sonoclot parameters plus Hb/Hct detection have some guiding significance for perioperative LT recipients with necessity for blood transfusion and blood products.

Cylindromatosis gene is a kind of tumor suppressor genes, whose mutation or deletion will lead to the development of a cylindrical tumor. The deubiquitinating enzyme CYLD protein encoded by it is a member of the deubiquitinating enzyme family. CYLD alters the function of the target molecules by removing the ubiquitin chain linked to the substrate protein K63, and participates in the regulation of signaling pathways, such as NF-κB, JNK and Wnt. This article reviews the recent year’s research progress of CYLD, especially its negative regulatory role in the progression of liver-related diseases.

Acute respiratory distress syndrome (ARDS) is a serious threat to human life and health disease, with acute onset and high mortality. The current diagnosis of the disease depends on blood gas analysis results, while calculating the oxygenation index. However, blood gas analysis is an invasive operation, and can't continuously monitor the development of the disease. In response to the above problems, in this study, we proposed a new algorithm for identifying the severity of ARDS disease. Based on a variety of non-invasive physiological parameters of patients, combined with feature selection techniques, this paper sorts the importance of various physiological parameters. The cross-validation technique was used to evaluate the identification performance. The classification results of four supervised learning algorithms using neural network, logistic regression, AdaBoost and Bagging were compared under different feature subsets. The optimal feature subset and classification algorithm are comprehensively selected by the sensitivity, specificity, accuracy and area under curve (AUC) of different algorithms under different feature subsets. We use four supervised learning algorithms to distinguish the severity of ARDS (P/F ≤ 300). The performance of the algorithm is evaluated according to AUC. When AdaBoost uses 20 features, AUC = 0.832 1, the accuracy is 74.82%, and the optimal AUC is obtained. The performance of the algorithm is evaluated according to the number of features. When using 2 features, Bagging has AUC = 0.819 4 and the accuracy is 73.01%. Compared with traditional methods, this method has the advantage of continuously monitoring the development of patients with ARDS and providing medical staff with auxiliary diagnosis suggestions.
Algorithms ; Area Under Curve ; Blood Gas Analysis ; Humans ; Machine Learning ; Monitoring, Physiologic ; methods ; ROC Curve ; Respiratory Distress Syndrome, Adult ; diagnosis ; Sensitivity and Specificity

OBJECTIVETo investigate the feature of underlying disorders, clinical symptoms, diagnosis and treatment strategies of patients with acquired hemophilia(AH).

METHODSThe clinical data and laboratory tests results of 22 patients with AH from March 2010 to June 2014 were retrospectively analyzed.

RESULTSA total of 22 patients with AH were enrolled in our study, including 20 patients diagnosed as acquired hemophilia A (AHA) and 2 as acquired hemophilia B (AHB). Among the AHA patients, there were 10 males and 10 females with the median age of 37.5 (range, 2-95) years old. The median activity of FVIII (FVIII:C) of the 20 AHA patients was 1.9% (0.5%-39.0%). Soft tissue hematoma (80.0%) and subcutaneous bleeding (75.0%) were the most common clinical symptoms. Two male children were diagnosed as AHB (age 1 and 3 years old, respectively) with mild bleeding symptoms, and the activities of FIX (FIX:C) were 5.0% and 16.0%, respectively. In addition, an underlying disorder was found in 7 patients (31.8%). In laboratory testing, all patients had prolonged APTT, normal PT, decreased FVIII:C or FIX:C, positive antibody screening test or antibody titer (2-32 BU), and negative for lupus anticoagulant and anticardiolipin antibody. Nineteen out of 20 patients were treated with blood products to stop acute bleeding episodes. Corticosteroid alone was applied to 7 patients, corticosteroid combined with other immunosuppressive agents to 11 patients, rituximab to 3 patients. Nineteen patients responded well to hemostatic treatment, except 1 patient who died of fatal bleeding. The FVIII:C of 8 patients increased to a normal level with the median time of 42.5(21-145) days. After treatment, the activity of FIX:C of the 2 AHB patients achieved 35% and 24% in 48 and 60 days, respectively.

CONCLUSIONAcquired hemophilia is not an uncommon disease in clinical practices, which can occur in people of all ages. AH is a bleeding disorder with heterogeneous characteristics. Compared with adult, the clinical symptoms of children patients were mild, which lead to underdiagnosis.

Adolescent ; Adult ; Aged ; Aged, 80 and over ; Antibodies, Monoclonal, Murine-Derived ; Child ; Child, Preschool ; Female ; Hematoma ; Hemophilia A ; Hemorrhage ; Hemostatics ; Humans ; Immunosuppressive Agents ; Male ; Middle Aged ; Retrospective Studies ; Rituximab ; Young Adult

The secondary structures of hepatitis C virus (HCV) RNA and the cellular proteins that bind to them are important for modulating both translation and RNA replication. However, the sets of RNA-binding proteins involved in the regulation of HCV translation, replication and encapsidation remain unknown. Here, we identified RNA binding motif protein 24 (RBM24) as a host factor participated in HCV translation and replication. Knockdown of RBM24 reduced HCV propagation in Huh7.5.1 cells. An enhanced translation and delayed RNA synthesis during the early phase of infection was observed in RBM24 silencing cells. However, both overexpression of RBM24 and recombinant human RBM24 protein suppressed HCV IRES-mediated translation. Further analysis revealed that the assembly of the 80S ribosome on the HCV IRES was interrupted by RBM24 protein through binding to the 5'-UTR. RBM24 could also interact with HCV Core and enhance the interaction of Core and 5'-UTR, which suppresses the expression of HCV. Moreover, RBM24 enhanced the interaction between the 5'- and 3'-UTRs in the HCV genome, which probably explained its requirement in HCV genome replication. Therefore, RBM24 is a novel host factor involved in HCV replication and may function at the switch from translation to replication.
Cells, Cultured ; Hepacivirus ; genetics ; growth & development ; metabolism ; Humans ; Protein Biosynthesis ; RNA-Binding Proteins ; metabolism ; Virus Replication ; genetics