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Venous access devices are used in health care. To prevent occlusions the evidence confirmed the need for routine catheter flushing before and after infusion as well as at the end of use. To date, the efficacy of heparin has not been demonstrated. The aim of this study was to evaluate the effectiveness of the locking of central venous catheters with heparin versus normal saline in adults to prevent occlusion, catheter-related infections and thrombosis in adults. A literature search using Medline, Embase, Cochrane Library and Cinahl was performed to identify all meta-analyses addressing the effectiveness of heparin versus normal saline in locking central venous catheters in adults. Four reviewers independently selected publications assessed quality and extracted data. Parameter estimates regarding occlusion, catheter- related infections and thrombosis were pooled using an umbrella review. We identified 6356 references. Seven systematic reviews were included in the study. Most of the studies included in the systematic reviews were conducted in oncohaematology departments, intensive care and cardiac surgery units among patients with multiple diseases and chronicity. Most studies report a heparin concentration of 10 to 5000 IU/ml versus normal saline and other solutions. There was no evidence that heparin was more effective than normal saline in reducing complications such as occlusion, catheter-related infections and thrombosis. No statistically significant difference was found between heparin and normal saline in reducing catheter occlusion. Heparin is not superior compared to normal saline.

Abstract: The treatment of common nodal peripheral T-cell lymphomas (PTCLs), including PTCL, not otherwise specified (PTCL, NOS), anaplastic large-cell lymphomas, and T-follicular helper lymphomas, is evolving. These entities are currently treated similarly with cyclophosphamide, doxorubicin, vincristine, and prednisone (CHOP) or cyclophosphamide, doxorubicin, vincristine, etoposide, and prednisone (CHOEP) for CD30-negative diseases, or brentuximab vedotin plus cyclophosphamide, doxorubicin, and prednisone (CHP) for CD30-positive diseases, followed by consolidation with autologous stem cell transplantation in the first remission. Ongoing improvements in PTCL classification, identification of predictive biomarkers, and development of new targeted agents will lead to more specific therapies that address the unique biologic and clinical properties of each entity. For example, widespread efforts focused on molecular profiling of PTCL, NOS is likely to identify distinct subtypes that warrant different treatment approaches. New agents, such as EZH1/2 and JAK/STAT pathway inhibitors, have broadened treatment options for relapsed or refractory diseases. Furthermore, promising strategies for optimizing immune therapy for PTCL are currently under investigation and have the potential to significantly alter the therapeutic landscape. Ongoing frontline study designs incorporate an understanding of disease biology and drug sensitivities and are poised to evaluate whether newer-targeted agents should be incorporated into frontline settings for various disease entities. Although current treatment strategies lump most disease entities together, future treatments will include distinct strategies for each disease subtype that optimize therapy for individuals. This movement toward individualized therapy will ultimately lead to dramatic improvements in the prognosis of patients with PTCL.

Abstract: Peripheral T-cell lymphomas (PTCLs) encompass a heterogeneous group of postthymic T-cell lymphomas with >30 distinct subtypes associated with varied clinicopathological features. Unfortunately, the overall survival of the major PTCL subtypes is dismal and has not improved for decades; thus, there is an urgent unmet clinical need to improve diagnosis, therapies, and clinical outcomes. The diagnosis is often challenging, requiring a combinatorial evaluation of clinical, morphologic, and immunophenotypic features. PTCL pathobiology is difficult to investigate due to enormous intertumor and intratumor heterogeneity, limited tissue availability, and the paucity of authentic T-cell lymphoma cell lines or genetically faithful animal models. The application of transcriptomic profiling and genomic sequencing has markedly accelerated the discovery of new biomarkers, molecular signatures, and genetic lesions, and some of the discoveries have been included in the revised World Health Organization or International Consensus Classification. Genome-wide investigations have revealed the mutational landscape and transcriptomic profiles of PTCL entities, defined the cell of origin as a major determinant of T-cell lymphoma biology, and allowed for the refinement of biologically and clinically meaningful entities for precision therapy. In this review, we prioritize the discussion on common nodal PTCL subtypes together with 2 virus-associated T-cell and natural killer cell lymphomas. We succinctly review normal T-cell development, differentiation, and T-cell receptor signaling as they relate to PTCL pathogenesis and biology. This review will facilitate a better biological understanding of the different PTCL entities and their stratification for additional studies and target-directed clinical trials.

Abstract: Although tyrosine kinase inhibitor (TKI) therapy has markedly improved the survival of people with chronic-phase chronic myeloid leukemia (CML), 20% to 30% of people still experienced therapy failure. Data from 1955 consecutive patients with chronic-phase CML diagnosed by the European LeukemiaNet recommendations from 1 center receiving initial imatinib or a second-generation (2G) TKI therapy were interrogated to develop a clinical prediction model for TKI-therapy failure. This model was subsequently validated in 3454 patients from 76 other centers. Using the predictive clinical covariates associated with TKI-therapy failure, we developed a model that stratified patients into low-, intermediate- and high-risk subgroups with significantly different cumulative incidences of therapy failure (P < .001). There was good discrimination and calibration in the external validation data set, and the performance was consistent with that of the training data set. Our model had the better prediction discrimination than the Sokal and European Treatment and Outcome Study long-term survival scores, with the greater time-dependent area under the receiver-operator characteristic curve values and a better ability to redefine the risk of therapy failure. Our model could help physicians estimate the likelihood of initial imatinib or 2G TKI-therapy failure in people with chronic-phase CML.