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1.
Hematol Oncol Stem Cell Ther ; 16(4): 323-329, 2023 May 23.
Article in English | MEDLINE | ID: mdl-37363978

ABSTRACT

BACKGROUND AND OBJECTIVES: Almost 25% of patients with lymphoma may have relapse or develop refractory disease, and a majority of such patients undergo salvage chemotherapy and autologous stem cell transplantation (ASCT). Data on venous thromboembolism (VTE) in this setting are scarce. This study aimed to investigate the prevalence and factors that may increase the risk of VTE in such patients. PATIENTS AND METHODS: Adult patients who were diagnosed with lymphoma and received salvage chemotherapy and ASCT were included in the study, and the subgroup with radiologically confirmed VTE were identified. Correlations between different clinical and laboratory variables and VTE were evaluated. RESULTS: A total of 216 patients (median age, 31 [range, 19-60] years) were enrolled in the study. Most patients (n = 140, 64.8%) had Hodgkin's lymphoma, while 54 (25.0%) had diffuse large B-cell lymphoma. A total of 36 (16.7%) patients had VTE, mostly as upper extremity deep vein thrombosis (n = 28, 77.8%); 18 (50%) of the cases were related to central venous catheter insertion. Thrombosis rates were higher among patients with high lactate dehydrogenase (LDH) level (29.2% vs. 5.9%, p < 0.001), those with mediastinal involvement (25.9% vs. 11.5%, p = 0.025). and those with longer hospital stay (22.3% vs.9.5%, p = 0.036). In the multivariate analysis, high LDH level (odds ratio (OR), 6.53; p < 0.001), mediastinal involvement (OR, 2.70; p = 0.005) and hospital stay ≥24 days (OR, 2.71; p = 0.007) were all associated with significantly higher VTE rates. CONCLUSION: Patients with relapsed lymphoma undergoing salvage chemotherapy and ASCT are at higher risk for VTE, especially in those with high LDH level, mediastinal involvement, and prolonged hospital stay. If no contraindications exist, thromboprophylaxis might be considered in these settings.


Subject(s)
Hematopoietic Stem Cell Transplantation , Lymphoma, Large B-Cell, Diffuse , Venous Thromboembolism , Adult , Humans , Venous Thromboembolism/epidemiology , Venous Thromboembolism/etiology , Venous Thromboembolism/drug therapy , Prevalence , Anticoagulants/therapeutic use , Antineoplastic Combined Chemotherapy Protocols/adverse effects , Neoplasm Recurrence, Local , Transplantation, Autologous , Stem Cell Transplantation , Retrospective Studies
2.
Clin Appl Thromb Hemost ; 27: 10760296211045908, 2021.
Article in English | MEDLINE | ID: mdl-34590497

ABSTRACT

BACKGROUND: Patients with aggressive lymphomas are at higher risk for venous thromboembolism (VTE). ThroLy is a risk assessment model (RAM) derived to predict the occurrence of VTE in various types of lymphomas. In this study, we assess the clinical application of ThroLy RAM in a unified group of patients with diffuse large B-cell lymphoma (DLBCL). METHODS: Hospital databases were searched for patients with DLBCL and radiologically-confirmed VTE. Items in the ThroLy RAM, including prior VTE, reduced mobility, obesity, extranodal disease, mediastinal involvement, neutropenia and hemoglobin < 10.0 g/dL, were retrospectively reviewed. RESULTS: A total of 524 patients, median age 49 (range: 18-90) years were included. Patients had high disease burden; 57.3% with stage III/IV and 34.0% with bulky disease. All were treated on unified guidelines; 63 (12.0%) had primary refractory disease. Venous thromboembolic events were reported in 71 (13.5%) patients. Among 121 patients with high (> 3) ThroLy score, 22.3% developed VTE compared to 8.4% and 12.4% in those with low and intermediate risk scores, respectively (P = .014). Simplifying the ThroLy model into two risk groups; high-risk (score ≥ 3) and low risk (score < 3) can still segregate patients; VTE developed in 44 (17.2%) high-risk patients (n = 256) compared to 27 (10.1%) in the low-risk group (n = 268), P = .038. Neutropenia, a component of the ThroLy, was encountered in only 14 (2.7%) patients. CONCLUSIONS: ThroLy RAM can identify patients with DLBCL at high risk for VTE. Model can be modified by dividing patients into two, rather than three risk groups, and further simplified by omitting neutropenia.


Subject(s)
Lymphoma, Large B-Cell, Diffuse/complications , Venous Thromboembolism/etiology , Adolescent , Adult , Aged , Aged, 80 and over , Female , Humans , Male , Middle Aged , Risk Assessment , Venous Thromboembolism/pathology , Young Adult
3.
Appl Radiat Isot ; 154: 108869, 2019 Dec.
Article in English | MEDLINE | ID: mdl-31445490

ABSTRACT

This research investigated the data for the cross section of the 250Cf isotope in the unresolved resonance region, where the incident particle with a specific energy is either neutral or charged. Both the angular distribution and the differential cross sections of 250Cf were evaluated in the specific energy range. In this research, the Reich-Moore R-matrix approximation was used to evaluate the theoretical cross section, and sophisticated models were employed to evaluate and describe the background experimental data by including the reduction parameters for the experimental data. The evaluated resonance integral-capture cross section and thermal resonance integral-capture cross section showed a good agreement with the tabulated values found in the literature on the unresolved resonance energy region for 250Cf in the range from 0.01 meV to 20 meV.

4.
Appl Radiat Isot ; 133: 105-110, 2018 Mar.
Article in English | MEDLINE | ID: mdl-29367123

ABSTRACT

The FITWR program was developed and applied to experimental nuclear data by using the weighted least square method with nonlinear regression for high-order polynomials to meet the growing demands of nuclear data. It can deal with provided variance and covariance data along with experimental data to obtain evaluation data. The aim of this study was to investigate the validity and accuracy of the cross-sectional data for 233U to perform the calculations of the critical system by performing the pre-calculations using the SAMMY code as follows. First, by using the Bayes method, which is available in the SAMMY code, and then by using the FITWR code, which consists of facilitated weighted least square method with nonlinear regression. To validate the FITWR fitting method, a comparison was made with the Bayes method for several benchmarks, and it was tested in both thermal and fast-energy regions. All the computational work done for this paper was carried out at IMAN1 Center - Jordan's National Supercomputing Center.

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