LAUSR.org creates dashboard-style pages of related content for over 1.5 million academic articles. Sign Up to like articles & get recommendations!

COMPARATIVE ANALYSIS OF PREDICTIVE MODELS FOR THROMBOEMBOLIC EVENTS IN LYMPHOMA PATIENTS

Photo by nci from unsplash

ing the side effect profile. Methods: Data from 2012 to 2016 were collected retrospectively from pharmacy records for all lymphoma patients treated with thalidomide. The majority of these patients were… Click to show full abstract

ing the side effect profile. Methods: Data from 2012 to 2016 were collected retrospectively from pharmacy records for all lymphoma patients treated with thalidomide. The majority of these patients were multiply relapsed. Patients were all started on 50 mg daily, with dose escalation to 200 mg daily as tolerated, in addition to pulsed dexamethasone. Results: 27 patients were treated: ‐ 11 DLBCL (2 transformed low‐ grade) ‐ 3 Follicular lymphoma‐ 2 B‐NHL unspecified‐ 3 Hodgkin's disease‐ 2 Waldenström's macroglobulinaemia‐ 1 mantle cell‐ 5 angioimmunoblastic T cell‐ Age range of patients 52–58 (median age 75)‐ Line of treatment was 1–5 (median 2)‐ 17/27 patients were treated for >4 weeks (others stopped due to SEs or early relapse/ death)‐ 7 of those 17 achieved disease control for >6 months. Conclusion: The patients examined in this study were all multiply relapsed and/or too frail for conventional chemotherapy. Prognosis in such a cohort is very poor and, unsurprisingly, many of the cases we looked at died shortly after starting treatment. However, a subset of these patients achieved long disease control—one patient is still alive 5 years after starting thalidomide. Thalidomide has a variety of mechanisms including immunomodulatory and anti‐angiogenic properties so it is a logical choice of treatment in chemotherapy‐resistant cases. Given the generally well‐tolerated side effect profile and low cost of thalidomide not to mention the ease of administration, a trial of thalidomide is worth considering when no other options remain, where it may buy precious months, or even years, of life.

Keywords: comparative analysis; patients treated; models thromboembolic; lymphoma patients; analysis predictive; predictive models

Journal Title: Hematological Oncology
Year Published: 2017

Link to full text (if available)


Share on Social Media:                               Sign Up to like & get
recommendations!

Related content

More Information              News              Social Media              Video              Recommended



                Click one of the above tabs to view related content.