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DEVELOPMENT OF A PREDICTIVE SCORE FOR THE IDENTIFICATION OF LYMPHOMA PATIENTS AT RISK FOR THROMBOEMBOLISM
Author(s): ,
Darko Antic
Affiliations:
Clinical Center Serbia,Clinic For Hematology. Medical Faculty, University In Belgrade,Belgrade,Serbia
,
Natasa Milic
Affiliations:
Institute for medical statistics,Medical faculty Belgrade,Belgrade,Serbia
,
Milena Todorovic
Affiliations:
Clinical Center Serbia,Clinic For Hematology. Medical Faculty, University In Belgrade,Belgrade,Serbia
,
Jelena Bila
Affiliations:
Clinical Center Serbia,Clinic For Hematology. Medical Faculty, University In Belgrade,Belgrade,Serbia
,
Bosko Andjelic
Affiliations:
Clinical Center Serbia,Clinic For Hematology. Medical Faculty, University In Belgrade,Belgrade,Serbia
,
Vladislava Djurasinovic
Affiliations:
Clinical Center Serbia,Clinic for hematology,Belgrade,Serbia
,
Aleksandra Sretenovic
Affiliations:
Clinical Center Serbia,Clinic for hematology,Belgrade,Serbia
,
Vojin Vukovic
Affiliations:
Clinical Center Serbia,Clinic for hematology,Belgrade,Serbia
,
Jelena Jelicic
Affiliations:
Clinical Center Serbia,Clinic for hematology,Belgrade,Serbia
,
Srdjan Nikolovski
Affiliations:
Clinical Center Serbia,Clinic for hematology,Belgrade,Serbia
Mihaljevic Biljana
Affiliations:
Clinical Center Serbia,Clinic For Hematology. Medical Faculty, University In Belgrade,Belgrade,Serbia
(Abstract release date: 05/21/15) EHA Library. Antic D. 06/12/15; 103202; S143 Disclosure(s): Clinic For Hematology. Medical Faculty, University In Belgrade
Clinical Center Serbia
Dr. Darko Antic
Dr. Darko Antic
Contributions
Abstract
Abstract: S143

Type: Oral Presentation

Presentation during EHA20: From 12.06.2015 12:00 to 12.06.2015 12:15

Location: Room Stolz 1

Background

There is a paucity of data that pertain to thrombosis in patients with lymphoproliferative diseases. In few published studies the rate of thrombotic complications in lymphoproliferative disease is highly variable ranging from 1.5% up to 59.5% because of the different study types (prospective or retrospective, with hospitalized or ambulatory patients), types of disease (indolent vs. aggressive) and the disease stage,

There are few prediction tools for estimating the risk of thrombosis but they are based on studies performed on hospitalized medical patients without cancer or on hospitalized neutropenic cancer patients without special consideration to hematological malignancies



Aims
Aim of our study was to determine incidence of thromboembolic (TE) events in patients with non Hodgkin lymphoma (NHL), Hodgkin lymphoma (HL)  and chronic lymphocytic leukemia (CLL) who were treated in our institution. Also, we assessed predictive model for chemotherapy-associated thrombosis developed by Khorana and create new model for the identification of lymphoma patients at risk for thromboembolism

Methods

We reviewed all medical records of patients with with NHL, HL and CLL diagnosed according to the World Health Organisation classification and treated at our institution between January 2006 and December 2014.



Results

A total of 1054 patients, with malignant lymphoma were eligible for analysis: 576 patients were men (54.6%) and 478 were women (45.4%), and mean age was 54.0 years. A total of 510 patients  (48.4%) had high-grade lymphoma, 211 had low-grade lymphoma (20.0%), 153 had Hodgkin lymphoma (14.5%), and 75 (7.1%) had other forms of lymphoma; HLL had 105 (10.0%) patients. In group of our lymphoma patients, 72 (6.8 %) had at least one TE. A total of 40 patients were men and 32 women. Thromboembolic events included deep vein thrombosis (38.9%), jugular vein thrombosis (12.5%), pulmonary embolism (11.1%), CNS thrombosis (6.9%), superficial vein thrombosis (2.8%), acute myocardial infarction (1.4%) and other (26.4%). In total of 49 pts (68%) thrombosis occurred during treatment or up to 3 months after completion of therapy, whereas in 23 pts (32%) thrombosis was diagnosed prior to therapy. Patients with aggressive NHL had significantly higher incidence of TE (8.6%) compared to all other types of lymphoma patients (RR=2.1; 95%CI for RR 1.2-3.6; p=0.009) (incidences of TE in low NHL, HL and other forms of limphoma were 4.3%, 3.3% and 6.7%). Pts with HLL had 8.6% incidence of TE. Patients with high grade lymphomas, overweight patients (BMI>25 kg/m2), patients with reduced mobility (ECOG>2), and patients with recent operative procedure (<4 weeks) had increased risk for thrombosis (p<0.05 for all). No difference regarding age, gender or disease stage was found. Based on previously mentioned risk factors a new TE risk model was developed for patients with lymphoma (excluding HLL). Patients who had at least two out of four risk factors fall into high risk group for TE (RR=13.0; 95%CI for RR 7.4-23.0; p<0.001). Predictive model for chemotherapy-associated TE developed by Khorana was also evaluated on this group of patients (RR=7.0; 95%CI for RR 3.3-14.7; p<0.001). In multivariate analysis our newly developed model for TE events in lymphoma patients were predictor of TE events and independent from Khorana model.



Summary

Prediction tools for estimating the risk of TE events in lymphoma patients have not been established but our newly developed model should be used in addition to chemotherapy-associated model in guiding best practice in the prevention of thromboembolism in patients living with lymphoma.



Keyword(s): Chronic lymphocytic leukemia, Hodgkin's lymphoma, Non-Hodgkin's lymphoma, Thrombosis

Session topic: Thrombosis and vascular biology
Abstract: S143

Type: Oral Presentation

Presentation during EHA20: From 12.06.2015 12:00 to 12.06.2015 12:15

Location: Room Stolz 1

Background

There is a paucity of data that pertain to thrombosis in patients with lymphoproliferative diseases. In few published studies the rate of thrombotic complications in lymphoproliferative disease is highly variable ranging from 1.5% up to 59.5% because of the different study types (prospective or retrospective, with hospitalized or ambulatory patients), types of disease (indolent vs. aggressive) and the disease stage,

There are few prediction tools for estimating the risk of thrombosis but they are based on studies performed on hospitalized medical patients without cancer or on hospitalized neutropenic cancer patients without special consideration to hematological malignancies



Aims
Aim of our study was to determine incidence of thromboembolic (TE) events in patients with non Hodgkin lymphoma (NHL), Hodgkin lymphoma (HL)  and chronic lymphocytic leukemia (CLL) who were treated in our institution. Also, we assessed predictive model for chemotherapy-associated thrombosis developed by Khorana and create new model for the identification of lymphoma patients at risk for thromboembolism

Methods

We reviewed all medical records of patients with with NHL, HL and CLL diagnosed according to the World Health Organisation classification and treated at our institution between January 2006 and December 2014.



Results

A total of 1054 patients, with malignant lymphoma were eligible for analysis: 576 patients were men (54.6%) and 478 were women (45.4%), and mean age was 54.0 years. A total of 510 patients  (48.4%) had high-grade lymphoma, 211 had low-grade lymphoma (20.0%), 153 had Hodgkin lymphoma (14.5%), and 75 (7.1%) had other forms of lymphoma; HLL had 105 (10.0%) patients. In group of our lymphoma patients, 72 (6.8 %) had at least one TE. A total of 40 patients were men and 32 women. Thromboembolic events included deep vein thrombosis (38.9%), jugular vein thrombosis (12.5%), pulmonary embolism (11.1%), CNS thrombosis (6.9%), superficial vein thrombosis (2.8%), acute myocardial infarction (1.4%) and other (26.4%). In total of 49 pts (68%) thrombosis occurred during treatment or up to 3 months after completion of therapy, whereas in 23 pts (32%) thrombosis was diagnosed prior to therapy. Patients with aggressive NHL had significantly higher incidence of TE (8.6%) compared to all other types of lymphoma patients (RR=2.1; 95%CI for RR 1.2-3.6; p=0.009) (incidences of TE in low NHL, HL and other forms of limphoma were 4.3%, 3.3% and 6.7%). Pts with HLL had 8.6% incidence of TE. Patients with high grade lymphomas, overweight patients (BMI>25 kg/m2), patients with reduced mobility (ECOG>2), and patients with recent operative procedure (<4 weeks) had increased risk for thrombosis (p<0.05 for all). No difference regarding age, gender or disease stage was found. Based on previously mentioned risk factors a new TE risk model was developed for patients with lymphoma (excluding HLL). Patients who had at least two out of four risk factors fall into high risk group for TE (RR=13.0; 95%CI for RR 7.4-23.0; p<0.001). Predictive model for chemotherapy-associated TE developed by Khorana was also evaluated on this group of patients (RR=7.0; 95%CI for RR 3.3-14.7; p<0.001). In multivariate analysis our newly developed model for TE events in lymphoma patients were predictor of TE events and independent from Khorana model.



Summary

Prediction tools for estimating the risk of TE events in lymphoma patients have not been established but our newly developed model should be used in addition to chemotherapy-associated model in guiding best practice in the prevention of thromboembolism in patients living with lymphoma.



Keyword(s): Chronic lymphocytic leukemia, Hodgkin's lymphoma, Non-Hodgkin's lymphoma, Thrombosis

Session topic: Thrombosis and vascular biology

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