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COMPARISON OF DIFFERENT CLINICAL RISK ASSESSMENT MODELS (RAMS) FOR THROMBOSIS IN AMBULATORY CANCER PATIENTS RECEIVING CHEMOTHERAPY FROM THE SECOND COHORT ONCOTHROMB 12-01 STUDY
Author(s): ,
Magdalena Ruiz
Affiliations:
Department of Medicine,Faculty of Medicine Universidad Complutense,Madrid,Spain
,
Andres J Muñoz
Affiliations:
Oncology,Hospital General Universitario Gregorio Marañón,Madrid,Spain
,
Laura Ortega
Affiliations:
Oncology,Hospital General Universitario Gregorio Marañón,Madrid,Spain
,
Carme Font
Affiliations:
Oncology,Hospital Clinic,Barcelona,Spain
,
Elia Segui
Affiliations:
Oncology,Hospital Clinic,Barcelona,Spain
,
Marta García de Herreros
Affiliations:
Oncology,Hospital Clinic,Barcelona,Spain
,
Victoria E Castellón
Affiliations:
Oncology,Hospital Torrecárdenas,Almeria,Spain
,
Jaime Rubio
Affiliations:
Oncology,Fundación Jiménez Díaz,Madrid,Spain
,
Ana Ferrer
Affiliations:
Oncology,Hospital Obispo Polanco,Teruel,Spain
,
Joaquina Martínez-Galán
Affiliations:
Oncology,Hospital Universitario Virgen de las Nieves,Granada,Spain
,
Mercedes Salgado
Affiliations:
Oncology,Complejo Hospitalario Universitario de Ourense,Orense,Spain
,
Ignacio García-Escobar
Affiliations:
Oncology,Hospital Universitario Virgen de las Nieves,Granada,Spain
,
Isaura Fernández
Affiliations:
Oncology,Hospital Alvaro Cunqueiro,Vigo,Spain
,
Eva Martínez de Castro
Affiliations:
Oncology,Hospital Marqués de Valdecilla,Santander,Spain
,
Vanessa Pachón
Affiliations:
Oncology,Hospital Ramón y Cajal,Madrid,Spain
,
Teresa Quintanar
Affiliations:
Oncology,Hospital General de Elche,Elche,Spain
,
Inma Gras
Affiliations:
Oncology,Hospital General Universitario Gregorio Marañón,Madrid,Spain
,
Maria Carmen Viñuelas
Affiliations:
Department of Medicine,Faculty of Medicine Universidad Complutense,Madrid,Spain
,
Antonio Cardenas
Affiliations:
Unidad de Genómica de Enfermedades Complejas,Institut de Recerca Hospital Santa Creu i Sant Pau,Barcelona,Spain
,
Eduardo Salas
Affiliations:
Unidad de Genómica de Enfermedades Complejas,Institut de Recerca Hospital Santa Creu i Sant Pau,Barcelona,Spain
Jose Manuel Soria
Affiliations:
Unidad de Genómica de Enfermedades Complejas,Institut de Recerca Hospital Santa Creu i Sant Pau,Barcelona,Spain
EHA Library. Ruiz M. 06/09/21; 325040; EP1320
Magdalena Ruiz
Magdalena Ruiz
Contributions
Abstract
Presentation during EHA2021: All e-poster presentations will be made available as of Friday, June 11, 2021 (09:00 CEST) and will be accessible for on-demand viewing until August 15, 2021 on the Virtual Congress platform.

Abstract: EP1320

Type: E-Poster Presentation

Session title: Thrombosis and vascular biology - Biology & Translational Research

Background

The identification of ambulatory patients with cancer at a high-risk of thrombosis and candidates for thromboprophylaxis remains challenging as several risk assessments models (RAMs) have been developed but none of them are routinely used in clinical practice by oncologists.

Aims

To evaluate in a prospective validation cohort (Oncothromb12-01) the predictive capacity of the Khorana, PROTECHT, CONKO, Vienna-CATS modified without P-selectin and Pabinger’s nomogram risk scores.

Methods

Multicenter, prospective, observational cohort study in Spain. The second cohort started in 2018 and includes outpatients with lung, central nervous system, colorectal, pancreatic, biliary tract, and gastric cancer naïve for systemic anti-tumor therapy and scheduled for initial treatment. The primary endpoint was the diagnosis of a symptomatic or incidental VTE episode within 12 months of follow up. The predictive power of each RAMs was analyzed by means of calculation of sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), positive and negative likelihood ratios, and area under the ROC curve (AUC).


 

Results
126 patients, median age 64 y.o. Gender male/female 54/72. Tumor types: pancreas 42,1 %, colorectal 21,4%, gastric 11,9%, biliary tract 9,5%, lung 9,5%, CNS 3,2%, esophagus 1,6% and pancreas + colorectal 0,8%. 57,9% stage IV, 10,3% ECOG ≥ 2. Thirty-four (27%) developed VTE during follow-up. PE 12 (35,3%), DVT 8(23,5%), central venous catheter thrombosis 1 (35,3%), visceral VTE 15 (44,1%). Incidental VTE 24 (70,5%).  Overall mortality rate at 12 months 43%. Mortality rate of patients with VTE 65%. 79% of patients with VTE had tumor persistence within 12 months. The positive threshold of 3 points was determined for high-risk category in the RAMs (> 10% for Nomogram).  Performance of clinical RAMs is summarized in Table 1.

 


 

 


 

Conclusion

All clinical RAMs tested in this study performed poorly in this high-risk population. We suggest the inclusion of other parameters in the RAMs as genomic o molecular variables to improve the predictive capacity.

Keyword(s): Chemotherapy, Prophylaxis, Risk factor, Thrombosis

Presentation during EHA2021: All e-poster presentations will be made available as of Friday, June 11, 2021 (09:00 CEST) and will be accessible for on-demand viewing until August 15, 2021 on the Virtual Congress platform.

Abstract: EP1320

Type: E-Poster Presentation

Session title: Thrombosis and vascular biology - Biology & Translational Research

Background

The identification of ambulatory patients with cancer at a high-risk of thrombosis and candidates for thromboprophylaxis remains challenging as several risk assessments models (RAMs) have been developed but none of them are routinely used in clinical practice by oncologists.

Aims

To evaluate in a prospective validation cohort (Oncothromb12-01) the predictive capacity of the Khorana, PROTECHT, CONKO, Vienna-CATS modified without P-selectin and Pabinger’s nomogram risk scores.

Methods

Multicenter, prospective, observational cohort study in Spain. The second cohort started in 2018 and includes outpatients with lung, central nervous system, colorectal, pancreatic, biliary tract, and gastric cancer naïve for systemic anti-tumor therapy and scheduled for initial treatment. The primary endpoint was the diagnosis of a symptomatic or incidental VTE episode within 12 months of follow up. The predictive power of each RAMs was analyzed by means of calculation of sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), positive and negative likelihood ratios, and area under the ROC curve (AUC).


 

Results
126 patients, median age 64 y.o. Gender male/female 54/72. Tumor types: pancreas 42,1 %, colorectal 21,4%, gastric 11,9%, biliary tract 9,5%, lung 9,5%, CNS 3,2%, esophagus 1,6% and pancreas + colorectal 0,8%. 57,9% stage IV, 10,3% ECOG ≥ 2. Thirty-four (27%) developed VTE during follow-up. PE 12 (35,3%), DVT 8(23,5%), central venous catheter thrombosis 1 (35,3%), visceral VTE 15 (44,1%). Incidental VTE 24 (70,5%).  Overall mortality rate at 12 months 43%. Mortality rate of patients with VTE 65%. 79% of patients with VTE had tumor persistence within 12 months. The positive threshold of 3 points was determined for high-risk category in the RAMs (> 10% for Nomogram).  Performance of clinical RAMs is summarized in Table 1.

 


 

 


 

Conclusion

All clinical RAMs tested in this study performed poorly in this high-risk population. We suggest the inclusion of other parameters in the RAMs as genomic o molecular variables to improve the predictive capacity.

Keyword(s): Chemotherapy, Prophylaxis, Risk factor, Thrombosis

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