Prediction of venous thromboembolism (VTE) in multiple myeloma (MM): Myeloma clot score (MCS).

Authors

null

Kristen Marie Sanfilippo

Barnes and Jewish Hospital/Washington University, St Louis, MO

Kristen Marie Sanfilippo , Tzu-Fei Wang , Suhong Luo , Kenneth Robert Carson , Theodore Seth Thomas , Brian Gage

Organizations

Barnes and Jewish Hospital/Washington University, St Louis, MO, The Ohio State University Comprehensive Cancer Center, Columbus, OH, St. Louis Veterans Affairs Medical Center, St. Louis, MO, Washington University, Clayton, MO, Washington University, St Louis, MO, Washington University in St. Louis, St. Louis, MO

Research Funding

NIH

Background: Guidelines support pharmacologic thromboprophylaxis in MM patients identified as “high-risk” for VTE. Tools for VTE risk assessment in MM are contradictory and have not been validated. Such risk stratification would allow for use of thromboprophylaxis in MM patients at high-risk of VTE while avoiding anticoagulant exposure in patients at low risk. We aimed to develop and validate a risk prediction model for VTE in MM. Methods: We identified patients starting chemotherapy for MM within the Veterans Administration between 9/1999 and 12/2013. Using a split-sample method, we randomly created derivation (2/3) and validation cohorts (1/3). Variables associated with an increased risk of VTE within 6-months of chemotherapy start (univariate p≤ 0.05) and those with a p≤ 0.10 and an effect consistent with prior literature were offered into a backward stepwise model. Variables were removed until remaining variables predicted VTE (p< 0.05 OR p≤ 0.30 plus consistency with prior literature). A Myeloma Clot Score (MCS) was developed based on the parameter estimates. Results: The derivation cohort included 3036 patients of who 371 developed VTE within 6-months of starting chemotherapy. The MCS (Table 1) had a c-statistic of 0.68 in the derivation cohort and similar in the validation cohort. Incidence of VTE over the 6-month study period by score is in Table 1. In the validation cohort, the Hosmer-Lemeshow test was nonsignificant, showing adequate calibration. Conclusions: We developed and validated a risk model for predicting VTE in patients with MM starting chemotherapy. This MCS could be used to select patients who are likely to benefit from thromboprophylaxis.

Multivariate model and incidence of VTE by MCS score.

Incidence of VTE by MCS Score
Multivariate Risk Model CovariateHazard Ratiop valueMCS PointsScore RangeDerivation CohortValidation Cohort
VTE before MM2.77< 0.0014≤13.7%4.4%
Low-Dose Dexamethasone2.12< 0.00132-510.9%11.2%
High-Dose Dexamethasone2.61< 0.0014
Thalidomide1.68< 0.00126-823%25%
Central Venous Catheter1.490.072≥944%58.8%
Erythropoietin1.380.011
BMI ³ 251.320.021
Diagnosis Year1.05< 0.0011*
Asian Race0.450.26-3
Warfarin0.21< 0.001-6

*Patients diagnosed 1999-2007

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Abstract Details

Meeting

2018 ASCO Annual Meeting

Session Type

Poster Session

Session Title

Health Services Research, Clinical Informatics, and Quality of Care

Track

Quality Care/Health Services Research

Sub Track

Outcomes

Citation

J Clin Oncol 36, 2018 (suppl; abstr 6585)

DOI

10.1200/JCO.2018.36.15_suppl.6585

Abstract #

6585

Poster Bd #

410

Abstract Disclosures

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