Literature DB >> 28240823

Predicting risk of venous thromboembolism in hospitalized cancer patients: Utility of a risk assessment tool.

Rushad Patell1, Lisa Rybicki2, Keith R McCrae3, Alok A Khorana3.   

Abstract

Inpatient venous thromboembolism (VTE) is a priority preventable illness; risk in cancer varies and prophylaxis is inconsistently used. A previously validated tool (Khorana Score, [KS]) identifies VTE risk in cancer outpatients with 5 easily available variables but has not been studied in the inpatient setting. We evaluated the validity of KS in predicting VTE risk in hospitalized cancer patients. We conducted a retrospective cohort study of consecutive oncology inpatients at the Cleveland Clinic from 11/2012 to 12/2014 (n = 3531). Patients were excluded for VTE on admission (n = 304), incomplete KS data (n = 439) or other reasons (n = 8). Data collected included demographics, cancer type, length of stay (LOS), anticoagulant use, and laboratory values. Multivariate risk factors were identified with stepwise logistic regression, confirmed with bootstrap analysis. Of 2780 patients included, 106 (3.8%) developed VTE during hospitalization. Median age was 62 (range, 19-98) years and 56% were male. Median LOS was 5 (range, 0-152) days. High risk KS (≥ 3) was significantly associated with VTE in uni- and multivariate analyses (OR 2.5, 95% [confidence interval] CI 1.3-4.9). Other significant variables included male gender (OR 1.67, 1.1-2.53), older age (OR 0.86, 0.75-0.99) and use of anticoagulants (OR 0.57, 0.39-0.85). Recursive partitioning analysis suggested optimal cut point for KS is 2 (OR 1.82, 1.23-2.69). This is the first report validating KS as a risk tool to predict VTE in hospitalized cancer patients. Using this tool could lead to more consistent and successful application of inpatient thromboprophylaxis.
© 2017 Wiley Periodicals, Inc.

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Year:  2017        PMID: 28240823      PMCID: PMC5729904          DOI: 10.1002/ajh.24700

Source DB:  PubMed          Journal:  Am J Hematol        ISSN: 0361-8609            Impact factor:   10.047


  30 in total

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Authors:  Alok A Khorana; Keith R McCrae
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2.  A risk assessment model for the identification of hospitalized medical patients at risk for venous thromboembolism: the Padua Prediction Score.

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3.  Thromboprophylaxis in medically ill patients at risk for venous thromboembolism.

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Review 4.  Biomarkers for prediction of venous thromboembolism in cancer.

Authors:  Ingrid Pabinger; Johannes Thaler; Cihan Ay
Journal:  Blood       Date:  2013-08-01       Impact factor: 22.113

5.  Prediction of venous thromboembolism in cancer patients.

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6.  Thromboembolism is a leading cause of death in cancer patients receiving outpatient chemotherapy.

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7.  Venous thromboembolism prophylaxis in acutely ill hospitalized medical patients: findings from the International Medical Prevention Registry on Venous Thromboembolism.

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9.  Implementation and validation of a risk stratification method at The Ottawa Hospital to guide thromboprophylaxis in ambulatory cancer patients at intermediate-high risk for venous thrombosis.

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  17 in total

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Review 5.  Cancer-associated venous thromboembolism.

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6.  Ability of the Khorana score to predict recurrent thromboembolism in cancer patients with ischemic stroke.

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7.  American Society of Hematology 2021 guidelines for management of venous thromboembolism: prevention and treatment in patients with cancer.

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Review 8.  Direct oral anticoagulants for treatment and prevention of venous thromboembolism in cancer patients.

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10.  Incidence of thrombosis and hemorrhage in hospitalized cancer patients with COVID-19.

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