Literature DB >> 33599857

A modified Khorana score as a risk assessment tool for predicting venous thromboembolism in newly diagnosed advanced lung cancer.

Shuangping Li1, Pengfei Gao2, Jiayong Qiu2, Xuegai He2, Yimin Mao3.   

Abstract

The aim of this study was to evaluate the Khorana score and modified Khorana score as risk assessment tools for predicting the development of VTE in newly diagnosed advanced lung cancer. Information on the clinical data and laboratory indicators of the study group between 2014 and 2018 and the validation group between January 2019 to June 2020 of newly diagnosed advanced lung cancer patients at The First Affiliated Hospital of Henan University of Science and Technology was collected. We conducted an analysis of the risk factors affecting VTE development and the predictive risk value of the Khorana score and the modified Khorana score for VTE in newly diagnosed advanced lung cancer patients. A total of 124 patients were included in the study group. D-dimer is an independent risk factor for VTE in newly diagnosed advanced lung cancer patients (OR 1.620, 95% CI 1.220, 2.152, p = 0.001). The best cutoff value of D -dimer for the prediction of VTE development risk was 1.14 mg/L. The AUC of the Khorana score to predict the occurrence risk of VTE in newly diagnosed advanced lung cancer patients was 0.706; when the best cutoff value was 2, the sensitivity was 70.83%, and the specificity was 65%. The AUC of the modified Khorana score was 0.870; when the cutoff value was 2, the sensitivity was 100%, and the specificity was 50%. A total of 237 patients were included in the validation group, the AUC of the modified Khorana score for predicting the occurrence risk of VTE was 0.875; when the cutoff value was 2, the sensitivity was 100%, and the specificity was 52.1%. The modified Khorana score after incorporating D-dimer has a higher predictive value for the occurrence risk of VTE in newly diagnosed lung cancer patients; when the score ≥ 2, its sensitivity is higher, and it can more fully identify high-risk groups of VTE.
© 2021. The Author(s), under exclusive licence to Springer Science+Business Media, LLC part of Springer Nature.

Entities:  

Keywords:  D-dimer; Khorana score; Lung cancer; Risk assessment; Venous thromboembolism

Mesh:

Year:  2021        PMID: 33599857     DOI: 10.1007/s11239-021-02396-5

Source DB:  PubMed          Journal:  J Thromb Thrombolysis        ISSN: 0929-5305            Impact factor:   2.300


  7 in total

1.  Prevalence and associations of VTE in patients with newly diagnosed lung cancer.

Authors:  Yuhui Zhang; Yuanhua Yang; Wenhui Chen; Lijuan Guo; Lirong Liang; Zhenguo Zhai; Chen Wang
Journal:  Chest       Date:  2014-09       Impact factor: 9.410

2.  Identification of risk factors for venous thromboembolism and evaluation of Khorana venous thromboembolism risk assessment in Japanese lung cancer patients.

Authors:  Makoto Hiraide; Taro Shiga; Yuichi Minowa; Yasuhiro Nakano; Hidenori Yoshioka; Kenichi Suzuki; Chikao Yasuda; Harumi Takahashi; Toshihiro Hama
Journal:  J Cardiol       Date:  2019-08-12       Impact factor: 3.159

Review 3.  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

4.  Prediction of venous thromboembolism in cancer patients.

Authors:  Cihan Ay; Daniela Dunkler; Christine Marosi; Alexandru-Laurentiu Chiriac; Rainer Vormittag; Ralph Simanek; Peter Quehenberger; Christoph Zielinski; Ingrid Pabinger
Journal:  Blood       Date:  2010-09-09       Impact factor: 22.113

Review 5.  Risk prediction of cancer-associated thrombosis: Appraising the first decade and developing the future.

Authors:  Alok A Khorana; Charles W Francis
Journal:  Thromb Res       Date:  2018-01-31       Impact factor: 3.944

6.  Advanced nodal stage predicts venous thromboembolism in patients with locally advanced non-small cell lung cancer.

Authors:  Richard Li; Gretchen Hermann; Elizabeth Baldini; Aileen Chen; David Jackman; David Kozono; Paul Nguyen; Anju Nohria; Graham Powell; Raymond Mak
Journal:  Lung Cancer       Date:  2016-03-16       Impact factor: 5.705

7.  Development and validation of a predictive model for chemotherapy-associated thrombosis.

Authors:  Alok A Khorana; Nicole M Kuderer; Eva Culakova; Gary H Lyman; Charles W Francis
Journal:  Blood       Date:  2008-01-23       Impact factor: 22.113

  7 in total

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