A new pre-test probability score for diagnosis of deep vein thrombosis in patients before surgery

A Predictive Model for Cancer-Associated Thrombosis in Japanese Cancer Patients: Findings from the J-Khorana Registry

Background  Although the close relationship between cancer and venous thromboembolism (VTE) has been identified, risk stratification for VTE in Japanese patients with cancer remains unclear. Objectives  This study aimed to validate the Khorana VTE risk assessment score (KRS) for VTE diagnosis and establish an optimal predictive model for VTE in Japanese patients with cancer. Methods  A total of 7,955 Japanese patients with cancer were subdivided into low- (0), intermediate- (1-2), and high-score (3) groups according to the KRS. Using 37 explanatory variables, a total of 2,833 patients with cancer were divided into derivation and validation cohorts (5:5). A risk model for Japanese participants was developed using the derivation cohort data. Results  The prevalence of VTE in low-, intermediate-, and high-score patients was 1.2, 2.5, and 4.3%, respectively. Logistic regression analysis demonstrated that cancer stage (III-IV) and KRS ≥ 2 were independent and significant predictors of VTE onset. The risk model for VTE assigned 1 point to body mass index ≥25 kg/m 2 and 2 points each to the prevalence of osteochondral cancer and D-dimer level ≥1.47 µg/mL. The areas under the curve of the risk model were 0.763 and 0.656 in the derivation and validation cohorts, respectively. Conclusion  The KRS was useful in Japanese patients, and our new predictive model may be helpful for the diagnosis of VTE in Japanese patients with cancer.

The Kagoshima-DVT Score Is a Useful Predictive Model for Cancer-Associated Thrombosis in Patients With Gastrointestinal Cancer

Background: Cancer-associated thrombosis (CAT) is a common complication of cancer and has received increasing attention; the Khorana Risk Score (KRS) is a recommended but insufficient risk assessment model for CAT. We propose a novel Kagoshima-DVT score (KDS) to predict preoperative deep vein thrombosis (DVT). This scoring method scores D-dimer ≥1.5 μg/mL, age ≥60 years, female sex, ongoing glucocorticoids, cancer with high risk of DVT, and prolonged immobility. The purpose of this study was to compare the performance of the KDS and KRS in predicting CAT in patients with gastrointestinal cancer. Methods and Results: In all, 250 patients without a history of thrombosis who received their first chemotherapy for gastrointestinal cancer were divided into low- (48.0%), intermediate- (38.8%), and high-risk (13.2%) groups for CAT development by the KDS. The patients' median age was 67 years and 63.2% were men. In all, 61 (27.1%) patients developed CAT (17.6%, 35.3%, and 36.4% of patients in the low-, intermediate, and high-risk groups, respectively; log-rank P=0.006). The area under the time-dependent receiver operating characteristic curve for CAT occurrence within 1 year was larger for the KDS than KRS (0.653 vs. 0.494). Conclusions: A high KDS at the start of first chemotherapy is a risk indicator for CAT development during chemotherapy. Moreover, the KDS is more useful than the KRS in predicting CAT risk.