Background:The Khorana risk score (KRS) for prognosis of venous thromboembolism (VTE) has been rarely explored in Hispanic populations.Objective: To determine the value of the KRS for prediction of VTE and overall survival (OS) among Hispanic individuals with cancer.
Methods:We retrospectively evaluated all outpatients with newly diagnosed solid tumours receiving systemic chemotherapy in Hospital San Juan Dios, San José, Costa Rica, from January to December 2021. The 6-month cumulative VTE incidence according to the KRS categories was estimated using the Fine & Gray competing risk model. A Kaplan-Meier analysis was used to compare OS among KRS categories. The Cox regression analysis was performed to calculate the hazard ratio (HR) and its corresponding 95% confidence interval (CI). The receiver operating characteristic (ROC) analysis was performed to identify the optimal cutoff value to predict VTE during follow-up.Results: A total of 708 patients were included in the analysis. After a median followup of 8.13 months, the cumulative incidence of VTE at 6 months was 1.56% (95% CI: 0.83%-6.82%), 4.83% (95% CI: 2.81%-7.66%) and 8.84% (95% CI: 4.30%-15.42%) for low-, intermediate-and high-risk Khorana score categories, respectively (Gray's p value: 0.0178). The optimal cutoff for the KRS to predict VTE was 2 (area under the ROC curve: 0.65; 95% CI: 0.55-0.756). The KRS was independently associated with overall mortality (HR: 1.83; 95% CI: 1.46-2.29; p < 0.001, for the comparison of 'high-risk' and 'low-risk' KRS).
Conclusions:The KRS is a valid tool to predict VTE and mortality in a cohort of Hispanic outpatients with newly diagnosed solid tumours.
e24074 Background: Several predictive scores have been developed to assess the risk of venous thromboembolism (VTE) among cancer patients. Although their use is currently recommended by several guidelines, it is unknown if these scores can accurately predict the risk of VTE in Hispanic patients that are at different risk for thrombosis. Methods: We retrospectively evaluated all outpatients with newly diagnosed solid tumors receiving systemic chemotherapy in Hospital San Juan Dios, San José, Costa Rica, from January to December 2021. For each patient, the Khorana, PROTECHT, and CONKO scores were calculated at the beginning of treatment. The sixth-month cumulative incidence of VTE was estimated using the Fine & Gray competing risk model for the overall population and stratified according to each risk category. A Kaplan-Meier analysis was used to compare the cumulative VTE incidences between high- and low-risk categories of the three predictive scores. The Cox regression analysis was used to calculate the hazard ratio (HR) and its corresponding 95% confidence interval (CI). The receiver operating characteristic (ROC) curve was used to assess the performance of each predictive tool through the analysis of the c-statistic, sensitivity, and specificity. Results: 708 patients were included in the analysis. After a median follow-up of 8.13 months, the cumulative VTE incidence at six months was 4.45% (95%CI: 3.25-6.91%). At the conventional positivity threshold of 3 points, these scores classified from 17.7 to 27.5% of all patients as high-risk for VTE. The 6-month incidence of VTE among high-risk patients ranged from 7.6% for the Khorana score to 9.3% for the CONKO score. Patients belonging to the high-risk category of the Khorana, PROTECHT, and CONKO scores had significantly higher risk of VTE in comparison to low-risk patients (Khorana score: HR: 2.66; 95%CI:1.20-5.89; p = 0.042; PROTECHT score: HR: 3.44; 95%CI:1.63-7.21; p = 0.001; CONKO score HR: 3.68; 95%CI:1.72-7.85; p = 0.001). Table 1 resumes the performance of the studied scores. Table 1. Performance of the Khorana, PROTECHT, and CONKO scores for the prediction of venous thromboembolism. Conclusions: The Khorana, PROTECHT, and CONKO scores accurately predict the risk of VTE in Hispanic patients with solid tumors with similar performance among them. However, their sensitivity and specificity remain poor for identifying all patients at risk for thromboembolic events.[Table: see text]
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