Validation of the Caprini risk model for predicting deep venous thrombosis in hospital-ized patients with malignant tumors
10.3969/j.issn.1000-8179.2019.13.374
- VernacularTitle:Caprini风险评估模型预测恶性肿瘤住院患者深静脉血栓形成的确证性研究*
- Author:
Yunxun KUANG
1
;
Jiayu LI
;
Hailong HE
;
Xiaoyun LUO
Author Information
1. 首都医科大学附属北京世纪坛医院血管外科
- Keywords:
malignant tumor;
venous thromboembolism (VTE);
deep venous thrombosis;
pulmonary embolism
- From:
Chinese Journal of Clinical Oncology
2019;46(13):682-685
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To evaluate the effectiveness of the Caprini risk assessment model in predicting deep venous thrombosis in hos-pitalized patients with malignant tumors. Methods:Deep venous thrombosis screening was performed in 504 patients with malignant tumors who were hospitalized in Beijing Shijitan Hospital between January 2015 and January 2017. Their Caprini thrombosis risk mod-el scores and risk classifications were analyzed and compared with those of the Khorana risk model. Results:The median Caprini score of patients with deep venous thrombosis was 6 (range 4-8), which was higher than the score of 5 (range 4-7) in the group without deep venous thrombosis (Z=10.033, P=0.004). Statistically significant differences in the incidence of deep venous thrombosis were found among the low-medium, high-, and extremely high-risk groups (Z=-1.933, P=0.053). The area under the receiver-operating char-acteristic curve (AUC) of the Caprini scores was 0.611 [95% confidence interval (CI): 0.54-0.69, P=0.004], and the cutoff value was 6 points, with the largest Youden index. The AUC of the Khorana model was 0.65 (95% CI: 0.57-0.72, P<0.001), and the difference be-tween the Khorana and Caprini models was not statistically significant (Z=0.674, P=0.500). The AUC of the Caprini model was 0.85 (95% CI: 0.66-0.96, P<0.01) and that of the Khorana model was 0.68 (95% CI: 0.47-0.84, P=0.18) in the patients who underwent malig-nant tumor surgery. The AUC of the Khorana model was 0.72 (95% CI: 0.61-0.82, P=0.01) and that of the Caprini model was 0.55 (95% CI: 0.44-0.67, P=0.54) in the non-operative patients who received chemotherapy. Conclusions:The Caprini and Khorana risk assess-ment models have certain predictive values, but the discrimination is not good. The Caprini model is providing better predictability in patients with malignant tumors treated with surgery. The Khorana model is suitable for non-operative patients who received chemo-therapy. Further studies on the application of the Caprini risk assessment model in patients with malignant tumors are needed.
