Assessment of risk prediction scores for venous thromboembolism in ambulatory cancer patients with solid tumors receiving chemotherapy: A comparative analysis

Hamsaveni Muthukumar, Wesley Mannirathil Jose, Nikhil Krishna Haridas, Anjali Sajikumar Nair, Keechilat Pavithran
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Abstract

Objective

Cancer patients have a 4−7-fold increased risk of thrombotic complications due to cancer as well as chemotherapy-induced hypercoagulable state. This study compared the different risk assessment models (Khorana, PROTECHT, CONKO, and COMPASS-CAT scores) that help predict venous thromboembolism (VTE) in ambulatory cancer patients. Early identification of high-risk patients would benefit from thromboprophylaxis, thereby improving the mortality and morbidity due to thrombotic events.

Methods

This is a single-center, prospective, cross-sectional study on ambulatory patients with solid malignancy. The study was conducted over six months, from March 2022 to August 2022. Data on VTE predictors were gathered from 230 ambulatory cancer patients undergoing chemotherapy.

Results

Among the 230 patients receiving chemotherapy, 20 were diagnosed with VTE, with the majority of this population being either diagnosed with gynecological cancer or lung cancer, constituting 25% of VTE-diagnosed patients. The Khorana score, with a VTE accuracy of 83.04%, was found to be the highest, followed by the CONKO (80.00%), PROTECHT (69.57%), COMPASS-CAT Ⅱ (54.35%), and COMPASS-CAT Ⅰ (38.26%) scores. The cumulative incidence of VTE among high-risk patients showed that the PROTECHT score had the highest cumulative incidence (CI = 14.28), and the CONKO score had the lowest (CI = 9.40).

Conclusion

The Khorana score was the most accurate, followed by the CONKO, PROTECHT, and COMPASS-CAT Ⅱ scores, while the COMPASS-CAT Ⅰ score was the least accurate. Hence, the Khorana scoring is essential for diagnosing VTE in patients with ambulatory cancer treated with chemotherapy.

Abstract Image

接受化疗的非卧床癌症合并实体瘤患者静脉血栓栓塞风险预测评分的评估:一项比较分析
癌症患者由于癌症和化疗引起的高凝状态导致血栓形成并发症的风险增加了4 - 7倍。本研究比较了不同的风险评估模型(Khorana、protect、CONKO和COMPASS-CAT评分),这些模型有助于预测门诊癌症患者的静脉血栓栓塞(VTE)。早期识别高危患者将有利于血栓预防,从而提高由于血栓事件的死亡率和发病率。方法:本研究为单中心、前瞻性、横断面研究,研究对象为非卧床实性恶性肿瘤患者。这项研究进行了六个月,从2022年3月到2022年8月。静脉血栓栓塞预测因子的数据来自230名接受化疗的门诊癌症患者。结果在230例接受化疗的患者中,有20例被诊断为静脉血栓栓塞(VTE),其中以妇科癌症或肺癌为主,占静脉血栓栓塞确诊患者的25%。Khorana评分最高,VTE准确率为83.04%,其次是CONKO评分(80.00%)、PROTECHT评分(69.57%)、COMPASS-CATⅡ评分(54.35%)和COMPASS-CATⅠ评分(38.26%)。高危患者VTE累积发生率显示,PROTECHT评分累积发生率最高(CI = 14.28), CONKO评分最低(CI = 9.40)。结论Khorana评分的准确性最高,其次是CONKO、PROTECHT和COMPASS-CATⅡ评分,而COMPASS-CATⅠ评分的准确性最低。因此,Khorana评分对于诊断接受化疗的非流动癌症患者的静脉血栓栓塞至关重要。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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