Combination of Preoperative D-Dimer and Platelet Distribution width Predicts Postoperative Deep Venous Thrombosis in Patients with Cervical Carcinoma

Li, Na; Zhang, Fu-Bin; Li, Bing-Jie; Wang, Rui-Tao

doi:10.31557/APJCP.2019.20.4.1025

Combination of Preoperative D-Dimer and Platelet Distribution width Predicts Postoperative Deep Venous Thrombosis in Patients with Cervical Carcinoma

Document Type : Research Articles

Authors

¹ Department of Internal Medicine, Harbin Medical University Cancer Hospital, Harbin Medical University, Harbin, Heilongjiang, China.

² Department of Gynecology, Harbin Medical University Cancer Hospital, Harbin Medical University, Harbin, Heilongjiang,China.

³ Department of Ultrasound, Harbin Medical University Cancer Hospital, Harbin Medical University, Harbin, Heilongjiang, China.

10.31557/APJCP.2019.20.4.1025

Abstract

Background: Deep venous thrombosis (DVT) is associated with severe morbidity and mortality in cancer. Platelet
distribution width (PDW), a platelet index, indicates variation in platelet size. We aimed to investigate whether the
combination of D-dimer and PDW could have a better performance in predicting DVT in patients with cervical
carcinoma. Materials and Methods: In 198 consecutive cervical carcinoma patients without preoperative DVT,
preoperative D-dimer and PDW levels were measured. Compression ultrasonography was performed in all cervical
carcinoma patients before surgery, as well as one month, three months, six months, and 12 months. Results: During a
median period of 12 months, 17 of the 198 patients (8.6 %) developed DVT. PDW levels were reduced and D-dimer
levels were increased in patients with DVT events compared to those without DVT. Multivariate Cox analysis revealed
that both PDW and D-dimer were independent predictors for DVT events. The area under the ROC curve was 0.628
(95% CI: 0.556 to 0.695, p=0.142) when D-dimer was used alone, whereas it increased to 0.777 (95% CI: 0.712 to
0.833, p<0.011) with the addition of PDW. Incorporation of PDW into the D-dimer model significantly improved the
predictive value. Conclusions: The combination of preoperative D-dimer and PDW improves the predictive power of
postoperative DVT risk in patients with cervical carcinoma.

Keywords