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.
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Li, N., Zhang, F. B., Li, B. J., & Wang, R. T. (2019). Combination of preoperative D-dimer and platelet distribution width predicts postoperative deep venous thrombosis in patients with cervical carcinoma. Asian Pacific Journal of Cancer Prevention, 20(4), 1025–1029. https://doi.org/10.31557/APJCP.2019.20.4.1025
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