@article { author = {Li, Na and Zhang, Fu-Bin and Li, Bing-Jie and Wang, Rui-Tao}, title = {Combination of Preoperative D-Dimer and Platelet Distribution width Predicts Postoperative Deep Venous Thrombosis in Patients with Cervical Carcinoma}, journal = {Asian Pacific Journal of Cancer Prevention}, volume = {20}, number = {4}, pages = {1025-1029}, year = {2019}, publisher = {West Asia Organization for Cancer Prevention (WAOCP), APOCP's West Asia Chapter.}, issn = {1513-7368}, eissn = {2476-762X}, doi = {10.31557/APJCP.2019.20.4.1025}, abstract = {Background: Deep venous thrombosis (DVT) is associated with severe morbidity and mortality in cancer. Plateletdistribution width (PDW), a platelet index, indicates variation in platelet size. We aimed to investigate whether thecombination of D-dimer and PDW could have a better performance in predicting DVT in patients with cervicalcarcinoma. 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 cervicalcarcinoma patients before surgery, as well as one month, three months, six months, and 12 months. Results: During amedian period of 12 months, 17 of the 198 patients (8.6 %) developed DVT. PDW levels were reduced and D-dimerlevels were increased in patients with DVT events compared to those without DVT. Multivariate Cox analysis revealedthat 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 to0.833, p<0.011) with the addition of PDW. Incorporation of PDW into the D-dimer model significantly improved thepredictive value. Conclusions: The combination of preoperative D-dimer and PDW improves the predictive power ofpostoperative DVT risk in patients with cervical carcinoma.}, keywords = {cervical carcinoma,D-dimer,activated platelets,Platelet distribution width,risk prediction}, url = {https://journal.waocp.org/article_86186.html}, eprint = {https://journal.waocp.org/article_86186_74203dd6dc7cd0442e9490c0724ba613.pdf} }