Does complete blood count have a role in the prediction of deep vein thrombosis?

Abstract

The aim of this study is to evaluate the importance of complete blood count parameters for predicting deep vein thrombosis.

Methods

It was planned as a retrospective case–control study in which 1,527 patients between January 2022 and September 2022 were evaluated. After the eligibility criteria, systematic sampling was performed and analyzed in the case group (103) and the control group (179) patients. The predictive significance of Hb, NLR, PLR, MPV, PLT, MPV/PLT, monocytes, lymphocytes, eosinophils, RDW, LMR, and PDW parameters for the development of DVT was investigated. Then, logistic regression analysis was performed with these parameters to analyze the predictive value. The cutoff point was determined by performing ROC analysis for the statistically significant parameters.

Results

Neutrophil, RDW, PDW, NLR, and MPV/platelet values were statistically higher in the DVT group than the control group. Lymphocyte, PLT, and LMR values were statistically lower in the DVT group than the control group. There was no statistical difference between the two groups in terms of neutrophils, monocytes, eosinophils, Hb, MPV, and PLR values. RDW and PDW values were statistically significant for DVT prediction (p < 0.001, OR = 1.183 and p < 0.001, OR = 1.304, respectively). According to ROC analysis, 45.5 fL for RDW and 14.3 fL for PDW were determined as the cutoff points for DVT prediction.

Conclusion

We found RDW and PDW to be significant in terms of DVT prediction in our study. We found the NLR and MPV/PLT to be higher in the DVT group, and the LMR to be lower in the DVT group, but we found that there was no statistically significant predictive value. CBC can be used as an inexpensive and easily accessible test that has predictive significance for DVT. In addition, these findings need to be supported by prospective studies in the future.