Beyazal Osman Fehmi
Department of Cardiovascular Surgery, Kırıkkale Yüksek İhtisas Hospital, Kırıkkale, Turkey.
Vascular. 2024 Oct;32(5):1107-1115. doi: 10.1177/17085381231175260. Epub 2023 May 8.
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.
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 ( < 0.001, OR = 1.183 and < 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.
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.
本研究计划为一项回顾性病例对照研究，对2022年1月至2022年9月期间的1527例患者进行评估。符合纳入标准后，对病例组（103例）和对照组（179例）患者进行系统抽样并分析。研究血红蛋白（Hb）、中性粒细胞与淋巴细胞比值（NLR）、血小板与淋巴细胞比值（PLR）、平均血小板体积（MPV）、血小板计数（PLT）、MPV/PLT、单核细胞、淋巴细胞、嗜酸性粒细胞、红细胞分布宽度（RDW）、淋巴细胞与单核细胞比值（LMR）和血小板分布宽度（PDW）参数对深静脉血栓形成（DVT）的预测意义。然后，对这些参数进行逻辑回归分析以分析预测价值。通过对具有统计学意义的参数进行ROC分析来确定截断点。
DVT组的中性粒细胞、RDW、PDW、NLR和MPV/血小板值在统计学上高于对照组。DVT组的淋巴细胞、PLT和LMR值在统计学上低于对照组。两组在中性粒细胞、单核细胞、嗜酸性粒细胞、Hb、MPV和PLR值方面无统计学差异。RDW和PDW值对DVT预测具有统计学意义（分别为<0.001，OR = 1.183和<0.001，OR = 1.304）。根据ROC分析，确定RDW为45.5 fL、PDW为14.3 fL作为DVT预测的截断点。
在我们的研究中，发现RDW和PDW对DVT预测具有重要意义。我们发现DVT组的NLR和MPV/PLT较高，LMR较低，但发现其无统计学意义的预测价值。血常规（CBC）可作为一种廉价且易于获得的检查，对DVT具有预测意义。此外，这些发现未来需要前瞻性研究的支持。
