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  • Title: The role of neutrophil-lymphocyte ratio, and mean platelet volume in detecting patients with acute venous thromboembolism.
    Author: Farah R, Nseir W, Kagansky D, Khamisy-Farah R.
    Journal: J Clin Lab Anal; 2020 Jan; 34(1):e23010. PubMed ID: 31508844.
    Abstract:
    BACKGROUND: Acute venous thromboembolism (VTE) refers to deep venous thrombosis (DVT) of the extremities or pulmonary embolism (PE), or to both. Reliable imaging is not always available making a serologic diagnosis, or biomarker, highly desirable. OBJECTIVE: This study aimed to examine the role of neutrophil-lymphocyte ratio (NLR), platelet-lymphocyte ratio (PLR), and mean platelet volume (MPV) in detection patients with acute VTE. METHODS: A total of 327 patients with initial diagnosis of acute VTE who were admitted to Ziv hospital were evaluated. Of them, 272 patients with definitive diagnosis of VTE, and 55 patients without VTE were used as control group. Complete blood count (CBC), measurements of NLR, MPV, and PLR were determined at admission. RESULTS: Patients with VTE were older than controls (62 ± 18.9 vs 55.4 ± 15.1 years, respectively, P = .03). Female gender was predominant in the two groups. In the study group, 178/272 (66%) had DVT, 84/272 (31%) had pulmonary embolism (PE), and the rest had DVT and PE. NLR, MPV, and PLR were found to be significantly elevated in acute VTE compared to control (P < .001, P = .008, P = .014, respectively). A ROC curve analysis of NLR and MPV for predicting acute VTE was performed which found a cut-off value of 5.3 for NLR, an area under curve of (0.67 (0.60-0.75), P < .001, with a sensitivity of 69% and specificity of 57%. and a cut-off value of 8.6 for MPV, an area under curve of (0.61 [0.53-0.68], P = .014, with a sensitivity of 52% and specificity of 67%. Multivariate logistic regression model found that NLR (OR 1.2, 95% CI [1.01-1.4], P = .041) and MPV (OR 1.5, 95%CI [1.07-2.12], P = .5) were associated with acute VTE. CONCLUSIONS: Neutrophil-lymphocyte ratio and MPV could be beneficial predictors for the early detection of potential acute VTE.
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