The relation between mean platelet volume and platelet distribution width to COVID-19 severity
DOI:
https://doi.org/10.18203/2349-3933.ijam20212853Keywords:
MPV, PDW, D-dimer, COVID-19Abstract
Background: Wide spectrum of clinical manifestation and severity of COVID-19 led to further studies to find a simple biomarker used to predict the severity of COVID-19. We investigated the role of mean platelet volume (MPV) and platelet distribution width (PDW), widely available parameters, as predictor of COVID-19 severity.
Methods: We conducted a single center analytic observational study to evaluate the relationship between MPV and PDW values and COVID-19 severities. A total of 123 subjects of COVID-19 within October to December 2020 included in the analysis.
Results: Analysis showed a statistically significant difference in MPV, PDW, and D-dimer between COVID-19 severities (p<0.001, p=0.002, and p<0.001). Correlation coefficient between MPV, PDW, and D-dimer with COVID-19 severity were 0.28 (p=0.002); 0.22 (p<0.001), and 0.81 (p<0.001), but there’s no correlation between MPV (p=0.176) and PDW (p=0.383) with D-dimer. The AUC value of the ROC curve of MPV, PDW and D-dimer in predicting severity was 79% (p=0.001, 95% CI: 0.696-0.885), 72.5% (p<0.001, 95% CI: 0.598-0.852), and 97% (p<0.001, 95% CI: 0.937-1.00).
Conclusions: This study found a relationship between MPV and PDW values on the severity of COVID-19. There’s no relationship of MPV and PDW to D-dimer concentration.
Metrics
References
Liu YC, Kuo RL, Shih SR. COVID-19: The first documented coronavirus pandemic in history. Biomed J. 2020;43(4):328-33.
Huang C, Wang Y, Li X, Ren L, Zhao J, Hu Y, et al. Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China. Lancet. 2020;395(10223):497-506.
Izcovich A, Ragusa MA, Tortosa F, Lavena MMA, Agnoletti C, Bengolea A, et al. Prognostic factors for severity and mortality in patients infected with COVID-19: A systematic review. PLoS One. 2020;15(11):241955.
Chen Y, Zhong H, Zhao Y, Luo X, Gao W. Role of platelet biomarkers in inflammatory response. Biomark Res. 2020;8(1):28.
Afsar N, Afroze IA, Tahniath H, Abid Z. Role of Mean platelet Volume as an adjunct in evaluation of acute inflammation. Ann Pathol Lab Med. 2017;4(4):466-9.
Li X, Geng M, Peng Y, Meng L, Lu S. Molecular immune pathogenesis and diagnosis of COVID-19. J Pharm Anal. 2020;10(2):102-8.
Nicolai L, Leunig A, Brambs S, Kaiser R, Weinberger T, Weigand M, et al. Immunothrombotic Dysregulation in COVID-19 Pneumonia Is Associated With Respiratory Failure and Coagulopathy. Circulation. 2020;142(12):1176-89.
Smyth SS, Ever RP, Weyrich AS, Morrell CN, Hoffman MR, Arepally GM, et al. Platelet functions beyond hemostasis. J Thromb Haemost. 2009;7(11):1759-66.
Guclu E, Durmaz Y, Karabay O. Effect of severe sepsis on platelet count and their indices. Afr Health Sci. 2013;13(2):333-8.
Taus F, Salvagno G, Cane S, Fava C, Mazzaferri F, Carrara E, et al. Platelets Promote Thromboinflammation in SARS-CoV-2 Pneumonia. Arterioscler Thromb Vasc Biol. 2020;40(12):2975-89.
Rampotas A, Pavord S. Platelet aggregates, a marker of severe COVID-19 disease. J Clin Pathol. 2020;206933.
Guçlu E, Kocayigit H, Okan HD, Erkorkmaz U, Yurumez Y, Yaylacı S, et al. Effect of COVID-19 on platelet count and its indices. Rev Assoc Med Bras. 2020;66(8):1122-7.
Gunluoglu G, Yazar EE, Veske NS, Seyhan EC, Altin S. Mean platelet volume as an inflammation marker in active pulmonary tuberculosis. Multidiscip Respir Med. 2014;9(1):11.
Korniluk A, Koper LOM, Kaminska J, Kemona H, Dymicka PV. Mean Platelet Volume (MPV): New Perspectives for an Old Marker in the Course and Prognosis of Inflammatory Conditions. Mediators Inflamm. 2019;1-14.
Lippi G, Favaloro EJ. D-dimer is Associated with Severity of Coronavirus Disease 2019: A Pooled Analysis. Thromb Haemost. 2020;120(5):876-8.
Hunt BJ, Levi M. The source of elevated plasma D‐dimer levels in COVID‐19 infection. Br J Haematol. 2020;190(3).