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Neutrophil to lymphocyte ratio and cardiovascular diseases: a review

Bhat, Tariq, Teli, Sumaya, Rijal, Jharendra, Bhat, Hilal, Raza, Muhammad, Khoueiry, Georges, Meghani, Mustafain, Akhtar, Muhammad, Costantino, Thomas·2013·Expert Review of Cardiovascular Therapy

Abstract

The role of inflammatory markers in cardiovascular diseases has been studied extensively and a consistent relationship between various inflammatory markers and cardiovascular diseases has been established in the past. Neutrophil to lymphocyte ratio (NLR) is a new addition to the long list of these inflammatory markers. NLR, which is calculated from complete blood count with differential, is an inexpensive, easy to obtain, widely available marker of inflammation, which can aid in the risk stratification of patients with various cardiovascular diseases in addition to the traditionally used markers. It has been associated with arterial stiffness and high coronary calcium score, which are themselves significant markers of cardiovascular disease. NLR is reported as an independent predictor of outcome in stable coronary artery disease, as well as a predictor of short- and long-term mortality in patients with acute coronary syndromes. It is linked with increased risk of ventricular arrhythmias during percutaneous coronary intervention (PCI) and higher long-term mortality in patients undergoing PCI irrespective of indications of PCI. In patients admitted with advanced heart failure, high NLR was reported with higher inpatient mortality. Recently, NLR has been reported as a prognostic marker for outcome from coronary artery bypass grafting and postcoronary artery bypass grafting atrial fibrillation.

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Crossref · 10.1586/erc.12.159

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Citations

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Research works printed but not linked: 39

  1. Ates, 2011, Cardiol. J., 18, 371, 10.5603/CJ.2011.0045 · DOI
  2. Buckley, 2009, Ann. Intern. Med., 151, 483, 10.7326/0003-4819-151-7-200910060-00009 · DOI
  3. Danesh, 1998, JAMA, 279, 1477, 10.1001/jama.279.18.1477 · DOI
  4. Ensrud, 1992, Am. Heart J., 124, 207, 10.1016/0002-8703(92)90942-O · DOI
  5. Lee, 2001, Am. J. Epidemiol., 154, 758, 10.1093/aje/154.8.758 · DOI
  6. Guasti, 2011, Thromb. Haemost., 106, 591, 10.1160/TH11-02-0096 · DOI
  7. Pearson, 2003, Circulation, 107, 499, 10.1161/01.CIR.0000052939.59093.45 · DOI · Paper page
  8. Olivares, 1993, Am. J. Epidemiol., 137, 49, 10.1093/oxfordjournals.aje.a116601 · DOI
  9. Horne, 2005, J. Am. Coll. Cardiol., 45, 1638, 10.1016/j.jacc.2005.02.054 · DOI
  10. Papa, 2008, Clin. Chim. Acta, 395, 27, 10.1016/j.cca.2008.04.019 · DOI
  11. Kalay, 2012, Angiology, 63, 213, 10.1177/0003319711412763 · DOI
  12. Park, 2011, Clin. Chim. Acta, 412, 925, 10.1016/j.cca.2011.01.021 · DOI
  13. Tsai, 2007, Diabetes Metab. Res. Rev., 23, 111, 10.1002/dmrr.647 · DOI
  14. McCaig, 2001, Adv. Data, 320, 1
  15. Takakuwa, 2008, Radiology, 248, 438, 10.1148/radiol.2482072169 · DOI
  16. Romagnoli, 2010, Radiol. Med., 115, 341, 10.1007/s11547-009-0482-7 · DOI
  17. Mingels, 2012, PLoS ONE, 7, e35059, 10.1371/journal.pone.0035059 · DOI
  18. Zazula, 2008, Arq. Bras. Cardiol., 90, 31, 10.1590/S0066-782X2008000100006 · DOI
  19. Li, 2009, Chin. Med. J., 122, 1738
  20. Muhmmed Suliman, 2010, Arch. Med. Res., 41, 618, 10.1016/j.arcmed.2010.11.006 · DOI
  21. Tamhane, 2008, Am. J. Cardiol., 102, 653, 10.1016/j.amjcard.2008.05.006 · DOI
  22. Duffy, 2006, Am. J. Cardiol., 97, 993, 10.1016/j.amjcard.2005.10.034 · DOI
  23. Poludasu, 2009, Clin. Cardiol., 32, E6, 10.1002/clc.20503 · DOI
  24. Núñez, 2008, Am. J. Cardiol., 101, 747, 10.1016/j.amjcard.2007.11.004 · DOI
  25. Cho, 2011, Am. J. Cardiol., 107, 849, 10.1016/j.amjcard.2010.10.067 · DOI
  26. Kruk, 2008, Circ. J., 72, 205, 10.1253/circj.72.205 · DOI
  27. Blangy, 2007, Europace, 9, 724, 10.1093/europace/eum102 · DOI
  28. Konstantino, 2007, Clin. Cardiol., 30, 408, 10.1002/clc.20110 · DOI
  29. 10.1034/j.1399-6576.2003.00145.x · DOI
  30. Wu, 2012, Circ. Cardiovasc. Imaging, 5, 178, 10.1161/CIRCIMAGING.111.968024 · DOI
  31. Chatterjee, 2011, Cardiovasc. Hematol. Disord. Drug Targets, 11, 58, 10.2174/187152911798346981 · DOI
  32. Cooper, 1999, Am. J. Cardiol., 84, 252, 10.1016/S0002-9149(99)00272-6 · DOI
  33. Engström, 2009, Circ. Heart Fail., 2, 217, 10.1161/CIRCHEARTFAILURE.108.827071 · DOI
  34. Arruda-Olson, 2009, Circ. Cardiovasc. Qual. Outcomes, 2, 656, 10.1161/CIRCOUTCOMES.108.831024 · DOI
  35. Kyne, 2000, Am. Heart J., 139, 94, 10.1016/S0002-8703(00)90314-4 · DOI
  36. Rudiger, 2006, Am. J. Emerg. Med., 24, 451, 10.1016/j.ajem.2005.10.010 · DOI
  37. Uthamalingam, 2011, Am. J. Cardiol., 107, 433, 10.1016/j.amjcard.2010.09.039 · DOI
  38. Gibson, 2007, Am. Heart J., 154, 995, 10.1016/j.ahj.2007.06.043 · DOI · Paper page
  39. Gibson, 2010, Am. J. Cardiol., 105, 186, 10.1016/j.amjcard.2009.09.007 · DOI

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Metadata

Authors
Bhat, T., Teli, S., Rijal, J., Bhat, H., Raza, M., Khoueiry, G., Meghani, M., Akhtar, M., & Costantino, T.
Venue
Expert Review of Cardiovascular Therapy
Published
2013-01
Volume
11
Issue
1
Pages
55-59
ISSN
  • 1477-9072
  • 1744-8344
Cited by
600
References
3
Language
en

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