Skip to main content

Advertisement

SpringerLink
Log in

Impact of red blood cell distribution width and mean platelet volume in patients with ST-segment elevation myocardial infarction

  • Original Article
  • Published:
Heart and Vessels Aims and scope Submit manuscript

Abstract

The complete blood cell count is one of the most frequently ordered laboratory tests, and many parameters, including red blood cell distribution width (RDW) and mean platelet volume (MPV), are available. The purpose of this study was to investigate the usefulness of the combination of RDW and MPV in patients with ST-segment elevation myocardial infarction (STEMI). Patients with STEMI who underwent primary percutaneous coronary intervention were retrospectively enrolled (n = 229). The association between RDW as well as MPV and cardiovascular events was investigated. The median age was 67 years, and males made up 85% of the sample. Median RDW was 13.6%, and median MPV was 8.2 fL. During a median follow-up period of 528 days (IQR 331.5–920.5), 41 patients died or experienced major adverse cardiac and cerebrovascular events (MACCEs). Patients with RDW ≧ 13.7% had more deaths or MACCEs with marginal significance (p = 0.0799). Patients with MPV ≧ 8.3 fL had significantly more deaths or MACCEs (p = 0.0283). Patients with RDW ≧ 13.7% and MPV ≧ 8.3 fL had significantly more deaths or MACCEs (p = 0.0185). MPV was significantly associated with death or adverse events in patients with STEMI who were treated with primary PCI. RDW had only a weak association with death or adverse events. The results of the combination of MPV and RDW were similar to those of MPV.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3

Similar content being viewed by others

References

  1. Danese E, Lippi G, Montagnana M (2015) Red blood cell distribution width and cardiovascular diseases. J Thorac Dis 7:E402–E411

    PubMed  PubMed Central  Google Scholar 

  2. Imai R, Uemura Y, Okumura T, Takemoto T, Uchikawa T, Koyasu M, Ishikawa S, Iwamiya S, Ozaki Y, Shibata R, Watarai M, Murohara T (2017) Impact of red blood cell distribution width on non-cardiac mortality in patients with acute decompensated heart failure with preserved ejection fraction. J Cardiol 70:591–597

    Article  Google Scholar 

  3. Bujak K, Wasilewski J, Osadnik T, Jonczyk S, Kolodziejska A, Gierlotka M, Gasior M (2015) The prognostic role of red blood cell distribution width in coronary artery disease: a review of the pathophysiology. Dis Markers. https://doi.org/10.1155/2015/824624

    Article  PubMed  PubMed Central  Google Scholar 

  4. Sansanayudh N, Anothaisintawee T, Muntham D, McEvoy M, Attia J, Thakkinstian A (2014) Mean platelet volume and coronary artery disease: a systematic review and meta-analysis. Int J Cardiol 175:433–440

    Article  Google Scholar 

  5. Choi D-H, Kang S-H, Song H (2016) Mean platelet volume: a potential biomarker of the risk and prognosis of heart disease. Korean J Intern Med 31:1009–1017

    Article  Google Scholar 

  6. Chu SG, Becker RC, Berger PB, Bhatt DL, Eikelbloom JW, Konkle B, Mohler ER, Reilly MP, Berger JS (2010) Mean platelet volume as a predictor of cardiovascular risk: a systematic review and meta-analysis. J Thromb Haemost 8:148–156

    Article  CAS  Google Scholar 

  7. Alvitigala BY, Azra MAF, Kottahachchi DU, Jayasekera MMPT, Wijesinghe RANK (2018) A study of association between platelet volume indices and ST elevation myocardial infarction. Int J Cardiol Heart Vasc 21:7–10

    PubMed  PubMed Central  Google Scholar 

  8. Matsuo S, Imai E, Horio M, Yasuda Y, Tomita K, Nitta K, Yamagata K, Tomino Y, Yokoyama H, Hishida A, on behalf of the collaborators developing the Japanese equation for estimated GFR (2009) Revised equations for estimated GFR from serum creatinine in Japan. Am J Kid Dis 53:982–992

    Article  CAS  Google Scholar 

  9. May JE, Marques MB, Reddy VVB, Gangaraju R (2019) Three neglected numbers in the CBC: The RDW, MPV, and NRBC count. Cleveland Clinic J Med 86:167–172

    Article  Google Scholar 

  10. Budzianowski J, Pieszko K, Burchardt P, Rzeźniczak J, Hiczkiewicz J (2017) The role of hematological indices in patients with acute coronary syndrome. Dis Markers. https://doi.org/10.1155/2017/3041565

    Article  PubMed  PubMed Central  Google Scholar 

  11. Celik T, Kaya MG, Akpek M, Gunebakmaz O, Balta S, Sarli B, Duran M, Demirkol S, Uysal OK, Oguzhan A, Gibson CM (2015) Predictive value of admission platelet volume indices for in-hospital major adverse cardiovascular events in acute ST-segment elevation myocardial infarction. Angiology 66:155–162

    Article  Google Scholar 

  12. Huczek Z, Kochman J, Filipiak KJ, Horszczaruk GJ, Grabowski M, Piatkiwski R, Wilczynska J, Zielinski A, Meier B, Opolski G (2005) Mean platelet volume on admission predicts impaired reperfusion and long-term mortality in acute myocardial infarction treated with primary percutaneous coronary intervention. J Am Coll Cardiol 46:284–290

    Article  Google Scholar 

  13. Lekston A, Hudzik B, Hawranek M, Szkodzinski J, Gorol J, Wilczek K, Gasior M, Polonski L (2014) Prognostic significance of mean platelet volume in diabetic patients with ST-elevation myocardial infarction. J Diabetes Compl 28:652–657

    Article  Google Scholar 

  14. Haybar H, Pezeshki SMS, Saki N (2019) Evaluation of complete blood count parameters in cardiovascular diseases: an early indicator or prognosis? Exp Mol Pathol. https://doi.org/10.1016/j.yexmp.2019.104267

    Article  PubMed  Google Scholar 

  15. Wang X-Y, Yu H-Y, Zhang Y-Y, Wang Y-P, Feng X-H, Li Z-P, Du X-J, Gao W (2015) Serial changes of mean platelet volume in relation to Killip class in patients with acute myocardial infarction and primary percutaneous coronary intervention. Thromb Res 135:652–658

    Article  CAS  Google Scholar 

  16. Grabovac ZS, Baković D, Lozo M, Pintarić I, Dujić Ž (2017) Early changes in platelet size and number in patients with acute coronary syndrome. Int J Angiol 26:249–252

    Article  Google Scholar 

  17. De Luca G, Secco GG, Iorio S, Verdoia M, Bellomo G, Marino P (2012) Short-term effects of aspirin and clopidogrel on mean platelet volume among patients with acute coronary syndromes. A single-center prospective study. Blood Coagul Fibrinolysis 23:756–759

    Article  Google Scholar 

  18. Granger CB, Goldberg RJ, Dabbous O, Pieper KS, Eagle KA, Cannon CP, Van de Werf F, Avezum Á, Goodman SG, Flather MD, Fox KAA, Global Registry of Acute Coronary Events Investigators (2003) Predictors of hospital mortality in the global registry of acute coronary events. Arch Intern Med 163:2345–2353

    Article  Google Scholar 

  19. Eagle KA, Lim MJ, Dabbous OH, Pieper KS, Goldberg RJ, Van de Werf F, Goodman SG, Granger CB, Steg PG, Gore JM, Budaj A, Avezum Á, Flather MD, Fox KAA, the GRACE Investigators (2004) A validated prediction model for all forms of acute coronary syndrome: estimating the risk of 6 month postdischarge death in an international registry. JAMA 291:2727–2733

    Article  CAS  Google Scholar 

  20. Wan Z-F, Zhou D, Xue J-H, Wu Y, Wang H, Zhao Y, Zhu L, Yuan Z-Y (2014) Combination of mean platelet volume and the GRACE risk score better predicts future cardiovascular events in patients with acute coronary syndrome. Platelets 25:447–451

    Article  CAS  Google Scholar 

  21. Niu X, Yang C, Zhang Y, Zhang H, Yao Y (2015) Mean platelet volume on admission improves risk prediction in patients with acute coronary syndromes. Angiology 66:456–463

    Article  Google Scholar 

  22. Isik T, Kurt M, Ayhan E, Tanboga IH, Ergelen M, Uyarel H (2012) The impact of admission red cell distribution width on the development of poor myocardial perfusion after primary percutaneous intervention. Atherosclerosis 224:143–149

    Article  CAS  Google Scholar 

  23. Uyarel H, Ergelen M, Cicek G, Kaya MG, Ayhan E, Turkkan C, Yildirim E, Kirbas V, Onturk ET, Erer HB, Yesilcimen K, Gibson CM (2011) Red cell distribution width as a novel prognostic marker in patients undergoing primary angioplasty for myocardial infarction. Coron Artery Dis 22:138–144

    Article  Google Scholar 

  24. Abrahan LL, Ramos JDA, Cunanan EL, Tiongson MDA, Punzalan FER (2018) Red cell distribution width and mortality in patients with acute coronary syndrome: a meta-analysis on prognosis. Cardiol Res 9:144–152

    Article  Google Scholar 

  25. Lippi G, Filippozzi L, Montagnana M, Salvagno GL, Franchini M, Guidi GC, Targher G (2009) Clinical usefulness of measuring red blood cell distribution width on admission in patients with acute coronary syndromes. Clin Chem Lab Med 47:353–357

    CAS  PubMed  Google Scholar 

  26. Yčas JW, Horrow JC, Horne BD (2015) Persistent increase in red cell size distribution width after acute diseases: a biomarker of hypoxemia? Clin Chim Acta 448:107–117

    Article  Google Scholar 

Download references

Acknowledgements

None.

Author information

Authors and Affiliations

  1. Department of Laboratory Medicine and Clinical Investigation, Yokohama City University Medical Center, 4-57 Urafune-cho, Minami-ku, Yokohama, 232-0024, Japan

    Toshiaki Ebina, Shiori Tochihara, Mai Okazaki, Kazuyo Koike, Yuko Tsuto, Megumi Tayama, Yukiko Takanami, Haruka Hirose & Mutsuo Horii

  2. Division of Cardiology, Yokohama City University Medical Center, Yokohama, Japan

    Mutsuo Horii, Kozo Okada, Yasushi Matsuzawa, Nobuhiko Maejima, Noriaki Iwahashi, Kiyoshi Hibi, Masami Kosuge & Kazuo Kimura

  3. Department of Medical Science and Cardiorenal Medicine, Yokohama City University Graduate School of Medicine, Yokohama, Japan

    Kouichi Tamura

Authors
  1. Toshiaki Ebina
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Shiori Tochihara
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Mai Okazaki
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Kazuyo Koike
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Yuko Tsuto
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. Megumi Tayama
    View author publications

    You can also search for this author in PubMed Google Scholar

  7. Yukiko Takanami
    View author publications

    You can also search for this author in PubMed Google Scholar

  8. Haruka Hirose
    View author publications

    You can also search for this author in PubMed Google Scholar

  9. Mutsuo Horii
    View author publications

    You can also search for this author in PubMed Google Scholar

  10. Kozo Okada
    View author publications

    You can also search for this author in PubMed Google Scholar

  11. Yasushi Matsuzawa
    View author publications

    You can also search for this author in PubMed Google Scholar

  12. Nobuhiko Maejima
    View author publications

    You can also search for this author in PubMed Google Scholar

  13. Noriaki Iwahashi
    View author publications

    You can also search for this author in PubMed Google Scholar

  14. Kiyoshi Hibi
    View author publications

    You can also search for this author in PubMed Google Scholar

  15. Masami Kosuge
    View author publications

    You can also search for this author in PubMed Google Scholar

  16. Kouichi Tamura
    View author publications

    You can also search for this author in PubMed Google Scholar

  17. Kazuo Kimura
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Toshiaki Ebina.

Ethics declarations

Conflict of interest

The authors declare that there are no conflicts of interest concerning this research.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Ebina, T., Tochihara, S., Okazaki, M. et al. Impact of red blood cell distribution width and mean platelet volume in patients with ST-segment elevation myocardial infarction. Heart Vessels 37, 392–399 (2022). https://doi.org/10.1007/s00380-021-01936-6

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00380-021-01936-6

Keywords

Search

Navigation