Open Access
Issue
J Extra Corpor Technol
Volume 53, Number 2, June 2021
Page(s) 125 - 129
DOI https://doi.org/10.1051/ject/202153125
Published online 15 June 2021
  1. Omar HR, Mirsaeidi M, Socias S, et al. . Plasma free hemoglobin is an independent predictor of mortality among patients on extracorporeal membrane oxygenation support. PLoS One. 2015;10:e0124034. [CrossRef] [PubMed] [Google Scholar]
  2. Borasino S, Kalra Y, Elam AR. Impact of hemolysis on acute kidney injury and mortality in children supported with cardiac extracorporeal membrane oxygenation. J Extra Corpor Technol. 2018;50:217–24. [PubMed] [Google Scholar]
  3. Dalton HJ, Cashen K, Reeder RW, et al. . Hemolysis during pediatric extracorporeal membrane oxygenation: Associations with circuitry, complications, and mortality. Pediatr Crit Care Med. 2018;19:1067–76. [CrossRef] [PubMed] [Google Scholar]
  4. Neal JR, Qintana E, Pike RB, et al. . Using daily plasma-free hemoglobin levels for diagnosis of critical pump thrombus in patients undergoing ECMO or VAD support. J Extra Corpor Technol. 2015;47:103–8. [PubMed] [Google Scholar]
  5. Lou S, MacLaren G, Best D, et al. . Hemolysis in pediatric patients receiving centrifugal pump extracorporeal membrane oxygenation: Prevalence, risk factors, and outcomes. Crit Care Med. 2014;42:1213–20. [CrossRef] [PubMed] [Google Scholar]
  6. Lyu L, Long C, Hei F, et al. . Plasma free hemoglobin is a predictor of acute renal failure during adult venous-arterial extracorporeal membrane oxygenation support. J Cardiothorac Vasc Anesth. 2016;30:891–5. [CrossRef] [PubMed] [Google Scholar]
  7. Katz JN, Jensen BC, Chang PP, et al. . A multicenter analysis of clinical hemolysis in patients supported with durable, long-term left ventricular assist device therapy. J Heart Lung Transpl. 2015;34:701–9. [CrossRef] [Google Scholar]
  8. Betrus C, Remenapp R, Charpie J, et al. . Enhanced hemolysis in pediatric patients requiring extracorporeal membrane oxygenation and continuous renal replacement therapy. Ann Thorac Cardiovasc Surg. 2007;13:378–83. [PubMed] [Google Scholar]
  9. Cowger JA, Romano MA, Shah P, et al. . Hemolysis: A harbinger of adverse outcome after left ventricular assist device implant. J Heart Lung Transpl. 2014;33:35–43. [CrossRef] [Google Scholar]
  10. Mamikonian LS, Mamo LB, Smith PB, et al. . Cardiopulmonary bypass is associated with hemolysis and acute kidney injury in neonates, infants, and children. Pediatr Crit Care Med. 2014;15:e111–119. [CrossRef] [PubMed] [Google Scholar]
  11. Akin S, Soliman OI, Constantinescu AA, et al. . Haemolysis as a first sign of thromboembolic event and acute pump thrombosis in patients with the continuous-flow left ventricular assist device HeartMate II. Neth Heart J. 2016;24:134–42. [CrossRef] [PubMed] [Google Scholar]
  12. Bartoli CR, Ghotra AS, Pachika AR, et al. . Hematologic markers better predict left ventricular assist device thrombosis than echocardiographic or pump parameters. Thorac Cardiovasc Surg. 2014;62:414–8. [CrossRef] [PubMed] [Google Scholar]
  13. Quinn CT, Smith EP, Arbabi S, et al. . Biochemical surrogate markers of hemolysis do not correlate with directly measured erythrocyte survival in sickle cell anemia. Am J Hematol. 2016;91:1195–201. [CrossRef] [PubMed] [Google Scholar]
  14. Franco RS. The measurement and importance of red cell survival. Am J Hematol. 2009;84:109–14. [CrossRef] [PubMed] [Google Scholar]
  15. Ballas SK. Lactate dehydrogenase and hemolysis in sickle cell disease. Blood. 2013;121:243–4. [CrossRef] [PubMed] [Google Scholar]
  16. Cadamuro J, von Meyer A, Wiedemann H, et al. Hemolysis rates in blood samples: Differences between blood collected by clinicians and nurses and the effect of phlebotomy training. Clin Chem Lab Med. 2016;54:1987–92. [CrossRef] [PubMed] [Google Scholar]

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