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Change in Red Cell Distribution Width as Predictor of Death and Neurologic Outcome in Patients Treated with Therapeutic Hypothermia after Out-of-Hospital Cardiac Arrest

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Background: The prognostic significance of change in red cell distribution width (RDW) during hospital stays in patients treated with therapeutic hypothermia (TH) after out-of-hospital cardiac arrest (OHCA) was investigated. Methods: Patients treated with TH after OHCA between January 2009 and August 2013 were reviewed. Patients with return of spontaneous circulation (ROSC) were assessed according to Utstein Style. Hematologic variables including RDW, hematocrit, white blood cell count, and platelets were also obtained. RDW changes during the 72 hours after ROSC were categorized into five groups as follows: Group 1 (-0.8-0.1%), Group 2 (0.2-0.3%), Group 3 (0.4-0.5%), Group 4 (0.6-0.8%), and Group 5 (>0.8%). Results: A total of 218 patients were enrolled in the study. RDW changes during the 72 hours after ROSC in Group 4 (HR 3.56, 95% CI 1.25-10.20) and Group 5 (HR 5.07, 95% CI 1.73-14.89) were associated with a statistically significant difference in one-month mortality. RDW changes were associated with statistically significant differences in neurologic outcome at 6 months after ROSC (Group 3 [HR 2.45, 95% CI 1.17-5.14], Group 4 [HR 2.79, 95% CI 1.33-5.84], Group 5 [HR 3.50, 95% CI 1.35-7.41]). Other significant variables were location of arrest, cause of arrest, serum albumin, and advanced cardiac life support time. Conclusions: RDW change during the 72 hours after ROSC is a predictor of mortality and neurologic outcome in patients treated with TH after OHCA.

Abstract

Background: The prognostic significance of change in red cell distribution width (RDW) during hospital stays in patients treated with therapeutic hypothermia (TH) after out-of-hospital cardiac arrest (OHCA) was investigated. Methods: Patients treated with TH after OHCA between January 2009 and August 2013 were reviewed. Patients with return of spontaneous circulation (ROSC) were assessed according to Utstein Style. Hematologic variables including RDW, hematocrit, white blood cell count, and platelets were also obtained. RDW changes during the 72 hours after ROSC were categorized into five groups as follows: Group 1 (-0.8-0.1%), Group 2 (0.2-0.3%), Group 3 (0.4-0.5%), Group 4 (0.6-0.8%), and Group 5 (>0.8%). Results: A total of 218 patients were enrolled in the study. RDW changes during the 72 hours after ROSC in Group 4 (HR 3.56, 95% CI 1.25-10.20) and Group 5 (HR 5.07, 95% CI 1.73-14.89) were associated with a statistically significant difference in one-month mortality. RDW changes were associated with statistically significant differences in neurologic outcome at 6 months after ROSC (Group 3 [HR 2.45, 95% CI 1.17-5.14], Group 4 [HR 2.79, 95% CI 1.33-5.84], Group 5 [HR 3.50, 95% CI 1.35-7.41]). Other significant variables were location of arrest, cause of arrest, serum albumin, and advanced cardiac life support time. Conclusions: RDW change during the 72 hours after ROSC is a predictor of mortality and neurologic outcome in patients treated with TH after OHCA.

참고문헌 (20)

  1. Go AS, "Heart disease and stroke statistics--2013update: a report from the American heart association", Circulation, 127, pp.e1~e240 (2013)
  2. Pell JP, "Presentation, management, and outcome of out of hospital cardiopulmonary arrest: comparison by underlying aetiology", Heart, 89, pp.839~842 (2003)
  3. Atwood C, "Incidence of EMS-treated out-of-hospital cardiac arrest in Europe", Resuscitation, 67, pp.75~80 (2005)
  4. (2012)[URL]
  5. Neumar RW, "Post-cardiac arrest syndrome: epidemiology, pathophysiology, treatment, and prognostication. A consensus statement from the International liaison committee on resuscitation (American heart association, Australian and New Zealand Council on resuscitation, European resuscitation council, heart and stroke foundation of Canada, InterAmerican heart foundation, resuscitation council of Asia, and the resuscitation council of Southern Africa); the American heart association emergency cardiovascular care committee; the council on cardiovascular surgery and anesthesia; the council on cardiopulmonary, perioperative, and critical care; the council on clinical cardiology; and the stroke council", Circulation, 118, pp.2452~2483 (2008)
  6. Peberdy MA, "Part 9: post-cardiac arrest care 2010 American heart association guidelines for cardiopulmonary resuscitation and emergency cardiovascular care", Circulation, 122, pp.S768~S786 (2010)
  7. Sasson C, "Predictors of survival from out-of-hospital cardiac arrest: a systematic review and meta-analysis", Circ Cardiovasc Qual Outcomes, 3, pp.63~81 (2010)
  8. Fugate JE, "Predictors of neurologic outcome in hypothermia after cardiac arrest", Ann Neurol, 68, pp.907~914 (2010)
  9. Sandroni C, "In-hospital cardiac arrest: incidence, prognosis and possible measures to improve survival", Intensive Care Med, 33, pp.237~245 (2007)
  10. Scolletta S, "Biomarkers as predictors of outcome after cardiac arrest", Expert Rev Clin Pharmacol, 5, pp.687~699 (2012)
  11. Morris M, "Basic examination of blood. In:Clinical diagnosis and management by laboratory methods", pp.544~545 (2001), W.B. Saunders Company
  12. Demir A, "Most reliable indices in differentiation between thalassemia and trait and iron deficiency anemia", Pediatr Int, 44, pp.612~616 (2002)
  13. Majercik S, "Red cell distribution width is predictive of mortality in trauma patients", J Trauma Acute Care Surg, 74, pp.1021~1026 (2013)
  14. Kim J, "Red blood cell distribution width as an independent predictor of all-cause mortality in out of hospital cardiac arrest", Resuscitation, 83, pp.1248~1252 (2012)
  15. Lee JH, "Red cell distribution width as a prognostic marker in patients with community-acquired pneumonia", Am J Emerg Med, 31, pp.72~79 (2013)
  16. Slaughter E, "Changes in red blood cell width distribution as a novel biomarker for bacteremia", Crit Care Med, 41, pp.A259~ (2013)
  17. (2013)[URL]
  18. Cavusoglu E, "Relation between red blood cell distribution width (RDW) and all-cause mortality at two years in an unselected population referred for coronary angiography", Int J Cardiol, 141, pp.141~146 (2010)
  19. Al-Najjar Y, "Red cell distribution width: an inexpensive and powerful prognostic marker in heart failure", Eur J Heart Fail, 11, pp.1155~1162 (2009)
  20. Chen PC, "Red blood cell distribution width and risk of cardiovascular events and mortality in a community cohort in Taiwan", Am J Epidemiol, 171, pp.214~220 (2010)

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