Cytokines and clinical predictors in distinguishing pulmonary transfusion reactions

Transfusion

Volumn 55, Issue 8, 2015, Pages 1838-1846

  Roubinian, Nareg H ^a,b   Looney, Mark R ^b   Kor, Daryl J ^c   Lowell, Clifford A ^a   Gajic, Ognjen ^c   Hubmayr, Rolf D ^c   Gropper, Michael A ^b   Koenigsberg, Monique ^b   Wilson, Gregory A ^c   Matthay, Michael A ^b   Toy, Pearl ^b   Murphy, Edward L ^a  

^a BLOOD SYSTEMS RESEARCH INSTITUTE   (United States)

^b UNIVERSITY OF CALIFORNIA   (United States)

^c MAYO CLINIC   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

GRANULOCYTE MACROPHAGE COLONY STIMULATING FACTOR; INTERLEUKIN 10; INTERLEUKIN 6; INTERLEUKIN 8; TUMOR NECROSIS FACTOR ALPHA; BIOLOGICAL MARKER; CYTOKINE;

ADULT; AREA UNDER THE CURVE; ARTICLE; ASPIRATION; BLOOD SAMPLING; BLOOD TRANSFUSION REACTION; CONTROLLED STUDY; FEMALE; HUMAN; MAJOR CLINICAL STUDY; MALE; MIDDLE AGED; PNEUMONIA; PREDICTOR VARIABLE; RECEIVER OPERATING CHARACTERISTIC; SEPSIS; SHOCK; STATISTICAL SIGNIFICANCE; TRANSFUSION ASSOCIATED CIRCULATORY OVERLOAD; TRANSFUSION RELATED ACUTE LUNG INJURY; ACUTE LUNG INJURY; ADVERSE EFFECTS; AGED; ALARM MONITOR; ANOXIA; BIOLOGICAL MODEL; BLOOD; BLOOD TRANSFUSION; BLOOD VOLUME; CASE CONTROL STUDY; CLASSIFICATION; COMPLICATION; HYDROSTATIC PRESSURE; INFLAMMATION; PATHOLOGY; PULMONARY EDEMA; RISK FACTOR; VENTILATOR-INDUCED LUNG INJURY;

ACUTE LUNG INJURY; ADULT; AGED; ANOXIA; AREA UNDER CURVE; BIOMARKERS; BLOOD TRANSFUSION; BLOOD VOLUME; CASE-CONTROL STUDIES; CLINICAL ALARMS; CYTOKINES; FEMALE; HUMANS; HYDROSTATIC PRESSURE; INFLAMMATION; MALE; MIDDLE AGED; MODELS, BIOLOGICAL; PULMONARY EDEMA; RISK FACTORS; ROC CURVE; TRANSFUSION REACTION; VENTILATOR-INDUCED LUNG INJURY;

EID: 84938948392     PISSN: 00411132     EISSN: 15372995     Source Type: Journal    
DOI: 10.1111/trf.13021     Document Type: Article

References (32)

1. Popovsky MA,. Pulmonary consequences of transfusion: TRALI and TACO. Transfus Apher Sci 2006; 34: 243-4.
2. Li G, Kojicic M, Reriani MK, et al., Long-term survival and quality of life after transfusion associated pulmonary edema in critically ill medical patients. Chest 2010; 137: 783-9.
3. Maisel AS, Krishnaswamy P, Nowak RM, et al., Rapid measurement of B-type natriuretic peptide in the emergency diagnosis of heart failure. N Engl J Med 2002; 347: 161-7.
4. Mueller C, Scholer A, Laule-Kilian K, et al., Use of B-type natriuretic peptide in the evaluation and management of acute dyspnea. N Engl J Med 2004; 350: 647-54.
5. Hamm CW, Goldmann BU, Heeschen C, et al., Emergency room triage of patients with acute chest pain by means of rapid testing for cardiac troponin T or troponin I. N Engl J Med 1997; 337: 1648-53.
6. Antman EM, Tanasijevic MJ, Thompson B, et al., Cardiac-specific troponin I levels to predict the risk of mortality in patients with acute coronary syndromes. N Engl J Med. 1996; 335: 1342-9.
7. Li G, Daniels CE, Kojicic M, et al., The accuracy of natriuretic peptides (brain natriuretic peptide and N-terminal pro-brain natriuretic) in the differentiation between transfusion-related acute lung injury and transfusion-related circulatory overload in the critically ill. Transfusion 2009; 49: 13-20.
8. Agrawal A, Zhuo H, Brady S, et al., Pathogenetic and predictive value of biomarkers in patients with ALI and lower severity of illness: Results from two clinical trials. Am J Physiol Lung Cell Mol Physiol 2012; 303: L634-9.
9. Agrawal A, Matthay MA, Kangelaris KN, et al., Plasma angiopoietin-2 predicts the onset of acute lung injury in critically ill patients. Am J Respir Crit Care Med 2013; 187: 736-42.
10. Toy P, Gajic O, Bacchetti P, et al.,; TRALI Study Group. Transfusion-related acute lung injury: incidence and risk factors. Blood 2012; 119: 1757-67.
11. Vlaar AP, Hofstra JJ, Determann RM, et al., Transfusion-related acute lung injury in cardiac surgery patients is characterized by pulmonary inflammation and coagulopathy: a prospective nested case-control study. Crit Care Med 2012; 40: 2813-20.
12. Finlay HE, Cassorla L, Feiner J, Toy P,. Designing and testing a computer-based screening system for transfusion-related acute lung injury. Am J Clin Pathol 2005; 124: 601-9.
13. Division of Healthcare Quality Promotion, National Center for Emerging and Zoonotic Infectious Diseases, Centers for Disease Control and Prevention (CDC). The National Healthcare Safety Network (NHSN) Manual, Biovigilance Component. Atlanta, GA: CDC; Jul 2010.
14. Murphy EL, Kwaan N, Looney MR, et al.,; TRALI Study Group. Risk factors and outcomes in transfusion-associated circulatory overload. Am J Med 2013; 126: 357.e29-38.
15. Skeate RC, Eastlund T,. Distinguishing between transfusion related acute lung injury and transfusion associated circulatory overload. Curr Opin Hematol 2007; 14: 682-7.
16. Gajic O, Gropper MA, Hubmayr RD,. Pulmonary edema after transfusion: how to differentiate transfusion-associated circulatory overload from transfusion-related acute lung injury. Crit Care Med 2006; 34: S109-13.
17. Kleinman SH, Triulzi DJ, Murphy EL, et al., National Heart, Lung, and Blood Institute Retrovirus Epidemiology Donor Study-II. The Leukocyte Antibody Prevalence Study-II (LAPS-II): a retrospective cohort study of transfusion-related acute lung injury in recipients of high-plasma-volume human leukocyte antigen antibody-positive or -negative components. Transfusion 2011; 51: 2078-91.
18. Looney MR, Roubinian N, Gajic O, et al.,; Transfusion-Related Acute Lung Injury Study Group. Prospective study on the clinical course and outcomes in transfusion-related acute lung injury. Crit Care Med 2014; 42: 1676-87.
19. Triulzi DJ,. Transfusion-related acute lung injury: an update. Hematol Am Soc Hematol Educ Program 2006; 497-501.
20. Looney MR, Gropper MA, Matthay MA,. Transfusion-related acute lung injury: a review. Chest 2004; 126: 249-58.
21. Dennis KL, Blatner NR, Gounari F, Khazaie K,. Current status of interleukin-10 and regulatory T-cells in cancer. Curr Opin Oncol 2013; 25: 637-45.
22. Filippi CM, von Herrath MG,. IL-10 and the resolution of infections. J Pathol 2008; 214: 224-30.
23. Stenvinkel P, Ketteler M, Johnson RJ, et al., IL-10, IL-6, and TNF-alpha: central factors in the altered cytokine network of uremia-the good, the bad, and the ugly. Kidney Int 2005; 67: 1216-33.
24. O'Meara E, Rouleau JL, White M, et al.,; ANCHOR Investigators. Heart failure with anemia: novel findings on the roles of renal disease, interleukins, and specific left ventricular remodeling processes. Circ Heart Fail 2014; 7: 773-81.
25. Aukrust P, Gullestad L, Uel T, et al., Inflammatory and anti-inflammatory cytokines in chronic heart failure: potential therapeutic implications. Ann Med 2005; 37: 74-85.
26. Jawa RS, Anillo S, Huntoon K, et al., Interleukin-6 in surgery, trauma, and critical care part II: clinical implications. J Intensive Care Med 2011; 26: 73-87.
27. National Heart, Lung, and Blood Institute Acute Respiratory Distress Syndrome (ARDS) Clinical Trials Network, Wiedemann HP, Wheeler AP, Bernard GR, et al., Comparison of two fluid-management strategies in acute lung injury. N Engl J Med 2006; 354: 2564-75.
28. Narick C, Triulzi DJ, Yazer MH,. Transfusion-associated circulatory overload after plasma transfusion. Transfusion 2012; 52: 160-5.
29. Clifford L, Singh A, Wilson GA, et al., Electronic health record surveillance algorithms facilitate the detection of transfusion-related pulmonary complications. Transfusion 2013; 53: 1205-16.
30. Cohn CS, Welbig J, Bowman R, et al., A data-driven approach to patient blood management. Transfusion 2014; 54: 316-22.
31. McWilliams B, Triulzi DJ, Waters JH, et al., Trends in RBC ordering and use after implementing adaptive alerts in the electronic computerized physician order entry system. Am J Clin Pathol 2014; 141: 534-41.
32. Yazer MH, Triulzi DJ, Reddy V, Waters JH,. Effectiveness of a real-time clinical decision support system for computerized physician order entry of plasma orders. Transfusion 2013; 53: 3120-7.