Zinc protoporphyrin levels have added value in the prediction of low hemoglobin deferral in whole blood donors

Transfusion

Volumn 53, Issue 8, 2013, Pages 1661-1669

  Baart, A Mireille ^b   De Kort, Wim L A M ^a   Moons, Karel G M ^a   Atsma, Femke ^a   Vergouwe, Yvonne ^a  

^a not available   (Netherlands)

^b Southeast Region   (Netherlands)

Author keywords

[No Author keywords available]

Indexed keywords

HEMOGLOBIN; PROTOPORPHYRIN ZINC;

ADULT; AGED; AMBULATORY CARE; ARTICLE; BLOOD DONOR; BLOOD SAMPLING; COMPARATIVE STUDY; CONFIDENCE INTERVAL; FEMALE; HEMOGLOBIN BLOOD LEVEL; HUMAN; IRON DEFICIENCY; MAJOR CLINICAL STUDY; MALE; PREDICTIVE VALUE; PROBABILITY; RISK;

EID: 84882456029     PISSN: 00411132     EISSN: 15372995     Source Type: Journal    
DOI: 10.1111/j.1537-2995.2012.03957.x     Document Type: Article

References (34)

1. European Directorate for the Quality of Medicines and HealthCare. Guide to the preparation, use and quality assurance of blood components, European Committee (partial agreement) on Blood Transfusion (CD-P-TS). Recommendation No. R(95) 15. 15th ed. Strasbourg: Council of Europe; 2009. p. 1899.
2. Halperin D, Baetens J, Newman B,. The effect of short-term, temporary deferral on future blood donation. Transfusion 1998; 38: 181-183.
3. Custer B, Chinn A, Hirschler NV, Busch MP, Murphy EL,. The consequences of temporary deferral on future whole blood donation. Transfusion 2007; 47: 1514-1523.
4. Zou S, Musavi F, Notari EP, Rios JA, Trouern-Trend J, Fang CT,. Donor deferral and resulting donor loss at the American Red Cross Blood Services, 2001 through 2006. Transfusion 2008; 48: 2531-2539.
5. Finch CA, Cook JD, Labbe RF, Culala M,. Effect of blood donation on iron stores as evaluated by serum ferritin. Blood 1977; 50: 441-447.
6. Skikne B, Lynch S, Borek D, Cook J,. Iron and blood donation. Clin Haematol 1984; 13: 271-287.
7. Simon TL, Garry PJ, Hooper EM,. Iron stores in blood donors. JAMA 1981; 245: 2038-2043.
8. Lamola AA, Yamane T,. Zinc protoporphyrin in the erythrocytes of patients with lead intoxication and iron deficiency anemia. Science 1974; 186: 936-938.
9. Labbe RF, Rettmer RL,. Zinc protoporphyrin: a product of iron-deficient erythropoiesis. Semin Hematol 1989; 26: 40-46.
10. Cook JD,. Clinical evaluation of iron deficiency. Semin Hematol 1982; 19: 6-18.
11. Kohgo Y, Niitsu Y, Kondo H, Kato J, Tsushima N, Sasaki K, Hirayama M, Numata T, Nishisato T, Urushizaki I,. Serum transferrin receptor as a new index of erythropoiesis. Blood 1987; 70: 1955-1958.
12. Baart AM, de Kort WL, Atsma F, Moons KG, Vergouwe Y,. Development and validation of a prediction model for low hemoglobin deferral in a large cohort of whole blood donors. Transfusion 2012.
13. The Commission of the European Communities. European Commissian Directive 2004/33/EC. 2004.
14. Hastka J, Lasserre JJ, Schwarzbeck A, Strauch M, Hehlmann R,. Washing erythrocytes to remove interferents in measurements of zinc protoporphyrin by front-face hematofluorometry. Clin Chem 1992; 38: 2184-2189.
15. Donders AR, van der Heijden GJ, Stijnen T, Moons KG,. Review: a gentle introduction to imputation of missing values. J Clin Epidemiol 2006; 59: 1087-1091.
16. Harrell FE Jr,. Design: design package. R package version 2.0. 2011. [cited 2011 Feb 10]. Available from: URL: http://biostat.mc.vanderbilt.edu/s/ Design
17. R Development Core Team. R: a language and environment for statistical computing. 2011. [cited 2011 Feb 10]. Available from: URL: http://www.R-project. org
18. Rubin DB, Schenker N,. Multiple imputation in health-care databases: an overview and some applications. Stat Med 1991; 10: 585-598.
19. Harrell FE Jr, Lee KL, Mark DB,. Multivariable prognostic models: issues in developing models, evaluating assumptions and adequacy, and measuring and reducing errors. Stat Med 1996; 15: 361-387.
20. Pencina MJ, D'Agostino RB Sr, D'Agostino RB Jr, Vasan RS,. Evaluating the added predictive ability of a new marker: from area under the ROC curve to reclassification and beyond. Stat Med 2008; 27: 157-172.
21. Pencina MJ, D'Agostino RB Sr, Steyerberg EW,. Extensions of net reclassification improvement calculations to measure usefulness of new biomarkers. Stat Med 2011; 30: 11-21.
22. Vickers AJ, Elkin EB,. Decision curve analysis: a novel method for evaluating prediction models. Med Decis Making 2006; 26: 565-574.
23. Vickers AJ, Cronin AM,. Traditional statistical methods for evaluating prediction models are uninformative as to clinical value: towards a decision analytic framework. Semin Oncol 2010; 37: 31-38.
24. Schifman RB, Rivers SL, Finley PR, Thies C,. RBC zinc protoporphyrin to screen blood donors for iron deficiency anemia. JAMA 1982; 248: 2012-2015.
25. Raftos J, Schuller M, Lovric VA,. Iron stores assessed in blood donors by hematofluorometry. Transfusion 1983; 23: 226-228.
26. Morse EE, Cable R, Pisciotto P, Kakaiya R, Kiraly T,. Evaluation of iron status in women identified by copper sulfate screening as ineligible to donate blood. Transfusion 1987; 27: 238-241.
27. Jensen BM, Sando SH, Grandjean P, Wiggers P, Dalhoj J,. Screening with zinc protoporphyrin for iron deficiency in non-anemic female blood donors. Clin Chem 1990; 36: 846-848.
28. Harthoorn-Lasthuizen EJ, Lindemans J, Langenhuijsen MM,. Zinc protoporphyrin as screening test in female blood donors. Clin Chem 1998; 44: 800-804.
29. Hastka J, Lasserre JJ, Schwarzbeck A, Strauch M, Hehlmann R,. Zinc protoporphyrin in anemia of chronic disorders. Blood 1993; 81: 1200-1204.
30. Graham EA, Felgenhauer J, Detter JC, Labbe RF,. Elevated zinc protoporphyrin associated with thalassemia trait and hemoglobin E. J Pediatr 1996; 129: 105-110.
31. Gorodetsky R, Fuks Z, Peretz T, Ginsburg H,. Elevation of erythrocyte zinc- and free protoporphyrins with metastatic spread in cancer patients. Eur J Cancer Clin Oncol 1986; 22: 1515-1521.
32. Steyerberg EW, Pencina MJ, Lingsma HF, Kattan MW, Vickers AJ, Van CB,. Assessing the incremental value of diagnostic and prognostic markers: a review and illustration. Eur J Clin Invest 2012; 42: 216-228.
33. Reilly BM, Evans AT,. Translating clinical research into clinical practice: impact of using prediction rules to make decisions. Ann Intern Med 2006; 144: 201-209.
34. Henriksson M, Palmer S, Chen R, Damant J, Fitzpatrick NK, Abrams K, Hingorani AD, Stenestrand U, Janzon M, Feder G, Keogh B, Shipley MJ, Kaski JC, Timmis A, Sculpher M, Hemingway H,. Assessing the cost effectiveness of using prognostic biomarkers with decision models: case study in prioritising patients waiting for coronary artery surgery. BMJ 2010; 340: b5606.