Limited utility of algorithms predicting blood transfusions

Blood Transfusion

Volumn 11, Issue 3, 2013, Pages 426-432

  Karger, Ralf ^a,b   Bornmann, Andrea ^a   Kretschmer, Volker ^c  

^a PHILIPPS UNIVERSITY MARBURG   (Germany)

^b Laboratory and Medical practice for Transfusion Medicine   (Germany)

^c MVZ Labor Duisburg GmbH   (Germany)

Author keywords

Allogeneic transfusion; Clinical prediction rule; Pre operative autologous blood donation; Primary total hip arthroplasty; Transfusion risk

Indexed keywords

HEMOGLOBIN;

ALGORITHM; ARTICLE; BLOOD AUTOTRANSFUSION; BLOOD DONOR; BLOOD TRANSFUSION; COHORT ANALYSIS; HEMATOCRIT; HUMAN; MAJOR CLINICAL STUDY; PREDICTION; PREOPERATIVE AUTOLOGOUS BLOOD DONATION; PREOPERATIVE CARE; PROGNOSIS; RISK REDUCTION; SURGICAL PATIENT; TOTAL HIP PROSTHESIS; AGED; CLINICAL TRIAL; COMPARATIVE STUDY; CONTROLLED STUDY; FEMALE; HIP ARTHROPLASTY; MALE; MIDDLE AGED; MULTICENTER STUDY; RANDOMIZED CONTROLLED TRIAL; RISK FACTOR;

AGED; ALGORITHMS; ARTHROPLASTY, REPLACEMENT, HIP; BLOOD DONORS; BLOOD TRANSFUSION, AUTOLOGOUS; FEMALE; HUMANS; MALE; MIDDLE AGED; PREOPERATIVE CARE; RISK FACTORS;

EID: 84882313039     PISSN: 17232007     EISSN: None     Source Type: Journal    
DOI: 10.2450/2012.0048-12     Document Type: Article

References (24)

1. Karger R, Stangenberg K, Hinrichs F, et al. Safety and efficacy of unmodified whole blood versus buffy coat-depleted red cell concentrates in autologous transfusion of elective orthopaedic surgery patients. Transfus Med 2004; 14: 347-57.
2. Etchason J, Petz L, Keeler E, et al. The cost-effectiveness of preoperative autologous blood donation. N Engl J Med 1995; 332: 719-24.
3. Mercuriali F, Inghilleri G. Proposal of an algorithm to help the choice of the best transfusion strategy. Curr Med Res Opin 1996; 13: 465-78.
4. Nuttall GA, Santrach PJ, Oliver WC Jr, et al. Possible guidelines for autologous red blood cell donations before total hip arthroplasty based on the surgical blood order equation. Mayo Clin Proc 2000; 75: 10-7.
5. Kajja I, Bimenya GS, Eindhoven GB, et al. Surgical blood order equation in femoral fracture surgery. Transfus Med 2011; 21: 7-12.
6. Frietsch T, Karger R, Schöler M, et al. Leukodepletion of autologous whole blood has no impact on perioperative infection rate and length of hospital stay. Transfusion 2008; 48: 2133-42.
7. Nadler SB, Hidalgo JU, Bloch T. Prediction of blood volume in normal human adults. Surgery 1962; 51: 224-32.
8. Karger R, Slonka J, Junck H, Kretschmer V. Extracorporeal blood volume of donors during automated intermittentflow plasmapheresis and its relevance to the prevention of circulatory reactions. Transfusion 2003; 43: 1096-106.
9. Forgie MA, Wells PS, Laupacis A, et al. Preoperative autologous donation decreases allogeneic transfusion but increases exposure to all red blood cell transfusion. Arch Intern Med 1998; 158: 610-6.
10. Carless P, Moxey A, O'Connell D, Henry D. Autologous transfusion techniques: a systematic review of their efficacy. Transfus Med 2004; 14: 123-44.
11. Nuttall GA, Santrach PJ, Oliver WC Jr, et al. The predictors of red cell transfusions in total hip arthroplasties. Transfusion 1996; 36: 144-9.
12. Hilden J, Habbema JDF. Prognosis in medicine: an analysis of its meaning and roles. Theor Med 1987; 8: 349-65.
13. Laupacis A, Sekar N, Stiell IG. Clinical prediction rules. A review of suggested modifications and methodological standards. JAMA 1997; 277: 488-94.
14. Altman DG, Royston D. What do we mean by validating a prognostic model? Stat Med 2000; 19: 453-73.
15. Vergouwe Y, Steyerberg EW, Eijkemans MJC, Habbema JDF. Validity of prognostic models: when is a model clinically useful? Semin Urol Oncol 2002; 20: 96-107.
16. Reilly BM, Evans AT. Translating clinical research into clinical practice: impact of using prediction rules to make decisions. Ann Intern Med 2006; 144: 201-9.
17. Krupp NL, Weinstein G, Chalian A, et al. Validation of a transfusion prediction model in head and neck cancer surgery. Arch Otolaryngol Head Neck Surg 2003; 129: 1297-302.
18. Guerin S, Collins C, Kapoor H, et al. Blood transfusion requirement prediction in patients undergoing primary total hip and knee arthroplasty. Transfus Med 2007; 17: 37-43.
19. Palmer T, Wahr JA, O'Reilly M, Greenfield ML. Reducing unnecessary cross-matching: a patient-specific blood ordering system is more accurate in predicting who will receive a blood transfusion than the maximum blood ordering system. Anesth Analg 2003; 96: 369-75.
20. Karger R, Kretschmer V. Evaluation of blood ordering algorithms [letter]. Anesth Analg 2003; 97, 927.
21. Hunink MGM, Glasziou PP, Siegel JE, et al. Decision Making in Health and Medicine. Integrating Evidence and Values. 1st edn. Cambridge, UK: Cambridge University Press; 2001.
22. Welsby I, Crow J, Bandarenko N, et al. A clinical prediction tool to estimate the number of units of red blood cells needed in primary elective coronary artery bypass surgery. Transfusion 2010; 50: 2337-43.
23. Justice AC, Covinsky KE, Berlin JA. Assessing the generalizability of prognostic information. Ann Intern Med 1999; 130: 515-24.
24. Bundesärztekammer. Richtlinien zur Gewinnung von Blut und Blutbestandteilen und zur Anwendung von Blutprodukten (Hämotherapie). Köln: Deutscher Ärzte-Verlag; 2010.