• Title of article

    Predicting transfusion in shoulder arthroplasty

  • Author/Authors

    Schumer، نويسنده , , Ross A. and Chae، نويسنده , , Jonathan S. and Markert، نويسنده , , Ronald J. and Sprott، نويسنده , , Dominic and Crosby، نويسنده , , Lynn A.، نويسنده ,

  • Issue Information
    روزنامه با شماره پیاپی سال 2010
  • Pages
    6
  • From page
    91
  • To page
    96
  • Abstract
    Background tudy was conducted to evaluate the incidence of transfusion in shoulder arthroplasty, determine clinical factors associated with increased risk for transfusion, and develop an algorithm to assist the surgeon in preoperative planning with regards to blood management. al and methods udy had 2 phases: (1) development of a clinical prediction rule for transfusion using 280 procedures and (2) a validation study of the algorithm applied to 109 new patients. Phase 1 consisted of a retrospective record review of 280 consecutive shoulder arthroplasties to determine risk factors for transfusion. Phase 1 also identified a preoperative hemoglobin level of less than 12.5 g/dL as predictive of the need for blood transfusion. This cutoff was prospectively applied to 109 patients undergoing shoulder arthroplasty in phase 2. s ansfusion rate for phase 1 was 19.6%. Preoperative hemoglobin level (P < .001), age (P= .003), and the number of comorbid conditions (P = .005) were statistically significant risk factors. Patients with a preoperative hemoglobin level of less than 12.5 g/dL have a 4-fold increased risk of requiring a blood transfusion. In phase 2, the cutoff of less than 12.5 g/dL yielded a sensitivity of 88%, specificity of 78%, and positive and negative likelihood ratios of 4.0 and 0.15, respectively. sion rative hemoglobin level, age, and number of comorbid conditions are all predictive of transfusion in shoulder arthroplasty. Tailoring blood ordering based on a preoperative hemoglobin level of 12.5 g/dL is safe and effective. of evidence stic study, level 2.
  • Keywords
    Shoulder arthroplasty , Transfusion , risk factors , Prediction , Comorbidities
  • Journal title
    Journal of Shoulder and Elbow Surgery
  • Serial Year
    2010
  • Journal title
    Journal of Shoulder and Elbow Surgery
  • Record number

    1868373