A multivariable model for predicting the need for blood transfusion in patients undergoing first-time elective coronary bypass graft surgery
A multivariable model for predicting the need for blood transfusion in patients undergoing first-time elective coronary bypass graft surgery
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DOI:
10.1046/j.1537-2995.2001.41101193.x
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发表时间:
2001-10-01
期刊:
影响因子:
2.9
通讯作者:
Sher, GD
中科院分区:
文献类型:
--
作者:
Karkouti, K;Cohen, MM;Sher, GD
BACKGROUND: The incidence of blood transfusion in coronary artery bypass graft (CABG) surgery remains high, Preoperative identification of those at high risk for requiring blood will allow for the cost-effective use of some blood conservation modalities. Multivariable analysis techniques were used in this study to develop a prediction rule for such a purpose.STUDY DESIGN AND METHODS: Data were prospectively collected for all patients undergoing elective first-time CABG surgery from January 1997 to September 1998 at a tertiary-care teaching hospital (n = 1007). The prediction rule was developed on the first two-thirds of the sample by using logistic regression methods to examine the relationship of patient demographics, comorbidities, and preoperative Hb with perioperative blood transfusion. The remaining one-third of the sample was used to validate the rule.RESULTS: The transfusion rate was 29.4 percent. The prediction rule included preoperative Hb (g/dL, OR 0.928, p