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Surgical blood order equation in femoral fracture surgery.

机译:股骨骨折手术中的手术血流方程。

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摘要

AIM: This study aimed at establishing the clinical utility of the surgical blood order equation (SBOE) in patients undergoing femoral fracture surgery. BACKGROUND: A blood ordering schedule defines the perioperative blood use in elective surgery. It lists the number of units of blood required for each procedure preoperatively. MATERIALS AND METHODS: A case-control study was performed among homogeneous groups of patients (n = 62 each) undergoing open reduction and internal fixation of femoral fractures. Correct prediction of blood use in the group of patients using the SBOE was compared to the group whose blood orders were made without any guideline. RESULTS: The surgical blood ordering equation was exactly correct in ordering blood for 46 (74.2%) of 62 patients (cases). The current unaided blood ordering method was exactly correct in ordering blood for 27 (43.5%) of 62 patients (controls). Use of the SBOE resulted in a significantly lower crossmatch-to-transfusion ratio compared to that of the current ordering system (1.5 vs 2.3) and saved the hospital transfusion laboratory 465 USDollars of crossmatch and inventory management costs in this cohort of patients. CONCLUSION: The SBOE is a more accurate and cost-saving tool in predicting blood use. It should replace the current unaided method of ordering for perioperative blood in femoral fracture surgery at Mulago Hospital. However, its introduction to other hospitals should be preceded by more rigorous research to strengthen its external validity.
机译:目的:本研究旨在建立股骨骨折手术患者的手术血常规方程(SBOE)的临床效用。背景:血液排序表定义了选择性手术围手术期的血液使用。它列出了术前每个程序所需的血液单位数。材料与方法:病例对照研究在均接受股骨骨折切开复位内固定的同类患者(每组62例)中进行。将使用SBOE的患者组中正确使用血液的预测与没有任何指南的血液检查组进行比较。结果:在62例患者(病例)中有46例(74.2%)进行了血液订购,手术血液订购方程式是正确的。当前的无辅助血液订购方法对于62名患者(对照组)中的27名(43.5%)订购血液是完全正确的。与当前订购系统相比,SBOE的使用导致交叉匹配与输血的比率显着降低(1.5对2.3),并且在该组患者中为医院输血实验室节省了465美元的交叉匹配和库存管理成本。结论:SBOE是预测血液使用情况的更准确和节省成本的工具。该方法应替代Mulago医院股骨骨折手术中目前无辅助的围手术期血液订购方法。但是,在将其引入其他医院之前,应进行更严格的研究以增强其外部有效性。

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