Literature DB >> 11493498

A reduction in type and screen: preoperative prediction of RBC transfusions in surgery procedures with intermediate transfusion risks.

W A van Klei1, K G Moons, A T Leyssius, J T Knape, C L Rutten, D E Grobbee.   

Abstract

In many patients, a 'type and screen' procedure is routinely performed before surgery. However, most patients are not transfused after all. Can we predict, which surgical patients will and will not be transfused, to reduce the number of these investigations? We studied 1482 consecutive surgical patients with intermediate risk for transfusion. Multivariate logistic regression modelling and the area under the Receiver Operating Characteristic curve (ROC area) were used to quantify how well age, gender, surgical procedure, emergency or elective surgery and anaesthetic technique predicted transfusion, and whether the preoperative haemoglobin concentration had added predictive value. Gender, age > or =70 yr, and type of surgery were independent predictors of transfusion, with a ROC area of 0.75 (95% CI: 0.72-0.79). Validating this model with an easily used prediction rule in a second patient population yielded a ROC area of 0.70 (95% CI: 0.63-0.77). With this rule type and screen could correctly be withheld in 35% of these patients. In the remaining 65% of the patients, a further reduction in type and screen investigations of 15% could be achieved using the preoperative haemoglobin concentration. Using a simple prediction rule, preoperative type and screen investigations in patients who have to undergo surgery procedures with intermediate transfusion risk can be avoided in about 50%. This may reduce patient burden and hospital costs (on average: 3 million US$ per 100 000 procedures).

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Year:  2001        PMID: 11493498     DOI: 10.1093/bja/87.2.250

Source DB:  PubMed          Journal:  Br J Anaesth        ISSN: 0007-0912            Impact factor:   9.166


  12 in total

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2.  Preoperative haemoglobin cut-off values for the prediction of post-operative transfusion in total knee arthroplasty.

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Journal:  Knee Surg Sports Traumatol Arthrosc       Date:  2016-05-28       Impact factor: 4.342

3.  Bleeding impacting mortality after noncardiac surgery: a protocol to establish diagnostic criteria, estimate prognostic importance, and develop and validate a prediction guide in an international prospective cohort study.

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Journal:  CMAJ Open       Date:  2017-08-04

4.  A study of pre-operative type and screen in breast surgery: improved efficiency and cost saving.

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5.  Cost-Effectiveness of Routine Type and Screens in Select Endonasal Skull Base Surgeries.

Authors:  Aviv Spillinger; Meredith Allen; Patrick Karabon; Houmehr Hojjat; Kerolos Shenouda; Inaya Hajj Hussein; Jeffrey T Jacob; Peter F Svider; Adam J Folbe
Journal:  J Neurol Surg B Skull Base       Date:  2021-05-31

6.  Personalized Surgical Transfusion Risk Prediction Using Machine Learning to Guide Preoperative Type and Screen Orders.

Authors:  Sunny S Lou; Hanyang Liu; Chenyang Lu; Troy S Wildes; Bruce L Hall; Thomas Kannampallil
Journal:  Anesthesiology       Date:  2022-07-01       Impact factor: 8.986

7.  Impact of Preoperative Anaemia and Blood Transfusion on Postoperative Outcomes in Gynaecological Surgery.

Authors:  Toby Richards; Khaled M Musallam; Joseph Nassif; Ghina Ghazeeri; Muhieddine Seoud; Kurinchi S Gurusamy; Faek R Jamali
Journal:  PLoS One       Date:  2015-07-06       Impact factor: 3.240

8.  The Utility of ABO Testing in Pediatric Patients Undergoing Elective Surgery.

Authors:  Min Seob Kim; Sanghyun Ahn; Eun-Jin Chung; Seungeun Choi; Jin-Tae Kim; Ho-Geol Ryu
Journal:  J Clin Med       Date:  2019-09-02       Impact factor: 4.241

9.  Preoperative hematocrit concentration and the risk of stroke in patients undergoing isolated coronary-artery bypass grafting.

Authors:  Khaled M Musallam; Faek R Jamali; Frits R Rosendaal; Toby Richards; Donat R Spahn; Kaivan Khavandi; Iskandar Barakat; Benjamin Demoss; Luca A Lotta; Flora Peyvandi; Pier M Sfeir
Journal:  Anemia       Date:  2013-04-30

10.  Analysis of blood transfusion predictors in patients undergoing elective oesophagectomy for cancer.

Authors:  Abraham A Ayantunde; Ming Y Ng; Saurov Pal; Neil T Welch; Simon L Parsons
Journal:  BMC Surg       Date:  2008-01-25       Impact factor: 2.102

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