دورية أكاديمية

A Novel Scoring System Predicting Red Blood Cell Transfusion Requirements in Patients Undergoing Invasive Spine Surgery.

التفاصيل البيبلوغرافية
العنوان: A Novel Scoring System Predicting Red Blood Cell Transfusion Requirements in Patients Undergoing Invasive Spine Surgery.
المؤلفون: Schenk, Alina1 (AUTHOR) schenk@imbie.uni-bonn.de, Ende, Jonas2 (AUTHOR) josefin.grabert@ukbonn.de, Hoch, Jochen3 (AUTHOR), Güresir, Erdem4,5 (AUTHOR) erdem.gueresir@medizin.uni-leipzig.de, Grabert, Josefin2 (AUTHOR) mark.coburn@ukbonn.de, Coburn, Mark2 (AUTHOR), Schmid, Matthias1 (AUTHOR) matthias.schmid@ukbonn.de, Velten, Markus2,6 (AUTHOR) markus.velten@UTSouthwestern.edu
المصدر: Journal of Clinical Medicine. Feb2024, Vol. 13 Issue 4, p948. 12p.
مصطلحات موضوعية: *RED blood cell transfusion, *SPINAL surgery, *BLOOD transfusion, *INTERVERTEBRAL disk prostheses, *BLOOD products, *OPERATIVE surgery
مستخلص: Background: Access to blood products is crucial for patient safety during the perioperative course. However, reduced donations and seasonally occurring blood shortages pose a significant challenge to the healthcare system, with surgeries being postponed. The German Blood Transfusion act requires that RBC packages become assigned to an individual patient, resulting in a significant reduction in the available blood products, further aggravating shortages. We aimed to develop a scoring system predicting transfusion probability in patients undergoing spine surgery to reduce assignment and, thus, increase the availability of blood products. Methods: The medical records of 252 patients who underwent spine surgery were evaluated and 18 potential predictors for RBC transfusion were tested to construct a logistic-regression-based predictive scoring system for blood transfusion in patients undergoing spine surgery. Results: The variables found to be the most important included the type of surgery, vertebral body replacement, number of stages, and pre-operative Hb concentration, indicating that surgical specification and the extent of the surgical procedure were more influential than the pre-existing patient condition and medication. Conclusions: Our model showed a good discrimination ability with an average AUC [min, max] of 0.87 [0.6, 0.97] and internal validation with a similar AUC of 0.84 [0.66, 0.97]. In summary, we developed a scoring system to forecast patients' perioperative transfusion needs when undergoing spine surgery using pre-operative predictors, potentially reducing the need for RBC allocation and, thus, resulting in an increased availability of this valuable resource. [ABSTRACT FROM AUTHOR]
قاعدة البيانات: Academic Search Index
الوصف
تدمد:20770383
DOI:10.3390/jcm13040948