Literature DB >> 32128308

Decision Tree-based Modelling for Identification of Predictors of Blood Loss and Transfusion Requirement After Adult Spinal Deformity Surgery.

Tina Raman1, Dennis Vasquez-Montes1, Chris Varlotta1, Peter G Passias1, Thomas J Errico1.   

Abstract

BACKGROUND: Multilevel fusions and complex osteotomies to restore global alignment in adult spinal deformity (ASD) surgery can lead to increased operative time and blood loss. In this regard, we assessed factors predictive of perioperative blood product transfusion in patients undergoing long posterior spinal fusion for ASD.
METHODS: A single-institution retrospective review was conducted on 909 patients with ASD, age > 18 years, who underwent surgery for ASD with greater than 4 levels fused. Using conditional inference tree analysis, a machine learning methodology, we sought to predict the combination of variables that best predicted increased risk for intraoperative percent blood volume lost and perioperative blood product transfusion.
RESULTS: Among the 909 patients included in the study, 377 (41.5%) received red blood cell (RBC) transfusion. The conditional inference tree analysis identified greater than 13 levels fused, American Society of Anesthesiologists (ASA) score > 1, a history of hypertension, 3-column osteotomy, pelvic fixation, and operative time > 8 hours, as significant risk factors for perioperative RBC transfusion. The best predictors for the subgroup with the highest risk for intraoperative percent blood volume lost (subgroup mean: 53.1% ± 42.9%) were greater than 13 levels fused, ASA score > 1, preoperative hemoglobin < 13.6 g/dL, 3-column osteotomy, posterior column osteotomy, and pelvic fixation. Patients who underwent major blood transfusion intraoperatively had significantly longer length of stay (8.5 days) versus those who did not (6.1 days) (P < .0001). The overall 90-day complication rate in patients who underwent major blood transfusion intraoperatively was 49%, compared with 19% in those who did not (P < .0001). By multivariate regression analysis, patients with a preoperative hemoglobin > 13.0 were less likely to require major blood transfusion (odds ratio: 0.52, P = .046).
CONCLUSIONS: Using a supervised learning technique, this study demonstrates that greater than 13 levels fused, ASA score > 1, 3-column osteotomy, and pelvic fixation are consistent risk factors for increased intraoperative percent blood volume lost and perioperative RBC transfusion. The addition of having a preoperative hemoglobin < 13.6 g/dL or undergoing a posterior column osteotomy conferred the highest risk for intraoperative blood loss. This information can assist spinal deformity surgeons in identifying at-risk individuals and allocating healthcare resources. LEVEL OF EVIDENCE: 3. ©International Society for the Advancement of Spine Surgery 2020.

Entities:  

Keywords:  blood product transfusion; complex spine surgery; perioperative blood loss

Year:  2020        PMID: 32128308      PMCID: PMC7043811          DOI: 10.14444/7012

Source DB:  PubMed          Journal:  Int J Spine Surg        ISSN: 2211-4599


  36 in total

1.  Allogeneic transfusion requirements after autologous donations in posterior lumbar surgeries.

Authors:  Charles W Cha; Chris Deible; Thomas Muzzonigro; Ileana Lopez-Plaza; Molly Vogt; James D Kang
Journal:  Spine (Phila Pa 1976)       Date:  2002-01-01       Impact factor: 3.468

Review 2.  A direct antifibrinolytic agent in major orthopedic surgery.

Authors:  Charles Marc Samama
Journal:  Orthopedics       Date:  2004-06       Impact factor: 1.390

3.  A clinical and immunologic study of blood transfusion and postoperative bacterial infection in spinal surgery.

Authors:  D J Triulzi; K Vanek; D H Ryan; N Blumberg
Journal:  Transfusion       Date:  1992 Jul-Aug       Impact factor: 3.157

4.  Does intraoperative cell salvage system effectively decrease the need for allogeneic transfusions in scoliotic patients undergoing posterior spinal fusion? A prospective randomized study.

Authors:  Jinqian Liang; Jianxiong Shen; Sooyong Chua; Yu Fan; Jiliang Zhai; Bin Feng; Siyi Cai; Zheng Li; Xuhong Xue
Journal:  Eur Spine J       Date:  2014-03-30       Impact factor: 3.134

Review 5.  Do antifibrinolytics reduce allogeneic blood transfusion in orthopedic surgery?

Authors:  Paul Zufferey; Fanette Merquiol; Silvy Laporte; Hervé Decousus; Patrick Mismetti; Christian Auboyer; Charles Marc Samama; Serge Molliex
Journal:  Anesthesiology       Date:  2006-11       Impact factor: 7.892

6.  Predicting blood loss in surgery for idiopathic scoliosis.

Authors:  J Guay; M Haig; L Lortie; M C Guertin; B Poitras
Journal:  Can J Anaesth       Date:  1994-09       Impact factor: 5.063

Review 7.  Antifibrinolytics in major orthopaedic surgery.

Authors:  Jason David Eubanks
Journal:  J Am Acad Orthop Surg       Date:  2010-03       Impact factor: 3.020

8.  Risk factors for delayed infections after spinal fusion and instrumentation in patients with scoliosis. Clinical article.

Authors:  Jianxiong Shen; Jinqian Liang; Haiquan Yu; Guixing Qiu; Xuhong Xue; Zheng Li
Journal:  J Neurosurg Spine       Date:  2014-07-04

9.  Predicting Perioperative Complications in Adult Spinal Deformity Surgery Using a Simple Sliding Scale.

Authors:  Go Yoshida; Tomohiko Hasegawa; Yu Yamato; Sho Kobayashi; Shin Oe; Tomohiro Banno; Yuuki Mihara; Hideyuki Arima; Hiroki Ushirozako; Tatsuya Yasuda; Daisuke Togawa; Yukihiro Matsuyama
Journal:  Spine (Phila Pa 1976)       Date:  2018-04-15       Impact factor: 3.468

10.  Towards standardized measurement of adverse events in spine surgery: conceptual model and pilot evaluation.

Authors:  Sohail K Mirza; Richard A Deyo; Patrick J Heagerty; Judith A Turner; Lorri A Lee; Robert Goodkin
Journal:  BMC Musculoskelet Disord       Date:  2006-06-20       Impact factor: 2.362

View more
  3 in total

1.  Assessment of Clinical Decision Support System Efficiency in Spinal Neurosurgery for Personalized Minimally Invasive Technologies Used on Lumbar Spine.

Authors:  V А Byvaltsev; А А Kalinin
Journal:  Sovrem Tekhnologii Med       Date:  2021-10-29

2.  An Artificial Neural Network Model for the Prediction of Perioperative Blood Transfusion in Adult Spinal Deformity Surgery.

Authors:  Rafael De la Garza Ramos; Mousa K Hamad; Jessica Ryvlin; Oscar Krol; Peter G Passias; Mitchell S Fourman; John H Shin; Vijay Yanamadala; Yaroslav Gelfand; Saikiran Murthy; Reza Yassari
Journal:  J Clin Med       Date:  2022-07-29       Impact factor: 4.964

Review 3.  AI MSK clinical applications: spine imaging.

Authors:  Florian A Huber; Roman Guggenberger
Journal:  Skeletal Radiol       Date:  2021-07-15       Impact factor: 2.199

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.