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

Publication ,  Journal Article
Raman, T; Vasquez-Montes, D; Varlotta, C; Passias, PG; Errico, TJ
Published in: Int J Spine Surg
February 2020

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.

Duke Scholars

Published In

Int J Spine Surg

DOI

ISSN

2211-4599

Publication Date

February 2020

Volume

14

Issue

1

Start / End Page

87 / 95

Location

Netherlands

Related Subject Headings

  • 3202 Clinical sciences
  • 1109 Neurosciences
 

Citation

APA
Chicago
ICMJE
MLA
NLM
Raman, T., Vasquez-Montes, D., Varlotta, C., Passias, P. G., & Errico, T. J. (2020). Decision Tree-based Modelling for Identification of Predictors of Blood Loss and Transfusion Requirement After Adult Spinal Deformity Surgery. Int J Spine Surg, 14(1), 87–95. https://doi.org/10.14444/7012
Raman, Tina, Dennis Vasquez-Montes, Chris Varlotta, Peter G. Passias, and Thomas J. Errico. “Decision Tree-based Modelling for Identification of Predictors of Blood Loss and Transfusion Requirement After Adult Spinal Deformity Surgery.Int J Spine Surg 14, no. 1 (February 2020): 87–95. https://doi.org/10.14444/7012.
Raman T, Vasquez-Montes D, Varlotta C, Passias PG, Errico TJ. Decision Tree-based Modelling for Identification of Predictors of Blood Loss and Transfusion Requirement After Adult Spinal Deformity Surgery. Int J Spine Surg. 2020 Feb;14(1):87–95.
Raman, Tina, et al. “Decision Tree-based Modelling for Identification of Predictors of Blood Loss and Transfusion Requirement After Adult Spinal Deformity Surgery.Int J Spine Surg, vol. 14, no. 1, Feb. 2020, pp. 87–95. Pubmed, doi:10.14444/7012.
Raman T, Vasquez-Montes D, Varlotta C, Passias PG, Errico TJ. Decision Tree-based Modelling for Identification of Predictors of Blood Loss and Transfusion Requirement After Adult Spinal Deformity Surgery. Int J Spine Surg. 2020 Feb;14(1):87–95.
Journal cover image

Published In

Int J Spine Surg

DOI

ISSN

2211-4599

Publication Date

February 2020

Volume

14

Issue

1

Start / End Page

87 / 95

Location

Netherlands

Related Subject Headings

  • 3202 Clinical sciences
  • 1109 Neurosciences