• Alexander O Aguirre, Mohamed A R Soliman, Abdul Karim Ghaith, Cathleen C Kuo, Nicco Ruggiero, Shady Azmy, William Mualem, Asham Khan, Patrick K Jowdy, Matthew T Neal, Mohamad Bydon, Jeffrey P Mullin, and John Pollina.
• Jacobs School of Medicine and Biomedical Sciences at University at Buffalo, Buffalo, New York, USA.
• World Neurosurg. 2023 Mar 15.

ObjectiveAnterior lumbar interbody fusion (ALIF) is a surgical treatment that requires a close operative plane to the great vessels, which increases the risk of perioperative complications. To our knowledge, no previous study has investigated the American Society of Anesthesiologists (ASA) Physical Status Classification System as a predictive factor for unfavorable perioperative outcomes in ALIF procedures. We aimed to analyze the ASA score as a predictive factor of intraoperative and postoperative outcomes in patients undergoing ALIFs.MethodsA retrospective chart review was completed at each center to identify a consecutive set of patients who underwent an ALIF. Univariate and multivariate analyses between patients with preoperative ASA scores of ≤2 and >2 were performed to identify predictive factors that may contribute to adverse intraoperative and early postoperative outcomes.ResultsAmong 210 patients identified, 59 (28.1%) had an ASA score >2 and 151 (71.9%) had an ASA score ≤2. On multivariate analysis, an ASA score >2 was predictive of increased 90-day reoperations (P = 0.02), estimated blood loss (EBL) (P = 0.02), and operative time (P = 0.02). Previous lumbar surgery was predictive of increased length of stay (P = 0.005), EBL (P < 0.001), 90-day readmission (P = 0.02), and operative time (P < 0.001). Posterior supplemental fixation was predictive of increased length of stay (P = 0.04). Increased number of operative levels was predictive of increased EBL (P < 0.001) and operative time (P < 0.001). Perioperative anticoagulation use was predictive of increased EBL (P < 0.001) CONCLUSIONS: Increased ASA scores were associated with unfavorable outcomes after ALIF and also can be used as a predictive tool for the risk of reoperations.Copyright © 2023. Published by Elsevier Inc.

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