Literature DB >> 28146019

Analysis of Risk Factors for Major Complications Following Elective Posterior Lumbar Fusion.

John Di Capua1, Sulaiman Somani, Jun S Kim, Kevin Phan, Nathan J Lee, Parth Kothari, Samuel K Cho.   

Abstract

STUDY
DESIGN: Retrospective study of prospectively collected data.
OBJECTIVE: To identify risk factors for the development of any major complication after elective posterior lumbar fusion (PLF). SUMMARY OF BACKGROUND DATA: PLF is one of the most performed fusion techniques with utilization rates increasing by 356% between 1993 and 2001. Surgical and anesthetic advances have made the option of surgery more accessible for elderly patients with a larger comorbidity burden. Identifying risk factors for the development of major complications after elective PLF is important for patient risk stratification and patient safety efforts.
METHODS: The 2011 to 2014 American College of Surgeon's National Surgical Quality Improvement Program database was queried using Current Procedural Terminology codes 22612, 22630, and 22633. Patients were divided into two cohorts based on the development of any major complication. Bivariate and multivariate logistic regression analyses were employed to identify predictors for the development of ≥ 1, ≥ 2, and ≥ 3 major complications.
RESULTS: A total of 7761 patients met the inclusion criteria for the study of which, 2055 (26.5%) patients developed one major complication, 249 (3.2%) patients developed two major complications, and 151 (1.9%) patients developed three major complications. The most common complication was intra/postoperative red blood cell transfusion (23.2%). Three multivariate logistic regression models were employed to identify factors associated with ≥ 1, ≥ 2, and ≥ 3 major complications. Patient variables present across all three models were osteotomy, pelvic fixation, operation time ≥4 hours, bleeding disorder, and American Society of Anesthesiology Class ≥ 3.
CONCLUSION: Several risk factors were identified for the development of major complications after elective PLF. Identification of these factors can improve the selection of appropriate surgical candidates, patient risk stratification, and patient postoperative safety. LEVEL OF EVIDENCE: 3.

Entities:  

Mesh:

Year:  2017        PMID: 28146019     DOI: 10.1097/BRS.0000000000002090

Source DB:  PubMed          Journal:  Spine (Phila Pa 1976)        ISSN: 0362-2436            Impact factor:   3.468


  12 in total

1.  Relationship between sagittal balance and adjacent segment disease in surgical treatment of degenerative lumbar spine disease: meta-analysis and implications for choice of fusion technique.

Authors:  Kevin Phan; Alexander Nazareth; Awais K Hussain; Adam A Dmytriw; Mithun Nambiar; Damian Nguyen; Jack Kerferd; Steven Phan; Chet Sutterlin; Samuel K Cho; Ralph J Mobbs
Journal:  Eur Spine J       Date:  2018-05-28       Impact factor: 3.134

2.  Relationship between depression and clinical outcome following anterior cervical discectomy and fusion.

Authors:  Kevin Phan; Dane Moran; Thomas Kostowski; Risheng Xu; Rory Goodwin; Benjamin Elder; Seba Ramhmdani; Ali Bydon
Journal:  J Spine Surg       Date:  2017-06

3.  Modifiable Patient Factors Demonstrate No Increased Risk for 30-Day Complication Rate for Elective 1-2 Level Posterior Lumbar Fusion Surgery: A Comparison Between a National Database and Local Registry.

Authors:  Cameron Kia; Aris Yannopoulos; Sagar Gulati; Michael Cremins; Mark Cote; Isaac Moss
Journal:  Int J Spine Surg       Date:  2022-07-14

4.  Prediction of Major Complications and Readmission After Lumbar Spinal Fusion: A Machine Learning-Driven Approach.

Authors:  Akash A Shah; Sai K Devana; Changhee Lee; Amador Bugarin; Elizabeth L Lord; Arya N Shamie; Don Y Park; Mihaela van der Schaar; Nelson F SooHoo
Journal:  World Neurosurg       Date:  2021-05-28       Impact factor: 2.210

5.  Short-term complication rate following orthopedic surgery in a tertiary care center in Argentina.

Authors:  Gaston Camino Willhuber; Joaquin Stagnaro; Matias Petracchi; Agustin Donndorff; Daniel Godoy Monzon; Juan Astoul Bonorino; Danilo Taype Zamboni; Facundo Bilbao; Jose Albergo; Nicolas S Piuzzi; Santiago Bongiovanni
Journal:  SICOT J       Date:  2018-06-29

6.  Risk Factors for Adverse Cardiac Events After Lumbar Spine Fusion.

Authors:  I David Kaye; Scott C Wagner; Joseph S Butler; Arjun Sebastian; Patrick B Morrissey; Christopher Kepler
Journal:  Int J Spine Surg       Date:  2018-10-15

7.  Examining the Ability of Artificial Neural Networks Machine Learning Models to Accurately Predict Complications Following Posterior Lumbar Spine Fusion.

Authors:  Jun S Kim; Robert K Merrill; Varun Arvind; Deepak Kaji; Sara D Pasik; Chuma C Nwachukwu; Luilly Vargas; Nebiyu S Osman; Eric K Oermann; John M Caridi; Samuel K Cho
Journal:  Spine (Phila Pa 1976)       Date:  2018-06-15       Impact factor: 3.241

8.  Frailty and Post-Operative Outcomes in the Older Patients Undergoing Elective Posterior Thoracolumbar Fusion Surgery.

Authors:  Wenzhi Sun; Shibao Lu; Chao Kong; Zhongen Li; Peng Wang; Sitao Zhang
Journal:  Clin Interv Aging       Date:  2020-07-14       Impact factor: 4.458

9.  Age Stratification of 30-Day Postoperative Outcomes Following Excisional Laminectomy for Extradural Cervical and Thoracic Tumors.

Authors:  Kevin Phan; Zoe B Cheung; Khushdeep S Vig; Awais K Hussain; Mauricio C Lima; Jun S Kim; John Di Capua; Samuel K Cho
Journal:  Global Spine J       Date:  2017-12-10

10.  Does Obesity Explain the Effect of the Metabolic Syndrome on Complications Following Elective Lumbar Fusion? A Propensity Score Matched Analysis.

Authors:  Francis Lovecchio; Michael C Fu; Sravisht Iyer; Michael Steinhaus; Todd Albert
Journal:  Global Spine J       Date:  2018-03-27
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