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The influence of modifiable risk factors on short-term postoperative outcomes following cervical spine surgery: A retrospective propensity score matched analysis.
Shahrestani, Shane; Bakhsheshian, Joshua; Chen, Xiao T; Ton, Andy; Ballatori, Alexander M; Strickland, Ben A; Robertson, Djani M; Buser, Zorica; Hah, Raymond; Hsieh, Patrick C; Liu, John C; Wang, Jeffrey C.
Affiliation
  • Shahrestani S; Department of Neurological Surgery, Keck School of Medicine, University of Southern California, Los Angeles, CA, United States.
  • Bakhsheshian J; Department of Medical Engineering, California Institute of Technology, Pasadena, CA, United States.
  • Chen XT; Department of Neurological Surgery, Keck School of Medicine, University of Southern California, Los Angeles, CA, United States.
  • Ton A; Department of Orthopedic Surgery, Keck School of Medicine, University of Southern California, Los Angeles, CA, United States.
  • Ballatori AM; Department of Orthopedic Surgery, Keck School of Medicine, University of Southern California, Los Angeles, CA, United States.
  • Strickland BA; Department of Orthopedic Surgery, Keck School of Medicine, University of Southern California, Los Angeles, CA, United States.
  • Robertson DM; Department of Neurological Surgery, Keck School of Medicine, University of Southern California, Los Angeles, CA, United States.
  • Buser Z; Department of Orthopedic Surgery, NYU Langone Health, New York, NY, United States.
  • Hah R; Department of Orthopedic Surgery, Keck School of Medicine, University of Southern California, Los Angeles, CA, United States.
  • Hsieh PC; Department of Orthopedic Surgery, Keck School of Medicine, University of Southern California, Los Angeles, CA, United States.
  • Liu JC; Department of Neurological Surgery, Keck School of Medicine, University of Southern California, Los Angeles, CA, United States.
  • Wang JC; Department of Neurological Surgery, Keck School of Medicine, University of Southern California, Los Angeles, CA, United States.
EClinicalMedicine ; 36: 100889, 2021 Jun.
Article in En | MEDLINE | ID: mdl-34308307
ABSTRACT

BACKGROUND:

Modifiable risk factors (MRFs) represent patient variables associated with increased complication rates that may be prevented. There exists a paucity of studies that comprehensively analyze MRF subgroups and their independent association with postoperative complications in patients undergoing cervical spine surgery. Therefore, the purpose of this study is to compare outcomes between patients receiving cervical spine surgery with reported MRFs.

METHODS:

Retrospective analysis of the Nationwide Readmissions Database (NRD) from the years 2016 and 2017, a publicly available and purchasable data source, to include adult patients undergoing cervical fusion. MRF cohorts were separated into three categories substance abuse (alcohol, tobacco/nicotine, opioid abuse); vascular disease (hypertension, dyslipidemia); and dietary factors (malnutrition, obesity). Three-way nearest-neighbor propensity score matching for demographics, hospital, and surgical characteristics was implemented.

FINDINGS:

We identified 9601 with dietary MRFs (D-MRF), 9654 with substance abuse MRFs (SA-MRF), and 9503 with vascular MRFs (V-MRF). Those with d-MRFs had significantly higher rates of medical complications (9.3%), surgical complications (8.1%), and higher adjusted hospital costs compared to patients with SA-MRFs and V-MRFs. Patients with d-MRFs (16.3%) and V-MRFs (14.0%) were independently non-routinely discharged at a significantly higher rate compared to patients with SA-MRFs (12.6%) (p<0.0001 and p = 0.0037). However, those with substance abuse had the highest readmission rate and were more commonly readmitted for delayed procedure-related infections.

INTERPRETATION:

A large proportion of patients who receive cervical spine surgery have potential MRFs that uniquely influence their postoperative outcomes. A thorough understanding of patient-specific MRF subgroups allows for improved preoperative risk stratification, tailored patient counseling, and postoperative management planning.

FUNDING:

None.
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Etiology_studies / Prognostic_studies / Risk_factors_studies Language: En Journal: EClinicalMedicine Year: 2021 Document type: Article Affiliation country: Estados Unidos

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Etiology_studies / Prognostic_studies / Risk_factors_studies Language: En Journal: EClinicalMedicine Year: 2021 Document type: Article Affiliation country: Estados Unidos