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Updated: Jan 19, 2026

Modified Posterior Vertebral Column Resection for Patients with Thoracolumbar Kyphotic Deformity
Published on: September 16, 2022
The Role of Potentially Modifiable Factors in a Standard Work Protocol to Decrease Complications in Adult Spinal
Douglas C Burton1, Rajiv K Sethi2, Anna K Wright3
1Department of Orthopedic Surgery, University of Kansas Medical Center, 3901 Rainbow Boulevard, Kansas City, KS 66160, USA.
Optimizing patient factors like hemoglobin, BMI, and albumin before adult spinal deformity surgery can reduce complications. Incorporating these modifiable risks into a Standard Work protocol is recommended for better surgical outcomes.
Area of Science:
- Orthopedic Surgery
- Spinal Deformity
- Surgical Outcomes
Background:
- Adult spinal deformity (ASD) surgery has a high complication rate.
- Standard Work protocols, based on Lean Methodology, aim to reduce errors and improve efficiency.
- Several patient and surgical factors may influence ASD surgery complications.
Purpose of the Study:
- To evaluate the literature for modifiable factors impacting ASD surgery complications.
- To identify evidence supporting the inclusion of these factors in a Standard Work protocol.
Main Methods:
- A structured literature review was conducted using PICO questions.
- Searched databases for studies on preoperative hemoglobin, bone density, BMI, albumin/prealbumin, smoking status, and realignment.
- Analyzed 93 studies providing evidence for the selected factors.
Main Results:
- Fair evidence links low hemoglobin, low albumin/prealbumin, and high BMI to increased complications.
- Fair evidence connects smoking to increased reoperations, with conflicting data on complications.
- No evidence was found for age-appropriate realignment influencing complications.
Conclusions:
- Preoperative hemoglobin, bone density, BMI, albumin/prealbumin, and smoking status are modifiable risk factors in ASD surgery.
- These factors should be integrated into Standard Work protocols for patient optimization.
- Standardized patient evaluation and optimization can potentially decrease surgical complications.
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