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Albumin Levels Stratify Risk of 30-Day Complications Following Posterior Cervical Fusion.
Philip M Parel1, Abhisri Ramesh1, Eric Cui1
1Department of Orthopaedic Surgery, The George Washington University School of Medicine and Health Sciences, Washington, DC.
Preoperative albumin levels can predict 30-day complications after posterior cervical fusion (PCF). Lower albumin levels correlate with higher complication risks, aiding surgeons in patient stratification for improved outcomes.
Area of Science:
- Neurosurgery
- Orthopedic Surgery
- Clinical Chemistry
Background:
- Posterior cervical fusion (PCF) rates have increased, with complications in up to 25% of cases.
- Hypoalbuminemia is a potential risk factor for post-spine surgery complications, but precise thresholds are undefined.
- Limited literature exists on preoperative albumin's impact on PCF outcomes.
Purpose of the Study:
- To establish data-driven preoperative albumin thresholds for risk stratification of 30-day complications after PCF.
- To identify specific albumin levels associated with increased complication risk following PCF.
Main Methods:
- Retrospective cohort study using a national database of patients undergoing PCF.
- Stratum-specific likelihood ratio (SSLR) analysis to determine albumin thresholds.
- Multivariable regression to assess the risk of 30-day major and minor complications.
Main Results:
- Three preoperative albumin strata were identified: 1-3.2 g/dL, 3.2-3.6 g/dL, and 3.6+ g/dL.
- Compared to the 3.6+ g/dL group, the 1-3.2 g/dL (OR: 3.02) and 3.2-3.6 g/dL (OR: 1.65) groups had significantly higher odds of 30-day complications.
- A clear, dose-dependent relationship exists between lower albumin levels and increased complication risk.
Conclusions:
- Data-driven preoperative albumin thresholds can effectively stratify 30-day complication risk after PCF.
- This is the first study to demonstrate the variable and stratifiable risk associated with preoperative albumin levels in PCF.
- Findings support using albumin levels for informed surgical decision-making and improved patient outcomes.
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