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In Vivo Mouse Model of Spinal Implant Infection
Published on: June 23, 2020
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Implant Microbial Colonization Detected by Sonication as a Cause for Spinal Device Failure: A Prospective Study
Daniel García-Pérez1, Alfonso Lagares, Ana María Castaño-León
1Department of Neurosurgery, University Hospital 12 de Octubre, Avda de Córdoba s/n, Madrid, Spain.
Spine
|October 7, 2021
Summary
Sonication fluid analysis aids in diagnosing low-grade spinal implant infections, identifying screw loosening as a key indicator. This method helps predict and manage implant-associated infections by stratifying patient risk.
Area of Science:
- Spinal surgery
- Infectious diseases
- Diagnostic microbiology
Background:
- Spinal implant loosening is often attributed to mechanical factors, but implant colonization and biofilm formation are increasingly recognized.
- Diagnosing low-grade spinal implant infections is challenging due to nonspecific clinical presentations.
- Sonication fluid culture shows promise for detecting spinal instrumentation infections, yet data remain limited.
Purpose of the Study:
- To evaluate sonication's role in diagnosing low-grade spinal implant infections.
- To investigate the association between sonication results and pedicle screw (PS) loosening.
- To identify risk factors and radiological findings linked to spinal implant infection.
Main Methods:
- Prospective observational study including patients undergoing implant removal.
- Assessment of pedicle screw (PS) loosening using computed tomography (CT) scans.
- Analysis of clinical and radiological parameters as indicators of implant infection.
Main Results:
- A positive sonication result was observed in 29% of patients (11 out of 38).
- Spinal implant infection correlated significantly with screw loosening (P = 0.005).
- Independent risk factors for infection included screw loosening, absence of prophylactic cefazolin, ICU hospitalization, screw breakage, and L1-L3 spine level.
Conclusions:
- Sonication fluid analysis can aid in diagnosing spinal implant infections.
- Preoperative prediction and risk stratification of implant colonization are possible by considering identified factors.
- This approach assists in managing patients with potential implant-associated infections.

