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Updated: Dec 13, 2025

Modeling Primary Bone Tumors and Bone Metastasis with Solid Tumor Graft Implantation into Bone
Published on: September 9, 2020
Influence of preoperative biological parameters on postoperative complications and survival in spinal bone
Solène Prost1, Charlie Bouthors2, Stéphane Fuentes1
1CNRS, ISM, unité de chirurgie Rachidienne, Aix-Marseille Université, CHU Timone, AP-HM, 264, rue Saint-Pierre, 13005 Marseille, France.
Introduction:
Onset of spinal bone metastasis is a turning point in the progression of tumoral disease; although incidence is increasing, management is not standardized. Various prognostic scores are available, but advances in medical and surgical treatment have made them less well adapted, and sometimes discordant for a given patient. It would therefore be useful to develop new prognostic instruments. The aim of the present study was to identify biologic risk factors for onset of postoperative complications and death following spinal bone metastasis surgery.
Material And Methods:
A prospective multicenter study included all patients operated on for spinal bone metastasis between November 2015 and May 2017. The main epidemiologic data and biologic data (CRP, albuminemia, calcemia) were collected preoperatively. Surgical strategy, death and/or postoperative complications were collected prospectively.
Results:
Five of the initial 264 patients died during the immediate postoperative course, and 107 within 6 months. At 1 year, 57 patients remained alive. Twenty-six (10%) were lost to follow-up. Preoperative albuminemia<35g/L (29% of patients), calcemia>2.6 nmol/L (8%) and CRP>10mg/L (47.5%) were associated with significantly elevated mortality. Only CRP elevation correlated with postoperative complications rate.
Conclusion:
The study confirmed the prognostic value of 3 biologic parameters (CRP level, albuminemia, calcemia) for survival after spinal bone metastasis surgery. A hybrid score taking account of not only clinical but also biologic parameters should be developed to improve estimation of survival.
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