This position paper introduces a clinical risk stratification algorithm for spondylodiscitis designed to reframe management decisions around the patient’s systemic status rather than relying primarily on radiological criteria. The authors argue that integrating host risk factors into the decision-making process allows more personalized care and may identify patients who benefit from early surgical source control despite multimorbidity.
The algorithm was developed from a prospective, single-center cohort spanning 14 years (2008–2022) at a tertiary referral center. The investigators performed ten sub-analyses using multivariate regression on registry-derived data to determine independent drivers of mortality and treatment failure. Underlying data were part of a prospective registry integrated with the Spine Tango Registry of EuroSpine and the German Spine Society (DWG) Registry. Institutional review board approval was obtained (University Clinic Cologne, approval number 09-182).
Multivariate analyses identified several systemic risk factors that predict adverse outcomes in spondylodiscitis. Prominent variables associated with increased mortality and treatment failure were Chronic Kidney Disease (CKD), the presence of underlying malignancy, age ≥ 65 years, and documented bacteremia. These factors form the basis for heightened concern about survival and guide the algorithm’s triage into higher‑intensity management pathways.
In the subgroup of patients with spinal epidural abscess (SEA), the study highlights diabetes mellitus and elevated inflammatory markers—specifically CRP ≥ 150 mg/l—as important predictors of neurologic deterioration. These findings inform the recommendation to escalate monitoring and consider timely surgical intervention when these risks are present.
The proposed decision tree assigns patients to one of three management pathways based on integrated clinical risk:
Path A — High Mortality: Patients with strong predictors of mortality (for example CKD, malignancy, age ≥ 65, bacteremia) are directed toward an approach that prioritizes aggressive surgical source control. The authors explicitly challenge the view that severely multimorbid or frail patients are “too sick for surgery,” proposing that surgical intervention can be essential for controlling sepsis and improving survival.
Path B — Failure Risk Management: This pathway targets patients at heightened risk of treatment failure, including infections caused by S. aureus. The algorithm includes a practical management checkpoint — a “2-week CRP Checkpoint” — to assess response to therapy and to guide consideration of revision surgery if inflammatory markers or clinical status do not improve.
Path C — Quality-of-Life and Palliative Focus: For patients with advanced malignancy or when life expectancy and symptom relief become the primary goals, the algorithm prioritizes individualized, quality-of-life–driven care and palliative approaches, with surgery considered for pain control when appropriate.
By bringing systemic host factors into the decision framework, the algorithm reframes surgery not merely as a structural correction of the spine but as a tool for sepsis control, infection source control, and symptom relief. The position paper recommends that clinical teams weigh predictors such as CKD, age, malignancy, and bacteremia when deciding on operative versus non-operative strategies, and use early inflammatory marker reassessment (CRP at two weeks) to detect treatment failure.
Although the algorithm is founded on multivariate analyses from a robust prospective cohort, the authors acknowledge that the integrated decision tree has not undergone internal or external validation. They state that clinical utility and impact on outcomes remain to be confirmed in validation studies before broad implementation.
The study received institutional review board approval from the University Clinic Cologne (approval number 09-182). The underlying dataset were sourced from a prospective registry integrated with Spine Tango and the DWG Registry. The authors declare no competing interests in their conflict of interest statement.
Conclusion
This position paper proposes a host-centered clinical algorithm for spondylodiscitis developed from a 14-year prospective cohort. It identifies CKD, malignancy, age ≥ 65, and bacteremia as principal predictors of poor outcome and singles out diabetes and CRP ≥ 150 mg/l as predictors of neurologic deficit in SEA. The three-pathway decision tree recommends aggressive surgical source control for high-risk patients, structured early reassessment to detect failure, and a quality-of-life focus for oncology patients. The authors highlight the need for validation of the algorithm before routine clinical adoption.