The MSI-20 Score Provides Reproducible Mortality Risk Stratification in Spinal Infection: A Multicenter Registry Study and External Validation

Objective: Spinal infection (SI) is associated with substantial morbidity and mortality, and optimal treatment strategies remain debated, particularly in medically fragile patients. The Mortality in Spinal Infection (MSI-20) score was developed as the first dedicated prognostic tool for mortality risk estimation, but external validation in large cohorts has been lacking. This study aimed to externally validate the MSI-20 in a large multicenter registry cohort and assess its performance, clinical thresholds, and generalizability.Methods: This retrospective multi-institutional registry study included 1,122 adult patients with clinically, radiologically, and laboratory-confirmed SI treated at 6 tertiary referral centers between 2010 and 2023. The multicenter registry design enabled robust analysis of this relatively rare outcome. MSI-20 scores were calculated according to the original definition. Predictive performance was evaluated using receiver operating characteristic (ROC) analysis with 95% confidence intervals. Mortality across score strata and center-wise performance were analyzed, with exploratory assessment of additional baseline predictors.Results: Mean age was 66.4±13.1 years, and overall mortality was 18.3%. The MSI-20 demonstrated fair discriminative ability (area under the curve [AUC], 0.68; 95% confidence interval [CI], 64–72). The optimal ROC threshold was 3.5; a cutoff ≥4 yielded sensitivity 0.49 and specificity 0.74 (F1 score, 0.38). Mortality increased progressively, approaching 50% (47.4%) at scores ≥9. Performance was consistent across centers (AUC, 0.60–0.75). Exploratory univariable analyses did not identify additional baseline variables with consistent strong associations beyond the MSI-20 components.Conclusion: This large multicenter registry study provides the first external validation of the MSI-20, confirming reproducibility and generalizability. The score demonstrated fair discrimination and a clear risk gradient across increasing score categories. Given its simplicity and high negative predictive value, the MSI-20 may serve as an adjunctive tool to support risk communication, multidisciplinary discussion, patient counseling, and preoperative optimization in spinal infection.

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Journal
Neurospine
Published
2026-07-30
DOI
https://doi.org/10.14245/ns.26520814.0407
Primary Topic
Infectious Diseases and Tuberculosis
Type
article
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article

The MSI-20 Score Provides Reproducible Mortality Risk Stratification in Spinal Infection: A Multicenter Registry Study and External Validation

Christoph Bettag, Ralph T. Schär, Peter Vajkoczy, Carolin Albrecht et al.
Neurospine
Infectious Diseases and Tuberculosis
article

The MSI-20 Score Provides Reproducible Mortality Risk Stratification in Spinal Infection: A Multicenter Registry Study and External Validation

Christoph Bettag, Ralph T. Schär, Peter Vajkoczy, Carolin Albrecht, Victor E. Staartjes, Christoph Orban, Veit Rohde, Aminaa Sanchin, Christopher Marvin Jesse, Sara Lener, Ann-Kathrin Jörger, Andreas Kyriacou Demetriades, R Gmeiner, Claudius Thomé, Anto Abramović, Alexandra Grob, Sebastian Hartmann, Andreas Krämer, Felipa Lange, Karl Schaller, Anna Koller, Insa K. Janssen, Julia Onken, Rebecca Sutherland, Bernhard Meyer, Florian Ringel, Imran Shah
article en

Abstract

Objective: Spinal infection (SI) is associated with substantial morbidity and mortality, and optimal treatment strategies remain debated, particularly in medically fragile patients. The Mortality in Spinal Infection (MSI-20) score was developed as the first dedicated prognostic tool for mortality risk estimation, but external validation in large cohorts has been lacking. This study aimed to externally validate the MSI-20 in a large multicenter registry cohort and assess its performance, clinical thresholds, and generalizability.Methods: This retrospective multi-institutional registry study included 1,122 adult patients with clinically, radiologically, and laboratory-confirmed SI treated at 6 tertiary referral centers between 2010 and 2023. The multicenter registry design enabled robust analysis of this relatively rare outcome. MSI-20 scores were calculated according to the original definition. Predictive performance was evaluated using receiver operating characteristic (ROC) analysis with 95% confidence intervals. Mortality across score strata and center-wise performance were analyzed, with exploratory assessment of additional baseline predictors.Results: Mean age was 66.4±13.1 years, and overall mortality was 18.3%. The MSI-20 demonstrated fair discriminative ability (area under the curve [AUC], 0.68; 95% confidence interval [CI], 64–72). The optimal ROC threshold was 3.5; a cutoff ≥4 yielded sensitivity 0.49 and specificity 0.74 (F1 score, 0.38). Mortality increased progressively, approaching 50% (47.4%) at scores ≥9. Performance was consistent across centers (AUC, 0.60–0.75). Exploratory univariable analyses did not identify additional baseline variables with consistent strong associations beyond the MSI-20 components.Conclusion: This large multicenter registry study provides the first external validation of the MSI-20, confirming reproducibility and generalizability. The score demonstrated fair discrimination and a clear risk gradient across increasing score categories. Given its simplicity and high negative predictive value, the MSI-20 may serve as an adjunctive tool to support risk communication, multidisciplinary discussion, patient counseling, and preoperative optimization in spinal infection.

NeurospineVol. 23(3)
Innsbruck Medical University (AT), Universität Innsbruck (AT), Johannes Gutenberg University Mainz (DE), University of Zurich (CH), Western General Hospital (GB), University Hospital of Bern (CH), TUM Klinikum (DE), Edinburgh Royal Infirmary (GB), LMU Klinikum (DE), Humboldt-Universität zu Berlin (DE), Management Center Innsbruck (AT), University Medical Center of the Johannes Gutenberg University Mainz (DE), Hôpital Beau-Séjour (CH), University Hospital of Zurich (CH), Klinikum Dortmund (DE), Technical University of Munich (DE), University of Göttingen (DE), Freie Universität Berlin (DE), Charité - Universitätsmedizin Berlin (DE), Ludwig-Maximilians-Universität München (DE)
Reduced inequalities
Openalex Percentile: Top 8%
Infectious Diseases and Tuberculosis
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