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PROPOSE. Development and validation of a prediction model for shared decision making for patients with lumbar spinal stenosis.
Pedersen, Casper Friis; Andersen, Mikkel Østerheden; Carreon, Leah Yacat; Skov, Simon Toftgaard; Doering, Peter; Eiskjær, Søren.
Afiliación
  • Pedersen CF; Center for Spine Surgery and Research, Spinecenter of Southern Denmark, Lillebaelt Hospital, Oestre Hougvej 55, DK-5500, Middelfart, Denmark.
  • Andersen MØ; University of Southern Denmark, Center for Spine Surgery and Research, Spinecenter of Southern Denmark, Lillebaelt Hospital, Oestre Hougvej 55, DK-5500, Middelfart, Denmark.
  • Carreon LY; University of Southern Denmark, Center for Spine Surgery and Research, Spinecenter of Southern Denmark, Lillebaelt Hospital, Oestre Hougvej 55, DK-5500, Middelfart, Denmark.
  • Skov ST; Aarhus University, Elective Surgery Centre, Silkeborg Regional Hospital, Falkevej 3, DK-8600, Silkeborg, Denmark.
  • Doering P; Department of Orthopedic Surgery, Aalborg University, Hobrovej 18-22, DK-9000, Aalborg, Denmark.
  • Eiskjær S; Department of Orthopedic Surgery, Aalborg University, Hobrovej 18-22, DK-9000, Aalborg, Denmark.
N Am Spine Soc J ; 17: 100309, 2024 Mar.
Article en En | MEDLINE | ID: mdl-38304320
ABSTRACT

Background:

Decompression for lumbar spinal stenosis (LSS) is the most frequently performed spine surgery in Denmark. According to the Danish spine registry DaneSpine, at 1 year after surgery, about 75% of patients experiences considerable pain relief and around 66% improvement in quality of life. However, 25% do not improve very much. We have developed a predictive decision support tool, PROPOSE. It is intended to be used in the clinical conversation between healthcare providers and LSS patients as a shared decision-making aid presenting pros and cons of surgical intervention. This study presents the development and evaluation of PROPOSE in a clinical setting.

Methods:

For model development, 6.357 LSS patients enrolled in DaneSpine were identified. For model validation, predictor response and predicted outcome was collected via PROPOSE from 228 patients. Observed outcome at 1 year was retrieved from DaneSpine. All participants were treated at 3 Danish spine centers. The outcome measures presented are improvement in walking distance, the Oswestry Disability Index, EQ-5D-3L and leg/back pain on the Visual Analog Scale. Outcome variables were dichotomized into success (1) and failure (0). With the exception of walking distance, a success was defined as reaching minimal clinically important difference at 1-year follow-up. Models were trained using Multivariate Adaptive Regression Splines. Performance was assessed by inspecting confusion matrix, ROC curves and comparing GCV (generalized cross-validation) errors. Final performance of the models was evaluated on independent test data.

Results:

The walking distance model demonstrated excellent performance with an AUC of 0.88 and a Brier score of 0.14. The VAS leg pain model had the lowest discriminatory performance with an AUC of 0.67 and a Brier score of 0.22.

Conclusions:

PROPOSE works in a real-world clinical setting as a proof of concept and demonstrates acceptable performance. It may have the potential of aiding shared decision making.
Palabras clave

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies Aspecto: Patient_preference Idioma: En Revista: N Am Spine Soc J Año: 2024 Tipo del documento: Article País de afiliación: Dinamarca Pais de publicación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies Aspecto: Patient_preference Idioma: En Revista: N Am Spine Soc J Año: 2024 Tipo del documento: Article País de afiliación: Dinamarca Pais de publicación: Estados Unidos