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Dataset Information

Development of a Prediction Model for Significant Adverse Outcome After Spine Surgery.


ABSTRACT:

Study design

Retrospective cohort study.

Objectives

Development, validation, and decision curve analysis of a novel tool (NZSpine) for modelling risk of complications within 30 days of spine surgery.

Methods

Data was gathered retrospectively from medical records of patients who underwent spine surgery at a single tertiary centre between January 2019 and December 2020 (n = 488). Postoperative adverse events were classified objectively using the Comprehensive Complication Index (CCI). The model was derived using backward stepwise logistic regression. Validation was undertaken using bootstrap resampling. Discrimination was determined by calculating the area under the receiver operating characteristic (AUC). Calibration was assessed graphically. Clinical utility of the mo

SUBMITTER: Coia M 

PROVIDER: S-EPMC10802546 | biostudies-literature | 2024 Mar

REPOSITORIES: biostudies-literature