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ABSTRACT: Background
The adverse events and complications caused by blood loss after spinal surgery have attracted increasing amounts of attention. This retrospective study aimed to identify risk factors for postoperative bleeding and develop predictive models.Methods
This was a retrospective analysis of patients who underwent spinal fusion surgery between November 2018 and December 2019. Preoperative data were collected, and LASSO regression and multifactor regression analyses were performed to identify risk factors for increased postoperative blood loss. Using the obtained risk factors, a nomogram model was established. The nomogram was evaluated based on the concordance index (C-index), receiver operating characteristic (ROC) curve, decision curve analysis (DCA), and calibration c
SUBMITTER: Li Y
PROVIDER: S-EPMC12481851 | biostudies-literature | 2025 Sep
REPOSITORIES: biostudies-literature