ArticleAnnals of medicine and surgery (2012)2025
Predictors for extended hospital length of stay and 90-days reoperation in elective spinal stenosis surgery: a retrospective analysis using neural networks.
Article in Annals of medicine and surgery (2012), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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1 citing paper in PubMed.
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11 authors.
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Abstract
Study design: A retrospective comparative study. Background: The length of hospital stay and the setting to which patients are discharged after surgery can vary, impacting both healthcare resource utilization and the patient's recovery process. Identifying the factors that affect these outcomes is essential for enhancing patient care and efficiently managing resources in elective spinal stenosis surgery. Objectives: This study aims to identify the predictors associated with extended hospital length of stay and 90-day reoperation in elective spinal stenosis surgeries, to optimize patients' postoperative outcomes. Methods: We conducted a retrospective study at King Abdulaziz Medical City, Riyadh, Saudi Arabia, from January 2016 to January 2024. Statistical analyses, including multivariate analyses and neural networks, were performed using SPSS. Results: A total of 389 patients were included, with a median length of stay of 6 days (interquartile range [IQR] = 3), with 113 patients (≥75th percentile) in the extended hospital length of stay group ( Conclusion: Our study highlights the need for preoperative optimization of comorbidities, BMI, and overall health to improve postoperative outcomes and reduce costs in elective spinal stenosis surgeries.
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