Predictors for extended hospital length of stay and 90-days reoperation in elective spinal stenosis surgery: a retrospective analysis using neural networks

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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Publication Details

Journal
Annals of Medicine and Surgery
Published
2025-10-14
DOI
https://doi.org/10.1097/ms9.0000000000004017
Primary Topic
Cardiac, Anesthesia and Surgical Outcomes
Type
article
Field-Weighted Citation Impact
0.00
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article

Predictors for extended hospital length of stay and 90-days reoperation in elective spinal stenosis surgery: a retrospective analysis using neural networks

Abdullah M. Alghamdi, Omar F. Alsalem, Nada Alnefaie, Abdullah Alshehri et al.
Annals of Medicine and Surgery
Cardiac, Anesthesia and Surgical Outcomes
article

Predictors for extended hospital length of stay and 90-days reoperation in elective spinal stenosis surgery: a retrospective analysis using neural networks

Abdullah M. Alghamdi, Omar F. Alsalem, Nada Alnefaie, Abdullah Alshehri, Sami Aleissa, Bader Alqahtani, Mohammad Alshardan, Mohammed A. Almanna, Fahad Alhelal, Abdulmajeed Abdulaziz Aljabr, Majed S. Abalkail
article en

Abstract

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.

Annals of Medicine and SurgeryVol. 87(12)
King Saud bin Abdulaziz University for Health Sciences (SA), King Fahd Medical City (SA), King Abdullah Petroleum Studies and Research Center (SA), King Abdullah International Medical Research Center (SA), King Abdullah Medical City (SA), National Guard Health Affairs (SA)
Openalex Percentile: Top 57%
Cardiac, Anesthesia and Surgical Outcomes
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