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DOI 10.1097/ms9.0000000000004017

Медицинская библиотека · Annals 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.

Aljabr Abdulmajeed A, Alqahtani Bader K, Alghamdi Abdullah M, Alsalem Omar F, Almanna Mohammed A, Alnefaie Nada T, Alshardan Mohammed M, Alshehri Abdullah M, Abalkail Majed S, Alhelal Fahad H, Aleissa Sami I

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Аннотация

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 (n = 113; 29.3%). Age ≥60 years (P = 0.021), reoperation within 90 days (P = 0.027), body mass index (BMI) ≥35 (P = 0.001), diabetes (P = 0.004), and American Society of Anesthesiologists (ASA) classification (P = 0.019) were found to be significant predictors of extended hospital stay. In the multivariate analysis, BMI ≥35 (P = 0.002) and diabetes (P = 0.030) remained significant predictors of extended hospital length of stay. ASA classification (P = 0.001) and prolonged hospital stay (P = 0.027) were significant predictors of 90-day reoperation risk in the bivariate analysis; however, these associations were not retained in the multivariate analysis.

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.

Для цитирования: Aljabr Abdulmajeed A, Alqahtani Bader K, Alghamdi Abdullah M, Alsalem Omar F, Almanna Mohammed A, Alnefaie Nada T, Alshardan Mohammed M, Alshehri Abdullah M, Abalkail Majed S, Alhelal Fahad H, Aleissa Sami I. Predictors for extended hospital length of stay and 90-days reoperation in elective spinal stenosis surgery: a retrospective analysis using neural networks.. Annals of medicine and surgery (2012). 2025. DOI: 10.1097/ms9.0000000000004017.
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