Leveraging machine learning to develop a postoperative predictive model for postoperative urinary retention following lumbar spine surgery

• Published in: Frontiers in neurology Vol. 15; p. 1386802
• Main Authors: Malnik, Samuel L., Porche, Ken, Mehkri, Yusuf, Yue, Sijia, Maciel, Carolina B., Lucke-Wold, Brandon P., Robicsek, Steven A., Decker, Matthew, Busl, Katharina M.
• Format: Journal Article
• Language: English
• Published: Switzerland Frontiers Media S.A 26.06.2024
• Subjects: lumbar surgery; machine learning; Neurology; postoperative complications; risk factors; urinary catheterization; urinary retention; postoperative complications; risk factors; lumbar surgery; machine learning; urinary catheterization; urinary retention

Postoperative urinary retention (POUR) is the inability to urinate after a surgical procedure despite having a full bladder. It is a common complication following lumbar spine surgery which has been extensively linked to increased patient morbidity and hospital costs. This study hopes to development...