Endoscopic and Nonendoscopic Approaches to Single-Level Lumbar Spine Decompression: Propensity Score-Matched Comparative Analysis and Frailty-Driven Predictive Model

Objective The endoscopic spine surgery (ESS) approach is associated with high levels of patient satisfaction, shorter recovery time, and reduced complications. The present study reports multicenter, international data, comparing ESS and non-ESS approaches for single-level lumbar decompression, and p...

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Main Authors: Alexander J. Kassicieh, Kavelin Rumalla, Aaron C. Segura, Syed Faraz Kazim, John Vellek, Meic H. Schmidt, Peter C. Shin, Christian A. Bowers
Format: Article
Language:English
Published: Korean Spinal Neurosurgery Society 2023-03-01
Series:Neurospine
Subjects:
Online Access:http://e-neurospine.org/upload/pdf/ns-2346110-055.pdf
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author Alexander J. Kassicieh
Kavelin Rumalla
Aaron C. Segura
Syed Faraz Kazim
John Vellek
Meic H. Schmidt
Peter C. Shin
Christian A. Bowers
author_facet Alexander J. Kassicieh
Kavelin Rumalla
Aaron C. Segura
Syed Faraz Kazim
John Vellek
Meic H. Schmidt
Peter C. Shin
Christian A. Bowers
author_sort Alexander J. Kassicieh
collection DOAJ
description Objective The endoscopic spine surgery (ESS) approach is associated with high levels of patient satisfaction, shorter recovery time, and reduced complications. The present study reports multicenter, international data, comparing ESS and non-ESS approaches for single-level lumbar decompression, and proposes a frailty-driven predictive model for nonhome discharge (NHD) disposition. Methods Cases of ESS and non-ESS lumbar spine decompression were queried from the American College of Surgeons National Surgical Quality Improvement Program database (2017–2020). Propensity score matching was performed on baseline characteristics frailty score (measured by risk analysis index [RAI] and modified frailty index-5 [mFI-5]). The primary outcome of interest was NHD disposition. A predictive model was built using logistic regression with RAI as the primary driver. Results Single-level nonfusion spine lumbar decompression surgery was performed in 38,686 patients. Frailty, as measured by RAI, was a reliable predictor of NHD with excellent discriminatory accuracy in receiver operating characteristic (ROC) curve analysis: C-statistic: 0.80 (95% confidence interval [CI], 0.65–0.94) in ESS cohort, C-statistic: 0.75 (95% CI, 0.73–0.76) overall cohort. After propensity score matching, there was a reduction in total operative time (89 minutes vs. 103 minutes, p = 0.049) and hospital length of stay (LOS) (0.82 days vs. 1.37 days, p < 0.001) in patients treated endoscopically. In ROC curve analysis, the frailty-driven predictive model performed with excellent diagnostic accuracy for the primary outcome of NHD (C-statistic: 0.87; 95% CI, 0.85–0.88). Conclusion After frailty-based propensity matching, ESS is associated with reduced operative time, shorter hospital LOS, and decreased NHD. The RAI frailty-driven model predicts NHD with excellent diagnostic accuracy and may be applied to preoperative decision-making with a user-friendly calculator: nsgyfrailtyoutcomeslab.shinyapps.io/lumbar_decompression_dischargedispo.
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spelling doaj.art-c50338afd1be4bb491823c236b9679052024-02-03T04:29:36ZengKorean Spinal Neurosurgery SocietyNeurospine2586-65832586-65912023-03-0120111912810.14245/ns.2346110.0551387Endoscopic and Nonendoscopic Approaches to Single-Level Lumbar Spine Decompression: Propensity Score-Matched Comparative Analysis and Frailty-Driven Predictive ModelAlexander J. Kassicieh0Kavelin Rumalla1Aaron C. Segura2Syed Faraz Kazim3John Vellek4Meic H. Schmidt5Peter C. Shin6Christian A. Bowers7 Department of Neurosurgery, University of New Mexico Hospital (UNMH), Albuquerque, NM, USA Department of Neurosurgery, University of New Mexico Hospital (UNMH), Albuquerque, NM, USA Department of Neurosurgery, University of New Mexico Hospital (UNMH), Albuquerque, NM, USA Department of Neurosurgery, University of New Mexico Hospital (UNMH), Albuquerque, NM, USA Bowers Neurosurgical Frailty and Outcomes Data Science Lab, Albuquerque, NM, USA Department of Neurosurgery, University of New Mexico Hospital (UNMH), Albuquerque, NM, USA Department of Neurosurgery, University of New Mexico Hospital (UNMH), Albuquerque, NM, USA Department of Neurosurgery, University of New Mexico Hospital (UNMH), Albuquerque, NM, USAObjective The endoscopic spine surgery (ESS) approach is associated with high levels of patient satisfaction, shorter recovery time, and reduced complications. The present study reports multicenter, international data, comparing ESS and non-ESS approaches for single-level lumbar decompression, and proposes a frailty-driven predictive model for nonhome discharge (NHD) disposition. Methods Cases of ESS and non-ESS lumbar spine decompression were queried from the American College of Surgeons National Surgical Quality Improvement Program database (2017–2020). Propensity score matching was performed on baseline characteristics frailty score (measured by risk analysis index [RAI] and modified frailty index-5 [mFI-5]). The primary outcome of interest was NHD disposition. A predictive model was built using logistic regression with RAI as the primary driver. Results Single-level nonfusion spine lumbar decompression surgery was performed in 38,686 patients. Frailty, as measured by RAI, was a reliable predictor of NHD with excellent discriminatory accuracy in receiver operating characteristic (ROC) curve analysis: C-statistic: 0.80 (95% confidence interval [CI], 0.65–0.94) in ESS cohort, C-statistic: 0.75 (95% CI, 0.73–0.76) overall cohort. After propensity score matching, there was a reduction in total operative time (89 minutes vs. 103 minutes, p = 0.049) and hospital length of stay (LOS) (0.82 days vs. 1.37 days, p < 0.001) in patients treated endoscopically. In ROC curve analysis, the frailty-driven predictive model performed with excellent diagnostic accuracy for the primary outcome of NHD (C-statistic: 0.87; 95% CI, 0.85–0.88). Conclusion After frailty-based propensity matching, ESS is associated with reduced operative time, shorter hospital LOS, and decreased NHD. The RAI frailty-driven model predicts NHD with excellent diagnostic accuracy and may be applied to preoperative decision-making with a user-friendly calculator: nsgyfrailtyoutcomeslab.shinyapps.io/lumbar_decompression_dischargedispo.http://e-neurospine.org/upload/pdf/ns-2346110-055.pdfageendoscopic spine surgeryfrailtymodified frailty indexnational surgical quality improvement programrisk analysis index
spellingShingle Alexander J. Kassicieh
Kavelin Rumalla
Aaron C. Segura
Syed Faraz Kazim
John Vellek
Meic H. Schmidt
Peter C. Shin
Christian A. Bowers
Endoscopic and Nonendoscopic Approaches to Single-Level Lumbar Spine Decompression: Propensity Score-Matched Comparative Analysis and Frailty-Driven Predictive Model
Neurospine
age
endoscopic spine surgery
frailty
modified frailty index
national surgical quality improvement program
risk analysis index
title Endoscopic and Nonendoscopic Approaches to Single-Level Lumbar Spine Decompression: Propensity Score-Matched Comparative Analysis and Frailty-Driven Predictive Model
title_full Endoscopic and Nonendoscopic Approaches to Single-Level Lumbar Spine Decompression: Propensity Score-Matched Comparative Analysis and Frailty-Driven Predictive Model
title_fullStr Endoscopic and Nonendoscopic Approaches to Single-Level Lumbar Spine Decompression: Propensity Score-Matched Comparative Analysis and Frailty-Driven Predictive Model
title_full_unstemmed Endoscopic and Nonendoscopic Approaches to Single-Level Lumbar Spine Decompression: Propensity Score-Matched Comparative Analysis and Frailty-Driven Predictive Model
title_short Endoscopic and Nonendoscopic Approaches to Single-Level Lumbar Spine Decompression: Propensity Score-Matched Comparative Analysis and Frailty-Driven Predictive Model
title_sort endoscopic and nonendoscopic approaches to single level lumbar spine decompression propensity score matched comparative analysis and frailty driven predictive model
topic age
endoscopic spine surgery
frailty
modified frailty index
national surgical quality improvement program
risk analysis index
url http://e-neurospine.org/upload/pdf/ns-2346110-055.pdf
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