Developing Mixed-Effects Models to Compare the Predictive Ability of Various Comorbidity Indices in a Contemporary Cohort of Patients Undergoing Lumbar Fusion

Shahrestani, S., Reardon, T., Brown, N. J., Kuo, C. C., Gendreau, J., Singh, R., Patel, N. A., Chou, D., & Chan, A. K. (2023). Developing Mixed-Effects Models to Compare the Predictive Ability of Various Comorbidity Indices in a Contemporary Cohort of Patients Undergoing Lumbar Fusion. Neurosurgery, 94(4), 711–720. https://doi.org/10.1227/neu.0000000000002733
Authors:
Shane Shahrestani
Taylor Reardon
Nolan J Brown
Cathleen C Kuo
Julian Gendreau
Rohin Singh
Neal A Patel
Dean Chou
Andrew K Chan
Affiliated Authors:
Dean Chou
Andrew K Chan
Subjects:
Frailty (MeSH)
Spinal Fusion (MeSH)
Author Keywords:
frailty
elixhauser comorbidity index
machine learning
neurosurgery
spine
Publication Type:
Article
Unique ID:
10.1227/neu.0000000000002733
PMID:
Journal:
Publication Date:
Data Source:
PubMed

Record Created: