Predictive Model for Length of Stay Among Patients Undergoing Surgery for Grade I Spondylolisthesis: Analysis From the Quality Outcomes Database

Praveen V Mummaneni; Mohamad Bydon; John J Knightly; Anshit Goyal; Mohammed A Alvi; Andrew Kai-Hong Chan; Jian Guan; Steven D Glassman; Kevin T Foley; Jonathan Slotkin; Eric A Potts; Mark E Shaffrey; Christopher I Shaffrey; Regis W Haid; Kai-Ming G Fu; Michael Y Wang; Paul Park; Anthony L Asher; Erica F Bisson

doi:10.1093/neuros/nyz310_827

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Predictive Model for Length of Stay Among Patients Undergoing Surgery for Grade I Spondylolisthesis: Analysis From the Quality Outcomes Database

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Predictive Model for Length of Stay Among Patients Undergoing Surgery for Grade I Spondylolisthesis: Analysis From the Quality Outcomes Database

Praveen V Mummaneni, Mohamad Bydon, John J Knightly, Anshit Goyal, Mohammed A Alvi, Andrew Kai-Hong Chan, Jian Guan, Steven D Glassman, Kevin T Foley, Jonathan Slotkin, …

Neurosurgery, Vol.66(Supplement 1), pp.310-827

2019-09

DOI: https://doi.org/10.1093/neuros/nyz310_827

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Title: Predictive Model for Length of Stay Among Patients Undergoing Surgery for Grade I Spondylolisthesis: Analysis From the Quality Outcomes Database
Creators: Praveen V Mummaneni
Mohamad Bydon
John J Knightly
Anshit Goyal
Mohammed A Alvi
Andrew Kai-Hong Chan
Jian Guan
Steven D Glassman
Kevin T Foley
Jonathan Slotkin
Eric A Potts
Mark E Shaffrey
Christopher I Shaffrey
Regis W Haid
Kai-Ming G Fu
Michael Y Wang
Paul Park
Anthony L Asher
Erica F Bisson
Publication Details: Neurosurgery, Vol.66(Supplement 1), pp.310-827
Academic Unit: UMMG Dept of Neurological Surgery; Miller School of Medicine
Language: English
Resource Type: Journal article
Record Identifier: 991031713241502976