作者
Akash A Shah, Aditya V Karhade, Howard Y Park, William L Sheppard, Luke J Macyszyn, Richard G Everson, Arya N Shamie, Don Y Park, Joseph H Schwab, Francis J Hornicek
发表日期
2021/10/1
期刊
The Spine Journal
卷号
21
期号
10
页码范围
1679-1686
出版商
Elsevier
简介
BACKGROUND CONTEXT
Surgical decompression and stabilization in the setting of spinal metastasis is performed to relieve pain and preserve functional status. These potential benefits must be weighed against the risks of perioperative morbidity and mortality. Accurate prediction of a patient's postoperative survival is a crucial component of patient counseling.
PURPOSE
To externally validate the SORG machine learning algorithms for prediction of 90-day and 1-year mortality after surgery for spinal metastasis.
STUDY DESIGN/SETTING
Retrospective, cohort study
PATIENT SAMPLE
Patients 18 years or older at a tertiary care medical center treated surgically for spinal metastasis
OUTCOME MEASURES
Mortality within 90 days of surgery, mortality within 1 year of surgery
METHODS
This is a retrospective cohort study of 298 adult patients at a tertiary care medical center treated surgically for spinal metastasis between …
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AA Shah, AV Karhade, HY Park, WL Sheppard… - The Spine Journal, 2021