作者
Akash A Shah, Aditya V Karhade, Christopher M Bono, Mitchel B Harris, Sandra B Nelson, Joseph H Schwab
发表日期
2019/10/1
期刊
The Spine Journal
卷号
19
期号
10
页码范围
1657-1665
出版商
Elsevier
简介
BACKGROUND CONTEXT
Data regarding risk of failure of nonoperative management in spinal epidural abscess (SEA) are limited. Given the potential for deterioration with treatment failure, a tool that predicts the probability of failure would be of great clinical utility.
PURPOSE
We primarily aim to build a machine learning model using independent predictors of nonoperative management failure. Secondarily, we aim to develop an open-access web-based application that provides a patient-specific probability of treatment failure.
STUDY DESIGN/SETTING
Retrospective, case-control study.
PATIENT SAMPLE
Patients 18 years or older diagnosed with SEA at 2 academic medical centers and 3 community hospitals.
OUTCOME MEASURES
Failure of nonoperative management.
METHODS
This is a retrospective cohort study of 367 patients with SEA initially managed nonoperatively between 1993 and 2016. The primary …
学术搜索中的文章
AA Shah, AV Karhade, CM Bono, MB Harris… - The Spine Journal, 2019