Predictive modeling for identifying infection risk following spinal surgery: Optimizing patient management-Reference-Cited by-同舟云学术

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Predictive modeling for identifying infection risk following spinal surgery: Optimizing patient management

Published:2024-05-13 Issue:1 Volume:28 Page:
ISSN:1792-0981
Container-title:Experimental and Therapeutic Medicine
language:
Short-container-title:Exp Ther Med

Author:

Wang Ruiyu¹,Xiao Jie¹,Gao Qi¹,Xu Guangxin²,Ni Tingting²,Zou Jingcheng²,Wang Tingting²,Luo Ge²,Cheng Zhenzhen²,Wang Ying³,Tao Xinchen²,Sun Dawei²,Yao Yuanyuan²,Yan Min²

Affiliation:

1. Department of Anesthesiology, Weifang Medical University, Weifang, Shandong 261041, P.R. China

2. Department of Anesthesiology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang 330100, P.R. China

3. Department of Anesthesiology, Xuzhou Medical University, Xuzhou, Jiangsu 221004, P.R. China

Publisher

Spandidos Publications

Reference32 articles.

1. Prevalence of adolescent idiopathic scoliosis in Turkey: An epidemiological study;Yılmaz;Spine J,2020

2. Complications following surgery for adolescent idiopathic scoliosis over a 13-year period;Kwan;Bone Joint J,2020

3. Neuromuscular scoliosis complication rates from 2004 to 2015: A report from the Scoliosis Research Society Morbidity and Mortality database;Cognetti;Neurosurg Focus,2017

4. Burden of Surgical Site Infections Associated with Select Spine Operations and Involvement of Staphylococcus aureus;Patel;Surg Infect (Larchmt),2017

5. The effect of postoperative spinal infections on patient mortality;Casper;Spine (Phila Pa 1976),2018

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