Risk Factors for Dural Tears in Spinal Surgery: A Prospective Multicenter Registry Study of 1,698 Cases

Author:

Hirahata Masahiro1,Fujita Muneyoshi1,Inui Takahiro2,Ishii Keisuke2,Takekawa Tatsuhisa2,Iwai Hiroki3,Murata Yasuaki4,Yamada Kazuaki5,Shiboi Ryutaro6,Yonezawa Keisuke7,Iwahori Tomoyuki8,Iimuro Satoshi9,Fujita Retsu9,Kawano Hirotaka1,Kitagawa Tomoaki1

Affiliation:

1. Department of Orthopaedic Surgery, Teikyo University School of Medicine

2. Trauma and Reconstruction Center, Teikyo University Hospital

3. Department of Orthopaedic Surgery, Iwai Orthopaedic Medical Hospital

4. Department of Orthopaedic Surgery, Teikyo University Chiba Medical Center

5. Department of Orthopaedic Surgery, Ageo Central General Hospital

6. Department of Orthopaedic Surgery, Oono Central Hospital

7. Department of Orthopaedic Surgery, Misato Central General Hospital

8. Department of Orthopaedic Surgery, Shimazaki Hospital

9. Innovation and Research Support Center, International University of Health and Welfare

Abstract

Abstract PurposeTo clarify the predictors of dural tear (DT) through a prospective cohort study with a low dropout rate. Methods In this prospective multicenter cohort study in Japan, a registry was established to collect information about patients undergoing spinal surgery between July 1, 2020 and June 30, 2021 at 10 hospitals. Clinical features, laboratory data, and operative factors were collected from the database. Risk factors were analyzed by comparing DT and non-DT groups. ResultsA total of 1,698 patients were enrolled. There were 74 cases with unintended DTs (4.4%; DT group) and 1624 cases without DTs (non-DT group). Multivariate analysis revealed that age, rheumatoid arthritis, non-attending surgeon as the operator, and creatinine kinase were significant risk factors for DTs. Conclusions The incidence of DTs in spinal surgery was 4.4%, and identified risk factors were age, rheumatoid arthritis, non-attending surgeon as the operator, and creatinine kinase.

Publisher

Research Square Platform LLC

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3