Back to Search Start Over

Risk factors of cervical surgery related complications in patients older than 80 years

Authors :
Koji Tamai
Hidetomi Terai
Akinobu Suzuki
Hiroaki Nakamura
Masaomi Yamashita
Yawara Eguchi
Shiro Imagama
Kei Ando
Kazuyoshi Kobayashi
Morio Matsumoto
Ken Ishii
Tomohiro Hikata
Shoji Seki
Masaaki Aramomi
Tetsuhiro Ishikawa
Atsushi Kimura
Hirokazu Inoue
Gen Inoue
Masayuki Miyagi
Wataru Saito
Kei Yamada
Michio Hongo
Kenji Endo
Hidekazu Suzuki
Atsushi Nakano
Kazuyuki Watanabe
Junichi Ohya
Hirotaka Chikuda
Yasuchika Aoki
Masayuki Shimizu
Toshimasa Futatsugi
Keijiro Mukaiyama
Masaichi Hasegawa
Katsuhito Kiyasu
Haku Iizuka
Kotaro Nishida
Kenichiro Kakutani
Hideaki Nakajima
Hideki Murakami
Satoru Demura
Satoshi Kato
Katsuhito Yoshioka
Takashi Namikawa
Kei Watanabe
Kazuyoshi Nakanishi
Yukihiro Nakagawa
Mitsunori Yoshimoto
Hiroyasu Fujiwara
Norihiro Nishida
Masataka Sakane
Masashi Yamazaki
Takashi Kaito
Takeo Furuya
Sumihisa Orita
Seiji Ohtori
Source :
Spine Surgery and Related Research, Vol 1, Iss 4, Pp 179-184 (2017)
Publication Year :
2017
Publisher :
The Japanese Society for Spine Surgery and Related Research, 2017.

Abstract

Introduction: With an aging population, the proportion of patients aged 80 years requiring cervical surgery is increasing. Surgeons are concerned with the high incidence of complications in this population, because “age” itself has been reported as a strong risk factor for complications. However, it is still unknown which factors represent higher risk among these elderly patients. Therefore, this study was conducted to identify the risk factors related to surgical complications specific to elderly patients by analyzing the registry data of patients aged 80 years who underwent cervical surgery. Methods: We retrospectively studied multicenter collected registry data using multivariate analysis. Sixty-six patients aged 80 years who underwent cervical surgery and were followed up for more than one year were included in this study. Preoperative patient demographic data, including comorbidities and postoperative complications, were collected from multicenter registry data. Complications were considered as major if they required invasive intervention, caused prolonged morbidity, or resulted in prolongation of hospital stay. Logistic regression analysis was performed to analyze the risk factors for complications. A p-value of

Details

Language :
English
ISSN :
2432261X
Volume :
1
Issue :
4
Database :
Directory of Open Access Journals
Journal :
Spine Surgery and Related Research
Publication Type :
Academic Journal
Accession number :
edsdoj.7918f731542c4e8380f5ff5ea81c078f
Document Type :
article
Full Text :
https://doi.org/10.22603/ssrr.1.2017-0002