An Innovative Prone Position Using a Body-Shape Plaster Bed and Skull Traction for Posterior Cervical Spine Fracture Surgeries

Author:

Ding Zhiyu,Ren Yijun,Cao Hongqing,Li Yuezhan,Chen Shijie,Miao Jinglei,Li Jinsong

Abstract

BackgroundAn innovative prone cervical spine surgical position using a body-shape plaster bed with skull traction (BSPST) was compared with the traditional prone surgical position with horseshoe headrests.MethodsA total of 47 patients, undergoing posterior cervical spine surgery for cervical spine fracture, were retrospectively classified into two groups, the BSPST group (n = 24) and the traditional group (n = 23), and underwent a posterior instrumented fusion with or without decompression. Multiple indicators were used to evaluate the advantages of the BSPST compared with the traditional position.ResultsAll the operations went smoothly. The mean recovery rate was 56.30% in the BSPST group and 48.55% in the traditional group (p = 0.454), with no significant difference. The intraoperative blood loss (177.5 ml vs. 439.1 ml, p = 0.003) and the total incidence of complications (8.3 vs. 47.8%, p = 0.004) were significantly less in the BSPST group than in the traditional group. In addition, the BSPST position provided a greater comfort level for the operators and allowed convenient intraoperative radiography.ConclusionsThis is the first study to describe a combined body-shape plaster bed and skull traction as an innovative cervical spine-prone surgical position that is simple, safe, and stable, intraoperative traction direction adjustable, reproducible, and economical for posterior cervical spine fracture surgery, and potentially other cervical and upper dorsal spine surgeries in the prone position. Additionally, this position provides the surgeons with a comfortable surgical field and can be easily achieved in most orthopedic operation rooms.

Publisher

Frontiers Media SA

Subject

Surgery

Reference22 articles.

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1. Intelligent orthopedic traction bed - a pioneer of intelligent medical devices with intelligent diagnosis and treatment functions under the background of medical big data;Proceedings of the 2023 4th International Symposium on Artificial Intelligence for Medicine Science;2023-10-20

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