Affiliation:
1. Department of Spinal Surgery, Affiliated Hospital of Xuzhou Medical University, Xuzhou, Jiangsu 221000, China
2. Clinical Laboratory, Xuzhou Maternal and Child Health Care Hospital, Xuzhou, Jiangsu 221000, China
Abstract
With an increasing elderly population worldwide, the incidence of spine degenerative diseases with neck and shoulder pain as the main symptom is rising obviously, which has now become one of the important and difficult problems in sociomedical science. This study was to explore the effects of different ratios of recombinant human bone morphogenetic protein-2 (rhBMP-2) compound to the autogenous bone on cervical interbody fusion. 90 cervical degeneration patients with the need of surgical treatment admitted to our hospital from January 2019 to January 2020 were selected as the research objects and equally divided into group A, group B, and group C according to the order of admission, with 30 cases in each group and the ratios of rhBMP-2 compound to autogenous bone being 2 : 1, 1 : 1, and 1 : 2 respectively, and standard anterior cervical diskectomy and fusion (ACDF) treatment was performed to all patients to compare their surgery-related indexes, the Japanese Orthopaedic Association (JOA) score, the visual analog scale (VAS) score, the effect of cervical interbody fusion, and the postoperative complication rate (CR). Compared with group A and group C, group B achieved the significantly better surgery-related indexes (
), significantly higher postoperative JOA scores (
), significantly lower postoperative neck and upper limb VAS scores (
), significantly better effect of cervical interbody fusion (
), and significantly lower postoperative CR (
). 1 : 1 is the best ratio of rhBMP-2 compound to the autogenous bone, for it can optimize patients’ perioperative indexes, reduce the postoperative pain, lower the possibility of complications, and improve the effect of cervical interbody fusion, which should be promoted and applied in practice.
Funder
Xuzhou Scientific and Technological Program
Subject
Health Informatics,Biomedical Engineering,Surgery,Biotechnology