论文已发表
注册即可获取德孚的最新动态
IF 收录期刊
Authors Li Y, Zheng S, Wu Y, Liu X, Dang G, Sun Y, Chen Z, Wang J, Li J, Liu Z
Received 19 October 2018
Accepted for publication 23 January 2019
Published 15 February 2019 Volume 2019:14 Pages 361—366
DOI https://doi.org/10.2147/CIA.S191449
Checked for plagiarism Yes
Review by Single-blind
Peer reviewers approved by Dr Colin Mak
Peer reviewer comments 4
Editor who approved publication: Dr Richard Walker
Purpose: Given the
aging Chinese population and the inevitable degenerative process of the spine,
more elderly patients with spinal degenerative disease (SDD) are surgical
candidates, placing a significant burden on health care resources. Few studies
have investigated recent trends in hospital admissions and procedures for SDD
in China. This study aimed to identify the trends, if any, in the number of
surgical procedures undertaken for SDD in a large patient cohort.
Materials and methods: This
retrospective cohort analysis used data from inpatient medical records at
Peking University Third Hospital between 2003 and 2016. Descriptive statistical
analysis, regression models, and a Holt–Winters seasonal model were used to
analyze trends.
Results: Altogether,
38,676 surgery records from 37,897 SDD patients who had undergone surgical
treatment were included in our study, among whom 49.60%, 47.81%, and 2.59% were
treated because of cervical, lumbar, and thoracic degenerative disease,
respectively. There was an increasing trend for spinal surgery performance with
an increasing mean age at surgery, from 50.65 years of age in 2003 to 55.29
years in 2016. We also revealed interesting seasonal variation in our study –
that is, most of the spinal procedures were performed during the winter and
spring months.
Conclusion: Our study
showed a significantly increasing surgical workload for addressing SDD in
China. Both the public and the health care system should be aware of this
increase in chronic degenerative disease in the aging population.
Keywords: spinal
degenerative disease, surgical treatment, trends, seasonal variation