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Comparison of Clinical Data Between Patients With Complications and Without Complications After Spinal Tuberculosis Surgery: A Propensity Score Matching Analysis

Authors :
Liyi Chen
Chong Liu
Zhen Ye
Wuhua Chen
Xuhua Sun
Jiarui Chen
Hao Li
Tuo Liang
Shengsheng Huang
Jie Jiang
Tianyou Chen
Hao Guo
Yuanlin Yao
Shian Liao
Chaojie Yu
Shaofeng Wu
Binguang Fan
Xinli Zhan
Source :
Frontiers in Surgery, Vol 9 (2022)
Publication Year :
2022
Publisher :
Frontiers Media S.A., 2022.

Abstract

PurposeThis study used a propensity score matching (PSM) analysis to explore the risk factors of post-operative complications and compared the differences in clinical data between them following spinal tuberculosis surgery.MethodsThe clinical data of patients with spinal tuberculosis were collected in our hospital from June 2012 to June 2021, including general information, laboratory results, surgical information, and hospitalization costs. The data were divided into two groups: complication and without complication groups. The baseline data of the two groups were obtained using the PSM analysis. Univariate and multivariate logistic analyses were used to analyze the differences between the two groups.ResultsA total of 292 patients were included in the PSM analysis: 146 patients with complications and 146 patients without complications. The operation time, incision length, hospital stay, and albumin quantity in the complications group were 162 ± 74.1, 11.2 ± 4.76, 14.7 ± 9.34, and 1.71 ± 2.82, respectively, and those in the without complication group were 138 ± 60.5, 10.2 ± 3.56, 11.7 ± 7.44, and 0.740 ± 2.44, respectively. The laboratory costs, examination costs, guardianship costs, oxygen costs, and total costs in the complications group were higher than those in the without complication group. A significant difference was observed in the albumin quantity by logistic regression analysis (P < 0.05).ConclusionSeveral costs in the complication group were higher than in the without complication group. The albumin quantity may be an independent factor to predict post-operative complications of spinal tuberculosis by logistic regression analysis.

Details

Language :
English
ISSN :
2296875X
Volume :
9
Database :
Directory of Open Access Journals
Journal :
Frontiers in Surgery
Publication Type :
Academic Journal
Accession number :
edsdoj.596a66cd6604988b0ce66c3db5e2e37
Document Type :
article
Full Text :
https://doi.org/10.3389/fsurg.2022.815303