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Chen L, Liu C, Ye Z, Chen W, Sun X, Chen J, Li H, Liang T, Huang S, Jiang J, Chen T, Guo H, Yao Y, Liao S, Yu C, Wu S, Fan B, Zhan X. Comparison of Clinical Data Between Patients With Complications and Without Complications After Spinal Tuberculosis Surgery: A Propensity Score Matching Analysis. Front Surg 2022; 9:815303. [PMID: 35425806 PMCID: PMC9002237 DOI: 10.3389/fsurg.2022.815303] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2021] [Accepted: 03/07/2022] [Indexed: 11/13/2022] Open
Abstract
Purpose This 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. Methods The 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. Results A 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). Conclusion Several 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.
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Chen L, Gan Z, Huang S, Liang T, Sun X, Yi M, Wu S, Fan B, Chen J, Chen T, Ye Z, Chen W, Li H, Jiang J, Guo H, Yao Y, Liao S, Yu C, Liu C, Zhan X. Blood transfusion risk prediction in spinal tuberculosis surgery: development and assessment of a novel predictive nomogram. BMC Musculoskelet Disord 2022; 23:182. [PMID: 35216570 PMCID: PMC8876452 DOI: 10.1186/s12891-022-05132-z] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/06/2021] [Accepted: 02/17/2022] [Indexed: 11/26/2022] Open
Abstract
Objective The present study attempted to predict blood transfusion risk in spinal tuberculosis surgery by using a novel predictive nomogram. Methods The study was conducted on the clinical data of 495 patients (167 patients in the transfusion group and 328 patients in the non-transfusion group) who underwent spinal tuberculosis surgery in our hospital from June 2012 to June 2021. The least absolute shrinkage and selection operator (LASSO) and multivariable logistic regression analyses were used to screen out statistically significant parameters, which were included to establish a novel predictive nomogram model. The receiver operating characteristic (ROC) curve, calibration curves, C-index, and decision curve analysis (DCA) were used to evaluate the model. Finally, the nomogram was further assessed through internal validation. Results The C-index of the nomogram was 0.787 (95% confidence interval: 74.6%–.82.8%). The C-value calculated by internal validation was 0.763. The area under the curve (AUC) of the predictive nomogram was 0.785, and the DCA was 0.01–0.79. Conclusion A nomogram with high accuracy, clinical validity, and reliability was established to predict blood transfusion risk in spinal tuberculosis surgery. Surgeons must prepare preoperative surgical strategies and ensure adequate availability of blood before surgery.
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Affiliation(s)
- Liyi Chen
- Spine and osteopathy ward, First Affiliated Hospital of GuangXi Medical University, Nanning, Guangxi Province, China
| | - Zhaoping Gan
- Department of Hematology, First Affiliated Hospital of GuangXi Medical University, Nanning, Guangxi Province, China
| | - Shengsheng Huang
- Spine and osteopathy ward, First Affiliated Hospital of GuangXi Medical University, Nanning, Guangxi Province, China
| | - Tuo Liang
- Spine and osteopathy ward, First Affiliated Hospital of GuangXi Medical University, Nanning, Guangxi Province, China
| | - Xuhua Sun
- Spine and osteopathy ward, First Affiliated Hospital of GuangXi Medical University, Nanning, Guangxi Province, China
| | - Ming Yi
- Spine and osteopathy ward, First Affiliated Hospital of GuangXi Medical University, Nanning, Guangxi Province, China
| | - Shaofeng Wu
- Spine and osteopathy ward, First Affiliated Hospital of GuangXi Medical University, Nanning, Guangxi Province, China
| | - Binguang Fan
- Spine and osteopathy ward, First Affiliated Hospital of GuangXi Medical University, Nanning, Guangxi Province, China
| | - Jiarui Chen
- Spine and osteopathy ward, First Affiliated Hospital of GuangXi Medical University, Nanning, Guangxi Province, China
| | - Tianyou Chen
- Spine and osteopathy ward, First Affiliated Hospital of GuangXi Medical University, Nanning, Guangxi Province, China
| | - Zhen Ye
- Spine and osteopathy ward, First Affiliated Hospital of GuangXi Medical University, Nanning, Guangxi Province, China
| | - Wuhua Chen
- Spine and osteopathy ward, First Affiliated Hospital of GuangXi Medical University, Nanning, Guangxi Province, China
| | - Hao Li
- Spine and osteopathy ward, First Affiliated Hospital of GuangXi Medical University, Nanning, Guangxi Province, China
| | - Jie Jiang
- Spine and osteopathy ward, First Affiliated Hospital of GuangXi Medical University, Nanning, Guangxi Province, China
| | - Hao Guo
- Spine and osteopathy ward, First Affiliated Hospital of GuangXi Medical University, Nanning, Guangxi Province, China
| | - Yuanlin Yao
- Spine and osteopathy ward, First Affiliated Hospital of GuangXi Medical University, Nanning, Guangxi Province, China
| | - Shian Liao
- Spine and osteopathy ward, First Affiliated Hospital of GuangXi Medical University, Nanning, Guangxi Province, China
| | - Chaojie Yu
- Spine and osteopathy ward, First Affiliated Hospital of GuangXi Medical University, Nanning, Guangxi Province, China
| | - Chong Liu
- Spine and osteopathy ward, First Affiliated Hospital of GuangXi Medical University, Nanning, Guangxi Province, China.
| | - Xinli Zhan
- Spine and osteopathy ward, First Affiliated Hospital of GuangXi Medical University, Nanning, Guangxi Province, China.
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