Open Access

Logistic regression analysis of risk factors for postoperative recurrence of spinal tumors and analysis of prognostic factors

  • Authors:
    • Shanyong Zhang
    • Lili Yang
    • Chuangang Peng
    • Minfei Wu
  • View Affiliations

  • Published online on: December 4, 2017     https://doi.org/10.3892/ol.2017.7509
  • Pages: 1716-1722
  • Copyright: © Zhang et al. This is an open access article distributed under the terms of Creative Commons Attribution License.

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Abstract

The aim of the present study was to investigate the risk factors for postoperative recurrence of spinal tumors by logistic regression analysis and analysis of prognostic factors. In total, 77 male and 48 female patients with spinal tumor were selected in our hospital from January, 2010 to December, 2015 and divided into the benign (n=76) and malignant groups (n=49). All the patients underwent microsurgical resection of spinal tumors and were reviewed regularly 3 months after operation. The McCormick grading system was used to evaluate the postoperative spinal cord function. Data were subjected to statistical analysis. Of the 125 cases, 63 cases showed improvement after operation, 50 cases were stable, and deterioration was found in 12 cases. The improvement rate of patients with cervical spine tumor, which reached 56.3%, was the highest. Fifty-two cases of sensory disturbance, 34 cases of pain, 30 cases of inability to exercise, 26 cases of ataxia, and 12 cases of sphincter disorders were found after operation. Seventy-two cases (57.6%) underwent total resection, 18 cases (14.4%) received subtotal resection, 23 cases (18.4%) received partial resection, and 12 cases (9.6%) were only treated with biopsy/decompression. Postoperative recurrence was found in 57 cases (45.6%). The mean recurrence time of patients in the malignant group was 27.49±6.09 months, and the mean recurrence time of patients in the benign group was 40.62±4.34. The results were significantly different (P<0.001). Recurrence was found in 18 cases of the benign group and 39 cases of the malignant group, and results were significantly different (P<0.001). Tumor recurrence was shorter in patients with a higher McCormick grade (P<0.001). Recurrence was found in 13 patients with resection and all the patients with partial resection or biopsy/decompression. The results were significantly different (P<0.001). Logistic regression analysis of total resection-related factors showed that total resection should be the preferred treatment for patients with benign tumors, thoracic and lumbosacral tumors, and lower McCormick grade, as well as patients without syringomyelia and intramedullary tumors. Logistic regression analysis of recurrence-related factors revealed that the recurrence rate was relatively higher in patients with malignant, cervical, thoracic and lumbosacral, intramedullary tumors, and higher McCormick grade and patient received partial resection or biopsy. Tumor property, tumor location, McCormick grade, tumor resection, and intramedullary tumors are risk factors for the recurrence of spinal tumors. Clinical assessment of these risk factors may be helpful in selecting appropriate treatment strategies.

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February 2018
Volume 15 Issue 2

Print ISSN: 1792-1074
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APA
Zhang, S., Yang, L., Peng, C., & Wu, M. (2018). Logistic regression analysis of risk factors for postoperative recurrence of spinal tumors and analysis of prognostic factors. Oncology Letters, 15, 1716-1722. https://doi.org/10.3892/ol.2017.7509
MLA
Zhang, S., Yang, L., Peng, C., Wu, M."Logistic regression analysis of risk factors for postoperative recurrence of spinal tumors and analysis of prognostic factors". Oncology Letters 15.2 (2018): 1716-1722.
Chicago
Zhang, S., Yang, L., Peng, C., Wu, M."Logistic regression analysis of risk factors for postoperative recurrence of spinal tumors and analysis of prognostic factors". Oncology Letters 15, no. 2 (2018): 1716-1722. https://doi.org/10.3892/ol.2017.7509