Prognostic factors and nomogram prediction of survival probability in primary spinal cord astrocytoma patients

Author:

Yuan Chenghua123,Yao Qingyu123,Cheng Lei123,Zhang Can123,Ma Longbing123,Guan Jian123,Jian Fengzeng123

Affiliation:

1. 1Department of Neurosurgery, Division of Spine, China International Neuroscience Institute (CHINA-INI), Xuanwu Hospital, Capital Medical University;

2. 2Research Center of Spine and Spinal Cord, Beijing Institute for Brain Disorders, Capital Medical University; and

3. 3Lab of Spinal Cord Injury and Functional Reconstruction, China International Neuroscience Institute (CHINA-INI), Xuanwu Hospital, Capital Medical University, Beijing, China

Abstract

OBJECTIVE Knowledge on the management of spinal cord astrocytoma (SCA) remains scarce. Here, the authors constructed and validated a predictive nomogram, often used for individualized prognosis and evaluations, to estimate cancer-specific survival (CSS) and overall survival (OS) for patients with SCA. METHODS Epidemiological characteristics were compared between low-grade SCA (LGSCA) and high-grade SCA (HGSCA) patients from the Surveillance, Epidemiology, and End Results (SEER) database. Risk factors for CSS and OS were determined using univariate and multivariate analyses and Kaplan-Meier curves. A nomogram was developed to individually predict the 3-, 5-, and 10-year CSS and OS rates. The clinical usefulness of the nomogram was assessed using calibration plots, the concordance index (C-index), and time-dependent receiver operating characteristic curves. RESULTS A total of 468 LGSCA and 165 HGSCA patients were eligible for inclusion. LGSCA and HGSCA patients demonstrated differences in age, tumor extension, insurance status, adjuvant treatment, and survival. Multivariate analysis demonstrated that in the LGSCA group, tumor extension, surgery type, and adjuvant therapy were individually associated with CSS. The distance of tumor extension and WHO grade were individually associated with CSS in the HGSCA group. The prognostic variables were further demonstrated using the Kaplan-Meier method, which also suggested that adjuvant treatment provided no advantage to HGSCA patients. A nomogram was constructed, and the C-index for CSS was 0.84 by internal validation (95% CI 0.79–0.90). CONCLUSIONS This research suggests that the distance of tumor extension, type of surgery, and adjuvant therapy are significant risk factors for CSS using multivariate analysis in the LGSCA group. Adjuvant treatment provided no advantages for CSS or OS in patients with HGSCAs. The nomogram may be clinically useful to healthcare providers.

Publisher

Journal of Neurosurgery Publishing Group (JNSPG)

Subject

General Medicine

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