|
Citation
|
Liu C, Yang X, Meng B, Yang Z, Zhao X, Zhao X, Feng Y, Lei W, Wu Z. Arch. Phys. Med. Rehabil. 2019; ePub(ePub): ePub. |
|
Abstract
|
OBJECTIVE: To assess the survival and the predictors of mortality in patients with severe cervical spinal cord injuries DESIGN: Retrospective study PARTICIPANTS: From January 1, 2010 to May 31, 2018, 222 patients who suffered from severe cervical spinal cord injuries in Western China were enrolled in this study. INTERVENTIONS: Not applicable MAIN OUTCOME MEASURES: Survival rates and mortality risk factors. Measures were calculated by the product-limit method (Kaplan-Meier) and the Cox model.
RESULTS: The overall 1-year, 3-year, 5-year, and 8-year postoperative mortalities were 24.4%, 30.6%, 33.3%, 36.2%, and 39.0%, respectively. Most deaths occurred within 36 months after the injury. According to the Cox proportional hazards model, the significant predictors of survival were as follows: (1) age, (2) neurologic level, (3) treatment options (surgical or conservative), and (4) ventilator support (P＜0.05). The 8-year mortality for older patients (>50 years) was 50.2%, which was significantly higher than that for younger patients (32.4%, <50 years). The risk of death was 2.053 times higher in higher levels of injury (C1-C4) than in lower levels of injury (C5-C8) (P＜0.05). Compared with conservative treatment, patients who received surgical treatment (either anterior or posterior decompression) had a lower risk of death (P＜0.05). No significant difference was detected in the risk of death between early surgery (<3 days) and mid-term surgery (3-7 days) (P＞0.05). However, patients who received late-term surgery (>7 days) had a higher mortality risk (P＜0.05). The overall 8-year mortality risk of patients who needed ventilator support was much higher than those who did not need ventilator support (P＜0.05).
RESULTS CONCLUSIONS: Age, neurologic level, ventilator dependence, treatment options, and timing to surgery were main risk factors for mortality in patients with severe cervical spinal cord injuries. Better understanding of the predictors for survival could possibly contribute to the improvement of survival rates.
Copyright © 2019. Published by Elsevier Inc.
Language: en |