Age and Other Risk Factors Influencing Long-Term Mortality in Patients With Traumatic Cervical Spine Fracture

Geriatric Orthopaedic Surgery & Rehabilitation, 2018 · DOI: 10.1177/2151459318770882 · Published: March 18, 2018

Simple Explanation

This study looks at factors affecting long-term survival of patients with cervical spine fractures, focusing on age. It analyzes data from a level I trauma center over 10 years. The study found that age, gender, and spinal cord injury significantly influence long-term survival. Older patients and males had a higher risk of mortality. Falls were the most common cause of injury, especially in older patients. The findings suggest more research is needed for cervical spine injuries in older adults.

Study Duration

10 years

Participants

632 patients with cervical spine fractures

Evidence Level

Level III Retrospective Cohort Study

Key Findings

1
Age, gender, and SCI status significantly influenced survival during the study period.
2
Long-term survival decreased significantly for all patients older than age 65.
3
Falls were the leading mechanism of injury for patients older than age 64.

Research Summary

This study analyzed data from 632 patients with cervical spine fractures to identify factors influencing in-hospital and long-term mortality, with a focus on age. The study identified age, gender, and SCI status as significant variables influencing long-term survival among patients with cervical spine fractures. The results suggest that cervical spine injuries in geriatric patients with trauma may warrant additional research.

Practical Implications

Risk Stratification

Age, gender, and SCI status can be used to stratify risk in patients with cervical spine fractures.

Targeted Interventions

Older patients, males, and those with SCI may benefit from targeted interventions to improve long-term survival.

Further Research

Additional research is needed to optimize treatment algorithms and resource allocation for geriatric patients with cervical spine fractures.

Study Limitations

1
Data on comorbidities may be underestimated.
2
Imaging, types of nonsurgical or surgical procedures, or time to surgery were not included in the analysis.
3
Data available for discharge status was limited.

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