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  4. Delirium Risk Score in Elderly Patients with Cervical Spinal Cord Injury and/or Cervical Fracture

Delirium Risk Score in Elderly Patients with Cervical Spinal Cord Injury and/or Cervical Fracture

J. Clin. Med., 2023 · DOI: 10.3390/jcm12062387 · Published: March 20, 2023

Spinal Cord InjuryCritical CareAging

Simple Explanation

This study focuses on creating a tool to predict delirium in elderly individuals who have experienced cervical spinal cord injuries or fractures. Delirium is a neuropsychological disorder that affects a person's ability to interact with their environment due to cognitive impairment. The tool aims to help medical staff identify high-risk patients early, allowing for preventive measures to be implemented promptly upon admission, regardless of whether the patient receives surgical or conservative treatment. The developed risk score uses easily accessible patient data, such as age, pre-existing conditions, and injury characteristics, to assess the likelihood of developing delirium without needing lengthy patient interviews.

Study Duration
2010 to 2020
Participants
1512 patients aged ≥65 years with cervical SCI and/or cervical fracture
Evidence Level
Not specified

Key Findings

  • 1
    The study identified six key factors that contribute to the risk of delirium: old age (≥80 years), hypoalbuminemia, cervical fracture, major organ injury, dependence on pre-injury mobility, and comorbid diabetes.
  • 2
    A delirium risk score was created by assigning points to each of these factors, and the score's ability to predict delirium was evaluated, resulting in an area under the curve of 0.66 (p < 0.001).
  • 3
    Using a risk score threshold of 2 points, the system showed a sensitivity of 78.4% and a specificity of 45.5% in predicting delirium, suggesting it can effectively identify a large proportion of patients at risk.

Research Summary

This study aimed to develop a risk score for predicting delirium in elderly patients with cervical spinal cord injury (SCI) and/or cervical fracture, using data from a retrospective cohort study of 1512 patients. Multivariate logistic regression identified six significant risk factors: old age (≥80 years), hypoalbuminemia, cervical fracture, major organ injury, dependence on pre-injury mobility, and comorbid diabetes, which were used to create the delirium risk score. The delirium risk score showed promise in predicting delirium, but the authors emphasize the need for validation with an independent dataset before clinical application.

Practical Implications

Early Identification of High-Risk Patients

The risk score allows for early identification of elderly patients with cervical trauma who are at high risk for developing delirium.

Targeted Preventive Measures

Identifying high-risk patients enables targeted implementation of preventive measures to reduce the incidence and severity of delirium.

Improved Resource Allocation

The screening tool helps allocate limited medical resources to patients at the highest risk for delirium, optimizing the use of healthcare resources.

Study Limitations

  • 1
    The diagnosis of delirium was dependent on the criteria of each institution.
  • 2
    The database used in the current study was already established, and all data were collected retrospectively.
  • 3
    The system was not validated in an independent dataset; this constitutes the most considerable limitation of the current study.

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