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In statistics, the term independence means that one can directly obtain the probability of any event involving both variables by multiplying their individual probabilities. Tests of independence are chi-square tests involving the use of a contingency table of observed (data) values.
The test statistic for a test of independence is similar to that of a goodness-of-fit test:
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Related Experiment Video

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A Contusive Model of Unilateral Cervical Spinal Cord Injury Using the Infinite Horizon Impactor
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Univariate and Multivariable Analyses on Independent Predictors for Cervical Spinal Injury in Patients with Head

David Yuen Chung Chan1, Orson Yuzhong He1, Wai Sang Poon1

  • 1Division of Neurosurgery, Department of Surgery, Prince of Wales Hospital, The Chinese University of Hong Kong, New Territories, Hong Kong SAR.

World Neurosurgery
|August 4, 2022
PubMed
Summary

About 11% of head-injured patients sustain cervical spine injuries. Independent risk factors include male gender, thoracic injuries, and low blood pressure upon arrival.

Keywords:
Cervical spinal injuryHead injuryHypotensionSpinal cord injuryThoracic injuryTraumatic brain injury

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Area of Science:

  • Trauma Surgery
  • Neurosurgery
  • Orthopedic Spine Surgery

Background:

  • Cervical spinal injuries are a significant concern in patients with head trauma.
  • Identifying predictors of these injuries is crucial for timely diagnosis and management.
  • The Abbreviated Injury Scale (AIS) is used to classify injury severity.

Purpose of the Study:

  • To identify independent factors associated with cervical spinal injuries in head-injured patients.
  • To determine the prevalence of cervical spine injuries in this population.
  • To analyze predictors for cervical spinal injury in patients with significant head trauma.

Main Methods:

  • Retrospective review of 1105 head-injured patients admitted between January 2014 and December 2016.
  • Inclusion criteria: AIS head injury score ≥2 (intracranial hematoma or skull fracture).
  • Univariate and multivariable analyses were performed to identify independent predictors.

Main Results:

  • 11.2% of identified patients had cervical spinal injuries.
  • Independent predictors for cervical spinal injury were male gender (P=0.006), thoracic injury (P=0.010), and hypotension (systolic blood pressure <90 mm Hg) on admission (P=0.009).

Conclusions:

  • Approximately 1 in 10 patients with significant head injury also have a cervical spine injury.
  • Male gender, thoracic injury, and hypotension are significant independent risk factors for cervical spinal injury in head-injured patients.
  • These findings highlight the importance of evaluating the cervical spine in head-injured patients presenting with these risk factors.