Spinal Epidural Abscess
Conditions
Brief summary
This is a prospective study involving all patients treated at the University of Kentucky for spinal epidural abscess over a 2-year period. Based on ongoing referrals of patients with SEA, we expect that 200 patients will be enrolled during this time window. We propose to study all available clinical, pathological, radiological, and socioeconomic data of patients diagnosed with a spinal infection with or without a history of drug abuse over this study period. All patients' charts will be prospectively reviewed starting at the time of presentation for a period of 1 year.
Interventions
OTHERProspective chart review of subjects diagnosed with spinal epidural abscess
Collection and assessment of available clinical, pathological, radiological, and socioeconomic data on subjects presenting with spinal epidural abscess. Standard of care treatment and outcomes for each group will be analyzed.
Sponsors
Francis Farhadi
Study design
Observational model
CASE_CONTROL
Time perspective
PROSPECTIVE
Eligibility
Sex/Gender
ALL
Age
18 Years to No maximum
Healthy volunteers
No
Inclusion criteria
* All patient with ICD codes for pyogenic vertebral osteomyelitis, discitis, and spinal epidural abscess will be reviewed for inclusion.
Exclusion criteria
* Patients unwilling or unable to attend follow up appointments.
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Correlation between living situation and infection reoccurrence. | 1 year | Determine the statistical correlation between living situation (owns, rents, or homeless) and infection reoccurrence within 1 year of diagnosis. |
| Correlation between employment status and infection reoccurrence. | 1 year | Determine the statistical correlation between employment status and infection reoccurrence within 1 year of diagnosis. |
| Correlation between income and infection reoccurrence. | 1 year | Determine the statistical correlation between income and infection reoccurrence within 1 year of diagnosis. |
| Correlation between insurer and infection reoccurrence. | 1 year | Determine the statistical correlation between insurer (private, Medicare/Medicade and uninsured) and infection reoccurrence within 1 year of diagnosis. |
Countries
United States
Contacts
CONTACTFrancis Farhadi, MD, PhD
CONTACTHarshit Arora, PhD
PRINCIPAL_INVESTIGATORFrancis Farhadi, MD, PhD
University of Kentucky
Outcome results
None listed