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Cited by 443

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Update of Spinal Epidural Abscess: 35 Cases and Review of the Literature

Danner, R. L., Hartman, B. J.·1987·Clinical Infectious Diseases

Abstract

Thirty-five cases of spinal epidural abscess were evaluated retrospectively and compared with 153 cases reported in the literature. As in other series, Staphylococcus aureus was the major pathogen. Patients with acute abscesses had fever, leukocytosis, and purulence at surgery. Patients with chronic abscesses had less fever and leukocytosis, more granulation tissue at surgery, and a greater delay in diagnosis but retained the potential for rapid neurologic deterioration. In contrast to other studies, abscesses in both the lumbar and anterior spinal compartments and patients with specific sources of infection occurred with greater frequency. Myelography was the diagnostic method of choice. Only four of nine patients had diagnostic computed tomography. Earlier diagnosis and treatment led to a significant improvement in outcome. Both steroid administration and greater neurologic impairment adversely affected outcome. Neurologic improvement following surgery was dependent on the duration of the deficit. A combination of antibiotics and surgical drainage remains the treatment of choice.

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Metadata

Authors
Danner, R. L., & Hartman, B. J.
Venue
Clinical Infectious Diseases
Published
1987-03-01
Volume
9
Issue
2
Pages
265-274
ISSN
  • 1058-4838 (ISSN-L)
  • 1537-6591
OpenAlex
W2135184482
Cited by
443
References
0
FWCI
6.40
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Update of Spinal Epidural Abscess: 35 Cases and Review of the Literature. https://app.cochat.ai/papers/10.1093/clinids/9.2.265
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Danner, R. L., & Hartman, B. J. (1987). Update of Spinal Epidural Abscess: 35 Cases and Review of the Literature. Clinical Infectious Diseases. https://doi.org/10.1093/clinids/9.2.265

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.