The DOI matches its Crossref record.
Risk Factors for Infection After Spinal Surgery
Abstract
STUDY DESIGN: A retrospective case control analysis of 48 cases of postoperative infection following spinal procedures. OBJECTIVES: Spinal procedures that became infected after surgery were analyzed to identify the significance of preoperative and intraoperative risk factors. Characterization of the nature and timing of the infections was also performed. SUMMARY OF BACKGROUND DATA: The rate of postoperative infection following spinal surgery varies widely depending on the nature of the procedure and the patient's diagnosis. Preoperative comorbidities and risk factors also influence the likelihood of infection. METHODS: A review of 1629 procedures performed on 1095 patients revealed that a postoperative infection developed in 48 patients (4.4%). Data regarding preoperative and intraoperative risk factors were gathered from patient charts for these and a randomly selected control group of 95 uninfected patients. For analysis, these patient groups were further divided into adult and pediatric subgroups, with an age cutoff of 18 years. Preoperative risk factors reviewed included smoking, diabetes, previous surgery, previous infection, steroid use, body mass index, and alcohol abuse. Intraoperative factors reviewed included staging of procedures, estimated blood loss, operating time, and use of allograft or instrumentation. RESULTS: The majority of infections occurred during the early postoperative period (less than 3 months). Age >60 years, smoking, diabetes, previous surgical infection, increased body mass index, and alcohol abuse were statistically significant preoperative risk factors. The most likely procedure to be complicated by an infection was a combined anterior/posterior spinal fusion performed in a staged manner under separate anesthesia. Infections were primarily monomicrobial, although 5 patients had more than 4 organisms identified. The most common organism cultured from the wounds was Staphylococcus aureus. All patients were treated with surgical irrigation and débridement, and appropriate antibiotics to treat the cultured organism. CONCLUSIONS: Aggressive treatment of patients undergoing complex or prolonged spinal procedures is essential to prevent and treat infections. Understanding a patient's preoperative risk factors may help the physician to optimize a patient's preoperative condition. Additionally, awareness of critical intraoperative parameters will help to optimize surgical treatment. It may be appropriate to increase the duration of prophylactic antibiotics or implement other measures to decrease the incidence of infection for high risk patients.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
Sørensen, L. T. (2012) · Archives of Surgery · doi:10.1001/archsurg.2012.5 · Cited by 645
Preoperative Smoking Status and Postoperative Complications: A Systematic Review and Meta-analysis
Grønkjær, M., Eliasen, M., Skov-Ettrup, L. S., Tolstrup, J. S., Christiansen, A. H., Mikkelsen, S. S., Becker, U., & Flensborg-Madsen, T. (2014) · Annals of Surgery · doi:10.1097/sla.0b013e3182911913 · Cited by 386
Veeravagu, A., Patil, C. G., Lad, S. P., & Boakye, M. (2009) · Spine · doi:10.1097/brs.0b013e3181adc989 · Cited by 270
Implant Healing in Experimental Animal Models of Diabetes
Le, N. N., Rose, M. B., Levinson, H., & Klitzman, B. (2011) · Journal of Diabetes Science and Technology · doi:10.1177/193229681100500315 · Cited by 52
Metadata
- Authors
- Fang, A., Hu, S. S., Endres, N., & Bradford, D. S.
- Venue
- Spine
- Published
- 2005-06
- Volume
- 30
- Issue
- 12
- Pages
- 1460-1465
- ISSN
- 0362-2436 (ISSN-L)
- OpenAlex
- W2053992139
- Cited by
- 572
- References
- 0
- FWCI
- 8.53
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Risk Factors for Infection After Spinal Surgery. https://app.cochat.ai/papers/10.1097/01.brs.0000166532.58227.4f
- The paper
- Fang, A., Hu, S. S., Endres, N., & Bradford, D. S. (2005). Risk Factors for Infection After Spinal Surgery. Spine. https://doi.org/10.1097/01.brs.0000166532.58227.4f
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
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.