» Articles » PMID: 22210012

Surgical Site Infection in Spinal Surgery: Description of Surgical and Patient-based Risk Factors for Postoperative Infection Using Administrative Claims Data

Overview
Specialty Orthopedics
Date 2012 Jan 3
PMID 22210012
Citations 54
Authors
Affiliations
Soon will be listed here.
Abstract

Study Design: Retrospective analysis.

Objective: The objective of this study was to investigate the accuracy of using an automated approach to administrative claims data to assess the rate and risk factors for surgical site infection (SSI) in spinal procedures.

Summary Of Background Data: SSI is a major indicator of health care quality. A wide range of SSI rates have been proposed in the literature depending on clinical setting and procedure type.

Methods: All spinal surgeries performed at a university-affiliated tertiary-care center from July 2005 to December 2010 were identified using diagnosis-related group, current procedural terminology, and International Classification of Diseases, Ninth Revision (ICD-9) codes and were validated through chart review. Rates of SSI and associated risk factors were calculated using univariate regression analysis. Odds ratios were calculated through multivariate logistic regression.

Results: A total of 6628 hospital visits were identified. The cumulative incidence of SSI was 2.9%. Procedural risk factors associated with a statistically significant increase in rates of infection were the following: sacral involvement (9.6%), fusions greater than 7 levels (7.8%), fusions greater than 12 levels (10.4%), cases with an osteotomy (6.5%), operative time longer than 5 hours (5.1%), transfusions of red blood cells (5.0%), serum (7.4%), and autologous blood (4.1%). Patient-based risk factors included anemia (4.3%), diabetes mellitus (4.2%), coronary artery disease (4.7%), diagnosis of coagulopathy (7.8%), and bone or connective tissue neoplasm (5.0%).

Conclusion: Used individually, diagnosis-related group, current procedural terminology, and ICD-9 codes cannot completely capture a patient population. Using an algorithm combining all 3 coding systems to generate both inclusion and exclusion criteria, we were able to analyze a specific population of spinal surgery patients within a high-volume medical center. Within that group, risk factors found to increase infection rates were isolated and can serve to focus hospital-wide efforts to decrease surgery-related morbidity and improve patient outcomes.

Citing Articles

First Clinical Evidence About the Use of a New Silver-Coated Titanium Alloy Instrumentation to Counteract Surgical Site Infection at the Spine Level.

Leggi L, Terzi S, Sartori M, Salamanna F, Boriani L, Asunis E J Funct Biomater. 2025; 16(1).

PMID: 39852586 PMC: 11766446. DOI: 10.3390/jfb16010030.


Development and validation of a clinical nomogram prediction model for surgical site infection following lumbar disc herniation surgery.

Qiu H, Liu D, Sun F, Lu C, Dai J, Yang Y Sci Rep. 2024; 14(1):26910.

PMID: 39505902 PMC: 11541750. DOI: 10.1038/s41598-024-76129-y.


Practice preference and evidence analysis on topical use of tobramycin powder in lumbar spine surgery: A Multi-National AO spine survey with systematic review of the literature.

Sotiris V, Muthu S, Gary M, Cho S, Kato S, Lewis S World Neurosurg X. 2024; 24:100397.

PMID: 39391070 PMC: 11466638. DOI: 10.1016/j.wnsx.2024.100397.


Microbiological Profile of Instrumented Spinal Infections: 10-Year Study at a French Spine Center.

Reissier S, Couzigou C, Courseau R, Aubert E, Monnier A, Bonnet E Antibiotics (Basel). 2024; 13(9).

PMID: 39334966 PMC: 11428694. DOI: 10.3390/antibiotics13090791.


Adverse complications of cervical spinal fusion in patients with different types of diabetes mellitus: a retrospective nationwide inpatient sample database cross-sectional study.

Liao Y, Xu L, Xie H, Yang Q, Wang J, Fan L Int J Surg. 2024; 111(1):178-189.

PMID: 39116446 PMC: 11745687. DOI: 10.1097/JS9.0000000000002027.