Evaluation of Deep Infection of the Surgical Site after Spine Surgery Toshitaka SEKI 1,3 , Teruo KIMURA 1 , Toshihide SUGIMURA 1 , Kazutsune KAWASAKI 1 , Makoto MIYANO 1 , Sin FUKUDA 1 , Masaaki HASHIMOTO 2 1Department of Neurosurgery, Dohtoh Neurosurgical Hospital 2Department of Neurosurgery, Abashiri Neurosurgical Rehabilitation Hospital 3Department of Neurosurgery, Hokkaido University Graduate School of Medicine Keyword: multivariate logistic regression , risk factor , spine , surgery , surgical site infection pp.593-599
Published Date 2013/7/10
DOI https://doi.org/10.11477/mf.1436102032
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 Objective:Surgical site infection(SSI)is commonly seen following spinal surgery, and it can be associated with serious morbidity, mortality, and increased resource utilization. The objective of this study was to identify specific independent risk factors for SSI occurring after spinal surgery.

 Methods:We performed a retrospective study of patients who had spinal surgeries performed from January 2007 to July 2012 at our hospital. 10 patients with deep incisional SSI(dSSI)were identified and compared with 304 uninfected control patients. Risk factors for dSSI were determined with Mann-Whitney's U test, univariate analyses, and multivariate logistic regression.

 Results:The overall rate of dSSI was 3.2%(10 of 314). Mann-Whitney's U test and univariate analyses showed surgery time and duration of postoperative drainage to be significantly higher in patients in whom dSSI developed than in uninfected control patients. Independent risk factors for dSSI that were identified by multivariate analysis were surgery time(odds ratio=9.891, 95% confidence interval=2.434-40.195).

 Conclusion:We identified independent risk factors for dSSI. Surgery time was associated with the highest independent risk of spinal surgical site infection. Duration of postoperative drainage was associated with a significantly increased risk of dSSI in Mann-Whitney's U test and the univariate analysis. However, it did not remain significantly different in multivariate analysis(p value=0.0854, odds ratio=3.227, 95% confidence interval=0.849-12.262).

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