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Development of a risk scoring system for surgical site infection after lumbar surgery using Dixon MRI and clinical parameters

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机构: [1]The Affiliated Hospital of Kunming University of Science and Technology, Department of MRI, the First People’s Hospital of Yunnan Province, Kunming, China [2]Department of Orthopedic Surgery, the Key Laboratory of Digital Orthopaedics of Yunnan Provincial, Yunnan Province Spinal Cord Disease Clinical Medical Center, the First People’s Hospital of Yunnan Province, the Affiliated Hospital of Kunming University of Science and Technology, Kunming, China [3]Department of MRI, the First People’s Hospital of Yunnan Province, the Affiliated Hospital of Kunming University of Science and Technology, Kunming, China
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关键词: Surgical site infection Dixon MRI Paraspinal muscles Risk factors Scoring system

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ObjectiveTo devise a scoring model that integrates clinical parameters and Dixon MRI markers to predict the probability of surgical site infections (SSI) occurrence after lumbar surgery.MethodsA retrospective analysis was conducted on 1307 patients who underwent lumbar surgery, with 63 SSI patients and 1244 non-SSI patients. Clinical characteristics and the quantitative parameters on Dixon MRI, such as fat fraction (FF), functional cross-sectional area (FCSA), and psoas to lumbar vertebral index (PLVI), were assessed for differences between the two groups. A multivariate logistic regression model was applied to identify independent predictors that could be utilized in developing of a scoring system, and the performance was assessed through the receiver operating characteristic (ROC) curve.ResultsThe incidence of SSI was 4.82% (63/1307). The preoperative risk factors for SSI included age (OR 4.442, P = 0.049), duration of surgery (OR 2.872, P = 0.029), multi-segment surgery (OR 3.463, P = 0.021), surgical approach (OR 8.223, P = 0.045), and FCSA (OR 2.152, P = 0.004). When the overall scores of these five predictors were greater than or equal to 3.5 points, the area under the curve (AUC) was 0.823, with sensitivity, specificity, positive predictive value, and negative predictive value of 56.6%, 91.9%, 26.1%, and 97.7%, respectively.ConclusionThe scoring system based on clinical parameters and Dixon MRI indicators is promising for predicting post-lumbar surgery SSI.

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大类 | 3 区 医学
小类 | 2 区 骨科 3 区 临床神经病学
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Q1 ORTHOPEDICS Q2 CLINICAL NEUROLOGY

影响因子: 最新[2023版] 最新五年平均 出版当年[2024版] 出版当年五年平均 出版前一年[2023版]

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第一作者机构: [1]The Affiliated Hospital of Kunming University of Science and Technology, Department of MRI, the First People’s Hospital of Yunnan Province, Kunming, China
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