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Updated: May 30, 2025

Diagnosis and Surgical Treatment of Human Brucellar Spondylodiscitis
Published on: May 23, 2021
Establishment of Scoring to Predict Severe Complication After Pyogenic Spondylodiscitis Surgery
Yuichiro Ukon1, Shota Takenaka2, Hiromasa Hirai1
1Department of Orthopaedic Surgery, Osaka University Graduate School of Medicine.
Study Design:
Retrospective cohort study using prospective database.
Objective:
This study aimed to establish a risk-scoring system for predicting severe complications after pyogenic spondylodiscitis surgery.
Summary Of Background Data:
Pyogenic spondylodiscitis surgery can cause severe complications.
Methods:
Grades III, IV, and V complications in the CD classification were defined as severe complications. A predictive scoring system for severe complications was developed using 7 risk factors identified from a cohort of 143 PS surgery patients from January 2013 to December 2017 described in a previous study. External validation used a separate cohort of 70 patients from 9 institutions identified from January 2018 to December 2021.
Results:
This first study proposed a risk predictive scoring system for severe complications [updated Charlson comorbidity index (≥3), 2; chronic pulmonary disease, 3; diabetes, 1; Gram-negative bacteria, 3; pyogenic osteoarthritis, 3; preoperative white blood count (≥1.0×10 4 /μL), 2; preoperative platelet count (≤2.4×10 5 /μL), 2]. The scoring system could well predict severe complications [area under the receiver operating curve (AUROC) value of 0.851]. There was classification into 3 risk groups: low-moderate risk (≤4), high risk (5 or 6), and very high risk (≥7), further simplified by the scoring system. Complication rates were 5.2% (low-moderate), 40.1% (high), and 84.2% (very high). In addition, external validation showed a very good AUROC value of 0.820.
Conclusions:
We developed a simple, externally validated scoring system for predicting severe complications after pyogenic spondylodiscitis surgery that will be helpful for clinicians involved in informed consent and intensive care unit management of high-risk patients.
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