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A rare case of aggressive pyogenic spondylitis with giant abscesses after vertebral augmentation.

ABSTRACT: Although Streptococcus constellatus (SC), an opportunistic pathogen, can cause abscesses and empyema. The SC infection after vertebral augmentation (VA) can interfere with patients' daily living activities and can be life-threatening in severe cases. A 67-year-old male complained of lumbar pain for two months. The patient underwent percutaneous vertebroplasty of the second and third lumbar vertebrae two months ago. On admission, laboratory and imaging evidence suggested infection of the second and third lumbar vertebrae with bilateral psoas major and left lumbodorsal abscesses. After three weeks of empirical anti-infective therapy, abscess removal and the second and third lumbar vertebrae fusion with iliac bone graft were performed under general anesthesia. Intraoperative pathology and next-generation sequencing (NGS) examination of the pus suggested SC infection, and oral linezolid was given for 12 weeks after surgery. The infection was eventually cured and the patient achieved satisfactory function. In conclusion, pyogenic spondylitis due to SC infection after VA is a life-threatening complication. In addition to infectious disease consultation and routine etiological screening, NGS is important to identify infection with unknown pathogens. Surgery combined with sensitive antibiotics is appropriate for patients with progressive neurological deficits.

SUBMITTER: Liu L

PROVIDER: S-EPMC10546850 | biostudies-literature | 2023 Sep

REPOSITORIES: biostudies-literature

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A rare case of aggressive pyogenic spondylitis with giant abscesses after vertebral augmentation.

Liu Lin L He Lei L Long Ga G He Min M

Joint diseases and related surgery 20230916 3

Although Streptococcus constellatus (SC), an opportunistic pathogen, can cause abscesses and empyema. The SC infection after vertebral augmentation (VA) can interfere with patients' daily living activities and can be life-threatening in severe cases. A 67-year-old male complained of lumbar pain for two months. The patient underwent percutaneous vertebroplasty of the second and third lumbar vertebrae two months ago. On admission, laboratory and imaging evidence suggested infection of the second a ...[more]

PMID: 37750280

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Project description:The purpose of this study was to describe and compare the clinical data, laboratory examination and imaging examination of tuberculous spondylitis (TS) and pyogenic spondylitis (PS), and to provide ideas for diagnosis and treatment intervention. The patients with TS or PS diagnosed by pathology who first occurred in our hospital from September 2018 to November 2021 were studied retrospectively. The clinical data, laboratory results and imaging findings of the two groups were analyzed and compared. The diagnostic model was constructed by binary logistic regression. In addition, an external validation group was used to verify the effectiveness of the diagnostic model. A total of 112 patients were included, including 65 cases of TS with an average age of 49 ± 15 years, 47 cases of PS with an average of 56 ± 10 years. The PS group had a significantly older age than the TS group (P = 0.005). In laboratory examination, there were significant differences in WBC, neutrophil (N), lymphocyte (L), ESR, CRP, fibrinogen (FIB), serum albumin (A) and sodium (Na). The difference was also statistically significant in the comparison of imaging examinations at epidural abscesses, paravertebral abscesses, spinal cord compression, involvement of cervical, lumbar and thoracic vertebrae. This study constructed a diagnostic model, which was Y (value of TS > 0.5, value of PS < 0.5) = 1.251 * X1 (thoracic vertebrae involved = 1, thoracic vertebrae uninvolved = 0) + 2.021 * X2 (paravertebral abscesses = 1, no paravertebral abscess = 0) + 2.432 * X3 (spinal cord compression = 1, no spinal cord compression = 0) + 0.18 * X4 (value of serum A)-4.209 * X5 (cervical vertebrae involved = 1, cervical vertebrae uninvolved = 0)-0.02 * X6 (value of ESR)-0.806 * X7 (value of FIB)-3.36. Furthermore, the diagnostic model was validated using an external validation group, indicating a certain value in diagnosing TS and PS. This study puts forward a diagnostic model for the diagnosis of TS and PS in spinal infection for the first time, which has potential guiding value in the diagnosis of them and provides a certain reference for clinical work.

Project description:BackgroundPyogenic spondylitis (PS) and Brucella spondylitis (BS) are commonly seen spinal infectious diseases. Both types can lead to vertebral destruction, kyphosis, and long-term neurological deficits if not promptly diagnosed and treated. Therefore, accurately diagnosis is crucial for personalized therapy. Distinguishing between PS and BS in everyday clinical settings is challenging due to the similarity of their clinical symptoms and imaging features. Hence, this study aims to evaluate the effectiveness of a radiomics nomogram using magnetic resonance imaging (MRI) to accurately differentiate between the two types of spondylitis.MethodsClinical and MRI data from 133 patients (2017-2022) with pathologically confirmed PS and BS (68 and 65 patients, respectively) were collected. We have divided patients into training and testing cohorts. In order to develop a clinical diagnostic model, logistic regression was utilized to fit a conventional clinical model (M1). Radiomics features were extracted from sagittal fat-suppressed T2-weighted imaging (FS-T2WI) sequence. The radiomics features were preprocessed, including scaling using Z-score and undergoing univariate analysis to eliminate redundant features. Furthermore, the Least Absolute Shrinkage and Selection Operator (LASSO) was employed to develop a radiomics score (M2). A composite model (M3) was created by combining M1 and M2. Subsequently, calibration and decision curves were generated to evaluate the nomogram's performance in both training and testing groups. The diagnostic performance of each model and the indication was assessed using the receiver operating curve (ROC) with its area under the curve (AUC). Finally, we used the SHapley Additive exPlanations (SHAP) model explanations technique to interpret the model result.ResultsWe have finally selected 9 significant features from sagittal FS-T2WI sequences. In the differential diagnosis of PS and BS, the AUC values of M1, M2, and M3 in the testing set were 0.795, 0.859, and 0.868. The composite model exhibited a high degree of concurrence with the ideal outcomes, as evidenced by the calibration curves. The nomogram's possible clinical application values were indicated by the decision curve analysis. By using SHAP values to represent prediction outcomes, our model's prediction results are more understandable.ConclusionsThe implementation of a nomogram that integrates MRI and clinical data has the potential to significantly enhance the accuracy of discriminating between PS and BS within clinical settings.

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A rare case of aggressive pyogenic spondylitis with giant abscesses after vertebral augmentation.

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A rare case of aggressive pyogenic spondylitis with giant abscesses after vertebral augmentation.

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