Abstract:
OBJECTIVE To construct a differential diagnostic model for pyogenic spinal infection (PSI) and non-pyogenic spinal infection (NPSI) based on C-reactive protein, erythrocyte sedimentation rate, and blood routine indicators.
METHODS Totally 158 suspected spinal infection patients admitted to Xiangya and Xiangya Boai Hospital from Jan. 2019 to Sep. 2022 were collected as the study subjects, and they were divided into a PSI group (87 cases) and a non PSI group (71 cases) according to pathological identification results. Clinical data of the two groups were analyzed, and the differences in various indicators between the two groups were compared. C-reactive protein, erythrocyte sedimentation rate, and disease course were screened to develop a diagnostic model, receiver operating characteristic (ROC) curves were plotted to evaluated the diagnostic value of the model.
RESULTS There were statistically significant differences in C-reactive protein, erythrocyte sedimentation rate, white blood cell count, red blood cell count, hemoglobin, neutrophils, neutrophil percentage, monocyte percentage, and disease course between the two groups (P＜0.05); Through logistic regression, the three indicators of red blood cell sedimentation rate, white blood cell count, and disease course were screened to establish a joint diagnostic model, which had an area under the ROC curve (AUC) of 0.802, a sensitivity of 0.678, and a specificity of 0.845.
CONCLUSION The joint diagnostic model established by red blood cell sedimentation rate, white blood cell count, and disease course can assist in differentiating pyogenic and non-pyogenic spinal infections, which can better guide the clinic and improve the prognosis of patients with timely and targeted treatment.
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