ArticleEuropean spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society2025
Development and internal validation of a clinical-radiological nomogram for osteoporosis screening: A cohort retrospective study.
Article in European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
STUDY
designRetrospective cohort study.
objectivesThe goal of this study was to identify the clinical and radiological characteristics of patients with osteoporosis and to develop a practical clinical prediction model for patients for accurately predicting the risk of osteoporosis.
methodsThis study included 954 patients from September 2020 to September 2024 at our hospital. Independent risk factors were selected by the least absolute shrinkage and selection operator method (LASSO) regression. Then, a prediction model (nomogram) was established. Randomly split internal validation cohorts were used to test the nomogram model's calibration, discrimination, and clinical utility.
resultsSix independent prediction factors, age, female, glucocorticoid use, chronic obstructive pulmonary disease (COPD), cut-off values for Hounsfield unit (HU) and vertebral quality (VBQ) scores, were identified, and based on this a nomogram model was developed for predicting patient prognosis. The C-index of the prediction nomogram was 0.86 in training set. The area under the receiver operating characteristic curve (AUC) was 0.87 in both the training and validation sets. The model has good practicability for clinics according to the decision curve analysis (DCA) and clinical impact curve (CIC).
conclusionsThe nomogram model has good predictive performance and clinical practicability, which could provide a certain basis for simplifying osteoporosis diagnosis.
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