ArticleFrontiers in immunology2024
Risk factors and prediction model for osteonecrosis of the femoral head in female systemic lupus erythematosus.
Article in Frontiers in immunology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 3 of them syntheses that pooled it.
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Who cites it
8 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Meta-analysis of factors for osteonecrosis in systemic lupus erythematosus: integration of comprehensive literatures and multicenter databases.Frontiers in immunology · 2026Pooled it
- Population characteristics, glucocorticoid dosage, and risk factors for osteonecrosis of the femoral head in systemic lupus erythematosus: a Systematic Review and meta-analysis.Frontiers in immunology · 2026Pooled it
- Risk factors of osteonecrosis in patients with systemic lupus erythematosus: a meta-analysis.Frontiers in medicine · 2025Pooled it
- Comprehensive analysis of predictive models for disease manifestations and case fatality in systemic lupus erythematosus.NPJ digital medicine · 2026Review
- Advances in the mechanism for steroid-induced osteonecrosis of the femoral head.Bone research · 2026Review
- Non-femoral head MRI radiomics as a potential imaging biomarker for identifying osteonecrosis of the femoral head in systemic lupus erythematosus patients.Frontiers in medicine · 2026Article
- Update on the correlation between mitochondrial function and osteonecrosis of the femoral head osteocytes.Redox report : communications in free radical research · 2025Review
- Exploring the association between systemic lupus erythematosus and osteonecrosis by Mendelian randomization analysis.Scientific reports · 2025Article
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5 authors.
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Abstract
Background: Osteonecrosis of the femoral head (ONFH) is a severe complication of systemic lupus erythematosus (SLE) and occurs more frequently in SLE patients than in other autoimmune diseases, which can influence patients' life quality. The objective of this research was to analyze risk factors for the occurrence of ONFH in female SLE patients, construct and validate a risk nomogram model. Methods: Clinical records of SLE patients who fulfilled the 1997 American College of Rheumatology SLE classification criteria were retrospectively analyzed. The Least absolute shrinkage and selection operator (LASSO) regression and multivariate logistic regression analysis were used to summarize the independent risk factors of ONFH in female SLE patients, which were used to develop a nomogram. The predictive performance of the nomogram was assessed using the receiver characteristic (ROC) curve, calibration curves and decision curve analysis (DCA). Results: 793 female SLE patients were ultimately included in this study, of which 87 patients (10.9%) developed ONFH. Ten independent risk factors including disease duration, respiratory involvement, menstrual abnormalities, Sjögren's syndrome, osteoporosis, anti-RNP, mycophenolate mofetil, cyclophosphamide, biologics, and the largest daily glucocorticoid (GC) were identified to construct the nomogram. The area under the ROC curve of the nomogram model was 0.826 ( Conclusion: Menstrual abnormalities were the first time reported for the risk factors of ONFH in female SLE patients, which remind that clinicians should pay more attention on female SLE patients with menstrual abnormalities and take early interventions to prevent or slow the progression of ONFH. Besides, the nomogram prediction model could provide an insightful and applicable tool for physicians to predict the risk of ONFH.
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