New predictive model identifies risk factors for lupus nephritis in SLE
Independent risk factors for lupus nephritis (LN) in patients with systemic lupus erythematosus (SLE) include elevated erythrocyte sedimentation rate (ESR), mucosal ulcer, proteinuria, and hematuria, according to a new study.
Based on these risk factors, researchers developed a nomogram prediction model, which showed acceptable predictive ability. This predictive model can be used in clinical settings to aid in early detection and risk assessment for LN in SLE patients, potentially leading to improved patient outcomes and better management of the renal complication.
In this retrospective analysis, data was collected from total of 555 SLE patients. Among them, 303 were diagnosed with LN, while 252 did not exhibit signs of the renal complication.
The findings of this study hold significant clinical implications, as they present a novel predictive tool for identifying SLE patients at risk of developing LN. Early detection of LN can facilitate timely interventions, leading to better patient outcomes and potentially preventing the progression of the renal complication.
Tang Z, Wang JM, Qin JM, et al. Analysis of risk factors and development of a nomogram prediction model for lupus nephritis in systemic lupus erythematosus patients. Lupus. 2023;9612033231189904. doi: 10.1177/09612033231189904. Epub ahead of print. PMID: 37480363.