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AMIA Annu Symp Proc ; 2022: 221-230, 2022.
Article in English | MEDLINE | ID: mdl-37128416

ABSTRACT

Patients diagnosed with systemic lupus erythematosus (SLE) suffer from a decreased quality of life, an increased risk of medical complications, and an increased risk of death. In particular, approximately 50% of SLE patients progress to develop lupus nephritis, which oftentimes leads to life-threatening end stage renal disease (ESRD) and requires dialysis or kidney transplant1. The challenge is that lupus nephritis is diagnosed via a kidney biopsy, which is typically performed only after noticeable decreased kidney function, leaving little room for proactive or preventative measures. The ability to predict which patients are most likely to develop lupus nephritis has the potential to shift lupus nephritis disease management from reactive to proactive. We present a clinically useful prediction model to predict which patients with newly diagnosed SLE will go on to develop lupus nephritis in the next five years.


Subject(s)
Lupus Erythematosus, Systemic , Lupus Nephritis , Preventive Medicine , Humans , Kidney Failure, Chronic/etiology , Kidney Failure, Chronic/prevention & control , Lupus Erythematosus, Systemic/complications , Lupus Erythematosus, Systemic/diagnosis , Lupus Nephritis/complications , Lupus Nephritis/diagnosis , Lupus Nephritis/prevention & control , Quality of Life , Renal Dialysis , Prognosis , Biopsy , Preventive Medicine/methods , Datasets as Topic , Electronic Health Records , California , Male , Female , Adult , Middle Aged , Cohort Studies , ROC Curve , Reproducibility of Results
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