학술논문
Letter to the editor: testing the effectiveness of MyPROSLE in classifying patients with lupus nephritis.
Document Type
Article
Source
Subject
*LUPUS nephritis
*MACHINE learning
*SYSTEMIC lupus erythematosus
*MOLECULAR pathology
*RENAL biopsy
*DECISION making
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Language
ISSN
1467-5463
Abstract
Because of the clinical heterogeneity among patients with systemic lupus erythematosus (SLE), developing molecular profiles that predict clinical features can be useful in creating a personalized approach to treatment. Toro-Domínguez et al. created a web tool to aid in therapeutic decision making for clinicians that predicts clinical features associated with SLE from blood transcriptomic data. Specifically, they present a machine learning model that predicts the presence of proliferative nephritis from blood transcriptomics. Here, we report use of the tool in independent datasets and found that it did not perform sufficiently well to consider replacement of the standard kidney biopsy as a diagnostic procedure. [ABSTRACT FROM AUTHOR]