ArticleClinical and experimental nephrology2023
Profiling of kidney involvement in systemic lupus erythematosus by deep learning using the National Database of Designated Incurable Diseases of Japan.
Article in Clinical and experimental nephrology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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9 citing papers in PubMed, 9 citations in OpenAlex.
- Characteristics of newly diagnosed systemic lupus erythematosus patients with or without kidney involvement: analysis of the National Database of Designated Intractable Diseases of Japan.Clinical and experimental nephrology · 2026Article
- Initial treatment patterns of primary membranoproliferative glomerulonephritis in Japan (2017-2021): an updated analysis based on nationwide personal clinical records.Clinical and experimental nephrology · 2026Article
- Latent Profile Analysis of Symptom Severity in Systemic Lupus Erythematosus (SLE) Patients: A Cross-Sectional Study.Nursing research and practice · 2026Article
- Deep learning model for diagnosing lupus erythematosus in cardiac patients using ECG and audio spectrograms.Scientific reports · 2025Article
- Status of initial treatment for rapidly progressive glomerulonephritis in Japan: analysis of a personal clinical records database.Clinical and experimental nephrology · 2025Article
- Comparative analysis of kidney function prediction: traditional statistical methods vs. deep learning techniques.Clinical and experimental nephrology · 2025Article
- Systemic lupus in the era of machine learning medicine.Lupus science & medicine · 2024Review
- Demographics and treatment of patients with primary membranoproliferative glomerulonephritis in Japan using a national registry of clinical personal records.Clinical and experimental nephrology · 2023Article
- Demographics and treatment of patients with primary nephrotic syndrome in Japan using a national registry of clinical personal records.Scientific reports · 2023Article
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Authors and funding
7 authors at 4 institutions in 1 country.
Funding
Abstract
backgroundKidney involvement frequently occurs in systemic lupus erythematosus (SLE), and its clinical manifestations are complicated. We profiled kidney involvement in SLE patients using deep learning based on data from the National Database of Designated Incurable Diseases of Japan.
methodsWe analyzed the cross-sectional data of 1655 patients with SLE whose Personal Clinical Records were newly registered between 2015 and 2017. We trained an artificial neural network using clinical data, and the extracted characteristics were evaluated using an autoencoder. We tested the difference of population proportions to analyze the correlation between the presence or absence of kidney involvement and that of other clinical manifestations.
resultsData of patients with SLE were compressed in a feature space in which the anti-double-stranded deoxyribonucleic acid (anti-dsDNA) antibody titer, antinuclear antibody titer, or white blood cell count contributed significantly to distinguishing patients. Many SLE manifestations were accompanied by kidney involvement, whereas in a subgroup of patients with high anti-dsDNA antibody titers and low antinuclear antibody titers, kidney involvement was positively and negatively correlated with hemolytic anemia and inflammatory manifestations, respectively.
conclusionAlthough there are various combinations of SLE manifestations, our study revealed that some of them are specific to kidney involvement. SLE profiles extracted from the objective analysis will be useful for categorizing SLE manifestations.
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