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Profiling of kidney involvement in systemic lupus erythematosus by deep learning using the National Database of Designated Incurable Diseases of Japan

BACKGROUND: Kidney 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. METHODS: We...

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Autores principales: Kimura, Tomonori, Ikeuchi, Hidekazu, Yoshino, Mitsuaki, Sakate, Ryuichi, Maruyama, Shoichi, Narita, Ichiei, Hiromura, Keiju
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Nature Singapore 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10191896/
https://www.ncbi.nlm.nih.gov/pubmed/36929044
http://dx.doi.org/10.1007/s10157-023-02337-x
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author Kimura, Tomonori
Ikeuchi, Hidekazu
Yoshino, Mitsuaki
Sakate, Ryuichi
Maruyama, Shoichi
Narita, Ichiei
Hiromura, Keiju
author_facet Kimura, Tomonori
Ikeuchi, Hidekazu
Yoshino, Mitsuaki
Sakate, Ryuichi
Maruyama, Shoichi
Narita, Ichiei
Hiromura, Keiju
author_sort Kimura, Tomonori
collection PubMed
description BACKGROUND: Kidney 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. METHODS: We 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. RESULTS: Data 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. CONCLUSION: Although 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. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s10157-023-02337-x.
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spelling pubmed-101918962023-05-19 Profiling of kidney involvement in systemic lupus erythematosus by deep learning using the National Database of Designated Incurable Diseases of Japan Kimura, Tomonori Ikeuchi, Hidekazu Yoshino, Mitsuaki Sakate, Ryuichi Maruyama, Shoichi Narita, Ichiei Hiromura, Keiju Clin Exp Nephrol Original Article BACKGROUND: Kidney 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. METHODS: We 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. RESULTS: Data 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. CONCLUSION: Although 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. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s10157-023-02337-x. Springer Nature Singapore 2023-03-16 2023 /pmc/articles/PMC10191896/ /pubmed/36929044 http://dx.doi.org/10.1007/s10157-023-02337-x Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Original Article
Kimura, Tomonori
Ikeuchi, Hidekazu
Yoshino, Mitsuaki
Sakate, Ryuichi
Maruyama, Shoichi
Narita, Ichiei
Hiromura, Keiju
Profiling of kidney involvement in systemic lupus erythematosus by deep learning using the National Database of Designated Incurable Diseases of Japan
title Profiling of kidney involvement in systemic lupus erythematosus by deep learning using the National Database of Designated Incurable Diseases of Japan
title_full Profiling of kidney involvement in systemic lupus erythematosus by deep learning using the National Database of Designated Incurable Diseases of Japan
title_fullStr Profiling of kidney involvement in systemic lupus erythematosus by deep learning using the National Database of Designated Incurable Diseases of Japan
title_full_unstemmed Profiling of kidney involvement in systemic lupus erythematosus by deep learning using the National Database of Designated Incurable Diseases of Japan
title_short Profiling of kidney involvement in systemic lupus erythematosus by deep learning using the National Database of Designated Incurable Diseases of Japan
title_sort profiling of kidney involvement in systemic lupus erythematosus by deep learning using the national database of designated incurable diseases of japan
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10191896/
https://www.ncbi.nlm.nih.gov/pubmed/36929044
http://dx.doi.org/10.1007/s10157-023-02337-x
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