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Clinical subgroup clustering analysis in a systemic lupus erythematosus cohort from Western Pennsylvania
OBJECTIVE: Systemic lupus erythematosus (SLE) is a complex heterogenous autoimmune disease that can affect multiple organs. We performed clinical clustering analysis to describe a lupus cohort from the University of Pittsburgh Medical Center. METHODS: A total of 724 patients who met the American Col...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Medical Research and Education Association
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10089140/ https://www.ncbi.nlm.nih.gov/pubmed/34554910 http://dx.doi.org/10.5152/eurjrheum.2020.21225 |
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author | Coit, Patrick Ruffalo, Lacy Sawalha, Amr H. |
author_facet | Coit, Patrick Ruffalo, Lacy Sawalha, Amr H. |
author_sort | Coit, Patrick |
collection | PubMed |
description | OBJECTIVE: Systemic lupus erythematosus (SLE) is a complex heterogenous autoimmune disease that can affect multiple organs. We performed clinical clustering analysis to describe a lupus cohort from the University of Pittsburgh Medical Center. METHODS: A total of 724 patients who met the American College of Rheumatology (ACR) classification criteria for SLE were included in this study. Clustering was performed using the ACR classification criteria and the partitioning around medoid method. Correlation analysis was performed using the Spearman's Rho test. Results: Patients with SLE in our cohort identify three district clinical disease subsets. Patients in cluster 1 were significantly more likely to develop renal and hematologic involvement, and had overrepresentation in African–American and male lupus patients. Clusters 2 and 3 identified a milder disease, with a significantly less likelihood of organ complications. Patients in cluster 2 are characterized by malar rash and photosensitivity, while patients in cluster 3 are characterized by oral ulcers, which is present in ∼90% of patients within this cluster. The presence of photosensitivity or oral ulcers appears to be protective against the development of lupus nephritis in our cohort. Conclusion: We describe a large cohort of SLE from Western Pennsylvania and identify three distinct clinical disease subgroups. Clustering analysis might help to better manage and predict disease complications in heterogenous diseases like lupus. |
format | Online Article Text |
id | pubmed-10089140 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Medical Research and Education Association |
record_format | MEDLINE/PubMed |
spelling | pubmed-100891402023-04-12 Clinical subgroup clustering analysis in a systemic lupus erythematosus cohort from Western Pennsylvania Coit, Patrick Ruffalo, Lacy Sawalha, Amr H. Eur J Rheumatol Original Article OBJECTIVE: Systemic lupus erythematosus (SLE) is a complex heterogenous autoimmune disease that can affect multiple organs. We performed clinical clustering analysis to describe a lupus cohort from the University of Pittsburgh Medical Center. METHODS: A total of 724 patients who met the American College of Rheumatology (ACR) classification criteria for SLE were included in this study. Clustering was performed using the ACR classification criteria and the partitioning around medoid method. Correlation analysis was performed using the Spearman's Rho test. Results: Patients with SLE in our cohort identify three district clinical disease subsets. Patients in cluster 1 were significantly more likely to develop renal and hematologic involvement, and had overrepresentation in African–American and male lupus patients. Clusters 2 and 3 identified a milder disease, with a significantly less likelihood of organ complications. Patients in cluster 2 are characterized by malar rash and photosensitivity, while patients in cluster 3 are characterized by oral ulcers, which is present in ∼90% of patients within this cluster. The presence of photosensitivity or oral ulcers appears to be protective against the development of lupus nephritis in our cohort. Conclusion: We describe a large cohort of SLE from Western Pennsylvania and identify three distinct clinical disease subgroups. Clustering analysis might help to better manage and predict disease complications in heterogenous diseases like lupus. Medical Research and Education Association 2022-02-08 /pmc/articles/PMC10089140/ /pubmed/34554910 http://dx.doi.org/10.5152/eurjrheum.2020.21225 Text en © Copyright by 2022 Medical Research and Education Association https://creativecommons.org/licenses/by-nc/4.0/ Content of this journal is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License. (https://creativecommons.org/licenses/by-nc/4.0/) |
spellingShingle | Original Article Coit, Patrick Ruffalo, Lacy Sawalha, Amr H. Clinical subgroup clustering analysis in a systemic lupus erythematosus cohort from Western Pennsylvania |
title | Clinical subgroup clustering analysis in a systemic lupus erythematosus cohort from Western Pennsylvania |
title_full | Clinical subgroup clustering analysis in a systemic lupus erythematosus cohort from Western Pennsylvania |
title_fullStr | Clinical subgroup clustering analysis in a systemic lupus erythematosus cohort from Western Pennsylvania |
title_full_unstemmed | Clinical subgroup clustering analysis in a systemic lupus erythematosus cohort from Western Pennsylvania |
title_short | Clinical subgroup clustering analysis in a systemic lupus erythematosus cohort from Western Pennsylvania |
title_sort | clinical subgroup clustering analysis in a systemic lupus erythematosus cohort from western pennsylvania |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10089140/ https://www.ncbi.nlm.nih.gov/pubmed/34554910 http://dx.doi.org/10.5152/eurjrheum.2020.21225 |
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