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Disease trajectory of SLE clinical endpoints and covariates affecting disease severity and probability of response: Analysis of pooled patient‐level placebo (Standard‐of‐Care) data to enable model‐informed drug development
Systemic lupus erythematosus (SLE) is an autoimmune disease affecting multiple organ systems. Many investigational agents have failed or shown only modest effects when added to standard of care (SoC) therapy in placebo‐controlled trials, and only two therapies have been approved for SLE in the last...
Autores principales: | , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9931431/ https://www.ncbi.nlm.nih.gov/pubmed/36350330 http://dx.doi.org/10.1002/psp4.12888 |
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author | Goteti, Kosalaram French, Jonathan Garcia, Ramon Li, Ying Casset‐Semanaz, Florence Aydemir, Aida Townsend, Robert Mateo, Cristina Vazquez Studham, Matthew Guenther, Oliver Kao, Amy Gastonguay, Marc Girard, Pascal Benincosa, Lisa Venkatakrishnan, Karthik |
author_facet | Goteti, Kosalaram French, Jonathan Garcia, Ramon Li, Ying Casset‐Semanaz, Florence Aydemir, Aida Townsend, Robert Mateo, Cristina Vazquez Studham, Matthew Guenther, Oliver Kao, Amy Gastonguay, Marc Girard, Pascal Benincosa, Lisa Venkatakrishnan, Karthik |
author_sort | Goteti, Kosalaram |
collection | PubMed |
description | Systemic lupus erythematosus (SLE) is an autoimmune disease affecting multiple organ systems. Many investigational agents have failed or shown only modest effects when added to standard of care (SoC) therapy in placebo‐controlled trials, and only two therapies have been approved for SLE in the last 60 years. Clinical trial outcomes have shown discordance in drug effects between clinical endpoints. Herein, we characterized longitudinal disease activity in the SLE population and the sources of variability by developing a latent disease trajectory model for SLE component endpoints (Systemic Lupus Erythematosus Disease Activity Index [SLEDAI], Physician's Global Assessment [PGA], British Isles Lupus Assessment Group Index [BILAG]) and composite endpoints (Systemic Lupus Erythematosus Responder Index [SRI], BILAG‐based Composite Lupus Assessment [BICLA], and Lupus Low Disease Activity State [LLDAS]) using patient‐level historical SoC data from nine phase II and III studies. Across all endpoints, in predictions up to 52 weeks from the final disease trajectory model, the following baseline covariates were associated with a greater decrease in SLE disease activity and higher response to placebo + SoC: Hispanic ethnicity from Central/South America, absence of hypocomplementemia, recent SLE diagnosis, and high baseline disease activity score using SLEDAI and BILAG separately. No discernible differences were observed in the trajectory of response to placebo + SoC across different SoC medications (antimalarial and immunosuppressant such as mycophenolate, methotrexate, and azathioprine). Across all endpoints, disease trajectory showed no difference in Asian versus non‐Asian patients, supporting Asia‐inclusive global SLE drug development. These results describe the first population approach to support a model‐informed drug development framework in SLE. |
format | Online Article Text |
id | pubmed-9931431 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-99314312023-02-16 Disease trajectory of SLE clinical endpoints and covariates affecting disease severity and probability of response: Analysis of pooled patient‐level placebo (Standard‐of‐Care) data to enable model‐informed drug development Goteti, Kosalaram French, Jonathan Garcia, Ramon Li, Ying Casset‐Semanaz, Florence Aydemir, Aida Townsend, Robert Mateo, Cristina Vazquez Studham, Matthew Guenther, Oliver Kao, Amy Gastonguay, Marc Girard, Pascal Benincosa, Lisa Venkatakrishnan, Karthik CPT Pharmacometrics Syst Pharmacol Research Systemic lupus erythematosus (SLE) is an autoimmune disease affecting multiple organ systems. Many investigational agents have failed or shown only modest effects when added to standard of care (SoC) therapy in placebo‐controlled trials, and only two therapies have been approved for SLE in the last 60 years. Clinical trial outcomes have shown discordance in drug effects between clinical endpoints. Herein, we characterized longitudinal disease activity in the SLE population and the sources of variability by developing a latent disease trajectory model for SLE component endpoints (Systemic Lupus Erythematosus Disease Activity Index [SLEDAI], Physician's Global Assessment [PGA], British Isles Lupus Assessment Group Index [BILAG]) and composite endpoints (Systemic Lupus Erythematosus Responder Index [SRI], BILAG‐based Composite Lupus Assessment [BICLA], and Lupus Low Disease Activity State [LLDAS]) using patient‐level historical SoC data from nine phase II and III studies. Across all endpoints, in predictions up to 52 weeks from the final disease trajectory model, the following baseline covariates were associated with a greater decrease in SLE disease activity and higher response to placebo + SoC: Hispanic ethnicity from Central/South America, absence of hypocomplementemia, recent SLE diagnosis, and high baseline disease activity score using SLEDAI and BILAG separately. No discernible differences were observed in the trajectory of response to placebo + SoC across different SoC medications (antimalarial and immunosuppressant such as mycophenolate, methotrexate, and azathioprine). Across all endpoints, disease trajectory showed no difference in Asian versus non‐Asian patients, supporting Asia‐inclusive global SLE drug development. These results describe the first population approach to support a model‐informed drug development framework in SLE. John Wiley and Sons Inc. 2022-11-29 /pmc/articles/PMC9931431/ /pubmed/36350330 http://dx.doi.org/10.1002/psp4.12888 Text en © 2022 EMD Serono Research & Development Institute. CPT: Pharmacometrics & Systems Pharmacology published by Wiley Periodicals LLC on behalf of American Society for Clinical Pharmacology and Therapeutics. https://creativecommons.org/licenses/by-nc/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes. |
spellingShingle | Research Goteti, Kosalaram French, Jonathan Garcia, Ramon Li, Ying Casset‐Semanaz, Florence Aydemir, Aida Townsend, Robert Mateo, Cristina Vazquez Studham, Matthew Guenther, Oliver Kao, Amy Gastonguay, Marc Girard, Pascal Benincosa, Lisa Venkatakrishnan, Karthik Disease trajectory of SLE clinical endpoints and covariates affecting disease severity and probability of response: Analysis of pooled patient‐level placebo (Standard‐of‐Care) data to enable model‐informed drug development |
title | Disease trajectory of SLE clinical endpoints and covariates affecting disease severity and probability of response: Analysis of pooled patient‐level placebo (Standard‐of‐Care) data to enable model‐informed drug development |
title_full | Disease trajectory of SLE clinical endpoints and covariates affecting disease severity and probability of response: Analysis of pooled patient‐level placebo (Standard‐of‐Care) data to enable model‐informed drug development |
title_fullStr | Disease trajectory of SLE clinical endpoints and covariates affecting disease severity and probability of response: Analysis of pooled patient‐level placebo (Standard‐of‐Care) data to enable model‐informed drug development |
title_full_unstemmed | Disease trajectory of SLE clinical endpoints and covariates affecting disease severity and probability of response: Analysis of pooled patient‐level placebo (Standard‐of‐Care) data to enable model‐informed drug development |
title_short | Disease trajectory of SLE clinical endpoints and covariates affecting disease severity and probability of response: Analysis of pooled patient‐level placebo (Standard‐of‐Care) data to enable model‐informed drug development |
title_sort | disease trajectory of sle clinical endpoints and covariates affecting disease severity and probability of response: analysis of pooled patient‐level placebo (standard‐of‐care) data to enable model‐informed drug development |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9931431/ https://www.ncbi.nlm.nih.gov/pubmed/36350330 http://dx.doi.org/10.1002/psp4.12888 |
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