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Psoriasis Severity Assessment Combining Physician and Patient Reported Outcomes: The Optimal Psoriasis Assessment Tool
INTRODUCTION: Psoriasis Area Severity Index (PASI) assessment is complex and time-consuming. A simpler assessment measure more sensitive to changes in symptom severity and predictive of patients’ quality of life (Dermatology Life Quality Index, DLQI) is needed. This study aims to evaluate the Optima...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Springer Healthcare
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8322262/ https://www.ncbi.nlm.nih.gov/pubmed/34047947 http://dx.doi.org/10.1007/s13555-021-00544-6 |
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author | Leonardi, Craig See, Kyoungah Gallo, Gaia McKean-Matthews, Missy Zhang, Ying Goldblum, Orin Mallbris, Lotus Burge, Russel |
author_facet | Leonardi, Craig See, Kyoungah Gallo, Gaia McKean-Matthews, Missy Zhang, Ying Goldblum, Orin Mallbris, Lotus Burge, Russel |
author_sort | Leonardi, Craig |
collection | PubMed |
description | INTRODUCTION: Psoriasis Area Severity Index (PASI) assessment is complex and time-consuming. A simpler assessment measure more sensitive to changes in symptom severity and predictive of patients’ quality of life (Dermatology Life Quality Index, DLQI) is needed. This study aims to evaluate the Optimal Psoriasis Assessment Tool (OPAT) as an alternative to PASI. METHODS: This integrated analysis of three UNCOVER trials (NCT01474512, NCT01597245, and NCT01646177) randomized patients (N = 3866) with moderate-to-severe psoriasis to subcutaneously administered ixekizumab 80 mg Q2W or Q4W, or placebo or etanercept 50 mg Q2W. Pearson correlations were computed for clinical and patient-reported measures with PASI and DLQI. RESULTS: As the correlations with PASI and BSA were high and not much higher when adding severity, body surface area (BSA) was used for the clinical measure. BSA was the main measure influencing OPAT. Week 12 regression analyses results showed that PASI had a higher correlation with BSA combined with patient assessments than with BSA alone. Sensitivity analyses were also completed for PASI 75 and 90. For DLQI, correlations with the combined measures were even stronger than with BSA alone. A comprehensive model selection procedure was conducted, which illustrated that the two-term models are preferred. CONCLUSION: The OPAT is a simple and time-saving alternative to PASI. It can be derived using BSA and patient-reported assessments having strong correlation with PASI and moderate correlation with DLQI. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s13555-021-00544-6. |
format | Online Article Text |
id | pubmed-8322262 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Springer Healthcare |
record_format | MEDLINE/PubMed |
spelling | pubmed-83222622021-08-19 Psoriasis Severity Assessment Combining Physician and Patient Reported Outcomes: The Optimal Psoriasis Assessment Tool Leonardi, Craig See, Kyoungah Gallo, Gaia McKean-Matthews, Missy Zhang, Ying Goldblum, Orin Mallbris, Lotus Burge, Russel Dermatol Ther (Heidelb) Original Research INTRODUCTION: Psoriasis Area Severity Index (PASI) assessment is complex and time-consuming. A simpler assessment measure more sensitive to changes in symptom severity and predictive of patients’ quality of life (Dermatology Life Quality Index, DLQI) is needed. This study aims to evaluate the Optimal Psoriasis Assessment Tool (OPAT) as an alternative to PASI. METHODS: This integrated analysis of three UNCOVER trials (NCT01474512, NCT01597245, and NCT01646177) randomized patients (N = 3866) with moderate-to-severe psoriasis to subcutaneously administered ixekizumab 80 mg Q2W or Q4W, or placebo or etanercept 50 mg Q2W. Pearson correlations were computed for clinical and patient-reported measures with PASI and DLQI. RESULTS: As the correlations with PASI and BSA were high and not much higher when adding severity, body surface area (BSA) was used for the clinical measure. BSA was the main measure influencing OPAT. Week 12 regression analyses results showed that PASI had a higher correlation with BSA combined with patient assessments than with BSA alone. Sensitivity analyses were also completed for PASI 75 and 90. For DLQI, correlations with the combined measures were even stronger than with BSA alone. A comprehensive model selection procedure was conducted, which illustrated that the two-term models are preferred. CONCLUSION: The OPAT is a simple and time-saving alternative to PASI. It can be derived using BSA and patient-reported assessments having strong correlation with PASI and moderate correlation with DLQI. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s13555-021-00544-6. Springer Healthcare 2021-05-28 /pmc/articles/PMC8322262/ /pubmed/34047947 http://dx.doi.org/10.1007/s13555-021-00544-6 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by-nc/4.0/Open Access This article is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License, which permits any non-commercial 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-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) . |
spellingShingle | Original Research Leonardi, Craig See, Kyoungah Gallo, Gaia McKean-Matthews, Missy Zhang, Ying Goldblum, Orin Mallbris, Lotus Burge, Russel Psoriasis Severity Assessment Combining Physician and Patient Reported Outcomes: The Optimal Psoriasis Assessment Tool |
title | Psoriasis Severity Assessment Combining Physician and Patient Reported Outcomes: The Optimal Psoriasis Assessment Tool |
title_full | Psoriasis Severity Assessment Combining Physician and Patient Reported Outcomes: The Optimal Psoriasis Assessment Tool |
title_fullStr | Psoriasis Severity Assessment Combining Physician and Patient Reported Outcomes: The Optimal Psoriasis Assessment Tool |
title_full_unstemmed | Psoriasis Severity Assessment Combining Physician and Patient Reported Outcomes: The Optimal Psoriasis Assessment Tool |
title_short | Psoriasis Severity Assessment Combining Physician and Patient Reported Outcomes: The Optimal Psoriasis Assessment Tool |
title_sort | psoriasis severity assessment combining physician and patient reported outcomes: the optimal psoriasis assessment tool |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8322262/ https://www.ncbi.nlm.nih.gov/pubmed/34047947 http://dx.doi.org/10.1007/s13555-021-00544-6 |
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