Impact of PASI response on work productivity and the effect of risankizumab on indirect costs using machine learning in patients with moderate-to-severe psoriasis.


Journal

The Journal of dermatological treatment
ISSN: 1471-1753
Titre abrégé: J Dermatolog Treat
Pays: England
ID NLM: 8918133

Informations de publication

Date de publication:
Jun 2022
Historique:
pubmed: 27 4 2021
medline: 12 7 2022
entrez: 26 4 2021
Statut: ppublish

Résumé

To compare the impact of Psoriasis Area and Severity Index (PASI) response on total work productivity impairment (TWPI) in patients with moderate-to-severe psoriasis; to compare TWPI and associated indirect costs among patients treated with risankizumab, adalimumab, ustekinumab, and placebo. Data from REVEAL (adalimumab phase III trial) were used to assess differences in trial-observed TWPI across PASI response cohorts. A machine learning model used REVEAL data to predict TWPI for patients in the risankizumab trials. These values were used to estimate work loss hours and work impairment-related indirect costs for each treatment cohort. Among REVEAL patients ( Higher PASI responses were associated with reduced TWPI. Risankizumab was associated with less work impairment/indirect costs

Identifiants

pubmed: 33899655
doi: 10.1080/09546634.2021.1919287
doi:

Substances chimiques

Antibodies, Monoclonal 0
risankizumab 90ZX3Q3FR7
Ustekinumab FU77B4U5Z0
Adalimumab FYS6T7F842

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

2094-2101

Auteurs

Mark Lebwohl (M)

Icahn School of Medicine at Mount Sinai, New York, NY, USA.

Ahmed M Soliman (AM)

AbbVie Inc, North Chicago, IL, USA.

Hongbo Yang (H)

Analysis Group, Inc, Boston, MA, USA.

Jessie Wang (J)

Analysis Group, Inc, Boston, MA, USA.

Jonathan Freimark (J)

Analysis Group, Inc, Boston, MA, USA.

Lluís Puig (L)

Hospital de la Santa Creu i Sant Pau, Universitat Autònoma de Barcelona, Barcelona, Spain.

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Classifications MeSH