The Alopecia Areata Severity And Morbidity Index (ASAMI) Study

    February 2024 in “ JAMA Dermatology ”
    Anthony Moussa, Michaela Bennett, Dmitri Wall, Nekma Meah, Katherine York, Laita Bokhari, Leila Asfour, Huw Rees, Leonardo Spagnol Abraham, Daniel Asz‐Sigall, F. Buket Basmanav, Wilma F. Bergfeld, Regina C. Betz, Bevin Bhoyrul, Ulrike Blume‐Peytavi, Valerie Callender, Vijaya Chitreddy, Andrea Combalía, George Cotsarelis, Brittany G. Craiglow, Rachita Dhurat, Jeff Donovan, Andrei G. Doroshkevich, Samantha Eisman, Paul Farrant, Juan Ferrando, Aida Gadzhigoroeva, Jack Green, Ramón Grimalt, Matthew Harries, Maria Hordinsky, Alan D. Irvine, Victoria Jolliffe, Spartak Kaiumov, Brett King, Joyce Lee, Won‐Soo Lee, Jane Li, Nino Lortkipanidze, Amy McMichael, Natasha Atanaskova Mesinkovska, Andrew G. Messenger, Paradi Mirmirani, Elise A. Olsen, Seth J. Orlow, Yuliya Ovcharenko, Bianca Maria Piraccini, Rodrigo Pirmez, Adriana Rakowska, Pascal Reygagne, Lidia Rudnicka, David Saceda Corralo, Maryanne M. Senna, Jerry Shapiro, Pooja Sharma, Tatiana Siliuk, Michela Starace, Poonkiat Suchonwanit, Anita Takwale, Antonellá Tosti, Sergio Vañó‐Galván, Willem I. Visser, Annika Vogt, Martin Wade, Leona Yip, Cheng Zhou, Rodney Sinclair, Rodney Sinclair
    TLDR Alopecia areata severity is influenced by factors like long disease duration, relapses, treatment response, and mental health, leading to the creation of a new severity measurement tool.
    The study involved 64 specialists from 6 continents and aimed to identify factors determining alopecia areata (AA) severity beyond scalp hair loss. It found that factors such as disease duration over 12 months, multiple relapses, inadequate treatment response, rapid progression, difficulty concealing hair loss, facial and nail involvement, impaired quality of life, and mental health issues contribute to AA severity. The consensus reached supports the development of a comprehensive severity tool, the Alopecia Areata Severity and Morbidity Index (ASAMI), to better measure disease impact and identify treatment candidates. Future research should include patient perspectives to refine the tool.
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