Publications by authors named "F Pampaloni"

Introduction: Alopecia areata (AA) is a non-scarring autoimmune disease characterized by patchy hair loss. The aim of this study was to validate a novel trichoscopic scoring tool, the Severity TRichoscopy Index for Alopecia Areata (STRIAA), for rapid assessment of AA severity.

Methods: Anonymized images from 340 patients were scored by two independent raters who analyzed four scalp areas (vertex, occipital, and left and right parietal) for trichoscopic signs: black dots, yellow dots, exclamation mark hairs, broken hairs, and short vellus hairs.

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Introduction: Dupilumab, a monoclonal antibody targeting IL-4 receptor subunit alpha, treats atopic dermatitis (AD) and may impact alopecia areata (AA). AA involves Th1-driven immune activity, and recent studies suggest a role for Th2 pathways. Dupilumab's effects on AA are mixed, with reports of both improvement and worsening.

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Human organoids have been proposed to be powerful tools mimicking the physiopathological processes of the organs of origin. Recently, human pancreatic organoids (hPOs) have gained increasing attention due to potential theragnostic and regenerative medicine applications. However, the cellular components of hPOs have not been defined precisely.

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Background: Alopecia areata is an autoimmune condition characterized by rapid hair loss in the scalp, eyebrows and eyelashes, for which treatments are limited. Baricitinib, an oral inhibitor of Janus kinases 1 and 2, has been recently approved to treat alopecia areata.

Materials And Methods: We conducted a retrospective study involving 23 medical centres across Italy, enrolling patients affected by severe alopecia areata (SALT >50), for more than 6 months.

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Objective: The prevalence of anxiety and depression in patients diagnosed with Alopecia Areata (AA) is very high and this significant burden of psychological symptoms threatens the Health-Related Quality of Life (HRQoL) of affected patients. Indeed, AA often does not produce significant physical symptoms, but it nonetheless disrupts many areas of mental health. Clinical assessment of disease severity may not reliably predict patient's HRQoL, nor may it predict the patient's perception of illness.

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