Key points are not available for this paper at this time.
ABSTRACT Background Pyoderma gangrenosum (PG) is a rare neutrophilic dermatosis highly associated with systemic comorbidities. Accurate diagnosis and treatment remain challenging due to its rarity and clinical mimickers. Objectives To evaluate demographic, clinical features and treatment outcomes in patients referred with suspected PG at a tertiary wound care centre. Methods A prospective observational study was conducted of patients referred for suspected PG between April 2021 and June 2023. Demographic, clinical and laboratory data, including biopsies and tissue cultures, were collected. Patients were categorised as having PG vs alternative diagnoses based on diagnostic criteria from Su, Maverakis and the PARACELSUS score. Results Of 60 patients (female, 51.7%; mean SD age 52.9 14.0 years), 44 (73.3%) met at least one published diagnostic criterion for PG. The most common comorbidity was IBD (63.6%), followed by inflammatory arthritis (25.0%) and monoclonal gammopathy of undetermined significance (MGUS) (4.5%). Systemic corticosteroids were used by 40.9% of patients before referral, but steroid‐sparing agents and biologics were the primary treatments after consultation. Biologics and steroid‐sparing agents were associated with significant improvement in disease activity using the PGA score (average score decreased from 2.3 to 1.5, p < 0.005), with 40.9% achieving complete remission. Elevated serum inflammatory markers and faecal calprotectin were observed in PG patients but absent in non‐PG cases. Conclusions These prospective data support previously published rates of association between PG and systemic comorbidities. Steroid‐sparing anti‐neutrophilic and targeted therapies are effective steroid‐sparing strategies in managing PG. Small sample size and referral bias may limit generalisability.
Building similarity graph...
Analyzing shared references across papers
Loading...
David Croitoru
Haleh Zabihi
Cathryn Sibbald
JEADV Clinical Practice
University of Toronto
Hospital for Sick Children
University Health Network
Building similarity graph...
Analyzing shared references across papers
Loading...
Croitoru et al. (Fri,) studied this question.
www.synapsesocial.com/papers/69402fe22d562116f2905031 — DOI: https://doi.org/10.1002/jvc2.70227