Skip to content

Mastocytosis From Pediatric Age to Adulthood: Local Registry of Cutaneous and Systemic Mastocytosis

Mastocytosis From Pediatric Age to Adulthood: Local Registry of Cutaneous and Systemic Mastocytosis

Status
Recruiting
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT07142473
Acronym
MaRe
Enrollment
600
Registered
2025-08-26
Start date
2024-01-26
Completion date
2034-01-26
Last updated
2025-08-26

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Cutaneous Mastocytosis, Systemic Mastocytosis

Brief summary

Given the renewed focus on mastocytosis (recognized in Italy as a rare disease since 2018) and emerging clinical and immunogenetic knowledge, and considering the rarity of the disease and limited understanding of its progression, this observational study aims to analyze epidemiological, clinical, genetic, immunohistochemical, and laboratory characteristics of patients with mastocytosis. This will help expand knowledge about the disease and identify prognostic variables useful in developing a personalized therapeutic approach. This registry aims to collect retrospective and prospective data on patients with cutaneous and systemic mastocytosis attending the Dermatology Unit at the IRCCS Fondazione Policlinico San Matteo. This is a single-center longitudinal hospital registry including patients with cutaneous and systemic mastocytosis, collected retrospectively and prospectively to assess the clinical, serological, hematological, and molecular characteristics of patients with cutaneous and systemic mastocytosis and their correlation with specific outcomes such as disease variant (cutaneous or systemic), extent of skin involvement, and survival rate.

Interventions

None listed

Sponsors

Fondazione IRCCS Policlinico San Matteo di Pavia
Lead SponsorOTHER

Study design

Observational model
CASE_ONLY
Time perspective
PROSPECTIVE

Eligibility

Sex/Gender
ALL
Age
6 Years to No maximum
Healthy volunteers
No

Inclusion criteria

\- Cutaneous or systemic mastocytosis diagnosys attending the Dermatology Outpatient Clinics of the UOC Dermatology Unit Fondazione IRCCS Policlinico San Matteo

Design outcomes

Primary

MeasureTime frameDescription
Prevalence of the systemic disease variant in the examined populationJanuary 2034The prevalence and the 95% exact binomial confidence interval will be presented

Secondary

MeasureTime frameDescription
Association between clinical, serological, hematological, and molecular characteristics and the disease variant (cutaneous or systemic)January 2034The association will be evaluated using a multivariate logistic model; the number of covariates will be limited by the number of systemic mastocytosis cases, maintaining a 1:10 ratio. The selection of covariates will be made a priori based on scientific knowledge. Odds ratios (OR) and their corresponding 95% confidence intervals (CI) will be reported. The model's discriminatory ability (area under the ROC curve) and its calibration (graphically) will be calculated
Association between family history and age of disease onsetJanuary 2034The analysis will be performed using a multivariate logistic model
Survival rate in relation to the disease variant (cutaneous or systemic)January 2034The survival rate will be reported as deaths per 100 person-years; the start date for follow-up will be the diagnosis of the disease. The groups will be compared using the log-rank test, and survival will be described using Kaplan-Meier curves. A Cox model will be used to derive the hazard ratio (HR) and the corresponding 95% confidence interval (CI). Harrell's C-statistic will be calculated to assess the model's discriminatory ability. Estimates will be adjusted, where possible, for potential confounding factors
Association between c-KIT mutation in blood and clinical characteristics of the patientJanuary 2034The analysis will be performed using a multivariate logistic model
Evaluation of dermatoscopic characteristics in relation to the clinical presentation of the disease and the patient's ageJanuary 2034The analysis will be performed using a multivariate logistic model. For the purposes of the analysis, age will be dichotomized at the median. Linear regression models may also be used

Countries

Italy

Contacts

Primary ContactValeria Brazzelli, MD
v.brazzelli@smatteo.pv.it03820503794

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026