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Characterization of Rhythmicity Profiles of Bradykinin-mediated Angioedema Attacks Using a Tracking Smartphone Application.

Rhythmicity Profiles of Bradykinin-mediated Angioedema.

Status
Withdrawn
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT05304091
Acronym
ANGIOAPP
Enrollment
0
Registered
2022-03-31
Start date
2022-08-31
Completion date
2023-08-31
Last updated
2025-12-26

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

Conditions

Bradykinin-mediated Angioedema

Keywords

Bradykinin, Angioedema, Smartphone, Application, Attack, Hereditary angioedema

Brief summary

Bradykinin-mediated angioedema is a rare and disabling disease, characterized by the occurrence of attacks marked by localized swelling of skin, but also of the airways, which can be life-threatening. The unpredictable nature of attacks is a key feature of angioedema, placing patients under constant threat. It seems that there are different patterns of yearly distribution for these attacks, but this is poorly described in the literature. The objectives of the study are to establish different rhythmicity profiles of patients according to the frequency of the attacks; and to identify factors potentially triggering the attacks. For this purpose, patients with bradykinin-mediated angioedema will be monitored daily using a smartphone application. Each day, the application will ask the patient if he or she is having an attack and, if so, the characteristics of the attack and the events preceding it

Interventions

OTHERQuestionnaire on a smartphone application

Each day, the smartphone application will ask the patient if he or she is having an angioedema attack. It not, the questionnaire will stop. If the patient is having an attack, a series of 5 short questions is asked about the attack characteristics and the events that preceded it.

Sponsors

University Hospital, Lille
Lead SponsorOTHER

Study design

Observational model
COHORT
Time perspective
PROSPECTIVE

Eligibility

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

Inclusion criteria

* Diagnosis of bradykinin-mediated angioedema * Age \> 18 * Having a smartphone * Non opposition to answer the questionnaire

Exclusion criteria

* Patients with other type (histaminergic) angioedema * Patient unable or unwilling to use a smartphone application * Opposition to the research * Minor or protected adult * Person deprived of liberty

Design outcomes

Primary

MeasureTime frame
Average number of bradykinin-mediated angioedema attacksFollow up during 1 year

Secondary

MeasureTime frameDescription
The average duration of an attack episodeFollow up during 1 year
The average duration between two attacksFollow up during 1 year
The average number of attack by time of year (months, seasons)Follow up during 1 year
Individual number of crisisAfter a year of follow upDescriptif between patient's characteristics ( age, sex, disease onset and treatments) and Individual attack rhythmicity measures(secondary outcome measures n°2) Coefficients (with 95% intervals and Wald test p-values) and pseudo-R² of a Poisson regression modeling the individual number of crisis based on age, sex, disease onset and treatments.
Type of attack triggering eventsAfter a year of follow upIn the application ,question is : In the 48 hours preceding the onset of the crisis, did you identify one or more of the following events? (several answers possible) Multiple choice can be one or more between Physical activity; Local trauma (blow, injury ...); Dental or surgical procedure; Psychological stress or emotion; Infection; Periods / menstruation; Medication; Other (specify).
Number of stable clusters of patients that may be drawn out of the data based on attack rhythmicity measures and characteristics of these clusters in each and every cluster.After a year of follow upNumber of stable clusters of patients that may be drawn out of the data based on attack rhythmicity measures (based on the number of attacks, the average duration of an attack episode, and the average duration between two attacks) and characteristics of these clusters (mean and standard deviation of rhythmicity measures) in each and every cluster. Stability and information metrics grounding the choice of the number of clusters and their analysis: * Bootstrapped Jaccard stability index of clusters, and its 95% confidence interval * Silhouette value of the clustering * Share of intra-cluster variance

Outcome results

None listed

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