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Tahiti-families: Polynesian Families of Gout Patients (Tahiti)

Primary Purpose

Gout

Status
Unknown status
Phase
Not Applicable
Locations
French Polynesia
Study Type
Interventional
Intervention
Epidemiological study
Sponsored by
Lille Catholic University
About
Eligibility
Locations
Arms
Outcomes
Full info

About this trial

This is an interventional other trial for Gout focused on measuring Gout, French Polynesia, Epidemiology, Family

Eligibility Criteria

18 Years - 80 Years (Adult, Older Adult)All SexesAccepts Healthy Volunteers

Inclusion Criteria :

Case group :

  • Gout patients
  • Polynesian origin
  • Aged 18 to 80 years
  • Agreeing to participate in the study
  • Having a 1st or 2nd degree relative who is also gouty and a 1st degree relative of the same generation and sex who is not gouty

Control group :

  • Non-gouty individuals who are 1st degree relatives of a gouty patient of the same generation and sex
  • Aged 18 to 80 years
  • Agreeing to participate in the study

Exclusion Criteria :

  • Pregnant women
  • Persons under guardianship, curatorship or other legal incapacity
  • Persons with a contraindication to Magnetic resonance imaging (MRI) examination
  • For non-gouty controls : current hyperuricemic treatment (Allopurinol, Febuxostat, Probenecid or Benzbromarone)
  • For gouty case : not participating in the TOPATA study (NCT04812886)

Sites / Locations

  • Centre Hospitalier de Polynésie Française

Arms of the Study

Arm 1

Arm 2

Arm Type

Experimental

Experimental

Arm Label

Case group : gout patients

Control group

Arm Description

Epidemiological study

Epidemiological study

Outcomes

Primary Outcome Measures

Multiple correlation between genetic variants and clinical presentation
Genome-wide association study (GWAS) aims at identifying genetic variants (genotype) that associated with specific traits (phenotype). The link between the genetic variants and the stage of the disease will be sought using a bivariate analysis: Chi-2 tests or Fisher's exact tests in case of small numbers will be implemented

Secondary Outcome Measures

Multiple correlation between disease stage, comorbidities, environmental and metabolomics data
The link between variants will be stablish using a multivariate logistic regression model.- The comorbidities analysed are the following: initial uraemia, glomerular filtration rate (GFR), hypertension, chronic heart failure, diabetes, obesity (BMI > 30), obliterative arterial disease of the lower limbs, history of myocardial infarction, history of cerebrovascular accident - The environmental data analysed were as follows: habitus data (alcohol consumption, soft drinks, physical activity)
Multiple correlation between severity of gout, its impact (pain, disease impact, and quality of life), presence of certain genetic variants, metabolomic changes and comorbidities
The link between variants will be stablish using a multivariate logistic regression model. Quality of life will be assessed by the EuroQol questionnaire; perception of hyperuricemia-related illness by the Brief Hyperuricemia Perceptions Questionnaire (BIPQ); body and foot pain in the previous week by a VAS out of 100; activity limitations by the Health Assessment Questionnaire (HAQ-II); foot pain and disability by the Manchester Foot Pain and Disability Index (MFPDI).
Multiple correlation between genetic variants, comorbidities, environmental factors, presence of gout
The link between variants will be stablish using a multivariate logistic regression model. Health status will be assessed by the following elements: Perceived health status: good (modalities "very good" and "good") / bad ("average", "bad" and "very bad") Total number of visits to a health professional in the last 12 monthsThe presence of gout will be determined using a calculation combining and weighting different responses to the questionnaires. The diagnosis of gout is retained if the patient meets the 2015 ACR/EULAR criteria for diagnostic classification of gout.

Full Information

First Posted
May 12, 2021
Last Updated
May 19, 2021
Sponsor
Lille Catholic University
Collaborators
Variant Bio, Inc., University of Birmingham, University of San Diego, Ministry of Health, French Polynesia
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1. Study Identification

Unique Protocol Identification Number
NCT04900090
Brief Title
Tahiti-families: Polynesian Families of Gout Patients
Acronym
Tahiti
Official Title
Tahiti-families: From Genetic to Phenotype Study of Polynesian Families of Gout Patients
Study Type
Interventional

2. Study Status

Record Verification Date
May 2021
Overall Recruitment Status
Unknown status
Study Start Date
May 19, 2021 (Anticipated)
Primary Completion Date
August 31, 2021 (Anticipated)
Study Completion Date
August 31, 2021 (Anticipated)

3. Sponsor/Collaborators

Responsible Party, by Official Title
Sponsor
Name of the Sponsor
Lille Catholic University
Collaborators
Variant Bio, Inc., University of Birmingham, University of San Diego, Ministry of Health, French Polynesia

4. Oversight

Studies a U.S. FDA-regulated Drug Product
No
Studies a U.S. FDA-regulated Device Product
No
Data Monitoring Committee
No

5. Study Description

Brief Summary
Gout is a chronic disease caused by the deposit of monosodium urate (MSU) crystals in body tissues secondary to hyperuricemia. Patients with gout suffer severe attacks of acute joint pain. As the disease progresses, the joint pain becomes chronic and associated with disabling and deformative manifestations called tophus. This disease is strongly associated with several comorbidities such as cardiovascular disease and chronic kidney failure. Gout is a very common disease, which is affecting 0.9% of the adult population in France and nearly 4% of the North-American population. Data from New Zealand show a particularly high prevalence of gout among Polynesians (minority populations in New Zealand and other islands of the South Pacific) that would be explained by genetic susceptibility and frequently interrelated metabolic diseases. Data on the Polynesian population in New Caledonia suggest prevalence figures close to 7% and prevalence in French Polynesia is assumed to be higher. International genomic studies of gout and hyperuricaemia have identified alleles associated with the occurrence of gout. The aim is to focus on families with several gouty members (numerous in French Polynesia, and geographically clustered) in order to enable the study of individuals with monogenic gout or with a low number of variants (= cases) determining in the occurrence of gout, as well as a non-gouty family member (= controls). Dual-energy CT scan (DECT) allows identification and quantification of UMS crystal deposits in the tissue. The volume of crystals correlates not only with the inflammatory activity of the disease but also with the comorbidities that complicate it. Dual-energy scanning has shown the presence of UMS crystals in some hyperuricemic individuals, which could help to identify those individuals most at risk of developing the disease as they already have the stigma of sub-clinical inflammatory activity.

6. Conditions and Keywords

Primary Disease or Condition Being Studied in the Trial, or the Focus of the Study
Gout
Keywords
Gout, French Polynesia, Epidemiology, Family

7. Study Design

Primary Purpose
Other
Study Phase
Not Applicable
Interventional Study Model
Parallel Assignment
Masking
None (Open Label)
Allocation
Non-Randomized
Enrollment
120 (Anticipated)

8. Arms, Groups, and Interventions

Arm Title
Case group : gout patients
Arm Type
Experimental
Arm Description
Epidemiological study
Arm Title
Control group
Arm Type
Experimental
Arm Description
Epidemiological study
Intervention Type
Other
Intervention Name(s)
Epidemiological study
Intervention Description
Clinical phenotypic assessment and neurosensory measures Biological, genetic and metabolomic evaluation Questionnaires (quality of life, gout, life habit, comorbidities) Morphological evaluation by Dual-energy CT scan
Primary Outcome Measure Information:
Title
Multiple correlation between genetic variants and clinical presentation
Description
Genome-wide association study (GWAS) aims at identifying genetic variants (genotype) that associated with specific traits (phenotype). The link between the genetic variants and the stage of the disease will be sought using a bivariate analysis: Chi-2 tests or Fisher's exact tests in case of small numbers will be implemented
Time Frame
4 months
Secondary Outcome Measure Information:
Title
Multiple correlation between disease stage, comorbidities, environmental and metabolomics data
Description
The link between variants will be stablish using a multivariate logistic regression model.- The comorbidities analysed are the following: initial uraemia, glomerular filtration rate (GFR), hypertension, chronic heart failure, diabetes, obesity (BMI > 30), obliterative arterial disease of the lower limbs, history of myocardial infarction, history of cerebrovascular accident - The environmental data analysed were as follows: habitus data (alcohol consumption, soft drinks, physical activity)
Time Frame
4 months
Title
Multiple correlation between severity of gout, its impact (pain, disease impact, and quality of life), presence of certain genetic variants, metabolomic changes and comorbidities
Description
The link between variants will be stablish using a multivariate logistic regression model. Quality of life will be assessed by the EuroQol questionnaire; perception of hyperuricemia-related illness by the Brief Hyperuricemia Perceptions Questionnaire (BIPQ); body and foot pain in the previous week by a VAS out of 100; activity limitations by the Health Assessment Questionnaire (HAQ-II); foot pain and disability by the Manchester Foot Pain and Disability Index (MFPDI).
Time Frame
4 months
Title
Multiple correlation between genetic variants, comorbidities, environmental factors, presence of gout
Description
The link between variants will be stablish using a multivariate logistic regression model. Health status will be assessed by the following elements: Perceived health status: good (modalities "very good" and "good") / bad ("average", "bad" and "very bad") Total number of visits to a health professional in the last 12 monthsThe presence of gout will be determined using a calculation combining and weighting different responses to the questionnaires. The diagnosis of gout is retained if the patient meets the 2015 ACR/EULAR criteria for diagnostic classification of gout.
Time Frame
4 months

10. Eligibility

Sex
All
Minimum Age & Unit of Time
18 Years
Maximum Age & Unit of Time
80 Years
Accepts Healthy Volunteers
Accepts Healthy Volunteers
Eligibility Criteria
Inclusion Criteria : Case group : Gout patients Polynesian origin Aged 18 to 80 years Agreeing to participate in the study Having a 1st or 2nd degree relative who is also gouty and a 1st degree relative of the same generation and sex who is not gouty Control group : Non-gouty individuals who are 1st degree relatives of a gouty patient of the same generation and sex Aged 18 to 80 years Agreeing to participate in the study Exclusion Criteria : Pregnant women Persons under guardianship, curatorship or other legal incapacity Persons with a contraindication to Magnetic resonance imaging (MRI) examination For non-gouty controls : current hyperuricemic treatment (Allopurinol, Febuxostat, Probenecid or Benzbromarone) For gouty case : not participating in the TOPATA study (NCT04812886)
Central Contact Person:
First Name & Middle Initial & Last Name or Official Title & Degree
Amélie LANSIAUX, MD PhD
Phone
03 20 22 52 69
Ext
+33
Email
lansiaux.amelie@ghicl.net
First Name & Middle Initial & Last Name or Official Title & Degree
Jean-Jacques VITAGLIANO, PhD
Phone
03 20 22 57 51
Ext
+33
Email
vitagliano.jean-jacques@ghicl.net
Overall Study Officials:
First Name & Middle Initial & Last Name & Degree
Tristan PASCART, MD PhD
Organizational Affiliation
GHICL - Hôpital Saint Philibert
Official's Role
Principal Investigator
Facility Information:
Facility Name
Centre Hospitalier de Polynésie Française
City
Papeete
State/Province
Ville De Pirae
ZIP/Postal Code
98713
Country
French Polynesia
Facility Contact:
First Name & Middle Initial & Last Name & Degree
Tristan PASCART, MD PhD
Phone
03 20 22 50 59
Ext
+33
Email
pascart.tristan@ghicl.net
First Name & Middle Initial & Last Name & Degree
Jean-Jacques VITAGLIANO, PhD
Phone
03 20 22 57 51
Ext
+33
Email
vitagliano.jean-jacques@ghicl.net

12. IPD Sharing Statement

Plan to Share IPD
No

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Tahiti-families: Polynesian Families of Gout Patients

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