NCT03253432

Brief Summary

The purpose of this study is to validate the use of the FH Foundation FIND FH® Algorithm as a clinical decision support tool. FIND FH (Flag/Identify/Network/Engage) is a national initiative that utilizes machine learning and data mining techniques to identify individuals whose profiles are consistent with FH patients. The algorithm will be tested in adults with at least one cardiovascular comorbidity. Study subjects will be asked to provide either a saliva, buccal or venous blood sample for DNA and biomarker analysis

Trial Health

87
On Track

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Enrollment
378

participants targeted

Target at P75+ for all trials

Timeline
Completed

Started Jul 2017

Geographic Reach
1 country

2 active sites

Status
completed

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

Click on a node to explore related trials.

Study Timeline

Key milestones and dates

Study Start

First participant enrolled

July 20, 2017

Completed
26 days until next milestone

First Submitted

Initial submission to the registry

August 15, 2017

Completed
2 days until next milestone

First Posted

Study publicly available on registry

August 17, 2017

Completed
1.2 years until next milestone

Primary Completion

Last participant's last visit for primary outcome

November 7, 2018

Completed
Same day until next milestone

Study Completion

Last participant's last visit for all outcomes

November 7, 2018

Completed
Last Updated

February 28, 2019

Status Verified

February 1, 2019

Enrollment Period

1.3 years

First QC Date

August 15, 2017

Last Update Submit

February 27, 2019

Conditions

Outcome Measures

Primary Outcomes (1)

  • Likelihood of having FH-causing mutation

    Proportion of subjects with causative mutation in higher algorithm score groups

    12 months

Study Arms (5)

Strata 0-0.05

Lowest probability of having familial hypercholesterolemia

Other: Genetic testing

Strata 0.06-0.15

Second lowest probability of having familial hypercholesterolemia

Other: Genetic testing

Strata 0.16-0.19

Moderate probability of having familial hypercholesterolemia

Other: Genetic testing

Strata 0.20-0.34

Second highest probability of having familial hypercholesterolemia

Other: Genetic testing

Strata greater than or equal to 35

Highest probability of having familial hypercholesterolemia

Other: Genetic testing

Interventions

Targeted next-generation sequencing for familial hypercholesterolemia causative mutations

Strata 0-0.05Strata 0.06-0.15Strata 0.16-0.19Strata 0.20-0.34Strata greater than or equal to 35

Eligibility Criteria

Age18 Years+
Sexall
Healthy VolunteersYes
Age GroupsAdult (18-64), Older Adult (65+)
Sampling MethodProbability Sample
Study Population

Randomly selected patients from University of Pennsylvania and Lancaster General Hospital with at least 1 cardiovascular comorbidity seen at hospital within the past five years.

You may qualify if:

  • Age 18 years or older
  • At least one cardiovascular co-morbidity or receiving treatment for a cardiovascular comorbidity
  • Algorithm score 0-1
  • Most recent encounter with a provider within five years of query date

You may not qualify if:

  • Any medical or psychological conditions that, in the opinion of the investigator, would compromise the subject's safety or successful participation in the study, or confound study data

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (2)

Lancaster General Hospital

Lancaster, Pennsylvania, 17602, United States

Location

University of Pennsylvania

Philadelphia, Pennsylvania, 19104, United States

Location

Related Publications (1)

  • Qureshi N, Da Silva MLR, Abdul-Hamid H, Weng SF, Kai J, Leonardi-Bee J. Strategies for screening for familial hypercholesterolaemia in primary care and other community settings. Cochrane Database Syst Rev. 2021 Oct 7;10(10):CD012985. doi: 10.1002/14651858.CD012985.pub2.

MeSH Terms

Conditions

Hyperlipoproteinemia Type II

Interventions

Genetic Testing

Condition Hierarchy (Ancestors)

Lipid Metabolism, Inborn ErrorsMetabolism, Inborn ErrorsGenetic Diseases, InbornCongenital, Hereditary, and Neonatal Diseases and AbnormalitiesHyperlipoproteinemiasHyperlipidemiasDyslipidemiasLipid Metabolism DisordersMetabolic DiseasesNutritional and Metabolic Diseases

Intervention Hierarchy (Ancestors)

Clinical Laboratory TechniquesDiagnostic Techniques and ProceduresDiagnosisInvestigative TechniquesGenetic TechniquesGenetic ServicesHealth ServicesHealth Care Facilities Workforce and ServicesDiagnostic ServicesPreventive Health Services

Study Design

Study Type
observational
Observational Model
COHORT
Time Perspective
PROSPECTIVE
Sponsor Type
OTHER
Responsible Party
SPONSOR

Study Record Dates

First Submitted

August 15, 2017

First Posted

August 17, 2017

Study Start

July 20, 2017

Primary Completion

November 7, 2018

Study Completion

November 7, 2018

Last Updated

February 28, 2019

Record last verified: 2019-02

Data Sharing

IPD Sharing
Will share

De-identified data will be shared with other investigators

Shared Documents
STUDY PROTOCOL, ICF, CSR, ANALYTIC CODE
Time Frame
De-identified data will be shared at end of study after database lock
Access Criteria
Research team

Locations