| CTRI Number |
CTRI/2026/02/104559 [Registered on: 23/02/2026] Trial Registered Prospectively |
| Last Modified On: |
20/02/2026 |
| Post Graduate Thesis |
No |
| Type of Trial |
Observational |
|
Type of Study
|
Follow Up Study |
| Study Design |
Single Arm Study |
|
Public Title of Study
|
Study to Detect Inherited High Cholesterol in Young Patients with Early Heart Disease |
|
Scientific Title of Study
|
Establishment of a Screening Program for Familial Hypercholesterolemia along with Comprehensive Assessment of Novel Lipid Biomarkers and Evaluation of a Machine Learning Algorithm in Young Adult Patients Presenting with Premature Coronary Artery Disease to a Tertiary Care Hospital |
| Trial Acronym |
FLASH |
|
Secondary IDs if Any
|
| Secondary ID |
Identifier |
| NIL |
NIL |
|
|
Details of Principal Investigator or overall Trial Coordinator (multi-center study)
|
| Name |
Dr Aditya John Binu |
| Designation |
Associate Professor |
| Affiliation |
Christian Medical College Vellore |
| Address |
Department of Cardiology,
Christian Medical College Vellore,
Ranipet Campus,
Kilminnal PO NIL Vellore TAMIL NADU 632517 India |
| Phone |
9940789083 |
| Fax |
|
| Email |
adityabinu@gmail.com |
|
Details of Contact Person Scientific Query
|
| Name |
Dr Aditya John Binu |
| Designation |
Associate Professor |
| Affiliation |
Christian Medical College Vellore |
| Address |
Department of Cardiology,
Christian Medical College Vellore,
Ranipet Campus,
Kilminnal PO NIL Vellore TAMIL NADU 632517 India |
| Phone |
9940789083 |
| Fax |
|
| Email |
adityabinu@gmail.com |
|
Details of Contact Person Public Query
|
| Name |
Dr Aditya John Binu |
| Designation |
Associate Professor |
| Affiliation |
Christian Medical College Vellore |
| Address |
Department of Cardiology,
Christian Medical College Vellore,
Ranipet Campus,
Kilminnal PO NIL Vellore TAMIL NADU 632517 India |
| Phone |
9940789083 |
| Fax |
|
| Email |
adityabinu@gmail.com |
|
|
Source of Monetary or Material Support
|
| Christian Medical College Vellore |
|
|
Primary Sponsor
|
| Name |
Christian Medical College Vellore |
| Address |
Christian Medical College, Vellore,
Ranipet Campus.
Kilminnal-632517 |
| Type of Sponsor |
Private medical college |
|
|
Details of Secondary Sponsor
|
|
|
Countries of Recruitment
|
India |
|
Sites of Study
|
| No of Sites = 1 |
| Name of Principal
Investigator |
Name of Site |
Site Address |
Phone/Fax/Email |
| Dr Aditya John Binu |
Christian Medical College Vellore |
Department of Cardiology,
CMC Vellore Ranipet Campus,
Ranipet, Kilminnal PO Vellore TAMIL NADU |
9940789083
adityabinu@gmail.com |
|
|
Details of Ethics Committee
|
| No of Ethics Committees= 1 |
| Name of Committee |
Approval Status |
| INSTITUTIONAL REVIEW BOARD (IRB) OFFICE OF RESEARCH CHRISTIAN MEDICAL COLLEGE VELLORE, INDIA |
Approved |
|
|
Regulatory Clearance Status from DCGI
|
|
|
Health Condition / Problems Studied
|
| Health Type |
Condition |
| Patients |
(1) ICD-10 Condition: I219||Acute myocardial infarction, unspecified, (2) ICD-10 Condition: I700||Atherosclerosis of aorta, (3) ICD-10 Condition: I708||Atherosclerosis of other arteries, (4) ICD-10 Condition: I251||Atherosclerotic heart disease of native coronary artery, |
|
|
Intervention / Comparator Agent
|
| Type |
Name |
Details |
| Intervention |
Nil |
Nil |
|
|
Inclusion Criteria
|
| Age From |
18.00 Year(s) |
| Age To |
55.00 Year(s) |
| Gender |
Both |
| Details |
Acute coronary syndromes (STEMI, NSTEMI, unstable angina)
Stable ischemic heart disease
Ischemic cerebrovascular accidents
Peripheral arterial disease
Coronary interventions (PCI or CABG)
Coronary artery calcium score greater than 100 |
|
| ExclusionCriteria |
| Details |
Non atherosclerotic CAD (coronary artery dissection etc.)
Failure to provide consent |
|
|
Method of Generating Random Sequence
|
Not Applicable |
|
Method of Concealment
|
Not Applicable |
|
Blinding/Masking
|
Not Applicable |
|
Primary Outcome
|
| Outcome |
TimePoints |
| Establishment of a Screening Program for Familial Hypercholesterolemia (FH) |
Three years. |
|
|
Secondary Outcome
|
| Outcome |
TimePoints |
| Comprehensive Assessment of Novel Lipid Biomarkers |
Three years. |
Evaluation of a Machine Learning Algorithm in
Young Adult Patients Presenting with Premature Coronary Artery Disease to a Tertiary Care Hospital. |
Three years |
|
|
Target Sample Size
|
Total Sample Size="500" Sample Size from India="500"
Final Enrollment numbers achieved (Total)= "Applicable only for Completed/Terminated trials"
Final Enrollment numbers achieved (India)="Applicable only for Completed/Terminated trials" |
|
Phase of Trial
|
N/A |
|
Date of First Enrollment (India)
|
17/03/2026 |
| Date of Study Completion (India) |
Applicable only for Completed/Terminated trials |
| Date of First Enrollment (Global) |
Date Missing |
| Date of Study Completion (Global) |
Applicable only for Completed/Terminated trials |
|
Estimated Duration of Trial
|
Years="3" Months="0" Days="0" |
|
Recruitment Status of Trial (Global)
|
Not Yet Recruiting |
| Recruitment Status of Trial (India) |
Not Yet Recruiting |
|
Publication Details
|
N/A |
|
Individual Participant Data (IPD) Sharing Statement
|
Will individual participant data (IPD) be shared publicly (including data dictionaries)?
Response - NO
|
|
Brief Summary
|
Familial hypercholesterolemia (FH) is the most common genetic disorder in young adults, predisposing them to develop accelerated premature coronary artery disease (CAD). FH is an autosomal, dominant disorder which follows mendelian inheritance. It is the first genetic disorder of lipid metabolism to be characterized both clinically and molecularly. FH results in elevated serum levels of Low-Density lipoprotein - Cholesterol (LDL-C) and accelerated risk of accelerated CAD in association with cholesterol deposits in peripheral tissues and tendon xanthomas. FH affects around1 in 250–500 individuals globally. The only Indian prevalence study demonstrated a prevalence of 15 percent in patients with premature CAD. There are only 6 genetic studies in India of which 32 percent were LDL-receptor (LDLR) mutations, 4 percent were Apolipoprotein B-100 (ApoB) mutations, 2 percent were PCSK9 mutations and the mutational spectrum for 37 percent were unknown. FH is asymptomatic in the initial stages due to which it is underdiagnosed in routine practice worldwide; hence, the condition is sub-optimally managed. FH can result primarily from gene mutations in either LDLR, ApoB, or PCSK9, singly or in combination. FH exists in two clinical forms. Heterozygous (He) FH is the most common and less severe which affects 1 in 200–250 where LDL-C levels are approximately twice as those of the normal population ranging from 190 to 400 mg per dL (4.9–10.3 mmol per L) . Homozygous (Ho) FH is rare and severe, characterized by high LDL-C levels greater than 500 mg per dL (13 mmol per dL). Early diagnosis of FH coupled with appropriate management is necessary along with family cascade screening to prevent premature deaths.
Therapeutic reduction of LDL-C is one of the cornerstones in the management of CVD.Traditional lipid measurements may explain the major CVD risk in susceptible populations; yet, an unmet need for other novel diagnostic or therapeutic markers to evaluate CAD status and residual risk remains. Emerging lipid biomarkers have been identified, such as PCSK9, lipoprotein (a) [Lp(a)], apoB, apolipoprotein C3 (apoC3), small dense LDL (sdLDL) and large HDL. The associations between these biomarkers and coronary atherosclerosis have not been studied in great detail in south Asian populations.
As we have noted, genetic testing is the gold standard for diagnosing FH. There are currently no population-wide genetic testing programs. As referral for genetic testing is dependent on the clinical suspicion of FH prompted by a premature atherosclerotic cardiovascular event such as an acute coronary syndrome, the integration of ML derived tools in electronic health records may promote earlier suspicion of FH and subsequent genetic testing. ML derived tools have been utilized in registries in other countries which have demonstrated greater sensitivity and a lower number needed to screen for FH as compared to standard clinical diagnostic criteria and the automated screening criteria.
The PI and his team wish to study the prevalence of FH in a cohort which has been previously noted to have a high prevalence of premature CAD as compared to national and global estimates. On the other hand, FH is a condition of which awareness amongst Indian physicians has been found to be low. FH is a condition, which if detected early, can be controlled adequately and result in the prevention of devastating CVD. This study seeks to determine the prevalence of FH and other lipid disorders via genetic screening, machine learning and clinical screening tools in an ASCVD-prone population and modify lipid lowering therapy to prevent future ASCVD. |