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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  
Name  Address 
NIL  NIL 
 
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  
Status 
Not Applicable 
 
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.
 
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