Health Condition 1: E66- Overweight and obesity Health Condition 2: Z68- Body mass index [BMI] Health Condition 3: E08-E13- Diabetes mellitus Health Condition 4: I10- Essential (primary) hypertension Health Condition 5: I15- Secondary hypertension Health Condition 6: I700- Atherosclerosis of aorta Health Condition 7: I73- Other peripheral vascular diseases Health Condition 8: E78- Disorders of lipoprotein metabolism and other lipidemias
Conditions
Interventions
Intervention1: Nil: Nil
Intervention2: Nil: Nil
Intervention3: Nil: Nil
Sponsors
Department of General Medicine
Eligibility
Inclusion criteria
Inclusion criteria: Asymptomatic people with pre-diagnosed/undiagnosed risk factors for CVD Asymptomatic people without any risk factors for CVD Who are above 30 years of age with or without ECG changes, ECHO changes, without typical ACS symptoms or anginal symptoms who are willing to undergo Coronary CT calcium scan for CAC scoring and visit KH.
Exclusion criteria
Exclusion criteria: Coronary artery disease CAD with Coronary-artery bypass grafting RHD CHD Cardiac arrhythmias Malignancy-Lymphoma, Multiple myeloma, bronchogenic carcinoma, Carcinoma breast etc CKD Thyroid and Parathyroid disorders – Hyperparathyroidism, Hypothyroidism, Primary Parathyroidsm Hypervitaminosis D Critically ill patients Morbidly Obese Pregnancy Symptoms of active Coronary disease Stroke
Design outcomes
Primary
| Measure | Time frame |
|---|---|
| •To look for the correlation between the three calculated risk scores (FRS, ASCVD, QRISK3) and the CAC Score in the Study PopulationTimepoint: Cross sectional study, No followup, All data about history, comorbidities, CT scan data, CAG reports if any are collected at same time within the data colection period of the trial (15/11/25 to 31/3/27) | — |
Secondary
| Measure | Time frame |
|---|---|
| Identify discrepancies between risk scores & the actual burden of subclinical atherosclerosis as measured by CAC SCORE.Timepoint: At baseline;Determine which risk score (FRS, ASCVD, or QRISK3) best correlates with CAC SCORE in our populationTimepoint: At baseline;Explore clinical factors that may influence the correlation between risk scores & CAC ScoreTimepoint: At baseline;To compare the risk scores & CAC discrepancies in diabetics & non-diabeticsTimepoint: At baseline;To assess the correlation between number of vessel involvements in CAC CT scan & the major risk factors of CVDTimepoint: At baseline;To assess the correlation between the various risk scores & Coronary Angiography proven atherosclerotic individualsTimepoint: At baseline | — |
Countries
India
Contacts
Public ContactDr Shivashankara K N
Kasturba Hospital, Manipal
Outcome results
None listed