Contents
Download PDF
pdf Download XML
111 Views
11 Downloads
Share this article
Research Article | Volume 15 Issue 10 (October, 2025) | Pages 386 - 394
Patterns of Familial Dyslipidemia in Coronary Artery Disease Patients with Elevated LDL Cholesterol: Insights from a South Kerala Hospital Cohort
 ,
 ,
 ,
1
Assistant Professor, Department of Cardiology, Government Medical College, Thiruvananthapuram, India
2
Department of Cardiology, Government Medical College, Thiruvananthapuram, India
Under a Creative Commons license
Open Access
Received
Sept. 18, 2025
Revised
Oct. 1, 2025
Accepted
Oct. 12, 2025
Published
Oct. 23, 2025
Abstract

Introduction: Cholesterol levels are determined by both genetic and environmental influences. Familial clustering of dyslipidemia is an important factor in identifying individuals at risk of premature coronary artery disease. Objective: To evaluate the familial clustering of dyslipidemia by screening first-degree relatives of patients with markedly elevated LDL cholesterol (≥190 mg/dL) and compare their lipid profiles with those of the general population. Methods: A hospital-based cross-sectional study was conducted over one year. Patients aged 18–80 years with LDL cholesterol ≥190 mg/dL who provided informed consent were included. First-degree relatives were screened, and their lipid parameters were compared with population-based controls. Cluster sampling was used for recruitment. Results: A total of 50 index patients were studied (31 males, 62%; 19 females, 38%) with a mean age of 58.4 ± 10.5 years. Their relatives had a mean age of 39.1 ± 10.6 years. Among the relatives, the mean total cholesterol was 215 ± 36.7 mg/dL, and mean LDL cholesterol was 135.5 ± 32.9 mg/dL. Elevated lipid values were observed in 18% of relatives for total cholesterol (≥240 mg/dL), 16% for LDL (≥160 mg/dL), and 10% for LDL (≥190 mg/dL). Compared with normal controls, relatives showed significantly higher mean total cholesterol and LDL cholesterol levels (p < 0.01). The total cholesterol/HDL ratio and the LDL/HDL ratio were also significantly elevated in relatives. Conclusion: Relatives of patients with very high LDL cholesterol demonstrate a higher prevalence of dyslipidemia compared to the general population.Therefore, cascade screening is strongly recommended in the first-degree relatives of patients with markedly elevated LDL cholesterol.

Keywords
INTRODUCTION

Cardiovascular disease (CVD) is the leading cause of death in India, accounting for 28% of mortality.1 Prevalence of CVD in the urban Indian population is between 6.5 to 13.2% and in the rural population between 1.6 to 7.4%. The heavy burden of CVD in Indians is generally considered to be due to increased incidence of metabolic syndrome and an unhealthy lifestyle. Investigations of the genetic causes for this increased trend have been largely unexplored and the contribution of Familial Hypercholesterolemia (FH) is unknown.1

 High cholesterol level, the major modifiable risk factor for heart disease, has both an environmental as well as a genetic component. LDL cholesterol is well established as a key causal factor in the development of coronary heart disease. Although there is wide variability of LDL cholesterol levels within the population, several studies have demonstrated that LDL cholesterol levels in related individuals tend to be similar, indicating that LDL cholesterol levels is a heritable trait.

Hypercholesterolemia (monogenic and multifactorial) affects 1 in 20 subjects in the general population. On the other hand, frequency of FH is 1 in 500 for heterozygotes and 1 in 1 million for homozygotes. FH is characterized by isolated elevation of plasma low-density lipoprotein cholesterol and is associated with high risk of premature cardiovascular disease.  If undiagnosed and untreated, the cumulative risk of CAD by age 60 years is more than 60% among men and 30% among women with heterozygous FH.35

There is an urgent need to screen subjects with premature CAD and their relatives in India for the presence of FH, identify the mutations that lead to high cholesterol, and carry out cascade screening in at-risk relatives. Those harbouring mutations in the above genes can be treated to lower the cholesterol levels, prevent early CVD, and avoid death.

 

AIMS AND OBJECTIVES

Primary Objective:

 To estimate the familial clustering of dyslipidemia in patients with coronary artery disease with markedly elevated LDL cholesterol (LDL C ≥ 190 mg/dL).

 

Secondary Objective:

To compare the lipid profile of relatives with that of normal population.

MATERIALS AND METHODS

STUDY DESIGN AND OVERSIGHT

 

The study was a cross sectional study conducted in Government Medical College, Thiruvananthapuram from April 2017 to April 2018.  Patients with coronary artery disease who have LDL cholesterol more than or equal to 190 mg/dL were selected. Age of the index case was between 18 and 80 years. Patients with secondary causes of dyslipidemia like hypothyroidism, uncontrolled diabetes mellitus, chronic kidney disease, nephrotic syndrome, clinical features of Cushingʹs syndrome and patients on drug therapy like steroids, ART were excluded from the study.

Informed consent was taken from each patient prior to enrolment into the study. Only patients who give consent for the study was inducted into the study protocol. It was a census type study with all cases during a period of one year. The index cases consecutively registered in OP and IP were taken for the study.

Interview method and a semi structured questionnaire was used. Lab investigations were also used to collect data. Baseline data was collected with proforma including age, gender, symptoms and duration, lipid profile, socio-demographic characteristics and associated diseases and risk factors. LDL cholesterol estimation was done using the indirect method. Familial clustering is the proportion of first degree relatives of the index case (those with LDL cholesterol ≥ 190 mg/dl) who have dyslipidemia.

 

STATISTICAL ANALYSIS

Data was collected using proforma and entered into personal computer and analysed using statistical programme, a trial version of Statistics Package for Social Science(SPSS).Quantitative variables were assessed using mean and standard deviation and qualitative variable in proportion. Between group differences of the quantitative variables were evaluated by independent sample test, comparison of quantitative variables among more than two groups were assessed by ANOVA and association of the qualitative variables was analysed by chi- squared test.; Association between quantitative variables was analysed by Pearson correlation. A p-value of<0.05 was considered as the level of significance. Data analysis was performed using SPSS version 17.0.

RESULT

PATIENTS

The study was conducted from April 2017 through April 2018 in a tertiary care government teaching hospital in Kerala after getting informed consent from each patient .Among the study population of 50 patients majority were between 51 years to 70 years (70%).  Maximum age was 74 years and minimum age was 28 years.

Among the study population there were 31 males (62%) and 19 females 8%).In the study population 22% were smokers while 10% were previous smokers who had quit smoking.

Among the study population, inferior wall myocardial infarction (IWMI) was present in 25 (50 %) of the patients, anterior wall myocardial infarction (AWMI) in 18 (36%), lateral wall myocardial infarction (LWMI) in 2 (4%), non ST elevation myocardial infarction (NSTEMI) in 3 (6%), effort angina (EA) in 2(4%) 30% of the study population was diabetic (DM) while 28% of them were hypertensive (HT).History of dyslipidemia (DLP) was present in 28%. History of cerebrovascular accident (CVA) was present in 4% and family history of coronary artery disease (CAD ) was there in 10%.

 

 CHOLESTEROL LEVEL IN PATIENTS SELECTED FOR STUDY

94% (47) of the study patients had total cholesterol (≥240mg/dl) . All the patients had LDL cholesterol level ≥ 190mg/dl. HDL levels≥60mg/dl in 4% (2) and 40-59 mg/dl in 44%(22) . Triglyceride level < 150mg/dl in 58% (29), 150 -199 mg/dl in 22% (11) and ≥200 mg/dl in 20% (10).   The mean and the standard deviations for the same were calculated.

               

                                      TABLE 1: Descriptive statistics for selected variables                     

CHOLESTEROL LEVEL IN RELATIVE OF PATIENTS SELECTED FOR STUDY

 

In the relative of patients, majority were between 31 to 50 years  i.e. 50(42.5%), 16(20%) of them were below 20 years .14 of them (17.5%) were above 50 years.  Among the relatives 67.5% (54) were children. 27.6% (22) were siblings.

 

LIPID PROFILE OF THE RELATIVES

18.8%(15) of the relative of patients had ≥240 mg/dl total cholesterol level while 51.3%(41) had 200-239 mg/dl and 30%(24)had total cholesterol < 200mg/dl.LDL cholesterol levels were less than 130mg/dl in 40%(32), 130-159 mg/dl in 43.8%(35) and ≥ 160mg/dl in 16.3%(13)l. HDL levels ≥60 mg/dl in 6.3%(5), 40-59mg/dl in 70%(56) and < 40mg/dl in 23.8%(19). Triglyceride levels were < 150mg/dl in 95% (76), 150-199mg/dl in 3.8% (3) and ≥200mg/dl in 1.3%(1).

   

TABLE 2: LDL Cholesterol level of relatives

 

TABLE 3: Total cholesterol level of relatives

RELATIONSHIP OF CHOLESTEROL LEVEL IN PATIENTS WITH THEIR RELATIVE

The mean total cholesterol level for patients is 292.2±78.2 and that of the relatives is 215±36.7. The mean LDL level for patients is 222.3±75.4 and that of the relatives is 135.5±32.9. The mean HDL level for patients is 40.8±10.7 and that of the relatives is 46.6±.9.8. The mean tryglyceride level for patients is 149.4±72.2 and that of the relatives is 92.2.±40.3. The mean VLDL level for patients is 29.2±12.2 and that of the relatives is 27.6±8.8. Total cholesterol and LDL levels are significantly elevated in the relatives of patients with very high LDL cholesterol (p <0.01).

 

TABLE 4: Descriptive statistics for total cholesterol in patients with their relative

 

TABLE 5: Descriptive statistics for LDL cholesterol in patients with their relative

 

 

Fig 1: Box plot for LDL in patients with their relative

 

TABLE 6: Correlation of Cholesterol level in patients with their relative

 

FIG 2: Scatter diagram for selected variables

 

COMPARISON OF CHOLESTEROL LEVEL OF RELATIVE OF PATIENTS WITH NORMAL CONTROL

The mean total cholesterol level for relative of patients is 215.3±36.7 and that of the normal control is191.0±36.6. The mean LDL level for relative of patientsis 135.5±32.9 and that of the normal controlis 98.6±29.2. The mean HDL level for relative of patients is 46.6±9.8 and that of the normal control is 50.4±.11.7. The mean triglyceride level for relatives of patients is 99.2±40.3 and that of normal control is 106.0.±36.0 The mean VLDL level for relatives patients is 27.6±8.8 and that of the normal controls is 25.4±10.8. Total cholesterol was ≥240mg/dL in 18% of the relatives. LDL was in ≥160 mg/dL) in 16% of the relatives and in ≥190mg/dL in 10%of the relatives.

 

Total cholesterol and LDL levels are significantly elevated in the relatives of patients with very high LDL cholesterol compared to normal controls (p< 0.01).

 

TABLE 7: Comparison of cholesterol level of relative of patients with normal control

 

Total cholesterol/ HDL ratio and LDL/HDL ratio was significantly elevated in relatives of patients compared with normal controls.

 

TABLE 8: Comparison of cholesterol ratio of relatives of patients with normal control

 

 

DISCUSSION

Coronary artery disease is a growing problem in India and is a leading cause of death in India. Increased cardiovascular risk may be due to emerging risk factors like metabolic syndrome and glucose intolerance, and also due to hypercholesterolemic conditions like familial hypercholesterolemia.5,7,9,10 Familial hypercholesterolemia may produce 10-20 fold increase in coronary artery disease if not treated properly.12,13

 

India is undergoing a rapid epidemiological transition with increasing population, economic prosperity, urbanization and aging with associated risk factor transition. Increase in cardiovascular risk and hypercholesterolemia is also associated with increase in adverse lifestyles such as greater smoking and tobacco use, change in nutritional habits with greater intake of unhealthy diets and increasing sedentary lifestyle. All have contributed to the rising burden of non-communicable diseases, especially CHD. Even in rural areas of India non-communicable and chronic diseases have become the leading causes for death.23-25TheINTERHEART study has reported that apolipoproteins such as high ApoB and low ApoA1 as well as high total and LDL cholesterol are the most important risk factor for CHD globally as well as in South Asian countries.28-32

 

Of plasma-based atherothrombotic risk factors, LDL cholesterol is the best-established risk factor causally linked to incident MI and cardiovascular death. High LDL cholesterol levels consistently predict risk of future cardiovascular events in human populations. Animal studies in multiple species have shown a causal relationship between hypercholesterolemia and atherosclerosis. Abundant evidence provides biologic plausibility for the involvement of LDL in atherogenesis. Furthermore, human mutations that produce hypercholesterolemia on a monogenic basis lead to accelerated atherosclerosis as early as the first decade of life in patients with homozygous familial hypercholesterolemia, while those with heterozygous hypercholesterolemia develop disease approximately 10 to 15 years later. This and other observations have led to the useful office-based concept of a threshold ―cumulative lifetime exposure‖ to LDL cholesterol that, when crossed, results in clinically evident atherosclerosis. Other recently described mutations that affect LDL metabolism, such as those in proprotein convertase subtilisin/kexin type 9 (PCSK9), result in life-long reductions in LDL cholesterol and reduced lifetime risks of events. By contrast, lifetime exposure to moderately elevated levels of LDL cholesterol typically leads to clinical events in the seventh and eighth decades (i.e., 60s and 70s). Finally, interventions in large clinical trials to lower LDL cholesterol levels by various approaches have shown a reduction in cardiovascular events. Thus, LDL cholesterol fulfills the criteria of modified Koch postulates as one causative agent in atherosclerosis.

 Another line of evidence derives from phylogeny. Contemporary humans have much higher total and LDL cholesterol levels than those of many other species of higher organisms that thrive nonetheless. Thus, observational, ecologic, and genetic studies suggest that ever lower LDLC levels are likely to confer cardiovascular benefits regardless of starting cholesterol levels for an individual patient.

 

 Cholesterol levels measured early in life influence long-term cardiovascular risk and the burden of risk factors for atherosclerosis, including hypercholesterolemia, and correlate with autopsy-proven fatty streak and raised lesion formation in the arterial tree. Studies with long-term follow-up have suggested that cholesterol levels in youth correlate with long-term risk of MI. Substantial evidence suggests that the burden of risk for CVD begins in young adulthood. Autopsy studies from the Korea and Vietnam conflicts and recent explorations of coronary anatomy by intravascular ultrasonography all indicate that atherosclerosis affects adolescents in Western society, and that this early exposure to elevated levels of LDL cholesterol leads to premature disease in midlife. Visit-to-visit variability in LDL cholesterol is surprisingly wide, and such fluctuations indeed predict subsequent vascular risk.

         

 Hypercholesterolemia is the most common and treatable cause of heart disease. Genetic factors that lead to hypercholesterolemia have not been fully studied in India. Familial Hypercholesterolemia results from mutations in the LDL receptor, ApoB, PCSK9, and ApoE genes. It is imperative to screen subjects with premature CAD and their relatives in India for the presence of FH, identify the mutations that lead to high cholesterol, and carry out cascade screening in the at-risk relatives. Those harbouring mutations in the above genes can be treated to lower the cholesterol levels, prevent early CVD, and avoid death

In India only limited studies exist on epidemiology of cholesterol and other lipoprotein lipids on large samples in the last 20 years23-25. On review of all the recent large population based epidemiological studies that focused on cardiovascular risk factors including cholesterol levels, there were only six multisite studies with sample size ranging from 2000–15,000.28-33

 Studies that had a large sample size were Indian Industrial Population Surveillance Study (n = 10,442)28 , India Migration Study (n = 1983)29 ,Indian Council of Medical Research (ICMR)Integrated Disease Surveillance Project (urban N= 15223, rural N= 13517, slum/periurban N= 15751)30  ,Indian Women Health Study (n = 4624)31 ,India Heart Watch (n = 6123)32, INDIAB study(n = 2042)33, and a nationwide industry-sponsored Fit Heart Study (n = 46919)34. Prevalence of hypercholesterolemia in these studies varies from 10 to 15% in rural to 25–30% in urban populations. These prevalence rates are much lower than in studies from the US and other developed countries. In NHANES studies prevalence of borderline and high cholesterol (≥200 mg/dl) and corresponding borderline and high LDL cholesterol (≥130 mg/dl) varies from 50 to 70% which is much more than in India. 28-33

In our study, we screened the lipid profile of relatives of patients with markedly elevated LDL cholesterol (≥ 190 mg/dL).The mean total cholesterol level for patients is 292.2 ±78.2 mg/dl and that of the relatives is 215 ±36.7mg/dl. We have also taken the lipid profile of normal population. The mean total cholesterol in the normal control was 191.0±36.6. Total cholesterol was ≥240mg/dL in 18% of the relatives. Total cholesterol levels are significantly elevated in the relatives of patients with very high LDL cholesterol compared to normal controls (p <0.01).

In a study utilizing hospital administrative database of more than 67,000 participants prevalence of various dyslipidemias was reported using a fasting sample. In this cohort of mostly middle class men and women there was a high prevalence of various dyslipidemias. Although the most prevalent dyslipidemia in this group was borderline and high LDL cholesterol(>100 mg/dl), low HDL cholesterol (men 54.9%, women 64.4%) also was highly prevalent.28

Another large study (Fit Heart) has reported prevalence of various cholesterol lipoprotein and triglyceride levels in more than 20 states of India utilizing a camp approach to obtain fasting blood samples and uniform laboratory methodology.34.

This was an industry-sponsored pan-India primary prevention project and used data obtained from lipid evaluation screening camps conducted at 212 locations in urban Indian populations, as part of a primary prevention program conducted during the year 2012. Fasting blood samples from 46,919 subjects aged 18–96 years were obtained. The mean (±1 SD) age was 49.6 ±13.2 years. The pan-India averages (mg/dl) were: total cholesterol 176.7 ± 42.1 mg/dl. There were large inter-state variations in various cholesterol lipoproteins in this study.

 

Fig: 3  Mean total cholesterol levels in larger states of India

 

In our study, the mean LDL level for relative of patients is 135.5±32.9 mg/dl and that of the normal control is 98.6±29.2 mg/dl. LDL was ≥ 160 mg/dL in 16% of the relatives and in ≥190mg/dL in 10% of the relatives. LDL levels are significantly elevated in the relatives of patients with very high LDL cholesterol compared to normal controls (p <0.01).

Familial hypercholesterolemia is an important coronary risk factor. Its prevalence varies from 1:200 to 1:500 in individuals of Caucasian descent among populations in Europe and North America. Familial hypercholesterolemia is common in individuals who had a myocardial infarction at a young age. As many as one in 200 people could have heterozygous familial hypercholesterolemia, and up to one in 300 000 individuals could be homozygous. The phenotypes of heterozygous and homozygous familial hypercholesterolemia overlap considerably; the response to treatment is also heterogeneous.

 The prevalence of suspected familial hypercholesterolemia in India is unknown. To determine prevalence of severe hypercholesterolemia (suspected familial), Rajeev Gupta et al., in their study, evaluated its prevalence in a population-based study and a hospital-based database .33 In the population-based India Heart Watch, urban middle-class participants in 11 cities in different regions of India were evaluated using cluster sampling. Participants (n = 5350,men 2935, women 2415) were evaluated for demographic, biophysical, and fasting biochemical risk factors.33 In the hospital-based study, all consecutive fasting blood lipid tests performed over a seven-year period were analyzed (n = 67347,men 49866, women 17481).36 The age-adjusted prevalence of severe hypercholesterolemia in population vs hospital based studies was total cholesterol 240–269mg/dl in 5.0% vs 5.5%, 270– 309mg/dl in 2.3% vs 1.8% and ≥310mg/dl in 0.3% vs 0.0.5%.Prevalence of severely high LDL cholesterol in population vs hospital based studies was 160–189mg/dl in 3.6% vs 7.4%, 190–220mg/dl in 1.1% vs 1.7% and ≥220mg/dl in 0.3% vs 0.5% .Severe hypercholesterolemia (LDL cholesterol ≥220mg/dl) in population-based study was 1:357 (men 1:326, women 1:402)and in hospital-based subjects was 1:209 (men 1:271, women1:126). These studies show that although there is a low prevalence of mild to moderate hypercholesterolemia in both population- and hospital-based subjects in India, the prevalence of severe hypercholesterolemia is high and is similar to studies from many high-income countries.

 

Fig: 4 Prevalence of severe hypercholesterolemia in population-based and hospital-based cohorts

 

In our study,the mean HDL level for patients is 40.8±10.7 and that of the relatives is 46.6±.9.8. The mean HDL level of the normal control is 50.4±.11.7. The mean triglyceride level for patients is 149.4±72.2. The mean triglyceride level for relatives of patients is 99.2±40.3mg/dl and that of normal control is 106.0.±36.0 mg/dl.

 Fit Heart study has reported prevalence of various cholesterol lipoprotein and triglyceride levels in more than 20 states of India.34 . The pan-India averages (mg/dl) were: total cholesterol 176.7 ± 42.1 mg/dl, LDL cholesterol 110.5 ±34.0 mg/dl, HDL cholesterol 43.2 ±11.7 mg/dl, non-HDL cholesterol 133.5 ±41.3 mg/dl and triglycerides 162.3 ± 106.7 mg/dl. Prevalence of various dyslipidemias was also determined. High total cholesterol ≥200 mg/dl was observed in 26.9% (men 24.0%, women 30.8%), LDL cholesterol ≥100 mg/dl in 60.0% (men 57.6%, women 63.1%), HDL cholesterol≥40/50 mg/dl in men/women in 56.0% (men 49.9%, women 64.5%),non-HDL cholesterol ≥130 mg/dl in 50.8 (men 49.5%, women52.6%) and triglycerides≥ 150 mg/dl in 42.6% (men 45.6%, women38.6%). 

In our study, total cholesterol was ≥240mg/dL in 18% of the relatives. LDL was in ≥ 160 mg/dL) in 16% of the relatives and in ≥190mg/dL in 10% of the relatives.  Total cholesterol , LDL levels and total cholesterol / HDL ratio are significantly elevated in the relatives of patients with very high LDL cholesterol compared to normal controls (p < 0.01).

Special efforts are required to identify individuals with FH in India as they are at high risk of premature coronary heart disease. The condition is seriously underdiagnosed and the diagnosis is often made too late, restricting the benefits of the treatments available. Since this condition is genetically determined, families must become the focus of attention. Cascade testing can identify more individuals with FH who will benefit from early treatment and result in a near-normal life expectancy.

CONCLUSION

Total cholesterol, LDL levels, Total Cholesterol/HDL ratio and LDL/HDL ratio are significantly elevated in the relatives of patients with very high LDL cholesterol compared to normal controls (p <0.01).  Cascade screening is strongly recommended in the first degree relatives of patients with markedly elevated LDL cholesterol. Cascade testing can identify more individuals with FH who will benefit from early treatment and result in a near-normal life expectancy. Primary prevention can be initiated at a young age by identifying high risk individuals. With cascade screening many lives can be saved from premature CAD and early death.

REFERENCES
  1. Registrar General India/Centre for Global Health Research. Causes of death in India: results from the Million Death Study. New Delhi: Registrar General. 2009. World Health Organization, ―The impact of chronic disease in India,‖
  2. WHO Global Database, 2011, http://www.who.int/ chp/chronic disease report.2005.
  3. Wild S, McKeigue P. Cross sectional analysis of mortality by country of birth in England and Wales, 1970-92. BMJ.1997; 314: 705-710.
  4. Hughes LO, Raval U, Raftery EB. First myocardial infarctions in Asian and white men.BMJ.1989; 298: 1345-1350.
  5. Joshi P, Islam S, Pais P, Reddy S, Dorairaj P, Kazmi K, et al. Risk factors for early myocardial infarction in South Asians compared with individuals in other countries. JAMA.2007; 297: 286-294.
  6. Teoh M, Lalondrelle S, Roughton M, Grocott-Mason R, Dubrey SW. Acute coronary syndromes and their presentation in Asian and Caucasian patients in Britain. Heart.2007; 93: 183-188.
  7. McKeigue PM, Ferrie JE, Pierpoint T, Marmot MG. Association of early- onset coronary heart disease in South Asian men with glucose intolerance and hyperinsulinemia. Circulation.1993; 87: 152-161.
  8. Leeder S, Raymond S, Greenberg H, Liu H, Esson K. A race against time: the challenge of cardiovascular disease in developing countries. New York: Columbia University. 2005.
  9. McKeigue PM, Shah B, Marmot MG. Relation of central obesity and insulin resistance with high diabetes prevalence and cardiovascular risk in South Asians. Lancet.1991; 337: 382-386.
  10. King H, Aubert RE, Herman WH. Global burden of diabetes, 1995-2025: prevalence, numerical estimates, and projections. Diabetes Care.1998; 21: 1414-1431.
  11. Goldstein J, Hobbs H, Brown M. Familial hypercholesterolemia. Scriver C, Beaudet A, Sly W, Valle D, editors. In: The metabolic and molecular bases of inherited disease. McGraw-Hill.2001; 2863-2913.
  12. Hopkins PN, Goldberg AC, Toth PP, Ballantyne CM, Rader DJ, National Lipid Association Expert Panel on Familial Hypercholesterolemia, et al. Familial hypercholesterolemias: prevalence, genetics, diagnosis and screening recommendations from the National Lipid Association Expert Panel on Familial Hypercholesterolemia. J ClinLipidol. 2011; 5: S9-17.
  13. Benn M, Watts GF, Tybjaerg-Hansen A, Nordestgaard BG. Familial hypercholesterolemia in the danish general population: prevalence, coronary artery disease, and cholesterol-lowering medication. J ClinEndocrinolMetab.2012; 97: 3956-3964.
  14. Nordestgaard BG, Chapman MJ, Humphries SE, Ginsberg HN, Masana L, Descamps OS, et al. Familial hypercholesterolaemiais underdiagnosed and undertreated in the general population: guidance for clinicians to prevent coronary heart disease: consensus statement of the European Atherosclerosis Society. Eur Heart J. 2013; 34: 3478-3490.
  15. Defesche JC. Defining the challenges of FH screening for familial hypercholesterolemia.J ClinLipidol.2010; 4: 338-341.
  16. Gidding SS, Champagne MA, de Ferranti SD, et al. The agenda forfamilial hypercholesterolemia: a scientifi c statement from theAmerican Heart Association. Circulation 2015; 132: 2167 92.
  17. Benn M, Watts GF, Tybjaerg-Hansen A, Nordestgaard BG. Familial hypercholesterolemia in the Danish general population: prevalence, coronary artery disease, and cholesterol-lowering medication. J ClinEndocrinolMetab2012; 97: 3956–64.
  18. Watts GF, Gidding S, Wierzbicki AS, et al. Integrated guidance on the care of familial hypercholesterolemia from the InternationalFH Foundation. J ClinLipidol2014; 8: 148–72.
  19. Sniderman AD, Tsimikas S, Fazio S. The Severe hypercholesterolemia Phenotype: Clinical Diagnosis, Management, and Emerging Therapies. J Am Coll Cardiol. 2014; 63: 1935-1947.
  20. Lahtinen AM, Havulinna AS, Jula A, Salomaa V, Kontula K. Prevalence and clinical correlates of familial hypercholesterolemiafounder mutations in the general population. Atherosclerosis 2015; 238: 64–69.
  21. Raal FJ, Santos RD. Homozygous familial hypercholesterolemia: current perspectives on diagnosis and treatment. Atherosclerosis 2012;223:262–68.
  22. Sjouke B, Kusters DM, Kindt I, et al. Homozygous autosomal dominant hypercholesterolaemia in the Netherlands: prevalence genotype- phenotype relationship, and clinical outcome. Eur Heart J 2015; 36: 560–65.
  23. Gupta R. Dyslipidaemia and coronary artery disease in the Indian context. In:Dutta AL, ed. Cardiology Update-2001. Cardiological Society of India; 2001:127–139.
  24. Gupta R, Gupta R, Guptha S, Sharma KK, Gupta A, Deedwania PC. Regionalvariations in cardiovascular risk factors in India: india Heart Watch. World JCardiol. 2012;4:112–120.
  25. Maheshwari P, SharmaM, Sharma KK, et al. Equivalence of cholesterol levels at hospital based health-check program with population based studies: acomparative study. J ClinPrevCardiol. 2013;2:1–7.
  26. Raal FJ, Santos RD, Blom DJ, et al. Mipomersen, an apolipoprotein B synthesis inhibitor, for lowering of LDL cholesterol concentrations in patients with homozygous familial hypercholesterolaemia: a randomised, double-blind, placebo-controlled trial. Lancet 2010; 375: 998–1006.
  27. Cuchel M, Meagher EA, du ToitTheron H, et al. Efficacy and safetyof a microsomal triglyceride transfer protein inhibitor in patientswith homozygous familial hypercholesterolaemia: a single-arm,open-label, phase 3 study. Lancet 2013; 381: 40–46.
  28. Reddy KS, Prabhakaran D, Chaturvedi V, et al. behalf of the SentinelSurveillance System for Indian Industrial Populations Study Group:methods for establishing a surveillance system for cardiovascular diseases in Indian industrial populations. Bull WHO. 2006;84:461–469.
  29. Kinra S, Bowen LJ, Lyngdoh T, et al. Sociodemographic patterning of non communicable disease risk factors in rural India: a cross sectional study. BMJ.2010;341:c4974.
  30. Shah B, Mathur P. Surveillance of cardiovascular disease risk factors in India:the need and scope. Indian J Med Res. 010;132:634–642.
  31. Pandey RM, Gupta R, Misra A, et al. Determinants of urban-rural differences in cardiovascular risk factors in middle-aged women in India: a cross-sectional study. Int J Cardiol. 2013;163:157–162.
  32. Guptha S, Gupta R, Deedwania P, et al. Cholesterol lipoproteins, triglycerides and prevalence of dyslipidemias among urban Asian Indian subjects: a crosssectional study. Indian Heart J. 2014;66:280–288.
  33. Joshi SR, Anjana RM, Deepa M, et al. ICMR-INDIAB Collaborative Study Group.Prevalence of dyslipidemia in urban and rural India: the ICMR- INDIAB study.PLos One. 2014;9:e96808.
  34. Suryawanshi S, Gupta R, Ghodekar TV. FitHeart Study Investigators. Regional variations in cholesterol lipoproteins and prevalence of dyslipidemias in India:insights from a Pan-India lipid evaluation program. India Live.2014; Abstract.
  35. Yuan, J. Wang, and R. A. Hegele, ―Heterozygous familial hypercholesterolemia: an underrecognized cause of early cardiovascular disease,‖ CanadianMedical Association Journal, vol. 174, no. 8, pp. 1124– 1129, 2006.
  36. Teslovich TM, Musunuru K, Smith AV, et al. Biological, clinical and population relevance of 95 loci for blood lipids. Nature 2010; 466: 707–13.
Recommended Articles
Research Article
A Study on Cardiovascular Dysfunction in End Stage Renal Disease Patients on Haemodialysis using Echocardiography
...
Published: 29/10/2025
Download PDF
Research Article
Rotational Atherectomy versus Cutting Balloon Angioplasty in Severely Calcified Coronary Lesions: A Prospec-tive Single-Center Comparative Study
...
Published: 29/10/2025
Download PDF
Research Article
Clinical Epidemiology of Carcinoma of Prostate: An Eastern India scenario
Published: 28/10/2025
Download PDF
Research Article
I-gel versus Endotracheal Tube for Airway Management in Elective Laparoscopic Cholecystectomy: A Prospective Randomized Study
...
Published: 29/10/2025
Download PDF
Chat on WhatsApp
Copyright © EJCM Publisher. All Rights Reserved.