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A therogenic D iabetic D yslipidemia ( ADD ) - Time to Relook & Evaluate Treatment Options. 14339_89. 3_85. K ey questions. How big is the challenge of Atherogenic Diabetic dyslipidemia (ADD ) in INDIA? Why diabetics are more prone to dyslipidemia?
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Atherogenic Diabetic Dyslipidemia (ADD) - Time to Relook & Evaluate Treatment Options
14339_89 3_85 Key questions • How big is the challenge of Atherogenic Diabetic dyslipidemia (ADD) in INDIA? • Why diabetics are more prone to dyslipidemia? • Why management of Diabetes & Dyslipidemia becomes important? • What is the evidence to support benefits from TG reduction? • What is the current management approach in ADD? • What are the current limitations of treating dyslipidemia in diabetics? • What’s new in ADD? • How LipaglynTMis different? • Trial & evidence of LipaglynTMefficacy & safety? • What is the proposed place for Lipaglyn in treatment of DD?
Research in 2004 forecast Indian diabetic population to reach ~80 Mn by 2030… *Number in the adult population (20 years of age). Wild S et al. Diabetes Care. 2004;27:1047-1053.
…however, it has breached 60 Mn in 2011 itself Diabetic population in India: ICMR INDIAB study 2011 62.4 million people with diabetes 77.2 million people with pre-diabetes RM Anjana et. al. Diabetologia (2011) 54:3022–3027 DOI 10.1007/s00125-011-2291-5
Globally, dyslipidemia is a widespread condition in diabetics Conclusion : Every 3 out of 4 diabetic suffers from dyslipidemia Selby JV et al. Am J Manag Care. 2004;10(part 2):163-70.
Only a minority (<18%) of patients with T2DM achieve ABC goals • The “ABCs” of optimal CV health in diabetes are: • Most T2DM patients fail to achieve these targets: • In a study of 5426 diabetic patients • (who were on treatment) in USA • from 2008 to 2009, only 17.3% • could achieve all the 3 ABC targets A HbA1c < 7.0% BP < 130/80 mm Hg B LDL-C < 100 mg/dL C So novel therapeutic options are required for optimal management VouriSmetal. ManagCare Pharm. 2011;17(4):304-12
But in India, almost 9 out of 10 diabetics have dyslipidemia This suggests that there are >55 millions patients of diabetic dyslipidemia in India Prevalence of Dyslipidemia (%) in Male T2 DM Prevalence of Dyslipidemia (%) in Female T2DM 85.5% 85.5 % 97.8 % Dyslipidemia Dyslipidemia RM Parikh et al. Diabetes & Metabolic Syndrome: Clinical Research & Reviews 4 (2010) 10–12
20483_85 Lifestyle and genetic factors also contribute to higher incidence of dyslipidemia in Indians • Diet • Dyslipidemic profile - seen in vegetarians* • Indian diets rich in carbohydrate and low in Omega-3 PUFA- exacerbates hyper-triglyceridemia.* • Physical Activity • Asian Indians-more physically inactive: May be due to fast economic development in recent years** • Genetic Factors • Abnormal variants of ApoC 3 and ApoE 3 genes common in India^ • Indians have more abdominal adiposity* • Thrifty gene to blame too *Misra & Vikram ,Nutrition. 2004 May;20(5):482-91 ** Talwar & Misra,JAssoc Physicians India 2002;50:1521 ^Misra et al, J Assoc Physicians India 2004;52:137-42
Besides, body composition of Asian Indians makes them more vulnerable • Shorter height* • Lower body mass index* • Excess body fat in relation to body mass index † • Abdominal adiposity • High waist-to-hip ratio ‡ • Normal waist circumference*§ • High intra-abdominal fat* • Truncal adiposity • Thick subscapular skinfold thickness* • More abdominal subcutaneous fat*II • Less lean body mass*¶ * As compared with whites or blacks. † High body fat per unit of body mass index. II As estimated by skinfold thickness measurements or imaging techniques. ¶ Particularly in the lower extremities. ‡ This may be due to less lean mass at the hips resulting in a smaller hip circumference. § Average value of waist circumference usually does not exceed the currently accepted cutoff values for abdominal obesity. *Misra, Nutrition. 2004 May;20(5):482-91
Indian dyslipidemia is different from its Western counterpart in terms of lipid parameters Comparison of Indian vs. Western Dyslipidemia Atherogenic Dyslipidemia Indians living in the US - 54% of men and 68% of women had low HDL levels. Similarly, 43% of Indian males and 24% Indian females have high TG levels that exceed 150 mg/dL 20th Annual Convention of the American Association of Physicians of Indian OriginClinical Implications: Dyslipidemia in the Asian Indian Population June 29, 2002
ADD affects TG, LDL-C and HDL-C ↔ LDL-C (>100)&↑sd-LDL-C ↑TG>150 The Triad of ADD ↓HDL-C<40 for Males <50 for Females Sarma ,IHJ, 2000, 52: 173-177Sarma, Am J Med, 1998, vol 105(1A), 48S-56S
10_89 3_85 Agenda • How big is the challenge of Diabetic dyslipidemia (DD) in INDIA? • Why diabetics are more prone to dyslipidemia? • Why management of Dyslipidemia and Diabetes becomes important? • What is the evidence to support benefits from TG reduction? • What is the current management approach in DD? • What are the current limitations of treating dyslipidemia in diabetics? • What’s new in DD? • How Lipaglyn is different? • Trial & evidence of Lipaglyn efficacy & safety? • What is the proposed place for Lipaglynintreatment of DD?
Why diabetics are more prone to ADD? ↑HSL Type II Diabetes is characterized by insulin resistance IR: Insulin Resistance CE, cholesteryl esters; FFA, free fatty acids; TG, triglycerides. CETP: Cholesterol Ester Transport Protein HN Ginsberg,JClin Invest. 2000;106:453–458.
Why diabetics are more prone to ADD? ↑HSL IR: Insulin Resistance CE, cholesteryl esters; FFA, free fatty acids; TG, triglycerides. CETP: Cholesterol Ester Transport Protein HN Ginsberg,JClin Invest. 2000;106:453–458.
Why diabetics are more prone to ADD? ↑HSL IR: Insulin Resistance CE, cholesteryl esters; FFA, free fatty acids; TG, triglycerides. CETP: Cholesterol Ester Transport Protein HN Ginsberg,JClin Invest. 2000;106:453–458.
Why diabetics are more prone to ADD? ↑HSL IR: Insulin Resistance CE, cholesteryl esters; FFA, free fatty acids; TG, triglycerides. CETP: Cholesterol Ester Transport Protein HN Ginsberg,JClin Invest. 2000;106:453–458.
8_89 3_85 Agenda • How big is the challenge of Atherogenic Diabetic dyslipidemia (ADD) in INDIA? • Why diabetics are more prone to dyslipidemia? • Why management of Diabetes and Dyslipidemia becomes important? • What is the evidence to support benefits from TG reduction? • What is the current management approach in ADD? • What are the current limitations of treating dyslipidemia in diabetics? • What’s new in ADD? • How LipaglynTMis different? • Trial & evidence of Lipaglyn efficacy & safety? • What is the proposed place for Lipaglyn in treatment of DD?
Mortality rate is doubled in individualswith diabetes* 35 Ratio 2.5 Ratio 2.2 Ratio 2.1 30 25 Mortality rate(deaths per 1,000 patient-years) 20 15 10 N= 657 N= 6908 5 0 Helsinki Policemen Study Whitehall Study Paris ProspectiveStudy N = 10087 N= 657 N= 6908 Diabetes is CHD equivalent: NCEP ATP III guidelines^ Control (non-diabetes) *Balkau B, et al. Lancet 1997; 350:1680. ^SM Grundy et al,Circulation. 2004;110:227-239 Diabetes
12_84 Dyslipidemia is the single most important CV risk factor for MI INTERHEART9 Modifiable factors account for 90% of first-MI risk worldwide Yusuf S et al, Lancet; 364:937-52
In dyslipidemia patients with diabetes, CV risk is heightened by 3-4 times as compared to dyslipidemia without diabetes J Stamler et al, DiabetesCare February 1993:16:434-444
Hypertriglyceridemia has a direct relation with insulin resistance *Total area under 3 hoursresponsecurve (mean of 2 tests) OlefskyJM et al. Am J Med. 1974;57:5551-560
27650_85 Hypertriglyceridemia is an independent CV risk factor • For every increase in TGlevel of 89 mg/dL, CVD risk increases by 32% in men and 76% in women Meta-analysis of 17 studies (> 55,000 patients) HokansonJE et al. J Cardiovasc Risk. 1996; 3: 213-219
Hypertriglyceridemia in T2DM patients increase CV risk by 3 timescompared to T2DM patients without high TG. 27650_85 Hypertriglyceridemia in diabetes is an independent CV risk factor Asian study of diabetic patients (followed up for 4.6 years) Diabetes Metab Res Rev. 2005 Mar-Apr;21(2):183-8.
6_85 Patients in highest tertile of serum TG had 72% higher risk of CVD than those in lowest tertile Meta-Analysis of 29 Studies Groups CHD Cases CHD Risk Ratio* (95% CI) N = 2,62,525 1.72 (1.56-1.90) 1 2 3 Increased Risk Sarwar N, et al. Circulation. 2007;115:450-458. *Individuals in top versus bottom third of usual log-triglyceride values, adjusted for at least age, sex, smoking status, lipid concentrations, and blood pressure (most)
Hazard Ratio for CHD is directly related to TG concentration N=302,430 The Emerging Risk Factors Collaboration JAMA. 2009 November 11; 302(18): 1993–2000
60418_85 Increased CV risk can be due to other serious consequences of hypertriglyceridemia • Low levels of HDL-C • The presence of sd-LDL-C particles • The presence of atherogenic triglyceride-rich lipoprotein remnants • Insulin resistance • Increases in coagulability and viscosity • Pro-inflammatory status Miller M. Eur Heart J. 1998 Jul;19 (Suppl H): H18-22
8_89 3_85 Agenda • How big is the challenge of Diabetic dyslipidemia (DD) in INDIA? • Why diabetics are more prone to dyslipidemia? • Why management of Dyslipidemia and Diabetes becomes important? • What is the evidence to support benefits from TG reduction? • What is the current management approach in DD? • What are the current limitations of treating dyslipidemia in diabetics? • What’s new in DD? • How Lipaglyn is different? • Trial & evidence of Lipaglyn efficacy & safety? • What is the proposed place for Lipaglyn in treatment of DD?
Relevance of TG<100 mg/dL - lower the TG lower the sd-LDL-C • At fasting TG<100 mg/dL, 85% population has predominant large buoyant LDL particles while if fasting TG>250 mg/dL 85% of population has predominant sd-LDL-C particles. • sd-LDL is known to be more atherogenic, keeping TG at 200-250 mg/dL may not be optimal to reduce atherosclerosis Pattern B: a predominance of small, dense LDL particles Pattern A: large, more buoyant LDL particles predominate Austin et al, Circulation. 1990; 82:495-506
With the realization of importance of TG, the suggested target for TG has kept coming down Circulation. published online April 18, 2011
CV benefits of PPAR alpha agonists VA-HIT: Primary Endpoint (non-fatal MI and CHD death) BIP study 3090 CAD patients were randomized to bezafibratevs Placebo, primary end point was fatal, nonfatal MI/sudden death Follow up:6.2 yrs 2500 CHD patients randomized to gemfibrozil or placebo follow up; 5 yrs • Rubins HB et al, N Eng J Med, August 5, 1999 Vol. 341;410-418 BIP Study Group Circulation. 2000;102:21-27
4_85 10_85 Let’s understand what the FIELD trials show about the benefits of PPAR- α therapy 9795 patients, Age 50-75 years, type 2 diabetes diagnosed after age 35 years, no clear indication for cholesterol-lowering therapy at baseline (total cholesterol 116-251 mg/dL, plus either total cholesterol to HDL ratio ≥4.0 or triglyceride >88.6 mg/dL • Baseline Lipid levels: • LDL-C 120 mg/dL (mean) • TC 195 mg/dL (mean) • HDL-C 43 mg/dL (mean) • TG 155 mg/dL (median) Placebo N=4900 Fenofibrate (200 mg) N=4895 • Endpoints • Primary - Composite of CHD death or non-fatal MI at 5 year follow-up • Secondary - Composite of total CV events, CV mortality, total mortality, stroke, coronary revascularization and all revascularization at 5 year follow-up Keech A et al, Lancet 2005; 366: 1849–61
PPAR-α agonistshowed no clear benefit in primary endpoints Composite CHD death or nonfatal MI at 5 Years (% of treatment arm) p=0.16 N= 9795 Perception is that FIELD trial failed, but lets look critically at high TG Population or AtherogenicDyslipidemics.. Lancet 2005; 366: 1849–61
PPAR-α agonists reduce CV events in T2DM patients with high TG and low HDL (ADD) FIELD: Sub-analysis :Total CV events in patients with Metabolic Syndrome ↓23% ↓27% % patientsdeveloping events % patientsdeveloping events P=0.01 N=2517 P=0.005 N=2014 R Scott et al, Diabetes Care 32:493–498, 2009
Let’s also look at what ACCORD trials show about the benefits of PPAR-αtherapy • 5518 patients with type 2 diabetes (HbA1c > 7.5%) who were being treated • All patients were on open-label simvastatin. Median Age: 62.3 years. 36.5% patients had CVD. • Baseline: • TG: 162 mg/dl • TC: 175.2 mg • LDL: 100.6 mg/dl • HDL: 38.6 mg/dl Placebo Fenofibrate 160 mg The primary outcome was the first occurrence of nonfatal myocardial infarction, nonfatal stroke, or death from cardiovascular causes. The mean follow-up was 4.7 years. ACCORD Study Group. N Engl J Med. 2010;362:1563-1574.
However, ACCORD results did not show any significant CV benefits in overall population The annual rate of the primary outcome was 2.2% in the fenofibrate group and 2.4% in the placebo group (hazard ratio in the fenofibrate group, 0.92; 95% confidence interval [CI], 0.79 to 1.08; P = 0.32) P=0.32 % patientsdeveloping primary end Point ACCORD Study Group. N Engl J Med. 2010;362:1563-1574.
ACCORD: PPAR-α agonist significantly reduce CV events in T2DM patients with TG>204 and HDL<34 (ADD) ↓31% P=0.03 N=941 % patientsdeveloping events 941 T2DM patients (already on simvastatin) were randomized to fenofibrate or placebo Mean Follow up: 4.7 yrs *MI, stroke and death Tenenbaum and Fisman, Cardiovascular Diabetology 2012, 11:125
51203_85 Limitation & Learning from FIELD & ACCORD Trial FIELD Study FIELD Study Limitation More patients in the placebo group (17%) than in the PPAR-alpha agonist group(8%) received the non-study lipid-lowering agents (predominantly statins) . Learning If adjustment is done for statin therapy then PPAR-alpha agonist reduces CHD risk by 19% (p = 0.01) PPAR-α agonist significantly reduces CV events by 27% in patients with TG>204 & low HDL-C PPAR-α agonist therapy reduced CV events significantly by 31% in patients with high TG and Low HDL who were already on statin at the time of randomization and continued throughout the trial ACCORD Study
By lowering TG, PPAR-α agonists can reduce the macro- & microvascular complications of T2DM Major CV events Coronary events Albuminuria Revascularization Retinopathy P=0.048 P=0.02 Change in relative Risk (%) P<0.0001 P=0.025 P<0.0001 18 trials metaanalysis, > 45000 patients Jun M et al, Lancet 2010; 375: 1875–84
8_84 In a meta analysis of 5 landmark studies (n = 4726), PPAR-α agonists reduced CV events significantly by 35% in patients with high TG≥ 204 mg/dLand low HDL ≤ 34 mg/dL(Atherogenic Dyslipidemia) TG > 204 mg/dl and HDL < 34 mg/dl TG < 204 mg/dl and HDL > 34 mg/dl P<0.05 N=4726 N Engl J Med. 2010:363(7):692-4 Diabetes Care 32:493–498, 2009
In different studies in last 30 years, TG reduction, with or without statin, has been proven to cause significant risk reduction in patients with high TG and low HDL-C (Atherogenic Dyslipidemia)
Optimal glycemic control leads to ~24% risk reduction for microvasculardiseases (Microvascular diseases included are photocoagulation, vitreous hemorrhage, renal failure) UKPDS 80. NEJM 2008;359:1577-89
Let’s understand what the PROactive trial about the benefits of glycemic control and CV outcomes through PPAR γ therapy Prospective, randomised, double-blind, placebo-controlled, study 5238 patients with type 2 diabetes (with macrovascular disease) Pioglitazone 15-45 mg (n=2605) Placebo (n=2633) Baseline Values: TG – 160 mg/dL End Point: Time to death, MI (except silent MI) and stroke Follow up: 34.5 months PROactive Study (PROspectivepioglitAzone Clinical Trial In macroVascular Events) JA Dormandy et al,Lancet 2005; 366: 1279–89
Need redesign PPAR-γ agonist reduced CV end points (Death, MI, stroke) significantly (by 16%) in DM patients with baseline TG 160 mg/dL 16% risk reduction JA Dormandy et al, Lancet 2005; 366: 1279–89
Need redesign A meta analysis of 19 trials, 16,390 patients with T2DM suggested that PPAR-γ agonist agent reduces CV events by 18% Composite Events (Death, Nonfatal MI, Stroke) 5.7% HR 0.8295% CI 0.72-0.94P=0.005 4.4% Patients % Control Pioglitazone Lincoff et al. JAMA 2007;298:1180-1188
We understood the importance of TG reduction and good Glycemic Control- now what next?
Non-HDL-C VsLDL-C for CV risk in healthy women • In a prospective study of healthy 15,632 women who were followed up for 10 years, strength of association between different lipid parameters (HDL-C, LDL-C, non-HDL-C) and CV risk were measured. Conclusion Non-HDL-C was a stronger indicator of CV risk than LDL-C Paul Ridkar JAMA. 2005;294:326-333
Non-HDL-C is a better indicator of residual risk than LDL-C • When triglycerides are > 200 mg/dL but < 500 mg/dL, a non–HDL-C calculation will provide better risk assessment than LDL-C alone • If insulin resistance is suspected, evaluate non–HDL-C to gain useful information regarding the patient’s total atherogenic lipoprotein burden. • Non–HDL-C targets are 30 mg/dL higher than established LDL-C risk levels AACE 2012 - Dyslipidemia Guidelines • Jellinger PS, et al. ENDOCRINE PRACTICE Vol 18 (Suppl 1) March/April 2012:1-78)