diabetes: how to reduce risk from a cardiovascular ... · diabetes: how to reduce risk from a...
TRANSCRIPT
Diabetes: How to reduce risk from a
cardiovascular perspective?
Diederick E. Grobbee, MD, PhD, FESC
Professor of Clinical Epidemiology
President, European Association for Preventive Cardiology
Julius Center for Health Sciences and Primary Care
University Medical Center Utrecht, the Netherlands
0
1
2
3
CV death All-cause mortality
Haz
ard
rat
io (
95
% C
I) (
dia
bet
es
vs n
o d
iab
etes
)
Globally, 387 million people are living with diabetes1
At least 68% of people >65 years with diabetes die of heart disease2
This will rise to 592 million by 20351
1. IDF Diabetes Atlas 6th Edition 2014 http://www.idf.org/diabetesatlas; 2. Centers for Disease Control and Prevention 2011; 3. Seshasai et al. N Engl J Med 2011;364:829-41
Mortality risk associated with diabetes (n=820,900)3
3
*including: TNFα, IL-6, resistin, PAI-1, angiotensinogen
Lau et al. Am J Physiol Heart Circ Physiol 2005;288:H2031‒41.
OBESITY
Adiponectin
Adipocytokines
inflammatorycytokines*
T2D
Insulin resistance
Dyslipidaemia
Endothelial dysfunction
Hypertension
Age
Oxidative stress
Atherosclerosis
Interactions are complex, inter-related and not necessarily causal
4
Almost a third of diabetes patients were current smokers2
1. Svensson et al. Diab Vasc Dis Res 2013;10:520–9. 2. Das et al. Am Heart J 2006;151:1087–93.
5
↓CV risk
Control of LDL-cholesterol
Antiplatelet therapy
Glycaemic control
Weight loss and lifestyle
intervention*
*Includes smoking cessation.Rydén et al. Eur Heart J 2013;34:3035–87.
Effects on macrovascular risk uncertain or not fully established
Effects on macrovascular risk established
Antihypertensive therapy
6
↓CV risk
Control of LDL-cholesterol
Antiplatelet therapy
Glycaemic control
Weight loss and lifestyle
intervention*
*Includes smoking cessation.
Antihypertensive therapy
<11
11-15
15-21
>21
0
10
20
30
40
50
60
70
1612
84
18
14
10
5
36
28
20
10
57
44
31
16
69
54
37
19CV
eve
nts
av
oid
ed p
er 1
00
0
7
Blood Pressure Lowering Treatment Trialists’ Collaboration. Lancet 2014;384:591–8.
Small BP reductions in high-risk individuals avoid as many events as large BP reductions in low-risk individuals
CV
eve
nts
av
oid
ed
per
10
00
8
↓CV risk
Control of LDL-cholesterol
Antiplatelet therapy
Glycaemic control
Weight loss and lifestyle
intervention*
*Includes smoking cessation.
Antihypertensive therapy
-32
-24 -23 -22-24
-31
-25
-44
-37
-8
-42
-19
-25
-18
-11
-60
-50
-40
-30
-20
-10
0
RR
red
uct
ion
or
haz
ard
rat
io (
%)
Combined
9
1. Ryden et al. Eur Heart J 2007;28:88–136. 2. Libby. J Am Coll Cardiol 2005;46:1225–8. 3. LaRosa et al. N Engl J Med 2005;352:1425–35. 4. Shepherd et al. N Engl J Med 1995;333:1301–8. 5. Downs et al. JAMA 1998;279:1615–22. 6. Ridker et al. N Engl J Med 2008;359:2195.7. Colhoun et al. Lancet 2004;364:685–96. 8. ALLHAT-LLT. JAMA 2002;288:2998–3007.
6605659520,536415990144444N 10,001 17,802
Non-diabetes Diabetes
AFCAPS/TexCAPS5
4S1,2 LIPID1,2 CARE1,2 WOSCOPS4Trial HPS1,2TNT3 JUPITER6
Secondary prevention Primary preventionHigh risk
CARDS7 ALLHAT-LLT8
2838 10,355
*Includes smoking cessation.
10
↓CV risk
Control of LDL-cholesterol
Antiplatelet therapy
Glycaemic control
Weight loss and lifestyle
intervention*
Antihypertensive therapy
1. Sarwar et al. Lancet 2010;375:2215–22.
2. Seshasai et al. N Engl J Med 2011;364:829–41.
Vascular death2
Ad
just
ed H
R (
95
% C
I)
2.5
2.0
03
1.5
0.9
4 100 5 6 7 8 9
Mean FBG concentration (mmol/L)
1.0
No history of diabetes at baselineHistory of diabetes at baseline
No known history of diabetes at baseline surveyKnown history of diabetes at baseline survey
Ad
just
ed H
R (
95
% C
I)
4.0
3.0
03
2.0
1.0
4 100 5 6 7 8 9
Mean FBG concentration (mmol/L)
Coronary heart disease1
VADT3UKPDS2
ADVANCE5
ACCORD4
1. Meinert et al. Diabetes 1970;19(suppl):789–830. 2. UKPDS 33. Lancet 1998;352:837–53. 3. Duckworth et al. N Engl J Med 2009;360:129–39. 4. Gerstein et al. N Engl J Med 2008;358:2545–59. 5. Patel et al. N Engl J Med 2008;358:2560–72.
12
1950 1960 1970 1980 1990 2000 2010
UGDP1
Date of first patient enrolment
*Median; †Mean.1. UKPDS 33. Lancet 1998;352:837–53. 2. Patel et al. N Engl J Med 2008;358:2560–72.3. Gerstein et al. N Engl J Med 2008;358:2545–59. 4. Duckworth et al. N Engl J Med 2009;360:129–39.
Trial NDuration
of follow-up (years)
Glycaemic target
Main inclusion criteriaIntensive treatment
Standard treatment
UKPDS1 3,867 10.0* FPG< 6 mmol/L
FPG< 15 mmol/L
T2D newly diagnosed
ADVANCE2 11,140 4.3* HbA1c
≤ 6.5%per local
guidelines
T2D and macrovascular or microvascular disease, or 1 CV risk factor
ACCORD3 10,251 3.5† HbA1c
< 6.0%HbA1c
7.0–7.9%T2D and CVD or 2 CV risk factors
VADT4 1,791 5.6* HbA1c
≤ 6%HbA1c
8–9%Long-standing, poorly controlledT2D
13
Myocardial infarction* p = 0.052 16%
Diabetes-related death* p = 0.3410%
All-cause mortality* p = 0.446%
0 10 20 30 40
Any diabetes-related endpoint* p = 0.02912%
Microvascular complications* p = 0.009925%
Retinopathy progression† p = 0.01521%
Microalbuminuria† p = 0.00005433%
Risk reduction (%)
14
*Median follow-up, 10 years; †assessed as surrogate endpoints; follow-up, 12 years.
UKPDS 33. Lancet 1998;352:837–53.
• Glucose lowering Sulfonylurea (gliclazide MR) based intensive therapy targeting HbA1c of 6.5% versus usual guideline-based care
• Blood pressure loweringFixed combination perindopril-indapamide versus matching placebo
• 2.0 / 0.625mg or placebo for first 3 months
• 4.0 / 1.25mg or placebo thereafter
N Engl J Med 2008;358:2560-72
Mean HbA1c (%)
5.0
5.5
6.0
6.5
7.0
7.5
8.0
8.5
9.0
9.5
10.0
Follow-up (Months)
0 6 12 18 24 30 36 42 48 54 60 66
7.3 %
Mean HbA1c
at final visit
6.5%
Standard
Intensive
N Engl J Med 2008;358:2560-72
17
Patel et al. N Engl J Med 2008;358:2560–72.
Standard control Intensive control
Major microvascular eventsMajor macrovascular events
p = 0.3225
6
Cu
mu
lati
ve in
cid
ence
(%
)
20
15
10
5
018 24 30 36 42 48 66
Follow-up (months)
25
6
20
15
10
5
018 24 30 36 42 48
Follow-up (months)
p = 0.01
12 54 600 6612 54 600
14% risk reduction
N at Risk
Standard therapy 5109 4774 4588 3186 1744 455 436
Intensive therapy 5119 4768 4585 3165 1706 476 471
Gly
ca
ted
He
mo
glo
bin
(%
)
6.0
0 3 4 5
Years
0621
Standard TherapyIntensive Therapy
6.5
7.0
7.5
8.0
8.5
9.0
19
*First occurrence of non-fatal MI or non-fatal stroke or death from CV causes.
Gerstein et al. N Engl J Med 2008;358:2545–59.
Intensive therapy(n = 5128)
Standard therapy(n = 5123)
OutcomeNo. of patients
(annual event rate, %)No. of patients
(annual event rate, %)
Primary outcome* 352 (2.11) 371 (2.29)
Secondary outcome
Death
Any cause 257 (1.41) 203 (1.14)
CV cause 135 (0.79) 94 (0.56)
Non-fatal stroke 67 (0.39) 61 (0.37)
Fatal or non-fatal CHF 152 (0.90) 124 (0.75)
0.5 1.0 2.0
Hazard ratio (95% CI)
Favours intensive therapy
Favours standard therapy
Non-fatal MI 186 (1.11) 235 (1.45)
ADVANCE-ON
N Engl J Med 2014;371(15):1392-406
Zoungas et al. N Engl J Med 2014;371:1392-406.
22
Turnbull et al. Diabetologia 2009;52:2288–98.
Meta-analysis including 27,049 participants and 2370 major vascular events
0.5 1.0 2.0Hazard ratio (95% CI)
ACCORD 257 (1.41) 203 (1.14) -1.01ADVANCE 498 (1.86) 533 (1.99) -0.72UKPDS 123 (0.13) 53 (0.25) -0.66VADT 102 (2.22) 95 (2.06) -1.16Overall 980 884 -0.88
ACCORD 137 (0.79) 94 (0.56) -1.01ADVANCE 253 (0.95) 289 (1.08) -0.72UKPDS 71 (0.53) 29 (0.52) -0.66VADT 38 (0.83) 29 (0.63) -1.16Overall 497 441 -0.88
All-cause mortality
Cardiovascular death
Trials
Number of events(annual event rate, %)
More intensive Less intensive∆HbA1c (%)
Favours more intensive
Favours less intensive
Overall HR (95% CI)
1.04 (0.90–1.20)
1.10 (0.84–1.42)
23
Adapted from 1. Kirby. Br J Diabetes Vasc Dis 2012;12:315–20. 2. Lantus® SPC. FDA 2015.
1950 1960 1970 1980 1990 2000 2010 2012 2013
Lente class of insulins
produced
SUs first used
Metformin introduced in the UK
Recombinant human insulin
produced
2nd generation SUs available
Three new classes introduced: -glucosidase inhibitors, meglitinides
and TZDs
Glimepiride: 3rd generation SU
DPP4 inhibitors
GLP1 receptor agonists
SGLT2 inhibitors
Insulin degludec
Older T2D agents Newer T2D agents →
Insulin glargine available2
24
Timings represent estimated completion dates as per ClinicalTrials.gov.
Adapted from Johansen. World J Diabetes 2015;6:1092–96.
CANVAS-R8
(n = 5700)Albuminuria
2013 2014 2015 2016 2017 2018 2019
SAVOR-TIMI 531
(n = 16,492)1,222 3P-MACE
EXAMINE2
(n = 5380)621 3P-MACE
TECOS4
(n = 14,724)≥ 1300 4P-MACE
LEADER6
(n = 9340)≥ 611 3P-MACE
SUSTAIN-67
(n = 3297)3P-MACE
DECLARE-TIMI 5815
(n = 17,150)≥ 1390 3P-MACE
EMPA-REG OUTCOME®5
(n = 7034)≥ 691 3P-MACE
CANVAS10
(n = 4365)≥ 420 3P-MACE
CREDENCE17
(n = 3700)Renal + 5P-MACE
CAROLINA®11
(n = 6000)≥ 631 4P-MACE
ITCA CVOT9
(n = 4000)4P-MACE
EXSCEL14
(n = 14,000)≥ 1591 3P-MACE
DPP4 inhibitor CVOTs
SGLT2 inhibitor CVOTs
GLP1 CVOTsErtugliflozin CVOT18
(n = 3900)3P-MACE
OMNEON13
(n = 4000)4P-MACE
CARMELINA12
(n = 8300)4P-MACE + renal
REWIND16
(n = 9622)≥ 1067 3P-MACE
2021
ELIXA3
(n = 6068)≥ 844 4P-MACE
HARMONY Outcomes19
(n = 9400) 3P-MACE
26
SAVOR-TIMI 53
EXAMINE
HR: 1.0(95% CI: 0.89, 1.12)
HR: 0.96(95% CI: UL ≤1.16)
TECOSHR: 0.98
(95% CI: 0.88, 1.09)
ELIXAHR: 1.02
(95% CI: 0.89, 1.17)
DPP-4 inhibitors*
Lixisenatide
CV, cardiovascular; HR, hazard ratio; DPP-4, dipeptidyl peptidase-4*Saxagliptin, alogliptin, sitagliptinAdapted from Johansen OE. World J Diabetes 2015;6:1092-96
2013 2014 2015
28
1. Bakris et al. Kidney Int 2009;75;1272–7.
SGLT2SGLT2
inhibitor
SGLT1
SGLT2 inhibitors reduce glucose reabsorption
in the proximal tubule, leading to
urinary glucose excretion* and
osmotic diuresis
Filtered glucose load > 180 g/day
SNS activity (?)
29
Inzucchi et al. Diab Vasc Dis Res 2015;12:90‒100.
Weight Visceral adiposity
Blood pressure Arterial
stiffness
Glucose Insulin
Albuminuria
Uric Acid
Novel Pathways (?)
LDL-C HDL-C
Triglycerides
Oxidative stress
SNS activity (?)
Zinman et al. Cardiovasc Diabetol 2014;13:102.
Placeborun-in
2 weeks
Empagliflozin 10 mg QD + usual care
Empagliflozin 25 mg QD + usual care
Placebo + usual care
Screening (n = 11,507)
Background therapy adjustment allowed after Week 12
12 weeks of stable background glucose-lowering therapy
Visit 1
Week
4 8 12 16 28 40 520-2-3
Visit 3 Visits 4–7every 4 weeks
Visits 8–10every 12 weeks
Visits every 14 weeks
Visit 2
Follo
w-u
p
R
End of study visit
+30 days
Aim Compound-specificTo determine CV safety of empagliflozin vs placebo + usual care for glycaemic control andCV risk in patients with T2D and high CV risk
6,0
6,5
7,0
7,5
8,0
8,5
9,0
Ad
just
ed m
ean
(SE
) H
bA
1c
(%)
Week
Placebo
Empagliflozin 10 mg
Empagliflozin 25 mg
2294
2296
2296
Placebo
Empagliflozin 10 mg
Empagliflozin 25 mg
2272
2272
2280
2188
2218
2212
2133
2150
2152
2113
2155
2150
2063
2108
2115
2008
2072
2080
1967
2058
2044
1741
1805
1842
1456
1520
1540
1241
1297
1327
1109
1164
1190
962
1006
1043
705
749
795
420
488
498
151
170
195
12 28 52 94 10880 12266 1360 150 164 178 192 20640
All patients (including those who discontinued study drug or initiated new therapies) were included in this mixed model repeated measures analysis (intent-to-treat) X-axis: timepoints with reasonable amount of data available for pre-scheduled measurements
HR 0.86(95.02% CI 0.74, 0.99)
p=0.0382*
Cumulative incidence function. MACE, Major Adverse Cardiovascular Event; HR, hazard ratio. * Two-sided tests for superiority were conducted (statistical significance was indicated if p≤0.0498)
HR 0.68(95% CI 0.57, 0.82)
p<0.0001
Kaplan-Meier estimate. HR, hazard ratio
• Type II Diabetes is a major determinant of cardiovascular risk
• While improvements in care and effective treatments large unmet medical need remains
• BP and lipid lowering and antiplatelets essential elements of prevention
• Benefits of strict glucose control debated for macrovascular disease
• First results of SGLT2 inhibition look promising as an add-on treatment in type II diabetes
• GLP-1 agonists new kid on the block with new potential?