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Type 2 Diabetes & Cardiovascular Disease:An Update on Current and New strategies
for Improving Outcomes
Neil R PoulterInternational Centre for Circulatory Health &
Imperial Clinical Trials UnitImperial College London, UK
PACE CV Risk Master Class – Yogyakarta, Java – Indonesia 22 October 2016
Preventing Cardiovascular Events in
Patients with Diabetes
i. Intensifying all interventions
ii. Lipid lowering
iii.Blood pressure lowering
iv.Glycaemic control
T2Dm, Type 2 diabetes mellitus
Gaede P, et al. N Engl J Med 2003;348:383–393
• 160 patients with T2DM and microalbuminuria
• 80 patients allocated to conventional treatment
• 80 patients allocated to intensive treatment
• Mean age 55.1 years
• Mean follow-up 7.8 years
Steno Diabetes Centre
– Copenhagen, Denmark
The Steno-2 Study: A Summary
Can we reduce macrovascular events
in Type 2 diabetes?
Lipid lowering?(a)
21 (1.5%)
24 (1.7%)
51 (3.6%)
83 (5.8%)
Atorvastatin*
–48% (–69, –11)39 (2.8%)Stroke
–31% (–59, 16)34 (2.4%)Coronary revascularisation
–36% (–55, –9)77 (5.5%)Acute coronary events
–37% (–52, –17)
P=0.001127 (9.0%)Primary endpoint**
Hazard ratio Relative risk (CI)Placebo*Event
0.20.4 0.60.8 1 1.2
Favours atorvastatin Favours placebo
CARDS: Effects on major vascular events
*N (%) with an event
**Fatal MI, other acute CHD death, non-fatal MI, unstable angina, CABG, fatal stroke, non-fatal stroke
CABG, coronary artery bypass graft; CHD, coronary heart disease; CI, confidence interval; MI, myocardial infarction
Colhoun HM, et al. Lancet 2004;364:685–696
979 (10.5%)
3441 (9.6%)
4420 (9.8%)
627 (6.7%)
2807 (7.9%)
3434 (7.6%)
501 (5.4%)
1116 (3.2%)
1617 (3.7%)
1782 (19.2%)
6212 (17.4%)
7994 (17.8%)
Control
Effects on major vascular events of 1 mmol/L reduction
in LDL-C: Patients with and without diabetes from 14 RCTs
CI, confidence interval; LDL-C, low-density lipoprotein cholesterol; RCT, randomised controlled trial; RR, relative risk
CTT Collaboration. Lancet 2008;371:117–125
Major vascular event
and prior diabetes
Major coronary event
Diabetes
No diabetes
Any major coronary event
Test for heterogeneity within subgroup: x21 = 0.1; p=0.8
Coronary revascularisation
Diabetes
No diabetes
Any Coronary revascularisation
Test for heterogeneity within subgroup: x21 = 0.1; p=0.8
Stroke
Diabetes
No diabetes
Any stroke
Test for heterogeneity within subgroup: x21 = 0.8; p=0.4
Major vascular event
Diabetes
No diabetes
Any major vascular event
Test for heterogeneity within subgroup: x21 = 0.0; p=0.9
1465 (15.6%)
4889 (13.7%)
6354 (14.1%)
407 (4.4%)
933 (2.7%)
1340 (3.0%)
491 (5.2%)
2129 (6.0%)
2620 (5.8%)
776 (8.3%)
2561 (7.2%)
3337 (7.4%)
Treatment
0.78 (0.69-0.87)
0.77 (0.73-0.81)
0.77 (0.74-0.80)
0.75 (0.64-0.88)
0.76 (0.72-0.81)
0.76 (0.73-0.80)
0.79 (0.67-0.93)
0.84 (0.76-0.93)
0.83 (0.77-0.88)
0.79 (0.72-0.86)
0.79 (0.76-0.82)
0.79 (0.77-0.81)
RR (CI)
0.5 0.0 1.5Treatment better Control better
Events (%)
RR (99% CI)
RR (95% CI)
Can we reduce macrovascular events in Type 2 diabetes?
YES
Lipid lowering(a)
Blood pressure lowering(b)
Among patients with Type 2 diabetes, blood pressure lowering was associated with improved mortality and other
clinical outcomesEffect of a 10 mmHg reduction in systolic blood pressure
Meta-analysis data based on 40 trials (N=100,354)
Outcome
No. ofstudies Events Participants
BP lowering
Events Participants
ControlRelative risk
(95% CI)Favours
BP loweringFavours control
Mortality
Cardiovascular disease
Coronary heart disease
Stroke
Heart failure
Renal failure
Retinopathy
Albuminuria
20
17
17
19
13
9
7
7
2334
3230
1390
1350
1235
596
844
2799
27,693
25,756
26,150
27,614
21,684
19,835
9781
13,804
2319
3280
1449
1475
1348
560
905
3163
25,864
24,862
24,761
26,447
20,791
18,912
9566
12,821
0.87 (0.78, 0.96)
0.89 (0.83, 0.95)
0.88 (0.80, 0.98)
0.73 (0.64, 0.83)
0.86 (0.74, 1.00)
0.91 (0.74, 1.12)
0.87 (0.76, 0.99)
0.83 (0.79, 0.87)
0.5 1.0 2.0
Relative risk (95% CI)
BP, blood pressure; CI, confidence interval
Emdin CA, et al. JAMA 2015;313:603–615
Patients
Guidelines Uncomplicated hypertension Diabetes Chronic renal failure
USA (JNC7 [2003]) <140/90 mmHg <130/80 mmHg <130/80 mmHg
USA (‘JNC8’ [2014]) <150/90 mmHg (60+ years) <140/90 mmHg <140/90 mmHg
<140/90 mmHg (<60 years)
ASH/ISH 2013 <150/90 mmHg (80+ years) <140/90 mmHg <140/90 mmHg
<140/90 mmHg
Europe (ESH 2013) <140/90 mmHg <140/85 mmHg <140/90 mmHg
China (CSH 2005) <140/90 mmHg
≤150 mmHg SBP for elderly)
<130/80 mmHg <130/80 mmHg
Russia <140/90 mmHg <130/80 mmHg <130/80 mmHg
Korea (KSH 2004) <140/90 mmHg <130/80 mmHg <130/80 mmHg
WHO-ISH (2003) SBP <140 mmHg <130/80 mmHg <130/80 mmHg
BHS IV 2004 <140/85 mmHg <130/80 mmHg <130/80 mmHg
Blood Pressure Targets
SBP, systolic blood pressure
CHEP (2014) <140/90 mmHg <130/80 mmHg <130/80 mmHg
Can we reduce macrovascular events
in Type 2 diabetes?
YES
Lipid lowering(a)
Blood pressure lowering(b)
Glucose lowering(c)
YES
EPIC-NORFOLK study (1995–2003): 4662 men (45–79 years)
HbA1c (%)
Event
CHD CV Death
<5.0 1.00 1.00 1.00
5.0– 1.56 1.23† 1.25†
5.5– 2.00 1.56 1.57
6.0– 2.13 1.79 1.80
6.5– 3.44 3.03 3.49
≥7.0 7.07 5.01 3.38
Known diabetes 4.82 3.32 3.68
Relative risks for cardiovascular events and deaths
†non-significant
CHD, coronary heart disease; CV, cardiovascular
Khaw KT, et al. Ann Int Med 2004;141:413–420
• Strength
• Dose response
• Temporal sequence
• Independence
• Consistency
• Coherence (plausible)
• Predictive
• Reversible
✓
✓
✓
✓
✓
✓
✓
?
From association to cause
How low?
Glucose Lowering
Intensive Glycaemic Control Increased
All-cause Mortality (ACCORD)
aMajor CV event: non-fatal MI, non-fatal stroke or cardiovascular death
CV, cardiovascular; HR, hazard ratio; MI, myocardial infarction
ACCORD Study Group. N Engl J Med 2008;358:2545–2559
• Non-significant reduction in CV events in intensive group
(HR=0.90; P=0.16)
Primary outcomea
Mortality did not increase in other outcome trials
(e.g. VADT and ADVANCE)
• Increased mortality in intensive group
(HR=1.22; P=0.04)
Death from any cause
Standard therapy
Intensive therapy
Pati
en
ts w
ith
even
ts (
%)
25
20
15
10
5
00 1 2 3 4 5 6
Time (years)
Pati
en
ts w
ith
even
ts (
%)
25
20
15
10
5
00 1 2 3 4 5 6
Time (years)
• The latest outcomes trials investigating the effect
of intensive vs standard glucose control on CV
outcomes have not provided a clear answer
• The ADA has recently updated the recommended
target HbA1c from <6.5% to <7.0% for macrovascular
risk reduction
ADA, American Diabetes Association; CV, cardiovascular; HbA1c, glycated haemoglobin
ADA. Diabetes Care 2010;33(Suppl. 1):S11–S61
Glucose Lowering
With what and to whom?
Rosiglitazone was associated with a significant
increase in the risk of MI and with an increase in
the risk of death from CV causes that had
borderline significance.
Rosiglitazone – 2007
CV, cardiovascular; MI, myocardial infarction
Nissen SE, Wolski K. N Engl J Med 2007;356:2457–2471
“
”
Clinical Trial Results Scenarios and Likelihood
of Approvability
CI, confidence interval; HR, hazard ratio
Hirshberg B, Raz I. Diabetes Care 2011;34(Suppl. 2):S101–S106
Upper
limit of
95% CI
Non-inferiority
boundary
HR 1.8
Non-inferiority
boundary
HR 1.3
0.4 0.6 0.8 1 1.2 1.4 1.6 1.8 2.0 2.2
Hazard ratio
Superiority
Non-inferiority
Non-inferiority
Inferior
Under-powered
Approvable: No need
for post-marketing study
Approvable: Need
for post-marketing study
Not approvable
ALECARDIO(Aleglitazar, PPAR-αγ ) n=7226;
follow-up 2.0 yearsTermin. Q3 2013 – RESULTS
Insulin
20192015 20202013 2014 2016 2017 2018
PPAR-αγ
2021
SGLT2i
EMPA-REG OUTCOME(Empagliflozin, SGLT2i)
n=7000; duration up to 5 years Q2 2015 – RESULTS
CANVAS(Canagliflozin, SGLT2i)
n=4418; duration 4+ yearsCompletion Q2 2017
DECLARE-TIMI-58(Forxiga, SGLT2i)
n=17,276; duration ~6 yearsCompletion Q2 2019
CANVAS-R(Canagliflozin, SGLT2i)
n=5826; duration ~3 yearsCompletion Q1 2017
NCT01986881(Ertugliflozin, SGLT2i)
n=3900; duration ~6.3 yearsCompletion Q2 2020
CREDENCE (cardio-renal)(Canagliflozin, SGLT2i)
n= 3700; duration ~5.5 years Completion Q1 2020
DEVOTE(Insulin degludec, insulin)
n=7637; duration ~5 yearsCompletion Q3 2016
GLP-1 RA
ELIXA(Lyxumia, GLP-1 RA)
n=6000; duration ~4 yearsQ1 2015 – RESULTS
FREEDOM (ITCA 650, GLP-1 RA in DUROS)
n=4000; duration ~2 yearsCompletion Q3 2018
REWIND(Dulaglutide, QW GLP-1 RA)n=9622; duration ~6.5 years
Completion Q2 2019
SUSTAIN 6(Semaglutide, GLP-1 RA)
n=3297; duration ~2.8 yearsCompletion Q1 2016
LEADER(Victoza®, GLP-1 RA)
n=9341; duration 3.5–5 yearsCompletion Q4 2015
EXSCEL(Bydureon, QW GLP-1 RA)
n=14,000; duration ~7.5 yearsCompletion Q2 2018
HARMONY OUTCOME(Tanzeum, QW GLP-1 RA)
n~9400; duration ~4 yearsCompletion Q2 2019
DPP4i
TECOS(Januvia, DPP4i)
n=14,000; duration ~4–5 yearsQ4 2014 – RESULTS
SAVOR TIMI-53(Onglyza, DPP4i)
n=16,492; follow-up ~2 years Q2 2013 – RESULTS
EXAMINE(Nesina, DPP4i) n=5380;
follow-up ~1.5 yearsQ3 2013 – RESULTS
CAROLINA(Tradjenta, DPP4i vs SU)
n=6000; duration ~8 years Completion Q3 2018
CARMELINA(Tradjenta, DPP4i)
n=8000; duration ~4 years Completion Q1 2018
NCT01703208(Omarigliptin, QW DPP4i)
n=4302; duration ~3 yearsCompletion Q4 2020
Cardiovascular outcomes trials
Boxes with broken lines are for completed CVOTs
CVOT, cardiovascular outcome trial; DPP4, dipeptidyl peptidase-4; GLP-1 RA, glucagon-like peptide-1 receptor agonist; SGLT2i, sodium glucose co-transporter 2 inhibitor; SU, sulphonylurea
Source: clinicaltrials.gov (January 2015)
Recent CVOTs in T2DM
More of the same (adverse/no benefit):• ALECARDIO (Aleglitazar)• ACCORD (More or Less)• ORIGIN (Insulin vs. SC)• EXAMINE (Alogliptin)• SAVOR-TIMI (Saxagliptin)• TECOS (Sitagliptin)• ELIXA (Lixisenatide)
CVOT, cardiovascular outcomes trial; SC, standard care; T2DM, type 2 diabetes mellitus
Why do the cardiovascular outcome trials in Type 2
diabetes conflict with epidemiology-based expectations?
• Epidemiological association is not causal?
• Trial results wrong due to power/chance?
• Treating an aetiological factor does not necessarily
guarantee reversibility of effect
• Intervention too short and/or too small
• Wrong populations studied – e.g. too late
• Interventions cause other “off-target” damage
EMPA-REG Results
†Excluding silent MI.
CI, confidence interval; HR, hazard ratio
Zinman B, et al. N Engl J Med 2015;373:2117–2128
Primary endpoint Death from cardiovascular causes
Death from any cause Hospitalisation for heart failure
Empagliflozin Placebo
HR 0.86
95% CI 0.74–0.99)
P=0.04 for superiority
HR 0.62
95% CI 0.49–0.77)
P<0.001
HR 0.68
95% CI 0.57–0.82
P<0.001
HR 0.65
95% CI 0.50–0.85
P=0.002
0 6 12 18 24 30 36 42 48
0
5
Month
10
15
20
Pa
tie
nts
wit
h e
ve
nt
(%)
0 6 12 18 24 30 36 42 48
Month
0
9
Pa
tie
nts
wit
h e
ve
nt
(%)
8
7
6
5
4
3
2
1
0 6 12 18 24 30 36 42 48
Month
0
5
10
15
Pa
tie
nts
wit
h e
ve
nt
(%)
Pa
tie
nts
wit
h e
ve
nt
(%)
0 6 12 18 24 30 36 42 48
Month
0
7
6
5
4
3
2
1
Time to first occurrence of CV death, non-fatal MI†, or non-fatal stroke
LEADER results
Marso et al. N Engl J Med 2016;375:311–22
HR=0.8795% CI (0.78–0.97)
p<0.001 from noninferiorityp=0.01 for superiority
Placebo
Liraglutide
Pati
en
ts w
ith
an
even
t (%
)
20
15
10
5
0
0 6 12 18 24 30 36 42 54
HR=0.7895% CI (0.66–0.93)
p=0.007
Placebo
LiraglutidePati
en
ts w
ith
an
even
t (%
)
20
10
0
0 6 12 18 24 30 36 42 54
15
5
HR=0.8595% CI (0.74–0.97)
p=0.02Placebo
Liraglutide
Pati
en
ts w
ith
an
even
t (%
)
20
10
5
0
0 6 12 18 24 30 36 42 54
HR=0.8795% CI (0.73–1.05)
p=0.14
Placebo
LiraglutidePati
en
ts w
ith
an
even
t (%
)
20
0
0 6 12 18 24 30 36 42 54
15
10
5
Primary endpoint Death from cardiovascular causes
Death from any cause Hospitalisation for heart failure
48 48
48 48
15
CI, confidence interval; HR, hazard ratio
Nonfatal myocardial infarction
HR 0.74
95% CI 0.51–1.08
P=0.12
Weeks since randomization
Pa
tie
nts
with
eve
nt (%
)
No. at Risk
Placebo 1649 1624 1598 1587 1562 1542 1516
Semaglutide 1648 1623 1609 1595 1582 1560 1543
100
70
50
20
0
0 248 40 48 64 72 88 96 10916 32 56 80 104
90
80
60
40
30
10
5
1
00 248 40 48 64 72 88 96 10916 32 56 80 104
4
3
2
SUSTAIN 6 results
Marso SP et al. N Engl J Med 2016. DOI: 10.1056/NEJMoa1607141.
SemaglutidePlacebo
Primary outcome
HR 0.74
95% CI 0.58–0.95
P<0.001 for non-inferiority
P=0.02 for superiority
Weeks since randomization
Pa
tie
nts
with
eve
nt (%
)
100
70
50
20
0
0 248 40 48 64 72 88 96 10916 32 56 80 104
90
80
60
40
30
10
10
7
5
2
00 248 40 48 64 72 88 96 10916 32 56 80 104
98
6
43
1
No. at Risk
Placebo 1649 1616 1586 1587 1534 1508 1479
Semaglutide 1648 1619 1601 1584 1568 1543 1524
Nonfatal stroke
HR 0.61
95% CI 0.38–0.99
P=0.04
Weeks since randomization
Pa
tien
ts w
ith
eve
nt (%
) 100
70
50
20
0
0 248 40 48 64 72 88 96 10916 32 56 80 104
90
80
60
40
30
10
5
1
00 248 40 48 64 72 88 96 10916 32 56 80 104
4
3
2
No. at Risk
Placebo 1649 1629 1611 1597 1571 1548 1528
Semaglutide 1648 1630 1619 1606 1593 1572 1558
Death from cardiovascular causes
HR 0.98
95% CI 0.65–1.48
P=0.92
Weeks since randomization
Pa
tie
nts
with
eve
nt (%
)
No. at Risk
Placebo 1649 1637 1623 1617 1600 1584 1566
Semaglutide 1648 1634 1627 1617 1607 1589 1579
100
70
50
20
0
0 248 40 48 64 72 88 96 10916 32 56 80 104
90
80
60
40
30
10
5
1
00 248 40 48 64 72 88 96 10916 32 56 80 104
4
3
2
Why/how did empagliflozin, liraglutide &
semaglutide work?
• Chance ?
• Glucose-lowering ?
• Blood pressure benefits ?
• Weight reduction ?
• Incipient heart failure ?
• Other(s) ?
1. Diet and lifestyle are the critical determinants of T2DM and merit
routine intervention
2. Treat those with T2DM with a statin (irrespective of lipid levels)
3. Treat those with T2DM with BP lowering (irrespective of BP level?)
4. Aspirin use for high-risk patients with T2DM?
5. Lower glucose in T2DM – microvascular benefits clear ± long-term
macrovascular benefits. Method of reduction matters
Conclusions
BP, blood pressure; T2DM, Type 2 diabetes mellitus
Meanwhile
• Huge and increasing medical, social and economic burden associated
with diabetes
• Developing countries are the worst affected
• Region-specific, targeted preventative strategies are urgently needed
• But for those already diagnosed – effective blood pressure and lipid lowering
are mandatory for macrovascular protection +/- empagliflozin and/or liraglutide
or semaglutide on top of usual care