new treatments for type 2 diabetes: implications of ......microvascular complications of t2dm in...
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New Treatments for Type 2 Diabetes: Implications of Cardiovascular Outcome Trials
Richard Pratley, M.D.
Samuel Crockett Chair in Diabetes ResearchDirector, Florida Hospital Diabetes Institute
Senior Investigator, Translational Research InstituteAdjunct Professor, Sanford Burnham Prebys Medical Discovery Institute
Orlando, Florida
Neal B et al. N Engl J Med. 2017 Jun 12.
Disclosures
Advisory Board / Consultant: Boehringer-Ingleheim, GSK, Lilly, Merck, Novo Nordisk, Pfizer, Takeda
Research Support: Lexicon, Lilly, Merck, Novo Nordisk, Pfizer, Sanofi, Takeda
All honoraria directed toward a non-profit which supports education and research
Outline
Overview of new classes of diabetes drugs
Rationale for CVOTs in diabetes
Cardiovascular safety of new diabetes drugs: evidence to date Thiazolidinediones
DPP-4 Inhibitors
SGLT-2 Inhibitors
GLP-1 Receptor Agonists
Insulin
Implications of CVOTs for clinical practice
Multiple Metabolic Defects Contribute to Hyperglycemia in T2DM
Islet -cell
ImpairedInsulin Secretion
NeurotransmitterDysfunction
Decreased GlucoseUptake
Islet -cell
IncreasedGlucagon Secretion
IncreasedLipolysis
Increased GlucoseReabsorption
IncreasedHGP
DecreasedIncretin Effect
From DeFronzo, Diabetes: 2009
Prediabetesstate
Normal IGT
Clinical disease
Type 2Diabetes
DisabilityDeath
Complications
Complications
Primary Secondary TertiaryPrevention Prevention Prevention
Type 2 Diabetes: A Progressive Disease
86 million 29 million
CDC National Diabetes Statistics Report, 2014. www.CDC.gov
IGT = impaired glucose tolerance
Microvascular Complications of T2DM
● In 2005-2008, of adults ≥40 years of age with diabetes, 4.2 million (28.5%) had diabetic retinopathy.
655,000 (4.4%) had advanced diabetic retinopathy
● In 2010, about 73,000 non-traumatic lower-limb amputations were performed in adults ≥20 years of age with diabetes.
● About 60% of non-traumatic lower-limb amputations among adults ≥20 years of age are in people with diabetes.
● Diabetes was listed as the primary cause of kidney failure in 44% of all new cases in 2011.
Centers for Disease Control and Prevention. National Diabetes Statistics Report: Estimates of Diabetes and ItsBurden in the United States, 2014. Atlanta, GA: U.S. Department of Health and Human Services; 2014.
Diabetes Doubles the Risk for Vascular Outcomes
HR = hazard ratio; CI = confidence interval; MI = myocardial infarction.Emerging Risk Factors Collaboration. Lancet. 2010;375(9733):2215–2222.
Numberof Cases
Coronary heart disease* 26,505Coronary death 11,556Nonfatal MI 14,741
Stroke subtypes*Ischemic stroke 3,799Hemorrhagic stroke 1,183Unclassified stroke 4,973
Other vascular deaths 3,826
HR (95% CI) I2 (95% CI)
2.00 (1.83–2.19) 64 (54–71)2.31 (2.05–2.60) 41 (24–54)1.82 (1.64–2.03) 37 (19–51)
2.27 (1.95–2.56) 1 (0–20)1.56 (1.19–2.05) 0 (0–26)1.84 (1.59–2.13) 33 (12–48)
1.73 (1.51–1.98) 0 (0–26)
1 2 4
GI = gastrointestinal; GLP-1 = glucagon-like peptide-1; RA = receptor agonist; CHF = congestive heart failure; ARF = acute renal failure; MTC = medullary thyroid carcinoma; DPP-4 = dipeptidyl peptidase-4; SGLT2 = sodium-dependent glucose cotransporter -2.
Adapted from: Nathan DM, et al. Diabetes Care. 2007;30(3):753-759. Nathan DM, et al. Diabetes Care. 2006;29(8):1963-1972. Nathan DM, et al. Diabetes Care. 2009;32(1):193-203. ADA. Diabetes Care. 2008;31:S12-S54. Buse J, et al. Lancet. 2009;374(9683):39-47.
12 Classes of Antihyperglycemic Agents for T2DMClass A1c
ReductionHypo-
glycemiaWeightChange
Dosing(times/day) Other Safety Issues
Metformin 1.5 No Neutral 2 GI, lactic acidosis, B12 deficiency
Basal insulin analog 1.5–2.5 Yes Gain 1, injected Hypoglycemia
Rapid-acting insulin 1.5–2.5 Yes Gain 1-4,injected
Sulfonylureas 1.5 Yes Gain 1 Allergies, secondary failure
Thiazolidinediones 0.5–1.4 No Gain 1 Edema, CHF, bone fractures
Short-acting GLP-1 RAs 0.5–1.0 No Loss 2, injected GI, ? pancreatitis, ARF
Long-acting GLP-1 RAs ~1.5 No Loss 1, injected GI, ? pancreatitis, ?MTC, ?ARF
Repaglinide 1–1.5 Yes Gain 3
Nateglinide 0.5–0.8 Rare Gain 3
Alpha-glucosidase inhibitors 0.5–0.8 No Neutral 3 GI
Amylin mimetics 0.5–1.0 No Loss 3, injected GI
DPP-4 inhibitors 0.6–0.8 No Neutral 1 Pancreatitis
Bile acid sequestrant 0.5 No Neutral 1 or 2 GI
Bromocriptine quick release 0.7 No Neutral 1 GI
SGLT2s 0.8-1.0 No Loss 1 Genital mycotic infections
From DeFronzo, Diabetes: 2009
Complementary Mechanisms of Action of Current Diabetes Medications
Islet -cell
ImpairedInsulin Secretion
NeurotransmitterDysfunction
Decreased GlucoseUptake
Islet -cell
IncreasedGlucagon Secretion
IncreasedLipolysis
Increased GlucoseReabsorption
IncreasedHGP
DecreasedIncretin Effect
InsulinSulfonylureasMegltinides
MetforminBromocryptine
TZDs
GLP-1 RADPP-4 inhibitors
GLP-1 RADPP-4 inhibitors
SGLT-2 inhibitors
Class Mechanism Advantages Disadvantages CostBiguanides(Metformin)
• Activates AMP-kinase• Hepatic glucose production
• Extensive experience• No hypoglycemia• Weight neutral• ? CVD events
• Gastrointestinal• Lactic acidosis• B-12 deficiency• Contraindications
Low
SUs / Meglitinides
• Closes KATP channels• Insulin secretion
• Extensive experience• Microvascular risk
• Hypoglycemia• Weight gain• Low durability• ? Ischemic preconditioning
Low
TZDs • Activates PPAR-• Insulin sensitivity
• No hypoglycemia• Durability• TGs, HDL-C • ? CVD events (pio)
• Weight gain• Edema / heart failure• Bone fractures• ? MI (rosi)• ? Bladder ca (pio)
Low
Properties of Established Anti-Hyperglycemic Agents
Diabetes Care 2012;35:1364–1379. Diabetologia 2012;55:1577–1596
The Incretin Defect in T2DM
Substantial impairment – 40% of normal response
Not due to impaired secretion of GLP-1 or GIP
Absent insulinotropic response to GIP Beta-cell GIP receptor down-regulation
Decreased response to GLP-1 Can be overcome by achieving higher than physiologic GLP-1
levels
GLP-1 infusions that achieve higher levels effective at enhancing insulin secretion and suppressing glucagon in a glucose-dependent manner
Nauck et al. Diabetologia. 1986;29:46–52. Laakso et al. Diabetologia. 2008;51:502‐11. Nauck et al. Diabetologia. 2011;54:10‐8.Højberg et al. Diabetologia. 2009;52:199‐207. Vilsbøll et al. Diabetologia. 2002;45:1111–19. Nauck et al. Diabetologia. 1993;36:741–44.
Add GLP-1 analogues with longer half-life:
Incretin effect is impaired in T2DM
Natural GLP-1 has extremely short half-life
InjectablesBlock DPP-4, the enzyme that degrades GLP-1:
• Sitagliptin• Saxagliptin• Linagliptin• Alogliptin
Oral agents
Drucker. Curr Pharm Des. 2001;7(14):1399-1412. Drucker. Mol Endocrinol. 2003;17(2):161-171.
Incretin Therapies to Treat T2DM
Exendin-4 Based:• Exenatide• Exenatide QW
Human GLP-1:• Liraglutide• Albiglutide• Dulagutide
Comparison of DPP-4 InhibitorsSitagliptin Alogliptin Saxagliptin Linagliptin
Usual Phase 3 Dose 25, 50, 100 mg QD 6.25, 12.5 25 mg QD 2.5, 5 mg QD 5 mg QD
Half Life (t1/2) 12.4h 12.5 to 21.1h (25mg) 2.2 to 3.8h 40 h
DPP-4 inhibition at 24h ~80% at 24h ~78% at 24h (25 mg) 5 mg: ~55% at 24h 75% at 24 h
EliminationKidney(mostly
unchanged)
Kidney(mostly unchanged)
Liver and kidneyActive metabolite
Bile (mostly unchanged)
Renal Dose Adjustments Required
Yes Yes Yes No
Selectivity for DPP-4
>2600 fold vs DPP-8 >10,000 fold
vs DPP-9
>10,000 fold vs DPP-8/9
>400 fold vs DPP-8>100 vs DPP-9
>10,000 fold vsDPP-8/9
Potential for DDI Low Low Strong CYP3A4/5 inhibitorsd
Strong CYP3A4/5 inhibitorsd
Food effect No No No No
Efficacy of DPP-4 Inhibitor Therapy Added to Metformin
141. Charbonnel. Diabetes Care. 2006;29:2638‐43. 2. Raz et al. Curr Med Res Opin. 2008;24:537‐50.3. Scott et al. Diabetes Obes Metab. 2008;10:959‐69. 4. DeFronzo et al. Diabetes Care. 2009;32:1649‐55.5. Taskinen et al. Diabetes Obes Metab. 2011;13:65‐74. 6. Nauck et al. Int J Clin Pract. 2009;63:46‐55.
BL
A1C
(%)
8.0
≥7–≤
10
7.7
7.7
7.7
≥7–≤
10
≥7–≤
10
≥7–≤
10
8.1
8.1
≥7–≤
10
n=701
n=190
n=273n=273
n=273
n=743n=743
n=743
n=743
n=701
n=701
n=527
Sitagliptin 100 mgRosiglitazonePlaceboSaxagliptin 2.5 mg
Saxagliptin 5 mgSaxagliptin 10 mgLinagliptin 5 mgAlogliptin 12.5–25 mg
—
Sitagliptin Saxagliptin Linagliptin Alogliptin
DPP-4 Inhibitors vs Sulfonylureas Added to Metformin – 2-Year ResultsDPP-4 Inhibitors vs Sulfonylureas Added to Metformin – 2-Year Results
1. Del Prato et al. Diabetes Obes Metab. 2014;16:1239‐46.2. Gallwitz et al. Lancet. 2012;380:475‐83.3. Göke et al. Int J Clin Pract. 2013;67:307‐16.4. Seck et al. Int J Clin Pract. 2010;64:562‐76.5. Nauck et al. Diabetes Obes Metab. 2007;9:194‐205.
ALO (25 mg)1,a LINA (5 mg)2,b SITA (100 mg)4,d
GLIP1,3,4
SAXA (5 mg)3,c
GLIM2
P = .01
Agent Δ Weight, kg Hypoglycemia, %
DPP-4i SU DPP-4i SUALO1,a −0.9e +1.0 1.4 23.2LINA2,b −1.4e +1.3 7e 36SAXA3,c −1.5 +1.3 3.5 38.4SITA4,d −1.6 +0.7 5 34
Noninferiority vs SU
Ser
Lys
GlnGlu
His Gly Glu Gly Thr Phe Thr Ser Asp Leu
MetGluGluAlaValArgLeuPhe
Ile
Glu
Trp Leu Lys Asn Gly Gly Pro Ser SerGly
Ala
ProProProSer
GLP-1 Receptor Agonists
GLP-1 RA
1. Christensen M, et al. Idrugs. 2009;12:503-513. 2. Ratner RE, et al. Diabet Med. 2010;27:1024-1032. 3. Stewart M, et al. ADA 2008, poster 522-p. 4. Glaesner, et al. Diabetes Metab Res Rev. 2010;26:287-296. 5. Meier JJ. Nat Rev Endocrinol. 2012;8:728-742.
Human GLP-1 Analogues[4]
Exendin-4 analogues
Liraglutide Albiglutide DulaglutideLixisenatide Exenatide BID Exenatide QW
*Not approved
Lys
His Ala Thr Thr SerPheGlu Gly AspVal
Ser
SerTyrLeuGluGlyAlaAla GlnLys
Phe
Glu
Ile Ala Trp Leu GlyVal Gly Arg
Structural modifications confer albumin (liraglutide, albiglutide) or IgG Fc fraction (dulaglutide) binding
Semaglutide*
GLP-1 RA Administration and Devices
1. BYETTA Prescribing Information. 2. Victoza Summary of Product Characteristics. 3. Eperzan Summary of Product Characteristics. 4. Lyxumia Summary of Product Characteristics. 5. BYDUREON Prescribing Information.
DulaglutideAutomatic Injection
Hidden needle
*Not FDA approved
*
Short-Acting vs. Long-acting GLP-1 RAs: Pharmacokinetic Differences
1. Byetta. Summary of Product Characteristics; 2. Lyxumia. Summary of Product Characteristics; 3. Victoza. Summary of Product Characteristics; 4. Barrington et al. Diabetes Obes Metab 2011;13:434–8; 5. Eperzan. Summary of Product Characteristics; 6. Novo Nordisk data on file; 7. Fineman et al. Clin Pharmacokinet 2011;50:65–74
OD, once daily; Tmax, time to reach maximum concentration
Category Agent Half-life Tmax
Short-acting GLP-1 RAsExenatide BID1 2.4 h 2 h
Lixisenatide2 2.7–4.3 h 1.25–2.25 h
Long-acting GLP-1 RAs
Liraglutide3 13 h 8–12 h
Dulaglutide4 90 h 24–48 h
Albiglutide5 5 days 3–5 days
Semaglutide6 ~7 days 1–1.5 days
Exenatide OW7 7–14 days 6–7 weeks
Incr
easi
ng p
rotra
ctio
n
FPG
Short-acting Long-acting
PPG FPG PPG
GLP-1RA Duration Influences FPG, PPG and A1c
FPG, fasting plasma glucose; PPG, postprandial plasma glucose
Fineman MS et al. Diabetes Obes Metab 2012;14:675-688.
Head-to-Head Trials Comparing Efficacy of GLP-1 RAs
a P < .05 between groups.b Noninferiority vs LIRA not met.c DULA noninferior to LIRA, P < .0001.1. Buse JB, et al. Lancet. 2009;374:39-47; 2. Blevins T, et al. J Clin Endocrinol Metab. 2011;96:1301-1310; 3. Buse JB, et al. Lancet.
2013;381:117-124; 4. Pratley R, et al. Lancet Diabetes Endocrinol. 2014;2:289-297; 5. Wysham C, et al. Diabetes Care. 2014;37:2159-2167; 6. Dungan K, et al. Lancet. 2014; 384(9951):1349-1357.
a
ab
a,b
DURATION-52LEAD-61 DURATION-63 HARMONY-74 AWARD-15 AWARD-66
ac
EXN BID 10 mcg LIRA 1.8 mg EXN QW 2.0 mg ALBI 50 mg DULA 1.5 mg
Added toMET ± SU
Added toDrug-naïve
or MET ± SU
± TZD
Added toDrug-naïve
or MET ± SU
± TZD
Added toMET ± SU
± TZD
Added toMET ± TZD
Added toMET
Placebo
GLP-1 RAs vs DPP-4 InhibitorsAdded to Metformin
Agent
Δ Weight, kg
Hypoglycemia, % of patients
GLP-1 RA DPP-4i GLP-1
RA DPP-4i
EXENBID1,d −2.8 NA 5 NA
EXENQW2,e −2.3b −0.8 1d 3
LIRA3,f −3.4a -1.0 5d 5
DULA4,g −3.0b −1.5 10d 5
ALBI5,h −0.8c -0.2 24d,j 16j
EXEN BID (10 μg)1,e
EXEN QW (2 mg)2,fDULA (1.5 mg)4,h
P<0.001 P<0.0001
ΔA
1c F
rom
Bas
elin
e, %
LIRA (1.8 mg)3,gALBI (30 or 50 mg)5,i
aP<0.0001 vs DPP-4 inhibitor; bP<0.001 vs DPP-4 inhibitor; cP<0.05 vs DPP-4 inhibitor; dNo statistical analysis performed;eEXEN BID: 30-week study of exenatide twice daily; baseline A1C, 8.2%; fEXEN QW: 26-week trial of exenatide once weekly; baseline A1c, 8.4%; gLIRA: 26-week trial with liraglutide; baseline A1c, 8.5%; hDULA: 52-week trial; baseline A1c, 8.1%; iALBI: 26-week trial of albiglutide; baseline A1c, 8.2%; jAlmost all patients experiencing hypoglycemia were also taking a sulfonylurea. 1. DeFronzo RA, et al. Diabetes Care. 2005;28:1092-1100; 2. Bergenstal RM, et al. Lancet. 2010;376:431-439; 3. Pratley RE, et al. Lancet. 2010;375(9724):1447-1456; 4. Nauck M, et al. Diabetes Care. 2014;37(8):2149-2158; 5. Leiter LA, et al. Diabetes Care. 2014;37(10):2723-2730.
SITA
P<0.001
P<0.001
P<0.0001
Na+/Glucose
SGLT-2 InhibitionInsulin-Independent Reversal of Glucotoxicity
Insulin sensitivity in muscle1,2
Insulin sensitivity in liver2
Gluconeogenesis2,3
Improved β-cell function4,5
GLUT-2, glucose transporter 2.1. DeFronzo RA, et al. Diabetes Obes Metab. 2012;14(1):5-14; 2. Merovci A, et al. J Clin Invest. 2014;124(2):509-514; 3. Marsenic O. Am J Kidney Dis. 2009;53(5):875-883; 4. Ferrannini E, et al. J Clin Invest. 2014;124(2):499-508; 5. Polidori D, et al. Diabetologia. 2014;57(5):891-901.
Tubular Lumen
3Na+
2K+ATP
GLUT-2
GlucoseGLUT-1
Glucose
SGLT-2
Glucose
Na+
SGLT-1
ProximalTubule
3Na+
2K+ATP
SGLT2 Inhibitors: FDA-Approved Agents
FDA-approved SGLT2 InhibitorsAgent AdministrationCanagliflozin • Oral, once daily
• Taken before the first meal of the dayDapagliflozin • Oral, once daily
• Taken in the morning with or without food
Empagliflozin
SGLT-2 Inhibitors vs SulfonylureasAdded to Metformin
Agent
Δ Weight, kg
Hypoglycemia, % of patients
SGLT-2Inhibitor SU SGLT-2
Inhibitor SU
CANA1,a −4.0a +0.7 5a 34
DAPA2,b −3.2a +1.4 3a 41
EMPA3,c −3.2a +1.6 2a 24CANA (300 mg)1,b
DAPA (10 mg)2,c
Noninferiorvs SU
ΔA
1c F
rom
Bas
elin
e, %
EMPA (25 mg)3,d
GLIPGLIM
aP<0.0001 vs SU.bCANA: 52-week trial of canagliflozin; baseline A1c, 7.8%; cDAPA: 52-week trial of dapagliflozin; baseline A1c, 7.7%; d EMPA:104-week trial of empagliflozin; baseline A1c, 7.9%. 1. Cefalu WT, et al. Lancet. 2013;382(9896):941-950; 2. Nauck MA, et al. Diabetes Care. 2011;34(9):2015-2022; 3. Ridderstråle M, et al. Lancet Diabetes Endocrinol. 2014;2(9):691-700.
Outline
Overview of new classes of diabetes drugs
Rationale for CVOTs in diabetes
Cardiovascular safety of new diabetes drugs: evidence to date Thiazolidinediones
DPP-4 Inhibitors
SGLT-2 Inhibitors
GLP-1 Receptor Agonists
Insulin
Implications of CVOTs for clinical practice
Nissen SE, Wolski K. N Engl J Med 2007;356:2457-2471.
Diabetes and Cardiovascular Disease:The Perfect Storm
2008 FDA Guidance for Industry on Evaluating the Cardiovascular Risk of New Antidiabetic Therapies
For completed studies prior to NDA:● Integrated meta-analysis of phase
2/3 trials to compare CV events in patients randomized to investigational drug vs. control
● Demonstrate new therapy will not result in an unacceptable CV risk Evaluated by Major Adverse
Cardiovascular Events (MACE) Estimated risk ratio for upper bound
of the 2-sided CI for the investigational drug should be <1.8
If upper CI = 1.3 - 1.8, post-marketing CV surveillance trial may be required
Traditional CV Outcome Trials vs Diabetes CV Safety Trials
CV = cardiovascular; DPP-4 = dipeptidyl peptidase-4; LDL-C = low density lipoprotein cholesterol. 1.Heart Protection Study Collaborative Group. Lancet. 2002;360:7–22. 2. Heart Protection Study Collaborative Group. Lancet. 2003;361:2005–2016. 3. White WB et al. N Engl J Med. 2013;369:1327–1335. 4. Scirica BM et al. N Engl J Med. 2013;369:1317–1326. 5. Green JB et al. Am Heart J. 2013;166:983–989.e7.
Traditional (eg, LDL-C) CV Outcome Trials
Designed to Demonstrate CV Benefit1,2
Diabetes CV Safety TrialsPrimarily Designed to Demonstrate CV
Safety3–5
Lower CV risk vs Placebo or Active comparator
Difference in LDL-C between treatment and placebo or active comparator
CV benefit of treatment demonstrated by significant reduction in CV outcomes
No adjustmentto maintain
LDL-C levels the same in both groups
No increased CV risk vs Placebo as part of standard care
Small or no difference in HbA1c between treatment and placebo
No increased CV risk (CV safety) of treatment demonstrated by
noninferiority
Adjustmentto maintainHbA1c levels the same in both groups
Initiation of blinded treatment or placebo or active comparator Initiation of blinded treatment or
placebo
Insulin
20192015 20202013 2014 2016 2017 2018 2021
SGLT-2i
EMPA-REG OUTCOME(Empagliflozin, SGLT-2i)
n=7000; duration up to 5 years Q2 2015 - RESULTS
CANVAS(Canagliflozin, SGLT-2i)
n=4418; duration 4+ yearsCompletion Q1 2017
DECLARE-TIMI-58(Forxiga, SGLT-2i)
n=17,276; duration ~6 yearsCompletion Q2 2019
CANVAS-R(Canagliflozin, SGLT-2i)
n=5826; duration ~3 yearsCompletion Q1 2017
VERTIS CV (NCT01986881)(Ertugliflozin, SGLT-2i)
n=8000; duration ~6.3 yearsCompletion Q4 2019
CREDENCE (cardio-renal)(Canagliflozin, SGLT-2i)
n=3700; duration ~5.5 years Completion Q1 2020
DEVOTE(Insulin degludec, insulin)n=7637; duration ~5 yearsQ3 2016 - COMPLETED
GLP-1RA
ELIXA(Lyxumia, GLP-1RA)
n=6000; duration ~4 yearsQ1 2015 – RESULTS
FREEDOM (ITCA 650, GLP-1RA in DUROS)
n=4000; duration ~2 yearsQ2 2016 - COMPLETED
REWIND(Dulaglutide, QW GLP-1RA)n=9622; duration ~6.5 years
Completion Q3 2018
SUSTAIN 6(Semaglutide, GLP-1RA)
n=3297; duration ~2.8 yearsQ3 2016 - RESULTS
LEADER(Victoza, GLP-1RA)
n=9341; duration 3.5–5 yearsQ2 2016 - RESULTS
EXSCEL(Bydureon, QW GLP-1RA)
n=14,000; duration ~7.5 yearsCompletion Q2 2018
HARMONY OUTCOME(Tanzeum, QW GLP-1RA)n~9400; duration ~4 years
Completion Q2 2019
DPP-4i
TECOS(Januvia, DPP-4i)
n=14,000; duration ~4–5 yearsQ4 2014 - RESULTS
SAVOR TIMI-53(Onglyza, DPP-4i)
n=16,492; follow-up ~2 years Q2 2013 – RESULTS
EXAMINE(Nesina, DPP4i) n=5380;
follow-up ~1.5 yearsQ3 2013 – RESULTS
CAROLINA(Tradjenta, DPP-4i vs. SU)n=6000; duration ~8 years
Completion Q1 2019
CARMELINA(Tradjenta, DPP-4i)
n=8000; duration ~4 years Completion Q1 2018
Cardiovascular Outcomes Trials in Diabetes
Boxes with broken lines are for completed CVOTsCVOT, cardiovascular outcomes trial; DPP-4i, dipeptidyl peptidase 4 inhibitor; GLP-1RA, glucagon-like peptide-1 receptor agonist; QW, once weekly; SGLT-2i, sodium glucose co‐transporter 2 inhibitor; SU, sulphonylurea
Source: clinicaltrials.gov (October 2016)
2008FDA guidance
T2DM Patients in CV Outcomes Trials
Holman RR et al. Lancet 2014; 383: 2008–17.
● 25 Trials Ongoing/Completed● 8 classes of medications● >200,000 planned participants
Outline
Overview of new classes of diabetes drugs
Rationale for CVOTs in diabetes
Cardiovascular safety of new diabetes drugs: evidence to date Thiazolidinediones
DPP-4 Inhibitors
SGLT-2 Inhibitors
GLP-1 Receptor Agonists
Insulin
Implications of CVOTs for clinical practice
PROactive: Significant Reduction in Secondary Outcome
Dormandy JA et al. Lancet. 2005;366:1279-89.
Events(%)
*Excluding silent MI
060 12 18 24 30 36
Time from randomization (months)
16% RRRHR 0.84 (0.72–0.98)
P = 0.027
5
10
15
25
20
Pioglitazone301 events
Placebo358 events
All-cause mortality, nonfatal MI*, stroke
PROactive: HF Hospitalization and Mortality
Pioglitazonen (%)
Placebon (%) P
HF leading to hospital admission*
Fatal HF
149 (5.7)
25 (0.96)
108 (4.1)
22 (0.84)
0.007
NS
Dormandy JA et al. Lancet. 2005;366:1279-89.
*Non-adjudicated
N = 5238
● 5½-year study● 338 centers● 23 countries in
Europe, Australia, and New Zealand
Home P et al. Lancet. 2009 373(9681):2125-35.
Home P et al. Lancet. 2009 373(9681):2125-35.
NEJM: Published on-line: February 17, 2016 DOI: 10.1056/NEJMoa1506930
IRIS: Pioglitazone for Stroke Prevention
Eligibility: Recent TIA or Ischemic StrokeNon-DiabeticInsulin Resistant (HOMA > 3.0)No CHF
IRIS: Trial Design
RN=3895*
Placebo
Pioglitazone15mg→45 mg
Fatal/non-fatal MIFatal/non-fatal stroke
5 years
5 years
*90% power to detect a 20% RRR from 27% in the placebo group to 22% in the pioglitazone group at an alpha level of 0.05
ClinicalTrials.gov Identifier:NCT00091949Viscoli CM et al. Am Heart J 2014;168:823
IRIS: Primary Outcome
80%
85%
90%
95%
100%
‐ 20 40 60Months in Trial
CumulativeEvent-Free
SurvivalProbability HR 0.76
95% CI, 0.62 to 0.93 P=0.007
Pioglitazone
Placebo
11.8%*
9.0%*
0
Kernan WN et al. N Engl J Med, published on-line Feb 17, 2016 DOI: 10.1056/NEJMoa1506930
*cumulative event rates
Summary: ThiazoladinedioneCardiovascular Outcomes Trials
● No apparent increased risk of MI or MACE
Some benefit apparent with pioglitazone
Cannot assume that this is a class effect
● Increased risk for heart failure
No increased risk for heart failure deaths
● Increased risk for fractures
Outline
Overview of new classes of diabetes drugs
Rationale for CVOTs in diabetes
Cardiovascular safety of new diabetes drugs: evidence to date Thiazolidinediones
DPP-4 Inhibitors
SGLT-2 Inhibitors
GLP-1 Receptor Agonists
Insulin
Implications of CVOTs for clinical practice
Cardiovascular Outcomes Trials for DPP-4 Inhibitors
Median Duration of Follow-up
Randomization Year 3Year 2Year 1
SAVOR-TIMI 531 Primary Endpoint Hazard Ratio
CV death,nonfatal MI, or nonfatal stroke
Saxagliptin
Placebo
CVD or CRFsA1c 6.5–12.0%
n=16,492
1.00 (95% CI
0.89, 1.12)p=0.99
Median follow-up2.1 years
EXAMINE2
CV death,nonfatal MI, or nonfatal stroke
Alogliptin
Placebo
ACSA1c 6.5–11.0%
n=5,380
Median follow-up1.5 years
0.96(upper boundary
of 1-sided repeated CI 1.16)
p=0.315
TECOS3
CV death,nonfatal MI, or
nonfatal stroke, or UA requiring
hospitalization
Sitagliptin
Placebo
CVDA1c 6.5–8.0%
n=14,735
Median follow-up
3 years
0.98(95% CI 0.88, 1.09)
p=0.645(superiority)
. Scirica BM, et a. NEJM. 2013;369:1317-1326; 2. White W, et al. NEJM. 2013;369:1327-1335; 3. Green JB, et al. NEJM, 2015
0.99(95% CI 0.89, 1.10)
p=0.84(superiority)
CV death,nonfatal MI, or nonfatal stroke
Cardiovascular Outcomes Trials for DPP-4 Inhibitors
1. Scirica, BM, et al. New Eng J Med. 2013 Oct 3;369(14):1317-26.2. White WB, et al. N Engl J Med. 2013 Oct 3;369(14):1327-35.3. Green JB, et al. N Engl J Med. 2015 Jul 16;373(3):232-42.
N=16,492
Composite of CV death, MI, or ischemic stroke
0 180 360 540 720 900Days
Patie
nts,
%
14
10
6
20
Saxagliptin
Placebo
Hazard ratio: 1.00 (95% CI: 0.89–1.12)P < 0.001 (noninferiority)
12
8
4
Saxagliptin (SAVOR-TIMI 53 Trial1)
Composite of CV death, nonfatal MI, or nonfatal stroke.
Months0 6 12 18 24 30
24
18
12
6
0
Alogliptin
Placebo
Hazard ratio: 0.96 (upper boundary of one-sided repeated 95% CI: 1.16)
N=5380
Alogliptin (EXAMINE Trial2)
Months
15
10
0
Sitagliptin
Placebo
5
Sitagliptin (TECOS Trial3)
Composite of CV death, nonfatal MI, nonfatal stroke, or
hospitalization for unstable angina
Hazard ratio: 0.98(95% CI: 0.89, 1.08)P=0.65
0 12 2418 3630 42 4884
N=14,671
SAVOR-TIMI 53, EXAMINE, and TECOS: MACE Outcomes
SAVOR-TIMI(saxagliptin vs placebo)
EXAMINE(alogliptin vs placebo)
TECOS(sitagliptin vs placebo)
SAVOR + EXAMINE+ TECOS
613/8280(7.4%)
305/2701(11.3%)
745/7332(10.2%)
1663/18313(9.1%)
Study Drugn/N (%)
609/8212(7.4%)
316/2679(11.8%)
746/7339(10.2%)
1671/18230(9.2%)
Placebon/N (%)
1.00
0.96
0.99
0.99
HazardRatio
0.89, 1.12
NA, 1.16
0.89, 1.10
0.92, 1.06
95%CI
0.99
0.315
0.844
p-Value
0 1 2
Favors Treatment
Favors Placebo
*
Test for heterogeneity for 3 trials:p=0.877, I2=0%
*Lower Confidence Limit not given for EXAMINE trial; MACE = major adverse cardiac events.1. Scirica BM, et al. N Engl J Med. 2013;369:1317–1326. 2. White WB, et al. N Engl J Med. 2013;369:1327–1335. 3. Green JB, et al. N Engl J Med. 2015;373(3):232–242.
SAVOR-TIMI 53, EXAMINE, and TECOS:Hospitalization for Heart Failure
SAVOR-TIMI(saxagliptin vs placebo)
EXAMINE(alogliptin vs placebo)
TECOS(sitagliptin vs placebo)
289/8280(3.5%)
106/2701(3.9%)
228/7332(3.1%)
Study Drugn/N (%)
228/8212(2.8%)
89/2679(3.3%)
229/7339(3.1%)
Placebon/N (%)
1.27
1.19
1.00
HazardRatio
1.07, 1.51
0.89, 1.58
0.83, 1.20
95%CI
0.009*
0.238
0.983
p-Value
0 1 2
Favors Treatment Favors Placebo
*Statistically significant increase in hospitalizations for heart failure associated with saxagliptin use in SAVOR-TIMI.1. Scirica BM, et al. N Engl J Med. 2013;369:1317–1326. 2. White WB, et al. N Engl J Med. 2013;369:1327–1335.
Summary: DPP-4 Inhibitor Cardiovascular Outcomes Trials
● All trials met the primary goal of demonstrating that there is no increased risk of CVD
No benefit is apparent
Cannot assume that this is a class effect
There may be heterogeneity with respect to heart failure
● These large trials have been useful for evaluating other potentially beneficial effects of the drugs
Decreased rates of albuminuria
● More precise estimates of the risk of other rare events
Outline
Overview of new classes of diabetes drugs
Rationale for CVOTs in diabetes
Cardiovascular safety of new diabetes drugs: evidence to date Thiazolidinediones
DPP-4 Inhibitors
SGLT-2 Inhibitors
GLP-1 Receptor Agonists
Insulin
Implications of CVOTs for clinical practice
Zinman B,. N Engl J Med. 2015 Nov 26;373(22):2117-28
EMPA-REG Outcomes Trial: Design
Randomised and treated
(n=7020)
Empagliflozin 10 mg(n=2345)
Empagliflozin 25 mg (n=2342)
Placebo (n=2333)
Screening(n=11531)
Key inclusion criteria:• Adults with type 2 diabetes• BMI < 45 kg/m2
• HbA1c 7-10%• Established cardiovascular disease
Key exclusion criteria:• eGFR < 30 mg/min/1.73 m2 (MDRD)
Median treatment duration = 2.6 years
Zinman B,. N Engl J Med. 2015 Nov 26;373(22):2117-28
EMPA-REG Outcomes Trial: Main Results
aCumulative incidence of death from cardiovascular causes, nonfatal myocardial infarction, or nonfatal stroke.N=7020 patients with T2DM at high risk of cardiovascular events.Zinman B, et al. N Engl J Med. 2015;373(22):2117-2128.
Patie
nts W
ith
Even
t, %
Empagliflozin
P=0.04 for superiorityHazard ratio, 0.86 (95.02% CI, 0.74–0.99)
Placebo20
15
5
10
00 126 18 24 30 36 42 48
Cumulative Incidence of the Primary Outcomea
Patie
nts W
ith
Even
t, %
Empagliflozin
P<0.001Hazard ratio, 0.62 (95% CI, 0.49–0.77)
Placebo9
3
6
00 126 18 24 30 36 42 48
Cumulative Incidence of Death From CV Causes
Patie
nts W
ith
Even
t, %
Empagliflozin
P=0.002Hazard ratio, 0.65 (95% CI, 0.50–0.85)
Placebo76
45
00 126 18 24 30 36 42 48
Month
Hospitalization for Heart Failure
321
Patients with event/analysedEmpagliflozin Placebo HR (95% CI) p-value
3-point MACE 490/4687 282/2333 0.86 (0.74, 0.99)* 0.0382
CV death 172/4687 137/2333 0.62 (0.49, 0.77) <0.0001
Non-fatal MI 213/4687 121/2333 0.87 (0.70, 1.09) 0.2189
Non-fatal stroke 150/4687 60/2333 1.24 (0.92, 1.67) 0.1638
EMPA-REG Outcomes Trial: CV Death, MI and Stroke
51
Favours empagliflozin Favours placeboCox regression analysis. MACE, Major Adverse Cardiovascular Event; HR, hazard ratio; CV, cardiovascular; MI, myocardial infarction*95.02% CI
Zinman B, et al. N Engl J Med. 2015;373(22):2117-2128.
EMPA-REG Outcomes Trial:Renal OutcomesEMPA-REG Outcomes Trial:Renal Outcomes
1. Zinman B, et al. N Engl J Med. 2015;373:2117-2128; 2. Barnett AH, et al. Lancet Diabetes Endocrinol. 2014;2:369-384.
Lower rates of acute renal failure and kidney injury (5.2% vs 6.6% and 1.0% vs 1.6%, respectively; P < .05 vs placebo)1
A1C reduction of –0.52% to –0.68% vs placebo in CKD stage 2-3 (eGFR ≥ 30 to < 90 mL/min/1.73m2), P < .00012
Equivalent adverse event rates as placebo in patients in CKD stage 2-32
Neal B et al. N Engl J Med. 2017 Jun 12.
Baseline Demographics and Disease History
Neal B et al. N Engl J Med. 2017 Jun 12.
CANVAS: Primary MACE Outcome
Neal B et al. N Engl J Med. 2017 Jun 12.
CANVAS: MACE Components and HF
56Neal B et al. N Engl J Med. 2017 Jun 12.
CANVAS: Renal Outcomes
Neal B et al. N Engl J Med. 2017 Jun 12.
CANVAS: Amputation Risk
Neal B et al. N Engl J Med. 2017 Jun 12.
Summary: SGLT-2 Inhibitor Cardiovascular Outcomes Trials● Both trials met the primary goal of demonstrating that there is
no increased risk of CVD
MACE benefit with both empagliflozin and canagliflozin
Heart failure benefit for both empagliflozin and canagliflozin
Mortality benefit with empagliflozin but not canagliflozin
● These large trials have been useful for evaluating other potentially beneficial effects of the drugs
Decreased rates of albuminuria
● More precise estimates of the risk of other rare events
Amputation and fracture risk with canagliflozin
Outline
Overview of new classes of diabetes drugs
Rationale for CVOTs in diabetes
Cardiovascular safety of new diabetes drugs: evidence to date Thiazolidinediones
DPP-4 Inhibitors
SGLT-2 Inhibitors
GLP-1 Receptor Agonists
Insulin
Implications of CVOTs for clinical practice
ELIXA Study: Lixisenatide vs. Placebo
Bentley-Lewis R et al. AHJ 2015; 169:631-638.e7; Results of ELIXA, oral presentation 3-CT-SY28. Presented at the American Diabetes Association 75th annual scientific sessions, Boston, 8 June 2015
Trial information • Multi-centre• Double-blind• Parallel-group• Event-driven• Randomised
Lixisenatide, 20 μg maximum dose
Placebo
203±1 weeks
End of treatment
Randomisation (1:1)
2 weeks1 week
Placebo
Run-in Titration
Lixisenatide10 μg
Placebo
Run-in period• Patients were trained in self-administration
of daily subcutaneous volume-matched placebo
Titration• Lixisenatide or matching placebo (1:1)
• Initial dose 10 μg/day• Down- or up-titration permitted to
maximum of 20 μg/day
• Glucose control was managed by site investigators’ judgement
6,068 subjects with T2DM and recent ACS event randomized to lixisenatide vs placebo
Time to first occurrence of the primary CV event: CV death, non-fatal MI, non-fatal stroke or hospitalisation for unstable angina1
ELIXA Study: Primary Composite Endpoint
CV, cardiovascular; MI, myocardial infarction1. Clinicaltrials.gov. Available at https://clinicaltrials.gov/ct2/show/NCT01147250. Accessed May 2015Results of ELIXA, oral presentation 3-CT-SY28. Presented at the American Diabetes Association 75th annual scientific sessions, Boston, 8 June 2015
Patie
nts
with
eve
nt (%
)
0
0 12 24 36
5
10
15
20
Lixisenatide: 406/3034 = 13.4%Placebo: 399/3034 = 13.2%
HR=1.02 (0.89, 1.17)
Months
30343034
27592785
15661558
476484
Number at riskPlacebo
Lixisenatide
ELIXA Study: Lixisenatide vs Placebo
Outcome Lixisenatide n=3034
Placebo n=3034
HR (95% CI)
Primary outcome (CV death, nonfatal MI, nonfatal stroke, or hospitalization for UA)
13.4% 13.2% 1.02 (0.89–1.17)
Primary outcome plus hospitalization for HF 15% 15.5% 0.97 (0.85–1.10)
Hospitalization for HF 4.0% 4.2% 0.96 (0.75–1.23)
All-cause mortality – – 0.94 (0.78–1.13)
ELIXA = Evaluation of Lixisenatide in Acute Coronary Syndrome; ACS = acute coronary syndrome; UA = unstable angina; HF = heart failure.
Trial data presented by Pfeffer, MA et al, ADA Scientific Sessions, June 8 2015, Boston Patients followed for a mean of 2.1 years
LEADER: Liraglutide vs. Placebo Cardiovascular Outcomes Trial
RANDOMISATION
(1:1)
Key inclusion criteria
Adult T2D patients:• HbA1c 7.0%• Antidiabetic drug naïve; or• Treated with one or more OADs;
or• Treated with basal or premix
insulin (alone or in combination with OADs)
• High-risk CV profile
N=9340 Standard of care + liraglutide
(0.6–1.8 mg once daily)
Standard of care + placebo*
3.5–5 year follow-up
Placebo* run-in period of ≥2 weeks
Patients demonstrating ≥50% adherence to
regimen and willingnessto continue with injection protocol for duration of
trial proceeded to randomisation
Marso et al. Am Heart J 2013;166:823–30.e5
*Daily single-blind subcutaneous injection of placeboCV, cardiovascular; OAD, oral antidiabetic drug; T2D, type 2 diabetes
LEADER: Primary and Secondary Outcomes with Liraglutide
aComposite of death from cardiovascular causes, nonfatal myocardial infarction, or nonfatal stroke.N=9340 patients with T2DM and high cardiovascular risk.Marso SP, et al. N Engl J Med. 2016 June 13 [Epub ahead of print].
Months Since Randomization
Patie
nts W
ith E
vent
,%
Liraglutide
Placebo
Hazard ratio, 0.87 (95% CI, 0.78–0.97)P<0.001 for noninferiorityP=0.01 for superiority
20
15
5
10
00 126 18 24 30 36 42 54
Primary Outcomea
48
Hazard ratio, 0.78 (95% CI, 0.66–0.93)P=0.007
0 126 18 24 30 36 42 54
Cardiovascular-Related Death
48
Liraglutide
Placebo
Hazard ratio, 0.85 (95% CI, 0.74–0.97)P=0.02
0 126 18 24 30 36 42 54
Death From Any Cause
48
Liraglutide
Placebo
20
15
5
10
0
20
15
5
10
0
LEADER: Time to First Renal Event
The cumulative incidences were estimated with the use of the Kaplan–Meier method, and the hazard ratios with the use of the Cox proportional-hazard regression model. The data analyses are truncated at 54 months, because less than 10% of the patients had an observation time beyond 54 months. CI: confidence interval; ESRD: end-stage renal disease; HR: hazard ratio.
Presented at the American Diabetes Association 76th Scientific Sessions, Session 3-CT-SY24. June 13 2016, New Orleans, LA, USA.
Macroalbuminuria, doubling of serum creatinine, ESRD, renal death
SUSTAIN 6: Primary and Secondary Outcomes With Semaglutide
Marso et al. NEJM, Oct 2016
Top-line Results from Exscel and Freedom-CVO
Summary: GLP-1 Receptor Agonist Cardiovascular Outcomes Trials
● All trials met the primary goal of demonstrating that there is no increased risk of CVD
● LEADER (liraglutide) and SUSTAIN 6 (semaglutide) demonstrated a benefit on MACE and mortality (liraglutide)
● ELIXA (lixisenatide), EXSCEL (exenatide) and FREEDOM (exenatide) did not demonstrate a CV benefit
● These large trials have been useful for evaluating other potentially beneficial effects of the drugs
Decreased rates of albuminuria
● More precise estimates of the risk of other rare events
No increased rate of pancreatitis
Outline
Overview of new classes of diabetes drugs
Rationale for CVOTs in diabetes
Cardiovascular safety of new diabetes drugs: evidence to date Thiazolidinediones
DPP-4 Inhibitors
SGLT-2 Inhibitors
GLP-1 Receptor Agonists
Insulin
Implications of CVOTs for clinical practice
DEVOTE: Trial Design
Insulin degludec once daily (blinded vial) +Standard of care
IGlar U100 once daily (blinded vial) +Standard of care
Randomization
7637 patients
randomized
End of treatment
(633 MACE accrued)
Follow-up period
30 days
Follow-up period
Secondary endpoints • Rate of severe hypoglycemic episodes*‡
• Incidence of severe hypoglycemic episodes*‡
Primary endpoint Time from randomization to first occurrence of a 3-point MACE: cardiovascular death*†, non-fatal myocardial infarction* or non-fatal stroke*
Interim analysis(150 MACE accrued)
Marso S. et al. NEJM, June14, 2017
Insulin degludec IGlar U100Type of insulin
New generation long-acting basal insulin analog
First generation basal insulin analog
Mode of protraction
Forms soluble multihexamers
Precipitates as microcrystals
Half life ~25 hours ~12 hours
Day-to-dayvariability (AUCGIR,0–24h)
Coefficient of variation 20% Coefficient of variation 80%
Study Drugs
AUCGIR, area under the curve for glucose infusion rate; IGlar U100, insulin glargine U100Insulin glargine image data on file; Jonassen et al. Pharm Res. 2012;29:2104–14; Heise et al. Expert Opin Drug Metab Toxicol 2015;11:1193–201; Heise et al. Diabetes Obes Metab 2012;14:859–64
0
2
4
6
8
10
12
0 3 6 9 12 15 18 21 24 27 30
DEVOTE: Time to First 3-point MACE
Full analysis set; Cox regression analysis accounting for treatment. Analysis includes events between randomization date and follow-up date. Patients without an event are censored at the time of last contact (phone or visit)EAC, Event Adjudication Committee; N, number of patients at risk; PYO, patient-years of observation
HR: 0.91[0.78; 1.06]95% CI
Non-inferiority confirmedp<0.001
Patie
nts
with
an
even
t (%
)
Insulin degludec (N) 3818 3765 3721 3699 3611 3563 3504 2851 1767 811 217IGlar U100 (N) 3819 3758 3703 3655 3595 3530 3472 2832 1742 811 205
Time to first EAC-confirmed event (months)
IGlar U100Insulin degludec
356 patients
325 patients
Rate:4.71/100 PYO
Rate:4.29/100 PYO
Marso S. et al. NEJM, June14, 2017
● Glycemic control (insulin degludec vs. IGlar U100):
End of treatment mean HbA1c values 7.55% vs. 7.50%
Change in FPG levels -39.9 mg/dL vs. -34.9 mg/dL
● 27% fewer patients experienced severe hypoglycemia
with insulin degludec
● 40% rate reduction of severe hypoglycemia
● 53% rate reduction of nocturnal severe hypoglycemia
DEVOTE: Glycemic Control and Severe Hypoglycemia
Outline
Overview of new classes of diabetes drugs
Rationale for CVOTs in diabetes
Cardiovascular safety of new diabetes drugs: evidence to date Thiazolidinediones
DPP-4 Inhibitors
SGLT-2 Inhibitors
GLP-1 Receptor Agonists
Insulin
Implications of CVOTs for clinical practice
Putting the Mortality Rates From EMPA-REG and LEADER into Perspective
ACE, acetylcholinesterase; ARB, Angiotensin II Receptor Blocker; HF, heart failure; MRA, Mineralocorticoid receptor antagonistaSOLVD Treatment; bCHARM Alternative; cCOPERNICUS and MERIT-HF; dRALES and EMPHASIS-HF, ePARADIGM, fEMPA-REG OUTCOME, gLEADERFitchett DH et al. Eur J Heart Fail 2016;doi: 10.1002/ejhf.633
-40%
-30%
-20%
-10%
0%ARB ACE inhibitor Beta blocker MRA
ARB +Neprilysininhibitor Empagliflozin Liraglutide
% D
ecre
ase
in m
orta
lity
Study duration (months)
38 41 10-12 21-24 27 36 46
a b c d
e
f g
Considerations for Selecting Therapies
● Current HbA1c and magnitude of reduction needed to reach goal
● Potential effects on body weight and BMI
● Potential for hypoglycemia – age, lack of awareness of hypoglycemia, disordered eating habits
● Effects on CVD risk factors – blood pressure and blood lipids
● Comorbidities – CAD, heart failure, CKD, liver dysfunction
● Patient factors – adherence to medications and lifestyle changes, preference for oral vs injected therapy, economic considerations
Inzucchi et al. Diabetes Care 2012; 35:1364‐79.
How Do Comorbidities Affect Anti-Hyperglycemic Therapy in T2DM?
Coronary Disease
Heart Failure
Renal Disease
Liver Dysfunct
ion
Hypo-glycemia
Metformin: CVD benefit (UKPDS)
Avoid hypoglycemia
? SUs & ischemic precondition‐ing
? Pioglitazone & CVD events
Liraglutide Empagliflozin,
Canagliflozin
Metformin: May use unless condition is unstable or severe
Avoid TZDs Avoid
saxagliptin Empagliflozin,
Canagliflozin
↑ risk of hypoglycemia
Metformin & lactic acidosis US: half‐dose @GFR < 45 &stop @GFR < 30
Caution with SUs
DPP4‐Is – dose adjust for most
Avoid exenatide if GFR < 30
SGLT‐2i
Most drugs not tested in advanced liver disease
Pioglitazone may help steatosis
Insulin best option if disease severe
Emerging concernsregardingassociation with increasedmorbidity / mortality
Proper drug selection is key in hypoglycemia prone
DPP‐4i, GLP‐1 RA, SGLT‐2i
Degludec
ADA Glycemic Treatment Recommendations for T2DM
DPP-4i, dipeptidyl peptidase-4 inhibitor; fxs, fractures; GI, gastrointestinal; GLP-1 RA, glucagon-like peptide-1 receptor agonist; GU, genitourinary; HbA1c, glycosylated hemoglobin; HF, heart failure; SU, sulfonylurea; SGLT2-i, sodium-glucose co-transporter 2 inhibitor; TZD, thiazolidinedione. American Diabetes Association. Diabetes Care 2016;39(Suppl. 1):S52-S59.
Healthy eating, weight control, increased physical activity, diabetes education
Not at target HbA1c after ~3 months
Dual therapy
Triple therapy
Combination injectable therapy
Monotherapy
Not at target HbA1c after ~3 months
GLP-1 RASGLT2iDPP-4iTZDSU Insulin (basal)
Metformin
SUTZD
Insulin
SUTZD
DPP-4iInsulin
SUTZD
SGLT2iInsulin
SUDPP-4iSGLT2i
GLP-1 RAInsulin
TZDDPP-4iSGLT2i
GLP-1 RAInsulin
TZDDPP-4iSGLT2i
GLP-1 RA
Metformin + basal insulin + mealtime insulin or GLP-1 RA
Metformin +
+ + + + + +
or
Metformin +SU +
Metformin +TZD +
Metformin +DPP-4i +
or or oror
or
Metformin +SGLT2i +
Metformin +GLP-1 RA +
Metformin +Insulin (basal) +
Not at target HbA1c after ~3 months*
ADA Glycemic Treatment Recommendations for T2DM 2017
Summary
Completed long-term CV safety trials have demonstrated no increased risk of CV events associated with newer antihyperglycemic agents
DPP-4 inhibitors not associated with an increased overall risk
Investigation continues to identify mechanisms and/or factors that may explain the potential for increased HF risk with some DPP-4 inhibitors
The LEADER trial (liraglutide) and SUSTAIN-6 trial (semaglutide) demonstrated some CV benefit, whereas ELIXA (lixisenatide) EXSCEL and FREEDOM (exenatide) did not
The EMPA-REG Outcomes Trial (empagliflozin) and CANVAS (canagliflozin) demonstrated a CV benefit, decreased mortality (empagliflozin) and less heart failure hospitalizations
Label recently updated to reflect this
Guidelines are evolving rapidly to reflect the new evidence