Cardiovascular disease (CVD) is one of the most common diabetes-associated complications, as well as a leading cause for death in type 2 diabetes patients (T2D). Despite the well-known correlation between the two, up until the 2008 FDA industry guidance for licensing of new anti-hyperglycemic drugs, which required an investigation of cardiovascular outcomes (CVO) of glucose-lowering agents, only a few studies had looked into the relationship between glucose lowering drugs and cardiovascular (CV) risk. Thereafter, CVOT design has focused on non-inferiority short-term studies on high-risk patient populations aiming at capturing CV safety issues. Despite the wealth of information and useful data provided by CVOTs, this approach still suffers from certain limitations. The present review will condense the main results of the most recently completed CVOTs, reflect on the lessons learned, discuss on the issues presented by current CVOT design and offer some suggestions for improvement.
Abkürzungen
CVOT
cardiovascular outcome trial
CV
cardiovascular
CVD
cardiovascular disease
T2D
type 2 diabetes
MI
myocardial infarction
CI
confidence interval
MACE
major adverse cardiovascular event
UA
unstable angina
HR
hazard ratio
EMA
European Medicine Agency
FDA
Federal Drug Agency
GLP-1
glucagon-like-peptide 1
SGLT-2
sodium–glucose cotransporter-2
DPP-4
dipeptidyl-peptidase-4
Background
Among diabetes-related complications, cardiovascular disease (CVD) stands as the leading cause for mortality and adverse outcomes in patients with type 2 diabetes (T2D). More than 60 % die from CVD while an even greater proportion suffer serious CV-associated complications [1]. T2D implies a two to fourfold increase in the risk of coronary heart disease and a decreased life expectancy (6–7 years less) in comparison with people without diabetes [2]. Despite this clear correlation between diabetes and negative CV outcomes, it is still not clear whether glycemic control per se would have any effect on reducing CVD risk in T2D [3‐6]. Moreover, CV safety of glucose-lowering drugs was not thoroughly investigated until the 2008 US Food and Drug Administration (FDA) [7] and subsequent European Medicines Agency (EMA) requirement [8] that all new therapies for diabetes undergo a rigorous assessment of CV safety through large-scale cardiovascular outcome trials (CVOT).
Before the publication of the FDA and EMA regulations, several trials assessing CV risks of glucose-lowering interventions had already been performed, if only with concerns in respect to design since they were aimed towards an improvement of glycemic control and outcome analysis [6]. For instance, in 1970 the first multicenter, head to head trial (University Group Diabetes Program) of T2D glucose-lowering treatments assessing CV outcomes was interrupted, as all oral drugs (tolbutamide, phenformin) seemed to increase CV risk in comparison to placebo or insulin [9‐11]. However, this trial was grossly underpowered and therefore results often contested. Later, the 1977 UKPDS trial randomized patients to either standard or intensive diabetes care with either insulin, sulphonylurea or metformin. After 10 years, there was a significant reduction of MI risk and all-cause mortality in the intensive therapy group with any of the three drugs. However, the reduction of CV-associated risk was greater with metformin (39 % MI, 36 % all-cause) than with insulin or sulphonylurea (15 % MI, 13 % all-cause) [12]. A later meta-analysis of randomized trials using metformin found highly diverse results in terms of mortality risk increase/reduction as well as possible CV deleterious effects of a metformin/sulphonylurea combination [13], which were found to be greatly diminished 10 years after the end of the study and no longer statistically significant [14].
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Other trials have found no differences in CV risk between glucose-lowering treatment interventions, as was the case for the HEART2D [15] trial, which compared basal and prandial insulin treatment strategies or the BARI 2D [16] trial, that compared insulin-sensitizing and insulin-providing treatment strategies in patients with T2D and CVD. However, the HEART2D trial was clearly underpowered, and a post hoc analysis seems to suggest a positive effect of controlling postprandial hyperglycemia in some subgroups of subjects, like older patients [17, 18]. The more recent ORIGIN trial, [19] which randomized patients with prediabetes and T2D patients with CVD risk factors to either insulin glargine or standard glucose control did also not find any differences to the primary CV outcome between treatment groups.
Several compounds have been suggested to increase CV risk in diabetes. For instance, several inter-related meta-analyses infer that rosiglitazone might raise MI and heart failure (HF) risk [20, 21]. Despite the RECORD trial [22, 23] only showed an excess HF risk without any conclusive results on MI, a meta-analysis including RECORD data still concludes that the high risk/benefit ratio of rosiglitazone does not support its use for diabetes treatment [21, 24]. The PROactive trial [25] on the CV safety of the addition to usual care of pioglitazone versus placebo found a slight trend toward a combined primary CV end-point—CVD and interventions in all vascular beds reduction—(10 % reduction, p = 0.095) and a significant 16 % reduction in the secondary end-point (MI, stroke, all-cause mortality). However, increased HF rates and a number of severe associated adverse events have hindered its use in daily practice [26, 27].
The requirements for CVOTs described in the aforementioned 2008 FDA guideline include, among others [28]:
For outcome clinical trials, in order to exclude unacceptable CV risk, a two-sided 95 % CI upper boundary of 1.8 risk ratio (pre-approval) and/or 1.3 risk ratio (post-approval) for major adverse events (MACE) versus control group is required.
To satisfy the new statistical requirements, CV event analysis might include a meta-analysis of all placebo-controlled, add-on (drug vs. placebo, plus standard therapy) and active-controlled trials, and/or an additional single, large, safety CVOT can be conducted. This, alone or in addition to other trials, needs to satisfy the upper bound mentioned above before approval.
Patient selection should focus on high-risk populations, including those with advanced disease, elderly and those with renal impairment.
Trials must include at least 2 years of CV safety data.
A prospective independent adjudication of CV events in phase 2 and 3 studies must also be performed. These CV events include CV mortality, myocardial infarction (MI) and stroke, and possibly hospitalization for ACS, urgent revascularization and other end-points.
Figure 1 includes a representation of possible scenarios for approval of new glucose lowering drugs depending on the hazard ratios (HR) for CV risk. An upper bound of the two-sided 95 percent confidence interval for the estimated increased risk above the non-inferiority boundary of 1.3 as well as underpowered studies prevents FDA approval. Surely, the need for full compliance with FDA/EMA requirements on CV safety for approval of new glucose lowering drugs has implied a significant increase of CVOTs in the last decade [28].
Fig. 1
Confidence interval (CI) bars indicated by FDA guideline. Shown are five examples of hazard ratios (HR) and the upper limit of the 95 % CI of a development plan and regulatory consequences of each outcome. S superiority, NI non-inferiority, I inferiority, UP underpowered
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Results from early trials evaluating CV outcomes under glucose-lowering therapies could not ascertain a clear relationship between HbA1c target levels, hypoglycemia incidence and CV risk, despite a tendency for intense glucose control being beneficial in the long-term [6, 29‐39]. Therefore, to avoid confounding results derived from glycemic values and the drugs themselves, CVOTs started after the 2008 FDA/EMA regulation have focused on maintaining glycemic equipoise, generally in the context of standard diabetes care [40].
In the present review, we will summarize the latest results of CVOTs on glucose-lowering agents started after the 2008 FDA Guideline as well as present an outline of ongoing CVOTs. Furthermore, we will review their influence on present glucose lowering therapy decision-making as well as comment on CVOT design limitations and potential venues for improvement.
Summary of results of recently completed CVOTs
Since the FDA and EMA guidance request for CV safety for new antihyperglycemic drugs, over 15 medium/long-term CVOT have been initiated (see Table 1). From those, results for seven are already available while the remaining will be due by 2020 latest. In comparison to clinical trials on anti-hyperglycemic drugs performed prior to 2008, patient numbers have considerably increased (more than five times on average). So has the average number of countries per trial (1.6 times average), helping produce wider range data on other ethnic groups as well as in practice variation [6, 41, 42], while follow-up time remains on an average of 2.5 years [43‐50].
Table 1
Basic characteristics of CVOTs started after 2008 FDA regulation
Study status
Drug
Drug class
Intervention
Primary Outcome
N
Follow-up (years)
Start and estimated end date
Clinicaltrials.gov ID
SAVOR-TIMI53
Completed
Saxagliptin
DPP-4 inhibitor
Addition of saxagliptin vs. placebo to usual diabetes care
CV death, MI, or stroke
18,206
2.1
05.2010–05.2013
NCT01107886
EXAMINE
Completed
Alogliptin
DPP-4 inhibitor
Addition of alogliptin vs. placebo to usual diabetes care
CV death, MI, or stroke
5380
1.5
10.2009–06.2013
NCT00968708
TECOS
Completed
Sitagliptin
DPP-4 inhibitor
Sitagliptin vs. placebo
CV death, MI, UA, or stroke
14,724
3
12.2008–03.2015
NCT00790205
ELIXA
Completed
Lixisenatide
GLP-1 inhibitor
Lixisenatide vs. placebo
CV death, MI, UA, or stroke
6076
2.1
06.2010–02.2015
NCT01147250
EMPA-REG OUTCOME
Completed
Empagliflozin
SGLT-2 inhibitor
Empagliflozin 10 mg vs. empagliflozin 25 mg vs. placebo
CV death, MI, or stroke
7000
3.1
07.2010–04.2015
NCT01131676
LEADER
Completed
Liraglutide
GLP-1 inhibitor
Liraglutide vs. placebo
CV death, MI, or stroke
9340
3.8
08.2010–12.2015
NCT01179048
SUSTAIN-6
Completed
Semaglutide
GLP-1 inhibitor
Semaglutide 0.5 mg vs. semaglutide 1.0 mg vs. placebo
CV death, MI, or stroke
3299
1.99
02.2013–01.2016
NCT01720446
EXSCEL
Ongoing, not recruiting
Exenatide
GLP-1 inhibitor
Exenatide once weekly vs. placebo
CV death, MI, or stroke
14,000
06.2010–04.2018
NCT01144338
CAROLINA
Ongoing, not recruiting
Linagliptin
DPP-4 inhibitor
Liraglutide vs. placebo
CV death, MI, UA, or stroke
6000
10.2010–09.2018
NCT01243424
REWIND
Ongoing, not recruiting
Dulaglutide
GLP-1 inhibitor
Dulaglutide vs. placebo
CV death, MI, or stroke
9622
07.2011–01.2016
NCT01394952
ITCA650
Ongoing, not recruiting
Exenatide in DUROS
GLP-1 inhibitor
ITCA 650 (exenatide in DUROS) vs. placebo
CV death, MI, UA, or stroke
4000
03.2013–07.2018
NCT01455896
DECLARE-TIMI
Ongoing, not recruiting
Dapagliflozin
SGLT-2 inhibitor
Dapagliflozin 10 mg vs. placebo
CV death, MI, or stroke
17,276
01.2013–04.2019
NCT01730534
CARMELINA
Ongoing, not recruiting
Linagliptin
DPP-4 inhibitor
Linagliptin vs. placebo
CV death, MI, UA, or stroke
8000
07.2013–01.2018
NCT01897532
DEVOTE
Ongoing, not recruiting
Insulin degludec
Basal insulins
Insulin degludec vs. insulin glargine
CV death, MI, or stroke
7637
10.2013–09.2016
NCT01959529
MK-3102
Ongoing, not recruiting
MK-3102
DPP-4 inhibitor
MK-3102 vs. placebo
CV death, MI, UA, or stroke
4202
10.2012–12.2020
NCT01703208
Ertugliflozin trial
Ongoing, not recruiting
Ertugliflozin
SGLT-2 inhibitor
Ertugliflozin 5 mg vs. ertugliflozin 15 mg vs. placebo
CV death, MI, or stroke
3900
11.2013–06.2020
NCT01986881
TOSCA-IT
Ongoing, not recruiting
Pioglitazone
PPAR-γ agonists
Pioglitazone vs. sulfonylurea
Death, MI, stroke or coronary revascularisation
3371
09.2008–12.2018
NCT00700856
CANVAS
Ongoing, not recruiting
Canagliflozin
SGLT-2 inhibitor
Canagliflozin 100 mg vs. canagliflozin 300 mg vs. placebo
CV death, MI, UA, or stroke
4418
12.2009–06.2017
NCT01032629
Hereon we summarize the findings of all CVOTs started after the 2008 FDA guideline published to date, namely the SAVOR-TIMI, TECOS, ELIXA, EXAMINE, EMPA-REG OUTCOME, LEADER and SUSTAIN-6 trials [44‐52]. Despite the focus on high-risk patients (a requirement for CVOT design), which poses a problem for extrapolation of results to the general patient population, the criteria for patient selection varied from trial to trial. For instance, age requirements of EXAMINE and EMPA-REG OUTCOME included all patients over 18 years old, while in other trials minimum age ranged between 30 and 50 years old. Cardiovascular risk also differed in each trial. While for most a preexisting CVD or CVD risk factors were necessary for enrolment, in the EXAMINE and ELIXA trials only patients already recovering from an acute coronary syndrome (ACS) were included in the study. For a detailed view on patient selection criteria, see Table 2. Moreover, an important aspect of CVOTs is that the evaluation of CV safety of the new glucose lowering drugs takes place in the background of diabetes and CVD standard care. This poses an important difference with respect to early trials like the UKPDS, performed before modern blood pressure reducing drugs; statins and an active attitude to coronary revascularization were part of routine care. Therefore, in Table 3 we have summarized the baseline concomitant medication of patients enrolled in trials started after 2008.
Table 2
Characteristics of patients enrolled in CVOTs referred to in the text
Age
Diabetes type
HbA1c levels
Cardiovascular status
Prior antihyperglycemic treatment
BMI (kg/m2)
SAVOR-TIMI53
≥40
T2DM
≥6.5 %
CVD OR high CV risk
AHA
31.1
EXAMINE
≥18
T2DM
(6.5, 11.0 %)
ACS (15, 90) days before
AHA
28.7
TECOS
≥50
T2DM
(6.5, 11.0 %)
preexisting CVD
AHA
30.2
ELIXA
≥30
T2DM
≥7.0 %
ACS min. 180 days before
AHA
30.2
EMPA-REG OUTCOME
≥18
T2DM
(7.0, 10.0 %)
Preexisting CVD
Drug näive OR AHA
≤45
LEADER
≥50
T2DM
≥7.0 %
Preexisting CVD/cerebrovascular disease/vascular disease/renalORheart failure at ≥50 OR CV risk at ≥60
Drug näive OR AHA
32.5
SUSTAIN-6
≥50
T2DM
≥7.0 %
Preexisting CVD at ≥50 OR preCVD at ≥60
Drug näive OR AHA
31.1
EXSCEL
≥18
T2DM
(7.0, 10.0 %)
Specific AHA
CAROLINA
≥40 ≤85
T2DM
(6.5, 7.5–8.5 %)
CVD OR specified diabetes end-organ damage OR age ≥70 years OR ≥2 specified CV risk factors
≤45
REWIND
≥50
T2DM
≤9.5 %
Preexisting vascular disease OR ≥CV risk factors
AHA
ITCA650
≥40
T2DM
≥6.5 %
Preexisting coronary, cerebrovascular or peripheral artery disease
DECLARE-TIMI
≥40
T2DM
High risk CV events
CARMELINA
≥18
T2DM
(6.5, 10.0 %)
High risk CV events
Drug näive OR specific AHA
≤45
DEVOTE
≥50
T2DM
≤7.0 %
CVD OR renal disease OR ≥60 CV risk
Specific AHA
MK-3102
≥40
T2DM
(6.5, 10.0 %)
Preexisting vascular disease
Ertugliflozin trial
≥40
T2DM
(7.0, 10.5 %)
Preexisting vascular disease
Drug näive OR AHA
≥18
TOSCA-IT
≥50 ≤75
T2DM
(7.0, 9.0 %)
Specific AHA
20–45
CANVAS
≥40
T2DM
(7.0, 10.5 %)
Preexisting CVD OR high CV risk
Drug näive OR AHA
AHA anti-hyperglycemic agents
Table 3
Concomitant medication at baseline in CVOTs referred to in the text
Concomitant medication @baseline
Antihyperglycemic medication
N (%)
CV treatment
N (%)
Insulin
Metformin
Sulphonylurea
Aspirin
Statins
Antiplatelet/anticoagulant
Beta-blocker
ACEI/ARB
Other anti-hypertensives
SAVOR-TIMI53
6757 (40.9)
11,094 (67.4)
6332 (38.5)
12,390 (75.2)
12,892 (78.3)
13,386 (81.3)
10,117 (61.4)
12,935 (78.5)
6730 (40.9)
EXAMINE
1605 (29.8)
3562 (66.2)
2503 (69.9)
4881 (90.7)
4866 (90.4)
5232 (97.2)
4411 (81.9)
4411 (81.9)
1197 (22.2)
TECOS
3408 (23.2)
11,966 (81.6)
6645 (45.3)
11,518 (78.5)
11,719 (79.9)
3167 (21.7)
9322 (63.5)
11,555 (78.8)
4961 (33.8)
ELIXA
2292 (37.8)
3834 (63.2)
1863 (30.7)
5726 (94.4)
5621 (92.6)
480 (7.9)
5119 (84.4)
5151 (84.9)
1327 (21.9)
EMPA-REG OUTCOME
2394 (34)a
3933 (55.9)a
1383 (19.6)
5990 (85)
5387 (77)
–
4537 (64)
5651 (80)
2114 (30)
LEADER
3905 (41.8)a
7136 (76.4)
4721 (50)
6523 (69.8)
6729 (72)
6322 (67.7)
5173 (55.4)
4761 (51)
920 (9.85)
SUSTAIN-6
1913 (58.0)
2414 (73.2)
1410 (42.8)
2108 (63.9)
2399 (72.8)
406 (12.3)
1894 (57.4)
1642 (49.8)
258 (7.8)
CAROLINA
–
4982 (82.5)
1728 (28.6)
3026 (50.1)
3872 (64.1)
–
2344 (38.8)
2664 (44.1)
1770 (29.3)
CANVAS
2171 (50.1)
3158 (72.9)
2032 (46.9)
3119 (72.0)
3073 (71.0)
aBoth mono and dual therapy
For clarity, results for each outcome will be split into distinct sections, starting by the primary composite end-point and then proceeding to each of the possible CV outcomes evaluated by these trials: MI, unstable angina (UA), CV death and HF. Finally, we will review a few other relevant safety end-points, namely: pancreatitis, hypoglycemia occurrence, and renal events/microvascular effects
Primary MACE composite end-point Diverse individual elements are included in the primary composite end-point for each CVOT, as shown in Table 1. However, CV death, myocardial infarction and stroke are all common elements to primary composite CVOT end-points. In addition, the TECOS and ELIXA trials included hospitalization for UA in the primary MACE. Corresponding data in Table 4 shows that for saxagliptin (SAVOR-TIMI), sitagliptin (TECOS), lixisenatide (ELIXA) and alogliptin (EXAMINE) treatment, occurrence of the primary composite end-point did not differ from placebo groups, thus confirming non-inferiority of the new treatments in CV safety under the particular conditions of each of the trials. In the EMPA-REG OUTCOME trial, however, the primary outcome occurred in 10.5 % in the pooled empagliflozin group and in 12.1 % of the placebo group (empagliflozin group (HR 0.86; 95 % CI 0.74–0.99; p = 0.04 for superiority), demonstrating therefore not only non-inferiority versus placebo but superiority [49]. A similar result was observed in LEADER, where the primary outcome occurred in significantly fewer patients in the liraglutide group than in the control group (13 vs. 14.9 %; HR 0.87; 95 % CI 0.78–0.97; p = 0.01 for superiority), but only for patients with established CVD (subgroup analysis) [51]. It is important to note, however, that both in LEADER and EMPA-REG OUTCOME, the lesser occurrence in the primary composite end-point was largely driven by a reduction in cardiovascular mortality. Results from the recently published SUSTAIN-6 trial have also shown superiority for semaglutide versus placebo in the primary composite outcome (6.6 vs. 8.9 % of patients, respectively; HR: 0.74, 95 % CI 0.58–0.95; p < 0.001), however, in contrast to EMPA-REG OUTCOME and LEADER, results were not driven by a decrease of risk of cardiovascular death, but of non-fatal stroke occurrence (in 1.6 and 2.7 %, respectively (HR 0.61; 95 % CI 0.38–0.99; p = 0.04) [52].
Table 4
Comparison of outcome results from terminated CVOTs in comparison to placebo
Cardiovascular death In all terminated trials, treatment with the new agent did not increase CV death compared to placebo treatment. In addition, in the EMPA-REG OUTCOME and LEADER trials, the treatment group showed a reduced incidence of CV death in comparison to placebo [49, 51, 53, 54].
Fatal/non-fatal myocardial infarction An important CV outcome to measure given the increased MI risk implied by diabetes [55], therefore its inclusion in all primary composite MACE end-points. Data from the six trials published to date has shown that all glucose-lowering treatments tested are non-inferior to placebo when it comes to MI. For a more detailed comparison of hazard rates, see Table 4.
Stroke In general, the third basic element of primary composite MACE end-points. So far, considering the published results of the aforementioned six trials, none of the new glucose-lowering drugs tested increases stroke occurrence in comparison to placebo. However, in EMPA-REG OUTCOME a trend towards an increased stroke incidence was reported [49]. Conversely to EMPA-REG OUTCOME, in SUSTAIN-6, a significant reduction of stroke rates was reported for patients under semaglutide in comparison to the placebo group [52]. For more data on hazard rates, see Table 4.
Hospitalization for UA The importance of this end-point varied among trials. While TECOS and ELIXA included UA in their primary end-points; and SAVOR-TIMI, EMPA-REG OUTCOME and EXAMINE included it as part of the secondary composite end-point, LEADER and SUSTAIN-6 included it as part of an extended primary composite end-point. As it happened with MI or stroke risk, UA rates did not increase under any of the treatments investigated when compared to placebo. Extended information is available on Table 4.
Hospitalization for HF As shown in Table 4, rates of hospitalization for HF did not differ between placebo and treatment groups in the EXAMINE, TECOS, ELIXA or SUSTAIN-6 trials, and LEADER showed a non-significant decrease of hospitalization for HF in patients treated with liraglutide [51]. Yet, treatment with saxagliptin (SAVOR-TIMI) was found to increase hospitalization rates for HF (3.5 vs. 2.8 %; HR 1.27; 95 % CI 1.07–1.51; p = 0.007). This effect was independent of age, as confirmed by a later analysis on efficacy and safety in older patients [43]. Conversely, in EMPA-REG OUTCOME treatment with empagliflozin reduced the number of patients hospitalized for HF (2.8 vs. 4.5 %; HR 0.61; 95 % CI 0.47–0.79; p < 0.001) and improved other HF outcomes like the composite endpoint of CV death or hospitalization for HF (5.7 vs. 8.5 %; HR 0.66; 95 % CI 0.55–0.79; p < 0.001) [45, 53].
Serious hypoglycemic events As part of the serious adverse event report, the rate of serious hypoglycemic events suffered by patients under treatment with the new glucose lowering drugs was investigated. Even though rates were similar to placebo in all CVOTs, and major hyperglycemia events did not differ between saxagliptin (SAVOR-TIMI) treatment and placebo, hypoglycemia occurrence generally increased with saxagliptin in combination with sulphonylureas or insulin. This effect was consistent across all age ranges analyzed [43]. On the contrary, treatment with liraglutide reduced severe hypoglycemic events in comparison to placebo (rate ratio: 0.69; 95 % CI 0.51–0.93; p = 0.02), which might be due to a reduced need for insulin co-therapy [51]. In SUSTAIN-6, the rates of severe hypoglycemia did not significantly differ between the two semaglutide-dose treatment groups and placebo [semaglutide 0.5 mg and 1.0 mg 191 (23.1 %) and 178 (21.7 %), respectively], placebo 0.5 and 1.0 mg [177 (21.5 %) and 173 (21.0 %)] [52].
Pancreatic effects Regarding the possible association between incretin-based therapies and adverse pancreatic effects, CVOTs evaluated whether these new antihyperglycemic agents increased the risk for pancreatitis. Acute pancreatitis occurred slightly more often in the treatment groups than with placebo when employing saxagliptin (SAVOR-TIMI), sitagliptin (TECOS), alogliptin (EXAMINE) or lixisenatide (ELIXA), and even when no significant differences between groups could be found, a meta-analysis on trials on DPP-4 inhibitors showed a marginally higher risk of pancreatitis associated with DPP-4 treatment [56]. In LEADER and SUSTAIN-6, incidence of pancreatitis was lower, even if not statistically significant, in the intervention group than in the placebo group [51, 52].
Renal events and/or microvascular effects Definitions for renal events were different for each trial. While in the ELIXA and TECOS trials there is no specification of the type of renal events [44], in EXAMINE only initiation of dialysis is reported [47]. A broader renal end-point including doubling of creatinine level, initiation of dialysis, renal transplantation or creatinine >6.0 mg/dl was used in the SAVOR-TIMI trial [43]. Regardless of end-point definition, none of these trials found differences between treatment and placebo with respect to renal function. Moreover, a further examination of the EMPA-REG OUTCOME trial regarding renal outcomes, found that addition of empagliflozin to standard treatment was associated with a slower progression of kidney disease (empagliflozin HR 0.61; CI 95 % 0.53–0.70; p < 0.001) and lower rates of clinically relevant renal events than placebo [57]. In the LEADER trial, a composite renal and retinal microvascular outcome was investigated. The renal outcome involved the new onset of macroalbuminuria or the doubling of the serum creatinine level and an eGFR ≤45 ml/min/1.73 m2, the need for continuous renal-replacement therapy or death from renal disease. The incidence of the composite microvascular outcome was lower with liraglutide, mainly due to a significantly lower rate of nephropathy events (HR 0.78; 95 % CI 0.67–0.92; p = 0.003) [51]. In SUSTAIN-6, the investigated renal outcome was defined as new or worsening of nephropathy and consisted on persistent macroalbuminuria, persistent doubling of the serum creatinine level and eGFR ≤45 ml/min/1.73 m2, or the need for continuous renal-replacement therapy. Based on that definition, semaglutide treated patients had a significantly lower risk than placebo treated patients (3.8 vs. 6.1 %, respectively; HR 0.64; 95 % CI 0.46–0.88; p = 0.005). Conversely, and somehow unexpectedly, retinopathy-derived complications (blindness, vitreous hemorrhage, or conditions requiring treatment with an intravitreal agent or photocoagulation) were significantly more often reported in the treatment group as in the placebo (3.0 vs. 1.8 %, respectively; HR 1.76; 95 % CI 1.11–2.78; p = 0.02) [52].
In general, the previous analysis shows that new glucose lowering drugs comply with FDA/EMA requirements for CV safety regardless of class. Moreover, some of them like empagliflozin, liraglutide or semaglutide even demonstrated beneficial effects over CV death risk, stroke and/or HF risk [49, 51‐53].
Discussion
CVOT trials completed after 2008 showed that new glucose lowering agents like the DPP-4 inhibitors saxagliptin, alogliptin, and sitagliptin and the GLP-1 receptor agonist lixisenatide are safe with respect to CV outcomes in high CV risk patient populations with long T2D duration (for more details on patient selection, see Table 2) under standard care for both CVD and diabetes. In addition, the LEADER study has shown that liraglutide, a GLP-1 receptor agonist, is not only safe but that is also capable of reducing CV risk and the incidence of cardiovascular-related death [51]. Furthermore, recently published results from SUSTAIN-6 have proven another GLP-1 receptor agonist, semaglutide, superior to placebo in reducing the risk of a cardiovascular composite primary end-point, driven by a significant reduction of stroke risk [52]. Moreover, treatment with the SGLT-2 inhibitor empagliflozin was not only non-inferior to placebo but also significantly reduced CV risk -as shown by the composite primary and secondary outcomes- and a composite outcome of HF hospitalization and CV death [53, 54].
Regardless of the CV safety of all anti-hyperglycemic agents tested, one trial on DPP-4 inhibitors, SAVOR-TIMI, found a significantly higher risk for HF in the treatment group and another, EXAMINE a trend towards such outcome. In contrast, there were no such concerns in the TECOS trial. Differences to baseline patient characteristics, as well as to trial design make it difficult to compare results from these trials. Moreover, the molecular structure differs among DPP-4 inhibitors and so does their safety profile. As a result, the FDA recently issued a safety warning on saxagliptin and alogliptin increasing the risk of heart failure, particularly in patients who already have heart or kidney disease [58]. Despite recent meta-analyses of randomized clinical trials including results of SAVOR-TIMI and EXAMINE suggested an increased risk of hospitalization due to HF in T2D patients [59‐62], others have found no difference in hospitalization rates for HF between treatment with saxagliptin compared with sitagliptin or with DPP-4 inhibitors compared with other classes of anti-diabetes agents [63, 64].
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The analyses of results of the aforementioned CVOTs have been very useful for treatment decision-making and patient safety in diabetes [65]. Not only were these trials capable of proving CV safety, but three of them, EMPA-REG OUTCOME, LEADER and SUSTAIN-6 showed cardiovascular benefits even when they were primarily designed for non-inferiority. However, it is important to note that these results are so far only valid for the particular patient groups enrolled in the studies, and that it is not clear how translatable they are to the general patient population. Furthermore, a comparison among results from CVOT is overall difficult, among other reasons because the definition of CVD risk and/or CVD is different for each trial, and with it the degree of severity of prior disease of enrolled patients highly variable. Other reasons limiting comparability among CVOTs, especially in terms of event rates, apart from the aforementioned differences in baseline patient characteristics, are the variable trial duration and the diverse definitions of the primary end-point. In addition, another obstacle for compared evaluation of trials evaluating cardiovascular outcomes before and after FDA 2008 regulation is that the routine care background from those trials is somehow dissimilar. In general, despite the great advance for the clinical practice meant by new CVOTs, there is still room for improvement [66, 67]. Trial design could still benefit from the introduction of new strategies to improve the applicability of trial results to daily clinical practice, as was agreed by the members of the first CVOT Summit of the Diabetes and CVD (D&CVD) EASD Study Group [68].
Among the recommendations stand the necessary consensus on primary end-point definition, which should be a 3-point MACE comprising cardiovascular death, non-fatal MI and non-fatal stroke. Another important point is that these cardiovascular outcomes differ greatly in their pathophysiology: while MI has a thrombotic origin [69], CV death results mostly from arrhythmia [70] and stroke can either be a product of thrombotic origin or hemorrhagic [71, 72]. These differences should be taken into account when designing and analyzing composite MACE end-points, because a positive/neutral effect in one of the components does not necessarily mean an improvement in the others, especially when considering their particular pathophysiology, as exemplified by the results of the various components of the primary composite end-point in EMPA-REG OUTCOME [49, 53]. Moreover, and especially regarding the disparate results on HF risk in DPP-4 inhibitor trials, HF risk should be investigated more closely by CVOTs [68, 73].
A major issue of CVOT design to date is patient selection criteria. Disease duration is a potential confounding factor that is not sufficiently controlled [74]. On the other hand, extrapolating CV results from this patient population to a broader one can be challenging, especially in case of superiority to placebo. To solve this matter, potential solutions could be: increasing patient retention/adherence to treatment over longer follow-up periods, promote large-scale patient enrolment by involving patient advocacy groups and modifying trial design to new approaches that minimize patient numbers and provide closer to real-world data in the standard health care system [6, 68].
Another limitation of the present CVOTs is that trial duration is too short to evaluate real-life, long-term outcomes [74], plus incurring in an unjustified high cost per patient given the limited results they provide. The extreme cost of CVOTs make them only accessible to industry and hinders an independent CV risk review [6]. To increase the amount of available data by enabling extensive follow-up and reduce trial related costs, an alternative would be to make use of comprehensive electronic health record databases with extended functionality [75, 76].
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Maintaining glycemic equipoise, by addition of the test agent to standard care, has resulted in general in modest HbA1c reductions, which combined with the short follow-up time of most studies, makes it hard to positively ascertain CV benefit of these glucose-lowering drugs [40]. On the other hand, maintaining glycemic equipoise but aiming to longer follow-up times might still result in CV improvement by incidental effects from these drugs other than glycemic control, as was the case in the EMPA-REG OUTCOME trial.
Most CVOTs started after the 2008 FDA/EMA guideline analyze drugs of the SGLT-2 inhibitor, DPP-4-inhibitor, or GLP-1 receptor agonist class. Even when the ORIGIN trial already focused on the evaluation of insulin gargline versus standard care [19], since the FDA mandate only one CVOT study is investigating CV risks of insulin treatment, the ongoing DEVOTE trial on insulin glargine versus insulin degludec. To date there is not a single CVO trial on metformin or sulphonylurea alone. Considering that metformin is a first line treatment for T2D [77] and that sulphonylurea and insulin are also very common therapeutic tools in diabetes [78], more CVOTs on these drugs are essential.
Furthermore, present CVOTs are usually simple, placebo controlled, non-inferiority trials and generally lacking of head to head comparisons. Exceptionally, the ongoing CAROLINA trial includes a head to head comparison of safety issues of linagliptin, a DPP-4 inhibitor, versus a sulphonylurea (glimepiride) [79]. In the future, trial design should be aimed at matching results of several different treatment versus a reduced placebo group and ideally, under usual care. This strategy will not only allow for a direct treatment comparison but also enable a better assessment of treatment heterogeneity and possible drug interactions in the real population under standard of care [6, 68]. This strategy was followed by a recently terminated cohort study comparing head to head CV safety of GLP-1 receptor agonists to DPP-4 inhibitors, sulfonylureas, or insulin in addition to metformin, in a similar fashion to real-world conditions [80].
Despite including analysis of adverse outcomes other than CV risks, in the future a more thorough examination of microvascular complications, renal, kidney and pancreatic effects as well as cancer occurrence should be an integral component of a CVOT design [68]. Already a number of trials have been designed with this concept in mind. For instance, an ongoing clinical trial (NCT02380521) examines the effect of exenatide once weekly, a GLP-1 receptor agonist, on several CV risk markers like subclinical atherosclerosis, endothelial dysfunction, oxidative stress and atherogenic lipoproteins, which are also indicative of potential microvascular complications [81]. The ongoing CARMELINA trial (NCT01897532) also aims to characterize renal microvascular outcomes of linagliptin (DPP-4 inhibitor) on T2D patients at high CV risk. Moreover, another ongoing trial (CANVAS-R), focuses on the renal outcomes of canagliflozin (a SGLT-2 inhibitor) treatment on T2D patients at risk for CVD [82].
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Conclusion
Since the 2008 FDA/EMA regulations demanded an investigation of CV outcomes for newly developed glucose-lowering agents, a number of CVOTs have been completed and their results published. These trials, in general, have shown that glucose-lowering drugs do not increase CV risks over placebo levels, and even that some drugs, as empagliflozin, semaglutide or liraglutide, can actually lead to cardiovascular protection. However, despite satisfying the requirements of regulatory agencies when it comes to demonstrating not incrementing CV risk beyond a certain safety level, current CVOTs suffer still from certain design flaws that hinder their potential. Head to head comparisons, broader patient population groups, long-term analysis and an expansion of safety end-points, etc. would serve to improve CVOT design and expand its applicability spectrum.
Authors’ contributions
OS was responsible for conception and design, drafting of the manuscript, and the final approval of the version to be published. ES, LR and AC contributed specialized input especially regarding their fields of expertise, and critically revised the manuscript. All authors read and approved the final manuscript.
Acknowledgements
We thank Dr. R. Garcia-Verdugo for her involvement in our scientific discussions, and support on manuscript edition and formatting.
Competing interests
L.R has been a member of advisory boards and/or speaker for AstraZeneca, Bayer, Boehringer-Ingelheim, Sanofi; and received research support from the Swedish Heart–Lung Foundation, Swedish Diabetes Foundation, Karolinska Institutet,Private Foundations, Stockholm County Council, Swedish Medical Assembly,Bayer and Boehringer-Ingelheim. E. S. has received lecturing honoraria and consultation fees from AstraZeneca, Bayer, Boehringer Ingelheim, Merck-Serono, MSD/Merck, Novartis, Sanofi. A.C. has been a member of advisory boards for Astra Zeneca, Bayer Healthcare, Boehringer Ingelheim, Bristol Myers Squibb, Danone, DOC Generici, Eli Lilly, Janssen, Medtronic, Merck Sharp & Dome, Novartis, Novo Nordisk, OM Pharma, Roche Diagnostics, Sanofi, Takeda and Unilever; has been a consultant for Bayer Pharma, Lifescan, Mendor, Novartis and Roche Diagnostics; given lectures for Astra Zeneca, Bayer Healthcare, Bayer Pharma, Boehringer Ingelheim, Bristol Myers Squibb, Eli Lilly, Merck Sharp & Dome, Mitsubishi, Novartis, Novo Nordisk, Nutricia, Sanofi, Servier and Takeda; and received research grants from Mitsubishi, Novartis and Novo Nordisk. O. S. has acted as member of advisory boards and/or given lectures under support from Abbott, Astra Zeneca, Bayer Healthcare, Boehringer-Ingelheim, Eli Lilly, Medtronic, Novartis, Roche Diagnostics, Sanofi; and is CEO and founder of Sciarc GmbH.
Availability of data and materials
Data sharing not applicable to this article as no datasets were generated during the current study.
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