Hintergrund und Ziele: Der Natrium-Glukose-Cotransport (SGLT2)-Inhibitor Dapagliflozin (DAPA) erhöht die Glukoseausscheidung mit dem Harn und verringert Hyperglykämie bei Typ-2-Diabetes, und zwar unabhängig von der Insulinsekretion oder -aktivität.
The aim of the study was to evaluate remission of type 2 diabetes following a short-term intervention with insulin glargine, sitagliptin/metformin, and lifestyle approaches.In this open multicenter trial, 102 patients with type 2 diabetes were randomized to 1) a 12-week intervention with sitagliptin/metformin, insulin glargine, and lifestyle therapy or 2) control group. Participants with HbA1c <7.3% (<56 mmol/mol) at 12 weeks were asked to stop diabetes medications and were followed for evidence of relapse over 52 weeks. Diabetes relapse criteria included HbA1c ≥6.5% (≥48 mmol/mol), ≥50% of capillary glucose readings >10 mmol/L over 1 week, and reinitiation of diabetes medications with or without abnormal fasting plasma glucose (FPG) or 2-h plasma glucose on an oral glucose tolerance test (OGTT). Time-to-relapse analysis was conducted to compare the treatment groups with (primary analysis) and without (supplementary analysis) FPG/OGTT relapse criteria.With the FPG/OGTT relapse criteria included, the hazard ratio (HR) of relapse was 0.72 (95% CI 0.47-1.10) in the intervention group compared with the control group (primary analysis), and the number of participants remaining in remission was not significantly different between treatment groups at 24, 36, 48, and 64 weeks. In the supplementary analyses without these criteria, HR of relapse was 0.60 (95% CI 0.39-0.95), and the number of participants remaining in remission was significantly higher (26 vs. 10%) in the intervention group at 36 weeks.Although our primary outcome was not statistically significant, the tested approach deserves further study with further optimization of its components.
Background: The incidence of type 2 diabetes is reaching pandemic proportions, impacting patients and healthcare systems across the globe. Evidence suggests that a majority of patients are not achieving recommended blood glucose targets resulting in an increased risk of micro- and macro-vascular complications. Aim: To review literature on the significance of glycosylated haemoglobin (HbA1c), fasting plasma glucose (FPG) and postprandial plasma glucose (PPG), their inter-relationships and relative importance in the treatment of diabetes, and to provide practical guidance on effective monitoring of patients. Methods: Clinical guidelines on diabetes management and clinical and preclinical studies of glycaemic control identified through a publications database search were reviewed. Results: Glycaemic control remains fundamental to the successful management of diabetes. HbA1c is the gold standard measure of glycaemic control but recent evidence suggests that postmeal hyperglycaemia also plays an important role in the aetiology of diabetes-associated complications and control of PPG levels is vital to the achievement of recommended HbA1c targets. Conclusions: The call for action on type 2 diabetes has never been more compelling; with a clear focus on strategies for glycaemic control, the impact of the diabetes pandemic can be limited.
Background: Dapagliflozin (DAPA) is a selective SGLT2 inhibitor shown to reduce hyperglycemia and weight in patients with type 2 diabetes mellitus (T2DM). DAPA has demonstrated efficacy as monother...
OBJECTIVE This study evaluated the long-term safety and efficacy of dapagliflozin as an adjunct to adjustable insulin in patients with type 1 diabetes and inadequate glycemic control. RESEARCH DESIGN AND METHODS DEPICT-1 (Dapagliflozin Evaluation in Patients With Inadequately Controlled Type 1 Diabetes) was a randomized (1:1:1), double-blind, placebo-controlled phase 3 study of dapagliflozin 5 mg and 10 mg in patients with type 1 diabetes (HbA1c 7.5–10.5% [58–91 mmol/mol]) (NCT02268214). The results of the 52-week study, consisting of the 24-week short-term and 28-week extension period, are reported here. RESULTS Of the 833 patients randomized into the study, 708 (85%) completed the 52-week study. Over 52 weeks, dapagliflozin 5 mg and 10 mg led to clinically significant reductions in HbA1c (difference vs. placebo [95% CI] −0.33% [−0.49, −0.17] [−3.6 mmol/mol (−5.4, −1.9)] and −0.36% [−0.53, −0.20] [−3.9 mmol/mol (−5.8, −2.2)], respectively) and body weight (difference vs. placebo [95% CI] −2.95% [−3.83, −2.06] and −4.54% [−5.40, −3.66], respectively). Serious adverse events were reported in 13.4%, 13.5%, and 11.5% of patients in the dapagliflozin 5 mg, 10 mg, and placebo groups, respectively. Although hypoglycemia events were comparable across treatment groups, more patients in the dapagliflozin groups had events adjudicated as definite diabetic ketoacidosis (DKA; 4.0%, 3.4%, and 1.9% in dapagliflozin 5 mg, 10 mg, and placebo groups, respectively). CONCLUSIONS Over 52 weeks, dapagliflozin led to improvements in glycemic control and weight loss in patients with type 1 diabetes, while increasing the risk of DKA.
Management of type 2 diabetes mellitus (T2DM), a progressive metabolic disorder associated with substantial cardiovascular (CV) and kidney complications, includes risk factor optimization of glucose, blood pressure (BP) and lipids. Although there may be minor differences between guidance, treatment targets recommended by international clinical practice guidelines include maintaining glycated haemoglobin (HbA1c) ≤7.0% (with individual adaptation), BP <130/80 mmHg and low-density lipoprotein cholesterol (LDL-C) <2 mmol/L (<77 mg/dl), along with an annual evaluation of urinary albumin/creatinine ratio (UACR) to assess CV and kidney risk.1-4 The sodium-glucose co-transporter 2 inhibitor class showed improvements in CV and kidney outcomes in patients with T2DM in CV outcome trials.3 Canagliflozin reduced the risk of CV outcomes, including major adverse CV events (MACE; CV death, non-fatal myocardial infarction and non-fatal stroke), a composite of hospitalization for heart failure (HHF) or CV death (HHF/CV death) and kidney outcomes in patients with T2DM and high CV risk [CANagliflozin cardioVascular Assessment Study (CANVAS) programme]5 and in patients with diabetic nephropathy [Canagliflozin and Renal Events in Diabetes with Established Nephropathy Clinical Evaluation (CREDENCE) trial].6 Consequently, treatment guidelines now recommend sodium-glucose co-transporter 2 inhibitors for reducing the risk of CV and kidney events in patients with T2DM.1-4 As patients have varying control over their CV risk factors, it is important to know whether the clinical benefits of canagliflozin extend across the spectrum of attained treatment targets. This post-hoc analysis assessed the effects of canagliflozin versus placebo on CV and kidney outcomes in patients with T2DM and high CV risk, and/or chronic kidney disease according to baseline treatment target achievement and risk factors. This post-hoc analysis is an integrated, pooled, patient-level, meta-analysis from the CANVAS programme and CREDENCE. The CANVAS programme comprised two multicentre, double-blind, placebo-controlled, randomized trials: CANVAS and CANVAS-R.5, 7 Eligible participants had T2DM (HbA1c ≥7.0% and ≤10.5%) and an estimated glomerular filtration rate (eGFR) >30 ml/min/1.73m2 and were either aged ≥30 years with a history of symptomatic atherosclerotic CV disease or aged ≥50 years with ≥2 CV disease risk factors.5, 7 CREDENCE included participants with T2DM (HbA1c ≥6.5% and ≤12.0%), an eGFR of 30 to <90 ml/min/1.73m2, and a UACR of >33.9 to ≤565.6 mg/mmol (>300 to ≤5000 mg/g).6, 8 Participants in all studies were randomized to canagliflozin or placebo. Participants had similar characteristics, with some differences related to inclusion criteria. In the CANVAS programme, 18% of participants had a history of nephropathy, ~20% had an eGFR <60 ml/min/1.73m2, and 70% had normoalbuminuria at baseline.5, 9 In contrast, all CREDENCE participants had advanced nephropathy at baseline.6 Lastly, 66% of CANVAS programme participants had established CV disease versus 50% in CREDENCE. This post-hoc analysis of the CANVAS programme and CREDENCE trial included participants who were randomized to canagliflozin or placebo and had values for all selected treatment targets.5, 6 Categorical variables are represented as percentages, and continuous variables are represented as mean (standard deviation) or median (interquartile range). The effects of canagliflozin versus placebo were examined for the time to the first occurrence of MACE, the composite of HHF/CV death, and the kidney composite of end-stage kidney disease (ESKD) or doubling of serum creatinine (dSCr). Patients were categorized by treatment target achievement and number of target levels achieved (0, 1, 2, and 3 or 4) at baseline. The targets were defined as: HbA1c ≤7.0%, LDL-C <2 mmol/L (<77 mg/dl), BP <130/80 mmHg, or UACR <2 mg/mmol (18 mg/g). Hazard ratios and 95% confidence intervals for each outcome were estimated using Cox regression models stratified by the achievement of treatment targets and, in separate models, by the number of targets achieved at baseline. Interaction p values were calculated by including the treatment group by achievement of treatment targets and treatment group by number of targets achieved at baseline in the model. A two-sided p < .05 for the interaction term was deemed probable to reflect a difference beyond chance. This post hoc analysis is not intended for inference, so no type 1 error adjustments were made. Thus, p values are descriptive only. Analyses were performed using SAS version 9.4 (SAS Institute). The pooled analysis included 14 543 participants from the CANVAS programme (n = 10 142) and CREDENCE trial (n = 4401), with mean (SD) baseline HbA1c of 8.3% (1.1), LDL-C of 2.4 (1.0) mmol/L [92.8 (38.7) mg/dl], and BP of 138/78 (16/10) mmHg, and median (range) baseline UACR of 3.8 (1.0–59.2) mg/mmol [33.6 (8.9–523.9) mg/g]. At baseline, 3683 (26%) participants had achieved no treatment targets, 5851 (41%) had achieved one, 3680 (25%) had achieved two, and 1218 (8%) had achieved three or four targets (Table 1). In addition, 8415 (58%) participants had a UACR >2 mg/mmol. Regardless of whether baseline targets were met or UACR was elevated, canagliflozin consistently reduced the risk of MACE, HHF/CV death, and ESKD/dSCr versus placebo (Figure 1). Among participants who experienced a CV event and did not achieve HbA1c, LDL-C or BP targets or a reduction in UACR, canagliflozin still reduced CV risk (all p interaction ≥.38). The beneficial effects of canagliflozin on ESKD/dSCr were observed irrespective of achievement of HbA1c, LDL-C and BP baseline targets (all p interaction ≥.45). Canagliflozin reduced kidney events similarly as to whether UACR was elevated (>2 mg/mmol), and reduced CV outcomes with elevated or normal UACR, at baseline. Furthermore, the number of uncontrolled targets at baseline did not impact the beneficial effect of canagliflozin on CV and kidney outcomes (all p interaction ≥.17; Figure S1). In this pooled analysis of the CANVAS programme and CREDENCE trial, participants with T2DM and high CV risk, and/or chronic kidney disease who were randomized to canagliflozin treatment showed consistent CV and kidney benefits versus placebo, regardless of whether T2DM-related or other CV-risk treatment targets were met at baseline. Our findings highlight the importance of canagliflozin's protective effect on key CV and kidney outcomes irrespective of baseline risk factor control. This is particularly important in outpatient clinical settings where, despite best efforts, patients with T2DM may only achieve partial composite target goals.10, 11 The DM-SCAN study, which included primary care physician surveys and chart data from adults with T2DM, showed that 50%, 57% and 36% of patients achieved target levels of HbA1c, LDL-C and BP, respectively, with only 13% achieving all three targets.10 Similarly, a low proportion of participants in the current analysis achieved the recommended treatment targets. Thus, our data show the benefits of canagliflozin for preventing cardiorenal complications in patients who have not yet achieved risk factor targets. Strengths of this study include the multicentre, randomized, controlled trial designs, which were conducted to a high standard and with many participants. CV and kidney outcomes were pre-specified and adjudicated by expert committees. This analysis also has inherent limitations applicable to any post-hoc analysis of a randomized trial. The CANVAS programme and CREDENCE trial were not designed specifically to test outcomes in these subgroups, nor were there adjustments for multiple baseline test comparators. Thus, our findings should be considered exploratory. In addition, generalizability of the results may be limited to individuals with previous CV events, high CV risk or nephropathy, similar to the patients enrolled in the CANVAS programme and CREDENCE trial. While control of CV and kidney risk factors in high-risk patients with T2DM is critical, this study showed that canagliflozin provides consistent CV and kidney benefits, regardless of whether treatment targets for these risk factors are met at baseline. MAT, SWT, WR, FGA, JS, BLN, CA, KWM and DCW contributed to the study design and data interpretation. AS performed the statistical analysis. MAT and VW drafted the manuscript, and the final version was critically revised and approved by all the authors. The CANVAS Program and CREDENCE trial were sponsored by Janssen Research & Development, LLC. This analysis was supported by Janssen Canada Inc. Medical writing support was provided by Kim Caldwell, PhD, of Lumanity Communications Inc., and was funded by Janssen, Inc. Canagliflozin was developed by Janssen Research & Development, LLC, in collaboration with Mitsubishi Tanabe Pharma Corporation. MAT has received speakers bureau and advisory board fees from AstraZeneca, Bayer, Boehringer Ingelheim, Eli Lilly, Janssen, Novo Nordisk and Sanofi Genzyme. VW has received honoraria for speaking, advisory boards, and clinical research from AstraZeneca, Boehringer Ingelheim, Eli Lilly, Janssen and Novo Nordisk. SWT has received a KMH Clinic unrestricted grant and in-kind support for the Zero to Five study paid to Sunnybrook Research Institute; has received consulting fees from AstraZeneca paid to Sunnybrook Research Institute; has received payment or honoraria for lectures from Amgen, AstraZeneca, Bayer, Boehringer Ingelheim, Bristol Myers Squibb, Eli Lilly, Janssen, Novartis, Novo Nordisk, Pfizer and Sanofi paid to the CHEP Plus education program; and has served as a volunteer for the American Hypertension Specialist Certification Program. AS is an employee of New Arch Consulting; and received funding from Janssen for this analysis. WR and FGA are employees of Janssen Inc. JS has received honoraria for talks and/or consultancy and/or research funding from Apitope, AstraZeneca, Bayer, Berlin Chemie, Boehringer Ingelheim, Bristol Myers Squibb, Eli Lilly, GI-Dynamics, GlaxoSmithKline, Intarcia, Ipsen, Janssen, LifeScan, MedScape, Merck Sharp & Dohme, Novartis, Novo Nordisk, Omniamed, Pfizer, Roche, Sanofi, Servier, Takeda and Ypsomed. BLN has received fees for travel support, advisory boards, scientific presentations, and steering committee roles from AstraZeneca, Bayer, Boehringer and Ingelheim, Cambridge Healthcare Research and Janssen, with all honoraria paid to his institution. CA has received honoraria from Amgen; has received support from an NHMRC/MRFF Priority Fellowship and an NSW Health EMC Grant; and is an employee of The George Institute for Global Health. KWM's financial disclosures can be viewed at http://med.stanford.edu/profiles/kenneth-mahaffey. DCW has received fees for advisory boards, committee work, educational activities, and scientific presentations form Amgen, Astellas, AstraZeneca (ongoing), Bayer, Boehringer Ingelheim, CSL Vifor, Gilead, GlaxoSmithKline, Janssen, Merck Sharp & Dohme, Mundipharma, Tricida, and Zydus. The data sharing policy of Janssen Pharmaceutical Companies of Johnson & Johnson is available at https://www.janssen.com/clinical-trials/transparency. As noted on this site, requests for access to the study data can be submitted through Yale Open Data Access (YODA) Project site at http://yoda.yale.edu. Figure S1. Effects of canagliflozin versus placebo on CV and kidney events by the number of T2DM treatment targets achieved at baseline. Please note: The publisher is not responsible for the content or functionality of any supporting information supplied by the authors. Any queries (other than missing content) should be directed to the corresponding author for the article.