Literature DB >> 27306615

Dapagliflozin reduces albuminuria over 2 years in patients with type 2 diabetes mellitus and renal impairment.

Paola Fioretto1, Bergur V Stefansson2, Eva Johnsson2, Valerie A Cain3, C David Sjöström2.   

Abstract

Entities:  

Keywords:  Albuminuria; Dapagliflozin; Renal impairment; SGLT2 inhibition; Type 2 diabetes

Mesh:

Substances:

Year:  2016        PMID: 27306615      PMCID: PMC4969341          DOI: 10.1007/s00125-016-4017-1

Source DB:  PubMed          Journal:  Diabetologia        ISSN: 0012-186X            Impact factor:   10.122


× No keyword cloud information.
To the Editor: There is a growing body of evidence that sodium-glucose co-transporter 2 (SGLT2) inhibition may confer a renoprotective effect. This beneficial renal effect is thought to be achieved by mechanisms associated with reduced glucose and sodium reabsorption in the proximal tubule leading to decreased intra-glomerular pressure through the tubuloglomerular feedback mechanism [1]. In addition, reduced glucose trafficking through the proximal tubular cells [2] may lead to decreased oxidative stress, inflammation and tubulointerstitial fibrosis. Limiting proximal tubular reabsorption and, thus, reducing hyperfiltration is an important therapeutic target, since glomerular hyperfiltration is a potential driver of renal disease progression in type 2 diabetes [1]. Furthermore, changes in albuminuria predict morbidity and mortality, as well as cardiovascular and renal outcomes in patients with type 2 diabetes [3], and a short-term beneficial effect of dapagliflozin on albumin excretion has been reported [4]. The efficacy and safety of dapagliflozin in 252 patients with type 2 diabetes and moderate renal impairment has previously been assessed in a paper by Kohan and colleagues [5] . We conducted a post hoc analysis of data from this study to examine the long-term effects of dapagliflozin on urinary albumin/creatinine ratio (UACR) in patients with UACR ≥3.4 mg/mmol (≥30 mg/g) at baseline. We also examined whether changes in UACR occur independently of sex and changes in HbA1c, BP, uric acid and estimated GFR (eGFR). Our post hoc analysis included 166 patients with stage 3 chronic kidney disease (CKD) and increased albuminuria (≥3.4 mg/mmol). Patients were randomised to dapagliflozin 10 mg (n = 56), dapagliflozin 5 mg (n = 53) or placebo (n = 57). Institutional review boards or independent ethics committees approved the protocol. Patients provided written informed consent. Percentage change in UACR (with/without adjustments for sex and changes in HbA1c, systolic and diastolic BP, uric acid and eGFR), overall adverse events (AEs), AEs of special interest (AEs of renal function and volume reduction based upon a predefined list of preferred terms) and changes in eGFR, HbA1c, body weight and BP were assessed up to Week 104 and included data after rescue. UACR was measured at each visit of the 104-week treatment period using standard, fasting, untimed (‘spot’) morning urine samples. All samples were handled using a central laboratory procedure (Quintiles Laboratories, www.quintiles.com). The analyses included all randomised patients with UACR ≥3.4 mg/mmol. Mean change from baseline value and 95% CI were derived using the longitudinal repeated measures mixed model with fixed terms for treatment, study week, strata (pre-enrolment anti-hyperglycaemic therapy was defined as: insulin [INS] ± another anti-hyperglycaemic medication or sulfonylurea [SU] ± anti-hyperglycaemic except INS or thiazolidinedione-based regimen except SU or INS or any anti-hyperglycaemic agent[s] not previously described or no background anti-hyperglycaemic medication) study week-by-treatment interaction as well as the fixed covariates of baseline and baseline-by-week interaction. The model also included an indicator variable to indicate if rescue had occurred at each visit. UACR values were log transformed (using the natural log) and then exponentiated back to the original scale. The shift in albuminuria status was assessed from baseline to Week 104. Adverse event data were summarised using descriptive statistics. All analyses for both safety and efficacy variables also included data from patients who had received glycaemic rescue therapy. Patients received open-label rescue therapy with an anti-hyperglycaemic agent (except metformin) if pre-defined rescue criteria were exceeded. Changes in antihypertensive medications were not controlled for in this study. Baseline characteristics were largely comparable across groups (electronic supplementary material [ESM] Table 1). Median (range) UACR was 20.2 (3.6–541.5), 44.9 (3.5–561.6) and 20.3 (3.4–1046.6) mg/mmol in the dapagliflozin 10 mg, 5 mg and placebo groups, respectively. Placebo-corrected UACR reductions (95% CI) of −57.2% (−77.1, −20.1) and −43.8% (−71.0, 9.0) occurred in the dapagliflozin 10 mg and 5 mg groups, respectively, at 104 weeks (Fig. 1a). UACR measurements were available for 29, 20 and 25 patients in the dapagliflozin 10 mg, 5 mg and placebo groups, respectively, at 104 weeks. After adjusting for sex and changes in BP, HbA1c, eGFR and uric acid, placebo-corrected reductions (95% CI) of −53.6% (−75.5, −12.1) and −47.4% (−73.7, 5.3) were observed in the dapagliflozin 10 mg and 5 mg, respectively (ESM Fig. 1), indicating that the renal effects of dapagliflozin were largely independent of changes in these variables.
Fig. 1

Adjusted mean changes (95% CI) in (a) UACR, (b) HbA1c, (c) body weight and (d) systolic BP, for dapagliflozin (DAPA) 10 mg, DAPA 5 mg and PBO, over 104 weeks. Mean change from baseline data (95% CI) were derived using the longitudinal repeated measures mixed model with fixed terms for treatment, study week, strata (pre-enrolment anti-hyperglycaemic therapy) study week-by-treatment interaction, as well as the fixed covariates of baseline and baseline-by-week interaction. The model also included an indicator variable to indicate if rescue had occurred at each visit. (a) Adjusted mean change in UACR at Week 104 for DAPA 10 mg: −43.9 (−64.3, −12.0); DAPA 5 mg: −26.4 (−55.0, 20.5) and PBO: 31.0 (−19.0, 111.9). (b) Adjusted mean change in HbA1c at Week 104 for DAPA 10 mg: −0.8 (−1.2, −0.4); DAPA 5 mg: −0.5 (−0.9, −0.1) and PBO: −0.4 (−0.8, 0.0). (c) Adjusted mean change in body weight at Week 104 for DAPA 10 mg: −1.6 (−3.5, 0.4); DAPA 5 mg: −1.0 (−2.9, 0.8) and PBO: 2.8 (0.8, 4.8). (d) Adjusted mean change in systolic BP at Week 104 for DAPA 10 mg: −7.6 (−13.3, −1.9); DAPA 5 mg: 0.1 (−6.6, 6.3) and PBO: 0.6 (−5.6, 6.9). Blue triangles, dapagliflozin 10 mg; red squares, dapagliflozin 5 mg; grey circles, placebo. BL, baseline; DAPA, dapagliflozin; PBO, placebo; SBP, systolic blood pressure

Adjusted mean changes (95% CI) in (a) UACR, (b) HbA1c, (c) body weight and (d) systolic BP, for dapagliflozin (DAPA) 10 mg, DAPA 5 mg and PBO, over 104 weeks. Mean change from baseline data (95% CI) were derived using the longitudinal repeated measures mixed model with fixed terms for treatment, study week, strata (pre-enrolment anti-hyperglycaemic therapy) study week-by-treatment interaction, as well as the fixed covariates of baseline and baseline-by-week interaction. The model also included an indicator variable to indicate if rescue had occurred at each visit. (a) Adjusted mean change in UACR at Week 104 for DAPA 10 mg: −43.9 (−64.3, −12.0); DAPA 5 mg: −26.4 (−55.0, 20.5) and PBO: 31.0 (−19.0, 111.9). (b) Adjusted mean change in HbA1c at Week 104 for DAPA 10 mg: −0.8 (−1.2, −0.4); DAPA 5 mg: −0.5 (−0.9, −0.1) and PBO: −0.4 (−0.8, 0.0). (c) Adjusted mean change in body weight at Week 104 for DAPA 10 mg: −1.6 (−3.5, 0.4); DAPA 5 mg: −1.0 (−2.9, 0.8) and PBO: 2.8 (0.8, 4.8). (d) Adjusted mean change in systolic BP at Week 104 for DAPA 10 mg: −7.6 (−13.3, −1.9); DAPA 5 mg: 0.1 (−6.6, 6.3) and PBO: 0.6 (−5.6, 6.9). Blue triangles, dapagliflozin 10 mg; red squares, dapagliflozin 5 mg; grey circles, placebo. BL, baseline; DAPA, dapagliflozin; PBO, placebo; SBP, systolic blood pressure Compared with placebo, more patients in the dapagliflozin 10 mg and 5 mg groups shifted to a lower UACR category (33.9 and 39.6%, respectively, vs 15.8% with placebo) and fewer progressed to a higher UACR category (14.7% and 4.3% respectively, vs 27.3% with placebo) (ESM Fig. 2). Overall, 17.8%, 18.9% and 7.0% of patients improved to normoalbuminuria status in the dapagliflozin 10 mg, 5 mg and placebo groups, respectively. There was an initial decrease in eGFR within the first 4 weeks of dapagliflozin therapy with no further decline over the 104 weeks, whereas the placebo-treated patients showed a gradual decline over the entire study period (ESM Fig. 3). Dapagliflozin 10 mg and 5 mg groups showed placebo-corrected HbA1c reductions (95% CI) of −0.43% (−0.95, 0.10) (−4.7 mmol/mol [−10.4, 1.1]) and −0.11% (−0.65, 0.42) (−1.2 mmol/mol [−7.1, 4.6]), respectively, at 104 weeks (Fig. 1b). Dapagliflozin 10 mg and 5 mg groups also showed placebo-corrected reductions (95% CI) of −3.9 kg (−6.4, −1.3) and −4.4 kg (−7.0, −1.8) in weight (Fig. 1c). Placebo-corrected reductions (95% CI) in systolic BP were numerically greater with dapagliflozin 10 mg (−8.3 mmHg [−16.2, −0.3]) vs dapagliflozin 5 mg (−0.8 mmHg [−9.2, 7.7]) (Fig. 1d). Placebo-corrected reductions (95% CI) in uric acid were −12.5 (−47.0, 22.0) and −35.1 (−70.8, 0.6) μmol/l in the dapagliflozin 10 mg and 5 mg groups, respectively (data not shown). Renal AEs were more common in the dapagliflozin 10 mg treated patients (10.7%) vs those on dapagliflozin 5 mg (1.9%) or placebo (3.5%); these events were mostly associated with increased creatinine (ESM Table 2). There was no increase in serious AEs of renal function in the dapagliflozin 10 mg and 5 mg groups (1.8% and 1.9%, respectively) vs placebo (1.8%) (ESM Table 2). AEs of volume reduction were balanced across groups (8.9%, 9.4% and 7.0% in the dapagliflozin 10 mg, 5 mg and placebo groups, respectively). One serious AE of volume reduction (syncope) was reported in the dapagliflozin 10 mg group. The most common AEs leading to discontinuation were related to hyperkalaemia, with a greater frequency noted with placebo vs dapagliflozin (ESM Table 2). A limitation of this analysis is that it is a post hoc analysis with a relatively small sample size. Nevertheless, reductions in albuminuria, along with an indication of a long-term delay in worsening eGFR suggest that dapagliflozin may have a favourable effect on preventing/delaying progression of renal disease. Moreover, recently published data have shown dapagliflozin-induced reductions in albuminuria at 12 weeks in patients receiving renin-angiotensin system blockade therapy [4]. This hypothesis is further supported by a recent empagliflozin trial, that showed significant improvements in hard renal outcomes in patients with type 2 diabetes, cardiovascular disease and various degrees of CKD [6]. In conclusion, dapagliflozin reduced UACR over two years in individuals with type 2 diabetes and stage 3 CKD, without increases in serious renal AEs. The efficacy and safety of dapagliflozin in individuals with type 2 diabetes, albuminuria and moderate renal impairment is being further evaluated in an ongoing study (NCT02547935). Other, long-term trials of SGLT2 inhibitors exploring renal endpoints (NCT01989754, NCT02065791, NCT01730534) are underway to help to further characterise their potential renal benefits in type 2 diabetes. Trial registration: ClinicalTrials.gov NCT00663260 Funding: This study was funded by AstraZeneca Below is the link to the electronic supplementary material. (PDF 165 kb)
  5 in total

Review 1.  Sodium/glucose cotransporter 2 inhibitors and prevention of diabetic nephropathy: targeting the renal tubule in diabetes.

Authors:  Luca De Nicola; Francis B Gabbai; Maria Elena Liberti; Adelia Sagliocca; Giuseppe Conte; Roberto Minutolo
Journal:  Am J Kidney Dis       Date:  2014-03-25       Impact factor: 8.860

Review 2.  Sodium glucose cotransporter 2 and the diabetic kidney.

Authors:  Muralikrishna Gangadharan Komala; Usha Panchapakesan; Carol Pollock; Amanda Mather
Journal:  Curr Opin Nephrol Hypertens       Date:  2013-01       Impact factor: 2.894

3.  Mortality and morbidity in relation to changes in albuminuria, glucose status and systolic blood pressure: an analysis of the ONTARGET and TRANSCEND studies.

Authors:  Roland E Schmieder; Rudolph Schutte; Helmut Schumacher; Michael Böhm; Giuseppe Mancia; Michael A Weber; Matthew McQueen; Koon Teo; Salim Yusuf
Journal:  Diabetologia       Date:  2014-07-19       Impact factor: 10.122

4.  Long-term study of patients with type 2 diabetes and moderate renal impairment shows that dapagliflozin reduces weight and blood pressure but does not improve glycemic control.

Authors:  Donald E Kohan; Paola Fioretto; Weihua Tang; James F List
Journal:  Kidney Int       Date:  2013-09-25       Impact factor: 10.612

5.  Dapagliflozin reduces albuminuria in patients with diabetes and hypertension receiving renin-angiotensin blockers.

Authors:  H J L Heerspink; E Johnsson; I Gause-Nilsson; V A Cain; C D Sjöström
Journal:  Diabetes Obes Metab       Date:  2016-06       Impact factor: 6.577

  5 in total
  25 in total

1.  The bark giving diabetes therapy some bite: the SGLT inhibitors.

Authors:  Sally M Marshall
Journal:  Diabetologia       Date:  2018-10       Impact factor: 10.122

Review 2.  Diagnosis and Management of Type 2 Diabetic Kidney Disease.

Authors:  Simit M Doshi; Allon N Friedman
Journal:  Clin J Am Soc Nephrol       Date:  2017-03-09       Impact factor: 8.237

Review 3.  Should Side Effects Influence the Selection of Antidiabetic Therapies in Type 2 Diabetes?

Authors:  George Grunberger
Journal:  Curr Diab Rep       Date:  2017-04       Impact factor: 4.810

4.  Differential Effects of Dapagliflozin on Cardiovascular Risk Factors at Varying Degrees of Renal Function.

Authors:  Sergei Petrykiv; C David Sjöström; Peter J Greasley; John Xu; Frederik Persson; Hiddo J L Heerspink
Journal:  Clin J Am Soc Nephrol       Date:  2017-03-16       Impact factor: 8.237

5.  The Effects of Novel Antidiabetic Drugs on Albuminuria in Type 2 Diabetes Mellitus: A Systematic Review and Meta-analysis of Randomized Controlled Trials.

Authors:  Ya Luo; Kai Lu; Gang Liu; Jing Wang; Irakoze Laurent; Xiaoli Zhou
Journal:  Clin Drug Investig       Date:  2018-12       Impact factor: 2.859

6.  Effects of sodium-glucose co-transporter 2 (SGLT2) inhibition on renal function and albuminuria in patients with type 2 diabetes: a systematic review and meta-analysis.

Authors:  Lubin Xu; Yang Li; Jiaxin Lang; Peng Xia; Xinyu Zhao; Li Wang; Yang Yu; Limeng Chen
Journal:  PeerJ       Date:  2017-06-27       Impact factor: 2.984

Review 7.  Renal Outcomes of Antidiabetic Treatment Options for Type 2 Diabetes-A Proposed MARE Definition.

Authors:  Friedrich C Prischl; Christoph Wanner
Journal:  Kidney Int Rep       Date:  2018-04-22

8.  Prediction of the effect of dapagliflozin on kidney and heart failure outcomes based on short-term changes in multiple risk markers.

Authors:  Nienke M A Idzerda; Bergur V Stefansson; Michelle J Pena; David C Sjostrom; David C Wheeler; Hiddo J L Heerspink
Journal:  Nephrol Dial Transplant       Date:  2020-09-01       Impact factor: 5.992

9.  Efficacy and safety of dapagliflozin in patients with type 2 diabetes and moderate renal impairment (chronic kidney disease stage 3A): The DERIVE Study.

Authors:  Paola Fioretto; Stefano Del Prato; John B Buse; Ronald Goldenberg; Francesco Giorgino; Daniel Reyner; Anna Maria Langkilde; C David Sjöström; Peter Sartipy
Journal:  Diabetes Obes Metab       Date:  2018-07-10       Impact factor: 6.577

10.  Data from a pooled post hoc analysis of 14 placebo-controlled, dapagliflozin treatment studies in patients with type 2 diabetes with and without anemia at baseline.

Authors:  Bergur V Stefánsson; Hiddo J L Heerspink; David C Wheeler; C David Sjöström; Peter J Greasley; Peter Sartipy; Valerie Cain; Ricardo Correa-Rotter
Journal:  Data Brief       Date:  2021-06-21
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.