Literature DB >> 29110384

Long-term efficacy and safety of canagliflozin in combination with insulin in Japanese patients with type 2 diabetes mellitus.

Nobuya Inagaki1, Shin-Ichi Harashima1, Kohei Kaku2, Kazuoki Kondo3, Nobuko Maruyama3, Makiko Otsuka3, Yutaka Kawaguchi3, Hiroaki Iijima3.   

Abstract

AIM: The aim of this study was to assess the long-term efficacy and safety of canagliflozin as add-on therapy in Japanese patients with type 2 diabetes mellitus who had inadequate glycaemic control with insulin.
MATERIALS AND METHODS: The study comprised a 16-week, double-blind period in which patients were randomized to either placebo (P; N = 70) or canagliflozin (100 mg, CAN; N = 76), followed by a 36-week open-label period in which all patients received canagliflozin. The efficacy endpoints included the change in HbA1c from baseline to end of treatment. The safety endpoints were adverse events, hypoglycaemic events, and laboratory test values.
RESULTS: The changes from baseline (mean ± standard deviation, last observation carried forward) in the P/CAN and CAN/CAN groups, respectively, were -1.09% ± 0.85% and -0.88% ± 0.86% for HbA1c, -1.40% ± 2.54% and -2.14% ± 2.75% for body weight, and 7.84% ± 14.37% and 8.91% ± 10.80% for HOMA2-%B (all, P < .001). Adverse events occurred in 85.1% of the P/CAN group and 92.0% of the CAN/CAN group. Hypoglycaemic events occurred in 43.3% and 54.7%, respectively. All hypoglycaemic events were mild in severity and insulin dose reduction decreased the incidence rate of hypoglycaemic events. Post-hoc ordinal logistic modelling/logistic modelling showed that lower serum C-peptide at Week 0 was a risk factor for hypoglycaemia in both the P and CAN groups in the double-blind period as well as in the canagliflozin all-treatment period.
CONCLUSIONS: This study demonstrates the long-term efficacy and safety of canagliflozin combined with insulin in Japanese patients.
© 2017 The Authors. Diabetes, Obesity and Metabolism published by John Wiley & Sons Ltd.

Entities:  

Keywords:  SGLT2 inhibitor; canagliflozin; hypoglycaemia; insulin; type 2 diabetes mellitus

Mesh:

Substances:

Year:  2017        PMID: 29110384      PMCID: PMC5873413          DOI: 10.1111/dom.13152

Source DB:  PubMed          Journal:  Diabetes Obes Metab        ISSN: 1462-8902            Impact factor:   6.577


INTRODUCTION

The prevalence of type 2 diabetes mellitus (T2DM) is increasing worldwide. The International Diabetes Federation estimates that, globally, 415 million adults have diabetes and 318 million have impaired glucose tolerance. At the current rate of increase, 642 million people will have diabetes by the year 2040.1 In Japan, an estimated 7.2 million individuals had T2DM and more than 60 000 died because of the disease in 2015.1 Intensive glycaemic control with insulin can prevent diabetic complications in T2DM.2, 3 However, intensive glycaemic control with insulin is associated with an increased risk of hypoglycaemia and weight gain.4 If hypoglycaemic episodes recur often over time, the brain adapts to hypoglycaemia, with symptom responses at a lower than usual plasma glucose concentration.5 This reduces perception of hypoglycaemic symptoms, resulting in increased frequency, duration and severity of hypoglycaemia. Hypoglycaemia has been associated with increased cardiovascular risk, cognitive dysfunction, dementia and vision disorders.6 Sodium glucose co‐transporter 2 (SGLT2) inhibitors suppress glucose reabsorption in the renal tubules and increase urinary glucose excretion, resulting in insulin‐independent antihyperglycaemic effects.7, 8 While SGLT2 inhibitors, in combination with insulin, were evaluated in several studies, including a meta‐analysis, and were found to significantly reduce glycated haemoglobin (HbA1c) in patients with T2DM, they did not increase the risk of hypoglycemia.9, 10 In contrast, in a post‐marketing surveillance study, the SGLT2 inhibitor ipragliflozin, in combination with insulin, did increase the risk of hypoglycaemia in elderly Japanese patients.11 In another report, SGLT2 inhibitors that caused severe hypoglycaemia in Japanese patients had usually been used in conjunction with insulin and/or sulphonylureas.12 Therefore, the effect of the combination of an SGLT2 inhibitor and insulin on the risk of hypoglycaemia needs to be more fully addressed. The pathophysiology of diabetes is different in East Asian vs Caucasian patients; East Asian patients, including Japanese patients, have reduced β‐cell function and higher insulin sensitivity as compared to Caucasian patients.13, 14 In addition to lower insulin secretion after meals, the fasting insulin level is also low in Japanese patients.15 Therefore, considering these pathological differences, it is important to evaluate this combination therapy in Japanese patients. Clinical trials conducted in Japan showed that the SGLT2 inhibitor canagliflozin, when used either as monotherapy or in combination with oral antihyperglycaemic therapy, significantly improved glycaemic control, reduced body weight and was well tolerated.16, 17, 18, 19 The prespecified substudy of the Canagliflozin Cardiovascular Assessment Study (CANVAS) demonstrated the efficacy and safety of canagliflozin in combination with insulin therapy for 52 weeks.20 However, the long‐term safety and efficacy of this combination has not been evaluated in Japanese patients with T2DM. We previously reported on the efficacy and safety of canagliflozin added to insulin therapy for 16 weeks in a double‐blind, randomized, placebo‐controlled study (NCT02220920).21 The present study (NCT02622113) is a 36‐week, open‐label extension of the previous 16‐week trial. The objective of this study was to assess the long‐term efficacy and safety of continued treatment with canagliflozin, in combination with insulin, in Japanese patients who had inadequate glycaemic control with insulin alone. In addition, as hypoglycaemia is still an important issue of this combination therapy, we investigated factors that might cause hypoglycaemia in a post‐hoc analysis.

MATERIALS AND METHODS

Study design

This was a multicentre, open‐label extension study of eligible patients with T2DM who participated in the 16‐week, double‐blind, randomized phase IV study of canagliflozin as an add‐on to insulin.21 After the 16‐week double‐blind period, all eligible patients received once‐daily oral canagliflozin (100 mg) before breakfast for a period of 36 weeks. Patients were visited every 4 weeks, and were followed for 2 weeks after the end of treatment (Figure S1). The patients received insulin regimens that were consistent with those in the double‐blind period: premixed, intermediate‐acting, long‐acting, premixed plus rapid‐ or short‐acting, intermediate‐acting plus rapid‐ or short‐acting, or long‐acting plus rapid‐ or short‐acting. The daily insulin dose ranged from 8 to 60 units. The insulin type(s) used remained the same from the first day of treatment to the end of the 52‐week total treatment period. The insulin dose was fixed during the study period, except for a temporary increase or decrease if considered to be necessary by the investigator.

Compliance with Declaration of Helsinki and informed consent

This study was conducted in the spirit of the ethical principles grounded in the Declaration of Helsinki and in compliance with: (1) Japanese laws related to ensuring drug/medical device quality, efficacy and safety and (2) Japanese ministerial orders and related regulations on good post‐marketing surveillance practice and good clinical practice. The study was approved by the ethics committee/institutional review boards at all of the participating institutions (see Acknowledgements section). All patients provided written informed consent for participation in the extension study.

Efficacy and safety outcome measures

The efficacy evaluation included the following assessments: change from baseline in HbA1c, body weight, blood pressure and fasting plasma glucose (FPG), proinsulin/C‐peptide ratio, homeostasis model assessment 2 steady‐state β‐cell function (HOMA2‐%B), high‐density lipoprotein cholesterol (HDL‐C) and triglycerides. The safety assessment was based on adverse events (AEs), hypoglycaemic events, laboratory test values and vital signs. The numbers of affected patients and incidences of AEs were described using the Medical Dictionary for Regulatory Activities (MedDRA)/Japanese, version 18.1. AEs were classified as mild, moderate or severe. Severe AEs were defined as those that interfered with daily‐life activities. Low blood glucose (≤70 mg/dL) without symptoms was classified as “blood glucose decreased.” Hypoglycaemic episodes with typical hypoglycaemic symptoms were classified as hypoglycaemia, regardless of the blood glucose level. Severe hypoglycaemia was defined as events requiring assistance by another person to actively administer carbohydrate or glucagon, or perform other resuscitation actions. Hypoglycaemia accompanied by symptoms of seizures was considered to be a hypoglycaemic seizure, which is classified as hypoglycaemia. In addition to the classification of hypoglycaemia by MedDRA, the classification by a workgroup of the American Diabetes Association and The Endocrine Society was also performed.22 The “hypoglycaemia” defined by MedDRA is classified into “severe hypoglycaemia,” “documented symptomatic hypoglycaemia,” “probable symptomatic hypoglycaemia” and “pseudo‐hypoglycaemia.” In accordance with hypoglycaemic symptom(s) and plasma glucose level, “blood glucose decreased” is classified into “asymptomatic hypoglycaemia.”

Statistical methods

Efficacy analyses were performed on the full analysis set (FAS) which comprised all patients, excluding those who did not receive a dose of canagliflozin or for whom there was no efficacy data after initiating treatment with canagliflozin. Safety analyses were performed in the safety analysis set (SAS), which comprised all patients, excluding those who did not receive a dose of canagliflozin or for whom there was no safety data after initiating treatment with canagliflozin. Data obtained at the start of the double‐blind study (Week 0) was used to analyse patient demographics; no demographic characteristics were investigated at the start of the extension study. The Baseline for the analyses was the initiating of canagliflozin administration, defined as Week 16 for patients who received placebo in the double‐blind period (P/CAN group) and Week 0 for patients who received canagliflozin in the double‐blind period (CAN/CAN group). Statistics for efficacy endpoints were summarized as change from baseline to the end of the treatment period (last observation carried forward [LOCF]). Descriptive statistics of actual value and change from baseline at each time point were calculated. The paired‐t test was used to assess efficacy endpoints between baseline and end of treatment. In order to investigate risk factors for hypoglycaemia in the post‐hoc analysis, an ordinal logistic regression analysis with a cumulative logistic model was applied to hypoglycaemia, and was categorized according to whether the patients had 0, 1 to 2, 3 to 7 or ≥8 hypoglycaemic events during the entire period of canagliflozin treatment (36 weeks in the P/CAN group; 52 weeks in the CAN/CAN group). Variables were selected using the stepwise method, as potential risk factors for hypoglycaemia included certain patient characteristics (Table S1) during the entire CAN treatment period (both entry and retention criteria were set at P = .05). To evaluate whether factors found here were derived from canagliflozin or insulin, the variables found here were characterized by logistic regression analysis in the double‐blind period. As the total exposure period was short in the double‐blind period (placebo, 21.30; CAN, 22.57 vs all CAN treatment, 113.56 person years), we could not divide the groups into 4 for the double‐blind period. Therefore, the placebo and canagliflozin groups were divided into 2 groups according to the number of hypoglycaemic events (0 and ≥1) and a logistic regression model was applied. All statistical tests were 2‐sided, with a level of significance of 5%. A 2‐sided confidence interval with a confidence coefficient of 95% was used. All statistical analyses were conducted using SAS version 9.4 (SAS Institute Inc., Cary, North Carolina).

RESULTS

Patients

Among the 146 patients enrolled in the double‐blind period (P, 70; CAN, 76), 140 patients (P, 67; CAN, 73) had given consent to enter the extension study. However, 1 patient did not enter the extension study; therefore, 139 patients (P, 67; CAN, 72) continued treatment in the extension study. Three patients in the canagliflozin group who did not consent to enter the open‐label period, and 1 patient described above were included in the analysis set. Hence, 143 patients (P, 67; CAN, 76) were included in the analysis set of the open‐label period. One patient in the canagliflozin group, who mistakenly received placebo during the double‐blind period, did not enter the extension study; this patient was included in the FAS and was not included in the SAS. Therefore, 143 patients (P, 67; CAN, 76) were included in the FAS and 142 patients (P, 67; CAN, 75) were included in the SAS (Figure S2). Patient demographics and characteristics at Week 0 for the P/CAN group and the CAN/CAN group are shown in Table S1. Patient characteristics were similar in both groups; the mean HbA1c ± SD was 8.80% ± 0.81% in the P/CAN group and 8.89% ± 0.81% in the CAN/CAN group, and the mean body weights ± SD were 69.54 ± 13.40 kg and 69.95 ± 13.93 kg, respectively. The daily insulin dose was 27.9 ± 14.0 U in the P/CAN group and 31.1 ± 15.1 U in the CAN/CAN group.

Efficacy

HbA1c decreased progressively during the first 4 weeks of treatment and remained stable thereafter in the CAN/CAN group (Figure 1). In comparison, in the P/CAN group, HbA1c was stable up to Week 16 and then declined from Week 16 (corresponding to initiation of canagliflozin treatment) through Week 24, after which it remained stable.
Figure 1

Glycated haemoglobin (HbA1c) measured from baseline to the end of treatment (LOCF). Each point and bar represents mean ± SD. Abbreviations: CAN/CAN, canagliflozin/canagliflozin group; LOCF, last observation carried forward, P/CAN, placebo/canagliflozin group

Glycated haemoglobin (HbA1c) measured from baseline to the end of treatment (LOCF). Each point and bar represents mean ± SD. Abbreviations: CAN/CAN, canagliflozin/canagliflozin group; LOCF, last observation carried forward, P/CAN, placebo/canagliflozin group Figure S3 shows the changes from baseline in HbA1c, FPG and body weight. The change in HbA1c from baseline to the end of treatment (LOCF, mean ± SD) was −1.09% ± 0.85% in the P/CAN group and −0.88% ± 0.86% in the CAN/CAN group (Table 1). The decrease in HbA1c was observed independent of the type of insulin regimen (Table S2). The change in FPG (LOCF, mean ± SD) decreased significantly from baseline to the end of the treatment period in the P/CAN group (−33.1 ± 44.1 mg/dL) and in the CAN/CAN group (−32.8 ± 45.7 mg/dL). A statistically significant reduction in percentage body weight (LOCF, mean ± SD) was also observed in the P/CAN group (−1.40% ± 2.54%) and the CAN/CAN group (−2.14% ± 2.75%) (Table 1). The reductions in HbA1c, FPG and body weight from baseline were statistically significant at all evaluation points and were maintained until the end of treatment in both groups (P < .001).
Table 1

Change in efficacy endpoints from baseline to the end of canagliflozin treatment (LOCF, full analysis set, N = 143)

P/CAN (Open‐label period, N = 67)CAN/CANa (Double‐blind and open‐label period, N = 76)
HbA1c (%)
n6776
Baseline, mean (SD)8.90 (1.03)8.89 (0.81)
Change from baseline, mean (SD)−1.09 (0.85)−0.88 (0.86)
P valueb <.001<.001
FPG (mg/dL)
n6575
Baseline, mean (SD)168.9(55.8)170.6(44.4)
Change from baseline, mean (SD)−33.1 (44.1)−32.8 (45.7)
P valueb <.001<.001
Body weight (kg)
n6575
Baseline, mean (SD)69.88 (13.60)70.19 (13.86)
Change from baseline, mean (SD)−0.99(1.76)−1.52(1.96)
P valueb <0.001<0.001
(%)
Change from baseline, mean (SD)−1.40 (2.54)−2.14 (2.75)
P valueb <.001<.001
SBP (mm Hg)
n6776
Baseline, mean (SD)130.54 (17.23)136.85 (12.01)
Change from baseline, mean (SD)−2.51 (12.94)−4.71 (11.71)
P valueb .117<.001
DBP (mm Hg)
n6776
Baseline, mean (SD)77.41 (10.25)78.34 (10.18)
Change from baseline, mean (SD)−1.83 (8.48)−2.25 (7.46)
P valueb .082.010
Triglyceride (mg/dL)
n6575
Baseline, mean (SD)140.6 (111.4)124.5 (112.3)
Change from baseline, mean (SD)−3.0 (72.1)−6.3 (83.9)
P valueb .736.515
HDL‐cholesterol (mg/dL)
n6575
Baseline, mean (SD)57.5 (16.2)61.9 (16.1)
Change from baseline, mean (SD)2.3(9.0)1.8(8.2)
P valueb 0.0430.059
(%)
Change from baseline, mean (SD)4.98 (15.59)3.92 (13.79)
P valueb .012.016
Proinsulin/C‐peptide
n6474
Baseline, mean (SD)0.0259 (0.0225)0.0235 (0.0380)
Change from baseline, mean (SD)−0.0015 (0.0150)−0.0007 (0.0080)
P valueb .443.452
HOMA2‐%B (%)
n6474
Baseline, mean (SD)24.84 (15.44)22.23 (11.12)
Change from baseline, mean (SD)7.84 (14.37)8.91 (10.80)
P valueb <.001<.001

Abbreviations: CAN/CAN, canagliflozin/canagliflozin group; DBP, diastolic blood pressure; FPG, fasting plasma glucose; HDL, high‐density lipoprotein; HOMA2‐%B, homeostasis model assessment 2 steady‐state β‐cell function; LOCF, last observation carried forward; N, number of patients in each group; n, number of patients who had LOCF data; P/CAN, placebo/canagliflozin group; SBP, systolic blood pressure; SD, standard deviation.

P/CAN week 36, CAN/CAN week 52.

Paired‐t, vs baseline.

Change in efficacy endpoints from baseline to the end of canagliflozin treatment (LOCF, full analysis set, N = 143) Abbreviations: CAN/CAN, canagliflozin/canagliflozin group; DBP, diastolic blood pressure; FPG, fasting plasma glucose; HDL, high‐density lipoprotein; HOMA2‐%B, homeostasis model assessment 2 steady‐state β‐cell function; LOCF, last observation carried forward; N, number of patients in each group; n, number of patients who had LOCF data; P/CAN, placebo/canagliflozin group; SBP, systolic blood pressure; SD, standard deviation. P/CAN week 36, CAN/CAN week 52. Paired‐t, vs baseline. Table 1 also shows the changes (LOCF, mean ± SD) in other efficacy endpoints from baseline. SBP/DBP significantly decreased in the CAN/CAN group, but not in the P/CAN group. The value of HDL‐cholesterol significantly increased in the the P/CAN group, but not in the CAN/CAN group. The percent change in HDL‐cholesterol significantly increased in both group. Fasting triglycerides and the fasting proinsulin/C‐peptide ratio decreased in both groups, but the decreases were not statistically significant. HOMA2‐%B increased significantly from baseline in both the P/CAN (7.84% ± 14.37%) and CAN/CAN (8.91% ± 10.80%) groups (P < .001 for both groups). The change in daily dose of insulin (mean ± SD) from baseline to the end of treatment was −0.67 ± 2.31 U in the P/CAN group (baseline, 28.59 ± 14.39 U) and −0.37 ± 2.01 U in the CAN/CAN group (baseline, 30.07 ± 15.45 U).

Safety

AEs were defined as all medically undesirable events occurring in treated patients, regardless of causal relationship. The safety analysis was conducted in 67 patients in the P/CAN group and in 75 patients in the CAN/CAN group. AEs were reported in 85.1% of patients in the P/CAN group and in 92.0% of patients in the CAN/CAN group (Table 2). Serious AEs occurred in 7 of 67 patients (10.4%) in the P/CAN group and in 7 of 75 patients (9.3%) in the CAN/CAN group. AEs leading to treatment discontinuation occurred in 6.0% of patients in the P/CAN group (4 events: vulvovaginal candidiasis, colon cancer, lacunar infarction and drug eruption) and in 5.3% of patients in the CAN/CAN group (4 events: atrial fibrillation, alcoholic liver disease, vulvovaginal pruritus and lower limb fracture). There were no deaths in either group.
Table 2

Adverse events (safety analysis set, N = 142)

n (%)
P/CAN (Open‐label period, N = 67)CAN/CANa (Double‐blind and open‐label period, N = 75)
Adverse events57 (85.1)69 (92.0)
Serious7 (10.4)7 (9.3)
Leading to discontinuation4 (6.0)4 (5.3)
Adverse drug reactions33 (49.3)41 (54.7)
Serious0 (0.0)0 (0.0)
Leading to discontinuation2 (3.0)1 (1.3)
Deaths0 (0.0)0 (0.0)
Adverse events of special interest
All hypoglycaemic events29 (43.3)41 (54.7)
Hypoglycaemia20 (29.9)28 (37.3)
Hypoglycaemic seizure1 (1.5)0 (0.0)
Blood glucose decreased16 (23.9)29 (38.7)
Urinary tract infection1 (1.5)1 (1.3)
Male genital infection0 /46 (0.0)1/44 (2.3)
Female genital infection3/21 (14.3)2/31 (6.5)
Osmotic diuresis6 (9.0)5 (6.7)
Volume depletion0 (0.0)1 (1.3)
Fracture2 (3.0)1 (1.3)
Skin and subcutaneous tissue disorder4 (6.0)7 (9.3)
Malignant neoplasm1 (1.5)1 (1.3)
Cardiovascular‐related events1 (1.5)0 (0.0)
Hepatic function impairment0 (0.0)2 (2.7)
Blood ketone bodies increased1 (1.5)3 (4.0)
Renal impairment0 (0.0)0 (0.0)

Abbreviations: CAN/CAN, canagliflozin/canagliflozin group; N, number of patients in each group; n, number of patients who experienced adverse events; P/CAN, placebo/canagliflozin group.

P/CAN for 36 weeks, CAN/CAN for 52 weeks.

Adverse events (safety analysis set, N = 142) Abbreviations: CAN/CAN, canagliflozin/canagliflozin group; N, number of patients in each group; n, number of patients who experienced adverse events; P/CAN, placebo/canagliflozin group. P/CAN for 36 weeks, CAN/CAN for 52 weeks. All AEs judged to have a reasonably possible causal relationship with the study drug were considered adverse drug reactions (ADRs). ADRs occurred in 49.3% of patients in the P/CAN group and in 54.7% of patients in the CAN/CAN group. No serious ADRs were reported in either group. The most common AE of special interest was hypoglycaemic events (hypoglycaemia, hypoglycaemic seizure and blood glucose decreased), which were reported in 29 of 67 patients (43.3%) in the P/CAN group and in 41 of 75 patients (54.7%) in the CAN/CAN group (Table 2). All hypoglycaemic events were mild in severity. Hypoglycaemic classification was undertaken by a workgroup of the American Diabetes Association and The Endocrine Society (Table S3). No severe hypoglycaemic events occurred in any group. Other common AEs of special interest were vulvovaginitis, osmotic diuresis and skin and subcutaneous disorders. A total of 551 hypoglycaemic events of any type occurred during the entire treatment period with canagliflozin (36 weeks of treatment in the P/CAN group; 52 weeks in the CAN/CAN group). The incidence of hypoglycaemic events for all patients was 4.85 per subject‐year exposure, with the highest incidence in patients who received long‐acting insulin plus either rapid‐ or short‐acting formulations (Table S4). The incidence of hypoglycaemic events did not increase with long‐term administration of canagliflozin. The incidence rates of hypoglycaemia per subject‐year exposure were 4.51 and 7.97 in the P and CAN groups, respectively, during the double‐blind period, and 4.85 during the entire canagliflozin treatment period. The insulin dose reduction (approximately 10% reduction) decreased the incidence rate of hypoglycaemic events per subject‐year of exposure (14.76 before dose reduction, 9.30 after dose reduction; N = 38) (Table 3). Hypoglycaemic events occurred most frequently between 06:00 and 11:59 am (Table S5).
Table 3

Incidence rates of hypoglycaemic events before and after insulin dose reduction

Entire CAN treatment perioda (N = 38)
All (N = 38)Premixed (N = 12)Long‐acting (N = 10)Premixed + rapid‐ or short‐acting (N = 1)Long‐acting + rapid‐ or short‐acting (N = 15)
Before first dose reduction
Total exposure period (subject‐years)8.942.872.070.073.94
No. of hypoglycaemic events1322937165
Incidence per subject‐year exposure14.7610.1217.8514.6116.51
After first dose reduction
Total exposure period (subject‐years)21.846.146.670.648.38
No. of hypoglycaemic events20327722102
Incidence per subject‐year exposure9.304.3910.793.1412.17

Incidence rate per subject‐year: number of events/total exposure period (subject‐years).

Abbreviations: CAN/CAN, canagliflozin/canagliflozin group; N, number of patients. P/CAN, placebo/canagliflozin group.

P/CAN for 36 weeks, CAN/CAN for 52 weeks.

Incidence rates of hypoglycaemic events before and after insulin dose reduction Incidence rate per subject‐year: number of events/total exposure period (subject‐years). Abbreviations: CAN/CAN, canagliflozin/canagliflozin group; N, number of patients. P/CAN, placebo/canagliflozin group. P/CAN for 36 weeks, CAN/CAN for 52 weeks. To evaluate hypoglycaemic events in detail, the patients were divided into 4 groups according to the number of hypoglycaemic events experienced: 0, 1 to 2, 3 to 7 and ≥8. The demographics of each patient group are shown in Table S6. Patients who experienced more frequent hypoglycaemic events tended to be older and had a longer duration of diabetes, lower BMI, higher prevalence of diabetic neuropathy, lower prevalence of diabetic nephropathy, lower levels of FPG, serum C‐peptide and HOMA2‐%B, and higher does of insulin. To investigate the risk factors for hypoglycaemic events, the ordinal logistic model was applied to the entire period of treatment with canagliflozin, categorized according to whether patients experienced 0, 1 to 2, 3 to 7 or ≥8 hypoglycaemic events. Serum C‐peptide, diabetic neuropathy and insulin regimen at Week 0 were found to be risk factors. To determine which insulin regimen is related to hypoglycaemia, we performed a relative risk analysis of each insulin regimen compared to long‐acting only and found that a long‐acting plus rapid‐ or short‐acting insulin regimen was a risk factor for hypoglycaemia. Collectively, the presence of diabetic neuropathy and the use of long‐acting plus rapid‐ or short‐acting insulin regimens increased the risk of hypoglycaemia. Conversely, high serum C‐peptide levels decreased the risk of hypoglycaemia, that is, low serum C‐peptide was a risk factor for hypoglycaemia. To evaluate whether these factors (serum C‐peptide, diabetic neuropathy and insulin regimen) were derived from canagliflozin or insulin, binominal analysis was performed during the double‐blind period. Low serum C‐peptide was identified as a risk factor in both the placebo and canagliflozin groups in the double‐blind period (Table 4). With the exception of an insulin regimen in the placebo group, no other factors were identified.
Table 4

Ordinal logistic regression analysis with cumulative logistic model and logistic regression analysisa of risk factors for hypoglycaemic events

Odds ratio (95% CI)
FactorsEntire CAN treatment periodDouble‐blind period
Multi‐nominal (ordinal logistic model)Bi‐nominal (logistic model)
CAN groupPlacebo groupCAN group
Fasting serum C‐peptide0.351 (0.195, 0.632)0.054 (0.007, 0.387)0.376 (0.153, 0.925)
Diabetic neuropathy3.382 (1.488, 7.685)2.344 (0.479, 11.481)1.071 (0.308, 3.724)
Insulin regimen
Long‐acting + rapid or short‐acting vs long‐acting4.127 (1.801, 9.457)6.972 (1.136, 42.784)1.382 (0.404, 4.731)
Premixed vs long‐acting1.281 (0.559, 2.936)3.102 (0.502, 19.166)2.050 (0.612, 6.864)
Premixed + rapid or short‐acting vs long‐actingb NDND

Abbreviations: CAN, canagliflozin; CI, confidence interval.

The ordinal logistic regression analysis with cumulative logistic model was applied to hypoglycaemia, categorized according to whether the patients experienced 0, 1‐2, 3‐7 or ≥8 hypoglycaemic events during the entire period of canagliflozin treatment or logistic regression analysis categorized as 0 or ≥1 hypoglycaemic events during the double‐blind period. Variables were selected using the stepwise method, as potential risk factors for hypoglycaemia included certain patient characteristics (Table S1) (both entry and retention criteria were set at P = .05) during the entire CAN treatment period. The variables found here were characterized by logistic regression analysis during the double‐blind period.

Entire CAN treatment period (N = 1); Double‐blind period (Placebo: N = 1, CAN: N = 0).

Ordinal logistic regression analysis with cumulative logistic model and logistic regression analysisa of risk factors for hypoglycaemic events Abbreviations: CAN, canagliflozin; CI, confidence interval. The ordinal logistic regression analysis with cumulative logistic model was applied to hypoglycaemia, categorized according to whether the patients experienced 0, 1‐2, 3‐7 or ≥8 hypoglycaemic events during the entire period of canagliflozin treatment or logistic regression analysis categorized as 0 or ≥1 hypoglycaemic events during the double‐blind period. Variables were selected using the stepwise method, as potential risk factors for hypoglycaemia included certain patient characteristics (Table S1) (both entry and retention criteria were set at P = .05) during the entire CAN treatment period. The variables found here were characterized by logistic regression analysis during the double‐blind period. Entire CAN treatment period (N = 1); Double‐blind period (Placebo: N = 1, CAN: N = 0). The changes in laboratory values from baseline to the end of treatment are shown in Table S7. The changes of low‐density lipoprotein‐cholesterol from baseline were 6.1 ± 22.5 mg/dL in the P/CAN group and 1.8 ± 19.7 mg/dL in the CAN/CAN group. The changes in total ketone bodies from baseline were 141.05 ± 372.80 μmol/L and 112.93 ± 244.19 μmol/L in the P/CAN and CAN/CAN groups, respectively. However, no AEs associated with increased ketone bodies, such as ketoacidosis, were observed.

DISCUSSION

In this extension study, treatment with canagliflozin plus insulin improved glycaemic control in Japanese patients with T2DM who had inadequate glycaemic control with insulin monotherapy, as evidenced by significant reductions in HbA1c, FPG and body weight over the course of treatment. These beneficial effects were maintained for the entire 36 weeks in the P/CAN group and the entire 52 weeks in the CAN/CAN group. T2DM is a progressive disease characterized by increasing deterioration of pancreatic β‐cell function.23 As a result, the proportion of patients receiving insulin therapy increases as the duration of diabetes increases.24, 25 Compared with previous studies, the patients in our study had longer disease duration, higher HbA1c and lower HOMA2‐%B, which suggests greater deterioration of β‐cell function at study enrollment.17, 18, 19 Despite the advanced disease profile of the patients, canagliflozin treatment improved glycaemic control for 52 weeks. In addition, HOMA2‐%B, a marker of pancreatic β‐cell function, was significantly increased from baseline in both treatment groups and was maintained until the end of treatment, suggesting that canagliflozin improved β‐cell function. Reduced glucose toxicity with canagliflozin treatment may be a possible mechanism for this improvement. Most patients with diabetes have concomitant conditions including obesity, hypertension and lipid metabolism disorders, which can lead to micro‐ and macrovascular complications. Prevention of micro‐ and macrovascular complications requires effective glycaemic control and management of body weight, blood pressure and plasma lipids.26, 27 In this extension study, body weight, BMI and waist circumference were significantly decreased in both groups, and the reductions were maintained until the end of treatment. Studies have shown that weight gain is an issue with insulin treatment, at times requiring higher insulin doses.28, 29, 30 In contrast, patients in our study lost weight despite receiving insulin therapy. Prior evidence has demonstrated that insulin doses typically need to be increased to maintain glycaemic control as the duration of treatment increases.31, 32 In this study, the combination of canagliflozin and insulin allowed for long‐term glycaemic control without increases in insulin doses. A meta‐analysis reported that treatment with SGLT2 inhibitors, in combination with insulin, led to insulin dose reductions; the studies in this meta‐analysis permitted an increase or decrease in insulin dose according to the respective titration criteria.9 In the present study, the mean change in daily dose of insulin from baseline was very small, and the number of patients with insulin dose reductions was 38. This may be explained by the protocol requirements of the study; the insulin dose was fixed during the study period, with the exception of a temporary increase or decrease if considered necessary by the investigator. Another explanation may be the lower mean baseline insulin dose in this Japanese patient population compared with Western populations (approximately 30 U in this study vs 47.1 to 91.5 U in the Western populations included in the meta‐analysis).9 The most common AE was hypoglycaemic events (hypoglycaemia, blood glucose decreased). However, all hypoglycaemic events were mild in severity, and insulin dose reductions resulted in a decreased incidence rate of hypoglycaemic events per subject‐year of exposure, which is consistent with the double‐blind period.21 Based on analysis using the cumulative logistic model, high serum C‐peptide levels decreased the risk of hypoglycaemia; that is, lower fasting serum C‐peptide at Week 0 was identified as a risk factor for hypoglycaemia. This was true in the open‐label period, in which all patients were treated with canagliflozin, as well as in both the placebo and canagliflozin groups in the double‐blind period, suggesting that the increased risk of hypoglycaemia was not due to canagliflozin treatment. Importantly, no risk factors specific to the canagliflozin group were identified. These results, alongside the fact that all patients received insulin, suggest that lower serum C‐peptide at Week 0 may be a risk factor for hypoglycaemia when patients are treated with insulin. Similarly, in the post‐hoc analysis of the ACCORD trial, a fasting C‐peptide level of ≤0.15 nmol/L (0.45 ng/mL) was identified as a risk factor for severe hypoglycemia.33 In patients with type 1 diabetes or advanced T2DM, absolute β‐cell failure results in no decrease in β‐cell insulin secretion and, thus, no increase in α‐cell glucagon secretion during hypoglycemia.34, 35 Hypoglycaemia may be caused by this lack of response to glucagon among patients who have low fasting C‐peptide (ie, low insulin production). Therefore, caution may be exercised with insulin treatment among patients with low insulin production. However, all cases of hypoglycaemia in this study were mild, and no cases of severe hypoglycaemia were reported. In patients at a higher risk for hypoglycaemia, the risk may be decreased by reducing the insulin dosage. Because insulin suppresses lipolysis, lowering the dose of insulin when used in combination with an SGLT2 inhibitor may increase the production of ketone bodies.36 The increased ketone bodies can cause diabetic ketoacidosis; therefore, large reductions in insulin dose may not be appropriate. In the present study, no AEs associated with increased ketone bodies, such as ketoacidosis, were observed in either treatment group. Our study has some limitations that must be acknowledged. Although the sample size of this study was calculated to detect a difference between the placebo and canagliflozin groups during the double‐blind period, it might be considered relatively small for long‐term evaluation. In addition, the study lacks a control group. However, long‐term data on the use of this combination in Japanese patients are important, particularly considering the differences in pathophysiology between Japanese and non‐Japanese patients. In conclusion, this study demonstrated the long‐term efficacy and safety of canagliflozin in combination with insulin in Japanese patients. Table S1. Patient demographics and characteristics at Week 0 (full analysis set, N = 143). Table S2. Change in HbA1c from baseline to the last observation by insulin regimen (LOCF, full analysis set, N = 143). Table S3. Hypoglycaemic events classified by a workgroup of the American Diabetes Association and The Endocrine Society.* Table S4. Hypoglycaemic events according to insulin regimen (safety analysis set, N = 142). Table S5. Incidence of hypoglycaemic events by time of day at onset (safety analysis set, N = 142). Table S6. Patient demographics according to number of hypoglycaemic events (safety analysis set, N = 142). Table S7. Change in laboratory values from baseline to end of treatment (safety analysis set, N = 142). Figure S1. Study design. Figure S2. Patient disposition. Figure S3. Change in outcome measures from baseline to end of treatment. Click here for additional data file.
  35 in total

Review 1.  Minireview: Glucagon in the pathogenesis of hypoglycemia and hyperglycemia in diabetes.

Authors:  Philip E Cryer
Journal:  Endocrinology       Date:  2011-12-13       Impact factor: 4.736

2.  Real-world evidence for the safety of ipragliflozin in elderly Japanese patients with type 2 diabetes mellitus (STELLA-ELDER): final results of a post-marketing surveillance study.

Authors:  Koutaro Yokote; Yasuo Terauchi; Ichiro Nakamura; Haruko Sugamori
Journal:  Expert Opin Pharmacother       Date:  2016-08-31       Impact factor: 3.889

3.  Sodium-glucose co-transporter 2 inhibitors in addition to insulin therapy for management of type 2 diabetes mellitus: A meta-analysis of randomized controlled trials.

Authors:  Huilin Tang; Wei Cui; Dandan Li; Tiansheng Wang; Jingjing Zhang; Suodi Zhai; Yiqing Song
Journal:  Diabetes Obes Metab       Date:  2016-09-29       Impact factor: 6.577

4.  Efficacy and safety of canagliflozin, an inhibitor of sodium-glucose cotransporter 2, when used in conjunction with insulin therapy in patients with type 2 diabetes.

Authors:  Bruce Neal; Vlado Perkovic; Dick de Zeeuw; Kenneth W Mahaffey; Greg Fulcher; Kirk Ways; Mehul Desai; Wayne Shaw; George Capuano; Maria Alba; Joel Jiang; Frank Vercruysse; Gary Meininger; David Matthews
Journal:  Diabetes Care       Date:  2014-12-02       Impact factor: 19.112

5.  Factors associated with weight gain in people with type 2 diabetes starting on insulin.

Authors:  Beverley Balkau; Philip D Home; Maya Vincent; Michel Marre; Nick Freemantle
Journal:  Diabetes Care       Date:  2014-05-13       Impact factor: 19.112

6.  Body composition is the main determinant for the difference in type 2 diabetes pathophysiology between Japanese and Caucasians.

Authors:  Jonas B Møller; Maria Pedersen; Haruhiko Tanaka; Mitsuru Ohsugi; Rune V Overgaard; Jan Lynge; Katrine Almind; Nina-Maria Vasconcelos; Pernille Poulsen; Charlotte Keller; Kohjiro Ueki; Steen H Ingwersen; Bente K Pedersen; Takashi Kadowaki
Journal:  Diabetes Care       Date:  2013-10-15       Impact factor: 19.112

Review 7.  Importance of cardiovascular disease risk management in patients with type 2 diabetes mellitus.

Authors:  Daniel Lorber
Journal:  Diabetes Metab Syndr Obes       Date:  2014-05-23       Impact factor: 3.168

8.  Efficacy and safety of canagliflozin alone or as add-on to other oral antihyperglycemic drugs in Japanese patients with type 2 diabetes: A 52-week open-label study.

Authors:  Nobuya Inagaki; Kazuoki Kondo; Toru Yoshinari; Hideki Kuki
Journal:  J Diabetes Investig       Date:  2014-08-25       Impact factor: 4.232

9.  Hypoglycemia and diabetes: a report of a workgroup of the American Diabetes Association and the Endocrine Society.

Authors:  Elizabeth R Seaquist; John Anderson; Belinda Childs; Philip Cryer; Samuel Dagogo-Jack; Lisa Fish; Simon R Heller; Henry Rodriguez; James Rosenzweig; Robert Vigersky
Journal:  Diabetes Care       Date:  2013-04-15       Impact factor: 19.112

Review 10.  Hypoglycemia: The neglected complication.

Authors:  Sanjay Kalra; Jagat Jyoti Mukherjee; Subramanium Venkataraman; Ganapathi Bantwal; Shehla Shaikh; Banshi Saboo; Ashok Kumar Das; Ambady Ramachandran
Journal:  Indian J Endocrinol Metab       Date:  2013-09
View more
  6 in total

1.  Comparative risk of genital infections associated with sodium-glucose co-transporter-2 inhibitors.

Authors:  Chintan V Dave; Sebastian Schneeweiss; Elisabetta Patorno
Journal:  Diabetes Obes Metab       Date:  2018-10-11       Impact factor: 6.577

2.  Identification of subgroups of patients with type 2 diabetes with differences in renal function preservation, comparing patients receiving sodium-glucose co-transporter-2 inhibitors with those receiving dipeptidyl peptidase-4 inhibitors, using a supervised machine-learning algorithm (PROFILE study): A retrospective analysis of a Japanese commercial medical database.

Authors:  Fang L Zhou; Hirotaka Watada; Yuki Tajima; Mathilde Berthelot; Dian Kang; Cyril Esnault; Yujin Shuto; Hiroshi Maegawa; Daisuke Koya
Journal:  Diabetes Obes Metab       Date:  2019-06-03       Impact factor: 6.577

3.  Efficacy and safety of empagliflozin as add-on to insulin in Japanese patients with type 2 diabetes: A randomized, double-blind, placebo-controlled trial.

Authors:  Hirohito Sone; Tatsuroh Kaneko; Kosuke Shiki; Yoshifumi Tachibana; Egon Pfarr; Jisoo Lee; Naoko Tajima
Journal:  Diabetes Obes Metab       Date:  2019-12-20       Impact factor: 6.577

4.  Long-term efficacy and safety of canagliflozin in combination with insulin in Japanese patients with type 2 diabetes mellitus.

Authors:  Nobuya Inagaki; Shin-Ichi Harashima; Kohei Kaku; Kazuoki Kondo; Nobuko Maruyama; Makiko Otsuka; Yutaka Kawaguchi; Hiroaki Iijima
Journal:  Diabetes Obes Metab       Date:  2017-12-05       Impact factor: 6.577

5.  Efficacy and safety of canagliflozin as add-on therapy to a glucagon-like peptide-1 receptor agonist in Japanese patients with type 2 diabetes mellitus: A 52-week, open-label, phase IV study.

Authors:  Shin-Ichi Harashima; Nobuya Inagaki; Kazuoki Kondo; Nobuko Maruyama; Makiko Otsuka; Yutaka Kawaguchi; Yumi Watanabe
Journal:  Diabetes Obes Metab       Date:  2018-03-24       Impact factor: 6.577

Review 6.  Use of SGLT-2 Inhibitors in Patients with Type 2 Diabetes Mellitus and Abdominal Obesity: An Asian Perspective and Expert Recommendations.

Authors:  Wayne Huey Herng Sheu; Siew Pheng Chan; Bien J Matawaran; Chaicharn Deerochanawong; Ambrish Mithal; Juliana Chan; Ketut Suastika; Chin Meng Khoo; Huu Man Nguyen; Ji Linong; Andrea Luk; Kun Ho Yoon
Journal:  Diabetes Metab J       Date:  2020-02       Impact factor: 5.376

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.