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Erschienen in: Advances in Therapy 4/2019

Open Access 14.02.2019 | Original Research

Safety and Effectiveness of Ipragliflozin for Type 2 Diabetes in Japan: 12-Month Interim Results of the STELLA-LONG TERM Post-Marketing Surveillance Study

verfasst von: Ichiro Nakamura, Hiroshi Maegawa, Kazuyuki Tobe, Satoshi Uno

Erschienen in: Advances in Therapy | Ausgabe 4/2019

Abstract

Introduction

The present interim report of the STELLA-LONG TERM study aimed to examine the safety and effectiveness of ipragliflozin in real-word clinical practice in Japan using data up to 12 months. We also evaluated the effect of ipragliflozin on aspartate aminotransferase (AST) and alanine aminotransferase (ALT) levels in patients with normal vs. abnormal liver function.

Methods

This is an ongoing 3-year post-marketing surveillance study. We analyzed data from Japanese type 2 diabetes mellitus (T2DM) patients who were first prescribed ipragliflozin between 17 July 2014 and 16 October 2015 at participating centers in Japan, and whose data were locked by 16 January 2018. The incidence of adverse drug reactions (ADRs) was evaluated for safety. Changes in glycemic control and body weight were evaluated for effectiveness. The effect on liver function was evaluated by changes in the fatty liver index, and changes in AST and ALT were evaluated in patients with normal and abnormal liver function.

Results

The safety analysis set comprised 11,051 patients and the efficacy analysis set comprised 8788 patients. The incidence rates of ADRs and serious ADRs were 14.6% (1616/11,051) and 0.97% (107/11,051), respectively. Significant reductions (all P < 0.001 vs. baseline, paired t test) in glycated hemoglobin (− 0.8%), fasting plasma glucose (− 31.9 mg/dL), body weight (− 2.9 kg), and fatty liver index (− 8.7) were observed. In patients with normal liver function at baseline, no clinically significant changes in AST and ALT were observed. In patients with abnormal liver function at baseline, clinically and statistically significant decreases (P < 0.05 vs. baseline, two-sample t test) in AST (− 9.0 U/L) and ALT (− 14.7 U/L) levels were observed.

Conclusion

Ipragliflozin was effective and well tolerated in Japanese patients with T2DM over 12 months in the real-world clinical setting. Improvements in liver function parameters (AST and ALT) were observed in T2DM patients with abnormal liver function.

Trial Registration

ClinicalTrials.gov identifier, NCT02479399.

Funding

Astellas Pharma Inc., Japan.
Hinweise

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A correction to this article is available online at https://​doi.​org/​10.​1007/​s12325-021-01813-8.

Introduction

Ipragliflozin is a sodium–glucose cotransporter 2 (SGLT2) inhibitor that was approved in Japan in January 2014 for the treatment of type 2 diabetes mellitus (T2DM) patients [1]. Although SGLT2 inhibitors are known to provide benefits in relation to the low risk of hypoglycemia and promotion of weight loss [2], there are limited data on the safety and effectiveness of the SGLT2 inhibitor ipragliflozin in the real-world setting in Japan.
Several post-marketing surveillance studies of ipragliflozin have been conducted under the guidance of the Japanese Pharmaceuticals and Medical Devices Agency. The STELLA-LONG TERM study is an ongoing 3-year post-marketing surveillance study of ipragliflozin in Japanese patients with T2DM in real-world clinical practice [3, 4]. Subgroup analyses based on the interim cutoff data have been conducted to evaluate the long-term safety and effectiveness of ipragliflozin in elderly vs. non-elderly patients and stratified by body mass index (BMI) and liver function status (normal vs. abnormal) [5, 6]. Recently published interim reports of the STELLA-LONG TERM study included a pooled analysis of 3-, 12-, and 24-month data [4, 5]. The results of the analyses conducted thus far have shown that ipragliflozin was effective in improving glycemic control without raising new safety concerns in T2DM patients [3, 4], regardless of age [5] or BMI [data on file], and improved liver function in T2DM patients with abnormal liver function [6].
Preclinical study findings have suggested an improvement in liver function with SGLT2 inhibitors [716], and a pooled analysis of five randomized controlled trials showed improvements in both aspartate aminotransferase (AST) and alanine aminotransferase (ALT) levels with the use of ipragliflozin [17]. However, the potential effects of ipragliflozin on liver function-related parameters in T2DM patients, especially in those with abnormal liver function, are poorly understood and warrant further investigation.
The present interim report of the STELLA-LONG TERM study aimed to examine the safety and effectiveness of ipragliflozin in real-world clinical practice in Japan using data from patients up to 12 months of follow-up. We also evaluated the effect of ipragliflozin on AST and ALT levels in patients with normal vs. abnormal liver function.

Methods

Study Design and Patients

This is an ongoing 3-year post-marketing surveillance study. Details of the study design, patient selection criteria, and methods are described in the first interim report [3]. This study was performed in compliance with Good Post-marketing Study Practice. Anonymized data were collected from a clinical setting as required by the regulatory authority; therefore, informed consent was waived in compliance with the policies of each study site. All of the medical institutions that agreed to provide data signed a contract with Astellas Pharma Inc.
Data from T2DM patients who were first prescribed ipragliflozin between 17 July 2014 and 16 October 2015 at one of the 2431 participating centers in Japan were recorded in electronic case report forms, collected in an electronic database, and analyzed. Baseline and post-baseline data on the following survey items were collected: demographic characteristics; body weight and blood pressure; duration of diabetes; complications; liver function status; use of concomitant antidiabetic drugs, diuretics, and other drugs; laboratory data [glycated hemoglobin (HbA1c), fasting plasma glucose, estimated glomerular filtration rate (eGFR), fasting serum insulin, AST, and ALT]; and safety data.
Further details on how the survey was conducted have been described previously [3]. The cutoff date for the present 12-month interim report was 16 January 2018.

Treatment

A once-daily dose of ipragliflozin 50 mg was administered before or after breakfast, in accordance with the package insert. In patients with severe hepatic impairment, a lower dose was allowed at the discretion of the attending physician. If the attending physician considered the treatment effectiveness as insufficient, a dose increase to 100 mg was allowed with careful monitoring of the patient’s clinical course.

Vital Signs and Laboratory Variables

Changes in vital signs (including systolic and diastolic blood pressure), laboratory parameters, and eGFR were evaluated.

Safety

Adverse drug reactions (ADRs) were evaluated and categorized by system organ class (SOC) and preferred term using the Medical Dictionary for Regulatory Activities (MedDRA)/J version 20.1. The time to onset of ADRs and continuation/discontinuation of ipragliflozin treatment associated with ADRs were also evaluated.

Effectiveness

Effectiveness outcome measures were changes in glycemic control (HbA1c, fasting plasma glucose, and fasting serum insulin) and body weight.

Liver Function

Liver function assessments included changes in AST, ALT, and fatty liver index. Changes in AST and ALT were evaluated in patients with normal and abnormal liver function. Patients with normal liver function were defined as those with baseline ALT ≤ 30  U/L (male) or ≤ 20 U/L (female). Patients with abnormal liver function were defined as those with baseline ALT ≥ 31 U/L (male) or ≥ 21 U/L (female). The fatty liver index was calculated in accordance with an algorithm proposed by Bedogni et al. [18]:
$${\text{Fatty liver index}}\, = \frac{{e^{{0.953 \times \log_{e} ({\text{triglycerides}}) + 0.139 \times {\text{BMI}} + 0.718 \times \log_{e} ({\text{ggt}}) + 0.053 \times {\text{waist}}\;{\text{circumference}} - 15.745}} }}{{1 + e^{{0.953 \times \log_{e} ({\text{triglycerides}}) + 0.139 \times {\text{BMI}} + 0.718 \times \log_{e} ({\text{ggt}}) + 0.053 \times {\text{waist}}\;{\text{circumference}} - 15.745}} }} \times 100.$$
Hepatic steatosis is indicated by a fatty liver index ≥ 60 and ruled out by a fatty liver index < 30. The correlation between changes in ALT and other parameters related to glycemic control and blood pressure, among others, was evaluated in patients with abnormal liver function.

Statistical Analysis

The rationale for the study length and sample size calculations have been described previously [3]. No sample size calculation was performed for subgroup comparisons of patients with normal and abnormal liver function. The safety and efficacy analysis sets included all patients observed for up to 12 months. Categorical variables are shown as n (%) and continuous variables are shown as mean ± standard deviation (SD), unless otherwise specified. Paired t tests were used to evaluate changes in laboratory parameters from baseline to 1, 3, 6, and 12 months. Two-sample t tests were used for comparisons of liver function tests between patients with normal and abnormal liver function. Statistical significance was set at two-sided P < 0.05. Adjustments for type I error, based on multiple hypothesis testing, were not performed. In patients with abnormal liver function, Pearson’s correlation coefficient and its P value were calculated to evaluate the relationship between changes in ALT and changes in other parameters. All statistical analyses were performed using SAS statistical software version 9.3 (SAS Institute Inc., Cary, NC, USA) or higher.

Results

Patient Disposition

The disposition of patients is shown in Fig. 1. Of 2431 institutions that agreed to participate in this study, 1941 participated and initially registered 11,424 patients. Survey forms were collected for 9991 patients at 12 months. Out of 11,289 patients included in the locked database, the safety analysis set comprised 11,051 patients at 3 months and 9970 patients at 12 months. Among the 11,051 patients, 2263 patients were excluded from the efficacy analysis set, which subsequently comprised 8788 patients. Patients were excluded mainly because of noncompliance with the study drug (e.g., starting dose other than 50 mg once daily for patients without severe hepatic impairment); unclear effectiveness assessment; or no effectiveness data available for HbA1c, serum fasting insulin or fasting plasma glucose at baseline or post-baseline.

Patient Characteristics

The baseline demographic and clinical characteristics of patients are shown in Table 1. Of the 11,051 patients in the safety analysis set, 6712 (60.7%) were male. In the safety analysis set, the mean ± SD age was 56.9 ± 12.2 years, BMI was 29.1 ± 5.3 kg/m2, and duration of diabetes was 8.0 ± 6.5 years. Treatments used at baseline and during the survey period are shown in Table 2. Most patients (81.5%) were receiving treatment with concomitant antidiabetic drugs, among which the most common types were dipeptidyl peptidase-4 (DPP-4) inhibitors (56.3%), metformin (42.3%), and sulfonylureas (28.2%). Only 7.6% of patients were receiving concomitant diuretics.
Table 1
Patient characteristics at baseline
 
Number of patients (%) or mean ± SD
Safety analysis set
Efficacy analysis set
Total
11,051 (100.0)
8788 (100.0)
Sex
 Male
6712 (60.7)
5384 (61.3)
 Female
4339 (39.3)
3404 (38.7)
Age, years
 n
11,051
8788
 
56.9 ± 12.2
56.4 ± 12.0
Body weight, kg
 n
8170
6901
 
78.1 ± 17.3
78.5 ± 17.2
BMI, kg/m2
 n
7489
6336
 
29.1 ± 5.3
29.2 ± 5.3
Inpatient/outpatient
 Inpatient
183 (1.7)
153 (1.7)
 Outpatient
10,868 (98.3)
8635 (98.3)
Duration of diabetes, years
 n
7247
5942
 
8.0 ± 6.5
8.0 ± 6.4
Duration of diabetes, category
 < 5 years
2593 (23.5)
2116 (24.1)
 ≥ 5 years to < 10 years
2171 (19.6)
1775 (20.2)
 ≥ 10 years to < 15 years
1425 (12.9)
1179 (13.4)
 ≥ 15 years
1058 (9.6)
872 (9.9)
 Unknown
3804 (34.4)
2846 (32.4)
Complications
 No
1637 (14.8)
1293 (14.7)
 Yes
9321 (84.3)
7443 (84.7)
 Unknown
93 (0.8)
52 (0.6)
Type of complication (some patients had more than one complication)
 Diabetic neuropathy
956 (8.7)
787 (9.0)
 Diabetic nephropathy
1819 (16.5)
1516 (17.3)
 Diabetic retinopathy
884 (8.0)
741 (8.4)
 Cardiovascular and cerebrovascular disease
1027 (9.3)
748 (8.5)
 Myocardial infarction
146 (1.3)
118 (1.3)
 Angina pectoris
467 (4.2)
323 (3.7)
 Heart failure
230 (2.1)
161 (1.8)
 Arteriosclerosis obliterans
139 (1.3)
99 (1.1)
 Cerebrovascular disease
261 (2.4)
201 (2.3)
 Hypertension
6183 (55.9)
4921 (56.0)
 Dyslipidemia (hyperlipidemia)
7055 (63.8)
5657 (64.4)
 Osteoporosis
184 (1.7)
142 (1.6)
 Hyperuricemia
1042 (9.4)
812 (9.2)
 Urinary tract infection
21 (0.2)
18 (0.2)
 Genital infection
8 (0.1)
6 (0.1)
 Malignant tumor
79 (0.7)
62 (0.7)
 Other
4050 (36.6)
3264 (37.1)
Hepatic function status*
 Normal
8320 (75.3)
6525 (74.2)
 Mild impairment
2110 (19.1)
1761 (20.0)
 Moderate impairment
299 (2.7)
252 (2.9)
 Severe impairment
10 (0.1)
9 (0.1)
 Unknown
312 (2.8)
241 (2.7)
Renal function status*
 Normal
9215 (83.4)
7338 (83.7)
 Mild impairment
1396 (12.6)
1110 (12.6)
 Moderate impairment
125 (1.1)
98 (1.1)
 Severe impairment
10 (0.1)
7 (0.1)
 Unknown
305 (2.8)
235 (2.7)
eGFR, mL/min/1.73 m2
 n
6757
5682
 
82.1 ± 21.7
82.4 ± 21.5
eGFR, category, mL/min/1.73 m2
 ≥ 90
2162 (19.6)
1841 (20.9)
 ≥ 60 to < 90
3685 (33.3)
3117 (35.5)
 ≥ 45 to < 60
722 (6.5)
582 (6.6)
 ≥ 30 to < 45
155 (1.4)
120 (1.4)
 < 30
33 (0.3)
22 (0.3)
 Unknown
4294 (38.9)
3106 (35.3)
*Judged by the attending physician using the classification criteria for seriousness of adverse drug reactions of pharmaceuticals [33]
BMI body mass index, eGFR estimated glomerular filtration rate, SD standard deviation
Table 2
Treatments used at baseline and during the survey period
 
Number of patients (%) or mean ± SD
Safety analysis set
Efficacy analysis set
Total
 –
11,051 (100.0)
8788 (100.0)
Initial dose of ipragliflozin, mg
 25
1421 (12.9)
0
 50
9612 (87.0)
8788 (100.0)
 75
0
0
 100
14 (0.1)
0
 Other
4 (0.0)
0
Daily dose of ipragliflozin, mg
 n
11,051
8788
 
47.5 ± 8.5
50.3 ± 2.8
Concomitant treatment
 Concomitant antidiabetic drugs
  No
1964 (17.8)
1489 (16.9)
  Yes
9006 (81.5)
7248 (82.5)
  Unknown
81 (0.7)
51 (0.6)
 Number of concomitant antidiabetic drugs
  n
11,051
8788
 
1.6 ± 1.2
1.6 ± 1.2
  Max
6
6
  Min
0
0
  0
2189 (19.8)
1680 (19.1)
  1
3129 (28.3)
2441 (27.8)
  2
3195 (28.9)
2613 (29.7)
  3
1837 (16.6)
1487 (16.9)
  ≥ 4
619 (5.6)
515 (5.9)
  Unknown
82 (0.7)
52 (0.6)
 Type of concomitant antidiabetic drugs (some patients had more than one concomitant drug)
  DPP-4 inhibitor
6222 (56.3)
5028 (57.2)
  Metformin
4670 (42.3)
3891 (44.3)
  Sulfonylurea
3117 (28.2)
2474 (28.2)
  Insulin injection
1213 (11.0)
1003 (11.4)
  α-Glucosidase inhibitor
1150 (10.4)
918 (10.4)
  Thiazolidinedione
949 (8.6)
774 (8.8)
  GLP-1 receptor agonist
380 (3.4)
333 (3.8)
  Fast-acting insulin secretagogue
340 (3.1)
279 (3.2)
  Others
840 (7.6)
657 (7.5)
 Concomitant diuretics
  No
10,108 (91.5)
8065 (91.8)
  Yes
839 (7.6)
643 (7.3)
  Unknown
104 (0.9)
80 (0.9)
 Type of concomitant diuretics (some patients had more than one concomitant drug)
  Thiazide diuretic
215 (1.9)
168 (1.9)
  Loop diuretic
204 (1.8)
151 (1.7)
  Potassium-sparing diuretic
172 (1.6)
133 (1.5)
  Vasopressin antagonist
6 (0.1)
5 (0.1)
  Osmotic diuretic
1 (0.0)
0
  Carbonate dehydratase inhibitor
0
0
  Others
365 (3.3)
287 (3.3)
 Other concomitant drugs
  No
3051 (27.6)
2436 (27.7)
  Yes
7876 (71.3)
6275 (71.4)
  Unknown
124 (1.1)
77 (0.9)
 Type of other concomitant drugs (some patients had more than one concomitant drug)
  Antihypertensive drug
4934 (44.6)
3923 (44.6)
  ARB
2519 (22.8)
2019 (23.0)
  CCB
2306 (20.9)
1790 (20.4)
  ARB + CCB
1373 (12.4)
1107 (12.6)
  Statin
4151 (37.6)
3280 (37.3)
  Antiplatelet drug
974 (8.8)
737 (8.4)
  Antipeptic ulcer drug
989 (8.9)
790 (9.0)
  Antihyperuricemic drug
726 (6.6)
564 (6.4)
  Others
3801 (34.4)
3002 (34.2)
ARB angiotensin receptor blocker, CCB calcium channel blocker, DPP-4 dipeptidyl peptidase-4, GLP-1 glucagon-like peptide-1, SD standard deviation

Vital Signs

The changes from baseline in vital signs are shown in Table 3. Statistically significant decreases (all P < 0.05) were observed in systolic blood pressure (− 4.3 ± 14.6 mmHg), diastolic blood pressure (− 2.6 ± 10.0 mmHg), and heart rate (− 0.9 ± 9.4 beats/min) from baseline to 12 months.
Table 3
Changes from baseline in vital signs and laboratory parameters
Parameters
Actual value
Change from baseline
Baseline
12 months
1 month
3 months
6 months
12 months
SBP (mmHg)
133.3 ± 15.1 (n = 7161)
129.3 ± 13.5 (n = 5418)
− 3.8 ± 13.3* (n = 5185)
− 3.8 ± 14.0* (n = 6303)
− 3.4 ± 14.6* (n = 5315)
− 4.3 ± 14.6* (n = 4973)
DBP (mmHg)
78.4 ± 11.0 (n = 7159)
75.9 ± 10.2 (n = 5414)
− 1.9 ± 9.4* (n = 5184)
− 2.0 ± 9.7* (n = 6300)
− 1.7 ± 10.1* (n = 5309)
− 2.6 ± 10.0* (n = 4968)
Heart rate (beats/min)a
77.9 ± 12.3 (n = 5191)
76.5 ± 11.6 (n = 4040)
− 0.6 ± 8.7* (n = 3481)
− 0.8 ± 9.1* (n = 4270)
− 0.9 ± 9.4* (n = 3593)
− 0.9 ± 9.4* (n = 3325)
AST (GOT) (U/L)
30.2 ± 19.4 (n = 5823)
25.5 ± 14.3 (n = 4381)
− 1.9 ± 12.1* (n = 3253)
− 3.4 ± 14.0* (n = 4652)
− 4.5 ± 15.1* (n = 3998)
− 4.6 ± 16.3* (n = 3799)
ALT (GPT) (U/L)
38.2 ± 29.1 (n = 5892)
30.3 ± 22.8 (n = 4439)
− 3.2 ± 14.7* (n = 3280)
− 5.8 ± 18.7* (n = 4735)
− 7.4 ± 20.2* (n = 4053)
− 7.9 ± 21.1* (n = 3868)
γ-GTP (U/L)
58.7 ± 70.8 (n = 5433)
47.2 ± 65.8 (n = 4082)
− 7.9 ± 29.9* (n = 2990)
− 9.2 ± 40.0* (n = 4308)
− 10.6 ± 40.6* (n = 3655)
− 10.9 ± 42.2* (n = 3493)
Total cholesterol (mg/dL)
196.8 ± 40.0 (n = 3732)
192.5 ± 34.8 (n = 2750)
− 4.8 ± 28.8* (n = 2018)
− 1.9 ± 28.6* (n = 2941)
− 0.8 ± 30.9 (n = 2457)
− 2.5 ± 30.7* (n = 2309)
LDL-C (mg/dL)
114.6 ± 31.9 (n = 5349)
110.1 ± 28.5 (n = 4073)
− 3.3 ± 23.1* (n = 2937)
− 1.7 ± 24.5* (n = 4238)
− 2.4 ± 26.0* (n = 3631)
− 4.0 ± 26.7* (n = 3436)
HDL-C (mg/dL)
50.8 ± 13.6 (n = 5592)
53.9 ± 14.7 (n = 4239)
0.3 ± 7.0* (n = 3152)
1.4 ± 8.3* (n = 4498)
3.1 ± 8.8* (n = 3867)
2.9 ± 9.2* (n = 3660)
Triglyceride (mg/dL)
197.0 ± 184.3 (n = 5861)
175.5 ± 164.9 (n = 4411)
− 18.1 ± 156.2* (n = 3321)
− 16.6 ± 156.2* (n = 4722)
− 18.9 ± 143.1* (n = 4070)
− 16.3 ± 143.2* (n = 3847)
Uric acid (mg/dL)
5.3 ± 1.3 (n = 5191)
5.0 ± 1.2 (n = 3905)
− 0.35 ± 0.91* (n = 2809)
− 0.29 ± 0.90* (n = 4077)
− 0.32 ± 0.93* (n = 3461)
− 0.29 ± 0.95* (n = 3297)
Hematocrit (%)a
43.1 ± 4.3 (n = 6078)
45.1 ± 4.3 (n = 4711)
1.0 ± 2.2* (n = 3176)
1.6 ± 2.6* (n = 4609)
1.9 ± 2.7* (n = 3907)
1.9 ± 2.8* (n = 3753)
BUN (mg/dL)a
14.8 ± 4.5 (n = 5853)
16.0 ± 4.4 (n = 4497)
0.7 ± 3.5* (n = 3125)
0.8 ± 3.6* (n = 4491)
1.0 ± 3.7* (n = 3781)
1.2 ± 3.7* (n = 3645)
Serum Cr (mg/dL)a
0.74 ± 0.22 (n = 6757)
0.75 ± 0.23 (n = 5232)
0.03 ± 0.09* (n = 3620)
0.02 ± 0.09* (n = 5300)
0.02 ± 0.10* (n = 4462)
0.02 ± 0.10* (n = 4292)
Results are presented as the mean ± standard deviation (number of patients)
ALT alanine aminotransferase, AST aspartate aminotransferase, BUN blood urea nitrogen, Cr creatinine, DBP diastolic blood pressure, γ-GTP γ-glutamyl transpeptidase, GOT glutamic oxaloacetic transaminase, GPT glutamate-pyruvate transaminase, HDL-C high-density lipoprotein cholesterol, LDL-C low-density lipoprotein cholesterol, SBP systolic blood pressure
*P < 0.05 vs. baseline (paired t test)
aSafety analysis set data; all other parameters were calculated on the basis of the efficacy analysis set data

Laboratory Variables

The changes from baseline in laboratory parameters are shown in Table 3. Significant decreases (both P < 0.05) were observed in AST (− 4.6 ± 16.3 U/L) and ALT (− 7.9 ± 21.1 U/L) levels from baseline to 12 months. Mean changes in total cholesterol (− 2.5 ± 30.7 mg/dL), low-density lipoprotein cholesterol (− 4.0 ± 26.7 mg/dL), and triglyceride levels (− 16.3 ± 143.2 mg/dL) showed significant decreases (all P < 0.05), and mean changes in high-density lipoprotein cholesterol (2.9 ± 9.2 mg/dL) showed a significant increase from baseline to 12 months. Mean changes in serum uric acid concentration (− 0.29 ± 0.95 mg/dL) also showed a significant decrease (P < 0.05) from baseline to 12 months. Mean changes in hematocrit (1.9 ± 2.8%) and blood urea nitrogen (1.2 ± 3.7 mg/dL) showed a significant increase (P < 0.05) from baseline to 12 months. Changes in eGFR from baseline are shown in Fig. 2a. The eGFR decreased significantly (− 2.3 ± 11.2 mL/min/1.73 m2) at 12 months from a baseline value of 82.1 ± 21.7 mL/min/1.73 m2 (P < 0.001).

Safety

Safety was assessed in 11,051 patients in the safety analysis set. ADRs are listed in Table 4 by SOC, together with the rates of these ADRs in clinical trials prior to ipragliflozin approval [1924]. Overall, 2239 ADRs in 1616 patients were reported with an incidence rate of 14.6%. The most common class of ADRs was renal and urinary disorders, which occurred in 644 patients (5.8%), followed by investigations in 205 patients (1.9%), infections and infestations in 201 patients (1.8%), metabolism and nutrition disorders in 161 patients (1.5%), and skin and subcutaneous tissue disorders in 147 patients (1.3%). All other classes of ADRs occurred in less than 1% of patients. In the present survey, no new unreported safety concerns were observed.
Table 4
Adverse drug reactions reported during the survey period
 
STELLA-LONG TERM
Pre-approval clinical trials
Number of patients
11,051
1669
Number of patients with ADRs
1616
549
Number of ADRs
2239
887
Incidence rate ADRs
14.6%
32.9%
System organ class
 Infections and infestations
201 (1.8)
64 (3.8)
 Neoplasms benign, malignant, and unspecified (incl. cysts and polyps)
25 (0.23)
4 (0.24)
 Blood and lymphatic system disorders
9 (0.08)
8 (0.48)
 Immune system disorders
1 (0.01)
0
 Endocrine disorders
1 (0.01)
0
 Metabolism and nutrition disorders
161 (1.5)
20 (1.2)
 Psychiatric disorders
9 (0.08)
3 (0.18)
 Nervous system disorders
74 (0.67)
42 (2.5)
 Eye disorders
8 (0.07)
17 (1.0)
 Ear and labyrinth disorders
1 (0.01)
5 (0.30)
 Cardiac disorders
31 (0.28)
10 (0.60)
 Vascular disorders
34 (0.31)
7 (0.42)
 Respiratory, thoracic, and mediastinal disorders
11 (0.10)
7 (0.42)
 Gastrointestinal disorders
100 (0.90)
101 (6.1)
 Hepatobiliary disorders
70 (0.63)
8 (0.48)
 Skin and subcutaneous tissue disorders
147 (1.3)
48 (2.9)
 Musculoskeletal and connective tissue disorders
23 (0.21)
13 (0.78)
 Renal and urinary disorders
644 (5.8)
176 (10.6)
 Reproductive system and breast disorders
88 (0.80)
25 (1.5)
 General disorders and administration site conditions
72 (0.65)
101 (6.1)
 Investigations
205 (1.9)
133 (8.0)
 Injury, poisoning, and procedural complications
10 (0.09)
0
Data are presented as number of events (%)
Coded using MedDRA/J Ver.20.1
ADR adverse drug reaction, MedDRA Medical Dictionary for Regulatory Activities
Serious ADRs reported during the survey period are shown in Table 5. Overall, serious ADRs were observed in 107 patients (0.97%). These included nervous system disorders (21 cases in total: cerebral infarction, 11; lacunar infarction, 3; cerebral hemorrhage, 2; depressed level of consciousness, dizziness, somnolence, transient ischemic attack, and putamen hemorrhage, 1 each); neoplasms benign, malignant, and unspecified (20 cases in total: pancreatic carcinoma, 6; colon cancer, 5; breast cancer female, 2; metastases to lymph nodes, pancreatic carcinoma metastatic, squamous cell carcinoma of skin, lung neoplasm malignant, prostate cancer, lung neoplasm, thyroid cancer, and intraductal proliferative breast lesion, 1 each); cardiac disorders (19 cases in total: acute myocardial infarction and myocardial infarction, 5 each; angina unstable, 3; angina pectoris and cardiac failure congestive, 2 each; atrial fibrillation, cardiovascular disorder, and coronary artery disease, 1 each); infections and infestations (9 cases in total: urinary tract infection, 3; pyelonephritis acute, 2; Escherichia sepsis, liver abscess, peritonsillar abscess, pneumonia, and genital herpes simplex, 1 each); hepatobiliary disorders (7 cases in total: cholecystitis and hepatic cirrhosis, 2 each; cholecystitis acute, cholelithiasis, jaundice cholestatic, and liver disorder, 1 each); metabolism and nutrition disorders (6 cases in total: dehydration and hypoglycemia, 2 each; hyperglycemia and hyperphagia, 1 each); renal and urinary disorders (6 cases in total: renal disorder, 2; hematuria, neurogenic bladder, renal vessel disorder, and ureterolithiasis, 1 each); skin and subcutaneous tissue disorders (4 cases in total: drug eruption, eczema, skin ulcer, and urticaria, 1 each); injury, poisoning, and procedural complications (4 cases in total: fall, femoral neck fracture, foot fracture, ligament sprain; road traffic accident; subarachnoid hemorrhage; contusion and brain contusion, 1 each); eye disorders (3 cases in total: retinal hemorrhage, 2; diabetic retinopathy, 1); vascular disorders (3 cases in total: hypertension, 2; varicose vein, 1); gastrointestinal disorders (3 cases in total: duodenal ulcer, gastric ulcer hemorrhage, gastroesophageal reflux disease, and pancreatitis acute, 1 each); psychiatric disorders (2 cases of depression); endocrine disorders (1 case of hypothyroidism); ear and labyrinth disorders (1 case of sudden hearing loss); reproductive system and breast disorders (1 case of prostatitis); general disorders and administration site conditions (1 case of thirst); and investigations (1 case of gamma-glutamyl transferase increased).
Table 5
Serious adverse drug reactions reported during the survey period
 
STELLA-LONG TERM
Pre-approval clinical trials
Number of patients with serious ADRs
107
14
Number of serious ADRs
121
15
Incidence rate of serious ADRs
0.97%
0.84%
System organ class
 MedDRA preferred term
Infections and infestations
9 (0.08)
2 (0.12)
 Escherichia sepsis
1 (0.01)
0
 Liver abscess
1 (0.01)
0
 Peritonsillar abscess
1 (0.01)
0
 Pneumonia
1 (0.01)
0
 Pyelonephritis
0
2 (0.12)
 Pyelonephritis acute
2 (0.02)
0
 Urinary tract infection
3 (0.03)
0
 Genital herpes simplex
1 (0.01)
0
Neoplasms benign, malignant, and unspecified (incl. cysts and polyps)
20 (0.18)
3 (0.18)
 Colon cancer
5 (0.05)
1 (0.06)
 Metastases to lymph nodes
1 (0.01)
0
 Pancreatic carcinoma
6 (0.05)
0
 Pancreatic carcinoma metastatic
1 (0.01)
0
 Squamous cell carcinoma of skin
1 (0.01)
0
 Uterine cancer
0
1 (0.06)
 Breast cancer female
2 (0.02)
0
 Lung neoplasm malignant
1 (0.01)
0
 Prostate cancer
1 (0.01)
1 (0.06)
 Lung neoplasm
1 (0.01)
0
 Thyroid cancer
1 (0.01)
0
 Intraductal proliferative breast lesion
1 (0.01)
0
Blood and lymphatic system disorders
0
1 (0.06)
 Hemolytic anemia
0
1 (0.06)
Endocrine disorders
1 (0.01)
0
 Hypothyroidism
1 (0.01)
0
Metabolism and nutrition disorders
6 (0.05)
0
 Dehydration
2 (0.02)
0
 Hyperglycemia
1 (0.01)
0
 Hyperphagia
1 (0.01)
0
 Hypoglycemia
2 (0.02)
0
Psychiatric disorders
2 (0.02)
0
 Depression
2 (0.02)
0
Nervous system disorders
21 (0.19)
1 (0.06)
 Cerebral hemorrhage
2 (0.02)
0
 Cerebral infarction
11 (0.10)
1 (0.06)
 Depressed level of consciousness
1 (0.01)
0
 Dizziness
1 (0.01)
0
 Somnolence
1 (0.01)
0
 Transient ischemic attack
1 (0.01)
0
 Lacunar infarction
3 (0.03)
0
 Putamen hemorrhage
1 (0.01)
0
Eye disorders
3 (0.03)
0
 Diabetic retinopathy
1 (0.01)
0
 Retinal hemorrhage
2 (0.02)
0
Ear and labyrinth disorders
1 (0.01)
0
 Sudden hearing loss
1 (0.01)
0
Cardiac disorders
19 (0.17)
2 (0.12)
 Acute myocardial infarction
5 (0.05)
1 (0.06)
 Angina pectoris
2 (0.02)
0
 Angina unstable
3 (0.03)
1 (0.06)
 Atrial fibrillation
1 (0.01)
0
 Cardiac failure congestive
2 (0.02)
0
 Cardiovascular disorder
1 (0.01)
0
 Coronary artery disease
1 (0.01)
0
 Myocardial infarction
5 (0.05)
0
Vascular disorders
3 (0.03)
0
 Hypertension
2 (0.02)
0
 Varicose vein
1 (0.01)
0
Gastrointestinal disorders
3 (0.03)
1 (0.06)
 Duodenal ulcer
1 (0.01)
0
 Gastric ulcer hemorrhage
1 (0.01)
0
 Gastroesophageal reflux disease
1 (0.01)
0
 Pancreatitis acute
1 (0.01)
0
 Upper gastrointestinal hemorrhage
0
1 (0.06)
Hepatobiliary disorders
7 (0.06)
0
 Cholecystitis
2 (0.02)
0
 Cholecystitis acute
1 (0.01)
0
 Cholelithiasis
1 (0.01)
0
 Hepatic cirrhosis
2 (0.02)
0
 Jaundice cholestatic
1 (0.01)
0
 Liver disorder
1 (0.01)
0
Skin and subcutaneous tissue disorders
4 (0.04)
0
 Drug eruption
1 (0.01)
0
 Eczema
1 (0.01)
0
 Skin ulcer
1 (0.01)
0
 Urticaria
1 (0.01)
0
Renal and urinary disorders
6 (0.05)
3 (0.18)
 Hematuria
1 (0.01)
0
 Nephrolithiasis
0
1 (0.06)
 Neurogenic bladder
1 (0.01)
0
 Renal disorder
2 (0.02)
1 (0.06)
 Renal vessel disorder
1 (0.01)
0
 Ureterolithiasis
1 (0.01)
1 (0.06)
Reproductive system and breast disorders
1 (0.01)
0
 Prostatitis
1 (0.01)
0
General disorders and administration site conditions
1 (0.01)
2 (0.12)
 Death
0
1 (0.06)
 Pain
0
1 (0.06)
 Thirst
1 (0.01)
0
Investigations
1 (0.01)
0
 Gamma-glutamyl transferase increased
1 (0.01)
0
Injury, poisoning, and procedural complications
4 (0.04)
0
 Fall
1 (0.01)
0
 Femoral neck fracture
1 (0.01)
0
 Foot fracture
1 (0.01)
0
 Ligament sprain
1 (0.01)
0
 Road traffic accident
1 (0.01)
0
 Subarachnoid hemorrhage
1 (0.01)
0
 Contusion
1 (0.01)
0
 Brain contusion
1 (0.01)
0
Data are presented as number of events (%)
The numbers of patients under each system organ class (SOC) category do not necessarily add up to the total number of patients for each SOC category because some patients experienced more than one ADR
Coded using MedDRA/J Ver.20.1
ADR adverse drug reaction, MedDRA Medical Dictionary for Regulatory Activities
ADRs of special interest are shown in Table 6. The incidence of these ranged from 0.02% (fracture) to 5.2% (polyuria/pollakiuria). Although 571 patients (5.2%) reported polyuria/pollakiuria, only one of these events was considered serious. These included 438 pollakiuria ADRs (4.0%) and 293 polyuria ADRs (2.7%). Volume depletion-related events, including dehydration, were reported in 196 patients (1.8%), and nine (0.08%) events were considered serious. ADRs associated with volume depletion included pollakiuria (26 ADRs, 0.24%), polyuria (16 ADRs, 0.14%), thirst (16 ADRs, 0.14%), cerebral infarction (three ADRs, 0.03%), and lacunar infarction (one ADR, 0.01%). Skin complications were reported in 166 patients (1.5%), of which four (0.04%) cases were considered serious. Skin complication-related ADRs included drug eruption (42 ADRs, 0.38%), pruritus (34 ADRs, 0.31%), pruritus genital (25 ADRs, 0.23%), rash (18 ADRs, 0.16%), and eczema (17 ADRs, 0.15%). Genital infection was reported in 135 patients (1.2%), of which two (0.02%) cases were considered serious. Genital infection-related ADRs included pruritus genital (40 ADRs, 0.36%), vulvovaginal candidiasis (28 ADRs, 0.25%), and female genital infection (20 ADRs, 0.18%). Urinary tract infection was reported in 115 patients (1.0%), of which five (0.05%) cases were considered serious. ADRs associated with urinary tract infection included cystitis (56 ADRs, 0.51%) and urinary tract infection (42 ADRs, 0.38%). Renal disorder was reported in 115 patients (1.0%), of which three (0.03%) cases were considered serious. Renal disorder-related ADRs included renal disorder (27 ADRs, 0.24%) and renal dysfunction (26 ADRs, 0.24%). Hepatic disorder was reported in 82 patients (0.74%), of which six (0.05%) cases were considered serious. ADRs associated with hepatic disorder included hepatic disorder (30 ADRs, 0. 27%) and hepatic dysfunction (28 ADRs, 0. 25%). Hypoglycemia was reported in 39 patients (0.35%), of which three (0.03%) cases were considered serious. ADRs associated with hypoglycemia included hypoglycemia (32 ADRs, 0.29%). Cardiovascular disease was reported in 30 patients (0.27%), of which 19 (0.17%) cases were considered serious. The most common ADRs associated with cardiovascular disease were acute myocardial infarction (five ADRs, 0.05%), myocardial infarction (five ADRs, 0.05%), angina pectoris (four ADRs, 0.04%), unstable angina pectoris (three ADRs, 0.03%), atrial fibrillation (three ADRs, 0.03%), and congestive heart failure (three ADRs, 0.03%). Cerebrovascular disease was reported in 23 patients (0.21%), of which 20 (0.18%) cases were considered serious. The most common ADRs associated with cerebrovascular disease were cerebral infarction (13 ADRs, 0.12%), lacunar infarction (three ADRs, 0.03%), transient ischemic attack (two ADRs, 0.02%), and cerebral hemorrhage (two ADRs, 0.02%). Malignant tumor was reported in 22 patients (0.20%), of which 19 (0.17%) cases were considered serious. ADRs associated with malignant tumors included pancreatic carcinoma (six ADRs, 0.05%) and colon cancer (five ADRs, 0.05%). Ketoacidosis (events related to ketone-body increase) was reported in three patients (0.03%); none of the cases were considered serious. ADRs associated with ketoacidosis included diabetic ketoacidosis (two ADRs, 0.02%) and ketosis (one ADR, 0.01%). Fracture was reported in two patients (0.02%), of which one case was considered serious (0.01%). ADRs associated with fracture included ankle fracture, femoral neck fracture, and foot fracture (one ADR each, 0.01% each). No serious ADRs occurred in at least 1% of patients.
Table 6
Adverse drug reactions of special interest
 
STELLA-LONG TERM (safety analysis set n = 11,051)
Pre-approval clinical trials
Total number of patients experiencing an ADR
 
Serious
 
Non-serious
 
Total (n =  1669)
All ADRs
1616
(14.6)
107
(0.97)
1539
(13.9)
(32.9)
ADRs of special interest
 Polyuria/pollakiuria
571
(5.2)
1
(0.01)
570
(5.2)
(10.0)
 Volume depletion-related events, including dehydration
196
(1.8)
9
(0.08)
189
(1.7)
(4.5)
 Skin complications
166
(1.5)
4
(0.04)
162
(1.5)
(4.0)
 Genital infection
135
(1.2)
2
(0.02)
133
(1.2)
(2.0)
 Urinary tract infection
115
(1.0)
5
(0.05)
110
(1.0)
(1.8)
 Renal disorder
115
(1.0)
3
(0.03)
112
(1.0)
(4.8)
 Hepatic disorder
82
(0.74)
6
(0.05)
78
(0.71)
(1.0)
 Hypoglycemia
39
(0.35)
3
(0.03)
36
(0.33)
(1.4)
 Cardiovascular diseasea
30
(0.27)
19
(0.17)
11
(0.10)
(1.0)
 Cerebrovascular diseaseb
23
(0.21)
20
(0.18)
3
(0.03)
(0.2)
 Malignant tumor
22
(0.20)
19
(0.17)
3
(0.03)
(0.2)
 Ketoacidosis, events related to ketone-body increase
3
(0.03)
0
(0.00)
3
(0.03)
(1.0)
 Fracture
2
(0.02)
1
(0.01)
1
(0.01)
0
Data are presented as number of events (%), unless otherwise indicated
ADR adverse drug reaction
aIncidence of cardiovascular disease was 4.4/1000 person-years [34] and 9.59/1000 person-years [35] in the JDDM and JDCS studies, respectively
bIncidence of cerebrovascular disease was 3.1/1000 person-years [34] and 7.45/1000 person-years [35] in the JDDM and JDCS studies, respectively
The time to onset of ADRs of special interest is shown in Table 7.The cumulative proportion of ADRs that occurred within 90 days from the start of treatment was 64.6% for all events (1447/2239 events), 89.4% for polyuria/pollakiuria (701/784 events), 74.7% for skin complications (127/170 events), 64.3% for hypoglycemia (27/42 events), and 61.4% for genital infection (86/140 events).
Table 7
Time to onset of adverse drug reactions of special interest
 
< 7 days
7–< 15 days
15–< 30 days
30–< 45 days
45–< 60 days
60–< 90 days
90–< 180 days
180–< 270 days
270–< 360 days
360–< 720 days
Unknown
All ADRs (2239 events)
448 (20.0)
212 (9.5)
315 (14.1)
195 (8.7)
101 (4.5)
176 (7.9)
317 (14.2)
201 (8.0)
185 (7.4)
72 (3.5)
30 (1.3)
ADRs of special interest
 Hypoglycemia (42 events)
7 (16.7)
6 (14.3)
3 (7.1)
1 (2.4)
3 (7.1)
7 (16.7)
3 (7.1)
4 (9.5)
5 (11.9)
3 (7.1)
0
 Genital infection (140 events)
14 (10.0)
15 (10.7)
21 (15.0)
10 (7.1)
9 (6.4)
17 (12.1)
23 (16.4)
17 (12.1)
11 (7.9)
3 (2.1)
0
 Urinary tract infection (117 events)
3 (2.6)
9 (7.7)
23 (19.7)
4 (3.4)
7 (6.0)
16 (13.7)
30 (25.6)
15 (12.8)
9 (7.7)
1 (0.9)
0
 Polyuria/pollakiuria (784 events)
320 (40.8)
97 (12.4)
142 (18.1)
86 (11.0)
31 (4.0)
25 (3.2)
46 (5.9)
17 (2.2)
10 (1.3)
4 (0.5)
6 (0.8)
 Volume depletion (238 events)
33 (13.9)
7 (2.9)
40 (16.8)
30 (12.6)
8 (3.4)
27 (11.3)
42 (17.6)
19 (8.0)
12 (5.0)
11 (4.6)
9 (3.8)
 Renal disorder (123 events)
1 (0.8)
5 (4.1)
17 (13.8)
11 (8.9)
7 (5.7)
16 (13.0)
27 (22.0)
16 (13.0)
10 (8.1)
12 (9.8)
1 (0.8)
 Hepatic disorder (87 events)
1 (1.1)
1 (1.1)
12 (13.8)
10 (11.5)
6 (6.9)
9 (10.3)
22 (25.3)
10 (11.5)
7 (8.0)
8 (9.2)
1 (1.1)
 Fracture (3 events)
0
0
0
0
0
1 (33.3)
0
1 (33.3)
1 (33.3)
0
0
 Malignant tumor (23 events)
0
0
0
0
0
1 (4.3)
5 (21.7)
7 (30.4)
3 (13.0)
2 (8.7)
5 (21.7)
 Cardiovascular disease (32 events)
1 (3.1)
0
3 (9.4)
1 (3.1)
4 (12.5)
2 (6.3)
4 (12.5)
5 (15.6)
8 (25.0)
4 (12.5)
0
 Cerebrovascular disease (23 events)
0
2 (8.7)
0
1 (4.3)
1 (4.3)
3 (13.0)
5 (21.7)
4 (17.4)
5 (21.7)
2 (8.7)
0
 Skin complications (170 events)
48 (28.2)
31 (18.2)
18 (10.6)
5 (2.9)
9 (5.3)
16 (9.4)
22 (12.9)
11 (6.5)
7 (4.1)
1 (0.6)
2 (1.2)
 Ketone body-related events (3 events)
0
0
1 (33.3)
0
0
0
0
1 (33.3)
1 (33.3)
0
0
Number of events (%). In patients who experienced a recurrence of an adverse drug reaction, the date of onset was defined as the first occurrence
ADRs of special interest according to treatment status are shown in Table 8. The incidence rate of ADRs was highest among patients with continued treatment status (61.0%), followed by patients with interruption or discontinuation of treatment due to an ADR (38.5%). For all other treatment status categories, the incidence rate of ADRs was less than 4%. Among patients with interruption or discontinuation of treatment due to the event, the incidence rate of skin complications was 81.3% (135/166 patients); ketoacidosis was 66.7% (2/3 patients); genital infection was 57.0% (77/135 patients); and fracture was 50% (1/2 patients). The outcomes of ADRs of special interest are shown in Table 9.
Table 8
Adverse drug reactions of special interest according to treatment status
 
Total number of patients experiencing an ADR
Ipragliflozin treatment status
Continued
Dose reduction
Interruption or discontinuation due to the event
Interruption or discontinuation for other reasons
Completion of treatment before ADR
Unknown
All ADRs
1616
986
(61.0)
20
(1.2)
622
(38.5)
57
(3.5)
7
(0.4)
7
(0.4)
ADRs of special interest
 Skin complications
166
30
(18.1)
1
(0.6)
135
(81.3)
0
(0.0)
0
(0.0)
0
(0.0)
 Ketoacidosis, events related to ketone-body increase
3
1
(33.3)
0
(0.0)
2
(66.7)
0
(0.0)
0
(0.0)
0
(0.0)
 Genital infection
135
58
(43.0)
1
(0.7)
77
(57.0)
0
(0.0)
1
(0.7)
0
(0.0)
 Fracture
2
2
(100.0)
0
(0.0)
1
(50.0)
0
(0.0)
0
(0.0)
0
(0.0)
 Hypoglycemia
39
20
(51.3)
2
(5.1)
18
(46.2)
1
(2.6)
0
(0.0)
0
(0.0)
 Urinary tract infection
115
64
(55.7)
0
(0.0)
53
(46.1)
1
(0.9)
0
(0.0)
0
(0.0)
 Cerebrovascular disease
23
8
(34.8)
1
(4.4)
10
(43.5)
2
(8.7)
0
(0.0)
2
(8.7)
 Cardiovascular disease
30
16
(53.3)
0
(0.0)
13
(43.3)
0
(0.0)
0
(0.0)
1
(3.3)
 Volume depletion-related events, including dehydration
196
121
(61.7)
2
(1.0)
72
(36.7)
7
(3.6)
0
(0.0)
0
(0.0)
 Polyuria/pollakiuria
571
413
(72.3)
10
(1.8)
132
(23.1)
19
(3.3)
0
(0.0)
0
(0.0)
 Malignant tumor
22
14
(63.6)
0
(0.0)
4
(18.2)
1
(4.5)
1
(4.5)
2
(9.1)
 Renal disorder
115
92
(80.0)
0
(0.0)
17
(14.8)
6
(5.2)
0
(0.0)
1
(0.9)
 Hepatic disorder
82
65
(79.3)
0
(0.0)
11
(13.4)
5
(6.1)
2
(2.4)
1
(1.2)
Data are presented as number of events (%) unless otherwise specified. If a patient experienced two or more ADRs within the same category and the treatment status was different, they were counted into respective categories
ADR adverse drug reaction
Table 9
Outcomes of adverse drug reactions of special interest
 
Total
Outcome
Resolved
Remission
Not recovered
Sequelae
Death
Unknown
All ADRs
2239
1206
(53.9)
707
(31.6)
202
(9.0)
8
(0.4)
9
(0.4)
107
(4.8)
ADRs of special interest
 Hypoglycemia
42
38
(90.5)
4
(9.5)
0
 
0
 
0
 
0
 
 Genital infection
140
98
(70.0)
33
(23.6)
6
(4.3)
0
 
0
 
3
(2.1)
 Urinary tract infection
117
96
(82.1)
19
(16.2)
1
(0.9)
0
 
0
 
1
(0.9)
 Polyuria/pollakiuria
784
313
(39.9)
353
(45.0)
88
(11.2)
0
 
0
 
30
(3.8)
 Volume depletion
238
152
(63.9)
70
(29.4)
10
(4.2)
1
(0.4)
0
 
5
(2.1)
 Renal disorder
123
59
(48.0)
31
(25.2)
17
(13.8)
0
 
0
 
16
(13.0)
 Hepatic disorder
87
43
(49.4)
12
(13.8)
16
(18.4)
0
 
1
(1.1)
15
(17.2)
 Fracture
3
1
(33.3)
2
(66.7)
0
 
0
 
0
 
0
 
 Malignant tumor
23
4
(17.4)
6
(26.1)
3
(13.0)
0
 
5
(21.7)
5
(21.7)
 Cardiovascular disease
32
15
(46.9)
11
(34.4)
3
(9.4)
0
 
2
(6.3)
1
(3.1)
 Cerebrovascular disease
23
8
(34.8)
6
(26.1)
0
 
8
(34.8)
0
 
1
(4.3)
 Skin complications
170
121
(71.2)
42
(24.7)
7
(4.1)
0
 
0
 
0
 
 Ketone body-related events
3
2
(66.7)
1
(33.3)
0
 
0
 
0
 
0
 
Data are presented as number of events (%)

Effectiveness

The changes in HbA1c, fasting plasma glucose, and body weight from baseline to 12 months are shown in Fig. 2b–d, respectively. The baseline value of HbA1c was 8.1 ± 2.8% and that of fasting plasma glucose was 167.1 ± 59.8 mg/dL. The improvement in glycemic control was statistically significant (both P < 0.001 vs. baseline) at 12 months, with sustained mean reductions from baseline in HbA1c (− 0.8 ± 1.2%) and fasting plasma glucose (− 31.9 ± 54.7 mg/dL). Statistically significant sustained reductions (P < 0.001 vs. baseline) in body weight (− 2.9 ± 3.7 kg) were also observed. A significant sustained decrease (P = 0.002 vs. baseline) in serum fasting insulin was observed, from 15.0 ± 20.0 μU/mL at baseline to 12.2 ± 10.8 μU/mL at 12 months (change − 4.9 ± 22.2 μU/mL).

Liver Function

Changes in AST and ALT from baseline to 12 months in patients with normal and abnormal liver function are shown in Fig. 3a, b, respectively. In patients with normal liver function at baseline, no clinically significant changes in AST and ALT were observed. In patients with abnormal liver function at baseline, clinically and statistically significant changes in AST (− 9.0 ± 19.0 U/L) and ALT (− 14.7 ± 24.8 U/L) levels were observed (P < 0.05 vs. baseline).
Table 10 shows the correlation between changes in ALT and other parameters in patients with abnormal liver function. No obvious correlation was observed between the changes in ALT and changes in other parameters in patients with abnormal liver function.
Table 10
Correlation between changes in ALT and other parameters in patients with abnormal liver function
 
n
Pearson correlation coefficient
P value
Changes in HbA1c
2145
0.149
< 0.001
Changes in fasting plasma glucose
1198
0.106
< 0.001
Changes in fasting insulin
103
0.103
0.302
Changes in body weight
1837
0.206
< 0.001
Changes in waist circumference
351
0.006
0.918
Changes in systolic blood pressure
1886
0.032
0.171
Changes in diastolic blood pressure
1884
0.081
< 0.001
Changes in total bilirubin
904
0.102
0.002
Changes in triglycerides
2018
0.050
0.023
ALT alanine aminotransferase, HbA1c glycated hemoglobin
Changes in the fatty liver index over time from baseline to 12 months are shown in Fig. 4. The fatty liver index decreased significantly from 64.4 ± 26.4 at baseline to 55.5 ± 27.9 at 12 months (− 8.7 ± 12.7, P < 0.001 vs. baseline).

Discussion

The STELLA-LONG TERM study is an ongoing 3-year post-marketing surveillance study. In this interim report, we present the safety and effectiveness results up to 12 months. Patient characteristics remained almost unchanged from those of the previous interim report for which 3-, 12-, and 24-month data were pooled [4]. Other antidiabetics were concomitantly used with ipragliflozin in many patients (81.5%). Drugs commonly used with ipragliflozin were DPP-4 inhibitors and metformin.
In the previous interim report [4], the incidence of ADRs was 10.7% (1184/11,053). However, in the present analysis conducted on the finalized data from all patients treated for 12 months, the incidence increased to 14.6% (1616/11,051). The incidence rates of ADRs were higher in clinical trials prior to ipragliflozin approval compared with those in the present survey for all SOC categories, except metabolism and nutrition disorders and hepatobiliary disorders.
The incidence rates of serious ADRs remained almost unchanged from those in the previous interim report [4]. There were 11 events of cerebral infarction and 6 events of pancreatic cancer, which was the most common tumor type among the malignant tumors. No cases of serious ketoacidosis or lower limb amputation were observed.
The overall incidence rate of ADRs in the present interim report (14.6%) was lower than that in clinical trials prior to ipragliflozin approval (32.9%) [1924]. This was also the case for individual ADRs; the incidence rate of each ADR was lower than that of clinical trials prior to ipragliflozin approval [1924]. Genital infection is considered a class effect of SGLT2 inhibitors, although a recent meta-analysis reported that rates of genital mycotic infection were significantly higher in patients who received daily canagliflozin (100 or 300 mg) vs sitagliptin (100 mg), a DPP-4 inhibitor [25]. In the present study, 28 ADRs of vulvovaginal candidiasis were reported (0.25%), though it remains to be determined whether this is comparable with other SGLT2 inhibitors.
Regarding the time to onset of ADRs, approximately 65% of all ADRs occurred within 90 days of the start of the medication. Nearly 90% of polyuria/pollakiuria events and nearly 75% of skin complications occurred within 90 days. There was no particular trend in the onset time of fractures or malignant tumors.
In the present interim report, we investigated ADRs of special interest according to treatment status. In 81.3% of patients who experienced skin complications, treatment was interrupted or discontinued because of the event. This finding is likely related to the recommendations issued by experts advising caution with the use of SGLT2 inhibitors, especially in regard to skin problems [26].
Most ADRs resolved in the majority of patients. However, this did not apply to cases of malignant tumors and cerebrovascular/cardiovascular diseases. Regarding the incidence rate of ADRs by patient demographic and clinical characteristics, the incidences of ADRs were high, mainly in patients with long duration of disease, patients receiving increased doses of ipragliflozin, patients using many concomitant medications, and patients with higher baseline HbA1c levels.
The extent of decreases in HbA1c and fasting plasma glucose levels observed in the early phase of treatment were maintained for 12 months. The low rate of discontinuations due to “no improvement or worsening” (3.5%) and the use of concomitant medications and/or optimal dose modifications under the close supervision of the attending physician may be attributed to the favorable glycemic control.
Although statistically significant changes from baseline to 12 months in vital signs and all other laboratory parameters were observed, some of these changes may not be clinically significant and may have resulted from the large sample size. Favorable changes in blood pressure, lipids, plasma glucose, and uric acid suggest that a favorable effect on cardiovascular event risk may be expected, although this remains to be confirmed when the 3-year data become available. Statistically significant reductions from baseline to 12 months in AST and ALT were observed for patients with abnormal liver function status at baseline, while no clinically significant changes were shown in patients with normal liver function. This finding is consistent with that observed in a previous interim report of liver function of the STELLA-LONG TERM study [6]. Previous studies on other SGLT2 inhibitors have also reported an improvement in liver function-related parameters (AST and ALT) [2730]. Taken together, these findings suggest that T2DM patients, especially those with abnormal liver function, may benefit from treatment with ipragliflozin.
No obvious correlation between ALT and change in each parameter was observed. This finding is consistent with that of a previous study on another SGLT2 inhibitor in which no correlation was found between HbA1c improvement and liver function [30].
The improvement in fatty liver index observed in the present study was consistent with that shown previously [31]. The fatty liver index is a surrogate marker of hepatic steatosis, which has been suggested to have a prognostic value for the risk of diabetes mellitus [32]. Future research on liver function will focus on the association between changes in fatty liver index values and other parameters and on comparing abnormal and normal fatty liver index subgroups.
The present study has some limitations. There was potential bias from incorrect completion of the survey report forms, which may have led to over- or under-representation of ADRs. The absence of a control group for comparison raises the possibility that the incidence of ADRs, as well as improvements in effectiveness variables, may be attributed to factors other than ipragliflozin (e.g., concomitant medications).

Conclusion

Ipragliflozin was effective and well tolerated in Japanese patients with T2DM over 12 months in a real-world clinical setting. Improvements in liver function parameters (AST and ALT) were observed in T2DM patients with abnormal liver function. The results reported here should be considered preliminary in nature and the results of further analyses are planned to be published as the data become available in the future.

Acknowledgements

We would like to thank the study investigators and participating patients.

Funding

This study was sponsored by Astellas Pharma Inc., Japan. Astellas Pharma Inc., Japan also provided funding for the article processing charges and open access fees. All authors had full access to all of the data in this study and take complete responsibility for the integrity of the data and accuracy of the data analysis.

Medical Writing and Editorial Assistance

Medical writing and editorial support was funded by Astellas and provided by Dr. Michelle Belanger (Edanz Medical Writing) and EMC K.K.

Authorship

All named authors meet the International Committee of Medical Journal Editors (ICMJE) criteria for authorship for this article, take responsibility for the integrity of the work as a whole, and have given their approval for this version to be published.

Prior Presentation

This manuscript has not been published elsewhere and is not under consideration in whole or in part by another journal, except as an oral presentation at the 61st Annual Meeting of the Japan Diabetes Society (2018).

Disclosures

Ichiro Nakamura is an employee of Astellas Pharma Inc. Hiroshi Maegawa has received lecture fees from Astellas Pharma Inc., MSD K.K., Daiichi Sankyo Company Limited, Nippon Boehringer Ingelheim Co., Ltd., Kissei Pharmaceutical Co., Mitsubishi Tanabe Pharma Corporation, Sanofi K.K., Kowa Pharmaceutical Company Ltd., and Takeda Pharmaceutical Company Limited; research support from Astellas Pharma Inc., AstraZeneca K.K., and Boehringer Ingelheim Co., Ltd.; and grants from Takeda Pharmaceutical Company Limited, Astellas Pharma Inc., MSD K.K., Teijin Limited, Nippon Boehringer Ingelheim Co., Ltd., Kyowa Hakko Kirin Co., Ltd., Taisho Toyama Pharmaceutical Co., Ltd., Kowa Pharmaceutical Company Ltd., Ono Pharmaceutical Co., Ltd., Daiichi Sankyo Company Limited, Sanofi K.K., Mitsubishi Tanabe Pharma Corporation, Shionogi & Co., Ltd., Otsuka Pharmaceutical Co., Ltd., and Sanwa Kagaku Kenkyusho Co., Ltd. Kazuyuki Tobe has received lecture fees from Astellas Pharma Inc., AstraZeneca K.K., Kowa Pharmaceutical Company Ltd., Takeda Pharmaceutical Company Limited, and Novo Nordisk Pharma Ltd.; and grants from Kowa Pharmaceutical Company Ltd., Astellas Pharma Inc., Ono Pharmaceutical Co., Ltd., Mitsubishi Tanabe Pharma Corporation, Daiichi Sankyo Company Limited, Nippon Boehringer Ingelheim Co., Ltd., Takeda Pharmaceutical Company Limited, Sanofi K.K., and Fuji Chemical Industries Co., Ltd. Satoshi Uno is an employee of Astellas Pharma Inc.

Compliance with Ethics Guidelines

This post-marketing surveillance study was in compliance with Good Post-marketing Study Practice. This study involved the collection of anonymized data from a clinical setting as required by the regulatory body; therefore, informed consent was waived in compliance with the Japanese regulations for post-marketing surveillance studies. All of the medical institutions that agreed to provide data signed a contract with Astellas Pharma Inc.
Open AccessThis article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

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Literatur
1.
Zurück zum Zitat Poole RM, Dungo RT. Ipragliflozin: first global approval. Drugs. 2014;74:611–7.CrossRef Poole RM, Dungo RT. Ipragliflozin: first global approval. Drugs. 2014;74:611–7.CrossRef
2.
Zurück zum Zitat Abdul-Ghani MA, Norton L, DeFronzo RA. Efficacy and safety of SGLT2 inhibitors in the treatment of type 2 diabetes mellitus. Curr Diab Rep. 2012;12:230–8.CrossRef Abdul-Ghani MA, Norton L, DeFronzo RA. Efficacy and safety of SGLT2 inhibitors in the treatment of type 2 diabetes mellitus. Curr Diab Rep. 2012;12:230–8.CrossRef
3.
Zurück zum Zitat Maegawa H, Tobe K, Tabuchi H, Nakamura I. Baseline characteristics and interim (3-month) efficacy and safety data from STELLA-LONG TERM, a long-term post-marketing surveillance study of ipragliflozin in Japanese patients with type 2 diabetes in real-world clinical practice. Expert Opin Pharmacother. 2016;17:1985–94.CrossRef Maegawa H, Tobe K, Tabuchi H, Nakamura I. Baseline characteristics and interim (3-month) efficacy and safety data from STELLA-LONG TERM, a long-term post-marketing surveillance study of ipragliflozin in Japanese patients with type 2 diabetes in real-world clinical practice. Expert Opin Pharmacother. 2016;17:1985–94.CrossRef
4.
Zurück zum Zitat Nakamura I, Maegawa H, Tobe K, Tabuchi H, Uno S. Safety and efficacy of ipragliflozin in Japanese patients with type 2 diabetes in real-world clinical practice: interim results of the STELLA-LONG TERM post-marketing surveillance study. Expert Opin Pharmacother. 2018;19:189–201.CrossRef Nakamura I, Maegawa H, Tobe K, Tabuchi H, Uno S. Safety and efficacy of ipragliflozin in Japanese patients with type 2 diabetes in real-world clinical practice: interim results of the STELLA-LONG TERM post-marketing surveillance study. Expert Opin Pharmacother. 2018;19:189–201.CrossRef
5.
Zurück zum Zitat Maegawa H, Tobe K, Tabuchi H, Nakamura I, Uno S. Safety and efficacy of ipragliflozin in elderly versus non-elderly Japanese patients with type 2 diabetes mellitus: a subgroup analysis of the STELLA-LONG TERM study. Expert Opin Pharmacother. 2018;19:327–36.CrossRef Maegawa H, Tobe K, Tabuchi H, Nakamura I, Uno S. Safety and efficacy of ipragliflozin in elderly versus non-elderly Japanese patients with type 2 diabetes mellitus: a subgroup analysis of the STELLA-LONG TERM study. Expert Opin Pharmacother. 2018;19:327–36.CrossRef
6.
7.
Zurück zum Zitat Nishimura N, Kitade M, Noguchi R, et al. Ipragliflozin, a sodium-glucose cotransporter 2 inhibitor, ameliorates the development of liver fibrosis in diabetic Otsuka Long-Evans Tokushima fatty rats. J Gastroenterol. 2016;51:1141–9.CrossRef Nishimura N, Kitade M, Noguchi R, et al. Ipragliflozin, a sodium-glucose cotransporter 2 inhibitor, ameliorates the development of liver fibrosis in diabetic Otsuka Long-Evans Tokushima fatty rats. J Gastroenterol. 2016;51:1141–9.CrossRef
8.
Zurück zum Zitat Honda Y, Imajo K, Kato T, et al. The selective SGLT2 inhibitor ipragliflozin has a therapeutic effect on nonalcoholic steatohepatitis in mice. PLoS One. 2016;11:e0146337.CrossRef Honda Y, Imajo K, Kato T, et al. The selective SGLT2 inhibitor ipragliflozin has a therapeutic effect on nonalcoholic steatohepatitis in mice. PLoS One. 2016;11:e0146337.CrossRef
9.
Zurück zum Zitat Uchida J, Kabeya Y, Oikawa Y, et al. The ameliorating effect of ipragliflozin, a SGLT2 inhobitor, on liver function without dependence on the body weight reduction. J Jpn Diabetes Soc. 2016;59:782–90. Uchida J, Kabeya Y, Oikawa Y, et al. The ameliorating effect of ipragliflozin, a SGLT2 inhobitor, on liver function without dependence on the body weight reduction. J Jpn Diabetes Soc. 2016;59:782–90.
10.
Zurück zum Zitat Jojima T, Tomotsune T, Iijima T, Akimoto K, Suzuki K, Aso Y. Empagliflozin (an SGLT2 inhibitor), alone or in combination with linagliptin (a DPP-4 inhibitor), prevents steatohepatitis in a novel mouse model of non-alcoholic steatohepatitis and diabetes. Diabetol Metab Syndr. 2016;8:45.CrossRef Jojima T, Tomotsune T, Iijima T, Akimoto K, Suzuki K, Aso Y. Empagliflozin (an SGLT2 inhibitor), alone or in combination with linagliptin (a DPP-4 inhibitor), prevents steatohepatitis in a novel mouse model of non-alcoholic steatohepatitis and diabetes. Diabetol Metab Syndr. 2016;8:45.CrossRef
11.
Zurück zum Zitat Komiya C, Tsuchiya K, Shiba K, et al. Ipragliflozin Improves hepatic steatosis in obese mice and liver dysfunction in type 2 diabetic patients irrespective of body weight reduction. PLoS One. 2016;11:e0151511.CrossRef Komiya C, Tsuchiya K, Shiba K, et al. Ipragliflozin Improves hepatic steatosis in obese mice and liver dysfunction in type 2 diabetic patients irrespective of body weight reduction. PLoS One. 2016;11:e0151511.CrossRef
12.
Zurück zum Zitat Hayashizaki-Someya Y, Kurosaki E, Takasu T, et al. Ipragliflozin, an SGLT2 inhibitor, exhibits a prophylactic effect on hepatic steatosis and fibrosis induced by choline-deficient l-amino acid-defined diet in rats. Eur J Pharmacol. 2015;754:19–24.CrossRef Hayashizaki-Someya Y, Kurosaki E, Takasu T, et al. Ipragliflozin, an SGLT2 inhibitor, exhibits a prophylactic effect on hepatic steatosis and fibrosis induced by choline-deficient l-amino acid-defined diet in rats. Eur J Pharmacol. 2015;754:19–24.CrossRef
13.
Zurück zum Zitat Qiang S, Nakatsu Y, Seno Y, et al. Treatment with the SGLT2 inhibitor luseogliflozin improves nonalcoholic steatohepatitis in a rodent model with diabetes mellitus. Diabetol Metab Syndr. 2015;7:104.CrossRef Qiang S, Nakatsu Y, Seno Y, et al. Treatment with the SGLT2 inhibitor luseogliflozin improves nonalcoholic steatohepatitis in a rodent model with diabetes mellitus. Diabetol Metab Syndr. 2015;7:104.CrossRef
14.
Zurück zum Zitat Yokono M, Takasu T, Hayashizaki Y, et al. SGLT2 selective inhibitor ipragliflozin reduces body fat mass by increasing fatty acid oxidation in high-fat diet-induced obese rats. Eur J Pharmacol. 2014;727:66–74.CrossRef Yokono M, Takasu T, Hayashizaki Y, et al. SGLT2 selective inhibitor ipragliflozin reduces body fat mass by increasing fatty acid oxidation in high-fat diet-induced obese rats. Eur J Pharmacol. 2014;727:66–74.CrossRef
15.
Zurück zum Zitat Suzuki M, Takeda M, Kito A, et al. Tofogliflozin, a sodium/glucose cotransporter 2 inhibitor, attenuates body weight gain and fat accumulation in diabetic and obese animal models. Nutr Diabetes. 2014;4:e125.CrossRef Suzuki M, Takeda M, Kito A, et al. Tofogliflozin, a sodium/glucose cotransporter 2 inhibitor, attenuates body weight gain and fat accumulation in diabetic and obese animal models. Nutr Diabetes. 2014;4:e125.CrossRef
16.
Zurück zum Zitat Tahara A, Kurosaki E, Yokono M, et al. Effects of SGLT2 selective inhibitor ipragliflozin on hyperglycemia, hyperlipidemia, hepatic steatosis, oxidative stress, inflammation, and obesity in type 2 diabetic mice. Eur J Pharmacol. 2013;715:246–55.CrossRef Tahara A, Kurosaki E, Yokono M, et al. Effects of SGLT2 selective inhibitor ipragliflozin on hyperglycemia, hyperlipidemia, hepatic steatosis, oxidative stress, inflammation, and obesity in type 2 diabetic mice. Eur J Pharmacol. 2013;715:246–55.CrossRef
17.
Zurück zum Zitat Kashiwagi A, Yoshida S, Nakamura I, et al. Efficacy and safety of ipragliflozin in Japanese patients with type 2 diabetes stratified by body mass index: a subgroup analysis of five randomized clinical trials. J Diabetes Investig. 2016;7:544–54.CrossRef Kashiwagi A, Yoshida S, Nakamura I, et al. Efficacy and safety of ipragliflozin in Japanese patients with type 2 diabetes stratified by body mass index: a subgroup analysis of five randomized clinical trials. J Diabetes Investig. 2016;7:544–54.CrossRef
18.
Zurück zum Zitat Bedogni G, Bellentani S, Miglioli L, et al. The Fatty Liver Index: a simple and accurate predictor of hepatic steatosis in the general population. BMC Gastroenterol. 2006;6:33.CrossRef Bedogni G, Bellentani S, Miglioli L, et al. The Fatty Liver Index: a simple and accurate predictor of hepatic steatosis in the general population. BMC Gastroenterol. 2006;6:33.CrossRef
19.
Zurück zum Zitat Kadokura T, Akiyama N, Kashiwagi A, et al. Pharmacokinetic and pharmacodynamic study of ipragliflozin in Japanese patients with type 2 diabetes mellitus: a randomized, double-blind, placebo-controlled study. Diabetes Res Clin Pract. 2014;106:50–6.CrossRef Kadokura T, Akiyama N, Kashiwagi A, et al. Pharmacokinetic and pharmacodynamic study of ipragliflozin in Japanese patients with type 2 diabetes mellitus: a randomized, double-blind, placebo-controlled study. Diabetes Res Clin Pract. 2014;106:50–6.CrossRef
20.
Zurück zum Zitat Kashiwagi A, Akiyama N, Shiga T, et al. Efficacy and safety of ipragliflozin as an add-on to a sulfonylurea in Japanese patients with inadequately controlled type 2 diabetes: results of the randomized, placebo-controlled, double-blind, phase III EMIT study. Diabetol Int. 2015;6:125–38.CrossRef Kashiwagi A, Akiyama N, Shiga T, et al. Efficacy and safety of ipragliflozin as an add-on to a sulfonylurea in Japanese patients with inadequately controlled type 2 diabetes: results of the randomized, placebo-controlled, double-blind, phase III EMIT study. Diabetol Int. 2015;6:125–38.CrossRef
21.
Zurück zum Zitat Kashiwagi A, Kazuta K, Goto K, et al. Ipragliflozin in combination with metformin for the treatment of Japanese patients with type 2 diabetes: ILLUMINATE, a randomized, double-blind, placebo-controlled study. Diabetes Obes Metab. 2015;17:304–8.CrossRef Kashiwagi A, Kazuta K, Goto K, et al. Ipragliflozin in combination with metformin for the treatment of Japanese patients with type 2 diabetes: ILLUMINATE, a randomized, double-blind, placebo-controlled study. Diabetes Obes Metab. 2015;17:304–8.CrossRef
22.
Zurück zum Zitat Kashiwagi A, Kazuta K, Takinami Y, Yoshida S, Utsuno A, Nagase I. Ipragliflozin improves glycemic control in Japanese patients with type 2 diabetes mellitus: the BRIGHTEN study. Diabetol Int. 2015;6:8–18.CrossRef Kashiwagi A, Kazuta K, Takinami Y, Yoshida S, Utsuno A, Nagase I. Ipragliflozin improves glycemic control in Japanese patients with type 2 diabetes mellitus: the BRIGHTEN study. Diabetol Int. 2015;6:8–18.CrossRef
23.
Zurück zum Zitat Kashiwagi A, Shiga T, Akiyama N, et al. Efficacy and safety of ipragliflozin as an add-on to pioglitazone in Japanese patients with inadequately controlled type 2 diabetes: a randomized, double-blind, placebo-controlled study (the SPOTLIGHT study). Diabetol Int. 2015;6:104–16.CrossRef Kashiwagi A, Shiga T, Akiyama N, et al. Efficacy and safety of ipragliflozin as an add-on to pioglitazone in Japanese patients with inadequately controlled type 2 diabetes: a randomized, double-blind, placebo-controlled study (the SPOTLIGHT study). Diabetol Int. 2015;6:104–16.CrossRef
24.
Zurück zum Zitat Kashiwagi A, Takahashi H, Ishikawa H, et al. A randomized, double-blind, placebo-controlled study on long-term efficacy and safety of ipragliflozin treatment in patients with type 2 diabetes mellitus and renal impairment: results of the long-term ASP1941 safety evaluation in patients with type 2 diabetes with renal impairment (LANTERN) study. Diabetes Obes Metab. 2015;17:152–60.CrossRef Kashiwagi A, Takahashi H, Ishikawa H, et al. A randomized, double-blind, placebo-controlled study on long-term efficacy and safety of ipragliflozin treatment in patients with type 2 diabetes mellitus and renal impairment: results of the long-term ASP1941 safety evaluation in patients with type 2 diabetes with renal impairment (LANTERN) study. Diabetes Obes Metab. 2015;17:152–60.CrossRef
25.
Zurück zum Zitat Bundhun PK, Huang F. Adverse drug events associated with sitagliptin versus canagliflozin for the treatment of patients with type 2 diabetes mellitus: a systematic comparison through a meta-analysis. Diabetes Ther. 2018;9:1883–95.CrossRef Bundhun PK, Huang F. Adverse drug events associated with sitagliptin versus canagliflozin for the treatment of patients with type 2 diabetes mellitus: a systematic comparison through a meta-analysis. Diabetes Ther. 2018;9:1883–95.CrossRef
26.
Zurück zum Zitat Yabe D, Nishikino R, Kaneko M, et al. Short-term impacts of sodium/glucose co-transporter 2 inhibitors in Japanese clinical practice: considerations for their appropriate use to avoid serious adverse events. Expert Opin Drug Saf. 2015;14:795–800.CrossRef Yabe D, Nishikino R, Kaneko M, et al. Short-term impacts of sodium/glucose co-transporter 2 inhibitors in Japanese clinical practice: considerations for their appropriate use to avoid serious adverse events. Expert Opin Drug Saf. 2015;14:795–800.CrossRef
27.
Zurück zum Zitat Tobita H, Sato S, Miyake T, Ishihara S, Kinoshita Y. Effects of dapagliflozin on body composition and liver tests in patients with nonalcoholic steatohepatitis associated with type 2 diabetes mellitus: a prospective, open-label, uncontrolled study. Curr Ther Res Clin Exp. 2017;87:13–9.CrossRef Tobita H, Sato S, Miyake T, Ishihara S, Kinoshita Y. Effects of dapagliflozin on body composition and liver tests in patients with nonalcoholic steatohepatitis associated with type 2 diabetes mellitus: a prospective, open-label, uncontrolled study. Curr Ther Res Clin Exp. 2017;87:13–9.CrossRef
28.
Zurück zum Zitat Seko Y, Sumida Y, Sasaki K, et al. Effects of canagliflozin, an SGLT2 inhibitor, on hepatic function in Japanese patients with type 2 diabetes mellitus: pooled and subgroup analyses of clinical trials. J Gastroenterol. 2018;53:140–51.CrossRef Seko Y, Sumida Y, Sasaki K, et al. Effects of canagliflozin, an SGLT2 inhibitor, on hepatic function in Japanese patients with type 2 diabetes mellitus: pooled and subgroup analyses of clinical trials. J Gastroenterol. 2018;53:140–51.CrossRef
29.
Zurück zum Zitat Katsuyama H, Hamasaki H, Adachi H, et al. Effects of sodium-glucose cotransporter 2 inhibitors on metabolic parameters in patients with type 2 diabetes: a chart-based analysis. J Clin Med Res. 2016;8:237–43.CrossRef Katsuyama H, Hamasaki H, Adachi H, et al. Effects of sodium-glucose cotransporter 2 inhibitors on metabolic parameters in patients with type 2 diabetes: a chart-based analysis. J Clin Med Res. 2016;8:237–43.CrossRef
30.
Zurück zum Zitat Kuchay MS, Krishan S, Mishra SK, et al. Effect of empagliflozin on liver fat in patients with type 2 diabetes and nonalcoholic fatty liver disease: a randomized controlled trial (E-LIFT Trial). Diabetes Care. 2018;41:1801–8.CrossRef Kuchay MS, Krishan S, Mishra SK, et al. Effect of empagliflozin on liver fat in patients with type 2 diabetes and nonalcoholic fatty liver disease: a randomized controlled trial (E-LIFT Trial). Diabetes Care. 2018;41:1801–8.CrossRef
31.
Zurück zum Zitat Takase T, Nakamura A, Miyoshi H, Yamamoto C, Atsumi T. Amelioration of fatty liver index in patients with type 2 diabetes on ipragliflozin: an association with glucose-lowering effects. Endocr J. 2017;64:363–7.CrossRef Takase T, Nakamura A, Miyoshi H, Yamamoto C, Atsumi T. Amelioration of fatty liver index in patients with type 2 diabetes on ipragliflozin: an association with glucose-lowering effects. Endocr J. 2017;64:363–7.CrossRef
32.
Zurück zum Zitat Yadav D, Choi E, Ahn SV, et al. Fatty liver index as a simple predictor of incident diabetes from the KoGES-ARIRANG study. Med (Baltimore). 2016;95:e4447.CrossRef Yadav D, Choi E, Ahn SV, et al. Fatty liver index as a simple predictor of incident diabetes from the KoGES-ARIRANG study. Med (Baltimore). 2016;95:e4447.CrossRef
33.
Zurück zum Zitat Ministry of Health, Labour and Welfare. Classification criteria for seriousness of adverse drug reactions of pharmaceuticals. PAB/SD notification no. 80. Tokyo: Ministry of Health, Labour and Welfare, 1992. Ministry of Health, Labour and Welfare. Classification criteria for seriousness of adverse drug reactions of pharmaceuticals. PAB/SD notification no. 80. Tokyo: Ministry of Health, Labour and Welfare, 1992.
34.
Zurück zum Zitat Yokoyama H, Matsushima M, Kawai K, et al. Low incidence of cardiovascular events in Japanese patients with type 2 diabetes in primary care settings: a prospective cohort study (JDDM 20). Diabet Med. 2011;28:1221–8.CrossRef Yokoyama H, Matsushima M, Kawai K, et al. Low incidence of cardiovascular events in Japanese patients with type 2 diabetes in primary care settings: a prospective cohort study (JDDM 20). Diabet Med. 2011;28:1221–8.CrossRef
35.
Zurück zum Zitat Sone H, Tanaka S, Tanaka S, et al. Serum level of triglycerides is a potent risk factor comparable to LDL cholesterol for coronary heart disease in Japanese patients with type 2 diabetes: subanalysis of the Japan Diabetes Complications Study (JDCS). J Clin Endocrinol Metab. 2011;96:3448–56.CrossRef Sone H, Tanaka S, Tanaka S, et al. Serum level of triglycerides is a potent risk factor comparable to LDL cholesterol for coronary heart disease in Japanese patients with type 2 diabetes: subanalysis of the Japan Diabetes Complications Study (JDCS). J Clin Endocrinol Metab. 2011;96:3448–56.CrossRef
Metadaten
Titel
Safety and Effectiveness of Ipragliflozin for Type 2 Diabetes in Japan: 12-Month Interim Results of the STELLA-LONG TERM Post-Marketing Surveillance Study
verfasst von
Ichiro Nakamura
Hiroshi Maegawa
Kazuyuki Tobe
Satoshi Uno
Publikationsdatum
14.02.2019
Verlag
Springer Healthcare
Erschienen in
Advances in Therapy / Ausgabe 4/2019
Print ISSN: 0741-238X
Elektronische ISSN: 1865-8652
DOI
https://doi.org/10.1007/s12325-019-0895-1

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