Literature DB >> 30767112

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

Ichiro Nakamura1, Hiroshi Maegawa2, Kazuyuki Tobe3, Satoshi Uno4.   

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.

Entities:  

Keywords:  Effectiveness; Ipragliflozin; Japan; Post-marketing surveillance; Safety; Sodium–glucose cotransporter 2 inhibitor; Type 2 diabetes mellitus

Mesh:

Substances:

Year:  2019        PMID: 30767112      PMCID: PMC6824450          DOI: 10.1007/s12325-019-0895-1

Source DB:  PubMed          Journal:  Adv Ther        ISSN: 0741-238X            Impact factor:   3.845


Introduction

Ipragliflozin is a sodiumglucose 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 [7-16], 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]: 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.
Fig. 1

Patient disposition

Patient disposition

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 setEfficacy analysis set
Total11,051 (100.0)8788 (100.0)
Sex
 Male6712 (60.7)5384 (61.3)
 Female4339 (39.3)3404 (38.7)
Age, years
 n11,0518788
56.9 ± 12.256.4 ± 12.0
Body weight, kg
 n81706901
78.1 ± 17.378.5 ± 17.2
BMI, kg/m2
 n74896336
29.1 ± 5.329.2 ± 5.3
Inpatient/outpatient
 Inpatient183 (1.7)153 (1.7)
 Outpatient10,868 (98.3)8635 (98.3)
Duration of diabetes, years
 n72475942
8.0 ± 6.58.0 ± 6.4
Duration of diabetes, category
 < 5 years2593 (23.5)2116 (24.1)
 ≥ 5 years to < 10 years2171 (19.6)1775 (20.2)
 ≥ 10 years to < 15 years1425 (12.9)1179 (13.4)
 ≥ 15 years1058 (9.6)872 (9.9)
 Unknown3804 (34.4)2846 (32.4)
Complications
 No1637 (14.8)1293 (14.7)
 Yes9321 (84.3)7443 (84.7)
 Unknown93 (0.8)52 (0.6)
Type of complication (some patients had more than one complication)
 Diabetic neuropathy956 (8.7)787 (9.0)
 Diabetic nephropathy1819 (16.5)1516 (17.3)
 Diabetic retinopathy884 (8.0)741 (8.4)
 Cardiovascular and cerebrovascular disease1027 (9.3)748 (8.5)
 Myocardial infarction146 (1.3)118 (1.3)
 Angina pectoris467 (4.2)323 (3.7)
 Heart failure230 (2.1)161 (1.8)
 Arteriosclerosis obliterans139 (1.3)99 (1.1)
 Cerebrovascular disease261 (2.4)201 (2.3)
 Hypertension6183 (55.9)4921 (56.0)
 Dyslipidemia (hyperlipidemia)7055 (63.8)5657 (64.4)
 Osteoporosis184 (1.7)142 (1.6)
 Hyperuricemia1042 (9.4)812 (9.2)
 Urinary tract infection21 (0.2)18 (0.2)
 Genital infection8 (0.1)6 (0.1)
 Malignant tumor79 (0.7)62 (0.7)
 Other4050 (36.6)3264 (37.1)
Hepatic function status*
 Normal8320 (75.3)6525 (74.2)
 Mild impairment2110 (19.1)1761 (20.0)
 Moderate impairment299 (2.7)252 (2.9)
 Severe impairment10 (0.1)9 (0.1)
 Unknown312 (2.8)241 (2.7)
Renal function status*
 Normal9215 (83.4)7338 (83.7)
 Mild impairment1396 (12.6)1110 (12.6)
 Moderate impairment125 (1.1)98 (1.1)
 Severe impairment10 (0.1)7 (0.1)
 Unknown305 (2.8)235 (2.7)
eGFR, mL/min/1.73 m2
 n67575682
82.1 ± 21.782.4 ± 21.5
eGFR, category, mL/min/1.73 m2
 ≥ 902162 (19.6)1841 (20.9)
 ≥ 60 to < 903685 (33.3)3117 (35.5)
 ≥ 45 to < 60722 (6.5)582 (6.6)
 ≥ 30 to < 45155 (1.4)120 (1.4)
 < 3033 (0.3)22 (0.3)
 Unknown4294 (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 setEfficacy analysis set
Total
 –11,051 (100.0)8788 (100.0)
Initial dose of ipragliflozin, mg
 251421 (12.9)0
 509612 (87.0)8788 (100.0)
 7500
 10014 (0.1)0
 Other4 (0.0)0
Daily dose of ipragliflozin, mg
 n11,0518788
47.5 ± 8.550.3 ± 2.8
Concomitant treatment
 Concomitant antidiabetic drugs
  No1964 (17.8)1489 (16.9)
  Yes9006 (81.5)7248 (82.5)
  Unknown81 (0.7)51 (0.6)
 Number of concomitant antidiabetic drugs
  n11,0518788
1.6 ± 1.21.6 ± 1.2
  Max66
  Min00
  02189 (19.8)1680 (19.1)
  13129 (28.3)2441 (27.8)
  23195 (28.9)2613 (29.7)
  31837 (16.6)1487 (16.9)
  ≥ 4619 (5.6)515 (5.9)
  Unknown82 (0.7)52 (0.6)
 Type of concomitant antidiabetic drugs (some patients had more than one concomitant drug)
  DPP-4 inhibitor6222 (56.3)5028 (57.2)
  Metformin4670 (42.3)3891 (44.3)
  Sulfonylurea3117 (28.2)2474 (28.2)
  Insulin injection1213 (11.0)1003 (11.4)
  α-Glucosidase inhibitor1150 (10.4)918 (10.4)
  Thiazolidinedione949 (8.6)774 (8.8)
  GLP-1 receptor agonist380 (3.4)333 (3.8)
  Fast-acting insulin secretagogue340 (3.1)279 (3.2)
  Others840 (7.6)657 (7.5)
 Concomitant diuretics
  No10,108 (91.5)8065 (91.8)
  Yes839 (7.6)643 (7.3)
  Unknown104 (0.9)80 (0.9)
 Type of concomitant diuretics (some patients had more than one concomitant drug)
  Thiazide diuretic215 (1.9)168 (1.9)
  Loop diuretic204 (1.8)151 (1.7)
  Potassium-sparing diuretic172 (1.6)133 (1.5)
  Vasopressin antagonist6 (0.1)5 (0.1)
  Osmotic diuretic1 (0.0)0
  Carbonate dehydratase inhibitor00
  Others365 (3.3)287 (3.3)
 Other concomitant drugs
  No3051 (27.6)2436 (27.7)
  Yes7876 (71.3)6275 (71.4)
  Unknown124 (1.1)77 (0.9)
 Type of other concomitant drugs (some patients had more than one concomitant drug)
  Antihypertensive drug4934 (44.6)3923 (44.6)
  ARB2519 (22.8)2019 (23.0)
  CCB2306 (20.9)1790 (20.4)
  ARB + CCB1373 (12.4)1107 (12.6)
  Statin4151 (37.6)3280 (37.3)
  Antiplatelet drug974 (8.8)737 (8.4)
  Antipeptic ulcer drug989 (8.9)790 (9.0)
  Antihyperuricemic drug726 (6.6)564 (6.4)
  Others3801 (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

Patient characteristics at baseline *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 Treatments used at baseline and during the survey period 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

ParametersActual valueChange from baseline
Baseline12 months1 month3 months6 months12 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)a77.9 ± 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 (%)a43.1 ± 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)a14.8 ± 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)a0.74 ± 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

Changes from baseline in vital signs and laboratory parameters 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).
Fig. 2

Changes in eGFR (a), HbA1c (b), fasting plasma glucose (c), and body weight (d) from baseline to 12 months. HbA1c glycated hemoglobin, eGFR estimated glomerular filtration rate, SD standard deviation

Changes in eGFR (a), HbA1c (b), fasting plasma glucose (c), and body weight (d) from baseline to 12 months. HbA1c glycated hemoglobin, eGFR estimated glomerular filtration rate, SD standard deviation 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 [19-24]. 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 TERMPre-approval clinical trials
Number of patients11,0511669
Number of patients with ADRs1616549
Number of ADRs2239887
Incidence rate ADRs14.6%32.9%
System organ class
 Infections and infestations201 (1.8)64 (3.8)
 Neoplasms benign, malignant, and unspecified (incl. cysts and polyps)25 (0.23)4 (0.24)
 Blood and lymphatic system disorders9 (0.08)8 (0.48)
 Immune system disorders1 (0.01)0
 Endocrine disorders1 (0.01)0
 Metabolism and nutrition disorders161 (1.5)20 (1.2)
 Psychiatric disorders9 (0.08)3 (0.18)
 Nervous system disorders74 (0.67)42 (2.5)
 Eye disorders8 (0.07)17 (1.0)
 Ear and labyrinth disorders1 (0.01)5 (0.30)
 Cardiac disorders31 (0.28)10 (0.60)
 Vascular disorders34 (0.31)7 (0.42)
 Respiratory, thoracic, and mediastinal disorders11 (0.10)7 (0.42)
 Gastrointestinal disorders100 (0.90)101 (6.1)
 Hepatobiliary disorders70 (0.63)8 (0.48)
 Skin and subcutaneous tissue disorders147 (1.3)48 (2.9)
 Musculoskeletal and connective tissue disorders23 (0.21)13 (0.78)
 Renal and urinary disorders644 (5.8)176 (10.6)
 Reproductive system and breast disorders88 (0.80)25 (1.5)
 General disorders and administration site conditions72 (0.65)101 (6.1)
 Investigations205 (1.9)133 (8.0)
 Injury, poisoning, and procedural complications10 (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

Adverse drug reactions reported during the survey period 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 TERMPre-approval clinical trials
Number of patients with serious ADRs10714
Number of serious ADRs12115
Incidence rate of serious ADRs0.97%0.84%

System organ class

 MedDRA preferred term

Infections and infestations9 (0.08)2 (0.12)
 Escherichia sepsis1 (0.01)0
 Liver abscess1 (0.01)0
 Peritonsillar abscess1 (0.01)0
 Pneumonia1 (0.01)0
 Pyelonephritis02 (0.12)
 Pyelonephritis acute2 (0.02)0
 Urinary tract infection3 (0.03)0
 Genital herpes simplex1 (0.01)0
Neoplasms benign, malignant, and unspecified (incl. cysts and polyps)20 (0.18)3 (0.18)
 Colon cancer5 (0.05)1 (0.06)
 Metastases to lymph nodes1 (0.01)0
 Pancreatic carcinoma6 (0.05)0
 Pancreatic carcinoma metastatic1 (0.01)0
 Squamous cell carcinoma of skin1 (0.01)0
 Uterine cancer01 (0.06)
 Breast cancer female2 (0.02)0
 Lung neoplasm malignant1 (0.01)0
 Prostate cancer1 (0.01)1 (0.06)
 Lung neoplasm1 (0.01)0
 Thyroid cancer1 (0.01)0
 Intraductal proliferative breast lesion1 (0.01)0
Blood and lymphatic system disorders01 (0.06)
 Hemolytic anemia01 (0.06)
Endocrine disorders1 (0.01)0
 Hypothyroidism1 (0.01)0
Metabolism and nutrition disorders6 (0.05)0
 Dehydration2 (0.02)0
 Hyperglycemia1 (0.01)0
 Hyperphagia1 (0.01)0
 Hypoglycemia2 (0.02)0
Psychiatric disorders2 (0.02)0
 Depression2 (0.02)0
Nervous system disorders21 (0.19)1 (0.06)
 Cerebral hemorrhage2 (0.02)0
 Cerebral infarction11 (0.10)1 (0.06)
 Depressed level of consciousness1 (0.01)0
 Dizziness1 (0.01)0
 Somnolence1 (0.01)0
 Transient ischemic attack1 (0.01)0
 Lacunar infarction3 (0.03)0
 Putamen hemorrhage1 (0.01)0
Eye disorders3 (0.03)0
 Diabetic retinopathy1 (0.01)0
 Retinal hemorrhage2 (0.02)0
Ear and labyrinth disorders1 (0.01)0
 Sudden hearing loss1 (0.01)0
Cardiac disorders19 (0.17)2 (0.12)
 Acute myocardial infarction5 (0.05)1 (0.06)
 Angina pectoris2 (0.02)0
 Angina unstable3 (0.03)1 (0.06)
 Atrial fibrillation1 (0.01)0
 Cardiac failure congestive2 (0.02)0
 Cardiovascular disorder1 (0.01)0
 Coronary artery disease1 (0.01)0
 Myocardial infarction5 (0.05)0
Vascular disorders3 (0.03)0
 Hypertension2 (0.02)0
 Varicose vein1 (0.01)0
Gastrointestinal disorders3 (0.03)1 (0.06)
 Duodenal ulcer1 (0.01)0
 Gastric ulcer hemorrhage1 (0.01)0
 Gastroesophageal reflux disease1 (0.01)0
 Pancreatitis acute1 (0.01)0
 Upper gastrointestinal hemorrhage01 (0.06)
Hepatobiliary disorders7 (0.06)0
 Cholecystitis2 (0.02)0
 Cholecystitis acute1 (0.01)0
 Cholelithiasis1 (0.01)0
 Hepatic cirrhosis2 (0.02)0
 Jaundice cholestatic1 (0.01)0
 Liver disorder1 (0.01)0
Skin and subcutaneous tissue disorders4 (0.04)0
 Drug eruption1 (0.01)0
 Eczema1 (0.01)0
 Skin ulcer1 (0.01)0
 Urticaria1 (0.01)0
Renal and urinary disorders6 (0.05)3 (0.18)
 Hematuria1 (0.01)0
 Nephrolithiasis01 (0.06)
 Neurogenic bladder1 (0.01)0
 Renal disorder2 (0.02)1 (0.06)
 Renal vessel disorder1 (0.01)0
 Ureterolithiasis1 (0.01)1 (0.06)
Reproductive system and breast disorders1 (0.01)0
 Prostatitis1 (0.01)0
General disorders and administration site conditions1 (0.01)2 (0.12)
 Death01 (0.06)
 Pain01 (0.06)
 Thirst1 (0.01)0
Investigations1 (0.01)0
 Gamma-glutamyl transferase increased1 (0.01)0
Injury, poisoning, and procedural complications4 (0.04)0
 Fall1 (0.01)0
 Femoral neck fracture1 (0.01)0
 Foot fracture1 (0.01)0
 Ligament sprain1 (0.01)0
 Road traffic accident1 (0.01)0
 Subarachnoid hemorrhage1 (0.01)0
 Contusion1 (0.01)0
 Brain contusion1 (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

Serious adverse drug reactions reported during the survey period System organ class MedDRA preferred term 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 ADRSeriousNon-seriousTotal (n =  1669)
All ADRs1616(14.6)107(0.97)1539(13.9)(32.9)
ADRs of special interest
 Polyuria/pollakiuria571(5.2)1(0.01)570(5.2)(10.0)
 Volume depletion-related events, including dehydration196(1.8)9(0.08)189(1.7)(4.5)
 Skin complications166(1.5)4(0.04)162(1.5)(4.0)
 Genital infection135(1.2)2(0.02)133(1.2)(2.0)
 Urinary tract infection115(1.0)5(0.05)110(1.0)(1.8)
 Renal disorder115(1.0)3(0.03)112(1.0)(4.8)
 Hepatic disorder82(0.74)6(0.05)78(0.71)(1.0)
 Hypoglycemia39(0.35)3(0.03)36(0.33)(1.4)
 Cardiovascular diseasea30(0.27)19(0.17)11(0.10)(1.0)
 Cerebrovascular diseaseb23(0.21)20(0.18)3(0.03)(0.2)
 Malignant tumor22(0.20)19(0.17)3(0.03)(0.2)
 Ketoacidosis, events related to ketone-body increase3(0.03)0(0.00)3(0.03)(1.0)
 Fracture2(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

Adverse drug reactions of special interest 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 days7–< 15 days15–< 30 days30–< 45 days45–< 60 days60–< 90 days90–< 180 days180–< 270 days270–< 360 days360–< 720 daysUnknown
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)000001 (33.3)01 (33.3)1 (33.3)00
 Malignant tumor (23 events)000001 (4.3)5 (21.7)7 (30.4)3 (13.0)2 (8.7)5 (21.7)
 Cardiovascular disease (32 events)1 (3.1)03 (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)02 (8.7)01 (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)001 (33.3)00001 (33.3)1 (33.3)00

Number of events (%). In patients who experienced a recurrence of an adverse drug reaction, the date of onset was defined as the first occurrence

Time to onset of adverse drug reactions of special interest 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 ADRIpragliflozin treatment status
ContinuedDose reductionInterruption or discontinuation due to the eventInterruption or discontinuation for other reasonsCompletion of treatment before ADRUnknown
All ADRs1616986(61.0)20(1.2)622(38.5)57(3.5)7(0.4)7(0.4)
ADRs of special interest
 Skin complications16630(18.1)1(0.6)135(81.3)0(0.0)0(0.0)0(0.0)
 Ketoacidosis, events related to ketone-body increase31(33.3)0(0.0)2(66.7)0(0.0)0(0.0)0(0.0)
 Genital infection13558(43.0)1(0.7)77(57.0)0(0.0)1(0.7)0(0.0)
 Fracture22(100.0)0(0.0)1(50.0)0(0.0)0(0.0)0(0.0)
 Hypoglycemia3920(51.3)2(5.1)18(46.2)1(2.6)0(0.0)0(0.0)
 Urinary tract infection11564(55.7)0(0.0)53(46.1)1(0.9)0(0.0)0(0.0)
 Cerebrovascular disease238(34.8)1(4.4)10(43.5)2(8.7)0(0.0)2(8.7)
 Cardiovascular disease3016(53.3)0(0.0)13(43.3)0(0.0)0(0.0)1(3.3)
 Volume depletion-related events, including dehydration196121(61.7)2(1.0)72(36.7)7(3.6)0(0.0)0(0.0)
 Polyuria/pollakiuria571413(72.3)10(1.8)132(23.1)19(3.3)0(0.0)0(0.0)
 Malignant tumor2214(63.6)0(0.0)4(18.2)1(4.5)1(4.5)2(9.1)
 Renal disorder11592(80.0)0(0.0)17(14.8)6(5.2)0(0.0)1(0.9)
 Hepatic disorder8265(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

TotalOutcome
ResolvedRemissionNot recoveredSequelaeDeathUnknown
All ADRs22391206(53.9)707(31.6)202(9.0)8(0.4)9(0.4)107(4.8)
ADRs of special interest
 Hypoglycemia4238(90.5)4(9.5)0000
 Genital infection14098(70.0)33(23.6)6(4.3)003(2.1)
 Urinary tract infection11796(82.1)19(16.2)1(0.9)001(0.9)
 Polyuria/pollakiuria784313(39.9)353(45.0)88(11.2)0030(3.8)
 Volume depletion238152(63.9)70(29.4)10(4.2)1(0.4)05(2.1)
 Renal disorder12359(48.0)31(25.2)17(13.8)0016(13.0)
 Hepatic disorder8743(49.4)12(13.8)16(18.4)01(1.1)15(17.2)
 Fracture31(33.3)2(66.7)0000
 Malignant tumor234(17.4)6(26.1)3(13.0)05(21.7)5(21.7)
 Cardiovascular disease3215(46.9)11(34.4)3(9.4)02(6.3)1(3.1)
 Cerebrovascular disease238(34.8)6(26.1)08(34.8)01(4.3)
 Skin complications170121(71.2)42(24.7)7(4.1)000
 Ketone body-related events32(66.7)1(33.3)0000

Data are presented as number of events (%)

Adverse drug reactions of special interest according to treatment status 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 Outcomes of adverse drug reactions of special interest Data are presented as number of events (%) 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). 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).
Fig. 3

Changes in AST (a) and ALT (b) from baseline to 12 months in patients stratified by liver function status. ALT alanine aminotransferase, AST aspartate aminotransferase, SD standard deviation

Changes in AST (a) and ALT (b) from baseline to 12 months in patients stratified by liver function status. ALT alanine aminotransferase, AST aspartate aminotransferase, SD standard deviation 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

nPearson correlation coefficientP value
Changes in HbA1c21450.149< 0.001
Changes in fasting plasma glucose11980.106< 0.001
Changes in fasting insulin1030.1030.302
Changes in body weight18370.206< 0.001
Changes in waist circumference3510.0060.918
Changes in systolic blood pressure18860.0320.171
Changes in diastolic blood pressure18840.081< 0.001
Changes in total bilirubin9040.1020.002
Changes in triglycerides20180.0500.023

ALT alanine aminotransferase, HbA1c glycated hemoglobin

Correlation between changes in ALT and other parameters in patients with abnormal liver function 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).
Fig. 4

Changes in fatty liver index from baseline to 12 months. SD standard deviation

Changes in fatty liver index from baseline to 12 months. SD standard deviation

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%) [19-24]. 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 [19-24]. 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) [27-30]. 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.
  30 in total

1.  Amelioration of fatty liver index in patients with type 2 diabetes on ipragliflozin: an association with glucose-lowering effects.

Authors:  Takahiro Takase; Akinobu Nakamura; Hideaki Miyoshi; Chiho Yamamoto; Tatsuya Atsumi
Journal:  Endocr J       Date:  2016-12-13       Impact factor: 2.349

2.  Pharmacokinetic and pharmacodynamic study of ipragliflozin in Japanese patients with type 2 diabetes mellitus: a randomized, double-blind, placebo-controlled study.

Authors:  Takeshi Kadokura; Noriko Akiyama; Atsunori Kashiwagi; Atsushi Utsuno; Kenichi Kazuta; Satoshi Yoshida; Itsuro Nagase; Ronald Smulders; Shigeru Kageyama
Journal:  Diabetes Res Clin Pract       Date:  2014-07-26       Impact factor: 5.602

3.  SGLT2 selective inhibitor ipragliflozin reduces body fat mass by increasing fatty acid oxidation in high-fat diet-induced obese rats.

Authors:  Masanori Yokono; Toshiyuki Takasu; Yuka Hayashizaki; Keisuke Mitsuoka; Rumi Kihara; Yuko Muramatsu; Sousuke Miyoshi; Atsuo Tahara; Eiji Kurosaki; Qun Li; Hiroshi Tomiyama; Masao Sasamata; Masayuki Shibasaki; Yasuo Uchiyama
Journal:  Eur J Pharmacol       Date:  2014-01-30       Impact factor: 4.432

4.  Effects of SGLT2 selective inhibitor ipragliflozin on hyperglycemia, hyperlipidemia, hepatic steatosis, oxidative stress, inflammation, and obesity in type 2 diabetic mice.

Authors:  Atsuo Tahara; Eiji Kurosaki; Masanori Yokono; Daisuke Yamajuku; Rumi Kihara; Yuka Hayashizaki; Toshiyuki Takasu; Masakazu Imamura; Qun Li; Hiroshi Tomiyama; Yoshinori Kobayashi; Atsushi Noda; Masao Sasamata; Masayuki Shibasaki
Journal:  Eur J Pharmacol       Date:  2013-05-23       Impact factor: 4.432

5.  Effect of Empagliflozin on Liver Fat in Patients With Type 2 Diabetes and Nonalcoholic Fatty Liver Disease: A Randomized Controlled Trial (E-LIFT Trial).

Authors:  Mohammad Shafi Kuchay; Sonal Krishan; Sunil Kumar Mishra; Khalid Jamal Farooqui; Manish Kumar Singh; Jasjeet Singh Wasir; Beena Bansal; Parjeet Kaur; Ganesh Jevalikar; Harmendeep Kaur Gill; Narendra Singh Choudhary; Ambrish Mithal
Journal:  Diabetes Care       Date:  2018-06-12       Impact factor: 19.112

6.  The Fatty Liver Index: a simple and accurate predictor of hepatic steatosis in the general population.

Authors:  Giorgio Bedogni; Stefano Bellentani; Lucia Miglioli; Flora Masutti; Marilena Passalacqua; Anna Castiglione; Claudio Tiribelli
Journal:  BMC Gastroenterol       Date:  2006-11-02       Impact factor: 3.067

7.  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.

Authors:  Hiroshi Tobita; Shuichi Sato; Tatsuya Miyake; Shunji Ishihara; Yoshikazu Kinoshita
Journal:  Curr Ther Res Clin Exp       Date:  2017-07-08

8.  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.

Authors:  A Kashiwagi; H Takahashi; H Ishikawa; S Yoshida; K Kazuta; A Utsuno; E Ueyama
Journal:  Diabetes Obes Metab       Date:  2015-02       Impact factor: 6.577

9.  Ipragliflozin Improves Hepatic Steatosis in Obese Mice and Liver Dysfunction in Type 2 Diabetic Patients Irrespective of Body Weight Reduction.

Authors:  Chikara Komiya; Kyoichiro Tsuchiya; Kumiko Shiba; Yasutaka Miyachi; Shunsaku Furuke; Noriko Shimazu; Shinobu Yamaguchi; Kazuo Kanno; Yoshihiro Ogawa
Journal:  PLoS One       Date:  2016-03-15       Impact factor: 3.240

10.  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.

Authors:  Teruo Jojima; Takanori Tomotsune; Toshie Iijima; Kazumi Akimoto; Kunihiro Suzuki; Yoshimasa Aso
Journal:  Diabetol Metab Syndr       Date:  2016-07-26       Impact factor: 3.320

View more
  6 in total

1.  Safety and effectiveness of ipragliflozin in Japanese patients with type 2 diabetes mellitus and impaired renal function: subgroup analysis of a 3-year post-marketing surveillance study (STELLA-LONG TERM).

Authors:  Kazuyuki Tobe; Hiroshi Maegawa; Ichiro Nakamura; Satoshi Uno
Journal:  Diabetol Int       Date:  2020-11-23

2.  Investigation of the Effect of Canagliflozin on the Disposition Index, a Marker of Pancreatic Beta Cell Function, in Patients with Type 2 Diabetes.

Authors:  Mitsuyoshi Takahara; Toshihiko Shiraiwa; Taka-Aki Matsuoka; Kaoru Yamamoto; Yoshifumi Maeno; Yuka Shiraiwa; Yoko Yoshida; Naoto Katakami; Hiroaki Iijima; Hideyuki Katsumata; Kenji Arakawa; Toshio Hashimoto; Iichiro Shimomura
Journal:  Diabetes Metab Syndr Obes       Date:  2020-11-18       Impact factor: 3.168

3.  Two-year administration of sodium-glucose co-transporter 2 inhibitor brought about marked reduction of body fat independent of skeletal muscle amount or glycemic improvement in Japanese patients with type 2 diabetes.

Authors:  Moeko Sakamoto; Yuka Goto; Ayako Nagayama; Mamiko Yano; Shuichi Sato; Yuji Tajiri; Masatoshi Nomura
Journal:  Diabetol Int       Date:  2021-05-21

4.  Long-term (52-week) efficacy and safety of ipragliflozin add-on therapy to insulin in Japanese patients with type 1 diabetes mellitus: An uncontrolled, open-label extension of a phase III study.

Authors:  Kohei Kaku; Hiroyuki Isaka; Taishi Sakatani; Junko Toyoshima
Journal:  J Diabetes Investig       Date:  2020-02-20       Impact factor: 4.232

5.  Real-World Effectiveness of Sodium Glucose Co-Transporter-2 Inhibitors in Japanese Patients with Diabetes Mellitus.

Authors:  Yuichiro Ito; James Van Schyndle; Takuya Nishimura; Toshifumi Sugitani; Tomomi Kimura
Journal:  Diabetes Ther       Date:  2019-10-15       Impact factor: 2.945

6.  Safety of Ipragliflozin in Patients with Type 2 Diabetes Mellitus: Pooled Analysis of Phase II/III/IV Clinical Trials.

Authors:  Atsunori Kashiwagi; Marina V Shestakova; Yuichiro Ito; Masahiro Noguchi; Wim Wilpshaar; Satoshi Yoshida; John P H Wilding
Journal:  Diabetes Ther       Date:  2019-10-12       Impact factor: 2.945

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.