Characteristics of Dapagliflozin Responders: A Longitudinal, Prospective, Nationwide Dapagliflozin Surveillance Study in Korea

Abstract

Introduction

Sodium glucose co-transporter 2 (SGLT2) inhibitors, such as dapagliflozin, have demonstrated favorable effects in patients with type 2 diabetes (T2D). However, there are limited reports in the literature regarding the glucose-lowering effects of SGLT2 inhibitors in actual clinical settings.

Methods

The post-marketing surveillance data from a longitudinal prospective study of 2007 patients with T2D who were prescribed dapagliflozin (10 mg/day) were analyzed (ClinicalTrials.gov, NCT02252224).

Results

After 12 weeks of dapagliflozin treatment, glycated hemoglobin (HbA1c) and body mass index were significantly decreased (P < 0.001) from 8.1 ± 1.3% to 7.5 ± 1.2% and from 28.1 ± 4.4 to 27.6 ± 4.2 kg/m², respectively. Both body weight and HbA1c were reduced in 67.7% of patients, and HbA1c was lowered in 75.1%. Younger age, male sex, shorter diabetes duration, higher baseline HbA1c and estimated glomerular filtration rate (eGFR), and having dapagliflozin as add-on therapy were associated with stronger HbA1c reductions after dapagliflozin use (all P < 0.05). Moreover, subgroup analysis of eGFR of subjects with renal hyperfiltration (eGFR ≥ 120 ml/min/1.73 m²) showed the largest reduction in glucose level (% change, − 9.5; 95% CI − 6.8 to − 12.3 for HbA1c; P < 0.001). Multivariable logistic regression analysis showed that recent T2D diagnosis and higher HbA1c at baseline in patients who received an add-on regimen of dapagliflozin were statistically significantly associated with a dapagliflozin response (all P < 0.05).

Conclusions

Dapagliflozin provides benefits for glycemic control and body weight. Patients in a relatively early stage of the course of diabetes with renal hyperfiltration might be more suitable for and gain maximal benefit from dapagliflozin treatment.

Trial Registration

ClinicalTrials.gov identifier, NCT02252224.

Funding

AstraZeneca.

Electronic supplementary material

The online version of this article (10.1007/s13300-018-0470-9) contains supplementary material, which is available to authorized users.

Introduction

Sodium glucose co-transport 2 (SGLT2) is a member of a family of ATP-dependent proteins located in the S1 segment of the proximal renal tubules and manages up to 90% of the filtered glucose reuptake by the concentration gradient [1]. Inhibitors of SGLT2 comprise a novel class of anti-diabetic agents that has been gaining attention because of their unique mode of action and effectiveness in lowering blood glucose and reducing body weight independently of insulin [2, 3]. In addition, recent studies demonstrate that SGLT2 inhibitors have beneficial effects on cardiovascular disease-related mortality, blood pressure [4], hepatic steatosis [5], and visceral fat mass [6].

Dapagliflozin is an SGLT2 inhibitor with anti-hyperglycemic activity. Dapagliflozin monotherapy reduces an average of 0.9% glycated hemoglobin (HbA1c) and decreases body weight by up to 3 kg in randomized controlled trials (RCT) [7]. In combination with other anti-diabetic medications, dapagliflozin provides sustained glycemic control and body weight reduction [2, 8]. Compared with metformin, dapagliflozin therapy is superior in lowering blood glucose [9]. With lower hypoglycemia risk and high tolerability, dapagliflozin appears to fulfill some unmet needs in diabetes management [2].

Despite previous clinical studies demonstrating the favorable effectiveness of dapagliflozin, there are limited reports on the effectiveness of SGLT2 inhibitors in actual clinical practice settings, especially in Korea. Furthermore, the characteristics of patients who respond to SGLT2 inhibitors have not been fully determined. Thus, the aim of this study was to investigate the characteristics of dapagliflozin responders and evaluate the association between the glucose-lowering effectiveness of dapagliflozin and other clinical parameters in an actual clinical setting.

Methods

Design and Population

This investigation was a non-comparative, prospective, non-interventional, regulatory post-marketing surveillance (PMS) study (ClinicalTrials.gov, no. NCT02252224) designed to evaluate the safety and effectiveness of dapagliflozin (Forxiga^®, 10 mg) in patients with type 2 diabetes mellitus (T2D). A total of 3371 T2D patients from 123 medical facilities across Korea who were being treated with dapagliflozin were recruited from September 2014 to November 2016. Patients were recruited to be followed for either 12 weeks (maximum 16 weeks) or 24 weeks (maximum 30 weeks). Patients followed for 12 weeks accounted for the greater part of the study population, as only 10% of the total recruited patients at 12 weeks were mandatorily required to have long-term follow-up by the regulatory authority in Korea. For the initial study design, all patients who had taken at least one pill were included (n = 3371). However, a total of 1364 patients were excluded from analysis, as shown in Fig. 1. Only 2007 patients showed competent adherence to dapagliflozin therapy and were included in the effectiveness analysis at 12 weeks.

Fig. 1.

Study flow diagram demonstrating analysis population. Post-marketing surveillance study designed to evaluate the safety and effectiveness of dapagliflozin

This study was conducted in compliance with the ethical principles of the “Basic Standards for the Re-examination of New Medicines” published by the Ministry of Food and Drug Safety in Korea. Approval from the Institutional Review Board was obtained according to the rules of each institution as required for a PMS. All procedures followed were in accordance with the ethical standards of the responsible committee on human experimentation (institutional and national) and with the Helsinki Declaration of 1964, as revised in 2013. Informed consent was obtained from all patients for being included in the study.

The patient population for this study consisted of Korean patients who were at least 18 years of age, had been diagnosed with T2D, and could start dapagliflozin therapy according to a reasonable indication for treatment in an ambulatory care setting. Patients were treated by accredited physicians according to routine practices at Korean healthcare centers throughout the study. After receiving written informed consent from the potential participants, each survey physician enrolled the patients who were receiving dapagliflozin for the first time and who had received at least one dose. Each study participant was followed until the observational periods were completed.

Exclusion criteria included patients who were treated with dapagliflozin outside of clinical relevance in Korea or who were contraindicated for the use of dapagliflozin. Contraindications included (1) patients who had a history of hypersensitivity to the active substance or to any of the excipients, (2) type 1 diabetes mellitus or diabetic ketoacidosis patients, (3) patients with hereditary problems of galactose intolerance, lactase deficiency, or glucose-galactose malabsorption, and (4) patients with severe renal impairment (estimated glomerular filtration rate [eGFR] < 30 ml/min/1.73 m², calculated using the Chronic Kidney Disease Epidemiology Collaboration equation [10]), with end-stage renal disease, or on dialysis. Other anti-diabetic medications used by patients were maintained, titrated, or switched in accordance with the physician’s decision during the periods of dapagliflozin treatment. Lifestyle modification therapy and education for both diet and exercise were also provided in parallel with medications.

Effectiveness Assessment

The comparable variables for the effectiveness of dapagliflozin after 12 and 24 weeks of treatment were changes in HbA1c, fasting plasma glucose (FPG), postprandial glucose (PPG), body mass index (BMI), and blood pressure. For PPG, patients underwent a conventional 2-h oral glucose tolerance test at baseline, 12 and 24 weeks (in case of long-term surveillance). Analysis of the effectiveness of dapagliflozin was conducted using stratified categorization with the responsiveness for the dapagliflozin treatment. Based on a previous report [11], we arbitrarily defined the responders as those exhibiting a ≥ 10% reduction in HbA1c values after 12 weeks of dapagliflozin treatment. The relative change (Δ) was calculated as [(baseline value) − (post-dapagliflozin treatment value (≥ 12 weeks))]/(baseline value) × 100 (%). The absolute Δ was calculated as [(baseline value) − (post-dapagliflozin treatment value (≥ 12 weeks))].

Safety Assessment

Patients participating in the study were excluded or withdrawn from the continuation of treatment or the study for the following reasons: loss of follow-up information, adverse events, patient’s decision, or physician’s decision. If a patient discontinued the treatment during the study, the patient was contacted to collect all information regarding adverse events and the reasons why they wanted to stop the treatment. Patients who discontinued the study were included in the safety population if they had taken at least one dose of dapagliflozin. Adverse events and serious adverse events recorded in the electronic case report forms were recoded and reanalyzed according to the current routine classification [12].

Statistical Analysis

Data are presented as the mean ± standard deviation for continuous variables and as number or percentage for categorical variables. The simple changes of blood pressure, glycemic and lipid parameters after dapagliflozin treatment were compared using a paired t test. For effectiveness analysis, missing values were imputed using the last observation carried forward method. A mixed effect model repeated measure test among three visits (baseline, ≥ 12 and ≤ 24 weeks, and ≥ 24 weeks) was performed only if each variable was measured at > 24 weeks. The receiver-operating characteristic (ROC) curve was also used for calculating the cutoff value for the relative change expectation of HbA1c levels > 10% from the baseline. Three groups were compared by one-way analysis of variance (ANOVA) and Bonferroni tests in terms of changes from the baselines for detailed analysis according to eGFR. Scatter graphs were rendered and correlation coefficients calculated to confirm the correlation between changes of HbA1c and body weight or between relative HbA1c changes and baseline HbA1c. The relative factors for dapagliflozin response were obtained using univariate and multiple logistic regressions. Risk is reported in the form of odds ratios (ORs) and 95% confidence intervals (CIs). All statistical analyses were performed using SAS (version 9.4, SAS Institute, Cary, NC, USA) for the calculations and NCSS (version 11, NCSS Co., Kaysville, UT, USA) for the graphics. P values < 0.05 were considered statistically significant.

Results

Baseline Characteristics by Study Population

A total of 2007 individuals with T2D were analyzed (Fig. 1). Patient baseline characteristics are shown in Table 1. The mean age of the study population was 52.8 years, and 51.1% were female. The mean BMI was 28.1 kg/m² and mean waist circumference was 92.2 cm. According to the definition of obesity in the Asian Pacific Region Guideline (BMI ≥ 25 kg/m²) [13], 76.2% of the patients in this study were obese. Although the duration of T2D was relatively short (median 26.0 months), 22.3% of the patients reported having T2D-related complications. Dapagliflozin treatment was offered as switch medication in 46.6% participants and as add-on therapy in 53.3%. Over 90% of the study population was prescribed metformin at baseline. The baseline mean FPG, PPG, and HbA1c were 166.2 mg/dl, 233.1 mg/dl, and 8.1%, respectively.

Table 1.

Baseline characteristics of study population

Baseline parameter	Value
Age (years); mean (SD)	52.8 (11.1)
Age ≥ 50 years, N (%)	1296 (64.6)
Sex, N (%)
Male	982 (48.9)
Female	1025 (51.1)
Diabetes duration, months (IQR)	26.0 (3.9–65.6)
≥ 24 months, N (%)	472 (23.5)
Body weight, kg (SD)	75.8 (15.0)
BMI, kg/m2 (SD)	28.1 (4.4)
Obesity (≥ 25 kg/m2), N (%)	1092 (76.2)
Waist circumference, cm (SD)	92.2 (10.2)
SBP, mmHg (SD)	128.1 (14.2)
DBP, mmHg (SD)	77.8 (10.3)
FPG, mg/dl (SD)	166.2 (48.8)
PPG, mg/dl (SD)	233.1 (80.4)
HbA1c, % (SD)	8.1 (1.3)
Serum creatinine (mg/dl)	0.8 (0.2)
eGFR, ml/min/1.73 m2 (SD)	95.4 ± 15.6
Diabetes-related complications, N (%)
No	1559 (77.7)
Yes	448 (22.3)
Manner of dapagliflozin use, N (%)
Add-on	1069 (53.3)
Switch	936 (46.6)
Unknown	2 (0.1)
Anti-diabetic medication, N (%)
Monotherapy	75 (3.7)
Dual therapy	551 (27.4)
Triple therapy or more	1004 (50.0)
Add on to insulin	1025 (18.8)
Concomitant anti-diabetic medication, N (%)
Metformin	1813 (90.3)
Sulfonylureas	752 (37.5)
Thiazolidinediones	215 (10.7)
DPP-4 inhibitor	820 (40.8)
Injection	425 (21.2)

Data for continuous variables are expressed as mean ± standard deviation (SD) and for categorical variables as number (percent)

IQR interquartile range, BMI body mass index, SBP systolic blood pressure, DBP diastolic blood pressure, FPG fasting plasma glucose, PPG postprandial glucose, HbA1c glycated hemoglobin

Effectiveness of Dapagliflozin on Glucose, Body Weight, and Blood Pressure

After 12 weeks of treatment with dapagliflozin, HbA1c, FPG, and PPG were statistically significantly (P < 0.001) lowered (from 8.1 ± 1.3% to 7.5 ± 1.2%, absolute Δ − 0.6 ± 1.2% for HbA1c; from 166.2 ± 48.8 to 139.6 ± 38.9 mg/dl, absolute Δ − 26.6 ± 49.8 for FPG; from 233.1 ± 80.4 to 189.9 ± 66.4 mg/dl, absolute Δ − 43.1 ± 84.9 mg/dl for PPG; Table 2). Body weight and BMI were also significantly (P < 0.001) decreased after dapagliflozin treatment (from 75.8 ± 15.0 to 73.9 ± 14.4 kg, absolute Δ − 2.3 ± 2.6 kg for body weight; from 28.1 ± 4.4 to 27.6 ± 4.2 kg/m², absolute Δ − 0.9 ± 1.0 kg/m² for BMI). More decreases in glycemic and anthropometric parameters were observed after 24 weeks of treatment with dapagliflozin. Although blood pressure was in the recommended cutoff range for T2D at baseline, gradual significant declines (P < 0.001) in both systolic and diastolic blood pressure were observed during dapagliflozin treatment (128.1 ± 14.2 to 123.2 ± 13.7 mmHg for systolic blood pressure; 77.8 ± 10.3 to 75.3 ± 10.3 mmHg for diastolic blood pressure).

Table 2.

Changes of clinical parameters after dapagliflozin treatment for 12 and 24 weeks

Parameter	12 Weeks	Change	P value	24 Weeks	Change	P value
HbA1c, % (SD)	7.5 (1.2)	− 0.6 (1.2)	< 0.001	7.2 (1.0)	− 0.8 (1.2)	< 0.001
FPG, mg/dl (SD)	139.6 (38.9)	− 26.6 (49.8)	< 0.001	133.9 (31.0)	− 27.0 (48.8)	< 0.001
PPG, mg/dl (SD)	189.9 (66.4)	− 43.1 (84.9)	< 0.001	172.1 (56.0)	− 51.6 (92.6)	< 0.001
BMI, kg/m2(SD)	27.6 (4.2)	− 0.9 (1.0)	< 0.001	27.6 (4.7)	− 1.0 (1.3)	< 0.001
Weight, kg (SD)	73.9 (14.4)	− 2.3 (2.6)	< 0.001	74.7 (16.0)	− 2.7 (3.6)	< 0.001
SBP, mmHg (SD)	125.8 (13.2)	− 3.1 (14.5)	< 0.001	123.2 (13.7)	− 2.3 (13.9)	< 0.001
DBP, mmHg (SD)	76.7 (9.8)	− 1.6 (10.2)	< 0.001	75.3 (10.3)	− 1.1 (10.6)	< 0.001

Data are presented as mean ± standard deviations

HbA1c glycated hemoglobin, FPG fasting plasma glucose, PPG postprandial glucose, BMI body mass index, SBP systolic blood pressure, DBP diastolic blood pressure

Clinical Determinants Associated with Dapagliflozin Response

Since dapagliflozin treatment was effective in lowering body weight and glucose levels, we explored the associations among relative changes in HbA1c, baseline HbA1c, and body weight. The results shown in Fig. 2a indicate a strong relationship between the baseline HbA1c value and dapagliflozin-induced response in HbA1c change (R² = 0.27, P < 0.001). The relative HbA1c change was proportional to the baseline HbA1c (Fig. 2b). However, the correlation between baseline BMI and HbA1c change was not statistically significant (R² = 0.001, P = 0.295, Fig. 2c). Of the 1180 patients with both HbA1c and body weight information at baseline and follow-up, 886 (75.1%) experienced HbA1c reduction and 799 (67.7%) achieved both HbA1c lowering and body weight loss. More than a third of the patients in the 12-week dapagliflozin treatment group (761/2007; 37.9%) experienced ≥ 10% reduction in HbA1c and were categorized as responders. The optimal cutoff for baseline HbA1c in dapagliflozin response was 8.0% (Figure S1).

Fig. 2.

Correlation among baseline glycated hemoglobin, body mass index, and change in glycated hemoglobin after 12-week treatment with dapagliflozin. a Correlation between baseline glycated hemoglobin (HbA1c) and relative ΔHbA1c after 12-week treatment with dapagliflozin. b Distribution of patients for the relation between relative ΔHbA1c and baseline HbA1c. c Correlation between baseline body mass index (BMI) and relative ΔHbA1c after 12-week treatment with dapagliflozin

Clinical parameters associated with the dapagliflozin response were determined using logistic regression analysis. As shown in Table 3, younger age, male sex, short duration of T2D, higher glycemic parameters (HbA1c, FPG, and PPG), lower BMI, and lower serum creatinine with higher eGFR were linked with a dapagliflozin response. The responses to dapagliflozin were better when the SGLT2 inhibitor was used as an add-on therapy than when it was used as monotherapy. Baseline systolic blood pressure did not show any association.

Table 3.

Logistic regression analysis to determine variables associated with dapagliflozin responders (relative HbA1c reduction ≥ 10%) in 12 weeks

Variable	Odds ratio	95% CI	P value
Univariate
Age, years	0.99	0.98–0.99	0.003
Sex, male	1.26	1.06–1.51	0.011
Diabetes duration (≥ 24 months)	0.41	0.32–0.54	< 0.001
Baseline BMI, kg/m2	0.97	0.95–0.99	0.013
Baseline SBP, mmHg	1.01	1.00–1.01	0.140
Baseline HbA1c, %	2.31	2.11–2.54	< 0.001
Baseline FPG, mg/dl	1.01	1.01–1.02	< 0.001
Baseline PPG, mg/dl	1.01	1.01–1.01	< 0.001
Baseline creatinine, mg/dl	0.56	0.33–0.95	0.031
Baseline eGFR	1.01	1.01–1.02	< 0.001
Anti-diabetic medication, add-on	2.49	2.07–3.01	< 0.001
Multivariate
Age (≥ 50 years)	0.71	0.47–1.09	0.116
Sex, male	1.19	0.80–1.78	0.385
Diabetes duration (≥ 24 months)	0.46	0.30–0.69	0.001
Baseline BMI (≥ 25 kg/m2)	0.72	0.45–1.16	0.175
Baseline HbA1c, %	3.12	2.48–3.92	< 0.001
Baseline eGFR, (≥ 90 ml/min/m2)	0.98	0.63–1.53	0.923
Anti-diabetic medication, add-on	2.71	1.72–4.27	< 0.001

BMI body mass index, SBP systolic blood pressure, HbA1c glycated hemoglobin, FPG fasting plasma glucose, PPG postprandial glucose, eGFR estimated glomerular filtration rate

Renal Hyperfiltration, Adjusted Determinants, and Dapagliflozin Response

Because lower serum creatinine with higher eGFR was linked with a dapagliflozin response, we stratified the data by eGFR and analyzed changes during the study period (Table 4). Individuals with higher baseline eGFR showed statistically significant (P < 0.001) responses in glucose reduction and body weight loss (Δ HbA1c 4.1%, 95% CI 3.1–5.2 for eGFR < 90 ml/min/1.73 m²; Δ HbA1c 7.6%, 95% CI 6.9–8.4 for eGFR ≥ 90 and < 120 ml/min/1.73 m²; Δ HbA1c 9.5%, 95% CI 6.8–12.3 for eGFR ≥ 120 ml/min/1.73 m²). However, the changes in systolic and diastolic blood pressure were not different among eGFR groups (P = 0.457 for systolic blood pressure, P = 0.548 for diastolic blood pressure).

Table 4.

Relative changes in efficacy and safety parameters compared with baseline eGFR following treatment with dapagliflozin over 12 weeks

Parameter	eGFR < 90 ml/min/1.73 m2 (n = 755)		90 ≤ eGFR < 120 ml/min/1.73 m2 (n = 1164)		eGFR ≥ 120 ml/min/1.73 m2 (n = 107)		P value§
	Baseline	Δ (95% CI)	Baseline	Δ (95% CI)	Baseline	Δ (95% CI)
HbA1c (%)	8.0 ± 1.3	4.1 (3.1, 5.2)	8.1 ± 1.3	7.6 (6.9, 8.4)	8.5 ± 1.6	9.5 (6.8, 12.3)	< 0.001
FPG (mg/dl)	161.0 ± 43.3	8.3 (5.9, 10.8)	167.2 ± 49.5	13.3 (11.6, 15.0)	194.3 ± 64.7	17.4 (11.5, 23.4)	0.001
PPG (mg/dl)	227.2 ± 75.7	6.8 (2.3, 11.2)	236.4 ± 81.6	14.3 (11.0, 17.6)	252.7 ± 113.1	14.5 (− 3.1, 32.0)	0.024
Weight (kg)	73.6 ± 13.0	3.0 (2.7, 3.2)	77.0 ± 14.8	3.1 (2.9, 3.3)	84.8 ± 19.9	2.0 (1.1, 3.0)	0.024
SBP (mmHg)	128.5 ± 14.8	1.7 (0.8, 2.5)	129.3 ± 14.5	1.8 (1.2, 2.4)	130.8 ± 16.2	0.4 (− 1.7, 2.5)	0.457
DBP (mmHg)	77.3 ± 9.6	0.8 (− 0.1, 1.8)	78.8 ± 10.6	1.5 (0.8, 2.2)	80.9 ± 11.5	1.2 (− 1.5, 3.8)	0.548

Δ = [(Baseline value − 12-week value)/(Baseline value)] × 100

eGFR estimated glomerular filtration rate, HbA1c glycated hemoglobin, FPG fasting plasma glucose, PPG postprandial glucose, SBP systolic blood pressure, DBP diastolic blood pressure

^§P value is derived from one-way ANOVA with Bonferroni post hoc analysis

To assess the independent clinical determinants related to dapagliflozin response, we performed multiple logistic regression analyses (Table 3). Individuals with an early T2D course (adjusted OR 0.46 95% CI 0.30–0.69), higher HbA1c at baseline (adjusted OR 3.12, 95% CI 2.48–3.92), and dapagliflozin use as an add-on therapy (adjusted OR 2.71, 95% CI 1.72–4.27) still showed statistical significance in dapagliflozin responses (all P < 0.05). In contrast, young age, male sex, hyperfiltration, and low BMI (BMI < 25 kg/m²) showed only an increased trend in response to dapagliflozin treatment that was not statistically significant.

Safety

During the dapagliflozin treatment period, 26.3% (886 out of 3371) reported adverse events, and 57 (1.6%) serious adverse events occurred (Table S1). Among the patients with serious adverse events, 52 were reported as completely recovered, 2 were in recovery, and 3 recovered with sequalae (traffic accident, right hand fracture, spontaneous brain hemorrhage). In addition, 127 (3.8%) patients reported renal and urinary disorders (polyuria, nocturia, and pollakiuria without progression to chronic kidney disease), and 45 (1.3%) had genital infections, including 7 cases of urinary tract infection, cystitis, and vaginitis. Vascular-related side effects included one case of orthostatic hypotension and one case of hypotension. There was no neoplasm development or diagnosis during the study period.

Discussion

Three significant findings emerged from this study to discern the characteristics of dapagliflozin responders and associations between the glucose-lowering effectiveness of dapagliflozin and other clinical parameters in an actual clinical setting. First, reductions in HbA1c and BMI were observed among dapagliflozin-treated patients in a real-world setting. Second, T2D patients with early diabetes course, higher baseline HbA1c, and dapagliflozin treatment as an add-on therapy were more likely to have significant clinical responses to dapagliflozin. Third, lower serum creatinine and higher eGFR were associated with a greater response to dapagliflozin treatment.

Considering the glucose-lowering effectiveness of dapagliflozin, 46.6% of the participants were switched to dapagliflozin from another medication and 53.3% participants had dapagliflozin added on to their treatment at baseline. Overall, 886 of 1180 (75.1%) enrolled patients experienced HbA1c reductions. The overall change of HbA1c over 24 weeks in the actual clinical practice world was − 0.8%, which is similar to the average 0.9% HbA1c reduction of dapagliflozin monotherapy in a previous RCT study [7]. This result indicates that it could be clinically relevant for a physician to prescribe an SGLT2 inhibitor for T2D patients with some modifying factors that would elicit the maximal effect of the SGLT2 inhibitor.

Characteristics of SGLT2 inhibitor responders in this study include higher baseline HbA1c and preserved eGFR reflected by young age and a shorter duration of diabetes. These characteristics have been noted in previous studies. A retrospective report showed that only higher baseline HbA1c and preserved eGFR (> 90 ml/min/1.73 m²) had positive correlations with glucose-lowering effectiveness [14]. Moreover, in a pooled analysis report, the HbA1c-lowering effect was decreased as eGFR declined [15]. A Japanese pilot study demonstrated that the renal threshold of the glucose slope was significantly steeper in young (≤ 40 years) compared with older adults (> 40 years) suggesting that the large response of urinary glucose excretion in the young accounts for the better response of SGLT2 inhibitors in young patients [16].

Similar to previous studies [14, 15, 17], a significant association between body weight change and glucose reduction was not observed in our study. Because SGLT2 inhibitors impede glucose reabsorption from the proximal renal tubules, dapagliflozin induces a complimentary increase in urinary glucose excretion [17]. There are different results among numerous studies, but whether the extent of urine glucose excretion would drive the blood glucose decrease in a dependent manner has not been fully investigated. In a Japanese clinical trial, the young age group (≤ 40 years) showed a better effectiveness in glycemic control with a larger increase in urine glucose excretion [16]. However, another study reported that a larger urinary glucose excretion did not reflect a better HbA1c reduction [18]. As expected, these results suggest that the insulin-independent mechanism for the glucose-lowering effect of an SGLT2 inhibitor is not simple.

Higher eGFR was associated with dapagliflozin responders in this study. Interestingly, there are reports that glomerular hyperfiltration might predict the development of diabetes and also be associated with obesity, hypertension, and even sarcopenia [19–22]. In a healthy and non-diabetic cohort, renal hyperfiltration was correlated with postprandial glucose metabolism and insulin sensitivity, whereas eGFR was not related to BMI and blood pressure [23]. Furthermore, lower insulin sensitivity was exhibited in a renal hyperfiltration group compared with controls [22]. Based on these previous studies regarding the correlation of renal hyperfiltration with insulin resistance and the association of increased eGFR with the glucose-lowering effects of dapagliflozin, we postulate that the SGLT2 inhibitors could reduce glomerular hyperfiltration and HbA1c in an insulin-independent manner for T2D patients with early diabetes and renal hyperfiltration. In addition, improved glycemic status due to SGLT2 inhibitor therapy might attenuate insulin resistance or enhance inulin sensitivity rather than modify insulin secretion. Indeed, in the context of glucometabolic homeostasis, a hyperinsulinemic euglycemic clamp study demonstrated that SGLT2 inhibitor therapy reduced insulin secretion and improved insulin sensitivity of glucose uptake [24].

This study has some limitations. First, due to the lack of information attributable to the nature of a PMS, we cannot assert a direct association between renal hyperfiltration and changes in those parameters after dapagliflozin treatment. Second, we did not account for the potential effect of other medications on renal hyperfiltration, including the renin-angiotensin-aldosterone system. Third, we did not measure the uric acid level in the current study. Several studies have consistently reported that SGLT2 inhibitor treatment decreases serum uric acid by altering uric acid transport activity [25–28]. It has been hypothesized that the cardio-protective effects of SGLT2 inhibitors arise from uric acid-lowering effects [29]. In addition, the uric acid-lowering effects are related to the HbA1c reduction [27]. Fourth, even though missing data were imputed using the last observation carried forward method, only 1180 out of 2007 patients had all values for HbA1c and body weight at both baseline and 12-week follow-up, which was a limitation for data analysis. Fourth, even though missing data were imputed using the last observation carried forward method, only 1180 out of 2007 patients had all values for HbA1c and body weight at both baseline and 12-week follow up, which was a limitation for data analysis. Finally, as the original purpose of the current study was post-marketing surveillance, we only assessed the effect of dapagliflozin up to 24 weeks. Further studies are warranted for the long-term effects of dapagliflozin. Despite these limitations, our study has the advantages of utilizing data from a large, population-based study and of exploring the characteristics of Korean dapagliflozin responders in a real-world setting.

Conclusions

This nationwide survey of a Korean population demonstrated that a better response to dapagliflozin therapy is expected in T2D patients who are in a relatively early diabetes course with uncontrolled hyperglycemia. In addition, renal hyperfiltration might be associated with higher dapagliflozin response. Further prospective, well-designed, longitudinal studies with sufficient laboratory resources are warranted to establish the clinical factors that indicate the use of an SGLT2 inhibitor and to identify optimal combinations of an SGLT2 inhibitor with other anti-diabetic medications.

Electronic supplementary material

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