Literature DB >> 33246930

Real-world risk of hypoglycemia-related hospitalization in Japanese patients with type 2 diabetes using SGLT2 inhibitors: a nationwide cohort study.

Takeshi Horii1, Yoichi Oikawa2, Narumi Kunisada3, Akira Shimada2, Koichiro Atsuda3.   

Abstract

INTRODUCTION: Sodium-glucose cotransporter 2 (SGLT2) inhibitors are believed to lower glucose levels and inhibit cardiovascular events related to type 2 diabetes (T2D). To maximize their benefits, the risk of resultant hypoglycemia has to be minimized; however, the magnitude of this risk remains unclear. Here, we aimed to identify clinical factors linked to an increased risk of hypoglycemia among Japanese patients with T2D and treated with SGLT2 inhibitors. RESEARCH DESIGN AND METHODS: This was a real-world retrospective cohort study conducted using the Japanese Medical Data Vision database. We identified patients with T2D and treated with SGLT2 inhibitors who were enrolled in the database from April 2014 to October 2019. Cox multivariate regression analyses were performed to determine demographical and clinical factors linked to SGLT2 inhibitor-associated hypoglycemia-related hospitalization.
RESULTS: Of 171 622 patients prescribed SGLT2 inhibitors, hypoglycemia-related hospitalization occurred in 216 (0.13%), with 0.60 incidences per 100 person-years. The risk of SGLT2 inhibitor-associated hypoglycemia was higher with each 10-year increase in age (HR 1.49; 95% CI 1.32 to 1.68) and high in patients with body mass index <25 kg/m2 (HR 1.98; 95% CI 1.50 to 2.61), insulin use (HR 3.26; 95% CI 2.43 to 4.38), and sulfonylurea use (HR 1.44; 95% CI 1.02 to 2.03). The risk was lower in women than in men (HR 0.73; 95% CI 0.54 to 0.98) and low in concomitant metformin users (HR 0.52; 95% CI 0.37 to 0.74).
CONCLUSIONS: These findings may help minimize the risk of hypoglycemia-related hospitalization due to T2D treatment with SGLT2 inhibitors. We revealed that the risk of hypoglycemia may be higher when combining SGLT2 inhibitors with sulfonylureas and/or insulin. Furthermore, we discovered a high risk of hypoglycemia in older and non-obese patients. These findings may assist in maximizing the benefits of SGLT2 inhibitors for the treatment of T2D. © Author(s) (or their employer(s)) 2020. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.

Entities:  

Keywords:  diabetes mellitus; hypoglycemia; hypoglycemic agents; type 2

Mesh:

Substances:

Year:  2020        PMID: 33246930      PMCID: PMC7703042          DOI: 10.1136/bmjdrc-2020-001856

Source DB:  PubMed          Journal:  BMJ Open Diabetes Res Care        ISSN: 2052-4897


The overall risk of hypoglycemia resulting from sodium-glucose cotransporter 2 (SGLT2) inhibitor use is low, and several meta-analyses revealed that the risk of hypoglycemia due to SGLT2 inhibitor monotherapy was similar to that of placebos. On the other hand, the Japan Diabetes Society published a recommendation on the proper use of SGLT2 inhibitors, stating that concomitant insulin and/or sulfonylurea use increases the risk of severe hypoglycemia. In this real-world, retrospective cohort study, we were able to clarify the detailed background of Japanese patients with type 2 diabetes using SGLT2 inhibitors at a high risk of hypoglycemia-related hospitalization. In this study, we elucidated the HR of hypoglycemia associated with concomitant sulfonylurea and/or insulin use. We were able to clarify other factors that were associated with a higher risk of hypoglycemia, such as a body mass index <25 kg/m2 and ageing. By considering the comorbidities of individual patients and clarifying the risk of hypoglycemia-related hospitalization under various conditions, the risk of hypoglycemia may be minimized when administering SGLT2 inhibitors.

Introduction

Type 2 diabetes (T2D) is a group of metabolic diseases characterized by a chronic hyperglycemic state due to insufficient insulin action. Persistent hyperglycemia causes microvascular disorders peculiar to diabetes, such as neuropathy, retinopathy, and renal disorder, as well as large vascular disorders, such as myocardial and cerebral infarction. In Japan, the goal when treating T2D is to achieve good glycemic control; to do this, clinicians have two types of injectable hypoglycemic drugs and seven types of oral hypoglycemic drugs at their disposal. Among the latter are sodium-glucose cotransporter 2 (SGLT2) inhibitors, which appeared on the market in 2014. SGLT2 inhibitors have a unique mechanism of action among hypoglycemic drugs, lowering the blood glucose level by inhibiting SGLT2 in the kidneys, which prevents reabsorption of urinary glucose and promotes glucose excretion.1 Of further note, in large-scale clinical trials it was reported that these drugs also lowered the risk of cardiovascular events and/or the related hospitalization and mortality rate,2–4 as well as lowering the rate of decline in renal function.5–7 Despite these beneficial effects, SGLT2 inhibitors pose a risk of hypoglycemia, in those taking certain concomitant medications and in specific patient situations; hypoglycemia is a common side effect of hypoglycemic drugs. Hypoglycemia has been reported to be associated with an increased risk of mortality; therefore, the risk should be minimized.8–10 The goal in treating T2D is to achieve good glycemic control in the absence of hypoglycemic events, and iatrogenic hypoglycemia may necessitate a higher glycemic goal than is desirable for patients with T2D.11 12 Other notable risks of hypoglycemia include a reduced health-related quality of life,13 reduced work productivity,14 and an increased risk of hospitalization due to falls and car accidents.15 The American Diabetes Association and the European Association for the Study of Diabetes currently position SGLT2 inhibitors as the center of management of patients with T2D, and it is particularly recommended as first-line treatment for patients with established atherosclerotic cardiovascular disease, heart failure, or chronic kidney disease.16 SGLT2 inhibitors are a relatively new class of drugs and need to be further evaluated for their safety and tolerability in clinical practice. Since T2D manifests as various pathological conditions, it is necessary to individualize treatment based on the patient’s risk of hypoglycemia. The purpose of this study was to identify clinical factors, such as those associated with patient backgrounds and concomitant medications, linked to a higher risk of hypoglycemia among patients with T2D treated with SGLT2 inhibitors.

Methods

This was a real-world, retrospective cohort study using data from the Medical Data Vision (MDV) administrative claims database (Medical Data Vision; Tokyo, Japan). It is a nationwide hospital-based claims database covering almost 31 million cumulative patients since April 2008 who, as of October 2019, had been treated as inpatients or outpatients at the approximately 360 hospitals in Japan (21% of the total number of hospitals) that participate in the diagnosis procedure combination (DPC)/per diem payment system. Of these patients, approximately 3 million (~10%) were diagnosed with diabetes mellitus (DM). The MDV database contains anonymized information about patient characteristics, diagnoses, medical expenses, medical procedures, and drug prescriptions. All patient data are encrypted before entry into the database. In this study, we extracted data of administrative claims made from 1 April 2014 to 31 October 2019. We censored patients at the time when they discontinued SGLT2 inhibitors, developed hypoglycemia, lost insurance coverage, or died. For patients prescribed SGLT2 inhibitors, the observation start date was set as the date of first prescription.

Study population

First, we extracted data of patients diagnosed with DM (International Classification of Diseases, 10th Revision (ICD-10) codes: E10–E14) and registered from 1 April 2008 to 31 October 2019 in the MDV database. We applied the following exclusion criteria to the extracted data set: (1) patients diagnosed with type 1 diabetes (T1D; ICD-10 code: E10); (2) those diagnosed with both T1D and T2D; (3) those diagnosed with any other DM except for T1D and T2D; (4) those aged <18 years; and (5) those not prescribed SGLT2 inhibitors. Patients were required to be enrolled in the MDV database for a continuous period of ≥6 months before the observation start date.

Identification of hypoglycemia

Hypoglycemic events were identified based on previous definitions.17 18 We identified hospitalizations for hypoglycemia in the MDV database using the following ICD-9 codes: 251.0 (hypoglycemic coma), 251.1 (other specified hypoglycemia), and 251.2 (hypoglycemia, unspecified). Additionally, the following ICD-10 codes were used: E08.641, E11.641, E11.649, E13.64, E13.641, E13.649, E16.0, E16.1, E15, and E16.2. We excluded patients who did not receive a 50% glucose injection on the day of admission. We defined hospitalization due to hypoglycemia that met the above conditions as ‘hypoglycemia’.

Patient characteristics

Age, gender, and body mass index (BMI) were included as baseline characteristics and identified using data provided in the claim record in the same month as the observation start date. Obesity was defined as having a BMI ≥25 kg/m2.19 Glycohemoglobin (HbA1c) and estimated glomerular filtration rate (eGFR) were used only as supplementary data. To evaluate eGFR, the creatine level was used. The formula used to calculate eGFR was the following: for males, eGFRcreat=194×Cr-1.094×age-0.287, and for females, eGFRcreat=194×Cr-1.094×age-0.287×0.739. As described in a previous study on polypharmacy,20 we defined polypharmacy as the use of ≥5 antidiabetic medications.

Statistical analysis

Patient data following a normal distribution (age, BMI, HbA1c, and eGFR) are expressed as mean±SD values. Continuous variables were analyzed using a one-tailed unpaired t-test. Categorical variables were analyzed using a χ2 test and were expressed as absolute numbers and/or percentages. HRs for the risk of occurrence of hypoglycemia were analyzed using a Cox proportional hazards model, adjusted for types of SGLT2 inhibitors, the administration of antidiabetes drugs other than SGLT2 inhibitors (yes/no), sex, age (10-year increase), and BMI (cut-off value: 25 kg/m2). In the supplemental analysis, the HbA1c (cut-off value: 7.0%) and eGFR (stratified as <30, 30–59, and ≥60 mL/min) values were added. All statistical analyses were performed using IBM SPSS Statistics for Windows V.25.0 (IBM).

Results

Clinical characteristics

We identified 171 622 patients with T2D who were treated with SGLT2 inhibitors (figure 1) during the study period. Table 1 summarizes the clinical characteristics of the study according to hypoglycemic state. Hypoglycemia was observed in 216 (0.13%) of the patients. Males comprised 70.4% of all patients with hypoglycemia, and no difference (p=0.976) was observed in the sex ratio between patients with and without hypoglycemia. The mean age was 69.8±13.6 years among patients with hypoglycemia, which was higher (p=0.003) than in those without. The mean BMI was 25.3±4.9 kg/m2 among patients with hypoglycemia, which did not differ (p=0.211) from that of patients without. The mean number of antidiabetic medications was 3.6±1.2 among patients with hypoglycemia, which was higher (p=0.027) than that observed among those without hypoglycemia. The frequency of use of alpha-glucosidase inhibitor, insulin, and sulfonylurea (SU) drugs in patients with hypoglycemia was significantly higher than that observed for patients without hypoglycemia. Glimepiride accounted for the majority of the SU drugs by component (glimepiride: 86.0%, gliclazide: 9.8%, glyburide: 4.2%).
Figure 1

Flow chart of patient inclusion and exclusion. SGLT2I, sodium-glucose cotransporter 2 inhibitor; T1D, type 1 diabetes; T2D, type 2 diabetes.

Table 1

Baseline characteristics of patients with T2D using SGLT2 inhibitors

Overall (n=171 622)Hypoglycemia (+) (n=216)Hypoglycemia (−) (n=171 406)P value
Mean±SDn (%)Mean±SDn (%)Mean±SDn (%)
Sex
 Male112 521 (65.6)152 (70.4)112 369 (65.6)0.976
 Female59 101 (34.4)64 (29.6)59 037 (34.4)
Age (years)62.4±13.569.8±13.662.4±13.50.003
 Distribution
  <25884 (0.5)1 (0.5)883 (0.5)<0.001
  25–4417 136 (10.0)10 (4.6)17 126 (10.0)
  45–6469 543 (40.5)53 (24.5)69 490 (40.5)
  ≥6584 059 (49.0)152 (70.4)83 907 (49.0)
BMI (kg/m2)27.1±5.925.3±4.927.1±5.90.211
 Distribution
  <2565 255 (38.0)114 (52.4)65 141 (38.0)<0.001
  ≥25106 367 (62.0)102 (47.6)106 265 (62.0)
Antidiabetic medications (n)2.8±1.33.6±1.22.8±1.3
 Distribution
  <5155 338 (90.5)186 (86.1)155 152 (90.5)0.027
  ≥516 284 (9.5)30 (13.9)16 254 (9.5)
Use of other antidiabetic medications
 α-GI20 283 (11.8)35 (16.2)20 248 (11.8)0.046
 DPP-4 inhibitors97 717 (56.9)119 (55.1)97 598 (56.9)0.548
 Glinides10 290 (6.0)14 (6.5)10 276 (6.0)0.763
 GLP-1 receptor agonists7901 (4.6)8 (3.7)7893 (4.6)0.528
 Insulin34 915 (20.3)97 (44.9)34 818 (20.3)<0.001
 Metformin73 083 (42.6)52 (24.1)73 031 (42.6)<0.001
 Sulfonylureas34 903 (20.3)50 (23.1)34 853 (20.3)0.304
 Thiazolidinediones12 996 (7.6)15 (6.9)12 981 (7.6)0.727

P values were calculated for differences between patients with and without hypoglycemic events.

Hypoglycemia (+) denotes patients with hypoglycemic events. Hypoglycemia (−) denotes patients without hypoglycemic events.

BMI, body mass index; DPP-4, dipeptidyl peptidase-4; α-GI, alpha-glucosidase inhibitor; GLP-1, glucagon-like peptide-1; SGLT2, sodium-glucose cotransporter 2; T2D, type 2 diabetes;.

Flow chart of patient inclusion and exclusion. SGLT2I, sodium-glucose cotransporter 2 inhibitor; T1D, type 1 diabetes; T2D, type 2 diabetes. Baseline characteristics of patients with T2D using SGLT2 inhibitors P values were calculated for differences between patients with and without hypoglycemic events. Hypoglycemia (+) denotes patients with hypoglycemic events. Hypoglycemia (−) denotes patients without hypoglycemic events. BMI, body mass index; DPP-4, dipeptidyl peptidase-4; α-GI, alpha-glucosidase inhibitor; GLP-1, glucagon-like peptide-1; SGLT2, sodium-glucose cotransporter 2; T2D, type 2 diabetes;.

Hypoglycemia risk

The overall incidence of hypoglycemia among patients with T2D receiving SGLT2 inhibitors was 0.60 (95% CI 0.45 to 0.81) per 100 person-years (table 2). Meanwhile, the age group with the highest incidence rate of hypoglycemia was the ≥65 years group (0.85 per 100 person-years; 95% CI 0.60 to 1.21), and the incidence rate of hypoglycemia was highest among those with a BMI <25 (1.04 per 100 person-years; 95% CI 0.72 to 1.51). As expected, the incidence of hypoglycemia was high in patients receiving SGLT2 inhibitors+insulin (1.20; 95% CI 0.80 to 1.88) and in those receiving SGLT2 inhibitors+SUs (0.73; 95% CI 0.39 to 1.40).
Table 2

Risk of hypoglycemia following initiation of SGLT2 inhibitors

nEventsEvents per 100 person-years (95% CI)
All patients171 6222160.60 (0.45 to 0.81)
Sex
 Male112 5211520.66 (0.47 to 0.94)
 Female59 101640.47 (0.28 to 0.84)
Age (years)
 <2588410.42 (0.06 to 2.96)
 25–4417 136100.35 (0.10 to 1.29)
 45–6469 543530.38 (0.21 to 0.69)
 ≥6584 0591520.85 (0.60 to 1.21)
BMI (kg/m2)
 <2565 2551141.04 (0.72 to 1.51)
 ≥25106 3651020.51 (0.32 to 0.82)
Antidiabetic medications (n)
 <5155 1521860.61 (0.45 to 0.82)
 ≥516 254300.21 (0.15 to 0.30)
Baseline use of antidiabetic medications
 α-GI20 283350.69 (0.35 to 1.67)
 DPP-4 inhibitors97 7171190.61 (0.41 to 0.91)
 Glinides10 290140.18 (0.15 to 0.23)
 GLP-1 receptor agonists790180.19 (0.07 to 0.51)
 Insulin34 915971.20 (0.80 to 1.88)
 Metformin73 083520.31 (0.18 to 0.59)
 Sulfonylureas34 903500.73 (0.39 to 1.40)
 Thiazolidinediones12 996150.18 (0.15 to 0.23)

BMI, body mass index; DPP-4, dipeptidyl peptidase-4; α-GI, alpha-glucosidase inhibitor; GLP-1, glucagon-like peptide-1; SGLT2, sodium-glucose cotransporter 2.

Risk of hypoglycemia following initiation of SGLT2 inhibitors BMI, body mass index; DPP-4, dipeptidyl peptidase-4; α-GI, alpha-glucosidase inhibitor; GLP-1, glucagon-like peptide-1; SGLT2, sodium-glucose cotransporter 2. Next, we investigated the HR of hypoglycemia among the study sample. As depicted in figure 2, female patients had a low risk of hypoglycemia compared with male patients (HR 0.73; 95% CI 0.54 to 0.98). The HR was higher in older patients (1.49 per 10 years; 95% CI 1.32 to 1.68), and was 1.98-fold higher in patients with a BMI <25 kg/m2 than in those with a BMI ≥25 kg/m2. When looking at concomitant medications, it is noteworthy that insulin users had a very high risk of hypoglycemia (HR 3.26; 95% CI 2.43 to 4.38). Furthermore, SU users had a high risk (HR 1.44; 95% CI 1.02 to 2.03) and metformin users had a low risk (HR 0.52; 95% CI 0.37 to 0.74). As shown in online supplemental figure 1, the HR ratio was calculated by classifying the SGLT2 inhibitors into types; none of the drugs were associated with a significant difference. In addition, we examined the risk of hypoglycemia in patients for whom HbA1c and eGFR test results were available (n=16 754) (online supplemental table 1). As illustrated in online supplemental figure 2, the HR was higher in older patients (1.47 per 10 years; 95% CI 1.03 to 2.10), and was 2.42-fold higher in patients with a BMI <25 kg/m2 than in those with a BMI ≥25 kg/m2. The HR was 4.78-fold (95% CI 1.73 to 13.2) higher in patients with an eGFR <30 mL/min than in those with an eGFR ≥60 mL/min. Looking at concomitant drugs, both insulin and SU drugs were still associated with a higher HR in this subset of patients (4.87 and 2.18, respectively); however, the HR when using metformin was not statistically significant in this subset.
Figure 2

Factors linked to the risk of hypoglycemia in the study sample. The forest plot indicates the HRs (diamonds) and 95% CIs (horizontal bars) for hypoglycemia among patients with type 2 diabetes using sodium-glucose cotransporter 2 inhibitors, according to baseline characteristics. DPP-4, dipeptidyl peptidase-4; α-GI, alpha-glucosidase inhibitor; GLP-1, glucagon-like peptide-1.

Factors linked to the risk of hypoglycemia in the study sample. The forest plot indicates the HRs (diamonds) and 95% CIs (horizontal bars) for hypoglycemia among patients with type 2 diabetes using sodium-glucose cotransporter 2 inhibitors, according to baseline characteristics. DPP-4, dipeptidyl peptidase-4; α-GI, alpha-glucosidase inhibitor; GLP-1, glucagon-like peptide-1.

Duration from initiation of treatment to onset of hypoglycemia

Finally, we investigated the duration from initiation of treatment with SGLT2 inhibitors until the onset of hypoglycemia in the subset of patients with hypoglycemia; the mean duration was 176.2±101.0 days. When dividing hypoglycemia onset into 30-day blocks from initiation of SGLT2 inhibitor treatment, the highest incidence occurred in the first 30 days, with a general downward trend with the passage of time (figure 3).
Figure 3

Duration from initiation of treatment with sodium-glucose cotransporter 2 (SGLT2) inhibitor to the onset of hypoglycemia.

Duration from initiation of treatment with sodium-glucose cotransporter 2 (SGLT2) inhibitor to the onset of hypoglycemia.

Discussion

This study revealed a detailed background of Japanese patients with T2D using SGLT2 inhibitors at a high risk of developing hypoglycemia. SGLT2 inhibitors reduce hyperglycemia by inhibiting proximal tubular reabsorption of glucose in the kidney; thus, the glucose-lowering effect is independent of insulin secretion.1 However, SGLT2 inhibitors are unlikely to cause hypoglycemia alone, as indicated previously. (1) Since the glucosuric effect of SGLT2 inhibitors is tied to the filtered load of glucose, they become ineffective once the filtered load reaches ≤80 g/day.21–23 (2) SGLT2 inhibitors increase plasma glucagon concentrations and gluconeogenesis in patients with T2D.24 25 Thus, the risk of hypoglycemia from SGLT2 inhibitors is low; in several meta-analyses of randomized controlled trials (RCTs), the authors reported that the risk of hypoglycemia when SGLT2 inhibitors were used alone was similar or lower to that when placebos were administered.26–28 In different RCTs,29–34 the incidence rate of hypoglycemia due to SGLT2 inhibitors alone was reported to be 0%–36%; in this study, it was at the lower end of that range, at 0.13%. The reason for this may be because of our definition of hypoglycemia as that requiring hospitalization, therefore excluding slight hypoglycemia. On the other hand, the Japan Diabetes Society published a recommendation35 on the proper use of SGLT2 inhibitors, stating that its combination with insulin or SUs increases the risk of severe hypoglycemia. One mechanism of action of SGLT2 inhibitors is the loss of body weight,26 which, in turn, reduces insulin resistance and enhances the effects of drugs that directly lower blood glucose, such as insulin and SUs. According to a review of safety data by McGill and Subramanian,36 when SGLT2 inhibitors were combined with insulin or insulin secretagogues, hypoglycemia was observed in approximately 40% of patients, similar to what was observed in placebos. Furthermore, Cai et al37 in their meta-analysis, discovered a similar increase in hypoglycemia risk after treatment with SGLT2 inhibitors when used in combination with insulin or SUs, both in Asian and non‐Asian patients. In the present study, the incidence of hypoglycemia on SGLT2 inhibitor treatment in combination with SU and insulin treatment was 0.73 and 1.20 per 100 patient-years, respectively. In addition, the risk of hypoglycemia on SGLT2 inhibitor treatment was 1.46 and 3.40 times higher in combination with SU and insulin use, respectively. Therefore, special attention should be paid to the risk of hypoglycemia when patients use these drugs in combination with SGLT2 inhibitors, as recommended by the Japan Diabetes Society.38 Therefore, when prescribing SGLT2 inhibitors, it may be necessary to reduce the prescribed dose of insulin and/or insulin secretagogues. Glimepiride accounted for the majority of the SU drugs targeted in this study. Therefore, we believe that the results of this SU drug mainly reflect the effects of glimepiride. In our study, a large fraction (30/216, 13.9%) of patients who experienced a hypoglycemic event after initiating SGLT2 inhibitors did so within 30 days. Since the risk seems to decrease over time, the need for carefully managing the risk of hypoglycemia is especially high in the first number of months after initiating SGLT2 inhibitor treatment. In our study, we discovered that combining metformin treatment with SGLT2 inhibitor treatment resulted in a lower risk of hypoglycemia compared with that observed in patients who are not given metformin therapy. Previous studies39–41 reported that such a combination does not carry a high risk for hypoglycemia; however, we are not aware of reports of a lower risk. SGLT2 inhibitors may be a suitable option for obese patients, as metformin alone cannot adequately improve their insulin resistance. As we observed that obese patients were at a lower risk of hypoglycemia on SGLT2 inhibitor usage, its concomitant use with metformin may be a safe option to treat T2D in such patients. The supplementary data provided, which were analyzed by adding HbA1c and eGFR, showed an increase in the HR ratio of hypoglycemia in patients with impaired renal function. Metformin is recommended to be withheld in patients with impaired renal function to avoid adverse events. Therefore, the active administration of metformin to patients who do not have a risk of hypoglycemia due to decreased renal function can be considered as the reason for reducing the risk of hypoglycemia. There are many possible reasons for the lowered risk when SGLT2 inhibitors are combined with metformin therapy; however, these need to be clarified in future studies. In our study, non-obese patients and those ≥65 years old were discovered to be at greater risk of hypoglycemia than obese and younger patients were. Previous studies have revealed a similar association with BMI and age. Post hoc epidemiological analysis of The Action to Control Cardiovascular Risk in Diabetes (ACCORD) study revealed that a higher BMI was associated with a lower risk of severe hypoglycemia (HR of patients with BMI ≥30 kg/m2: 0.65),42 and the Action in Diabetes and Vascular Disease : Preterax and Diamicron Modified Release Controlled Evaluation (ADVANCE) study11 revealed a 5% reduction in the risk of hypoglycemia with each additional 1.0 kg/m2. A study of Korean patients by Yun et al43 was also supportive of the above findings.44 45 In patients with a low BMI, insulin secretory capacity may be reduced, and insulin and SU drugs may be actively administered; this may be one of the reasons for the increased risk of hypoglycemia. In terms of age, older patients with T2D are more likely to be at risk for severe hypoglycemia-related effects, such as cognitive, renal impairment, and/or polypharmacy.46–48 In our study, women had a lower risk of hypoglycemia than men had (HR 0.72; 95% CI 0.54 to 0.97). We are not aware of reports outlining the difference in risk of hypoglycemia between men and women. Fluctuations in blood glucose levels depend on a variety of factors, including insulin resistance, insulin secretory capacity, and hepatic glucose control. We speculate that some of these may differ between men and women. In addition, SGLT2 inhibitors have been demonstrated to be involved in improving insulin sensitivity and regulating glucose in the liver.24 Since the current study design did not allow us to measure changes in these variables, it was not possible to elucidate the mechanism of the sex differences in hypoglycemia risk. No significant difference was found in the supplemental analysis that corrected for HbA1c or eGFR. The reason may be that the group with decreased eGFR clearly had an increased risk of hypoglycemia, and the gender difference disappeared. In any case, we believe that more patients with HbA1c and eGFR test values need to be collected and analyzed. On analysis of a subset of our study sample, patients with an eGFR <30 mL/min were observed to have a high risk of hypoglycemia (HR 4.78; 95% CI 1.73 to 13.2). On the other hand, in patients with advanced renal dysfunction, hypoglycemia is likely to occur due to decreased gluconeogenesis in the kidneys and decreased insulin clearance. Ito et al49 reported that the admission rate due to hypoglycemia increased with the progression of renal dysfunction. Therefore, attention should be paid to the development of hypoglycemia in patients with renal impairment.

Limitations

There were several limitations to our study. It is important to recognize that the MDV database does not represent all patients with diabetes in Japan, as it consists only of patients treated in Japanese emergency hospitals that use the DPC system. However, the proportion of patients with T2D in the MDV database (11%) is similar to that used in the 2017 Japanese Health and Nutrition Survey (14%).50 This suggests that the MDV data set may be a fair representation of Japanese patients with T2D. As we used the MDV database, it was not possible to track patients, without interruption or gaps, who transferred between hospitals and/or clinics, which may have resulted in the extraction of inaccurate outcomes, such as the inability to identify hypoglycemia. In addition, information on certain confounding factors of hypoglycemia (eg, HbA1c and eGFR) was available in the MDV database only for a limited number of patients. Therefore, future research is needed on large data sets, implementing multivariate hazard models that simultaneously control for multiple potential confounders. Due to the nature of the receipt database, the number of insulin doses could not be investigated; therefore, a detailed study of the insulin regimen was not possible. We believe that assessing the difference in hypoglycemic risk depending on the insulin regimen is necessary for further study.

Conclusion

In conclusion, the present real-world study revealed that patients with T2D and treated with SGLT2 inhibitors have an increased risk of developing hypoglycemia that requires hospitalization when it is combined with insulin or SUs in clinical practice. Furthermore, the risk of hypoglycemia associated with SGLT2 inhibitors was observed to be higher in older and non-obese patients than in those who were younger or obese, respectively. In addition, the risk was lower in female than in male patients, and in those using concomitant metformin. Moreover, our results suggest that a decline in renal function may be involved in the development of hypoglycemia, although it was based on a smaller data set than the other results were. Leveraging these findings may help minimize the risk of severe hypoglycemia due to treatment with SGLT2 inhibitors and may assist in maximizing the benefits of SGLT2 inhibitors for the treatment of T2D.
  48 in total

1.  Hypoglycemic Emergency in Patients With Diabetic Kidney Disease.

Authors:  Kiyonori Ito; Susumu Ookawara; Yoshiyuki Morishita
Journal:  Ther Apher Dial       Date:  2017-07-17       Impact factor: 1.762

2.  Metabolic response to sodium-glucose cotransporter 2 inhibition in type 2 diabetic patients.

Authors:  Ele Ferrannini; Elza Muscelli; Silvia Frascerra; Simona Baldi; Andrea Mari; Tim Heise; Uli C Broedl; Hans-Juergen Woerle
Journal:  J Clin Invest       Date:  2014-01-27       Impact factor: 14.808

3.  Empagliflozin and Progression of Kidney Disease in Type 2 Diabetes.

Authors:  Christoph Wanner; Silvio E Inzucchi; John M Lachin; David Fitchett; Maximilian von Eynatten; Michaela Mattheus; Odd Erik Johansen; Hans J Woerle; Uli C Broedl; Bernard Zinman
Journal:  N Engl J Med       Date:  2016-06-14       Impact factor: 91.245

Review 4.  Efficacy and safety of sodium-glucose cotransporter 2 inhibitors in patients with type 2 diabetes and moderate renal function impairment: A systematic review and meta-analysis.

Authors:  Lin Zhang; Mei Zhang; Qingguo Lv; Nanwei Tong
Journal:  Diabetes Res Clin Pract       Date:  2018-04-09       Impact factor: 5.602

5.  Canagliflozin and renal outcomes in type 2 diabetes: results from the CANVAS Program randomised clinical trials.

Authors:  Vlado Perkovic; Dick de Zeeuw; Kenneth W Mahaffey; Greg Fulcher; Ngozi Erondu; Wayne Shaw; Terrance D Barrett; Michele Weidner-Wells; Hsiaowei Deng; David R Matthews; Bruce Neal
Journal:  Lancet Diabetes Endocrinol       Date:  2018-06-21       Impact factor: 32.069

6.  The association between symptomatic, severe hypoglycaemia and mortality in type 2 diabetes: retrospective epidemiological analysis of the ACCORD study.

Authors:  Denise E Bonds; Michael E Miller; Richard M Bergenstal; John B Buse; Robert P Byington; Jeff A Cutler; R James Dudl; Faramarz Ismail-Beigi; Angela R Kimel; Byron Hoogwerf; Karen R Horowitz; Peter J Savage; Elizabeth R Seaquist; Debra L Simmons; William I Sivitz; Joann M Speril-Hillen; Mary Ellen Sweeney
Journal:  BMJ       Date:  2010-01-08

7.  The effects of baseline characteristics, glycaemia treatment approach, and glycated haemoglobin concentration on the risk of severe hypoglycaemia: post hoc epidemiological analysis of the ACCORD study.

Authors:  Michael E Miller; Denise E Bonds; Hertzel C Gerstein; Elizabeth R Seaquist; Richard M Bergenstal; Jorge Calles-Escandon; R Dale Childress; Timothy E Craven; Robert M Cuddihy; George Dailey; Mark N Feinglos; Farmarz Ismail-Beigi; Joe F Largay; Patrick J O'Connor; Terri Paul; Peter J Savage; Ulrich K Schubart; Ajay Sood; Saul Genuth
Journal:  BMJ       Date:  2010-01-08

Review 8.  The barrier of hypoglycemia in diabetes.

Authors:  Philip E Cryer
Journal:  Diabetes       Date:  2008-12       Impact factor: 9.461

9.  Efficacy and safety of dapagliflozin in addition to insulin therapy in Japanese patients with type 2 diabetes: Results of the interim analysis of 16-week double-blind treatment period.

Authors:  Eiichi Araki; Yukiko Onishi; Michiko Asano; Hyosung Kim; Ella Ekholm; Eva Johnsson; Toshitaka Yajima
Journal:  J Diabetes Investig       Date:  2016-01-22       Impact factor: 4.232

Review 10.  What is polypharmacy? A systematic review of definitions.

Authors:  Nashwa Masnoon; Sepehr Shakib; Lisa Kalisch-Ellett; Gillian E Caughey
Journal:  BMC Geriatr       Date:  2017-10-10       Impact factor: 4.070

View more
  3 in total

1.  Characterization and selection of Japanese electronic health record databases used as data sources for non-interventional observational studies.

Authors:  Yumi Wakabayashi; Masamitsu Eitoku; Narufumi Suganuma
Journal:  BMC Med Inform Decis Mak       Date:  2021-05-22       Impact factor: 2.796

2.  Effects of sodium-glucose cotransporter type 2 inhibitors on cardiovascular, renal, and safety outcomes in patients with cardiovascular disease: a meta-analysis of randomized controlled trials.

Authors:  Caiyun Zheng; Meimei Lin; Yan Chen; Haiting Xu; Lingqun Yan; Hengfen Dai
Journal:  Cardiovasc Diabetol       Date:  2021-04-22       Impact factor: 9.951

3.  EXercise to Prevent frailty and Loss Of independence in insulin treated older people with DiabetEs (EXPLODE): protocol for a feasibility randomised controlled trial (RCT).

Authors:  Rachel Stocker; James Shaw; Guy S Taylor; Miles D Witham; Daniel J West
Journal:  BMJ Open       Date:  2021-12-08       Impact factor: 2.692

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.