Literature DB >> 32681460

Reduced Hypoglycemia Risk in Type 2 Diabetes Patients Switched to/Initiating Insulin Glargine 300 vs 100 U/ml: A European Real-World Study.

Javier Escalada1,2,3, Fabrice Bonnet4, Jasmanda Wu5, Mireille Bonnemaire6, Shaloo Gupta7, Janelle M Cambron-Mellott7, Charlie Nicholls8, Dirk Müller-Wieland9.   

Abstract

INTRODUCTION: Randomized controlled trials and real-world data from the USA have shown similar glycemic control with insulin glargine 300 U/ml (Gla-300) and insulin glargine 100 U/ml (Gla-100) and reduced hypoglycemia risk with Gla-300. This real-world study describes the efficacy and safety of Gla-300 and Gla-100 in patients with type 2 diabetes (T2D) in France, Spain, and Germany.
METHODS: This retrospective chart review analysis used anonymized data for adults with T2D switching basal insulin analog (BIA) therapy to Gla-300 or Gla-100, or insulin-naïve patients initiating Gla-300 or Gla-100. Outcomes included change from baseline to 6-month follow-up in glycated hemoglobin A1c (A1C), total and severe hypoglycemia incidences and events, insulin dose, and reasons for BIA choice.
RESULTS: Six hundred sixty-five physicians (33.8% Spain, 31.7% France, 34.4% Germany) provided chart data for patients switching to Gla-300 (n = 679) or Gla-100 (n = 429) or initiating Gla-300 (n = 719) or Gla-100 (n = 711). After adjustment for baseline characteristics, A1C reductions from baseline were similar for patients switching to Gla-300 or Gla-100 (- 0.87% vs. - 0.93%; p = 0.326) while those switched to Gla-300 vs. Gla-100 had a significantly greater mean reduction in hypoglycemic events (- 1.29 vs. - 0.81 events during 6 months; p = 0.012). Mean insulin doses after titration were 0.43 ± 0.36 and 0.40 ± 0.28 U/kg in Gla-300 and Gla-100 switchers, respectively. Factors that significantly influenced BIA choice included a lower risk of hypoglycemia (for Gla-300) and physician familiarity (for Gla-100). Outcomes for insulin-naïve patients were broadly similar to those of switchers.
CONCLUSIONS: In this real-world European study, patients with T2D who switched therapy to Gla-300 or Gla-100 had improved glycemic control and reduced hypoglycemia at 6 months, with significant hypoglycemia advantages with Gla-300.

Entities:  

Keywords:  Diabetes mellitus; Hypoglycemia; Insulin glargine; Type 2

Year:  2020        PMID: 32681460      PMCID: PMC7444406          DOI: 10.1007/s12325-020-01436-5

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


Key Summary Points

Introduction

Approximately 60 million people in Europe have diagnosed type 2 diabetes (T2D), meaning that this disease affects around 10% of European adults aged ≥ 25 years [1]. Thus, T2D is a major burden on individuals and healthcare systems [2]. Joint American and European guidelines recommend lifestyle interventions as the first-line intervention, metformin as the first-line medication, and glucagon-like peptide 1 receptor antagonists as the first-line injectable medication [3]. As T2D is a progressive disease, patients will often eventually require insulin therapy [2]. However, there are a number of barriers to the initiation of insulin including fear of injections and hypoglycemia [2, 4]. A second-generation basal insulin analog (BIA), insulin glargine 300 U/ml (Gla-300), has been associated with significant reductions in some hypoglycemia outcomes (and comparable improvements in glycemic control) in randomized controlled trials (RCTs) in patients with T2D vs. the first-generation BIA, insulin glargine 100 U/ml (Gla-100) [5-9], which has been confirmed in recent trial-level [10] and patient-level [11, 12] meta-analyses. This advantage is likely due to Gla-300’s improved pharmacokinetic/pharmacodynamic (PK/PD) profile, longer half-life, and more stable bioavailability [13-15]. The reduced risk of hypoglycemia, in combination with additional advantages, such as reduced injection volumes and flexible dosing times, may allow second-generation BIAs to overcome some of the barriers to insulin acceptance and dose optimization [16-19]. The importance of complementing RCT data with real-world data, both to fill the gaps in RCT comparative effectiveness data and to ensure that data derived from RCTs are generalizable to different real-world treatment settings and patient populations, is increasingly being recognized [20]. A number of real-world studies from the US have demonstrated comparable to improved glycemic control and comparable to reduced hypoglycemia with Gla-300 vs. (mainly) first-generation BIAs in insulin-experienced [21-24] and insulin-naïve [23, 25] patients. However, there is a paucity of real-world comparative effectiveness research in European patient populations [26]. Non-comparative studies conducted in Europe have shown that switching to [27-29] or initiating [30] Gla-300 improves glycemic control, but the impact on hypoglycemia is unclear. The main objectives of the current study were to compare patient demographics, clinical characteristics, glycemic control, and hypoglycemic events of T2D patients prescribed Gla-300 or Gla-100 using data from clinical practice in France, Spain, and Germany. We also examined physicians’ reasons for initiating Gla-300 or Gla-100.

Methods

Study Design

This was a retrospective chart review analysis. Kantar obtained approval of the study protocol and case report form from Die Freiburger Ethik-Kommission International (FEKI) in Germany and Sterling IRB in the US. Informed consent was obtained from all respondents before enrollment. Participating physicians were compensated at the completion of the questionnaire and three or four eCRFs. The focus of this article is on the analyses of patients switching BIA therapy to either Gla-300 or Gla-100. Additional analyses are presented in the supplement for insulin-naïve patients who were initiating either Gla-300 or Gla-100. Figure 1 shows a schematic of the study design.
Fig. 1

Schematic of the study design

Schematic of the study design

The All Global Online Panel

Physicians were recruited via the All Global online panel of physicians and healthcare professionals (https://www.allglobalcircle.com/). In the European Union, panelists are recruited from proven medical list sources. A stringent sampling procedure ensures a representative demographic cross section that takes into consideration population density by: country, specialty, region, rural vs. urban, hospital vs. office, grades, gender, and therapy/disease areas.

Study Respondents

Potential physician respondents for the present study were invited to participate in a research study. The study details were not shown in the invitation, but rather were first viewed as part of the subsequent informed consent after agreement to participate. This decreased the likelihood of bias due to self-selection for participation. A ‘blinded’ approach to physician/patient de-identification was adopted; i.e., no personally identifiable information pertinent to physicians or patients was collected in this study. Demographic data, such as country, region, gender, and hospital vs. office setting, were collected and monitored to ensure that the respondents were representative of the physician population for each country. Eligible physicians were specialized in diabetology/endocrinology, internal medicine, or general/family practice, with 3–35 years of clinical practice and were working in a clinical setting for ≥ 60% of their working hours. Each physician had treated ≥ 40 patients with T2D monthly and had initiated ≥ 2 patients with Gla-300 or Gla-100 in the past 12 months.

Patient Record Selection and Data Extraction

Data were obtained from medical chart records, extracted by participating physicians, and from self-reported information from the physicians about their practice and attitudes toward treating patients with T2D. Patient characteristics and demographics analyzed included age, gender, country, race/ethnicity, body mass index (BMI), prior comorbidities, and Charlson Comorbidity Index (CCI). Diabetes-related characteristics included glycated hemoglobin A1c (A1C), prior medication use, and hospitalization during the past 6 months. Patient chart records were selected using a random decision rule. Physicians used a randomly assigned letter of the alphabet to select a patient surname whose chart was to be included (or the next letter of the alphabet, if necessary). Each physician included 3 or 4 patient charts, with ≤ 2 charts for each patient population (switchers to Gla-300, switchers to Gla-100, insulin-naïve initiating Gla-300, insulin-naïve initiating Gla-100).

Included Patients

Included patients were aged ≥ 18 years at the date of insulin switching/initiation, with a diagnosis of T2D, and had switched/initiated within the previous 12 months from the date of chart selection. They were treated, under the physician’s care, with Gla-300 or Gla-100 for ≥ 6 months post-switch/initiation, had ≥ 1 A1C laboratory value within the 6 months prior to switching/initiation, and ≥ 1 A1C laboratory value 3–6 months afterwards. In the switcher population, patients had been using BIA therapy for ≥ 6 months prior to switching. Although unlikely for patients switched to Gla-100, prior users of Gla-300 were excluded. In the insulin-naïve patient population, patients had not previously been treated with any type of insulin (i.e., basal insulin, bolus/mealtime insulin, or pre-mix insulin).

Outcome Measures

Outcome measures included changes from baseline to 6-month follow-up in: A1C (most recent result 3–6 months after switch/initiation); incidence of total hypoglycemia, including non-severe hypoglycemia (captured in the patient chart, having been reported by phone or during an office visit) and severe hypoglycemia (requiring active assistance, such as the assistance of another person to actively administer carbohydrate, glucagon, or other resuscitative or medical interventions such as emergency or ambulance calls, or physician intervention); incidence of severe hypoglycemia; total and severe hypoglycemic events; and daily weight-adjusted insulin dose. Also, reasons were given for switching treatment or new treatment choice.

Statistical Analyses

Descriptive statistics [means and standard deviations (SDs) for continuous variables and frequencies and percentages for categorical variables] were calculated for the study variables (SAS 9.3). Bivariate analyses were used to compare baseline and post-switch/initiation characteristics of patients prescribed Gla-300 vs. Gla-100 via two independent sample t tests for continuous measures and χ2 tests for categorical variables. Generalized linear models were used to compare post-switch/initiation outcomes between patients who were prescribed Gla-300 vs. Gla-100, while adjusting for baseline differences between groups. Covariates included all variables significantly different between groups as identified in the bivariate analyses as well as variables of a-priori interest.

Results

In total, 665 medical practitioners were recruited to the study during January to May 2018: 225 (33.8%) from Spain, 211 (31.7%) from France, and 229 (34.4%) from Germany. The majority were general/family practice physicians (n = 322; 48.4%), followed by diabetologists (n = 158; 23.8%), endocrinologists (n = 104; 15.6%) and internal medicine specialists (n = 81; 12.2%).

Baseline Characteristics

A total of 1108 patients who switched insulin were included, 679 to Gla-300 and 429 to Gla-100. Furthermore, 1430 insulin-naïve patients who had initiated insulin were included, of whom 719 had initiated Gla-300 and 711 had initiated Gla-100. At baseline, switchers to Gla-300 vs. switchers to Gla-100 had a higher mean BMI (29.6 kg/m2 vs. 28.5 kg/m2; p < 0.001) and lower mean A1C (8.42% vs. 8.57%; p = 0.045) (Table 1). Patients who switched to Gla-300 had most commonly previously been treated with Gla-100 (41.4%) or insulin detemir (28.6%), and 83.9% were using bolus/meal-time insulin. The majority of patients switching to Gla-100 had previously been taking insulin detemir (47.3%) or neutral protamine Hagedorn (NPH) insulin (39.9%) (Table 1). Prior to switching, the incidence (34.0% vs. 22.8%; p < 0.001) and mean rate (1.33 vs. 0.72 events per patient in 6 months; p = 0.003) of hypoglycemia were higher in patients who switched to Gla-300 vs. Gla-100 (Table 1).
Table 1

Switcher group patient disposition

CharacteristicSwitched to Gla-300 (n = 679)Switched to Gla-100 (n = 429)p value
Age, years63.1 ± 10.662.6 ± 11.40.522
Male401 (59.1)241 (56.2)0.344
Country0.074
 Germany225 (33.1)166 (38.7)
 Spain231 (34.0)147 (34.3)
 France223 (32.8)116 (27.0)
Race/ethnicity0.262
 European602 (88.7)375 (87.4)
 North African33 (4.9)19 (4.4)
 Other/mixed/declined to answer44 (6.5)35 (8.2)
CCIa0.8 ± 1.30.9 ± 1.40.738
BMI prior to switch, kg/m229.6 ± 5.1 (n = 558)28.5 ± 3.6 (n = 327)< 0.001
A1C, %8.42 ± 1.158.57 ± 1.300.045
Any hypoglycemia231/614 (37.6)98/379 (25.9)< 0.001
 Events per patient in 6 months1.33 ± 3.63 (n = 595)0.72 ± 1.97 (n = 367)0.003
Severe hypoglycemia75/570 (13.2)32/359 (8.9)0.048
 Events per patient in 6 months0.18 ± 0.52 (n = 570)0.11 ± 0.36 (n = 359)0.026
Total insulin dose prior to switch, U/kg/day0.40 ± 0.22 (n = 574)0.38 ± 0.23 (n = 338)0.107
Baseline BIA prior to switch< 0.001
 Gla-100281 (41.4)0 (0)
 Insulin detemir194 (28.6)203 (47.3)
 NPH insulin153 (22.5)171 (39.9)
 Abasaglar22 (3.2)25 (5.8)
 Insulin degludec15 (2.2)9 (2.1)
 Other/unavailable/unknown14 (2.1)21 (4.9)
Prior comorbidities
 Hypertension480 (70.7)289 (67.4)0.242
 Obesity/morbid obesity147 (21.6)52 (12.1)< 0.001
 Depression97 (14.3)50 (11.7)0.209
 Congestive heart failure78 (11.5)52 (12.1)0.750
 T2D with chronic complication76 (11.2)36 (8.4)0.132
 Renal disease64 (9.4)26 (6.1)0.046
 Myocardial infarction60 (8.8)49 (11.4)0.159
 Nephropathy due to diabetes47 (6.9)14 (3.3)0.009
 TIA/stroke41 (6.0)12 (2.8)0.014
 Foot or leg ulcer17 (2.5)7 (1.6)0.331
Prior diabetes medications
 Metformin310 (45.7)202 (47.1)0.642
 DPP-4 inhibitor99 (14.6)62 (14.5)0.953
 Sulfonylurea56 (8.2)45 (10.5)0.207
 GLP-1RA21 (3.1)10 (2.3)0.454
 SGLT-2 inhibitor14 (2.1)12 (2.8)0.431
 Fixed combinations
  BIA + GLP-1RA124 (18.3)88 (20.5)0.354
  DPP-4 inhibitor + metformin83 (12.2)28 (6.5)0.002
  SGLT-2 inhibitor + metformin10 (1.5)6 (1.4)0.920
  Sulfonylurea + metformin9 (1.3)5 (1.2)0.816
  SGLT-2 inhibitor + DPP-4 inhibitor1 (0.1)1 (0.2)0.743
Hospitalized in past 6 months1.0 ± 1.7 (n = 621)1.6 ± 5.2 (n = 380)0.011

Data are expressed as mean ± SD, n (%), or n/N (%) in case of missing data

A1C hemoglobin A1c, BIA basal insulin analog, BMI body mass index, CCI Charlson Comorbidity Index, DPP-4 dipeptidyl peptidase-4, Gla-100 insulin glargine 100 U/ml, Gla-300 insulin glargine 300 U/ml, GLP-1RA glucagon-like peptide 1 receptor agonist, NPH neutral protamine Hagedorn, SD standard deviation, TIA transient ischemic attack, SGLT2 sodium-glucose transport protein 2, T2D type 2 diabetes

aExcluding diabetes and diabetes with complications

Switcher group patient disposition Data are expressed as mean ± SD, n (%), or n/N (%) in case of missing data A1C hemoglobin A1c, BIA basal insulin analog, BMI body mass index, CCI Charlson Comorbidity Index, DPP-4 dipeptidyl peptidase-4, Gla-100 insulin glargine 100 U/ml, Gla-300 insulin glargine 300 U/ml, GLP-1RA glucagon-like peptide 1 receptor agonist, NPH neutral protamine Hagedorn, SD standard deviation, TIA transient ischemic attack, SGLT2 sodium-glucose transport protein 2, T2D type 2 diabetes aExcluding diabetes and diabetes with complications The following comorbidities were more common in patients switching to Gla-300 vs. Gla-100: obesity/morbid obesity (21.6% vs. 12.1%; p < 0.001), renal disease (9.4% vs. 6.1%; p = 0.046), nephropathy due to diabetes (6.9% vs. 3.3%; p = 0.009), and transient ischemic attack/stroke (6.0% vs. 2.8%; p = 0.014). Patient demographics and comorbidities for the insulin-naïve cohort are shown in Table S1 in the supplementary material. Insulin-naïve patients tended to have higher baseline A1C, less baseline hypoglycemia, higher use of oral diabetes medications, lower CCI, and fewer prior hospitalizations than the switcher group.

Changes in A1C and Hypoglycemia

At 3–6-month follow-up, mean reductions in A1C from baseline were similar for insulin-experienced patients switching to Gla-300 vs. Gla-100 (Fig. 2a). When adjusted for baseline characteristics, the reductions remained comparable: − 0.87% vs. − 0.93%, respectively; p = 0.326; Fig. 2b).
Fig. 2

Switcher group: a unadjusted and b adjusteda change in A1C from baseline to follow-up. aAdjusted for pre/post A1C difference, age, gender, baseline TIA/stroke, obesity, renal disease, nephropathy due to diabetes, metformin, DPP-4 inhibitor, sulfonylurea, bolus/meal-time insulin use, prior NPH insulin, and other basal insulin use, prior hospitalization, missing hospitalization data, country, ethnicity, insurance, treatment expectation, prior hypoglycemia, and time from treatment initiation to A1C measurement. b95% CI: − 0.19, 0.06. A1C hemoglobin A1c, CI confidence interval, DPP-4 dipeptidyl peptidase-4, Gla-100 insulin glargine 100 U/ml, Gla-300 insulin glargine 300 U/ml, NPH neutral protamine Hagedorn, TIA transient ischemic attack

Switcher group: a unadjusted and b adjusteda change in A1C from baseline to follow-up. aAdjusted for pre/post A1C difference, age, gender, baseline TIA/stroke, obesity, renal disease, nephropathy due to diabetes, metformin, DPP-4 inhibitor, sulfonylurea, bolus/meal-time insulin use, prior NPH insulin, and other basal insulin use, prior hospitalization, missing hospitalization data, country, ethnicity, insurance, treatment expectation, prior hypoglycemia, and time from treatment initiation to A1C measurement. b95% CI: − 0.19, 0.06. A1C hemoglobin A1c, CI confidence interval, DPP-4 dipeptidyl peptidase-4, Gla-100 insulin glargine 100 U/ml, Gla-300 insulin glargine 300 U/ml, NPH neutral protamine Hagedorn, TIA transient ischemic attack The mean reduction in hypoglycemic events per patient over 6 months was greater for Gla-300 switchers vs. Gla-100 switchers when unadjusted (Fig. 3a) and when adjusted for baseline characteristics (− 1.29 vs. − 0.81, respectively; p = 0.012; Fig. 3b). So too was the adjusted reduction in severe hypoglycemic events (− 0.17 vs. − 0.10, respectively; p = 0.038).
Fig. 3

Switcher group reduction in number of hypoglycemic events: a unadjusted data and b adjusted dataa. aAdjusted for pre/post hypoglycemia, age, gender, baseline TIA/stroke, obesity, renal disease, nephropathy due to diabetes, metformin, DPP-4 inhibitor, sulfonylurea, bolus/meal-time insulin use, prior NPH insulin and other basal insulin use, prior hospitalization, missing hospitalization data, country, ethnicity, insurance, treatment expectation, difference in post–pre A1C (or difference in A1C) (n = 927). b95% CI: − 0.86, − 0.11. A1C hemoglobin A1c, CI confidence interval, DPP-4 dipeptidyl peptidase-4, Gla-100 insulin glargine 100 U/ml, Gla-300 insulin glargine 300 U/ml, NPH neutral protamine Hagedorn, TIA transient ischemic attack

Switcher group reduction in number of hypoglycemic events: a unadjusted data and b adjusted dataa. aAdjusted for pre/post hypoglycemia, age, gender, baseline TIA/stroke, obesity, renal disease, nephropathy due to diabetes, metformin, DPP-4 inhibitor, sulfonylurea, bolus/meal-time insulin use, prior NPH insulin and other basal insulin use, prior hospitalization, missing hospitalization data, country, ethnicity, insurance, treatment expectation, difference in post–pre A1C (or difference in A1C) (n = 927). b95% CI: − 0.86, − 0.11. A1C hemoglobin A1c, CI confidence interval, DPP-4 dipeptidyl peptidase-4, Gla-100 insulin glargine 100 U/ml, Gla-300 insulin glargine 300 U/ml, NPH neutral protamine Hagedorn, TIA transient ischemic attack In the insulin-naïve group, Gla-300 vs. Gla-100 initiators had a significantly smaller adjusted reduction in A1C (− 1.21 vs. − 1.35; p = 0.014; Fig. S1 in the supplementary material) and a significantly greater adjusted reduction in hypoglycemia (− 0.20 vs. + 0.04; p = 0.001; Fig. S2 in the supplementary material).

Change in Dose

In the insulin-experienced group, the mean ± SD number of weeks of titration following insulin switch were similar for Gla-300 and Gla-100: 5.7 ± 4.0 and 5.6 ± 3.6 weeks, respectively; p = 0.751. There was no significant difference in weight-adjusted BIA dose between the two groups at initiation or during the titration phase (Fig. 4).
Fig. 4

Switcher group weight-adjusted insulin dose of Gla-300 and Gla-100a. BIA basal insulin analog, Gla-100 insulin glargine 100 U/ml, Gla-300 insulin glargine 300 U/ml

Switcher group weight-adjusted insulin dose of Gla-300 and Gla-100a. BIA basal insulin analog, Gla-100 insulin glargine 100 U/ml, Gla-300 insulin glargine 300 U/ml Weight-adjusted insulin doses in the insulin-naïve groups are shown in Fig. S3 in the supplementary material.

Changes in Other Diabetes Medications

Use of bolus/meal-time insulin decreased considerably after switching to Gla-300 or Gla-100, but use of other diabetes medications was relatively stable (Table 1 vs. Table S2 in the supplementary material). Among insulin-naïve patients, the use of dipeptidyl peptidase-4 inhibitors, sulfonylureas, and fixed-combination dipeptidyl peptidase-4 inhibitor + metformin decreased considerably, but use of other diabetes medications was relatively stable (Tables S1 vs. S3 in the supplementary material).

Reasons for BIA Choice

The reasons for treatment choice are shown in Fig. 5a. Reasons that were significantly more often cited for Gla-300 vs. Gla-100 included a lower risk of hypoglycemia (36.7% vs. 25.6%; p < 0.001) and clinical benefits other than glycemic control (41.1% vs. 33.8%; p = 0.015). Reasons that were significantly more often cited for Gla-100 vs. Gla-300 were: familiarity (31.7% vs. 24.7%; p = 0.011), treatment guidelines (10.5% vs. 7.1%; p = 0.046), and formulary reasons (8.9% vs. 5.2%; p = 0.016). Comorbidities/contraindications did not appear to be a driver of treatment decisions (Fig. 5a).
Fig. 5

Switcher group: a physicians’ reasons for treatment decisions and b physician’s main treatment expectationsa. aOverall Gla-300 vs. Gla-100: p < 0.001. Gla-100 insulin glargine 100 U/ml, Gla-300 insulin glargine 300 U/ml

Switcher group: a physicians’ reasons for treatment decisions and b physician’s main treatment expectationsa. aOverall Gla-300 vs. Gla-100: p < 0.001. Gla-100 insulin glargine 100 U/ml, Gla-300 insulin glargine 300 U/ml The split between the main treatment expectations differed significantly between Gla-300 and Gla-100 (Fig. 5b). While achievement of a better glycemic target was the most common expectation for Gla-300 and Gla-100 (49.9% and 57.6%, respectively), the second most common treatment expectation was a lower risk of hypoglycemia for Gla-300 (23.3%) but being easier to titrate for Gla-100 (20.7%). In insulin-naïve patients, results were broadly similar (Fig. S4 in the supplementary material).

Outcomes by Country

In bivariate comparisons, insulin-experienced patients in Spain, Germany, and France had similar > 1% A1C reductions after switching treatments (Table S4 in the supplementary material). The reductions in hypoglycemic events were significantly different between patients switched to Gla-300 vs. Gla-100 in Spain (− 1.78 vs. − 0.82; p = 0.019) and France (− 1.11 vs. − 0.52; p = 0.048), but did not reach statistical significance in Germany (− 0.72 vs. − 0.26; p = 0.078) (Table S4 in the supplementary material). In insulin-naïve patients, results by country were broadly similar to the main analysis (Table S5 in the supplementary material).

Discussion

In this comparative real-world analysis of European data from insulin-experienced patients who switched BIA therapy to either Gla-300 or Gla-100, at 6 months after switching, improvements in glycemic control were similar in both treatment groups, with A1C reductions of about 1%. In multivariate analyses adjusting for baseline differences, switching to Gla-300 vs. Gla-100 was associated with a significantly greater reduction in the number of hypoglycemic events. Results for insulin-naïve patients initiating Gla-300 or Gla-100 were broadly similar, with A1C reductions of about 1.2–1.3% from baseline, and a significant difference in adjusted hypoglycemic events, with Gla-300 showing a decrease while Gla-100 showed a slight increase. Both groups may have benefited from further titration in terms of their A1C improvement. At baseline, patients switching BIA therapy to Gla-300 vs. Gla-100 had a higher BMI, higher incidence of hypoglycemia, lower A1C, and a greater burden of comorbidities, while those initiating Gla-300 vs. Gla-100 were younger, were more often male and of European race/ethnicity, had a higher BMI, had more hypoglycemia, and had more comorbidities. In a previous study conducted in Germany and Austria, patients with T2D who were prescribed Gla-300 (switch or initiate) were also younger, had a higher BMI, and had lower A1C [31]. Our outcomes data are generally in line with those from the EDITION series of RCTs comparing Gla-300 and Gla-100. In the EDITION T2D studies, Gla-300 and Gla-100 were found to achieve similar glycemic control, but Gla-300 was associated with improvements in some hypoglycemia end points in insulin-experienced patients treated with basal-bolus therapy [5] or oral + basal therapy [6, 7] and in insulin-naïve patients [8, 9]. In the EDITION 1 study, which recruited patients on basal and meal-time insulin, switching to Gla-300 resulted in a similar reduction in A1C after 6 months (− 0.83%) [5] as that seen in our study (− 0.87%, adjusted). This result is notable given the assumed advantages of the RCT setting for achieving therapeutic end points, including treat-to-target titration schemes and the increased attention provided by the structure of the RCT, which may improve patient adherence to therapy [32]. However, it should be noted that mean baseline A1C was lower in EDITION 1 than in the present study (8.16% vs. 8.47%, respectively), body weight was higher (106 vs. 84 kg), and there was a requirement for a relatively high baseline use of basal insulin (≥ 42 U/day) in EDITION 1 [5], all factors that could potentially have an impact on observed A1C changes. In the EDITION 3 study in insulin-naïve patients [8], mean baseline A1C was also lower than in the insulin-naïve population in the present study (8.54% vs. 8.68%); however, reductions in A1C were slightly more comparable (approximately − 1.5% vs. − 1.31% in the present study). In the current study, the small but significantly greater A1C reduction among Gla-100 vs. Gla-300 initiators (− 0.14%, p = 0.014) is unlikely to be of clinical significance. This was also at the cost of a slight increase in hypoglycemia, possibly the result of the different attitude toward patient management (i.e., greater focus on better glycemic control than on reduced hypoglycemia). Our data also add to a growing body of real-world evidence demonstrating the effectiveness of switching to Gla-300. In previous real-world studies, insulin-experienced patients who switched to Gla-300 consistently showed important reductions in A1C [18, 21–23, 27–29, 32]. In those studies with a (mainly) first-generation BIA propensity score-matched comparator group, Gla-300 showed similar improvements in glycemic control [21-23]. None of these comparative studies were conducted in Europe, but the results of two pragmatic studies that were mainly conducted in Europe have recently been published [26]. These were randomized real-world insulin-experienced and -naïve patients to Gla-300 or standard-of-care BIA (mainly Gla-100) [26]. Gla-300 was non-inferior for A1C reduction among insulin-naïve but not insulin-experienced patients [26]. In the current study, Gla-300 switchers had a larger unadjusted reduction in hypoglycemia events than Gla-100 switchers, but this was mainly due to a higher number of events during baseline as the number during follow-up was similar in both groups. However, after controlling for covariates, the reduction in hypoglycemia events with Gla-300 remained significant. Here, once again, our data are in line with other real-world studies, which have shown reduced hypoglycemia risk with Gla-300 vs. (mainly) first-generation BIAs [18, 21–23, 33]. In the above-mentioned pragmatic studies that were mainly conducted in Europe, most hypoglycemia end points were similar for Gla-300 and standard-of-care BIA, but there were some significant reductions in nocturnal hypoglycemia with Gla-300 [26]. These hypoglycemia advantages are presumed to be derived from the more stable PK/PD profile of Gla-300 [13-15]. The higher rate of baseline hypoglycemia in the Gla-300 switcher group is unsurprising, given that physicians cited a lower risk of hypoglycemia as a major reason for switching to Gla-300 and a lower rate of hypoglycemia was more often a primary expectation after switching in the patients for whom Gla-300 was chosen. These data are in line with a US study, where hypoglycemia advantages were stated as a reason to switch to Gla-300 [18]. However, a study from The Netherlands reported that reduced volume, improved flexibility, and better quality of life were more often cited as reasons for switching to Gla-300 than fear of hypoglycemia [19]. Interestingly, in a study that included patients with diabetes from 17 countries, the proportions who were concerned about hypoglycemia varied widely by country, from approximately 30% (in The Netherlands) to around 80% (in Algeria) [4]. In the current study, the higher rates of comorbidities in the Gla-300 group did not appear to be a driver of treatment choices, with only approximately 5% of physicians stating that this was a reason for switching, a similar proportion to that seen in the Gla-100 group. Familiarity with therapy was also previously seen to be a more frequent reason given by physicians when prescribing Gla-100 [18], and this was also observed in the present study. Gla-300 had relatively recently been approved (2015 in Germany and 2017 in France and Spain) when participating physicians were recruited to the study (early 2018), and so their reasoning for treatment selection might be expected to change as they gain experience and familiarity over time. Responses for the insulin-naïve group suggest that drivers of physician treatment choice were similar to those reported for the insulin-experienced group who were switching. There appeared to be some country-specific differences in rates of hypoglycemia following insulin switching in our study, with a difference in severe hypoglycemia in favor of Gla-300 evident in Spain alone. However, it should be noted that the country-specific subgroup analyses involved relatively small sample sizes. Additionally, interpretation of results is complicated by differences in the approach to insulin titration that may be evident in different countries. Other studies have reported differences in hypoglycemia between different European countries, although these were more evident prior to insulin initiation than afterwards [34]. Such differences may, in part, be due to country-specific differences in factors such as the way that hypoglycemia is defined or recorded, patient characteristics, or the way that BIAs are titrated. Large global observational studies such as DISCOVER (n = 15,000), which is investigating real-world treatment patterns across 38 countries, may help shed light on the reasons behind such international differences in outcomes [35]. The REALI project, a pooled analysis of European studies, may also provide further information on Gla-300 use in Europe [36]. Our study has a number of limitations. As a retrospective analysis of patient medical records sourced from self-selected physicians, the data here represent a convenience sample that may not be generalizable to all patients using Gla-300 or Gla-100 in the countries included. Given the time frame of the study and the introduction of Gla-300 to the market, more patients were perhaps being switched to Gla-300 than other BIAs. Therefore, it was relatively difficult to find eligible patients who had recently switched to Gla-100. Although the analysis plan required similar numbers of patients in both the switcher and naïve groups, despite extending the ‘recruitment’ period, fewer of these patients were included in the database relative to the other groups. The analysis was nevertheless undertaken as sufficient numbers were available. The data submitted by physicians may be subject to channeling bias and unmeasured confounders, such as socioeconomic status, or disease severity, and country-specific differences in how hypoglycemia is reported and how insulin titration is managed. Indeed, patients in the two groups do show some differences, and physicians were known to initiate therapies for different reasons. Analyses adjusted for baseline differences should minimize their influence, but some element of confounding may remain. Propensity score matching of included patients was considered but rejected in favor of the regression method because of the reductive nature of the method. Bolus/meal-time insulin use among BIA switchers and non-insulin diabetes medication use among BIA initiators fell dramatically after switching/initiation of Gla-300 or Gla-100, which could have impacted A1C and hypoglycemia results. However, as the changes were similar in both BIA groups, this should not have overly affected the between-group comparisons. Lastly, hypoglycemia levels were likely to be underestimated because of a reliance upon recorded events that were significant enough to show up in medical charts. Despite the limitations, there are significant strengths of this study. Medical record abstraction provides an opportunity to assess real-world data outside the highly controlled setting of clinical trials. Data were collected from relatively large samples from three European countries, healthcare professional profiles were diverse, and it was possible to assess clinical, biologic, and BIA dose data, even if based on chart reviews. The random decision rule design may have helped control for some confounding aspects of the convenience sample, such as a tendency for physicians to select the most recent charts available.

Conclusion

This comparative European real-world study—which examined patients who were switched to or initiated Gla-300 or Gla-100—supports the results from RCTs and US real-world comparative studies that Gla-300 provides comparable glycemic control to Gla-100, but with a reduced risk of hypoglycemia. This study provides important additional evidence in European patients, as there were previously little comparative data in this population. Regarding choice of therapy, physicians were more likely to select Gla-300 to achieve a lower risk of hypoglycemia, whereas familiarity was more important when selecting Gla-100. It would be interesting to repeat this analysis when physicians are equally familiar with the use of Gla-300 and Gla-100. Below is the link to the electronic supplementary material. Supplementary file1 (DOCX 150 kb)
Why carry out this study?
Randomized controlled trials and real-world comparative studies from the US have shown that insulin glargine 300 U/ml (Gla-300) provides similar glycemic control to insulin glargine 100 U/ml (Gla-100) but is less likely to cause hypoglycemia. However, data from Europe are scarce.
This real-world study therefore described the efficacy and safety of Gla-300 and Gla-100 in patients with type 2 diabetes (T2D) in Spain, France, and Germany.
What was learned from the study?
Patients with T2D who switched from another basal insulin analog to Gla-300 or Gla-100 had similarly improved glycemic control, while those who switched to Gla-300 had greater reductions in hypoglycemia.
Insulin-naïve patients with T2D who initiated Gla-300 or Gla-100 also had greater reductions in hypoglycemia.
Physicians selected Gla-300 over Gla-100 to achieve a lower risk of hypoglycemia.
  35 in total

1.  Factors associated with injection omission/non-adherence in the Global Attitudes of Patients and Physicians in Insulin Therapy study.

Authors:  M Peyrot; A H Barnett; L F Meneghini; P-M Schumm-Draeger
Journal:  Diabetes Obes Metab       Date:  2012-07-17       Impact factor: 6.577

2.  Clinical perspectives from the BEGIN and EDITION programmes: Trial-level meta-analyses outcomes with either degludec or glargine 300U/mL vs glargine 100U/mL in T2DM.

Authors:  R Roussel; R Ritzel; E Boëlle-Le Corfec; B Balkau; J Rosenstock
Journal:  Diabetes Metab       Date:  2018-02-19       Impact factor: 6.041

3.  New insulin glargine 300 U/ml compared with glargine 100 U/ml in insulin-naïve people with type 2 diabetes on oral glucose-lowering drugs: a randomized controlled trial (EDITION 3).

Authors:  G B Bolli; M C Riddle; R M Bergenstal; M Ziemen; K Sestakauskas; H Goyeau; P D Home
Journal:  Diabetes Obes Metab       Date:  2015-02-12       Impact factor: 6.577

4.  Patient-level meta-analysis of the EDITION 1, 2 and 3 studies: glycaemic control and hypoglycaemia with new insulin glargine 300 U/ml versus glargine 100 U/ml in people with type 2 diabetes.

Authors:  R Ritzel; R Roussel; G B Bolli; L Vinet; C Brulle-Wohlhueter; S Glezer; H Yki-Järvinen
Journal:  Diabetes Obes Metab       Date:  2015-06-16       Impact factor: 6.577

5.  Glycaemic control and hypoglycaemia burden in patients with type 2 diabetes initiating basal insulin in Europe and the USA.

Authors:  Dídac Mauricio; Luigi Meneghini; Jochen Seufert; Laura Liao; Hongwei Wang; Liyue Tong; Anna Cali; Peter Stella; Paulo Carita; Kamlesh Khunti
Journal:  Diabetes Obes Metab       Date:  2017-04-10       Impact factor: 6.577

6.  Real-world evidence concerning clinical and economic outcomes of switching to insulin glargine 300 units/mL vs other basal insulins in patients with type 2 diabetes using basal insulin.

Authors:  Fang Liz Zhou; Fen Ye; Paulos Berhanu; Vineet E Gupta; Rishab A Gupta; Jennifer Sung; Jukka Westerbacka; Timothy S Bailey; Lawrence Blonde
Journal:  Diabetes Obes Metab       Date:  2018-01-24       Impact factor: 6.577

7.  Rates of Hypoglycemia Predicted in Patients with Type 2 Diabetes on Insulin Glargine 300 U/ml Versus First- and Second-Generation Basal Insulin Analogs: The Real-World LIGHTNING Study.

Authors:  Jeremy Pettus; Ronan Roussel; Fang Liz Zhou; Zsolt Bosnyak; Jukka Westerbacka; Rachele Berria; Javier Jimenez; Björn Eliasson; Irene Hramiak; Timothy Bailey; Luigi Meneghini
Journal:  Diabetes Ther       Date:  2019-02-14       Impact factor: 2.945

8.  New insulin glargine 300 U/ml versus glargine 100 U/ml in Japanese people with type 2 diabetes using basal insulin and oral antihyperglycaemic drugs: glucose control and hypoglycaemia in a randomized controlled trial (EDITION JP 2).

Authors:  Y Terauchi; M Koyama; X Cheng; Y Takahashi; M C Riddle; G B Bolli; T Hirose
Journal:  Diabetes Obes Metab       Date:  2016-01-21       Impact factor: 6.577

9.  Improved diabetes medication convenience and satisfaction in persons with type 2 diabetes after switching to insulin glargine 300 U/mL: results of the observational OPTIN-D study.

Authors:  Thomas H Wieringa; Maartje de Wit; Jos Wr Twisk; Frank J Snoek
Journal:  BMJ Open Diabetes Res Care       Date:  2018-10-01

10.  Management of Hyperglycemia in Type 2 Diabetes, 2018. A Consensus Report by the American Diabetes Association (ADA) and the European Association for the Study of Diabetes (EASD).

Authors:  Melanie J Davies; David A D'Alessio; Judith Fradkin; Walter N Kernan; Chantal Mathieu; Geltrude Mingrone; Peter Rossing; Apostolos Tsapas; Deborah J Wexler; John B Buse
Journal:  Diabetes Care       Date:  2018-10-04       Impact factor: 19.112

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  3 in total

1.  Utilisation Trend of Long-Acting Insulin Analogues including Biosimilars across Europe: Findings and Implications.

Authors:  Brian Godman; Magdalene Wladysiuk; Stuart McTaggart; Amanj Kurdi; Eleonora Allocati; Mihajlo Jakovljevic; Francis Kalemeera; Iris Hoxha; Anna Nachtnebel; Robert Sauermann; Manfred Hinteregger; Vanda Marković-Peković; Biljana Tubic; Guenka Petrova; Konstantin Tachkov; Juraj Slabý; Radka Nejezchlebova; Iva Selke Krulichová; Ott Laius; Gisbert Selke; Irene Langner; András Harsanyi; András Inotai; Arianit Jakupi; Svens Henkuzens; Kristina Garuolienė; Jolanta Gulbinovič; Patricia Vella Bonanno; Jakub Rutkowski; Skule Ingeberg; Øyvind Melien; Ileana Mardare; Jurij Fürst; Sean MacBride-Stewart; Carol Holmes; Caridad Pontes; Corinne Zara; Marta Turu Pedrola; Mikael Hoffmann; Vasileios Kourafalos; Alice Pisana; Rita Banzi; Stephen Campbell; Bjorn Wettermark
Journal:  Biomed Res Int       Date:  2021-10-11       Impact factor: 3.411

2.  Efficacy and Safety of Insulin Glargine 300 U/mL in People with Type 2 Diabetes Uncontrolled on Basal Insulin: The 26-Week Interventional, Single-Arm ARTEMIS-DM Study.

Authors:  Bipin Sethi; Khalid Al-Rubeaan; Mustafa Unubol; Maria A Mabunay; Baptiste Berthou; Valerie Pilorget; Shireene R Vethakkan; Gustavo Frechtel
Journal:  Diabetes Ther       Date:  2022-06-17       Impact factor: 3.595

3.  The Current Situation Regarding Long-Acting Insulin Analogues Including Biosimilars Among African, Asian, European, and South American Countries; Findings and Implications for the Future.

Authors:  Brian Godman; Mainul Haque; Trudy Leong; Eleonora Allocati; Santosh Kumar; Salequl Islam; Jaykaran Charan; Farhana Akter; Amanj Kurdi; Carlos Vassalo; Muhammed Abu Bakar; Sagir Abdur Rahim; Nusrat Sultana; Farzana Deeba; M A Halim Khan; A B M Muksudul Alam; Iffat Jahan; Zubair Mahmood Kamal; Humaira Hasin; Shamsun Nahar; Monami Haque; Siddhartha Dutta; Jha Pallavi Abhayanand; Rimple Jeet Kaur; Godfrey Mutashambara Rwegerera; Renata Cristina Rezende Macedo do Nascimento; Isabella Piassi Dias Godói; Mohammed Irfan; Adefolarin A Amu; Patrick Matowa; Joseph Acolatse; Robert Incoom; Israel Abebrese Sefah; Jitendra Acharya; Sylvia Opanga; Lisper Wangeci Njeri; David Kimonge; Hye-Young Kwon; SeungJin Bae; Karen Koh Pek Khuan; Abdullahi Rabiu Abubakar; Ibrahim Haruna Sani; Tanveer Ahmed Khan; Shahzad Hussain; Zikria Saleem; Oliver Ombeva Malande; Thereza Piloya-Were; Rosana Gambogi; Carla Hernandez Ortiz; Luke Alutuli; Aubrey Chichonyi Kalungia; Iris Hoxha; Vanda Marković-Peković; Biljana Tubic; Guenka Petrova; Konstantin Tachkov; Ott Laius; András Harsanyi; András Inotai; Arianit Jakupi; Svens Henkuzens; Kristina Garuoliene; Jolanta Gulbinovič; Magdalene Wladysiuk; Jakub Rutkowski; Ileana Mardare; Jurij Fürst; Stuart McTaggart; Sean MacBride-Stewart; Caridad Pontes; Corinne Zara; Eunice Twumwaa Tagoe; Rita Banzi; Janney Wale; Mihajlo Jakovljevic
Journal:  Front Public Health       Date:  2021-06-24
  3 in total

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