Literature DB >> 35864262

Comparative effectiveness and safety of glargine 300 U/mL versus degludec 100 U/mL in insulin-naïve patients with type 2 diabetes. A multicenter retrospective real-world study (RESTORE-2 NAIVE STUDY).

Gian Paolo Fadini1, Raffaella Buzzetti2, Antonio Nicolucci3, Monica Larosa4, Maria Chiara Rossi5, Domenico Cucinotta6.   

Abstract

AIMS: This study assessed comparative effectiveness of glargine 300 U/mL (Gla-300) versus degludec 100 U/mL (Deg-100) in insulin-naïve patients with T2D.
METHODS: This is a retrospective, multicenter, non-inferiority study based on electronic medical records. All patients initiating Gla-300 or Deg-100 were 1:1 propensity score-matched (PSM). Linear mixed models were used to assess the changes in continuous endpoints. Incidence rates (IR) of hypoglycemia were compared using Poisson's regression models.
RESULTS: Nineteen centers provided data on 357 patients in each PSM cohort. HbA1c after 6 months (primary endpoint) decreased by - 1.70% (95%CI - 1.90; - 1.50) in Gla-300 group and - 169% (95%CI - 1.89; - 1.49) in Deg-100 group, confirming non-inferiority of Gla-300 versus Deg-100. Fasting blood glucose (BG) decreased by ~60 mg/dl in both groups; body weight remained unchanged. In both groups, the mean starting dose was 12U (0.15U/kg) and it was slightly titrated to 16U (0.20U/kg). IR (episodes per patient-months) of BG ≤70 mg/dl was 0.13 in Gla-300 group and 0.14 in Deg-100 group (p=0.87). IR of BG <54 mg/dL was 0.02 in both groups (p=0.49). No severe hypoglycemia occurred.
CONCLUSION: Initiating Gla-300 or Deg-100 was associated with similar improvements in glycemic control, no weight gain and low hypoglycemia rates, without severe episodes during 6 months of treatment.
© 2022. The Author(s).

Entities:  

Keywords:  Basal insulin; Degludec 100; Effectiveness; Glargine 300; Naïve; Safety; Type 2 diabetes

Mesh:

Substances:

Year:  2022        PMID: 35864262      PMCID: PMC9402723          DOI: 10.1007/s00592-022-01925-9

Source DB:  PubMed          Journal:  Acta Diabetol        ISSN: 0940-5429            Impact factor:   4.087


Introduction

Improving glycemic control in type 2 diabetes (T2D) is a major goal of care, to reduce the incidence of micro- and macro-vascular complications [1, 2], but it is also a major challenge for patients, physicians and healthcare systems. In fact, inertia in intensifying diabetes therapy and especially in initiating basal insulin in patients with poor metabolic control is a well-recognized problem [3]. Many barriers exist and refer to clinicians, patients and settings; fear of hypoglycemia represents the main limitation to a prompt intensification [4, 5]. Second-generation basal insulin analogues (2BI) represent an opportunity to overcome these barriers. According to randomized controlled trials (RCTs), 2BI are non-inferior to first-generation basal insulins (1BI) with regard to the reduction of HbA1c but safer in terms of hypoglycemia and with lower variability [6]. Two 2BI are currently available: insulin glargine 300 units/mL (Gla-300), commercialized in Italy in 2017, and degludec 100 units/ml (Deg-100), available since 2014. Both insulins display a more stable pharmacokinetic and pharmacodynamic profile and a longer duration of action compared to the first-generation basal insulin glargine 100 units/mL (Gla-100) [6-10]. In the phase-3 studies from the EDITION clinical registration program [11-14], Gla-300 proved to be non-inferior to Gla-100 in T1D and T2D patients as well as among insulin naïve patients or switchers. A significantly lower percentage of patients with T2D or T1D experienced confirmed and/or severe nocturnal hypoglycemic events while being on Gla-300 compared to Gla-100 [11-14]. The BEGIN clinical registration program [15-18] showed comparable glycemic control of Deg-100 vs. Gla-100 and a lower rate of overall hypoglycemia in T2D and nocturnal hypoglycemia in T1D. The randomized, head-to-head, parallel group BRIGHT study [19] involving insulin-naïve patients with T2D demonstrated that Gla-300 and Deg-100 provided similar glycemic control improvements with relatively low hypoglycemia risk. Hypoglycemia rate was comparable with the two basal insulins during the full study period, but lower with Gla-300 during the dose titration period. The CONCLUDE trial, involving people with T2D switching from 1BIs to Gla-300 or the new 200 U/mL formulation of insulin degludec, documented a similar rate of overall symptomatic hypoglycemia during the 36-week maintenance period [20]. Real-world evidence (RWE) is needed to assess effectiveness and safety of 2BI when prescribed in different settings [21], as the three real-world studies currently available [22-24], all conducted in US settings, provided controversial results. Therefore, real-world data on 2BI in patients with T2D are relatively scant, and most importantly, data from European countries are missing. Given these premises, the RESTORE-2 study aimed at assessing the comparative effectiveness and safety of Gla-300 versus Deg-100 in a cohort of insulin-naïve patients with T2D followed under routine care in Italian diabetes outpatient clinics.

Methods

Study design and patients

The RESTORE-2 study was a retrospective, comparative, multicenter study. Inclusion criteria were: male or female gender, age ≥18 years, diagnosis of T2D (any disease duration), initiation of Gla-300 or Deg-100 from January 2017 to January 2020 and no previous treatment with basal insulin (naïve cohort) as recorded in the electronic medical records (EMRs). Exclusion criteria were: diagnosis of T1D, more than one type of basal insulin prescribed at index date or prescription of another basal insulin analogue in the six months after initiating insulin Gla-300 or Deg-100. Anonymous patient data were derived from the same electronic chart system adopted at all participating centers (Smart Digital Clinic software—property of METEDA s.r.l.) Centers recorded data on EMRs according to their clinical practice, taking into consideration that patients with T2D who need intensification are generally seen by the diabetologist on a 3-6 months basis. The date of the first prescription of the 2BI was considered as the index date (T0, baseline). All data relative to the period before and after the index date (± 6 months) for each patient were extracted and analyzed. Data recorded in the 6 months previous T0 were used to identify the baseline characteristics of patients, whereas data collected after 6 months (T6) represented the follow-up data. When more values of the same parameters were available during the before and after T0 periods, those recorded in the nearest date to T0 and T6 were considered. Data relative to the efficacy endpoints were considered only if values were recorded at T0±30 days and T6±30 days. The following characteristics were considered to describe the baseline patient profile: age, gender, diabetes duration, HbA1c, fasting blood glucose (FBG), weight/body mass index (BMI), total, basal and short-acting insulin dose, number of insulin injections, glucose-lowering drugs other than insulin, blood pressure, lipid profile, diabetes complications (low glomerular filtration rate, albuminuria, cardiovascular complications—i.e., myocardial infarction, coronary revascularization, coronary artery bypass, stroke, lower limb complications, peripheral artery disease—by ICD-9 CM codes). Efficacy endpoints were: changes at 6 months (T6) in HbA1c, insulin doses, FBG and body weight (continuous endpoints); and frequency and proportion of patients with HbA1c <7% and HbA1c <8% at T0 and T6 (categorical endpoints). Changes in HbA1c at 6 months from the Gla-300 or Deg-100 initiation represented the primary endpoint. Safety endpoints were: episodes of hypoglycemia ≤70 mg/dl or <54 mg/dl from self-monitoring blood glucose tests (SMBG) downloaded in EMR (cutoffs recommended by ADA guidelines 2017) during 6 months, severe hypoglycemia (defined as “need of assistance by a third party” and reported in a dedicated module of the EMR) during 6 months. In addition, the change in HbA1c at 12 months was evaluated as a post hoc analysis in the subgroup of patients with available data.

Statistical analysis

Sample size estimation was based on the primary endpoint, represented by the change in HbA1c levels after 6 months from the initiation of Gla-300 or Deg-100. We calculated that 296 patients per group were needed in order to achieve 80% power to detect non-inferiority using a one-sided, two-sample t-test. The margin of non-inferiority was set at 0.3%, which is generally considered a clinically meaningful difference. The true difference between the means was assumed to be 0.0. The significance level (alpha) of the test was 0.025. The standard deviation of HbA1c was assumed to be 1.3 in both groups. Baseline patient characteristics according to the initiation of Gla-300 or Deg-100 were compared using the unpaired t-test or the Mann–Whitney U-test in case of normal and skewed continuous variables, respectively, and the Chi-square test or the Fisher exact test for categorical variables, as appropriate. To allow for an unbiased comparison between patients initiating Gla-300 vs. Deg-100, a propensity score (PS) matching algorithm on a one-to-one basis was applied. To compute PS, we performed a logistic regression model taking into consideration age, gender, diabetes duration, baseline HbA1c, FBG, BMI, basal insulin dose, glucose-lowering drugs other than insulin as covariates. Variables included in the logistic model were those showing a statistically significant between-group difference at baseline [25]. A five-to-one greedy matching algorithm was used to identify a unique matched control in the initial Deg-100 group for each Gla-300 patient according to the individual PS. Adequacy of balance for the covariates in the matched sample was assessed via standardized mean difference between the 2 groups, considering differences less than 10% (absolute value) as indicative of a good balance. PS matching was performed separately in the efficacy population and in the safety population. Changes in HbA1c, FBG, body weight and insulin dose were assessed using mixed models for repeated measurements. Results are expressed as estimated mean or estimated mean difference from T0 with their 95% confidence interval (95% CI). Paired and unpaired t-test derived from linear mixed models for repeated measurements were applied for within-group and between-group comparisons, respectively. As secondary outcomes, the proportions of patients with HbA1c <7.0% and HbA1c <8.0% at T0 and T6 were evaluated. Both within-group (McNemar test for change vs. baseline) and between-group (Chi-square test) statistical comparisons were applied. Incidence rates (IR) of hypoglycemic events were calculated and expressed as numbers of events per patient-month with their 95% CI. Incidence of hypoglycemic events was compared between groups using Poisson’s regression model with correction for overdispersion. The main analysis was conducted on the intention-to-treat (ITT) population, including all patients meeting eligibility criteria. The post hoc population included the subgroup of PS matched patients with a HbA1c value available at baseline and after 12 months. For the evaluation of severe hypoglycemia, the safety population was represented by the ITT post-PS matching population (data derived from EMRs). For the evaluation of glycemic values ≤70 mg/dl and <54 mg/dl, a subsample of the safety population (PS matched patients having at least 1 SMBG value available) was considered.

Results

Patient disposition and characteristics

Data were extracted from 19 centers (Fig. 1), yielding initial information from 1,166 patients (808 initiating Gla-300 and 358 initiating Deg-100), who were eligible insulin-naïve patients with first prescription of either 2BI as recorded in EMRs from January 2017 to January 2020. Centers with SMBG tests downloaded in the EMRs were 14 out of 19 (73.7%).
Fig. 1

Study flowchart

Study flowchart Before PS matching, age, gender, diabetes duration, FBG, HbA1c were balanced between groups. On the other side, patients initiating Gla-300 (N=808) differed from those initiating Deg-100 (N=358) in terms of use of secretagogues (42.6% vs. 50.0%; p=0.02), glitazones (5.9% vs. 11.2%; p=0.002) and SGLT2i (27.5% vs. 19.6%; p=0.004) (Table 1). Differences of borderline statistical significance in BMI and use of GLP1-RA were also documented.
Table 1

Baseline patients’ characteristics—pre- and post-PSM ITT population

VariablePre-PSMPost-PSM
Gla-300Deg-100p-valueGla-300Deg-100p-value
N. Group808358357357
Age (years)68.7±12.069.8±10.90.2668.7±11.769.8±10.90.32
Males (%)59.959.80.9760.859.70.76
Diabetes duration (years)13.8±11.413.5±7.40.4213.6±10.613.5±7.40.32
Weight (kg)80.8±17.982.2±17.90.2182.5±18.382.1±17.90.85
BMI (Kg/m2)29.3±5.829.9±5.60.0729.9±6.129.9±5.60.75
HbA1c (%)9.3±1.89.2±1.60.269.3±1.99.2±1.60.87
HbA1c (mmol/l)78.6±20.576.8±17.80.3477.7±21.076.9±17.80.99
Fasting blood glucose (mg/dl)210.1±70.0202.0±63.00.13212.3±74.9201.9±63.10.16
Systolic blood pressure (mmHg)135.2±19.1135.2±16.50.76135.6±19.0135.1±16.50.81
Diastolic blood pressure (mmHg)78.5±10.378.9±9.90.8378.4±9.278.9±9.90.94
Total cholesterol (mg/dl)178.8±44.7178.0±41.70.96178.7±43.0178.1±41.70.86
LDL-cholesterol (mg/dl)95.6±35.596.1±35.30.7995.5±36.996.2±35.40.74
HDL-cholesterol (mg/dl)46.7±13.546.0±12.00.8546.6±12.946.0±12.10.84
Triglycerides (mg/dl)189.8±182.0187.7±150.60.83186.9±172.8187.9±150.80.86
eGFR <60 ml/min*1.73m234.432.80.7334.132.80.81
Microalbuminuria (%)32.831.00.6831.531.00.93
Diabetes complications (%)7.26.40.646.46.41.00
Glucose-lowering therapy
Daily basal insulin dose (U)11.6±4.812.4±6.30.2111.8±5.512.5±6.30.24
No. of glucose-lowering drugs other than insulin
<218.919.00.9820.219.00.71
>=281.181.079.881.0
Metformin (%)80.079.90.9877.079.80.36
Secretagogues (%)42.650.00.0245.149.90.20
Glitazones (%)5.911.20.0029.010.90.38
Acarbose (%)4.34.70.753.14.80.25
DPPIV inhibitors (%)49.949.20.8250.449.00.71
GLP1-RAs (%)18.623.50.05422.123.50.66
SGLT2 inhibitors (%)27.519.60.00418.819.60.78

Data are means and standard deviations or frequencies and proportions. Variables included in the PSM: BMI and use of GLP1-RAs, SGLT2 inhibitors, glitazones and secretagogues.

p-values derived from unpaired t-test or the Mann–Whitney U-test in case of continuous variables and the Chi-square test or Fisher exact test for categorical variables, as appropriate. Statistically significant p-values (p<0.05) are in bold.

Baseline patients’ characteristics—pre- and post-PSM ITT population Data are means and standard deviations or frequencies and proportions. Variables included in the PSM: BMI and use of GLP1-RAs, SGLT2 inhibitors, glitazones and secretagogues. p-values derived from unpaired t-test or the Mann–Whitney U-test in case of continuous variables and the Chi-square test or Fisher exact test for categorical variables, as appropriate. Statistically significant p-values (p<0.05) are in bold. After PS matching, 357 subjects were included in each group (post-PSM ITT). The standardized differences of the variables before and after the PS matching are shown in Appendix 1. All selected variables had an absolute standardized mean difference >10% before matching and <10% after matching. The complete baseline characteristics of the ITT matched population are reported in Table 2.
Table 2

Changes in estimated mean levels of continuous endpoints during the follow-up by treatment and within-group and between-group comparisons (T3 vs. T0 and T6 vs. T0) (post-PSM ITT population)

Change inVisitGla-300Deg-100Gla-300 vs. Deg-100
Estimated mean and 95% CIEstimated mean difference from T0 and 95% CIWithin-groupp-value*Estimated mean and 95% CIEstimated mean difference from T0 and 95% CIWithin-groupp-value*Between-groups difference(estimated mean and 95% CI)Between-group p-value**
HbA1c (%)T09.25 (9.07;9.43)9.18 (9.00;9.36)
T67.55 (7.42;7.68)

− 1.70

(− 1.90;− 1.50)

<0.00017.48 (7.35;7.61)

− 1.69

(− 1.89;− 1.49)

<0.0001− 0.01 (− 0.29;0.27)0.49
FBG (mg/dl)T0212.60 (204.86;220.34)201.61 (193.73;209.49)− 
T6149.36 (144.07;154.65)

− 63.23

(− 71.95;− 54.51)

<0.0001140.47 (135.00;145.94)

− 61.14

(− 70.06;− 52.22)

<0.0001

− 2.09

(− 14.56;10.38)

0.74
Body weight (Kg)T082.55 (80.68;84.42)82.12 (80.25;83.99)
T682.28 (80.44;84.12)

− 0.26

− 0.72;0.20)

0.2782.09 (80.25;83.93)

− 0.03

(− 0.49;0.43)

0.91

− 0.23

(− 0.88;0.42)

0.48
Daily basal insulin dose (U)T011.79 (11.18;12.40)12.45 (11.84;13.06)− 
T616.25 (15.28;17.22)

4.45

(3.63;5.27)

<0.000115.99 (15.03;16.95)

3.54

(2.73;4.35)

<0.0001

0.92

(− 0.23;2.07)

0.12
Daily basal insulin dose (U/Kg)T0

0.15

(0.14;0.16)

0.16

(0.15;0.17)

T6

0.20

(0.19;0.21)

0.05

(0.04;0.06)

<0.0001

0.20

(0.19;0.21)

0.04

(0.03;0.05)

<0.0001

0.01

(–0.01;0.03)

0.06

Statistically significant p-values (p<0.05) are in bold

*Paired t-test derived from linear mixed models for repeated measurement

**Unpaired t-test derived from linear mixed models for repeated measurements

Changes in estimated mean levels of continuous endpoints during the follow-up by treatment and within-group and between-group comparisons (T3 vs. T0 and T6 vs. T0) (post-PSM ITT population) − 1.70 (− 1.90;− 1.50) − 1.69 (− 1.89;− 1.49) − 63.23 (− 71.95;− 54.51) − 61.14 (− 70.06;− 52.22) − 2.09 (− 14.56;10.38) − 0.26 − 0.72;0.20) − 0.03 (− 0.49;0.43) − 0.23 (− 0.88;0.42) 4.45 (3.63;5.27) 3.54 (2.73;4.35) 0.92 (− 0.23;2.07) 0.15 (0.14;0.16) 0.16 (0.15;0.17) 0.20 (0.19;0.21) 0.05 (0.04;0.06) 0.20 (0.19;0.21) 0.04 (0.03;0.05) 0.01 (–0.01;0.03) Statistically significant p-values (p<0.05) are in bold *Paired t-test derived from linear mixed models for repeated measurement **Unpaired t-test derived from linear mixed models for repeated measurements

Comparative effectiveness analysis

The mean follow-up time of patients was similar in the Gla-300 and Deg-100 groups (6.4±1.4 vs. 6.6±1.4 months, p=0.17), as was the mean number of visits per patient during 6 months (3.0±1.3 vs. 3.0±1.2, p=0.79). Both groups had estimated mean levels of HbA1c at baseline of about 9.2%. For Gla-300 group, a statistically significant reduction in HbA1c levels from baseline to 6 months (− 1.70%, 95% CI − 1.90; − 1.50) was documented. Similarly, for Deg-100 group, a statistically significant reduction in HbA1c levels from baseline to 6 months (− 1.69%, 95% CI − 1.89; − 1.49) was documented. No between-group difference emerged in the change from baseline in HbA1c (− 0.01%, 95% CI − 0.29; 0.27; p=0.49) (Table 2 and Fig. 2). The non-inferiority of Gla-300 vs. Deg-100 was confirmed (margin of non-inferiority of 0.30%; actual upper 95% CI at 6 months 0.27%).
Fig. 2

Changes in HbA1c estimated mean levels during the follow-up by cohort (post-PSM ITT population)

Changes in HbA1c estimated mean levels during the follow-up by cohort (post-PSM ITT population) In the Gla-300 group, the proportion of patients achieving HbA1c levels <7.0% increased from 6.2% at T0 to 29.1% at T6 (p<0.0001), whereas in Deg-100 group, it increased from 4.8% at T0 to 32.9% at T6 (p<0.0001), with no between-group difference (p=0.31) (Appendix 2). In the Gla-300 group, the proportion of patients achieving HbA1c levels <8.0% increased from 21.6% at T0 to 69.5% at T6 (p<0.0001), whereas in Deg-100 group it increased from 24.9% at T0 to 71.9% at T6 (p<0.0001), with no between-group difference (p=0.52) (Appendix 2). Results of longitudinal models relative to secondary continuous endpoints are shown in Table 2. At baseline, mean levels of FBG were 212.6 mg/dl in Gla-300 group and 201.6 mg/dl in Deg-100 group. In both groups, statistically significant reductions from baseline to 6 months were shown: − 63.23 mg/dl in Gla-300 group and − 61.14 mg/dl in Deg-100 group, with no between-group differences (p=0.74) (Table 2). Not significant changes in body weight were documented in both groups after 6 months (Table 2). Mean basal insulin dose was titrated during 6 months and statistically significant within-group increases were observed at T6 in both groups (Table 2). In the Gla-300 group, the estimated mean starting dose (T0) was 11.79 U and increased on average by +4.45 U at T6; in Deg-100 group, the estimated mean starting dose (T0) was 12.45 U and increased by +3.54 U at T6. In both groups, per-kg basal insulin dose significantly increased during the follow-up; at T6, the dose was of 0.20 U/kg in both groups. No between-group differences were found in insulin dose changes over time. At the post hoc analysis, in the subgroup of patients with a HbA1c value at 12 months (121 in Gla-300 group and 133 in Deg-100 group), a marked reduction in HbA1c mean levels was maintained in both groups; the reduction was − 1.71% in Gla-300 versus − 1.44% in Deg-100 group, although the between-group difference did not reach the statistical significance (p=0.052) (Appendix 5).

Comparative safety analysis

The safety population (i.e., ITT patients with at least 1 SMBG downloaded in the EMRs) was PS matched for the following unbalanced variables at T0: diabetes duration, HbA1c, number of glucose-lowering drugs other than insulin (<2 or >=2), use of metformin and secretagogues. Each PS matched group included 123 subjects (Appendix 3 and 4). No difference in the incidence of episodes of BG≤70 mg/dl or <54 mg/dl was present before insulin initiation in the two groups (Appendix 6). Overall, 18,353 SMBG tests were available in Gla-300 group, and 19,621 SMBG tests were available for Deg-100 group. The incidence of BG events ≤70 mg/dl and <54 mg/dl during 6-month follow-up was very low and similar in Gla-300 group and in Deg-100 group. No between-group differences emerged (Table 3).
Table 3

Incidence rate of hypoglycemic events (BG ≤70 mg/dl and <54 mg/dl) during the 6-month follow-up by treatment and between-group difference (Safety population subsample: post PSM ITT patients having at least 1 SMBG value available)

OutcomeGroupSubjectsN SMBGEventsPerson-monthsIR (95%CI)IRR (95%CI)Between-groupp-value
BG ≤70 mg/dlGla-30012318,353816150.13 (0.07;0.26)0.92 (0.36;2.38)0.87
BG ≤70 mg/dlDeg-10012319,62190631.70.14 (0.07;0.27).
BG < 54 mg/dlGla-30012318,353156150.02 (0.01;0.05)1.54 (0.45;5.30)0.49
BG < 54 mg/dlDeg-10012319,62110631.70.02 (0.01;0.04).
Incidence rate of hypoglycemic events (BG ≤70 mg/dl and <54 mg/dl) during the 6-month follow-up by treatment and between-group difference (Safety population subsample: post PSM ITT patients having at least 1 SMBG value available) No severe hypoglycemic episodes (evaluated in the safety population) were reported on EMRs in both groups.

Conclusions

In this real-world study, comparative effectiveness analyses showed that initiating Gla-300 or Deg-100 in uncontrolled insulin-naïve patients with T2D was followed by statistically significant and clinically relevant HbA1c reductions (− 1.70%) after 6 months, without significant differences between groups. In addition, after 6 months, in both groups the proportion of patients with HbA1c <7.0% increased from a small minority to almost one-third, while about 70% achieved levels <8%. Given the very high HbA1c and FBG levels at initiation of 2BI, this result can be considered clinically meaningful. In the subgroup of patients with HbA1c values available at 12 months, HbA1c reduction was sustained in the two groups and numerically greater with Gla-300. After 6 months, FBG was reduced by about 60 mg/dl in both groups and only minor changes in body weight were recorded. Insulin dose up titration was modest (+4 U/day) but statistically significant; during the first 6 months of treatment, 0.2 U/kg of basal insulin was used in both groups. Concerning safety, we found a similar profile of the two 2BIs. Indeed, incidence of hypoglycemic episodes ≤70 mg/dl and <54 mg/dl during 6 months was very low and similar in the two groups, and no severe hypoglycemic episodes were recorded on EMRs. This study adds important insights into the understanding of clinical profile of T2D patients initiating Gla-300 or Deg-100 in the real world. Before PSM, socio-demographic and clinical characteristics of patients initiating Gla-300 or Deg-100 were similar. Only small between-group differences emerged in the concomitant use of some classes of diabetes therapies (secretagogues, glitazones and SGLT2i); these differences are likely to reflect the evolving scenario of T2D pharmacotherapy when the two 2BI were made available in Italy. Our results underline the effectiveness and safety of both 2BI. Furthermore, the very high baseline HbA1c (>9.0%) and FBG (>200 mg/dl) levels at the time of insulin initiation highlight once more the well-known problem of clinical inertia [3], suggesting a late treatment intensification. After 6 months, despite relevant improvements, many patients were still above the recommended HbA1c and FBG targets in both groups. Low doses of basal insulin were adopted at 6-month follow-up of this real-world context (0.2 U/Kg) as compared to RCTs (0.3–0.8 U/Kg) [11-19], also considering that 0.2 U/kg should be the starting dose according to the Gla-300 label. However, a titration beyond 6 months from starting insulin therapy cannot be excluded in a real-life setting. Results of our study were comparable to those of RCTs including insulin-naïve T2D cohorts treated with Gla-300 or Deg-100. The EDITION 3 study [13] showed that in the Gla-300 group, HbA1c at T0 was of 8.51%, and at T6, it was reduced by 1.42%; the proportion of patients reaching HbA1c <7.0 at T6 was 43.1%. In the BEGIN Once-long [18], in the arm treated with Deg-100, HbA1c decreased from 8.2% at T0 by 1.06% after 6 months. In the first head-to-head RCT (BRIGHT) [19], HbA1c improved similarly in the two groups from 8.6 to 8.7% to 7.0% after 6 months. In the same study, comparable rates of hypoglycemia in the Gla-300 vs. Deg-100 group were documented (9.3 and 10.8 events per patient-year for hypoglycemia <=70 mg/dl and 0.6 versus 0.9 events per patient-year for hypoglycemia <54 mg/dl). A weight gain of about 2 Kg was documented in both groups. Results of our study are also comparable with those obtained in the US real-world setting among insulin-naïve patients with T2D [23]. RESTORE-2 study shows very similar results to DELIVER D naïve study [23], where HbA1c reduction was comparable in the Gla-300 and Deg-100 cohorts (− 1.67% vs. − 1.58%; p = 0.51), as was HbA1c target attainment (HbA1c <7%: 23.8% and 27.4%; p = 0.20; HbA1c <8%: 55.0% and 57.1%; p = 0.63). Furthermore, similarly low rates of hypoglycemia were reported in the two groups. In the LIGHTING study [24], data were collected from the Optum Humedica US electronic health records database. In the naïve matched cohort, a HbA1c reduction of 1.5% was detected in patients treated with Gla-300 and Deg-100. Furthermore, severe hypoglycemic event rates with Gla-300 (estimated though a predictive modeling approach) were not different from those with Deg-100, whereas predicted rates of non-severe hypoglycemia were significantly lower with Gla-300 versus all comparators (first- and second-generation basal insulins). In the CONFIRM study [22], significantly greater HbA1c reduction, larger reductions in hypoglycemia rates and lower risk of treatment discontinuation were demonstrated with Deg-100 versus Gla-300. However, these results should be interpreted with caution for at least two reasons: i) Both HbA1c and hypoglycemia were analyzed in subgroups of the PS matched cohort without any further check on between-group imbalance and ii) pattern of baseline medications and an initial daily insulin dose of 40 U are poorly consistent with the expected profile of insulin-naïve patients [23]. Furthermore, there was no match with regard to hypoglycemia rates prior to insulin initiation and there was an imbalance that could per se drive the differences of the changes in hypoglycemia rates with Deg-100 versus Glar-300 [26]. A study on T1D (RESTORE-1) based on the same methodology described here has recently been published [27]. In agreement with RESTORE-1 findings, the take-home message from our new RESTORE-2 is the confirmation of a similar effectiveness and safety of the two 2BI. Yet, the need to overcome clinical inertia is still not met. Late insulin initiation and slow titration are likely due at least in part to the fear of hypoglycemia and weight gain. From a methodological standpoint, both studies confirm the importance of the secondary use of preexisting data for clinical research purposes. In this respect, the Italian network of diabetes centers adopting the same EMRs system represents a unique opportunity to conduct large, real-world effectiveness studies. Among notable strengths of this study, we underline that this is the first RWE comparative study conducted outside the USA on the effectiveness and safety of 2BIs in T2D. Thanks to the large sample of patients with T2D routinely cared for by centers located in different areas of Italy, and the efficient use of EMR for research purposes, our data have good generalizability to the population of individuals with T2D followed under diabetologist care in Italy. The comparison of hypoglycemic episodes was based on documented events, with the caveat that only a subset of patients had their SMBG downloaded on EMRs. Indeed, the main limitation of this retrospective analysis was the lack of information on SMBG tests for a relevant proportion of patients, although the performed analysis is robust due to the large number of SMBG tests analyzed, the post-matching balance between the two groups, and the lack of difference in baseline risk of hypoglycemia. The download of SMBG values from glucose meters on EMRs was not a common practice in participating centers, suggesting the need to implement the systematic revision of SMBG data through EMRs. Furthermore, between-group comparison was at least partially limited by the modest dose titration, preventing a head-to-head comparison between the two insulins when optimally used. Nevertheless, data reflect real-life practice and the barriers to optimize insulin doses, especially when patients or diabetologists are concerned by the risk of hypoglycemia. This is a key point deserving consideration in view of the importance of bringing more patients to their HbA1c target. In conclusion, in this comparative real-world study with PS matched cohorts of adult patients with T2D, initiating Gla-300 or Deg-100 was associated with similar improvements in glycemic control both in medium and long term, without weight gain and with low rate of hypoglycemia, with no severe episodes observed during an average of 6-month follow-up. The RESTORE-2 study confirms the effectiveness and safety of Gla-300, with comparable results with respect to Deg-100.
VariableCategoryPRE-PSMPOST-PSM
Gla-300Deg-100p-valueStandardized differenceGla-300Deg-100p-valueStandardized difference
N group808358.357357.
BMI (Kg/m2)29.31 (5.79)29.89 (5.64)0.0710.002629.91 (6.05)29.86 (5.62)0.75− 0.83529
GLP1-RAs (%)No658 (81.44)274 (76.54)0.054− 12.0474278 (77.87)273 (76.47)0.66− 3.33727
Yes150 (18.56)84 (23.46).79 (22.13)84 (23.53).
SGLT2 inhibitors (%)No586 (72.52)288 (80.45)0.00418.7626290 (81.23)287 (80.39)0.78− 2.13416
Yes222 (27.48)70 (19.55).67 (18.77)70 (19.61).
Glitazones (%)No760 (94.06)318 (88.83)0.002− 18.7885325 (91.04)318 (89.08)0.38− 6.55581
Yes48 (5.94)40 (11.17).32 (8.96)39 (10.92).
Secretagogues (%)No464 (57.43)179 (50.00)0.02− 14.9341196 (54.90)179 (50.14)0.20− 9.5468
Yes344 (42.57)179 (50.00).161 (45.10)178 (49.86).

Data are means and standard deviations or frequencies and proportions.

p-values derived from unpaired t-test or the Mann–Whitney U-test in case of continuous variables and the chi-square test or Fisher exact test for categorical variables, as appropriate. Statistically significant p-values (p<0.05) are in bold. A standardized mean difference less than 10 (absolute values) indicates a good balance between groups.

VariablePRE-PSMPOST-PSM
Gla-300Deg-100p-valueGla-300Deg-100p-value
N group241129123123
Age (years)70.2 (11.0)69.6 (10.5)0.4870.0 (11.0)69.7 (10.4)0.71
Males (%)144 (59.8)78 (60.5)0.8978 (63.4)76 (61.8)0.79
Diabetes duration (years)14.21 (10.7)13.12 (7.8)0.3913.0 (8.5)13.2 (7.9)0.70
BMI (Kg/m2)29.3 (6.0)29.1 (5.0)0.8229.5 (6.2)29.2 (5.0)1.00
HbA1c (%)8.6 (1.4)8.7 (1.5)0.928.7 (1.5)8.7 (1.4)0.93
HbA1c (mmol/l)70.5 (15.4)71.6 (15.9)0.9471.4 (16.1)70.9 (14.9)0.87
Fasting blood glucose (mg/dl)182.1 (55.4)191.3 (58.1)0.21190.5 (60.9)188.2 (57.5)0.80
Systolic blood pressure (mmHg)135.2 (19.7)133.6 (15.9)0.43133.3 (18.0)133.7 (15.9)0.71
Diastolic blood pressure (mmHg)75.9 (10.0)77.6 (10.4)0.4674.7 (10.2)77.6 (10.2)0.07
Total cholesterol (mg/dl)171.7 (40.7)181.1 (43.6)0.10175.1 (44.6)179.8 (42.8)0.32
LDL-cholesterol (mg/dl)91.7 (33.5)101.6 (39.5)0.0694.8 (36.6)100.9 (39.0)0.34
HDL-cholesterol (mg/dl)47.4 (13.5)45.4 (11.0)0.3646.7 (12.6)45.4 (10.4)0.59
Triglycerides (mg/dl)157.2 (86.7)174.7 (156.3)0.77154.8 (87.5)171.0 (158.4)0.84
eGFR <60 ml/min*1.73m245 (41.3)13 (41.9)0.9518 (35.3)10 (37.0)0.89
Microalbuminuria (%)34 (31.78)18 (29.51)0.7618 (35.29)17 (29.31)0.50
Diabetes complications (%)17 (7.1)7 (5.4)0.546 (4.9)7 (5.7)0.78
Glucose-lowering therapy
Daily basal insulin dose (U)12.2 (5.9)12.6 (7.2)0.6912.6 (6.3)12.4 (6.9)0.23
No. of glucose-lowering drugs other than insulin
<232 (13.3)24 (18.6)0.1718 (14.6)20 (16.3)0.72
>=2209 (86.7)105 (81.4)105 (85.4)103 (83.7)
Metformin (%)202 (83.8)100 (77.5)0.13102 (82.9)97 (78.9)0.42
Secretagogues (%)92 (38.2)60 (46.5)0.1256 (45.5)57 (46.3)0.90
Glitazones (%)20 (8.3)12 (9.3)0.749 (7.3)12 (9.8)0.49
Acarbose (%)18 (7.5)8 (6.2)0.655 (4.1)8 (6.5)0.39
DPPIV inhibitors (%)129 (53.5)63 (48.8)0.3966 (53.7)62 (50.4)0.61
GLP1-RAs (%)60 (24.9)37 (28.7)0.4325 (20.3)36 (29.3)0.10
SGLT2 inhibitors (%)80 (33.2)21 (16.3)0.000531 (25.2)21 (17.1)0.12
Mean no. of available SMBG tests per patient in the study period (%)178.8 (446.5)158.4 (163.8)0.47149.2 (108.2)159.5 (167.4)0.92

Data are means and standard deviations or frequencies and proportions.

Variables included in the PSM: No. of glucose-lowering drugs other than insulin, diabetes duration, use of metformin and secretagogues, HbA1c.

p-values derived from unpaired t-test or the Mann-Whitney U-test in case of continuous variables and the chi-square test or two-sided Fisher exact test for categorical variables, as appropriate. Statistically significant p-values (p<0.05) are in bold.

VariableCategoryPRE-PSMPOST-PSM
Gla-300Deg-100p-valueStandardized differenceGla-300Deg-100p-valueStandardized difference
N group241129.123123.
No. of glucose-lowering drugs other than insulin (%)<232 (13.28)24 (18.60)0.173114.589918 (14.63)20 (16.26)0.72424.5004
>=2209 (86.72)105 (81.40).105 (85.37)103 (83.74).
Diabetes duration in classes (%)<=5 years37 (15.35)17 (13.18)0.1355− 6.220518 (14.63)17 (13.82)0.8504− 2.3275
6-10 years44 (18.26)29 (22.48).34 (27.64)27 (21.95).
11-20 years111 (46.06)53 (41.09).46 (37.40)52 (42.28).
>20 years46 (19.09)23 (17.83).22 (17.89)23 (18.70).
NA

3

(1.24)

7

(5.43)

.3 (2.44)4 (3.25).
Metformin (%)No39 (16.18)29 (22.48)0.136115.999521 (17.07)26 (21.14)0.417410.3539
Yes202 (83.82)100 (77.52).102 (82.93)97 (78.86).
Secretagogues (%)No149 (61.83)69 (53.49)0.1203-16.934167 (54.47)66 (53.66)0.8982− 1.6315
Yes92 (38.17)60 (46.51).56 (45.53)57 (46.34).
HbA1c in classes3.0-6.9%23 (9.54)5 (3.88)0.0095− 22.79984 (3.25)5 (4.07)0.98914.3315
7.0-8.0%63 (26.14)50 (38.76).48 (39.02)47 (38.21).
8.1-9.0%90 (37.34)34 (26.36).34 (27.64)34 (27.64).
>9.0%65 (26.97)40 (31.01).37 (30.08)37 (30.08).

Data are means and standard deviations or frequencies and proportions.

p-values derived from unpaired t-test or the Mann–Whitney U-test in case of continuous variables and the chi-square test or Fisher exact test for categorical variables, as appropriate. Statistically significant p-values (p<0.05) are in bold. A standardized mean difference less than 10 (absolute values) indicates a good balance between groups.

VisitGla-300Deg-100
Estimated mean and 95% CIEstimated mean difference from T0 and 95% CIWithin groupp-value*Estimated mean and 95% CIEstimated mean difference from T0 and 95% CIWithin groupp-value*Between-groupp-value**
T09.25 (9.07;9.43)9.18 (9.00; 9.36)
T12

7.55

(7.37;7.73)

− 1.71

(− 1.94; − 1.48)

<0.0001

7.74

(7.56;7.92)

− 1.44

(− 1.67; − 1.21)

<0.00010.052

* Estimates and Paired t-test derived from linear mixed models for repeated measurements.

**One side Paired t-test derived from linear mixed models for repeated measurements.

Statistically significant p-values (p<0.05) are in bold.

EndpointGroupSubjectsNo. SMBGtestsEventsPerson-monthsIR (95%CIs)IRR (95% CIs)Between-groupp-value
BG ≤70 mg/dlGla-3001234,78114274.70.05 (0.02;0.14)0.55 (0.16;1.88)0.34
Deg-1001236,367242590.09 (0.04;0.20)
BG <54 mg/dlGla-3001234,7814274.70.01 (0.00;0.06)0.42 (0.07;2.36)0.32
Deg-1001236,36792590.03 (0.01;0.09).

p-values derived from Poisson regression models with correction for overdispersion. IR=incidence rate (number of events per person-months); IRR=incidence rate ratio; 95%CI=95% Confidence Intervals

  26 in total

1.  New insulin glargine 300 Units · mL-1 provides a more even activity profile and prolonged glycemic control at steady state compared with insulin glargine 100 Units · mL-1.

Authors:  Reinhard H A Becker; Raphael Dahmen; Karin Bergmann; Anne Lehmann; Thomas Jax; Tim Heise
Journal:  Diabetes Care       Date:  2014-08-22       Impact factor: 19.112

2.  2019 update to: Management of hyperglycaemia 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:  John B Buse; Deborah J Wexler; Apostolos Tsapas; Peter Rossing; Geltrude Mingrone; Chantal Mathieu; David A D'Alessio; Melanie J Davies
Journal:  Diabetologia       Date:  2020-02       Impact factor: 10.122

Review 3.  The burden of type 2 diabetes in Europe: Current and future aspects of insulin treatment from patient and healthcare spending perspectives.

Authors:  Antonio Ceriello; Harold W deValk; Bruno Guerci; Thomas Haak; David Owens; Michela Canobbio; Katharina Fritzen; Constantin Stautner; Oliver Schnell
Journal:  Diabetes Res Clin Pract       Date:  2020-02-05       Impact factor: 5.602

4.  Comparative Benefits and Harms of Basal Insulin Analogues for Type 2 Diabetes: A Systematic Review and Network Meta-analysis.

Authors:  Anastasia-Vasiliki Madenidou; Paschalis Paschos; Thomas Karagiannis; Anastasia Katsoula; Eleni Athanasiadou; Konstantinos Kitsios; Eleni Bekiari; David R Matthews; Apostolos Tsapas
Journal:  Ann Intern Med       Date:  2018-07-10       Impact factor: 25.391

5.  New Insulin Glargine 300 Units/mL Versus Glargine 100 Units/mL in People With Type 1 Diabetes: A Randomized, Phase 3a, Open-Label Clinical Trial (EDITION 4).

Authors:  Philip D Home; Richard M Bergenstal; Geremia B Bolli; Monika Ziemen; Maria Rojeski; Melanie Espinasse; Matthew C Riddle
Journal:  Diabetes Care       Date:  2015-06-17       Impact factor: 19.112

6.  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

Review 7.  Clinical inertia is the enemy of therapeutic success in the management of diabetes and its complications: a narrative literature review.

Authors:  F Andreozzi; R Candido; S Corrao; R Fornengo; A Giancaterini; P Ponzani; M C Ponziani; F Tuccinardi; D Mannino
Journal:  Diabetol Metab Syndr       Date:  2020-06-17       Impact factor: 3.320

8.  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

9.  Risk of hypoglycaemia with insulin degludec versus insulin glargine U300 in insulin-treated patients with type 2 diabetes: the randomised, head-to-head CONCLUDE trial.

Authors:  Athena Philis-Tsimikas; David C Klonoff; Kamlesh Khunti; Harpreet S Bajaj; Lawrence A Leiter; Melissa V Hansen; Lone N Troelsen; Steen Ladelund; Simon Heller; Thomas R Pieber
Journal:  Diabetologia       Date:  2020-01-27       Impact factor: 10.122

10.  Balance diagnostics for comparing the distribution of baseline covariates between treatment groups in propensity-score matched samples.

Authors:  Peter C Austin
Journal:  Stat Med       Date:  2009-11-10       Impact factor: 2.373

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