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A Difference Between Bedtime and Pre-Breakfast Plasma Glucose Levels Indicates the Need for Prandial Insulin in Basal Insulin-Treated Type 2 Diabetic Patients with Normal Fasting Glucose

Authors Kress S, Borck A, Zisman A, Bramlage P, Siegmund T

Received 24 November 2020

Accepted for publication 4 March 2021

Published 18 March 2021 Volume 2021:14 Pages 1215—1222


Checked for plagiarism Yes

Review by Single anonymous peer review

Peer reviewer comments 2

Editor who approved publication: Dr Antonio Brunetti

Stephan Kress,1 Anja Borck,2 Ariel Zisman,3 Peter Bramlage,4,5 Thorsten Siegmund6

1Diabeteszentrum, Vinzentius-Krankenhaus, Landau, Germany; 2Medical Department, Sanofi, Berlin, Germany; 3The Endocrine Center of Aventura, Aventura, FL, USA; 4Institute for Pharmacology and Preventive Medicine, Cloppenburg, Germany; 5Department for Angiology, Brandenburg Medical School, Campus Brandenburg/Havel, Brandenburg, Germany; 6Diabetes- Hormon- Und Stoffwechselzentrum Am Isar Klinikum München, München, Germany

Correspondence: Stephan Kress
Diabeteszentrum, Vinzentius Krankenhaus, Cornichonstr. 4, Landau, 76829, Germany
Tel +49 6341 172208
Email [email protected]

Aim: In the present analysis, we characterised the efficacy and safety of adding a single daily injection of insulin glulisine to optimised basal-supported oral therapy (BOT) in patients with a high BeAM value, defined as a more than 50 mg/dl difference between bedtime and pre-breakfast blood glucose.
Methods: The BeAM value was retrospectively calculated for patients pooled from two clinical trials that supplemented BOT with glulisine. Data regarding changes in HbA1c, fasting plasma glucose (FPG), and postprandial glucose (PPG) levels from observation periods of 3 to 6 months were assessed.
Results: Out of 358 patients that received BOT/glulisine, 182 had a high BeAM value. Patients with a high BeAM value were older and had a longer diabetes duration than patients with a medium BeAM value. Significant reductions in HbA1c (7.5% to 7.2% [59 to 55 mmol/mol], p< 0.0001) and PPG (202 to 143 mg/dl, p< 0.0001) levels were documented. The proportion of patients with a high BeAM value achieving an HbA1c < 7% [53 mmol/mol], alone or in combination with no hypoglycaemia, was lower than that of patients with a medium BeAM value.
Conclusion: The analysis indicates that the supplementation of BOT with a single daily injection of prandial insulin is safe and effective for reducing HbA1c and PPG levels in patients with a high BeAM value (more than 50 mg/dl). However, patients with a medium BeAM value also responded well, which suggests that they should also be considered candidates for this change in therapy.

Keywords: basal-plus, prandial insulin, type-2 diabetes, glulisine, glargine


Type-2 diabetes is a progressive disease, with β-cell function and insulin sensitivity decreasing over time.1 As a result, anti-diabetic treatment needs to be gradually intensified in order to maintain glycaemic control.2 Oral monotherapy with metformin is usually the first line of treatment after diagnosis followed by oral combination therapy. Eventually, insulin will be necessary if sufficiently low blood glucose levels are to be achieved and maintained.3 The addition of long-acting insulin glargine to the oral treatment is a well-established method of intensifying diabetes treatment (basal-supported oral therapy; BOT).

While this approach has been shown to effectively reduce blood glucose levels, postprandial hyperglycaemia can still be a problem in some patients, even those who have achieved significant reductions in HbA1c levels.4–6 It is essential that such excursions are controlled, as they are associated with increased cardiovascular risk.7–9 One approach to overcoming this problem is the use of an injection of a short-acting insulin such as glulisine just prior to the meal with the highest glycaemic impact (basal-plus strategy).10,11 This has been shown to effectively improve glycaemic control.12–15 However, it is not always clear at what point continued titration of basal insulin stops being beneficial, and prandial insulin supplementation becomes necessary. Therefore, a simple evidence-based method to determine the requirement for prandial insulin supplementation is required.

A straightforward method that provides such criteria has been developed recently.16,17 The BeAM value is a factor that is calculated by subtracting a patient´s morning (AM) blood glucose level from the one measured at bedtime (Be) the previous night. BeAM was analysed and explored in 1401 patients with type 2 diabetes mellitus; the BeAM categories <0, 0 to 50 and >50 mg/dl corresponded to almost equal proportion of the patients (33.1%, 36.8% and 30.0%, respectively).16 A high BeAM value (>50 mg/dl) is indicative of postprandial glucose (PPG) excursions during the day giving a large bedtime value, in addition to well-controlled fasting blood glucose (FBG) giving a low morning measurement. Therefore, a high BeAM value suggests the need for prandial insulin supplementation.

In the present study, we retrospectively assessed a population of type 2 diabetes patients with a high BeAM value who were being BOT treated, and evaluated the efficacy and safety of adding a single daily injection of prandial insulin to their treatment regimen.

Materials and Methods

Study Design and Patients

The present study is a retrospective analysis of anonymized data collected in two randomised, multi-centre clinical trials, the Orals Plus Apidra and Lantus (OPAL) study and the Proof-of-Concept (POC) study.13,14 Data on the value of a negative BeAM value have been published previously.16 The study required no ethical approval as it was based on already collected, anonymized data.

In short, data from a total of 358 patients with type-2 diabetes who were being treated with insulin glargine, with the subsequent addition of a single pre-meal injection of insulin glulisine at baseline, were included. The BeAM value was calculated for each patient (bedtime blood glucose minus pre-breakfast blood glucose), and patients with a high BeAM value (>50 mg/dl) were compared to those with a BeAM value between 0 and 50 mg/dl.

Inclusion and exclusion criteria for the two trials are detailed elsewhere.13,14 Briefly, in the POC trial, the dose of insulin glargine was optimised via titration against FBG over a period of 3 months to achieve a target value of ≤100 mg/dl at baseline. Insulin glulisine was added prior to the main meal (10 breakfast, 14 lunch, 25 dinner).13 In the OPAL trial, 162 patients received their insulin glulisine at breakfast (Group 1), and 154 at the main meal (Group 2; no additional information on which meal was considered to be the “main meal” was provided).14 During the screening period, the main mealtime was individually determined by recording the median of mealtime-specific 2-h postprandial (2h-pp) BG values after breakfast (between 06:00 and 09:00 hours), lunch (between 11:00 and 14:00 hours) and dinner (between 18:00 and 21:00 hours) on three different days. The main mealtime was defined as the maximum of the three medians. While there was no specific optimisation, patients were excluded if they recorded more than two FBG readings of >120 mg/dl in the five consecutive days before baseline. The purpose of the POC and OPAL trials was to intensify treatment using insulin glulisine were to improve glucose control with respect to the 2h-pp BG values (OPAL: ≤7.5 mmol/l), the FBG (POC and OPAL: ≤5.5 mmol/l.

For the BeAM analysis specifically, patients were required to have HbA1c measurements at the start and end of the trial in order to be included. Any patients with an HbA1c value ≤7% [53 mmol/mol] after insulin glargine optimisation were excluded. During the trial periods, insulin glulisine was titrated to give a 2-h PPG level of ≤135 mg/dl or a pre-meal blood glucose level of 100–120 mg/dl (POC trial only).


Baseline patient characteristics including age, gender, weight, body mass index (BMI), diabetes history, diabetes treatment history, HbA1c level, FBG level, PPG level, and dosage of both insulin glargine and insulin glulisine were pooled for analysis. A mean 7-point daytime blood glucose profile (before and 2 h after each meal) was constructed by combining those recorded just prior to the baseline of the two trials. Patient characteristics recorded at the end of the study periods were compared to those recorded at baseline.

Any hypoglycaemic events that occurred during the trial periods were classified as symptomatic, severe, or nocturnal. Symptomatic hypoglycaemia was defined as blood glucose <60 mg/dl with symptoms, while severe hypoglycaemia was defined as blood glucose <36 mg/dl. These definitions were chosen based on the research protocols of the two underlying trials rather than on more recent recommendations.

Study Endpoints

The primary objectives of the analysis were to determine the efficacy and safety of adding prandial insulin to BOT in patients with a high BeAM value. This included evaluation of changes in HbA1c, PPG, FPG, weight, and BMI, in addition to the occurrence of hypoglycaemia, after the addition of insulin glulisine. Further composite endpoints were also assessed, defined as 1) HbA1c <7% [53 mmol/mol], 2) HbA1c <7% [53 mmol/mol] and no symptomatic hypoglycaemia, 3) HbA1c <7% [53 mmol/mol] and no severe hypoglycaemia, 4) HbA1c <7% [53 mmol/mol] and no weight gain, 5) HbA1c <7% [53 mmol/mol] and no symptomatic hypoglycaemia and no weight gain, 6) HbA1c <7% [53 mmol/mol] and no severe hypoglycaemia and no weight gain.

Statistical Analysis

Descriptive statistics were used to describe patient demographics and clinical characteristics. The count and associated percentage of the total were reported for all categorical variables. The mean and standard deviation (SD) are reported for continuous variables. Descriptive statistics were also used to measure and describe the efficacy and safety outcome measurements. Association of BeAM value with the incidence of hypoglycaemia and composite endpoints were evaluated using logistic regression analyses. Odds ratio (OR) estimates, Wald 95% confidence intervals, and p-values derived from maximum likelihood estimates are reported. All statistical analyses were carried out using the SAS® 9.3 software.


Patient Characteristics

Of the 358 patients included in the analysis, 182 had a high BeAM value (>50 mg/dl) and 145 were calculated to have a medium BeAM value (0–50 mg/dl). The high BeAM value group was slightly older (63.9 vs 61.9 years), had a lower mean BMI (30.7 vs 32.3 kg/m2) and a longer diabetes duration (11.5 vs 9.8 years) than patients with a medium BeAM (Table 1). Accordingly, the high BeAM group had been treated with both oral antidiabetic drugs and insulin for a longer duration than the medium group. In terms of blood glucose levels, the high BeAM group had a slightly lower mean FBG level (105.6 vs 108.3 mg/dl), slightly higher mean HbA1c (7.5 vs 7.3% [59 vs 57 mmol/mol]), and a significantly higher mean PPG (201.8 vs 172.9 mg/dl).

Table 1 Patient Characteristics at Baseline

Mean 7-point blood glucose profiles constructed from those measured just prior to the baseline of the two trials are shown in Figure 1. It is evident that the high BeAM value group experienced a steeper rise in blood glucose after each of the three meals of the day. This resulted in a significantly higher reading at bedtime (199.9 vs 138.3 mg/dl for the high and medium groups, respectively).

Figure 1 Variation in daytime blood glucose level at baseline.

Note: Blood glucose measurements were taken before and 2 h after each meal.

Changes in Patient Characteristics During the Study Period

A significant decrease in HbA1c was documented for the patients in both groups (p<0.0001) (Table 2). PPG levels also decreased, with a more substantial reduction evident for the high BeAM group. FBG levels increased in both sets of patients (p<0.0001 and p=0.0031, respectively).

Table 2 Change in Blood Glucose Related Characteristics During the Study Period

The dosage of insulin glargine increased during the study period for both the high (37.8 to 44.7 units; p<0.0001; ∆ +6.9 units) and the medium (35.7 to 42.2 units; p<0.0001; ∆ +6.5 units) BeAM value groups. Titration of insulin glulisine during the study resulted in a mean increase in the high group from 5.1 to 12.3 units (∆ +7.3 units) and in the medium group from 4.9 to 11.2 units (∆ +6.3 units). The high BeAM value group experienced an increase in BMI during the study period, while that of the medium group remained relatively constant.

Endpoint Achievement

Incidence rates of confirmed symptomatic, nocturnal, and confirmed severe hypoglycaemia were slightly higher for patients with a high BeAM value in comparison to those with a medium value (Table 3). The proportion of patients achieving an HbA1c level below the target of 7% [53 mmol/mol], on the other hand, was lower for the high BeAM group in comparison to the medium group (39.0 vs 62.8%, respectively; Table 3). This trend was also evident for each of the composite endpoints, although for those including no weight gain, this was less distinct. Accordingly, a high BeAM value was found to be a predictor for a lower achievement rate for the composite endpoints of HbA1c <7% [53 mmol/mol], and HbA1c <7% [53 mmol/mol] plus no incidence of confirmed symptomatic hypoglycaemia, with ORs suggesting that patients with a medium BeAM value were more likely to achieve these endpoints (OR, 1.842; 95% CI, 1.071–3.170; and OR, 1.845; 95% CI, 1.081–3.148; Table 4). The BeAM value appeared not to be an indicator for the achievement of endpoints that included no weight gain.

Table 3 Incidence of Hypoglycaemiaa and Frequency of Composite Endpoints Achievement

Table 4 Endpoint Predictors for Medium vs High BeAM Value Groups


BOT-treated patients who had undergone basal insulin optimisation were assigned a BeAM value calculated from two self-measured blood glucose readings, one at bedtime and the other prior to breakfast the next day. The role of a negative BeAM value has been discussed extensively and, in these patients, supplementation of BOT with prandial insulin is not beneficial. Patients with negative BeAM values are typically younger, had a shorter duration of diabetes and lower HbA1c levels.17 A high BeAM value is indicative of a large bedtime blood glucose level caused by postprandial hyperglycaemia accumulating during the day. It is a sign that while the administered basal insulin is sufficient for maintaining FBG levels, diabetes has progressed to an extent that PPG cannot be controlled via this treatment alone. The addition of an injection of prandial insulin prior to meals provides an insulin release profile that is relatively physiological.18 Furthermore, as the greatest contribution to daytime hyperglycaemia is usually the largest meal, the addition of a single injection of prandial insulin prior to the meal with the highest glycaemic impact is often sufficient to achieve adequate blood glucose control.13,14,19 With this in mind, we would suggest a stepwise increase in the utility of the BeAM from low (no indication for insulin glulisine), to medium (insulin glulisine may or may not be a reasonable addition) to high (insulin glulisine is a good treatment strategy).

One of the biggest challenges with studies such as this is determining which is the patient’s largest/main meal – is it breakfast, lunch or evening meal? Even in the two studies used in this analysis, there were variations in the largest meal. In the POC study, the main meal was breakfast for 10 patients, lunch for 14 patients and dinner for 25 patients.14 Conversely, in the OPAL trial, 162 patients received their insulin glulisine at breakfast (Group 1), and 154 at the main meal (Group 2).13 In an ideal scenario, patients would consume their main meal at the same time of day to allow for a more standardised treatment approach, but this is unrealistic. The data provided in this study, however, provide information on the effectiveness of a single daily injection of insulin glulisine after the main meal, irrespective of its timing.

At baseline in the two trials that provided the data for the BeAM study, patients were initiated on the basal-plus strategy using insulin glulisine. For the present analysis, information acquired over a 3- to 6-month observation period was collected for patients with a retrospectively calculated high or medium BeAM value. Patients with high BeAM values were slightly older and had longer diabetes duration, which is consistent with their disease having progressed further than that of the medium BeAM patients. Accordingly, their PPG levels were higher, demonstrating that the basal insulin was not as effective in controlling glucose levels after meals. As expected, PPG levels decreased greatly as a result of the addition of the prandial insulin to the BOT. Though this trend was evident for both groups, a greater reduction was observed in patients in the high BeAM group compared to those in the medium group; demonstrating the particular efficacy of the basal plus approach for the former patients.

HbA1c levels were reduced in both the high and medium BeAM value groups, with no apparent difference between groups in terms of magnitude. A higher proportion of patients with a medium BeAM value achieved an HbA1c level below 7% [53 mmol/mol] at the end of the observation periods, which is unsurprising considering that patients of this group were closer to the target value when HbA1c levels were documented at baseline. On the other hand, mean FBG levels increased slightly for both groups, with a statistically significant rise for patients with a high BeAM value. This may be due to sub-optimal insulin glargine dosages due to more moderate titration of the drug after the addition of insulin glulisine to the treatment regimen. Indeed, increases in insulin glargine dosage during the observation periods were fairly low. This indicates that while the supplementation of BOT with prandial insulin is efficient for reducing PPG and HbA1c levels, further increases in basal insulin should not be overlooked.

Over the course of the study, the insulin glargine dose increased in patients with both a high BeAM value (+6.9 units) and a medium BeAM value (+6.5 units). Absolute doses were slightly higher in patients with a high BeAM at both baseline and the follow-up. Increasing the basal insulin dose contributes to improving the general glucose control, such as the HbA1c. Furthermore, the BeAM value focuses on patients that may have appropriate HbA1c values but still experience postprandial hyperglycaemia. As insulin glargine doses were increased to a similar extent in both groups, a bias arising from this for the interpretation of the BeAM value is not expected.

Hypoglycaemic events were slightly more common in the high BeAM group than in the medium group during the study periods. However, less than 2% of patients experienced a severe episode. This indicates that the addition of the prandial insulin to the BOT was relatively safe, with rates of symptomatic hypoglycaemia similar to those reported for patients receiving BOT in other studies.20–23 While decreases in HbA1c levels were found for both BeAM groups over time, a higher proportion of medium BeAM patients achieved the target HbA1c endpoint (<7% [53 mmol/mol]). Concurrently, multivariate analysis showed a high BeAM value to be associated with a lower probability of patients achieving this endpoint. Similarly, meeting the composite endpoint of HbA1c <7% [53 mmol/mol] and no hypoglycaemia was also found to be less likely for patients with a high BeAM value. The achievement of composite endpoints which included no weight gain as a criterion differed less between the two groups, though the achievement rate was again higher in the patients with a medium BeAM value.

There are a number of limitations to the present study. Firstly, as the data were pooled from two independent trials, there are significant differences in the protocols. The most notable of these is that only the POC trial included a run-in period where the basal insulin was optimised.14 Furthermore, the period between baseline and endpoint was a lot shorter in the POC trial (3 months in comparison to 6 months for the OPAL trial).13,14 These relatively short data collection periods raise the question of whether the dosages of insulin glargine and insulin glulisine were fully optimised by study completion, and whether the maximal therapeutic effects had been achieved at this point. A longer observation period may have demonstrated more significant differences in blood glucose level changes and rates of hypoglycaemia, and future studies should be carried out to investigate this hypothesis. Ideally, this study would have used a control group. Unfortunately, however, there was only a small number of patients in the POC study who did not receive glulisine, which leaves insufficient numbers of patients for reasonable analyses in comparison to the other groups. Although BeAM provides valuable data for this study, continuous glucose monitoring would be the ideal modality to assess the effect of adding insulin glulisine. Finally, the retrospective nature of this study is a limitation but is sufficient for the proof-of-concept study presented here. Prospective determination of the BeAM value and its consideration for treatment warrant further investigation.


The data indicate that insulin glulisine supplementation of BOT is safe and effective for lowering HbA1c and PPG levels in patients with a high BeAM value. However, patients with a medium value also responded well to the treatment change, with a significantly higher proportion achieving the composite endpoints described here. This suggests that the addition of prandial insulin to BOT should be considered not only for patients with a high BeAM value but also for those with a more moderate value. The BeAM value is an easy-to-determine marker for the utility of short-acting insulin and, therefore, should be determined in all patients. Furthermore, the data demonstrate the importance of continual optimisation of basal insulin after the addition of prandial insulin supplementation.


The reported analysis was funded by Sanofi and carried out by Novosys Health. The editorial support provided by IPPMed, Cloppenburg, Germany was funded by Sanofi and is acknowledged. The data have been presented in parts as a poster presentation at:

  1. Austrian Society of Diabetes Congress 2015 (43. Jahrestagung der Österreichischen Diabetes Gesellschaft); Wiener Klinische Wochenschrift 2015: 127; 131–162
  2. Germany Society of Diabetes Congress 2015 (P302); Diabetologie und Stoffwechsel 2015; 10-P302
  3. American Diabetes Associations 2015 (Poster 1036-P)

Author Contributions

All authors made substantial contributions to conception and design, acquisition of data, or analysis and interpretation of data; took part in drafting the article or revising it critically for important intellectual content; agreed to submit to the current journal; gave final approval of the version to be published; and agree to be accountable for all aspects of the work.


Stephan Kress (SK), Ariel Zisman (AZ), Peter Bramlage (PB) and Thorsten Siegmund (TS) declare to have received research funding and/or consultancy fees from Sanofi. TS is the part of the speaker bureau for Abbott, Ascensia, Astra Zeneca, Boehringer Ingelheim, Dexcom, Eli Lilly, Medtronic, Roche, Novo Nordisk, Sanofi, and MSD; advisory board for Abbott, Ascensia, Astra Zeneca, Boehringer Ingelheim, Eli Lilly, Medtronic, Roche, Novo Nordisk, Sanofi, outside the submitted work. Anja Borck (AB) is an employee of Sanofi. The authors report no other conflicts of interest in this work.


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