Non-severe hypoglycemia in type 1 diabetes: a randomized crossover trial comparing two quantities of oral carbohydrates at different insulin-induced hypoglycemia ranges

Introduction

People living with type 1 diabetes (PWT1D) are faced with increased risks of hypoglycemia and its negative impacts when trying to achieve optimal glucose management (1, 2). Diabetes societies classify hypoglycemia as severe when another person must assist to treat it or non-severe when the patient can self-manage it. Recent studies using glucose sensors reported 1.5 h/day spent in hypoglycemia and 0.76 daily treated non-severe hypoglycemic (NS-H) episodes (3, 4). It is essential to optimize NS-H treatment to bring blood glucose to safe levels in a fast and efficient manner without causing rebound hyperglycemia. NS-H treatment guidelines stem from old clinical studies and expert opinions and have remained unchanged for decades. They recommend a one-size-fits-all approach of consuming 15–20 g of simple CHO every 15 min until correction (15 g/15 min rule) (1, 57). Same recommendations apply regardless of many factors potentially influencing the response to treatment such as glucose levels during treatment, estimated level of hyper-insulinemia, modality of insulin therapy, body weight, and activity level (8).

Recent studies and review reports have questioned the 15 g/15 min rule and have required extensive research studies to investigate the most efficient treatment strategies according to different NS-H settings and conditions (8). The aim would be to fine-tune NS-H treatment guidelines for PWT1D (4, 810). An observational study, in free-living conditions, of PWT1D’s practices showed a mean initial intake of 32 ± 24 g CHO to correct NS-H episodes (4). According to the current guidelines, this translates into 73% of participants overtreating their NS-H episodes (more than 20 g within the first 15 min) (4). However, this practice could equally reflect the inefficiency of the current guidelines to meet PWT1D’s needs in treating their NS-H (8, 9).

Thus, we hypothesized that a higher initial CHO consumption than the recommended 15–20 g might be more effective in correcting NS-H and reduce the need to repeated treatments. We aimed to test this approach at two hypoglycemia ranges.

MethodologyStudy design

This is an open-label, randomized, four-way, crossover study investigating 16 g vs. 32 g of CHO to correct insulin-induced NS-H at two hypoglycemia ranges, 3.0–3.5 mmol/L and <3.0 mmol/L, in PWT1D.

Study subjects

Eligible subjects were adults (≥18 years of old) with a clinical diagnosis of T1D for at least 1 year, treated with either multiple daily insulin injections (MDI) or continuous subcutaneous insulin injection (CSII) and a glycated hemoglobin HbA1c ≤ 89 mmol/mol (≤10%). Exclusion criteria included clinically significant microvascular complications, recent (<3 months) acute macrovascular event, significant cardiac rhythm abnormality, abnormal blood panel and/or anemia (hemoglobin < 100 g/L), ongoing pregnancy or breastfeeding, severe hypoglycemic episodes within 1 month of screening, or additional health problems that could affect the participation to the study as per medical assessment of the recruiting physician.

The ethics committee at Montreal Clinical Research Institute approved the study that was conducted according to the Declaration of Helsinki. All participants provided written informed consent. Subjects were recruited at the Montreal Clinical Research Institute (IRCM) through the T1D clinic and from a pool of participants who had participated in previous study protocols. The study followed a block balanced randomization and envelopes were not opened until a participant had met the inclusion criteria and signed the informed consent.

Study procedures

Participants installed a glucose sensor (Dexcom G4 or G5 Platinum, Dexcom, USA) 24–48 h before study visits and installation training was offered for those unfamiliar with the technology. At least 6-day intervals separated study visits. The day before each study visit, participants had to refrain from exercise and alcohol consumption and reduced their nighttime basal insulin by 10% to minimize nocturnal hypoglycemia risks. Upon arrival to the testing centre, Dexcom data were uploaded and verified. A test was reported in the case of nocturnal hypoglycemia (two separate periods of 20 min or one single period exceeding 40 min with glucose levels < 3.5 mmol/L). At 7:30 a.m., participants had subcutaneous rapid insulin analog injection according to body weight and starting glucose level to induce hypoglycemia. Insulin doses were 0.13 U/kg for plasma glucose (PG) 10.0–15.0 mmol/L, 0.10 U/kg for PG 7.0–9.9 mmol/L, and 0.08 U/kg for PG 4.0–6.9 mmol/L. Intravenous catheters were installed to collect venous blood samples every 15 min for PG above 5 mmol/L, every 10 min for PG above 4 mmol/L, and then every 5 min until hypoglycemia threshold. Then, ® glucose tablets for 16 g or 32 g were consumed and PG-T0 was defined as time 0 post-initial CHO consumption. Blood samples were later collected at 5, 10, 15, 20, 30, 45, and 60 min. Participants consumed a second treatment with 16 g of CHO at 15 min if PG-T15 was < 3.0 mmol/L and at 45 min if PG-T45 was < 4.0 mmol/L.

All blood samples were centrifuged immediately, and PG was measured using YSI 2300 STAT Plus analyzer (Yellow Springs, OH, USA). Plasma samples were stored at −80°C until subsequent measurement of insulin and glucagon using respective immunological assays (Millipore, Billerica, MA, USA).

Statistical analysis

We conducted analyses separately for each hypoglycemia range to compare the effect of initial treatment of NS-H with 16 g vs. 32 g CHO. The primary outcome was the change in PG at 15 min (Delta-PG-15) after CHO consumption. Secondary outcomes are listed in the Results section. We assumed that a Delta-PG-15 after hypoglycemia treatment with 16 g of CHO would be 0.82 ± 1.4 mmol/L and a difference between 16 g of CHO vs. 32 g of CHO would be 1.1 mmol/L higher with 32 g (11, 12). Under these assumptions, using a corrected type I error of 0.025 (0.05/2), the sample size was 29 participants for a power of 80%. To account for potential 10% dropout rates, we calculated that 32 participants should be recruited in total. Calculations were done using SAS 9.4 power procedure for paired design. We applied a linear mixed effect model (LMEM) with Gaussian family and identified link function, with the intervention, treatment sequence, period, and PG-T0 entered as fixed effect covariates and subject nested within sequence as a random effect covariate. The model was suited for repeated observations, i.e., adjustments for patient-level intra-correlation. Since time variables have positive values that are often not normally distributed, we used non-parametric bootstrap procedures to estimate parameters and their 95% confidence interval when applicable.

Finally, all hypoglycemic event data (n = 122) were pooled for secondary analysis of Delta-PG-15-min. Linear regression models were built with the following variables: initial CHO consumption, sex, diabetes duration, body mass index, PG-T0, rate of change of PG, rate of change of insulin, and rate of change of glucagon with adjustment for within-subject correlation. The final model was selected based on the best fit considering Akaike information criteria, Bayesian information criteria, R-squared, mean standard error, intra-class correlation coefficient, and dispersion parameter sigma calculations. We used R software version 3.1.2 and SAS 9.4 for all data analysis. A p-value < 0.05 was considered statistically significant.

Results

Participants included in the analysis (n = 32, 56% female participants and 56% insulin pump users) were on average (SD) 46.1 (17.1) years old with an HbA1c of 54 (6.8) mmol/mol [7.1 (0.9)%], a diabetes duration of 27.5 (13) years, a body mass index of 25.7 (3.4) kg/m2, and a daily insulin dose of 0.5 (0.2) U/kg/day (Table 1). All 32 participants completed the two arm trials of 16 g vs. 32 g of CHO at the range of 3–3.5 mmol/L; 29 of the participants also completed them at PG < 3 mmol/L. Recruitment details are in a study flowchart (Figure 1).

www.frontiersin.org

Table 1 Baseline characteristics of the participants.

www.frontiersin.org

Figure 1 Trial flowchart.

Plasma glucose profiling for each of the four trial arms is shown in Figure 2. Mean PG at 60 min before hypoglycemia treatment shows inter-individual variability as reflected by wide SDs. The variability was brought to minimum upon reaching the target hypoglycemia ranges. Thereafter, the variability widened again in the next 60 min post-treatment, reflecting differences in inter-individual responses to CHO consumption.

www.frontiersin.org

Figure 2 Plasma glucose profiles starting at 60 min before hypoglycemia treatment level was reached until 60 min after CHO consumption for the four trial arms.

We report the comparison of 16 g vs. 32 g of CHO for the PG range 3.0–3.5 mmol/L in 32 participants. Delta-PG-15-min reached 0.1 (0.8) mmol/L vs. 0.6 (0.9) mmol/L, p = 0.02. A second treatment was needed for 50% vs. 15% of subjects, p = 0.001. There were 0 vs. 4 events with PG >10 mmol/L at any time in the 60 min following correction (maximum reached PG level was 11.8 mmol/L) (Table 2).

www.frontiersin.org

Table 2 Outcomes of hypoglycemia treatment with 16 vs. 32 g oral CHO.

We compare the consumption of 16 g vs. 32 g CHO intake for PG range < 3 mmol/L in 29 participants. Delta-PG-15-min reached 0.8 (0.9) mmol/L vs. 0.8 (1.0) mmol/L, p = 1.0; 45% vs. 34% of subjects needed a second treatment, p = 0.37. There were 0 vs. 2 events with PG >10 mmol/L at any time in the 60 min following correction (maximum PG level was 11.0 mmol/L) (Table 2).

At both hypoglycemia ranges, insulin boluses per kg of body weight used to induce hypoglycemia and plasma insulin and glucagon levels upon reaching hypoglycemia thresholds were comparable between arms (Table 1). No severe hypoglycemia or neuro-glycopenic adverse events were recorded at any intervention.

According to the best-fit regression model built for pooled data, significant predictors (β estimate; 95% CI, p-value) of delta-PG-15-min included initial CHO consumption (0.02; 0.002 to 0.03; p = 0.03), PG-T0 (−0.70; −1.1 to −0.2; p < 0.01), and rate of PG decrease (9.7; 0.6 to 17.5; p = 0.03). A trend was noted for rates of insulin increase (−0.9; −1.7 to 0.06; p = 0.05). No statistically significant effects were observed for sex, diabetes duration, and BMI.

Discussion

For insulin-induced NS-H, an initial CHO intake of 32 g compared to 16 g of CHO at the 3.0–3.5 mmol/L hypoglycemic range showed some benefits. This resonates with real-life practices of PWT1D who consumed averages of 32 g of CHO (4). There was less time in hypoglycemia (8 min less) and reduced need to repeat treatment (one-fifth vs. one-half of subjects). Below the 3 mmol/L threshold, a clear advantage was not maintained with higher initial CHO consumption. Although one-third vs. one-half of the participants needed a second treatment, this observation was not statistically significant. Overall, our data confirm the difficulty of treating insulin-induced NS-H for PWT1D.

In our study, an increase in PG at 15 min post-treatment with 16 g of CHO was similar to that reported by a recent study (0.85 mmol/L) (9). However, this is lower than reported in older studies referred to in current guidelines. PG levels rose by 1.1 to 1.8 mmol/L with similar oral CHO during intravenously induced NS-H experiments in older trials (6, 7). Differences in type and mode of insulin administration for hypoglycemia induction could explain these differences. Older studies induced hypoglycemia with intravenous regular human insulin in contrast to subcutaneous rapid insulin analogs in our trial. A subcutaneous route for insulin administration, like in our study, results in wider inter-patient insulin absorption variability and subsequently affects glycemia. Nevertheless, it is more representative of patients’ real-life experiences in comparison to intravenous insulin.

As previously mentioned, we chose 32 g of CHO for initial consumption based on averages reported in real-life patients’ practices (4). Studies testing different amounts of CHO are scarce. McTavish et al. tested 15 g or 0.2 g/kg or 0.3 g/kg body weight in the form of glucose tablets for capillary glucose < 4 mmol/L, to be repeated every 10 min until hypoglycemia correction (14). Consuming 0.3 g/kg CHO (median 24 g at 3.3 mmol/L) was most effective in resolving hypoglycemia and necessitated repeated consumption in 29% of episodes (14). In our study, 32 g of CHO at a PG range of 3.0–3.5 mmol/L seemed efficient, necessitating second treatment in only 15% of subjects (vs. 35% to 50% in other arms). Our criteria for repeated treatment were less strict than those of McTavish et al. (longer wait and lower cutoff). We have opted for a second treatment with 16 g at 15 min if PG was still inferior to 3 mmol/L, instead of 4 mmol/L, as a safety measure. As such, our design gave a chance to explore the effect of 32 g of CHO, knowing that the absorption rate of CHO could differ and be longer in certain individuals. This design minimized the risk of rebound hyperglycemia with excessive repetitive treatment CHO consumption. In both trials, higher initial CHO than the recommended 16–20 g did not result in clinically significant rebound hyperglycemia. It is noteworthy that sensor glucose values often lag behind plasma levels, especially in hypoglycemia ranges (15). Accordingly, we chose a plasma glucose threshold lower than 3.5 mmol/L rather than 4 mmol/L for our study.

This potential advantage of an initial 32 g of CHO at a PG range of 3.0-3.5 mmol/L was not seen at lower hypoglycemia at which more intense and unpleasant symptoms were reported (data not shown) (16). One could hypothesize that it takes longer to replete PG once lower hypoglycemia ranges had been reached, regardless of initial CHO amounts, possibly due to higher uptake of exogenous glucose by energy-depleted organs at lower thresholds. It would be interesting to explore disposal rates of exogenous oral CHO at different hypoglycemia thresholds in PWT1D, but this was beyond the objectives of our current trial.

The pooled data were limited by its secondary analysis nature but it leads to interesting observations. It demonstrated that both absolute glucose levels and its rates of change (data that can be obtained with glucose sensors) and possibly rates of change of plasma insulin levels (research in progress designing insulin sensors) were positively associated with change of PG at 15 min (11). If integrated in future artificial intelligence algorithms, these parameters could suggest adapted amounts and timings of CHO consumption (11, 16). A higher initial CHO consumption of 32 g was positively associated with delta-PG-15.

Mini-doses of glucagon could be an alternative to oral CHO in NS-H, especially to avoid additional caloric intake with the increased prevalence of excess weight in PWT1D (17). Yet, research is still emerging in this area (12). A small study in PWT1D showed that 75, 150, and 300 μg of injectable glucagon could raise glucose levels after an overnight fast (13). However, efficacy was less at glucose levels < 4 mmol/L post-subcutaneous insulin boluses. At 20 min after glucagon injections, glucose levels increased only by 0.2 to 0.4 mmol/L and subjects reported nausea at the 150-μg dose (13). Thus, the action of mini-doses of glucagon was blunted after an insulin bolus but preserved for hypoglycemia during low circulating insulin levels (13). Mini-doses of glucagon might be more practical with nasal forms in comparison with injectable ones but lower doses than 3 mg should be available (12). Importantly, with all forms of glucagon, the efficiency, stability, and safety of repeated administration for the treatment of NS-H would need to be extensively tested and proven (18).

Our study had some limitations. Subcutaneous insulin could result in inter-patient variability due to differences in absorption, but it is more representative of real-life conditions than the historical use of the intravenous route. These results need replication during spontaneous hypoglycemia episodes in diverse free-living conditions using glucose sensors or capillary values and in pediatric populations. Alternate ways to treat NS-H should be investigated. We strongly believe that CHO intake at glucose thresholds higher than 4 mmol/L to prevent reaching serious hypoglycemia levels needs to be investigated.

In conclusion, this study has confirmed treatment difficulties of insulin-induced NS-H with the current guidelines. While it did not aim to change those guidelines, it added one important piece to the puzzle. Advantages of higher initial CHO consumption in some circumstances and treatment at higher glucose thresholds or ranges should be further reproduced in other trials and settings. This study adds to the scarce literature needed to fine-tune the treatment approach for this daily struggle for PWT1D and asserts the need to conduct other trials to cover various clinical scenarios and conditions of NS-H (8).

Data availability statement

The data analyzed in this study is subject to the following licenses/restrictions: Granular data can be made available upon direct request to the senior author. Requests to access these datasets should be directed to remi.rabasa-lhoret@ircm.qc.ca.

Ethics statement

The studies involving human participants were reviewed and approved by the Ethics committee at Montreal Clinical Research Institute. The patients/participants provided their written informed consent to participate in this study.

Author contributions

NT, VG, VM, and RR-L designed the study. NT, VP, and DB conducted data collection. NT and AS conducted data analysis. NT, A-SB, VG, RC, and RR-L helped in data interpretation. NT drafted the manuscript, which was critically revised by VP, VG, A-SB, AS, DB, RC, and RR-L. All authors revised the final draft and approved its contents. RR-L is the principal guarantor of this work.

Funding

This work was supported by the Juvenile Diabetes Research Foundation (4-SRA-2018-651-Q-R), CIHR/SPOR (JT1-157204), and CIHR (148464). NT is a scholar of the Canadian Institute of Health Research and holds the CIHR Banting and Best doctoral award.

Acknowledgments

We thank all the participants in our clinical trials for their valuable time and acceptance for repeated induced hypoglycemic episodes, and the nurses and clinical research personnel at the Montreal Clinical Research Institute for their invaluable work and efforts.

Conflict of interest

RR-L has received research grants from Astra-Zeneca, Eli Lilly, Merck, Novo-Nordisk, and Sanofi-Aventis. He has been a consultant or member of advisory panels of Abbott, Amgen, Astra-Zeneca, Boehringer, Carlina Technology, Eli Lilly, Janssen, Medtronic, Merck, Neomed, Novo-Nordisk, Roche, Sanofi-Aventis, and Takeda. He has received honoraria for conferences by Abbott, Astra-Zeneca, Eli Lilly, Janssen, Medtronic, Merck, Novo-Nordisk, and Sanofi-Aventis. He has received in kind contributions related to closed-loop technology from Animas, Medtronic, and Roche. He also benefits from unrestricted grants for clinical and educational activities from Eli Lilly, Lifescan, Medtronic, Merck, Novo Nordisk, and Sanofi. He holds intellectual property in the field of type 2 diabetes risk biomarkers, catheter life, and the closed-loop system. RR-L and VM received purchase fees from Eli Lilly in relation with closed-loop technology. NT has received consultant fees from Dexcom, Eli Lilly, and Viatris.

The remaining authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Publisher’s note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

References

3. Battelino T, Phillip M, Bratina N, Nimri R, Oskarsson P, Bolinder J. Effect of continuous glucose monitoring on hypoglycemia in type 1 diabetes. Diabetes Care (2011) 34(4):795–800. doi: 10.2337/dc10-1989

PubMed Abstract | CrossRef Full Text | Google Scholar

4. Savard V, Gingras V, Leroux C, Bertrand A, Desjardins K, Mircescu H, et al. Treatment of hypoglycemia in adult patients with type 1 diabetes: an observational study. Can J Diabetes (2016) 40(4):318–23. doi: 10.1016/j.jcjd.2016.05.008

PubMed Abstract | CrossRef Full Text | Google Scholar

7. Slama G, Traynard PY, Desplanque N, Pudar H, Dhunputh I, Letanoux M, et al. The search for an optimized treatment of hypoglycemia. carbohydrates in tablets, solutin, or gel for the correction of insulin reactions. Arch Intern Med (1990) 150(3):589–93. doi: 10.1001/archinte.1990.00390150083016

PubMed Abstract | CrossRef Full Text | Google Scholar

8. Urbanová J, Frier MB, Taniwall A, Brožová K, Malinovská J, Chandel A, et al. Optimal carbohydrate dose for treatment of nonsevere hypoglycemia in insulin-treated patients with diabetes: a narrative review. Can J Diabetes (2022) 46(7):743–749.e4. doi: 10.1016/j.jcjd.2022.03.011

CrossRef Full Text | Google Scholar

9. Gingras V, Desjardins K, Smaoui MR, Savard V, Messier V, Haidar A, et al. Treatment of mild-to-moderate hypoglycemia in patients with type 1 diabetes treated with insulin pump therapy: are current recommendations effective? Acta Diabetol (2018) 55(3):227–31. doi: 10.1007/s00592-017-1085-8

PubMed Abstract | CrossRef Full Text | Google Scholar

10. Vindedzis S, Marsh B, Sherriff J, Dhaliwal S, Stanton K. Dietary treatment of hypoglycaemia: should the Australian recommendation be increased? Intern Med J (2012) 42(7):830–3. doi: 10.1111/j.1445-5994.2012.02831.x

PubMed Abstract | CrossRef Full Text | Google Scholar

13. Haymond AW, Redonto MJ, Mckay S, Cummins MJ, Newswanger B, Kinzell J, et al. Nonaqueous, mini-dose glucagon for treatment of mild hypoglycemia in adults with type 1 diabetes: a dose-seeking study. Diabetes Care (2016) 39(3):465–8. doi: 10.2337/dc15-2124

PubMed Abstract | CrossRef Full Text | Google Scholar

14. McTavish L, Krebs JD, Weatherall M, Wiltshire E. Weight-based hypoglycaemia treatment protocol for adults with type 1 diabetes: a randomized crossover clinical trial. Diabetes Med (2015) 32(9):1143–8. doi: 10.1111/dme.12730

CrossRef Full Text | Google Scholar

15. Ajjan RA, Cummings MH, Jennings P, Leelarathna L, Rayman G, Wilmot EG. Accuracy of flash glucose monitoring and continuous glucose monitoring technologies: implications for clinical practice. Diabetes Vasc Dis Res (2018) 15(3):175–84. doi: 10.1177/1479164118756240

CrossRef Full Text | Google Scholar

16. Group IHS. Glucose concentrations of less than 3.0 mmol/L (54 mg/dL) should be reported in clinical trials: a joint position statement of the American diabetes association and the European association for the study of diabetes. Diabetes Care (2017) 40(1):155–7. doi: 10.1007/500125-016-4146-6

PubMed Abstract | CrossRef Full Text | Google Scholar

17. Leroux C, Brazeau AS, Gingras V, Desjardins K, Strychar I, Rabasa-Lhoret R. Lifestyle and cardiometabolic risk in adults with type 1 diabetes: a review. Can J Diabetes (2014) 38(1):62–9. doi: 10.1016/j.jcjd.2013.08.268

PubMed Abstract | CrossRef Full Text | Google Scholar

18. Taleb N, Haidar A, Messier V, Gringas V, Legault L, Rabasa-Lhoret  . Glucagon in artificial pancreas systems: potential benefits and safety profile of future chronic use. Diabetes Obes Metab (2017) 19(1):13–23. doi: 10.1111/dom.12789

PubMed Abstract | CrossRef Full Text | Google Scholar

留言 (0)

沒有登入
gif