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. 2017 Nov 1;19(11):618–622. doi: 10.1089/dia.2017.0267

Altered Patterns of Early Metabolic Decompensation in Type 1 Diabetes During Treatment with a SGLT2 Inhibitor: An Insulin Pump Suspension Study

Neha S Patel 1,, Michelle A Van Name 1, Eda Cengiz 1, Lori R Carria 1, Stuart A Weinzimer 1, William V Tamborlane 1, Jennifer L Sherr 1
PMCID: PMC5689123  PMID: 29068709

Abstract

Background: Enthusiasm for the benefits of sodium–glucose cotransporter 2 inhibitors (SGLT2i) as an adjunctive treatment in type 1 diabetes (T1D) has been offset by the possible increased risk of diabetic ketoacidosis (DKA). Since pump-treated T1D patients are susceptible to DKA due to infusion site problems, this study was undertaken to assess how treatment with SGLT2i affects patterns of early metabolic decompensation following suspension of basal insulin.

Methods: Ten T1D participants (age 19–35 years, duration 10 ± 8 years, A1c 7.4% ± 0.8%) underwent overnight pump suspension studies before and after treatment with canagliflozin (CANA). On both nights, basal insulin was suspended at 3 AM and plasma glucose (PG), β-hydroxybutyrate (BHB), free fatty acids (FFA), plasma insulin (PI), and glucagon were measured. Studies were terminated 6 h after suspension or if PG rose to >350 mg/dL or BHB >2.5 mmol/L.

Results: PI levels at the start of suspension were reduced by 30% after CANA treatment (44 ± 11 uU/mL vs. 31 ± 10 uU/mL, P < 0.01), but baseline PG, BHB, FFA, and glucagon levels were not significantly different. During the suspension, PG rose from 104 ± 10 to 301 ± 21 mg/dL before treatment, but only from 109 ± 8 to 195 ± 14 mg/dL after treatment (P = 0.002 vs. pretreatment values). On the other hand, CANA treatment did not significantly affect the magnitude of increases in FFA, BHB, and glucagon levels during the suspension study.

Conclusion: These data indicate that SGLT2i do not accelerate the rate of ketogenesis following the interruption of basal insulin infusion in T1D. Rather, the failure of patients to promptly recognize early metabolic decompensation relates to the much more gradual rise in PG levels.

Keywords: : SGLT2 inhibitor, Type 1 diabetes, Pump failure, Ketosis, Glucose levels

Introduction

Even though the Diabetes Control and Complications Trial (DCCT) demonstrated that successful intensive treatment of type 1 diabetes (T1D) could reduce the risk of long-term vascular complications more than 2 decades ago,1,2 the T1D Exchange has reported that fewer than one-third of adults in the U.S. maintain hemoglobin A1c levels <7.0% and nearly 70% of adult participants were overweight or obese.3 The limitations of insulin pump and multiple injection therapies in combination with persistent problems with diabetic ketoacidosis (DKA) and severe hypoglycemia3 have stimulated interest in using adjunctive therapies that have been approved for use in T2D in patients with T1D.

Over the past decade, a number of new drug classes have been approved for use in the treatment of T2D.4 Notably, two of these classes of medications have been associated with weight loss: glucagon-like peptide-1 (GLP-1) receptor agonists and sodium–glucose cotransporter 2 inhibitors (SGLT2i).4 SGLT2i are particularly attractive for adjunctive use in T1D, as they are orally active agents that lower plasma glucose (PG) levels by increasing urinary glucose excretion5; a mechanism that is independent of insulin.5,6 Indeed, a variety of relatively short-term clinical trials of SGLT2i in T1D have shown reductions in A1c, total daily insulin doses, and weight.7–12

Enthusiasm for use of SGLT2i in T2D has been dampened by reports suggesting an increased risk of DKA often without marked hyperglycemia in diabetic patients being treated with these agents. These reports prompted the FDA to publish a warning that T2D patients treated with insulin may be at greater risk for DKA when they are treated with an SGLT2i.13 More recently, a case series reported 13 episodes of moderate-to-severe DKA in nine patients with diabetes, in whom presenting PG levels ranged between 96 and 233 mg/dL. It is particularly notable that seven of these patients had T1D and only two had T2D.14

There are several factors that could make insulin pump-treated T1D patients who receive SGLT2i susceptible to “euglycemic” DKA during the night, including the relatively frequent occurrence of infusion site failures; increased rates of lipolysis and ketogenesis due to reductions in basal insulin infusion rates during SGLT2i treatment; and blunted increases in PG due to increased urinary losses of glucose. To address these issues, we employed an insulin interruption protocol previously used by our group to determine whether pump-treated patients receiving a rapid-acting analog (lispro) were more susceptible to DKA than patients receiving human regular insulin in the event of an infusion site failure at night.15

Research Designs and Methods

Participants were recruited from the Yale Type 1 Diabetes Program. Inclusion criteria included age 18–45 years, clinical diagnosis of T1D of at least 1 year's duration, current use of a continuous subcutaneous insulin infusion (CSII) pump for at least 3 months, A1c ≤9% (<75 mmol/mol), body weight >40 kg due to blood sampling, normal hemoglobin and estimated glomerular filtration rate (eGFR) ≥60 mL/min/1.73 m2, and the ability to carry out daily ketone monitoring during the 7- to 14-day run-in period before the initial insulin suspension study. Exclusion criteria included history of recurrent genital mycotic infections, males who were uncircumcised (due to increased risk of genital infections), other chronic medical condition which would interfere with safety of study, use of medications (other than insulin) known to affect PG levels, and female participants who were pregnant or lactating. After a complete explanation of the study procedures, written informed consent was obtained from participants. The study was approved by the Yale University Human Investigation Committee and registered at clinicaltrials.gov (NCT02673138).

Study Design

The study utilized an open-label design in which each participant was studied under two conditions: suspension of CSII during treatment with insulin alone (control) versus suspension of CSII during treatment with insulin and canagliflozin (CANA). CANA was chosen because the largest trials of this class of medication in T1D had been conducted with CANA at the time of study initiation.11 Primary outcomes of interest were the incremental changes from baseline in PG and β-hydroxybutyrate (BHB) levels at the end of insulin suspension and secondary outcomes included the incremental changes from baseline in free fatty acids (FFA) and glucagon levels at the end of the insulin suspension.

Study Procedures

Preparation for suspension studies

At enrollment, participants were instructed to monitor urinary ketones first thing in the morning while they were fasting, and before bedtime in the evening during a 1- to 2-week run-in period. If urinary ketones were trace or greater, participants were then advised to measure blood BHB levels by a Precision Xtra Meter (Abbott Diabetes Care, Inc., Alameda, CA).

On the evenings of planned suspension studies, participants arrived at the Yale New Haven Hospital Research Unit between 5 and 6 PM, at which time intravenous catheters were inserted for blood sampling. On both study days, identical, self-selected meals were provided at 6 PM. Carbohydrate intake for dinner averaged 70 ± 22 g (range 38–104). Participants were allowed to calculate bolus doses to mimic routine care. No snacks were allowed, except for treatment of hypoglycemia and no supplemental insulin was given after 10 PM to avoid having insulin on board at start of suspension, which was at 3 AM.

Suspension protocol

The suspension protocol utilized in this study both before and after CANA therapy was identical to that previously described by our group.15 Briefly, to proceed with interruption phase of the study scheduled to commence at 3 AM, PG levels had to be <150 mg/dL and BHB levels had to be <0.6 mmol/L. PG and BHB were monitored at the bedside every 30 min, measured by a YSI 2300 Glucose Analyzer (YSI Life Sciences, Yellow Springs, OH) and Precision Xtra Meter, respectively. The insulin interruption phase of the study was terminated after 6 h, or earlier if bedside BHB was ≥2.5 mmol/L or PG was >350 mg/dL (19.4 mmol/L).

Blood samples were obtained for laboratory measurement of PG, BHB, FFA, and glucagon levels just before and every 30 min following interruption of the insulin infusion. Plasma insulin (PI) samples were obtained just before the interruption of basal insulin. A correction dose of rapid-acting insulin analog was given at the end of each study. Before discharge home, bedside BHB levels had to be <1.0 mmol/L and PG >90 mg/dL.

Outpatient CANA dose titration phase

The day after the control suspension visit, participants initiated treatment with CANA 100 mg once daily. With initiation of CANA therapy, basal and bolus insulin doses were reduced by ∼20% in all subjects. Participants were in daily phone contact with the study team for the first week after starting CANA to allow for titration of insulin doses and elicit if there were any side effects from the medication. After one week at the 100 mg dose, CANA was increased to a dose of 300 mg once daily. Participants were then contacted every 2–3 days until their second inpatient suspension study; total outpatient treatment period was 3–4 weeks.

During the outpatient dose titration phase, urine ketones were measured daily before breakfast, before bed, and if PG >200 mg/dL (11 mmol/L). If urine ketones were trace or larger, participants were advised to check BHB by a Precision Xtra Meter to further quantitate the degree of ketonemia.

Suspension while on SGLT2i therapy

After being treated with CANA for ∼3–4 weeks, participants were admitted for a second inpatient suspension visit. Study procedures replicated the first visit, except that participants took their 300 mg dose of CANA at 8 AM on the day of admission.

Analytical methods

Laboratory BHB levels were measured by UV/Vis colorimetric spectrophotometer (Wako Autokit3-HB), PI levels were measured by radioimmunoassay (EMD Millipore), PG levels were measured by YSI 2300 Glucose Analyzer (YSI Life Sciences, Yellow Springs, OH), FFA by UV/Vis colorimetric spectrophotometer (Wako NEFA-HR2), glucagon by radioimmunoassay (EMD Millipore), and A1c by the DCA Vantage (Siemens Medical Solutions Diagnostics).

Statistical methods

BHB concentrations were used to compare differences in metabolic decompensation between the two treatment conditions: control versus CANA. Studies in which there was premature termination of the suspension phase, the last level before resuming basal insulin was carried forward. Incremental increases were calculated for PG, BHB, FFA, and glucagon levels to correct for any baseline differences between the two studies. Statistical comparisons between control and CANA visits used paired t-tests for normally distributed data and Wilcoxon matched pairs signed-rank tests for non-normally distributed data. Data are presented as mean ± SE. Calculations were performed using GraphPad Prism 6 (GraphPad Software, San Diego, CA).

Results

Participants

Twelve participants were recruited into the study. However, one participant withdrew secondary to hypoglycemic seizure before any study procedures and another was excluded due to an A1c >9% at the enrollment visit. The 10 participants (2 males) who completed the study were aged 23 ± 5 years (range 19–35 years), had diabetes duration of 10 ± 8 years, and a mean A1c level of 7.4% ± 0.8% (57.0 ± 8.7 mmol/mol) ranging between 6.3% and 8.8% (45.0–73.0 mmol/mol).

Outpatient insulin dose titration

As shown in Table 1, at the end of the 3–4 weeks of CANA treatment, total daily insulin doses decreased by 16%, which was due to reductions in basal and bolus doses of insulin. Despite the reduction in total daily insulin doses, A1c fell slightly versus baseline values. Individual participant values are shown in Supplementary Table S1; Supplementary data are available at http://online.liebertpub.com/suppl/10.1089/dia.2017.0267.

Table 1.

Changes in Insulin Doses Pre- and PostCanagliflozin Treatment

  TDD (units) Basal insulin (units) Overnight basala(units)
Baseline 50.9 ± 4.2 30.8 ± 2.5 6.4 ± 0.5
Posttreatment 42.8 ± 3.5 26.1 ± 0.7 5.3 ± 0.6
Change 8.1 4.7 1.1
% Change 16 15 17

Data are presented as mean ± SE.

a

Overnight basal insulin from 12a to 6a.

TDD, total daily dose.

Insulin suspension studies

None of the participants needed to have their visits rescheduled, as they all met the criteria to carry out the suspension on both occasions; namely, baseline PG <150 mg/dL and bedside BHB level <0.6 mmol/L.

As expected from the decreases in insulin doses during CANA treatment, baseline PI levels before suspension of basal insulin were 30% lower during the CANA study than during the control study (31 ± 10 uU/mL vs. 44 ± 11 uU/mL, P < 0.006); whereas, baseline PG levels were similar at the start of the suspension on both visits (Table 2). As shown in Figure 1, the rise in PG levels between the two studies began to diverge during the third hour of insulin suspension. Consequently, PG at the end of suspension in the control study was 301 ± 21 mg/dL, which was in marked contrast to the mean PG of 195 ± 14 mg/dL during the CANA study (P = 0.002). Compared with the pretreatment control study, the peak increment in PG from baseline during treatment with CANA was reduced by 50% (P = 0.002, Table 2).

Table 2.

Data from Suspension Sessions

During suspension Control CANA P
Plasma glucose (mg/dL)
 Start of suspension 104 ± 10 109 ± 8 0.86
 Increment plasma glucose 197 ± 24 99 ± 13 0.002
BHB (mmol/L)
 Start of suspension 0.2 ± 0.1 0.4 ± 0.1 0.078
 Increment BHB 1.2 ± 0.2 1.5 ± 0.2 0.2
Free fatty acids (mmol/L)
 Start of suspension 0.4 ± 0.1 0.5 ± 0.2 0.065
 Increment FFA 0.8 ± 0.1 0.7 ± 0.1 0.28
Glucagon (pg/mL)
 Start of suspension 88 ± 9 75 ± 9 0.2
 Increment glucagon 14 ± 5 36 ± 15 0.07

Data are presented as mean ± SE.

BHB, β-hydroxybutyrate; CANA, canagliflozin; FFA, free fatty acids.

FIG. 1.

FIG. 1.

Plasma glucose and BHB levels during the control and CANA treatment studies. Changes in plasma glucose (top) and β-hydroxybutyrate (bottom) are shown during suspension. Control condition is depicted as dotted line with circles, CANA condition as solid line with squares. BHB, β-hydroxybutyrate; CANA, canagliflozin.

Despite the lower baseline concentrations of PI during the CANA study, baseline BHB and FFA levels were only mildly increased above what was seen during the control study (Table 2). Even more important, the rise in BHB levels were similar during both interruption studies, as were the increases in FFA levels (Table 2). Plasma glucagon levels at the start of the suspension were slightly higher during the control study (88 ± 9 pg/mL) versus the CANA study (75 ± 9 pg/mL), but these differences were not significant (P = 0.2). Conversely, the incremental increase in glucagon levels following suspension tended to be greater during CANA treatment (control: 14 ± 5 pg/mL vs. CANA: 36 ± 15 pg/mL), but these differences were also not statistically significant (P = 0.07).

A total of five suspension studies were terminated per protocol (PG >350 mg/dL and/or bedside BHB >2.5 mmol/L) before completion of the planned 6-h suspension. Two were due to hyperglycemia (both occurred during control visits) and the other three (one control and two on SGLT2i) were due to BHB >2.5 mmol/L. Table 3 shows the individual data points for the five studies that were terminated before the planned 6-h suspension.

Table 3.

Studies with Early Termination

  Visit Duration of suspension (h) BHB (mmol/L) PG (mg/dL)
Termination secondary to PG
 Participant 1 Control 5.0 1.0 355
 Participant 8 Control 5.5 1.5 364
Termination secondary to BHB
 Participant 3 Control 4.5 2.8 292
 Participant 3 CANA 4.5 2.8 196
 Participant 4 CANA 5.0 2.5 148

PG, plasma glucose.

Discussion

The recent reports of DKA in patients with T1D being treated with SGLT2i prompted us to carry out a study whose primary aim was to discover whether delayed recognition of early metabolic decompensation in T1D was due to vulnerability to accelerated lipolysis and ketogenesis secondary to reductions in basal insulin doses during SGLT2i treatment. Alternatively, early metabolic decompensation might be more difficult to recognize because of a blunted rise in PG levels due to excessive urinary glucose losses with these agents or a combination of both of these factors. We further hypothesized that such vulnerability would be most readily observed in insulin pump-treated patients who suffer an infusion site failure during sleep at night.

The observations that baseline levels of FFA and BHB levels and the rise in both of these substrates were similar during both insulin suspension studies suggest that T1D patients are not susceptible to accelerated lipolysis and ketogenesis, despite the reduction in overnight basal insulin doses during SGLT2i treatment. This conclusion is supported by the modest differences in plasma glucagon between the two studies at baseline and following interruption of the basal insulin infusion.

Data from the control study before initiation of CANA therapy demonstrated that PG levels markedly increased from ∼100 to >300 mg/dL within 5–6 h with suspension of basal insulin; whereas, PG levels increased from ∼100 to only about 200 mg/dL during CANA treatment. Over this same period of time, mean BHB levels increased by only 1.0 mmol/L before and during treatment with CANA. Thus, the results of our study suggest that the failure to recognize early metabolic decompensation due to infusion site failures in T1D patients being treated with SGLT2i more likely relates to the much more gradual rate of increase in PG levels rather than to increased rates of lipolysis and ketogenesis.

The major limitation of the study is its relatively small sample size. However, the PG and BHB responses to the interruption of basal insulin during the control experiments in this study were nearly identical to those observed in our prior insulin interruption study in a larger group of T1D patricipants.15 In that study, the insulin interruption also had to be prematurely terminated due to elevated ketones in 1/3 of participitants. In addition, the blunted rise in PG during CANA treatment was very consistent between participants. The failure to observe statistically significant differences in the incremental rise of plasma glucagon levels between the two studies should be interpreted with particular caution because of the small sample size and because it has been suggested that inhibition of SGLT2 expressed in pancreatic alpha cells can promote glucagon secretion.16 Whether rates of lipolysis and ketogenesis are accelerated by SGLT2i during intercurrent illnesses or stress also remain to be determined.

Current protocols for the early detection of infusion site failures in pump-treated T1D patients have focused on recognition of persistent elevations in PG levels that fail to respond to administration of correction boluses of insulin rather than depending on measurements of blood BHB or urine ketone levels. The effectiveness of this approach is illustrated by data from the T1D Exchange indicating that patients with insulin pump have a lower risk of DKA than patients on insulin injection treatment.3 Consequently, the most important finding of this study is that clinicians and patients cannot depend on a “glucocentric” approach to the early detection of infusion site failure in T1D patients on SGLT2i treatment. Rather, DKA prevention protocols for insulin pump-treated T1D patients being treated with SGLT2i need to include the prerequisite for routine measurement of blood or urine ketones with additional monitoring at lower PG levels and if there are any signs or symptoms of nausea, vomiting, or dehydration.14

Supplementary Material

Supplemental data
Supp_Table1.pdf (21.4KB, pdf)

Acknowledgments

The authors thank the participants and their families, the healthcare professionals, and staff of the Yale Children's Diabetes Clinic, the Yale Center for Clinical Investigation, and the dedicated nursing staff of the Hospital Research Unit, whose support and participation made this project possible. Funding: This publication was made possible through the support of grants from the Endocrine Fellows Foundation, Juvenile Diabetes Research Foundation (5-ECR-2014-112-A-N), and the National Institutes of Health (K12-DK-094714, UL1TR000142, P30 DK45735).

Authors' Contributions

N.S.P. research data and wrote the article. M.A.V, E.C., and S.A.W. researched data and contributed to the discussion. W.V.T and J.L.S. researched data, contributed to the discussion, and reviewed and edited the article. N.S.P. is the guarantor of this work, and as such, had full access to all of the data in the study and takes responsibility for the integrity of the data and accuracy of the data analysis.

Author Disclosure Statement

W.V.T. is a consultant for AstraZeneca, Boehringer Ingelheim, Janssen, Medtronic Diabetes, NovoNordisk, and Sanofi. S.A.W. is a consultant and speaker for Insulet and receives research grant support from Medronic (to Yale). E.C. is a speaker for NovoNordisk and on advisory board of Novo, Mannkind, Adocia, and Lexicon. J.L.S. serves on the advisory board of Bigfoot Biomedical and Insulet and is a consultant for Medtronic Diabetes. No other potential conflicts of interest relevant to this article were reported. No sponsor had any role in the study design, data collection, data analysis, data interpretation, or writing of the report.

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Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

Supplemental data
Supp_Table1.pdf (21.4KB, pdf)

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