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NCT Number: NCT07225465

Evaluating Safe Ketone Thresholds To Minimise Ketosis in People With Type 1 Diabetes Using Dapagliflozin

Sodium glucose cotransporter 2 (SGLT2) inhibitors are a type of medicine that help the kidneys get rid of extra sugar in the blood through urine. In people with type 2 diabetes (T2D), these medications help lower blood sugar levels, help people lose weight and improve heart and kidney health.

SGLT2 inhibitors are mainly used in T2D, however some studies show they might also help people with type 1 diabetes (T1D). The same health benefits observed in people with T2D the investigators anticipate may help those with T1D. Currently, there is a safety concern that people with T1D using these medicines can raise the risk of diabetic ketoacidosis (DKA). DKA occurs when the body doesn't have enough insulin (a hormone made in the pancreas that helps your body use sugar (glucose) for energy), it starts to break down fats as a source of energy. This breakdown of fats produces ketones. Very high levels of ketones in the blood can make the blood acidic (toxic) and lead to DKA. If not treated in time, this can make the person living with T1D very ill and can be life-threatening. Because of this risk, health agencies like the FDA in the U.S., and the TGA in Australia have not approved use of SGLT2 inhibitors for people with T1D.

Still, some experts believe SGLT2 inhibitors may safely be used alongside insulin in T1D if DKA risk is carefully managed. This might be possible with early detection and treatment of rising ketone levels. One approach is using continuous ketone monitors, which track ketone levels in real time and can alert users early. People would also need proper education on what to do if ketone levels start rising.

To date, there's no official agreement on the exact ketone level that should trigger action. Some suggest action when ketone levels reach 1.0 or 1.5 mmol/L. A lower limit like 1.0 mmol/L may be safer, but it could also lead to too many alarms and extra stress, or unnecessary eating to bring ketones down.

Therefore, the aim of this study is to assess if initiating responses to elevated ketone levels at a threshold of 1.0 mmol/L, compared to a threshold of 1.5 mmol/L, will reduce the risk of DKA in people with T1D using Dapagliflozin.

The investigators will recruit 115 adults with T1D and provide Dapagliflozin (SGLT2 inhibitor) and continuous glucose and ketone monitoring (DGK) devices. Participants will be randomly assigned to two groups. Group 1 will wear a DGK with alarms set at ketone level of 1.0 mmol/L and receive education about taking action when ketone levels are ≥1.0 mmol/L. Group 2 will wear a DGK with alarms set at ketone level of 1.5 mmol/L and receive education about taking action when ketone levels are ≥1.5 mmol/L. Participants will be assessed for time spent with critically high ketone levels, incidence of DKA, glucose and person reported outcomes.

Findings from this study will provide real life data and clinical evidence to help guide safe use of SGLT2 inhibitors in people with T1D by informing protocols for monitoring and managing associated DKA risks.

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Key information

Age range

24 year–85 year

Sex eligibility

All sexes

Study type

Interventional

Phase

Phase 2

Primary location

St Vincent's Hospital Melbourne, Fitzroy, Victoria, Australia

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About this study

Sodium glucose cotransporter 2 (SGLT2) is responsible for approximately 90% of glucose re-absorption in the renal proximal tubules, so SGLT2 inhibition results in significant excretion of glucose in the urine. SGLT2 inhibition may play a key role in the prevention and management of the cardiovascular-kidney-metabolic (CKM) syndrome as this class of agent has been shown to benefit glucose levels (reducing HbA1c, and glycaemic variability without increasing severe or total hypoglycaemia), reduce heart failure, improve weight control, reduce cardiovascular mortality, and provide reno-protection in people with diabetes thereby addressing some of the fundamental issues contributing to the syndrome. While most data pertain to agents which inhibit SGLT2 in people with T2D, SGLT2 inhibition also has the potential to substantially benefit glucose control, weight management, and reduce complication development including that of the CKM syndrome in people with T1D. Dapagliflozin is a SGLT2 inhibitor. Data available in adults with T1D indicate that Dapagliflozin improves glucose control without increasing hypoglycaemia and reduces glycaemic variability. In addition, there are improvements in body weight and blood pressure. There is also substantial evidence in people with T2D that Dapagliflozin lowers mortality from cardiovascular causes and hospitalisations for heart failure. In terms of reno-protective effects, Dapagliflozin was demonstrated to slow down decline in renal function, reduce rates of renal failure and death from renal causes in T2D.These cardiorenal benefits may extend to people with T1D.

While SGLT2 inhibitors as adjunctive therapy to insulin may benefit people with T1D, in general their use has been associated with a significantly increased risk of diabetic ketoacidosis (DKA) which may occur in the absence of hyperglycaemia. DKA represents a life-threatening acute emergency of T1D, which occurs when insulin deficiency leads to lipolysis and accumulation of ketones, resulting in metabolic acidosis. It requires prompt identification and action, and delays in management are associated with an increase in mortality. For example, the pooled analysis of DEPICT-1 and DEPICT-2 participants showed that over 52 weeks of treatment, the incidence of adjudicated DKA was numerically higher with Dapagliflozin 5 mg/day or 10 mg/day than with placebo (4.0% and 3.5% vs. 1.1%). Therefore, SGLT2 inhibitors in general have failed to receive approval in the USA (FDA) and Australia (TGA) for use to control glucose levels in people with T1D due to an unacceptable increase in DKA. It is possible that SGLT2 inhibitor therapy may be viable in people with T1D if an intervention is able to shift the risk-benefit balance in favour of benefit e.g. if the risk of DKA could be recognized and addressed in a timely manner. The early recognition of impending DKA is of critical importance. However, symptoms of ketosis which include nausea, vomiting, fatigue, loss of appetite, malaise, weakness, and tachypnoea appear late and those associated with dehydration may be absent in the setting of normoglycaemia. Therefore, timely ketone measurement represents a cornerstone of management allowing therapeutic measures to be initiated.

A continuous ketone sensor (CKS) would address many of the shortcomings associated with current standard-of-care blood ketone testing using a handheld meter. Ketones can be quantified in interstitial fluid using a similar approach to that taken with widely commercially used continuous glucose monitor (CGM), using an enzymatic reaction. While feasibility of CKS devices has previously been demonstrated, the optimum thresholds for alerts, balancing the burden of alarms vs. timely intervention, have yet to be determined. Preliminary at home CKS data provided by Abbott indicate free-living people with T1D who are not using SGLTi spend <1% of the time with ketone levels >1.0mmol/L. Ketone levels in free-living with T1D using SGLT2 inhibitors remains unknown. To provide insights into appropriate ketone thresholds for alerts a literature search was undertaken in May 2024.

Studies included were published between January 2000 and April 2024 involving those aged ≥16 years of age which described capillary β-OHB levels in relation to suspected DKA and which reported sensitivity, specificity, negative predictive value, or positive predictive value. Eight of the 11 studies provided capillary β-OHB levels that excluded DKA; these ranged from 0.7 to ≥3.0 mmol/L 13-23 and the most recommended cut-off level was 1.0 mmol/L (n=3) followed by 1.5 mmol/L (n=2). The β-OHB cut-offs for the diagnosis of DKA ranged from 1.8 mmol/L to 3.5 mmol/L, with 3.0 mmol/L being most proposed by five of the studies. The investigators therefore concluded that capillary β-OHB cut off values of <1.0 mmol/L and <1.5 mmol/L exclude DKA. The investigators also conclude that a capillary β-OHB level ≥3.0 mmol/L exhibited high sensitivity and specificity in detecting DKA with levels between 1.5 mmol/L and 3.0 mmol/L representing a transition range with increasing risk.

The investigators propose that to pre-empt DKA in people with T1D using SGLTi that responses to CKS data could be initiated at levels of either 1.0mmol/L or 1.5mmol/L with alerts aligned accordingly. The lower alert may provide an additional safety margin though could come at the cost of a greater number of alarms and carbohydrates eaten that may not have necessarily been required. The investigators also suggest that there may be high DKA-risk subgroups (female sex, lower baseline body mass index (BMI), β-hydroxybutyrate levels pre-treatment, use of an insulin pump, and lower insulin requirements at baseline with dose reductions required post SGLT inhibitor commencement to avoid hypoglycaemia) who may benefit from the lower alarm thresholds facilitating earlier intervention. Finally, the risk for DKA may vary according to illness, fasting and high intensity exercise requiring alerts to be adjusted according to circumstances. However, data are required to inform protocols.

Who can participate

Healthy volunteers accepted: No

Only the study team can determine whether someone qualifies for participation.

Inclusion criteria

  • Aged between 24 and 85 years of age inclusive (66% 24Y to 65Y; and 33% >65Y to 85Y)
  • Diagnosed with T1D (made on clinical criteria) for at least 1 year
  • Insulin regimen either on MDI or insulin pump with at least 40% in one mode
  • Minimum total daily insulin dose 0.4 Units per kg / day (can be on insulin pump or MDI);
  • HbA1c <10% (86mmol/ mol)
  • Minimum daily carbohydrate intake of 100g
  • Willing to adhere to the study protocol
  • Ability to perform high-intensity exercise (specific to the exercise sub-study)

Exclusion criteria

  • Pregnancy or planned pregnancy
  • eGFR <30ml/min/1.73m2
  • History of DKA in the last 12 months
  • Use of low carbohydrate diet (<100g/day)
  • Diabetic gastroparesis
  • Tape allergy
  • Heavy alcohol use (15 standard drinks per week or binge drinking)
  • Use of SGLT inhibitor in the last month
  • Medications increasing the risk of DKA e.g. steroids, anorectic agents (eg phentermine, naltrexone HCl/bupropion HCl, and GLP 1 agonists).
  • Major medical or psychiatric illness that in the opinion of the investigator would interfere with protocol adherence or impact participant safety.

Treatment and study plan

Forxiga

Drug

All participants will take FORXIGA (Dapagliflozin) orally at a dose of 10mg/day for 12 weeks

Primary outcomes

  1. Percent time spent with interstitial ketones ≥3.0mmol/L (Main Study)

    Time frame: Commencement to end of study (12 weeks)

    Percent of time spent with interstitial ketone levels ≥3.0mmol/L on dual glucose / ketone monitoring device during 12-weeks of taking Dapagliflozin

  2. Percent of time spent with interstitial ketones ≥3.0mmol/L during exercise (Exercise Study)

    Time frame: Weeks 4 to12

    Percent of time spent with interstitial ketones ≥3.0mmol/L on dual glucose / ketone monitoring device from start of exercise to 12 hours post-commencement of exercise

Secondary outcomes

  1. Percent of time with ketone levels in different ranges

    Time frame: Commencement to end of study (12 weeks)

    Percent time with interstitial ketone levels of:

    • >0.6 mmol/L
    • >1.0 mmol/L
    • >1.5mmol/L
  2. Mean interstitial ketone levels

    Time frame: Commencement to end of study (12 weeks)

    Average if ketone levels measured by dual glucose / ketone monitor device over 12 weeks

  3. Incidence of diabetic ketoacidosis (DKA)

    Time frame: Commencement to end of study (12 weeks)

    Number of DKA events

  4. Change in HbA1c

    Time frame: Week 0 and Week 12 from study commencement

    Difference in HbA1c (mmol/mol) between baseline and study end

  5. CGM metrics

    Time frame: Commencement to end of study (12 weeks)

    Standardised consensus CGM metrics (% times in prespecified ranges, mean glucose, and CV) over 12 weeks

  6. Change in weight

    Time frame: Week 0 and Week 12 from study commencement

    Change in weight (kg) from baseline to study end

  7. Change in BMI

    Time frame: Week 0 and Week 12 from study commencement

    Change in BMI (kg/m2) from baseline to study end

  8. Change in treatment satisfaction using Diabetes Medication System Rating Questionnaire - Short form

    Time frame: Week 0 and Week 12 from study commencement

    Change in questionnaire scores from baseline to study end. Questionnaire contains 20 items. Items are scored on a scale from 0 to 3-4. Higher scores mean better outcome

  9. Change in Gold score

    Time frame: Week 0 and Week 12 from study commencement

    Change in questionnaire scores from baseline to study end. Questionnaire contains 1 item. Item is scored on a scale from 1 to 7. Higher scores mean worse outcome

  10. Change in Pittsburgh Sleep Quality Index

    Time frame: Week 0 and Week 12 from study commencement

    Change in questionnaire scores from baseline to study end. Questionnaire contains 19 items. Items are scored on a scale from 0 to 3. Higher scores mean worse outcome

  11. Change in PROMIS Fatigue - Short form

    Time frame: Week 0 and Week 12 from study commencement

    Change in questionnaire scores from baseline to study end. Questionnaire contains 4 items. Items are scored on a scale from 1 to 5. Higher scores mean worse outcome

  12. Change in EQ-5D-5L

    Time frame: Week 0 and Week 12 from study commencement

    Change in questionnaire scores from baseline to study end. Questionnaire contains 6 items. Items are scored on a scale from 1 to 5. Higher scores mean worse outcome

  13. Change in Problem Areas in Diabetes - Short form

    Time frame: Week 0 and Week 12 from study commencement

    Change in questionnaire scores from baseline to study end. Questionnaire contains 5 items. Items are scored on a scale from 0 to 4. Higher scores mean worse outcome

  14. Change in WHO-5 Well-being index

    Time frame: Week 0 and Week 12 from study commencement

    Change in questionnaire scores from baseline to study end. Questionnaire contains 5 items. Items are scored on a scale from 0 to 5. Higher scores mean better outcome

  15. Change in Hypoglycaemia Fear Survey - Short Form

    Time frame: Week 0 and Week 12 from study commencement

    Change in questionnaire scores from baseline to study end. Questionnaire contains 11items. Items are scored on a scale from 0 to 4. Higher scores mean worse outcome

  16. Treatment satisfaction with ketone sensor using Study specific questions regarding treatment satisfaction

    Time frame: Week 12 from study commencement (study end)

    Questionnaire contains 10 items. Items are scored on a scale from 1 to 5. Higher scores mean better outcome

  17. Ketone sensor usability with System Usability Scale

    Time frame: Week 12 from study commencement (study end)

    Questionnaire contains 10 items. Items are scored on a scale from 1-5. Higher scores mean better outcome

  18. Treatment satisfaction and ketone sensor usability with User Experience Questionnaire

    Time frame: Week 12 from study commencement (study end)

    Change in questionnaire scores from baseline to study end. Questionnaire contains 26 items. Items are scored on a scale from 1 to 7. Higher scores mean better outcome

  19. Lived experience of a using DGK system during Dapagliflozin treatment

    Time frame: Week 12 from study commencement (study end)

    Thematic analysis of interviews exploring lived experience of a using DGK system during Dapagliflozin treatment

Other outcomes

  1. Percent time of sensor wear

    Time frame: Commencement to end of study (12 weeks)

    Percentage of time dual glucose/ketone sensor is worn during the 12 weeks of the study

  2. Incidence of sensor- related skin infections

    Time frame: Commencement to end of study (12 weeks)

    Number of skin infections at site of sensor insertion

  3. Mean duration of sensor survival before replacement

    Time frame: Commencement to end of study (12 weeks)

    Number of days dual glucose/ketone sensor is working for before needing replacement

  4. Difference between blood and interstitial ketones values

    Time frame: Commencement to end of study (12 weeks)

    Difference between ketone readings from the dual ketone/glucose sensor (study sensor) and fingerprick blood ketone test (standard of care)

Study contacts

Contact information is provided by the study sponsor or research team.

Prof. David O'Neal

CONTACT

[email protected]

+61 3 9231 2757

Sponsors and collaborators

Lead sponsor

St Vincent's Hospital Melbourne

Other

Collaborators

  • Austin Health
  • Baker Heart and Diabetes Institute
  • Melbourne Health
  • National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK)
  • University of Melbourne

Registry information

Official study title

The Evaluation of Two Response Thresholds to Continuous Ketone Monitoring Information Minimising Ketosis in People With Type 1 Diabetes Treated With Dapagliflozin

Acronym: KETO-TRACK

Important dates

Study start
2026
Primary completion
2028
Study completion
2028
First posted
Nov 6, 2025
Registry last updated
Nov 6, 2025

OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.

View the official ClinicalTrials.gov record (opens in a new tab)

This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.

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