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Clinical utility of the twiist Automated Insulin Delivery System: first study with twiist

Open access
Ruiz, Adriana, Mcdonough, Ann, Snow, Ken, Bode, Bruce, Mitri, Joanna·2026·BMJ Open Diabetes Research & Care

Abstract

Introduction: Randomized controlled trials and real-world studies have demonstrated that automated insulin delivery (AID) systems enhance glycemic control and mitigate hypoglycemia risk in individuals with type 1 diabetes. This study evaluated the safety, effectiveness, and usability of the twiist AID System on glycemic outcomes in adults with type 1 diabetes. Research design and methods: This 8-week, prospective, single-center, single-arm study included 20 adults with type 1 diabetes. The primary outcome measures were the percent of time spent in established continuous glucose monitoring (CGM) glycemic target ranges at 8 weeks. The primary efficacy outcome was percent time in range (%TIR; 70–180 mg/dL) at 8 weeks. Secondary outcomes were the change in glucose pre-occlusion detection; the effects of total daily insulin delivery (TDD) on glucose pre- and post-occlusion detection; the effect of Max basal ratio on %TIR; the effect of users’ correction range on %TIR; and change in glycated haemoglobin (HbA1c). Changes in TDD and body weight were also assessed. Results: 19 participants completed the study. At 8 weeks, the mean %TIR was 70.3±15.5%. Participants achieved or maintained glycemic targets for all CGM metrics except time above >250 mg/dL. A total of 67 occlusion events occurred in 15 participants. These events were detected within 30 min of rising glucose. Higher max basal ratio settings were associated with higher %TIR. The %TIR for participants with a correction range <100 mg/dL was 79.2±13.4% vs 67.2±15.0% for those with a correction range >100 mg/dL. HbA1c levels decreased (−0.4%±0.5%) in participants with baseline HbA1c >7%. A slight increase in TDD (1.3±16.2 U) and a decrease in body weight (−0.09±2.9 kg) were observed. No serious adverse events were reported. Conclusions: Eight-week use of twiist enabled participants to achieve or maintain established glycemic targets and suggests the system’s ability to detect occlusions before clinically significant glucose rise regardless of TDD. Larger and longer term studies are needed.

AI snapshot

Written from the paper’s full text.

TL;DR

In this first clinical study of the twiist Automated Insulin Delivery System, 19 of 20 adults with type 1 diabetes completed 8 weeks of use and achieved a mean time in range (70–180 mg/dL) of 70.3±15.5%. The system detected infusion set occlusions within 30 min of rising glucose, with no serious adverse events reported.

Key findings

  • At 8 weeks, mean %TIR was 70.3±15.5%; participants met CGM targets for time <54 mg/dL (0.3±0.4%), time <70 to 54 mg/dL (2.0±1.4%), time >180 to 250 mg/dL (19.0±9.0%), and coefficient of variation (35.7%), but not for time >250 mg/dL (8.4±8.6% vs target <5%).
  • A total of 144 occlusion alarms were recorded (0.95 alarms/person-week); after excluding alarms confounded by meals/boluses, 67 occlusion events occurred in 15 participants and were detected within 30 min of rising glucose.
  • Higher Max basal ratio settings were associated with greater %TIR; participants with a correction range midpoint <100 mg/dL had %TIR 79.2±13.4% vs 67.2±15.0% for those with >100 mg/dL.
  • HbA1c decreased by −0.4±0.5% in participants with baseline HbA1c >7%; no significant changes were observed in TDD (Δ1.3±16.2 U) or body weight (Δ−0.09±2.9 kg), and no serious adverse events were reported.

Methods

  • This was an 8-week, prospective, single-center, single-arm study of 20 adults with type 1 diabetes conducted at Atlanta Diabetes Associates, Atlanta, Georgia, from March 3 to May 12, 2025; 19 participants completed the study.
  • The primary efficacy outcome was %TIR (70–180 mg/dL) at 8 weeks; secondary outcomes included glucose changes pre- and post-occlusion detection, effects of TDD and Max basal ratio on outcomes, effects of correction range on %TIR, HbA1c change, TDD, and body weight.
  • No statistical analysis or power calculations were performed for sample size; prespecified analyses were performed for all participants who entered the study, with demographic and clinical information presented as mean±SD. Occlusion analyses excluded notifications with carbohydrate entry or insulin bolus within 3 hours before or 1 hour after the alarm.

Limitations

  • The paper states limitations including single-center design, recruitment from an existing clinic population with higher technology literacy and engagement, structured training/support not reflecting real-world initiation, small non-powered sample, single-arm non-comparative methodology, short duration, lack of pre-twiist glycemic data, inability to generalize occlusion findings to much lower TDD (e.g., young children), potential Hawthorne effect, and lack of ethnic, socioeconomic, and geographic diversity.
  • The paper also notes that the study was not designed to evaluate clinical outcomes directly attributable to occlusion events, so occlusion results support feasibility rather than definitive evidence of improved safety or efficacy.
  • Evident from the text: the correction-range comparison had only a 17 mg/dL mean difference between groups, and the authors call for larger and longer studies with wider variation in correction range.

Model-written summary. Check it against the paper before relying on it.

Integrity signals

Registry

Crossref · 10.1136/bmjdrc-2026-006307

Cites

23 of 23 references verified0 citation errors · 0 not checkable

Statistics

Nothing to recompute.

Claims the paper makes

15 of 21 cited sources checked · 11 supported · 0 flagged · accuracy not yet measured

  • Premisecitation

    Infusion set occlusions can result in severe hyperglycemia and diabetic ketoacidosis.

    “Infusion set occlusions, which impede the delivery of infused insulin, can result in severe hyperglycemia and DKA.21”
    Quote in the paperSubstantial claim1 of 1 sources checked
    • cites [21] Klonoff, 2017, Insulin Pump Occlusions: For Patients Who Have Been Around the (Infusion) Block, J Diabetes Sci Technol source
  • Interpretationown data

    Safety outcomes are comparable to other short-duration AID studies.

    “Our results also showed safety outcomes that are comparable to other short-duration AID studies, showing no DKA or severe hypoglycemia events and very little time spent in level 1 and level 2 hypoglycemia.”
    Quote in the paperSubstantial claim2 of 2 sources checked
    • cites [18] source
    • cites [19] Carlson, 2022, Advanced Hybrid Closed-Loop System Pivotal Trial in Adolescents and Adults with Type 1 Diabetes, Diabetes Technol Ther source
  • Premisecitation

    Insulin infusion set failures are common among individuals using insulin pump therapy.

    “However, insulin infusion set (IIS) failures are common among individuals using insulin pump therapy.3–5”
    Quote in the paperSubstantial claim1 of 3 sources checked
    • cites [3] Wilcox JH , Gray JC , Cooper NR , et al . 696-P: Insulin Pump Infusion Set Failure (IPISF) Management: T1D Exchange Survey. Diabetes 2021;70. doi:10.2337/db21-696-P source
    • cites [4] source

      The Abstract and Discussion report common skin reactions to CGM and insulin-pump devices, with some patients discontinuing device use. They do not report whether insulin infusion sets fail commonly; searches for infusion-set failure and related terms found no such finding in our copy. (LLM, conf=0.74)

      Experimental — accuracy not yet measured
    • cites [5] source
  • Interpretationcitation

    This finding supports previous studies demonstrating a correlation of percent time in range with more aggressive correction targets.

    “This finding supports previous studies demonstrating a correlation of %TIR with more aggressive correction targets.19 20”
    Quote in the paperNot a substantial claim2 of 2 sources checked
    • cites [19] Carlson, 2022, Advanced Hybrid Closed-Loop System Pivotal Trial in Adolescents and Adults with Type 1 Diabetes, Diabetes Technol Ther source
    • cites [20] Tornese, 2023, Safety of Real-life Usage of Advanced Hybrid Closed-Loop System MiniMed 780G in Children With Type 1 Diabetes Younger Than 7 Years Old, Diabetes Care source

      The results passage (page not provided) reports increased %TIR after Auto Mode began and says that most children later used lower glucose targets. Table 1 tracks both measures over time, but the paper does not demonstrate a correlation between %TIR and more aggressive targets; the initial TIR increase occurred before the reported shift to lower targets. (LLM, conf=0.82)

      Experimental — accuracy not yet measured
  • Study design and conductcitation

    The potential Hawthorne effect must be considered a limitation.

    “The potential Hawthorne effect must also be considered a limitation.25”
    Quote in the paperNot a substantial claim1 of 1 sources checked
  • May combine two claims. 20
  • Classified as probably not a substantial claim. 6
  • May combine two claims.

    Premisecitation

    Automated insulin delivery systems enhance glycemic control and mitigate hypoglycemia risk in individuals with type 1 diabetes.

    “Evidence from randomized controlled trials and real-world observational studies has demonstrated that these advanced systems enhance glycemic control, mitigate the risk of hypoglycemia, and improve the quality of life in individuals with type 1 diabetes, including adults, adolescents, and pediatric populations.2”
    Quote in the paperSubstantial claim1 of 1 sources checked
    • cites [2] Peacock, 2023, A Systematic Review of Commercial Hybrid Closed-Loop Automated Insulin Delivery Systems, Diabetes Ther source

      The Introduction (page unavailable) reports improved glycaemic measures with commercial hybrid closed-loop systems. It says trials found no increase in hypoglycaemia and that some studies found a reduction; the Conclusions (page unavailable) likewise report no increase in severe hypoglycaemia. Thus the review supports improved glycaemic control, but not a general reduction in hypoglycaemia risk across these systems. (LLM, conf=0.85)

      Experimental — accuracy not yet measured
  • May combine two claims.

    Premisecitation

    The twiist AID System detects interruptions of insulin delivery due to occlusion substantially faster than other available pumps and supports dose-delivery accuracy.

    “A recent bench testing study showed that the system detects interruptions of insulin delivery due to occlusion substantially faster than other available pumps and supports dose-delivery accuracy,11”
    Quote in the paperSubstantial claim1 of 1 sources checked
    • cites [11] Butterfield, 2024, Performance of a Continuous Subcutaneous Insulin Infusion (CSII) Pump With Acoustic Volume and Flow Sensing in Simulated High-Consequence Situations, IEEE Open J Eng Med Biol source
  • May combine two claims.

    Findingcitation

    Mean glucose was 154±26.8 mg/dL, corresponding to an HbA1c of approximately 7%.

    “The mean glucose of 154±26.8 mg/dL corresponded with an HbA1c of approximately 7%.14”
    Quote in the paperSubstantial claim1 of 1 sources checked
    • cites [14] source

      In “How Is GMI Calculated?” (page unavailable), the paper gives a formula under which a mean glucose of 154 mg/dL yields a GMI of approximately 7%. It does not report the stated 154±26.8 mg/dL mean and variation, and it cautions elsewhere that GMI can differ from laboratory-measured HbA1c. (LLM, conf=0.86)

      Experimental — accuracy not yet measured
  • May combine two claims.

    Findingown data

    Participants achieved or maintained established CGM glycemic targets for %TIR, %TBR, %TAR (180-250 mg/dL), and %CV at 8 weeks.

    “Primary and other efficacy endpoints at 8 weeks (mean %TIR (70–180 mg/dL), %TBR (<70 mg/dL and <54 mg/dL), %TAR (180–250 mg/dL)) and %CV were within the established targets for the CGM glycemic metrics13 (table 1).”
    Quote in the paperSubstantial claim1 of 1 sources checked
  • May combine two claims.

    Interpretationown data

    The observed results are similar to earlier AID clinical investigations, demonstrating comparable performance in percent time in range to Control-IQ (70.9%), Omnipod 5 (67.8%), and Medtronic 780G (71.2% ≤15 years/73.9% >15 years).

    “Despite the small cohort, our findings are similar to earlier AID clinical investigations, demonstrating comparable performance in %TIR observed in prospective and retrospective observation trials of other systems, such as Control-IQ (70.9%),15 Omnipod 5 (67.8%),16 and Medtronic 780G (71.2% (≤15 years)/73.9% (>15 years)).17”
    Quote in the paperSubstantial claim1 of 3 sources checked
    • cites [15] De Meulemeester, 2025, One-year real-world benefits of Tandem Control-IQ technology on glucose management and person-reported outcomes in adults with type 1 diabetes: a prospective observational cohort study, Diabetologia source
    • cites [16] Forlenza, 2024, Real-World Evidence of Omnipod® 5 Automated Insulin Delivery System Use in 69,902 People with Type 1 Diabetes, Diabetes Technol Ther source
    • cites [17] Castañeda, 2024, Time in Tight Glucose Range in Type 1 Diabetes: Predictive Factors and Achievable Targets in Real-World Users of the MiniMed 780G System, Diabetes Care source
  • May combine two claims.

    Premisecitation

    Brown et al reported one diabetic ketoacidosis event and three severe hypoglycemia events in their 3-month study of 111 children and 124 adults using the Omnipod 5 AID System.

    “For example, Brown et al reported one DKA event and three severe hypoglycemia events in their 3-month study of 111 children and 124 adults using the Omnipod 5 AID System.18”
    Quote in the paperSubstantial claim1 of 1 sources checked
  • May combine two claims.

    Findingown data

    In the lower TDD group, 23 occlusion events were detected within 30 min of rising glucose; in the higher TDD group, 44 events were detected.

    “A total of 23 occlusion events were detected in the lower TDD group and 44 events in the higher TDD group within 30 min of rising glucose (figure 2).”
    Quote in the paperSubstantial claim
  • May combine two claims.

    Findingown data

    No diabetic ketoacidosis or severe hypoglycemia events occurred.

    “showing no DKA or severe hypoglycemia events and very little time spent in level 1 and level 2 hypoglycemia.”
    Quote in the paperSubstantial claim
  • May combine two claims.

    Findingown data

    At 60-minute post-occlusion alarm, rising glucose had been reversed in the lower TDD group and stabilized in the higher TDD group.

    “At 60-minute post-occlusion alarm, rising glucose had been reversed in the lower TDD group and stabilized in the higher TDD group.”
    Quote in the paperSubstantial claim
  • May combine two claims.

    Findingown data

    Occlusion alarms were generated within 30 min of rising glucose, with consistent detection across participants with varying insulin requirements.

    “Our results showed that occlusion alarms were generated within 30 min of rising glucose, with consistent detection across participants with varying insulin requirements.”
    Quote in the paperSubstantial claim
  • May combine two claims.

    Findingown data

    Time spent at <54 mg/dL was 0.3%, well below the recommended <1%.

    “the time spent at <54 mg/dL (0.3%) was well below the recommended <1%.”
    Quote in the paperSubstantial claim
  • May combine two claims.

    Interpretationreasoning

    The structured training and support provided during the study may not reflect real-world initiation, potentially affecting usability and safety outcomes.

    “Moreover, recruitment from an existing clinic population with higher technology literacy and engagement may bias results toward favorable outcomes, and the structured training and support provided during the study may not reflect real-world initiation, potentially affecting usability and safety outcomes.”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Study design and conductnone given

    The study incorporated CGM-based glycemic assessments using internationally recognized metrics, enabling comparison with established performance targets and other commercially available AID systems.

    “The study incorporated CGM-based glycemic assessments using internationally recognized metrics, enabling comparison with established performance targets and other commercially available AID systems.”
    Quote in the paperSubstantial claim
  • May combine two claims.

    Interpretationown data

    The high study completion rate and absence of severe hypoglycemia, diabetic ketoacidosis, or other serious adverse events support feasibility and tolerability of the system during early adoption.

    “The high study completion rate and absence of severe hypoglycemia, DKA, or other serious adverse events further support the feasibility and tolerability of the system during early adoption.”
    Quote in the paperSubstantial claim
  • Classified as probably not a substantial claim.

    Study design and conductreasoning

    To minimize confounding, occlusion notifications with carbohydrate entry or insulin bolus within 3 hours before or 1 hour after the alarm were excluded.

    “To minimize confounding factors of meals and boluses, occlusion notifications with either a carbohydrate entry or insulin bolus delivery occurring within 3 hours before or 1 hour after the alarm were excluded.”
    Quote in the paperSubstantial claim
  • May combine two claims.

    Study design and conductnone given

    The short study duration does not allow for assessment of long-term glycemic effects, device adherence, or durability of usability outcomes.

    “The single-arm, non-comparative methodology precludes direct attribution of observed improvements to the twiist AID System, and the short study duration does not allow for assessment of long-term glycemic effects, device adherence, or durability of usability outcomes.”
    Quote in the paperSubstantial claim
  • May combine two claims.

    Premisecitation

    Alarm systems are often inadequate; 66.3% of users detected infusion set failures through hyperglycemic symptoms, while only 25% were alerted by pump alarms.

    “Alarm systems are often inadequate, as evidenced by a survey where 66.3% of users detected infusion set failures through hyperglycemic symptoms, while only 25% were alerted by pump alarms.24”
    Quote in the paperSubstantial claim0 of 1 sources checked
    • cites [24] Wilcox, 2021, 696-P: Insulin Pump Infusion Set Failure (IPISF) Management: T1D Exchange Survey, Diabetes source
  • Probably not a substantial claim: may not pass S4 (based). May combine two claims.

    Premisenone given

    Stable glucose levels during the 60- to 30-minute period before an occlusion alarm suggest continued insulin delivery, whereas rising glucose levels before the alarm suggest interrupted insulin delivery.

    “Stable glucose levels during the period between 60- to 30-minute period minute preceding occlusion alarms would suggest continued insulin delivery, whereas rising glucose levels before the alarm would suggest that insulin delivery had been interrupted .”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Interpretationown data

    The study provides early evidence regarding the system's safety, usability, and glycemic performance in a real-world clinical setting.

    “First, it represents the first clinical evaluation of the twiist AID System in adults with type 1 diabetes, providing early evidence regarding the system’s safety, usability, and glycemic performance in a real-world clinical setting.”
    Quote in the paperSubstantial claim
    • Rests on an assumption: The twiist AID System had not previously been clinically evaluated in adults with type 1 diabetes.
  • May combine two claims.

    Interpretationown data

    Safety was demonstrated with no serious adverse events despite a lower correction range with a midpoint of ≤100 mg/dL.

    “Importantly, safety was demonstrated with no serious adverse events during the course of the study despite a lower correction range with a midpoint of ≤100 mg/dL; the time spent at <54 mg/dL (0.3%) was well below the recommended <1%.”
    Quote in the paperSubstantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Study design and conductown data

    The effect of basal rates on occlusion detection was indirectly assessed by comparing occlusion events among participants with above median total daily insulin delivery versus below median total daily insulin delivery.

    “The effect of basal rates on occlusion detection was indirectly assessed by comparing occlusion events among participants with higher basal rates represented by above median TDD versus those with lower rates (below the median TDD).”
    Quote in the paperNot a substantial claim
  • Classified as probably not a substantial claim.

    Study design and conductnone given

    Safety was assessed through monitoring of adverse events, device issues, and prespecified glycemic safety endpoints.

    “Safety was assessed through monitoring of adverse events, device issues, and prespecified glycemic safety endpoints at study visits and as needed.”
    Quote in the paperSubstantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Study design and conductnone given

    All participants provided signed informed consent.

    “All participants provided signed informed consent.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Study design and conductnone given

    The prespecified statistical analyses were performed for all participants who entered the study.

    “The prespecified statistical analyses were performed for all participants who entered the study.”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Premisenone given

    Percent time above range >250 mg/dL is influenced by interruptions in insulin delivery and by postprandial glucose excursions, initial device settings, and user acclimation during early system adoption.

    “The observed %TAR (>250 mg/dL) should be interpreted in the context of several study-specific factors unrelated to occlusion detection performance. %TAR is influenced by interruptions in insulin delivery and by postprandial glucose excursions, initial device settings, and user acclimation during early system adoption.”
    Quote in the paperSubstantial claim
25 of 25
  • The paper relies on this without support.

    The twiist AID System had not previously been clinically evaluated in adults with type 1 diabetes.

    “The twiist AID System uses direct insulin volume-sensing technology, although its clinical performance had not previously been studied.”
    “This study marks the first clinical evaluation of the twiist System and first-time use among participants who were concurrently adjusting to new workflows, insulin settings, and meal handling behaviors, all of which are known to transiently increase postprandial hyperglycemia during early AID initiation.”
  • The paper relies on this without support.

    The twiist system directly measures insulin volume using acoustic volume-sensing technology.

    “The system uses acoustic volume-sensing technology (iiSure) to directly measure the volume of insulin delivered with each individual microdose.”
2 of 2

Cites

Flagged first, then by citations

Research works printed but not linked: 1

  1. Wilcox, 2021, 696-P: Insulin Pump Infusion Set Failure (IPISF) Management: T1D Exchange Survey, Diabetes, 70, 10.2337/db21-696-P · DOI · Paper page

Authors
Ruiz, A., Mcdonough, A., Snow, K., Bode, B., & Mitri, J.
Affiliations
  • Atlanta Diabetes Associates (US)
  • Sequel Med Tech LLC, Manchester, New Hampshire, USA
Venue
BMJ Open Diabetes Research & Care
Publisher
BMJ
Published
2026-07
Volume
14
Issue
4
Pages
e006307
ISSN
2052-4897 (ISSN-L)
OpenAlex
W7170794014
Cited by
0
References
23
FWCI
0.00
Type
journal article
Language
en
Open access
Locations
  • BMJ Open Diabetes Research & Care (publishedVersion, cc-by-nc)
  • PubMed (publishedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
  • PubMed Central (submittedVersion, cc-by-nc)
Funders
Sequel Med Tech (N/A)
Topics
  • Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Management and Research
  • Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Management and Education
  • Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Treatment and Management
Keywords
artificial pancreas, type 1 diabetes, continuous glucose monitoring, time in range, occlusion detection, HbA1c, total daily insulin dose, hypoglycemia, glycemic control
MeSH terms
Glycemic Control, Continuous Glucose Monitoring, Adult, Blood Glucose, Diabetes Mellitus, Type 1, Female, Follow-Up Studies, Glycated Hemoglobin, Humans, Hypoglycemia, Hypoglycemic Agents, Insulin, Insulin Infusion Systems, Male, Middle Aged, Prognosis, Prospective Studies, Blood Glucose Self-Monitoring, Biomarkers

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