Diabetes technology

A retrospective observational study evaluating the safety and effectiveness of commercially available automated insulin delivery systems in people with type 1 diabetes and gastroparesis

Diabetes Obes MetabPublished Retrospective cohort study

Authors' conclusion

Within a specialist multidisciplinary team setting, HCL systems significantly reduce HbA1c without increasing risk of severe hypoglycaemia or DKA in people with type 1 diabetes and gastroparesis.

Study context

Population
Adults with T1D and gastroparesis using continuous glucose monitoring (CGM), King's College Hospital diabetes service, 5 October 2023 to 16 January 202517 initiated HCL
Participants
36 adults
Exposure
HCL vs non-HCL
  • HCLn = 17
Outcome
HbA1c post-HCL vs baseline (HCL)
Follow-up
12 months pre- and post-HCL initiation
Methodological detailsobservational, real-world, single-centre
  • Observational
  • Real-world
  • Single-centre

Main finding

As reported in the abstract

Baseline HbA1c in HCL, mean (SD)
70(21)mmol/mol [8.6(1.9)%]
Post-HCL HbA1c, median (IQR)
57(52.5-65.0) mmol/mol [7.4(7.0-8.1)%]
Change pre- to post-HCL
p < 0.001

Observational data: associations, not effects.

Further findings

OutcomeHCLnon-HCLP value
Baseline characteristics and metricsComparable baseline characteristics and metricsMean 70 (SD 21) mmol/mol71 (SD 25) mmol/molP = 0.73
HbA1c %8.6(1.9)%8.6(2.3)%
TIR36.8 (21.9) %37.1(19.2)%

Time in range (TIR) post-HCL

TIR increased to (mean (SD))
55.7(19.9)%
P
P < 0.001

TAR Level 2 (>13.9 mmol/L/>250 mg/dL) post-HCL

Significant reduction
32.7% to 14.5%
P
P = 0.014

Hypoglycaemia awareness (Gold score) post-HCL

Improved
2.5 to 1.5
P
P = 0.019

Diabetes distress (DDS2)

DDS2 remained unchanged

Safety

No increase in DKA or severe hypoglycaemia occurred

Original publication

A retrospective observational study evaluating the safety and effectiveness of commercially available automated insulin delivery systems in people with type 1 diabetes and gastroparesis. Diabetes Obes Metab. Published 19 February 2026. doi:10.1111/dom.70575

Composed by AI from the published abstract and checked against it. How Briefs are made →

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