Effect of an Integrated, Multidisciplinary Nationwide Approach to Type 1 Diabetes Care on Metabolic Outcomes: An Observational Real-World Study.
Astrid LavensFrank NobelsChristophe De BlockPhilippe OriotAnn VerhaegenSuchsia ChaoKristina CasteelsThierry MourauxKris DoggenChantal Mathieunull nullPublished in: Diabetes technology & therapeutics (2021)
Objective: Achieving good metabolic control in people with type 1 diabetes (T1D) remains a challenge, despite the evolutions in diabetes technologies over the past decade. Here we investigate the evolution of metabolic control in people with T1D, where care is provided by specialized centers with access to technology, diabetes education, and regular follow-up. Methods: Data were cross-sectionally collected between 2010 and 2018 from more than 100 centers in Belgium. The evolutions over time of hemoglobin A1C (HbA1c), low-density lipoprotein (LDL) cholesterol, and systolic blood pressure (SBP) were investigated, together with the evolutions of use of insulin pump (continuous subcutaneous insulin infusion [CSII]), continuous glucose monitoring (CGM), and lipid-lowering and antihypertensive drugs. Association of HbA1c with gender, age, diabetes duration, and technology use was analyzed on the most recent cohort. Results: The study population contained data from 89,834 people with T1D (age 1-80 years). Mean HbA1c decreased from 65 mmol/mol (8.1%) in 2010-2011 to 61 mmol/mol (7.7%) in 2017-2018 (P < 0.0001, adjusted for gender, age, diabetes duration, and technology use). Respectively, mean LDL cholesterol decreased from 2.45 mmol/L (94.6 mg/dL) to 2.29 mmol/L (88.5 mg/dL) (P < 0.0001, adjusted for gender, age, and diabetes duration), and mean SBP remained stable. CGM usage increased, whereas the use of CSII and lipid-lowering and antihypertensive drugs remained stable. Gender, age, diabetes duration, and technology use were independently associated with HbA1c. Conclusions: Our real-world data show that metabolic and lipid control improved over time in a system where T1D care is organized through specialized multidisciplinary centers with emphasis on linking education to provision of technology, and its quality is monitored.
Keyphrases
- type diabetes
- glycemic control
- blood pressure
- low density lipoprotein
- quality improvement
- cardiovascular disease
- palliative care
- healthcare
- mental health
- blood glucose
- electronic health record
- insulin resistance
- weight loss
- low dose
- hypertensive patients
- skeletal muscle
- big data
- cross sectional
- heart rate
- left ventricular
- single molecule
- pain management
- mass spectrometry
- high resolution
- red blood cell
- machine learning
- drug induced
- atomic force microscopy