Publications by authors named "Maahs D"

Background: Youth with type 1 diabetes (T1D) and public insurance have lower diabetes technology use. This pilot study assessed the feasibility of a program to support continuous glucose monitor (CGM) use with remote patient monitoring (RPM) to improve glycemia for youth with established T1D and public insurance.

Methods: From August 2020 to June 2023, we provided CGM with RPM support via patient portal messaging for youth with established T1D on public insurance with challenges obtaining consistent CGM supplies.

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of what is New or Different 1. This chapter recommends a target HbA1c of ≤6.5% (48mmol/mol) for those who have access to advanced diabetes technologies like continuous glucose monitoring (CGM) and automated insulin delivery (AID).

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Objective: The Project Extension for Community Healthcare Outcomes (ECHO) model is used in 180 countries to address chronic disease care through a provider empowerment, tele-education approach. Few studies have rigorously evaluated the impact of the program on patient outcomes using randomized designs.

Research Design And Methods: Implementation of an ECHO Diabetes program was evaluated using a stepped-wedge design with recruitment of 20 federally qualified health centers (FQHCs) across California and Florida with randomized, phased-in intervention entry.

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Background: Advances in paediatric type 1 diabetes management and increased use of diabetes technology have led to improvements in glycaemia, reduced risk of severe hypoglycaemia, and improved quality of life. Since 1993, progressively lower HbA targets have been set. The aim of this study was to perform a longitudinal analysis of HbA, treatment regimens, and acute complications between 2013 and 2022 using data from eight national and one international paediatric diabetes registries.

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Aims: Psychosocial impacts of early continuous glucose monitoring (CGM) initiation in youth soon after type 1 diabetes diagnosis are underexplored. We report parent/guardian and youth patient-reported outcomes (PROs) that measure psychosocial states for families in 4T Study 1.

Materials And Methods: Of the 133 families in the 4T Study 1, 132 parent/guardian and 66 youth (≥11 years) were eligible to complete PROs.

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Digital decision support and remote patient monitoring may improve outcomes and efficiency, but rarely scale beyond a single institution. Over the last 5 years, the platform Timely Interventions for Diabetes Excellence (TIDE) has been associated with reduced care provider screen time and improved, equitable type 1 diabetes care and outcomes for 268 patients in a heterogeneous population as part of the Teamwork, Targets, Technology, and Tight Control (4T) Study (NCT03968055, NCT04336969). Previous efforts to deploy TIDE at other institutions continue to face delays.

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Introduction: To address disparities in clinical research, we present strategies to optimize recruitment of underrepresented families into the Building the Evidence to Address Disparities in Type 1 Diabetes (BEAD-T1D) study.

Methods: A bilingual/bicultural Latino research assistant (RA) was hired to facilitate culturally congruent recruitment for pediatric type 1 diabetes families. The RA screened, approached, and consented families using their preferred language, time of contact, and answered personal concerns around research.

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Article Synopsis
  • The COVID-19 pandemic led to significant lifestyle changes, prompting this study to analyze trends in body mass index (BMI) among individuals with type 1 diabetes across three international registries from 2018 to 2021.
  • Data collected from registries in Germany/Austria/Luxembourg/Switzerland, the USA, and Australia/New Zealand showed a consistent rise in BMI SDS for children and adolescents in one registry, while changes varied in others.
  • Nearly 50% of participants were found to be overweight or obese, with an increase in prevalence of obesity among younger children during the pandemic years.
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Introduction: Diabetes disparities exist based on socioeconomic status, race, and ethnicity. The aim of this study is to compare two cohorts with diabetes from California and Florida to better elucidate how health outcomes are stratified within underserved communities according to state location, race, and ethnicity.

Research Design And Methods: Two cohorts were recruited for comparison from 20 Federally Qualified Health Centers as part of a larger ECHO Diabetes program.

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Introduction: Since its inception in 2003, the Project Extension for Community Healthcare Outcomes (ECHO) tele-education model has reached and improved outcomes for patients, providers, and health centers through interventions in >180 countries. Utilization of this model has recently increased due to the COVID-19 pandemic and a higher demand for remote education. However, limited research has examined the methodologies used to evaluate Project ECHO interventions.

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Aims: Continuous glucose monitoring (CGM) systems are standard of care for youth with type 1 diabetes with the goal of spending >70% time in range (TIR; 70-180 mg/dL, 3.9-10 mmol/L). We aimed to understand paediatric CGM user experiences with TIR metrics considering recent discussion of shifting to time in tight range (TITR; >50% time between 70 and 140 mg/dL, 3.

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Human regulatory T cells (Treg) suppress other immune cells. Their dysfunction contributes to the pathophysiology of autoimmune diseases, including type 1 diabetes (T1D). Infusion of Tregs is being clinically evaluated as a novel way to prevent or treat T1D.

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Given the proven benefits of screening to reduce diabetic ketoacidosis (DKA) likelihood at the time of stage 3 type 1 diabetes diagnosis, and emerging availability of therapy to delay disease progression, type 1 diabetes screening programs are being increasingly emphasized. Once broadly implemented, screening initiatives will identify significant numbers of islet autoantibody-positive (IAb+) children and adults who are at risk for (confirmed single IAb+) or living with (multiple IAb+) early-stage (stage 1 and stage 2) type 1 diabetes. These individuals will need monitoring for disease progression; much of this care will happen in nonspecialized settings.

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Given the proven benefits of screening to reduce diabetic ketoacidosis (DKA) likelihood at the time of stage 3 type 1 diabetes diagnosis, and emerging availability of therapy to delay disease progression, type 1 diabetes screening programmes are being increasingly emphasised. Once broadly implemented, screening initiatives will identify significant numbers of islet autoantibody-positive (IAb) children and adults who are at risk of (confirmed single IAb) or living with (multiple IAb) early-stage (stage 1 and stage 2) type 1 diabetes. These individuals will need monitoring for disease progression; much of this care will happen in non-specialised settings.

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Background/objectives: Type 1 diabetes (T1D) is associated with an increase in resting metabolic rate (RMR), but the impact of T1D on other components of 24-h energy expenditure (24-h EE) is not known. Also, there is a lack of equations to estimate 24-h EE in patients with T1D. The aims of this analysis were to compare 24-h EE and its components in young adults with T1D and healthy controls across the spectrum of body mass index (BMI) and derive T1D-specific equations from clinical variables.

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Article Synopsis
  • A study found that very few young people with type 1 diabetes (T1D) achieve recommended glucose levels, but continuous glucose monitoring (CGM) can help despite inequitable access.
  • The 4T Study 1 program was designed to improve glycemia in newly diagnosed youth by using early CGM, remote monitoring, and targeting tighter glucose goals (HbA1c < 7%).
  • Results showed that after one year, participants had a mean HbA1c of 6.58% with 64% meeting the target, demonstrating effective care without serious issues, and suggesting these strategies could benefit other chronic conditions.
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Background: People with diabetes have higher COVID-19 morbidity and mortality. These risks are amplified for underserved communities including racial/ethnic minorities and people with lower socioeconomic status. However, limited research has examined COVID-19 outcomes specifically affecting underserved communities with diabetes.

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