Abstract:With the recent pivot to telehealth as a direct result of the COVID-19 pandemic, there is an imperative to ensure that access to affordable devices and technologies with remote monitoring capabilities for people with diabetes becomes equitable. In addition, expanding the use of remote Diabetes Self-Management Education and Support (DSMES) and Medical Nutrition Therapy (MNT) services will require new strategies for achieving long-term, effective, continuous, data-driven care. The current COVID-19 pandemic has e… Show more
“…We have shown recently that the use of wearable technologies is both feasible and acceptable for this population [14]. To date, studies of CGM have overwhelmingly included White participants with T1D, with health insurance and high levels of education [41]. Also, recent data suggest that race and ethnicity may be independent factors influencing glycemic outcomes and the risk of complications associated with subgroups of adults with T2D [42].…”
Background
Continuous glucose monitoring (CGM) has demonstrable benefits for people living with diabetes, but the supporting evidence is almost exclusively from White individuals with type 1 diabetes. Here, we have quantified CGM profiles in Hispanic/Latino adults with or at-risk of non-insulin treated type 2 diabetes (T2D).
Methods
100 participants (79 female, 86% Hispanic/Latino [predominantly Mexican], age 54·6 [±12·0] years) stratified into (i) at risk of T2D, (ii) with pre-diabetes (pre-T2D), and (iii) with non-insulin treated T2D, wore blinded CGMs for 2 weeks. Beyond standardized CGM measures (average glucose, glucose variability, time in 70–140 mg/dL and 70–180 mg/dL ranges), we also examined additional CGM measures based on the time of day.
Findings
Standardized CGM measures were significantly different for participants with T2D compared to at-risk and pre-T2D participants (
p
<0·0001). In addition, pre-T2D participants spent more time between 140 and 180 mg/dL during the day than at-risk participants (
p
<0·01). T2D participants spent more time between 140 and 180 mg/dL both during the day and overnight compared to at-risk and pre-T2D participants (both
p
<0·0001). Time in 70–140 mg/dL range during the day was significantly correlated with HbA
1c
(
r
=-0·72,
p
<0·0001), after adjusting for age, sex, BMI, and waist circumference (
p
<0·0001).
Interpretation
Standardized CGM measures show a progression of dysglycemia from at-risk of T2D, to pre-T2D, and to T2D. Stratifying CGM readings by time of day and the range 140–180 mg/dL provides additional metrics to differentiate between the groups.
Funding
US Department of Agriculture (Grant #2018-33800-28404) and NSF PATHS-UP ERC (Award #1648451).
“…We have shown recently that the use of wearable technologies is both feasible and acceptable for this population [14]. To date, studies of CGM have overwhelmingly included White participants with T1D, with health insurance and high levels of education [41]. Also, recent data suggest that race and ethnicity may be independent factors influencing glycemic outcomes and the risk of complications associated with subgroups of adults with T2D [42].…”
Background
Continuous glucose monitoring (CGM) has demonstrable benefits for people living with diabetes, but the supporting evidence is almost exclusively from White individuals with type 1 diabetes. Here, we have quantified CGM profiles in Hispanic/Latino adults with or at-risk of non-insulin treated type 2 diabetes (T2D).
Methods
100 participants (79 female, 86% Hispanic/Latino [predominantly Mexican], age 54·6 [±12·0] years) stratified into (i) at risk of T2D, (ii) with pre-diabetes (pre-T2D), and (iii) with non-insulin treated T2D, wore blinded CGMs for 2 weeks. Beyond standardized CGM measures (average glucose, glucose variability, time in 70–140 mg/dL and 70–180 mg/dL ranges), we also examined additional CGM measures based on the time of day.
Findings
Standardized CGM measures were significantly different for participants with T2D compared to at-risk and pre-T2D participants (
p
<0·0001). In addition, pre-T2D participants spent more time between 140 and 180 mg/dL during the day than at-risk participants (
p
<0·01). T2D participants spent more time between 140 and 180 mg/dL both during the day and overnight compared to at-risk and pre-T2D participants (both
p
<0·0001). Time in 70–140 mg/dL range during the day was significantly correlated with HbA
1c
(
r
=-0·72,
p
<0·0001), after adjusting for age, sex, BMI, and waist circumference (
p
<0·0001).
Interpretation
Standardized CGM measures show a progression of dysglycemia from at-risk of T2D, to pre-T2D, and to T2D. Stratifying CGM readings by time of day and the range 140–180 mg/dL provides additional metrics to differentiate between the groups.
Funding
US Department of Agriculture (Grant #2018-33800-28404) and NSF PATHS-UP ERC (Award #1648451).
“…Diabetes education is sometimes being omitted, which is critical to engaging patients and improving outcomes, particularly among patients with limited health literacy. 83 Additionally, in the United States, 1 in 4 Medicare beneficiaries lack digital access. 84 The disparities go deeper than that in diabetes; even though people of color shoulder a disproportionate burden of disease, they are a tiny proportion of patients who are included in the research and development process, and few of the clinicians that care for them are themselves from underserved communities.…”
Section: Levels Of Complexity and Reward From Digital Healthmentioning
Diabetes Technology Society hosted its annual Diabetes Technology Meeting on November 12 to November 14, 2020. This meeting brought together speakers to cover various perspectives about the field of diabetes technology. The meeting topics included artificial intelligence, digital health, telemedicine, glucose monitoring, regulatory trends, metrics for expressing glycemia, pharmaceuticals, automated insulin delivery systems, novel insulins, metrics for diabetes monitoring, and discriminatory aspects of diabetes technology. A live demonstration was presented.
“…3 Further, access to diabetes technology in the U.S. is also influenced significantly by race and ethnicity as well as social deprivation status. 4 To understand data derived from CGM profiles, a variety of metrics have been suggested. Average glucose and glucose variability measured over two weeks of CGM use provide an overall picture of glycemia in individuals.…”
Background There is minimal experience in continuous glucose monitoring (CGM) among underserved racial/ethnic minority populations with or at risk of type 2 diabetes (T2D), and therefore a lack of CGM-driven insight for these individuals. We analyzed breakfast-related CGM profiles of free-living, predominantly Hispanic/Latino individuals at-risk of T2D, with pre-T2D, or with non-insulin treated T2D.Methods Starting February 2019, 119 participants in Santa Barbara, CA, USA, (93 female, 87% Hispanic/Latino [predominantly Mexican-American], age 54¢4 [ §12¢1] years), stratified by HbA 1c levels into (i) at-risk of T2D, (ii) with pre-T2D, and (iii) with non-insulin treated T2D, wore blinded CGMs for two weeks. We compared valid CGM profiles from 106 of these participants representing glucose response to breakfast using four parameters.Findings A "northeast drift" was observed in breakfast glucose responses comparing at-risk to pre-T2D to T2D participants. T2D participants had a significantly higher pre-breakfast glucose level, glucose rise, glucose incremental area under the curve (all p < 0¢0001), and time to glucose peak (p < 0¢05) compared to pre-T2D and at-risk participants. After adjusting for demographic and clinical covariates, pre-breakfast glucose and time to peak (p < 0¢0001) were significantly associated with HbA 1c . The model predicted HbA 1c within (0¢55 § 0¢67)% of true laboratory HbA 1c values.Interpretation For predominantly Hispanic/Latino adults, the average two-week breakfast glucose response shows a progression of dysglycemia from at-risk of T2D to pre-T2D to T2D. CGM-based breakfast metrics have the potential to predict HbA 1c levels and monitor diabetes progression.
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