Glycemic control level alters working memory neural dynamics in adults with type 2 diabetes.

Poor glycemic control in type 2 diabetes has been associated with accentuated age-related cognitive decline, although the underlying neural mechanisms are not well understood. The current study sought to identify the impact of glycemic control on the neural dynamics serving working memory in adults with type 2 diabetes. Participants (n = 34, ages = 55-73) performed a working memory task while undergoing MEG. Significant neural responses were examined relative to poorer (A1c > 7.0%) or tighter glycemic control (A1c < 7.0%). Those with poorer glycemic control showed diminished responses within left temporal and prefrontal regions during encoding and showed diminished responses within right occipital cortex during maintenance but showed an enhanced activity in the left temporal, occipital, and cerebellar regions during maintenance. Notably, left temporal activity in encoding and left lateral occipital activity in maintenance significantly predicted performance on the task such that diminished temporal activity led to longer reaction times, which were driven by the poorer glycemic control group. Greater lateral occipital activity during maintenance was associated with both lower accuracy and longer reaction times across all participants. These findings suggest that glycemic control has a robust impact on the neural dynamics serving working memory, with distinct effects by subprocess (e.g. encoding vs. maintenance) and direct effects on behavior.

Glycemic Management of Hospitalized Patients Receiving Nutrition Support.

Enteral nutrition (EN) and parenteral nutrition (PN) increase the risk of hyperglycemia and adverse outcomes, including mortality, in patients with and without diabetes. A blood glucose target range of 140-180 mg/dL is recommended for hospitalized patients receiving artificial nutrition. Using a diabetes-specific EN formula, lowering the dextrose content, and using a hypocaloric PN formula have all been shown to prevent hyperglycemia and associated adverse outcomes. Insulin, given either subcutaneously or as a continuous infusion, is the mainstay of treatment for hyperglycemia. However, no subcutaneous insulin regimen has been shown to be superior to others. This review summarizes the evidence on and provides recommendations for the treatment of EN- and PN-associated hyperglycemia and offers strategies for hypoglycemia prevention. The authors also highlight their institution's protocol for the safe use of insulin in the PN bag. Randomized controlled trials evaluating safety and efficacy of targeted insulin therapy synchronized with different types of EN or PN delivery are needed.

Patient-Centered Diabetes Care of Cancer Patients.

PURPOSE OF REVIEW: There is a bidirectional relationship between cancer and diabetes, with one condition influencing the prognosis of the other. Multiple cancer therapies cause diabetes including well-established medications such as glucocorticoids and novel cancer therapies such as immune checkpoint inhibitors (CPIs) and phosphoinositide 3-kinase (PI3K) inhibitors. RECENT FINDINGS: The nature and severity of diabetes caused by each therapy differ, with some predominantly mediated by insulin resistance, such as PI3K inhibitors and glucocorticoids, while others by insulin deficiency, such as CPIs. Studies have demonstrated diabetes from CPIs to be more rapidly progressing than conventional type 1 diabetes. There remains a scarcity of published guidance for the screening, diagnosis, and management of hyperglycemia and diabetes from these therapies. The need for such guidance is critical because diabetes management in the cancer patient is complex, individualized, and requires inter-disciplinary care. In the present narrative review, we synthesize and summarize the most relevant literature pertaining to diabetes and hyperglycemia in the setting of these cancer therapies and provide an updated patient-centered framework for their evaluation and management.

The Association of Diabetes and Hyperglycemia on Inpatient Readmissions.

OBJECTIVE: To evaluate the association between inpatient glycemic control and readmission in individuals with diabetes and hyperglycemia (DM/HG). METHODS: Two data sets were analyzed from fiscal years 2011 to 2013: hospital data using the International Classification of Diseases, Ninth Revision (ICD-9) codes for DM/HG and point of care (POC) glucose monitoring. The variables analyzed included gender, age, mean, minimum and maximum glucose, along with 4 measures of glycemic variability (GV), standard deviation, coefficient of variation, mean amplitude of glucose excursions, and average daily risk range. RESULTS: Of 66 518 discharges in FY 2011-2013, 28.4% had DM/HG based on ICD-9 codes and 53% received POC monitoring. The overall readmission rate was 13.9%, although the rates for individuals with DM/HG were higher at 18.9% and 20.6% using ICD-9 codes and POC data, respectively. The readmitted group had higher mean glucose (169 ± 47 mg/dL vs 158 ± 46 mg/dL, P < .001). Individuals with severe hypoglycemia and hyperglycemia had the highest readmission rates. All 4 GV measures were consistent and higher in the readmitted group. CONCLUSION: Individuals with DM/HG have higher 30-day readmission rates than those without. Those readmitted had higher mean glucose, more extreme glucose values, and higher GV. To our knowledge, this is the first report of multiple metrics of inpatient glycemic control, including GV, and their associations with readmission.

Effect of Behavioral Therapy With In-Clinic or Telephone Group Visits vs In-Clinic Individual Visits on Weight Loss Among Patients With Obesity in Rural Clinical Practice: A Randomized Clinical Trial.

Importance: Rural populations have a higher prevalence of obesity and poor access to weight loss programs. Effective models for treating obesity in rural clinical practice are needed. Objective: To compare the Medicare Intensive Behavioral Therapy for Obesity fee-for-service model with 2 alternatives: in-clinic group visits based on a patient-centered medical home model and telephone-based group visits based on a disease management model. Design, Setting, and Participants: Cluster randomized trial conducted in 36 primary care practices in the rural Midwestern US. Inclusion criteria included age 20 to 75 years and body mass index of 30 to 45. Participants were enrolled from February 2016 to October 2017. Final follow-up occurred in December 2019. Interventions: All participants received a lifestyle intervention focused on diet, physical activity, and behavior change strategies. In the fee-for-service intervention (n = 473), practice-employed clinicians provided 15-minute in-clinic individual visits at a frequency similar to that reimbursed by Medicare (weekly for 1 month, biweekly for 5 months, and monthly thereafter). In the in-clinic group intervention (n = 468), practice-employed clinicians delivered group visits that were weekly for 3 months, biweekly for 3 months, and monthly thereafter. In the telephone group intervention (n = 466), patients received the same intervention as the in-clinic group intervention, but sessions were delivered remotely via conference calls by centralized staff. Main Outcomes and Measures: The primary outcome was weight change at 24 months. A minimum clinically important difference was defined as 2.75 kg. Results: Among 1407 participants (mean age, 54.7 [SD, 11.8] years; baseline body mass index, 36.7 [SD, 4.0]; 1081 [77%] women), 1220 (87%) completed the trial. Mean weight loss at 24 months was -4.4 kg (95% CI, -5.5 to -3.4 kg) in the in-clinic group intervention, -3.9 kg (95% CI, -5.0 to -2.9 kg) in the telephone group intervention, and -2.6 kg (95% CI, -3.6 to -1.5 kg) in the in-clinic individual intervention. Compared with the in-clinic individual intervention, the mean difference in weight change was -1.9 kg (97.5% CI, -3.5 to -0.2 kg; P = .01) for the in-clinic group intervention and -1.4 kg (97.5% CI, -3.0 to 0.3 kg; P = .06) for the telephone group intervention. Conclusions and Relevance: Among patients with obesity in rural primary care clinics, in-clinic group visits but not telephone-based group visits, compared with in-clinic individual visits, resulted in statistically significantly greater weight loss at 24 months. However, the differences were small in magnitude and of uncertain clinical importance. Trial Registration: ClinicalTrials.gov Identifier: NCT02456636.

The impact of type 1 diabetes on neural activity serving attention.

Type 1 diabetes has been associated with alterations in attentional processing and other cognitive functions, and previous studies have found alterations in both brain structure and function in affected patients. However, these previous neuroimaging studies have generally examined older patients, particularly those with major comorbidities known to affect functioning independent of diabetes. The primary aim of the current study was to examine the neural dynamics of selective attention processing in a young group of patients with type 1 diabetes who were otherwise healthy (i.e., without major comorbidities). Our hypothesis was that these patients would exhibit significant aberrations in attention circuitry relative to closely matched controls. The final sample included 69 participants age 19-35 years old, 35 with type 1 diabetes and 34 matched nondiabetic controls, who completed an Eriksen flanker task while undergoing magnetoencephalography. Significant group differences in flanker interference activity were found across a network of brain regions, including the anterior cingulate, inferior parietal cortices, paracentral lobule, and the left precentral gyrus. In addition, neural activity in the anterior cingulate and the paracentral lobule was correlated with disease duration in patients with type 1 diabetes. These findings suggest that alterations in the neural circuitry underlying selective attention emerge early in the disease process and are specifically related to type 1 diabetes and not common comorbidities. These findings highlight the need for longitudinal studies in large cohorts to clarify the clinical implications of type 1 diabetes on cognition and the brain.

Has Technology Improved Diabetes Management in Relation to Age, Gender, and Ethnicity?

PURPOSE OF REVIEW: To review the current state of diabetes technology adoption and describe impact on outcomes in the context of age, gender, and ethnicity. We will discuss barriers and propose solutions that may help facilitate the adoption. RECENT FINDINGS: We are witnessing rapid evolution and increase in adoption of diabetes technology in all its forms, including insulin delivery and glucose monitoring devices, mobile medical applications, and telemedicine. This technology has a great potential to improve diabetes-related outcomes, including acute and chronic complications as well as quality of life for people living with diabetes. However, currently available outcome data are showing modest efficacy and evidence for disparities when it comes to age, gender, and ethnicity. Despite multiple barriers, the adoption of technology is steadily increasing. It is clear that disparities exist in terms of access to and use of technology, but they may be at least in part driven by unmet needs of end users and as such are not unsurmountable. While more research is needed to identify the specific causes for the disparities, future development of diabetes technology that is based on adaptation of behavioral theories has a potential to address the gaps. The disparities can be lessened by understanding the needs of end users and with improvement in personalization of technology, allowing the right device to be used by the right patient. Targeted interventions to increase awareness and education and help navigate the processes involved in currently available technology may help diminish the gaps in health equity.

App-Based Insulin Calculators: Current and Future State.

PURPOSE OF REVIEW: To perform a comprehensive literature review and critical assessment of peer-reviewed manuscripts addressing the efficacy, safety, or usability of insulin calculator apps. RECENT FINDINGS: Managing diabetes with insulin can be complex, and literacy and numeracy skills pose barriers to manual insulin dose calculations. App-based insulin calculators are promising tools to help people with diabetes administer insulin safely and have potential to improve glycemic control. While a large number of apps which assist with insulin dosing are available, there is limited data evaluating their efficacy, safety, and usability. Recently, a need for regulatory oversight has been recognized, but few apps meet federal standards. Thus, choosing an appropriate app is challenging for both patients and providers. An electronic literature review was performed to identify insulin calculator apps with either evidence for efficacy, safety or usability published in peer-reviewed literature or with FDA/CE approval. Twenty apps were identified intended for use by patients with diabetes on insulin. Of these, nine included insulin calculators. Summaries of each app, including pros and cons, are provided. Insulin-calculator apps have the potential to improve self-management of diabetes. While current literature demonstrates improvements in quality of life and glycemic control after use of these programs, larger trials are needed to collect outcome and safety data. Also, further human factor analysis is needed to assure these apps will be adopted appropriately by people with diabetes. App features including efficacy and safety data need to be easily available for consumer review and decision making. Higher standards need to be set for app developers to ensure safety and efficacy.

Common Models Used for Inpatient Diabetes Management.

PURPOSE OF REVIEW: Diabetes affects about a third of all hospitalized patients and up to 50% of inpatients go on to experience hyperglycemia. Despite strong evidence supporting the importance of adequate glycemic control, as well detailed guidelines from major national organizations, many patients continue to have hypo- and hyperglycemia during their hospital stay. While this may be partially related to provider and patient-specific factors, system-based barriers continue to pose a major obstacle. Therefore, there is a need to go beyond merely discussing specific insulin protocols and provide guidance for effective models of care in the acute glycemic management of hospitalized patients. RECENT FINDINGS: To date, there is limited data evaluating the various models of care for inpatient diabetes management in terms of efficacy or cost, and there is no summary on this topic guiding physicians and hospital administrators. In this paper, four common models of inpatient diabetes care will be presented including those models led by the following: an endocrinologist(s), mid-level provider(s), pharmacist(s), and a virtual glucose management team. The authors will outline the intrinsic benefits as well as limitations of each model of care as well as cite supporting evidence, when available. Discussion pertaining to how a given model of care shapes and formulates a particular organization's structured glucose management program (GMP) will be examined. Furthermore, the authors describe how the model of care chosen by an institution serves as the foundation for the creation of a GMP. Finally, the authors examine the critical factors needed for GMP success within an institution and outline the nature of hospital administrative support and accompanying reporting structure, the function of a multidisciplinary diabetes steering committee, and the role of the medical director.

PITUITARY EVALUATION IN PATIENTS WITH LOW PROSTATE-SPECIFIC ANTIGEN.

OBJECTIVE: To evaluate pituitary function in men with a low screening prostate-specific antigen (PSA) of ≤0.1 ng/mL and test the hypothesis that low PSA is associated with hypogonadism alone or other hormone deficiency. METHODS: This was a case-control study evaluating the rates of hypogonadism and low insulin-like growth factor (IGF)-1 in a cohort of men with low or normal screening PSA level. Sixty-four men >40 years old without known prostate disease were divided into a low-PSA group (PSA ≤0.1 ng/mL) and normal-PSA group (PSA 1 to 4 ng/mL). Hormonal evaluation included total testosterone, prolactin, luteinizing hormone, follicle-stimulating hormone, IGF-1, growth hormone, thyroid-stimulating hormone, free thyroxine, morning cortisol, and adrenocorticotropic hormone. The difference between each patient's observed IGF-1 and the IGF-1 age-specific lower limit was calculated. The odds ratios (ORs) for having hypogonadism and associated 95% confidence intervals (CIs) were calculated using the Cochran-Mantel-Haenszel test. RESULTS: The rate of hypogonadism was significantly higher in the low-PSA group (n = 44) compared with the normal-PSA control group (n = 20) (45.5% vs. 15.0%; OR, 4.7; 95% CI, 1.2 to 18.4; P = .027). The total testosterone in the low-PSA group was significantly lower compared with the control group (181.7 ng/dL vs. 263.7 ng/dL; P = .008). IGF-1 values were below their lower bound in 18.6% of subjects in the low-PSA group, compared with 0% in the control group. CONCLUSION: Men with low PSA have significantly higher rates of hypogonadism and low IGF-1 compared with those with normal PSA. In such men, we recommend hormonal evaluation to exclude associated pituitary dysfunction. ABBREVIATIONS: BMI = body mass index; GH = growth hormone; IGF-1 = insulin-like growth factor 1; MRI = magnetic resonance imaging; PSA = prostate-specific antigen; T2DM = type 2 diabetes mellitus; VA-NWIHCS = VA-Nebraska Western Iowa Health Care System.

Nutrition and Hyperglycemia Management in the Inpatient Setting (Meals on Demand, Parenteral, or Enteral Nutrition).

PURPOSE OF REVIEW: The goal of this paper is to provide the latest evidence and expert recommendations for management of hospitalized patients with diabetes or hyperglycemia receiving enteral (EN), parenteral (PN) nutrition support or, those with unrestricted oral diet, consuming meals on demand. RECENT FINDINGS: Patients with and without diabetes mellitus commonly develop hyperglycemia while receiving EN or PN support, placing them at increased risk of adverse outcomes, including in-hospital mortality. Very little new evidence is available in the form of randomized controlled trials (RCT) to guide the glycemic management of these patients. Reduction in the dextrose concentration within parenteral nutrition as well as selection of an enteral formula that diminishes the carbohydrate exposure to a patient receiving enteral nutrition are common strategies utilized in practice. No specific insulin regimen has been shown to be superior in the management of patients receiving EN or PN nutrition support. For those receiving oral nutrition, new challenges have been introduced with the most recent practice allowing patients to eat meals on demand, leading to extreme variability in carbohydrate exposure and risk of hypo and hyperglycemia. Synchronization of nutrition delivery with the astute use of intravenous or subcutaneous insulin therapy to match the physiologic action of insulin in patients receiving nutritional support should be implemented to improve glycemic control in hospitalized patients. Further RCTs are needed to evaluate glycemic and other clinical outcomes of patients receiving nutritional support. For patients eating meals on demand, development of hospital guidelines and policies are needed, ensuring optimization and coordination of meal insulin delivery in order to facilitate patient safety.

Inpatient hypoglycemia: a challenge that must be addressed.

Hypoglycemia in the inpatient setting is a common occurrence with potentially harmful outcomes. Large trials in both the inpatient and outpatient settings have found a correlation between hypoglycemia and morbidity and mortality. The incidence of hypoglycemia is difficult to assess, due to a lack of standardized definitions and different methods of data collection between hospital systems. Risk factors that predispose to hypoglycemia involve the changing clinical statuses of patients, nutrition issues, and hospital processes. Mechanisms contributing to morbidity due to hypoglycemia may include an increase in sympathoadrenal responses, as well as indirect changes affecting cytokine production, coagulation, fibrinolysis, and endothelial function. Prevention of hypoglycemia requires implementation of several strategies that include patient safety, quality control, multidisciplinary communication, and transitions of care. In this article, we discuss all of these issues and provide suggestions to help predict and prevent hypoglycemic episodes during an inpatient stay. We address the issues that occur upon admission, during the hospital stay, and around the time of discharge. We believe that decreasing the incidence of inpatient hypoglycemia will both decrease costs and improve patient outcomes.

Evaluation of a Protocol Change Promoting Lactated Ringers Over Normal Saline in the Treatment of Diabetic Ketoacidosis.

BACKGROUND: Current guidelines recommend normal saline (NS) for fluid resuscitation in the management of patients presenting with diabetic ketoacidosis (DKA). However, previous prospective studies have demonstrated improvement in patient-specific outcomes, including time to DKA resolution, when balanced crystalloid fluids are used. METHODS: We conducted a single institution, retrospective cohort study of adult patients admitted with DKA before and after a protocol change within our institution, which shifted the default resuscitative and maintenance fluid in our DKA management protocol from NS to lactated Ringer's solution (LR). The primary outcome was time from DKA clinical presentation until DKA resolution. The secondary outcome was time to discontinuation of DKA protocol insulin drip. RESULTS: Of 246 patients meeting inclusion criteria, 119 were in the NS group (preprotocol change, where NS was the default resuscitative fluid) and 127 to the LR group (postprotocol change, where LR was the default resuscitative fluid). Time to DKA resolution was significantly decreased in the LR group (mean = 17.1 hours; standard deviation [SD] = 11.0) relative to the NS group (mean = 20.6 hours; SD = 12.2; P = .02). Duration of DKA protocol insulin drip was shorter in the LR group (mean = 16.0 hours; SD = 8.7) compared with the NS group (mean = 21.4 hours; SD = 12.5; P < .001). CONCLUSIONS: In this retrospective cohort study, protocolized DKA intravenous fluid management with LR resulted in shorter time to resolution of DKA and reduced duration of DKA protocol insulin drip.

Diabetes Technology Meeting 2023.

Diabetes Technology Society hosted its annual Diabetes Technology Meeting from November 1 to November 4, 2023. Meeting topics included digital health; metrics of glycemia; the integration of glucose and insulin data into the electronic health record; technologies for insulin pumps, blood glucose monitors, and continuous glucose monitors; diabetes drugs and analytes; skin physiology; regulation of diabetes devices and drugs; and data science, artificial intelligence, and machine learning. A live demonstration of a personalized carbohydrate dispenser for people with diabetes was presented.

Going into town or staying home: Rural patient experience and preference with home-based versus clinic-based telehealth.

INTRODUCTION: Telehealth is a model of care with potential to improve access, and in turn outcomes, for people living in rural areas. Since 2013, our endocrine clinic-based telehealth program has provided care at rural community hospitals in Nebraska and Iowa. At the start of the COVID-19 pandemic, when regulations around telehealth were adjusted, patients previously seen via clinic-based telehealth had the option to continue clinic-based visits or have a home-based telehealth visit. There is no literature comparing patient experiences between home-based and clinic-based telehealth. The purpose of this study was to understand rural patient preferences regarding endocrinology home-based versus clinic-based telehealth visits. METHODS: This was a survey study of adult, rural patients who experienced both a clinic-based and home-based telehealth visit with their established endocrinology provider. Respondents were asked about demographics, their reason for visit, preference for home versus clinic-based telehealth, and how they would have received care if telehealth were not an option. RESULTS: Forty-two patients (40.8%) responded to the survey, with 27 patients (64.3%) preferring home-based telehealth. There were no significant differences between the groups. However, 47.5% of patients would not have sought specialty care if telehealth were not an option. DISCUSSION: This survey of endocrine patients experienced in both clinic-based and home-based telehealth indicates that, while most respondents preferred home-based telehealth, there are distinct advantages to each model and patients appreciate having options. We believe it is important to maintain both lines of service to provide patient-centered care and improve access to specialty care.

Use of Continuous Glucose Monitors in the Hospital: The Diabetes Technology Society Hospital Meeting Report 2023.

The annual Virtual Hospital Diabetes Meeting was hosted by the Diabetes Technology Society on April 14 and 15, 2023, with the goal of reviewing the progress made in the hospital use of continuous glucose monitors (CGMs). Meeting topics included (1) Nursing Issues, Protocols, Order Sets, and Staff Education for Using CGMs, (2) Implementing CGM Programs for Use in the Wards, (3) Quality Metrics and Financial Implications of CGMs in the Hospital, (4) CGMs in the Critical Care Setting, (5) Special Situations: Labor/Delivery and Hemodialysis, (6) Research Session on CGMs in the Hospital, (7) Starting a CGM on Hospitalized Patients, (8) Automated Insulin Delivery Systems in the Hospital, (9) CGMs in Children, (10) Data Integration of CGMs for Inpatient Use and Telemetry, (11) Accuracy of CGMs/Comparison with Point-of-care Blood Glucose Testing, and (12) Discharge Planning with CGMs. Outcome data as well as shared collective real-life experiences were reviewed, and expert recommendations for CGM implementation were formulated.

Diabetes Technology Meeting 2022.

Diabetes Technology Society hosted its annual Diabetes Technology Meeting from November 3 to November 5, 2022. Meeting topics included (1) the measurement of glucose, insulin, and ketones; (2) virtual diabetes care; (3) metrics for managing diabetes and predicting outcomes; (4) integration of continuous glucose monitor data into the electronic health record; (5) regulation of diabetes technology; (6) digital health to nudge behavior; (7) estimating carbohydrates; (8) fully automated insulin delivery systems; (9) hypoglycemia; (10) novel insulins; (11) insulin delivery; (12) on-body sensors; (13) continuous glucose monitoring; (14) diabetic foot ulcers; (15) the environmental impact of diabetes technology; and (16) spinal cord stimulation for painful diabetic neuropathy. A live demonstration of a device that can allow for the recycling of used insulin pens was also presented.

Evaluation of an adult insulin infusion protocol at an academic medical center.

OBJECTIVE: Acknowledging evidence of possible detrimental effects of tightly controlled blood glucose levels, the American Association of Clinical Endocrinologists and the American Diabetes Association published a consensus statement recommending less strict control for most diabetic patients. As a result of these recommendations, our academic center at Creighton University Medical Center revised its adult insulin infusion protocol to target blood glucose levels ranging from 120 to 180 mg/dL for regular (standard) glycemic control and 80 to 120 mg/dL for tight control; previous targets had ranged from 80 to 180 mg/dL and 70 to 110 mg/dL, respectively. The primary objective was to evaluate the time that blood glucose values were within the target range for patients receiving the new protocol, compared with patients receiving the previous protocol. METHODS: Our study was designed to evaluate the effectiveness and safety of the revised protocol. Using a retrospective chart review, we collected data for 4 months from patients on the old insulin protocol (May to August 2009) and for 4 months from patients on the new protocol (September to December 2009). Secondary endpoints included the number of hypoglycemic episodes (blood glucose below 70 mg/dL) and severe hypoglycemic episodes (blood glucose 40 mg/dL or lower) experienced by patients receiving the new insulin protocol compared with those receiving the former protocol. RESULTS: Patient characteristics were similar at baseline. Blood glucose values stayed within the target range for a significantly shorter time with the new protocol than with the former protocol (44.6% vs. 56.8%, respectively; P < 0.001), probably because of the narrower target range in the revised protocol. No statistically significant differences in hypoglycemia were observed after the protocol was changed. Hypoglycemia occurred in 31% of the former-protocol patients compared with 18% of the revised-protocol patients. Severe hypoglycemia was experienced by 2.1% of patients on the old protocol and by 3.1% of patients on the new protocol. Rates of severe hypoglycemia were low (2.6%) with the original protocol. CONCLUSION: Patients' blood glucose levels were within the target range for a shorter time with the new protocol. Fewer episodes of hypoglycemia were recorded with the new protocol, but rates of severe hypoglycemia were similar with both protocols.

Rural Telehealth Visits in the Management of Type 1 Diabetes.

INTRODUCTION: Despite advances in and increased adoption of technology, glycemic outcomes for individuals with type 1 diabetes (T1D) have not improved. Access to care is limited for many, in part due to a shortage of endocrinologists and their concentration in urban areas. Managing T1D via telehealth has potential to improve glycemic outcomes, as the barriers of travel-related time and cost are mitigated. METHODS: Our endocrine telehealth program started in 2013 and currently provides care to nine rural community hospitals in Nebraska and Iowa. A retrospective cohort study was performed to evaluate glycemic outcomes in people with T1D who received care at these telehealth clinics from 2013-2019. Data were collected on age, race, gender, prior diabetes provider, use of diabetes technology, and A1c values over time. RESULTS: One hundred thirty-nine individuals were followed for an average duration of 32 months (range 4-69 months). Sixty-six percent of people were previously under the care of an endocrinologist. The most common therapeutic action, in addition to insulin adjustment, was addition of a CGM (52%). Each year in telemedicine care was associated with a decline of 0.13% in A1c (95% CI: -0.20, -0.06). There was no association between A1c and age or gender. When stratifying by previous diabetes provider, all groups had a statistically significant decline in A1c, even those with a previous endocrine provider. There was no statistically significant decline in A1c based on addition of technology. CONCLUSION: We have shown that traditional telehealth visits are an effective way to provide care for people with T1D long-term and may provide distinct advantages to home telehealth visits.