Compliance with eye and foot preventive care in people with self-reported diabetes in Latin America and the Caribbean: Pooled, cross-sectional analysis of nine national surveys

AIMS

To estimate the proportion of people with self-reported diabetes receiving eye and foot examinations in Latin America and the Caribbean (LAC).

METHODS

Cross-sectional analysis of national health surveys in nine countries. Adults aged 25-64 years with self-reported diabetes. We quantified the proportion who reported having an eye examination in the last two years or a foot examination in the last year. We fitted multilevel Poisson regressions to assess socio-demographic (age and sex) and clinical (oral hypoglycemic medication and insulin treatment) variables associated with having had examinations.

RESULTS

There were 7435 people with self-reported diabetes included in the analysis. In three countries (Chile [64%; 95% CI: 56%-71%], British Virgin Islands [58%; 95% CI: 51%-65%], and Brazil [54%; 95% CI: 50%-58%]), >50% of people with diabetes reported having had an eye examination in the last two years. Fewer participants (<50% across all countries) reported having had a foot examination in the last year, with Ecuador having the lowest proportion (12%; 95% CI: 8%-17%). Older people, and those taking oral medication or insulin, were more likely to have eye/foot examinations.

CONCLUSIONS

The proportion of eye and foot examinations in people with self-reported diabetes across nine countries in LAC is low.

Should We Stop Glucagon-Like Peptide-1 Receptor Agonists Before Surgical or Endoscopic Procedures? Balancing Limited Evidence With Clinical Judgment

The American Society of Anesthesiologists (ASA) Task Force recently recommended discontinuing glucagon-like peptide-1 receptor agonist (GLP-1 RA) agents before surgery because of the potential risk of pulmonary aspiration. However, there is limited scientific evidence to support this recommendation, and holding GLP-1 RA treatment may worsen glycemic control in patients with diabetes. As we await further safety data to manage GLP-1 RA in the perioperative period, we suggest an alternative multidisciplinary approach to manage patients undergoing elective surgery. Well-conducted observational and prospective studies are needed to determine the risk of pulmonary aspiration in persons receiving GLP-1 RA for the treatment of diabetes and obesity, as well as the short-term impact of discontinuing GLP-1 RA on glycemic control before elective procedures in persons with diabetes.

Phase 3 trial to evaluate the safety, tolerability, and immunogenicity of V114, a 15-valent pneumococcal conjugate vaccine, followed by 23-valent pneumococcal polysaccharide vaccine 6 months later, in at-risk adults 18-49 years of age (PNEU-DAY): A subgroup analysis by baseline risk factors

Immunocompetent adults with certain medical and behavioral factors are at increased risk of pneumococcal disease. In some countries, sequential vaccination with 13-valent pneumococcal conjugate vaccine (PCV13) followed by 23-valent pneumococcal polysaccharide vaccine (PPSV23) is recommended for at-risk adults. This subgroup analysis from a phase 3 study evaluated the safety, tolerability, and immunogenicity of sequential administration of either V114 (a 15-valent PCV containing serotypes 1, 3, 4, 5, 6A, 6B, 7F, 9V, 14, 18C, 19A, 19F, 22F, 23F, and 33F) or PCV13, followed 6 months later by PPSV23, in immunocompetent adults 18-49 years of age with pre-defined risk factors for pneumococcal disease. Safety and immunogenicity post-vaccination were analyzed by type and baseline number of risk factors for pneumococcal disease (1 and ≥2 risk factors). This analysis included 1,131 participants randomized 3:1 to receive either V114 or PCV13, followed by PPSV23. The majority (73.1%) of participants had at least one risk factor. Safety and tolerability profiles of V114 and PCV13 were similar across risk factor groups. V114 administered either alone or sequentially with PPSV23 6 months later was immunogenic for all 15 serotypes, including those not contained in PCV13, regardless of the number of baseline risk factors. V114 has the potential to broaden serotype coverage for at-risk adults.

A Consensus Statement for Continuous Glucose Monitoring Metrics for Inpatient Clinical Trials

Diabetes Technology Society organized an expert consensus panel to develop metrics for research in the use of continuous glucose monitors (CGMs) in a hospital setting. The experts met virtually in small groups both before and after an April 13, 2023 virtual meeting of the entire panel. The goal of the panel was to develop consensus definitions in anticipation of greater use of CGMs in hospital settings in the future. Establishment of consensus definitions of inpatient analytical metrics will be easier to compare outcomes between studies. Panelists defined terms related to 10 dimensions of measurements related to the use of CGMs including (1) hospital hypoglycemia, (2) hospital hyperglycemia, (3) hospital time in range, (4) hospital glycemic variability, (5) hospital glycemia risk index, (6) accuracy of CGM devices and reference methods for CGMs in the hospital, (7) meaningful time blocks for hospital glycemic goals, (8) hospital CGM data sufficiency, (9) using CGM data for insulin dosing, and (10) miscellaneous factors. The panelists voted on 51 proposed recommendations. Based on the panel vote, 51 recommendations were classified as either strong (43) or mild (8). Additional research is needed on CGM performance in the hospital. This consensus report is intended to support that type of research intended to improve outcomes for hospitalized people with diabetes.

Automated Insulin Delivery with Remote Real-Time Continuous Glucose Monitoring for Hospitalized Patients with Diabetes: A Multicenter, Single-Arm, Feasibility Trial

Introduction: Multiple daily injection insulin therapy frequently fails to meet hospital glycemic goals and is prone to hypoglycemia. Automated insulin delivery (AID) with remote glucose monitoring offers a solution to these shortcomings. Research Design and Methods: In a single-arm multicenter pilot trial, we tested the feasibility, safety, and effectiveness of the Omnipod 5 AID System with real-time continuous glucose monitoring (CGM) for up to 10 days in hospitalized patients with insulin-requiring diabetes on nonintensive care unit medical-surgical units. Primary endpoints included the proportion of time in automated mode and percent time-in-range (TIR 70-180 mg/dL) among participants with >48 h of CGM data. Safety endpoints included incidence of severe hypoglycemia and diabetes-related ketoacidosis (DKA). Additional glycemic endpoints, CGM accuracy, and patient satisfaction were also explored. Results: Twenty-two participants were enrolled; 18 used the system for a total of 96 days (mean 5.3 ± 3.1 days per patient), and 16 had sufficient CGM data required for analysis. Median percent time in automated mode was 95% (interquartile range 92%-98%) for the 18 system users, and the 16 participants with >48 h of CGM data achieved an overall TIR of 68% ± 16%, with 0.17% ± 0.3% time <70 mg/dL and 0.06% ± 0.2% time <54 mg/dL. Sensor mean glucose was 167 ± 21 mg/dL. There were no DKA or severe hypoglycemic events. All participants reported satisfaction with the system at study end. Conclusions: The use of AID with a disposable tubeless patch-pump along with remote real-time CGM is feasible in the hospital setting. These results warrant further investigation in randomized trials.

A Glycemia Risk Index (GRI) of Hypoglycemia and Hyperglycemia for Continuous Glucose Monitoring Validated by Clinician Ratings

BACKGROUND

A composite metric for the quality of glycemia from continuous glucose monitor (CGM) tracings could be useful for assisting with basic clinical interpretation of CGM data.

METHODS

We assembled a data set of 14-day CGM tracings from 225 insulin-treated adults with diabetes. Using a balanced incomplete block design, 330 clinicians who were highly experienced with CGM analysis and interpretation ranked the CGM tracings from best to worst quality of glycemia. We used principal component analysis and multiple regressions to develop a model to predict the clinician ranking based on seven standard metrics in an Ambulatory Glucose Profile: very low-glucose and low-glucose hypoglycemia; very high-glucose and high-glucose hyperglycemia; time in range; mean glucose; and coefficient of variation.

RESULTS

The analysis showed that clinician rankings depend on two components, one related to hypoglycemia that gives more weight to very low-glucose than to low-glucose and the other related to hyperglycemia that likewise gives greater weight to very high-glucose than to high-glucose. These two components should be calculated and displayed separately, but they can also be combined into a single Glycemia Risk Index (GRI) that corresponds closely to the clinician rankings of the overall quality of glycemia (r = 0.95). The GRI can be displayed graphically on a GRI Grid with the hypoglycemia component on the horizontal axis and the hyperglycemia component on the vertical axis. Diagonal lines divide the graph into five zones (quintiles) corresponding to the best (0th to 20th percentile) to worst (81st to 100th percentile) overall quality of glycemia. The GRI Grid enables users to track sequential changes within an individual over time and compare groups of individuals.

CONCLUSION

The GRI is a single-number summary of the quality of glycemia. Its hypoglycemia and hyperglycemia components provide actionable scores and a graphical display (the GRI Grid) that can be used by clinicians and researchers to determine the glycemic effects of prescribed and investigational treatments.

Diabetes Research and Resource Sharing During the COVID-19 Pandemic: A Systematic Review and Experience from an Academic/Non-Profit Resource Website

BACKGROUND

The magnitude of the response of the diabetes professional community to the COVID-19 pandemic is not known. We aimed to examine diabetes technology research trends and resources offered by professional organizations during this period.

METHODS

We explored patterns of the response from the professional diabetes community to the pandemic by (1) systematically searching for articles related to diabetes, COVID-19, and diabetes technologies; (2) examining publication trends of research protocols (clinicaltrials.gov) and preprints (medRxiv); and (3) reviewing online resources from professional organizations including our website (COVIDinDiabetes.org; an Emory University-Diabetes Technology Society collaboration).

RESULTS

We identified 492 articles published between December 2019 and December 2022 meeting our inclusion criteria. Telemedicine and continuous glucose monitoring were the most common reported technologies from most parts of the world. The largest number of preprint articles was published in 2020, with a decline in 2021 and 2022. The number of research protocols related to COVID-19 was the highest in 2020 and declined in 2021 and 2022. Resources from organizations included protocols adapted to treat patients with diabetes and COVID-19, training programs, emergency preparedness, and literature on diabetes and COVID-19. On our website (COVIDinDiabetes.org), there were 12 236 visits and 18 149 pageviews, with 1.6 actions per visits, with most visits coming from North America (N = 7233, 54.2%), South America (N = 2663, 21.8%), and Europe (N = 1219).

CONCLUSIONS

We conclude that the COVID-19 pandemic promoted unprecedented global research productivity related to diabetes and COVID-19 and that the transition to the use of technology resources has been evident during this period.

A Randomized Controlled Trial Comparing the Efficacy and Safety of IDegLira Versus Basal-Bolus in Patients With Poorly Controlled Type 2 Diabetes and Very High HbA1c ≥9-15%: DUAL HIGH Trial

OBJECTIVE

In participants with type 2 diabetes (T2D) and HbA1c >9.0-10.0%, guidelines recommend treatment with basal-bolus insulin.

RESEARCH DESIGN AND METHODS

This randomized trial compared the efficacy and safety of insulin degludec and liraglutide (IDegLira) and basal-bolus among participants with high HbA1c ≥9.0-15.0%, previously treated with 2 or 3 oral agents and/or basal insulin, allocated (1:1) to basal-bolus (n = 73) or IDegLira (n = 72). The primary end point was noninferiority (0.4%) in HbA1c reduction between groups.

RESULTS

Among 145 participants (HbA1c 10.8% ± 1.3), there was no statistically significant difference in HbA1c reduction (3.18% ± 2.29 vs. 3.00% ± 1.79, P = 0.65; estimated treatment difference (ETD) 0.18%, 95% CI -0.59, 0.94) between the IDegLira and basal-bolus groups. IDegLira resulted in significantly lower rates of hypoglycemia <70 mg/dL (26% vs. 48%, P = 0.008; odds ratio 0.39, 95% CI 0.19, 0.78), and less weight gain (1.24 ± 8.33 vs. 5.84 ± 6.18 kg, P = 0.001; ETD -4.60, 95% CI -7.33, -1.87).

CONCLUSIONS

In participants with T2D and HbA1c ≥9.0-15.0%, IDegLira resulted in similar HbA1c reduction, less hypoglycemia, and less weight gain compared with the basal-bolus regimen.

Performance of PROMIS Measures to Assess Fatigue and Sleep Symptom Severity Among African American Patients Newly Diagnosed With Obstructive Sleep Apnea

This pilot study examined the concurrent validity of Patient-Reported Outcomes Measurement Information System (PROMIS), Short Form, measures with the longer Multidimensional Fatigue Inventory among patients living with obstructive sleep apnea (OSA). A total of 26 African American patients living with prediabetes and newly diagnosed with OSA completed the six-item short form versions of PROMIS Fatigue and PROMIS Sleep Disturbance, and the longer 20-item Multidimensional Fatigue Inventory. Both PROMIS Fatigue and Sleep Disturbance scales demonstrated high reliability with Cronbach's α of .91 and .92, respectively. PROMIS Fatigue scores were significantly correlated with Multidimensional Fatigue Inventory scores (rs = .53; p = .006) and demonstrated concurrent validity. However, PROMIS Sleep Disturbance scores and Multidimensional Fatigue Inventory scores were not associated with one another. The brief PROMIS Fatigue scale is a useful, succinct approach to assess fatigue severity among diverse patient populations living with OSA. This study is among the first to evaluate the performance of PROMIS Fatigue in a sample living with OSA.

Continuous Glucose Monitoring in the Intensive Care Unit

Traditionally, the care of critically ill patients with diabetes or stress hyperglycemia in the intensive care unit (ICU) demands the use of continuous intravenous insulin (CII) therapy to achieve narrow glycemic targets. To reduce the risk of iatrogenic hypoglycemia and to achieve glycemic targets during CII, healthcare providers (HCP) rely on hourly point-of-care (POC) arterial or capillary glucose tests obtained with glucose monitors. The burden of this approach, however, was evident during the beginning of the pandemic when the immediate reduction in close contact interactions between HCP and patients with COVID-19 was necessary to avoid potentially life-threatening exposures. Taking advantage of the advancements in current diabetes technologies, including continuous glucose monitoring (CGM) devices integrated with digital health tools for remote monitoring, HCP implemented novel protocols in the ICU to care for patients with COVID-19 and hyperglycemia. We provide an overview of research conducted in the ICU setting with the use of initial CGM technology to current devices and summarize our recent experience in the ICU.

Nursing Perspectives on the Use of Continuous Glucose Monitoring in the Intensive Care Unit

BACKGROUND

The COVID-19 pandemic necessitated rapid implementation of continuous glucose monitoring (CGM) in the intensive care unit (ICU). Although rarely reported, perceptions from nursing staff who used the systems are critical for successful implementation and future expanded use of CGM in the inpatient setting.

METHODS

A 22-item survey focused on CGM use was distributed to ICU nurses at two large academic medical centers in the United States in 2022. Both institutions initiated inpatient CGM in the spring of 2020 using the same CGM+point of care (POC) hybrid protocol. The survey employed a 1- to 5-point Likert scale regarding CGM sensor insertion, accuracy, acceptability, usability, training, and perceptions on workload.

RESULTS

Of the 71 surveys completed, 68 (96%) nurses reported they cared for an ICU patient on CGM and 53% reported they had independently performed CGM sensor insertion. The ICU nurses overwhelmingly reported that CGM was accurate, reduced their workload, provided safer patient care, and was preferred over POC glucose testing alone. Interestingly, nearly half of nurses (49%) reported that they considered trend arrows in dosing decisions although trends were not included in the CGM+POC hybrid protocol. Nurses received training through multiple modalities, with the majority (80%) of nurses reporting that CGM training was sufficient and prepared them for its use.

CONCLUSION

These results confirm nursing acceptance and preference for CGM use within a hybrid glucose monitoring protocol in the ICU setting. These data lay a blueprint for successful implementation and training strategies for future widespread use.

The effects of aging and frailty on inpatient glycemic control by continuous glucose monitoring in patients with type 2 diabetes

BACKGROUND

Older adults with diabetes in the hospital are generally managed similarly to younger adults, however, it is unknown if the degree of frailty can affect glucose control among hospitalized patients.

METHODS

We examined glycemic parameters derived from continuous glucose monitoring (CGM) in older adults with type 2 diabetes and frailty who were hospitalized in non-acute settings. Data was pooled from 3 prospective studies using CGM including 97 patients wearing Libre CGM sensors and 166 patients wearing Dexcom G6 CGM. Glycemic parameters (time in range (TIR) 70-180; time below range (TBR) <70 and 54 mg/dl) by CGM were compared between 103 older adults ≥60 years and 168 younger adults <60 years. Frailty was assessed using validated laboratory and vital signs frailty index FI-LAB (n = 85), and its effect on hypoglycemia risk was studied.

RESULTS

Older adults, as compared to younger adults, had significantly lower admission HbA1c (8.76% ± 1.82 vs. 10.25% ± 2.29, p < 0.001), blood glucose (203.89 ± 88.65 vs. 247.86 ± 124.17 mg/dl, p = 0.003), mean daily BG (173.9 ± 41.3 vs. 183.6 ± 45.0 mg/dl, p = 0.07) and higher percent TIR 70-180 mg/dl (59.0 ± 25.6% vs. 51.0 ± 26.1%, p = 0.02) during hospital stay. There was no difference in hypoglycemia occurrence between older and younger adults. Higher FI-LAB score was associated with higher % CGM < 70 mg/dl (0.204) and % CGM < 54 mg/dl (0.217).

CONCLUSION

Older adults with type 2 diabetes have better glycemic control prior to admission and during hospital stay compared to younger adults. Frailty is associated with longer presence of hypoglycemia in non-acute hospital settings.

LBSUN215 Evaluation Of Glycemic Control By Continuous Glucose Monitoring Among Hospitalized Older Adults With Type-2 Diabetes And Frailty

 

Recent observational and meta-analyses have reported a frailty prevalence between 10% and 25% in people with diabetes, in particular in those older than 60 years of age. The impact of frailty on hospital glycemic control and glycemic variability (GV) by continuous glucose monitoring (CGM) in insulin-treated older adults with type 2 diabetes (T2D) is not known. Accordingly, we reviewed data from 3 inpatient randomized clinical trials using CGM in insulin-treated patients with T2D. The validated laboratory-based frailty index (FI-LAB) scale was used for frailty assessment, and participants were categorized into three groups [non-frail: (0-<0.1), pre-frail (≥0.1-<0.21), and frail (≥0.21)] in 84 older adults. | There were no differences on admission clinical characteristics between the non-frail/pre-frail older adults and the frail older adults except for Creatinine (BMI: 32.4 ± 9 vs. 36.83± 13, p=0.21; HbA1c%: 9.3 ± 2 vs. 8.72± 2, p=0.18; Admission BG: 227 ± 114 vs. 194. 07± 75 mg/dl, p=0.26; Cr: 1.16 ± 1 vs. 1.65± 1. 0). There were no differences in GV by coefficient of variation (CV), amplitude of glucose excursion (MAGE), and standard deviation (SD) between the two groups. The correlation between FI-LAB score and percent time with CGM <70 was 0.204 (p=0. 064) and the correlation between FI-LAB score and percent time with percent time with CGM<54 was 0.217 (p=0. 049). Results from standard linear regression and zero-inflated Beta regression further suggest that frail old patients with higher frailty scores may be associated with larger percent time with CGM below range <70 and CGM <54 mg/dL.

Conclusion

Our results indicate that older adults with T2D with higher frailty score experience more time in hypoglycemia during their hospital stay despite having comparable mean daily blood glucose, time in range and glycemic variability compared to non-frail or pre-frail older adults. A larger prospective study is needed to confirm these findings and determine the impact of frailty on clinical outcome. Providers should be vigilant when using insulin or insulin secretagogues in hospitalized older adults with diabetes and frailty.

Presentation: Sunday, June 12, 2022 12:30 p.m. - 2:30 p.m.

Continuous Glucose Monitoring-Guided Insulin Administration in Hospitalized Patients With Diabetes: A Randomized Clinical Trial

OBJECTIVE

The efficacy and safety of continuous glucose monitoring (CGM) in adjusting inpatient insulin therapy have not been evaluated.

RESEARCH DESIGN AND METHODS

This randomized trial included 185 general medicine and surgery patients with type 1 and type 2 diabetes treated with a basal-bolus insulin regimen. All subjects underwent point-of-care (POC) capillary glucose testing before meals and bedtime. Patients in the standard of care (POC group) wore a blinded Dexcom G6 CGM with insulin dose adjusted based on POC results, while in the CGM group, insulin adjustment was based on daily CGM profile. Primary end points were differences in time in range (TIR; 70-180 mg/dL) and hypoglycemia (<70 mg/dL and <54 mg/dL).

RESULTS

There were no significant differences in TIR (54.51% ± 27.72 vs. 48.64% ± 24.25; P = 0.14), mean daily glucose (183.2 ± 40 vs. 186.8 ± 39 mg/dL; P = 0.36), or percent of patients with CGM values <70 mg/dL (36% vs. 39%; P = 0.68) or <54 mg/dL (14 vs. 24%; P = 0.12) between the CGM-guided and POC groups. Among patients with one or more hypoglycemic events, compared with POC, the CGM group experienced a significant reduction in hypoglycemia reoccurrence (1.80 ± 1.54 vs. 2.94 ± 2.76 events/patient; P = 0.03), lower percentage of time below range <70 mg/dL (1.89% ± 3.27 vs. 5.47% ± 8.49; P = 0.02), and lower incidence rate ratio <70 mg/dL (0.53 [95% CI 0.31-0.92]) and <54 mg/dL (0.37 [95% CI 0.17-0.83]).

CONCLUSIONS

The inpatient use of real-time Dexcom G6 CGM is safe and effective in guiding insulin therapy, resulting in a similar improvement in glycemic control and a significant reduction of recurrent hypoglycemic events compared with POC-guided insulin adjustment.

Efficacy and Safety of Intensive Versus Nonintensive Supplemental Insulin With a Basal-Bolus Insulin Regimen in Hospitalized Patients With Type 2 Diabetes: A Randomized Clinical Study

OBJECTIVE

Administration of supplemental sliding scale insulin for correction of hyperglycemia in non-intensive care unit (ICU) patients with type 2 diabetes is frequently used with basal-bolus insulin regimens. In this noninferiority randomized controlled trial we tested whether glycemic control is similar with and without aggressive sliding scale insulin treatment before meals and bedtime in patients treated with basal-bolus insulin regimens.

RESEARCH DESIGN AND METHODS

Patients with type 2 diabetes with admission blood glucose (BG) 140-400 mg/dL treated with basal-bolus insulin were randomized to intensive (correction for BG >140 mg/dL, n = 108) or to nonintensive (correction for BG >260 mg/dL, n = 107) administration of rapid-acting sliding scale insulin before meals and bedtime. The groups received the same amount of sliding scale insulin for BG >260 mg/dL. Primary outcome was difference in mean daily BG levels between the groups during hospitalization.

RESULTS

Mean daily BG in the nonintensive group was noninferior to BG in the intensive group with equivalence margin of 18 mg/dL (intensive 172 ± 38 mg/dL vs. nonintensive 173 ± 43 mg/dL, P = 0.001 for noninferiority). There were no differences in the proportion of target BG readings of 70-180 mg/dL, <70 or <54 mg/dL (hypoglycemia), or >350 mg/dL (severe hyperglycemia) or total, basal, or prandial insulin doses. Significantly fewer subjects received sliding scale insulin in the nonintensive (n = 36 [34%]) compared with the intensive (n = 98 [91%] [P < 0.0001]) group with no differences in sliding scale insulin doses between the groups among those who received sliding scale insulin (intensive 7 ± 4 units/day vs. nonintensive 8 ± 4 units/day, P = 0.34).

CONCLUSIONS

Among non-ICU patients with type 2 diabetes on optimal basal-bolus insulin regimen with moderate hyperglycemia (BG <260 mg/dL), a less intensive sliding scale insulin treatment did not significantly affect glycemic control.

Treatment persistence and adherence in people with type 2 diabetes switching to iGlarLixi vs free-dose combinations of basal insulin and glucagon-like peptide 1 receptor agonist

BACKGROUND: Fixed-ratio combinations of basal insulin (BI) and glucagon-like peptide-1 receptor agonists (GLP-1 RAs) have greater simplicity of administration with expected improved adherence/persistence with therapy, but real-world data are lacking. OBJECTIVE: To compare medication persistence, adherence, and health care resource utilization (HRU) and costs for insulin glargine 100 U/mL and the GLP-1 RA lixisenatide (iGlarLixi) with newly initiated free-dose combinations of BI and GLP-1 RAs initiated simultaneously or sequentially. METHODS: This analysis used the US Optum Clinformatics (January 2017 to November 2019) database and included data from adults (aged ≥ 18 years) with type 2 diabetes and a glycated hemoglobin A1c (A1c) of 8% or more. Participants received iGlarLixi or free-dose combinations of BI and GLP-1 RAs prescribed simultaneously or subsequently. Participants were followed for 12 months. Cohorts were propensity score matched on baseline characteristics. The primary outcome was persistence (days on treatment without discontinuation). Secondary outcomes were adherence (proportion of days covered), change in A1c, and all-cause and diabetes-related health care resource utilization and costs. Subgroup analyses were performed for individuals with A1c levels of 9% or more. RESULTS: After propensity score matching, there were 1,357 patients in each group; groups were well balanced. In the free-dose combination group, 65.6% started on BI, then added GLP-1 RAs; 28.5% started on GLP-1 RAs, then added BI; and 5.9% started on GLP-1 RAs and BI on the same day. In the subgroup with a baseline of A1c levels of 9% or more, 952 (iGlarLixi) and 932 (free-dose combination) participants were included. A significantly higher proportion of participants in the overall population who received iGlarLixi vs free-dose combinations were persistent (44.8% vs 36.3% [hazard ratio = 1.22, 95% CI = 1.11-1.35, P < 0.001]; the median [Q1, Q3] number of persistent days was 150 [63, 360] vs 120 [60, 310]) and adherent to therapy (41.3% vs 18.7%, [odds ratio = 3.06, 95% CI = 2.57-3.65; P < 0.001]). Results for persistence in the subpopulation of participants with HbA1c levels of 9% or more were similar. Reductions in A1c from baseline were similar between iGlarLixi and the free-dose combination group (overall population: -1.2% vs -1.3%; P = 0.1913), but the number of participants in the database with follow-up A1c data was low. All-cause and diabetes-related pharmacy visits and total medication and diabetes medication pharmacy claims costs were significantly lower (all P < 0.001) for those receiving iGlarLixi vs free-dose combinations in both populations. CONCLUSIONS: In adults with type 2 diabetes, iGlarLixi was associated with longer persistence by approximately 30 days, improved adherence, and reductions in outpatient and pharmacy visits and in pharmacy costs. DISCLOSURES: This study was funded by Sanofi US. Medical writing support was provided by Barrie Anthony, PhD, CMPP, of Evidence Scientific Solutions and funded by Sanofi US. Dr Edelman has been on an advisory board and speakers' bureau for AstraZeneca, MannKind, and Xeris and on an advisory board for BrightSight and is a board member for Senseonics and Team-Type1. Mr Cassarino is on the speakers' bureau for Sanofi. Dr Kayne has been a consultant and speakers' bureau member for AstraZeneca, Bayer, Dexcom, Eli Lilly & Company, Janssen, MannKind, Novo Nordisk, and Sanofi. Dr Dex and Mr Li are employees of Sanofi. Dr Pasquel has received unrestricted research support from Dexcom, Insulet, and Merck and has been a consultant for Medscape, AI Health, Boehringer Ingelheim, and Dexcom.

Hospital Diabetes Meeting 2022

The annual Virtual Hospital Diabetes Meeting was hosted by Diabetes Technology Society on April 1 and April 2, 2022. This meeting brought together experts in diabetes technology to discuss various new developments in the field of managing diabetes in hospitalized patients. Meeting topics included (1) digital health and the hospital, (2) blood glucose targets, (3) software for inpatient diabetes, (4) surgery, (5) transitions, (6) coronavirus disease and diabetes in the hospital, (7) drugs for diabetes, (8) continuous glucose monitoring, (9) quality improvement, (10) diabetes care and educatinon, and (11) uniting people, process, and technology to achieve optimal glycemic management. This meeting covered new technology that will enable better care of people with diabetes if they are hospitalized.

Continuous Ketone Monitoring Consensus Report 2021

This article is the work product of the Continuous Ketone Monitoring Consensus Panel, which was organized by Diabetes Technology Society and met virtually on April 20, 2021. The panel consisted of 20 US-based experts in the use of diabetes technology, representing adult endocrinology, pediatric endocrinology, advanced practice nursing, diabetes care and education, clinical chemistry, and bioengineering. The panelists were from universities, hospitals, freestanding research institutes, government, and private practice. Panelists reviewed the medical literature pertaining to ten topics: (1) physiology of ketone production, (2) measurement of ketones, (3) performance of the first continuous ketone monitor (CKM) reported to be used in human trials, (4) demographics and epidemiology of diabetic ketoacidosis (DKA), (5) atypical hyperketonemia, (6) prevention of DKA, (7) non-DKA states of fasting ketonemia and ketonuria, (8) potential integration of CKMs with pumps and automated insulin delivery systems to prevent DKA, (9) clinical trials of CKMs, and (10) the future of CKMs. The panelists summarized the medical literature for each of the ten topics in this report. They also developed 30 conclusions (amounting to three conclusions for each topic) about CKMs and voted unanimously to adopt the 30 conclusions. This report is intended to support the development of safe and effective continuous ketone monitoring and to apply this technology in ways that will benefit people with diabetes.

Association of Obesity, Diabetes, and Alcohol Use With Liver Fibrosis Among US Adults With Hepatitis C Virus Infection

This cross-sectional study examines the association of obesity, diabetes, and alcohol use with liver fibrosis among treatment-naive US adults with hepatitis C virus infection seen at a safety-net hospital in Atlanta, Georgia.

Degludec hospital trial: A randomized controlled trial comparing insulin degludec U100 and glargine U100 for the inpatient management of patients with type 2 diabetes

AIMS

Limited data exist about the use of insulin degludec in the hospital. This multicentre, non-inferiority, open-label, prospective randomized trial compared the safety and efficacy of insulin degludec-U100 and glargine-U100 for the management of hospitalized patients with type 2 diabetes.

METHODS

In total, 180 general medical and surgical patients with an admission blood glucose (BG) between 7.8 and 22.2 mmol/L, treated with oral agents or insulin before hospitalization were randomly allocated (1:1) to a basal-bolus regimen using degludec (n = 92) or glargine (n = 88), as basal and aspart before meals. Insulin dose was adjusted daily to a target BG between 3.9 and 10.0 mmol/L. The primary endpoint was the difference in mean hospital daily BG between groups.

RESULTS

Overall, the randomization BG was 12.2 ± 2.9 mmol/L and glycated haemoglobin 84 mmol/mol (9.8% ± 2.0%). There were no differences in mean daily BG (10.0 ± 2.1 vs. 10.0 ± 2.5 mmol/L, p = .9), proportion of BG in target range (54·5% ± 29% vs. 55·3% ± 28%, p = .85), basal insulin (29.6 ± 13 vs. 30.4 ± 18 units/day, p = .85), length of stay [median (IQR): 6.7 (4.7-10.5) vs. 7.5 (4.7-11.6) days, p = .61], hospital complications (23% vs. 23%, p = .95) between treatment groups. There were no differences in the proportion of patients with BG <3.9 mmol/L (17% vs. 19%, p = .75) or <3.0 mmol/L (3.7% vs. 1.3%, p = .62) between degludec and glargine.

CONCLUSION

Hospital treatment with degludec-U100 or glargine-U100 is equally safe and effective for the management of hyperglycaemia in general medical and surgical patients with type 2 diabetes.

Interventions associated with brown adipose tissue activation and the impact on energy expenditure and weight loss: A systematic review

BACKGROUND

Brown adipose tissue (BAT) plays a role in modulating energy expenditure. People with obesity have been shown to have reduced activation of BAT. Agents such as β-agonists, capsinoids, thyroid hormone, sildenafil, caffeine, or cold exposure may lead to activation of BAT in humans, potentially modulating metabolism to promote weight loss.

METHODS

We systematically searched electronic databases for clinical trials testing the effect of these agents and cold exposure on energy expenditure/thermogenesis and the extent to which they may impact weight loss in adults.

RESULTS

A total of 695 studies from PubMed, Web of Science, and Medline electronic databases were identified. After the removal of duplicates and further evaluation, 47 clinical trials were analyzed. We observed significant heterogeneity in the duration of interventions and the metrics utilized to estimate thermogenesis/energy expenditure. Changes observed in energy expenditure do not correlate with major weight changes with different interventions commonly known to stimulate thermogenesis. Even though cold exposure appears to consistently activate BAT and induce thermogenesis, studies are small, and it appears to be an unlikely sustainable therapy to combat obesity. Most studies were small and potential risks associated with known side effects of some agents such as β-agonists (tachycardia), sibutramine (hypertension, tachycardia), thyroid hormone (arrhythmias) cannot be fully evaluated from these small trials.

CONCLUSION

Though the impact of BAT activation and associated increases in energy expenditure on clinically meaningful weight loss is a topic of great interest, further data is needed to determine long-term feasibility and efficacy.

Immunogenicity, Safety, and Tolerability of V114, a 15-Valent Pneumococcal Conjugate Vaccine, in Immunocompetent Adults Aged 18–49 Years With or Without Risk Factors for Pneumococcal Disease: A Randomized Phase 3 Trial (PNEU-DAY)

Background

Adults with certain medical and behavioral factors are at increased risk for pneumococcal disease (PD). Sequential vaccination with 13-valent pneumococcal conjugate vaccine (PCV13) followed by 23-valent pneumococcal polysaccharide vaccine (PPSV23) is recommended for at-risk adults in some countries.

Methods

This phase 3 trial evaluated the safety, tolerability, and immunogenicity of sequential administration of either V114 (a 15-valent PCV containing serotypes 1, 3, 4, 5, 6A, 6B, 7F, 9V, 14, 18C, 19A, 19F, 22F, 23F, and 33F) or PCV13, followed 6 months later by PPSV23, in immunocompetent adults aged 18–49 years with or without pre-defined risk factors for PD (NCT03547167). Overall, 1515 participants were randomized 3:1 to receive either V114 or PCV13, followed by PPSV23.

Results

Most common solicited adverse events (AEs) following administration of V114 or PCV13 as well as PPSV23 were injection-site pain and fatigue. The proportion of participants with AEs was comparable in both groups. V114 and PCV13 were immunogenic based on opsonophagocytic activity (OPA) geometric mean titers (GMTs) 30 days post-vaccination for all serotypes contained in each respective vaccine. OPA GMTs to the 2 unique serotypes in V114 were robust in the V114 group. PPSV23 was immunogenic for all 15 serotypes contained in V114 in both vaccination groups, including 22F and 33F.

Conclusions

V114 administered alone or sequentially with PPSV23 is well tolerated and immunogenic for all 15 serotypes, including those not contained in PCV13, in immunocompetent adults aged 18–49 years with or without certain medical or behavioral risk factors for PD.

1050. Phase 3 Trial to Evaluate the Safety, Tolerability, and Immunogenicity of V114 Followed by 23valent Pneumococcal Polysaccharide Vaccine 6 Months Later in At-risk Adults Aged 18–49 Years (PNEU-DAY): A Subgroup Analysis by Baseline Risk Factors

Background

Risk factors (RFs) for pneumococcal disease (PD) in immunocompetent individuals include comorbidities, behavioral habits, or living in a community with increased risk of PD transmission. RF stacking of comorbidities is associated with a higher incidence of PD, approaching that of immunocompromised individuals. Pneumococcal vaccination of certain adults is recommended with the 23-valent pneumococcal polysaccharide vaccine (PPSV23) alone/sequentially with pneumococcal conjugate vaccine (PCV). V114, an investigational 15-valent PCV, contains 2 epidemiologically important serotypes (STs), 22F and 33F, in addition to the 13 STs in 13-valent PCV (PCV13).

Methods

PNEU-DAY was a Phase 3 study evaluating V114 or PCV13 administered on Day 1, and PPSV23 given 6 months later, in adults aged 18–49 years with or without RFs. This subgroup analysis assessed safety, tolerability, and immunogenicity of V114 and PCV13 based on the number of baseline PD RFs, which included chronic liver, lung, and heart disease, diabetes mellitus, tobacco use, and alcohol consumption. Adverse events (AEs; overall and solicited) were collected after each vaccination. Immunogenicity assessment was based on ST-specific opsonophagocytic activity (OPA) at 30 days after each vaccination. Subgroup analyses were conducted by RF group (0, 1, or ≥2 RFs for PD).

Results

Among the 1515 participants randomized to V114 (n=1135) or PCV13 (n=380), 25.2% had no RFs, 54.7% had 1 RF and 20.1% had ≥2 RFs for PD at baseline. The proportions of participants with solicited AEs following V114/PCV13 and PPSV23 were comparable across the 3 subgroups, with injection-site pain, myalgia, and fatigue being the most common. V114 and PCV13 were immunogenic in all subgroups based on OPA geometric mean titers (GMTs) at 30 days post-vaccination for the 13 shared STs (Figure); in addition, V114 induced a robust immune response to the 2 unique STs (22F, 33F) in all subgroups. PPSV23 following PCV was immunogenic for all 15 STs contained in V114 across all subgroups.

Figure. Serotype-specific OPA GMTs at baseline and 30 days post-vaccination with V114 and PCV13 by number of baseline risk factors (per-protocol population)

Conclusion

V114 administered alone/sequentially with PPSV23 is well tolerated and immunogenic for all 15 vaccine STs, including those not contained in PCV13, in immunocompetent adults aged 18–49 years, regardless of the number of baseline RFs.

Disclosures

Laura Hammitt, MD, MedImmune (Grant/Research Support, Scientific Research Study Investigator, Research Grant or Support)Merck & Co., Inc. (Grant/Research Support, Scientific Research Study Investigator, Research Grant or Support)Novavax (Grant/Research Support, Scientific Research Study Investigator, Research Grant or Support)Pfizer (Grant/Research Support, Scientific Research Study Investigator, Research Grant or Support) Francisco J. Pasquel, MD, MPH, Boehringer Ingelheim (Consultant)Dexcom (Grant/Research Support)Eli Lilly & Company (Consultant)Insulet (Grant/Research Support)Merck & Co., Inc. (Consultant, Grant/Research Support) K. Rajender Reddy, MD, BMS (Grant/Research Support)Deciphera (Advisor or Review Panel member)Gilead (Grant/Research Support)Grifols (Grant/Research Support)HCC-TARGET (Grant/Research Support)Intercept (Grant/Research Support)Mallinckrodt (Grant/Research Support, Advisor or Review Panel member)NASH-TARGET (Grant/Research Support)Pfizer (Advisor or Review Panel member)Sequana (Grant/Research Support) Ron Dagan, MD, Medimmune/AstraZeneca (Grant/Research Support, Scientific Research Study Investigator, Research Grant or Support)MSD (Consultant, Grant/Research Support, Scientific Research Study Investigator, Advisor or Review Panel member, Research Grant or Support, Speaker’s Bureau)Pfizer (Consultant, Grant/Research Support, Scientific Research Study Investigator, Advisor or Review Panel member, Research Grant or Support, Speaker’s Bureau) Rachel Dawson, D.O. MPH, Merck & Co., Inc. (Employee, Shareholder) Jennifer McCauley, BSc, Merck & Co., Inc. (Employee) Kyeongmi Cheon, Ph.D., Merck & Co., Inc. (Employee, Shareholder) Alison Pedley, PhD, Merck & Co., Inc. (Employee) Tina Sterling, BS, Merck & Co., Inc. (Employee, Shareholder) Gretchen Tamms, B.S., Merck Sharp and Dohme (Employee, Shareholder) Luwy Musey, MD, Merck & Co., Inc. (Employee) Ulrike K. Buchwald, MD, MS, Merck & Co., Inc. (Employee)TB Alliance (Employee)

Association between hyperglycemia treatment and mortality in patients with diabetes and COVID-19 in a Peruvian hospital: A retrospective cohort study

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Very limited information about inpatient glycemic control or anti-hyperglycemic treatment strategies is available from low- and middle-income countries, such as Peru.

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We observed a high mortality (39,1%) among patients with diabetes and COVID-19 in a Peruvian hospital. After admission, sliding scale insulin therapy was the most common treatment approach for hospitalized patients with diabetes and COVID-19.

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Early and continuous use of sliding scale insulin alone was associated with higher mortality compared to fixed-dose insulin regimens.

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In the context of COVID-19 pandemic, the use of the sliding scale insulin alone is frequent and its early and continuous use may be associated with higher in-hospital mortality, its use should be discouraged. Fixed-dose insulin is recommended, after an individualized evaluation.

Objective

To evaluate the association between hyperglycemia treatment and mortality in patients with diabetes and COVID-19 in a Peruvian hospital.

Methods

A retrospective cohort study was conducted between March and July 2020. Individual-level data were extracted from an implemented virtual platform. We included patients with type 2 diabetes hospitalized with COVID-19. The assessed outcome was in-hospital mortality. The Independent variable of interest was hyperglycemic treatment. We used Poisson regressions with robust variance to obtain crude and adjusted relative risks (RR) and their 95% confidence intervals (95% CI).

Results

Out of 1635 patients hospitalized for COVID-19 during the study period, 248 patients with diabetes mellitus were included. The majority were men (66.9%), the median age was 62 years. Ninety-seven patients died in the hospital (39.1%). The median glycemia on admission was 222.5 mg/dL. At 48 h after hospital admission, 125 patients (50.4%) received sliding scale insulin alone (SSI), 46 (18.5%) received a fixed-dose insulin regimen. In the adjusted analysis, the group with SSI at 48 h of hospitalization had higher mortality than those with fixed-dose insulin (adjusted RR: 1.69; 95% CI: 1.01 – 2.83), and those and who continued with SSI in the following days had higher mortality compared to the group that switched to fixed-dose insulin (adjusted RR: 1.64; 95% CI: 1.17 – 2.32).

Conclusion

Among assessed patients with diabetes and COVID-19, more than a third died during hospitalization. Early and continuous use of the sliding scale was associated with higher mortality compared to fixed-dose insulin regimens.

Characteristics associated with early- vs. later-onset adult diabetes: The CARDIA study

AIMS

Differences in risk profiles for individuals with early- (<40 years old) vs. later-onset (≥40 years old) diabetes were examined.

METHODS

A nested case-comparison study design using 30-year longitudinal data from the Coronary Artery Risk Development in Young Adults (CARDIA) study was used. Survey data (socio-demographics, family history, medical records, and lifestyle behaviors), obesity-related measures (body mass index, weight), blood pressure, and laboratory data (insulin, fasting glucose, 2-h glucose, and lipids) were used to examine progression patterns of diabetes development in those with early-onset vs. later-onset diabetes.

RESULTS

Of 605 participants, 120 were in early-onset group while 485 were in later-onset group. Early-onset group had a lower A Priori Diet Quality Score, but not statistically significant at baseline; however, the between-group difference became significant at the time that diabetes was first detected (p = 0.026). The physical activity intensity score consistently decreased from baseline to the development of diabetes in both the early- and later-onset groups. Early-onset group showed more dyslipidemia at baseline and at the time that diabetes was first detected, and rapid weight gain from baseline to the development of diabetes.

CONCLUSIONS

Emphases on lifestyle modification and risk-based diabetes screening in asymptomatic young adults are necessary for early detection and prevention.

Clinical Trials of COVID-19 Therapies Should Account for Diabetes and Hyperglycemia

Complications of Coronavirus Disease 2019 (COVID-19) occur with increased frequency in people admitted to the hospital with diabetes or hyperglycemia. The increased risk for COVID-19 infections in the presence of these metabolic conditions is in part due to overlapping pathophysiologic features of COVID-19, diabetes, and glucose control. Various antiviral treatments are being tested in COVID-19 patients. We believe that in these trials, it will be useful to evaluate treatment effect differences in patients stratified according to whether they have diabetes or hyperglycemia. In this way, it will be possible to better facilitate development of antiviral treatments that are most specifically beneficial for the large subset of COVID-19 patients who have diabetes or hyperglycemia.

Advances in Pharmacotherapeutics, Metabolic Surgery, and Technology for Diabetes

Remarkable advances in diabetes management have occurred since the discovery of insulin 100 years ago. Advances across a therapeutic spectrum, including pharmacotherapy, metabolic surgery, and diabetes technology, offer superior treatment options for diabetes management. New medication classes (glucagon-like peptide-1 receptor analogs and SGLT-2 inhibitors) have demonstrated cardiorenal benefits beyond glycemic control in type 2 diabetes mellitus, while evolving metabolic surgical interventions also help patients achieve diabetes remission. The use of artificial pancreas systems has shown consistent improvement in glycemic control in type 1 diabetes mellitus. It is time for policy changes to expand access to such advantageous therapies.

Accuracy of Dexcom G6 Continuous Glucose Monitoring in Non-Critically Ill Hospitalized Patients With Diabetes

OBJECTIVE

Advances in continuous glucose monitoring (CGM) have transformed ambulatory diabetes management. Until recently, inpatient use of CGM has remained investigational, with limited data on its accuracy in the hospital setting.

RESEARCH DESIGN AND METHODS

To analyze the accuracy of Dexcom G6, we compared retrospective matched-pair CGM and capillary point-of-care (POC) glucose data from three inpatient CGM studies (two interventional and one observational) in general medicine and surgery patients with diabetes treated with insulin. Analysis of accuracy metrics included mean absolute relative difference (MARD), median absolute relative difference (ARD), and proportion of CGM values within 15, 20, and 30% or 15, 20, and 30 mg/dL of POC reference values for blood glucose >100 mg/dL or ≤100 mg/dL, respectively (% 15/15, % 20/20, % 30/30). Clinical reliability was assessed with Clarke error grid (CEG) analyses.

RESULTS

A total of 218 patients were included (96% with type 2 diabetes) with a mean age of 60.6 ± 12 years. The overall MARD (n = 4,067 matched glucose pairs) was 12.8%, and median ARD was 10.1% (interquartile range 4.6, 17.6]. The proportions of readings meeting % 15/15, % 20/20, and % 30/30 criteria were 68.7, 81.7, and 93.8%, respectively. CEG analysis showed 98.7% of all values in zones A and B. MARD and median ARD were higher in the case of hypoglycemia (<70 mg/dL) and severe anemia (hemoglobin <7 g/dL).

CONCLUSIONS

Our results indicate that CGM technology is a reliable tool for hospital use and may help improve glucose monitoring in non-critically ill hospitalized patients with diabetes.

Biochemical Parameters of Diabetes Ketoacidosis in Patients with End-stage Kidney Disease and Preserved Renal Function

INTRODUCTION

Differences in biochemical parameters of diabetic ketoacidosis in patients with end-stage kidney disease (ESKD) has not been established. Accordingly, we assessed the relationship between degree of metabolic acidosis and ß-hydroxybutyrate in patients with ESKD (eGFR < 15 mL/min/1.73 m2), moderate renal failure (eGFR 15-60), or preserved renal function (eGFR > 60).

METHODS

This observational study included adults (18-80 years) with diabetes ketoacidosis (DKA), admitted to Emory University Hospitals between January 1, 2006 to December 31, 2016. DKA and renal stages were confirmed on admission laboratory values.

RESULTS

Admission bicarbonate levels (13.9 ± 5 vs 13.4 ± 5.3 vs 13.8 ± 4.2 mmol/L, P = 0.7), and pH levels (7.2 ± 0.3 vs 7.2 ± 0.2 vs 7.2 ± 0.2, P = 0.8) were similar among groups. Patients with ESKD had lower mean ß-hydroxybutyrate level (4.3 ± 3.3 vs 5.6 ± 2.9 vs 5.9 ± 2.5 mmol/L, P = 0.01), but higher admission glucose (852 ± 340.4 vs 714.6 ± 253.3 mg/dL vs 518 ± 185.7 mg/dL, P < 0.01), anion gap (23.4 ± 7.6 vs 23 ± 6.9 vs 19.5 ± 4.7 mmol/L, P < 0.01), and osmolality (306 ± 20.6 vs 303.5 ± vs 293.1 ± 3.1mOsm/kg, P < 0.01) compared with patients with moderate renal failure and preserved renal function, respectively. The sensitivity of ß-hydroxybutyrate > 3 mmol/L for diagnosing DKA by bicarbonate level < 15 and <18 mmol/L was 86.9% and 72% in ESKD, 89.3% and 83.7% in moderate renal failure, and 96.2% and 88.3% in preserved renal function. In patients with ESKD, the corresponding ß-hydroxybutyrate with bicarbonate levels < 10, 10-15, <18 mmol/L were 5.5, 3.9, 3.0 mmol/L, respectively.

CONCLUSIONS

Significant metabolic differences were found among DKA patients with different levels of renal function. In patients with ESKD, a ß-hydroxybutyrate level > 3 mmol/L may assist with confirmation of DKA diagnosis.

Liraglutide hospital discharge trial: A randomized controlled trial comparing the safety and efficacy of liraglutide versus insulin glargine for the management of patients with type 2 diabetes after hospital discharge

AIM

To compare a glucagon-like peptide-1 receptor agonist with basal insulin at hospital discharge in patients with uncontrolled type 2 diabetes in a randomized clinical trial.

METHODS

A total of 273 patients with glycated haemoglobin (HbA1c) 7%-10% (53-86 mol/mol) were randomized to liraglutide (n = 136) or insulin glargine (n = 137) at hospital discharge. The primary endpoint was difference in HbA1c at 12 and 26 weeks. Secondary endpoints included hypoglycaemia, changes in body weight, and achievement of HbA1c <7% (53 mmol/mol) without hypoglycaemia or weight gain.

RESULTS

The between-group difference in HbA1c at 12 weeks and 26 weeks was -0.28% (95% CI -0.64, 0.09), and at 26 weeks it was -0.55%, (95% CI -1.01, -0.09) in favour of liraglutide. Liraglutide treatment resulted in a lower frequency of hypoglycaemia <3.9 mmol/L (13% vs 23%; P = 0.04), but there was no difference in the rate of clinically significant hypoglycaemia <3.0 mmol/L. Compared to insulin glargine, liraglutide treatment was associated with greater weight loss at 26 weeks (-4.7 ± 7.7 kg vs -0.6 ± 11.5 kg; P < 0.001), and the proportion of patients with HbA1c <7% (53 mmol/mol) without hypoglycaemia was 48% versus 33% (P = 0.05) at 12 weeks and 45% versus 33% (P = 0.14) at 26 weeks in liraglutide versus insulin glargine. The proportion of patients with HbA1c <7% (53 mmol/mol) without hypoglycaemia and no weight gain was higher with liraglutide at 12 (41% vs 24%, P = 0.005) and 26 weeks (39% vs 22%; P = 0.014). The incidence of gastrointestinal adverse events was higher with liraglutide than with insulin glargine (P < 0.001).

CONCLUSION

Compared to insulin glargine, treatment with liraglutide at hospital discharge resulted in better glycaemic control and greater weight loss, but increased gastrointestinal adverse events.

Euglycemic Diabetic Ketoacidosis Secondary to SGLT2-inhibitor Use in Combination With a Ketogenic Diet

Sodium-glucose cotransporter 2 (SGLT-2) inhibitors are cardiorenal protective agents increasingly used in patients with diabetes. Cases of euglycemic diabetic ketoacidosis (euDKA) have been reported particularly among patients with type 1 diabetes. Our case is an example that highlights the role SGLT-2 inhibitors play in the development of euDKA in a patient with type 2 diabetes with confounding factors of strict adherence to a ketogenic diet and ankle fracture.

A 72-year-old female with a history of type 2 diabetes presented to the emergency department (ED) with right ankle pain and obvious deformity after a mechanical fall. Radiography of the right lower extremity confirmed distal fracture of the tibia and fibula. After reduction of her fracture in the ED, she was admitted in anticipation of an open reduction internal fixation. Her diabetes was controlled on empagliflozin monotherapy and adhering to a ketogenic diet. She monitored her blood ketones daily at home and reported values in the 3–4 mmol/L range. On admission, her basic metabolic panel (BMP) revealed a blood glucose of 148 mg/dL, bicarbonate of 20 mEq/L, anion gap of 18 mEq/L, Cr of 1.3 mg/dl, and eGFR of 40 mL/min. Her beta-hydroxybutyrate (BHB) was 5.09 mmol/L. The initial assessment was presumed starvation ketosis.

On hospital day three, she complained of continued nausea, polydipsia, and abdominal pain. Chart review revealed nocturia with approximately 3–4 voids per night. Repeat BMP showed a blood glucose of 152 mg/dL, bicarbonate of 16 mEq/L, anion gap still at 18 mEq/L, Cr 1.4 mg/dl, and eGFR of 37 mL/min. Since admission, all of her blood glucose levels ranged between 118–178 mg/dL. She denied dyspnea but exhibited Kussmaul respirations on physical exam. Repeat labs revealed a BHB of 8.92 mmol/L, and arterial blood gas (ABG) showed pH 7.2, pCO2 23, pO2 100, bicarbonate 8.6 mEq/L, consistent with high-anion gap metabolic acidosis, confirming the diagnosis of euDKA. Her empagliflozin had been held since admission, but she had not received any insulin up to this point due to euglycemia. She was immediately started on a weight-based dose of 12 units of insulin glargine with subsequent improvement of her BHB and anion gap.

This patient’s use of an SGLT2-inhibitor in combination with her being on a ketogenic diet, contributed to a nonregulated state of ketone production leading to euDKA in the perioperative period. As SGLT2-inhibitors become more readily available, it is important to educate physicians and patients about the risk of euDKA during fasting, ketogenic diets, and the perioperative period.

Remote Continuous Glucose Monitoring With a Computerized Insulin Infusion Protocol for Critically Ill Patients in a COVID-19 Medical ICU: Proof of Concept

OBJECTIVE

The use of remote real-time continuous glucose monitoring (CGM) in the hospital has rapidly emerged to preserve personal protective equipment and reduce potential exposures during coronavirus disease 2019 (COVID-19).

RESEARCH DESIGN AND METHODS

We linked a hybrid CGM and point-of-care (POC) glucose testing protocol to a computerized decision support system for continuous insulin infusion and integrated a validation system for sensor glucose values into the electronic health record. We report our proof-of-concept experience in a COVID-19 intensive care unit.

RESULTS

All nine patients required mechanical ventilation and corticosteroids. During the protocol, 75.7% of sensor values were within 20% of the reference POC glucose with an associated average reduction in POC of 63%. Mean time in range (70-180 mg/dL) was 71.4 ± 13.9%. Sensor accuracy was impacted by mechanical interferences in four patients.

CONCLUSIONS

A hybrid protocol integrating real-time CGM and POC is helpful for managing critically ill patients with COVID-19 requiring insulin infusion.

Continuous Glucose Monitoring in the Intensive Care Unit During the COVID-19 Pandemic

OBJECTIVE

Real-time continuous glucose monitoring (rtCGM) in critically ill hospitalized patients holds promise; however, real-world data are needed.

RESEARCH DESIGN AND METHODS

We placed Dexcom G6 CGM on intensive care unit (ICU) patients at Montefiore Medical Center with confirmed coronavirus disease 2019 (COVID-19) infection and glycemic variability. We analyzed inpatient CGM accuracy using point-of-care (POC) glucose-CGM matched pairs and included patients for analysis regardless of clinical status.

RESULTS

We included 11 patients with CGM: 8 on continuous insulin infusion (CII), 8 on vasopressors, 8 intubated, 4 on high-dose glucocorticoids, 6 on renal replacement therapy, and 2 with anasarca. Accuracy was 12.58% for mean and 6.3% for median absolute relative difference. CGM reduced POC testing by ∼60% for patients on CII.

CONCLUSIONS

In this real-world preliminary analysis of rtCGM during critical illness, we demonstrate early feasibility, considerable accuracy, and meaningful reduction in the frequency of POC glucose testing.

Management of diabetes and hyperglycaemia in the hospital

Hyperglycaemia in people with and without diabetes admitted to the hospital is associated with a substantial increase in morbidity, mortality, and health-care costs. Professional societies have recommended insulin therapy as the cornerstone of inpatient pharmacological management. Intravenous insulin therapy is the treatment of choice in the critical care setting. In non-intensive care settings, several insulin protocols have been proposed to manage patients with hyperglycaemia; however, meta-analyses comparing different treatment regimens have not clearly endorsed the benefits of any particular strategy. Clinical guidelines recommend stopping oral antidiabetes drugs during hospitalisation; however, in some countries continuation of oral antidiabetes drugs is commonplace in some patients with type 2 diabetes admitted to hospital, and findings from clinical trials have suggested that non-insulin drugs, alone or in combination with basal insulin, can be used to achieve appropriate glycaemic control in selected populations. Advances in diabetes technology are revolutionising day-to-day diabetes care and work is ongoing to implement these technologies (ie, continuous glucose monitoring, automated insulin delivery) for inpatient care. Additionally, transformations in care have occurred during the COVID-19 pandemic, including the use of remote inpatient diabetes management-research is needed to assess the effects of such adaptations.

Characteristics of and Mortality Associated With Diabetic Ketoacidosis Among US Patients Hospitalized With or Without COVID-19

This cohort study analyzed inpatient data from multiple US hospitals to characterize patients with and without coronavirus disease (COVID-19) who had diabetic ketoacidosis.

Sitagliptin for the prevention and treatment of perioperative hyperglycaemia in patients with type 2 diabetes undergoing cardiac surgery: A randomized controlled trial

AIM

To assess whether treatment with sitagliptin, starting before surgery and continued during the hospital stay, can prevent and reduce the severity of perioperative hyperglycaemia in patients with type 2 diabetes undergoing coronary artery bypass graft (CABG) surgery.

MATERIALS AND METHODS

We conducted a double-blinded, placebo-controlled trial in adults with type 2 diabetes randomly assigned to receive sitagliptin or matching placebo starting 1 day prior to surgery and continued during the hospital stay. The primary outcome was difference in the proportion of patients with postoperative hyperglycaemia (blood glucose [BG] > 10 mmol/L [>180 mg/dL]) in the intensive care unit (ICU). Secondary endpoints included differences in mean daily BG in the ICU and after transition to regular wards, hypoglycaemia, hospital complications, length of stay and need of insulin therapy.

RESULTS

We included 182 participants randomized to receive sitagliptin or placebo (91 per group, age 64 ± 9 years, HbA1c 7.6% ± 1.5% and diabetes duration 10 ± 9 years). There were no differences in the number of patients with postoperative BG greater than 10 mmol/L, mean daily BG in the ICU or after transition to regular wards, hypoglycaemia, hospital complications or length of stay. There were no differences in insulin requirements in the ICU; however, sitagliptin therapy was associated with lower mean daily insulin requirements (21.1 ± 18.4 vs. 32.5 ± 26.3 units, P = .007) after transition to a regular ward compared with placebo.

CONCLUSION

The administration of sitagliptin prior to surgery and during the hospital stay did not prevent perioperative hyperglycaemia or complications after CABG. Sitagliptin therapy was associated with lower mean daily insulin requirements after transition to regular wards.

Association Between Achieving Inpatient Glycemic Control and Clinical Outcomes in Hospitalized Patients With COVID-19: A Multicenter, Retrospective Hospital-Based Analysis

OBJECTIVE

Diabetes and hyperglycemia are important risk factors for poor outcomes in hospitalized patients with coronavirus disease 2019 (COVID-19). We hypothesized that achieving glycemic control soon after admission, in both intensive care unit (ICU) and non-ICU settings, could affect outcomes in patients with COVID-19.

RESEARCH DESIGN AND METHODS

We analyzed pooled data from the Glytec national database including 1,544 patients with COVID-19 from 91 hospitals in 12 states. Patients were stratified according to achieved mean glucose category in mg/dL (≤7.77, 7.83-10, 10.1-13.88, and >13.88 mmol/L; ≤140, 141-180, 181-250, and >250 mg/dL) during days 2-3 in non-ICU patients or on day 2 in ICU patients. We conducted a survival analysis to determine the association between glucose category and hospital mortality.

RESULTS

Overall, 18.1% (279/1,544) of patients died in the hospital. In non-ICU patients, severe hyperglycemia (blood glucose [BG] >13.88 mmol/L [250 mg/dL]) on days 2-3 was independently associated with high mortality (adjusted hazard ratio [HR] 7.17; 95% CI 2.62-19.62) compared with patients with BG <7.77 mmol/L (140 mg/dL). This relationship was not significant for admission glucose (HR 1.465; 95% CI 0.683-3.143). In patients admitted directly to the ICU, severe hyperglycemia on admission was associated with increased mortality (adjusted HR 3.14; 95% CI 1.44-6.88). This relationship was not significant on day 2 (HR 1.40; 95% CI 0.53-3.69). Hypoglycemia (BG <70 mg/dL) was also associated with increased mortality (odds ratio 2.2; 95% CI 1.35-3.60).

CONCLUSIONS

Both hyperglycemia and hypoglycemia were associated with poor outcomes in patients with COVID-19. Admission glucose was a strong predictor of death among patients directly admitted to the ICU. Severe hyperglycemia after admission was a strong predictor of death among non-ICU patients.

Comparison of the FreeStyle Libre Pro Flash Continuous Glucose Monitoring (CGM) System and Point-of-Care Capillary Glucose Testing in Hospitalized Patients With Type 2 Diabetes Treated With Basal-Bolus Insulin Regimen

OBJECTIVE

We compared the performance of the FreeStyle Libre Pro continuous glucose monitoring (CGM) and point-of-care capillary glucose testing (POC) among insulin-treated hospitalized patients with type 2 diabetes (T2D).

RESEARCH DESIGN AND METHODS

This was a prospective study in adult patients with T2D admitted to general medicine and surgery wards. Patients were monitored with POC before meals and bedtime and with CGM during the hospital stay. Study end points included differences between POC and CGM in mean daily blood glucose (BG), hypoglycemia <70 and <54 mg/dL, and nocturnal hypoglycemia. We also calculated the mean absolute relative difference (MARD), ±15%/15 mg/dL, ±20%/20 mg/dL, and ±30%/30 mg/dL and error grid analysis between matched glucose pairs.

RESULTS

Mean daily glucose was significantly higher by POC (188.9 ± 37.3 vs. 176.1 ± 46.9 mg/dL) with an estimated mean difference of 12.8 mg/dL (95% CI 8.3-17.2 mg/dL), and proportions of patients with glucose readings <70 mg/dL (14% vs. 56%) and <54 mg/dL (4.1% vs. 36%) detected by POC BG were significantly lower compared with CGM (all P < 0.001). Nocturnal and prolonged CGM hypoglycemia <54 mg/dL were 26% and 12%, respectively. The overall MARD was 14.8%, ranging between 11.4% and 16.7% for glucose values between 70 and 250 mg/dL and higher for 51-69 mg/dL (MARD 28.0%). The percentages of glucose readings within ±15%/15 mg/dL, ±20%/20 mg/dL, and ±30%/30 mg/dL were 62%, 76%, and 91%, respectively. Error grid analysis showed 98.8% of glucose pairs within zones A and B.

CONCLUSIONS

Compared with POC, FreeStyle Libre CGM showed lower mean daily glucose and higher detection of hypoglycemic events, particularly nocturnal and prolonged hypoglycemia in hospitalized patients with T2D. CGM's accuracy was lower in the hypoglycemic range.

Management of Inpatient Hyperglycemia and Diabetes in Older Adults

Diabetes is one of the world's fastest growing health challenges. Insulin therapy remains a useful regimen for many elderly patients, such as those with moderate to severe hyperglycemia, type 1 diabetes, hyperglycemic emergencies, and those who fail to maintain glucose control on non-insulin agents alone. Recent clinical trials have shown that several non-insulin agents as monotherapy, or in combination with low doses of basal insulin, have comparable efficacy and potential safety advantages to complex insulin therapy regimens. Determining the most appropriate diabetes management plan for older hospitalized patients requires consideration of many factors to prevent poor outcomes related to dysglycemia.

Preparedness cycle to address transitions in diabetes care during the COVID-19 pandemic and future outbreaks

The COVID-19 pandemic is considered a mass casualty incident of the most severe nature leading to unearthed uncertainties around management, prevention, and care. As of July 2020, more than twelve million people have tested positive for COVID-19 globally and more than 500 000 people have died. Patients with diabetes are among the most severely affected during this pandemic. Healthcare systems have made emergent changes to adapt to this public health crisis, including changes in diabetes care. Adaptations in diabetes care in the hospital (ie, changes in treatment protocols according to clinical status, diabetes technology implementation) and outpatient setting (telemedicine, mail delivery, patient education, risk stratification, monitoring) have been improvised to address this challenge. We describe how to respond to the current public health crisis focused on diabetes care in the USA. We present strategies to address and evaluate transitions in diabetes care occurring in the immediate short-term (ie, response and mitigation), as well as phases to adapt and enhance diabetes care during the months and years to come while also preparing for future pandemics (ie, recovery, surveillance, and preparedness). Implementing multidimensional frameworks may help identify gaps in care, alleviate initial demands, mitigate potential harms, and improve implementation strategies and outcomes in the future.

Safety And Efficacy Of Dpp-4 Inhibitors For The Management Of Hospitalized General Medicine And Surgery Patients with Type 2 Diabetes

OBJECTIVE

DPP-4 inhibitors (DPP-4i) have been shown to be effective for the management of inpatient diabetes. We report pooled data from 3 prospective studies using DPP-4i in general medicine and surgery patients with type 2 diabetes (T2D).

METHODS

We combined data from 3 randomized studies comparing DPP-4i alone or in combination with basal insulin or a basal-bolus insulin regimen. Medicine (n = 266) and surgery (n = 319) patients admitted with a blood glucose (BG) between 140 and 400 mg/dL, treated with diet, oral agents, or low-dose insulin therapy were included. Patients received DPP-4i alone (n = 144), DPP-4i plus basal insulin (n = 158) or basal-bolus regimen (n = 283). All groups received correctional doses with rapid-acting insulin for BG >140 mg/dL. The primary endpoint was differences in mean daily BG between groups. Secondary endpoints included differences in hypoglycemia and hospital complications.

RESULTS

There were no differences in mean hospital daily BG among patients treated with DPP-4i alone (170 ± 37 mg/dL), DPP-4i plus basal (172 ± 42 mg/dL), or basalbolus (172 ± 43 mg/dL), P = .94; or in the percentage of BG readings within target of 70 to 180 mg/dL (63 ± 32%, 60 ± 31%, and 64 ± 28%, respectively; P = .42). There were no differences in length of stay or complications, but hypoglycemia was less common with DPP-4i alone (2%) compared to DPP-4i plus basal (9%) and basal-bolus (10%); P = .004.

CONCLUSION

Treatment with DPP-4i alone or in combination with basal insulin is effective and results in a lower incidence of hypoglycemia compared to a basal-bolus insulin regimen in general medicine and surgery patients with T2D.

ABBREVIATIONS

BG = blood glucose; BMI = body mass index; CI = confidence interval; DPP-4i = dipeptidyl peptidase-4 inhibitors; HbA1c = hemoglobin A1c; OR = odds ratio; T2D = type 2 diabetes.

Implementation of Continuous Glucose Monitoring in the Hospital: Emergent Considerations for Remote Glucose Monitoring During the COVID-19 Pandemic

Continuous glucose monitoring (CGM) has become a widely used tool in the ambulatory setting for monitoring glucose levels, as well as detecting uncontrolled hyperglycemia, hypoglycemia, and glycemic variability. The accuracy of some CGM systems has recently improved to the point of manufacture with factory calibration and Food and Drug Administration clearance for nonadjunctive use to dose insulin. In this commentary, we analyze the answers to six questions about what is needed to bring CGM into the hospital as a reliable, safe, and effective tool. The evidence to date indicates that CGM offers promise as an effective tool for monitoring hospitalized patients. During the current coronavirus disease 2019 crisis, we hope to provide guidance to healthcare professionals, who are seeking to reduce exposure to SARS-Cov-2, as well as preserve invaluable personal protective equipment. In this commentary, we address who, what, where, when, why, and how CGM can be adopted for inpatient use.

Individualizing Inpatient Diabetes Management During the Coronavirus Disease 2019 Pandemic

Diabetes is associated with poor clinical outcomes in hospitalized patients with coronavirus disease 2019 (COVID-19). During this pandemic, many hospitals have already become overwhelmed around the world and are rapidly entering crisis mode. While there are global efforts to boost personal protective equipment (PPE) production, many centers are improvising care strategies, including the implementation of technology to prevent healthcare workers' exposures and reduce the waste of invaluable PPE. Not optimizing glycemic control due to clinical inertia driven by fear or lack of supplies may lead to poor outcomes in patients with diabetes and COVID-19. Individualized care strategies, novel therapeutic regimens, and the use of diabetes technology may reduce these barriers. However, systematic evaluation of these changes in care is necessary to evaluate both patient- and community-centered outcomes.

A Randomized Controlled Trial Comparing Glargine U300 and Glargine U100 for the Inpatient Management of Medicine and Surgery Patients With Type 2 Diabetes: Glargine U300 Hospital Trial

OBJECTIVE

The role of U300 glargine insulin for the inpatient management of type 2 diabetes (T2D) has not been determined. We compared the safety and efficacy of glargine U300 versus glargine U100 in noncritically ill patients with T2D.

RESEARCH DESIGN AND METHODS

This prospective, open-label, randomized clinical trial included 176 patients with poorly controlled T2D (admission blood glucose [BG] 228 ± 82 mg/dL and HbA1c 9.5 ± 2.2%), treated with oral agents or insulin before admission. Patients were treated with a basal-bolus regimen with glargine U300 (n = 92) or glargine U100 (n = 84) and glulisine before meals. We adjusted insulin daily to a target BG of 70-180 mg/dL. The primary end point was noninferiority in the mean difference in daily BG between groups. The major safety outcome was the occurrence of hypoglycemia.

RESULTS

There were no differences between glargine U300 and U100 in mean daily BG (186 ± 40 vs. 184 ± 46 mg/dL, P = 0.62), percentage of readings within target BG of 70-180 mg/dL (50 ± 27% vs. 55 ± 29%, P = 0.3), length of stay (median [IQR] 6.0 [4.0, 8.0] vs. 4.0 [3.0, 7.0] days, P = 0.06), hospital complications (6.5% vs. 11%, P = 0.42), or insulin total daily dose (0.43 ± 0.21 vs. 0.42 ± 0.20 units/kg/day, P = 0.74). There were no differences in the proportion of patients with BG <70 mg/dL (8.7% vs. 9.5%, P > 0.99), but glargine U300 resulted in significantly lower rates of clinically significant hypoglycemia (<54 mg/dL) compared with glargine U100 (0% vs. 6.0%, P = 0.023).

CONCLUSIONS

Hospital treatment with glargine U300 resulted in similar glycemic control compared with glargine U100 and may be associated with a lower incidence of clinically significant hypoglycemia.

Trends in Emergency Department Visits and Inpatient Admissions for Hyperglycemic Crises in Adults With Diabetes in the U.S., 2006-2015

OBJECTIVE

To report U.S. national population-based rates and trends in diabetic ketoacidosis (DKA) and hyperglycemic hyperosmolar state (HHS) among adults, in both the emergency department (ED) and inpatient settings.

RESEARCH DESIGN AND METHODS

We analyzed data from 1 January 2006 through 30 September 2015 from the Nationwide Emergency Department Sample and National Inpatient Sample to characterize ED visits and inpatient admissions with DKA and HHS. We used corresponding year cross-sectional survey data from the National Health Interview Survey to estimate the number of adults ≥18 years with diagnosed diabetes to calculate population-based rates for DKA and HHS in both ED and inpatient settings. Linear trends from 2009 to 2015 were assessed using Joinpoint software.

RESULTS

In 2014, there were a total of 184,255 and 27,532 events for DKA and HHS, respectively. The majority of DKA events occurred in young adults aged 18-44 years (61.7%) and in adults with type 1 diabetes (70.6%), while HHS events were more prominent in middle-aged adults 45-64 years (47.5%) and in adults with type 2 diabetes (88.1%). Approximately 40% of the hyperglycemic events were in lower-income populations. Overall, event rates for DKA significantly increased from 2009 to 2015 in both ED (annual percentage change [APC] 13.5%) and inpatient settings (APC 8.3%). A similar trend was seen for HHS (APC 16.5% in ED and 6.3% in inpatient). The increase was in all age-groups and in both men and women.

CONCLUSIONS

Causes of increased rates of hyperglycemic events are unknown. More detailed data are needed to investigate the etiology and determine prevention strategies.

Clinical characteristics and outcomes of patients with end-stage renal disease hospitalized with diabetes ketoacidosis

INTRODUCTION

There is limited evidence to guide management in patients with end-stage renal disease (ESRD) on chronic hemodialysis admitted with diabetes ketoacidosis. Thus, we investigated the clinical characteristics and outcomes of patients with ESRD admitted with diabetic ketoacidosis (DKA).

METHODS

In this observational study, we used International Classification of Diseases Ninth/Tenth Revision codes to identify adult (aged 18-80 years) patients admitted to Emory University Hospitals between 1 January 2006 and 31 December 2016. DKA and ESRD diagnoses were confirmed by reviewing medical records and by admission laboratory results.

RESULTS

Among 307 patients with DKA meeting the inclusion and exclusion criteria, 22.1% (n: 68) had ESRD on hemodialysis and 77.9% (n: 239) had preserved renal function (estimated glomerular filtration rate >60 mL/min/1.73 m²). Compared with patients with preserved renal function, the admission blood glucose was higher (804.5±362.6 mg/dL vs 472.5±137.7 mg/dL) and the mean hemoglobin A1c was lower (9.6%±2.1 vs 12.0%±2.5) in patients with DKA and ESRD, both p<0.001. The rates of hypoglycemia <70 mg/dL (34% vs 14%, p=0.002) and <54 mg/dL (13% vs 5%, p=0.04) were higher in the ESRD group. During hospitalization, more patients with ESRD develop volume overload (28% vs 3%, p<0.001) and require mechanical ventilation (24% vs 3%, p=<0.001). There were no differences in hospital mortality (3% vs 0%, p=0.21), but length of stay (median 7.0 vs 3.0 days, p<0.001) was longer in the ESRD cohort. After adjusting for multiple covariates, patients with DKA and ESRD have higher odds of hypoglycemia (OR 3.3, 95% CI 1.51 to 7.21, p=0.003) and volume overload (OR 4.22, 95% CI 1.37 to 13.05, p=0.01) compared with patients with DKA with preserved renal function.

CONCLUSIONS

Patients with DKA and ESRD on chronic hemodialysis had worse clinical outcomes including higher rates of hypoglycemia, volume overload, need for mechanical ventilation and longer length of stay, compared with patients with preserved kidney function.