A Pilot Study of Youth With Type 1 Diabetes Initiating Use of a Hybrid Closed-Loop System While Receiving a Behavioral Economics Intervention

ObjectiveMany youth do not use the hybrid closed-loop system for type 1 diabetes effectively. This study evaluated the impact of financial incentives for diabetes-related tasks on use of the 670G hybrid closed-loop system and on glycemia.MethodsAt auto mode initiation and for 16 weeks thereafter, participants received a flat rate for wearing and calibrating the sensor ($1/day), administering at least 3 mealtime insulin boluses per day ($1/day), and uploading ($5/week). Weekly bonuses were given for maintaining at least 70% of the time in auto mode, which were increased for persistent auto mode use from $3/week to a maximum of $13/week. If a participant failed to maintain auto mode for a week, the rewards were reset to baseline. Data from 17 participants aged 15.9 years ± 2.5 years (baseline hemoglobin A1c [HbA1c] 8.6% ± 1.1%) were collected at 6, 12, and 16 weeks. The reinforcers were withdrawn at 16 weeks, with a follow-up assessment at 24 weeks.ResultsWith reinforcers, the participants administered an average of at least 3 mealtime insulin boluses per day and wore the sensor over 70% of the time. However, auto mode use waned. HbA1c levels decreased by 0.5% after 6 weeks, and this improvement was maintained at 12 and 16 weeks (P < .05). Upon withdrawal of reinforcers, HbA1c levels increased back to baseline at 24 weeks.ConclusionCompensation for diabetes-related tasks was associated with lower HbA1c levels, consistent administration of mealtime insulin boluses, and sustained sensor use. These results support the potential of financial rewards for improving outcomes in youth with type 1 diabetes.     

Type 1 Diabetes Mellitus and Lipohypertrophy - Impact of the Intervention on Glycemic Control via Patient’s Examination and Retraining on Change of Infusion Set

ObjectiveLipohypertrophy (LH) is a common complication of insulin therapy in type 1 diabetes mellitus (T1DM). We examined whether an intervention consisting of LH assessment and retraining on insulin infusion set use improves glycemic control on subcutaneous insulin infusion (CSII) in patients with T1DM.MethodsThe intervention was conducted in 79 consecutive patients with T1DM. Data on glucose levels, glycated hemoglobin (HbA1c), and insulin doses were collected at baseline and after a median of 22 weeks (20-31.75 weeks).ResultsA total of 46 patients with T1DM (23 [50%] women) participating in the follow-up were characterized by a median age of 29 years (25-33.8 years), body mass index of 24.6 ± 3.3 kg/m², T1DM duration of 16.5 years (8.3-20 years), and subcutaneous insulin infusion duration of 7 years (4-10.8 years). Patients’ median HbA1c fell from 7.4% (6.7%-8.2%) to 7.05% (6.4%-7.6%) (P < .001), daily insulin dose/kg decreased (0.7 ± 0.20 vs 0.68 ± 0.15 IU/kg; P = .017) together with the total daily insulin dose (50.3 [40.5-62.7] vs 47.6 [39.8-62.1] IU; P = .019]. Furthermore, the percentage of basal insulin dose increased (43.0% [36-50] vs 44.0% [39.0-50.0]; P = .010], whereas the percentage of bolus dose decreased (57% [50-64] vs 56% [50-61], P = .010).ConclusionsThe structured LH-related intervention in patients with T1DM on insulin pumps resulted in better glycemic control and a decrease in total daily insulin dose.     

Ultra Rapid-Acting Inhaled Insulin Improves Glucose Control in Patients With Type 2 Diabetes Mellitus

ObjectiveTo determine whether the use of an inhaled insulin would improve HbA1c.MethodsThis study was performed in 20 type 2 diabetes mellitus (T2DM) participants with HbA1c values ≥7.5 (58) to ≤11.5% (102 mmol/mol) on a variety of glucose-lowering regimens. Prandial Technosphere insulin (TI) was rapidly titrated based on a treatment algorithm using postprandial blood glucose to calculate premeal doses. A 2-week baseline period was followed by 12 weeks of active treatment with TI. The primary outcome was change in HbA1c. Secondary outcomes included glucose time in range (time in range: 70-180 mg/dL) obtained by a blinded continuous glucose monitoring during the baseline period and at the end of 12 weeks. Goals were to assess how to rapidly and safely initiate TI intensification, determine dosing requirements, and establish an effective dose range in uncontrolled T2DM.ResultsMean HbA1c decreased by −1.6% (−17 mmol/mol) from 9.0% (75 mmol/mol) at baseline to 7.4% (57 mmol/mol) at 12 weeks (P < .0001). Mean time in range increased from 42.2% to 65.7% (P < .0002). Mean prandial doses of TI were 18 or 19 units for all meals. Time below range was 1.1% baseline and 2.6% post treatment (P = .01).ConclusionTreatment with inhaled TI dosed using a simple algorithm improved glycemic control measured by both HbA1c and time in range, with low rates of hypoglycemia. These data add significantly to understanding TI in the management of T2DM patients for whom prandial insulin is a consideration.     

Validation of Diagnostic Coding for Diabetes Mellitus in Hospitalized Patients

ObjectiveSome studies have shown that there is an undercoding of diabetes mellitus among hospitalized patients, which can have adverse clinical and financial implications for health systems. We aimed to validate the discharge diagnostic coding of diabetes mellitus in hospitalized patients using clinical and laboratory-based diagnostic indicators as the reference.MethodsThis was a retrospective cohort study of 83 690 discharges of 48 615 unique adult patients who were hospitalized in an academic medical center over 4.5 years and had at least 4 blood glucose measurements during admission. A missing diabetes code (MDC) was defined using 2 criteria. MDC₁ was defined as the presence of any of the following: blood glucose ≥200 (x2), A1C ≥6.5%, home antihyperglycemic medication, or preadmission code for diabetes, whereas MDC₂ was defined as preadmission diabetes or at least 2 other criteria in MDC₁. Multivariable logistic regression was used to identify factors associated with MDC compared to the present diabetes code.ResultsMDC₁ and MDC₂ were present in 12 186 (14.6%) and 3542 (4.7%) discharges, respectively. Factors associated with both MDC₁ and MDC₂ were medium-dose steroid use [adjusted odds ratio (aOR) 2.11, 2.01], high-dose steroid use (aOR 4.70, 2.50), intermediate medical care service (aOR 1.65, 1.55), infection (aOR 1.21, 1.34), and hepatic disease (aOR 1.93, 1.92).ConclusionIn this retrospective study, MDC ranged from 5% to 15% and was associated with various clinical factors. Further prospective studies are needed to validate these findings, explore the mechanisms behind these associations, and understand the clinical and financial implications.     

Periodontal Disease in Type 1 Diabetes Mellitus: Influence of Pubertal Stage and Glycemic Control

ObjectiveThough gingivitis is common in children with type 1 diabetes mellitus (T1DM), the overall periodontal health in T1DM during the pubertal stage is less well-characterized. The study was undertaken to explore the possible influence of puberty and metabolic derangement on periodontal health in T1DM.MethodsIn this cross-sectional study, 110 subjects between 10-18 years with T1DM and 52 healthy siblings of similar age were evaluated for pubertal stage, glycosylated hemoglobin (HbA1c), and periodontal health. Simplified oral hygiene index (OHIS), gingival index (GI), plaque index (PI), bleeding on probing (BOP), and probing depth (PPD) were evaluated at 4 sites per tooth as per 6 Ramfjord index teeth used to assess periodontal disease (PD).ResultsPD not merely gingivitis was significantly higher in T1DM (84/110, 76.36%) than the control group (28/52, 53.8%) (P = .004). Irrespective of pubertal status, children with T1DM had worse GI, PI, BOP, and PPD than nondiabetic subjects, although OHIS was better in diabetes. In both T1DM and nondiabetic subjects, pubertal subjects showed significantly worse OHIS, PPD, BOP, and GI than prepubertal subjects. PD was correlated with pubertal stage, age, and HbA1c, although less strongly with the duration of diabetes. In logistic regression, pubertal stage was a stronger predictor of PD (OR = 14.26) than age (OR = 2.22), and HbA1c (OR = 1.5) rather than the presence of diabetes and its duration.ConclusionsThough pubertal status, age, and poor glycemic control rather than the presence of diabetes and its duration are associated with gingivitis and other forms of PD, puberty had a more profound effect in the pathogenesis of PD in T1DM.     

Exenatide Twice Daily Plus Glargine Versus Aspart 70/30 Twice Daily in Patients With Type 2 Diabetes With Inadequate Glycemic Control on Premixed Human Insulin and Metformin

ObjectiveMany patients with type 2 diabetes treated with premixed insulin gradually have inadequate glycemic control and switch to a basal-bolus regimen, which raises some concerns for weight gain and increased hypoglycemic risk. Switching to combination use of glp-1 agonist and basal insulin may be an alternative option.MethodsAfter a 12-week premixed human insulin 70/30 dosage optimization period, 200 patients with HbA1c of 7.0% to 10.0% were randomized into 24-week treatment groups with exenatide twice a day plus glargine or with aspart 70/30 twice a day.ResultsAfter 24 weeks, the patients receiving exenatide plus glargine (n = 90) had improved HbA1c control compared with those receiving aspart 70/30 (n = 90) (least squares mean change: ‒0.59 vs ‒0.13%; difference [95% CI]: ‒0.45 [‒0.74 to ‒0.17]) in the full analysis set population. Weight decreased 3.5 kg with exenatide and decreased 0.4 kg with aspart 70/30 (P < .001). The insulin dose was reduced 10.7 units/day (95% CI, ‒12.2 to ‒9.2 units; P < .001) with exenatide, and increased 9.7 units/day (95% CI, 8.2 to 11.2 units; P < .001) with aspart 70/30. The most common adverse events were gastrointestinal adverse effects in the exenatide group (nausea [21%], vomiting [16%], diarrhea [13%]). The incidence of hypoglycemia was similar in 2 groups (27% for exenatide and 38% for aspart 70/30; P = .1).ConclusionIn premixed human insulin‒treated patients with type 2 diabetes with inadequate glycemic control, switching to exenatide twice a day plus glargine was superior to aspart 70/30 twice a day for glycemic and weight control.     

Association Between a Low-Carbohydrate Diet,Glycemic Control,and Quality of Life in Australian Adults Living With Type 1 Diabetes: A Pilot Study

ObjectiveTo examine if there is an association between a low-carbohydrate diet (LCD), glycemic control, and quality of life (QoL) in Australian adults with type 1 diabetes.MethodsThis single-group, pre-post, mixed methods (quantitative and qualitative) study was conducted in an outpatient tertiary hospital. Eligible participants were those aged ≥18 years, with type 1 diabetes for ≥1 year, and using multiple daily insulin injections. Participants followed a 12-week individualized LCD (<100 g/d). Daily glucose levels were monitored using a continuous glucose monitor. Glycated hemoglobin (HbA1c) and QoL were measured preintervention and postintervention. A post-hoc exploratory regression analysis determined whether changes in carbohydrate intake was associated with changes in HbA1c and QoL. Qualitative data collected postintervention explored participants’ perceptions relating to a LCD, glycemic control, and QoL.ResultsParticipants (n = 22) completed the 12-week LCD intervention. An LCD provided a statistically, significant improvement in HbA1c 0.83% (95% CI 0.32%-1.33%), P = .003 but did not impact QoL: estimated change 1.14 units (95% CI: ?5.34 to 7.61); P = .72. The post-hoc exploratory regression analysis showed that participants with poorer baseline glycemic control were more likely to respond to an LCD resulting in significant reductions in HbA1c. Participant perceptions relating to the study variables were mixed.ConclusionsAn LCD (<100 g/d) is a potentially effective and safe strategy to improve glycemic control without negatively effecting QoL in Australian adults with type 1 diabetes.     

Correlation Between Hemoglobin Glycation Index Measured by Continuous Glucose Monitoring With Complications in Type 1 Diabetes

ObjectiveHbA1C is the “gold standard” parameter to evaluate glycemic control in diabetes; however, its correlation with mean glucose is not always perfect. The objective of this study was to correlate continuous glucose monitoring (CGM)-derived hemoglobin glycation index (HGI) with microvascular complications.MethodsWe conducted a cross-sectional study including permanent users of CGM with type 1 diabetes mellitus or latent autoimmune diabetes of the adult. HGI was estimated, and presence of microvascular complications was compared in subgroups with high or low HGI. A logistic regression analysis to assess the contribution of high HGI to chronic kidney disease (CKD) was performed.ResultsIn total, 52 participants who were aged 39.7 ± 14.7 years, with 73.1% women and 15.5 years (IQR, 7.5-29 years) since diagnosis, were included; 32.7% recorded diabetic retinopathy, 25% CKD, and 19.2% neuropathy. The median HbA1C was 7.6% (60 mmol/mol) and glucose management indicator (GMI) 7.0% (53 mmol/mol). The average HGI was 0.55% ± 0.66%. The measured HbA1C was higher in the group with high HGI (8.1% [65 mmol/mol] vs 6.9% [52 mmol/mol]; P < .001), whereas GMI (7.0% [53 mmol/mol] vs 7.0% [53 mmol/mol]; P = .495) and mean glucose were similar in both groups (153 mg/dL vs 153 mg/dL; P = .564). In the high HGI group, higher occurrence of CKD (P = .016) and neuropathy were observed (P = .025). High HGI was associated with increased risk of CKD (odds ratio [OR]: 5.05; 95% CI: 1.02-24.8; P = .04) after adjusting for time since diagnosis (OR: 1.09; 95% CI: 1.02-1.16; P = .008).ConclusionHigh HGI measured by CGM may be a useful marker for increased risk of microvascular diabetic complications.     

Results of a 24-Week Trial of Technosphere Insulin Versus Insulin Aspart in Type 2 Diabetes

ObjectiveTo compare glycemic efficacy of Technosphere insulin (TI) versus that of insulin aspart (IA), each added to basal insulin, in type 2 diabetes.MethodsThis randomized, 24-week trial included subjects aged from 18 to 80 years who were treated with subcutaneous insulin for 3 months and had glycated hemoglobin (HbA1C) levels of 7.0% to 11.5%. After receiving stabilized insulin glargine doses during a 4-week lead in, the subjects were randomized to TI or IA. The primary end point was an HbA1C change from baseline, with the differences analyzed by equivalence analyses.ResultsIn the overall cohort (N = 309; males, 23.3%), mean (SD) age was 58.5 (8.4) years, body mass index was 30.8 (4.7) kg/m², weight was 82.2 (13.6) kg, and duration of diabetes was 12.2 (7.1) years. An intention-to-treat cohort had 150 subjects randomized to TI (mean [SD] HbA1C: 8.9% [1.1%]) and 154 randomized to IA (mean [SD] HbA1C: 9.0% [1.3%]). At 24 weeks, mean (SD) HbA1C value declined to 7.9% (1.3%) and 7.7% (1.1%) in the TI and IA cohorts, respectively. A treatment difference of 0.26% was not statistically significant, but the predefined equivalency margin was not met. Subjects receiving TI lost 0.78 kg compared to baseline; subjects receiving IA gained 0.23 kg (P =.0007). The incidence of mild/moderate hypoglycemia was lower for the TI cohort, though not statistically significant.ConclusionBoth TI and IA resulted in significant and clinically meaningful HbA1C reductions. TI also resulted in significant and clinically meaningful weight reductions. These data support the use of inhaled insulin as a treatment option for individuals with type 2 diabetes.     

Albuminuria,Disease Duration,and Glycated Hemoglobin Are Related With Bone Mineral Density in Type 1 Diabetes: A Cross-sectional Study

ObjectiveStudies have found a significant decrease in bone mineral density (BMD) in individuals with type 1 diabetes (T1D) compared to healthy controls. Factors associated with this phenomenon have yet to be defined; therefore, this study aimed to explore the association of glycated hemoglobin (HbA1c), disease duration, albuminuria, and glomerular filtration rate with BMD in adults with T1D.MethodsA cross-sectional study was carried out in tertiary care center. BMD analysis was performed by dual x-ray absorptiometry. Linear models were constructed considering variables associated with BMD. Approval from the ethics committees and informed consent were obtained.ResultsWe included 128 participants, of whom 59% were women, and 16% had menopause. The median age was 33 (26-42) years. The average age of diabetes diagnosis was 15.3 ± 6.3 years, and the median disease duration was 19.5 (12-27) years. In the adjusted analysis, higher albuminuria (P < .01) and disease duration (P < .05) were associated with a lower BMD in the femoral neck and total hip, independently of age, sex, and body mass index (BMI). Higher HbA1c (P < .01) was associated with a lower spine BMD after adjustment for age, sex, and BMI.ConclusionStudied factors specific to T1D, including albuminuria, disease duration, and HbA1c have an association with BMD regardless of BMI, age, and sex.     

Insulin Requirements in Patients With Type 2 Diabetes Undergoing Bariatric Surgery in the Inpatient Setting and Upon Discharge: A Single-Center Retrospective Analysis of Insulin Management Strategies

ObjectiveRapid improvement in blood glucose (BG) after weight-loss surgery (WLS) can make postoperative glucose management challenging in patients with type 2 diabetes mellitus (T2DM). Our study examined the safety and efficacy of insulin management strategies during hospitalization and after discharge following WLS.MethodsThis single-center retrospective cohort study included 160 adult patients with type 2 diabetes mellitus undergoing WLS. Patients with glycated hemoglobin A1C (HbA1C) level <7% (53 mmol/mol) and not on antihyperglycemic medications or metformin monotherapy were excluded. BG and insulin dosing during hospitalization and at 2-week follow-up, and impact of preoperative HbA1C level were analyzed.ResultsMean age was 46.3 years. Median preoperative HbA1C level was 8% (64 mmol/mol). Postoperatively, most patients received basal insulin plus sliding-scale insulin (SSI; 79/160, 49%) or SSI alone (77/160, 48%). The initial postoperative basal dose was 0.23 units/kg/day. The median basal insulin dose at discharge was 61% lower than preoperative dose. At 2-week follow-up, 34 of 44 patients (77%) had BG levels between 70-200 mg/dL and 1 of 44 (2.2%) had BG levels >200 mg/dL, with no hypoglycemia. Patients with HbA1C level >9% (75 mmol/mol) had higher BG on admission and during hospitalization, required higher insulin doses while hospitalized, and were more frequently discharged on insulin.ConclusionSSI is effective in managing BG in some patients immediately after WLS. However, about half of the patients may require basal insulin at doses similar to those required by other inpatients. Preoperative hyperglycemia may affect inpatient insulin needs and BG. Low-dose basal insulin appears safe and effective upon discharge for select patients.     

Screening for Gastric Sensory Motor Abnormalities in Pediatric Patients With Type 1 Diabetes

ObjectiveTo determine the frequency of gastric sensory motor symptoms in youth with type 1 diabetes.MethodsA prospective cross-sectional study was performed to evaluate symptoms of delayed gastric emptying in participants with type 1 diabetes, aged 12 to 25 years, using the Gastroparesis Cardinal Symptom Index (GCSI) questionnaire. In addition, a 5-year (January 2015 to December 2019), a retrospective study was completed on all gastric emptying scans performed in youth at our institution.ResultsA total of 359 participants (mean age, 17.7 ± 3.33 years) with type 1 diabetes completed the GCSI questionnaire. Compared with nonresponders, responders were more likely to be non-Hispanic White (90% vs 86%; P =.003) and female patients (58% vs 44%; P <.0001), with a lower HbA1c (8.1 ± 1.8 vs 9.0 ± 2.1; P <.0001). At least 1 gastrointestinal symptom was reported in 270 (75%) of responders, of which nausea was the most common (71%). A GCSI score of ≥1.9 suggestive of more severe gastrointestinal symptoms was reported in 17% of responders. Participants with scores ≥1.9 were older (19.1 ± 3.0 vs 17.8 ± 3.3 years; P =.01). In the retrospective study, 778 underwent gastric emptying scan, 29 participants had type 1 diabetes and 11 (38%) showed delayed gastric emptying.ConclusionGastrointestinal symptoms related to gastric sensory motor abnormalities are seen in youth and young adults with type 1 diabetes. In particular, for those with higher GCSI scores, earlier recognition and referral may be warranted.     

Feasibility,Acceptability, and Preliminary Efficacy of an Intensive Clinic-Based Intervention for Children With Poorly Controlled Type 1 Diabetes

ObjectiveTo evaluate the feasibility, acceptability, and preliminary efficacy of a team-based intervention for youth with type 1 diabetes (T1D) with suboptimal glycemia, as detected based on the measurement of hemoglobin A1C (HbA1C).MethodsForty participants with T1D for >1 year and an HbA1C level of ≥9.5% (80 mmol/mol) enrolled for a multidisciplinary intervention that included pediatric endocrinologists, pediatric psychologists, and a certified diabetes care and education specialist (CDCES). The CDCES-integrated medical management, while reinforcing physical, emotional, and behavioral health, connected with families to set and monitor goals and reviewed medication adjustments. The feasibility was assessed based on enrollment targets; acceptability based on retention rates; and preliminary efficacy based on changes in HbA1C levels, quality of life, diabetes-related strengths and resilience, hospital admissions, emergency room visits, and missed school days.ResultsOf 43 patients and families approached, 40 agreed to participate, 36 completed the 4-month intervention, and 31 completed full 8 months of follow-up data collection. The CDCES coach averaged 6.8 contacts per participant during the 8-month study period. The HbA1C level reduced significantly from baseline to 4 months (12.1% ± 1.6% to 11.0% ± 1.9%, P = .001) and was sustained at 8 months (10.7% ± 1.9%, P < .001). The participants reported significant increases in diabetes-specific quality of life (P < .05) and diabetes-related strength and resilience (P = .003). The missed school days reduced from 7.23 ± 7.5 days to 1.55 ± 1.9 days (P < .001), and the diabetes-related hospitalizations decreased from 0.4 ± 0.6 to 0.1 ± 0.3 (P = .009).ConclusionPreliminary data suggest that a multidisciplinary intervention leveraging a team-based approach with a physician, psychologist, and CDCES can support improvements in glycemic control and psychosocial outcomes among youth with T1D with an HbA1C level above the target.     

Frequent Monitoring of Blood Glucose Levels via a Remote Patient Monitoring System Helps Improve Glycemic Control

ObjectiveThis study aimed to evaluate the effectiveness of the Vivovitals diabetes platform in improving glycemic control and reducing hemoglobin A1c (HbA1c) levels in patients with uncontrolled type 2 diabetes mellitus by providing more accessible and direct patient care under the monitoring and oversight of their physician.MethodsThis 12-week, prospective, pragmatic, single-center, double-arm study assessed the impact of the Vivovitals diabetes platform on glycemic control in 78 adults aged ≥18 years with HbA1c levels of ≥7.5% (58 mmol/mol) at baseline. The participants were randomized into 2 groups. The control group received usual clinical care, whereas the intervention group was provided with a smartphone-linked telehealth application, a preconfigured glucometer, and access to a glycemic reading diary. The blood glucose levels of the intervention group were transmitted to the providers daily. Patients whose blood glucose level was <70 mg/dL or >180mg/dL were contacted, and modifications were made to their diet and medication. The 2 groups were compared at the baseline and at 12 weeks using nonparametric tests, with P <.05 considered statistically significant.ResultsOver 12 weeks, the average HbA1c level in the control group reduced by 0.474% (P = .533; 95% CI, −0.425 to −0.523), whereas the average HbA1c level in the intervention group reduced by 1.70% (P = .002; 95% CI, −1.02 to −2.39). The estimated treatment difference was expressed using Cohen d, which yielded 0.62. After 12 weeks, the HbA1c values between the control and intervention groups were statistically significant (P = .001).ConclusionThe use of the Vivovitals platform may help to improve glycemic control among individuals with type 2 diabetes mellitus.     

Patient Understanding of Discharge Instructions for Home Diabetes Self-Management and Risk for Hospital Readmission and Emergency Department Visits

ObjectiveThe primary objective of this study was to examine the patient comprehension of diabetes self-management instructions provided at hospital discharge as an associated risk of readmission.MethodsNoncritically ill patients with diabetes completed patient comprehension questionnaires (PCQ) within 48 hours of discharge. PCQ scores were compared among patients with and without readmission or emergency department (ED) visits at 30 and 90 days. Glycemic measures 48 hours preceding discharge were investigated. Diabetes Early Readmission Risk Indicators (DERRIs) were calculated for each patient.ResultsOf 128 patients who completed the PCQ, scores were similar among those with 30-day (n = 31) and 90-day (n = 54) readmission compared with no readmission (n = 72) (79.9 ± 14.4 vs 80.4 ± 15.6 vs 82.3 ± 16.4, respectively) or ED visits. Clarification of discharge information was provided for 47 patients. PCQ scores of 100% were achieved in 14% of those with and 86% without readmission at 30 days (P = .108). Of predischarge glycemic measures, glycemic variability was negatively associated with PCQ scores (P = .035). DERRIs were significantly higher among patients readmitted at 90 days but not 30 days.ConclusionThese results demonstrate similar PCQ scores between patients with and those without readmission or ED visits despite the need for corrective information in many patients. Measures of glycemic variability were associated with PCQ scores but not readmission risk. This study validates DERRI as a predictor for readmission at 90 days.     

Using a Diabetes Risk Score to Identify Patients Without Diabetes at Risk for New Hyperglycemia in the Hospital

ObjectiveTo assess the value of a validated diabetes risk test, the Cambridge Risk Score (CRS), to identify patients admitted to hospital without diabetes at risk for new hyperglycemia (NH).MethodsThis retrospective cross-sectional study included adults admitted to a hospital over a 4-year period. Patients with no diabetes diagnosis and not on antidiabetics were included. The CRS was calculated for each patient, and those with available glycated hemoglobin (HbA1C) results were investigated in a second analysis. Multivariate regression analyses were performed to assess the association among CRS, HbA1C, and the risk for NH.ResultsA total of 19,830 subjects comprised the sample, of which 38% were found to have developed NH, defined as a blood glucose level ≥140 mg/dL. After accounting for covariates, the CRS was significantly associated with NH (odds ratio [OR], 1.19 [1.16, 1.22]; P < .001). Only 17% of patients had their HbA1C values checked within 6 months of admission. Compared with patients without diabetes, patients with prediabetes based on their HbA1C level (OR, 1.59 [1.37, 1.86]; P < .001) and patients with undiagnosed diabetes (OR, 5.95 [3.50, 10.65]; P < .001) were also significantly more likely to have NH.ConclusionResults of this study show that the CRS and HbA1C levels were significantly associated with the risk of developing NH in inpatient adults without diabetes. Given that an HbA1C level was missing in most medical records of hospitalized patients without diabetes, the CRS could be a useful tool for early identification and management of NH, possibly leading to better outcomes.     

The Added and Interpretative Value of CGM-Derived Parameters in Type 1 Diabetes Depends on the Level of Glycemic Control

ObjectiveIn type 1 diabetes mellitus (T1DM) management, continuous glucose monitoring (CGM)-derived parameters can provide additional insights, with time in range (TIR) and other parameters reflecting glycemic control and variability being put forward. This study aimed to examine the added and interpretative value of the CGM-derived indices TIR and coefficient of variation (CV%) in T1DM patients stratified according to their level of glycemic control by means of HbA1C.MethodsT1DM patients with a minimum disease duration of 10 years and without known macrovascular disease were enrolled. Patients were equipped with a blinded CGM device for 7 days. TIR and time spent in hypoglycemia and hyperglycemia were determined, and CV% was used as a parameter for glycemic variability. Pearson (r) and Spearman correlations (r_s) and a regression analysis were used to examine associations.ResultsNinety-five patients (age: 45 ± 10 years; HbA1C level: 7.7% ± 0.8% [61 ± 7 mmol/mol]) were included (mean blood glucose [MBG]: 159 ± 31 mg/dL; TIR: 55.8% ± 14.9%; CV%: 43.5% ± 7.8%) and labeled as having good (HbA1C level ≤7% [≤53 mmol/mol]; n = 20), moderate (7%-8%; n = 44), or poor (>8% [>64 mmol/mol]; n = 31) glycemic control. HbA1C was significantly associated with MBG (r_s = 0.48, P < .001) and time spent in hyperglycemia (total: r_s = 0.52; level 2: r = 0.46; P < .001) but not with time spent in hypoglycemia and CV%, even after an analysis of the HbA1C subgroups. Similarly, TIR was negatively associated with HbA1C (r = −0.53; P < .001), MBG (r_s = −0.81; P < .001), and time spent in hyperglycemia (total: r_s = −0.90; level 2: r_s = −0.84; P < .001) but not with time in hypoglycemia. The subgroup analyses, however, showed that TIR was associated with shorter time spent in level-2 hypoglycemia in patients with good (r_s = −0.60; P = .007) and moderate (r_s = −0.25; P = .047) glycemic control. In contrast, CV% was strongly positively associated with time in hypoglycemia (total: r_s = 0.78; level 2: r_s = 0.76; P < .001) but not with TIR or time in hyperglycemia in the entire cohort, although the subgroup analyses showed that TIR was negatively associated with CV% in patients with good glycemic control (r = −0.81, P < .001) and positively associated in patients with poor glycemic control (r = +0.47; P < .01).ConclusionThe CGM-derived metrics TIR and CV% are related to clinically important situations, TIR being strongly dependent on hyperglycemia and CV% being reflective of hypoglycemic risk. However, the interpretation and applicability of TIR and CV% and their relationship depends on the level of glycemic control of the individual patient, with CV% generally adding less clinically relevant information in those with poor control. This illustrates the need for further research and evaluation of composite measures of glycemic control in T1DM.     

COVID-19 May Increase the Risk of Insulin Resistance in Adult Patients Without Diabetes: A 6-Month Prospective Study

ObjectiveDuring the coronavirus disease 2019 (COVID-19) pandemic, exploring insulin resistance and beta-cell activity is important for understanding COVID-19‒associated new-onset diabetes. We assessed insulin sensitivity and fasting insulin secretion in patients with COVID-19 without diabetes on admission and at 3 and 6 months after discharge.MethodsThis 6-month prospective study assessed data from the records of 64 patients without diabetes diagnosed with COVID-19 at Wenzhou Central Hospital, China. Each patient was followed up at 3 and 6 months after discharge. Repeated measures analysis of variance was used to investigate differences in multiple measurements of the same variable at different times. Linear regression analysis was performed to analyze the contributor for changes in the triglyceride-glucose (TyG) index.ResultsFasting C-peptide levels in patients at baseline were lower than the normal range. Compared with the baseline results, patients had significantly elevated fasting C-peptide levels (0.35 ± 0.24 vs 2.36 ± 0.98 vs 2.52 ± 1.11 μg/L; P < .001), homeostasis model assessment for beta-cell function (0.42, interquartile range [IQR] 0.36-0.62 vs 2.54, IQR 1.95-3.42 vs 2.90, IQR 2.02-4.23; P < .001), and TyG indices (8.57 ± 0.47 vs 8.73 ± 0.60 vs 8.82 ± 0.62; P = .006) and decreased fasting glucose levels (5.84 ± 1.21 vs 4.95 ± 0.76 vs 5.40 ± 0.68 mmol/L; P = .003) at the 3- and 6-month follow-up. Male gender, age, interferon-alfa treatment during hospitalization, and changes in total cholesterol and high-density lipoprotein levels were significantly associated with changes in the TyG index.ConclusionOur study provided the first evidence that COVID-19 may increase the risk of insulin resistance in patients without diabetes.     

Effectiveness of Wearable Activity Monitors on Metabolic Outcomes in Patients With Type 2 Diabetes: A Systematic Review and Meta-Analysis

ObjectiveWearable activity monitors are promising tools for improving metabolic outcomes in patients with type 2 diabetes mellitus (T2DM); however, no uniform conclusive evidence is available. This study aimed to evaluate the effects of the intervention using wearable activity monitors on blood glucose, blood pressure, blood lipid, weight, waist circumference, and body mass index (BMI) in individuals with T2DM.MethodsTwo independent reviewers searched 4 online databases (PubMed, Cochrane Library, Web of Science, and Embase) to identify relevant studies published from January 2000 to October 2022. The primary outcome indicator was hemoglobin A1c (HbA1c), and the secondary outcome indicators included physical activity (steps per day), fasting blood glucose, triglyceride, high-density lipoprotein cholesterol, low-density lipoprotein cholesterol, total cholesterol, systolic blood pressure, diastolic blood pressure, BMI, waist circumference, and weight.ResultsA total of 25 studies were included. The HbA1c level (standardized mean difference [SMD], −0.14; 95% confidence interval [CI], −0.27 to −0.02; P = .02; I² = 48%), BMI (SMD, −0.16; 95% CI, −0.26 to −0.05; P = .002; I² = 0), waist circumference (SMD, −0.21; 95% CI, −0.34 to −0.09; P < .001; I² = 0), and steps/day (SMD, 0.55; 95% CI, 0.36-0.94; P < .001; I² = 77%) significantly improved.ConclusionWearable activity monitor–based interventions could facilitate the improvement of the HbA1c level, BMI, and waist circumference and increase in physical activity in individuals with T2DM. Wearable technology appeared to be an effective tool for the self-management of T2DM; however, there is insufficient evidence about its long-term effect.