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.     

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.     

Pragmatic Clinic-Based Investigation of Glycemic Variability in Patients With Type 1 Diabetes in Routine Clinical Practice and Its Association With Cardiovascular Autonomic Neuropathy: A Pilot Study

ObjectiveTo evaluate the relationship between markers of glycemic variability (GV), assessed by blinded continuous glucose monitoring (CGM), and cardiovascular autonomic neuropathy (CAN) in patients with type 1 diabetes (T1D).MethodsGV indices, such as SD and coefficient of variation were obtained by blinded CGM through an electrode inserted into the subcutaneous tissue for at least 3 consecutive days. CAN was assessed by cardiovascular reflex tests and HRV.ResultsFifteen T1D patients were included: 7 (46.7%) women, aged 47.1 ± 11.6 years, with a diabetes duration of 26 years (20 to 29.5 years). Five patients (25%) were excluded from our study. The majority of our patients presented glycated hemoglobin (60%), SD (86.3%), and coefficient of variation (60%) above the established goals. Patients with defined CAN had a longer diabetes duration, higher glycated hemoglobin levels, lower glomerular filtration rate, lower prevalence of indices related to hypoglycemic stress, and short-term GV indices compared with patients without CAN.ConclusionOur study showed an inverse association between GV and CAN. The most important risk factors associated with CAN were age, diabetes duration, and markers of chronic hyperglycemia. Furthermore, the difficulty in the interpretation of data extracted from the blinded CGM system, which also requires a minimum of 3 capillary blood glucose measurements for calibration, should be carefully analyzed to ensure the accuracy and usefulness of the blinded CGM system as a tool for diabetes management in developing countries. Further studies are necessary to establish the role of GV in the development of CAN in patients with T1D.     

Assessment of the Effectiveness of a Protocol to Manage Dexamethasone-Induced Hyperglycemia Among Hospitalized Patients With COVID-19

ObjectiveWell-controlled glucose levels (ie, 70-180 mg/dL) have been associated with lower mortality from COVID-19. The addition of dexamethasone to COVID-19 treatment protocols has raised concerns about the potential negative consequences of dexamethasone-induced hyperglycemia.MethodsWe developed a protocol to guide the management of dexamethasone-induced hyperglycemia in hospitalized patients with COVID-19. Two of the 4 medical teams managing patients with COVID-19 at a tertiary center in Saudi Arabia used the protocol and the other 2 teams continued to manage hyperglycemia at the discretion of the treating physicians (protocol and control groups, respectively). The glycemic control and clinical outcomes in 163 patients hospitalized with COVID-19 and dexamethasone-induced hyperglycemia between July 5th and September 30th, 2020, were retrospectively compared between the 2 groups.ResultsCompared to the control group, the protocol group had higher proportions of patients with well-controlled glucose across all premeals and bedtime glucose readings throughout the hospital stay. The differences in glycemic control between the 2 groups were statistically significant for fasting glucose on days 4, 5, and the discharge day; prelunch glucose on the discharge day; predinner glucose on days 3, 5, and the discharge day; and bedtime glucose on day 1 (all P < .05). After adjusting for age, sex, nationality, body mass index, Charlson score, and diabetes status, patients in the protocol group were more likely to have well-controlled glucose levels compared with those in the control group. Moreover, the in-hospital mortality was significantly lower in the protocol group (12.93%) compared to the control group (29.93%) (P < .01).ConclusionThe implementation of a protocol to manage dexamethasone-induced hyperglycemia in hospitalized patients with COVID-19 resulted in more patients achieving well-controlled glucose levels and was associated with lower mortality from COVID-19.     

Continuous Glucose Monitoring for Patients with COVID-19 Pneumonia: Initial Experience at a Tertiary Care Center

ObjectivePatients hospitalized with COVID-19 and hyperglycemia require frequent glucose monitoring, usually performed with glucometers. Continuous glucose monitors (CGMs) are common in the outpatient setting but not yet approved for hospital use. We evaluated CGM accuracy, safety for insulin dosing, and CGM clinical reliability in 20 adult patients hospitalized with COVID-19 and hyperglycemia.MethodsStudy patients were fitted with a remotely monitored CGM. CGM values were evaluated against glucometer readings. The CGM sensor calibration was performed if necessary. CGM values were used to dose insulin, without glucometer confirmation.ResultsCGM accuracy against glucometer, expressed as mean absolute relative difference (MARD), was calculated using 812 paired glucometer-CGM values. The aggregate MARD was 10.4%. For time in range and grades 1 and 2 hyperglycemia, MARD was 11.4%, 9.4%, and 9.1%, respectively, with a small variation between medical floors and intensive care units. There was no MARD correlation with mean arterial blood pressure levels, oxygen saturation, daily hemoglobin levels, and glomerular filtration rates. CGM clinical reliability was high, with 99.7% of the CGM values falling within the “safe” zones of Clarke error grid. After CGM placement, the frequency of glucometer measurements decreased from 5 to 3 and then 2 per day, reducing nurse presence in patient rooms and limiting viral exposure.ConclusionWith twice daily, on-demand calibration, the inpatient CGM use was safe for insulin dosing, decreasing the frequency of glucometer fingersticks. For glucose levels >70 mg/dL, CGMs showed adequate accuracy, without interference from vital and laboratory values.     

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.     

Flash Glucose Monitoring in Israel: Understanding Real-World Associations between Self-Monitoring Frequency and Metrics of Glycemic Control

ObjectiveFlash glucose monitoring has been widely used in Israel for diabetes treatment and since 2018, the cost is reimbursed for all people with type 1 diabetes nationally. In the current study, we present the daily scanning behavior for FreeStyle Libre users in Israel and how this was associated with a range of metrics for glycemic assessment.MethodsDeidentified data from FreeStyle Libre readers were collected between September 2014 and October 2020. Scan-rate data from Israel was extracted and sorted into 10 equal-sized groups based on scan frequency. The glucose parameters derived for each group were: estimated HbA1c (eA1c), time in range (TIR) between 70 and 180 mg/dL, and time with glucose levels of <70 mg/dL, <54 mg/dL, and >180 mg/dL.ResultsThe data set for Israel included 12 370 readers, with data from 131 639 separate glucose sensors representing 152 million automatically recorded individual glucose readings. Users performed an average of 15 daily glucose scans, ranging from a mean of 4.1 scans per day (lowest, 10%), rising to a mean of 38.7 scans/day (highest, 10%) (median, 12; IQR, 8-18 for all readers). As the scan rates increased, the eA1c decreased from 7.6% to 6.7% (P < .001). Mean TIR increased from 56.9% to 70.0% with increasing scan rates (P < .001). Concordantly, time with glucose levels of >180 mg/dL and <54 mg/dL decreased from 37.2% to 23.6% (P < .001) and from 2.23% to 1.99%, respectively, as scan frequency increased.ConclusionIn Israel, people with diabetes under real-world conditions record higher rates of FreeStyle Libre scanning. These are associated with improvements in TIR, eA1c, and reduced time with glucose levels of >180 mg/dL or <54 mg/dL.     

Glycemic Outcomes of Hospitalized Patients on Ambulatory Humulin-R U-500 Insulin

ObjectiveManaging hospitalized patients on ambulatory U-500 insulin is challenging because of limited guidance on how to safely adjust insulin doses during admission. We sought to evaluate glycemic outcomes in relation to inpatient insulin doses in patients receiving U-500 prior to hospitalization.MethodsRetrospective study of hospitalized patients on ambulatory U-500 seen consecutively from January 2015 to December 2019. Primary outcomes were inpatient hypoglycemia, hyperglycemia, and normoglycemia at different insulin dosages expressed as weight-based (unit/kg/d) inpatient total daily dose (TDD) and ratio of inpatient to outpatient TDD.ResultsWe identified 66 admissions of 46 unique patients. The median (interquartile range) body mass index was 41.0 kg/m² (35.1, 46.8), home TDD 212 units (120, 300), and home insulin dose 1.6 units/kg/d (1.1, 2.2). The median (interquartile range) inpatient insulin dose was 0.7 unit/kg/d (0.3, 1.0) and the ratio of inpatient to outpatient TDD was 0.4 (0.2, 0.8). Hyperglycemia persisted throughout the hospitalization. For the outcomes of hyperglycemia and normoglycemia, we found no association between increased levels of insulin dosages. For the outcome of hypoglycemia, significantly higher odds were observed when non-fasting patients received an inpatient TDD that was either > 40% of their home TDD or > 0.6 unit/kg/d of insulin.ConclusionPatients on ambulatory U-500 have significant hyperglycemia during admission. Inpatient insulin doses of 40% of home TDD or ≤ 0.6 unit/kg were not associated with increased hypoglycemia risk. Further prospective studies are needed to determine effective doses in these high-risk patients.     

Weight-Based Insulin During and After Intravenous Insulin Infusion Reduces Rates of Rebound Hyperglycemia When Transitioning to Subcutaneous Insulin in the Medical Intensive Care Unit

ObjectiveHyperglycemia often occurs after the transition from intravenous insulin infusion (IVII) to subcutaneous insulin. Weight-based basal insulin initiated earlier in the course of IVII in the medical intensive care unit (MICU), and a weight-based basal-bolus regimen after IVII, can potentially improve post-IVII glycemic control by 48 hours.MethodsThis prospective study included 69 patients in MICU who were on IVII for ≥24 hours. Exclusions were end-stage renal disease, type 1 diabetes mellitus, and the active use of vasopressors. The intervention group received weight-based basal insulin (0.2-0.25 units/kg) with IVII and weight-based bolus insulin after IVII. The control group received current care. The primary end points were glucose levels at specific time intervals up to 48 hours after IVII.ResultsThere were 25 patients in the intervention group and 44 in the control group. The mean age of the patients was 59 ± 15 years, 32 (47%) were men, and 52 (78%) had prior diabetes mellitus. The 2 groups were not different (acute kidney injury/chronic kidney disease, pre-existing diabetes mellitus, illness severity, or nothing by mouth status after IVII), except for the steroid use, which was higher in the control group than in the intervention group (34% vs 12%, respectively). Glucose levels were not lower until 36 to 48 hours after IVII (166.8 ± 39.1 mg/dL vs 220.0 ± 82.9 mg/dL, P < .001). When controlling for body mass index, nutritional status, hemoglobin A1C, and steroid use, glucose level was lower starting at 12 to 24 hours out (166.87 mg/dL vs 207.50 mg/dL, P = .015). The frequency of hypoglycemia was similar between the 2 groups (5.0% vs 7.1%). The study did not reach target enrollment.ConclusionThe addition of weight-based basal insulin during, and basal-bolus insulin immediately after, IVII in MICU results in better glycemic control at 24 hours after IVII with no increased hypoglycemia.     

Hyperglycemia is Associated With Increased Mortality in Critically Ill Patients With COVID-19

ObjectiveTo explore the relationship between hyperglycemia in the presence and absence of diabetes mellitus (DM) and adverse outcomes in critically ill patients with coronavirus disease 2019 (COVID-19).MethodsThe study included 133 patients with COVID-19 admitted to an intensive care unit (ICU) at an urban academic quaternary-care center between March 10 and April 8, 2020. Patients were categorized based on the presence or absence of DM and early-onset hyperglycemia (EHG), defined as a blood glucose >180 mg/dL during the first 2 days after ICU admission. The primary outcome was 14-day all-cause in-hospital mortality; also examined were 60-day all-cause in-hospital mortality and the levels of C-reactive protein, interleukin 6, procalcitonin, and lactate.ResultsCompared to non-DM patients without EHG, non-DM patients with EHG exhibited higher adjusted hazard ratios (HRs) for mortality at 14 days (HR 7.51, CI 1.70-33.24) and 60 days (HR 6.97, CI 1.86-26.13). Non-DM patients with EHG also featured higher levels of median C-reactive protein (306.3 mg/L, P = .036), procalcitonin (1.26 ng/mL, P = .028), and lactate (2.2 mmol/L, P = .023).ConclusionAmong critically ill COVID-19 patients, those without DM with EHG were at greatest risk of 14-day and 60-day in-hospital mortality. Our study was limited by its retrospective design and relatively small cohort. However, our results suggest the combination of elevated glucose and lactate may identify a specific cohort of individuals at high risk for mortality from COVID-19. Glucose testing and control are important in individuals with COVID-19, even those without preexisting diabetes.     

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.     

Automated Insulin Delivery Systems as a Treatment for Type 2 Diabetes Mellitus: A Review

ObjectiveApproximately 6.3% of the worldwide population has type 2 diabetes mellitus (T2DM), and the number of people requiring insulin is increasing. Automated insulin delivery (AID) systems integrate continuous subcutaneous insulin infusion and continuous glucose monitoring with a predictive control algorithm to provide more physiologic glycemic control. Personalized glycemic targets are recommended in T2DM owing to the heterogeneity of the disease. Based on the success of hybrid closed-loop systems in improving glycemic control and safety in type 1 diabetes mellitus, there has been further interest in the use of these systems in people with T2DM.MethodsWe performed a review of AID systems with a focus on the T2DM population.ResultsIn 5 randomized controlled trials, AID systems improve time in range and reduce glycemic variability, without increasing insulin requirements or the risk of hypoglycemia.ConclusionAID systems in T2DM are safe and effective in hospitalized and closely monitored settings. Home studies of longer duration are required to assess for long-term benefit and identify target populations of benefit.     

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.     

Nordic Walking Improves Cardiometabolic Parameters,Fitness Performance,and Quality of Life in Older Adults With Type 2 Diabetes

ObjectiveTo assess the effect of Nordic walking (NW) on cardiometabolic health, physical performance, and well-being in sedentary older adults with type 2 diabetes (T2D).MethodsFifteen subjects with T2D (female, 5; male, 10; age, 65 ± 6.2 years [mean ± standard deviation]; body mass index, 27.3 ± 4.9 kg/m² [mean ± standard deviation]) were enrolled in a 6-month NW training program. The fasting glucose and glycosylated hemoglobin levels, lipid profile (total cholesterol, low-density lipoprotein cholesterol, high-density lipoprotein cholesterol, and triglycerides), systolic blood pressure (SBP), and diastolic blood pressures were measured before and after the intervention. Participants’ quality of life (Short-Form Health Survey) and physical fitness (6-minute walking test) were also evaluated.ResultsCompared with baseline, NW significantly improved the fasting glucose level (103.5 ± 18.5 vs 168.7 ± 37.7 mg/dL, P = .01), SBP (121.8 ± 12.2 vs 133 ± 14.4 mm Hg, P = .02), physical fitness (759.88 ± 69 vs 615.5 ± 62.6 m, P < .001), and both mental health (54.5 ± 4.4 vs 45.7 ± 5.6, P < .01) and physical health (49.8 ± 4.7 vs 40.3 ± 5.9, P < .01). The levels of glycosylated hemoglobin (6.15% ± 0.8% vs 6.4% ± 1%, P = .46), total cholesterol (162.2 ± 31.2 vs 175.5 ± 28.8 mg/dL, P = .13), low-density lipoprotein cholesterol (95.2 ± 24.2 vs 106.3 ± 32.3 mg/dL, P = .43), and triglycerides (135.5 ± 60.8 vs 127.6 ± 57.4 mg/dL, P = 0.26) improved without reaching significance.ConclusionNW training improved the glycemic levels, SBP, physical fitness, and perception of quality of life in older adults with T2D. NW represents a suitable complementary strategy to improve the global health status in this population.     

Comparison of Profile of Primary Hyperparathyroidism With and Without Type 2 Diabetes Mellitus: Retrospective Analysis From the Indian Primary Hyperparathyroidism Registry

ObjectiveTo describe the prevalence and compare the clinicobiochemical profile of patients with primary hyperparathyroidism (PHPT) with and without type 2 diabetes mellitus (T2DM).MethodsWe conducted a retrospective observational study wherein the details of patients with PHPT with T2DM (PHPT-T2DM) and without T2DM were retrieved from the Indian PHPT Registry (www.indianphptregistry.com) between 2005 and 2019. We compared the clinical, biochemical, and postoperative findings of patients with PHPT-T2DM with age-, sex-, and body mass index–matched patients with PHPT without T2DM (in 1:2 ratio).ResultsOf the 464 patients with PHPT, 54 (11.6%) had T2DM. We observed an increase in the prevalence of PHPT-T2DM cases over time; only 7 (7.1%) of the total patients with PHPT had T2DM between 2005 and 2009 that increased to 31 (12.8%) in the last half decade (2015-2019). Patients with PHPT-T2DM had a significantly lower prevalence of nephrolithiasis (18.5% vs 36.1%, respectively; P = .03) and a higher prevalence of pancreatitis (22.2% vs 5.6%, respectively; P = .007) than those without T2DM. Furthermore, intact parathyroid hormone (203 pg/mL [139.8-437.3 pg/mL] vs 285 pg/mL [166-692 pg/mL], respectively; P = .04) and serum creatinine (0.90 mg/dL [0.67-1.25 mg/dL] vs 1.10 mg/dL [0.73-1.68 mg/dL], respectively; P = .03) levels were significantly lower in patients with PHPT-T2DM than those without T2DM. Also, tumor weight tended to be lower in patients with PHPT-T2DM than in the non-T2DM counterparts (1.05 g [0.5-2.93 g] vs 2.16 g [0.81-7.0 g], respectively; P = .06).ConclusionThe prevalence of T2DM in Asian Indians with PHPT is 11.6%. Patients with PHPT-T2DM are characterized by a higher prevalence of pancreatitis, a lower prevalence of nephrolithiasis, and lower levels of intact parathyroid hormone/creatinine. Part of the clinical picture can possibly be explained by early detection of PHPT in patients with T2DM consequent to more frequent screening.     

Basal Insulin Degludec and Glycemic Control Compared to Aspart Via Insulin Pump in Type 1 Diabetes (BIGLEAP): A Single-Center,Open-Label,Randomized, Crossover Trial

ObjectiveWe compared the efficacy of the second-generation basal insulin degludec (IDeg) to that of insulin aspart via pump using continuous glucose monitoring in patients with well-controlled type 1 diabetes.MethodsIn this 40-week, single-center, randomized, crossover-controlled trial, adults with well-controlled type 1 diabetes (hemoglobin A1C of <7.5% [<58 mmol/mol]) (N = 52) who were using an insulin pump and continuous glucose monitoring were randomized to 1 of 2 treatments for a 20-week period: a single daily injection of IDeg with bolus aspart via pump or a continuous subcutaneous insulin infusion (CSII) with aspart, followed by crossover to the other treatment. The primary endpoint was time in range (70-180 mg/dL) during the final 2 weeks of each treatment period.ResultsFifty-two patients were randomized and completed both treatment periods. The time in range for IDeg and CSII was 71.5% and 70.9%, respectively (P = .553). The time in level 1 hypoglycemia for the 24-hour period with IDeg and CSII was 2.19% and 1.75%, respectively (P = .065). The time in level 2 hypoglycemia for the 24-hour period with IDeg and CSII was 0.355% and 0.271%, respectively (P = .212), and the nocturnal period was 0.330% and 0.381%, respectively (P = .639). The mean standard deviation of blood glucose levels for the 24-hour period for IDeg and CSII was 52.4 mg/dL and 51.0 mg/dL, respectively (P = .294). The final hemoglobin A1C level for each treatment was 7.04% (53 mmol/mol) with IDeg, and 6.95% (52 mmol/mol) with CSII (P = .288). Adverse events were similar between treatments.ConclusionWe observed similar glycemic control between IDeg and insulin aspart via CSII for basal insulin coverage in patients with well-controlled 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.     

Impact of the Time-Weighted Average Glucose Concentration and Diabetes on In-Hospital Mortality in Critically Ill Patients Older Than 75 Years: A Retrospective Cohort Study

ObjectiveTo evaluate the effects of diabetes and hyperglycemia on in-hospital mortality in critically ill patients older than 75 years.MethodsThis was a single-center retrospective cohort study of patients older than 75 years in the first intensive care unit stay. The patients were divided into the following 4 groups: time-weighted average glucose (TWAG) <140 mg/dL without diabetes (group 1), TWAG ≥140 mg/dL without diabetes (group 2), TWAG <180 mg/dL with diabetes (group 3), and TWAG ≥180 mg/dL with diabetes (group 4). Clinical and laboratory data were analyzed.ResultsA total of 6760 patients over 75 years of age were included, including 2089 patients previously diagnosed with diabetes. The patients in group 2 had the highest in-hospital mortality (27.4%). In the fully adjusted regression model, the risk of in-hospital mortality increased by 76% (odds ratio = 1.76, 95% CI: 1.49-2.08) in group 2 as compared with group 1. Those from groups 3 and 4 exhibited risks equivalent to the risks of those in group 1; similar results were observed in the subgroup analysis. A J-shaped curve relationship and threshold effect were observed in patients without diabetes. For those with diabetes, a flatter curve pattern with a small slope was observed.ConclusionStress hyperglycemia was more detrimental to short-term prognosis than diabetes status in these patients. Looser glucose control may be suitable for patients older than 75 years with diabetes but unnecessary for those without diabetes. Patients with diabetes may be more resistant to the detrimental effects of glucose variations.     

Anemia in Patients With Diabetes and Prediabetes With Normal Kidney Function: Prevalence and Clinical Outcomes

ObjectiveAnemia is a known complication of diabetes mellitus (DM); however, its prevalence and prognostic relevance in patients with DM and pre-DM with normal kidney function have not been well defined. This study assessed the prevalence of anemia in patients with DM and pre-DM and evaluated its association with clinical outcomes during a 4-year follow-up period.MethodsThis retrospective analysis included patients with DM and pre-DM referred to the Meir Medical Center Endocrine Institute in 2015. Patients with an estimated glomerular filtration rate (eGFR) of <60 mL/min or any other recognized cause of anemia were excluded. The risk of developing microvascular or macrovascular complications or of death during the 4-year follow-up period was determined.ResultsA total of 622 patients (408 with DM and 214 with pre-DM) were included. The mean age of the patients was 64 ± 10.6 years, and 70% were women. The baseline hemoglobin A1C level was 7.1% ± 1.7% (54 mmol/mol), and the eGFR was 86.1 ± 15.3 mL/min. At the time of inclusion, 77 patients (19%) with DM and 23 (11%) with pre-DM had anemia (hemoglobin level 11.9 ± 0.8 and 11.8 ± 0.8 g/dL, respectively), compared with normal hemoglobin levels of 13.8 ± 0.9 and 13.7± 0.9 g/dL, respectively, in the others. A multivariable analysis demonstrated an inverse correlation between baseline hemoglobin (as a continuous variable) and mortality (P = .035), microvascular complications (P = .003), and eGFR decline (P < .001) but not between baseline hemoglobin and macrovascular complications (P = .567).ConclusionThis study found a significant prevalence of anemia unrelated to renal failure, both in patients with DM and pre-DM. Anemia in these patients is associated with the development of microvascular complications, eGFR decline, and mortality. These results underscore the need for intensive lifestyle and pharmacologic interventions in these patients.     

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.