How well do Self-Monitored Capillary Glucose Measurements Predict the Mean Blood Glucose from 24-hour Continuous Monitoring in Endocrine Practice?

ObjectiveThe mean blood glucose (MBG) level obtained from self-monitored capillary glucose (SMCG) data is a readily available metric of glycemic control for patients and their physicians. However, whether there is agreement between SMCG MBG levels and MBG levels obtained from 24-hour intensive glucose sampling is unclear. Therefore, we analyzed the relationship between MBG levels derived from SMCG data and glucose data derived from continuous glucose monitoring (CGM).MethodsSMCG and CGM were concurrently performed in 104 patients with diabetes and prediabetes over 3 to 6 days. MBG data obtained from SMCG and CGM were compared by standard correlation and Bland-Altman analyses.ResultsSMCG and CGM MBG data from the longest duration of sampling were highly correlated (r = 0.965; P < .001). Single-day MBG estimates from both sources were also highly correlated, with r values ranging from 0.833 to 0.927. A SMCG MBG level of 166.1 ± 55 mg/dL (derived from 14.1 ± 4.6 samples) tended to slightly underestimate the concurrent CGM MBG level of 171.1 ± 56.4 mg/dL (derived from 1,063 ± 283 samples). The SMCG MBG was within 30 mg/dL of the CGM MBG in 94.6% of patients and within 15 mg/dL in 67% of patients. The difference between the estimates tended to increase with increasing SD of the MBG obtained from CGM (r = 0.38; P < .0001).ConclusionMBG estimated from SMCG is a reasonable estimate of a patient’s CGM MBG over the same period of time and with caveats could be used as a practical guide for long-term glycemic control that can be considered in tandem with the patient’s hemoglobin A_1c in endocrine practice. (Endocr Pract. 2014;20:650-656)     

Glycated Albumin at 4 Weeks Correlates with A1C Levels at 12 Weeks and Reflects Short-Term Glucose Fluctuations

Objective: Evaluate the performance of glycated albumin (GA) monitoring by comparing it to other measures of glycemic control during intensification of antidiabetic therapy.Methods: This 12-week, prospective, multicenter study compared the diagnostic clinical performance of GA to glycated hemoglobin A1C (A1C), fructosamine corrected for albumin (FRA), fasting plasma glucose (FPG), and mean blood glucose (MBG) estimated from self-monitoring of blood glucose (SMBG) and continuous glucose monitoring (CGM) in 30 patients with suboptimally controlled type 1 or 2 diabetes.Results: Mean A1C decreased from 9.5% to 8.1%. Mean SMBG correlated closely with CGM (Pearson r = 0.783 for daily estimates and r = 0.746 for weekly estimates, P<.0001). Both GA and FRA levels significantly correlated with changes from baseline in A1C and mean weekly SMBG (P<.001). The lowest observed median GA occurred at 4 weeks, followed by a small increase and then a slight reduction, mirroring changes in overall mean SMBG values. The median A1C fell throughout the treatment period, failing to reflect short-term changes in SMBG. A ≥1% reduction in GA at 4 weeks was significantly associated with a ≥0.5% change in A1C at 12 weeks (odds ratio &lsqb;OR] = 19.0, 95% confidence interval &lsqb;CI]: 1.4, 944, P = .018).Conclusion: In patients receiving glucose-lowering therapy, changes in GA at 4 weeks were concordant with changes in A1C at 12 weeks, and both GA and FRA more accurately reflected short-term blood glucose fluctuations than A1C.Abbreviations: A1C = glycated hemoglobin A1C ARIC = Atherosclerosis Risk in Communities CGM = continuous glucose monitoring FPG = fasting plasma glucose FRA = fructosamine corrected for albumin GA = glycated albumin MBG = mean blood glucose OR = odds ratio SMBG = self-monitoring of blood glucose     

Short-Term Sitagliptin-Metformin Therapy Is More Effective Than Metformin Or Placebo In Prior Gestational Diabetic Women With Impaired Glucose Regulation

Objective: Our pilot study examined the effectiveness of sitagliptin-metformin (SITA-MET), metformin (MET), and placebo (P) therapy on fasting and post–glucose challenge glucose levels in postpartum women with prior gestational diabetes mellitus (GDM) and impaired glucose regulation.Methods: Prediabetic women (N = 36, age 18 to 42 years) with recent GDM were randomized to P (one pill twice a day), MET (1,000 mg twice a day), or SITA-MET (50 mg SITA, 1,000 mg MET twice a day) for 16 weeks in a single-blind fashion. An individualized diet and exercise plan were provided to all participants. At baseline and 16 weeks, oral glucose tolerance tests were performed to assess glycemia, mean blood glucose (MBG), and calculate insulin sensitivity (IS) and secretion (SI) indexes. Lipid profile, thyroid-stimulating hormone level, and pregnancy test were performed in the baseline sample.Results: Thirty-three (92%) participants completed the study. At study end, 15 participants had normal glycemia (SITA-MET vs. MET, P; P = .035). MBG, IS, IS-SI index, and waist to height ratio were significantly improved with SITA-MET compared with MET and P treatment. SITAMET therapy was more effective in lowering body mass index and waist circumference compared to P treatment.Conclusion: Our pilot study is the first to evaluate the use of a dipeptidyl peptidase 4 inhibitor combined with MET in glucose-impaired women with a history of GDM. In this investigation, combination SITA-MET was found to be superior to MET and P in improving glycemia and metabolic measures in this prediabetic population.Abbreviations: BID = twice a day; BMI = body mass index; BP = blood pressure; BW = body weight; CHOL = cholesterol; DI = disposition index; DM = diabetes mellitus; DPP-4i = dipeptidyl peptidase 4 inhibitor; FBG = fasting blood glucose; GDM = gestational diabetes mellitus; GLP-1 = glucagon-like peptide 1; HDL-C = high-density-lipoprotein cholesterol; HOMA-IR = homeostasis model assessment of insulin resistance; IGI = insulinogenic index; IGR = impaired glucose regulation; IGT = impaired glucose tolerance; IR = insulin resistance; IS = insulin sensitivity; LDL-C = low-density-lipoprotein cholesterol; MBG = mean blood glucose; MET = metformin; OGTT = oral glucose tolerance test; P = placebo; SI = insulin secretion; SI_OGTT = Matsuda's insulin sensitivity index; TRG = triglycerides; WC = waist circumference; WHR = waist to hip ratio; WHtR = waist to height ratio     

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.     

Use of Serum and Plasma Glucose Measurements as a Benchmark for Improved Hospital-Wide Glycemic Control

ObjectiveTo demonstrate the benefit of an institutionally implemented glucose control intervention based on serum and plasma glucose values in the acute inpatient setting.MethodsIn a retrospective analysis, all serum and plasma glucose values from the laboratory information system database from 1999 through 2005 were used to assess implementation of 2 new hospital-wide intravenous and subcutaneous protocols aimed at lowering blood glucose values without increasing the number of hypoglycemic events. In our analysis, we used both a per-patient hyperglycemic index (HGI), an area-under- the-curve analysis, and hospital-wide geometric mean blood glucose to assess glucose control. Bedside capillary blood glucose measurements were not included.ResultsMore than 630,000 serum and plasma glucose results were available for analysis. The percentage of results above the protocol target of 180 mg/dL decreased from 16.4% before the intervention to 10.0% after the intervention (P < .00001), and we found no change in the proportion of “critical" hypoglycemic results (< 50 mg/dL). The hospital-wide geometric mean decreased significantly and coincided with a significant decrease in the fraction of patients with poor glucose control (based on the HGI) from 27.6% to 18.7% (P < .00001). The geometric mean blood glucose was found to be an excellent marker for the HGI (r² = 0.99).ConclusionWe are the first to report improvements in glucose control over an extended period with use of both hospital-wide intravenous and subcutaneous insulin protocols in an academic hospital setting. Furthermore, hospital-wide mean blood glucose levels are excellent surrogates for the more comprehensive calculation of per-patient HGI. (Endocr Pract. 2008;14:556-563)     

A Cross-Sectional Study of the Association between the 1-Hour Oral Glucose Tolerance Test and the Metabolic Syndrome in a High-Risk Sample with Impaired Fasting Glucose

Objective: The aim of this study was to evaluate the association between the 1-hour oral glucose tolerance test (OGTT) (≥155 mg/dL) and metabolic syndrome (MS) in a sample with previous impaired fasting glucose (IFG).Methods: Three hundred and twenty four Peruvian subjects with a history of IFG ≥100 mg/dL were selected for a cross-sectional study. They underwent a 75 g OGTT and were assigned to different groups according to the result. We evaluated the association between 1-hour OGTT and MS.Results: The mean age was 56.5 ± 12.6 years and 191 (61.5%) were female. During the OGTT, we found 28 (8.6%) subjects with diabetes, 74 (22.8%) with IGT, and 222 (68.5%) with a normal glucose tolerance test with a 2-hour glucose <140 mg/dL (NGT). In the NGT group, 124 (38.3%) had 1-hour glucose levels <155 mg/dL, while 98 (30.2%) had 1-hour glucose levels ≥155 mg/dL. Evaluating the association between the 1-hour value in the OGTT and MS, we found that subjects with a 1-hour glucose ≥155 mg/dL were more than twice as likely to have MS as those with a 1-hour glucose <155 mg/dL (odds ratio = 2.64, 95% confidence interval: 1.52 to 4.57). In addition, body mass index, fasting glycemia, triglycerides, and waist circumferences were significantly higher in subjects with 1-hour glucose levels ≥155 mg/dL compared to those with 1-hour glucose levels <155 mg/dL (P<.05).Conclusion: Among subjects with IFG, performing an OGTT was helpful to identify subjects with 1-hour glucose levels ≥155 mg/dL and NGT who were significantly more likely to have MS and a worse cardiometabolic risk profile.Abbreviations: AST = aspartate aminotransferase; BMI = body mass index; CI = confidence interval; IFG = impaired fasting glucose; IGT = impaired glucose tolerance; LDL = low-density lipoprotein; MS = metabolic syndrome; NGT = normal glucose tolerance; OGTT = oral glucose tolerance test; OR = odds ratio; T2DM = type 2 diabetes; TG = triglycerides     

Association Between Blood Glucose Levels and Development of Candidemia in Hospitalized Patients

ObjectiveTo examine the relationship between blood glucose levels in hospitalized patients and the risk of occurrence of candidemia.MethodsWe undertook a retrospective review of medical records and hospital computerized database information to compare blood glucose levels in 48 patients with nosocomial candidemia and 144 contemporaneous matched control subjects without candidemia at a tertiary teaching hospital.ResultsThe proportions of days (for patients with candidemia versus control subjects without candidemia) with blood glucose levels ≥ 100 mg/dL (293 of 325 [90%] versus 849 of 1,007 [84%]; P = .009), ≥ 140 mg/dL (184 of 325 [57%] versus 507 of 1,007 [50%]; P = .049), and ≥ 200 mg/dL (80 of 325 [25%] versus 163 of 1,007 [16%]; P = .001) were significantly higher during the 7 days preceding the diagnosis of candidemia than during a 7-day period of hospitalization of control subjects. Blood glucose levels exceeding 200 mg/dL for 4 or more days of the week preceding the diagnosis of candidemia were significantly associated with its development (P = .04; odds ratio, 2.44; and 95% confidence interval, 1.01 to 5.94).ConclusionInpatient hyperglycemia is an important—and potentially modifiable—risk factor for development of nosocomial candidemia. These findings have implications for innovative infection control strategies that focus on glycemic control. (Endocr Pract. 2009;15:111- 115)     

Apple polyphenol-rich drinks dose-dependently decrease early-phase postprandial glucose concentrations following a high-carbohydrate meal: a randomized controlled trial in healthy adults and in vitro studies

BackgroundPrevious research demonstrated that a high dose of phlorizin-rich apple extract (AE) can markedly inhibit early-phase postprandial glycemia, but efficacy of lower doses of the AE is unclear.ObjectiveTo determine whether lower AE doses reduce early-phase postprandial glycemia in healthy adults and investigate mechanisms.DesignIn a randomized, controlled, double-blinded, cross-over acute trial, drinks containing 1.8 g (HIGH), 1.35 g (MED), 0.9 g (LOW), or 0 g (CON) of a phlorizin-rich AE were consumed before 75 g starch/sucrose meal. Postprandial blood glucose, insulin, C-peptide, glucose-dependent insulinotropic polypeptide (GIP) and polyphenol metabolites concentrations were measured 0–240 min, acetaminophen concentrations to assess gastric emptying rate, and 24 h urinary glucose excretion. Effects of AE on intestinal glucose transport were investigated in Caco-2/TC7 cells.ResultsAE significantly reduced plasma glucose iAUC 0–30 min at all doses: mean differences (95% CI) relative to CON were −15.6 (−23.3, −7.9), −11.3 (−19.6, −3.0) and −8.99 (−17.3, −0.7) mmol/L per minute for HIGH, MEDIUM and LOW respectively, delayed T_max (HIGH, MEDIUM and LOW 45 min vs. CON 30 min), but did not lower C_max. Similar dose-dependent treatment effects were observed for insulin, C-peptide, and GIP. Gastric emptying rates and urinary glucose excretion did not differ. Serum phloretin, quercetin and epicatechin metabolites were detected postprandially. A HIGH physiological AE dose equivalent decreased total glucose uptake by 48% in Caco-2/TC7 cells.ConclusionsPhlorizin-rich AE, even at a low dose, can slightly delay early-phase glycemia without affecting peak and total glycemic response.     

Distribution of Capillary Glycated Hemoglobin Among Adolescents of High School Age

ObjectiveTo report the distribution of glycated hemoglobin (hemoglobin A1c or A1C) in whole blood collected from a cohort of high school students with use of a capillary method.MethodsStudents were recruited from the Diabetes Risk Factor Screening Study conducted in Santa Barbara, California, high schools. Height and weight were measured on portable equipment. Blood was collected by finger stick and analyzed immediately for A1C on the DCA 2000 + analyzer. Students also completed a brief survey that included specification of race or ethnicity and family history of diabetes.ResultsBetween the years 2001 and 2005, A1C was measured in 2,640 14-to 18-year-old high school students. The mean A1C was 4.91%, SE was 0.01%, and range was from 3.5% to 8.5%, including 2 outliers. Both of these students were found to have previously unrecognized type 2 diabetes mellitus. Male subjects had an A1C that was slightly but significantly higher than that in female subjects (difference = 0.05%; P < .001), subjects with a family history of diabetes in a first-degree relative had higher A1C values than those without such a family history (difference = 0.10%; P = .001), and subjects with a body mass index ≥ 95% had higher A1C values than did those with a lower body mass index (difference = 0.011%; P < .001). Non-Hispanic white students had A1C concentrations that were significantly lower than those of African American or Latino students. Age had little effect on the A1C.ConclusionThe A1C distribution in the total study population in this survey was identical to the distribution reported previously with use of the high-performance liquid chromatographic method. This survey establishes standards for capillary A1C in high school students from several racial or ethnic groups. (Endocr Pract. 2008;14:529-534)     

Glycemic Effects Of Sglt-2 Inhibitor Canagliflozin In Type 1 Diabetes Patients Using The Dexcom G4 Platinum Cgm

Objective: Limited information is available on chronic use of sodium glucose cotransporter 2 inhibitors in type 1 diabetes (T1D). We conducted a retrospective review of T1D patients on Dexcom G4Platinum continuous glucose monitors (DCGMs) >1 year (mean, 4.6 years) who were prescribed canagliflozin (CANA) 100 mg daily and had a baseline DCGM 30-day download prior to and a second download after at least 1 month (mean, 3.7 months) taking CANA 100 mg daily. The glycemic, weight, and systolic blood pressure (SBP) effects are reported.Methods: We identified 27 patients meeting the selection criteria: 14 men; 25 white; 22 on pump; average T1D duration, 34 years (range, 12 to 48 years); average hemoglobin A1C (A1C), 7.6% (range, 6.1 to 9.8%); 22 with baseline A1C 7.0% or higher. All patients had an estimated glomerular filtration rate (eGFR) at baseline of 60 mL/min/1.73 m² or higher and were normotensive or on stable therapy. On average, 29 days of CGM data was reviewed. Total daily insulin dose (TDD) was available in 21 patients. We identified 27 patients who were judged to be candidates for CANA but did not have any change in glycemic therapy other than insulin adjustment as controls.Results: CANA resulted in significant reductions in mean blood glucose, CGM standard deviation, time in hyperglycemia, A1C, weight, SBP, and TDD, with increased time in target, with minimal increase in hypoglycemia and no significant change in eGFR. Three females developed genital mycotic infections but continued therapy, 2 developed ketoacidosis from insulin interruption.Conclusion: CANA offers promise as adjunct therapy in T1D, though caution is advised.Abbreviations:A1C = hemoglobin A1CCANA = canagliflozinCGM = continuous glucose monitorCSII = continuous subcutaneous insulin infusionDCGM = Dexcom G4Platinum CGMDKA = diabetic ketoacidosisGMI = genital mycotic infectionMG = mean glucosePCGM = personal continuous glucose monitoringSBP = systolic blood pressureSGLT-2i = sodium-glucose cotransporter 2 inhibitorSH = severe hypoglycemiaT2D = type 2 diabetesT1D = type 1 diabetes     

Effect of Hospital Admission on Glycemic Control 1 Year After Discharge

ObjectiveTo assess the effect of hospital admission on glycemic control in patients with diabetes up to 1 year after discharge.MethodsWe retrospectively studied 826 adults with diabetes admitted to a tertiary care medical center and with available hemoglobin A_1c (A1C) values for 6 months before admission and 1 year after discharge. We compared them with 826 nonhospitalized adults with diabetes matched for age, sex, race, comorbidity, and baseline A1C level. We determined the change in A1C value relative to hospitalization and baseline A1C level by using multivariate random effects models for repeated measures. Logistic regression analysis was performed to determine predictors of achieving recommended A1C levels at 1 year.ResultsPatients with baseline A1C levels ≥ 9% had an adjusted rate of change in A1C value of − 0.10% per month (95% confidence interval [CI], − 0.18 to − 0.022; P = .012) during the course of 1 year, without significant differences between hospitalized and nonhospitalized patients in the mean rate of change. Hospitalized patients, however, were less likely to achieve an A1C goal of ≤ 7% at 1 year (odds ratio, 0.68; 95% CI, 0.55 to 0.86; P < .001) or an A1C of < 8% at 1 year (odds ratio, 0.62; 95% CI, 0.48 to 0.81; P < .001) in comparison with the nonhospitalized patients.ConclusionDespite an overall trend toward improved glycemia over time, hospitalized patients with uncontrolled diabetes were less likely to achieve glycemic targets at 1 year in comparison with matched nonhospitalized patients. These results suggest a missed opportunity to improve long-term glycemic control in hospitalized patients with diabetes. (Endocr Pract. 2012;18:456-463)     

Pseudohypoglycemia: a Cause for Unreliable Finger-Stick Glucose Measurements

ObjectiveTo identify patients with an inaccurate diagnosis of hypoglycemia and discuss predisposing factors.MethodsWe describe our patient’s clinical presentation, laboratory work-up, hospital course, and follow-up and review similar cases from the literature.ResultsA 27-year-old woman with Raynaud phenomenon was admitted because of symptomatic hypoglycemia. Physical examination showed tremulousness, sweating, and the classic Raynaud color changes of the hands during episodic symptoms. A 72-hour fast revealed finger-stick capillary glucose values ranging from 32 to 45 mg/dL on multiple occasions, while concurrent plasma glucose values were consistently 1.5 to 2 times higher. Capillary measurements of glucose performed in the arms and legs at room temperature and after warming of each extremity disclosed an increase in glucose levels from a range of 35 to 52 mg/dL at room temperature to a range of 82 to 100 mg/dL after warming, confirming a discordance between capillary and venous blood results. The diagnosis of pseudohypoglycemia was made. Pseudohypoglycemia has been reported in patients with Raynaud phenomenon, peripheral vascular disease, and shock and may result from increased glucose extraction by the tissues because of low capillary flow and increased glucose transit time.ConclusionPseudohypoglycemia should be suspected in the setting of impaired microcirculation and can be confirmed by readily available means. (Endocr Pract. 2008;14:337-339)     

Relationship between HbA1c and Continuous Glucose Monitoring in Chinese Population: A Multicenter Study

Objective

Since there is a paucity of reference data in the literature to indicate the relationship between HbA1c, and 24 h mean blood glucose (MBG) from continuous glucose monitoring (CGM) in Chinese populations, we described the above relationship in adult Chinese subjects with different glucose tolerance status.

Methods

Seven-hundred-and-forty-two individuals without history of diabetes were included to the study at 11 hospitals in urban areas across China from 2007–2009 and data of 673 subjects were included into the final analysis. Oral glucose tolerance test (OGTT) classified the participants as nondiabetic subjects, including those with normal glucose regulation (NGR; n = 121) and impaired glucose regulation (IGR; n = 209), or newly diagnosed type 2 diabetes (n = 343). All participants completed testing for HbA1c levels and wore a CGM system for three consecutive days. The 24 h MBG levels were calculated. Spearman correlations and linear regression analyses were applied to quantify the relationship between glucose markers.

Results

The levels of HbA1c and 24 h MBG significantly increased with presence of glucose intolerance (NGR<IGR<type 2 diabetes; both, P<0.001). Analysis of the total population indicated that HbA1c was strongly correlated with 24 h MBG (r = 0.735). The correlation was also found to be significant for the subgroup of participants with newly diagnosed type 2 diabetes (r = 0.694, P<0.001). Linear regression analysis of the total study population yielded the following equation: 24 h MBG _mmol/L = 1.198×HbA1c–0.582 (24 h MBG _mg/dL = 21.564×HbA1c–10.476) (R² = 0.670, P<0.001). The model fit was not improved by application of exponential or quadratic modeling. When HbA1c was 6.5%, the calculated 24 h MBG was 7.2 (6.4–8.1) mmol/L (130 (115–146) mg/dL); and when HbA1c was 7.0%, the 24 h MBG was 7.8 (6.9–8.7) mmol/L (140 (124–157) mg/dL).

Conclusions

Our study provided the reference data of the relationship between HbA1c and CGM in Chinese subjects.     

Impact of Glucose Management Team on Outcomes of Hospitalization in Patients With Type 2 Diabetes Admitted to the Medical Service

Objective: To improve glycemic control of hospitalized patients with diabetes and hyperglycemia, many medical centers have established dedicated glucose management teams (GMTs). However, the impact of these specialized teams on clinical outcomes has not been evaluated.Methods: We conducted a retrospective study of 440 patients with type 2 diabetes admitted to the medical service for cardiac or infection-related diagnosis. The primary endpoint was a composite outcome of several well-recognized markers of morbidity, consisting of: death during hospitalization, transfer to intensive care unit, initiation of enteral or parenteral nutrition, line infection, new in-hospital infection or infection lasting more than 20 days of hospitalization, deep venous thrombosis or pulmonary embolism, rise in plasma creatinine, and hospital re-admissions.Results: Medical housestaff managed the glycemia in 79% of patients (usual care group), while the GMT managed the glycemia in 21% of patients (GMT group). The primary outcome was similar between cohorts (0.95 events per patient versus 0.99 events per patient in the GMT and usual care cohorts, respectively). For subanalysis, the subjects in both groups were stratified into those with average glycemia of <180 mg/dL versus those with glycemia >180 mg/dL. We found a significant beneficial impact of glycemic management by the GMT on the composite outcome in patients with average glycemia >180 mg/dL during their hospital stay. The number of patients who met primary outcome was significantly higher in the usual care group (40 of 83 patients, 48%) than in the GMT-treated cohort (8 of 33 patients, 25.7%) (P<.02).Conclusion: Our data suggest that GMTs may have an important role in managing difficult-to-control hyperglycemia in the inpatient setting.Abbreviations:BG = blood glucoseGMT = glucose management teamHbA1c = hemoglobin A1cICU = intensive care unitPOC = point of careT2D = type 2 diabetes     

Glycostator: a Novel Technology to Summarize Blood Glucose Control in Patients with Diabetes Mellitus

BackgroundGlycostator is a diabetes management software package consisting of 3 indicators—“time-averaged glucose (TAG),” “virtual A1c (VA1c),” and “lability index”—all devised for statistical manipulation of capillary glucose data and assessment of overall glycemic control. The TAG approximates the average value of the function of blood glucose versus time, adding the element of time to the computation of the mean glucose value. It mitigates the major pitfall of the arithmetical averaging methods currently available in glucose-monitoring devices: bias toward glycemic extremes. With use of the TAG value and a linear function, Glycostator calculates VA1c, a statistical emulation of the laboratory hemoglobin A1c (HgbA1c).MethodsWe examined the relationship between Glycostator-calculated VA1c and laboratory-determined HgbA1c in 57 patients.ResultsGlycostator VA1c results were within 15% of concomitant laboratory HgbA1c values in 82% of the patients studied. Further analysis revealed that 60 to 90 days of testing and an average of 3 or more finger-stick glucose tests per day optimized the accuracy of the VA1c as a predictor of HgbA1c (91% of these patients’ VA1c values were within 15% of the concomitant HgbA1c laboratory value).ConclusionIn patients who test blood glucose frequently, VA1c complements HgbA1c as a measure of overall glucose control and has the advantage of being updated after each blood glucose test for patient and physician feedback. Glycostator parameters are calculated by using recurrence relation algorithms that can be easily implemented on currently available blood glucose monitors. (Endocr Pract. 2008;14:1115-1125)     

Lack of Correlation Between 1,5-Anhydroglucitol Assay and Oral Glucose Tolerance Test in Patients with Cystic Fibrosis

ObjectiveTo determine whether the 1,5-anhydroglucitol (1,5-AG) assay, which reflects serum glucose levels during the preceding 2 weeks, could be used as an alternative to the current standard screening test for cystic fibrosis-related diabetes (CFRD)—the oral glucose tolerance test (OGTT).MethodsSerum 1,5-AG, hemoglobin A1c (A1C), fructosamine, and glucose at various time intervals during the OGTT were measured in 10 patients, 19 to 36 years old, with cystic fibrosis. Correlation coefficients were calculated to compare 1,5-AG with A1C, fructosamine, and serum glucose levels during the OGTT, and the mean 1,5- AG, A1C, and fructosamine for normal glucose tolerance, impaired glucose tolerance (IGT), and CFRD were compared statistically.ResultsOn the basis of the 120-minute OGTT, 1 of the 10 study subjects had CFRD and 4 had IGT. The mean 1,5-AG for patients with normal glucose tolerance was not significantly different from that for patients with IGT (P = .063). The 1,5-AG value was not significantly correlated with serum glucose during the OGTT, A1C, or fructosamine.ConclusionIn this pilot study, we found no significant correlation between 1,5-AG and glucose values during the OGTT or between 1,5-AG and other glycemic markers.Hence, the utility of the 1,5-AG assay for screening for CFRD in the population of patients with cystic fibrosis may be limited. (Endocr Pract. 2010;16:167-170)     

Greater Combined Reductions in Hba1C ≥1.0% and Weight ≥5.0% with Semaglutide Versus Comparators in type 2 Diabetes

Objective: Semaglutide is a glucagon-like peptide 1 (GLP-1) analog for the once-weekly treatment of type 2 diabetes (T2D). In the global SUSTAIN clinical trial program, semaglutide demonstrated superior glycated hemoglobin (HbA_1c) and body weight reductions versus comparators. This post hoc analysis compared the proportion of patients achieving combined reductions in glycemia and body weight versus comparators.Methods: A total of 5,119 subjects with T2D in the phase 3 SUSTAIN 1 through 5 and 7 trials, from 33 countries, were included in this post hoc analysis. Subjects received subcutaneous semaglutide 0.5 or 1.0 mg, placebo or active comparator (sitagliptin 100 mg, exenatide extended release 2.0 mg, insulin glargine, dulaglutide 0.75 or 1.5 mg). The main endpoint was a composite of ≥1.0% HbA_1c reduction and ≥5.0% weight loss at end of treatment.Results: Significantly greater proportions of subjects achieved the composite endpoint with semaglutide 0.5 (25 to 38%) and 1.0 mg (38 to 59%) versus comparators (2 to 23%). More subjects treated with semaglutide versus comparators achieved ≥1.0% HbA_1c reductions (58 to 77% and 75 to 83% for semaglutide 0.5 and 1.0 mg versus 12 to 68%) and ≥5.0% weight loss (37 to 46%, 45 to 66% versus 4 to 30%). Proportions of subjects achieving targets were significantly higher with semaglutide 1.0 versus 0.5 mg in four of five trials. Semaglutide was well tolerated, with a safety profile similar to other GLP-1 receptor agonists.Conclusion: Significantly more subjects achieved both ≥1.0% HbA_1c reduction and ≥5.0% weight loss with once-weekly subcutaneous semaglutide treatment versus comparators in the SUSTAIN trials. A dose-dependent effect was observed with semaglutide.Abbreviations: AE = adverse event; CV = cardiovascular; ER = extended release; GLP-1 = glucagon-like peptide 1; GLP-1 RA = glucagon-like peptide 1 receptor agonist; HbA_1c = glycated hemoglobin; OAD = oral antidiabetic drug; sc = subcutaneous; T2D = type 2 diabetes     

Prevalence of Diabetes,Prediabetes, and Stress Hyperglycemia: Insulin Therapy and Metabolic Control in Patients on Total Parenteral Nutrition (Prospective Multicenter Study)

ObjectiveThe prevalence of carbohydrate metabolism disorders in patients who receive total parenteral nutrition (TPN) is not well known. These disorders can affect the treatment, metabolic control, and prognosis of affected patients. The aims of this study were to determine the prevalence in noncritically ill patients on TPN of diabetes, prediabetes, and stress hyperglycemia; the factors affecting hyperglycemia during TPN; and the insulin therapy provided and the metabolic control achieved.MethodsWe undertook a prospective multicenter study involving 19 Spanish hospitals. Noncritically ill patients who were prescribed TPN were included, and data were collected on demographic, clinical, and laboratory variables (glycated hemoglobin, C-reactive protein [CRP], capillary blood glucose) as well as insulin treatment.ResultsThe study included 605 patients. Before initiation of TPN, the prevalence of known diabetes was 17.4%, unknown diabetes 4.3%, stress hyperglycemia 7.1%, and prediabetes 27.8%. During TPN therapy, 50.9% of patients had at least one capillary blood glucose of > 180 mg/dL. Predisposing factors were age, levels of CRP and glycated hemoglobin, the presence of diabetes, infectious complications, the number of grams of carbohydrates infused, and the administration of glucose-elevating drugs. Most (71.6%) patients were treated with insulin. The mean capillary blood glucose levels during TPN were: known diabetes (178.6 ± 46.5 mg/dL), unknown diabetes (173.9 ± 51.9), prediabetes (136.0 ± 25.4), stress hyperglycemia (146.0 ± 29.3), and normal (123.2 ± 19.9) (P < .001).ConclusionThe prevalence of carbohydrate metabolism disorders is very high in noncritically ill patients on TPN. These disorders affect insulin treatment and the degree of metabolic control achieved. (Endocr Pract. 2015;21:59-67)