Verification of glycemic profiles using continuous glucose monitoring: cases with steroid use, liver cirrhosis, enteral nutrition, or late dumping syndrome

Intermittently Scanned Continuous Glucose Monitoring Performance in Patients With Liver Cirrhosis

AIM

To evaluate the use of intermittently scanned continuous glucose monitoring (isCGM) in patients with liver cirrhosis (LC).

METHODS

Observational study including 30 outpatients with LC (Child-Pugh B/C): 10 without diabetes (DM) (G1), 10 with newly diagnosed DM by oral glucose tolerance test (G2), and 10 with a previous DM diagnosis (G3). isCGM (FreeStyle Libre Pro) was used for 56 days (four sensors/patient). Blood tests were performed at baseline and after 28 and 56 days.

RESULTS

No differences were found in the baseline characteristics, except for higher age in G3. There were significant differences between G1, G2 and G3 in glucose management indicator (GMI) (5.28 ± 0.17, 6.03 ± 0.59, 6.86 ± 1.08%, P < .001), HbA1c (4.82 ± 0.39, 5.34 ± 1.26, 6.97 ± 1.47%, P < .001), average glucose (82.79 ± 7.06, 113.39 ± 24.32, 149.14 ± 45.31mg/dL, P < .001), time in range (TIR) (70.89 ± 9.76, 80.2 ± 13.55, 57.96 ± 17.96%, P = .006), and glucose variability (26.1 ± 5.0, 28.21 ± 5.39, 35.31 ± 6.85%, P = .004). There was discordance between GMI and HbA1c when all groups were considered together, with a mean difference of 0.35% (95% SD 0.17, 0.63). In G1, the mean difference was 0.46% (95% SD 0.19, 0.73) and in G2 0.69% (95% SD 0.45, 1.33). GMI and HbA1c were concordant in G3, with a mean difference of -0.10 % (95% SD [-0.59, 0.38]).

CONCLUSION

Disagreements were found between the GMI and HbA1c levels in patients with LC. isCGM was able to detect abnormalities in glycemic control that would not be detected by monitoring with HbA1c, suggesting that isCGM can be useful in assessing glycemic control in patients with LC.

Hypoglycemia measured by flash glucose monitoring system predicts liver-related events in chronic liver disease patients

Impaired glucose tolerance, glucose fluctuations, and hypoglycemia have been observed in patients with chronic liver disease (CLD). The flash glucose monitoring (FGM) system, which recognises continuous and dynamic glucose changes in real time, is used in daily clinical practice. This study aimed to examine the association between glucose fluctuations and hypoglycemia, as measured by the FGM system, and liver-related events. Seventy-two patients with CLD and type 2 DM who had their blood glucose measured using Freestyle Libre Pro between April 2017 and July 2018 at our institution were enrolled in this retrospective study. We assessed the results of the FGM system measurements and liver-related events, as defined by gastrointestinal bleeding, infection, ascites, encephalopathy, and liver-related death. The standard deviation (SD) of mean glucose as measured by the FGM system was 41.55 mg/dl, and hypoglycemia was observed in 48.6% (35/72) of the patients. Liver-related event-free survival was not significant when stratified based on SD; however, the event-free survival was significantly lower when stratified by hypoglycemia (p = 0.007). In a multivariate analysis using the Cox proportional hazards model, Child-Pugh class B [Hazards ratio (HR) 2.347 (95% confidence interval (CI): 1.042-5.283), p = 0.039] and hypoglycemia [HR 2.279 (95% CI: 1.064-4.881), p = 0.034] were identified as factors contributing to event-free survival. Hypoglycemia, as determined by the FGM system, was identified as a significant factor that was closely associated with liver-related events. In addition to measuring glucose levels, the FGM system is useful in predicting the occurrence of liver-related events.

Pitfalls of intermittent continuous glucose monitoring in patients with steroid diabetes

Only a few studies of continuous glucose monitoring (CGM) in patients with steroid diabetes have been published. Therefore, we investigated all patients with type 2 diabetes (n = 121) and steroid diabetes (n = 40) who used the FreeStyle Libre Pro^® device (Abbott Japan) at Gunma University Hospital between 2017 and 2019. Glycated hemoglobin (HbA1c), mean sensor glucose (SG), and glucose management indicator values were similar in both groups. However, the indices for glycemic variabilities, expressed as standard deviations and percent coefficients of variation, were higher in patients with steroid diabetes than in those with type 2 diabetes. The associations between HbA1c, mean SG, and time in range (TIR) when glucose values were 70-180, <70, or >180 mg/dL were assessed using Pearson's product-moment correlation coefficient, which demonstrated good correlations in both patient groups. However, patients with steroid diabetes had a higher SG and lower TIR than did counterparts with type 2 diabetes who had similar HbA1c levels. To examine the effect of prednisolone on CGM data, we divided patients with steroid diabetes into 2 subgroups according to prednisolone dose (≤5 and >5 mg), and found that the dose of this steroid impacted the associations between HbA1c and CGM data, mean SG, and TIR. In summary, our data highlight the importance of cautiously interpreting CGM data and the optimal HbA1c level in patients with steroid diabetes to prevent diabetes-related complications. Further analyses using other CGM devices are necessary to further validate our findings.

Glycemic Profile of Intravenous Dexamethasone-Induced Hyperglycemia Using Continuous Glucose Monitoring

Patient: Female, 70-year-old

Final Diagnosis: Diabetes mellitus type 2 • pancreatic adenocarcinoma

Symptoms: Hyperglycemia

Medication: Insulin • Dexamethasone

Clinical Procedure: Continuous glucose monitoring (CGM)

Specialty: Endocrinology • Diabetes and Metabolism

Continuous Glucose Monitoring to Diagnose Hypoglycemia Due to Late Dumping Syndrome in Children After Gastric Surgeries

Gastrostomy tubes (G-tubes) and Nissen fundoplication are common surgical interventions for feeding difficulties and gastroesophageal reflux disease in children. A potential yet often missed, complication of these procedures is dumping syndrome. We present 3 pediatric patients with postprandial hypoglycemia due to late dumping syndrome after gastric surgeries. All patients received gastrostomy tubes for feeding intolerance: 2 had Nissen fundoplication for gastroesophageal reflux disease, and 1 had tracheoesophageal repair. All patients underwent multiple imaging studies in an to attempt to diagnose dumping syndrome. Continuous glucose monitoring (CGM) was essential for detecting asymptomatic hypoglycemia and glycemic excursions occurring with feeds that would have gone undetected with point-of-care (POC) blood glucose checks. CGM was also used to monitor the effectiveness of treatment strategies and drive treatment plans. These cases highlight the utility of CGM in diagnosing postprandial hypoglycemia due to late dumping syndrome, which is infrequently diagnosed by imaging studies and intermittent POC blood glucose measurements.

Clinical Performance of Flash Glucose Monitoring System in Patients with Liver Cirrhosis and Diabetes Mellitus

Flash glucose monitoring system (FGMS) is an improved subset of continuous glucose monitoring with a recognized effectiveness on glycemic control, though validation in patients with Liver Cirrhosis (LC) is lacking. To evaluate the accuracy of FGMS in patients with Type 2 Diabetes Mellitus (DM) and LC, a prospective, case-control study was performed in 61 ambulatory patients with LC and DM (LC group, n = 31) or DM (Control group, n = 30). During 14 days, patients performed 4 assessments per day of self-monitoring of blood glucose (SMBG, reference value) followed by FGMS scanning. There were 2567 paired SMBG and FGMS values used in the accuracy analysis, with an overall mean absolute relative difference (MARD) of 12.68% in the LC group and 10.55% in the control group (p < 0,001). In patients with LC, the percentage of readings within Consensus Consensus Error Grid analysis Zone A and A + B were 80.36% and 99,26%, respectively. Sensor clinical accuracy was not affected by factors such as body mass index, age, gender, Child-Pugh score or edematoascitic decompensation. This is the first study to approach FGMS clinical accuracy in LC, revealing a potential usability of this system to monitor glycemic control in this population.

The Degree of Hyperglycemia Excursion in Patients of Kidney Transplantation (KT) or Liver Transplantation (LT) Assessed by Continuous Glucose Monitoring (CGM): Pilot Study

OBJECTIVE

This study used a continuous glucose monitoring system (CGMS) to investigate the glucose profiles and assess the degree of hyperglycemic excursion after kidney or liver transplantation during the early period after operation.

METHODS

Patients to whom a CGMS was attached during a postoperative period of approximately one month after transplantation were included. The CGM data of 31 patients including 24 with kidney transplantation (KT) and seven with liver transplantation (LT) were analyzed.

RESULTS

Hyperglycemia over 126 mg/dL (fasting) or 200 g/dL (postprandial) occurred in 42.1% (8/19) and 16.7% (1/6) of KT and LT patients, respectively, during this early period after transplantation, except for patients with preexisting diabetes (5 KT, 1 LT). The average mean amplitude of glycemic excursion (MAGE) and mean absolute glucose (MAG) levels were 91.18 ± 26.51 vs. 65.66 ± 22.55 (P < 0.05) and 24.62 ± 7.78 vs. 18.18 ± 7.07 (P < 0.05) in KT vs. LT patients, respectively, in patients without preexisting DM or PTDM patients who showed normal glucose levels. Average increase from the lowest level to the peak glucose value was higher in KT patients than LT patients (P < 0.05). Conclusions. The transplanted organ also needs to be considered as an important factor affecting glucose control and the occurrence of more severe glucose excursions in patients who receive transplantation although immunosuppression agents are well-known important factors; however, our study was limited to the early posttransplantation period. Further studies involving CGM follow-up at regular intervals based on the time since transplantation are needed.

Hemoglobin A1c Has Suboptimal Performance to Diagnose and Monitor Diabetes Mellitus in Patients with Cirrhosis

BACKGROUND

Glycated hemoglobin A1c (HbA1c) is routinely used to diagnose and monitor type 2 diabetes mellitus (T2DM) in cirrhotic patients. Remarkably, HbA1c may be falsely low in such patients.

AIMS

We assessed the diagnostic and monitoring yield of HbA1c in cirrhotic patients with T2DM (DM-Cirr) and without T2DM (NoDM-Cirr).

METHODS

We conducted a composite study allocating 21 NoDM-Cirr into a cross-sectional module and 16 DM-Cirr plus 13 controls with T2DM only (DM-NoCirr) into a prospective cohort. Oral glucose tolerance test (OGTT) was performed in NoDM-Cirr. DM-Cirr and DM-NoCirr were matched by sex, age, BMI, and T2DM treatment and studied with continuous glucose monitoring (CGM). Percent deviations from target, low/high blood glucose indexes (LBGI/HBGI) were calculated from CGM, as well as the average daily risk range (ADRR) as a marker of glucose variability.

RESULTS

Overall, HbA1c and OGTT diagnostic yield agreed in 12 patients (57%, ρ = 0.45, p < 0.03). CGM captured 3463 glucose determinations in DM-Cirr and 4273 in DM-NoCirr (p = 0.42). Regression analysis showed an inferior association between HbA1c and CGM in DM-Cirr (R² = 0.52), when compared to DM-NoCirr (R² = 0.94), and fructosamine did not improve association for DM-Cirr (R² = 0.31). Interestingly, cirrhosis and Child-Turcotte-Pugh class accounted for HbA1c variance (p < 0.05). Patients in DM-Cirr were less frequently within target glucose (70-180 mg/dL), but at higher risk for hyperglycemia (HBGI > 9) when compared to DM-NoCirr, and they also showed higher glucose variability (ADRR 13.9 ± 2.5 vs. 8.9 ± 1.8, respectively, p = 0.03).

CONCLUSION

HbA1c inaccurately represents chronic glycemia in patients with cirrhosis, likely in relation to increased glucose variability.

Re-evaluation of glycated hemoglobin and glycated albumin with continuous glucose monitoring system as markers of glycemia in patients with liver cirrhosis

Liver cirrhosis (LC) is frequently accompanied by glucose intolerance. The present study was designed to determine whether glycated hemoglobin A1c (HbA1c) and glycated albumin (GA) were predictive markers of glycemia, as determined by a continuous glucose monitoring system (CGMS), in patients with LC. A total of 30 patients with LC, including 3, 19, 5, 2 and 1 with LC due to hepatitis B virus, hepatitis C virus, non-alcoholic steatohepatitis, alcohol and unknown causes, respectively, were assessed by CGMS. The average, maximum and minimum blood glucose (BG) levels were measured by CGMS, and correlated with HbA1c and GA. The average, maximum and minimum BG in these individuals were 142±38.7, 209.3±65.7 and 85.1±25.4 mg/dl, respectively. HbA1c was significantly correlated with average BG (r=0.447, P=0.015) and maximum BG (r=0.523, P=0.004). In addition, GA was significantly correlated with average BG (r=0.687, P<0.001) and maximum BG (r=0.648, P<0.001). Neither HbA1c nor GA was significantly correlated with minimum BG. Correlation analysis yielded formulas by which HbA1c and GA were predictive of average BG in individuals with LC: Average BG=19.2 × HbA1c (%) + 36.5 and average BG=6.6 × GA (%) + 13.0, respectively. In conclusion, HbA1c and GA showed significant correlations with average and maximum BG, as determined by CGMS. The derived formulas allow for estimates of average BG based on HbA1c and GA, and may contribute to the control of glycemia in patients with LC.

Glucose fluctuations reduce quality of sleep and of life in patients with liver cirrhosis

BACKGROUND

Sleep disturbance and decreased health-related quality of life (HRQOL) are significant complaints in patients with liver cirrhosis. Although the etiology of these complications is unclear, we propose that glucose intolerance may be a predisposing factor. Therefore, our aim was to investigate the relationship between glucose intolerance and these complications.

METHODS

We assessed continuous glucose monitoring in 43 patients with chronic liver disease. Among these patients, 36 completed the Pittsburgh Sleep Quality Index (PSQI), the 36-Item Short-form Health Survey (SF-36), and the Neuropsychological Test (NPT). We also assessed the change in glucose fluctuations between preoperative periods and 1 year after liver transplantation in 13 patients.

RESULTS

Standard deviation (SD) of blood glucose was 24.15 ± 13.52. SD values correlated to glucose metabolism measures, including HbA1c and glycoalbumin. SD values also correlated to markers of liver fibrosis, including type IV collagen. Twenty-one patients (58.3 %) were classified as "poor" sleepers, with a global PSQI score ≥6. Glucose fluctuations correlated with the global PSQI score (r = 0.456, p = 0.008) and the SF-36 score (r = 0.434, p = 0.013). Multivariate regression analysis identified SD values as an independent risk factor for sleep disturbance (r = 0.12, p = 0.039) and decreased HRQOL (r = -0.32, p = 0.024). SD values did not correlate with the NPT. SD values were also improved in 11 (84.6 %) patients 1 year after liver transplantation.

CONCLUSION

Abnormal glucose fluctuations are a risk factor for sleep disturbance and decrease of HRQOL in patients with cirrhosis.