scholarly journals Thresholds of Glycemia and the Outcomes of COVID-19 Complicated With Diabetes: A Retrospective Exploratory Study Using Continuous Glucose Monitoring

Author(s):  
Yun Shen ◽  
Xiaohong Fan ◽  
Lei Zhang ◽  
Yaxin Wang ◽  
Cheng Li ◽  
...  

<i>Objective: </i>Although elevated glucose levels are reported to be associated with adverse outcomes of coronavirus disease 2019 (COVID-19), the optimal range of glucose in patients with COVID-19 and diabetes remains unknown. This study aimed to investigate the threshold of glycemia and its association with the outcomes of COVID-19. <p><i>Research design and methods:</i> Glucose levels were assessed via intermittently scanned continuous glucose monitoring in 35 patients with an average period of 10.2 days. The percentages of time above range (TAR), time below range (TBR), time in range (TIR), and coefficient of variation (CV) were calculated. Composite adverse outcomes were defined as either the need for admission to intensive care unit, need for mechanic ventilation, or morbidity with critical illness. </p> <p><i>Results:</i> TARs with the threshold from 160 mg/dL - 200 mg/dL were all significantly associated with composite adverse outcomes after adjustment of covariates. Both TBR (<70 mg/dL) and TIR of 70 mg/dL - 160 mg/dL, but not mean sensor glucose level, were significantly associated with composite adverse outcomes and prolonged hospitalization. The multivariate-adjusted odds ratios of the CV of sensor glucose across its tertiles for composite adverse outcomes of COVID-19 were 1.00, 1.18, and 25.2, respectively. </p> <p><i>Conclusions:</i> Patients with diabetes and COVID-19 have an increased risk of adverse outcomes with glucose levels over 160 mg/dL, below 70 mg/dL, and a high CV. Therapies that improve these metrics of glycemic control may result in better prognoses for these patients.</p>

2021 ◽  
Author(s):  
Yun Shen ◽  
Xiaohong Fan ◽  
Lei Zhang ◽  
Yaxin Wang ◽  
Cheng Li ◽  
...  

<i>Objective: </i>Although elevated glucose levels are reported to be associated with adverse outcomes of coronavirus disease 2019 (COVID-19), the optimal range of glucose in patients with COVID-19 and diabetes remains unknown. This study aimed to investigate the threshold of glycemia and its association with the outcomes of COVID-19. <p><i>Research design and methods:</i> Glucose levels were assessed via intermittently scanned continuous glucose monitoring in 35 patients with an average period of 10.2 days. The percentages of time above range (TAR), time below range (TBR), time in range (TIR), and coefficient of variation (CV) were calculated. Composite adverse outcomes were defined as either the need for admission to intensive care unit, need for mechanic ventilation, or morbidity with critical illness. </p> <p><i>Results:</i> TARs with the threshold from 160 mg/dL - 200 mg/dL were all significantly associated with composite adverse outcomes after adjustment of covariates. Both TBR (<70 mg/dL) and TIR of 70 mg/dL - 160 mg/dL, but not mean sensor glucose level, were significantly associated with composite adverse outcomes and prolonged hospitalization. The multivariate-adjusted odds ratios of the CV of sensor glucose across its tertiles for composite adverse outcomes of COVID-19 were 1.00, 1.18, and 25.2, respectively. </p> <p><i>Conclusions:</i> Patients with diabetes and COVID-19 have an increased risk of adverse outcomes with glucose levels over 160 mg/dL, below 70 mg/dL, and a high CV. Therapies that improve these metrics of glycemic control may result in better prognoses for these patients.</p>


2021 ◽  
Author(s):  
Akinori Hayashi ◽  
Naoya Shimizu ◽  
Agena Suzuki ◽  
Kenta Matoba ◽  
Akari Momozono ◽  
...  

<b>OBJECTIVE</b> <p>There is a high risk of asymptomatic hypoglycemia associated with hemodialysis (HD) using glucose-free dialysate; therefore, the inclusion of glucose in the dialysate is believed to prevent intradialytic hypoglycemia. However, the exact glycemic fluctuation profiles and frequency of asymptomatic hypoglycemia using dialysates containing >100 mg/dL glucose have not been determined.</p> <p><b>RESEARCH DESIGN AND METHODS</b></p> <p>We evaluated the glycemic profiles of 98 type 2 diabetes patients undergoing HD (68 men, HbA1c 6.4±1.2%, glycated albumin 20.8±6.8%) with a dialysate containing 100, 125, or 150 mg/dL glucose using continuous glucose monitoring.</p> <p><b>RESULTS</b></p> <p>Sensor glucose level (SGL) showed a sustained decrease during HD, irrespective of the dialysate glucose concentration, and reached a nadir that was lower than the dialysate glucose concentration in 49 participants (50%). Twenty-one participants (21%) presented with HD-related hypoglycemia, defined by an SGL <70 mg/dL during HD and/or between the end of HD and their next meal. All these hypoglycemic episodes were asymptomatic. Measures of glycemic variability calculated using the SGL data (standard deviation, coefficient of variation, and range of SGL) were higher and time below range (<70 mg/dL) was lower in participants who experienced HD-related hypoglycemia than in those who did not, whereas time in range between 70 and 180 mg/dL, time above range (>180 mg/dL), HbA1c and GA of the two groups were similar.</p> <p><b>CONCLUSIONS</b></p> <p>Despite the use of dialysate containing 100–150 mg/dL glucose, diabetic HD patients experienced HD-related hypoglycemia unawareness frequently. SGL may fall well below the dialysate glucose concentration toward the end of HD.<br> </p>


2021 ◽  
Author(s):  
Akinori Hayashi ◽  
Naoya Shimizu ◽  
Agena Suzuki ◽  
Kenta Matoba ◽  
Akari Momozono ◽  
...  

<b>OBJECTIVE</b> <p>There is a high risk of asymptomatic hypoglycemia associated with hemodialysis (HD) using glucose-free dialysate; therefore, the inclusion of glucose in the dialysate is believed to prevent intradialytic hypoglycemia. However, the exact glycemic fluctuation profiles and frequency of asymptomatic hypoglycemia using dialysates containing >100 mg/dL glucose have not been determined.</p> <p><b>RESEARCH DESIGN AND METHODS</b></p> <p>We evaluated the glycemic profiles of 98 type 2 diabetes patients undergoing HD (68 men, HbA1c 6.4±1.2%, glycated albumin 20.8±6.8%) with a dialysate containing 100, 125, or 150 mg/dL glucose using continuous glucose monitoring.</p> <p><b>RESULTS</b></p> <p>Sensor glucose level (SGL) showed a sustained decrease during HD, irrespective of the dialysate glucose concentration, and reached a nadir that was lower than the dialysate glucose concentration in 49 participants (50%). Twenty-one participants (21%) presented with HD-related hypoglycemia, defined by an SGL <70 mg/dL during HD and/or between the end of HD and their next meal. All these hypoglycemic episodes were asymptomatic. Measures of glycemic variability calculated using the SGL data (standard deviation, coefficient of variation, and range of SGL) were higher and time below range (<70 mg/dL) was lower in participants who experienced HD-related hypoglycemia than in those who did not, whereas time in range between 70 and 180 mg/dL, time above range (>180 mg/dL), HbA1c and GA of the two groups were similar.</p> <p><b>CONCLUSIONS</b></p> <p>Despite the use of dialysate containing 100–150 mg/dL glucose, diabetic HD patients experienced HD-related hypoglycemia unawareness frequently. SGL may fall well below the dialysate glucose concentration toward the end of HD.<br> </p>


2021 ◽  
Vol 9 (1) ◽  
pp. e002032
Author(s):  
Marcela Martinez ◽  
Jimena Santamarina ◽  
Adrian Pavesi ◽  
Carla Musso ◽  
Guillermo E Umpierrez

Glycated hemoglobin is currently the gold standard for assessment of long-term glycemic control and response to medical treatment in patients with diabetes. Glycated hemoglobin, however, does not address fluctuations in blood glucose. Glycemic variability (GV) refers to fluctuations in blood glucose levels. Recent clinical data indicate that GV is associated with increased risk of hypoglycemia, microvascular and macrovascular complications, and mortality in patients with diabetes, independently of glycated hemoglobin level. The use of continuous glucose monitoring devices has markedly improved the assessment of GV in clinical practice and facilitated the assessment of GV as well as hypoglycemia and hyperglycemia events in patients with diabetes. We review current concepts on the definition and assessment of GV and its association with cardiovascular complications in patients with type 2 diabetes.


2019 ◽  
Vol 104 (10) ◽  
pp. 4356-4364 ◽  
Author(s):  
Viral N Shah ◽  
Stephanie N DuBose ◽  
Zoey Li ◽  
Roy W Beck ◽  
Anne L Peters ◽  
...  

Abstract Context Use of continuous glucose monitoring (CGM) is increasing for insulin-requiring patients with diabetes. Although data on glycemic profiles of healthy, nondiabetic individuals exist for older sensors, assessment of glycemic metrics with new-generation CGM devices is lacking. Objective To establish reference sensor glucose ranges in healthy, nondiabetic individuals across different age groups using a current generation CGM sensor. Design Multicenter, prospective study. Setting Twelve centers within the T1D Exchange Clinic Network. Patients or Participants Nonpregnant, healthy, nondiabetic children and adults (age ≥6 years) with nonobese body mass index. Intervention Each participant wore a blinded Dexcom G6 CGM, with once-daily calibration, for up to 10 days. Main Outcome Measures CGM metrics of mean glucose, hyperglycemia, hypoglycemia, and glycemic variability. Results A total of 153 participants (age 7 to 80 years) were included in the analyses. Mean average glucose was 98 to 99 mg/dL (5.4 to 5.5 mmol/L) for all age groups except those over 60 years, in whom mean average glucose was 104 mg/dL (5.8 mmol/L). The median time between 70 to 140 mg/dL (3.9 to 7.8 mmol/L) was 96% (interquartile range, 93 to 98). Mean within-individual coefficient of variation was 17 ± 3%. Median time spent with glucose levels &gt;140 mg/dL was 2.1% (30 min/d), and median time spent with glucose levels &lt;70 mg/dL (3.9 mmol/L) was 1.1% (15 min/d). Conclusion By assessing across age groups in a healthy, nondiabetic population, normative sensor glucose data have been derived and will be useful as a benchmark for future research studies.


2015 ◽  
Vol 41 (1-3) ◽  
pp. 18-24 ◽  
Author(s):  
Ahad Qayyum ◽  
Tahseen A. Chowdhury ◽  
Elizabeth Ley Oei ◽  
Stanley L. Fan

Introduction: Glycated hemoglobin is used to assess diabetic control although its accuracy in dialysis has been questioned. How does it compare to the Continuous Glucose Monitoring System (CGMS) in peritoneal dialysis (PD) patients? Methods: We conducted a retrospective analysis of 60 insulin-treated diabetic patients on PD. We determined the mean interstitial glucose concentration and the proportion of patients with hypoglycemia (<4 mmol/l) or hyperglycemia (>11 mmol/l). Results: The correlation between HbA1c and glucose was 0.48, p < 0.0001. Three of 15 patients with HbA1c >75 mmol/mol experienced significant hypoglycemia (14-144 min per day). The patients with frequent episodes of hypoglycemia could not be differentiated from those with frequent hyperglycemia by demographics or PD prescription. Conclusion: HbA1c and average glucose levels measured by the CGMS are only weakly correlated. On its own, HbA1c as an indicator of glycemic control in patients with diabetes on PD appears inadequate. We suggest that the CGMS technology should be more widely adopted.


2021 ◽  
Author(s):  
Grazia Aleppo ◽  
Roy W. Beck ◽  
Ryan Bailey ◽  
Katrina J. Ruedy ◽  
Peter Calhoun ◽  
...  

<b>Objective: </b>To explore the effect of discontinuing continuous glucose monitoring (CGM) after 8 months of CGM use in adults with type 2 diabetes treated with basal without bolus insulin. <p><b>Research Design and Methods:</b> Multi-center trial with an initial randomization to either real-time CGM or blood glucose monitoring (BGM) for 8 months, followed by 6 months in which the BGM Group continued to use BGM (N=57) and the CGM Group was re-randomized either to continue CGM (N=53) or discontinue CGM with resumption of BGM for glucose monitoring (N=53). </p> <p><b>Results: </b>In the group that discontinued CGM, mean time in range 70-180 mg/dL (TIR), which improved from 38% prior to initiating CGM to 62% after 8 months of CGM, decreased after discontinuing CGM to 50% at 14 months (mean change from 8 to 14 months = -12%, 95% CI -21% to -3%, P=0.01). In the group continuing CGM, there was little change in TIR from 8 to 14 months (baseline 44%, 8 months 56%, 14 months 57%; mean change 8 to 14 months = 1%, 95% CI -11% to 12%, P=0.89). Comparing the two groups at 14 months, the adjusted treatment group difference in mean TIR was -6% (95% CI -16% to 4%, P=0.20).</p> <p><b>Conclusions: </b>In adults with type 2 diabetes treated with basal insulin who had been using real-time CGM for 8 months, discontinuing CGM resulted in a loss of about half of the initial gain in TIR that had been achieved during CGM use.</p>


2021 ◽  
Vol 8 (16) ◽  
pp. 1-142
Author(s):  
Kathryn Beardsall ◽  
Lynn Thomson ◽  
Catherine Guy ◽  
Simon Bond ◽  
Annabel Allison ◽  
...  

Background Hyperglycaemia and hypoglycaemia are common in preterm infants and are associated with increased mortality and morbidity. Continuous glucose monitoring is widely used to target glucose control in adults and children, but not in neonates. Objective To evaluate the role of continuous glucose monitoring in the preterm infant. Design The REAl-time Continuous glucose moniToring in neonatal intensive care project combined (1) a feasibility study, (2) a multicentre randomised controlled trial and (3) a pilot of ‘closed-loop’ continuous glucose monitoring. The feasibility study comprised a single-centre study (n = 20). Eligibility criteria included a birthweight ≤ 1200 g and aged ≤ 48 hours. Continuous glucose monitoring was initiated to support glucose control. The efficacy and safety outcomes guided the design of the randomised controlled trial. The randomised controlled trial comprised a European multicentre trial (n = 182). Eligibility criteria included birthweight ≤ 1200 g and aged ≤ 24 hours. Exclusion criteria included any lethal congenital abnormality. Continuous glucose monitoring was initiated to support glucose control within 24 hours of birth. In the intervention group, the continuous glucose monitoring sensor provided real-time data on glucose levels, which guided clinical management. In control infants, the continuous glucose monitoring data were masked, and glucose level was managed in accordance with standard clinical practice and based on the blood glucose levels. The primary outcome measure was the percentage of time during which the sensor glucose level was within the target range of 2.6–10 mmol/l. Secondary outcome measures included mean sensor glucose level, the percentage of time during which the sensor glucose level was within the target range of 4–8 mmol/l, the percentage of time during which the sensor glucose level was in the hyperglycaemic range (i.e. > 15 mmol/l) and sensor glucose level variability. Safety outcomes included hypoglycaemia exposure. Acceptability assessment and health economic analyses were carried out and further exploratory health outcomes were explored. The mean percentage of time in glucose target range of 2.6–10 mmol/l was 9% higher in infants in the continuous glucose monitoring group (95% confidence interval 3% to 14%; p = 0.002), and the mean time in the target range of 4–8 mmol/l was 12% higher in this group (95% confidence interval 4% to 19%; p = 0.004). There was no difference in the number of episodes of hypoglycaemia. Exploratory outcomes showed a reduced risk of necrotising enterocolitis in the intervention arm (odds ratio 0.33, 95% confidence interval 0.13 to 0.78; p = 0.01). Health economic analyses demonstrated that continuous glucose monitoring was cost-effective on the basis of the cost per additional case of adequate glucose control between 2.6 and 10 mmol/l. The ‘closed-loop’ study was a single-center pilot study, with eligibility criteria including a birthweight of ≤ 1200 g and aged ≤ 48 hours. Infants underwent continuous glucose monitoring for the first week of life (n = 21), with those in the intervention group receiving closed-loop insulin delivery between 48 and 72 hours of age. The primary outcome of percentage of time in the target range (i.e. sensor glucose 4–8 mmol/l) increased from a median of 26% (interquartile range 6–64%) to 91% (interquartile range 78–99%) during closed-loop insulin delivery (p < 0.001). Limitations These studies have not defined the optimal targets for glucose control or the best strategies to achieve them in these infants. Future work Studies are needed to evaluate the longer-term impact of targeting glucose control on clinical outcomes. Conclusions Continuous glucose monitoring in extremely preterm infants can improve glucose control, with closed-loop insulin delivery having further potential to target glucose levels. Staff and parents felt that the use of continuous glucose monitoring improved care and the results of the health economic evaluation favours the use of continuous glucose monitoring. Trial registration Current Controlled Trials ISRCTN12793535. Funding This project was funded by the Efficacy and Mechanism Evaluation (EME) programme, a MRC and National Institute for Health Research (NIHR) partnership. This will be published in full in Efficacy and Mechanism Evaluation; Vol. 8, No. 16. See the NIHR Journals Library website for further project information. Medtronic plc provided some MiniMed™ 640G systems and Nova Biomedical (Waltham, MA, USA) provided point-of-care devices.


2021 ◽  
Vol 13 (1) ◽  
Author(s):  
Jen-Hung Huang ◽  
Yung-Kuo Lin ◽  
Ting-Wei Lee ◽  
Han-Wen Liu ◽  
Yu-Mei Chien ◽  
...  

Abstract Background Glucose monitoring is vital for glycemic control in patients with diabetes mellitus (DM). Continuous glucose monitoring (CGM) measures whole-day glucose levels. Hemoglobin A1c (HbA1c) is a vital outcome predictor in patients with DM. Methods This study investigated the relationship between HbA1c and CGM, which remained unclear hitherto. Data of patients with DM (n = 91) who received CGM and HbA1c testing (1–3 months before and after CGM) were retrospectively analyzed. Diurnal and nocturnal glucose, highest CGM data (10%, 25%, and 50%), mean amplitude of glycemic excursions (MAGE), percent coefficient of variation (%CV), and continuous overlapping net glycemic action were compared with HbA1c values before and after CGM. Results The CGM results were significantly correlated with HbA1c values measured 1 (r = 0.69) and 2 (r = 0.39) months after CGM and 1 month (r = 0.35) before CGM. However, glucose levels recorded in CGM did not correlate with the HbA1c values 3 months after and 2–3 months before CGM. MAGE and %CV were strongly correlated with HbA1c values 1 and 2 months after CGM, respectively. Diurnal blood glucose levels were significantly correlated with HbA1c values 1–2 months before and 1 month after CGM. The nocturnal blood glucose levels were significantly correlated with HbA1c values 1–3 months before and 1–2 months after CGM. Conclusions CGM can predict HbA1c values within 1 month after CGM in patients with DM.


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