Continuous glucose monitoring metrics in pregnancy with type 1 diabetes mellitus

Managing diabetes during pregnancy is challenging,given the significant risk it poses for both maternal and foetal health outcomes.While traditional methods involve capillary self-monitoring of blood glucose level monitoring and periodic HbA1c tests,the advent of continuous glucose monitoring(CGM)systems has revolutionized the approach.These devices offer a safe and reliable means of tracking glucose levels in real-time,benefiting both women with diabetes during pregnancy and the healthcare providers.Moreover,CGM systems have shown a low rate of side effects and high feasibility when used in pregnancies complicated by diabetes,especially when paired with continuous subcutaneous insulin infusion pump as hybrid closed loop device.Such a combined approach has been demonstrated to improve overall blood sugar control,lessen the occurrence of preeclampsia and neonatal hypoglycaemia,and minimize the duration of neonatal intensive care unit stays.This paper aims to offer a comprehensive evaluation of CGM metrics specifically tailored for pregnancies impacted by type 1 diabetes mellitus.

Application and management of continuous glucose monitoring in diabetic kidney disease

Diabetic kidney disease(DKD)is a common complication of diabetes mellitus that contributes to the risk of end-stage kidney disease(ESKD).Wide glycemic var-iations,such as hypoglycemia and hyperglycemia,are broadly found in diabetic patients with DKD and especially ESKD,as a result of impaired renal metabolism.It is essential to monitor glycemia for effective management of DKD.Hemoglobin A1c(HbA1c)has long been considered as the gold standard for monitoring glycemia for>3 months.However,assessment of HbA1c has some bias as it is susceptible to factors such as anemia and liver or kidney dysfunction.Continuous glucose monitoring(CGM)has provided new insights on glycemic assessment and management.CGM directly measures glucose level in interstitial fluid,reports real-time or retrospective glucose concentration,and provides multiple glycemic metrics.It avoids the pitfalls of HbA1c in some contexts,and may serve as a precise alternative to estimation of mean glucose and glycemic variability.Emerging studies have demonstrated the merits of CGM for precise monitoring,which allows fine-tuning of glycemic management in diabetic patients.Therefore,CGM technology has the potential for better glycemic monitoring in DKD patients.More research is needed to explore its application and management in different stages of DKD,including hemodialysis,peritoneal dialysis and kidney transplantation.

Glucose metabolism profile recorded by flash glucose monitoring system in patients with hypopituitarism during prednisone replacement

BACKGROUND Commonly used glucocorticoids replacement regimens in patients with hypopituitarism have difficulty mimicking physiological cortisol rhythms and are usually accompanied by risks of over-treatment,with adverse effects on glucose metabolism.Disorders associated with glucose metabolism are established risk factors of cardiovascular events,one of the life-threatening ramifications.AIM To investigate the glycometabolism profile in patients with hypopituitarism receiving prednisone(Pred)replacement,and to clarify the impacts of different Pred doses on glycometabolism and consequent adverse cardiovascular outcomes.METHODS Twenty patients with hypopituitarism receiving Pred replacement[patient group(PG)]and 20 normal controls(NCs)were recruited.A flash glucose monitoring system was used to record continuous glucose levels during the day,which provided information on glucose-target-rate,glucose variability(GV),period glucose level,and hypoglycemia occurrence at certain periods.Islet β-cell function was also assessed.Based on the administered Pred dose per day,the PG was then regrouped into Pred>5 mg/d and Pred≤5 mg/d subgroups.Comparative analysis was carried out between the PG and NCs.RESULTS Significantly altered glucose metabolism profiles were identified in the PG.This includes significant reductions in glucose-target-rate and nocturnal glucose level,along with elevations in GV,hypoglycemia occurrence and postprandial glucose level,when compared with those in NCs.Subgroup analysis indicated more significant glucose metabolism impairment in the Pred>5 mg/d group,including significantly decreased glucose-target-rate and nocturnal glucose level,along with increased GV,hypoglycemia occurrence,and postprandial glucose level.With regard to islet β-cell function,PG showed significant difference in homeostasis model assessment(HOMA)-β compared with that of NCs;a notable difference in HOMA-βwas identified in Pred>5 mg/d group when compared with those of NCs;as for Pred≤5 mg/d group,significant differences were found in HOMA-β,and fasting glucose/insulin ratio when compared with NCs.CONCLUSION Our results demonstrated that Pred replacement disrupted glycometabolic homeostasis in patients with hypopituitarism.A Pred dose of>5 mg/d seemed to cause more adverse effects on glycometabolism than a dose of≤5 mg/d.Comprehensive and accurate evaluation is necessary to consider a suitable Pred replacement regimen,wherein,flash glucose monitoring system is a kind of promising and reliable assessment device.The present data allows us to thoroughly examine our modern treatment standards,especially in difficult cases such as hormonal replacement mimicking delicate natural cycles,in conditions such as diabetes mellitus that are rapidly growing in worldwide prevalence.

Factors influencing the effectiveness of using flash glucose monitoring on glycemic control for type 1 diabetes in Saudi Arabia

BACKGROUND In 2017,35000 Saudi children and adolescents were living with a type 1 diabetes(T1D)diagnosis.Diabetic complications are minimized upon strengthened glycemic regulation.The annual cost of treating diabetic patients with complications was four-fold higher than for patients without complications.The use of flash glucose monitoring(FGM)enables better diabetes treatment and thereby improves glycemic control.Understanding the factors that affect effectiveness of FGM will help enhance the device’s use and management of hospital resources,resulting in improved outcomes.AIM To investigate factors that affect effectiveness of the FGM system for glycated hemoglobin(HbA1c)levels/glycemic control among T1D patients.METHODS A retrospective empirical analysis of T1D patient records from King Abdul-Aziz University Hospital and Prince Sultan Military Medical City was performed.T1D patients who began FGM between 2017 and 2019 were included.RESULTS The data included 195 T1D patients(70 males and 125 females)with a mean age of 23.6±8.1 years.Among them,152 patients used multiple daily injection and 43 used an insulin pump.The difference in HbA1c level from baseline and after using FGM was-0.60±2.10,with a maximum of 4.70 and a minimum of-6.30.There was a statistically significant negative correlation between the independent variables(age,duration of diabetes,level of engagement)and HbA1c.The group with the highest HbA1c mean(9.85)was 18-years-old,while the group with the lowest HbA1c mean(7.87)was 45-years-old.Patients with a low level of engagement(less than six scans per day)had the highest HbA1c mean(9.84),whereas those with a high level of engagement(more than eight scans per day)had the lowest HbA1c mean(8.33).CONCLUSION With proper education,FGM can help people with uncontrolled T1D over the age of 18 years to control their glucose level.

Continuous glucose monitoring defined time-in-range is associated with sudomotor dysfunction in type 2 diabetes

BACKGROUND Time in range(TIR),as a novel metric for glycemic control,has robust relevance with diabetic complications.Diabetic peripheral neuropathy(DPN)is characterized by sudomotor dysfunction.AIM To explore the relationship between TIR obtained from continuous glucose monitoring(CGM)and sudomotor function detected by SUDOSCAN in subjects with type 2 diabetes.METHODS The research enrolled 466 inpatients with type 2 diabetes.All subjects underwent 3-d CGM and SUDOSCAN.SUDOSCAN was assessed with electrochemical skin conductance in hands(HESC)and feet(FESC).Average feet ESC<60μS was defined as sudomotor dysfunction(+),otherwise it was sudomotor dysfunction(-).TIR refers to the percentage of time when blood glucose is between 3.9-10 mmol/L during 1 d period.RESULTS Among the enrolled subjects,135(28.97%)presented with sudomotor dysfunction.Patients with sudomotor dysfunction(+)showed a decreased level of TIR(P<0.001).Compared to the lowest tertile of TIR,the middle and the highest tertiles of TIR was associated with an obviously lower prevalence of sudomotor dysfunction(20.51%and 21.94%vs 44.52%)(P<0.001).In addition,with the increase of TIR,HESC and FESC increased(P<0.001).Regression analysis demonstrated that TIR was inversely and independently linked with the prevalence of sudomotor dysfunction after adjusting for confounding values(odds ratio=0.979,95%CI:0.971-0.987,P<0.001).CONCLUSION The tight glycemic control assessed by TIR is of vitally protective value for sudomotor dysfunction in type 2 diabetes mellitus.

Review of minimally invasive continuous glucose monitoring technology & instruments

Continuous blood glucose monitoring is important for the diagnosis,treatment,and study of diabetes. many organizations have been working on this subject in recent two decades. Glucose concentration in interstitial fluid is closely related to the blood glucose levels. Minimally invasive continuous blood glucose monitoring technology based on the glucose detection in interstitial fluid develops rapidly and gets more and more attentions from the patients and the doctors,due to its instantaneous real-time display of glucose level,"24/7"coverage,and the ability to characterize glycemic variability. According to the different detection methods,most of the continuous glucose monitoring technology could be divided into two kinds: subcutaneous implantation method and transdermal extraction method. This paper review s the recent development of minimally invasive blood glucose monitoring technology and instruments. The mainly remained challenges and related research directions are presented as well.

Preliminary prospective study of real-time post-gastrectomy glycemic fluctuations during dumping symptoms using continuous glucose monitoring

BACKGROUND Although dumping symptoms constitute the most common post-gastrectomy syndromes impairing patient quality of life,the causes,including blood sugar fluctuations,are difficult to elucidate due to limitations in examining dumping symptoms as they occur.AIM To investigate relationships between glucose fluctuations and the occurrence of dumping symptoms in patients undergoing gastrectomy for gastric cancer.METHODS Patients receiving distal gastrectomy with Billroth-I(DG-BI)or Roux-en-Y reconstruction(DG-RY)and total gastrectomy with RY(TG-RY)for gastric cancer(March 2018-January 2020)were prospectively enrolled.Interstitial tissue glycemic profiles were measured every 15 min,up to 14 d,by continuous glucose monitoring.Dumping episodes were recorded on 5 patient-selected days by diary.Within 3 h postprandially,dumping-associated glycemic changes were defined as a dumping profile,those without symptoms as a control profile.These profiles were compared.RESULTS Thirty patients were enrolled(10 DG-BI,10 DG-RY,10 TG-RY).The 47 early dumping profiles of DG-BI showed immediately sharp rises after a meal,which 47 control profiles did not(P<0.05).Curves of the 15 late dumping profiles of DG-BI were similar to those of early dumping profiles,with lower glycemic levels.DGRY and TG-RY late dumping profiles(7 and 13,respectively)showed rapid glycemic decreases from a high glycemic state postprandially to hypoglycemia,with a steeper drop in TG-RY than in DG-RY.CONCLUSION Postprandial glycemic changes suggest dumping symptoms after standard gastrectomy for gastric cancer.Furthermore,glycemic profiles during dumping may differ depending on reconstruction methods after gastrectomy.

Exenatide once weekly combined with metformin reduced glycemic variability in type 2 diabetes by using flash glucose monitoring system

BACKGROUND Multiple studies demonstrate that fluctuating blood glucose level produces greater damage compared with sustained hyperglycemia.Flash glucose monitoring system is an effective method in documenting blood glucose variability,contributing to better glucose management and reduced hypoglycemic event occurrence.AIM To investigate the improvement in glycemic variability(GV),blood glucose level,and metabolic indexes of patients with type 2 diabetes mellitus after combined treatment of exenatide once weekly(EXQW)and metformin.METHODS Twenty-five patients with type 2 diabetes mellitus suffering from poor blood glucose control under metformin treatment were recruited.The recruited patients were prescribed with oral metformin only(maintaining a dosage of metformin at≥1500 mg/day)for 2 wk(screening period),and then given EXQW(2 mg,subcutaneous injection)for 12 wk(experimental period).The flash glucose monitoring system was used to document blood glucose values during the screening period and the last 2 wk of the experimental period.RESULTS Four patients were excluded for various reasons,yielding a total of 21 patients,including 17 males and 4 females,with an average age of 48.8 years,who completed this study.The estimated glycated hemoglobin,mean blood glucose,fasting and postprandial blood glucose levels,and percentage of blood glucose above 7.8 mmol/L decreased compared to those at baseline(P=0.003,0.003,0.008,0.010,0.014,0.017,and 0.005,respectively),while the percentage of blood glucose between 3.9 and 7.8 mmol/L significantly increased(P=0.005).Parameters of GV including standard deviation of blood glucose,mean amplitude of glycemic excursions,mean of daily difference,area under the curve difference between percentiles 25 and 75,and area under the curve difference between percentiles 10 and 90 were significantly lower compared to that of baseline(P=0.017,0.006,0.000,0.024,0.036,respectively).The durations of blood glucose below 3.9 mmol/L during the day and nocturnal periods significantly increased after treatment(P=0.041 and 0.028,respectively),but there was no significant increase in severe hypoglycemia(<3.0 mmol/L)compared with that at baseline(P=0.207).In addition,some metabolic indicators improved after EXQW treatment.CONCLUSION EXQW combined with metformin can effectively improve blood glucose levels,reduce GV,and improve metabolic indicators.However,there is still a risk of nocturnal hypoglycemia,and careful attention should be paid to patients with EXQW treatment.

Investigation and Analysis on the Management Standard of Blood Glucose Monitoring for Clinical Nurses in Nyingchi Region of Tibet

Background: In participating in the medical support work in the Nyingchi area of Tibet, the author found that the medical education resources in this area are scarce, and the clinical nurses in this area have relatively insufficient knowledge about blood glucose monitoring and management. Accurately understanding the knowledge-attitude/belief-practice (KAP) level of nurses in Nyingchi area on blood glucose management is of great significance to the development of blood glucose monitoring management guidance for nurses in this area. Therefore, this study investigated the current status of the management of blood glucose monitoring management standards for clinical nurses in Nyingchi, Tibet. Objective: To investigate and analyze the current situation of clinical nurses in Nyingchi region of Tibet to grasp the regulation of blood glucose monitoring and guide the implementation of the norm of blood glucose monitoring for clinical nurses. Methods: The research survey was carried out from March to April 2020. Random sampling method was used to select 134 clinical in-service nurses in Nyingchii, Tibet. The self-designed knowledge-attitude/belief-practice survey questionnaire for clinical nurses’ blood glucose monitoring and management in Tibet was used. Nurses’ blood glucose monitoring management “KAP” scores and related influencing factors are analyzed. Results: Blood sugar monitoring and management knowledge score is (36.78 ± 6.80), attitude dimension is (42.48 ± 6.42), practice dimension is (61.87 ± 10.24) and total score is (304.73 ± 36.24). The nurse’s department and whether to participate in diabetes training are the main influencing factors of the blood glucose monitoring management norms, knowledge and behavior (both P < 0.05). Conclusion: The standard knowledge of blood glucose monitoring and management of clinical nurses in Nyingchi region of Tibet is at the middle level, positive attitude and unsatisfactory behavior. Nursing managers should conduct standardized training for clinical nurses in blood glucose monitoring, develop the training mode of diabetes specialty nursing talents in Nyingchi area, and construct a complete management system of diabetes specialty nursing.

The Impact of the FreeStyle LibreTM Flash Glucose Monitoring System on Glycemic Control in Patients with Diabetes;Observational Multicenter 15-Months Study

Objectives: The study was to determine the impact of using the FreeStyle LibreTM flash glucose monitoring system on glycemic control and the rate of events due to diabetes in people with diabetes from different types and age groups. Methods: a retrospective cohort chart review study was carried out at three centers in the Taif region in the Kingdom of Saudi Arabia: The study was approved by an accredited centralized institutional review board. Paper or electronic medical records were included for individuals of any age with diabetes (type 1, type 2, gestational diabetes) managed with diet, insulin therapy, or/and oral antihyperglycemic medication and/or non-insulin injection therapy. The primary outcome measure was the laboratory HbA1c level as well as reduction. Secondary outcome measures were frequency of severe hypoglycemia, admission to hospital or ER visit related to diabetes complications, and severe hyperglycemia (DKA or HHS). Results: Data was analyzed from 1695 patients. The average HbA1c before using the flash glucose monitoring system was 9.60% ± 1.44% and 3 months HbA1c after using the FreeStyle LibreTM flash glucose monitoring system was 8.70% + 1.45% for a difference of -0.90% ([95% CI -0.92: -0.88];p 65 years, (p-values Conclusion: The benefits of using the FreeStyle LibreTM flash glucose monitoring system are self-evident in reducing HbA1c and events due to hyperglycemia or hypoglycemia.

Pros and cons of continuous glucose monitoring in the intensive care unit

Diabetes mellitus affects people worldwide,and management of its acute complications or treatment-related adverse events is particularly important in critically ill patients.Previous reports have confirmed that hyperglycemia can increase the risk of mortality in patients cared in the intensive care unit(ICU).In addition,severe and multiple hypoglycemia increases the risk of mortality when using insulin or intensive antidiabetic therapy.The innovation of continuous glucose monitoring(CGM)may help to alert medical caregivers with regard to the development of hyperglycemia and hypoglycemia,which may decrease the potential complications in patients in the ICU.The major limitation of CGM is the measurement of interstitial glucose levels rather than real-time blood glucose levels;thus,there will be a delay in the treatment of hyperglycemia and hypoglycemia in patients.Recently,the European Union approved a state-of-art artificial intelligence directed loop system coordinated by CGM and a continuous insulin pump for diabetes control,which may provide a practical way to prevent acute adverse glycemic events related to antidiabetic therapy in critically ill patients.In this mini-review paper,we describe the application of CGM to patients in the ICU and summarize the pros and cons of CGM.

Differences in the system accuracy acceptability of four types of blood glucose monitoring systems against five different standards

Objective:This study aimed to evaluate the system accuracy of four types of blood glucose monitoring systems(BGMSs)and explore the differences in the system accuracy acceptability of each BGMS against five different standards.Methods:The glucose measurement values obtained from four types of BGMSs(Roche Accu-Chek® Performa,Bayer Contour™TS,Sinomedisite Glupad® H1 Plus,and SinocareR Gold-Accu)were evaluated against the reference values obtained from the biochemical analyzer of the central laboratory.The system accuracy acceptability of each BGMS was determined using the criteria specified in five standards,namely the International Organization for Standardization(ISO)15197:2003,Clinical Laboratory Standards Institute(CLSI)POCT12-A3,ISO 15197:2013,Chinese Society of Laboratory Medicine(CSLM)consensus,and US Food and Drug Administration(FDA)guidelines.Results:From 2018 to 2022,10,980 pairs of measurement values were obtained from 366 glucose meters of four types of BGMSs.Significant correlations were observed between the glucose measurement values from the BGMSs and the reference values from the biochemical analyzer of the central laboratory.The correlation coefficient r was 0.995 for Roche Accu-Chek® Performa,0.994 for Bayer Contour™TS,0.983 for Sinomedisite Glupad® H1 Plus,and 0.997 for SinocareR Gold-Accu.The acceptability criteria specified in ISO 15197:2003 were met by 100.00%(135/135)of the glucose meters of Roche Accu-Chek® Performa,100.00%(109/109)of Bayer Contour™TS,81.61%(71/87)of Sinomedisite Glupad® H1 Plus,and 100.00%(35/35)of SinocareR Gold-Accu.Whereas,the acceptability criteria specified in ISO 15197:2013 were met by 99.26%(134/135)of the glucose meters of Roche Accu-Chek® Performa,88.07%(96/109)of Bayer Contour™TS,58.62%(51/87)of Sinomedisite Glupad R H1 Plus,and 91.43%(32/35)of SinocareR Gold-Accu.Conclusions:Among the four types of BGMSs evaluated,the glucose meters of Roche Accu-Chek® Performa exhibited superior system accuracy.The system accuracy acceptability of each BGMS varied significantly against the acceptability criteria specified in the five different standards.

Accuracy of FreeStyle Libre flash glucose monitoring in patients with type 2 diabetes who migrated from highlands to plains

BACKGROUND The FreeStyle Libre flash glucose monitoring(FGM)system entered the Chinese market in 2017 to complement the self-monitoring of blood glucose.Due to its increased usage in clinics,the number of studies investigating its accuracy has increased.However,its accuracy has not been investigated in highland populations in China.AIM To evaluate measurements recorded using the FreeStyle Libre FGM system compared with capillary blood glucose measured using the enzyme electrode method in patients with type 2 diabetes(T2D)who had migrated within 3 mo from highlands to plains.METHODS Overall,68 patients with T2D,selected from those who had recently migrated from highlands to plains(within 3 mo),were hospitalized at the Department of Endocrinology from August to October 2017 and underwent continuous glucose monitoring(CGM)with the FreeStyle Libre FGM system for 14 d.Throughout the study period,fingertip capillary blood glucose was measured daily using the enzyme electrode method(Super GL,China),and blood glucose levels were read from the scanning probe during fasting and 2 h after all three meals.Moreover,the time interval between reading the data from the scanning probe and collecting fingertip capillary blood was controlled to<5 min.The accuracy of the FGM system was evaluated according to the CGM guidelines.Subsequently,the factors influencing the mean absolute relative difference(MARD)of this system were analyzed by a multiple linear regression method.RESULTS Pearson’s correlation analysis showed that the fingertip and scanned glucose levels were positively correlated(R=0.86,P=0.00).The aggregated MARD of scanned glucose was 14.28±13.40%.Parker's error analysis showed that 99.30%of the data pairs were located in areas A and B.According to the probe wear time of the FreeStyle Libre FGM system,MARD_(1 d) and MARD_(2-14 d) were 16.55%and 14.35%,respectively(t=1.23,P=0.22).Multiple stepwise regression analysis showed that MARD did not correlate with blood glucose when the largest amplitude of glycemic excursion(LAGE)was<5.80 mmol/L but negatively correlated with blood glucose when the LAGE was≥5.80 mmol/L.CONCLUSION The FreeStyle Libre FGM system has good accuracy in patients with T2D who had recently migrated from highlands to plains.This system might be ideal for avoiding the effects of high hematocrit on blood glucose monitoring in populations that recently migrated to plains.MARD is mainly influenced by glucose levels and fluctuations,and the accuracy of the system is higher when the blood glucose fluctuation is small.In case of higher blood glucose level fluctuations,deviation in the scanned glucose levels is the highest at extremely low blood glucose levels.

Decreasing complexity of glucose time series derived from continuous glucose monitoring is correlated with deteriorating glucose regulation

Most information used to evaluate diabetic statuses is collected at a special time-point,such as taking fasting plasma glucose test and providing a limited view of individual’s health and disease risk.As a new parameter for continuously evaluating personal clinical statuses,the newly developed technique“continuous glucose monitoring”(CGM)can characterize glucose dynamics.By calculating the complexity of glucose time series index(CGI)with refined composite multi-scale entropy analysis of the CGM data,the study showed for the first time that the complexity of glucose time series in subjects decreased gradually from normal glucose tolerance to impaired glucose regulation and then to type 2 diabetes(P for trend<0.01).Furthermore,CGI was significantly associated with various parameters such as insulin sensitivity/secretion(all P<0.01),and multiple linear stepwise regression showed that the disposition index,which reflectsβ-cell function after adjusting for insulin sensitivity,was the only independent factor correlated with CGI(P<0.01).Our findings indicate that the CGI derived from the CGM data may serve as a novel marker to evaluate glucose homeostasis.

Artificial intelligence biosensors for continuous glucose monitoring

Artificial intelligence(AI)algorithms in combination with continuous monitoring technologies have the potential to revolutionize chronic disease management.The recent innovations in both continuous glucose monitoring(CGM)and the closed-loop highlight the far-reaching potential of AI biosensors for individual healthcare.This review summarizes some of the most advanced progress made in CGM biosensing.We will focus on three main applications of AI algorithms in diabetes management:closed-loop control algorithms,glucose predictions,and calibrations.The challenges and opportunities of AI technologies for CGM in individualized and proactive medicine will also be discussed.

Anti-biofouling strategies for implantable biosensors of continuous glucose monitoring systems

Continuous glucose monitoring(CGM)systems play an increasingly vital role in the glycemic control of patients with diabetes mellitus.However,the immune responses triggered by the implantation of poorly biocompatible sensors have a significant impact on the accuracy and lifetime of CGM systems.In this review,research efforts over the past few years to mitigate the immune responses by enhancing the anti-biofouling ability of sensors are summarized.This review divided these works into active immune engaging strategy and passive immune escape strategy based on their respective mechanisms.In each strategy,the various biocompatible layers on the biosensor surface,such as drug-releasing membranes,hydrogels,hydrophilic membranes,anti-biofouling membranes based on zwitterionic polymers,and bio-mimicking membranes,are described in detail.This review,therefore,provides researchers working on implantable biosensors for CGM systems with vital information,which is likely to aid in the research and development of novel CGM systems with profound anti-biofouling properties.

Chinese clinical guideline for continuous glucose monitoring （2012）

Glucose monitoring is an important component in diabetes treatment and management. The results of blood glucose monitoring are useful for determining the degree of glucose metabolic disturbance, evaluating therapeutic outcomes, and guiding adjustments of treatment regimens.1 Self-monitoring of blood glucose （SMBG） still remains the most common form of in-home blood glucose monitoring with the glycosylated hemoglobin （HbAlc） as the ＂gold standard＂ for understanding the patients＇ average glucose over the last 3 months. However, both HbA1 c and SMBG have certain limitations： HbAlc represents the average blood glucose level over the previous 2-3 months;

Unsupervised calibration for noninvasive glucose-monitoring devices using mid-infrared spectroscopy

Noninvasive,glucose-monitoring technologies using infrared spectroscopy that have been studied typically require a calibration process that involves blood collection,which renders the methods somewhat invasive.We develop a truly noninvasive,glucose-monitoring technique using midinfrared spectroscopy that does not require blood collection for calibration by applying domain adaptation(DA)using deep neural networks to train a model that associates blood glucose concentration with mid-infrared spectral data without requiring a training dataset labeled with invasive blood sample measurements.For realizing DA,the distribution of unlabeled spectral data for calibration is considered through adversarial update during training networks for regression to blood glucose concentration.This calibration improved the correlation coeffcient between the true blood glucose concentrations and predicted blood glucose concentrations from 0.38 to 0.47.The result indicates that this calibration technique improves prediction accuracy for mid-infrared glucose measurements without any invasively acquired data.

Effect of temperature on noninvasive blood glucose monitoring in vivo using optical coherence tomography-corrigendum

The authors would like to apologize for some mistakes in the letter on Chinese Optics Letters vol. 12, no. 11, page 111701 and wish to make the corrections described below：

Self-monitoring of blood glucose in gestational diabetes mellitus patients during the COVID-19 pandemic in low- and middle-income countries

Self-monitoring of blood glucose(SMBG)is critical for gestational diabetes mellitus(GDM)care.However,there are several hurdles to its practice during the coronavirus disease 2019(COVID-19)pandemic in GDM patients in low-and middle-income countries when GDM care recommendations emphasize telemedicine-based care.Based on available knowledge,this letter proposes the following barriers to SMBG in these GDM patients during the ongoing COVID-19 pandemic:Poor internet connectivity,affordability of SMBG and digital applications to connect with healthcare providers,government-imposed social mobility restriction,psychological stress,and mental health conditions.Nevertheless,definitive evidence will only be acquired from rigorous research.