Blood Glucose Measurements Research Articles

Photonic blood glucose measurement with infrared quantum cascade lasers

AbstractDiabetes patients rely on frequent measurement of blood glucose that is presently performed by painful pricking and analysis of a drop of blood. Diamontech has developed a noninvasive technique that targets a prominent mid‐infrared signature of glucose. This technique uses quantum cascade lasers and photothermal detection. Clinical validation has proven an accuracy similar to current invasive techniques.

Effects of Vildagliptin, a Dipeptidyl Peptidase-4 Inhibitor, on the Parameters of Glucose Metabolism and the Cardio-Ankle Vascular Index in Individuals with Type 2 Diabetes.

DPP-4 inhibitors are frequently used as first-line agents for the treatment of type 2 diabetes in Japan. This study aimed to examine the effects of vildagliptin on glucose metabolism and arterial stiffness. Twenty treatment-naïve patients with type 2 diabetes (8 males and 12 females) received vildagliptin 50 mg twice daily for 6 months. Self-monitored blood glucose measurements and a 75 g OGTT were performed. Arterial stiffness was assessed using the CAVI. After the vildagliptin treatment, a significant decrease in the median HbA1c (from 8.3 to 6.4%) and fasting HOMA-β (from 26.1 to 34.5%), and a marginally significant decrease in the CAVI (from 8.9 to 8.4, p = 0.087) were observed. The glycemic variability parameters also improved, whereas the insulin sensitivity and oxidative stress remained unchanged. Participants with a lower glycemic variability on the 75 g OGTT after vildagliptin treatment showed a significant decrease in their CAVI. The baseline BMI was significantly higher for the participants with a decreased CAVI than in those with no change in their CAVI (24.5 vs. 20.8 kg/m2). After vildagliptin treatment, a decrease in the CAVI was observed, especially in the individuals with improved glycemic variability on the 75 g OGTT. Vildagliptin may be suitable for vascular protection in individuals with high glycemic variability and/or an elevated BMI.

Reliability and accuracy of bedside capillary blood glucose measurement by glucometers compared to venous blood glucose in critically ill patients: A facility based cross-sectional study

BackgroundThe traditional reference standard, venous blood glucose requires venipuncture and laboratories usually return the test results after 60 minutes. Our aim was to determine the agreement accuracy of glucose (capillary) levels obtained by POC glucometers with glucose (venous) values by standard laboratory method (glucose-oxidase) and to assess whether and to what extent the glucometers perform uniformly well across the entire range of blood glucose values. MethodsWe compared the diagnostic accuracy of two- point of care glucometers with laboratory venous glucose, the reference standard using Bland- Altman plots and Clark error grid method to analyse the results. ResultsThis study included a total of 110 patients (38[34%] women; mean age 52.1 years (SD, 17.3); range 14 to 85 years. Fourteen patients (12%) were known to have diabetes. The mean glucose value (glucometer 1) was 152.9 mg/dL (SD 83.1); range= 48 to 501 mg/dL; that by glucometer 2 was 152.2 mg/dL (SD 76.2); range= 30 to 458 mg/dL and by the laboratory was 148.6 mg/dL (SD 81.5); range= 52 to 480 mg/dL. Of the 110 subjects, 2(2%) had blood glucose below 70 mg/dL; 85(77%) between 70 and 180 mg/ dL and 23(21%) had blood glucose exceeding 180 mg/dL. The Bland- Altman plot showed a bias of 4 mg% (95%CI -9.8 to +1.1); and the limits of agreement were -63 and +54 mg%. The area under the receiver operating characteristic curve for the two glucometers was 0.92 and 0.93 respectively. ConclusionsPoint of care glucose, measured by glucometers was in agreement with the venous glucose estimation. Both glucometers were equally accurate and performed uniformly well across the wide range of blood glucose values.

Effect of Alchornea cordifolia on Glycemic Indices of Varieties of Fufu Among Healthy Subjects

BackgroundGlycemic index (GI) is a measure of the ability of carbohydrate food to raise blood glucose concentration. The GI of a food and its negative effects has caused an adverse increase in the prevalence of diabetes and other metabolic diseases. ObjectiveThis study aimed to determine the effect of Alchornea cordifolia on glycemic indices of varieties of fufu. MethodsThe research was a crossover experimental study involving 10 healthy individuals. A 50-g measure of pure glucose was served on 2 separate occasions and, subsequently, a measured amount of the test foods containing 50 g of available carbohydrates. The GI values were determined by the measure of the blood glucose concentrations of the subjects at fasting and after ingestion of the glucose and the test foods (fufu) within 2 h. Collection of capillary blood for blood glucose measurement started 30 min after consumption and was subsequently taken at 60, 90, and 120 min for both noncomposited and composited fufu GI determination. The phytoconstituents of the A. cordifolia were also determined. ResultsFor the noncomposited fufu, plantain fufu had the least glycemic response (46%), followed by cassava fufu (50%) and cassava–plantain fufu (53%); however, all were in the low-GI category. For the composited fufu, plantain fufu had the least response (12%), followed by cassava–plantain fufu (14%) and cassava fufu (14%), with all in the low-GI category. A multiple comparison of GI on the various foods by analysis of variance revealed a significant difference between the GI of cassava–plantain fufu and composite cassava–plantain fufu (P = 0.001); cassava fufu and composite cassava fufu (P = 0.004); and plantain fufu and composite plantain fufu (P = 0.006). The phytochemical screening of the A. cordifolia revealed the presence of flavonoids and tannins. ConclusionsComposited A. cordifolia fufu affects the glycemic response.

A novel few shot learning derived architecture for long-term HbA1c prediction

Regular monitoring of glycated hemoglobin (HbA1c) levels is important for the proper management of diabetes. Studies demonstrated that lower levels of HbA1c play an essential role in reducing or delaying microvascular difficulties that arise from diabetes. In addition, there is an association between elevated HbA1c levels and the development of diabetes-related comorbidities. The advanced prediction of HbA1c enables patients and physicians to make changes to treatment plans and lifestyle to avoid elevated HbA1c levels, which can consequently lead to irreversible health complications. Despite the impact of such prediction capabilities, no work in the literature or industry has investigated the futuristic prediction of HbA1c using current blood glucose (BG) measurements. For the first time in the literature, this work proposes a novel FSL-derived algorithm for the long-term prediction of clinical HbA1c measures. More importantly, the study specifically targeted the pediatric Type-1 diabetic population, as an early prediction of elevated HbA1c levels could help avert severe life-threatening complications in these young children. Short-term CGM time-series data are processed using both novel image transformation approaches, as well as using conventional signal processing methods. The derived images are then fed into a convolutional neural network (CNN) adapted from a few-shot learning (FSL) model for feature extraction, and all the derived features are fused together. A novel normalized FSL-distance (FSLD) metric is proposed for accurately separating the features of different HbA1c levels. Finally, a K-nearest neighbor (KNN) model with majority voting is implemented for the final classification task. The proposed FSL-derived algorithm provides a prediction accuracy of 93.2%.

Be mindful of the blood glucose measurement: The relevance of blood glucose in the eye emergency department

Aims/Purpose: Diabetic eye disease is a leading cause of blindness worldwide and diabetes‐related eye conditions are frequent presentations in Eye Emergency Departments (EEDs). Early detection and intervention of inadequate blood glucose control in the EED could be sight‐saving.The aims of this study are to determine the: prevalence of pre‐existing diabetes mellitus (DM) in the EED. prevalence of suboptimal (HbA1c 53–70 mmol/mol) or poor (HbA1c >70 mmol/mol) glycaemic control in the EED. proportion of diabetes patients with this diagnosis documented in the EED. proportion of EED patients at risk of undiagnosed diabetes. number of EED patients that had a capillary blood glucose measurement (BgM). Methods: A retrospective review of 683 patients attending the EED over 10 consecutive weekdays at Manchester Royal Eye Hospital, Manchester, United Kingdom. The following parameters were assessed: EED documentation: patient age, gender, presentation, diagnosis, management plan and whether a BgM was done. General Practitioner records: diabetes diagnosis cross‐referenced with EED documentation. If diabetes patients: diabetes type, duration, and glycaemic control. Potentially undiagnosed diabetes. Results: The prevalence of diabetes patients was 9.5%–64.6% of these patients had diabetes documented in EED and 1 had a capillary BgM. 70.7% of diabetes patients had pre‐existing suboptimal [33.8%] or poor [36.9%] glycaemic control. 8.5% of patients were considered high‐risk for undiagnosed diabetes of which 1 had a BgM.Conclusions: There is a high prevalence of diabetes patients in the EED, and most have inadequate glycaemic control. This makes the EED an important setting to detect patients at high risk of diabetes‐related ocular disease and complications. BgM testing for all suspected patients is a quick test to allow earlier detection and intervention of inadequately controlled diabetes and reduce the risk of diabetes‐related vision loss.

Andaliman (Zanthoxylum acanthopodium DC.) fruit ethanolic extract exerts attenuative effect on hyperglycemia, sensory and motoric function's disorders in alloxan-induced diabetic mice.

Andaliman (Zanthoxylum acanthopodium) is a potent medicinal plant in Asia. This present study aimed to reveal the effectivity of Andaliman fruit extract in alleviating hyperglycemia, sensory and motoric balance disorders, histopathology of the cerebellum, and tissue oxidative stress in diabetic mice induced by alloxan. Diabetes induction was performed by intraperitoneally injecting alloxan monohydrate [200 mg/kg body weight (BW)]. Subsequently, the mice were treated daily with an ethanolic extract of Andaliman fruit (0, 150, 300, 450 mg/kg BW per oral) for 28 days, followed by measurements of blood glucose, paw sensitivity, motoric balance, histopathology of the cerebellum, and malondialdehyde (MDA) levels. Moreover, the phytochemical constituents of the extract were elucidated by liquid chromatography. Higher doses of Andaliman fruit extract could significantly attenuate the elevation of random and fasting blood glucose (p < 0.05) and improve paw sensitivity responses (p < 0.05) and motoric balances (p < 0.05) in diabetic mice. Moreover, Andaliman fruit extract could significantly attenuate the degeneration of cerebellar Purkinje cells (p < 0.05) and suppress MDA levels in the blood (p < 0.05) while blunting the MDA in the brain tissue (p < 0.05). Phytochemical screening revealed 39 compounds in the Andaliman extract belonging to the groups of alkaloids (26 compounds), flavonoids (12 compounds), and terpenoids (1 compound). The ethanolic extract of Andaliman fruit is capable of ameliorating diabetic neuropathy, motor balance disorders, and Purkinje cell degeneration while also reducing oxidative stress in the peripheral system. Hence, Andaliman extract is a promising candidate for formulation as an herbal remedy against the detrimental outcomes of diabetes mellitus.

Uso dos serviços de saúde por pessoas idosas em áreas rurais e urbanas do Brasil

Abstract Objective To assess health services utilization by older adults in urban and rural areas of Brazil. Method A cross-sectional study was conducted analyzing data from the 2019 National Health Survey on older adults (≥60 years) selected from households based on 22,728 interviews (3,300 in rural and 19,426 in urban areas). For rural and urban areas, the prevalence of Family Health Strategy enrolment, time since last medical and dental visit, service use in past 2 weeks, and last blood pressure and blood glucose measurements were estimated. Also, the factors associated with medical and dental health services utilization in the past 12 months were explored. Results Self-rated health of “Very good” or “Good” was greater in urban areas (47.32%), as was the proportion of older adults reporting a medical or dental visit within the last 12 months (90.54%). Rates of blood pressure (81.30%) and glucose (45.83%) monitoring were lower in rural areas. Older individuals that had low education, resided in rural areas, and the North region, had a lower likelihood of using health services Conclusion The older population living in rural areas had poorer health status compared with the urban population.

Songbirds avoid the oxidative stress costs of high blood glucose levels: a comparative study.

Chronically high blood glucose levels (hyperglycaemia) can compromise healthy ageing and lifespan at the individual level. Elevated oxidative stress can play a central role in hyperglycaemia-induced pathologies. Nevertheless, the lifespan of birds shows no species-level association with blood glucose. This suggests that the potential pathologies of high blood glucose levels can be avoided by adaptations in oxidative physiology at the macroevolutionary scale. However, this hypothesis remains unexplored. Here, we examined this hypothesis using comparative analyses controlled for phylogeny, allometry and fecundity based on data from 51 songbird species (681 individuals with blood glucose data and 1021 individuals with oxidative state data). We measured blood glucose at baseline and after stress stimulus and computed glucose stress reactivity as the magnitude of change between the two time points. We also measured three parameters of non-enzymatic antioxidants (uric acid, total antioxidants and glutathione) and a marker of oxidative lipid damage (malondialdehyde). We found no clear evidence for blood glucose concentration being correlated with either antioxidant or lipid damage levels at the macroevolutionary scale, as opposed to the hypothesis postulating that high blood glucose levels entail oxidative costs. The only exception was the moderate evidence for species with a stronger stress-induced increase in blood glucose concentration evolving moderately lower investment into antioxidant defence (uric acid and glutathione). Neither baseline nor stress-induced glucose levels were associated with oxidative physiology. Our findings support the hypothesis that birds evolved adaptations preventing the (glyc)oxidative costs of high blood glucose observed at the within-species level. Such adaptations may explain the decoupled evolution of glycaemia and lifespan in birds and possibly the paradoxical combination of long lifespan and high blood glucose levels relative to mammals.

A comparative study: Probiotics number in fermented bitter melon (Momordica charantia) juice decreased blood sugar and lipid profiles

ABSTRACT Purposes - Momordica charantia (MC) contains triterpenes, proteins, and steroids with anti-diabetic and antioxidative properties. Developing type 2 diabetes (T2DM) in prediabetes can be reduced by probiotics consumption. The pathogenesis and progression of diabetes are induced by oxidative stress and followed by elevated triglyceride and cholesterol levels. This study aimed to evaluate blood sugar levels and lipid profiles before and after treatment. Experimental procedure - A total of 24 male Sprague-Dawley rats were induced by a single dose (60 mg/kg) of streptozotocin (STZ) and 120 mg/kg of nicotinamide. Following three days of induction, the rats were randomly divided into four groups and administered 10 ml/kg BW extract for 28 days. DM-MC was treated with MC extract. DM-FMC1 and DM-FMC2 were treated with fermented MC containing 3.7x107 CFU/ml and 3.7x1014 CFU/ml probiotics, respectively. DM-Ctrl was given distilled water. Blood glucose and lipid profile measurements were taken before and after treatment. The data was analyzed using a paired t-test, ANOVA and Tukey HSD for post hoc analysis. The level of significance was set at 0.05. Findings – The groups treated with FMC2 significantly showed a decreased blood sugar level compared to MC and FMC1 (p&lt;0.001), 89.4+3.94, 164.3+2.26, and 109.1+2.07, respectively. Lipid profiles showed the same pattern (p&lt;0.001). Fermented MC substantially decreases blood glucose and lipid profile compared to the MC group (p&lt;0.001). Originality/value - In type 2 diabetes, reducing blood sugar levels and improving lipid profiles are significantly impacted by the presence and number of probiotics.

Accuracy of a Non-Invasive Home Glucose Monitor for Measurement of Blood Glucose.

Patients with diabetes mellitus monitor their blood glucose at home with monitors that require a drop of blood or use a continuous glucose monitoring device that implants a small needle in the body. However, both cause discomfort to the patients which may inhibit them for regular blood glucose checks. Photoplethysmogram (PPG) sensing technology is an approach for non-invasive blood glucose measurement and PPG sensors can be used to predict hypoglycaemic episodes. InChcek is a PPG-based non-invasive glucose monitor. However, its accuracy has not been checked yet. Hence, this study aimed to evaluate the accuracy of InCheck, a non-invasive glucose monitor for the estimation of blood glucose. In a tertiary care hospital, patients who came for blood glucose estimation were tested for blood glucose non-invasively on the InCheck device and then by the laboratory method (glucose oxidase-peroxidase). These two readings were compared. We used International Organization for Standardization (ISO) 15197:2013 (95% of values should be within ± 15 mg/dL of reference reading if reference glucose <100 mg/dL or within ± 15% of reference reading if reference glucose ≥100 mg/dL and 99% of the values should be within zones A and B in consensus error grid), and Surveillance Error Grid for analyzing the accuracy. A total of 1223 samples were analyzed. There was a significant difference between the reference method glucose level (135 [Q1-Q3: 97 - 179] mg/dL) and monitor-measured glucose level (188.33 [Q1-Q3: 167.33-209.33] mg/dL) (P < 0.0001). A total of 18.5% of readings were following ISO 15197:2013 criteria and 67.25% of coordinates were within zone A and zone B of the consensus error grid. In the surveillance error grid analysis, about 29.4% of values were in the no-risk zone, 51.8% in slight risk, 18.6% in moderate risk, and 0.2% were in the severe risk zone. The accuracy of the InCheck device for the estimation of blood glucose by PPG signal is not following the recommended guidelines. Hence, further research is necessary for programming or redesigning the hardware and software for a better result from this optical sensor-based non-invasive home glucose monitor.

Evaluation of Patient-facing Health Application Features to Support Self-management of People Living with Prediabetes or Type 2 Diabetes Mellitus – A Health-care Professional Perspective

Abstract Background: Diabetes mellitus (DM) remains a significant chronic disease worldwide. Effective self-management is essential for optimal glycemic control and preventing long-term complications in people with DM (PWD). In recent years, e-health applications have emerged to support the self-management of individuals with type 2 DM (T2DM) in particular regarding the evaluation of blood glucose (BG) levels. However, numerous challenges still exist. Aims and Objectives: This questionnaire-based study aimed to understand the knowledge, attitude, and practice regarding a novel e-health application to monitor BG levels using a smartphone camera that is designed for individuals with prediabetes or T2DM in low- and middle-income countries. Materials and Methods: An open-ended questionnaire guide was used to investigate the PWD’s needs from a health-care professional’s (HCP) perspective and the challenges that could be addressed by new features of the health application. Responses were graded on a 5-point ordinal scale and evaluated to identify advantages, disadvantages, and suggestions to improve the proposed features. Results: The HCPs highlighted the application’s simplicity and convenience of use, the mobile device-based measurement of BG ranges, the step-by-step guided features, and lifestyle advice. They suggested improvements such as a one-step handling approach and quantitative versus qualitative BG level assessment. Conclusion: It is expected that younger and technologically proficient individuals with T2DM will benefit the most from this application. However, further research is necessary to assess how the proposed features affect individuals’ empowerment in managing diabetes and the distress associated with the burden of self-management.

Glycemic variability after mechanical thrombectomy for anterior circulation acute ischemic stroke.

Morbidity remains high among patients who undergo successful mechanical thrombectomy (MT) for anterior circulation large vessel occlusion (LVO). Stress hyperglycemia worsens the prognosis after acute ischemic stroke (AIS), but aggressively treating hyperglycemia does not improve the outcome. There is no consensus on how to best manage glycemia after AIS. Glycemic variability (GV) reflects glycemic fluctuations over time and could be the culprit. We aimed to elucidate how GV impacts outcome of AIS patients treated with MT. This was a single-center retrospective study. We consecutively included AIS patients who received MT for anterior circulation LVO. We recorded discrete blood glucose measurements within the first 24 hours post thrombectomy, from which we calculated two measures of GV: standard deviation (SD) and coefficient of variation. Univariate and multivariate analyses were conducted to identify predictors of poor functional outcome (modified Ranking scale score 3-6) and mortality at 3-month follow-up. We included 657 patients. Patients with poor functional outcome (42.5%) and patients that died (14.8%) had significantly higher GV as measured by SD. In a multivariable model adjusted for confounders, higher SD was associated with mortality -adjusted odds ratio: 1.020 (95% CI 1.001-1.040)- but not with functional outcome -adjusted odds ratio for modified Ranking scale score 3-6: 1.007 (95% CI 0.990-1.025)-. Our results suggest that higher GV after MT for anterior circulation AIS is an independent risk factor for 3-month mortality. Future trials should evaluate the benefit of reducing GV in this setting.

Enhanced blood glucose levels prediction with a smartwatch.

Ensuring stable blood glucose (BG) levels within the norm is crucial for potential long-term health complications prevention when managing a chronic disease like Type 1 diabetes (T1D), as well as body weight. Therefore, accurately forecasting blood sugar levels holds significant importance for clinicians and specific users, such as type one diabetic patients. In recent years, Continuous Glucose Monitoring (CGM) devices have been developed and are now in use. However, the ability to forecast future blood glucose values is essential for better management. Previous studies proposed the use of food intake documentation in order to enhance the forecasting accuracy. Unfortunately, these methods require the participants to manually record their daily activities such as food intake, drink and exercise, which creates somewhat inaccurate data, and is hard to maintain along time. To reduce the burden on participants and improve the accuracy of BG level predictions, as well as optimize training and prediction times, this study proposes a framework that continuously tracks participants' movements using a smartwatch. The framework analyzes sensor data and allows users to document their activities. We developed a model incorporating BG data, smartwatch sensor data, and user-documented activities. This model was applied to a dataset we collected from a dozen participants. Our study's results indicate that documented activities did not enhance BG level predictions. However, using smartwatch sensors, such as heart rate and step detector data, in addition to blood glucose measurements from the last sixty minutes, significantly improved the predictions.

Nonlinear MPC for Insulin Titratio2shn of Type 2 Diabetes

This paper explores the development and application of both linear and nonlinear model predictive control (MPC) strategies for insulin titration in type 2 diabetes (T2D) subjects. By utilizing daily blood glucose measurements, alongside information on insulin injections and meal intake from the previous day, we adjust the insulin sensitivity parameter of the internal model of the controller. This adjustment is based on the steady-state glucose error between the internal model and the plant model. The performance of these strategies was assessed using a high-fidelity T2D model, demonstrating their potential in enhancing the management of T2D.

Comparison of Methods and Verification of Some Performance Characteristics of Accu-Chek® Instant Glucose Meter

Introduction: Frequent and accurate blood glucose measurements and control can delay the onset of diabetic complications. This is facilitated by the use of point-of-care glucose meters (POCGM). There is a need to verify some claims made by manufacturers of POCGM with regard to accuracy, precision and linearity. We compared blood glucose results obtained from Accu-Check Instant blood glucose meters with laboratory results as reference in order to verify some of these claims. Method: This prospective analytical study involved the verification of some characteristics of Accu-Chek Instant POCGM using different concentrations of glucose calibrators prepared in-house. Blood was obtained from volunteers who had no need for an overnight fast. It was tested using Accu-Chek Instant POCGM and routine laboratory glucose oxidase method as reference and compared using the Bland-Altman plot. Statistical significance was set at p&lt;0.05 Results: There were188 blood samples tested using the two methods. The difference between the means of glucose values from the two methods was 10.3 mg/dL (12.8%) with Accu-Chek POCGM returning higher results than the routine laboratory method. The difference was not statistically significant using the Bland-Altman plot (p=0.60). The analytical range of the POCGM was determined to be between 20mg/dl to 300 mg/dL. Results indicating ‘Hi’ on the POCGM were below 600 mg/dL contrary to what was claimed by the manufacturer. Conclusions and Implications: There was some level of agreement between the two methods studied. Results obtained at high glycaemic states may be more precise but are lower than central laboratory values.

PPG based Noninvasive Blood Glucose Monitoring using Multi-view Attention and Cascaded BiLSTM Hierarchical Feature Fusion Approach.

Diabetes is a chronic disease with exponential growth and poses significant challenges to global healthcare. Regular blood glucose (BG) monitoring is key for avoiding diabetic complications. Traditional BG measurement techniques are invasive and minimally invasive, causing pain, discomfort, cost, and infection risks. To address these issues, we developed a noninvasive BG monitoring approach on photoplethysmography (PPG) signals using multi-view attention and cascaded BiLSTM hierarchical feature fusion approach. Firstly, we implemented a convolutional multi-view attention block to extract the temporal features through adaptive contextual information aggregation. Secondly, we built a cascaded BiLSTM network to efficiently extract the fine-grained features through bidirectional learning. Finally, we developed a hierarchical feature fusion with bilinear polling through cross-layer interaction to obtain higher-order features for BG monitoring. For validation, we conducted comprehensive experimentation on up to 6 days of PPG and BG data from 21 participants. The proposed approach showed competitive results compared to existing approaches by RMSE of 1.67 mmol/L and MARD of 17.88%. Additionally, the clinical accuracy using Clarke error grid (CEG) analysis showed 98.80% of BG values in Zone A+B. Therefore, the proposed approach offers a favorable solution in diabetes management by noninvasively monitoring the BG levels.

Prevalence and correlates of diabetes and impaired fasting glucose among adults in Afghanistan: Insights from a national survey.

Afghanistan is experiencing an escalating burden of noncommunicable diseases, with diabetes and impaired fasting glucose being of particular concern. To explore the prevalence of diabetes and impaired fasting glucose and associated factors among adult Afghans. This cross-sectional study used secondary data from a nationally representative survey, conducted in 2018 in Afghanistan. A blood sample was collected from the fingertip and tested through a strip to measure blood glucose. The complex sampling design and sampling weights were accounted for in all analyses to produce representative estimates of the target population in Afghanistan. Of 3890 Afghan adults aged 18-69 years who participated in this survey, 11.07% and 10.32% had diabetes and impaired fasting glucose, respectively. For overweight individuals with abdominal obesity, the risk for diabetes became significantly elevated, with an adjusted relative risk ratio of 2.12 (95% CI: 1.10-4.09). However, the most pronounced effect was observed among individuals classified as having obesity with abdominal obesity with an adjusted relative risk ratio of 2.54 (95% CI: 1.37-4.70). Moreover, high cholesterol level was significantly associated with both impaired fasting glucose (ARRR: 2.52, 95% CI: 1.55-4.12) and diabetes (ARRR: 4.12, 95% CI: 2.59-6.56), whereas high blood pressure was significantly associated with only diabetes (ARRR: 1.82, 95% CI: 1.16-2.86). This investigation provides critical insight into the prevalence of diabetes and IFG among Afghan adults aged 18-69 years. Relative to the global average, the higher prevalence observed calls for specifically designed interventions targeting individuals with cardiometabolic risk factors, such as elevated body mass index, abdominal obesity, hypertension, and hypercholesterolemia.

Evaluation of the appropriateness of using a continuous glucose monitoring system and a point-of-care glucometer for measuring blood glucose in horses

Evaluation of the appropriateness of using a continuous glucose monitoring system and a point-of-care glucometer for measuring blood glucose in horses

Optical methods of noninvasive glucose measurement

In recent decades, the need to develop non-invasive methods for measuring blood glucose levels to facilitate continuous monitoring of this indicator has increased significantly. This is due to a large increase in the incidence of diabetes worldwide. However, there are many problems associated with non-invasive glucose monitoring that contribute to inaccurate results. This article discusses and classifies non-invasive methods for measuring glucose based on its properties over the past 20 years. The main focus is on the relevant physiological aspects, existing problems, and recent advances that have made it possible to obtain acceptable clinical accuracy.