2. Sensors to detect milk adulteration

According to a recent research published in the Food Analytical Methods Journal, IIT Hyderabad has developed a sensor-chip based detector system to detect adulteration in milk. This helps to measure the pH levels of milk through an indicator paper that changes color due to acidity of the milk. Currently,methods like chromatography and spectroscopy are used to detect milk adulteration, which are quite expensive, so the researchers at IIT used a relatively cost-effective process called ‘electro spinning’ to produce halochromic paper-like material made of nano- sized nylon fibres and load edit with a combination of three dyes.

They have also developed algorithms that can be incorporated on the mobile phones to accurately detect the color change. The algorithm captured the colors of the sensor strips after dipping in milk using the mobile phone camera and the data was then transformed into pH ranges. On testing with milk spiked with various combinations of contaminants, they found near-perfect classification with accuracy of 99.71%.

In order to get comprehensive milk quality check systems that can be incorporated in mobile phones or any other hand aids the team now aims to study the effects of mobile phone cameras and lighting on detection efficiency and hopes to develop sensors for other physical properties like conductivity and refractive index and integrate them with the pH detection unit.

SOURCE: www.timesnownews.com

3. TestCard: A card sized urine test at home

The UK-based Med Tech Startup Test Card has created a postcard- sized urine test that can be done at home and is very much similar to a pregnancy test, which is analyzed by an accompanying app to provide immediate results.The postcard has an embedded, pull-out urine test. The urine test has no electronic component involved in its usage. The postcard test is likely to be launched in the UK in April 2019. In the near future, TestCard also plans to screen diabetes products in India.

4. IOTA Bioscience creates body sensor smaller than sand grain

An American biotechnology Startup, Iota Biosciences founded in 2017 by Carmena and Michel Maharbiz has recently raised 15 million dollars for its in body sensor which is smaller than sand grain.

The University of California in a micro electrode research developed the sensors called ‘neural dust’ which then transfers the data wirelessly from inside the body.The Co-CEOs hold exclusive rights to neural dust technology which offers revolutionary therapeutic applications for various chronic health conditions from inflammation to motor disorders and eventually cognitive impairment.

The advantage of this small-sized sensor is that it uses ultrasound avoiding any danger that is associated with wire and battery-provided implants. Since they are smaller and can be implanted deeper into the human body than traditional ones available, neural dust can interfere directly with specific nerve clusters allowing more precise diagnostics and treatments. Iota’s devices can concurrently record information and stimulate nerves giving near instantaneous closed-loop therapies that could better treat diseases from the inside out.

SOURCE: TimesNow

5. Wand… Pacemaker for the brain

Scientists at University of California have created a wireless device called ‘WAND’ which works like a pacemaker for the brain and may aid in the treatment of disorders like epilepsy and Parkinson’s disease. Wand is a neuro stimulator that can monitor and stimulate the brain with electric current. This device is autonomous and can simultaneously stimulate and record electrical signals in the brain.

About the author

Dr. Avantika Batish, working as the Director Strategy and Healthcare at International Health Emergency Learning and Preparedness. She is also a guest faculty for MBA (HR) and MBA Healthcare Management at various B-Schools and is a soft skills trainer.

Top 3 Latest Healthcare Innovations for the month of May

Glucose Monitoring has been around as a valuable tool since many years. However in spite of many advances, there have been important shortcomings of the current tools we have. The HbA1c is a highly validated and researched tool however, it only provides an 90 day retrospective average of a patients glucose and gives no major in-depth analysis of their glucose profile. One can use the self-monitoring tools and lab test to obtain their glucose profile but testing strip costs and finger stick blood pricks and pain limits their usability in patients. It is widely known that continuous glucose monitoring systems (CGMS) provide the best data for analysis, but its duration is too short or too cumbersome and costly for use in routine practice. In this regards the new tool, FreeStyle Libre Pro and its software reports that provide the Ambulatory Glucose Profile (AGP) is easy to use, and provides the complete glucose profile of a patient so that a doctor can make informed treatment decisions. It is an exciting time for Diabetes, with many new innovations in the pipeline that can ease the hurdles associated with proper monitoring.

Introduction

Monitoring glucose values at specified time intervals, based on need is a prerequisite to ensure success atany stage or type of diabetes.There is sufficient evidence to support the fact that increased frequency of blood glucose monitoring, significantly improves glycemic control, which invariably translates to a reduction in the micro and macrovascular complications of diabetes.

Though glucometers became popular way back in 1980s, this technology has not been widely accepted in India so far; the major limitation being the cost involved in the procurement of glucometer and strips and the concerns on inaccuracy of glucometer compared to laboratory values. Even among those who are willing and affordable to follow self-monitoring of blood glucose instructions, forgetfulness and laziness prevents them from regular monitoring. Ambulatory glucose profile (AGP) with flash monitoring systems is an innovation to overcome the hurdle.

The term, “AGP” dates back to 1987 when the data from glucometers obtained over a period of 14 days were collapsed into a graphical depiction. Though the concept failed initially, AGP from self-monitored blood glucose (SMBG) data later evolved into techniques for measuring amplitude and frequency of change in the glycemic levels. Currently, the term AGP is popular for the collated 14 day graphical pattern generated from the revolutionary Abbott FreeStyle flash glucose monitoring system.

History and Evolution of Home Blood Glucose Meters

The history of glucose monitoring can be traced to mediaeval times where attempts were made to identify various diseases by examining urine samples. Stanley Benedict devised an improved copper reagent for urine sugar in 1908 and this became, with modifications, the mainstay of urine monitoring of diabetes for over 50 years[1].

Continued research at the Miles-Ames Laboratory was destined to be a key element in the history of blood glucose meters. The quest for a more convenient and specific method culminated in a ‘dip and read’ urine reagent strip, Clinistix, in 1957[2]. In 1965, an Ames research team under Ernie Adams went on to develop the first blood glucose test strip, the Dextrostix, a paper reagent strip which used the glucose oxidase/peroxidase reaction[3].Around the same time, the German company Boehringer Mannheim developed a competitive blood glucose strip, the Chemstrip bG. Limitations of these strips became the triggering factor to develop an automatic, electronic glucose test strip reader to improve precision and give more quantitative blood glucose results[4].

This paved way for the development of Ames Reflectance Meter (ARM; Figure 1) by Anton H.Clemens to produce quantitative blood glucose results with Dextrostix in the late 1960s, and the first model became available in 1970[5,6]. He used reflected light from the surface of the solid strip, which was captured by a photoelectric cell to produce a signal equivalent to blood glucose. The first reported patient to use blood glucose meter was Richard Bernstein, who suffered from type 1 diabetes and had episodes of hypoglycaemia resulting in hospitalisation.

Figure 1. Ames Reflectance Glucometer

A major advancement came with the introduction of the Lifescan (Johnson & Johnson) OneTouch II in 1992, a reflectance blood glucose system that eliminated the need to time accurately the application of blood to the test strip and its removal prior to the measurement of the colour[7]. The number of smaller, handheld glucometers continued to increase and Bayer, Abbott and Roche purchased pioneer companies Ames, MediSense and Boehringer Mannheim, respectively, between 1995 and 1998.

Blood glucose monitoring was regarded as an integral part of intensive diabetes treatment and management after completion of both major diabetes studies, the UK Prospective Diabetes Study (UKPDS)[8] and the Diabetes Control and Complications Trial (DCCT)[9] and American Diabetes Association (ADA) lowered the target variation to 5% between meters and the laboratory method leading to acceptance of SMBG as an integral part of self-management of patients with diabetes[10,11].

Different types of glucometers are currently available in the Indian market. Newer models are more advanced in technology, providing better features yet come in lighter weight, smaller size and at more affordable prices.

There are three principle enzymatic reactions utilised by current glucometers: glucose oxidase, glucose dehydrogenase, and hexokinase[12]. More complex meters have features to aid in identifying trends and to graph reports for more comprehensive data tracking, particularly for patients who test several times a day.

Use in Type 1 diabetes & Type 2 Diabetes

Since the introduction of glucose meters in the 1980s, SMBG has become the cornerstone of management in type 1 diabetes. Home blood glucose monitoring is associated with improved glycemic control in patients with type 1 diabetes[13]. A database study of almost 27,000 children and adolescents with type 1 diabetes showed that, after adjustment for multiple confounders, increased daily frequency of SMBG was significantly associated with lower glycated haemoglobin (HbA1c) levels (20.2% per additional test per day, levelling off at five tests per day) and with fewer acute complications[14]. Evidence suggest that a strict glycemic control reduces the risk of microvascular and macrovascular complications and in the UKPDS Study, each 1% reduction in HbA1c was associated with a 37% decrease in risk for microvascular complications and a 21% decrease in risk for any end point or death related to diabetes[8].

Home blood glucose monitoring is recommended in type 2 diabetes patients to gather information on the fluctuating blood glucose levels at several time points and to adjust the therapeutic regimen accordingly. Though to a limited extend, it also helps the patient to adjust the diet and exercise pattern in day to day life. SMBG have been proven useful in recognizing hyperglycemic and hypoglycemic episodes and helps the physician to individualise the treatment targets for patients who have frequent hypoglycemic episodes, diabetes which is brittle etc. Further, home blood glucose monitoring empowers the patient to be more conscious of his blood sugar fluctuations and its relation to timing of meals and snacks and physical activity[15]. The Indian consensus guideline on blood glucose monitoring recommends SMBG protocols to be individualised to address each individual’s specific educational, behavioural, and clinical requirements and provider requirements to aid therapeutic decision making[16].

At Jothydev’s Diabetes Research Centres in Kerala, Diabetes Tele Management System (DTMS®) has been in vogue since 1998. This is a system in which home blood glucose monitoring is combined with a decision support system provided by a multidisciplinary team of doctors, diabetes educators, dieticians, nurses, pharmacists, psychologist etc. based on a patient customised software. Our studies have shown the benefit of SMBG not only in type 1 diabetes but also in type 2 diabetes on various therapies including patients only on oral medications in maintaining customised glycemic targets and in modifying diet, exercise and drug dosages[17].

Accuracy of Glucometers

Glucometers find widespread use in hospitals, outpatient clinics, emergency rooms, ambulatory medical care and home self-monitoring. The universal availability and use of glucometers mandate certain level of confidence in the accuracy of glucometers. However, accuracy of test results can be affected by varied factors including environmental effects, patient condition, medication, and other metabolic factors. The accuracy of glucometers may be considered as technical and clinical. Technical accuracy refers to the analytical result agreement of a glucometer to a comparative laboratory method. Clinical accuracy compares the medical decisions based on the test results[12].

A study evaluating the clinical significance of glucometer precision found that the analytical variability of a glucometer though only 5%, the clinical insulin doses varied in 8–23% of cases, depending on the glucose concentration when compared against dosage based on the laboratory result. A glucose meter total variability of 10% led to different insulin dosage in 16–45% of cases, and >10–15% led to a two-fold or greater discrepancy in insulin dosage. The study concluded that a glucose meter total precision of <1–2% was required to ensure similar insulin dosage compared to the laboratory methods >95% of the time. However, none of the current glucose meters available on the market are capable of providing this level of precision[18].

The ADA recommends glucometers to possess accuracy within ±15% of the laboratory method at all concentrations, with a future performance goal of ±5% agreement at all glucose concentration[19]. However, there is no single standard to assess the accuracy of glucometers so far.

Evidence suggest that 91-97% of blood glucose errors is due to poor skill of the users like mechanical stress applied to the strips, failure to clean the site for testing, dirty meters, and sample issues like specimen clots, bubbles, and failure to apply an adequate amount of blood to the test[20,21]. Calibration errors are also common for those meters which require calibration.

History & Evolution of Continuous Glucose Monitoring

In the recent years, with advancements in technology, continuous glucose sensing has evolved as a useful tool to address insufficient glycemic management and to redefine the concept of SMBG in diabetes management. Continuous glucose monitoring (CGM) emerged as a research tool initially and later as an investigation to modify treatment to normalise glycemic excursions. Evolution of CGM can be traced back to the mid-1970s followed by the development of sensor technology and implantable glucose sensors in early 1980s. The first commercial CGM system known as CGMS Gold (CA, USA) came to

market following the US Food and Drug Administration (FDA) approval in 1999. Several CGMS are presently on the market. They can broadly be divided into systems providing retrospective or real time information on glucose patterns.

A typical CGM system consists of a glucose oxidase-based, electrochemical sensor inserted through the skin using a needle introducer, a transmitter that is fixed onto the sensor and a receiver that picks up the interstitial fluid signal. The oxidation of interstitial glucose by the sensor generates an electrical current. The electrical current data are filtered and cleared from background noise by the transmitter and sent to the receiver, which provides an approximation of the blood glucose level. The glucose data can be obtained at every 5 minutes intervals[22].

The sensor measures the interstitial fluid (IF) glucose where a lag of average 15 minutes is associated with the sensor glucose levels when compared to blood glucose levels due to the physiologic delay in transferring glucose between the blood and IF space (approximately 2–8 min), the transit time of IF glucose through the sensor membrane (1–2 min) and signal filtering (3–12 min).Due to this reason, CGM readings cannot be considered 100% accurate[23].

The glucose sensor must be calibrated against corresponding blood glucose meter levels to ensure the continuous accuracy of sensor data. Such calibrations transform the sensor signals into matching capillary glucose levels and assumes that the plasma to IF glucose gradient remains relatively constant[24].

Recalibration at fixed intervals is required to overcome signal drift issue[25]. Calibration should take place when blood glucose levels are relatively stable when the rate of change in sensor glucose values should be less than ±0.5 mg/dl/min[26,27].  Different CGM sensors available in the market include iPro2 Professional CGM, Guardian Real Time CGM system, Dexcom G4 Platinum etc.

Accuracy of CGM Sensors

Though sensor accuracy have improved over the years, the accuracy of sensors available for use in patients show varied results across clinical trials. In a comparison between Dexcom G4 sensor and Enlite sensor (guardian real-time system), the mean absolute relative difference (MARD) in blood glucose for the Dexcom G4 was significantly lower (13.9%) than for the Enlite sensor (17.8%) (P<0.0001)[28]. In yet another study, comparing the Navigator, G4 Platinum and Enlite, there was marked differences in both accuracy and precision and Navigator and G4 found to outperform the Enlite[29]. In a head to head comparison between DexcomG4 Platinum and Medtronic Paradigm Veo Enlite system at a clinical research centre (CRC) and in daily life conditions, overall MARD value standard deviation measured at the CRC was 13.6 (11.0)% for G4 Platinum and 16.6 (13.5)% for Veo Enlite system (P<0.0002). The overall MARD assessed at home was 12.2 (12.0)% for G4 Platinum and 19.9 (20.5)% for Veo Enlite system (P<0.0001)[30]. Interestingly both sensors showed lower accuracy in the hypoglycemic range which underscores the importance of supplementing CGM with SMBG[31]. Hence, CGM readings cannot be fully relied upon for therapeutic decision making.

A recent published article discussing the accuracy of the factory calibrated sensor showed that the overall MARD of the sensor was 11.4% when compared to capillary BG values.

History & Evolution of Ambulatory Glucose Profile

Beyond the traditional metrics, glycemic variability has been identified as a predictor of hypoglycaemia and is implicated in the pathogenesis of vascular diabetes complications. Assessment of glycemic variability is thus important, but exact quantification requires frequently sampled glucose measurements. In order to optimise diabetes treatment, there is a need for more advanced, user-friendly monitoring methods. For the meaningful measurement of inter-day glycemic variability, a CGM data for a longer period is required. This will help clinicians and patients easily visualise glycemic patterns to make therapeutic decisions.

New introduction to the field of sensor technology in this regard, is the ambulatory glucose profile (AGP) where the glucose data over a period of 14 days is collated to form a graph as if they occurred in a single 24-hour period. It has been observed that the glycemic glycemic pattern over the first 4 days of CGM cannot ideally predict the subsequent days and it is only over 7 days that the pattern tends to stabilize. The 14 days of glucose data help predict the glucose pattern over the next 30 days with 90–95% certainty, making it easier to visualise glycemic patterns. Thus, AGP combines inputs from multiple days of CGM data and collates them into a single 24-hour period, making glycemic patterns more recognizable.

The history of AGP dates back to 1987, where Mazze et al[32] used specifically modified reflectance meters containing memory chips which enabled them to store 440 individual blood glucose values with corresponding time and date. These data were organised into 14 day periods and collapsed into a graphical depiction which came to be known as AGP. The AGP was introduced as a solution to two major problems related to the use of reflectance meters. It was observed that 75% of the patients who practiced SMBG reported values which were significantly different from the actual values. Secondly, physicians had to heavily depend on logbooks to search for glycemic patterns and the efficiency of this subjective method was seriously questioned. Though the introduction of computer partially solved this problem with the help of software and graphics, substantial errors in the entry of data into the system was a major limiting factor. Thus, AGP was a novel step which systematically presented SMBG data and reflected features beyond glycemic control including amplitude and frequency of changes in the glycemic level.

However, this technology was wrought by several limitations including that AGP being a day time profile and not a continuous monitoring system. It did not consider variables including diet, exercise, timing of medications etc. Moreover, frequent and sustained SMBG was required for the construction of AGP[32].

Interest on AGP rekindled when an expert panel of diabetes specialists met in Florida, to discuss the utility of CGM in clinical practice and research applications where they were introduced to a universal software report, the AGP, created by Mazze et al. and further developed by the International Diabetes Centre (IDC)[33], Minneapolis, MN, and asked to provide feedback on its content and functionality, both as a research tool and in clinical settings. The panel observed that standardizing glucose reporting and analysis, with tools such as AGP, may be one step toward optimizing clinical decision making in diabetes.

Ambulatory Glucose Profile in India

Abbott launched the FreeStyle Libre Pro Flash Glucose Monitoring System in India, first time ever in the world in March 2015. It consists of a small, round sensor, which is applied on the back of the patient’s upper arm. It requires no patient interaction or glucose meter calibration and is performed up to a period of 14 days.

The sensor continuously measures glucose in interstitial fluid through a small (5mm long, 0.4mm wide) filament which is inserted just under the skin and records glucose levels every 15 minutes, capturing up to 1340 glucose results over 14 days. After 14 days, a FreeStyle Libre Pro reader device is used to scan the sensor and download the glucose results that are stored in the sensor in 5 seconds. The personal system, FreeStyle Libre Flash Glucose Monitoring (not yet available in India), was launched in European markets in October 2014. Holding the reader within 1.5 inches of the sensor obtains the real-time value and past eight hours of glucose information along with a trend arrow on a line graph, just like traditional CGM.

The scanning process works through many layers of clothing, allowing for excellent discretion and flexibility. It also provides the option to add tags to each scan, such as carbs, insulin, exercise, and customizable options.

Figure 2. Flash Glucose Monitoring. Sensor gets applied to Back of Arm of patient and Doctor uses the Reader to get glucose data to obtain the AGP profile

The AGP sensor which works using wired enzyme technology comes factory calibratedprecluding the need for glucometer calibrations and with a MARD 11.4 % Flash glucose monitoring (Figure 2). In a study, which looked into the feasibility of using this modified version of the sensor found in the Freestyle Libre Pro CGM for 14 days, sensors using wired enzyme technology showed excellent in vivo stability, with no significant sensitivity loss over the 14 day wear period[34].

The AGP graph consists of five curves: 25th and 75th percentile curves also known as the inter quartile range (IQR), median curve and 10th and 90th percentile curves. The IQR shows the daily, nightly and postprandial span of 50% of glucose values and the shape of the median curve can provide insight into intraday glucose variability. Glucose variability is said to exist when glucose values are widely spread i.e., when the IQR and 10th and 90th percentile curves cover a large area. AGP help assess target, identify degree of variability and risk of hypoglycaemia. AGP results were found to be an effective basis for education, helping achieve better understanding of glycemic variability and increasing involvement in diabetes self-management[35,36].

Figure 3. Ambulatory Glucose Profile of a Patient: the 14 day CGM data is Collapsed to Look Like a Model 24-h Graph

Ambulatory Glucose Profile (AGP) report of 14 days of Continuous Glucose Monitoring (CGM) data, displayed bytime to show the spread of glucose values within each time interval. The dark blue line is the mediun curve (50th percentile) and shows the median glucose value for each time point. The blue shaded area represents the interquartile range (IQR). The outlier values (lowest and highest 10%) are represented by the light blue shaded area.

Zoomed Image of Figure 4

FreeStyle Libre Pro Flash glucose monitoring system is considered a revolutionary product as it does not require expertise for sensor insertion precludes glucometer calibration and displays glucose values. In contrast, conventional CGM systems involve sophisticated devices, demand expertise, can be used only up to a maximum of one week and are much more expensive.

Conclusion

The benefits of home blood glucose monitoring in the prevention of long term complications of diabetes are well proven. This benefit is observed only in those individuals in whom therapeutic and lifestyle changes are incorporated based on monitored parameters. For such changes to be made, either the patient should be highly educated and motivated or should receive directions from experts at frequent intervals.

Considering the fact that home blood glucose monitoring is a cost effective modality in preventing the expensive complications of diabetes, this procedure should be recommended by health care professionals in all eligible patients irrespective of the medications.

In the history of diabetes, AGP with FreeStyle Libre Pro is the first device to provide glucose values without the need for additional pricking the fingers. As the system measures glucose from the interstitial fluid, the values may not exactly reflect the blood glucose readings, this revolutionary technology could be the first one to replace conventional glucose meters and existing continuous glucose monitoring systems.

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