A novel automated discontinuous venous blood monitoring system for ex vivo glucose determination in humans

Schaller, Roland; Feichtner, Franz; Köhler, H.; Bodenlenz, Manfred; Plank, Johannes; Wutte, Andrea; Mader, Julia K.; Ellmerer, Martin; Hellmich, R.; Wedig, H.; Hainisch, Reinhard; Pieber, Thomas R.; Schaupp, Lukas

doi:10.1016/j.bios.2008.11.029

Cited by 7 publications

(6 citation statements)

References 19 publications

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“…Integration of low volume online sensors (e.g. 0.5 µl) such as presented by Schaller et al (Schaller et al 2009) is feasible, obtaining highly resolved glucose signals using a 5 µl/min perfusate flow and will be investigated in future studies where aspects of longterm in vivo stability will also be addressed.…”

Section: Discussionmentioning

confidence: 99%

Microdialysis based device for continuous extravascular monitoring of blood glucose

Feichtner

Schaller

Fercher

et al. 2010

Biomed Microdevices

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Glycemic control of intensive care patients can be beneficial for this patient group but the continuous determination of their glucose concentration is challenging. Current continuous glucose monitoring systems based on the measurement of interstitial fluid glucose concentration struggle with sensitivity losses, resulting from biofouling or inflammation reactions. Their use as decision support systems for the therapeutic treatment is moreover hampered by physiological time delays as well as gradients in glucose concentration between plasma and interstitial fluid. To overcome these drawbacks, we developed and clinically evaluated a system based on microdialysis of whole blood. Venous blood is heparinised at the tip of a double lumen catheter and pumped through a membrane based micro-fluidic device where protein-free microdialysate samples are extracted. Glucose recovery as an indicator of long term stability was studied in vitro with heparinised bovine blood and remained highly stable for 72 h. Clinical performance was tested in a clinical trial in eight healthy volunteers undergoing an oral glucose tolerance test. Glucose concentrations of the new system and the reference method correlated at a level of 0.96 and their mean relative difference was 1.9 +/- 11.2%. Clinical evaluation using Clark's Error Grid analysis revealed that the obtained glucose concentrations were accurate and clinically acceptable in 99.6% of all cases. In conclusion, results of the technical and clinical evaluation suggest that the presented device delivers microdialysate samples suitable for accurate and long term stable continuous glucose monitoring in blood.

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Section: Discussionmentioning

confidence: 99%

Microdialysis based device for continuous extravascular monitoring of blood glucose

Feichtner

Schaller

Fercher

et al. 2010

Biomed Microdevices

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“…The procedure involves labor-intensive tasks such as venipuncture, collection of venous blood, transport of samples to the laboratory, and testing. To minimize these tasks, Schaller et al developed an automated enzyme-based biosensor for the determination of glucose in venous blood in humans . Traditional methods for analysis of environmental and food samples often involve manual sample preparation, iterative detection, and other time-consuming procedures.…”

Section: Different Types Of Sensing Systems With Elements Of Automationmentioning

confidence: 99%

Automation and Computerization of (Bio)sensing Systems

Raju,

Elpa,

Urban

2024

ACS Sens.

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Sensing systems necessitate automation to reduce human effort, increase reproducibility, and enable remote sensing. In this perspective, we highlight different types of sensing systems with elements of automation, which are based on flow injection and sequential injection analysis, microfluidics, robotics, and other prototypes addressing specific real-world problems. Finally, we discuss the role of computer technology in sensing systems. Automated flow injection and sequential injection techniques offer precise and efficient sample handling and dependable outcomes. They enable continuous analysis of numerous samples, boosting throughput, and saving time and resources. They enhance safety by minimizing contact with hazardous chemicals. Microfluidic systems are enhanced by automation to enable precise control of parameters and increase of analysis speed. Robotic sampling and sample preparation platforms excel in precise execution of intricate, repetitive tasks such as sample handling, dilution, and transfer. These platforms enhance efficiency by multitasking, use minimal sample volumes, and they seamlessly integrate with analytical instruments. Other sensor prototypes utilize mechanical devices and computer technology to address real-world issues, offering efficient, accurate, and economical real-time solutions for analyte identification and quantification in remote areas. Computer technology is crucial in modern sensing systems, enabling data acquisition, signal processing, real-time analysis, and data storage. Machine learning and artificial intelligence enhance predictions from the sensor data, supporting the Internet of Things with efficient data management.

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“…It has a lag time of 10 min due to equilibration between the microdialysis solution and plasma glucose which is inadequate for real-time sensing in a closed-loop treatment system. 40 Other blood glucose sensors have used a semipermeable membrane embedded in a flow cell window to separate the glucose oxidase sensor from blood [41][42][43][44][45][46] with some of the devices demonstrating the precision required for a closed-loop sensor in an ICU. 47,48 In such designs, the sensor is integrated in a flow cell window and is connected to a vascular catheter distally and to a bidirectional pump proximally.…”

Section: Sensingmentioning

confidence: 99%

Managing hyperglycemia during the COVID-19 pandemic: Improving outcomes using new technologies in intensive care

Valk¹,

McMorrow²

2020

SAGE Open Medicine

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Hyperglycemia is a significant risk for mortality in COVID-19 infections and is most dramatically noted in critically ill patients. Hyperglycemia and/or diabetes are noted in approximately 30%–40% of patients admitted with COVID-19 infections. Previous studies have shown a marked increase in mortality related to increased glucose concentrations and reduction with improved glucose control. In vivo and in vitro studies reveal the mechanisms by which hyperglycemia increases virulence and how glucose control and insulin reduce it. Optimal glucose control in intensive care is limited by manual sampling of glucose and intravenous insulin adjustment, as well as increased nursing workload and the need of protective equipment. Tools for safe and effective automation of glucose control in intensive care are discussed. A suitable closed loop device could save the lives of thousands of hospitalized hyperglycemic individuals infected with COVID-19 while protecting medical professionals from infection risk.

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A novel automated discontinuous venous blood monitoring system for ex vivo glucose determination in humans

Cited by 7 publications

References 19 publications

Microdialysis based device for continuous extravascular monitoring of blood glucose

Microdialysis based device for continuous extravascular monitoring of blood glucose

Automation and Computerization of (Bio)sensing Systems

Managing hyperglycemia during the COVID-19 pandemic: Improving outcomes using new technologies in intensive care

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