Literature DB >> 19885342

Automated blood sampling and glucose sensing in critical care settings.

Kislaya Kunjan1, Frank P Lloyd.   

Abstract

BACKGROUND: Tight glycemic control (TGC) studies in intensive care units (ICU) have shown substantial improvements in clinical outcomes. However, implementation of TGC in ICU practice is partly constrained by the lack of automated continuous blood glucose monitoring systems that can facilitate clinically accurate feedback of glycemic data. The aim of this work is to develop a portable automated blood sampling system for integration with a glucose sensor for use in critical care settings.
METHODS: clinical prototypes for glucose sensing in blood were developed based on two distinct technologies: mid-infrared laser absorption spectroscopy and electrochemistry. Concurrently, an automated peripheral venous blood sampling system was developed for integration with the glucose sensing system.
RESULTS: The glucose sensing prototypes were validated clinically with various biological samples in a continuous mode. A customized micropump was employed in conjunction with a novel peripheral venous catheter system to automatically sample blood from the subject's forearm. Microvolumes of blood were sampled in continuous and intermittent modes at clinically relevant user-defined frequencies. The clinical feasibility of blood sampling, along with continuous glucose sensing, was demonstrated.
CONCLUSION: Cascade's automated peripheral venous blood sampling system, in combination with a flow-through glucose sensor system, offers several advantages over current state-of-the-art systems. This includes the potential for significantly improved workflow in the ICU, minimal discomfort to the patient, and accurate glucose measurement in whole blood, thus helping achieve tight glycemic control.

Entities:  

Keywords:  automated blood sampling; continuous glucose monitoring; mid-infrared quantum cascade laser spectroscopy; tight glycemic control

Year:  2008        PMID: 19885342      PMCID: PMC2771487          DOI: 10.1177/193229680800200204

Source DB:  PubMed          Journal:  J Diabetes Sci Technol        ISSN: 1932-2968


  9 in total

1.  Determination of glucose in whole blood samples by mid-infrared spectroscopy.

Authors:  Yoen-Joo Kim; Sangjoon Hahn; Gilwon Yoon
Journal:  Appl Opt       Date:  2003-02-01       Impact factor: 1.980

Review 2.  Biosensors for real-time in vivo measurements.

Authors:  George S Wilson; Raeann Gifford
Journal:  Biosens Bioelectron       Date:  2005-01-15       Impact factor: 10.618

3.  Middle infrared, quantum cascade laser optoelectronic absorption system for monitoring glucose in serum.

Authors:  W Blake Martin; Sergey Mirov; Ramakrishna Venugopalan
Journal:  Appl Spectrosc       Date:  2005-07       Impact factor: 2.388

4.  Continuous glucose monitoring by means of fiber-based, mid-infrared laser spectroscopy.

Authors:  A Lambrecht; T Beyer; K Hebestreit; R Mischler; W Petrich
Journal:  Appl Spectrosc       Date:  2006-07       Impact factor: 2.388

5.  Intensive insulin therapy in the medical ICU.

Authors:  Greet Van den Berghe; Alexander Wilmer; Greet Hermans; Wouter Meersseman; Pieter J Wouters; Ilse Milants; Eric Van Wijngaerden; Herman Bobbaers; Roger Bouillon
Journal:  N Engl J Med       Date:  2006-02-02       Impact factor: 91.245

6.  Lab-on-a-chip technology for continuous glucose monitoring.

Authors:  Peter Gravesen; Kristian Raaby Poulsen; Holger Dirac
Journal:  J Diabetes Sci Technol       Date:  2007-05

7.  The need for continuous blood glucose monitoring in the intensive care unit.

Authors:  Ram Weiss; Isaac Lazar
Journal:  J Diabetes Sci Technol       Date:  2007-05

8.  Towards functional group-specific detection in high-performance liquid chromatography using mid-infrared quantum cascade lasers.

Authors:  A Edelmann; C Ruzicka; J Frank; B Lend; W Schrenk; E Gornik; G Strasser
Journal:  J Chromatogr A       Date:  2001-11-16       Impact factor: 4.759

9.  Intensive insulin protocol improves glucose control and is associated with a reduction in intensive care unit mortality.

Authors:  Charles C Reed; Ronald M Stewart; Michele Sherman; John G Myers; Michael G Corneille; Nanette Larson; Susan Gerhardt; Randall Beadle; Conrado Gamboa; Daniel Dent; Stephen M Cohn; Basil A Pruitt
Journal:  J Am Coll Surg       Date:  2007-05       Impact factor: 6.113

  9 in total
  6 in total

1.  An analysis: hyperglycemic intensive care patients need continuous glucose monitoring-easier said than done.

Authors:  Brenda G Fahy; Douglas B Coursin
Journal:  J Diabetes Sci Technol       Date:  2008-03

Review 2.  Why Have So Many Intravascular Glucose Monitoring Devices Failed?

Authors:  John L Smith; Mark J Rice
Journal:  J Diabetes Sci Technol       Date:  2015-07

Review 3.  Clinical need for continuous glucose monitoring in the hospital.

Authors:  Jeffrey I Joseph; Brian Hipszer; Boris Mraovic; Inna Chervoneva; Mark Joseph; Zvi Grunwald
Journal:  J Diabetes Sci Technol       Date:  2009-11-01

Review 4.  Vascular Glucose Sensor Symposium: Continuous Glucose Monitoring Systems (CGMS) for Hospitalized and Ambulatory Patients at Risk for Hyperglycemia, Hypoglycemia, and Glycemic Variability.

Authors:  Jeffrey I Joseph; Marc C Torjman; Paul J Strasma
Journal:  J Diabetes Sci Technol       Date:  2015-06-15

5.  Investigation into the value of trained glycaemia alert dogs to clients with type I diabetes.

Authors:  Nicola J Rooney; Steve Morant; Claire Guest
Journal:  PLoS One       Date:  2013-08-07       Impact factor: 3.240

Review 6.  Managing hyperglycemia during the COVID-19 pandemic: Improving outcomes using new technologies in intensive care.

Authors:  Timothy Valk; Carol McMorrow
Journal:  SAGE Open Med       Date:  2020-11-19
  6 in total

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