Literature DB >> 14598871

Point-of-care testing in diabetes mellitus.

Christopher P Price1.   

Abstract

Diabetes mellitus is an excellent case study of the evolution, and successful application, of point-of-care testing. It offers a valuable history of the way in which technology has evolved, and continues to evolve, to meet the needs of patients whilst also providing for a more optimal delivery of care. Diabetes mellitus is also a good exemplar of where test and treatment regimes must operate in complete harmony in order to achieve the greatest benefit. Thus whilst the measurement of blood glucose is central to the screening, diagnosis and management of diabetes, it is in the latter use, largely related to supporting compliance with therapy, that point-of-care testing is of greatest relevance. In addition, there are other tests, more associated with the management of diabetes and early detection of the complications associated with diabetes, that are appropriate to the point-of-care testing modality. This Review will focus on the developments in technology and the harnessing of this innovation to support the delivery of clinical, organisational and economic benefits in the care of patients with diabetes mellitus.

Entities:  

Mesh:

Year:  2003        PMID: 14598871     DOI: 10.1515/CCLM.2003.185

Source DB:  PubMed          Journal:  Clin Chem Lab Med        ISSN: 1434-6621            Impact factor:   3.694


  8 in total

1.  A toolbox to improve algorithms for insulin-dosing decision support.

Authors:  K Donsa; P Beck; J Plank; L Schaupp; J K Mader; T Truskaller; B Tschapeller; B Höll; S Spat; T R Pieber
Journal:  Appl Clin Inform       Date:  2014-06-11       Impact factor: 2.342

2.  Utility of point-of-care vs reference laboratory testing for the evaluation of glucose levels.

Authors:  O M Andriankaja; F J Muñoz-Torres; J L Vergara; C M Pérez; K Joshipura
Journal:  Diabet Med       Date:  2019-03-01       Impact factor: 4.359

3.  Goal-directed medical therapy and point-of-care testing improve outcomes after congenital heart surgery.

Authors:  Anthony F Rossi; Danyal M Khan; Robert Hannan; Juan Bolivar; Michel Zaidenweber; Redmond Burke
Journal:  Intensive Care Med       Date:  2004-12-01       Impact factor: 17.440

4.  Development and clinical trial of a smartphone-based colorimetric detection system for self-monitoring of blood glucose.

Authors:  Hung-Chih Wang; Fuh-Yu Chang; Tung-Meng Tsai; Chieh-Hsiao Chen; Yen-Yu Chen
Journal:  Biomed Opt Express       Date:  2020-03-23       Impact factor: 3.732

5.  Authors' reply.

Authors:  Ozen K Basoglu; Fulden Sarac; Sefa Sarac; Hatice Uluer; Candeger Yilmaz
Journal:  Ann Thorac Med       Date:  2011-10       Impact factor: 2.219

Review 6.  Glucose biosensors: an overview of use in clinical practice.

Authors:  Eun-Hyung Yoo; Soo-Youn Lee
Journal:  Sensors (Basel)       Date:  2010-05-04       Impact factor: 3.576

Review 7.  Glucose Sensing for Diabetes Monitoring: Recent Developments.

Authors:  Danielle Bruen; Colm Delaney; Larisa Florea; Dermot Diamond
Journal:  Sensors (Basel)       Date:  2017-08-12       Impact factor: 3.576

8.  Design, fabrication, and feasibility analysis of a colorimetric detection system with a smartphone for self-monitoring blood glucose.

Authors:  Hung-Chih Wang; Fuh-Yu Chang; Tung-Meng Tsai; Chieh-Hsiao Chen; Yen-Yu Chen
Journal:  J Biomed Opt       Date:  2019-02       Impact factor: 3.170

  8 in total

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