Literature DB >> 31983225

Comparison of Accuracy Guidelines for Hospital Glucose Meters.

Cynthia Foss Bowman1, James H Nichols2.   

Abstract

When used in hospital settings, glucose meter performance issues involve analytic comparability to lab-based testing, patient and sample variables, and clinical affects such as insulin treatment protocol outcomes and morbidity or outcome risk factors. Different tools are available to assess these issues, including accuracy and precision statistics along with clinical risk measures such as error grids or simulation testing. Regulatory, guidance, and professional bodies have advocated a number of varying recommendations for glucose meter performance in different situations and under different patient conditions. These are summarized and compared, but reconciling these guidelines can be confusing or difficult for providers. Blood glucose meters are useful in the management of patients in acute or assisted care facilities, but users must appreciate the variables that affect measurements and provide for oversight that can manage risk factors and maintain meter performance expectations.

Entities:  

Keywords:  POCT; accuracy; glucose meters; guidelines; hospitals

Year:  2020        PMID: 31983225      PMCID: PMC7576947          DOI: 10.1177/1932296819898277

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


  25 in total

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Journal:  N Engl J Med       Date:  2001-11-08       Impact factor: 91.245

Review 2.  Understanding error grid analysis.

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Journal:  Diabetes Care       Date:  1997-06       Impact factor: 19.112

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Authors:  David C Klonoff; Courtney Lias; Robert Vigersky; William Clarke; Joan Lee Parkes; David B Sacks; M Sue Kirkman; Boris Kovatchev
Journal:  J Diabetes Sci Technol       Date:  2014-06-13

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Authors:  D J Cox; F E Richards; L A Gonder-Frederick; D M Julian; W R Carter; W L Clarke
Journal:  Diabetes Care       Date:  1989-03       Impact factor: 19.112

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Authors: 
Journal:  Diabetes Care       Date:  1987 Jan-Feb       Impact factor: 19.112

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Journal:  Diabetes Care       Date:  1994-01       Impact factor: 19.112

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Authors:  James C Boyd; David E Bruns
Journal:  Clin Chem       Date:  2014-01-15       Impact factor: 8.327

8.  Modeling of effect of glucose sensor errors on insulin dosage and glucose bolus computed by LOGIC-Insulin.

Authors:  Tom Van Herpe; Bart De Moor; Greet Van den Berghe; Dieter Mesotten
Journal:  Clin Chem       Date:  2014-08-26       Impact factor: 8.327

9.  New approach to technical and clinical evaluation of devices for self-monitoring of blood glucose.

Authors:  T Koschinsky; K Dannehl; F A Gries
Journal:  Diabetes Care       Date:  1988-09       Impact factor: 19.112

Review 10.  Dysglycemia in the critically ill patient: current evidence and future perspectives.

Authors:  Ignacio Aramendi; Gastón Burghi; William Manzanares
Journal:  Rev Bras Ter Intensiva       Date:  2017 Jul-Sep
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  1 in total

Review 1.  Diabetes Detection and Management through Photoplethysmographic and Electrocardiographic Signals Analysis: A Systematic Review.

Authors:  Serena Zanelli; Mehdi Ammi; Magid Hallab; Mounim A El Yacoubi
Journal:  Sensors (Basel)       Date:  2022-06-29       Impact factor: 3.847

  1 in total

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