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Measurement Uncertainty Impacts Diagnosis of Diabetes Mellitus: Reliable Minimal Difference of Plasma Glucose Results
INTRODUCTION: The diagnosis of diabetes mellitus is based on suitable cut-off values of specific biomarkers, such as the concentration of glucose in plasma. The German Diabetes Association has very recently published a clinical practice guideline on the definition, classification and diagnosis of di...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Healthcare
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6965559/ https://www.ncbi.nlm.nih.gov/pubmed/31845101 http://dx.doi.org/10.1007/s13300-019-00740-w |
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author | Keutmann, Sandra Zylla, Stephanie Dahl, Mathilde Friedrich, Nele Landgraf, Rüdiger Heinemann, Lutz Kallner, Anders Nauck, Matthias Petersmann, Astrid |
author_facet | Keutmann, Sandra Zylla, Stephanie Dahl, Mathilde Friedrich, Nele Landgraf, Rüdiger Heinemann, Lutz Kallner, Anders Nauck, Matthias Petersmann, Astrid |
author_sort | Keutmann, Sandra |
collection | PubMed |
description | INTRODUCTION: The diagnosis of diabetes mellitus is based on suitable cut-off values of specific biomarkers, such as the concentration of glucose in plasma. The German Diabetes Association has very recently published a clinical practice guideline on the definition, classification and diagnosis of diabetes mellitus that recommends measurements of plasma glucose concentration have an imprecision defined as a minimal difference (MD) of at a fasting plasma glucose concentration of 7.0 mmol/L. To obtain reliable values for the MD, we investigated long-term and short-term measurement uncertainty. METHODS: The imprecision was determined by two approaches: (1) a long-term dataset with imprecision based on the Guideline of the German Medical Association on Quality Assurance in Medical Laboratory Examinations (Rili-BAEK), in a medical laboratory operating 24/7, using internal quality control (IQC) data for four concentrations during a 10-year period; and (2) a detailed short-term dataset with imprecision assessed by hourly measurements of control materials. These datasets were used to calculate the MD cut-off (MD(cut-off)) as: [Formula: see text] = 2 [Formula: see text] , where SD is the standard deviation and k = 2 represents a confidence level of 95%. RESULTS: The MD(cut-off) of ≤ 0.7 mmol/L at a fasting plasma glucose concentration of 7.0 mmol/L (MD(cut-off 7.0)) for the long-term and the short-term approaches were 0.44 and 0.40 mmol/L, respectively. The MD(cut-off 7.0) from both approaches was therefore below the recommended value of 0.7 mmol/L. It was noted that the variability in performance within and between instruments can be covered by reporting the long-term MD(cut-off 7.0) across all connected instruments. In this study, stable results for the MD(cut-off 7.0) were obtained after 1 year. CONCLUSION: Imprecision as measured by IQC data is remarkably stable over many years of operation. Current imprecision assessment usually focuses on only single instruments, whereas clinicians perceive the measurement as the result of the combined analytical performance of all instruments used for a certain assay. In the clinical setting, the MD may be a more useful measure of imprecision, and we suggest deriving the MD(cut-off) combined from all instruments and control cycles that are used in the patient care setting for a given analyte. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s13300-019-00740-w) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-6965559 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Springer Healthcare |
record_format | MEDLINE/PubMed |
spelling | pubmed-69655592020-02-03 Measurement Uncertainty Impacts Diagnosis of Diabetes Mellitus: Reliable Minimal Difference of Plasma Glucose Results Keutmann, Sandra Zylla, Stephanie Dahl, Mathilde Friedrich, Nele Landgraf, Rüdiger Heinemann, Lutz Kallner, Anders Nauck, Matthias Petersmann, Astrid Diabetes Ther Original Research INTRODUCTION: The diagnosis of diabetes mellitus is based on suitable cut-off values of specific biomarkers, such as the concentration of glucose in plasma. The German Diabetes Association has very recently published a clinical practice guideline on the definition, classification and diagnosis of diabetes mellitus that recommends measurements of plasma glucose concentration have an imprecision defined as a minimal difference (MD) of at a fasting plasma glucose concentration of 7.0 mmol/L. To obtain reliable values for the MD, we investigated long-term and short-term measurement uncertainty. METHODS: The imprecision was determined by two approaches: (1) a long-term dataset with imprecision based on the Guideline of the German Medical Association on Quality Assurance in Medical Laboratory Examinations (Rili-BAEK), in a medical laboratory operating 24/7, using internal quality control (IQC) data for four concentrations during a 10-year period; and (2) a detailed short-term dataset with imprecision assessed by hourly measurements of control materials. These datasets were used to calculate the MD cut-off (MD(cut-off)) as: [Formula: see text] = 2 [Formula: see text] , where SD is the standard deviation and k = 2 represents a confidence level of 95%. RESULTS: The MD(cut-off) of ≤ 0.7 mmol/L at a fasting plasma glucose concentration of 7.0 mmol/L (MD(cut-off 7.0)) for the long-term and the short-term approaches were 0.44 and 0.40 mmol/L, respectively. The MD(cut-off 7.0) from both approaches was therefore below the recommended value of 0.7 mmol/L. It was noted that the variability in performance within and between instruments can be covered by reporting the long-term MD(cut-off 7.0) across all connected instruments. In this study, stable results for the MD(cut-off 7.0) were obtained after 1 year. CONCLUSION: Imprecision as measured by IQC data is remarkably stable over many years of operation. Current imprecision assessment usually focuses on only single instruments, whereas clinicians perceive the measurement as the result of the combined analytical performance of all instruments used for a certain assay. In the clinical setting, the MD may be a more useful measure of imprecision, and we suggest deriving the MD(cut-off) combined from all instruments and control cycles that are used in the patient care setting for a given analyte. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s13300-019-00740-w) contains supplementary material, which is available to authorized users. Springer Healthcare 2019-12-16 2020-01 /pmc/articles/PMC6965559/ /pubmed/31845101 http://dx.doi.org/10.1007/s13300-019-00740-w Text en © The Author(s) 2019 https://creativecommons.org/licenses/by/4.0/This article is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License, which permits any non-commercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Original Research Keutmann, Sandra Zylla, Stephanie Dahl, Mathilde Friedrich, Nele Landgraf, Rüdiger Heinemann, Lutz Kallner, Anders Nauck, Matthias Petersmann, Astrid Measurement Uncertainty Impacts Diagnosis of Diabetes Mellitus: Reliable Minimal Difference of Plasma Glucose Results |
title | Measurement Uncertainty Impacts Diagnosis of Diabetes Mellitus: Reliable Minimal Difference of Plasma Glucose Results |
title_full | Measurement Uncertainty Impacts Diagnosis of Diabetes Mellitus: Reliable Minimal Difference of Plasma Glucose Results |
title_fullStr | Measurement Uncertainty Impacts Diagnosis of Diabetes Mellitus: Reliable Minimal Difference of Plasma Glucose Results |
title_full_unstemmed | Measurement Uncertainty Impacts Diagnosis of Diabetes Mellitus: Reliable Minimal Difference of Plasma Glucose Results |
title_short | Measurement Uncertainty Impacts Diagnosis of Diabetes Mellitus: Reliable Minimal Difference of Plasma Glucose Results |
title_sort | measurement uncertainty impacts diagnosis of diabetes mellitus: reliable minimal difference of plasma glucose results |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6965559/ https://www.ncbi.nlm.nih.gov/pubmed/31845101 http://dx.doi.org/10.1007/s13300-019-00740-w |
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