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Post-Market Surveillance of a Blood Glucose Test Strip Demonstrates No Evidence of Interference on Clinical Accuracy in a Large Cohort of People with Type 1 or Type 2 Diabetes
BACKGROUND: Regulations and industry guidance relating to testing for interference in blood glucose monitoring (BGM) systems continue to focus on in vitro laboratory bench tests. Post-market surveillance (PMS) in a clinical setting allows for BGM accuracy assessments to evaluate the impact of real-w...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
SAGE Publications
2021
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9846393/ https://www.ncbi.nlm.nih.gov/pubmed/34486429 http://dx.doi.org/10.1177/19322968211042352 |
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author | Phillips, Stuart Setford, Steven Grady, Mike Liu, Zuifang Cameron, Hilary |
author_facet | Phillips, Stuart Setford, Steven Grady, Mike Liu, Zuifang Cameron, Hilary |
author_sort | Phillips, Stuart |
collection | PubMed |
description | BACKGROUND: Regulations and industry guidance relating to testing for interference in blood glucose monitoring (BGM) systems continue to focus on in vitro laboratory bench tests. Post-market surveillance (PMS) in a clinical setting allows for BGM accuracy assessments to evaluate the impact of real-world exposure to polypharmacy in people with diabetes. This study evaluated the OneTouch Select Plus® BGM test-strip accuracy with respect to polypharmacy using a clinical registry dataset. METHODS: Medication profiles were analysed for 1023 subjects (425 with type 1 (T1D) and 598 with type 2 diabetes (T2D)) attending 3 UK hospitals. Blood samples were analysed to determine clinical accuracy of the BGM test-strip against a laboratory comparator. RESULTS: 538 different medications (48 diabetes and 490 non-diabetes) were recorded across the 1023 subjects. Patients took on average 6.9 (n = 1-36) individual medications and 4.1 (n = 1-13) unique medication classes. Clinical accuracy to EN ISO 15197:2015 criteria were met irrespective of increasing average number of individual medications, categorized from 1-3, 4-6, 7-9, 10-12 and >12 taken per subject (97.7%, 97.7%, 97.8%, 97.8%, and 98.4%, respectively). Clinical accuracy criteria were met across 15 classes of medication using the combined dataset (97.9%; 29784/30433). Surveillance Error Grid (SEG) analysis showed 98.7% (29959/30368) of readings presented no clinical risk. No individual class or combination of medication classes impacted clinical accuracy of the BGM test-strip. CONCLUSIONS: Clinical performance for the test strip under assessment demonstrated no evidence of interference from over 500 prescription medications, with clinical accuracy maintained across a range of polypharmacy conditions in people with diabetes. |
format | Online Article Text |
id | pubmed-9846393 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | SAGE Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-98463932023-01-30 Post-Market Surveillance of a Blood Glucose Test Strip Demonstrates No Evidence of Interference on Clinical Accuracy in a Large Cohort of People with Type 1 or Type 2 Diabetes Phillips, Stuart Setford, Steven Grady, Mike Liu, Zuifang Cameron, Hilary J Diabetes Sci Technol Original Articles BACKGROUND: Regulations and industry guidance relating to testing for interference in blood glucose monitoring (BGM) systems continue to focus on in vitro laboratory bench tests. Post-market surveillance (PMS) in a clinical setting allows for BGM accuracy assessments to evaluate the impact of real-world exposure to polypharmacy in people with diabetes. This study evaluated the OneTouch Select Plus® BGM test-strip accuracy with respect to polypharmacy using a clinical registry dataset. METHODS: Medication profiles were analysed for 1023 subjects (425 with type 1 (T1D) and 598 with type 2 diabetes (T2D)) attending 3 UK hospitals. Blood samples were analysed to determine clinical accuracy of the BGM test-strip against a laboratory comparator. RESULTS: 538 different medications (48 diabetes and 490 non-diabetes) were recorded across the 1023 subjects. Patients took on average 6.9 (n = 1-36) individual medications and 4.1 (n = 1-13) unique medication classes. Clinical accuracy to EN ISO 15197:2015 criteria were met irrespective of increasing average number of individual medications, categorized from 1-3, 4-6, 7-9, 10-12 and >12 taken per subject (97.7%, 97.7%, 97.8%, 97.8%, and 98.4%, respectively). Clinical accuracy criteria were met across 15 classes of medication using the combined dataset (97.9%; 29784/30433). Surveillance Error Grid (SEG) analysis showed 98.7% (29959/30368) of readings presented no clinical risk. No individual class or combination of medication classes impacted clinical accuracy of the BGM test-strip. CONCLUSIONS: Clinical performance for the test strip under assessment demonstrated no evidence of interference from over 500 prescription medications, with clinical accuracy maintained across a range of polypharmacy conditions in people with diabetes. SAGE Publications 2021-09-04 /pmc/articles/PMC9846393/ /pubmed/34486429 http://dx.doi.org/10.1177/19322968211042352 Text en © 2021 Diabetes Technology Society https://creativecommons.org/licenses/by-nc/4.0/This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage). |
spellingShingle | Original Articles Phillips, Stuart Setford, Steven Grady, Mike Liu, Zuifang Cameron, Hilary Post-Market Surveillance of a Blood Glucose Test Strip Demonstrates No Evidence of Interference on Clinical Accuracy in a Large Cohort of People with Type 1 or Type 2 Diabetes |
title | Post-Market Surveillance of a Blood Glucose Test Strip Demonstrates
No Evidence of Interference on Clinical Accuracy in a Large Cohort of People
with Type 1 or Type 2 Diabetes |
title_full | Post-Market Surveillance of a Blood Glucose Test Strip Demonstrates
No Evidence of Interference on Clinical Accuracy in a Large Cohort of People
with Type 1 or Type 2 Diabetes |
title_fullStr | Post-Market Surveillance of a Blood Glucose Test Strip Demonstrates
No Evidence of Interference on Clinical Accuracy in a Large Cohort of People
with Type 1 or Type 2 Diabetes |
title_full_unstemmed | Post-Market Surveillance of a Blood Glucose Test Strip Demonstrates
No Evidence of Interference on Clinical Accuracy in a Large Cohort of People
with Type 1 or Type 2 Diabetes |
title_short | Post-Market Surveillance of a Blood Glucose Test Strip Demonstrates
No Evidence of Interference on Clinical Accuracy in a Large Cohort of People
with Type 1 or Type 2 Diabetes |
title_sort | post-market surveillance of a blood glucose test strip demonstrates
no evidence of interference on clinical accuracy in a large cohort of people
with type 1 or type 2 diabetes |
topic | Original Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9846393/ https://www.ncbi.nlm.nih.gov/pubmed/34486429 http://dx.doi.org/10.1177/19322968211042352 |
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