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Performance of the Freestyle Libre flash glucose monitoring (flash GM) system in individuals with type 1 diabetes: A secondary outcome analysis of a randomized crossover trial
Diabetes, Obesity and Metabolism, Volume: 21, Issue: 11, Pages: 2505 - 2512
Swansea University Authors: Othmar Moser, Max Eckstein, Olivia McCarthy, Rachel Deere, Jason Pitt, Steve Bain , Richard Bracken
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DOI (Published version): 10.1111/dom.13835
Abstract
AimsThe efficacy of flash glucose monitoring (flash GM) systems has been demonstrated by improvements in glycaemia; however, during high rates of glucose flux, the performance of continuous glucose monitoring systems was impaired, as detailed in previous studies. This study aimed to determine the pe...
Published in: | Diabetes, Obesity and Metabolism |
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ISSN: | 1462-8902 1463-1326 |
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Wiley
2019
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URI: | https://cronfa.swan.ac.uk/Record/cronfa51468 |
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<?xml version="1.0"?><rfc1807><datestamp>2022-12-02T19:00:11.2383009</datestamp><bib-version>v2</bib-version><id>51468</id><entry>2019-08-19</entry><title>Performance of the Freestyle Libre flash glucose monitoring (flash GM) system in individuals with type 1 diabetes: A secondary outcome analysis of a randomized crossover trial</title><swanseaauthors><author><sid>3b249efea402d5413effa1e67f31bdfa</sid><firstname>Othmar</firstname><surname>Moser</surname><name>Othmar Moser</name><active>true</active><ethesisStudent>false</ethesisStudent></author><author><sid>88e3800018f862425765f3e36da8de30</sid><firstname>Max</firstname><surname>Eckstein</surname><name>Max Eckstein</name><active>true</active><ethesisStudent>false</ethesisStudent></author><author><sid>4fea3e19b39712dea1d051d317614572</sid><firstname>Olivia</firstname><surname>McCarthy</surname><name>Olivia McCarthy</name><active>true</active><ethesisStudent>false</ethesisStudent></author><author><sid>3fd2ee8d0217f8487c472f52ba7c6b0a</sid><firstname>Rachel</firstname><surname>Deere</surname><name>Rachel Deere</name><active>true</active><ethesisStudent>false</ethesisStudent></author><author><sid>0103027605e3ccd2909f4170d9d2c96f</sid><firstname>Jason</firstname><surname>Pitt</surname><name>Jason Pitt</name><active>true</active><ethesisStudent>false</ethesisStudent></author><author><sid>5399f4c6e6a70f3608a084ddb938511a</sid><ORCID>0000-0001-8519-4964</ORCID><firstname>Steve</firstname><surname>Bain</surname><name>Steve Bain</name><active>true</active><ethesisStudent>false</ethesisStudent></author><author><sid>f5da81cd18adfdedb2ccb845bddc12f7</sid><ORCID>0000-0002-6986-6449</ORCID><firstname>Richard</firstname><surname>Bracken</surname><name>Richard Bracken</name><active>true</active><ethesisStudent>false</ethesisStudent></author></swanseaauthors><date>2019-08-19</date><deptcode>STSC</deptcode><abstract>AimsThe efficacy of flash glucose monitoring (flash GM) systems has been demonstrated by improvements in glycaemia; however, during high rates of glucose flux, the performance of continuous glucose monitoring systems was impaired, as detailed in previous studies. This study aimed to determine the performance of the flash GM system during daily‐life glycaemic challenges such as carbohydrate‐rich meals, bolus insulin‐induced glycaemic disturbances and acute physical exercise in individuals with type 1 diabetes.Materials and methodsThis study comprised four randomized trial visits with alternating pre‐ and post‐exercise bolus insulin doses. Throughout the four 14‐hour inpatient phases, 19 participants received three carbohydrate‐rich meals and performed moderate‐intensity exercise. Venous blood glucose and capillary blood glucose during exercise was compared to interstitial glucose concentrations. Flash GM accuracy was assessed by median absolute relative difference (MARD) (interquartile range [IQR]) using the Bland–Altman method and Clark error grid, as well as according to guidelines for integrated CGM approvals (Class II–510(K)).ResultsThe overall MARD (IQR) during inpatient phases was 14.3% (6.9%–22.8%), during hypoglycaemia (≤3.9 mmol/L) was 31.6% (16.2%–46.8%), during euglycaemia (4.0 mmol/L − 9.9 mmol/L) was 16.0% (8.5%–24.0%) and during hyperglycaemia (≥10 mmol/L) was 9.4% (5.1%–15.7%). Overall Bland–Altman analysis showed a bias (95% LoA) of 1.26 mmol/L (−1.67 to 4.19 mmol/L). The overall MARD during acute exercise was 29.8% (17.5%–39.8%), during hypoglycaemia was 45.1% (35.2%–51.1%), during euglycaemia was 30.7% (18.7%–39.2%) and during hyperglycaemia was 16.3% (10.0%–22.8%).ConclusionFlash GM interstitial glucose readings were not sufficiently accurate within the hypoglycaemic range and during acute exercise and require confirmatory blood glucose measurements.</abstract><type>Journal Article</type><journal>Diabetes, Obesity and Metabolism</journal><volume>21</volume><journalNumber>11</journalNumber><paginationStart>2505</paginationStart><paginationEnd>2512</paginationEnd><publisher>Wiley</publisher><placeOfPublication/><isbnPrint/><isbnElectronic/><issnPrint>1462-8902</issnPrint><issnElectronic>1463-1326</issnElectronic><keywords/><publishedDay>1</publishedDay><publishedMonth>11</publishedMonth><publishedYear>2019</publishedYear><publishedDate>2019-11-01</publishedDate><doi>10.1111/dom.13835</doi><url/><notes/><college>COLLEGE NANME</college><department>Sport and Exercise Sciences</department><CollegeCode>COLLEGE CODE</CollegeCode><DepartmentCode>STSC</DepartmentCode><institution>Swansea University</institution><apcterm/><funders/><projectreference/><lastEdited>2022-12-02T19:00:11.2383009</lastEdited><Created>2019-08-19T10:23:28.9268340</Created><path><level id="1">Faculty of Science and Engineering</level><level id="2">School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Sport and Exercise Sciences</level></path><authors><author><firstname>Othmar</firstname><surname>Moser</surname><order>1</order></author><author><firstname>Max</firstname><surname>Eckstein</surname><order>2</order></author><author><firstname>Olivia</firstname><surname>McCarthy</surname><order>3</order></author><author><firstname>Rachel</firstname><surname>Deere</surname><order>4</order></author><author><firstname>Jason</firstname><surname>Pitt</surname><order>5</order></author><author><firstname>David M.</firstname><surname>Williams</surname><order>6</order></author><author><firstname>Jennifer</firstname><surname>Hayes</surname><order>7</order></author><author><firstname>Harald</firstname><surname>Sourij</surname><orcid>0000-0003-3510-9594</orcid><order>8</order></author><author><firstname>Steve</firstname><surname>Bain</surname><orcid>0000-0001-8519-4964</orcid><order>9</order></author><author><firstname>Richard</firstname><surname>Bracken</surname><orcid>0000-0002-6986-6449</orcid><order>10</order></author></authors><documents><document><filename>51468__15045__7d95c17fc8ea4ce8a95cbd9d3817c5b5.pdf</filename><originalFilename>moser2019(5).pdf</originalFilename><uploaded>2019-08-19T10:25:40.1100000</uploaded><type>Output</type><contentLength>1068966</contentLength><contentType>application/pdf</contentType><version>Version of Record</version><cronfaStatus>true</cronfaStatus><embargoDate>2019-08-19T00:00:00.0000000</embargoDate><documentNotes>Distributed under the terms of a Creative Commons Attribution (CC-BY-4.0)</documentNotes><copyrightCorrect>true</copyrightCorrect><language>eng</language></document></documents><OutputDurs/></rfc1807> |
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2022-12-02T19:00:11.2383009 v2 51468 2019-08-19 Performance of the Freestyle Libre flash glucose monitoring (flash GM) system in individuals with type 1 diabetes: A secondary outcome analysis of a randomized crossover trial 3b249efea402d5413effa1e67f31bdfa Othmar Moser Othmar Moser true false 88e3800018f862425765f3e36da8de30 Max Eckstein Max Eckstein true false 4fea3e19b39712dea1d051d317614572 Olivia McCarthy Olivia McCarthy true false 3fd2ee8d0217f8487c472f52ba7c6b0a Rachel Deere Rachel Deere true false 0103027605e3ccd2909f4170d9d2c96f Jason Pitt Jason Pitt true false 5399f4c6e6a70f3608a084ddb938511a 0000-0001-8519-4964 Steve Bain Steve Bain true false f5da81cd18adfdedb2ccb845bddc12f7 0000-0002-6986-6449 Richard Bracken Richard Bracken true false 2019-08-19 STSC AimsThe efficacy of flash glucose monitoring (flash GM) systems has been demonstrated by improvements in glycaemia; however, during high rates of glucose flux, the performance of continuous glucose monitoring systems was impaired, as detailed in previous studies. This study aimed to determine the performance of the flash GM system during daily‐life glycaemic challenges such as carbohydrate‐rich meals, bolus insulin‐induced glycaemic disturbances and acute physical exercise in individuals with type 1 diabetes.Materials and methodsThis study comprised four randomized trial visits with alternating pre‐ and post‐exercise bolus insulin doses. Throughout the four 14‐hour inpatient phases, 19 participants received three carbohydrate‐rich meals and performed moderate‐intensity exercise. Venous blood glucose and capillary blood glucose during exercise was compared to interstitial glucose concentrations. Flash GM accuracy was assessed by median absolute relative difference (MARD) (interquartile range [IQR]) using the Bland–Altman method and Clark error grid, as well as according to guidelines for integrated CGM approvals (Class II–510(K)).ResultsThe overall MARD (IQR) during inpatient phases was 14.3% (6.9%–22.8%), during hypoglycaemia (≤3.9 mmol/L) was 31.6% (16.2%–46.8%), during euglycaemia (4.0 mmol/L − 9.9 mmol/L) was 16.0% (8.5%–24.0%) and during hyperglycaemia (≥10 mmol/L) was 9.4% (5.1%–15.7%). Overall Bland–Altman analysis showed a bias (95% LoA) of 1.26 mmol/L (−1.67 to 4.19 mmol/L). The overall MARD during acute exercise was 29.8% (17.5%–39.8%), during hypoglycaemia was 45.1% (35.2%–51.1%), during euglycaemia was 30.7% (18.7%–39.2%) and during hyperglycaemia was 16.3% (10.0%–22.8%).ConclusionFlash GM interstitial glucose readings were not sufficiently accurate within the hypoglycaemic range and during acute exercise and require confirmatory blood glucose measurements. Journal Article Diabetes, Obesity and Metabolism 21 11 2505 2512 Wiley 1462-8902 1463-1326 1 11 2019 2019-11-01 10.1111/dom.13835 COLLEGE NANME Sport and Exercise Sciences COLLEGE CODE STSC Swansea University 2022-12-02T19:00:11.2383009 2019-08-19T10:23:28.9268340 Faculty of Science and Engineering School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Sport and Exercise Sciences Othmar Moser 1 Max Eckstein 2 Olivia McCarthy 3 Rachel Deere 4 Jason Pitt 5 David M. Williams 6 Jennifer Hayes 7 Harald Sourij 0000-0003-3510-9594 8 Steve Bain 0000-0001-8519-4964 9 Richard Bracken 0000-0002-6986-6449 10 51468__15045__7d95c17fc8ea4ce8a95cbd9d3817c5b5.pdf moser2019(5).pdf 2019-08-19T10:25:40.1100000 Output 1068966 application/pdf Version of Record true 2019-08-19T00:00:00.0000000 Distributed under the terms of a Creative Commons Attribution (CC-BY-4.0) true eng |
title |
Performance of the Freestyle Libre flash glucose monitoring (flash GM) system in individuals with type 1 diabetes: A secondary outcome analysis of a randomized crossover trial |
spellingShingle |
Performance of the Freestyle Libre flash glucose monitoring (flash GM) system in individuals with type 1 diabetes: A secondary outcome analysis of a randomized crossover trial Othmar Moser Max Eckstein Olivia McCarthy Rachel Deere Jason Pitt Steve Bain Richard Bracken |
title_short |
Performance of the Freestyle Libre flash glucose monitoring (flash GM) system in individuals with type 1 diabetes: A secondary outcome analysis of a randomized crossover trial |
title_full |
Performance of the Freestyle Libre flash glucose monitoring (flash GM) system in individuals with type 1 diabetes: A secondary outcome analysis of a randomized crossover trial |
title_fullStr |
Performance of the Freestyle Libre flash glucose monitoring (flash GM) system in individuals with type 1 diabetes: A secondary outcome analysis of a randomized crossover trial |
title_full_unstemmed |
Performance of the Freestyle Libre flash glucose monitoring (flash GM) system in individuals with type 1 diabetes: A secondary outcome analysis of a randomized crossover trial |
title_sort |
Performance of the Freestyle Libre flash glucose monitoring (flash GM) system in individuals with type 1 diabetes: A secondary outcome analysis of a randomized crossover trial |
author_id_str_mv |
3b249efea402d5413effa1e67f31bdfa 88e3800018f862425765f3e36da8de30 4fea3e19b39712dea1d051d317614572 3fd2ee8d0217f8487c472f52ba7c6b0a 0103027605e3ccd2909f4170d9d2c96f 5399f4c6e6a70f3608a084ddb938511a f5da81cd18adfdedb2ccb845bddc12f7 |
author_id_fullname_str_mv |
3b249efea402d5413effa1e67f31bdfa_***_Othmar Moser 88e3800018f862425765f3e36da8de30_***_Max Eckstein 4fea3e19b39712dea1d051d317614572_***_Olivia McCarthy 3fd2ee8d0217f8487c472f52ba7c6b0a_***_Rachel Deere 0103027605e3ccd2909f4170d9d2c96f_***_Jason Pitt 5399f4c6e6a70f3608a084ddb938511a_***_Steve Bain f5da81cd18adfdedb2ccb845bddc12f7_***_Richard Bracken |
author |
Othmar Moser Max Eckstein Olivia McCarthy Rachel Deere Jason Pitt Steve Bain Richard Bracken |
author2 |
Othmar Moser Max Eckstein Olivia McCarthy Rachel Deere Jason Pitt David M. Williams Jennifer Hayes Harald Sourij Steve Bain Richard Bracken |
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Journal article |
container_title |
Diabetes, Obesity and Metabolism |
container_volume |
21 |
container_issue |
11 |
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2505 |
publishDate |
2019 |
institution |
Swansea University |
issn |
1462-8902 1463-1326 |
doi_str_mv |
10.1111/dom.13835 |
publisher |
Wiley |
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Faculty of Science and Engineering |
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Faculty of Science and Engineering |
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Faculty of Science and Engineering |
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School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Sport and Exercise Sciences{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Sport and Exercise Sciences |
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description |
AimsThe efficacy of flash glucose monitoring (flash GM) systems has been demonstrated by improvements in glycaemia; however, during high rates of glucose flux, the performance of continuous glucose monitoring systems was impaired, as detailed in previous studies. This study aimed to determine the performance of the flash GM system during daily‐life glycaemic challenges such as carbohydrate‐rich meals, bolus insulin‐induced glycaemic disturbances and acute physical exercise in individuals with type 1 diabetes.Materials and methodsThis study comprised four randomized trial visits with alternating pre‐ and post‐exercise bolus insulin doses. Throughout the four 14‐hour inpatient phases, 19 participants received three carbohydrate‐rich meals and performed moderate‐intensity exercise. Venous blood glucose and capillary blood glucose during exercise was compared to interstitial glucose concentrations. Flash GM accuracy was assessed by median absolute relative difference (MARD) (interquartile range [IQR]) using the Bland–Altman method and Clark error grid, as well as according to guidelines for integrated CGM approvals (Class II–510(K)).ResultsThe overall MARD (IQR) during inpatient phases was 14.3% (6.9%–22.8%), during hypoglycaemia (≤3.9 mmol/L) was 31.6% (16.2%–46.8%), during euglycaemia (4.0 mmol/L − 9.9 mmol/L) was 16.0% (8.5%–24.0%) and during hyperglycaemia (≥10 mmol/L) was 9.4% (5.1%–15.7%). Overall Bland–Altman analysis showed a bias (95% LoA) of 1.26 mmol/L (−1.67 to 4.19 mmol/L). The overall MARD during acute exercise was 29.8% (17.5%–39.8%), during hypoglycaemia was 45.1% (35.2%–51.1%), during euglycaemia was 30.7% (18.7%–39.2%) and during hyperglycaemia was 16.3% (10.0%–22.8%).ConclusionFlash GM interstitial glucose readings were not sufficiently accurate within the hypoglycaemic range and during acute exercise and require confirmatory blood glucose measurements. |
published_date |
2019-11-01T04:03:22Z |
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1763753278493949952 |
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11.036706 |