Glycated Hemoglobin Measurement: Comparison of Three Methods Versus High Performance Liquid Chromatography
Background: HbA1c result provide information on metabolic control in diabetes mellitus (DM) and could also be used for its diagnosis. For its determination, the laboratory must be certified by the National Glycohemoglobin Standardization Program (NGSP) or the International Federation of Clinical Che...
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Published in | Journal of diabetes science and technology Vol. 16; no. 3; pp. 724 - 731 |
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Main Authors | , , , , , , , , , , |
Format | Journal Article |
Language | English |
Published |
Los Angeles, CA
SAGE Publications
01.05.2022
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Subjects | |
Online Access | Get full text |
ISSN | 1932-2968 1932-3107 |
DOI | 10.1177/1932296821997179 |
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Abstract | Background:
HbA1c result provide information on metabolic control in diabetes mellitus (DM) and could also be used for its diagnosis. For its determination, the laboratory must be certified by the National Glycohemoglobin Standardization Program (NGSP) or the International Federation of Clinical Chemistry (IFCC) and comply with a strict quality control program.
Aims:
To determine the correlation and agreement between HbA1c results measured by three analytical methods (enzymatic, turbidimetric, and capillary electrophoresis) versus HPLC.
Methods:
Method comparison—1245 samples from equal number of subjects at 45 Association of High Complexity Laboratories (Asociación de Laboratorios de Alta Complejidad—ALAC) centers, centralizing sample processing and operator. Statistical analysis—analysis of variance (ANOVA) and nonparametric Friedman ANOVA test for related samples, means, and medians. Correlation and concordance—Pearson’s correlation and linear regression, intraclass correlation coefficient (Passing and Bablock and Bland and Altman).
Results:
The comparison of mean values obtained by the four methods showed statistically significant, but clinically irrelevant, differences: HbA1c by HPLC versus Electrophoresis 0.06% (0.42 mmol/mol) P = .000 (± 1.96 DS -0.070 -0.047), Enzymatic 0.087% (1 mmol/mol) P = .000 (± 1.96 DS 0.077 0.098), Turbidimetric 0.056% (0.38 mmol/mol) P = 0.000 (± 1.96 DS -0.067 -0.044). Their concordance showed intraclass correlation of single measures of 0.982 P < .001 (95% CI 0.987 - 0.9838).
Conclusions:
The three methods present low variability and high correlation versus the HPLC. |
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AbstractList | HbA1c result provide information on metabolic control in diabetes mellitus (DM) and could also be used for its diagnosis. For its determination, the laboratory must be certified by the National Glycohemoglobin Standardization Program (NGSP) or the International Federation of Clinical Chemistry (IFCC) and comply with a strict quality control program.BACKGROUNDHbA1c result provide information on metabolic control in diabetes mellitus (DM) and could also be used for its diagnosis. For its determination, the laboratory must be certified by the National Glycohemoglobin Standardization Program (NGSP) or the International Federation of Clinical Chemistry (IFCC) and comply with a strict quality control program.To determine the correlation and agreement between HbA1c results measured by three analytical methods (enzymatic, turbidimetric, and capillary electrophoresis) versus HPLC.AIMSTo determine the correlation and agreement between HbA1c results measured by three analytical methods (enzymatic, turbidimetric, and capillary electrophoresis) versus HPLC.Method comparison-1245 samples from equal number of subjects at 45 Association of High Complexity Laboratories (Asociación de Laboratorios de Alta Complejidad-ALAC) centers, centralizing sample processing and operator. Statistical analysis-analysis of variance (ANOVA) and nonparametric Friedman ANOVA test for related samples, means, and medians. Correlation and concordance-Pearson's correlation and linear regression, intraclass correlation coefficient (Passing and Bablock and Bland and Altman).METHODSMethod comparison-1245 samples from equal number of subjects at 45 Association of High Complexity Laboratories (Asociación de Laboratorios de Alta Complejidad-ALAC) centers, centralizing sample processing and operator. Statistical analysis-analysis of variance (ANOVA) and nonparametric Friedman ANOVA test for related samples, means, and medians. Correlation and concordance-Pearson's correlation and linear regression, intraclass correlation coefficient (Passing and Bablock and Bland and Altman).The comparison of mean values obtained by the four methods showed statistically significant, but clinically irrelevant, differences: HbA1c by HPLC versus Electrophoresis 0.06% (0.42 mmol/mol) P = .000 (± 1.96 DS -0.070 -0.047), Enzymatic 0.087% (1 mmol/mol) P = .000 (± 1.96 DS 0.077 0.098), Turbidimetric 0.056% (0.38 mmol/mol) P = 0.000 (± 1.96 DS -0.067 -0.044). Their concordance showed intraclass correlation of single measures of 0.982 P < .001 (95% CI 0.987 - 0.9838).RESULTSThe comparison of mean values obtained by the four methods showed statistically significant, but clinically irrelevant, differences: HbA1c by HPLC versus Electrophoresis 0.06% (0.42 mmol/mol) P = .000 (± 1.96 DS -0.070 -0.047), Enzymatic 0.087% (1 mmol/mol) P = .000 (± 1.96 DS 0.077 0.098), Turbidimetric 0.056% (0.38 mmol/mol) P = 0.000 (± 1.96 DS -0.067 -0.044). Their concordance showed intraclass correlation of single measures of 0.982 P < .001 (95% CI 0.987 - 0.9838).The three methods present low variability and high correlation versus the HPLC.CONCLUSIONSThe three methods present low variability and high correlation versus the HPLC. HbA1c result provide information on metabolic control in diabetes mellitus (DM) and could also be used for its diagnosis. For its determination, the laboratory must be certified by the National Glycohemoglobin Standardization Program (NGSP) or the International Federation of Clinical Chemistry (IFCC) and comply with a strict quality control program. To determine the correlation and agreement between HbA1c results measured by three analytical methods (enzymatic, turbidimetric, and capillary electrophoresis) versus HPLC. Method comparison-1245 samples from equal number of subjects at 45 Association of High Complexity Laboratories (Asociación de Laboratorios de Alta Complejidad-ALAC) centers, centralizing sample processing and operator. Statistical analysis-analysis of variance (ANOVA) and nonparametric Friedman ANOVA test for related samples, means, and medians. Correlation and concordance-Pearson's correlation and linear regression, intraclass correlation coefficient (Passing and Bablock and Bland and Altman). The comparison of mean values obtained by the four methods showed statistically significant, but clinically irrelevant, differences: HbA1c by HPLC versus Electrophoresis 0.06% (0.42 mmol/mol) = .000 (± 1.96 DS -0.070 -0.047), Enzymatic 0.087% (1 mmol/mol) = .000 (± 1.96 DS 0.077 0.098), Turbidimetric 0.056% (0.38 mmol/mol) = 0.000 (± 1.96 DS -0.067 -0.044). Their concordance showed intraclass correlation of single measures of 0.982 < .001 (95% CI 0.987 - 0.9838). The three methods present low variability and high correlation versus the HPLC. Background: HbA1c result provide information on metabolic control in diabetes mellitus (DM) and could also be used for its diagnosis. For its determination, the laboratory must be certified by the National Glycohemoglobin Standardization Program (NGSP) or the International Federation of Clinical Chemistry (IFCC) and comply with a strict quality control program. Aims: To determine the correlation and agreement between HbA1c results measured by three analytical methods (enzymatic, turbidimetric, and capillary electrophoresis) versus HPLC. Methods: Method comparison—1245 samples from equal number of subjects at 45 Association of High Complexity Laboratories (Asociación de Laboratorios de Alta Complejidad—ALAC) centers, centralizing sample processing and operator. Statistical analysis—analysis of variance (ANOVA) and nonparametric Friedman ANOVA test for related samples, means, and medians. Correlation and concordance—Pearson’s correlation and linear regression, intraclass correlation coefficient (Passing and Bablock and Bland and Altman). Results: The comparison of mean values obtained by the four methods showed statistically significant, but clinically irrelevant, differences: HbA1c by HPLC versus Electrophoresis 0.06% (0.42 mmol/mol) P = .000 (± 1.96 DS -0.070 -0.047), Enzymatic 0.087% (1 mmol/mol) P = .000 (± 1.96 DS 0.077 0.098), Turbidimetric 0.056% (0.38 mmol/mol) P = 0.000 (± 1.96 DS -0.067 -0.044). Their concordance showed intraclass correlation of single measures of 0.982 P < .001 (95% CI 0.987 - 0.9838). Conclusions: The three methods present low variability and high correlation versus the HPLC. |
Author | Martínez, Alfredo Monaco, Luis Frusti, Mauro Chaila, María Zulema Simesen de Bielke, María Gabriela Gagliardino, Juan José Viniegra, Matías Buso, Carlos Commendatore, Víctor Francisco Salgado, Pablo Gonzalez, Claudio Daniel |
AuthorAffiliation | 1 On behalf of the Association of High Complexity Laboratories (Asociación de Laboratorios de Alta Complejidad - ALAC) Study Group, CABA Argentina 4 Instituto de Investigaciones en Salud Publica, Universidad de Buenos Aires, CABA Argentina 2 On behalf of the Argentine Diabetes Society (Sociedad Argentina de Diabetes - SAD), CABA Argentina 3 Biochemist Technical Director of BAIRESLAB, CABA Argentina |
AuthorAffiliation_xml | – name: 2 On behalf of the Argentine Diabetes Society (Sociedad Argentina de Diabetes - SAD), CABA Argentina – name: 3 Biochemist Technical Director of BAIRESLAB, CABA Argentina – name: 4 Instituto de Investigaciones en Salud Publica, Universidad de Buenos Aires, CABA Argentina – name: 1 On behalf of the Association of High Complexity Laboratories (Asociación de Laboratorios de Alta Complejidad - ALAC) Study Group, CABA Argentina |
Author_xml | – sequence: 1 givenname: María Zulema orcidid: 0000-0001-8577-8417 surname: Chaila fullname: Chaila, María Zulema – sequence: 2 givenname: Matías surname: Viniegra fullname: Viniegra, Matías – sequence: 3 givenname: Juan José surname: Gagliardino fullname: Gagliardino, Juan José – sequence: 4 givenname: Alfredo surname: Martínez fullname: Martínez, Alfredo – sequence: 5 givenname: María Gabriela surname: Simesen de Bielke fullname: Simesen de Bielke, María Gabriela – sequence: 6 givenname: Mauro surname: Frusti fullname: Frusti, Mauro – sequence: 7 givenname: Luis surname: Monaco fullname: Monaco, Luis – sequence: 8 givenname: Pablo surname: Salgado fullname: Salgado, Pablo – sequence: 9 givenname: Carlos surname: Buso fullname: Buso, Carlos – sequence: 10 givenname: Claudio Daniel surname: Gonzalez fullname: Gonzalez, Claudio Daniel – sequence: 11 givenname: Víctor Francisco orcidid: 0000-0002-1757-5690 surname: Commendatore fullname: Commendatore, Víctor Francisco |
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Cites_doi | 10.2337/dc11-9998 10.1373/clinchem.2018.296962 10.1007/s11695-010-0335-4 10.2337/dc10-S011 10.2337/dc19-S002 10.1056/NEJM199309303291401 10.2337/dc09-1366 10.1373/clinchem.2010.148841 10.1373/clinchem.2014.235333 10.1177/193229680900300307 10.1016/j.numecd.2011.04.009 10.2337/dc14-2459 10.2337/dc09-9033 10.1177/0004563214568872 10.1161/CIRCULATIONAHA.106.658948 |
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References | 2010; 33 Little, Rohlfing, Sacks 2011; 57 2009; 32 2019; 42 Little, Roberts 2009; 3 Nguyen, Nguyen, Lane, Wang 2011; 21 Nathan, Genuth, Lachin 1993; 329 Kramer, Araneta, Barrett-Connor 2010; 33 Weykamp, John, Gillery 2015; 61 Nitta, Yamashiro, Hattori, Ezumi, Nishioka, Nakamura 2015; 52 Fox, Coady, Sorlie 2007; 115 Sacks, Arnold, Bakris 2011; 34 Herman, Ye, Griffin 2015; 38 Marini, Succurro, Arturi 2012; 22 Little, Rohlfing, Sacks 2019; 65 bibr14-1932296821997179 bibr8-1932296821997179 bibr5-1932296821997179 bibr1-1932296821997179 bibr3-1932296821997179 bibr6-1932296821997179 bibr11-1932296821997179 bibr15-1932296821997179 bibr9-1932296821997179 bibr13-1932296821997179 bibr10-1932296821997179 bibr4-1932296821997179 bibr2-1932296821997179 bibr12-1932296821997179 bibr7-1932296821997179 bibr16-1932296821997179 |
References_xml | – volume: 22 start-page: 561 year: 2012 end-page: 566 article-title: Comparison of A1C, fasting and 2-h post-load plasma glucose criteria to diagnose diabetes in Italian Caucasians publication-title: Nutr Metab Cardiovasc Dis – volume: 115 start-page: 1544 year: 2007 end-page: 1550 article-title: Increasing cardiovascular disease burden due to diabetes mellitus: the Framingham Heart Study publication-title: Circulation – volume: 33 start-page: 101 year: 2010 end-page: 103 article-title: A1C and diabetes diagnosis: the Rancho Bernardo Study publication-title: Diabetes Care – volume: 33 start-page: S11 year: 2010 end-page: S61 article-title: Standards of medical care in diabetes—2010 publication-title: Diabetes Care – volume: 52 start-page: 569 year: 2015 end-page: 575 article-title: The interference by HbF on HbA1c (BM Test HbA1c) measurement in enzymatic method publication-title: Ann Clin Biochem – volume: 42 start-page: S13 year: 2019 end-page: S28 article-title: 2. Classification and diagnosis of diabetes: standards of medical care in diabetes-2019 publication-title: Diabetes Care – volume: 61 start-page: 752 year: 2015 end-page: 759 article-title: IFCC Task Force on Implementation of HbA1c Standardization. Investigation of 2 models to set and evaluate quality targets for HbA1c: biological variation and sigma-metrics publication-title: Clin Chem – volume: 57 start-page: 205 year: 2011 end-page: 214 article-title: National Glycohemoglobin Standardization Program (NGSP) Steering Committee. Status of hemoglobin A1c measurement and goals for improvement: from chaos to order for improving diabetes care publication-title: Clin Chem – volume: 21 start-page: 351 year: 2011 end-page: 355 article-title: Relationship between obesity and diabetes in a US adult population: findings from the National Health and Nutrition Examination Survey, 1999-2006 publication-title: Obes Surg – volume: 3 start-page: 446 year: 2009 end-page: 451 article-title: A review of variant hemoglobins interfering with hemoglobin A1c measurement publication-title: J Diabetes Sci Technol – volume: 32 start-page: 1327 year: 2009 end-page: 1334 article-title: International Expert Committee report on the role of the A1C assay in the diagnosis of diabetes publication-title: Diabetes Care – volume: 38 start-page: 1449 year: 2015 end-page: 1455 article-title: Early detection and treatment of type 2 diabetes reduce cardiovascular morbidity and mortality: a simulation of the results of the Anglo-Danish-Dutch study of intensive treatment in people with screen-detected diabetes in primary care (ADDITION-Europe) publication-title: Diabetes Care – volume: 329 start-page: 977 year: 1993 end-page: 986 article-title: The effect of intensive treatment of diabetes on the development and progression of long-term complications in insulin-dependent diabetes mellitus publication-title: N Engl J Med – volume: 34 start-page: e61 year: 2011 end-page: 99 article-title: National Academy of Clinical Biochemistry; Evidence-Based Laboratory Medicine Committee of the American Association for Clinical Chemistry. Guidelines and recommendations for laboratory analysis in the diagnosis and management of diabetes mellitus publication-title: Diabetes Care – volume: 65 start-page: 839 year: 2019 end-page: 848 article-title: The national glycohemoglobin standardization program: over 20 Years of Improving Hemoglobin A1c Measurement publication-title: Clin Chem – ident: bibr13-1932296821997179 doi: 10.2337/dc11-9998 – ident: bibr14-1932296821997179 doi: 10.1373/clinchem.2018.296962 – ident: bibr2-1932296821997179 doi: 10.1007/s11695-010-0335-4 – ident: bibr5-1932296821997179 doi: 10.2337/dc10-S011 – ident: bibr4-1932296821997179 doi: 10.2337/dc19-S002 – ident: bibr11-1932296821997179 doi: 10.1056/NEJM199309303291401 – ident: bibr8-1932296821997179 doi: 10.2337/dc09-1366 – ident: bibr10-1932296821997179 doi: 10.1373/clinchem.2010.148841 – ident: bibr12-1932296821997179 doi: 10.1373/clinchem.2014.235333 – ident: bibr15-1932296821997179 doi: 10.1177/193229680900300307 – ident: bibr9-1932296821997179 doi: 10.1016/j.numecd.2011.04.009 – ident: bibr3-1932296821997179 doi: 10.2337/dc14-2459 – ident: bibr6-1932296821997179 doi: 10.2337/dc09-9033 – ident: bibr16-1932296821997179 doi: 10.1177/0004563214568872 – ident: bibr1-1932296821997179 doi: 10.1161/CIRCULATIONAHA.106.658948 – ident: bibr7-1932296821997179 |
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Snippet | Background:
HbA1c result provide information on metabolic control in diabetes mellitus (DM) and could also be used for its diagnosis. For its determination,... HbA1c result provide information on metabolic control in diabetes mellitus (DM) and could also be used for its diagnosis. For its determination, the laboratory... |
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Title | Glycated Hemoglobin Measurement: Comparison of Three Methods Versus High Performance Liquid Chromatography |
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