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Defining the relationship between average glucose and HbA1c in patients with type 2 diabetes and chronic kidney disease
Abstract Aims To examine the relationship between average glucose (AG) and HbA1c in patients with and without chronic kidney disease (CKD) and type 2 diabetes. Materials and methods 43 patients with diabetes and CKD (stages 3–5) with stable glycaemic control, and glucose-lowering and erythropoiesis...
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Published in: | Diabetes research and clinical practice 2014-04, Vol.104 (1), p.84-91 |
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description | Abstract Aims To examine the relationship between average glucose (AG) and HbA1c in patients with and without chronic kidney disease (CKD) and type 2 diabetes. Materials and methods 43 patients with diabetes and CKD (stages 3–5) with stable glycaemic control, and glucose-lowering and erythropoiesis stimulating agent (ESA) doses, were prospectively studied for 3 months and compared to 104 age-matched controls with diabetes, without CKD from the ADAG study. Over 3 months, AG was calculated from 7 to 8 point self-monitored blood glucose measurements (SMBG) and from continuous glucose monitoring (CGMS), and mean HbA1c was calculated from 4 measurements. AG and HbA1c relationships were determined using multivariable linear regression analyses. Results The CKD and non-CKD groups were well matched for age and gender. Mean AG tended to be higher ( p = 0.08) but HbA1c levels were similar ( p = 0.68) in the CKD compared with non-CKD groups. A linear relationship between AG and HbA1c was observed irrespective of the presence and stage of CKD. The relationship was weaker in patients with stage 4–5 CKD (non-CKD R2 = 0.75, stage 3 CKD R2 = 0.79 and stage 4–5 CKD R2 = 0.34, all p < 0.01). The inclusion of ESA use in the model rendered the effect of CKD stage insignificant ( R2 = 0.67, p < 0.01). Conclusions In patients with type 2 diabetes and CKD there is a linear relationship between HbA1c and AG that is attenuated by ESA use, suggesting that ESA results in a systematic underestimation of AG derived from HbA1c. |
doi_str_mv | 10.1016/j.diabres.2014.01.020 |
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Materials and methods 43 patients with diabetes and CKD (stages 3–5) with stable glycaemic control, and glucose-lowering and erythropoiesis stimulating agent (ESA) doses, were prospectively studied for 3 months and compared to 104 age-matched controls with diabetes, without CKD from the ADAG study. Over 3 months, AG was calculated from 7 to 8 point self-monitored blood glucose measurements (SMBG) and from continuous glucose monitoring (CGMS), and mean HbA1c was calculated from 4 measurements. AG and HbA1c relationships were determined using multivariable linear regression analyses. Results The CKD and non-CKD groups were well matched for age and gender. Mean AG tended to be higher ( p = 0.08) but HbA1c levels were similar ( p = 0.68) in the CKD compared with non-CKD groups. A linear relationship between AG and HbA1c was observed irrespective of the presence and stage of CKD. The relationship was weaker in patients with stage 4–5 CKD (non-CKD R2 = 0.75, stage 3 CKD R2 = 0.79 and stage 4–5 CKD R2 = 0.34, all p < 0.01). The inclusion of ESA use in the model rendered the effect of CKD stage insignificant ( R2 = 0.67, p < 0.01). Conclusions In patients with type 2 diabetes and CKD there is a linear relationship between HbA1c and AG that is attenuated by ESA use, suggesting that ESA results in a systematic underestimation of AG derived from HbA1c.</description><identifier>ISSN: 0168-8227</identifier><identifier>EISSN: 1872-8227</identifier><identifier>DOI: 10.1016/j.diabres.2014.01.020</identifier><identifier>PMID: 24573088</identifier><language>eng</language><publisher>Ireland: Elsevier Ireland Ltd</publisher><subject>Adolescent ; Adult ; Aged ; Aged, 80 and over ; Biomarkers - blood ; Blood Glucose - metabolism ; Blood Glucose Self-Monitoring - methods ; Chronic kidney disease ; Diabetes mellitus ; Diabetes Mellitus, Type 2 - blood ; Diabetes Mellitus, Type 2 - complications ; Endocrinology & Metabolism ; Erythropoietin stimulating agent ; Female ; Follow-Up Studies ; Glycated haemoglobin ; Glycated Hemoglobin A - metabolism ; Humans ; Male ; Middle Aged ; Prospective Studies ; Renal Insufficiency, Chronic - blood ; Renal Insufficiency, Chronic - complications ; Young Adult</subject><ispartof>Diabetes research and clinical practice, 2014-04, Vol.104 (1), p.84-91</ispartof><rights>Elsevier Ireland Ltd</rights><rights>2014 Elsevier Ireland Ltd</rights><rights>Copyright © 2014 Elsevier Ireland Ltd. All rights reserved.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c420t-b776ad8eea60bf583b38b80be3ac9dd81ab6c9c916402b88f7223c8338728caa3</citedby><cites>FETCH-LOGICAL-c420t-b776ad8eea60bf583b38b80be3ac9dd81ab6c9c916402b88f7223c8338728caa3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,27901,27902</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/24573088$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Lo, Clement</creatorcontrib><creatorcontrib>Lui, Michelle</creatorcontrib><creatorcontrib>Ranasinha, Sanjeeva</creatorcontrib><creatorcontrib>Teede, Helena J</creatorcontrib><creatorcontrib>Kerr, Peter G</creatorcontrib><creatorcontrib>Polkinghorne, Kevan R</creatorcontrib><creatorcontrib>Nathan, David M</creatorcontrib><creatorcontrib>Zheng, Hui</creatorcontrib><creatorcontrib>Zoungas, Sophia</creatorcontrib><title>Defining the relationship between average glucose and HbA1c in patients with type 2 diabetes and chronic kidney disease</title><title>Diabetes research and clinical practice</title><addtitle>Diabetes Res Clin Pract</addtitle><description>Abstract Aims To examine the relationship between average glucose (AG) and HbA1c in patients with and without chronic kidney disease (CKD) and type 2 diabetes. Materials and methods 43 patients with diabetes and CKD (stages 3–5) with stable glycaemic control, and glucose-lowering and erythropoiesis stimulating agent (ESA) doses, were prospectively studied for 3 months and compared to 104 age-matched controls with diabetes, without CKD from the ADAG study. Over 3 months, AG was calculated from 7 to 8 point self-monitored blood glucose measurements (SMBG) and from continuous glucose monitoring (CGMS), and mean HbA1c was calculated from 4 measurements. AG and HbA1c relationships were determined using multivariable linear regression analyses. Results The CKD and non-CKD groups were well matched for age and gender. Mean AG tended to be higher ( p = 0.08) but HbA1c levels were similar ( p = 0.68) in the CKD compared with non-CKD groups. A linear relationship between AG and HbA1c was observed irrespective of the presence and stage of CKD. The relationship was weaker in patients with stage 4–5 CKD (non-CKD R2 = 0.75, stage 3 CKD R2 = 0.79 and stage 4–5 CKD R2 = 0.34, all p < 0.01). The inclusion of ESA use in the model rendered the effect of CKD stage insignificant ( R2 = 0.67, p < 0.01). Conclusions In patients with type 2 diabetes and CKD there is a linear relationship between HbA1c and AG that is attenuated by ESA use, suggesting that ESA results in a systematic underestimation of AG derived from HbA1c.</description><subject>Adolescent</subject><subject>Adult</subject><subject>Aged</subject><subject>Aged, 80 and over</subject><subject>Biomarkers - blood</subject><subject>Blood Glucose - metabolism</subject><subject>Blood Glucose Self-Monitoring - methods</subject><subject>Chronic kidney disease</subject><subject>Diabetes mellitus</subject><subject>Diabetes Mellitus, Type 2 - blood</subject><subject>Diabetes Mellitus, Type 2 - complications</subject><subject>Endocrinology & Metabolism</subject><subject>Erythropoietin stimulating agent</subject><subject>Female</subject><subject>Follow-Up Studies</subject><subject>Glycated haemoglobin</subject><subject>Glycated Hemoglobin A - metabolism</subject><subject>Humans</subject><subject>Male</subject><subject>Middle Aged</subject><subject>Prospective Studies</subject><subject>Renal Insufficiency, Chronic - blood</subject><subject>Renal Insufficiency, Chronic - complications</subject><subject>Young Adult</subject><issn>0168-8227</issn><issn>1872-8227</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2014</creationdate><recordtype>article</recordtype><recordid>eNqFkU1vEzEQhi0EomngJ4B85JJlbO-HcwFVhVKkSj0UzpbtnU2cbryL7W2Uf4-3CRy4cLIlPzPjeV5C3jEoGLD6465onTYBY8GBlQWwAji8IAsmG76SnDcvySJz8vl-QS5j3AFALcrqNbngZdUIkHJBDl-wc975DU1bpAF7ndzg49aN1GA6IHqqnzDoDdJNP9khItW-pbfmilnqPB0zjz5FenBpS9NxRMrp_DNMGJ9Ruw2Dd5Y-utbjMb9F1BHfkFed7iO-PZ9L8vPm64_r29Xd_bfv11d3K1tySCvTNLVuJaKuwXSVFEZII8Gg0HbdtpJpU9u1XbO6BG6k7BrOhZVCZAvSai2W5MOp7xiGXxPGpPYuWux77XGYomIVqxtezmaWpDqhNgwxBuzUGNxeh6NioGbnaqfOztXsXAFT2Xmue38eMZk9tn-r_kjOwOcTgHnRJ4dBRZulWWxdQJtUO7j_jvj0Twfb59Ss7h_xiHE3TMFni4qpyBWohzn4OXeWF4MKhPgNvW-rCw</recordid><startdate>20140401</startdate><enddate>20140401</enddate><creator>Lo, Clement</creator><creator>Lui, Michelle</creator><creator>Ranasinha, Sanjeeva</creator><creator>Teede, Helena J</creator><creator>Kerr, Peter G</creator><creator>Polkinghorne, Kevan R</creator><creator>Nathan, David M</creator><creator>Zheng, Hui</creator><creator>Zoungas, Sophia</creator><general>Elsevier Ireland Ltd</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope></search><sort><creationdate>20140401</creationdate><title>Defining the relationship between average glucose and HbA1c in patients with type 2 diabetes and chronic kidney disease</title><author>Lo, Clement ; Lui, Michelle ; Ranasinha, Sanjeeva ; Teede, Helena J ; Kerr, Peter G ; Polkinghorne, Kevan R ; Nathan, David M ; Zheng, Hui ; Zoungas, Sophia</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c420t-b776ad8eea60bf583b38b80be3ac9dd81ab6c9c916402b88f7223c8338728caa3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2014</creationdate><topic>Adolescent</topic><topic>Adult</topic><topic>Aged</topic><topic>Aged, 80 and over</topic><topic>Biomarkers - blood</topic><topic>Blood Glucose - metabolism</topic><topic>Blood Glucose Self-Monitoring - methods</topic><topic>Chronic kidney disease</topic><topic>Diabetes mellitus</topic><topic>Diabetes Mellitus, Type 2 - blood</topic><topic>Diabetes Mellitus, Type 2 - complications</topic><topic>Endocrinology & Metabolism</topic><topic>Erythropoietin stimulating agent</topic><topic>Female</topic><topic>Follow-Up Studies</topic><topic>Glycated haemoglobin</topic><topic>Glycated Hemoglobin A - metabolism</topic><topic>Humans</topic><topic>Male</topic><topic>Middle Aged</topic><topic>Prospective Studies</topic><topic>Renal Insufficiency, Chronic - blood</topic><topic>Renal Insufficiency, Chronic - complications</topic><topic>Young Adult</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Lo, Clement</creatorcontrib><creatorcontrib>Lui, Michelle</creatorcontrib><creatorcontrib>Ranasinha, Sanjeeva</creatorcontrib><creatorcontrib>Teede, Helena J</creatorcontrib><creatorcontrib>Kerr, Peter G</creatorcontrib><creatorcontrib>Polkinghorne, Kevan R</creatorcontrib><creatorcontrib>Nathan, David M</creatorcontrib><creatorcontrib>Zheng, Hui</creatorcontrib><creatorcontrib>Zoungas, Sophia</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><jtitle>Diabetes research and clinical practice</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Lo, Clement</au><au>Lui, Michelle</au><au>Ranasinha, Sanjeeva</au><au>Teede, Helena J</au><au>Kerr, Peter G</au><au>Polkinghorne, Kevan R</au><au>Nathan, David M</au><au>Zheng, Hui</au><au>Zoungas, Sophia</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Defining the relationship between average glucose and HbA1c in patients with type 2 diabetes and chronic kidney disease</atitle><jtitle>Diabetes research and clinical practice</jtitle><addtitle>Diabetes Res Clin Pract</addtitle><date>2014-04-01</date><risdate>2014</risdate><volume>104</volume><issue>1</issue><spage>84</spage><epage>91</epage><pages>84-91</pages><issn>0168-8227</issn><eissn>1872-8227</eissn><abstract>Abstract Aims To examine the relationship between average glucose (AG) and HbA1c in patients with and without chronic kidney disease (CKD) and type 2 diabetes. Materials and methods 43 patients with diabetes and CKD (stages 3–5) with stable glycaemic control, and glucose-lowering and erythropoiesis stimulating agent (ESA) doses, were prospectively studied for 3 months and compared to 104 age-matched controls with diabetes, without CKD from the ADAG study. Over 3 months, AG was calculated from 7 to 8 point self-monitored blood glucose measurements (SMBG) and from continuous glucose monitoring (CGMS), and mean HbA1c was calculated from 4 measurements. AG and HbA1c relationships were determined using multivariable linear regression analyses. Results The CKD and non-CKD groups were well matched for age and gender. Mean AG tended to be higher ( p = 0.08) but HbA1c levels were similar ( p = 0.68) in the CKD compared with non-CKD groups. A linear relationship between AG and HbA1c was observed irrespective of the presence and stage of CKD. The relationship was weaker in patients with stage 4–5 CKD (non-CKD R2 = 0.75, stage 3 CKD R2 = 0.79 and stage 4–5 CKD R2 = 0.34, all p < 0.01). The inclusion of ESA use in the model rendered the effect of CKD stage insignificant ( R2 = 0.67, p < 0.01). Conclusions In patients with type 2 diabetes and CKD there is a linear relationship between HbA1c and AG that is attenuated by ESA use, suggesting that ESA results in a systematic underestimation of AG derived from HbA1c.</abstract><cop>Ireland</cop><pub>Elsevier Ireland Ltd</pub><pmid>24573088</pmid><doi>10.1016/j.diabres.2014.01.020</doi><tpages>8</tpages></addata></record> |
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subjects | Adolescent Adult Aged Aged, 80 and over Biomarkers - blood Blood Glucose - metabolism Blood Glucose Self-Monitoring - methods Chronic kidney disease Diabetes mellitus Diabetes Mellitus, Type 2 - blood Diabetes Mellitus, Type 2 - complications Endocrinology & Metabolism Erythropoietin stimulating agent Female Follow-Up Studies Glycated haemoglobin Glycated Hemoglobin A - metabolism Humans Male Middle Aged Prospective Studies Renal Insufficiency, Chronic - blood Renal Insufficiency, Chronic - complications Young Adult |
title | Defining the relationship between average glucose and HbA1c in patients with type 2 diabetes and chronic kidney disease |
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