A1C Variability Predicts Incident Cardiovascular Events, Microalbuminuria, and Overt Diabetic Nephropathy in Patients With Type 1 Diabetes

A1C Variability Predicts Incident Cardiovascular Events, Microalbuminuria, and Overt Diabetic Nephropathy in Patients With Type 1 Diabetes Johan Wadén 1 , 2 , Carol Forsblom 1 , 2 , Lena M. Thorn 1 , 2 , Daniel Gordin 1 , 2 , Markku Saraheimo 1 , 2 and Per-Henrik Groop 1 , 2 1 Folkhälsan Institute o...

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Veröffentlicht in:Diabetes (New York, N.Y.) N.Y.), 2009-11, Vol.58 (11), p.2649-2655
Hauptverfasser: WADEN, Johan, FORSBLOM, Carol, THORN, Lena M, GORDIN, Daniel, SARAHEIMO, Markku, GROOP, Per-Henrik
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container_end_page 2655
container_issue 11
container_start_page 2649
container_title Diabetes (New York, N.Y.)
container_volume 58
creator WADEN, Johan
FORSBLOM, Carol
THORN, Lena M
GORDIN, Daniel
SARAHEIMO, Markku
GROOP, Per-Henrik
description A1C Variability Predicts Incident Cardiovascular Events, Microalbuminuria, and Overt Diabetic Nephropathy in Patients With Type 1 Diabetes Johan Wadén 1 , 2 , Carol Forsblom 1 , 2 , Lena M. Thorn 1 , 2 , Daniel Gordin 1 , 2 , Markku Saraheimo 1 , 2 and Per-Henrik Groop 1 , 2 1 Folkhälsan Institute of Genetics, Folkhälsan Research Center, Helsinki, Finland; 2 Department of Medicine, Division of Nephrology, Helsinki University Central Hospital, Helsinki, Finland. Corresponding author: Per-Henrik Groop, per-henrik.groop{at}helsinki.fi . Abstract OBJECTIVE Recent data from the Diabetes Control and Complications Trial (DCCT) indicated that A1C variability is associated with the risk of diabetes microvascular complications. However, these results might have been influenced by the interventional study design. Therefore, we investigated the longitudinal associations between A1C variability and diabetes complications in patients with type 1 diabetes in the observational Finnish Diabetic Nephropathy (FinnDiane) Study. RESEARCH DESIGN AND METHODS A total of 2,107 patients in the FinnDiane Study had complete data on renal status and serial measurements of A1C from baseline to follow-up (median 5.7 years), and 1,845 patients had similar data on cardiovascular disease (CVD) events. Intrapersonal SD of serially measured A1C was considered a measure of variability. RESULTS During follow-up, 10.2% progressed to a higher albuminuria level or to end-stage renal disease, whereas 8.6% had a CVD event. The SD of serial A1C was 1.01 versus 0.75 ( P < 0.001) for renal status and 0.87 versus 0.79 ( P = 0.023) for CVD in progressors versus nonprogressors, respectively. In a Cox regression model, SD of serial A1C was independently associated with progression of renal disease (hazard ratio 1.92 [95% CI 1.49–2.47]) and of a CVD event (1.98 [1.39–2.82]) even when adjusting for mean A1C and traditional risk factors. Interestingly for CVD, mean serial A1C itself was not predictive even though SD of A1C was. CONCLUSIONS In patients with type 1 diabetes, A1C variability was not only predictive of incident microalbuminuria and progression of renal disease but also of incident CVD events. Footnotes The costs of publication of this article were defrayed in part by the payment of page charges. This article must therefore be hereby marked “advertisement” in accordance with 18 U.S.C. Section 1734 solely to indicate this fact. Received May 8, 2009. Accepted July 14, 2009. © 2009 American Diabetes
doi_str_mv 10.2337/db09-0693
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Thorn 1 , 2 , Daniel Gordin 1 , 2 , Markku Saraheimo 1 , 2 and Per-Henrik Groop 1 , 2 1 Folkhälsan Institute of Genetics, Folkhälsan Research Center, Helsinki, Finland; 2 Department of Medicine, Division of Nephrology, Helsinki University Central Hospital, Helsinki, Finland. Corresponding author: Per-Henrik Groop, per-henrik.groop{at}helsinki.fi . Abstract OBJECTIVE Recent data from the Diabetes Control and Complications Trial (DCCT) indicated that A1C variability is associated with the risk of diabetes microvascular complications. However, these results might have been influenced by the interventional study design. Therefore, we investigated the longitudinal associations between A1C variability and diabetes complications in patients with type 1 diabetes in the observational Finnish Diabetic Nephropathy (FinnDiane) Study. RESEARCH DESIGN AND METHODS A total of 2,107 patients in the FinnDiane Study had complete data on renal status and serial measurements of A1C from baseline to follow-up (median 5.7 years), and 1,845 patients had similar data on cardiovascular disease (CVD) events. Intrapersonal SD of serially measured A1C was considered a measure of variability. RESULTS During follow-up, 10.2% progressed to a higher albuminuria level or to end-stage renal disease, whereas 8.6% had a CVD event. The SD of serial A1C was 1.01 versus 0.75 ( P &lt; 0.001) for renal status and 0.87 versus 0.79 ( P = 0.023) for CVD in progressors versus nonprogressors, respectively. In a Cox regression model, SD of serial A1C was independently associated with progression of renal disease (hazard ratio 1.92 [95% CI 1.49–2.47]) and of a CVD event (1.98 [1.39–2.82]) even when adjusting for mean A1C and traditional risk factors. Interestingly for CVD, mean serial A1C itself was not predictive even though SD of A1C was. CONCLUSIONS In patients with type 1 diabetes, A1C variability was not only predictive of incident microalbuminuria and progression of renal disease but also of incident CVD events. Footnotes The costs of publication of this article were defrayed in part by the payment of page charges. This article must therefore be hereby marked “advertisement” in accordance with 18 U.S.C. Section 1734 solely to indicate this fact. Received May 8, 2009. Accepted July 14, 2009. © 2009 American Diabetes Association</description><identifier>ISSN: 0012-1797</identifier><identifier>EISSN: 1939-327X</identifier><identifier>DOI: 10.2337/db09-0693</identifier><identifier>PMID: 19651819</identifier><identifier>CODEN: DIAEAZ</identifier><language>eng</language><publisher>Alexandria, VA: American Diabetes Association</publisher><subject>Adult ; Albuminuria - epidemiology ; Associated diseases and complications ; Autoanalysis - methods ; Biological and medical sciences ; Biomarkers - blood ; Blood Pressure ; Cardiovascular disease ; Cardiovascular Diseases - epidemiology ; Cardiovascular Diseases - mortality ; Diabetes ; Diabetes Mellitus, Type 1 - blood ; Diabetes. Impaired glucose tolerance ; Diabetic Angiopathies - epidemiology ; Diabetic Angiopathies - mortality ; Diabetic Nephropathies - epidemiology ; Diabetic Nephropathies - mortality ; Diabetic nephropathy ; Endocrine pancreas. Apud cells (diseases) ; Endocrinopathies ; Etiopathogenesis. Screening. Investigations. Target tissue resistance ; Exercise ; Female ; Finland - epidemiology ; Follow-Up Studies ; Glucose ; Glucose - metabolism ; Glycated Hemoglobin A - metabolism ; Humans ; Kidney diseases ; Kidney Failure, Chronic - epidemiology ; Kidneys ; Lipids - blood ; Male ; Medical sciences ; Middle Aged ; Nephrology. Urinary tract diseases ; Original ; Patient Selection ; Patients ; Predictive Value of Tests ; Questionnaires ; Research design ; Risk Factors ; Survival Rate ; Urinary system involvement in other diseases. Miscellaneous ; Urinary tract. 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Thorn 1 , 2 , Daniel Gordin 1 , 2 , Markku Saraheimo 1 , 2 and Per-Henrik Groop 1 , 2 1 Folkhälsan Institute of Genetics, Folkhälsan Research Center, Helsinki, Finland; 2 Department of Medicine, Division of Nephrology, Helsinki University Central Hospital, Helsinki, Finland. Corresponding author: Per-Henrik Groop, per-henrik.groop{at}helsinki.fi . Abstract OBJECTIVE Recent data from the Diabetes Control and Complications Trial (DCCT) indicated that A1C variability is associated with the risk of diabetes microvascular complications. However, these results might have been influenced by the interventional study design. Therefore, we investigated the longitudinal associations between A1C variability and diabetes complications in patients with type 1 diabetes in the observational Finnish Diabetic Nephropathy (FinnDiane) Study. RESEARCH DESIGN AND METHODS A total of 2,107 patients in the FinnDiane Study had complete data on renal status and serial measurements of A1C from baseline to follow-up (median 5.7 years), and 1,845 patients had similar data on cardiovascular disease (CVD) events. Intrapersonal SD of serially measured A1C was considered a measure of variability. RESULTS During follow-up, 10.2% progressed to a higher albuminuria level or to end-stage renal disease, whereas 8.6% had a CVD event. The SD of serial A1C was 1.01 versus 0.75 ( P &lt; 0.001) for renal status and 0.87 versus 0.79 ( P = 0.023) for CVD in progressors versus nonprogressors, respectively. In a Cox regression model, SD of serial A1C was independently associated with progression of renal disease (hazard ratio 1.92 [95% CI 1.49–2.47]) and of a CVD event (1.98 [1.39–2.82]) even when adjusting for mean A1C and traditional risk factors. Interestingly for CVD, mean serial A1C itself was not predictive even though SD of A1C was. CONCLUSIONS In patients with type 1 diabetes, A1C variability was not only predictive of incident microalbuminuria and progression of renal disease but also of incident CVD events. Footnotes The costs of publication of this article were defrayed in part by the payment of page charges. This article must therefore be hereby marked “advertisement” in accordance with 18 U.S.C. Section 1734 solely to indicate this fact. Received May 8, 2009. Accepted July 14, 2009. © 2009 American Diabetes Association</description><subject>Adult</subject><subject>Albuminuria - epidemiology</subject><subject>Associated diseases and complications</subject><subject>Autoanalysis - methods</subject><subject>Biological and medical sciences</subject><subject>Biomarkers - blood</subject><subject>Blood Pressure</subject><subject>Cardiovascular disease</subject><subject>Cardiovascular Diseases - epidemiology</subject><subject>Cardiovascular Diseases - mortality</subject><subject>Diabetes</subject><subject>Diabetes Mellitus, Type 1 - blood</subject><subject>Diabetes. Impaired glucose tolerance</subject><subject>Diabetic Angiopathies - epidemiology</subject><subject>Diabetic Angiopathies - mortality</subject><subject>Diabetic Nephropathies - epidemiology</subject><subject>Diabetic Nephropathies - mortality</subject><subject>Diabetic nephropathy</subject><subject>Endocrine pancreas. Apud cells (diseases)</subject><subject>Endocrinopathies</subject><subject>Etiopathogenesis. Screening. Investigations. Target tissue resistance</subject><subject>Exercise</subject><subject>Female</subject><subject>Finland - epidemiology</subject><subject>Follow-Up Studies</subject><subject>Glucose</subject><subject>Glucose - metabolism</subject><subject>Glycated Hemoglobin A - metabolism</subject><subject>Humans</subject><subject>Kidney diseases</subject><subject>Kidney Failure, Chronic - epidemiology</subject><subject>Kidneys</subject><subject>Lipids - blood</subject><subject>Male</subject><subject>Medical sciences</subject><subject>Middle Aged</subject><subject>Nephrology. Urinary tract diseases</subject><subject>Original</subject><subject>Patient Selection</subject><subject>Patients</subject><subject>Predictive Value of Tests</subject><subject>Questionnaires</subject><subject>Research design</subject><subject>Risk Factors</subject><subject>Survival Rate</subject><subject>Urinary system involvement in other diseases. Miscellaneous</subject><subject>Urinary tract. 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Impaired glucose tolerance</topic><topic>Diabetic Angiopathies - epidemiology</topic><topic>Diabetic Angiopathies - mortality</topic><topic>Diabetic Nephropathies - epidemiology</topic><topic>Diabetic Nephropathies - mortality</topic><topic>Diabetic nephropathy</topic><topic>Endocrine pancreas. Apud cells (diseases)</topic><topic>Endocrinopathies</topic><topic>Etiopathogenesis. Screening. Investigations. Target tissue resistance</topic><topic>Exercise</topic><topic>Female</topic><topic>Finland - epidemiology</topic><topic>Follow-Up Studies</topic><topic>Glucose</topic><topic>Glucose - metabolism</topic><topic>Glycated Hemoglobin A - metabolism</topic><topic>Humans</topic><topic>Kidney diseases</topic><topic>Kidney Failure, Chronic - epidemiology</topic><topic>Kidneys</topic><topic>Lipids - blood</topic><topic>Male</topic><topic>Medical sciences</topic><topic>Middle Aged</topic><topic>Nephrology. Urinary tract diseases</topic><topic>Original</topic><topic>Patient Selection</topic><topic>Patients</topic><topic>Predictive Value of Tests</topic><topic>Questionnaires</topic><topic>Research design</topic><topic>Risk Factors</topic><topic>Survival Rate</topic><topic>Urinary system involvement in other diseases. Miscellaneous</topic><topic>Urinary tract. Prostate gland</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>WADEN, Johan</creatorcontrib><creatorcontrib>FORSBLOM, Carol</creatorcontrib><creatorcontrib>THORN, Lena M</creatorcontrib><creatorcontrib>GORDIN, Daniel</creatorcontrib><creatorcontrib>SARAHEIMO, Markku</creatorcontrib><creatorcontrib>GROOP, Per-Henrik</creatorcontrib><creatorcontrib>Finnish Diabetic Nephropathy Study Group</creatorcontrib><creatorcontrib>on behalf of the Finnish Diabetic Nephropathy Study Group</creatorcontrib><collection>Pascal-Francis</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Nursing &amp; Allied Health Database</collection><collection>Health &amp; Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Science Database (Alumni Edition)</collection><collection>STEM Database</collection><collection>ProQuest Pharma Collection</collection><collection>Public Health Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Research Library (Alumni Edition)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>eLibrary</collection><collection>ProQuest Central</collection><collection>Natural Science Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>Research Library Prep</collection><collection>SciTech Premium Collection</collection><collection>Consumer Health Database (Alumni Edition)</collection><collection>ProQuest Health &amp; Medical Complete (Alumni)</collection><collection>Nursing &amp; Allied Health Database (Alumni Edition)</collection><collection>ProQuest Biological Science Collection</collection><collection>Consumer Health Database</collection><collection>Health &amp; Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Research Library</collection><collection>Science Database</collection><collection>Biological Science Database</collection><collection>Research Library (Corporate)</collection><collection>Nursing &amp; Allied Health Premium</collection><collection>ProQuest Central (New)</collection><collection>ProQuest One Academic (New)</collection><collection>ProQuest Health &amp; Medical Research Collection</collection><collection>ProQuest One Academic Middle East (New)</collection><collection>ProQuest One Health &amp; Nursing</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Applied &amp; Life Sciences</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>ProQuest Central Basic</collection><collection>SIRS Editorial</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Diabetes (New York, N.Y.)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>WADEN, Johan</au><au>FORSBLOM, Carol</au><au>THORN, Lena M</au><au>GORDIN, Daniel</au><au>SARAHEIMO, Markku</au><au>GROOP, Per-Henrik</au><aucorp>Finnish Diabetic Nephropathy Study Group</aucorp><aucorp>on behalf of the Finnish Diabetic Nephropathy Study Group</aucorp><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A1C Variability Predicts Incident Cardiovascular Events, Microalbuminuria, and Overt Diabetic Nephropathy in Patients With Type 1 Diabetes</atitle><jtitle>Diabetes (New York, N.Y.)</jtitle><addtitle>Diabetes</addtitle><date>2009-11-01</date><risdate>2009</risdate><volume>58</volume><issue>11</issue><spage>2649</spage><epage>2655</epage><pages>2649-2655</pages><issn>0012-1797</issn><eissn>1939-327X</eissn><coden>DIAEAZ</coden><abstract>A1C Variability Predicts Incident Cardiovascular Events, Microalbuminuria, and Overt Diabetic Nephropathy in Patients With Type 1 Diabetes Johan Wadén 1 , 2 , Carol Forsblom 1 , 2 , Lena M. Thorn 1 , 2 , Daniel Gordin 1 , 2 , Markku Saraheimo 1 , 2 and Per-Henrik Groop 1 , 2 1 Folkhälsan Institute of Genetics, Folkhälsan Research Center, Helsinki, Finland; 2 Department of Medicine, Division of Nephrology, Helsinki University Central Hospital, Helsinki, Finland. Corresponding author: Per-Henrik Groop, per-henrik.groop{at}helsinki.fi . Abstract OBJECTIVE Recent data from the Diabetes Control and Complications Trial (DCCT) indicated that A1C variability is associated with the risk of diabetes microvascular complications. However, these results might have been influenced by the interventional study design. Therefore, we investigated the longitudinal associations between A1C variability and diabetes complications in patients with type 1 diabetes in the observational Finnish Diabetic Nephropathy (FinnDiane) Study. RESEARCH DESIGN AND METHODS A total of 2,107 patients in the FinnDiane Study had complete data on renal status and serial measurements of A1C from baseline to follow-up (median 5.7 years), and 1,845 patients had similar data on cardiovascular disease (CVD) events. Intrapersonal SD of serially measured A1C was considered a measure of variability. RESULTS During follow-up, 10.2% progressed to a higher albuminuria level or to end-stage renal disease, whereas 8.6% had a CVD event. The SD of serial A1C was 1.01 versus 0.75 ( P &lt; 0.001) for renal status and 0.87 versus 0.79 ( P = 0.023) for CVD in progressors versus nonprogressors, respectively. In a Cox regression model, SD of serial A1C was independently associated with progression of renal disease (hazard ratio 1.92 [95% CI 1.49–2.47]) and of a CVD event (1.98 [1.39–2.82]) even when adjusting for mean A1C and traditional risk factors. Interestingly for CVD, mean serial A1C itself was not predictive even though SD of A1C was. CONCLUSIONS In patients with type 1 diabetes, A1C variability was not only predictive of incident microalbuminuria and progression of renal disease but also of incident CVD events. Footnotes The costs of publication of this article were defrayed in part by the payment of page charges. This article must therefore be hereby marked “advertisement” in accordance with 18 U.S.C. Section 1734 solely to indicate this fact. Received May 8, 2009. Accepted July 14, 2009. © 2009 American Diabetes Association</abstract><cop>Alexandria, VA</cop><pub>American Diabetes Association</pub><pmid>19651819</pmid><doi>10.2337/db09-0693</doi><tpages>7</tpages><oa>free_for_read</oa></addata></record>
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language eng
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source MEDLINE; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; PubMed Central
subjects Adult
Albuminuria - epidemiology
Associated diseases and complications
Autoanalysis - methods
Biological and medical sciences
Biomarkers - blood
Blood Pressure
Cardiovascular disease
Cardiovascular Diseases - epidemiology
Cardiovascular Diseases - mortality
Diabetes
Diabetes Mellitus, Type 1 - blood
Diabetes. Impaired glucose tolerance
Diabetic Angiopathies - epidemiology
Diabetic Angiopathies - mortality
Diabetic Nephropathies - epidemiology
Diabetic Nephropathies - mortality
Diabetic nephropathy
Endocrine pancreas. Apud cells (diseases)
Endocrinopathies
Etiopathogenesis. Screening. Investigations. Target tissue resistance
Exercise
Female
Finland - epidemiology
Follow-Up Studies
Glucose
Glucose - metabolism
Glycated Hemoglobin A - metabolism
Humans
Kidney diseases
Kidney Failure, Chronic - epidemiology
Kidneys
Lipids - blood
Male
Medical sciences
Middle Aged
Nephrology. Urinary tract diseases
Original
Patient Selection
Patients
Predictive Value of Tests
Questionnaires
Research design
Risk Factors
Survival Rate
Urinary system involvement in other diseases. Miscellaneous
Urinary tract. Prostate gland
title A1C Variability Predicts Incident Cardiovascular Events, Microalbuminuria, and Overt Diabetic Nephropathy in Patients With Type 1 Diabetes
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