Glycemic Status and Development of Kidney Disease: The Framingham Heart Study

OBJECTIVE:--Diabetes is a major risk factor for the development of kidney disease and is the leading cause of end-stage renal disease in the U.S. Whether pre-diabetes is associated with the development of kidney disease is unclear. RESEARCH DESIGN AND METHODS--Subjects free of chronic kidney disease...

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Veröffentlicht in:Diabetes care 2005-10, Vol.28 (10), p.2436-2440
Hauptverfasser: Fox, Caroline S, Larson, Martin G, Leip, Eric P, Meigs, James B, Wilson, Peter W.F, Levy, Daniel
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container_issue 10
container_start_page 2436
container_title Diabetes care
container_volume 28
creator Fox, Caroline S
Larson, Martin G
Leip, Eric P
Meigs, James B
Wilson, Peter W.F
Levy, Daniel
description OBJECTIVE:--Diabetes is a major risk factor for the development of kidney disease and is the leading cause of end-stage renal disease in the U.S. Whether pre-diabetes is associated with the development of kidney disease is unclear. RESEARCH DESIGN AND METHODS--Subjects free of chronic kidney disease (CKD) were drawn from the Framingham Heart Study offspring cohort (1991-1995), given an oral glucose tolerance test, and followed for an average of 7 years for development of CKD (glomerular filtration rate [GFR] of
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RESEARCH DESIGN AND METHODS--Subjects free of chronic kidney disease (CKD) were drawn from the Framingham Heart Study offspring cohort (1991-1995), given an oral glucose tolerance test, and followed for an average of 7 years for development of CKD (glomerular filtration rate [GFR] of &lt;59 ml/min per 1.73 m² in women and &lt;64 ml/min per 1.73 m² in men). Multivariable logistic regression models, adjusted for cardiovascular disease risk factors including age, sex, hypertension, smoking, BMI, total and HDL cholesterol levels, and prevalent myocardial infarction or congestive heart failure, were used to estimate the odds of patients developing kidney disease among glycemic categories. RESULTS:--Of 2,398 subjects (53% women; mean age 54 years), 63% were normoglycemic, 29% had impaired fasting glucose (IFG) or impaired glucose tolerance (IGT), 3.4% were newly diabetic, and 4.6% had known diabetes. By glycemic category, mean GFR at follow-up was 87, 85, 82, and 78 ml/min per 1.73 m², respectively. The fully adjusted odds of developing CKD were 0.98 (95% CI 0.67-1.45), 1.71 (95% CI 0.83-3.55), and 1.93 (95% CI 1.06-3.49) among those with IFG or IGT, newly diagnosed diabetes, or known diabetes, respectively, compared with those who were normoglycemic at baseline. Among participants without diabetes, metabolic syndrome was not associated with kidney disease at follow-up (odds ratio 1.46, P = 0.06). CONCLUSIONS:--Cardiovascular disease risk factors explain much of the relationship between prediabetes and the development of chronic kidney disease. Clinical trials are warranted to determine whether vascular risk factor modification can slow the decline of kidney function among those with pre-diabetes.</description><identifier>ISSN: 0149-5992</identifier><identifier>EISSN: 1935-5548</identifier><identifier>DOI: 10.2337/diacare.28.10.2436</identifier><identifier>PMID: 16186276</identifier><identifier>CODEN: DICAD2</identifier><language>eng</language><publisher>Alexandria, VA: American Diabetes Association</publisher><subject>Adult ; Aged ; Biological and medical sciences ; Cardiovascular disease ; Cardiovascular diseases ; Care and treatment ; Correlation analysis ; Diabetes ; Diabetes. Impaired glucose tolerance ; Diabetic Nephropathies - epidemiology ; Diagnosis ; Endocrine pancreas. Apud cells (diseases) ; Endocrinopathies ; Female ; Humans ; Hyperglycemia - epidemiology ; Insulin Resistance ; Kidney diseases ; Longitudinal Studies ; Male ; Massachusetts - epidemiology ; Medical sciences ; Metabolic Syndrome - epidemiology ; Middle Aged ; Prediabetic State - epidemiology ; Renal Insufficiency, Chronic - epidemiology ; Risk Factors</subject><ispartof>Diabetes care, 2005-10, Vol.28 (10), p.2436-2440</ispartof><rights>2006 INIST-CNRS</rights><rights>COPYRIGHT 2005 American Diabetes Association</rights><rights>Copyright American Diabetes Association Oct 2005</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27923,27924</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&amp;idt=17164979$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/16186276$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Fox, Caroline S</creatorcontrib><creatorcontrib>Larson, Martin G</creatorcontrib><creatorcontrib>Leip, Eric P</creatorcontrib><creatorcontrib>Meigs, James B</creatorcontrib><creatorcontrib>Wilson, Peter W.F</creatorcontrib><creatorcontrib>Levy, Daniel</creatorcontrib><title>Glycemic Status and Development of Kidney Disease: The Framingham Heart Study</title><title>Diabetes care</title><addtitle>Diabetes Care</addtitle><description>OBJECTIVE:--Diabetes is a major risk factor for the development of kidney disease and is the leading cause of end-stage renal disease in the U.S. Whether pre-diabetes is associated with the development of kidney disease is unclear. RESEARCH DESIGN AND METHODS--Subjects free of chronic kidney disease (CKD) were drawn from the Framingham Heart Study offspring cohort (1991-1995), given an oral glucose tolerance test, and followed for an average of 7 years for development of CKD (glomerular filtration rate [GFR] of &lt;59 ml/min per 1.73 m² in women and &lt;64 ml/min per 1.73 m² in men). Multivariable logistic regression models, adjusted for cardiovascular disease risk factors including age, sex, hypertension, smoking, BMI, total and HDL cholesterol levels, and prevalent myocardial infarction or congestive heart failure, were used to estimate the odds of patients developing kidney disease among glycemic categories. RESULTS:--Of 2,398 subjects (53% women; mean age 54 years), 63% were normoglycemic, 29% had impaired fasting glucose (IFG) or impaired glucose tolerance (IGT), 3.4% were newly diabetic, and 4.6% had known diabetes. By glycemic category, mean GFR at follow-up was 87, 85, 82, and 78 ml/min per 1.73 m², respectively. The fully adjusted odds of developing CKD were 0.98 (95% CI 0.67-1.45), 1.71 (95% CI 0.83-3.55), and 1.93 (95% CI 1.06-3.49) among those with IFG or IGT, newly diagnosed diabetes, or known diabetes, respectively, compared with those who were normoglycemic at baseline. Among participants without diabetes, metabolic syndrome was not associated with kidney disease at follow-up (odds ratio 1.46, P = 0.06). CONCLUSIONS:--Cardiovascular disease risk factors explain much of the relationship between prediabetes and the development of chronic kidney disease. Clinical trials are warranted to determine whether vascular risk factor modification can slow the decline of kidney function among those with pre-diabetes.</description><subject>Adult</subject><subject>Aged</subject><subject>Biological and medical sciences</subject><subject>Cardiovascular disease</subject><subject>Cardiovascular diseases</subject><subject>Care and treatment</subject><subject>Correlation analysis</subject><subject>Diabetes</subject><subject>Diabetes. Impaired glucose tolerance</subject><subject>Diabetic Nephropathies - epidemiology</subject><subject>Diagnosis</subject><subject>Endocrine pancreas. Apud cells (diseases)</subject><subject>Endocrinopathies</subject><subject>Female</subject><subject>Humans</subject><subject>Hyperglycemia - epidemiology</subject><subject>Insulin Resistance</subject><subject>Kidney diseases</subject><subject>Longitudinal Studies</subject><subject>Male</subject><subject>Massachusetts - epidemiology</subject><subject>Medical sciences</subject><subject>Metabolic Syndrome - epidemiology</subject><subject>Middle Aged</subject><subject>Prediabetic State - epidemiology</subject><subject>Renal Insufficiency, Chronic - epidemiology</subject><subject>Risk Factors</subject><issn>0149-5992</issn><issn>1935-5548</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2005</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>8G5</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><sourceid>GUQSH</sourceid><sourceid>M2O</sourceid><recordid>eNpt0d1LHDEQAPBQWurV9h_oQ7sU6tte8_3RN9GqRaUP6vMyl509I7vZa7JbuP--kTsRRDIhMPwmTDKEfGZ0yYUwP9oAHhIuuV0-pqTQb8iCOaFqpaR9SxaUSVcr5_gB-ZDzA6VUSmvfkwOmmdXc6AW5Pu-3Hofgq5sJpjlXENvqFP9hP24GjFM1dtVlaCNuq9OQETL-rG7vsTpLMIS4voehukBIUymf2-1H8q6DPuOn_XlI7s5-3Z5c1Fd_zn-fHF_VndBmqnFFlQPjnRDYSc-4Vbzz1rbGc1TKcyXR6rJBKs6MxpYZdJ5CK4XUfiUOydHu3k0a_86Yp2YI2WPfQ8Rxzo0ur-NMyQK_vYAP45xi6a3hXFAhrTYF1Tu0hh6bELtxSuDXGDFBP0bsQkkfM2GcVsaw4pev-LLax498teDLvot5NWDbbFIYIG2bpzEU8H0PIHvouwTRh_zsDNPSGVfc153rYGxgnYq5u-GUCcqoKKHEf0AVnrM</recordid><startdate>20051001</startdate><enddate>20051001</enddate><creator>Fox, Caroline S</creator><creator>Larson, Martin G</creator><creator>Leip, Eric P</creator><creator>Meigs, James B</creator><creator>Wilson, Peter W.F</creator><creator>Levy, Daniel</creator><general>American Diabetes Association</general><scope>FBQ</scope><scope>IQODW</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>3V.</scope><scope>7RV</scope><scope>7X2</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>88I</scope><scope>8AF</scope><scope>8AO</scope><scope>8C1</scope><scope>8FE</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>8G5</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AN0</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BEC</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>GUQSH</scope><scope>HCIFZ</scope><scope>K9-</scope><scope>K9.</scope><scope>KB0</scope><scope>M0K</scope><scope>M0R</scope><scope>M0S</scope><scope>M0T</scope><scope>M1P</scope><scope>M2O</scope><scope>M2P</scope><scope>MBDVC</scope><scope>NAPCQ</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>Q9U</scope><scope>S0X</scope><scope>7X8</scope></search><sort><creationdate>20051001</creationdate><title>Glycemic Status and Development of Kidney Disease: The Framingham Heart Study</title><author>Fox, Caroline S ; Larson, Martin G ; Leip, Eric P ; Meigs, James B ; Wilson, Peter W.F ; Levy, Daniel</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-f367t-eb059a7c933ef4c12852fc88d7c2e55c254e864e8a452176ed17e9c0ad4346cb3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2005</creationdate><topic>Adult</topic><topic>Aged</topic><topic>Biological and medical sciences</topic><topic>Cardiovascular disease</topic><topic>Cardiovascular diseases</topic><topic>Care and treatment</topic><topic>Correlation analysis</topic><topic>Diabetes</topic><topic>Diabetes. Impaired glucose tolerance</topic><topic>Diabetic Nephropathies - epidemiology</topic><topic>Diagnosis</topic><topic>Endocrine pancreas. 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RESEARCH DESIGN AND METHODS--Subjects free of chronic kidney disease (CKD) were drawn from the Framingham Heart Study offspring cohort (1991-1995), given an oral glucose tolerance test, and followed for an average of 7 years for development of CKD (glomerular filtration rate [GFR] of &lt;59 ml/min per 1.73 m² in women and &lt;64 ml/min per 1.73 m² in men). Multivariable logistic regression models, adjusted for cardiovascular disease risk factors including age, sex, hypertension, smoking, BMI, total and HDL cholesterol levels, and prevalent myocardial infarction or congestive heart failure, were used to estimate the odds of patients developing kidney disease among glycemic categories. RESULTS:--Of 2,398 subjects (53% women; mean age 54 years), 63% were normoglycemic, 29% had impaired fasting glucose (IFG) or impaired glucose tolerance (IGT), 3.4% were newly diabetic, and 4.6% had known diabetes. By glycemic category, mean GFR at follow-up was 87, 85, 82, and 78 ml/min per 1.73 m², respectively. The fully adjusted odds of developing CKD were 0.98 (95% CI 0.67-1.45), 1.71 (95% CI 0.83-3.55), and 1.93 (95% CI 1.06-3.49) among those with IFG or IGT, newly diagnosed diabetes, or known diabetes, respectively, compared with those who were normoglycemic at baseline. Among participants without diabetes, metabolic syndrome was not associated with kidney disease at follow-up (odds ratio 1.46, P = 0.06). CONCLUSIONS:--Cardiovascular disease risk factors explain much of the relationship between prediabetes and the development of chronic kidney disease. Clinical trials are warranted to determine whether vascular risk factor modification can slow the decline of kidney function among those with pre-diabetes.</abstract><cop>Alexandria, VA</cop><pub>American Diabetes Association</pub><pmid>16186276</pmid><doi>10.2337/diacare.28.10.2436</doi><tpages>5</tpages></addata></record>
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subjects Adult
Aged
Biological and medical sciences
Cardiovascular disease
Cardiovascular diseases
Care and treatment
Correlation analysis
Diabetes
Diabetes. Impaired glucose tolerance
Diabetic Nephropathies - epidemiology
Diagnosis
Endocrine pancreas. Apud cells (diseases)
Endocrinopathies
Female
Humans
Hyperglycemia - epidemiology
Insulin Resistance
Kidney diseases
Longitudinal Studies
Male
Massachusetts - epidemiology
Medical sciences
Metabolic Syndrome - epidemiology
Middle Aged
Prediabetic State - epidemiology
Renal Insufficiency, Chronic - epidemiology
Risk Factors
title Glycemic Status and Development of Kidney Disease: The Framingham Heart Study
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