Association between markers of glycemia and carotid intima-media thickness: the MARK study
Carotid intima-media thickness (C-IMT) is a reliable predictor of cardiovascular events. We Investigated the relationship between markers of glycemia and C-IMT in intermediate-risk cardiovascular patients. This study analyzed 427 subjects, aged 35 to 74 years (mean, 60.3 ± 8.5 years), 55 % women, en...
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creator | Gomez-Marcos, Manuel A Gomez-Sanchez, Leticia Patino-Alonso, Maria C Recio-Rodriguez, Jose I Regalado, Natividad Garcia Ramos, Rafel Marti, Ruth Agudo-Conde, Cristina Rodriguez-Sanchez, Emiliano Maderuelo-Fernandez, Jose A Garcia-Ortiz, Luis |
description | Carotid intima-media thickness (C-IMT) is a reliable predictor of cardiovascular events. We Investigated the relationship between markers of glycemia and C-IMT in intermediate-risk cardiovascular patients.
This study analyzed 427 subjects, aged 35 to 74 years (mean, 60.3 ± 8.5 years), 55 % women, enrolled into the MARK study. Including 231 subjects defined as normal glucose, 104 subjects classified as prediabetes and 92 with type 2 diabetes mellitus. Carotid ultrasound was used to measure C-IMT and the presence of plaques. Fasting plasma glucose (mg/dl) and glycated hemoglobin (%) (HbA1c) were measured using standard enzymatic automated methods. Postprandial glucose (mg/dl) was self-measured by patients at home 2 h after meals (breakfast, lunch and dinner) for 1 day.
The C-IMT shows a positive correlation with fasting plasma glucose, postprandial glucose and HbA1c. Multiple linear regression analysis showed a positive association between HbA1c and C-IMT, with a 0.016 mm and 0.019 mm increase in mean and maximum C-IMT per 1 % increase in HbA1c. In addition, an association between fasting plasma glucose and C-IMT was found with an increase of 0.004 and 0.005 mm in mean and maximum C-IMT per 10 mg/dl in fasting plasma glucose. We also observed a graded association between fasting plasma glucose, postprandial glucose and HbA1c and the presence of carotid target organ damage (TOD), with an odds ratio of 1.013, 1.010 and 1.425, respectively.
The results of this study suggest that the fasting plasma glucose and HbA1c, but not postprandial glucose, are associated with C-IMT media and maximum. The patients who present with a metabolic glucose alteration have more risk of developing carotid TOD.
ClinicalTrials.gov; Identifier: NCT01428934 . |
doi_str_mv | 10.1186/s12872-016-0380-6 |
format | Article |
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This study analyzed 427 subjects, aged 35 to 74 years (mean, 60.3 ± 8.5 years), 55 % women, enrolled into the MARK study. Including 231 subjects defined as normal glucose, 104 subjects classified as prediabetes and 92 with type 2 diabetes mellitus. Carotid ultrasound was used to measure C-IMT and the presence of plaques. Fasting plasma glucose (mg/dl) and glycated hemoglobin (%) (HbA1c) were measured using standard enzymatic automated methods. Postprandial glucose (mg/dl) was self-measured by patients at home 2 h after meals (breakfast, lunch and dinner) for 1 day.
The C-IMT shows a positive correlation with fasting plasma glucose, postprandial glucose and HbA1c. Multiple linear regression analysis showed a positive association between HbA1c and C-IMT, with a 0.016 mm and 0.019 mm increase in mean and maximum C-IMT per 1 % increase in HbA1c. In addition, an association between fasting plasma glucose and C-IMT was found with an increase of 0.004 and 0.005 mm in mean and maximum C-IMT per 10 mg/dl in fasting plasma glucose. We also observed a graded association between fasting plasma glucose, postprandial glucose and HbA1c and the presence of carotid target organ damage (TOD), with an odds ratio of 1.013, 1.010 and 1.425, respectively.
The results of this study suggest that the fasting plasma glucose and HbA1c, but not postprandial glucose, are associated with C-IMT media and maximum. The patients who present with a metabolic glucose alteration have more risk of developing carotid TOD.
ClinicalTrials.gov; Identifier: NCT01428934 .</description><identifier>ISSN: 1471-2261</identifier><identifier>EISSN: 1471-2261</identifier><identifier>DOI: 10.1186/s12872-016-0380-6</identifier><identifier>PMID: 27793100</identifier><language>eng</language><publisher>England: BioMed Central Ltd</publisher><subject>Adult ; Aged ; Biomarkers - blood ; Blood Glucose - metabolism ; Blood sugar ; Cardiovascular diseases ; Cardiovascular Diseases - blood ; Cardiovascular Diseases - epidemiology ; Cardiovascular Diseases - etiology ; Carotid Arteries ; Carotid Intima-Media Thickness ; Complications and side effects ; Cross-Sectional Studies ; Diagnosis ; Female ; Follow-Up Studies ; Forecasting ; Glucose Tolerance Test ; Glucèmia ; Glycated Hemoglobin A - metabolism ; Glycosylated hemoglobin ; Hemoglobin ; Hemoglobina ; Humans ; Incidence ; Male ; Measurement ; Middle Aged ; Physiological aspects ; Prediabetic State - blood ; Prediabetic State - complications ; Prediabetic State - diagnosis ; Prevalence ; Risk Factors ; Spain - epidemiology ; Type 2 diabetes</subject><ispartof>BMC cardiovascular disorders, 2016-10, Vol.16 (1), p.203-203, Article 203</ispartof><rights>COPYRIGHT 2016 BioMed Central Ltd.</rights><rights>Copyright BioMed Central 2016</rights><rights>Attribution 4.0 Spain info:eu-repo/semantics/openAccess <a href="http://creativecommons.org/licenses/by/4.0/es/">http://creativecommons.org/licenses/by/4.0/es/</a></rights><rights>The Author(s). 2016</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c536t-ac3b2f0117f8e0fc71bdcbd0b7ac8180cb41a3ff7e253abb849c42587c4859f53</citedby><cites>FETCH-LOGICAL-c536t-ac3b2f0117f8e0fc71bdcbd0b7ac8180cb41a3ff7e253abb849c42587c4859f53</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC5084362/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC5084362/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,860,881,26951,27901,27902,53766,53768</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/27793100$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Gomez-Marcos, Manuel A</creatorcontrib><creatorcontrib>Gomez-Sanchez, Leticia</creatorcontrib><creatorcontrib>Patino-Alonso, Maria C</creatorcontrib><creatorcontrib>Recio-Rodriguez, Jose I</creatorcontrib><creatorcontrib>Regalado, Natividad Garcia</creatorcontrib><creatorcontrib>Ramos, Rafel</creatorcontrib><creatorcontrib>Marti, Ruth</creatorcontrib><creatorcontrib>Agudo-Conde, Cristina</creatorcontrib><creatorcontrib>Rodriguez-Sanchez, Emiliano</creatorcontrib><creatorcontrib>Maderuelo-Fernandez, Jose A</creatorcontrib><creatorcontrib>Garcia-Ortiz, Luis</creatorcontrib><creatorcontrib>MARK Group</creatorcontrib><creatorcontrib>for the MARK Group</creatorcontrib><title>Association between markers of glycemia and carotid intima-media thickness: the MARK study</title><title>BMC cardiovascular disorders</title><addtitle>BMC Cardiovasc Disord</addtitle><description>Carotid intima-media thickness (C-IMT) is a reliable predictor of cardiovascular events. We Investigated the relationship between markers of glycemia and C-IMT in intermediate-risk cardiovascular patients.
This study analyzed 427 subjects, aged 35 to 74 years (mean, 60.3 ± 8.5 years), 55 % women, enrolled into the MARK study. Including 231 subjects defined as normal glucose, 104 subjects classified as prediabetes and 92 with type 2 diabetes mellitus. Carotid ultrasound was used to measure C-IMT and the presence of plaques. Fasting plasma glucose (mg/dl) and glycated hemoglobin (%) (HbA1c) were measured using standard enzymatic automated methods. Postprandial glucose (mg/dl) was self-measured by patients at home 2 h after meals (breakfast, lunch and dinner) for 1 day.
The C-IMT shows a positive correlation with fasting plasma glucose, postprandial glucose and HbA1c. Multiple linear regression analysis showed a positive association between HbA1c and C-IMT, with a 0.016 mm and 0.019 mm increase in mean and maximum C-IMT per 1 % increase in HbA1c. In addition, an association between fasting plasma glucose and C-IMT was found with an increase of 0.004 and 0.005 mm in mean and maximum C-IMT per 10 mg/dl in fasting plasma glucose. We also observed a graded association between fasting plasma glucose, postprandial glucose and HbA1c and the presence of carotid target organ damage (TOD), with an odds ratio of 1.013, 1.010 and 1.425, respectively.
The results of this study suggest that the fasting plasma glucose and HbA1c, but not postprandial glucose, are associated with C-IMT media and maximum. The patients who present with a metabolic glucose alteration have more risk of developing carotid TOD.
ClinicalTrials.gov; Identifier: NCT01428934 .</description><subject>Adult</subject><subject>Aged</subject><subject>Biomarkers - blood</subject><subject>Blood Glucose - metabolism</subject><subject>Blood sugar</subject><subject>Cardiovascular diseases</subject><subject>Cardiovascular Diseases - blood</subject><subject>Cardiovascular Diseases - epidemiology</subject><subject>Cardiovascular Diseases - etiology</subject><subject>Carotid Arteries</subject><subject>Carotid Intima-Media Thickness</subject><subject>Complications and side effects</subject><subject>Cross-Sectional Studies</subject><subject>Diagnosis</subject><subject>Female</subject><subject>Follow-Up Studies</subject><subject>Forecasting</subject><subject>Glucose Tolerance Test</subject><subject>Glucèmia</subject><subject>Glycated Hemoglobin A - metabolism</subject><subject>Glycosylated hemoglobin</subject><subject>Hemoglobin</subject><subject>Hemoglobina</subject><subject>Humans</subject><subject>Incidence</subject><subject>Male</subject><subject>Measurement</subject><subject>Middle Aged</subject><subject>Physiological aspects</subject><subject>Prediabetic State - blood</subject><subject>Prediabetic State - complications</subject><subject>Prediabetic State - diagnosis</subject><subject>Prevalence</subject><subject>Risk Factors</subject><subject>Spain - epidemiology</subject><subject>Type 2 diabetes</subject><issn>1471-2261</issn><issn>1471-2261</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2016</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>BENPR</sourceid><sourceid>XX2</sourceid><recordid>eNptUk1v1DAQjRCIlsIP4IIiceGS4q_EDgekVUUBUYSE4MLFcibjrdusXWyHav89DtsuLUKW5bHnvefx-FXVc0qOKVXd60SZkqwhtGsIV6TpHlSHVEjaMNbRh3fig-pJSheEUKlI_7g6YFL2nBJyWP1YpRTAmeyCrwfM14i-3ph4iTHVwdbraQu4caY2fqzBxJDdWDuf3cY0GxxLIp87uPSY0psSYv159fVTnfI8bp9Wj6yZEj67WY-q76fvvp18aM6-vP94sjproOVdbgzwgVlCqbQKiQVJhxGGkQzSgKKKwCCo4dZKZC03w6BED4K1SoJQbW9bflS93elezUMpCdDnaCZ9FUuNcauDcfp-xrtzvQ6_dEuU4B0rAnQnAGkGHREwgsl_iPvNMhmRTHMmmCCF8-rm0hh-zpiy3rgEOE3GY5iTpoq3Le-FXORf_gO9CHP0pSULSkjJeyb_otZmQu28DaVWWET1SnRFrads0Tr-D6qMsXwSBI_WlfN7hNu3xZBSRLvvCyV6MZHemUgXE-nFRLornBd3G7pn3LqG_wZZU8F4</recordid><startdate>20161028</startdate><enddate>20161028</enddate><creator>Gomez-Marcos, Manuel A</creator><creator>Gomez-Sanchez, Leticia</creator><creator>Patino-Alonso, Maria C</creator><creator>Recio-Rodriguez, Jose I</creator><creator>Regalado, Natividad Garcia</creator><creator>Ramos, Rafel</creator><creator>Marti, Ruth</creator><creator>Agudo-Conde, Cristina</creator><creator>Rodriguez-Sanchez, Emiliano</creator><creator>Maderuelo-Fernandez, Jose A</creator><creator>Garcia-Ortiz, Luis</creator><general>BioMed Central Ltd</general><general>BioMed Central</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>3V.</scope><scope>7QP</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>K9.</scope><scope>M0S</scope><scope>M1P</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>7X8</scope><scope>XX2</scope><scope>5PM</scope></search><sort><creationdate>20161028</creationdate><title>Association between markers of glycemia and carotid intima-media thickness: the MARK study</title><author>Gomez-Marcos, Manuel A ; Gomez-Sanchez, Leticia ; Patino-Alonso, Maria C ; Recio-Rodriguez, Jose I ; Regalado, Natividad Garcia ; Ramos, Rafel ; Marti, Ruth ; Agudo-Conde, Cristina ; Rodriguez-Sanchez, Emiliano ; Maderuelo-Fernandez, Jose A ; Garcia-Ortiz, Luis</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c536t-ac3b2f0117f8e0fc71bdcbd0b7ac8180cb41a3ff7e253abb849c42587c4859f53</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2016</creationdate><topic>Adult</topic><topic>Aged</topic><topic>Biomarkers - blood</topic><topic>Blood Glucose - metabolism</topic><topic>Blood sugar</topic><topic>Cardiovascular diseases</topic><topic>Cardiovascular Diseases - blood</topic><topic>Cardiovascular Diseases - epidemiology</topic><topic>Cardiovascular Diseases - etiology</topic><topic>Carotid Arteries</topic><topic>Carotid Intima-Media Thickness</topic><topic>Complications and side effects</topic><topic>Cross-Sectional Studies</topic><topic>Diagnosis</topic><topic>Female</topic><topic>Follow-Up Studies</topic><topic>Forecasting</topic><topic>Glucose Tolerance Test</topic><topic>Glucèmia</topic><topic>Glycated Hemoglobin A - metabolism</topic><topic>Glycosylated hemoglobin</topic><topic>Hemoglobin</topic><topic>Hemoglobina</topic><topic>Humans</topic><topic>Incidence</topic><topic>Male</topic><topic>Measurement</topic><topic>Middle Aged</topic><topic>Physiological aspects</topic><topic>Prediabetic State - blood</topic><topic>Prediabetic State - complications</topic><topic>Prediabetic State - diagnosis</topic><topic>Prevalence</topic><topic>Risk Factors</topic><topic>Spain - epidemiology</topic><topic>Type 2 diabetes</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Gomez-Marcos, Manuel A</creatorcontrib><creatorcontrib>Gomez-Sanchez, Leticia</creatorcontrib><creatorcontrib>Patino-Alonso, Maria C</creatorcontrib><creatorcontrib>Recio-Rodriguez, Jose I</creatorcontrib><creatorcontrib>Regalado, Natividad Garcia</creatorcontrib><creatorcontrib>Ramos, Rafel</creatorcontrib><creatorcontrib>Marti, Ruth</creatorcontrib><creatorcontrib>Agudo-Conde, Cristina</creatorcontrib><creatorcontrib>Rodriguez-Sanchez, Emiliano</creatorcontrib><creatorcontrib>Maderuelo-Fernandez, Jose A</creatorcontrib><creatorcontrib>Garcia-Ortiz, Luis</creatorcontrib><creatorcontrib>MARK Group</creatorcontrib><creatorcontrib>for the MARK Group</creatorcontrib><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>Calcium & Calcified Tissue Abstracts</collection><collection>ProQuest Health and Medical</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</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 Health & Medical Complete (Alumni)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>MEDLINE - Academic</collection><collection>Recercat</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>BMC cardiovascular disorders</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Gomez-Marcos, Manuel A</au><au>Gomez-Sanchez, Leticia</au><au>Patino-Alonso, Maria C</au><au>Recio-Rodriguez, Jose I</au><au>Regalado, Natividad Garcia</au><au>Ramos, Rafel</au><au>Marti, Ruth</au><au>Agudo-Conde, Cristina</au><au>Rodriguez-Sanchez, Emiliano</au><au>Maderuelo-Fernandez, Jose A</au><au>Garcia-Ortiz, Luis</au><aucorp>MARK Group</aucorp><aucorp>for the MARK Group</aucorp><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Association between markers of glycemia and carotid intima-media thickness: the MARK study</atitle><jtitle>BMC cardiovascular disorders</jtitle><addtitle>BMC Cardiovasc Disord</addtitle><date>2016-10-28</date><risdate>2016</risdate><volume>16</volume><issue>1</issue><spage>203</spage><epage>203</epage><pages>203-203</pages><artnum>203</artnum><issn>1471-2261</issn><eissn>1471-2261</eissn><abstract>Carotid intima-media thickness (C-IMT) is a reliable predictor of cardiovascular events. We Investigated the relationship between markers of glycemia and C-IMT in intermediate-risk cardiovascular patients.
This study analyzed 427 subjects, aged 35 to 74 years (mean, 60.3 ± 8.5 years), 55 % women, enrolled into the MARK study. Including 231 subjects defined as normal glucose, 104 subjects classified as prediabetes and 92 with type 2 diabetes mellitus. Carotid ultrasound was used to measure C-IMT and the presence of plaques. Fasting plasma glucose (mg/dl) and glycated hemoglobin (%) (HbA1c) were measured using standard enzymatic automated methods. Postprandial glucose (mg/dl) was self-measured by patients at home 2 h after meals (breakfast, lunch and dinner) for 1 day.
The C-IMT shows a positive correlation with fasting plasma glucose, postprandial glucose and HbA1c. Multiple linear regression analysis showed a positive association between HbA1c and C-IMT, with a 0.016 mm and 0.019 mm increase in mean and maximum C-IMT per 1 % increase in HbA1c. In addition, an association between fasting plasma glucose and C-IMT was found with an increase of 0.004 and 0.005 mm in mean and maximum C-IMT per 10 mg/dl in fasting plasma glucose. We also observed a graded association between fasting plasma glucose, postprandial glucose and HbA1c and the presence of carotid target organ damage (TOD), with an odds ratio of 1.013, 1.010 and 1.425, respectively.
The results of this study suggest that the fasting plasma glucose and HbA1c, but not postprandial glucose, are associated with C-IMT media and maximum. The patients who present with a metabolic glucose alteration have more risk of developing carotid TOD.
ClinicalTrials.gov; Identifier: NCT01428934 .</abstract><cop>England</cop><pub>BioMed Central Ltd</pub><pmid>27793100</pmid><doi>10.1186/s12872-016-0380-6</doi><tpages>1</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Adult Aged Biomarkers - blood Blood Glucose - metabolism Blood sugar Cardiovascular diseases Cardiovascular Diseases - blood Cardiovascular Diseases - epidemiology Cardiovascular Diseases - etiology Carotid Arteries Carotid Intima-Media Thickness Complications and side effects Cross-Sectional Studies Diagnosis Female Follow-Up Studies Forecasting Glucose Tolerance Test Glucèmia Glycated Hemoglobin A - metabolism Glycosylated hemoglobin Hemoglobin Hemoglobina Humans Incidence Male Measurement Middle Aged Physiological aspects Prediabetic State - blood Prediabetic State - complications Prediabetic State - diagnosis Prevalence Risk Factors Spain - epidemiology Type 2 diabetes |
title | Association between markers of glycemia and carotid intima-media thickness: the MARK study |
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