Microalbuminuria and the Combination of MRI Markers of Cerebral Small Vessel Disease
Background: Kidney function has been related to the presence of individual markers of cerebral small vessel disease (CSVD), as lacunes, white matter hyperintensities (WMH) or microbleeds. We aimed at studying the relationship of kidney dysfunction with the combination of several markers of CSVD. Met...
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Veröffentlicht in: | Cerebrovascular diseases (Basel, Switzerland) Switzerland), 2016-01, Vol.42 (1-2), p.66-72 |
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creator | Vilar-Bergua, Andrea Riba-Llena, Iolanda Ramos, Natalia Mundet, Xavier Espinel, Eugenia López-Rueda, Antonio Ostos, Elena Seron, Daniel Montaner, Joan Delgado, Pilar |
description | Background: Kidney function has been related to the presence of individual markers of cerebral small vessel disease (CSVD), as lacunes, white matter hyperintensities (WMH) or microbleeds. We aimed at studying the relationship of kidney dysfunction with the combination of several markers of CSVD. Methods: Subjects are those included in the ISSYS cohort (Investigating Silent Strokes in hypertensives: a magnetic resonance imaging study). A scale ranging from 0 to 4 points was applied based on the presence (one point each) of lacunes, deep microbleeds, moderate to extensive basal ganglia enlarged perivascular spaces (EPVS), and periventricular or deep WMH. We determined the creatinine-based glomerular filtration rate and the urinary albumin-to-creatinine ratio (UACR) as markers of kidney function and studied their association with the scale of CSVD in univariate and ordinal logistic regression analyses. Results: Among the 975 patients included, 28.2% presented one or more CSVD markers, being the most prevalent marker (either alone or in combination) basal ganglia EPVS. The UACR was elevated at increasing the scores of the CSVD scale and remained as independent predictor of the combination of markers (common OR per natural log unit increase in UACR: 1.23, 1.07-1.41) after controlling per age, gender, cardiovascular risk, antihypertensive treatment and hypertension duration. In contrast, no associations were found between the CSVD scores and the creatinine-based estimated glomerular filtration rate. Conclusions: A significant proportion of stroke-free hypertensives present at least one imaging marker of CSVD. UACR but not creatinine-based glomerular filtration rate is associated with the combination of markers of CSVD. |
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We aimed at studying the relationship of kidney dysfunction with the combination of several markers of CSVD. Methods: Subjects are those included in the ISSYS cohort (Investigating Silent Strokes in hypertensives: a magnetic resonance imaging study). A scale ranging from 0 to 4 points was applied based on the presence (one point each) of lacunes, deep microbleeds, moderate to extensive basal ganglia enlarged perivascular spaces (EPVS), and periventricular or deep WMH. We determined the creatinine-based glomerular filtration rate and the urinary albumin-to-creatinine ratio (UACR) as markers of kidney function and studied their association with the scale of CSVD in univariate and ordinal logistic regression analyses. Results: Among the 975 patients included, 28.2% presented one or more CSVD markers, being the most prevalent marker (either alone or in combination) basal ganglia EPVS. The UACR was elevated at increasing the scores of the CSVD scale and remained as independent predictor of the combination of markers (common OR per natural log unit increase in UACR: 1.23, 1.07-1.41) after controlling per age, gender, cardiovascular risk, antihypertensive treatment and hypertension duration. In contrast, no associations were found between the CSVD scores and the creatinine-based estimated glomerular filtration rate. Conclusions: A significant proportion of stroke-free hypertensives present at least one imaging marker of CSVD. UACR but not creatinine-based glomerular filtration rate is associated with the combination of markers of CSVD.</description><identifier>ISSN: 1015-9770</identifier><identifier>EISSN: 1421-9786</identifier><identifier>DOI: 10.1159/000445168</identifier><identifier>PMID: 27031692</identifier><language>eng</language><publisher>Basel, Switzerland: S. Karger AG</publisher><subject>Aged ; Albumin ; Albuminuria - diagnosis ; Albuminuria - etiology ; Albuminuria - physiopathology ; Asymptomatic Diseases ; Biomarkers - blood ; Cardiovascular agents ; Cerebral Small Vessel Diseases - diagnostic imaging ; Cerebral Small Vessel Diseases - etiology ; Cerebral Small Vessel Diseases - physiopathology ; Chi-Square Distribution ; Creatinine - blood ; Diagnostic imaging ; Female ; Glomerular Filtration Rate ; Humans ; Hypertension ; Hypertension - complications ; Hypertension - diagnosis ; Hypertension - physiopathology ; Kidney - physiopathology ; Kidney diseases ; Logistic Models ; Magnetic Resonance Imaging ; Male ; Middle Aged ; Multivariate Analysis ; Odds Ratio ; Original Paper ; Predictive Value of Tests ; Risk Factors</subject><ispartof>Cerebrovascular diseases (Basel, Switzerland), 2016-01, Vol.42 (1-2), p.66-72</ispartof><rights>2016 S. Karger AG, Basel</rights><rights>2016 S. Karger AG, Basel.</rights><rights>COPYRIGHT 2016 S. Karger AG</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c466t-23e4d781825658a471ffc94d6be0cf1f6905940345364e456091c157b9720c743</citedby></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,2427,27923,27924</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/27031692$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Vilar-Bergua, Andrea</creatorcontrib><creatorcontrib>Riba-Llena, Iolanda</creatorcontrib><creatorcontrib>Ramos, Natalia</creatorcontrib><creatorcontrib>Mundet, Xavier</creatorcontrib><creatorcontrib>Espinel, Eugenia</creatorcontrib><creatorcontrib>López-Rueda, Antonio</creatorcontrib><creatorcontrib>Ostos, Elena</creatorcontrib><creatorcontrib>Seron, Daniel</creatorcontrib><creatorcontrib>Montaner, Joan</creatorcontrib><creatorcontrib>Delgado, Pilar</creatorcontrib><title>Microalbuminuria and the Combination of MRI Markers of Cerebral Small Vessel Disease</title><title>Cerebrovascular diseases (Basel, Switzerland)</title><addtitle>Cerebrovasc Dis</addtitle><description>Background: Kidney function has been related to the presence of individual markers of cerebral small vessel disease (CSVD), as lacunes, white matter hyperintensities (WMH) or microbleeds. We aimed at studying the relationship of kidney dysfunction with the combination of several markers of CSVD. Methods: Subjects are those included in the ISSYS cohort (Investigating Silent Strokes in hypertensives: a magnetic resonance imaging study). A scale ranging from 0 to 4 points was applied based on the presence (one point each) of lacunes, deep microbleeds, moderate to extensive basal ganglia enlarged perivascular spaces (EPVS), and periventricular or deep WMH. We determined the creatinine-based glomerular filtration rate and the urinary albumin-to-creatinine ratio (UACR) as markers of kidney function and studied their association with the scale of CSVD in univariate and ordinal logistic regression analyses. Results: Among the 975 patients included, 28.2% presented one or more CSVD markers, being the most prevalent marker (either alone or in combination) basal ganglia EPVS. The UACR was elevated at increasing the scores of the CSVD scale and remained as independent predictor of the combination of markers (common OR per natural log unit increase in UACR: 1.23, 1.07-1.41) after controlling per age, gender, cardiovascular risk, antihypertensive treatment and hypertension duration. In contrast, no associations were found between the CSVD scores and the creatinine-based estimated glomerular filtration rate. Conclusions: A significant proportion of stroke-free hypertensives present at least one imaging marker of CSVD. UACR but not creatinine-based glomerular filtration rate is associated with the combination of markers of CSVD.</description><subject>Aged</subject><subject>Albumin</subject><subject>Albuminuria - diagnosis</subject><subject>Albuminuria - etiology</subject><subject>Albuminuria - physiopathology</subject><subject>Asymptomatic Diseases</subject><subject>Biomarkers - blood</subject><subject>Cardiovascular agents</subject><subject>Cerebral Small Vessel Diseases - diagnostic imaging</subject><subject>Cerebral Small Vessel Diseases - etiology</subject><subject>Cerebral Small Vessel Diseases - physiopathology</subject><subject>Chi-Square Distribution</subject><subject>Creatinine - blood</subject><subject>Diagnostic imaging</subject><subject>Female</subject><subject>Glomerular Filtration Rate</subject><subject>Humans</subject><subject>Hypertension</subject><subject>Hypertension - complications</subject><subject>Hypertension - diagnosis</subject><subject>Hypertension - physiopathology</subject><subject>Kidney - physiopathology</subject><subject>Kidney diseases</subject><subject>Logistic Models</subject><subject>Magnetic Resonance Imaging</subject><subject>Male</subject><subject>Middle Aged</subject><subject>Multivariate Analysis</subject><subject>Odds Ratio</subject><subject>Original Paper</subject><subject>Predictive Value of Tests</subject><subject>Risk Factors</subject><issn>1015-9770</issn><issn>1421-9786</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2016</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNpd0UtLxDAQB_Agiu-Dd5GAIHpYzaR5NEdZn-Ai-LqGtDt1q2mrSXvw25tl1z14ygR-kwz_IeQA2DmANBeMMSEkqHyNbIPgMDI6V-upZiBTrdkW2YnxIzEFOWySLa5ZBsrwbfIyqcvQOV8MTd0OoXbUtVPaz5COu6aoW9fXXUu7ik6e7unEhU8McX4dY8AiOE-fG-c9fcMY0dOrOqKLuEc2Kucj7i_PXfJ6c_0yvhs9PN7ejy8fRqVQqh_xDMVU55BzqWTuhIaqKo2YqgJZWUGlDJNGsEzITAkUUjEDJUhdGM1ZqUW2S04X736F7nvA2NumjiV671rshmhB55nhwLhM9Pgf_eiG0KbpbIqEpXm4MkmdLNS782hn6Hw_i50f5iFEeylNmohLrRM8W8AUXowBK_sV6saFHwvMzndiVztJ9mj59VA0OF3JvyUkcLgAny68Y1iBZf8vV8qLIA</recordid><startdate>20160101</startdate><enddate>20160101</enddate><creator>Vilar-Bergua, Andrea</creator><creator>Riba-Llena, Iolanda</creator><creator>Ramos, Natalia</creator><creator>Mundet, Xavier</creator><creator>Espinel, Eugenia</creator><creator>López-Rueda, Antonio</creator><creator>Ostos, Elena</creator><creator>Seron, Daniel</creator><creator>Montaner, Joan</creator><creator>Delgado, Pilar</creator><general>S. Karger AG</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>7TK</scope><scope>K9.</scope><scope>7X8</scope></search><sort><creationdate>20160101</creationdate><title>Microalbuminuria and the Combination of MRI Markers of Cerebral Small Vessel Disease</title><author>Vilar-Bergua, Andrea ; Riba-Llena, Iolanda ; Ramos, Natalia ; Mundet, Xavier ; Espinel, Eugenia ; López-Rueda, Antonio ; Ostos, Elena ; Seron, Daniel ; Montaner, Joan ; Delgado, Pilar</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c466t-23e4d781825658a471ffc94d6be0cf1f6905940345364e456091c157b9720c743</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2016</creationdate><topic>Aged</topic><topic>Albumin</topic><topic>Albuminuria - diagnosis</topic><topic>Albuminuria - etiology</topic><topic>Albuminuria - physiopathology</topic><topic>Asymptomatic Diseases</topic><topic>Biomarkers - blood</topic><topic>Cardiovascular agents</topic><topic>Cerebral Small Vessel Diseases - diagnostic imaging</topic><topic>Cerebral Small Vessel Diseases - etiology</topic><topic>Cerebral Small Vessel Diseases - physiopathology</topic><topic>Chi-Square Distribution</topic><topic>Creatinine - blood</topic><topic>Diagnostic imaging</topic><topic>Female</topic><topic>Glomerular Filtration Rate</topic><topic>Humans</topic><topic>Hypertension</topic><topic>Hypertension - complications</topic><topic>Hypertension - diagnosis</topic><topic>Hypertension - physiopathology</topic><topic>Kidney - physiopathology</topic><topic>Kidney diseases</topic><topic>Logistic Models</topic><topic>Magnetic Resonance Imaging</topic><topic>Male</topic><topic>Middle Aged</topic><topic>Multivariate Analysis</topic><topic>Odds Ratio</topic><topic>Original Paper</topic><topic>Predictive Value of Tests</topic><topic>Risk Factors</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Vilar-Bergua, Andrea</creatorcontrib><creatorcontrib>Riba-Llena, Iolanda</creatorcontrib><creatorcontrib>Ramos, Natalia</creatorcontrib><creatorcontrib>Mundet, Xavier</creatorcontrib><creatorcontrib>Espinel, Eugenia</creatorcontrib><creatorcontrib>López-Rueda, Antonio</creatorcontrib><creatorcontrib>Ostos, Elena</creatorcontrib><creatorcontrib>Seron, Daniel</creatorcontrib><creatorcontrib>Montaner, Joan</creatorcontrib><creatorcontrib>Delgado, Pilar</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Neurosciences Abstracts</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>MEDLINE - Academic</collection><jtitle>Cerebrovascular diseases (Basel, Switzerland)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Vilar-Bergua, Andrea</au><au>Riba-Llena, Iolanda</au><au>Ramos, Natalia</au><au>Mundet, Xavier</au><au>Espinel, Eugenia</au><au>López-Rueda, Antonio</au><au>Ostos, Elena</au><au>Seron, Daniel</au><au>Montaner, Joan</au><au>Delgado, Pilar</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Microalbuminuria and the Combination of MRI Markers of Cerebral Small Vessel Disease</atitle><jtitle>Cerebrovascular diseases (Basel, Switzerland)</jtitle><addtitle>Cerebrovasc Dis</addtitle><date>2016-01-01</date><risdate>2016</risdate><volume>42</volume><issue>1-2</issue><spage>66</spage><epage>72</epage><pages>66-72</pages><issn>1015-9770</issn><eissn>1421-9786</eissn><abstract>Background: Kidney function has been related to the presence of individual markers of cerebral small vessel disease (CSVD), as lacunes, white matter hyperintensities (WMH) or microbleeds. We aimed at studying the relationship of kidney dysfunction with the combination of several markers of CSVD. Methods: Subjects are those included in the ISSYS cohort (Investigating Silent Strokes in hypertensives: a magnetic resonance imaging study). A scale ranging from 0 to 4 points was applied based on the presence (one point each) of lacunes, deep microbleeds, moderate to extensive basal ganglia enlarged perivascular spaces (EPVS), and periventricular or deep WMH. We determined the creatinine-based glomerular filtration rate and the urinary albumin-to-creatinine ratio (UACR) as markers of kidney function and studied their association with the scale of CSVD in univariate and ordinal logistic regression analyses. Results: Among the 975 patients included, 28.2% presented one or more CSVD markers, being the most prevalent marker (either alone or in combination) basal ganglia EPVS. The UACR was elevated at increasing the scores of the CSVD scale and remained as independent predictor of the combination of markers (common OR per natural log unit increase in UACR: 1.23, 1.07-1.41) after controlling per age, gender, cardiovascular risk, antihypertensive treatment and hypertension duration. In contrast, no associations were found between the CSVD scores and the creatinine-based estimated glomerular filtration rate. Conclusions: A significant proportion of stroke-free hypertensives present at least one imaging marker of CSVD. UACR but not creatinine-based glomerular filtration rate is associated with the combination of markers of CSVD.</abstract><cop>Basel, Switzerland</cop><pub>S. Karger AG</pub><pmid>27031692</pmid><doi>10.1159/000445168</doi><tpages>7</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Aged Albumin Albuminuria - diagnosis Albuminuria - etiology Albuminuria - physiopathology Asymptomatic Diseases Biomarkers - blood Cardiovascular agents Cerebral Small Vessel Diseases - diagnostic imaging Cerebral Small Vessel Diseases - etiology Cerebral Small Vessel Diseases - physiopathology Chi-Square Distribution Creatinine - blood Diagnostic imaging Female Glomerular Filtration Rate Humans Hypertension Hypertension - complications Hypertension - diagnosis Hypertension - physiopathology Kidney - physiopathology Kidney diseases Logistic Models Magnetic Resonance Imaging Male Middle Aged Multivariate Analysis Odds Ratio Original Paper Predictive Value of Tests Risk Factors |
title | Microalbuminuria and the Combination of MRI Markers of Cerebral Small Vessel Disease |
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