Phenotypic features of vascular calcification in chronic kidney disease
Background Patients with chronic kidney disease stage 5 (CKD5) are predisposed to vascular calcification (VC), but the combined effect of factors associated with VC was sparsely investigated. We applied the relaxed linear separability (RLS) feature selection model to identify features that concomita...
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| Veröffentlicht in: | Journal of internal medicine 2020-04, Vol.287 (4), p.422-434 |
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| creator | Dai, L. Debowska, M. Lukaszuk, T. Bobrowski, L. Barany, P. Söderberg, M. Thiagarajan, D. Frostegård, J. Wennberg, L. Lindholm, B. Qureshi, A. R. Waniewski, J. Stenvinkel, P. |
| description | Background
Patients with chronic kidney disease stage 5 (CKD5) are predisposed to vascular calcification (VC), but the combined effect of factors associated with VC was sparsely investigated. We applied the relaxed linear separability (RLS) feature selection model to identify features that concomitantly associate with VC in CKD5 patients.
Methods
Epigastric arteries collected during surgery from living donor kidney transplant recipients were examined to score the histological extent of medial VC. Sixty‐two phenotypic features in 152 patients were entered into RLS model to differentiate between no–minimal VC (n = 93; score 0‐1) and moderate–extensive VC (n = 59; score 2‐3). The subset of features associated with VC was selected on the basis of cross‐validation procedure. The strength of association of the selected features with VC was expressed by the absolute value of ‘RLS factor’.
Results
Among 62 features, a subset of 17 features provided optimal prediction of VC with 89% of patients correctly classified into their groups. The 17 features included traditional risk factors (diabetes, age, cholesterol, BMI and male sex) and markers of bone metabolism, endothelial function, metabolites, serum antibodies and mitochondrial‐derived peptide. Positive RLS factors range from 1.26 to 4.05 indicating features associated with increased risk of VC, and negative RLS factors range from −0.95 to −1.83 indicating features associated with reduced risk of VC.
Conclusion
The RLS model identified 17 features including novel biomarkers and traditional risk factors that together concomitantly associated with medial VC. These results may inform further investigations of factors promoting VC in CKD5 patients. |
| doi_str_mv | 10.1111/joim.13012 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_swepu</sourceid><recordid>TN_cdi_swepub_primary_oai_swepub_ki_se_474991</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2381569556</sourcerecordid><originalsourceid>FETCH-LOGICAL-c4312-a721616f4a0219f2482b17e87e027581d389d71fc61973b2e19460488e2fb1783</originalsourceid><addsrcrecordid>eNp90E1rGzEQBmBRWmon7aU_oCz0VthEI2m10rGYNh84uIfkLGTtiMgfK1fyJvjfV846OUaXEcPDy_AS8g3oBZR3uYphewGcAvtApsBlU7NWy49kSnUjaqkYnZCznFeUFiTpZzLhoBgXTTMlV38fsY_7wy64yqPdDwlzFX31ZLMbNjZVzm5c8MHZfYh9FfrKPabYF70OXY-HqgsZbcYv5JO3m4xfT_OcPPz5fT-7rueLq5vZr3ntBAdW25aBBOmFpQy0Z0KxJbSoWqSsbRR0XOmuBe8k6JYvGYIWkgqlkPkCFT8n9Zibn3E3LM0uha1NBxNtMKfVuvzQiFZoDcX_GP0uxX8D5r1ZxSH15UTDuIJG6qaRRf0clUsx54T-LReoOXZsjh2bl44L_n6KHJZb7N7oa6kFwAiewwYP70SZ28XN3Rj6HwPThYU</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2381569556</pqid></control><display><type>article</type><title>Phenotypic features of vascular calcification in chronic kidney disease</title><source>Wiley Free Content</source><source>MEDLINE</source><source>Wiley Online Library Journals Frontfile Complete</source><source>Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals</source><creator>Dai, L. ; Debowska, M. ; Lukaszuk, T. ; Bobrowski, L. ; Barany, P. ; Söderberg, M. ; Thiagarajan, D. ; Frostegård, J. ; Wennberg, L. ; Lindholm, B. ; Qureshi, A. R. ; Waniewski, J. ; Stenvinkel, P.</creator><creatorcontrib>Dai, L. ; Debowska, M. ; Lukaszuk, T. ; Bobrowski, L. ; Barany, P. ; Söderberg, M. ; Thiagarajan, D. ; Frostegård, J. ; Wennberg, L. ; Lindholm, B. ; Qureshi, A. R. ; Waniewski, J. ; Stenvinkel, P.</creatorcontrib><description>Background
Patients with chronic kidney disease stage 5 (CKD5) are predisposed to vascular calcification (VC), but the combined effect of factors associated with VC was sparsely investigated. We applied the relaxed linear separability (RLS) feature selection model to identify features that concomitantly associate with VC in CKD5 patients.
Methods
Epigastric arteries collected during surgery from living donor kidney transplant recipients were examined to score the histological extent of medial VC. Sixty‐two phenotypic features in 152 patients were entered into RLS model to differentiate between no–minimal VC (n = 93; score 0‐1) and moderate–extensive VC (n = 59; score 2‐3). The subset of features associated with VC was selected on the basis of cross‐validation procedure. The strength of association of the selected features with VC was expressed by the absolute value of ‘RLS factor’.
Results
Among 62 features, a subset of 17 features provided optimal prediction of VC with 89% of patients correctly classified into their groups. The 17 features included traditional risk factors (diabetes, age, cholesterol, BMI and male sex) and markers of bone metabolism, endothelial function, metabolites, serum antibodies and mitochondrial‐derived peptide. Positive RLS factors range from 1.26 to 4.05 indicating features associated with increased risk of VC, and negative RLS factors range from −0.95 to −1.83 indicating features associated with reduced risk of VC.
Conclusion
The RLS model identified 17 features including novel biomarkers and traditional risk factors that together concomitantly associated with medial VC. These results may inform further investigations of factors promoting VC in CKD5 patients.</description><identifier>ISSN: 0954-6820</identifier><identifier>EISSN: 1365-2796</identifier><identifier>DOI: 10.1111/joim.13012</identifier><identifier>PMID: 31823455</identifier><language>eng</language><publisher>England: Blackwell Publishing Ltd</publisher><subject>Adult ; Age Factors ; Aged ; Antibodies ; Arteries ; Biomarkers ; Body Mass Index ; Bone turnover ; Calcification ; Calcification (ectopic) ; Cholesterol ; Cholesterol - blood ; chronic kidney disease ; Diabetes Complications - pathology ; Diabetes mellitus ; Female ; Health risks ; Humans ; Identification methods ; Kidney diseases ; Kidney transplantation ; Male ; Metabolism ; Metabolites ; Middle Aged ; Mitochondria ; Phenotype ; relaxed linear separability (RLS) method ; Renal Insufficiency, Chronic - complications ; Renal Insufficiency, Chronic - pathology ; Risk analysis ; Risk Factors ; Risk management ; Severity of Illness Index ; Sex Factors ; Surgery ; vascular calcification ; Vascular Calcification - etiology ; Vascular Calcification - pathology ; Young Adult</subject><ispartof>Journal of internal medicine, 2020-04, Vol.287 (4), p.422-434</ispartof><rights>2019 The Association for the Publication of the Journal of Internal Medicine</rights><rights>2019 The Association for the Publication of the Journal of Internal Medicine.</rights><rights>Copyright © 2020 The Association for the Publication of the Journal of Internal Medicine</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c4312-a721616f4a0219f2482b17e87e027581d389d71fc61973b2e19460488e2fb1783</citedby><cites>FETCH-LOGICAL-c4312-a721616f4a0219f2482b17e87e027581d389d71fc61973b2e19460488e2fb1783</cites><orcidid>0000-0003-0536-5327 ; 0000-0002-8785-4820 ; 0000-0001-9036-3857 ; 0000-0002-3569-3367</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1111%2Fjoim.13012$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1111%2Fjoim.13012$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>230,314,776,780,881,1411,1427,27901,27902,45550,45551,46384,46808</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/31823455$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink><backlink>$$Uhttp://kipublications.ki.se/Default.aspx?queryparsed=id:142454593$$DView record from Swedish Publication Index$$Hfree_for_read</backlink></links><search><creatorcontrib>Dai, L.</creatorcontrib><creatorcontrib>Debowska, M.</creatorcontrib><creatorcontrib>Lukaszuk, T.</creatorcontrib><creatorcontrib>Bobrowski, L.</creatorcontrib><creatorcontrib>Barany, P.</creatorcontrib><creatorcontrib>Söderberg, M.</creatorcontrib><creatorcontrib>Thiagarajan, D.</creatorcontrib><creatorcontrib>Frostegård, J.</creatorcontrib><creatorcontrib>Wennberg, L.</creatorcontrib><creatorcontrib>Lindholm, B.</creatorcontrib><creatorcontrib>Qureshi, A. R.</creatorcontrib><creatorcontrib>Waniewski, J.</creatorcontrib><creatorcontrib>Stenvinkel, P.</creatorcontrib><title>Phenotypic features of vascular calcification in chronic kidney disease</title><title>Journal of internal medicine</title><addtitle>J Intern Med</addtitle><description>Background
Patients with chronic kidney disease stage 5 (CKD5) are predisposed to vascular calcification (VC), but the combined effect of factors associated with VC was sparsely investigated. We applied the relaxed linear separability (RLS) feature selection model to identify features that concomitantly associate with VC in CKD5 patients.
Methods
Epigastric arteries collected during surgery from living donor kidney transplant recipients were examined to score the histological extent of medial VC. Sixty‐two phenotypic features in 152 patients were entered into RLS model to differentiate between no–minimal VC (n = 93; score 0‐1) and moderate–extensive VC (n = 59; score 2‐3). The subset of features associated with VC was selected on the basis of cross‐validation procedure. The strength of association of the selected features with VC was expressed by the absolute value of ‘RLS factor’.
Results
Among 62 features, a subset of 17 features provided optimal prediction of VC with 89% of patients correctly classified into their groups. The 17 features included traditional risk factors (diabetes, age, cholesterol, BMI and male sex) and markers of bone metabolism, endothelial function, metabolites, serum antibodies and mitochondrial‐derived peptide. Positive RLS factors range from 1.26 to 4.05 indicating features associated with increased risk of VC, and negative RLS factors range from −0.95 to −1.83 indicating features associated with reduced risk of VC.
Conclusion
The RLS model identified 17 features including novel biomarkers and traditional risk factors that together concomitantly associated with medial VC. These results may inform further investigations of factors promoting VC in CKD5 patients.</description><subject>Adult</subject><subject>Age Factors</subject><subject>Aged</subject><subject>Antibodies</subject><subject>Arteries</subject><subject>Biomarkers</subject><subject>Body Mass Index</subject><subject>Bone turnover</subject><subject>Calcification</subject><subject>Calcification (ectopic)</subject><subject>Cholesterol</subject><subject>Cholesterol - blood</subject><subject>chronic kidney disease</subject><subject>Diabetes Complications - pathology</subject><subject>Diabetes mellitus</subject><subject>Female</subject><subject>Health risks</subject><subject>Humans</subject><subject>Identification methods</subject><subject>Kidney diseases</subject><subject>Kidney transplantation</subject><subject>Male</subject><subject>Metabolism</subject><subject>Metabolites</subject><subject>Middle Aged</subject><subject>Mitochondria</subject><subject>Phenotype</subject><subject>relaxed linear separability (RLS) method</subject><subject>Renal Insufficiency, Chronic - complications</subject><subject>Renal Insufficiency, Chronic - pathology</subject><subject>Risk analysis</subject><subject>Risk Factors</subject><subject>Risk management</subject><subject>Severity of Illness Index</subject><subject>Sex Factors</subject><subject>Surgery</subject><subject>vascular calcification</subject><subject>Vascular Calcification - etiology</subject><subject>Vascular Calcification - pathology</subject><subject>Young Adult</subject><issn>0954-6820</issn><issn>1365-2796</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp90E1rGzEQBmBRWmon7aU_oCz0VthEI2m10rGYNh84uIfkLGTtiMgfK1fyJvjfV846OUaXEcPDy_AS8g3oBZR3uYphewGcAvtApsBlU7NWy49kSnUjaqkYnZCznFeUFiTpZzLhoBgXTTMlV38fsY_7wy64yqPdDwlzFX31ZLMbNjZVzm5c8MHZfYh9FfrKPabYF70OXY-HqgsZbcYv5JO3m4xfT_OcPPz5fT-7rueLq5vZr3ntBAdW25aBBOmFpQy0Z0KxJbSoWqSsbRR0XOmuBe8k6JYvGYIWkgqlkPkCFT8n9Zibn3E3LM0uha1NBxNtMKfVuvzQiFZoDcX_GP0uxX8D5r1ZxSH15UTDuIJG6qaRRf0clUsx54T-LReoOXZsjh2bl44L_n6KHJZb7N7oa6kFwAiewwYP70SZ28XN3Rj6HwPThYU</recordid><startdate>202004</startdate><enddate>202004</enddate><creator>Dai, L.</creator><creator>Debowska, M.</creator><creator>Lukaszuk, T.</creator><creator>Bobrowski, L.</creator><creator>Barany, P.</creator><creator>Söderberg, M.</creator><creator>Thiagarajan, D.</creator><creator>Frostegård, J.</creator><creator>Wennberg, L.</creator><creator>Lindholm, B.</creator><creator>Qureshi, A. R.</creator><creator>Waniewski, J.</creator><creator>Stenvinkel, P.</creator><general>Blackwell Publishing 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>7QL</scope><scope>C1K</scope><scope>K9.</scope><scope>ADTPV</scope><scope>AOWAS</scope><orcidid>https://orcid.org/0000-0003-0536-5327</orcidid><orcidid>https://orcid.org/0000-0002-8785-4820</orcidid><orcidid>https://orcid.org/0000-0001-9036-3857</orcidid><orcidid>https://orcid.org/0000-0002-3569-3367</orcidid></search><sort><creationdate>202004</creationdate><title>Phenotypic features of vascular calcification in chronic kidney disease</title><author>Dai, L. ; Debowska, M. ; Lukaszuk, T. ; Bobrowski, L. ; Barany, P. ; Söderberg, M. ; Thiagarajan, D. ; Frostegård, J. ; Wennberg, L. ; Lindholm, B. ; Qureshi, A. R. ; Waniewski, J. ; Stenvinkel, P.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c4312-a721616f4a0219f2482b17e87e027581d389d71fc61973b2e19460488e2fb1783</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Adult</topic><topic>Age Factors</topic><topic>Aged</topic><topic>Antibodies</topic><topic>Arteries</topic><topic>Biomarkers</topic><topic>Body Mass Index</topic><topic>Bone turnover</topic><topic>Calcification</topic><topic>Calcification (ectopic)</topic><topic>Cholesterol</topic><topic>Cholesterol - blood</topic><topic>chronic kidney disease</topic><topic>Diabetes Complications - pathology</topic><topic>Diabetes mellitus</topic><topic>Female</topic><topic>Health risks</topic><topic>Humans</topic><topic>Identification methods</topic><topic>Kidney diseases</topic><topic>Kidney transplantation</topic><topic>Male</topic><topic>Metabolism</topic><topic>Metabolites</topic><topic>Middle Aged</topic><topic>Mitochondria</topic><topic>Phenotype</topic><topic>relaxed linear separability (RLS) method</topic><topic>Renal Insufficiency, Chronic - complications</topic><topic>Renal Insufficiency, Chronic - pathology</topic><topic>Risk analysis</topic><topic>Risk Factors</topic><topic>Risk management</topic><topic>Severity of Illness Index</topic><topic>Sex Factors</topic><topic>Surgery</topic><topic>vascular calcification</topic><topic>Vascular Calcification - etiology</topic><topic>Vascular Calcification - pathology</topic><topic>Young Adult</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Dai, L.</creatorcontrib><creatorcontrib>Debowska, M.</creatorcontrib><creatorcontrib>Lukaszuk, T.</creatorcontrib><creatorcontrib>Bobrowski, L.</creatorcontrib><creatorcontrib>Barany, P.</creatorcontrib><creatorcontrib>Söderberg, M.</creatorcontrib><creatorcontrib>Thiagarajan, D.</creatorcontrib><creatorcontrib>Frostegård, J.</creatorcontrib><creatorcontrib>Wennberg, L.</creatorcontrib><creatorcontrib>Lindholm, B.</creatorcontrib><creatorcontrib>Qureshi, A. R.</creatorcontrib><creatorcontrib>Waniewski, J.</creatorcontrib><creatorcontrib>Stenvinkel, P.</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>SwePub</collection><collection>SwePub Articles</collection><jtitle>Journal of internal medicine</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Dai, L.</au><au>Debowska, M.</au><au>Lukaszuk, T.</au><au>Bobrowski, L.</au><au>Barany, P.</au><au>Söderberg, M.</au><au>Thiagarajan, D.</au><au>Frostegård, J.</au><au>Wennberg, L.</au><au>Lindholm, B.</au><au>Qureshi, A. R.</au><au>Waniewski, J.</au><au>Stenvinkel, P.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Phenotypic features of vascular calcification in chronic kidney disease</atitle><jtitle>Journal of internal medicine</jtitle><addtitle>J Intern Med</addtitle><date>2020-04</date><risdate>2020</risdate><volume>287</volume><issue>4</issue><spage>422</spage><epage>434</epage><pages>422-434</pages><issn>0954-6820</issn><eissn>1365-2796</eissn><abstract>Background
Patients with chronic kidney disease stage 5 (CKD5) are predisposed to vascular calcification (VC), but the combined effect of factors associated with VC was sparsely investigated. We applied the relaxed linear separability (RLS) feature selection model to identify features that concomitantly associate with VC in CKD5 patients.
Methods
Epigastric arteries collected during surgery from living donor kidney transplant recipients were examined to score the histological extent of medial VC. Sixty‐two phenotypic features in 152 patients were entered into RLS model to differentiate between no–minimal VC (n = 93; score 0‐1) and moderate–extensive VC (n = 59; score 2‐3). The subset of features associated with VC was selected on the basis of cross‐validation procedure. The strength of association of the selected features with VC was expressed by the absolute value of ‘RLS factor’.
Results
Among 62 features, a subset of 17 features provided optimal prediction of VC with 89% of patients correctly classified into their groups. The 17 features included traditional risk factors (diabetes, age, cholesterol, BMI and male sex) and markers of bone metabolism, endothelial function, metabolites, serum antibodies and mitochondrial‐derived peptide. Positive RLS factors range from 1.26 to 4.05 indicating features associated with increased risk of VC, and negative RLS factors range from −0.95 to −1.83 indicating features associated with reduced risk of VC.
Conclusion
The RLS model identified 17 features including novel biomarkers and traditional risk factors that together concomitantly associated with medial VC. These results may inform further investigations of factors promoting VC in CKD5 patients.</abstract><cop>England</cop><pub>Blackwell Publishing Ltd</pub><pmid>31823455</pmid><doi>10.1111/joim.13012</doi><tpages>13</tpages><orcidid>https://orcid.org/0000-0003-0536-5327</orcidid><orcidid>https://orcid.org/0000-0002-8785-4820</orcidid><orcidid>https://orcid.org/0000-0001-9036-3857</orcidid><orcidid>https://orcid.org/0000-0002-3569-3367</orcidid><oa>free_for_read</oa></addata></record> |
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| source | Wiley Free Content; MEDLINE; Wiley Online Library Journals Frontfile Complete; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals |
| subjects | Adult Age Factors Aged Antibodies Arteries Biomarkers Body Mass Index Bone turnover Calcification Calcification (ectopic) Cholesterol Cholesterol - blood chronic kidney disease Diabetes Complications - pathology Diabetes mellitus Female Health risks Humans Identification methods Kidney diseases Kidney transplantation Male Metabolism Metabolites Middle Aged Mitochondria Phenotype relaxed linear separability (RLS) method Renal Insufficiency, Chronic - complications Renal Insufficiency, Chronic - pathology Risk analysis Risk Factors Risk management Severity of Illness Index Sex Factors Surgery vascular calcification Vascular Calcification - etiology Vascular Calcification - pathology Young Adult |
| title | Phenotypic features of vascular calcification in chronic kidney disease |
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