Indexation of left ventricular mass to predict adverse clinical outcomes in pre-dialysis patients with chronic kidney disease: KoreaN cohort study of the outcome in patients with chronic kidney disease
No study has compared the clinical impact of indexation of left ventricular mass (LVM) on adverse clinical outcomes in pre-dialysis patients with chronic kidney disease (CKD). We reviewed 2,101 patients from a large-scale multi-center prospective study that gathered anthropometric and echocardiograp...
Gespeichert in:
| Veröffentlicht in: | PloS one 2020-05, Vol.15 (5), p.e0233310-e0233310 |
|---|---|
| Hauptverfasser: | , , , , , , , , |
| Format: | Artikel |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | e0233310 |
|---|---|
| container_issue | 5 |
| container_start_page | e0233310 |
| container_title | PloS one |
| container_volume | 15 |
| creator | Lee, Sung Woo Min, Hyang Ki Chae, Dong-Wan Oh, Kook-Hwan Ahn, Curie Chung, Wookyung Lee, Joongyub Kim, Yong-Soo Sung, Su Ah |
| description | No study has compared the clinical impact of indexation of left ventricular mass (LVM) on adverse clinical outcomes in pre-dialysis patients with chronic kidney disease (CKD).
We reviewed 2,101 patients from a large-scale multi-center prospective study that gathered anthropometric and echocardiographic measurements and clinical outcomes. The LVM was indexed as body surface area (LVMI-BSA) and height raised to the power of 2.7 (LVMI-H2.7). The main outcomes were composite renal and cardiovascular events and all-cause mortality. Left ventricular hypertrophy (LVH) was defined as the highest sex-specific quartile of LVMI-BSA or LVMI-H2.7.
During a mean period of 3.5 years, 692 patients developed composite outcomes (32.9%). The area under the curve at 5 year of LVM (60.6%) for composite outcome was smaller than that for LVMI-BSA (63.2%, P |
| doi_str_mv | 10.1371/journal.pone.0233310 |
| format | Article |
| fullrecord | <record><control><sourceid>gale_plos_</sourceid><recordid>TN_cdi_plos_journals_2404631320</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><galeid>A624371601</galeid><doaj_id>oai_doaj_org_article_06481b64270e4368976df92dbb861584</doaj_id><sourcerecordid>A624371601</sourcerecordid><originalsourceid>FETCH-LOGICAL-c692t-63cdc77fba905b4eadfee5df42cd49b32a3893a45f27d7246581d7de3bc48d1b3</originalsourceid><addsrcrecordid>eNqNk8tu1DAUQCMEoqXwBwgsISFYzOBXnIQFUlXxGFFRidfWcuybiYsnHmyndD6Rv8Jpp1UHdVFlkcg599i-j6J4SvCcsIq8OfVjGJSbr_0Ac0wZYwTfK_ZJw-hMUMzu3_jeKx7FeIpxyWohHhZ7jHJaY8L3i7-LwcC5StYPyHfIQZfQGQwpWD06FdBKxYiSR-sAxuqElDmDEAFpZwerlUN-TNqvICI7TNDMWOU20Ua0ztIsiuiPTT3SffA5AP2yZoANMjaCivAWffYB1Bekfe9DQjGNZjOdI_VwZb4Q38H1uHjQKRfhyfZ9UPz48P770afZ8cnHxdHh8UyLhqaZYNroqupa1eCy5aBMB1CajlNteNMyqljdMMXLjlamolyUNTGVAdZqXhvSsoPi-aV37XyU2ypESTnmghGWs31QLC4J49WpXAe7UmEjvbLyYsGHpVQhWe1AYsFr0gpOKwycibqphOkaatq2FqSseXa92-42tisweiqNcjvS3T-D7eXSn8mKMtE0IgtebQXB_x4hJrmyUYNzagA_Xpy7ZLiqMcvoi__Q22-3pZYqX8AOnc_76kkqDwXluTUFJpma30Llx8DK6tyync3rOwGvdwIyk-A8LdUYo1x8-3p39uTnLvvyBtuDcqmP3o1Tx8ddkF-COvgYA3TXSSZYThN3lQ05TZzcTlwOe3azQNdBVyPG_gE51Cqk</addsrcrecordid><sourcetype>Open Website</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2404631320</pqid></control><display><type>article</type><title>Indexation of left ventricular mass to predict adverse clinical outcomes in pre-dialysis patients with chronic kidney disease: KoreaN cohort study of the outcome in patients with chronic kidney disease</title><source>PubMed Central Free</source><source>DOAJ Directory of Open Access Journals</source><source>Public Library of Science (PLoS) Journals Open Access</source><source>EZB-FREE-00999 freely available EZB journals</source><source>Free Full-Text Journals in Chemistry</source><creator>Lee, Sung Woo ; Min, Hyang Ki ; Chae, Dong-Wan ; Oh, Kook-Hwan ; Ahn, Curie ; Chung, Wookyung ; Lee, Joongyub ; Kim, Yong-Soo ; Sung, Su Ah</creator><contributor>Wu, Ping-Hsun</contributor><creatorcontrib>Lee, Sung Woo ; Min, Hyang Ki ; Chae, Dong-Wan ; Oh, Kook-Hwan ; Ahn, Curie ; Chung, Wookyung ; Lee, Joongyub ; Kim, Yong-Soo ; Sung, Su Ah ; Representing the KNOW-CKD Study Group ; Representing the KNOW-CKD Study Group ; Wu, Ping-Hsun</creatorcontrib><description>No study has compared the clinical impact of indexation of left ventricular mass (LVM) on adverse clinical outcomes in pre-dialysis patients with chronic kidney disease (CKD).
We reviewed 2,101 patients from a large-scale multi-center prospective study that gathered anthropometric and echocardiographic measurements and clinical outcomes. The LVM was indexed as body surface area (LVMI-BSA) and height raised to the power of 2.7 (LVMI-H2.7). The main outcomes were composite renal and cardiovascular events and all-cause mortality. Left ventricular hypertrophy (LVH) was defined as the highest sex-specific quartile of LVMI-BSA or LVMI-H2.7.
During a mean period of 3.5 years, 692 patients developed composite outcomes (32.9%). The area under the curve at 5 year of LVM (60.6%) for composite outcome was smaller than that for LVMI-BSA (63.2%, P <0.001) and LVMI-H2.7 (63.4%, P <0.001). The hazard ratio (HR) and 95% confidence interval (CI) per one unit increase in LVM (g), LVMI-BSA (g/m2), and LVMI-H2.7 (g/m2.7) for composite outcomes were 1.004 (1.002-1.005, P <0.001), 1.011 (1.006-1.016, P <0.001), and 1.023 (1.012-1.035, P <0.001), respectively. Patients with LVH determined by LVMI-BSA and LVMI-H2.7 (HR 1.352, 95% CI 1.123-1.626, P = 0.001) and LVH determined by only LVMI-BSA (HR 1.908, 95% CI 1.233-2.953, P = 0.004) showed an independent increase in the risk of composite-outcome development, when compared with patients without LVH, according to LVMI-BSA and LVMI-H2.7.
Indexation of LVM improved the prediction of adverse outcomes. BSA may be as useful as height2.7 in indexing of LVM for predicting adverse outcomes in pre-dialysis patients with CKD.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0233310</identifier><identifier>PMID: 32428014</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Anthropometry ; Biology and Life Sciences ; Cardiovascular diseases ; Care and treatment ; Chronic kidney failure ; Clinical outcomes ; Cohort analysis ; Confidence intervals ; Diagnosis ; Dialysis ; Diseases ; Heart ; Heart hypertrophy ; Hemodialysis ; Hospitals ; Hypertension ; Hypertrophy ; Internal medicine ; Kidney diseases ; Kidneys ; Medical research ; Medicine ; Medicine and Health Sciences ; Mortality ; Normal distribution ; Patient outcomes ; Physical Sciences ; Power (Philosophy) ; Prognosis ; Regression analysis ; Research and Analysis Methods ; Variance analysis ; Ventricle</subject><ispartof>PloS one, 2020-05, Vol.15 (5), p.e0233310-e0233310</ispartof><rights>COPYRIGHT 2020 Public Library of Science</rights><rights>2020 Lee et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2020 Lee et al 2020 Lee et al</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c692t-63cdc77fba905b4eadfee5df42cd49b32a3893a45f27d7246581d7de3bc48d1b3</citedby><cites>FETCH-LOGICAL-c692t-63cdc77fba905b4eadfee5df42cd49b32a3893a45f27d7246581d7de3bc48d1b3</cites><orcidid>0000-0001-8434-9944 ; 0000-0002-5883-234X</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC7236996/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC7236996/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,864,885,2102,2928,23866,27924,27925,53791,53793,79600,79601</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/32428014$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><contributor>Wu, Ping-Hsun</contributor><creatorcontrib>Lee, Sung Woo</creatorcontrib><creatorcontrib>Min, Hyang Ki</creatorcontrib><creatorcontrib>Chae, Dong-Wan</creatorcontrib><creatorcontrib>Oh, Kook-Hwan</creatorcontrib><creatorcontrib>Ahn, Curie</creatorcontrib><creatorcontrib>Chung, Wookyung</creatorcontrib><creatorcontrib>Lee, Joongyub</creatorcontrib><creatorcontrib>Kim, Yong-Soo</creatorcontrib><creatorcontrib>Sung, Su Ah</creatorcontrib><creatorcontrib>Representing the KNOW-CKD Study Group</creatorcontrib><creatorcontrib>Representing the KNOW-CKD Study Group</creatorcontrib><title>Indexation of left ventricular mass to predict adverse clinical outcomes in pre-dialysis patients with chronic kidney disease: KoreaN cohort study of the outcome in patients with chronic kidney disease</title><title>PloS one</title><addtitle>PLoS One</addtitle><description>No study has compared the clinical impact of indexation of left ventricular mass (LVM) on adverse clinical outcomes in pre-dialysis patients with chronic kidney disease (CKD).
We reviewed 2,101 patients from a large-scale multi-center prospective study that gathered anthropometric and echocardiographic measurements and clinical outcomes. The LVM was indexed as body surface area (LVMI-BSA) and height raised to the power of 2.7 (LVMI-H2.7). The main outcomes were composite renal and cardiovascular events and all-cause mortality. Left ventricular hypertrophy (LVH) was defined as the highest sex-specific quartile of LVMI-BSA or LVMI-H2.7.
During a mean period of 3.5 years, 692 patients developed composite outcomes (32.9%). The area under the curve at 5 year of LVM (60.6%) for composite outcome was smaller than that for LVMI-BSA (63.2%, P <0.001) and LVMI-H2.7 (63.4%, P <0.001). The hazard ratio (HR) and 95% confidence interval (CI) per one unit increase in LVM (g), LVMI-BSA (g/m2), and LVMI-H2.7 (g/m2.7) for composite outcomes were 1.004 (1.002-1.005, P <0.001), 1.011 (1.006-1.016, P <0.001), and 1.023 (1.012-1.035, P <0.001), respectively. Patients with LVH determined by LVMI-BSA and LVMI-H2.7 (HR 1.352, 95% CI 1.123-1.626, P = 0.001) and LVH determined by only LVMI-BSA (HR 1.908, 95% CI 1.233-2.953, P = 0.004) showed an independent increase in the risk of composite-outcome development, when compared with patients without LVH, according to LVMI-BSA and LVMI-H2.7.
Indexation of LVM improved the prediction of adverse outcomes. BSA may be as useful as height2.7 in indexing of LVM for predicting adverse outcomes in pre-dialysis patients with CKD.</description><subject>Anthropometry</subject><subject>Biology and Life Sciences</subject><subject>Cardiovascular diseases</subject><subject>Care and treatment</subject><subject>Chronic kidney failure</subject><subject>Clinical outcomes</subject><subject>Cohort analysis</subject><subject>Confidence intervals</subject><subject>Diagnosis</subject><subject>Dialysis</subject><subject>Diseases</subject><subject>Heart</subject><subject>Heart hypertrophy</subject><subject>Hemodialysis</subject><subject>Hospitals</subject><subject>Hypertension</subject><subject>Hypertrophy</subject><subject>Internal medicine</subject><subject>Kidney diseases</subject><subject>Kidneys</subject><subject>Medical research</subject><subject>Medicine</subject><subject>Medicine and Health Sciences</subject><subject>Mortality</subject><subject>Normal distribution</subject><subject>Patient outcomes</subject><subject>Physical Sciences</subject><subject>Power (Philosophy)</subject><subject>Prognosis</subject><subject>Regression analysis</subject><subject>Research and Analysis Methods</subject><subject>Variance analysis</subject><subject>Ventricle</subject><issn>1932-6203</issn><issn>1932-6203</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><sourceid>DOA</sourceid><recordid>eNqNk8tu1DAUQCMEoqXwBwgsISFYzOBXnIQFUlXxGFFRidfWcuybiYsnHmyndD6Rv8Jpp1UHdVFlkcg599i-j6J4SvCcsIq8OfVjGJSbr_0Ac0wZYwTfK_ZJw-hMUMzu3_jeKx7FeIpxyWohHhZ7jHJaY8L3i7-LwcC5StYPyHfIQZfQGQwpWD06FdBKxYiSR-sAxuqElDmDEAFpZwerlUN-TNqvICI7TNDMWOU20Ua0ztIsiuiPTT3SffA5AP2yZoANMjaCivAWffYB1Bekfe9DQjGNZjOdI_VwZb4Q38H1uHjQKRfhyfZ9UPz48P770afZ8cnHxdHh8UyLhqaZYNroqupa1eCy5aBMB1CajlNteNMyqljdMMXLjlamolyUNTGVAdZqXhvSsoPi-aV37XyU2ypESTnmghGWs31QLC4J49WpXAe7UmEjvbLyYsGHpVQhWe1AYsFr0gpOKwycibqphOkaatq2FqSseXa92-42tisweiqNcjvS3T-D7eXSn8mKMtE0IgtebQXB_x4hJrmyUYNzagA_Xpy7ZLiqMcvoi__Q22-3pZYqX8AOnc_76kkqDwXluTUFJpma30Llx8DK6tyync3rOwGvdwIyk-A8LdUYo1x8-3p39uTnLvvyBtuDcqmP3o1Tx8ddkF-COvgYA3TXSSZYThN3lQ05TZzcTlwOe3azQNdBVyPG_gE51Cqk</recordid><startdate>20200519</startdate><enddate>20200519</enddate><creator>Lee, Sung Woo</creator><creator>Min, Hyang Ki</creator><creator>Chae, Dong-Wan</creator><creator>Oh, Kook-Hwan</creator><creator>Ahn, Curie</creator><creator>Chung, Wookyung</creator><creator>Lee, Joongyub</creator><creator>Kim, Yong-Soo</creator><creator>Sung, Su Ah</creator><general>Public Library of Science</general><general>Public Library of Science (PLoS)</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>IOV</scope><scope>ISR</scope><scope>3V.</scope><scope>7QG</scope><scope>7QL</scope><scope>7QO</scope><scope>7RV</scope><scope>7SN</scope><scope>7SS</scope><scope>7T5</scope><scope>7TG</scope><scope>7TM</scope><scope>7U9</scope><scope>7X2</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8C1</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>D1I</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>H94</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>KB.</scope><scope>KB0</scope><scope>KL.</scope><scope>L6V</scope><scope>LK8</scope><scope>M0K</scope><scope>M0S</scope><scope>M1P</scope><scope>M7N</scope><scope>M7P</scope><scope>M7S</scope><scope>NAPCQ</scope><scope>P5Z</scope><scope>P62</scope><scope>P64</scope><scope>PATMY</scope><scope>PDBOC</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PTHSS</scope><scope>PYCSY</scope><scope>RC3</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0001-8434-9944</orcidid><orcidid>https://orcid.org/0000-0002-5883-234X</orcidid></search><sort><creationdate>20200519</creationdate><title>Indexation of left ventricular mass to predict adverse clinical outcomes in pre-dialysis patients with chronic kidney disease: KoreaN cohort study of the outcome in patients with chronic kidney disease</title><author>Lee, Sung Woo ; Min, Hyang Ki ; Chae, Dong-Wan ; Oh, Kook-Hwan ; Ahn, Curie ; Chung, Wookyung ; Lee, Joongyub ; Kim, Yong-Soo ; Sung, Su Ah</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c692t-63cdc77fba905b4eadfee5df42cd49b32a3893a45f27d7246581d7de3bc48d1b3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Anthropometry</topic><topic>Biology and Life Sciences</topic><topic>Cardiovascular diseases</topic><topic>Care and treatment</topic><topic>Chronic kidney failure</topic><topic>Clinical outcomes</topic><topic>Cohort analysis</topic><topic>Confidence intervals</topic><topic>Diagnosis</topic><topic>Dialysis</topic><topic>Diseases</topic><topic>Heart</topic><topic>Heart hypertrophy</topic><topic>Hemodialysis</topic><topic>Hospitals</topic><topic>Hypertension</topic><topic>Hypertrophy</topic><topic>Internal medicine</topic><topic>Kidney diseases</topic><topic>Kidneys</topic><topic>Medical research</topic><topic>Medicine</topic><topic>Medicine and Health Sciences</topic><topic>Mortality</topic><topic>Normal distribution</topic><topic>Patient outcomes</topic><topic>Physical Sciences</topic><topic>Power (Philosophy)</topic><topic>Prognosis</topic><topic>Regression analysis</topic><topic>Research and Analysis Methods</topic><topic>Variance analysis</topic><topic>Ventricle</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Lee, Sung Woo</creatorcontrib><creatorcontrib>Min, Hyang Ki</creatorcontrib><creatorcontrib>Chae, Dong-Wan</creatorcontrib><creatorcontrib>Oh, Kook-Hwan</creatorcontrib><creatorcontrib>Ahn, Curie</creatorcontrib><creatorcontrib>Chung, Wookyung</creatorcontrib><creatorcontrib>Lee, Joongyub</creatorcontrib><creatorcontrib>Kim, Yong-Soo</creatorcontrib><creatorcontrib>Sung, Su Ah</creatorcontrib><creatorcontrib>Representing the KNOW-CKD Study Group</creatorcontrib><creatorcontrib>Representing the KNOW-CKD Study Group</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>Gale In Context: Opposing Viewpoints</collection><collection>Gale In Context: Science</collection><collection>ProQuest Central (Corporate)</collection><collection>Animal Behavior Abstracts</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Biotechnology Research Abstracts</collection><collection>Nursing & Allied Health Database</collection><collection>Ecology Abstracts</collection><collection>Entomology Abstracts (Full archive)</collection><collection>Immunology Abstracts</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Nucleic Acids Abstracts</collection><collection>Virology and AIDS Abstracts</collection><collection>Agricultural Science Collection</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Public Health Database</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology 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>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>Advanced Technologies & Aerospace Collection</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>Natural Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Materials Science Collection</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Materials Science Database</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>Meteorological & Geoastrophysical Abstracts - Academic</collection><collection>ProQuest Engineering Collection</collection><collection>ProQuest Biological Science Collection</collection><collection>Agricultural Science Database</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>Biological Science Database</collection><collection>Engineering Database</collection><collection>Nursing & Allied Health Premium</collection><collection>Advanced Technologies & Aerospace Database</collection><collection>ProQuest Advanced Technologies & Aerospace Collection</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Environmental Science Database</collection><collection>Materials Science Collection</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>Engineering Collection</collection><collection>Environmental Science Collection</collection><collection>Genetics Abstracts</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>PloS one</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Lee, Sung Woo</au><au>Min, Hyang Ki</au><au>Chae, Dong-Wan</au><au>Oh, Kook-Hwan</au><au>Ahn, Curie</au><au>Chung, Wookyung</au><au>Lee, Joongyub</au><au>Kim, Yong-Soo</au><au>Sung, Su Ah</au><au>Wu, Ping-Hsun</au><aucorp>Representing the KNOW-CKD Study Group</aucorp><aucorp>Representing the KNOW-CKD Study Group</aucorp><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Indexation of left ventricular mass to predict adverse clinical outcomes in pre-dialysis patients with chronic kidney disease: KoreaN cohort study of the outcome in patients with chronic kidney disease</atitle><jtitle>PloS one</jtitle><addtitle>PLoS One</addtitle><date>2020-05-19</date><risdate>2020</risdate><volume>15</volume><issue>5</issue><spage>e0233310</spage><epage>e0233310</epage><pages>e0233310-e0233310</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>No study has compared the clinical impact of indexation of left ventricular mass (LVM) on adverse clinical outcomes in pre-dialysis patients with chronic kidney disease (CKD).
We reviewed 2,101 patients from a large-scale multi-center prospective study that gathered anthropometric and echocardiographic measurements and clinical outcomes. The LVM was indexed as body surface area (LVMI-BSA) and height raised to the power of 2.7 (LVMI-H2.7). The main outcomes were composite renal and cardiovascular events and all-cause mortality. Left ventricular hypertrophy (LVH) was defined as the highest sex-specific quartile of LVMI-BSA or LVMI-H2.7.
During a mean period of 3.5 years, 692 patients developed composite outcomes (32.9%). The area under the curve at 5 year of LVM (60.6%) for composite outcome was smaller than that for LVMI-BSA (63.2%, P <0.001) and LVMI-H2.7 (63.4%, P <0.001). The hazard ratio (HR) and 95% confidence interval (CI) per one unit increase in LVM (g), LVMI-BSA (g/m2), and LVMI-H2.7 (g/m2.7) for composite outcomes were 1.004 (1.002-1.005, P <0.001), 1.011 (1.006-1.016, P <0.001), and 1.023 (1.012-1.035, P <0.001), respectively. Patients with LVH determined by LVMI-BSA and LVMI-H2.7 (HR 1.352, 95% CI 1.123-1.626, P = 0.001) and LVH determined by only LVMI-BSA (HR 1.908, 95% CI 1.233-2.953, P = 0.004) showed an independent increase in the risk of composite-outcome development, when compared with patients without LVH, according to LVMI-BSA and LVMI-H2.7.
Indexation of LVM improved the prediction of adverse outcomes. BSA may be as useful as height2.7 in indexing of LVM for predicting adverse outcomes in pre-dialysis patients with CKD.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>32428014</pmid><doi>10.1371/journal.pone.0233310</doi><tpages>e0233310</tpages><orcidid>https://orcid.org/0000-0001-8434-9944</orcidid><orcidid>https://orcid.org/0000-0002-5883-234X</orcidid><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 1932-6203 |
| ispartof | PloS one, 2020-05, Vol.15 (5), p.e0233310-e0233310 |
| issn | 1932-6203 1932-6203 |
| language | eng |
| recordid | cdi_plos_journals_2404631320 |
| source | PubMed Central Free; DOAJ Directory of Open Access Journals; Public Library of Science (PLoS) Journals Open Access; EZB-FREE-00999 freely available EZB journals; Free Full-Text Journals in Chemistry |
| subjects | Anthropometry Biology and Life Sciences Cardiovascular diseases Care and treatment Chronic kidney failure Clinical outcomes Cohort analysis Confidence intervals Diagnosis Dialysis Diseases Heart Heart hypertrophy Hemodialysis Hospitals Hypertension Hypertrophy Internal medicine Kidney diseases Kidneys Medical research Medicine Medicine and Health Sciences Mortality Normal distribution Patient outcomes Physical Sciences Power (Philosophy) Prognosis Regression analysis Research and Analysis Methods Variance analysis Ventricle |
| title | Indexation of left ventricular mass to predict adverse clinical outcomes in pre-dialysis patients with chronic kidney disease: KoreaN cohort study of the outcome in patients with chronic kidney disease |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-28T15%3A21%3A29IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-gale_plos_&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Indexation%20of%20left%20ventricular%20mass%20to%20predict%20adverse%20clinical%20outcomes%20in%20pre-dialysis%20patients%20with%20chronic%20kidney%20disease:%20KoreaN%20cohort%20study%20of%20the%20outcome%20in%20patients%20with%20chronic%20kidney%20disease&rft.jtitle=PloS%20one&rft.au=Lee,%20Sung%20Woo&rft.aucorp=Representing%20the%20KNOW-CKD%20Study%20Group&rft.date=2020-05-19&rft.volume=15&rft.issue=5&rft.spage=e0233310&rft.epage=e0233310&rft.pages=e0233310-e0233310&rft.issn=1932-6203&rft.eissn=1932-6203&rft_id=info:doi/10.1371/journal.pone.0233310&rft_dat=%3Cgale_plos_%3EA624371601%3C/gale_plos_%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2404631320&rft_id=info:pmid/32428014&rft_galeid=A624371601&rft_doaj_id=oai_doaj_org_article_06481b64270e4368976df92dbb861584&rfr_iscdi=true |