Clinical predictors of outcome in patients with inflammatory dilated cardiomyopathy
The study objectives were to identify predictors of outcome in patients with inflammatory dilated cardiomyopathy (DCMi). From 2004 to 2008, 55 patients with biopsy-proven DCMi were identified and followed up for 58.2±19.8 months. Predictors of outcome were identified in a multivariable analysis with...
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| description | The study objectives were to identify predictors of outcome in patients with inflammatory dilated cardiomyopathy (DCMi).
From 2004 to 2008, 55 patients with biopsy-proven DCMi were identified and followed up for 58.2±19.8 months. Predictors of outcome were identified in a multivariable analysis with a Cox proportional hazards analysis. The primary endpoint was a composite of death, heart transplantation and hospitalization for heart failure or ventricular arrhythmias.
For the primary endpoint, a QTc interval >440msec (HR 2.84; 95% CI 1.03-7.87; p = 0.044), a glomerular filtration rate (GFR) |
| doi_str_mv | 10.1371/journal.pone.0188491 |
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From 2004 to 2008, 55 patients with biopsy-proven DCMi were identified and followed up for 58.2±19.8 months. Predictors of outcome were identified in a multivariable analysis with a Cox proportional hazards analysis. The primary endpoint was a composite of death, heart transplantation and hospitalization for heart failure or ventricular arrhythmias.
For the primary endpoint, a QTc interval >440msec (HR 2.84; 95% CI 1.03-7.87; p = 0.044), a glomerular filtration rate (GFR) <60ml/min/1.73m2 (HR 3.19; 95% CI 1.35-7.51; p = 0.008) and worsening of NYHA classification during follow-up (HR 2.48; 95% CI 1.01-6.10; p = 0.048) were univariate predictors, whereas left ventricular ejection fraction at baseline, NYHA class at entry, atrial fibrillation, treatment with digitalis or viral genome detection were not significantly related to outcome. After multivariable analysis, a GFR <60ml/min/1.73m2 (HR 3.04; 95% CI 1.21-7.66; p = 0.018) remained a predictor of adverse outcome.
In patients with DCMi, a prolonged QTc interval >440msec, a GFR<60ml/min/1.73m2 and worsening of NYHA classification during follow-up were univariate predictors of adverse prognosis. In contrast, NYHA classification at baseline, left ventricular ejection fraction, atrial fibrillation, treatment with digitalis or viral genome detection were not related to outcome. After multivariable analysis, a GFR <60ml/min/1.73m2 remained independently associated with adverse outcome.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0188491</identifier><identifier>PMID: 29267340</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Biology and Life Sciences ; Biopsy ; Cardiac arrhythmia ; Cardiology ; Cardiomyopathy ; Cardiovascular disease ; Care and treatment ; Classification ; Congestive cardiomyopathy ; Coronary vessels ; Digitalis ; Dilated cardiomyopathy ; Fibrillation ; Genomes ; Glomerular filtration rate ; Hazard identification ; Heart ; Heart diseases ; Heart failure ; Heart transplantation ; Identification methods ; Inflammation ; Intensive care ; Medical diagnosis ; Medicine and Health Sciences ; Mortality ; Patient outcomes ; Patients ; Physiological aspects ; Studies ; Systematic review ; Transplantation ; Treatment outcome ; Ventricle</subject><ispartof>PloS one, 2017-12, Vol.12 (12), p.e0188491-e0188491</ispartof><rights>COPYRIGHT 2017 Public Library of Science</rights><rights>2017 Karatolios 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>2017 Karatolios et al 2017 Karatolios et al</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c692t-77ef262e23ab3c981bc1c3717918b7a99dcc10968f39df7de0ddaf89f2d762f43</citedby><cites>FETCH-LOGICAL-c692t-77ef262e23ab3c981bc1c3717918b7a99dcc10968f39df7de0ddaf89f2d762f43</cites><orcidid>0000-0001-7996-7019</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/PMC5739391/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC5739391/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,860,881,2096,2915,23845,27901,27902,53766,53768,79343,79344</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/29267340$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><contributor>Bauer, Wolfgang Rudolf</contributor><creatorcontrib>Karatolios, Konstantinos</creatorcontrib><creatorcontrib>Holzendorf, Volker</creatorcontrib><creatorcontrib>Hatzis, George</creatorcontrib><creatorcontrib>Tousoulis, Dimitrios</creatorcontrib><creatorcontrib>Richter, Anette</creatorcontrib><creatorcontrib>Schieffer, Bernhard</creatorcontrib><creatorcontrib>Pankuweit, Sabine</creatorcontrib><title>Clinical predictors of outcome in patients with inflammatory dilated cardiomyopathy</title><title>PloS one</title><addtitle>PLoS One</addtitle><description>The study objectives were to identify predictors of outcome in patients with inflammatory dilated cardiomyopathy (DCMi).
From 2004 to 2008, 55 patients with biopsy-proven DCMi were identified and followed up for 58.2±19.8 months. Predictors of outcome were identified in a multivariable analysis with a Cox proportional hazards analysis. The primary endpoint was a composite of death, heart transplantation and hospitalization for heart failure or ventricular arrhythmias.
For the primary endpoint, a QTc interval >440msec (HR 2.84; 95% CI 1.03-7.87; p = 0.044), a glomerular filtration rate (GFR) <60ml/min/1.73m2 (HR 3.19; 95% CI 1.35-7.51; p = 0.008) and worsening of NYHA classification during follow-up (HR 2.48; 95% CI 1.01-6.10; p = 0.048) were univariate predictors, whereas left ventricular ejection fraction at baseline, NYHA class at entry, atrial fibrillation, treatment with digitalis or viral genome detection were not significantly related to outcome. After multivariable analysis, a GFR <60ml/min/1.73m2 (HR 3.04; 95% CI 1.21-7.66; p = 0.018) remained a predictor of adverse outcome.
In patients with DCMi, a prolonged QTc interval >440msec, a GFR<60ml/min/1.73m2 and worsening of NYHA classification during follow-up were univariate predictors of adverse prognosis. In contrast, NYHA classification at baseline, left ventricular ejection fraction, atrial fibrillation, treatment with digitalis or viral genome detection were not related to outcome. After multivariable analysis, a GFR <60ml/min/1.73m2 remained independently associated with adverse outcome.</description><subject>Biology and Life Sciences</subject><subject>Biopsy</subject><subject>Cardiac arrhythmia</subject><subject>Cardiology</subject><subject>Cardiomyopathy</subject><subject>Cardiovascular disease</subject><subject>Care and treatment</subject><subject>Classification</subject><subject>Congestive cardiomyopathy</subject><subject>Coronary vessels</subject><subject>Digitalis</subject><subject>Dilated cardiomyopathy</subject><subject>Fibrillation</subject><subject>Genomes</subject><subject>Glomerular filtration rate</subject><subject>Hazard identification</subject><subject>Heart</subject><subject>Heart diseases</subject><subject>Heart failure</subject><subject>Heart transplantation</subject><subject>Identification methods</subject><subject>Inflammation</subject><subject>Intensive care</subject><subject>Medical diagnosis</subject><subject>Medicine and Health Sciences</subject><subject>Mortality</subject><subject>Patient outcomes</subject><subject>Patients</subject><subject>Physiological aspects</subject><subject>Studies</subject><subject>Systematic review</subject><subject>Transplantation</subject><subject>Treatment 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predictors of outcome in patients with inflammatory dilated cardiomyopathy</title><author>Karatolios, Konstantinos ; Holzendorf, Volker ; Hatzis, George ; Tousoulis, Dimitrios ; Richter, Anette ; Schieffer, Bernhard ; Pankuweit, Sabine</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c692t-77ef262e23ab3c981bc1c3717918b7a99dcc10968f39df7de0ddaf89f2d762f43</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2017</creationdate><topic>Biology and Life Sciences</topic><topic>Biopsy</topic><topic>Cardiac arrhythmia</topic><topic>Cardiology</topic><topic>Cardiomyopathy</topic><topic>Cardiovascular disease</topic><topic>Care and treatment</topic><topic>Classification</topic><topic>Congestive cardiomyopathy</topic><topic>Coronary vessels</topic><topic>Digitalis</topic><topic>Dilated cardiomyopathy</topic><topic>Fibrillation</topic><topic>Genomes</topic><topic>Glomerular filtration rate</topic><topic>Hazard 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cardiomyopathy</atitle><jtitle>PloS one</jtitle><addtitle>PLoS One</addtitle><date>2017-12-21</date><risdate>2017</risdate><volume>12</volume><issue>12</issue><spage>e0188491</spage><epage>e0188491</epage><pages>e0188491-e0188491</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>The study objectives were to identify predictors of outcome in patients with inflammatory dilated cardiomyopathy (DCMi).
From 2004 to 2008, 55 patients with biopsy-proven DCMi were identified and followed up for 58.2±19.8 months. Predictors of outcome were identified in a multivariable analysis with a Cox proportional hazards analysis. The primary endpoint was a composite of death, heart transplantation and hospitalization for heart failure or ventricular arrhythmias.
For the primary endpoint, a QTc interval >440msec (HR 2.84; 95% CI 1.03-7.87; p = 0.044), a glomerular filtration rate (GFR) <60ml/min/1.73m2 (HR 3.19; 95% CI 1.35-7.51; p = 0.008) and worsening of NYHA classification during follow-up (HR 2.48; 95% CI 1.01-6.10; p = 0.048) were univariate predictors, whereas left ventricular ejection fraction at baseline, NYHA class at entry, atrial fibrillation, treatment with digitalis or viral genome detection were not significantly related to outcome. After multivariable analysis, a GFR <60ml/min/1.73m2 (HR 3.04; 95% CI 1.21-7.66; p = 0.018) remained a predictor of adverse outcome.
In patients with DCMi, a prolonged QTc interval >440msec, a GFR<60ml/min/1.73m2 and worsening of NYHA classification during follow-up were univariate predictors of adverse prognosis. In contrast, NYHA classification at baseline, left ventricular ejection fraction, atrial fibrillation, treatment with digitalis or viral genome detection were not related to outcome. After multivariable analysis, a GFR <60ml/min/1.73m2 remained independently associated with adverse outcome.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>29267340</pmid><doi>10.1371/journal.pone.0188491</doi><tpages>e0188491</tpages><orcidid>https://orcid.org/0000-0001-7996-7019</orcidid><oa>free_for_read</oa></addata></record> |
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| subjects | Biology and Life Sciences Biopsy Cardiac arrhythmia Cardiology Cardiomyopathy Cardiovascular disease Care and treatment Classification Congestive cardiomyopathy Coronary vessels Digitalis Dilated cardiomyopathy Fibrillation Genomes Glomerular filtration rate Hazard identification Heart Heart diseases Heart failure Heart transplantation Identification methods Inflammation Intensive care Medical diagnosis Medicine and Health Sciences Mortality Patient outcomes Patients Physiological aspects Studies Systematic review Transplantation Treatment outcome Ventricle |
| title | Clinical predictors of outcome in patients with inflammatory dilated cardiomyopathy |
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