Ratio of Early Mitral Inflow Velocity to the Global Diastolic Strain Rate and Global Left Ventricular Longitudinal Systolic Strain Predict Overall Mortality and Major Adverse Cardiovascular Events in Hemodialysis Patients

Background. The ratio of early mitral inflow velocity to the global diastolic strain rate (E/E’sr) and global longitudinal systolic strain (GLS) of the left ventricle (LV) are emerging indices of diastolic and systolic functions, respectively, for the LV. Their prognostic significance in the predict...

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Veröffentlicht in:Disease markers 2019, Vol.2019 (2019), p.1-12
Hauptverfasser: Chen, Hung-Chun, Chang, Jer-Ming, Chiu, Yi-Wen, Chen, Szu-Chia, Lee, Wen-Hsien, Lee, Jia-Jung, Wu, Pei-Yu, Su, Ho-Ming, Huang, Jiun-Chi, Hsu, Ya-Ling
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container_end_page 12
container_issue 2019
container_start_page 1
container_title Disease markers
container_volume 2019
creator Chen, Hung-Chun
Chang, Jer-Ming
Chiu, Yi-Wen
Chen, Szu-Chia
Lee, Wen-Hsien
Lee, Jia-Jung
Wu, Pei-Yu
Su, Ho-Ming
Huang, Jiun-Chi
Hsu, Ya-Ling
description Background. The ratio of early mitral inflow velocity to the global diastolic strain rate (E/E’sr) and global longitudinal systolic strain (GLS) of the left ventricle (LV) are emerging indices of diastolic and systolic functions, respectively, for the LV. Their prognostic significance in the prediction of mortality and cardiovascular (CV) outcomes remains underexplored in hemodialysis (HD) patients. Methods. This prospective study included 190 maintenance HD patients. The E/E’sr ratio and GLS were assessed using two-dimensional speckle tracking echocardiography. The clinical outcomes included overall mortality, CV mortality, and major adverse cardiovascular events (MACE). The associations between the E/E’sr ratio, GLS, and clinical outcomes were evaluated using multivariate Cox regression analysis. The incremental values of the E/E’sr ratio and GLS in outcome prediction were assessed by χ2 changes in Cox models. Results. Over a median follow-up period of 3.7 years, there were 35 overall deaths, 16 CV deaths, and 45 MACE. Impaired diastolic function with a higher E/E’sr ratio was associated with overall mortality (HR, 1.484; 95% CI, 1.201−1.834; p
doi_str_mv 10.1155/2019/7512805
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The ratio of early mitral inflow velocity to the global diastolic strain rate (E/E’sr) and global longitudinal systolic strain (GLS) of the left ventricle (LV) are emerging indices of diastolic and systolic functions, respectively, for the LV. Their prognostic significance in the prediction of mortality and cardiovascular (CV) outcomes remains underexplored in hemodialysis (HD) patients. Methods. This prospective study included 190 maintenance HD patients. The E/E’sr ratio and GLS were assessed using two-dimensional speckle tracking echocardiography. The clinical outcomes included overall mortality, CV mortality, and major adverse cardiovascular events (MACE). The associations between the E/E’sr ratio, GLS, and clinical outcomes were evaluated using multivariate Cox regression analysis. The incremental values of the E/E’sr ratio and GLS in outcome prediction were assessed by χ2 changes in Cox models. Results. Over a median follow-up period of 3.7 years, there were 35 overall deaths, 16 CV deaths, and 45 MACE. Impaired diastolic function with a higher E/E’sr ratio was associated with overall mortality (HR, 1.484; 95% CI, 1.201−1.834; p&lt;0.001), CV mortality (HR, 1.584; 95% CI, 1.058–2.371; p=0.025), and MACE (HR, 1.205; 95% CI, 1.040−1.397; p=0.013) in multivariate adjusted Cox analysis. Worsening GLS was associated with overall mortality (HR, 1.276; 95% CI, 1.101−1.480; p=0.001), CV mortality (HR, 1.513; 95% CI, 1.088−2.104; p=0.014), and MACE (HR, 1.214; 95% CI, 1.103−1.337; p&lt;0.001). The E/E’sr ratio and GLS had better outcome prediction than the E to early diastolic mitral annular velocity (E/E’) ratio and left ventricular ejection fraction (LVEF). Moreover, adding the E/E’sr ratio and GLS to Cox models containing relevant clinical and conventional echocardiographic parameters improved the prediction of overall mortality (p&lt;0.001), CV mortality (p&lt;0.001), and MACE (p&lt;0.001). Conclusion. The E/E’sr ratio and GLS, as emerging indices of LV diastolic and systolic functions, significantly predict mortality and CV outcomes and outperform conventional echocardiographic parameters in outcome prediction in HD patients.</description><identifier>ISSN: 0278-0240</identifier><identifier>EISSN: 1875-8630</identifier><identifier>DOI: 10.1155/2019/7512805</identifier><identifier>PMID: 31583030</identifier><language>eng</language><publisher>Cairo, Egypt: Hindawi Publishing Corporation</publisher><subject>Aged ; Ankle ; Biomarkers - analysis ; Blood Flow Velocity ; Blood pressure ; Calcification ; Cardiology ; Cardiovascular diseases ; Dialysis ; Diastole ; Echocardiography ; Fatalities ; Female ; Heart ; Heart failure ; Heart Failure, Systolic - diagnosis ; Heart Failure, Systolic - etiology ; Heart Failure, Systolic - mortality ; Heart Failure, Systolic - physiopathology ; Heart Ventricles - diagnostic imaging ; Heart Ventricles - physiopathology ; Hemodialysis ; Hospitals ; Humans ; Inflow ; Kidney diseases ; Laboratories ; Longitude ; Male ; Mathematical models ; Medical records ; Medical research ; Medicine, Experimental ; Middle Aged ; Mitral Valve - diagnostic imaging ; Mitral Valve - physiopathology ; Mortality ; Multivariate analysis ; Myocardial Infarction - diagnosis ; Myocardial Infarction - etiology ; Myocardial Infarction - mortality ; Myocardial Infarction - physiopathology ; Nephrology ; Parameters ; Prognosis ; Proportional Hazards Models ; Prospective Studies ; Regression analysis ; Renal Dialysis ; Renal Insufficiency, Chronic - physiopathology ; Renal Insufficiency, Chronic - therapy ; Strain rate ; Stroke Volume ; Systole ; Taiwan ; Velocity ; Ventricle ; Ventricular Dysfunction, Left - complications ; Ventricular Dysfunction, Left - diagnostic imaging ; Ventricular Dysfunction, Left - mortality ; Ventricular Dysfunction, Left - physiopathology ; X-rays</subject><ispartof>Disease markers, 2019, Vol.2019 (2019), p.1-12</ispartof><rights>Copyright © 2019 Jiun-Chi Huang et al.</rights><rights>COPYRIGHT 2019 John Wiley &amp; Sons, Inc.</rights><rights>Copyright © 2019 Jiun-Chi Huang et al. This is an open access article distributed under the Creative Commons Attribution License (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. http://creativecommons.org/licenses/by/4.0</rights><rights>Copyright © 2019 Jiun-Chi Huang et al. 2019</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c499t-791d28bcbc12256783984966dbee01a708cfad3807b3b4d1ae143d47919549233</citedby><cites>FETCH-LOGICAL-c499t-791d28bcbc12256783984966dbee01a708cfad3807b3b4d1ae143d47919549233</cites><orcidid>0000-0003-4499-6631 ; 0000-0003-0071-1710 ; 0000-0002-5897-2860 ; 0000-0002-1610-4184</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/PMC6748193/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC6748193/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,885,4024,27923,27924,27925,53791,53793</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/31583030$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><contributor>Chadjichristos, Christos</contributor><contributor>Christos Chadjichristos</contributor><creatorcontrib>Chen, Hung-Chun</creatorcontrib><creatorcontrib>Chang, Jer-Ming</creatorcontrib><creatorcontrib>Chiu, Yi-Wen</creatorcontrib><creatorcontrib>Chen, Szu-Chia</creatorcontrib><creatorcontrib>Lee, Wen-Hsien</creatorcontrib><creatorcontrib>Lee, Jia-Jung</creatorcontrib><creatorcontrib>Wu, Pei-Yu</creatorcontrib><creatorcontrib>Su, Ho-Ming</creatorcontrib><creatorcontrib>Huang, Jiun-Chi</creatorcontrib><creatorcontrib>Hsu, Ya-Ling</creatorcontrib><title>Ratio of Early Mitral Inflow Velocity to the Global Diastolic Strain Rate and Global Left Ventricular Longitudinal Systolic Strain Predict Overall Mortality and Major Adverse Cardiovascular Events in Hemodialysis Patients</title><title>Disease markers</title><addtitle>Dis Markers</addtitle><description>Background. The ratio of early mitral inflow velocity to the global diastolic strain rate (E/E’sr) and global longitudinal systolic strain (GLS) of the left ventricle (LV) are emerging indices of diastolic and systolic functions, respectively, for the LV. Their prognostic significance in the prediction of mortality and cardiovascular (CV) outcomes remains underexplored in hemodialysis (HD) patients. Methods. This prospective study included 190 maintenance HD patients. The E/E’sr ratio and GLS were assessed using two-dimensional speckle tracking echocardiography. The clinical outcomes included overall mortality, CV mortality, and major adverse cardiovascular events (MACE). The associations between the E/E’sr ratio, GLS, and clinical outcomes were evaluated using multivariate Cox regression analysis. The incremental values of the E/E’sr ratio and GLS in outcome prediction were assessed by χ2 changes in Cox models. Results. Over a median follow-up period of 3.7 years, there were 35 overall deaths, 16 CV deaths, and 45 MACE. Impaired diastolic function with a higher E/E’sr ratio was associated with overall mortality (HR, 1.484; 95% CI, 1.201−1.834; p&lt;0.001), CV mortality (HR, 1.584; 95% CI, 1.058–2.371; p=0.025), and MACE (HR, 1.205; 95% CI, 1.040−1.397; p=0.013) in multivariate adjusted Cox analysis. Worsening GLS was associated with overall mortality (HR, 1.276; 95% CI, 1.101−1.480; p=0.001), CV mortality (HR, 1.513; 95% CI, 1.088−2.104; p=0.014), and MACE (HR, 1.214; 95% CI, 1.103−1.337; p&lt;0.001). The E/E’sr ratio and GLS had better outcome prediction than the E to early diastolic mitral annular velocity (E/E’) ratio and left ventricular ejection fraction (LVEF). Moreover, adding the E/E’sr ratio and GLS to Cox models containing relevant clinical and conventional echocardiographic parameters improved the prediction of overall mortality (p&lt;0.001), CV mortality (p&lt;0.001), and MACE (p&lt;0.001). Conclusion. The E/E’sr ratio and GLS, as emerging indices of LV diastolic and systolic functions, significantly predict mortality and CV outcomes and outperform conventional echocardiographic parameters in outcome prediction in HD patients.</description><subject>Aged</subject><subject>Ankle</subject><subject>Biomarkers - analysis</subject><subject>Blood Flow Velocity</subject><subject>Blood pressure</subject><subject>Calcification</subject><subject>Cardiology</subject><subject>Cardiovascular diseases</subject><subject>Dialysis</subject><subject>Diastole</subject><subject>Echocardiography</subject><subject>Fatalities</subject><subject>Female</subject><subject>Heart</subject><subject>Heart failure</subject><subject>Heart Failure, Systolic - diagnosis</subject><subject>Heart Failure, Systolic - etiology</subject><subject>Heart Failure, Systolic - mortality</subject><subject>Heart Failure, Systolic - physiopathology</subject><subject>Heart Ventricles - diagnostic imaging</subject><subject>Heart Ventricles - physiopathology</subject><subject>Hemodialysis</subject><subject>Hospitals</subject><subject>Humans</subject><subject>Inflow</subject><subject>Kidney diseases</subject><subject>Laboratories</subject><subject>Longitude</subject><subject>Male</subject><subject>Mathematical models</subject><subject>Medical records</subject><subject>Medical research</subject><subject>Medicine, Experimental</subject><subject>Middle Aged</subject><subject>Mitral Valve - diagnostic imaging</subject><subject>Mitral Valve - physiopathology</subject><subject>Mortality</subject><subject>Multivariate analysis</subject><subject>Myocardial Infarction - diagnosis</subject><subject>Myocardial Infarction - etiology</subject><subject>Myocardial Infarction - mortality</subject><subject>Myocardial Infarction - physiopathology</subject><subject>Nephrology</subject><subject>Parameters</subject><subject>Prognosis</subject><subject>Proportional Hazards Models</subject><subject>Prospective Studies</subject><subject>Regression analysis</subject><subject>Renal Dialysis</subject><subject>Renal Insufficiency, Chronic - physiopathology</subject><subject>Renal Insufficiency, Chronic - therapy</subject><subject>Strain rate</subject><subject>Stroke Volume</subject><subject>Systole</subject><subject>Taiwan</subject><subject>Velocity</subject><subject>Ventricle</subject><subject>Ventricular Dysfunction, Left - complications</subject><subject>Ventricular Dysfunction, Left - diagnostic imaging</subject><subject>Ventricular Dysfunction, Left - mortality</subject><subject>Ventricular Dysfunction, Left - physiopathology</subject><subject>X-rays</subject><issn>0278-0240</issn><issn>1875-8630</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><sourceid>RHX</sourceid><sourceid>EIF</sourceid><recordid>eNqNks1uEzEURkcIREthxxpZYoMEof6bsb2pFIXQVkrUigJby2N7EkfOuNhOqjws74JHSVvKitUsvnPPnWt9VfUWwc8I1fUphkicshphDutn1THirB7xhsDn1THEjI8gpvCoepXSCkKEBRUvqyOCak4ggcfV728quwBCB6Yq-h2YuxyVB5d958Md-Gl90C7vQA4gLy0496Et6RenUg7eaXBTaNeDIrFA9eYemNkul-E-R6c3XkUwC_3C5Y1xfUlvdk-nr6M1TmdwtbVltwfzELPyw9pBOVerEMHYlDBZMFHRuLBVae-dbsuSBIrkwq6Dccrvkkvguhw1BK-rF53yyb45fE-qH1-n3ycXo9nV-eVkPBtpKkQeMYEM5q1uNcK4bhgnglPRNKa1FiLFINedMoRD1pKWGqQsosTQMiZqKjAhJ9XZ3nu7adfW6OFy5eVtdGsVdzIoJ58mvVvKRdjKhlGOxCD4cBDE8GtjU5Zrl7T1XvU2bJLEBCJKKYOooO__QVdhE8u7FgoLyBrMGX6kFspb6foulL16kMpxA5tSjJo0hfq0p3QMKUXbPfwygnJolxzaJQ_tKvi7v898gO_rVICPe2DpeqPu3H_qbGFspx5pRBkjnPwBaiXkSg</recordid><startdate>2019</startdate><enddate>2019</enddate><creator>Chen, Hung-Chun</creator><creator>Chang, Jer-Ming</creator><creator>Chiu, Yi-Wen</creator><creator>Chen, Szu-Chia</creator><creator>Lee, Wen-Hsien</creator><creator>Lee, Jia-Jung</creator><creator>Wu, Pei-Yu</creator><creator>Su, Ho-Ming</creator><creator>Huang, Jiun-Chi</creator><creator>Hsu, Ya-Ling</creator><general>Hindawi Publishing Corporation</general><general>Hindawi</general><general>John Wiley &amp; Sons, Inc</general><general>Hindawi Limited</general><scope>ADJCN</scope><scope>AHFXO</scope><scope>RHU</scope><scope>RHW</scope><scope>RHX</scope><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>7QO</scope><scope>7TK</scope><scope>8FD</scope><scope>C1K</scope><scope>FR3</scope><scope>P64</scope><scope>RC3</scope><scope>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0003-4499-6631</orcidid><orcidid>https://orcid.org/0000-0003-0071-1710</orcidid><orcidid>https://orcid.org/0000-0002-5897-2860</orcidid><orcidid>https://orcid.org/0000-0002-1610-4184</orcidid></search><sort><creationdate>2019</creationdate><title>Ratio of Early Mitral Inflow Velocity to the Global Diastolic Strain Rate and Global Left Ventricular Longitudinal Systolic Strain Predict Overall Mortality and Major Adverse Cardiovascular Events in Hemodialysis Patients</title><author>Chen, Hung-Chun ; Chang, Jer-Ming ; Chiu, Yi-Wen ; Chen, Szu-Chia ; Lee, Wen-Hsien ; Lee, Jia-Jung ; Wu, Pei-Yu ; Su, Ho-Ming ; Huang, Jiun-Chi ; Hsu, Ya-Ling</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c499t-791d28bcbc12256783984966dbee01a708cfad3807b3b4d1ae143d47919549233</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Aged</topic><topic>Ankle</topic><topic>Biomarkers - analysis</topic><topic>Blood Flow Velocity</topic><topic>Blood pressure</topic><topic>Calcification</topic><topic>Cardiology</topic><topic>Cardiovascular diseases</topic><topic>Dialysis</topic><topic>Diastole</topic><topic>Echocardiography</topic><topic>Fatalities</topic><topic>Female</topic><topic>Heart</topic><topic>Heart failure</topic><topic>Heart Failure, Systolic - diagnosis</topic><topic>Heart Failure, Systolic - etiology</topic><topic>Heart Failure, Systolic - mortality</topic><topic>Heart Failure, Systolic - physiopathology</topic><topic>Heart Ventricles - diagnostic imaging</topic><topic>Heart Ventricles - physiopathology</topic><topic>Hemodialysis</topic><topic>Hospitals</topic><topic>Humans</topic><topic>Inflow</topic><topic>Kidney diseases</topic><topic>Laboratories</topic><topic>Longitude</topic><topic>Male</topic><topic>Mathematical models</topic><topic>Medical records</topic><topic>Medical research</topic><topic>Medicine, Experimental</topic><topic>Middle Aged</topic><topic>Mitral Valve - diagnostic imaging</topic><topic>Mitral Valve - physiopathology</topic><topic>Mortality</topic><topic>Multivariate analysis</topic><topic>Myocardial Infarction - diagnosis</topic><topic>Myocardial Infarction - etiology</topic><topic>Myocardial Infarction - mortality</topic><topic>Myocardial Infarction - physiopathology</topic><topic>Nephrology</topic><topic>Parameters</topic><topic>Prognosis</topic><topic>Proportional Hazards Models</topic><topic>Prospective Studies</topic><topic>Regression analysis</topic><topic>Renal Dialysis</topic><topic>Renal Insufficiency, Chronic - physiopathology</topic><topic>Renal Insufficiency, Chronic - therapy</topic><topic>Strain rate</topic><topic>Stroke Volume</topic><topic>Systole</topic><topic>Taiwan</topic><topic>Velocity</topic><topic>Ventricle</topic><topic>Ventricular Dysfunction, Left - complications</topic><topic>Ventricular Dysfunction, Left - diagnostic imaging</topic><topic>Ventricular Dysfunction, Left - mortality</topic><topic>Ventricular Dysfunction, Left - physiopathology</topic><topic>X-rays</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Chen, Hung-Chun</creatorcontrib><creatorcontrib>Chang, Jer-Ming</creatorcontrib><creatorcontrib>Chiu, Yi-Wen</creatorcontrib><creatorcontrib>Chen, Szu-Chia</creatorcontrib><creatorcontrib>Lee, Wen-Hsien</creatorcontrib><creatorcontrib>Lee, Jia-Jung</creatorcontrib><creatorcontrib>Wu, Pei-Yu</creatorcontrib><creatorcontrib>Su, Ho-Ming</creatorcontrib><creatorcontrib>Huang, Jiun-Chi</creatorcontrib><creatorcontrib>Hsu, Ya-Ling</creatorcontrib><collection>الدوريات العلمية والإحصائية - e-Marefa Academic and Statistical Periodicals</collection><collection>معرفة - المحتوى العربي الأكاديمي المتكامل - e-Marefa Academic Complete</collection><collection>Hindawi Publishing Complete</collection><collection>Hindawi Publishing Subscription Journals</collection><collection>Hindawi Publishing Open Access Journals</collection><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>Biotechnology Research Abstracts</collection><collection>Neurosciences Abstracts</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>Engineering Research Database</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Genetics Abstracts</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Disease markers</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Chen, Hung-Chun</au><au>Chang, Jer-Ming</au><au>Chiu, Yi-Wen</au><au>Chen, Szu-Chia</au><au>Lee, Wen-Hsien</au><au>Lee, Jia-Jung</au><au>Wu, Pei-Yu</au><au>Su, Ho-Ming</au><au>Huang, Jiun-Chi</au><au>Hsu, Ya-Ling</au><au>Chadjichristos, Christos</au><au>Christos Chadjichristos</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Ratio of Early Mitral Inflow Velocity to the Global Diastolic Strain Rate and Global Left Ventricular Longitudinal Systolic Strain Predict Overall Mortality and Major Adverse Cardiovascular Events in Hemodialysis Patients</atitle><jtitle>Disease markers</jtitle><addtitle>Dis Markers</addtitle><date>2019</date><risdate>2019</risdate><volume>2019</volume><issue>2019</issue><spage>1</spage><epage>12</epage><pages>1-12</pages><issn>0278-0240</issn><eissn>1875-8630</eissn><abstract>Background. The ratio of early mitral inflow velocity to the global diastolic strain rate (E/E’sr) and global longitudinal systolic strain (GLS) of the left ventricle (LV) are emerging indices of diastolic and systolic functions, respectively, for the LV. Their prognostic significance in the prediction of mortality and cardiovascular (CV) outcomes remains underexplored in hemodialysis (HD) patients. Methods. This prospective study included 190 maintenance HD patients. The E/E’sr ratio and GLS were assessed using two-dimensional speckle tracking echocardiography. The clinical outcomes included overall mortality, CV mortality, and major adverse cardiovascular events (MACE). The associations between the E/E’sr ratio, GLS, and clinical outcomes were evaluated using multivariate Cox regression analysis. The incremental values of the E/E’sr ratio and GLS in outcome prediction were assessed by χ2 changes in Cox models. Results. Over a median follow-up period of 3.7 years, there were 35 overall deaths, 16 CV deaths, and 45 MACE. Impaired diastolic function with a higher E/E’sr ratio was associated with overall mortality (HR, 1.484; 95% CI, 1.201−1.834; p&lt;0.001), CV mortality (HR, 1.584; 95% CI, 1.058–2.371; p=0.025), and MACE (HR, 1.205; 95% CI, 1.040−1.397; p=0.013) in multivariate adjusted Cox analysis. Worsening GLS was associated with overall mortality (HR, 1.276; 95% CI, 1.101−1.480; p=0.001), CV mortality (HR, 1.513; 95% CI, 1.088−2.104; p=0.014), and MACE (HR, 1.214; 95% CI, 1.103−1.337; p&lt;0.001). The E/E’sr ratio and GLS had better outcome prediction than the E to early diastolic mitral annular velocity (E/E’) ratio and left ventricular ejection fraction (LVEF). Moreover, adding the E/E’sr ratio and GLS to Cox models containing relevant clinical and conventional echocardiographic parameters improved the prediction of overall mortality (p&lt;0.001), CV mortality (p&lt;0.001), and MACE (p&lt;0.001). Conclusion. The E/E’sr ratio and GLS, as emerging indices of LV diastolic and systolic functions, significantly predict mortality and CV outcomes and outperform conventional echocardiographic parameters in outcome prediction in HD patients.</abstract><cop>Cairo, Egypt</cop><pub>Hindawi Publishing Corporation</pub><pmid>31583030</pmid><doi>10.1155/2019/7512805</doi><tpages>12</tpages><orcidid>https://orcid.org/0000-0003-4499-6631</orcidid><orcidid>https://orcid.org/0000-0003-0071-1710</orcidid><orcidid>https://orcid.org/0000-0002-5897-2860</orcidid><orcidid>https://orcid.org/0000-0002-1610-4184</orcidid><oa>free_for_read</oa></addata></record>
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recordid cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_6748193
source Open Access: Wiley-Blackwell Open Access Journals; PubMed Central Free; MEDLINE; Free E-Journal (出版社公開部分のみ); Alma/SFX Local Collection
subjects Aged
Ankle
Biomarkers - analysis
Blood Flow Velocity
Blood pressure
Calcification
Cardiology
Cardiovascular diseases
Dialysis
Diastole
Echocardiography
Fatalities
Female
Heart
Heart failure
Heart Failure, Systolic - diagnosis
Heart Failure, Systolic - etiology
Heart Failure, Systolic - mortality
Heart Failure, Systolic - physiopathology
Heart Ventricles - diagnostic imaging
Heart Ventricles - physiopathology
Hemodialysis
Hospitals
Humans
Inflow
Kidney diseases
Laboratories
Longitude
Male
Mathematical models
Medical records
Medical research
Medicine, Experimental
Middle Aged
Mitral Valve - diagnostic imaging
Mitral Valve - physiopathology
Mortality
Multivariate analysis
Myocardial Infarction - diagnosis
Myocardial Infarction - etiology
Myocardial Infarction - mortality
Myocardial Infarction - physiopathology
Nephrology
Parameters
Prognosis
Proportional Hazards Models
Prospective Studies
Regression analysis
Renal Dialysis
Renal Insufficiency, Chronic - physiopathology
Renal Insufficiency, Chronic - therapy
Strain rate
Stroke Volume
Systole
Taiwan
Velocity
Ventricle
Ventricular Dysfunction, Left - complications
Ventricular Dysfunction, Left - diagnostic imaging
Ventricular Dysfunction, Left - mortality
Ventricular Dysfunction, Left - physiopathology
X-rays
title Ratio of Early Mitral Inflow Velocity to the Global Diastolic Strain Rate and Global Left Ventricular Longitudinal Systolic Strain Predict Overall Mortality and Major Adverse Cardiovascular Events in Hemodialysis Patients
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