Loading…

C2HEST score predicts clinical outcomes in heart failure with preserved ejection fraction: a secondary analysis of the TOPCAT trial

Background The C.sub.2HEST score has been validated for predicting AF in the general population or post-stroke patients. We aimed to assess whether this risk score could predict incident AF and other clinical outcomes in heart failure with preserved ejection fraction (HFpEF) patients. Methods A tota...

Full description

Saved in:
Bibliographic Details
Published in:BMC medicine 2021-02, Vol.19 (1), p.1-44, Article 44
Main Authors: Liang, Weihao, Wu, Yuzhong, Xue, Ruicong, Wu, Zexuan, Wu, Dexi, He, Jiangui, Dong, Yugang, Lip, Gregory Y. H, Zhu, Wengen, Liu, Chen
Format: Article
Language:English
Subjects:
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
cited_by cdi_FETCH-LOGICAL-c571t-74826349dffd51090c668ab44721507365aaac680cb3516e316d601dacca17143
cites cdi_FETCH-LOGICAL-c571t-74826349dffd51090c668ab44721507365aaac680cb3516e316d601dacca17143
container_end_page 44
container_issue 1
container_start_page 1
container_title BMC medicine
container_volume 19
creator Liang, Weihao
Wu, Yuzhong
Xue, Ruicong
Wu, Zexuan
Wu, Dexi
He, Jiangui
Dong, Yugang
Lip, Gregory Y. H
Zhu, Wengen
Liu, Chen
description Background The C.sub.2HEST score has been validated for predicting AF in the general population or post-stroke patients. We aimed to assess whether this risk score could predict incident AF and other clinical outcomes in heart failure with preserved ejection fraction (HFpEF) patients. Methods A total of 2202 HFpEF patients without baseline AF in the TOPCAT trial were stratified by baseline C.sub.2HEST score. Cox proportional hazard model and competing risk regression model was used to explore the relationship between C.sub.2HEST score and outcomes, including incident AF, stroke, all-cause death, cardiovascular death, any hospitalization, and HF hospitalization. The discriminative ability of the C.sub.2HEST score for various outcomes was assessed by calculating the area under the curve (AUC). Results The incidence rates of incident AF, stroke, all-cause death, cardiovascular death, any hospitalization, and HF hospitalization were 1.79, 0.70, 3.81, 2.42, 15.50, and 3.32 per 100 person-years, respectively. When the C.sub.2HEST score was analyzed as a continuous variable, increased C.sub.2HEST score was associated with increased risk of incident AF (HR 1.50, 95% CI 1.29-1.75), as well as increased risks of all-cause death, cardiovascular death, any hospitalization, and HF hospitalization. The AUC for the C.sub.2HEST score in predicting incident AF (0.694, 95% CI 0.640-0.748) was higher than all-cause death, cardiovascular death, any hospitalization, or HF hospitalization. Conclusions The C.sub.2HEST score could predict the risk of incident AF as well as death and hospitalization with moderately good predictive abilities in patients with HFpEF. Its simplicity may allow the possibility of quick risk assessments in busy clinical settings. Keywords: Heart failure, Atrial fibrillation, Risk prediction, Outcomes
doi_str_mv 10.1186/s12916-021-01921-w
format article
fullrecord <record><control><sourceid>gale_doaj_</sourceid><recordid>TN_cdi_doaj_primary_oai_doaj_org_article_d999c93f59da461ea9c8cd006c02c720</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><galeid>A653613101</galeid><doaj_id>oai_doaj_org_article_d999c93f59da461ea9c8cd006c02c720</doaj_id><sourcerecordid>A653613101</sourcerecordid><originalsourceid>FETCH-LOGICAL-c571t-74826349dffd51090c668ab44721507365aaac680cb3516e316d601dacca17143</originalsourceid><addsrcrecordid>eNptklFrFDEQxxdRbK1-AZ8CgviydWazm2x8EI6j2kKhgudzyCXZ2xy5zZns9uizX9zcXdGeSCAZJr_5J5P8i-ItwiViyz4mrASyEiosAUWed8-Kc-Q1lhywef4kPitepbQGqBrO65fFGaWNYALEefFrXl1ffV-QpEO0ZButcXpMRHs3OK08CdOow8Ym4gbSWxVH0innp8zu3NjvC5KN99YQu7Z6dGEgXVSH4BNRJFkdBqPiA1GD8g_JJRI6MvaWLO6-zWcLMkan_OviRad8sm8e14vix5erxfy6vL37ejOf3Za64TiWvG4rRmthus40CAI0Y61a1jWvsAFOWaOU0qwFvaQNMkuRGQZolNYKOdb0org56pqg1nIb3SbfTAbl5CER4krmBp32VhohhBa0a4RRNUOrhG61AWAaKs0ryFqfj1rbabmxRtthjMqfiJ7uDK6Xq3AveSugESILfHgUiOHnZNMoNy5p670abJiSrGqBwBEozei7f9B1mGJ-0AMFggpO4S-1UrkBN3Qhn6v3onLGGsqQImCmLv9D5WHsxuXPsp3L-ZOC908KsgX82Kfgp_0Xp1OwOoI6hpSi7f48BoLc-1Ue_SqzX-XBr3JHfwOFw9pD</addsrcrecordid><sourcetype>Open Website</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2490939730</pqid></control><display><type>article</type><title>C2HEST score predicts clinical outcomes in heart failure with preserved ejection fraction: a secondary analysis of the TOPCAT trial</title><source>Publicly Available Content Database</source><source>PubMed Central</source><creator>Liang, Weihao ; Wu, Yuzhong ; Xue, Ruicong ; Wu, Zexuan ; Wu, Dexi ; He, Jiangui ; Dong, Yugang ; Lip, Gregory Y. H ; Zhu, Wengen ; Liu, Chen</creator><creatorcontrib>Liang, Weihao ; Wu, Yuzhong ; Xue, Ruicong ; Wu, Zexuan ; Wu, Dexi ; He, Jiangui ; Dong, Yugang ; Lip, Gregory Y. H ; Zhu, Wengen ; Liu, Chen</creatorcontrib><description>Background The C.sub.2HEST score has been validated for predicting AF in the general population or post-stroke patients. We aimed to assess whether this risk score could predict incident AF and other clinical outcomes in heart failure with preserved ejection fraction (HFpEF) patients. Methods A total of 2202 HFpEF patients without baseline AF in the TOPCAT trial were stratified by baseline C.sub.2HEST score. Cox proportional hazard model and competing risk regression model was used to explore the relationship between C.sub.2HEST score and outcomes, including incident AF, stroke, all-cause death, cardiovascular death, any hospitalization, and HF hospitalization. The discriminative ability of the C.sub.2HEST score for various outcomes was assessed by calculating the area under the curve (AUC). Results The incidence rates of incident AF, stroke, all-cause death, cardiovascular death, any hospitalization, and HF hospitalization were 1.79, 0.70, 3.81, 2.42, 15.50, and 3.32 per 100 person-years, respectively. When the C.sub.2HEST score was analyzed as a continuous variable, increased C.sub.2HEST score was associated with increased risk of incident AF (HR 1.50, 95% CI 1.29-1.75), as well as increased risks of all-cause death, cardiovascular death, any hospitalization, and HF hospitalization. The AUC for the C.sub.2HEST score in predicting incident AF (0.694, 95% CI 0.640-0.748) was higher than all-cause death, cardiovascular death, any hospitalization, or HF hospitalization. Conclusions The C.sub.2HEST score could predict the risk of incident AF as well as death and hospitalization with moderately good predictive abilities in patients with HFpEF. Its simplicity may allow the possibility of quick risk assessments in busy clinical settings. Keywords: Heart failure, Atrial fibrillation, Risk prediction, Outcomes</description><identifier>ISSN: 1741-7015</identifier><identifier>EISSN: 1741-7015</identifier><identifier>DOI: 10.1186/s12916-021-01921-w</identifier><identifier>PMID: 33596909</identifier><language>eng</language><publisher>London: BioMed Central Ltd</publisher><subject>Age ; Atrial fibrillation ; Blood pressure ; Body mass index ; Cardiac arrhythmia ; Cardiovascular disease ; Chronic obstructive pulmonary disease ; Clinical outcomes ; Congestive heart failure ; Continuity (mathematics) ; Coronary vessels ; Datasets ; Death ; Ejection fraction ; Enrollments ; Function tests (Medicine) ; Heart failure ; Heart rate ; Hospitalization ; Hypertension ; Hyperthyroidism ; Medical prognosis ; Mortality ; Outcomes ; Patient outcomes ; Patients ; Practice guidelines (Medicine) ; Prognosis ; Regression analysis ; Regression models ; Risk assessment ; Risk prediction ; Secondary analysis ; Sensitivity analysis ; Statistical models ; Stroke</subject><ispartof>BMC medicine, 2021-02, Vol.19 (1), p.1-44, Article 44</ispartof><rights>COPYRIGHT 2021 BioMed Central Ltd.</rights><rights>2021. This work is licensed under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>The Author(s) 2021</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c571t-74826349dffd51090c668ab44721507365aaac680cb3516e316d601dacca17143</citedby><cites>FETCH-LOGICAL-c571t-74826349dffd51090c668ab44721507365aaac680cb3516e316d601dacca17143</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC7890599/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/2490939730?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,885,25753,27924,27925,37012,37013,44590,53791,53793</link.rule.ids></links><search><creatorcontrib>Liang, Weihao</creatorcontrib><creatorcontrib>Wu, Yuzhong</creatorcontrib><creatorcontrib>Xue, Ruicong</creatorcontrib><creatorcontrib>Wu, Zexuan</creatorcontrib><creatorcontrib>Wu, Dexi</creatorcontrib><creatorcontrib>He, Jiangui</creatorcontrib><creatorcontrib>Dong, Yugang</creatorcontrib><creatorcontrib>Lip, Gregory Y. H</creatorcontrib><creatorcontrib>Zhu, Wengen</creatorcontrib><creatorcontrib>Liu, Chen</creatorcontrib><title>C2HEST score predicts clinical outcomes in heart failure with preserved ejection fraction: a secondary analysis of the TOPCAT trial</title><title>BMC medicine</title><description>Background The C.sub.2HEST score has been validated for predicting AF in the general population or post-stroke patients. We aimed to assess whether this risk score could predict incident AF and other clinical outcomes in heart failure with preserved ejection fraction (HFpEF) patients. Methods A total of 2202 HFpEF patients without baseline AF in the TOPCAT trial were stratified by baseline C.sub.2HEST score. Cox proportional hazard model and competing risk regression model was used to explore the relationship between C.sub.2HEST score and outcomes, including incident AF, stroke, all-cause death, cardiovascular death, any hospitalization, and HF hospitalization. The discriminative ability of the C.sub.2HEST score for various outcomes was assessed by calculating the area under the curve (AUC). Results The incidence rates of incident AF, stroke, all-cause death, cardiovascular death, any hospitalization, and HF hospitalization were 1.79, 0.70, 3.81, 2.42, 15.50, and 3.32 per 100 person-years, respectively. When the C.sub.2HEST score was analyzed as a continuous variable, increased C.sub.2HEST score was associated with increased risk of incident AF (HR 1.50, 95% CI 1.29-1.75), as well as increased risks of all-cause death, cardiovascular death, any hospitalization, and HF hospitalization. The AUC for the C.sub.2HEST score in predicting incident AF (0.694, 95% CI 0.640-0.748) was higher than all-cause death, cardiovascular death, any hospitalization, or HF hospitalization. Conclusions The C.sub.2HEST score could predict the risk of incident AF as well as death and hospitalization with moderately good predictive abilities in patients with HFpEF. Its simplicity may allow the possibility of quick risk assessments in busy clinical settings. Keywords: Heart failure, Atrial fibrillation, Risk prediction, Outcomes</description><subject>Age</subject><subject>Atrial fibrillation</subject><subject>Blood pressure</subject><subject>Body mass index</subject><subject>Cardiac arrhythmia</subject><subject>Cardiovascular disease</subject><subject>Chronic obstructive pulmonary disease</subject><subject>Clinical outcomes</subject><subject>Congestive heart failure</subject><subject>Continuity (mathematics)</subject><subject>Coronary vessels</subject><subject>Datasets</subject><subject>Death</subject><subject>Ejection fraction</subject><subject>Enrollments</subject><subject>Function tests (Medicine)</subject><subject>Heart failure</subject><subject>Heart rate</subject><subject>Hospitalization</subject><subject>Hypertension</subject><subject>Hyperthyroidism</subject><subject>Medical prognosis</subject><subject>Mortality</subject><subject>Outcomes</subject><subject>Patient outcomes</subject><subject>Patients</subject><subject>Practice guidelines (Medicine)</subject><subject>Prognosis</subject><subject>Regression analysis</subject><subject>Regression models</subject><subject>Risk assessment</subject><subject>Risk prediction</subject><subject>Secondary analysis</subject><subject>Sensitivity analysis</subject><subject>Statistical models</subject><subject>Stroke</subject><issn>1741-7015</issn><issn>1741-7015</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>PIMPY</sourceid><sourceid>DOA</sourceid><recordid>eNptklFrFDEQxxdRbK1-AZ8CgviydWazm2x8EI6j2kKhgudzyCXZ2xy5zZns9uizX9zcXdGeSCAZJr_5J5P8i-ItwiViyz4mrASyEiosAUWed8-Kc-Q1lhywef4kPitepbQGqBrO65fFGaWNYALEefFrXl1ffV-QpEO0ZButcXpMRHs3OK08CdOow8Ym4gbSWxVH0innp8zu3NjvC5KN99YQu7Z6dGEgXVSH4BNRJFkdBqPiA1GD8g_JJRI6MvaWLO6-zWcLMkan_OviRad8sm8e14vix5erxfy6vL37ejOf3Za64TiWvG4rRmthus40CAI0Y61a1jWvsAFOWaOU0qwFvaQNMkuRGQZolNYKOdb0org56pqg1nIb3SbfTAbl5CER4krmBp32VhohhBa0a4RRNUOrhG61AWAaKs0ryFqfj1rbabmxRtthjMqfiJ7uDK6Xq3AveSugESILfHgUiOHnZNMoNy5p670abJiSrGqBwBEozei7f9B1mGJ-0AMFggpO4S-1UrkBN3Qhn6v3onLGGsqQImCmLv9D5WHsxuXPsp3L-ZOC908KsgX82Kfgp_0Xp1OwOoI6hpSi7f48BoLc-1Ue_SqzX-XBr3JHfwOFw9pD</recordid><startdate>20210218</startdate><enddate>20210218</enddate><creator>Liang, Weihao</creator><creator>Wu, Yuzhong</creator><creator>Xue, Ruicong</creator><creator>Wu, Zexuan</creator><creator>Wu, Dexi</creator><creator>He, Jiangui</creator><creator>Dong, Yugang</creator><creator>Lip, Gregory Y. H</creator><creator>Zhu, Wengen</creator><creator>Liu, Chen</creator><general>BioMed Central Ltd</general><general>BioMed Central</general><general>BMC</general><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7QL</scope><scope>7U9</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>H94</scope><scope>K9.</scope><scope>M0S</scope><scope>M1P</scope><scope>M7N</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope></search><sort><creationdate>20210218</creationdate><title>C2HEST score predicts clinical outcomes in heart failure with preserved ejection fraction: a secondary analysis of the TOPCAT trial</title><author>Liang, Weihao ; Wu, Yuzhong ; Xue, Ruicong ; Wu, Zexuan ; Wu, Dexi ; He, Jiangui ; Dong, Yugang ; Lip, Gregory Y. H ; Zhu, Wengen ; Liu, Chen</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c571t-74826349dffd51090c668ab44721507365aaac680cb3516e316d601dacca17143</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Age</topic><topic>Atrial fibrillation</topic><topic>Blood pressure</topic><topic>Body mass index</topic><topic>Cardiac arrhythmia</topic><topic>Cardiovascular disease</topic><topic>Chronic obstructive pulmonary disease</topic><topic>Clinical outcomes</topic><topic>Congestive heart failure</topic><topic>Continuity (mathematics)</topic><topic>Coronary vessels</topic><topic>Datasets</topic><topic>Death</topic><topic>Ejection fraction</topic><topic>Enrollments</topic><topic>Function tests (Medicine)</topic><topic>Heart failure</topic><topic>Heart rate</topic><topic>Hospitalization</topic><topic>Hypertension</topic><topic>Hyperthyroidism</topic><topic>Medical prognosis</topic><topic>Mortality</topic><topic>Outcomes</topic><topic>Patient outcomes</topic><topic>Patients</topic><topic>Practice guidelines (Medicine)</topic><topic>Prognosis</topic><topic>Regression analysis</topic><topic>Regression models</topic><topic>Risk assessment</topic><topic>Risk prediction</topic><topic>Secondary analysis</topic><topic>Sensitivity analysis</topic><topic>Statistical models</topic><topic>Stroke</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Liang, Weihao</creatorcontrib><creatorcontrib>Wu, Yuzhong</creatorcontrib><creatorcontrib>Xue, Ruicong</creatorcontrib><creatorcontrib>Wu, Zexuan</creatorcontrib><creatorcontrib>Wu, Dexi</creatorcontrib><creatorcontrib>He, Jiangui</creatorcontrib><creatorcontrib>Dong, Yugang</creatorcontrib><creatorcontrib>Lip, Gregory Y. H</creatorcontrib><creatorcontrib>Zhu, Wengen</creatorcontrib><creatorcontrib>Liu, Chen</creatorcontrib><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Virology and AIDS Abstracts</collection><collection>Health &amp; Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>ProQuest Health &amp; Medical Complete (Alumni)</collection><collection>Health &amp; Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</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>ProQuest Central China</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>Open Access: DOAJ - Directory of Open Access Journals</collection><jtitle>BMC medicine</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Liang, Weihao</au><au>Wu, Yuzhong</au><au>Xue, Ruicong</au><au>Wu, Zexuan</au><au>Wu, Dexi</au><au>He, Jiangui</au><au>Dong, Yugang</au><au>Lip, Gregory Y. H</au><au>Zhu, Wengen</au><au>Liu, Chen</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>C2HEST score predicts clinical outcomes in heart failure with preserved ejection fraction: a secondary analysis of the TOPCAT trial</atitle><jtitle>BMC medicine</jtitle><date>2021-02-18</date><risdate>2021</risdate><volume>19</volume><issue>1</issue><spage>1</spage><epage>44</epage><pages>1-44</pages><artnum>44</artnum><issn>1741-7015</issn><eissn>1741-7015</eissn><abstract>Background The C.sub.2HEST score has been validated for predicting AF in the general population or post-stroke patients. We aimed to assess whether this risk score could predict incident AF and other clinical outcomes in heart failure with preserved ejection fraction (HFpEF) patients. Methods A total of 2202 HFpEF patients without baseline AF in the TOPCAT trial were stratified by baseline C.sub.2HEST score. Cox proportional hazard model and competing risk regression model was used to explore the relationship between C.sub.2HEST score and outcomes, including incident AF, stroke, all-cause death, cardiovascular death, any hospitalization, and HF hospitalization. The discriminative ability of the C.sub.2HEST score for various outcomes was assessed by calculating the area under the curve (AUC). Results The incidence rates of incident AF, stroke, all-cause death, cardiovascular death, any hospitalization, and HF hospitalization were 1.79, 0.70, 3.81, 2.42, 15.50, and 3.32 per 100 person-years, respectively. When the C.sub.2HEST score was analyzed as a continuous variable, increased C.sub.2HEST score was associated with increased risk of incident AF (HR 1.50, 95% CI 1.29-1.75), as well as increased risks of all-cause death, cardiovascular death, any hospitalization, and HF hospitalization. The AUC for the C.sub.2HEST score in predicting incident AF (0.694, 95% CI 0.640-0.748) was higher than all-cause death, cardiovascular death, any hospitalization, or HF hospitalization. Conclusions The C.sub.2HEST score could predict the risk of incident AF as well as death and hospitalization with moderately good predictive abilities in patients with HFpEF. Its simplicity may allow the possibility of quick risk assessments in busy clinical settings. Keywords: Heart failure, Atrial fibrillation, Risk prediction, Outcomes</abstract><cop>London</cop><pub>BioMed Central Ltd</pub><pmid>33596909</pmid><doi>10.1186/s12916-021-01921-w</doi><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 1741-7015
ispartof BMC medicine, 2021-02, Vol.19 (1), p.1-44, Article 44
issn 1741-7015
1741-7015
language eng
recordid cdi_doaj_primary_oai_doaj_org_article_d999c93f59da461ea9c8cd006c02c720
source Publicly Available Content Database; PubMed Central
subjects Age
Atrial fibrillation
Blood pressure
Body mass index
Cardiac arrhythmia
Cardiovascular disease
Chronic obstructive pulmonary disease
Clinical outcomes
Congestive heart failure
Continuity (mathematics)
Coronary vessels
Datasets
Death
Ejection fraction
Enrollments
Function tests (Medicine)
Heart failure
Heart rate
Hospitalization
Hypertension
Hyperthyroidism
Medical prognosis
Mortality
Outcomes
Patient outcomes
Patients
Practice guidelines (Medicine)
Prognosis
Regression analysis
Regression models
Risk assessment
Risk prediction
Secondary analysis
Sensitivity analysis
Statistical models
Stroke
title C2HEST score predicts clinical outcomes in heart failure with preserved ejection fraction: a secondary analysis of the TOPCAT trial
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-27T00%3A21%3A37IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-gale_doaj_&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=C2HEST%20score%20predicts%20clinical%20outcomes%20in%20heart%20failure%20with%20preserved%20ejection%20fraction:%20a%20secondary%20analysis%20of%20the%20TOPCAT%20trial&rft.jtitle=BMC%20medicine&rft.au=Liang,%20Weihao&rft.date=2021-02-18&rft.volume=19&rft.issue=1&rft.spage=1&rft.epage=44&rft.pages=1-44&rft.artnum=44&rft.issn=1741-7015&rft.eissn=1741-7015&rft_id=info:doi/10.1186/s12916-021-01921-w&rft_dat=%3Cgale_doaj_%3EA653613101%3C/gale_doaj_%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c571t-74826349dffd51090c668ab44721507365aaac680cb3516e316d601dacca17143%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=2490939730&rft_id=info:pmid/33596909&rft_galeid=A653613101&rfr_iscdi=true