No Cover Image

Journal article 1000 views

Evaluation of risk scores for risk stratification of acute coronary syndromes in the Myocardial Infarction National Audit Project (MINAP) database.

CP Gale, SOM Manda, CF Weston, J Birkhead, P Batin, A Hall, Clive Weston Orcid Logo

Heart, Volume: 95, Issue: 3, Pages: 221 - 227

Swansea University Author: Clive Weston Orcid Logo

Full text not available from this repository: check for access using links below.

Abstract

The objective was to compare the performance of a number of risk models in predicting outcome for patients presenting to hospital with acute coronary syndrome (ACS) using data obtained in the Myocardial Infarction National Audit Project (MINAP) - a national registry of care provided by hospitals in...

Full description

Published in: Heart
ISSN: 1355-6037
Published: Heart 2008
Online Access: Check full text

URI: https://cronfa.swan.ac.uk/Record/cronfa10009
Tags: Add Tag
No Tags, Be the first to tag this record!
first_indexed 2013-07-23T12:02:37Z
last_indexed 2018-02-09T04:38:33Z
id cronfa10009
recordtype SURis
fullrecord <?xml version="1.0"?><rfc1807><datestamp>2013-11-08T11:20:34.8425796</datestamp><bib-version>v2</bib-version><id>10009</id><entry>2012-03-21</entry><title>Evaluation of risk scores for risk stratification of acute coronary syndromes in the Myocardial Infarction National Audit Project (MINAP) database.</title><swanseaauthors><author><sid>df85e4e0e139d0f46eb683174eba98a9</sid><ORCID>0000-0002-8995-8199</ORCID><firstname>Clive</firstname><surname>Weston</surname><name>Clive Weston</name><active>true</active><ethesisStudent>false</ethesisStudent></author></swanseaauthors><date>2012-03-21</date><deptcode>PMSC</deptcode><abstract>The objective was to compare the performance of a number of risk models in predicting outcome for patients presenting to hospital with acute coronary syndrome (ACS) using data obtained in the Myocardial Infarction National Audit Project (MINAP) - a national registry of care provided by hospitals in England and Wales. There were 100&#x2009;686 cases of ACS between 2003 and 2005.The performance was expressed as the C-index for predicting the likelihood of death over the time period for which each model was designed. The C-indexes were: PURSUIT C-index 0.79 (95% confidence interval 0.78 to 0.80); GUSTO-1 0.80 (0.79 to 0.81); GRACE in-hospital 0.80 (0.80 to 0.81); GRACE 6-month 0.80 (0.79 to 0.80); SRI 0.79 (0.78 to 0.80); and EMMACE 0.78 (0.77 to 0.78). EMMACE maintained its ability to discriminate 30-day mortality throughout different ACS diagnoses. For all models the discriminative performance was reduced in patients with diabetes, chronic renal failure or angina. Simpler risk models had comparable performance to more complex risk models.</abstract><type>Journal Article</type><journal>Heart</journal><volume>95</volume><journalNumber>3</journalNumber><paginationStart>221</paginationStart><paginationEnd>227</paginationEnd><publisher>Heart</publisher><issnPrint>1355-6037</issnPrint><issnElectronic/><keywords/><publishedDay>31</publishedDay><publishedMonth>12</publishedMonth><publishedYear>2008</publishedYear><publishedDate>2008-12-31</publishedDate><doi>10.1136/hrt.2008.144022</doi><url/><notes/><college>COLLEGE NANME</college><department>Medicine</department><CollegeCode>COLLEGE CODE</CollegeCode><DepartmentCode>PMSC</DepartmentCode><institution>Swansea University</institution><apcterm/><lastEdited>2013-11-08T11:20:34.8425796</lastEdited><Created>2012-03-21T16:17:18.0000000</Created><path><level id="1">Faculty of Medicine, Health and Life Sciences</level><level id="2">Swansea University Medical School - Medicine</level></path><authors><author><firstname>CP</firstname><surname>Gale</surname><order>1</order></author><author><firstname>SOM</firstname><surname>Manda</surname><order>2</order></author><author><firstname>CF</firstname><surname>Weston</surname><order>3</order></author><author><firstname>J</firstname><surname>Birkhead</surname><order>4</order></author><author><firstname>P</firstname><surname>Batin</surname><order>5</order></author><author><firstname>A</firstname><surname>Hall</surname><order>6</order></author><author><firstname>Clive</firstname><surname>Weston</surname><orcid>0000-0002-8995-8199</orcid><order>7</order></author></authors><documents/><OutputDurs/></rfc1807>
spelling 2013-11-08T11:20:34.8425796 v2 10009 2012-03-21 Evaluation of risk scores for risk stratification of acute coronary syndromes in the Myocardial Infarction National Audit Project (MINAP) database. df85e4e0e139d0f46eb683174eba98a9 0000-0002-8995-8199 Clive Weston Clive Weston true false 2012-03-21 PMSC The objective was to compare the performance of a number of risk models in predicting outcome for patients presenting to hospital with acute coronary syndrome (ACS) using data obtained in the Myocardial Infarction National Audit Project (MINAP) - a national registry of care provided by hospitals in England and Wales. There were 100 686 cases of ACS between 2003 and 2005.The performance was expressed as the C-index for predicting the likelihood of death over the time period for which each model was designed. The C-indexes were: PURSUIT C-index 0.79 (95% confidence interval 0.78 to 0.80); GUSTO-1 0.80 (0.79 to 0.81); GRACE in-hospital 0.80 (0.80 to 0.81); GRACE 6-month 0.80 (0.79 to 0.80); SRI 0.79 (0.78 to 0.80); and EMMACE 0.78 (0.77 to 0.78). EMMACE maintained its ability to discriminate 30-day mortality throughout different ACS diagnoses. For all models the discriminative performance was reduced in patients with diabetes, chronic renal failure or angina. Simpler risk models had comparable performance to more complex risk models. Journal Article Heart 95 3 221 227 Heart 1355-6037 31 12 2008 2008-12-31 10.1136/hrt.2008.144022 COLLEGE NANME Medicine COLLEGE CODE PMSC Swansea University 2013-11-08T11:20:34.8425796 2012-03-21T16:17:18.0000000 Faculty of Medicine, Health and Life Sciences Swansea University Medical School - Medicine CP Gale 1 SOM Manda 2 CF Weston 3 J Birkhead 4 P Batin 5 A Hall 6 Clive Weston 0000-0002-8995-8199 7
title Evaluation of risk scores for risk stratification of acute coronary syndromes in the Myocardial Infarction National Audit Project (MINAP) database.
spellingShingle Evaluation of risk scores for risk stratification of acute coronary syndromes in the Myocardial Infarction National Audit Project (MINAP) database.
Clive Weston
title_short Evaluation of risk scores for risk stratification of acute coronary syndromes in the Myocardial Infarction National Audit Project (MINAP) database.
title_full Evaluation of risk scores for risk stratification of acute coronary syndromes in the Myocardial Infarction National Audit Project (MINAP) database.
title_fullStr Evaluation of risk scores for risk stratification of acute coronary syndromes in the Myocardial Infarction National Audit Project (MINAP) database.
title_full_unstemmed Evaluation of risk scores for risk stratification of acute coronary syndromes in the Myocardial Infarction National Audit Project (MINAP) database.
title_sort Evaluation of risk scores for risk stratification of acute coronary syndromes in the Myocardial Infarction National Audit Project (MINAP) database.
author_id_str_mv df85e4e0e139d0f46eb683174eba98a9
author_id_fullname_str_mv df85e4e0e139d0f46eb683174eba98a9_***_Clive Weston
author Clive Weston
author2 CP Gale
SOM Manda
CF Weston
J Birkhead
P Batin
A Hall
Clive Weston
format Journal article
container_title Heart
container_volume 95
container_issue 3
container_start_page 221
publishDate 2008
institution Swansea University
issn 1355-6037
doi_str_mv 10.1136/hrt.2008.144022
publisher Heart
college_str Faculty of Medicine, Health and Life Sciences
hierarchytype
hierarchy_top_id facultyofmedicinehealthandlifesciences
hierarchy_top_title Faculty of Medicine, Health and Life Sciences
hierarchy_parent_id facultyofmedicinehealthandlifesciences
hierarchy_parent_title Faculty of Medicine, Health and Life Sciences
department_str Swansea University Medical School - Medicine{{{_:::_}}}Faculty of Medicine, Health and Life Sciences{{{_:::_}}}Swansea University Medical School - Medicine
document_store_str 0
active_str 0
description The objective was to compare the performance of a number of risk models in predicting outcome for patients presenting to hospital with acute coronary syndrome (ACS) using data obtained in the Myocardial Infarction National Audit Project (MINAP) - a national registry of care provided by hospitals in England and Wales. There were 100 686 cases of ACS between 2003 and 2005.The performance was expressed as the C-index for predicting the likelihood of death over the time period for which each model was designed. The C-indexes were: PURSUIT C-index 0.79 (95% confidence interval 0.78 to 0.80); GUSTO-1 0.80 (0.79 to 0.81); GRACE in-hospital 0.80 (0.80 to 0.81); GRACE 6-month 0.80 (0.79 to 0.80); SRI 0.79 (0.78 to 0.80); and EMMACE 0.78 (0.77 to 0.78). EMMACE maintained its ability to discriminate 30-day mortality throughout different ACS diagnoses. For all models the discriminative performance was reduced in patients with diabetes, chronic renal failure or angina. Simpler risk models had comparable performance to more complex risk models.
published_date 2008-12-31T03:10:37Z
_version_ 1763749960325529600
score 11.013731