Journal article 1090 views
Evaluation of risk scores for risk stratification of acute coronary syndromes in the Myocardial Infarction National Audit Project (MINAP) database.
Heart, Volume: 95, Issue: 3, Pages: 221 - 227
Swansea University Author: Clive Weston
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DOI (Published version): 10.1136/hrt.2008.144022
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...
Published in: | Heart |
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ISSN: | 1355-6037 |
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Heart
2008
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URI: | https://cronfa.swan.ac.uk/Record/cronfa10009 |
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<?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 100 686 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> |
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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 |
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|
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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 |
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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 |
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1763749960325529600 |
score |
11.037319 |