Repository logo
 
Publication

KAsH Score predicts long term mortality after acute myocardial

2020-01-21Journal article Open access
Simple item page
dc.contributor.authorMonteiro, Joel Ponte
dc.contributor.authorSousa, João Adriano
dc.contributor.authorSousa Mendonça, Flávio
dc.contributor.authorNeto, Micaela
dc.contributor.authorRodrigues, Ricardo
dc.contributor.authorGomes Serrão, Marco
dc.contributor.authorSilva, Bruno
dc.contributor.authorMendonça, Maria Isabel
dc.contributor.authorFaria, Ana Paula
dc.contributor.authorHenriques, Eva
dc.contributor.authorDrumond Freitas, António
dc.date.accessioned2020-09-01T16:55:27Z
dc.date.available2020-09-01T16:55:27Z
dc.date.issued2020-01-21
dc.description.abstractIntroduction: Complex risk scores have limited applicability in the assessment of patients with myocardial infarction (MI). In this work, the authors aimed to develop a simple to use clinical score to stratify the in-hospital mortality risk of patients with MI at first medical contact. Methods: In this single-center prospective registry assessing 1504 consecutively admitted patients with MI, the strongest predictors of in-hospital mortality were selected through multivariate logistic regression. The KAsH score was developed according to the following formula: KAsH=(Killip class×Age×Heart rate)/systolic blood pressure. Its predictive power was compared to previously validated scores using the DeLong test. The score was categorized and further compared to the Killip classification. Results: The KAsH score displayed excellent predictive power for in-hospital mortality, superior to other well-validated risk scores (AUC: KAsH 0.861 vs. GRACE 0.773, p<0.001) and robust in subgroup analysis. KAsH maintained its predictive capacity after adjustment for multiple confounding factors such as diabetes, heart failure, mechanical complications and bleeding (OR 1.004, 95% CI 1.001-1.008, p=0.012) and reclassified 81.5% of patients into a better risk category compared to the Killip classification. KAsH’s categorization displayed excellent mortality discrimination (KAsH 1: 1.0%, KAsH 2: 8.1%, KAsH 3: 20.4%, KAsH 4: 55.2%) and better mortality prediction than the Killip classification (AUC: KAsH 0.839 vs. Killip 0.775, p<0.0001). Conclusion: KAsH, an easy to use score calculated at first medical contact with patients with MI, displays better predictive power for in-hospital mortality than existing scores. © 2019 Sociedade Portuguesa de Cardiologia. Published by Elsevier Espa˜na, S.L.U. This is na open access article under the CC BY-NC-ND licensept_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationRev Port Cardiol. 2019;38(10):681---688pt_PT
dc.identifier.doi10.1016/j.repc.2019.12.005pt_PT
dc.identifier.issn1646-0758
dc.identifier.urihttp://hdl.handle.net/10400.26/33248
dc.language.isoengpt_PT
dc.publisherSociedade Portuguesa de Cardiologiapt_PT
dc.relation.publisherversionwww.revportcardiol.orgpt_PT
dc.subjectMyocardial infarctionpt_PT
dc.subjectPrognosispt_PT
dc.subjectMadeira Islandpt_PT
dc.subjectPortugalpt_PT
dc.subjectscore riskpt_PT
dc.subjectKAsHpt_PT
dc.titleKAsH Score predicts long term mortality after acute myocardialpt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.citation.endPage688pt_PT
oaire.citation.startPage681pt_PT
person.familyNameMendonca
person.familyNameHenriques
person.givenNameMaria Isabel
person.givenNameEva
person.identifier.orcid0000-0001-5450-5213
person.identifier.orcid0000-0002-7312-5272
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
relation.isAuthorOfPublicationba3f31da-2490-4275-b438-a2bdef886460
relation.isAuthorOfPublication724bbfba-cf3b-427f-94ed-838be17ea7c3
relation.isAuthorOfPublication.latestForDiscoveryba3f31da-2490-4275-b438-a2bdef886460

Files

Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
1-s2.0-S0870255119305785-main.pdf
Size:
856.94 KB
Format:
Adobe Portable Document Format
Download

Collections

SESARAM - C - Artigos