Computed tomography pulmonary angiography for acute pulmonary embolism : prediction of adverse outcomes and 90-day mortality in a single test

2019
journal article
article
15
cris.lastimport.wos2024-04-09T22:21:25Z
dc.abstract.enPurpose: Pulmonary embolism (PE) is a potentially fatal cardiopulmonary disease; therefore, rapid risk stratification is necessary to make decisions of appropriate management strategies. The aim of this study was to assess various computed tomography (CT) findings in order to find new prognostic factors of adverse outcome and mortality. Material and methods: The study enrolled 104 patients with acute PE. Based on their outcome, patients were categorised into four groups. Comorbidities such as ischaemic heart disease were obtained from their medical records. Patients CT angiography were reviewed for recording variables such as main pulmonary artery diameter and right ventricle (RV)/left ventricle (LV) ratio. Patient deaths up to three months since diagnosis of PE had been registered. Logistic regression analysis was performed to find predictors. Results: Based on multiple logistic regression, RV/LV ratio, LV diameter, and right-sided pulmonary infarction are predictors of mortality in 30 days. An RV/LV ratio of 1.19 could successfully discriminate patients who died within 30 days and those who did not. Conclusions: RV/LV ratio, LV diameter, right-sided pulmonary infarction, assessed with helical CT, can help predict 30-day mortality.pl
dc.contributor.authorAkhoundi, Nedapl
dc.contributor.authorFaghihi Langroudi, Taranehpl
dc.contributor.authorRajebi, Hamidpl
dc.contributor.authorHaghi, Sepidehpl
dc.contributor.authorParaham, Mersedepl
dc.contributor.authorKarami, Soniapl
dc.contributor.authorLangroudi, Fatemeh Kheiridoustpl
dc.date.accessioned2020-01-08T18:05:53Z
dc.date.available2020-01-08T18:05:53Z
dc.date.issued2019pl
dc.date.openaccess0
dc.description.accesstimew momencie opublikowania
dc.description.additionalBibliogr. s. e445-e446pl
dc.description.physicale436-e446pl
dc.description.versionostateczna wersja wydawcy
dc.description.volume84pl
dc.identifier.doi10.5114/pjr.2019.89896pl
dc.identifier.eissn1899-0967pl
dc.identifier.issn1733-134Xpl
dc.identifier.projectROD UJ / OPpl
dc.identifier.urihttps://ruj.uj.edu.pl/xmlui/handle/item/130195
dc.languageengpl
dc.language.containerengpl
dc.rightsUdzielam licencji. Uznanie autorstwa - Użycie niekomercyjne - Bez utworów zależnych 4.0 Międzynarodowa*
dc.rights.licenceCC-BY-NC-ND
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/legalcode.pl*
dc.share.typeotwarte czasopismo
dc.subject.enprognostic factorspl
dc.subject.enmortalitypl
dc.subject.enembolismpl
dc.subtypeArticlepl
dc.titleComputed tomography pulmonary angiography for acute pulmonary embolism : prediction of adverse outcomes and 90-day mortality in a single testpl
dc.title.journalPolish Journal of Radiologypl
dc.typeJournalArticlepl
dspace.entity.typePublication
cris.lastimport.wos
2024-04-09T22:21:25Z
dc.abstract.enpl
Purpose: Pulmonary embolism (PE) is a potentially fatal cardiopulmonary disease; therefore, rapid risk stratification is necessary to make decisions of appropriate management strategies. The aim of this study was to assess various computed tomography (CT) findings in order to find new prognostic factors of adverse outcome and mortality. Material and methods: The study enrolled 104 patients with acute PE. Based on their outcome, patients were categorised into four groups. Comorbidities such as ischaemic heart disease were obtained from their medical records. Patients CT angiography were reviewed for recording variables such as main pulmonary artery diameter and right ventricle (RV)/left ventricle (LV) ratio. Patient deaths up to three months since diagnosis of PE had been registered. Logistic regression analysis was performed to find predictors. Results: Based on multiple logistic regression, RV/LV ratio, LV diameter, and right-sided pulmonary infarction are predictors of mortality in 30 days. An RV/LV ratio of 1.19 could successfully discriminate patients who died within 30 days and those who did not. Conclusions: RV/LV ratio, LV diameter, right-sided pulmonary infarction, assessed with helical CT, can help predict 30-day mortality.
dc.contributor.authorpl
Akhoundi, Neda
dc.contributor.authorpl
Faghihi Langroudi, Taraneh
dc.contributor.authorpl
Rajebi, Hamid
dc.contributor.authorpl
Haghi, Sepideh
dc.contributor.authorpl
Paraham, Mersede
dc.contributor.authorpl
Karami, Sonia
dc.contributor.authorpl
Langroudi, Fatemeh Kheiridoust
dc.date.accessioned
2020-01-08T18:05:53Z
dc.date.available
2020-01-08T18:05:53Z
dc.date.issuedpl
2019
dc.date.openaccess
0
dc.description.accesstime
w momencie opublikowania
dc.description.additionalpl
Bibliogr. s. e445-e446
dc.description.physicalpl
e436-e446
dc.description.version
ostateczna wersja wydawcy
dc.description.volumepl
84
dc.identifier.doipl
10.5114/pjr.2019.89896
dc.identifier.eissnpl
1899-0967
dc.identifier.issnpl
1733-134X
dc.identifier.projectpl
ROD UJ / OP
dc.identifier.uri
https://ruj.uj.edu.pl/xmlui/handle/item/130195
dc.languagepl
eng
dc.language.containerpl
eng
dc.rights*
Udzielam licencji. Uznanie autorstwa - Użycie niekomercyjne - Bez utworów zależnych 4.0 Międzynarodowa
dc.rights.licence
CC-BY-NC-ND
dc.rights.uri*
http://creativecommons.org/licenses/by-nc-nd/4.0/legalcode.pl
dc.share.type
otwarte czasopismo
dc.subject.enpl
prognostic factors
dc.subject.enpl
mortality
dc.subject.enpl
embolism
dc.subtypepl
Article
dc.titlepl
Computed tomography pulmonary angiography for acute pulmonary embolism : prediction of adverse outcomes and 90-day mortality in a single test
dc.title.journalpl
Polish Journal of Radiology
dc.typepl
JournalArticle
dspace.entity.type
Publication
Affiliations

* The migration of download and view statistics prior to the date of April 8, 2024 is in progress.

Views
27
Views per month
Views per city
Hong Kong
6
Des Moines
5
Dublin
4
Ashburn
3
Wroclaw
2
Downloads
akhoundi_faghihi-langroudi_rajebi_haghi_paraham_karami_langroudi_computed_tomography_pulmonary_angiography_2019.pdf
20
akhoundi_faghihi-langroudi_rajebi_haghi_paraham_karami_langroudi_computed_tomography_pulmonary_angiography_2019.odt
14