Predicting in-hospital outcomes in acute coronary syndrome

Predicting in-hospital outcomes in acute coronary syndrome

The authors propose a prognostic model for assessing death risk in patients hospitalized with acute coronary syndrome (possible myocardial infarction or unstable angina). The model is based on parameters registered at admission and further calculation of death risk during in-hospital follow-up perio...

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Main Authors: R. T. Saygitov, M. G. Glezer, D. R. Sementsov, I. V. Kostomarova, N. A. Malygina
Format: Article
Language:Russian
Published: «FIRMA «SILICEA» LLC  2006-04-01
Series:Российский кардиологический журнал
Subjects:
acute coronary syndrome
death risk assessment
infhospital outcome prognosis
Online Access:https://russjcardiol.elpub.ru/jour/article/view/1820
id doaj-2fa129e33b3f4e899dcfcf6c8b14624c
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spelling doaj-2fa129e33b3f4e899dcfcf6c8b14624c2021-07-28T14:02:08Zrus«FIRMA «SILICEA» LLC Российский кардиологический журнал1560-40712618-76202006-04-010242491581Predicting in-hospital outcomes in acute coronary syndromeR. T. Saygitov0M. G. Glezer1D. R. Sementsov2I. V. Kostomarova3N. A. Malygina4Российский научноFисследовательский институт геронтологииНИЦ ММА им. И.М. Сеченова, городская клиническая больница №59НИЦ ММА им. И.М. Сеченова, городская клиническая больница №59Российский научноFисследовательский институт геронтологииРоссийский научноFисследовательский институт геронтологииThe authors propose a prognostic model for assessing death risk in patients hospitalized with acute coronary syndrome (possible myocardial infarction or unstable angina). The model is based on parameters registered at admission and further calculation of death risk during in-hospital follow-up period. This predicted risk gives a chance to divide patients into risk groups - with minimal (lethality <1 %) to maximal (lethality >40 %) risk. This highly effective technology provides reproducible prognostic results.https://russjcardiol.elpub.ru/jour/article/view/1820acute coronary syndromedeath risk assessmentinfhospital outcome prognosis
collection DOAJ
language Russian
format Article
sources DOAJ
author R. T. Saygitov
M. G. Glezer
D. R. Sementsov
I. V. Kostomarova
N. A. Malygina
spellingShingle R. T. Saygitov
M. G. Glezer
D. R. Sementsov
I. V. Kostomarova
N. A. Malygina
Predicting in-hospital outcomes in acute coronary syndrome
Российский кардиологический журнал
acute coronary syndrome
death risk assessment
infhospital outcome prognosis
author_facet R. T. Saygitov
M. G. Glezer
D. R. Sementsov
I. V. Kostomarova
N. A. Malygina
author_sort R. T. Saygitov
title Predicting in-hospital outcomes in acute coronary syndrome
title_short Predicting in-hospital outcomes in acute coronary syndrome
title_full Predicting in-hospital outcomes in acute coronary syndrome
title_fullStr Predicting in-hospital outcomes in acute coronary syndrome
title_full_unstemmed Predicting in-hospital outcomes in acute coronary syndrome
title_sort predicting in-hospital outcomes in acute coronary syndrome
publisher «FIRMA «SILICEA» LLC 
series Российский кардиологический журнал
issn 1560-4071
2618-7620
publishDate 2006-04-01
description The authors propose a prognostic model for assessing death risk in patients hospitalized with acute coronary syndrome (possible myocardial infarction or unstable angina). The model is based on parameters registered at admission and further calculation of death risk during in-hospital follow-up period. This predicted risk gives a chance to divide patients into risk groups - with minimal (lethality <1 %) to maximal (lethality >40 %) risk. This highly effective technology provides reproducible prognostic results.
topic acute coronary syndrome
death risk assessment
infhospital outcome prognosis
url https://russjcardiol.elpub.ru/jour/article/view/1820
work_keys_str_mv AT rtsaygitov predictinginhospitaloutcomesinacutecoronarysyndrome
AT mgglezer predictinginhospitaloutcomesinacutecoronarysyndrome
AT drsementsov predictinginhospitaloutcomesinacutecoronarysyndrome
AT ivkostomarova predictinginhospitaloutcomesinacutecoronarysyndrome
AT namalygina predictinginhospitaloutcomesinacutecoronarysyndrome
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