Risk of in-hospital mortality identified according to the typology of patiets with acute heart failure: Classification tree analysis on data from the Acute Heart Failure Database - main registry

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F65269705%3A_____%2F12%3A%230001980" target="_blank" >RIV/65269705:_____/12:#0001980 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/65269705:_____/13:#0002046

Výsledek na webu

<a href="http://dx.doi.org/10.1016/j.jcrc.2012.09.014" target="_blank" >http://dx.doi.org/10.1016/j.jcrc.2012.09.014</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1016/j.jcrc.2012.09.014" target="_blank" >10.1016/j.jcrc.2012.09.014</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Risk of in-hospital mortality identified according to the typology of patiets with acute heart failure: Classification tree analysis on data from the Acute Heart Failure Database - main registry

Popis výsledku v původním jazyce

PURPOSE: The purposes of this study are to identify the strongest clinical parameters in relation to in-hospital mortality, which are available in the earliest phase of the hospitalization of patients, and to create an easy tool for the early identification of patients at risk. MATERIALS AND METHODS: The classification and regression tree analysis was applied to data from the Acute Heart Failure Database-Main registry comprising patients admitted to specialized cardiology centers with all syndromes of acute heart failure. The classification model was built on derivation cohort (n = 2543) and evaluated on validation cohort (n = 1387). RESULTS: The classification tree stratifies patients according to the presence of cardiogenic shock (CS), the level of creatinine, and the systolic blood pressure (SBP) at admission into the 5 risk groups with in-hospital mortality ranging from 2.8% to 66.2%. Patients without CS and creatinine level of 155 ?mol/L or less were classified into very-low-risk

Název v anglickém jazyce

Risk of in-hospital mortality identified according to the typology of patiets with acute heart failure: Classification tree analysis on data from the Acute Heart Failure Database - main registry

Popis výsledku anglicky

PURPOSE: The purposes of this study are to identify the strongest clinical parameters in relation to in-hospital mortality, which are available in the earliest phase of the hospitalization of patients, and to create an easy tool for the early identification of patients at risk. MATERIALS AND METHODS: The classification and regression tree analysis was applied to data from the Acute Heart Failure Database-Main registry comprising patients admitted to specialized cardiology centers with all syndromes of acute heart failure. The classification model was built on derivation cohort (n = 2543) and evaluated on validation cohort (n = 1387). RESULTS: The classification tree stratifies patients according to the presence of cardiogenic shock (CS), the level of creatinine, and the systolic blood pressure (SBP) at admission into the 5 risk groups with in-hospital mortality ranging from 2.8% to 66.2%. Patients without CS and creatinine level of 155 ?mol/L or less were classified into very-low-risk

Druh

J_x - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)

CEP obor

FA - Kardiovaskulární nemoci včetně kardiochirurgie

OECD FORD obor

—

Projekt

—

Návaznosti

V - Vyzkumna aktivita podporovana z jinych verejnych zdroju

Rok uplatnění

2013

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Journal of Critical Care

ISSN

0883-9441

e-ISSN

—

Svazek periodika

27

Číslo periodika v rámci svazku

12

Stát vydavatele periodika

US - Spojené státy americké

Počet stran výsledku

9

Strana od-do

1-9

Kód UT WoS článku

—

EID výsledku v databázi Scopus

—