Age as a Mortality Predictor in ECPR Patients

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00064165%3A_____%2F24%3A10485779" target="_blank" >RIV/00064165:_____/24:10485779 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/00216224:14110/24:00137411 RIV/00216208:11110/24:10485779 RIV/00216208:11120/24:43927595

Výsledek na webu

<a href="https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=viB6FBb1Q" target="_blank" >https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=viB6FBb1Q</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.3390/medicina60091444" target="_blank" >10.3390/medicina60091444</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Age as a Mortality Predictor in ECPR Patients

Popis výsledku v původním jazyce

Extracorporeal cardiopulmonary resuscitation (ECPR) is an advanced technique using extracorporeal membrane oxygenation (ECMO) to support patients with refractory cardiac arrest. Age significantly influences ECPR outcomes, with younger patients generally experiencing better survival and neurological outcomes due to many aspects. This review explores the impact of age on ECPR effectiveness, emphasizing the need to consider age alongside other clinical factors in patient selection. Survival rates differ notably between in-hospital (IHCA) and out-of-hospital cardiac arrest (OHCA), highlighting the importance of rapid intervention. The potential of artificial intelligence to develop predictive models for ECPR outcomes is discussed, aiming to improve decision-making. Ethical considerations around age-based treatment decisions are also addressed. This review advocates for a balanced approach to ECPR, integrating clinical and ethical perspectives to optimize patient outcomes across all age groups.

Název v anglickém jazyce

Age as a Mortality Predictor in ECPR Patients

Popis výsledku anglicky

Extracorporeal cardiopulmonary resuscitation (ECPR) is an advanced technique using extracorporeal membrane oxygenation (ECMO) to support patients with refractory cardiac arrest. Age significantly influences ECPR outcomes, with younger patients generally experiencing better survival and neurological outcomes due to many aspects. This review explores the impact of age on ECPR effectiveness, emphasizing the need to consider age alongside other clinical factors in patient selection. Survival rates differ notably between in-hospital (IHCA) and out-of-hospital cardiac arrest (OHCA), highlighting the importance of rapid intervention. The potential of artificial intelligence to develop predictive models for ECPR outcomes is discussed, aiming to improve decision-making. Ethical considerations around age-based treatment decisions are also addressed. This review advocates for a balanced approach to ECPR, integrating clinical and ethical perspectives to optimize patient outcomes across all age groups.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

30221 - Critical care medicine and Emergency medicine

Projekt

—

Návaznosti

V - Vyzkumna aktivita podporovana z jinych verejnych zdroju

Rok uplatnění

2024

Kód důvěrnosti údajů

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

Název periodika

Medicina (Kaunas, Lithuania)

ISSN

1010-660X

e-ISSN

1648-9144

Svazek periodika

60

Číslo periodika v rámci svazku

9

Stát vydavatele periodika

LT - Litevská republika

Počet stran výsledku

6

Strana od-do

1444

Kód UT WoS článku

001326207400001

EID výsledku v databázi Scopus

2-s2.0-85205325732