J 2023

The Prognosis of Cardiogenic Shock Following Acute Myocardial Infarction-an Analysis of 2693 Cases From a Prospective Multicenter Registry

MUZAFAROVA, Tamilla, Zuzana MOTOVSKA, Ota HLINOMAZ, Petr KALA, Milan HROMADKA et. al.

Basic information

Original name

The Prognosis of Cardiogenic Shock Following Acute Myocardial Infarction-an Analysis of 2693 Cases From a Prospective Multicenter Registry

Authors

MUZAFAROVA, Tamilla (203 Czech Republic), Zuzana MOTOVSKA (203 Czech Republic), Ota HLINOMAZ (203 Czech Republic, belonging to the institution), Petr KALA (203 Czech Republic, belonging to the institution), Milan HROMADKA (203 Czech Republic), Jan PRECEK (203 Czech Republic), Jan MROZEK (203 Czech Republic), Jan MATEJKA (203 Czech Republic), Jiri KETTNER (203 Czech Republic), Josef BIS (203 Czech Republic) and Jiří JARKOVSKÝ (203 Czech Republic, belonging to the institution)

Edition

Deutsches Ärzteblatt international, Cologne, Deutscher Ärzte-Verlag, 2023, 1866-0452

Other information

Language

English

Type of outcome

Článek v odborném periodiku

Field of Study

30201 Cardiac and Cardiovascular systems

Country of publisher

Germany

Confidentiality degree

není předmětem státního či obchodního tajemství

References:

Impact factor

Impact factor: 7.700 in 2022

RIV identification code

RIV/00216224:14110/23:00133066

Organization unit

Faculty of Medicine

UT WoS

001113463700004

Keywords in English

Cardiogenic Shock; Acute Myocardial Infarction

Tags

International impact, Reviewed
Změněno: 8/3/2024 14:36, Mgr. Tereza Miškechová

Abstract

V originále

The analysis is based on data from the national all-comers registry, the cardiovascular interventions module of which is a prospective multicenter registry that has collected data on all percutaneous coronary interventions (PCI) performed in all PCI centers in the Czech Republic since 2005. Standard descriptive statistics were applied in the analysis: absolute and relative frequencies for categorical variables, means with standard deviations for continuous variables. Univariate and multivariate logistic regressions adjusted for the centers were used for the descriptive analysis of predictors of mortality. Kaplan‒Meier methodology and the hazard ratio (HR), based on the Cox proportional hazards model, were applied for the description of time to event during the evaluated time window. Analyses were conducted using SPSS 28.0.1.1. For the evaluation of the association with comorbidities, the Deyo-Charlson Comorbidity Index based on the International Classification of Diseases codes was used.

Links

LX22NPO5104, research and development project
Name: Národní institut pro výzkum metabolických a kardiovaskulárních onemocnění (Acronym: CarDia)
Investor: Ministry of Education, Youth and Sports of the CR, 5.1 EXCELES
90249, large research infrastructures
Name: CZECRIN IV