Detailed Information on Publication Record
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 |
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90249, large research infrastructures |
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