2021
DOI: 10.1093/ehjacc/zuab054
|View full text |Cite
|
Sign up to set email alerts
|

Comparison of risk prediction models in infarct-related cardiogenic shock

Abstract: Aims Several prediction models have been developed to allow accurate risk assessment and provide better treatment guidance in patients with infarct-related cardiogenic shock (CS). However, comparative data between these models are still scarce. The objective of the study is to externally validate different risk prediction models in infarct-related CS and compare their predictive value in the early clinical course. Methods and results … Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

0
13
0

Year Published

2022
2022
2024
2024

Publication Types

Select...
7

Relationship

2
5

Authors

Journals

citations
Cited by 12 publications
(13 citation statements)
references
References 22 publications
0
13
0
Order By: Relevance
“…More likely, increasing age is associated with higher mortality in CS, regardless of shock severity as shown in a recent analysis of a large cohort of the Cardiogenic Shock Work Group registry, 31 a cohort of shock patients out of the Utah Cardiac Recovery shock database, 32 broad analysis of risk scores based on the CULPRIT-shock cohort 33 and most other trials and registries. 26,34,35 These findings are supported by our observation, too, as age was found to be a strong predictor of mortality, especially in patients with cardiac arrest.…”
Section: Discussionmentioning
confidence: 98%
“…More likely, increasing age is associated with higher mortality in CS, regardless of shock severity as shown in a recent analysis of a large cohort of the Cardiogenic Shock Work Group registry, 31 a cohort of shock patients out of the Utah Cardiac Recovery shock database, 32 broad analysis of risk scores based on the CULPRIT-shock cohort 33 and most other trials and registries. 26,34,35 These findings are supported by our observation, too, as age was found to be a strong predictor of mortality, especially in patients with cardiac arrest.…”
Section: Discussionmentioning
confidence: 98%
“…even reported lower in‐hospital mortality in AMICS patients with OHCA than in those without OHCA. Possibly, the absence of difference in mortality in patients with and without an OHCA can be explained by a possible very high shock severity (SCAI E) in our population 27 . Also, our study population differs from the general AMICS population by exclusion bias.…”
Section: Discussionmentioning
confidence: 80%
“…Possibly, the absence of difference in mortality in patients with and without an OHCA can be explained by a possible very high shock severity (SCAI E) in our population. 27 Also, our study population differs from the general AMICS population by exclusion bias. Supposedly, patients with severe neurological damage after OHCA did not receive Impella or VA-ECMO support.…”
Section: Costsmentioning
confidence: 96%
“…Different scores were developed to assess CS severity and to support future identification of potentially suitable patients for mechanical circulatory support (e.g., IABP-SHOCK II Score, CardShock Score) [ 19 , 20 ]. Since these scores provided only modest predictive discrimination on external validation [ 21 ], the decision for mechanical circulatory support in clinical routine should not be based solely on these scores. The more objective CLIP-score based on laboratory values only gave promising results on predicting mortality in a recent publication [ 22 ].…”
Section: Patient Selectionmentioning
confidence: 99%