PMID- 32590698
OWN - NLM
STAT- MEDLINE
DCOM- 20211215
LR  - 20211215
IS  - 1540-0514 (Electronic)
IS  - 1073-2322 (Linking)
VI  - 55
IP  - 1
DP  - 2021 Jan 1
TI  - STEMI, Cardiogenic Shock, and Mortality in Patients Admitted for Acute 
      Angiography: Associations and Predictions from Plasma Proteome Data.
PG  - 41-47
LID - 10.1097/SHK.0000000000001595 [doi]
AB  - AIM: Acute myocardial infarction (AMI) remains a major cause of mortality and 
      morbidity, and cardiogenic shock (CS) a major cause of hospital mortality after 
      AMI. Especially for ST elevation myocardial infarction (STEMI) patients, fast 
      intervention is essential.Few proteins have proven clinically applicable for AMI. 
      Most proposed biomarkers are based on a priori hypothesis-driven studies of 
      single proteins, not enabling identification of novel candidates. For clinical 
      use, the ability to predict AMI is important; however, studies of proteins in 
      prediction models are surprisingly scarce.Consequently, we applied proteome data 
      for identifying proteins associated with definitive STEMI, CS, and all-cause 
      mortality after admission, and examined the ability of the proteins to predict 
      these outcomes. METHODS AND RESULTS: Proteome-wide data of 497 patients with 
      suspected STEMI were investigated; 381 patients were diagnosed with STEMI, 35 
      with CS, and 51 died during the first year. Data analysis was conducted by 
      logistic and Cox regression modeling for association analysis, and by 
      multivariable LASSO regression models for prediction modeling.Association studies 
      identified 4 and 29 proteins associated with definitive STEMI or mortality, 
      respectively. Prediction models for CS and mortality (holding two and five 
      proteins, respectively) improved the prediction ability as compared with 
      protein-free prediction models; AUC of 0.92 and 0.89, respectively. CONCLUSION: 
      The association analyses propose individual proteins as putative protein 
      biomarkers for definitive STEMI and survival after suspected STEMI, while the 
      prediction models put forward sets of proteins with putative predicting ability 
      of CS and survival. These proteins may be verified as biomarkers of potential 
      clinical relevance.
CI  - Copyright (c) 2020 by the Shock Society.
FAU - Debrabant, Birgit
AU  - Debrabant B
AD  - Epidemiology, Biostatistics and Biodemography, Department of Public Health, 
      University of Southern Denmark, Odense C, Denmark.
FAU - Halekoh, Ulrich
AU  - Halekoh U
AD  - Epidemiology, Biostatistics and Biodemography, Department of Public Health, 
      University of Southern Denmark, Odense C, Denmark.
FAU - Soerensen, Mette
AU  - Soerensen M
AD  - Epidemiology, Biostatistics and Biodemography, Department of Public Health, 
      University of Southern Denmark, Odense C, Denmark.
AD  - Center for Individualized Medicine in Arterial Diseases, Department of Clinical 
      Biochemistry and Pharmacology, Odense University Hospital, Odense C, Denmark.
AD  - Department of Clinical Genetics, Odense University Hospital, Odense C, Denmark.
FAU - Moller, Jacob Eifer
AU  - Moller JE
AD  - Department of Clinical Cardiology, Odense University Hospital, Odense C, Denmark.
AD  - Department of Cardiology, Rigshospitalet and Department of Clinical Medicine, 
      University of Copenhagen, Copenhagen, Denmark.
FAU - Hassager, Christian
AU  - Hassager C
AD  - Department of Cardiology, Rigshospitalet and Department of Clinical Medicine, 
      University of Copenhagen, Copenhagen, Denmark.
FAU - Frydland, Martin
AU  - Frydland M
AD  - Department of Cardiology, Rigshospitalet and Department of Clinical Medicine, 
      University of Copenhagen, Copenhagen, Denmark.
FAU - Palstrom, Nicolai
AU  - Palstrom N
AD  - Center for Individualized Medicine in Arterial Diseases, Department of Clinical 
      Biochemistry and Pharmacology, Odense University Hospital, Odense C, Denmark.
FAU - Hjelmborg, Jacob
AU  - Hjelmborg J
AD  - Epidemiology, Biostatistics and Biodemography, Department of Public Health, 
      University of Southern Denmark, Odense C, Denmark.
FAU - Beck, Hans Christian
AU  - Beck HC
AD  - Epidemiology, Biostatistics and Biodemography, Department of Public Health, 
      University of Southern Denmark, Odense C, Denmark.
AD  - Center for Individualized Medicine in Arterial Diseases, Department of Clinical 
      Biochemistry and Pharmacology, Odense University Hospital, Odense C, Denmark.
FAU - Rasmussen, Lars Melholt
AU  - Rasmussen LM
AD  - Epidemiology, Biostatistics and Biodemography, Department of Public Health, 
      University of Southern Denmark, Odense C, Denmark.
AD  - Center for Individualized Medicine in Arterial Diseases, Department of Clinical 
      Biochemistry and Pharmacology, Odense University Hospital, Odense C, Denmark.
LA  - eng
PT  - Journal Article
PT  - Research Support, Non-U.S. Gov't
PL  - United States
TA  - Shock
JT  - Shock (Augusta, Ga.)
JID - 9421564
RN  - 0 (Biomarkers)
RN  - 0 (Blood Proteins)
RN  - 0 (Proteome)
SB  - IM
MH  - Aged
MH  - Biomarkers/metabolism
MH  - Blood Proteins/*genetics/metabolism
MH  - Coronary Angiography
MH  - Female
MH  - Hospital Mortality
MH  - Hospitalization
MH  - Humans
MH  - Male
MH  - Middle Aged
MH  - Predictive Value of Tests
MH  - Proportional Hazards Models
MH  - *Proteome
MH  - ST Elevation Myocardial Infarction/*blood/diagnosis/*mortality
MH  - Shock, Cardiogenic/*blood/diagnosis/*mortality
MH  - Survival Rate
COIS- The authors report no conflicts of interest.
EDAT- 2020/06/27 06:00
MHDA- 2021/12/16 06:00
CRDT- 2020/06/27 06:00
PHST- 2020/06/27 06:00 [pubmed]
PHST- 2021/12/16 06:00 [medline]
PHST- 2020/06/27 06:00 [entrez]
AID - 00024382-202101000-00006 [pii]
AID - 10.1097/SHK.0000000000001595 [doi]
PST - ppublish
SO  - Shock. 2021 Jan 1;55(1):41-47. doi: 10.1097/SHK.0000000000001595.