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Related Experiment Video

Updated: Jan 23, 2026

Utilizing Percutaneous Ventricular Assist Devices in Acute Myocardial Infarction Complicated by Cardiogenic Shock
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Protein-based cardiogenic shock patient classifier.

Ferran Rueda1,2, Eva Borràs3,4, Cosme García-García1,2

  • 1Heart Institute, Hospital Universitari Germans Trias i Pujol, c/ Canyet SN, 08916 Badalona, Spain.

European Heart Journal
|June 18, 2019
PubMed
Summary
This summary is machine-generated.

A new protein score, Cardiogenic Shock 4 proteins (CS4P), accurately predicts short-term mortality in patients with cardiogenic shock. Combining CS4P with existing scores significantly improves risk stratification for better patient management.

Keywords:
90 daysCardiogenic shockMortalityProteome

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Area of Science:

  • Cardiovascular Medicine
  • Proteomics
  • Biomarker Discovery

Background:

  • Cardiogenic shock (CS) has a high short-term mortality rate.
  • Accurate risk stratification is crucial for guiding interventions and improving patient outcomes in CS.

Purpose of the Study:

  • To develop and validate a circulating protein-based score for predicting short-term mortality in patients with CS.
  • To assess the performance of the novel score alone and in combination with existing risk scores.

Main Methods:

  • Mass spectrometry was used for initial protein screening in a discovery cohort.
  • Targeted quantitative proteomics identified and validated a classifier in an independent cohort.
  • The classifier, Cardiogenic Shock 4 proteins (CS4P), comprises four specific circulating proteins.

Main Results:

  • The CS4P classifier demonstrated significant discrimination between low and high 90-day mortality risk groups.
  • Combining CS4P with the CardShock risk score improved predictive accuracy (C-statistic 0.84) and reclassification (NRI 0.49).
  • Similar improvements were observed when CS4P was combined with the IABP-SHOCK II risk score (NRI 0.57).

Conclusions:

  • The CS4P is a novel, validated protein-based classifier for short-term mortality risk stratification in CS patients.
  • CS4P enhances the predictive power of existing risk scores, aiding clinical decision-making for advanced therapies.