Evidence map›Paper›PMID 39802301›Full record

ArticleEClinicalMedicine2025

Identifying biomarker-driven subphenotypes of cardiogenic shock: analysis of prospective cohorts and randomized controlled trials.

Sabri Soussi, Tuukka Tarvasmäki, Antoine Kimmoun, Mojtaba Ahmadiankalati, Feriel Azibani, Claudia C Dos Santos, Kevin Duarte, Etienne Gayat, Jacob C Jentzer, Veli-Pekka Harjola and 15 more

6 registry-linked trialsAbstract read
In one paragraph

Article in EClinicalMedicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 6 registered trials, which are not on this map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT01367093 completednot on this map

French and EuRopean Outcome Registry in Intensive Care Unit

TypeobservationalSponsorAssistance Publique - Hôpitaux de ParisRan2011 to 2015Enrolled2,137ConditionsIntensive Care Unit Syndrome, Tracheal Intubation Morbidity
NCT01367743 phase4completednot on this map

Optimizing the Use of Vasopressor After Coronary Reperfusion in Cardiogenic Shock Secondary to Myocardial Infarction. Pathophysiological Study Comparing the Efficacy and Cardio-circulatory Tolerability of Epinephrine and Norepinephrine

TypeinterventionalSponsorCentral Hospital, Nancy, FranceRan2011 to 2016Enrolled58ConditionsCardiogenic ShockArmsepinephrine perfusion, norepinephrine perfusion
NCT01374867 completednot on this map

Pathophysiology and Prognostic Factors in Cardiogenic Shock - CardShock Study

TypeobservationalSponsorHelsinki University Central HospitalRan2010 to 2013Enrolled220ConditionsCardiogenic Shock
NCT01927549 phase4completednot on this map

Prospective Randomized Multicenter Study Comparing Immediate Multivessel Revascularization by PCI Versus Culprit Lesion PCI With Staged Non-culprit Lesion Revascularization in Patients With Acute Myocardial Infarction Complicated by Cardiogenic Shock

TypeinterventionalSponsorUniversity of LuebeckRan2013 to 2017Enrolled706ConditionsCardiogenic Shock, Acute Myocardial Infarction, ComplicationsArmsImmediate multivessel PCI, Culprit Lesion only PCI
NCT03207165 phase4completednot on this map

Comparison of Milrinone Versus Dobutamine in a Heterogeneous Population of Critically Ill Patients

TypeinterventionalSponsorOttawa Heart Institute Research CorporationRan2017 to 2020Enrolled192ConditionsLow Cardiac Output Syndrome, Cardiogenic Shock, Acute Coronary Syndrome, Pulmonary EdemaArmsMilrinone, Dobutamine
NCT06376318 unknown statusnot on this map

Beyond the Syndromic Approach in Critical Care: Identifying Biomarker-driven Subphenotypes of Circulatory Shock

TypeobservationalSponsorSaint-Louis Hospital, Paris, FranceRan2024 to 2026Enrolled1,000ConditionsCirculatory Shock, Sepsis, Cardiogenic Shock, Major TraumaArmsInotrope, Mechanical circulatory support, anti-bodies
3 · Its place in the literature

Who cites it

15 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Cardiogenic Shock: Clinical Management, Outcomes and Future Directions.Journal of cardiovascular development and disease · 2026
    Review
  6. Article
  7. Article
  8. Review
  9. Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

25 authors.

Sabri SoussiDepartment of Anesthesiology and Pain Medicine, University of Toronto, Toronto, Ontario, Canada.
Tuukka TarvasmäkiHeart and Lung Center, Cardiology, Helsinki University Hospital and University of Helsinki, Finland.
Antoine KimmounCHRU de Nancy, 26920, Service de Réanimation Médicale Brabois, Nancy, Grand Est, France.
Mojtaba AhmadiankalatiDepartment of Public Health Sciences, Queen's University, Kingston, ON, Canada.
Feriel AzibaniUniversity of Paris Cité, Inserm UMR-S 942, Cardiovascular Markers in Stress Conditions (MASCOT), Paris, France.
Claudia C Dos SantosInterdepartmental Division of Critical Care, St Michael's Hospital, Keenan Research Centre for Biomedical Science and Institute of Medical Sciences, Faculty of Medicine, University of Toronto, Toronto, ON, Canada.
Kevin DuarteUniversité de Lorraine, Centre D'Investigations Cliniques Plurithématique, Institut National de la Santé et de la Recherche Médicale U1116, Nancy, France.
Etienne GayatUniversity of Paris Cité, Inserm UMR-S 942, Cardiovascular Markers in Stress Conditions (MASCOT), Paris, France.
Jacob C JentzerDepartment of Cardiovascular Medicine, Mayo Clinic Rochester, Rochester, MN, 55905, USA.
Veli-Pekka HarjolaDepartment of Emergency Medicine, Helsinki University Hospital, University of Helsinki, Helsinki, Finland.
Benjamin HibbertDepartment of Cardiovascular Medicine, Mayo Clinic Rochester, Rochester, MN, 55905, USA.
Christian JungDepartment of Cardiology, Pulmonology and Angiology, University Hospital, Düsseldorf, Germany.
Lassus JohanHeart and Lung Center, Cardiology, Helsinki University Hospital and University of Helsinki, Finland.
Bruno LevyCHRU de Nancy, 26920, Service de Réanimation Médicale Brabois, Nancy, Grand Est, France.
Zihang LuDepartment of Public Health Sciences, Queen's University, Kingston, ON, Canada.
Patrick R LawlerMcGill University Health Centre, Montreal, QC, Canada.
John C MarshallInterdepartmental Division of Critical Care, St Michael's Hospital, Keenan Research Centre for Biomedical Science and Institute of Medical Sciences, Faculty of Medicine, University of Toronto, Toronto, ON, Canada.
Janine PössHeart Center Leipzig at University of Leipzig and Leipzig Heart Science, Leipzig, Germany.
Malha SadouneUniversity of Paris Cité, Inserm UMR-S 942, Cardiovascular Markers in Stress Conditions (MASCOT), Paris, France.
Alexis NguyenUniversity of Paris Cité, Inserm UMR-S 942, Cardiovascular Markers in Stress Conditions (MASCOT), Paris, France.
Alexandre RaynorClinical Biochemistry Laboratory, Bichat Hospital, APHP, Paris, France.
Katell Peoc'hClinical Biochemistry Laboratory, Bichat Hospital, APHP, Paris, France.
Holger ThieleHeart Center Leipzig at University of Leipzig and Leipzig Heart Science, Leipzig, Germany.
Rebecca MathewCAPITAL Research Group, Division of Cardiology, Department of Medicine, University of Ottawa, Heart Institute, Ottawa, Canada.
Alexandre MebazaaUniversity of Paris Cité, Inserm UMR-S 942, Cardiovascular Markers in Stress Conditions (MASCOT), Paris, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Cardiogenic shock (CS) is a heterogeneous clinical syndrome, making it challenging to predict patient trajectory and response to treatment. This study aims to identify biological/molecular CS subphenotypes, evaluate their association with outcome, and explore their impact on heterogeneity of treatment effect (ShockCO-OP, NCT06376318). Methods: We used unsupervised clustering to integrate plasma biomarker data from two prospective cohorts of CS patients: CardShock (N = 205 [2010-2012, NCT01374867]) and the French and European Outcome reGistry in Intensive Care Units (FROG-ICU) (N = 228 [2011-2013, NCT01367093]) to determine the optimal number of classes. Thereafter, a simplified classifier (Euclidean distances) was used to assign the identified CS subphenotypes in three completed randomized controlled trials (RCTs) (OptimaCC, N = 57 [2011-2016, NCT01367743]; DOREMI, N = 192 [2017-2020, NCT03207165]; and CULPRIT-SHOCK, N = 434 [2013-2017, NCT01927549]) and explore heterogeneity of treatment effect with respect to 28-day mortality (primary outcome). Findings: Four biomarker-driven CS subphenotypes ('adaptive', 'non-inflammatory', 'cardiopathic', and 'inflammatory') were identified separately in the two cohorts. Patients in the inflammatory and cardiopathic subphenotypes had the highest 28-day mortality (p (log-rank test) = 0.0099 and 0.0055 in the CardShock and FROG-ICU cohorts, respectively). Subphenotype membership significantly improved risk stratification when added to traditional risk factors including the Society for Cardiovascular Angiography and Interventions (SCAI) shock stages (increase in Harrell's C-index by 4% ( Interpretation: Subphenotypes with the highest concentration of biomarkers of endothelial dysfunction and inflammation (inflammatory) or myocardial injury/fibrosis (cardiopathic) were associated with mortality independently from the SCAI shock stages. Funding: Dr Sabri Soussi was awarded the Canadian Institutes of Health Research (CIHR) Doctoral Foreign Study Award (DFSA) and the Merit Awards Program (Department of Anesthesiology and Pain Medicine, University of Toronto, Canada) for the current study.

Indexed as

Cardiogenic shockCritical careHeterogeneity of treatment effectPrecision medicineUnsupervised learning

Identifiers

PMID39802301
PMCPMC11718329

What OpenQuestion holds

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Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.