Evidence map›Paper›PMID 30888443›Full record

Observational studyIntensive care medicine2019

Cardiovascular clusters in septic shock combining clinical and echocardiographic parameters: a post hoc analysis.

Guillaume Geri, Philippe Vignon, Alix Aubry, Anne-Laure Fedou, Cyril Charron, Stein Silva, Xavier Repessé, Antoine Vieillard-Baron

Abstract readMulticenter StudyObservational Study
PubMed Publisher
In one paragraph

Observational study in Intensive care medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 129 papers, 7 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
129citing papers in PubMed, 7 pooled it
19.2field-weighted citation impact, top 1% of its field
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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

129 citing papers in PubMed, 7 syntheses or guidelines pooled it, 262 citations in OpenAlex.

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69 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors at 4 institutions in 1 country.

Guillaume GeriMedical-Surgical Intensive Care Unit, Ambroise Paré University Hospital, APHP, 9 avenue Charles de Gaulle, 92100, Boulogne-Billancourt, France.ORCID 0000-0002-7691-6635
Philippe VignonMedical-Surgical Intensive Care Unit, Limoges University Hospital, Limoges, France.
Alix AubryMedical-Surgical Intensive Care Unit, Ambroise Paré University Hospital, APHP, 9 avenue Charles de Gaulle, 92100, Boulogne-Billancourt, France.
Anne-Laure FedouMedical-Surgical Intensive Care Unit, Limoges University Hospital, Limoges, France.
Cyril CharronMedical-Surgical Intensive Care Unit, Ambroise Paré University Hospital, APHP, 9 avenue Charles de Gaulle, 92100, Boulogne-Billancourt, France.
Stein SilvaMedical-Surgical Intensive Care Unit, Teaching Hospital of Toulouse, Toulouse, France.
Xavier RepesséMedical-Surgical Intensive Care Unit, Ambroise Paré University Hospital, APHP, 9 avenue Charles de Gaulle, 92100, Boulogne-Billancourt, France.
Antoine Vieillard-BaronMedical-Surgical Intensive Care Unit, Ambroise Paré University Hospital, APHP, 9 avenue Charles de Gaulle, 92100, Boulogne-Billancourt, France. antoine.vieillard-baron@aphp.fr.
Inserm · FRHôpital Ambroise-Paré · FRUniversité de Limoges · FRUniversité de Versailles Saint-Quentin-en-Yvelines · FR

Funding

CHU de Limoges CIC-P 1435
6 · The paper itself

Abstract

purposeMechanisms of circulatory failure are complex and frequently intricate in septic shock. Better characterization could help to optimize hemodynamic support.

methodsTwo published prospective databases from 12 different ICUs including echocardiographic monitoring performed by a transesophageal route at the initial phase of septic shock were merged for post hoc analysis. Hierarchical clustering in a principal components approach was used to define cardiovascular phenotypes using clinical and echocardiographic parameters. Missing data were imputed.

findingsA total of 360 patients (median age 64 [55; 74]) were included in the analysis. Five different clusters were defined: patients well resuscitated (cluster 1, n = 61, 16.9%) without left ventricular (LV) systolic dysfunction, right ventricular (RV) failure or fluid responsiveness, patients with LV systolic dysfunction (cluster 2, n = 64, 17.7%), patients with hyperkinetic profile (cluster 3, n = 84, 23.3%), patients with RV failure (cluster 4, n = 81, 22.5%) and patients with persistent hypovolemia (cluster 5, n = 70, 19.4%). Day 7 mortality was 9.8%, 32.8%, 8.3%, 27.2%, and 23.2%, while ICU mortality was 21.3%, 50.0%, 23.8%, 42.0%, and 38.6% in clusters 1, 2, 3, 4, and 5, respectively (p < 0.001 for both).

conclusionOur clustering approach on a large population of septic shock patients, based on clinical and echocardiographic parameters, was able to characterize five different cardiovascular phenotypes. How this could help physicians to optimize hemodynamic support should be evaluated in the future.

Indexed as

AgedEchocardiographyFemaleHemodynamicsHumansIntensive Care UnitsMaleMiddle AgedOrgan Dysfunction ScoresProspective StudiesShock, SepticSimplified Acute Physiology ScoreStatistics, NonparametricStroke VolumeClusterHemodynamic failureSeptic shock

Identifiers

PMID30888443
OpenAlexW2923965910

What OpenQuestion holds

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Read underepoch 390

Registered trials

None linked

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.