Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

Derivation and validation of generalized sepsis-induced acute respiratory failure phenotypes among critically ill patients: a retrospective study.

Critical care (London, England) - 1 Oct 2024

Choudhary Tilendra, Upadhyaya Pulakesh, Davis Carolyn M, Yang Philip, Tallowin Simon, Lisboa Felipe A, Schobel Seth A, Coopersmith Craig M, Elster Eric A, Buchman Timothy G, Dente Christopher J, Kamaleswaran Rishikesan

Abstract excerpt

BACKGROUND: Septic patients who develop acute respiratory failure (ARF) requiring mechanical ventilation represent a heterogenous subgroup of critically ill patients with widely variable clinical characteristics. Identifying distinct phenotypes of these patients may reveal insights about the broader heterogeneity in the clinical course of sepsis, considering multi-organ dynamics. We aimed to derive novel...

Topics

Join the communities discussing this publication.

Aged
Critical Illness
Intensive Care Units
Phenotype
Respiration, Artificial

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Respiratory Insufficiency

Source

Open in PubMed Open full text

Identifiers

PMID: 39354616
DOI: 10.1186/s13054-024-05061-4
PMCID: PMC11445942

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 1 Sept 2026.

Community interpretation

Discuss the evidence

Ask a question, add context or challenge an interpretation. Community activity is separate from scientific evidence strength.

0

discussions

0

replies

Citations encouraged

Claims remain attributable.

No discussion yet

Be the first to add a careful, cited interpretation.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Derivation and validation of generalized sepsis-induced acute respiratory failure phenotypes among critically ill patients: a retrospective study.PMID 39354616Read ↗

Derivation and Validation of Generalized Sepsis-induced Acute Respiratory Failure Phenotypes Among Critically Ill Patients: A Retrospective StudySemantic proximity Read ↗

Phenotype discovery and mortality prediction in sepsis-induced myocardial dysfunction: a deep learning and stratified modeling approach.Semantic proximity Read ↗

A Machine Learning Method for Early Stewardship of Invasive Mechanical Ventilation in Patients with SepsisSemantic proximity Read ↗

Development and validation of clinical phenotypes in sepsis-associated liver injury using multi-algorithm consensus classification: a retrospective cohort study.Semantic proximity Read ↗

Impact of Clinical Sepsis Phenotypes on Mortality and Fluid Status in Critically Ill Patients.Semantic proximity Read ↗

A Multivariate Phenotypical Approach of Sepsis and Septic Shock – a Comprehensive Narrative Literature ReviewSemantic proximity Read ↗

Five novel clinical phenotypes for critically ill patients with mechanical ventilation in intensive care units: a retrospective and multi database study.Semantic proximity Read ↗

Identification of distinct clinical phenotypes in mechanically ventilated patients with acute brain dysfunction using cluster analysis.Semantic proximity Read ↗

[Sepsis phenotypes and individualized fluid therapy in patients with chronic diseases].Semantic proximity Read ↗

Clinical Phenotyping for Prognosis and Immunotherapy Guidance in Bacterial Sepsis and COVID-19.Semantic proximity Read ↗

Identification of Clinical Phenotypes in Septic Patients Presenting With Hypotension or Elevated LactateSemantic proximity Read ↗

Deploying unsupervised clustering analysis to derive clinical phenotypes and risk factors associated with mortality risk in 2,022 critically ill patients with COVID-19 in SpainSemantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.