Discover Community Create You

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

Development of clinical phenotypes and biological profiles via proteomic analysis of trauma patients.

Critical care (London, England) - 6 Aug 2022

Tachino Jotaro, Matsumoto Hisatake, Sugihara Fuminori, Seno Shigeto, Okuzaki Daisuke, Kitamura Tetsuhisa, Komukai Sho, Kido Yoshiyuki, Kojima Takashi, Togami Yuki, Katayama Yusuke, Nakagawa Yuko, Ogura Hiroshi

Abstract excerpt

BACKGROUND: Trauma is a heterogeneous condition, and specific clinical phenotypes may identify target populations that could benefit from certain treatment strategies. In this retrospective study, we determined clinical phenotypes and identified new target populations of trauma patients and their treatment strategies. METHODS: We retrospectively analyzed datasets from the Japan Trauma Data Bank and determined...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Inflammation
Share to Phenotype

Methodology Data sources Editorial policy Privacy Delete account & data About Contact Helena Bioinformatics

Share to Proteomics

Source

Open in PubMed Open full text

Identifiers

PMID: 35933364
DOI: 10.1186/s13054-022-04103-z
PMCID: PMC9357328

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-08.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence. Graph snapshot: 2026-09-29.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Development of clinical phenotypes and biological profiles via proteomic analysis of trauma patients.PMID 35933364Read ↗

Derivation of Coagulation Phenotypes and the Association with Prognosis in Traumatic Brain Injury: A Cluster Analysis of Nationwide Multicenter Study.Semantic proximity Read ↗

Development of a predictive algorithm for patient survival after traumatic injury using a five analyte blood panelSemantic proximity Read ↗

Derivation of coagulation phenotypes and the association with in-hospital mortality in traumatic brain injurySemantic proximity Read ↗

Heterogeneity of acute traumatic brain injured patients: how to identify phenotypes and tailor specific treatment.Semantic proximity Read ↗

Trans-Omics analysis of post injury thrombo-inflammation identifies endotypes and trajectories in trauma patientsSemantic proximity Read ↗

Key laboratory changes in severe trauma, a different pattern for each clinical phenotype.Semantic proximity Read ↗

Disseminated Intravascular Coagulation Immediately after Trauma Predicts a Poor Prognosis in Severely Injured Patients: A Sub-analysis of a Multicenter Prospective Study on Disseminated Intravascular Coagulation in TraumaSemantic proximity Read ↗

Trauma induced coagulopathy is limited to only one out of four shock induced endotheliopathy (SHINE) phenotypes among moderate-severely injured trauma patients: an exploratory analysis.Semantic proximity Read ↗

Individual clotting factor contributions to mortality following trauma.Semantic proximity Read ↗

Early hemostatic responses to trauma identified with hierarchical clustering analysis.Semantic proximity Read ↗

Injury Severity is a Key Contributor to Coagulation Dysregulation and Fibrinogen ConsumptionSemantic proximity Read ↗

Disseminated intravascular coagulation with a fibrinolytic phenotype at an early phase of trauma predicts mortality.Semantic proximity Read ↗

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