Data · dataset · 2026
Critical care subphenotypes: prospective identification and extension beyond syndromic definitions
Listed in ZivaHub and Deakin Research Online and DMU Figshare — shown once because both records carry DOI 10.17034/33476596.v1
<p dir="ltr">Acute hypoxaemic respiratory failure (AHRF) and the acute respiratory distress syndrome (ARDS) are clinically and biologically heterogeneous, and this heterogeneity has hindered the development of effective pharmacotherapies.
Description
Reproducible inflammatory subphenotypes (the hypoinflammatory and hyperinflammatory subphenotypes) carry prognostic and predictive significance, but they have typically been identified retrospectively using latent class analysis (LCA) and studied only within ARDS, limiting their translation into clinical practice and prospective trials.<br><br>This thesis examines whether inflammatory subphenotypes can be identified in clinically relevant, real-time settings, extended beyond ARDS, characterised across disease severity and over time, and operationalised to inform precision-medicine trial design.
Following a review of the field, its terminology, and the barriers to clinical translation, inflammatory subphenotypes are examined in patients with severe respiratory failure requiring veno-venous extracorporeal membrane oxygenation. The prospective, multicentre PHIND study then evaluates bedside identification of subphenotypes in 30 intensive care units across the United Kingdom and Ireland, using a near-patient immunoanalyser and a parsimonious model (interleukin-6, soluble tumour necrosis factor receptor-1, and bicarbonate) to assign subphenotypes in real time and to test their association with 60-day mortality.
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Subsequent analyses compare prospectively assigned subphenotypes with those derived retrospectively by LCA, characterise their temporal stability over the first days of illness, and evaluate how the recent global definition of ARDS affects patient characteristics, prognostication, and trial eligibility. These observations are then translated into the design of an international, adaptive, phenotype-stratified platform trial for ARDS and AHRF.<br>Overall, the work demonstrates that inflammatory subphenotypes can be identified prospectively at the bedside, are present beyond ARDS, carry differential outcomes, and can be operationalised, thereby providing a foundation for precision-medicine trials in critical care.<br></p>
Links
Where it is published
- DOI doi.org/10.17034/33476596.v1 ↗
DOI / persistent id · from zivahub uct ac za
Catalogue records · 1
- OAI-PMH record api.figshare.com/v2/oai?verb=GetRecord&metadataPrefix=oai_dc&identifier=oai%3Af… ↗
metadata API · from zivahub uct ac za
Topics
- From keywords
- Earth & Environmental Science · Earth & Environmental Science · Earth & Environmental Science · Medicine & Health · Medicine & Health · Medicine & Health
- Inferred from text
- Cancer 65% · Cardiovascular medicine and haematology 70% · Disease 75%
Provenance · 3 source records, 14 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| ZivaHub | oai:figshare.com:article/33476596 | 12 d ago | JSON v1 |
| Deakin Research Online | oai:figshare.com:article/33476596 | 12 d ago | JSON v1 |
| DMU Figshare | oai:figshare.com:article/33476596 | 12 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · zivahub uct ac za | connector:zivahub_uct_ac_za@1.0.0 | |
| concepts[disease].local:disease:cancer | enrichment · zivahub uct ac za | keyword-concept-rules@1.0.0 | title+description (65%) |
| concepts[disease].local:disease:disease | enrichment · zivahub uct ac za | keyword-concept-rules@1.0.0 | title+description (75%) |
| concepts[field].anzsrc:group:3201 | enrichment · zivahub uct ac za | taxonomy-embedding@1.1.0 | title+keywords+description (70%) |
| concepts[field].local:field:earth-environmental | mapping · dro deakin edu au | connector:dro_deakin_edu_au@1.0.0 | |
| concepts[field].local:field:earth-environmental | mapping · zivahub uct ac za | connector:zivahub_uct_ac_za@1.0.0 | |
| concepts[field].local:field:earth-environmental | mapping · figshare dmu ac uk | connector:figshare_dmu_ac_uk@1.0.0 | |
| concepts[field].local:field:medicine-health | mapping · figshare dmu ac uk | connector:figshare_dmu_ac_uk@1.0.0 | |
| concepts[field].local:field:medicine-health | mapping · dro deakin edu au | connector:dro_deakin_edu_au@1.0.0 | |
| concepts[field].local:field:medicine-health | mapping · zivahub uct ac za | connector:zivahub_uct_ac_za@1.0.0 | |
| description | source · zivahub uct ac za | connector:zivahub_uct_ac_za@1.0.0 | /metadata/dc/description |
| license_text | source · zivahub uct ac za | connector:zivahub_uct_ac_za@1.0.0 | |
| publication_date | source · zivahub uct ac za | connector:zivahub_uct_ac_za@1.0.0 | |
| title | source · zivahub uct ac za | connector:zivahub_uct_ac_za@1.0.0 | /metadata/dc/title |