Data · dataset · 2023
Prognostic value of d-dimer across Four Populations of Critically Ill Patients (Pulmonary Embolism, Influenza A pneumonia, COVID-19 and Septic Shock) Dataset
Listed in Teesside University Research Data Repository
In recent years, as a result of the coronavirus disease 2019 (COVID-19) pandemic, d-dimer has gained notoriety for its role as a biomarker of prognosis.
Description
The present study aims to evaluate the performance of d-dimer as a prognostic biomarker across four different disease populations of critically ill patients: COVID-19, Influenza A pneumonia, septic shock and pulmonary embolism. We hypothesize that patients with poorer outcomes will have higher d-dimer levels, thus suggesting that elevated d-dimer is a significant risk factor for 90-day mortality.
This single-center, observational, prospective study enrolled adult critically ill patients admitted to the Intensive Care Unit (ICU) of a tertiary care university hospital in Spain (Hospital Universitari de Bellvitge), between 2000 and 2021, presenting with pulmonary embolism, severe influenza A pneumonia, severe COVID-19 pneumonia or septic shock with bacteriemia. A total of 124 patients were enrolled in this study: 26 patients with pulmonary embolism, 27 patients with influenza A pneumonia, 27 patients with COVID-19 and 44 patients with septic shock.
Read the rest (2 more)
The data presented include general population characteristics, comorbidities, laboratory and gasometrical results, severity parameters, admission, discharge and last follow-up dates and outcome measures. The four groups have in common early ICU admission due to the severity of the disease. This is reflected in high Sequential Organ Failure Assesment (SOFA) scores and important requirements of both vasopressor support and mechanical ventilation during ICU stay.
Additionally, we found remarkably high circulating d-dimer levels across all populations evaluated. These data can be analyzed with univariate, bivariate and multivariate methods.
Links
Where it is published
- DOI doi.org/10.17632/f5f33wb3y3.1 ↗
DOI / persistent id · from researchdata tees ac uk
Catalogue records · 1
- OAI-PMH record data.mendeley.com/oai?verb=GetRecord&metadataPrefix=oai_dc&identifier=oai%3Adata… ↗
metadata API · from researchdata tees ac uk
Topics
- From keywords
- Earth & Environmental Science · Engineering · Medicine & Health · Mortality
- Inferred from text
- Disease 75%
Provenance · 1 source records, 10 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| Teesside University Research Data Repository | oai:data.mendeley.com/f5f33wb3y3.1 | 16 h ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[disease].local:disease:disease | enrichment · researchdata tees ac uk | keyword-concept-rules@1.0.0 | title+description (75%) |
| concepts[field].anzsrc:field:440304 | mapping · researchdata tees ac uk | vocabulary-mapper@1.0.0 | keywords['Mortality'] |
| concepts[field].local:field:earth-environmental | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:engineering | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:medicine-health | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| description | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/description |
| license | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/rights |
| publication_date | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| title | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/title |