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The early identification of disease progression in patients with suspected infection presenting to the emergency department: a multi-centre derivation and validation study.
- Source :
-
Critical care (London, England) [Crit Care] 2019 Feb 08; Vol. 23 (1), pp. 40. Date of Electronic Publication: 2019 Feb 08. - Publication Year :
- 2019
-
Abstract
- Background: There is a lack of validated tools to assess potential disease progression and hospitalisation decisions in patients presenting to the emergency department (ED) with a suspected infection. This study aimed to identify suitable blood biomarkers (MR-proADM, PCT, lactate and CRP) or clinical scores (SIRS, SOFA, qSOFA, NEWS and CRB-65) to fulfil this unmet clinical need.<br />Methods: An observational derivation patient cohort validated by an independent secondary analysis across nine EDs. Logistic and Cox regression, area under the receiver operating characteristic (AUROC) and Kaplan-Meier curves were used to assess performance. Disease progression was identified using a composite endpoint of 28-day mortality, ICU admission and hospitalisation > 10 days.<br />Results: One thousand one hundred seventy-five derivation and 896 validation patients were analysed with respective 28-day mortality rates of 7.1% and 5.0%, and hospitalisation rates of 77.9% and 76.2%. MR-proADM showed greatest accuracy in predicting 28-day mortality and hospitalisation requirement across both cohorts. Patient subgroups with high MR-proADM concentrations (≥ 1.54 nmol/L) and low biomarker (PCT < 0.25 ng/mL, lactate < 2.0 mmol/L or CRP < 67 mg/L) or clinical score (SOFA < 2 points, qSOFA < 2 points, NEWS < 4 points or CRB-65 < 2 points) values were characterised by a significantly longer length of hospitalisation (p < 0.001), rate of ICU admission (p < 0.001), elevated mortality risk (e.g. SOFA, qSOFA and NEWS HR [95%CI], 45.5 [10.0-207.6], 23.4 [11.1-49.3] and 32.6 [9.4-113.6], respectively) and a greater number of disease progression events (p < 0.001), compared to similar subgroups with low MR-proADM concentrations (< 1.54 nmol/L). Increased out-patient treatment across both cohorts could be facilitated using a derivation-derived MR-proADM cut-off of < 0.87 nmol/L (15.0% and 16.6%), with decreased readmission rates and no mortalities.<br />Conclusions: In patients presenting to the ED with a suspected infection, the blood biomarker MR-proADM could most accurately identify the likelihood of further disease progression. Incorporation into an early sepsis management protocol may therefore aid rapid decision-making in order to either initiate, escalate or intensify early treatment strategies, or identify patients suitable for safe out-patient treatment.
- Subjects :
- Adolescent
Adrenomedullin analysis
Adrenomedullin blood
Adult
Aged
Aged, 80 and over
Area Under Curve
Biomarkers blood
C-Reactive Protein analysis
Disease Progression
Emergency Service, Hospital organization & administration
Emergency Service, Hospital statistics & numerical data
England
Female
France
Humans
Italy
Lactic Acid analysis
Lactic Acid blood
Logistic Models
Male
Middle Aged
Organ Dysfunction Scores
Peptide Fragments analysis
Peptide Fragments blood
Proportional Hazards Models
Protein Precursors analysis
Protein Precursors blood
Spain
Statistics, Nonparametric
Sweden
Switzerland
Validation Studies as Topic
Biomarkers analysis
Early Diagnosis
Infections diagnosis
Subjects
Details
- Language :
- English
- ISSN :
- 1466-609X
- Volume :
- 23
- Issue :
- 1
- Database :
- MEDLINE
- Journal :
- Critical care (London, England)
- Publication Type :
- Academic Journal
- Accession number :
- 30736862
- Full Text :
- https://doi.org/10.1186/s13054-019-2329-5