The early identification of disease progression in patients with suspected infection presenting to the emergency department: a multi-centre derivation and validation study.


Journal

Critical care (London, England)
ISSN: 1466-609X
Titre abrégé: Crit Care
Pays: England
ID NLM: 9801902

Informations de publication

Date de publication:
08 Feb 2019
Historique:
received: 20 07 2018
accepted: 18 01 2019
entrez: 10 2 2019
pubmed: 10 2 2019
medline: 1 10 2019
Statut: epublish

Résumé

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. 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. 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. 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.

Sections du résumé

BACKGROUND 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.
METHODS 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.
RESULTS 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.
CONCLUSIONS 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.

Identifiants

pubmed: 30736862
doi: 10.1186/s13054-019-2329-5
pii: 10.1186/s13054-019-2329-5
pmc: PMC6368690
doi:

Substances chimiques

Biomarkers 0
Peptide Fragments 0
Protein Precursors 0
mid-regional pro-adrenomedullin, human 0
Adrenomedullin 148498-78-6
Lactic Acid 33X04XA5AT
C-Reactive Protein 9007-41-4

Types de publication

Journal Article Multicenter Study Observational Study

Langues

eng

Sous-ensembles de citation

IM

Pagination

40

Subventions

Organisme : Thermo Fisher (Germany)
ID : N/A

Commentaires et corrections

Type : CommentIn
Type : ErratumIn

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Auteurs

Kordo Saeed (K)

Department of Microbiology, Hampshire Hospitals NHS Foundation Trust, Winchester and Basingstoke, UK. kordosaeed@nhs.net.
University of Southampton, School of Medicine, Southampton, UK. kordosaeed@nhs.net.

Darius Cameron Wilson (DC)

B·R·A·H·M·S GmbH, Hennigsdorf, Germany.

Frank Bloos (F)

Department of Anesthesiology and Intensive Care Medicine, Jena University Hospital, Jena, Germany.
Center for Sepsis Control & Care (CSCC), Jena University Hospital, Jena, Germany.

Philipp Schuetz (P)

Division of General and Emergency Medicine, University Department of Medicine, Kantonsspital Aarau, Switzerland.
Medical Faculty of the University of Basel, Basel, Switzerland.

Yuri van der Does (Y)

Department of Emergency Medicine, Erasmus University Medical Center, Rotterdam, Netherlands.

Olle Melander (O)

Department of Internal Medicine, Skåne University Hospital, Malmö, Sweden.
Department of Clinical Sciences Malmö, Lund University, Lund, Sweden.

Pierre Hausfater (P)

Emergency Department hôpital Pitié-Salpêtrière, Assistance Publique - Hôpitaux de Paris and Sorbonne Universités GRC-14 BIOSFAST and INSERM UMR-S 1166, Paris, France.

Jacopo M Legramante (JM)

Emergency Department, Policlinico Tor Vergata, Rome, Italy.
Department of Medical Systems, Universita di Tor Vergata, Rome, Italy.

Yann-Erick Claessens (YE)

Department of Emergency Medicine, Monaco Princess Grace Hospital, Monaco, France.

Deveendra Amin (D)

Department of Critical Care, Morton Plant Hospital, 300 Pinellas Street, Clearwater, FL, 33756, USA.

Mari Rosenqvist (M)

Department of Clinical Sciences Malmö, Lund University, Lund, Sweden.
Infectious Disease Unit, Skåne University Hospital, Malmö, Sweden.

Graham White (G)

Department of Blood Sciences, Hampshire Hospitals NHS Foundation Trust, Winchester and Basingstoke, UK.

Beat Mueller (B)

Division of General and Emergency Medicine, University Department of Medicine, Kantonsspital Aarau, Switzerland.
Medical Faculty of the University of Basel, Basel, Switzerland.

Maarten Limper (M)

Department of Rheumatology and Clinical Immunology, University Medical Center, Utrecht University, Utrecht, Netherlands.

Carlota Clemente Callejo (CC)

Emergency Department, Hospital Clínico San Carlos, Madrid, Spain.

Antonella Brandi (A)

Emergency Department, Policlinico Tor Vergata, Rome, Italy.

Marc-Alexis Macchi (MA)

Department of Emergency Medicine, Monaco Princess Grace Hospital, Monaco, France.

Nicholas Cortes (N)

Department of Microbiology, Hampshire Hospitals NHS Foundation Trust, Winchester and Basingstoke, UK.
University of Southampton, School of Medicine, Southampton, UK.
Gibraltar Health Authority, St Bernard's Hospital, Gibraltar, Spain.

Alexander Kutz (A)

Division of General and Emergency Medicine, University Department of Medicine, Kantonsspital Aarau, Switzerland.

Peter Patka (P)

Department of Emergency Medicine, Erasmus University Medical Center, Rotterdam, Netherlands.

María Cecilia Yañez (MC)

Emergency Department, Hospital Clínico San Carlos, Madrid, Spain.

Sergio Bernardini (S)

Department of Laboratory Medicine, Policlinico Tor Vergata, Rome, Italy.
Department of Experimental Medicine, University of Rome Tor Vergata, Rome, Italy.

Nathalie Beau (N)

Department of Emergency Medicine, Monaco Princess Grace Hospital, Monaco, France.

Matthew Dryden (M)

Department of Microbiology, Hampshire Hospitals NHS Foundation Trust, Winchester and Basingstoke, UK.
University of Southampton, School of Medicine, Southampton, UK.
Rare and Imported Pathogen Laboratories, Public Health England, Porton Down, UK.

Eric C M van Gorp (ECM)

Department of Internal Medicine, Erasmus University Medical Center, Rotterdam, Netherlands.
Department of Viroscience, Erasmus University Medical Center, Rotterdam, Netherlands.

Marilena Minieri (M)

Department of Laboratory Medicine, Policlinico Tor Vergata, Rome, Italy.

Louisa Chan (L)

Department of accident and emergency, Hampshire Hospitals NHS Foundation Trust, Winchester and Basingstoke, UK.

Pleunie P M Rood (PPM)

Department of Emergency Medicine, Erasmus University Medical Center, Rotterdam, Netherlands.

Juan Gonzalez Del Castillo (JG)

Emergency Department, Instituto de Investigación Sanitaria (IdISSC), Hospital Clínico San Carlos, Madrid, Spain.

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