Evidence map›Paper›PMID 30736862›Full record

Observational studyCritical care (London, England)2019

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

Kordo Saeed, Darius Cameron Wilson, Frank Bloos, Philipp Schuetz, Yuri van der Does, Olle Melander, Pierre Hausfater, Jacopo M Legramante, Yann-Erick Claessens, Deveendra Amin and 19 more

Erratum issued Registry-linked trialAbstract readMulticenter StudyObservational Study
In one paragraph

Observational study in Critical care (London, England), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. It is linked to trial NCT03992794 (ADAPTED), which is not on this map. Cited by 55 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
55citing papers in PubMed, 2 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT03992794 completednot on this map

ADAPTED: Assessment of Disease Severity, Progression and Treatment in Infected Patients Presenting to the Emergency Department

Typeobservational_patient_registrySponsorJuan González-del CastilloRan2018 to 2018Enrolled684ConditionsSepsisArmsMeasurement of MR-proADM
3 · Its place in the literature

Who cites it

55 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

29 authors.

Kordo SaeedDepartment of Microbiology, Hampshire Hospitals NHS Foundation Trust, Winchester and Basingstoke, UK. kordosaeed@nhs.net.
Darius Cameron WilsonB·R·A·H·M·S GmbH, Hennigsdorf, Germany.
Frank BloosDepartment of Anesthesiology and Intensive Care Medicine, Jena University Hospital, Jena, Germany.
Philipp SchuetzDivision of General and Emergency Medicine, University Department of Medicine, Kantonsspital Aarau, Switzerland.
Yuri van der DoesDepartment of Emergency Medicine, Erasmus University Medical Center, Rotterdam, Netherlands.
Olle MelanderDepartment of Internal Medicine, Skåne University Hospital, Malmö, Sweden.
Pierre HausfaterEmergency Department hôpital Pitié-Salpêtrière, Assistance Publique - Hôpitaux de Paris and Sorbonne Universités GRC-14 BIOSFAST and INSERM UMR-S 1166, Paris, France.
Jacopo M LegramanteEmergency Department, Policlinico Tor Vergata, Rome, Italy.
Yann-Erick ClaessensDepartment of Emergency Medicine, Monaco Princess Grace Hospital, Monaco, France.
Deveendra AminDepartment of Critical Care, Morton Plant Hospital, 300 Pinellas Street, Clearwater, FL, 33756, USA.
Mari RosenqvistDepartment of Clinical Sciences Malmö, Lund University, Lund, Sweden.
Graham WhiteDepartment of Blood Sciences, Hampshire Hospitals NHS Foundation Trust, Winchester and Basingstoke, UK.
Beat MuellerDivision of General and Emergency Medicine, University Department of Medicine, Kantonsspital Aarau, Switzerland.
Maarten LimperDepartment of Rheumatology and Clinical Immunology, University Medical Center, Utrecht University, Utrecht, Netherlands.
Carlota Clemente CallejoEmergency Department, Hospital Clínico San Carlos, Madrid, Spain.
Antonella BrandiEmergency Department, Policlinico Tor Vergata, Rome, Italy.
Marc-Alexis MacchiDepartment of Emergency Medicine, Monaco Princess Grace Hospital, Monaco, France.
Nicholas CortesDepartment of Microbiology, Hampshire Hospitals NHS Foundation Trust, Winchester and Basingstoke, UK.
Alexander KutzDivision of General and Emergency Medicine, University Department of Medicine, Kantonsspital Aarau, Switzerland.
Peter PatkaDepartment of Emergency Medicine, Erasmus University Medical Center, Rotterdam, Netherlands.
María Cecilia YañezEmergency Department, Hospital Clínico San Carlos, Madrid, Spain.
Sergio BernardiniDepartment of Laboratory Medicine, Policlinico Tor Vergata, Rome, Italy.
Nathalie BeauDepartment of Emergency Medicine, Monaco Princess Grace Hospital, Monaco, France.
Matthew DrydenDepartment of Microbiology, Hampshire Hospitals NHS Foundation Trust, Winchester and Basingstoke, UK.
Eric C M van GorpDepartment of Internal Medicine, Erasmus University Medical Center, Rotterdam, Netherlands.
Marilena MinieriDepartment of Laboratory Medicine, Policlinico Tor Vergata, Rome, Italy.
Louisa ChanDepartment of accident and emergency, Hampshire Hospitals NHS Foundation Trust, Winchester and Basingstoke, UK.
Pleunie P M RoodDepartment of Emergency Medicine, Erasmus University Medical Center, Rotterdam, Netherlands.
Juan Gonzalez Del CastilloEmergency Department, Instituto de Investigación Sanitaria (IdISSC), Hospital Clínico San Carlos, Madrid, Spain.

Funding

Thermo Fisher (Germany) N/A
6 · The paper itself

Abstract

backgroundThere 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.

methodsAn 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.

resultsOne 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.

conclusionsIn 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.

Indexed as

Early DiagnosisAdolescentAdrenomedullinAdultAgedAged, 80 and overArea Under CurveBiomarkersC-Reactive ProteinDisease ProgressionEmergency Service, HospitalEnglandFemaleFranceHumansInfectionsAdrenomedullinBiomarkersC-Reactive ProteinLactic Acidmid-regional pro-adrenomedullin, humanPeptide FragmentsProtein PrecursorsDisease progressionEmergency departmentMR-proADMqSOFASepsisSOFA

Identifiers

PMID30736862
PMCPMC6368690

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Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.