Evidence map›Paper›PMID 22875037›Full record

ArticleMedizinische Klinik, Intensivmedizin und Notfallmedizin2012

Outcome prediction using clinical scores and biomarkers in patients with presumed severe infection in the emergency department.

J Wilhelm, S Hettwer, D Hammer, M Schürmann, A Christoph, M Amoury, T Klöss, R Finke, H Ebelt, K Werdan

Abstract readComparative Study
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In one paragraph

Article in Medizinische Klinik, Intensivmedizin und Notfallmedizin, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

J WilhelmDepartment of Medicine III, University Hospital Halle (Saale), Martin Luther University Halle-Wittenberg, Ernst-Grube-Strasse 40, Halle (Saale), Germany. joachim.wilhelm@uk-halle.de
S Hettwer
D Hammer
M Schürmann
A Christoph
M Amoury
T Klöss
R Finke
H Ebelt
K Werdan

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSevere infections play an important role in the emergency department (ED) and early risk stratification is essential. We compared the prognostic value of APACHE II, SOFA, and MEDS scores, and the biomarkers C-reactive protein (CRP), procalcitonin (PCT), and interleukin 6 (IL-6).

methodsWe performed a prospective observational study. Patients aged 18 years or older with a severe infection, from whom blood cultures were taken, were included.

resultsTwo hundred and eleven patients were included. The 30-day mortality rate was 8.5%. All scores and biomarkers showed significant area under the curve (AUC) values of receiver operating characteristic curve analysis for death within 30 days: 0.801 for APACHE II, 0.785 for MEDS, 0.708 for SOFA, 0.693 for CRP, 0.651 for PCT, and 0.716 for IL-6. For treatment in an ICU and need for mechanical ventilation, these parameters had significant AUC values, too. For renal replacement therapy, only APACHE II, SOFA, and PCT showed significant AUC values. According to the trend observed, the AUC values were highest for the APACHE II score.

conclusionsAll investigated parameters have a predictive value in patients with an infection in the ED. According to the trend observed, the APACHE II score seems to have the best discriminative power. Use of the APACHE II score already at the time of admission to the ED may be useful for stratifying patients at risk for ICU treatment, thereby using the same score in the ED and the ICU.

Indexed as

Emergency Service, HospitalHealth Status IndicatorsAdultAgedAged, 80 and overBiomarkersComorbidityFemaleHumansIntensive Care UnitsMaleMiddle AgedOrgan Dysfunction ScoresPredictive Value of TestsPrognosisRisk AssessmentBiomarkers

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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.