Evidence map›Paper›PMID 35091652›Full record

Observational studyScientific reports2022

Age-adjusted interpretation of biomarkers of renal function and homeostasis, inflammation, and circulation in Emergency Department patients.

Bart G J Candel, Jamèl Khoudja, Menno I Gaakeer, Ewoud Ter Avest, Özcan Sir, Heleen Lameijer, Roger A P A Hessels, Resi Reijnen, Erik van Zwet, Evert de Jonge and 1 more

Open access · goldAbstract readMulticenter StudyObservational Study
In one paragraph

Observational study in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 99% of its field
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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

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

11 authors at 8 institutions in 1 country.

Bart G J CandelDepartment of Emergency Medicine, Leiden University Medical Center, Albinusdreef 2, 2300 RC, Leiden, The Netherlands. bart.candel@mmc.nl.
Jamèl KhoudjaDepartment of Emergency Medicine, Leiden University Medical Center, Albinusdreef 2, 2300 RC, Leiden, The Netherlands.
Menno I GaakeerDepartment of Emergency Medicine, Admiraal de Ruyter Hospital, 's-Gravenpolderseweg 114, 4462 RA, Goes, The Netherlands.
Ewoud Ter AvestDepartment of Emergency Medicine, University Medical Center Groningen, Hanzeplein1, 9713 GZ, Groningen, The Netherlands.
Özcan SirDepartment of Emergency Medicine, Radboud University Medical Center, Houtlaan 4, 6525 XZ, Nijmegen, The Netherlands.
Heleen LameijerDepartment of Emergency Medicine, Medical Center Leeuwarden, Henri Dunantweg 2, 8934 AD, Leeuwarden, The Netherlands.
Roger A P A HesselsDepartment of Emergency Medicine, Elisabeth-TweeSteden Hospital, Doctor Deelenlaan 5, 5042 AD, Tilburg, The Netherlands.
Resi ReijnenDepartment of Emergency Medicine, Haaglanden Medical Center, Lijnbaan 32, 2512 VA, The Hague, The Netherlands.
Erik van ZwetDepartment of Biostatistics, Leiden University Medical Center, Albinusdreef 2, 2300 RC, Leiden, The Netherlands.
Evert de JongeDepartment of Intensive Care Medicine, Leiden University Medical Center, Albinusdreef 2, 2300 RC, Leiden, The Netherlands.
Bas de GrootDepartment of Emergency Medicine, Leiden University Medical Center, Albinusdreef 2, 2300 RC, Leiden, The Netherlands.
Leiden University Medical Center · NLAdmiraal De Ruyter Ziekenhuis · NLElisabeth-TweeSteden Ziekenhuis · NLMáxima Medisch Centrum · NLMedisch Centrum Haaglanden · NLMedisch Centrum Leeuwarden · NLRadboud University Nijmegen · NLUniversity Medical Center Groningen · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Appropriate interpretation of blood tests is important for risk stratification and guidelines used in the Emergency Department (ED) (such as SIRS or CURB-65). The impact of abnormal blood test values on mortality may change with increasing age due to (patho)-physiologic changes. The aim of this study was therefore to assess the effect of age on the case-mix adjusted association between biomarkers of renal function and homeostasis, inflammation and circulation and in-hospital mortality. This observational multi-center cohort study has used the Netherlands Emergency department Evaluation Database (NEED), including all consecutive ED patients ≥ 18 years of three hospitals. A generalized additive logistic regression model was used to visualize the association between in-hospital mortality, age and five blood tests (creatinine, sodium, leukocytes, C-reactive Protein, and hemoglobin). Multivariable logistic regression analyses were used to assess the association between the number of abnormal blood test values and mortality per age category (18-50; 51-65; 66-80; > 80 years). Of the 94,974 included patients, 2550 (2.7%) patients died in-hospital. Mortality increased gradually for C-reactive Protein (CRP), and had a U-shaped association for creatinine, sodium, leukocytes, and hemoglobin. Age significantly affected the associations of all studied blood tests except in leukocytes. In addition, with increasing age categories, case-mix adjusted mortality increased with the number of abnormal blood tests. In summary, the association between blood tests and (adjusted) mortality depends on age. Mortality increases gradually or in a U-shaped manner with increasing blood test values. Age-adjusted numerical scores may improve risk stratification. Our results have implications for interpretation of blood tests and their use in risk stratification tools and acute care guidelines.Trial registration number Netherlands Trial Register (NTR) NL8422, 03/2020.

Indexed as

BiomarkersEmergency Service, HospitalHomeostasisHospital MortalityInflammationAdolescentAdultAgedAged, 80 and overAge FactorsCohort StudiesC-Reactive ProteinFemaleHumansKidneyMaleBiomarkersC-Reactive Protein

Identifiers

PMID35091652
PMCPMC8799641
OpenAlexW4210368796

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.