Evidence map›Paper›PMID 32724484›Full record

ArticleDisease markers2020

Selected Hematological Biomarkers to Predict Acute Mortality in Emergency Department Patients. Recent Polish Hospital Statistics.

Katarzyna Brzeźniakiewicz-Janus, Marcus Daniel Lancé, Andrzej Tukiendorf, Tomasz Janus, Mirosław Franków, Joanna Rupa-Matysek, Zuzanna Walkowiak, Lidia Gil

Open access · hybridAbstract read
In one paragraph

Article in Disease markers, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.4field-weighted citation impact, top 36% 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

4 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
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  4. Observational
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

8 authors at 5 institutions in 2 countries.

Katarzyna Brzeźniakiewicz-JanusDepartment of Hematology, Multi-Specialist Hospital Gorzów Wielkopolski, Faculty of Medicine and Health Science, University of Zielona Góra, Gorzów Wielkopolski, Poland.ORCID https://orcid.org/0000-0002-4143-5778
Marcus Daniel LancéDepartment of Anesthesiology, Intensive Care Unit and Perioperative Medicine, Hamad Medical Corporation, Doha, Qatar.ORCID https://orcid.org/0000-0001-8558-0531
Andrzej TukiendorfDepartment of Public Health, Wrocław Medical University, Wrocław, Poland.ORCID https://orcid.org/0000-0001-5278-989X
Tomasz JanusDepartment of Forensic and Clinical Toxicology, Pomeranian Medical University in Szczecin, Szczecin, Poland.ORCID https://orcid.org/0000-0002-2363-2196
Mirosław FrankówDepartment of Hematology, Multi-Specialist Hospital Gorzów Wielkopolski, Faculty of Medicine and Health Science, University of Zielona Góra, Gorzów Wielkopolski, Poland.ORCID https://orcid.org/0000-0003-1157-3149
Joanna Rupa-MatysekDepartment of Hematology and Bone Marrow Transplantation, Poznań University of Medical Sciences, Poznań, Poland.ORCID https://orcid.org/0000-0003-1585-6410
Zuzanna WalkowiakDepartment of Hematology, Multi-Specialist Hospital Gorzów Wielkopolski, Faculty of Medicine and Health Science, University of Zielona Góra, Gorzów Wielkopolski, Poland.ORCID https://orcid.org/0000-0003-4509-4920
Lidia GilDepartment of Hematology and Bone Marrow Transplantation, Poznań University of Medical Sciences, Poznań, Poland.ORCID https://orcid.org/0000-0003-0700-3637
University of Zielona Góra · PLPoznan University of Medical Sciences · PLHamad Medical Corporation · QAPomeranian Medical University · PLWroclaw Medical University · PL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundComplete blood count (CBC), red cell distribution width (RDW), mean platelet volume (MPV), mean corpuscular volume (MCV), mean cell hemoglobin (MCH), mean cell hemoglobin concentration (MCHC), or platelet (PLT) count are referred as predictors of adverse clinical outcomes in patients. The aim of the research was to identify potential factors of acute mortality in Polish emergency department (ED) patients by using selected hematological biomarkers and routine statistical tools.

methodsThe study presents statistical results on patients who were recently discharged from inpatient facilities within one month prior to the index ED visit. In total, the analysis comprised 14,881 patients with the first RDW, MPV, MCV, MCH, MCHC, or PLT biomarkers' measurements recorded in the emergency department within the years 2016-2019 with a subsequent one month of all-cause mortality observation. The patients were classified with the codes of the International Statistical Classification of Diseases and Related Health Problems after 10

resultsBased on the analysis of RDW, MPV, MCV, MCH, MCHC, and PLT on acute deaths in patients, we establish strong linear and quadratic relationships between the risk factors under study and the clinical response (

conclusionThe study shows that there are likely relationships between blood counts and expected patient mortality at some time interval from measurements. Up to 1 month of observation since the first measurement of an hematological biomarker, RDW and MPV stand for a strong relationship with acute mortality of patients, whereas MCV, MCH, MCHC, and PLT give the U-shaped association, RDW and MPV can be established as the stronger predictors of early deaths of patients, MCV only in the highest levels (>95 fL), whereas MCH, MCHC, and PLT have no impact on the excess acute mortality in ED patients.

Indexed as

Hospital MortalityBiomarkersBlood Cell CountEmergency Service, HospitalErythrocyte IndicesHumansInternational Classification of DiseasesMean Platelet VolumePlatelet CountPolandRetrospective StudiesBiomarkers

Identifiers

PMID32724484
PMCPMC7381964
OpenAlexW3043498104

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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.