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

Joint Authors

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

Source

Disease Markers

Issue

Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-10, 10 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2020-07-16

Country of Publication

Egypt

No. of Pages

10

Main Subjects

Diseases

Abstract EN

Background.

Complete 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.

Methods.

The 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 10th Revision (ICD10).

Results.

Based 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 (P<0.05), however, with different mortality courses and threats.

In our statistical analysis, (1) gradient linear relationships were found for RDW and MPV along an entire range of the analyzed biomarkers’ measurements, (2) following the quadratic modeling, an increasing risk of death above 95 fL was determined for MCV, and (3) no relation to excess death in ED patients was calculated for MCH, MCHC, and PLT.

Conclusion.

The 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.

American Psychological Association (APA)

Brzeźniakiewicz-Janus, Katarzyna& Lancé, Marcus Daniel& Tukiendorf, Andrzej& Janus, Tomasz& Franków, Mirosław& Rupa-Matysek, Joanna…[et al.]. 2020. Selected Hematological Biomarkers to Predict Acute Mortality in Emergency Department Patients. Recent Polish Hospital Statistics. Disease Markers،Vol. 2020, no. 2020, pp.1-10.
https://search.emarefa.net/detail/BIM-1154159

Modern Language Association (MLA)

Brzeźniakiewicz-Janus, Katarzyna…[et al.]. Selected Hematological Biomarkers to Predict Acute Mortality in Emergency Department Patients. Recent Polish Hospital Statistics. Disease Markers No. 2020 (2020), pp.1-10.
https://search.emarefa.net/detail/BIM-1154159

American Medical Association (AMA)

Brzeźniakiewicz-Janus, Katarzyna& Lancé, Marcus Daniel& Tukiendorf, Andrzej& Janus, Tomasz& Franków, Mirosław& Rupa-Matysek, Joanna…[et al.]. Selected Hematological Biomarkers to Predict Acute Mortality in Emergency Department Patients. Recent Polish Hospital Statistics. Disease Markers. 2020. Vol. 2020, no. 2020, pp.1-10.
https://search.emarefa.net/detail/BIM-1154159

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1154159