Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2023;27(3):176-181.
doi: 10.5114/wo.2023.133352. Epub 2023 Nov 30.

Haemoglobin and C-reactive protein levels are efficient at identifying neoplasms as the most common early mortality of chronic diseases in emergency department patients

Affiliations

Haemoglobin and C-reactive protein levels are efficient at identifying neoplasms as the most common early mortality of chronic diseases in emergency department patients

Wawrzyniec Mantorski et al. Contemp Oncol (Pozn). 2023.

Abstract

Introduction: Extensive research has focused on emergency department (ED) and post-admission deaths, seeking to understand their frequency and causative factors. With the rising prevalence of advanced diseases, it is crucial to identify patients in need of end-of-life care and ensure its high quality. In this epidemiological study, we analyse routine ED blood tests to identify early warning signs of deteriorating patients with common non-traumatic and non-infectious (chronic) conditions.

Material and methods: We conducted a retrospective single-centre study for the years 2016-2019 using medical records and electronic data from the Multi-Specialistic Hospital in Gorzów Wielkopolski, Poland. We examined 8971 unique patients with circulatory, neoplastic, and endocrine diseases. We assessed the impact of 2 grouping variables (survivors and non-survivors) on a continuous outcome variable, including age and 37 routine blood tests.

Results: Two-way analysis of variance revealed that haemoglobin (Hb), haematocrit (Hct), and C-reactive protein (CRP) are the best differentiating biomarkers for early death in ED patients with cardiovascular, oncological, and endocrine diseases (excluding Hct due to its strong correlation with Hb). The Marczewski-Steinhaus taxonomy highlighted that oncological patients had the shortest survival time, averaging just 2 days from admission among ED non-survivors.

Conclusions: Among routinely tested ED biomarkers, Hb and CRP levels are efficient at identifying neoplasms as the most common early mortality of chronic diseases in ED patients.

Keywords: C-reactive protein; chronic disease; early death; emergency department; haemoglobin.

PubMed Disclaimer

Conflict of interest statement

The authors declare no conflict of interest.

Figures

Fig. 1
Fig. 1
Boxplots with significance bars of the two-way ANOVA comparing haemoglobin (A) and C-reactive protein (B) concentration means in status and diagnosis of patients with interaction statistics
Fig. 2
Fig. 2
Classification dendrogram of taxonomical distances based on the logarithmically transformed and scaled variables, i.e. time to death, haemoglobin, and C-reactive protein between the deceased emergency department patients (N = 705)
Fig. 3
Fig. 3
Fractions of diseases (A), populations (B), means of age (C), haemoglobin (D), C-reactive protein (E), and days to die (F) in taxonomical clusters (p < 0.05)

Similar articles

References

    1. Lee SY, Ro YS, Shin SD, Ko E, Kim SJ. Epidemiology of patients who died in the emergency departments and need of end-of-life care in Korea from 2016 to 2019. Sci Rep 2023;13:686. - PMC - PubMed
    1. Elmer J, Mikati N, Arnold RM, Wallace DJ, Callaway CW. Death and end-of-life care in emergency departments in the US. JAMA 2022; 5: e2240399. - PMC - PubMed
    1. Marczewski E, Steinhaus H. On a certain distance of sets and the corresponding distance of functions. Colloq Math 1958; 6: 319-327.
    1. Everitt BS, Landau S, Leese M, Stahl D. Cluster analysis. 5th edition. Wiley Series in Probability and Statistics. Wiley, Chichester; 2011, UK.
    1. Rousseeuw P, Struyf A, Hubert M. Package ‘cluster’. Version 2.1.4. CRAN, Vienna 2022, Austria.
-