Evidence map›Paper›PMID 33891337›Full record

ArticleInternational journal of clinical practice2021

Predictive value of D-dimer/albumin ratio and fibrinogen/albumin ratio for in-hospital mortality in patients with COVID-19.

Kadir Küçükceran, Mustafa Kürşat Ayranci, Abdullah Sadık Girişgin, Sedat Koçak

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Article in International journal of clinical practice, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
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23citing papers in PubMed, 1 pooled it
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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

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3 · Its place in the literature

Who cites it

23 citing papers in PubMed, 1 synthesis or guideline pooled it.

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4 · The record

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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

4 authors.

Kadir KüçükceranEmergency Department, Meram School of Medicine, Necmettin Erbakan University, Konya, Turkey.ORCID https://orcid.org/0000-0001-9758-0803
Mustafa Kürşat AyranciEmergency Department, Meram School of Medicine, Necmettin Erbakan University, Konya, Turkey.
Abdullah Sadık GirişginEmergency Department, Meram School of Medicine, Necmettin Erbakan University, Konya, Turkey.
Sedat KoçakEmergency Department, Meram School of Medicine, Necmettin Erbakan University, Konya, Turkey.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionDue to the high mortality of coronavirus disease 2019 (COVID-19), there are difficulties in the managing emergency department. We investigated whether the D-dimer/albumin ratio (DAR) and fibrinogen/albumin ratio (FAR) predict mortality in the COVID-19 patients.

methodsA total of 717 COVID-19 patients who were brought to the emergency department from March to October 2020 were included in the study. Levels of D-dimer, fibrinogen and albumin, as well as DAR, FAR, age, gender and in-hospital mortality status of the patients, were recorded. The patients were grouped by in-hospital mortality. Statistical comparison was conducted between the groups.

resultsOf the patients included in the study, 371 (51.7%) were male, and their median age was 64 years (50-74). There was in-hospital mortality in 126 (17.6%) patients. The area under the curve (AUC) and odds ratio values obtained by DAR to predict in-hospital mortality were higher than the values obtained by the all other parameters (AUC of DAR, albumin, D-dimer, FAR and fibrinogen: 0.773, 0.766, 0.757, 0.703 and 0.637, respectively; odds ratio of DAR > 56.36, albumin < 4.015, D-dimer > 292.5, FAR > 112.33 and fibrinogen > 423:7.898, 6.216, 6.058, 4.437 and 2.794, respectively). In addition; patients with concurrent DAR > 56.36 and FAR > 112.33 had an odds ratio of 21.879 with respect to patients with concurrent DAR < 56.36 and FAR < 112.33.

conclusionDAR may be used as a new marker to predict mortality in COVID-19 patients. In addition, the concurrent high DARs and FARs were found to be more valuable in predicting in-hospital mortality than either separately.

Indexed as

COVID-19FibrinogenAlbuminsBiomarkersFibrin Fibrinogen Degradation ProductsHospital MortalityHumansMaleMiddle AgedRetrospective StudiesSARS-CoV-2AlbuminsBiomarkersFibrin Fibrinogen Degradation Productsfibrin fragment DFibrinogen

Identifiers

PMID33891337
PMCPMC8250115

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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.