Cargando…

D-dimer as a biomarker for assessment of COVID-19 prognosis: D-dimer levels on admission and its role in predicting disease outcome in hospitalized patients with COVID-19

INTRODUCTION: Coronavirus Disease 2019 is a primarily respiratory illness that can cause thrombotic disorders. Elevation of D-dimer is a potential biomarker for poor prognosis in COVID-19, though optimal cutoff value for D-dimer to predict mortality has not yet been established. This study aims to a...

Descripción completa

Detalles Bibliográficos
Autores principales: Poudel, Ayusha, Poudel, Yashasa, Adhikari, Anurag, Aryal, Barun Babu, Dangol, Debika, Bajracharya, Tamanna, Maharjan, Anil, Gautam, Rakshya
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8389366/
https://www.ncbi.nlm.nih.gov/pubmed/34437642
http://dx.doi.org/10.1371/journal.pone.0256744
_version_ 1783742843688321024
author Poudel, Ayusha
Poudel, Yashasa
Adhikari, Anurag
Aryal, Barun Babu
Dangol, Debika
Bajracharya, Tamanna
Maharjan, Anil
Gautam, Rakshya
author_facet Poudel, Ayusha
Poudel, Yashasa
Adhikari, Anurag
Aryal, Barun Babu
Dangol, Debika
Bajracharya, Tamanna
Maharjan, Anil
Gautam, Rakshya
author_sort Poudel, Ayusha
collection PubMed
description INTRODUCTION: Coronavirus Disease 2019 is a primarily respiratory illness that can cause thrombotic disorders. Elevation of D-dimer is a potential biomarker for poor prognosis in COVID-19, though optimal cutoff value for D-dimer to predict mortality has not yet been established. This study aims to assess the accuracy of admission D-dimer in the prognosis of COVID-19 and to establish the optimal cutoff D-dimer value to predict hospital mortality. METHODS: Clinical and laboratory parameters and outcomes of confirmed COVID-19 cases admitted to four hospitals in Kathmandu were retrospectively analyzed. Admitted COVID-19 cases with recorded D-dimer and definitive outcomes were included consecutively. D-dimer was measured using immunofluorescence assay and reported in Fibrinogen Equivalent Unit (μg/ml). The receiver operating characteristic curve was used to determine the accuracy of D-dimer in predicting mortality, and to calculate the optimal cutoff value, based on which patients were divided into two groups and predictive value of D-dimer for mortality was measured. RESULTS: 182 patients were included in the study out of which 34(18.7%) died during the hospital stay. The mean admission D-dimer among surviving patients was 1.067 μg/ml (±1.705 μg/ml), whereas that among patients who died was 3.208 μg/ml (±2.613 μg/ml). ROC curve for D-dimer and mortality gave an area under the curve of 0.807 (95% CI 0.728–0.886, p<0.001). Optimal cutoff value for D-dimer was 1.5 μg/ml (sensitivity 70.6%, specificity 78.4%). On Cox proportional hazards regression analysis, the unadjusted hazard ratio for high D-dimer was 6.809 (95% CI 3.249–14.268, p<0.001), and 5.862 (95% CI 2.751–12.489, p<0.001) when adjusted for age. CONCLUSION: D-dimer value on admission is an accurate biomarker for predicting mortality in patients with COVID-19. 1.5 μg/ml is the optimal cutoff value of admission D-dimer for predicting mortality in COVID-19 patients.
format Online
Article
Text
id pubmed-8389366
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher Public Library of Science
record_format MEDLINE/PubMed
spelling pubmed-83893662021-08-27 D-dimer as a biomarker for assessment of COVID-19 prognosis: D-dimer levels on admission and its role in predicting disease outcome in hospitalized patients with COVID-19 Poudel, Ayusha Poudel, Yashasa Adhikari, Anurag Aryal, Barun Babu Dangol, Debika Bajracharya, Tamanna Maharjan, Anil Gautam, Rakshya PLoS One Research Article INTRODUCTION: Coronavirus Disease 2019 is a primarily respiratory illness that can cause thrombotic disorders. Elevation of D-dimer is a potential biomarker for poor prognosis in COVID-19, though optimal cutoff value for D-dimer to predict mortality has not yet been established. This study aims to assess the accuracy of admission D-dimer in the prognosis of COVID-19 and to establish the optimal cutoff D-dimer value to predict hospital mortality. METHODS: Clinical and laboratory parameters and outcomes of confirmed COVID-19 cases admitted to four hospitals in Kathmandu were retrospectively analyzed. Admitted COVID-19 cases with recorded D-dimer and definitive outcomes were included consecutively. D-dimer was measured using immunofluorescence assay and reported in Fibrinogen Equivalent Unit (μg/ml). The receiver operating characteristic curve was used to determine the accuracy of D-dimer in predicting mortality, and to calculate the optimal cutoff value, based on which patients were divided into two groups and predictive value of D-dimer for mortality was measured. RESULTS: 182 patients were included in the study out of which 34(18.7%) died during the hospital stay. The mean admission D-dimer among surviving patients was 1.067 μg/ml (±1.705 μg/ml), whereas that among patients who died was 3.208 μg/ml (±2.613 μg/ml). ROC curve for D-dimer and mortality gave an area under the curve of 0.807 (95% CI 0.728–0.886, p<0.001). Optimal cutoff value for D-dimer was 1.5 μg/ml (sensitivity 70.6%, specificity 78.4%). On Cox proportional hazards regression analysis, the unadjusted hazard ratio for high D-dimer was 6.809 (95% CI 3.249–14.268, p<0.001), and 5.862 (95% CI 2.751–12.489, p<0.001) when adjusted for age. CONCLUSION: D-dimer value on admission is an accurate biomarker for predicting mortality in patients with COVID-19. 1.5 μg/ml is the optimal cutoff value of admission D-dimer for predicting mortality in COVID-19 patients. Public Library of Science 2021-08-26 /pmc/articles/PMC8389366/ /pubmed/34437642 http://dx.doi.org/10.1371/journal.pone.0256744 Text en © 2021 Poudel et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Poudel, Ayusha
Poudel, Yashasa
Adhikari, Anurag
Aryal, Barun Babu
Dangol, Debika
Bajracharya, Tamanna
Maharjan, Anil
Gautam, Rakshya
D-dimer as a biomarker for assessment of COVID-19 prognosis: D-dimer levels on admission and its role in predicting disease outcome in hospitalized patients with COVID-19
title D-dimer as a biomarker for assessment of COVID-19 prognosis: D-dimer levels on admission and its role in predicting disease outcome in hospitalized patients with COVID-19
title_full D-dimer as a biomarker for assessment of COVID-19 prognosis: D-dimer levels on admission and its role in predicting disease outcome in hospitalized patients with COVID-19
title_fullStr D-dimer as a biomarker for assessment of COVID-19 prognosis: D-dimer levels on admission and its role in predicting disease outcome in hospitalized patients with COVID-19
title_full_unstemmed D-dimer as a biomarker for assessment of COVID-19 prognosis: D-dimer levels on admission and its role in predicting disease outcome in hospitalized patients with COVID-19
title_short D-dimer as a biomarker for assessment of COVID-19 prognosis: D-dimer levels on admission and its role in predicting disease outcome in hospitalized patients with COVID-19
title_sort d-dimer as a biomarker for assessment of covid-19 prognosis: d-dimer levels on admission and its role in predicting disease outcome in hospitalized patients with covid-19
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8389366/
https://www.ncbi.nlm.nih.gov/pubmed/34437642
http://dx.doi.org/10.1371/journal.pone.0256744
work_keys_str_mv AT poudelayusha ddimerasabiomarkerforassessmentofcovid19prognosisddimerlevelsonadmissionanditsroleinpredictingdiseaseoutcomeinhospitalizedpatientswithcovid19
AT poudelyashasa ddimerasabiomarkerforassessmentofcovid19prognosisddimerlevelsonadmissionanditsroleinpredictingdiseaseoutcomeinhospitalizedpatientswithcovid19
AT adhikarianurag ddimerasabiomarkerforassessmentofcovid19prognosisddimerlevelsonadmissionanditsroleinpredictingdiseaseoutcomeinhospitalizedpatientswithcovid19
AT aryalbarunbabu ddimerasabiomarkerforassessmentofcovid19prognosisddimerlevelsonadmissionanditsroleinpredictingdiseaseoutcomeinhospitalizedpatientswithcovid19
AT dangoldebika ddimerasabiomarkerforassessmentofcovid19prognosisddimerlevelsonadmissionanditsroleinpredictingdiseaseoutcomeinhospitalizedpatientswithcovid19
AT bajracharyatamanna ddimerasabiomarkerforassessmentofcovid19prognosisddimerlevelsonadmissionanditsroleinpredictingdiseaseoutcomeinhospitalizedpatientswithcovid19
AT maharjananil ddimerasabiomarkerforassessmentofcovid19prognosisddimerlevelsonadmissionanditsroleinpredictingdiseaseoutcomeinhospitalizedpatientswithcovid19
AT gautamrakshya ddimerasabiomarkerforassessmentofcovid19prognosisddimerlevelsonadmissionanditsroleinpredictingdiseaseoutcomeinhospitalizedpatientswithcovid19