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...
Autores principales: | , , , , , , , |
---|---|
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 |