Cargando…
Admission D-dimer levels, D-dimer trends, and outcomes in COVID-19
Observational data suggest an acquired prothrombotic state may contribute to the pathophysiology of COVID-19. These data include elevated D-dimers observed among many COVID-19 patients. We present a retrospective analysis of admission D-dimer, and D-dimer trends, among 1065 adult hospitalized COVID-...
Autores principales: | , , , , , , , , , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier Ltd.
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7439969/ https://www.ncbi.nlm.nih.gov/pubmed/32853982 http://dx.doi.org/10.1016/j.thromres.2020.08.032 |
_version_ | 1783573073241309184 |
---|---|
author | Naymagon, Leonard Zubizarreta, Nicole Feld, Jonathan van Gerwen, Maaike Alsen, Mathilda Thibaud, Santiago Kessler, Alaina Venugopal, Sangeetha Makki, Iman Qin, Qian Dharmapuri, Sirish Jun, Tomi Bhalla, Sheena Berwick, Shana Christian, Krina Mascarenhas, John Dembitzer, Francine Moshier, Erin Tremblay, Douglas |
author_facet | Naymagon, Leonard Zubizarreta, Nicole Feld, Jonathan van Gerwen, Maaike Alsen, Mathilda Thibaud, Santiago Kessler, Alaina Venugopal, Sangeetha Makki, Iman Qin, Qian Dharmapuri, Sirish Jun, Tomi Bhalla, Sheena Berwick, Shana Christian, Krina Mascarenhas, John Dembitzer, Francine Moshier, Erin Tremblay, Douglas |
author_sort | Naymagon, Leonard |
collection | PubMed |
description | Observational data suggest an acquired prothrombotic state may contribute to the pathophysiology of COVID-19. These data include elevated D-dimers observed among many COVID-19 patients. We present a retrospective analysis of admission D-dimer, and D-dimer trends, among 1065 adult hospitalized COVID-19 patients, across 6 New York Hospitals. The primary outcome was all-cause mortality. Secondary outcomes were intubation and venous thromboembolism (VTE). Three-hundred-thirteen patients (29.4%) died, 319 (30.0%) required intubation, and 30 (2.8%) had diagnosed VTE. Using Cox proportional-hazard modeling, each 1 μg/ml increase in admission D-dimer level was associated with a hazard ratio (HR) of 1.06 (95%CI 1.04–1.08, p < 0.0001) for death, 1.08 (95%CI 1.06–1.10, p < 0.0001) for intubation, and 1.08 (95%CI 1.03–1.13, p = 0.0087) for VTE. Time-dependent receiver-operator-curves for admission D-dimer as a predictor of death, intubation, and VTE yielded areas-under-the-curve of 0.694, 0.621, and 0.565 respectively. Joint-latent-class-modeling identified distinct groups of patients with respect to D-dimer trend. Patients with stable D-dimer trajectories had HRs of 0.29 (95%CI 0.17–0.49, p < 0.0001) and 0.22 (95%CI 0.10–0.45, p = 0.0001) relative to those with increasing D-dimer trajectories, for the outcomes death and intubation respectively. Patients with low-increasing D-dimer trajectories had a multivariable HR for VTE of 0.18 (95%CI 0.05–0.68, p = 0.0117) relative to those with high-decreasing D-dimer trajectories. Time-dependent receiver-operator-curves for D-dimer trend as a predictor of death, intubation, and VTE yielded areas-under-the-curve of 0.678, 0.699, and 0.722 respectively. Although admission D-dimer levels, and D-dimer trends, are associated with outcomes in COVID-19, they have limited performance characteristics as prognostic tests. |
format | Online Article Text |
id | pubmed-7439969 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Elsevier Ltd. |
record_format | MEDLINE/PubMed |
spelling | pubmed-74399692020-08-21 Admission D-dimer levels, D-dimer trends, and outcomes in COVID-19 Naymagon, Leonard Zubizarreta, Nicole Feld, Jonathan van Gerwen, Maaike Alsen, Mathilda Thibaud, Santiago Kessler, Alaina Venugopal, Sangeetha Makki, Iman Qin, Qian Dharmapuri, Sirish Jun, Tomi Bhalla, Sheena Berwick, Shana Christian, Krina Mascarenhas, John Dembitzer, Francine Moshier, Erin Tremblay, Douglas Thromb Res Full Length Article Observational data suggest an acquired prothrombotic state may contribute to the pathophysiology of COVID-19. These data include elevated D-dimers observed among many COVID-19 patients. We present a retrospective analysis of admission D-dimer, and D-dimer trends, among 1065 adult hospitalized COVID-19 patients, across 6 New York Hospitals. The primary outcome was all-cause mortality. Secondary outcomes were intubation and venous thromboembolism (VTE). Three-hundred-thirteen patients (29.4%) died, 319 (30.0%) required intubation, and 30 (2.8%) had diagnosed VTE. Using Cox proportional-hazard modeling, each 1 μg/ml increase in admission D-dimer level was associated with a hazard ratio (HR) of 1.06 (95%CI 1.04–1.08, p < 0.0001) for death, 1.08 (95%CI 1.06–1.10, p < 0.0001) for intubation, and 1.08 (95%CI 1.03–1.13, p = 0.0087) for VTE. Time-dependent receiver-operator-curves for admission D-dimer as a predictor of death, intubation, and VTE yielded areas-under-the-curve of 0.694, 0.621, and 0.565 respectively. Joint-latent-class-modeling identified distinct groups of patients with respect to D-dimer trend. Patients with stable D-dimer trajectories had HRs of 0.29 (95%CI 0.17–0.49, p < 0.0001) and 0.22 (95%CI 0.10–0.45, p = 0.0001) relative to those with increasing D-dimer trajectories, for the outcomes death and intubation respectively. Patients with low-increasing D-dimer trajectories had a multivariable HR for VTE of 0.18 (95%CI 0.05–0.68, p = 0.0117) relative to those with high-decreasing D-dimer trajectories. Time-dependent receiver-operator-curves for D-dimer trend as a predictor of death, intubation, and VTE yielded areas-under-the-curve of 0.678, 0.699, and 0.722 respectively. Although admission D-dimer levels, and D-dimer trends, are associated with outcomes in COVID-19, they have limited performance characteristics as prognostic tests. Elsevier Ltd. 2020-12 2020-08-20 /pmc/articles/PMC7439969/ /pubmed/32853982 http://dx.doi.org/10.1016/j.thromres.2020.08.032 Text en © 2020 Elsevier Ltd. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Full Length Article Naymagon, Leonard Zubizarreta, Nicole Feld, Jonathan van Gerwen, Maaike Alsen, Mathilda Thibaud, Santiago Kessler, Alaina Venugopal, Sangeetha Makki, Iman Qin, Qian Dharmapuri, Sirish Jun, Tomi Bhalla, Sheena Berwick, Shana Christian, Krina Mascarenhas, John Dembitzer, Francine Moshier, Erin Tremblay, Douglas Admission D-dimer levels, D-dimer trends, and outcomes in COVID-19 |
title | Admission D-dimer levels, D-dimer trends, and outcomes in COVID-19 |
title_full | Admission D-dimer levels, D-dimer trends, and outcomes in COVID-19 |
title_fullStr | Admission D-dimer levels, D-dimer trends, and outcomes in COVID-19 |
title_full_unstemmed | Admission D-dimer levels, D-dimer trends, and outcomes in COVID-19 |
title_short | Admission D-dimer levels, D-dimer trends, and outcomes in COVID-19 |
title_sort | admission d-dimer levels, d-dimer trends, and outcomes in covid-19 |
topic | Full Length Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7439969/ https://www.ncbi.nlm.nih.gov/pubmed/32853982 http://dx.doi.org/10.1016/j.thromres.2020.08.032 |
work_keys_str_mv | AT naymagonleonard admissionddimerlevelsddimertrendsandoutcomesincovid19 AT zubizarretanicole admissionddimerlevelsddimertrendsandoutcomesincovid19 AT feldjonathan admissionddimerlevelsddimertrendsandoutcomesincovid19 AT vangerwenmaaike admissionddimerlevelsddimertrendsandoutcomesincovid19 AT alsenmathilda admissionddimerlevelsddimertrendsandoutcomesincovid19 AT thibaudsantiago admissionddimerlevelsddimertrendsandoutcomesincovid19 AT kessleralaina admissionddimerlevelsddimertrendsandoutcomesincovid19 AT venugopalsangeetha admissionddimerlevelsddimertrendsandoutcomesincovid19 AT makkiiman admissionddimerlevelsddimertrendsandoutcomesincovid19 AT qinqian admissionddimerlevelsddimertrendsandoutcomesincovid19 AT dharmapurisirish admissionddimerlevelsddimertrendsandoutcomesincovid19 AT juntomi admissionddimerlevelsddimertrendsandoutcomesincovid19 AT bhallasheena admissionddimerlevelsddimertrendsandoutcomesincovid19 AT berwickshana admissionddimerlevelsddimertrendsandoutcomesincovid19 AT christiankrina admissionddimerlevelsddimertrendsandoutcomesincovid19 AT mascarenhasjohn admissionddimerlevelsddimertrendsandoutcomesincovid19 AT dembitzerfrancine admissionddimerlevelsddimertrendsandoutcomesincovid19 AT moshiererin admissionddimerlevelsddimertrendsandoutcomesincovid19 AT tremblaydouglas admissionddimerlevelsddimertrendsandoutcomesincovid19 |