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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-...

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Detalles Bibliográficos
Autores principales: 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
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
Descripción
Sumario: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.