TY - JOUR
T1 - Admission D-dimer levels, D-dimer trends, and outcomes in COVID-19
AU - Naymagon, Leonard
AU - Zubizarreta, Nicole
AU - Feld, Jonathan
AU - van Gerwen, Maaike
AU - Alsen, Mathilda
AU - Thibaud, Santiago
AU - Kessler, Alaina
AU - Venugopal, Sangeetha
AU - Makki, Iman
AU - Qin, Qian
AU - Dharmapuri, Sirish
AU - Jun, Tomi
AU - Bhalla, Sheena
AU - Berwick, Shana
AU - Christian, Krina
AU - Mascarenhas, John
AU - Dembitzer, Francine
AU - Moshier, Erin
AU - Tremblay, Douglas
N1 - Funding Information:
The authors acknowledge the support of the Biostatistics Shared Resource Facility, Icahn School of Medicine at Mount Sinai, and National Institutes of Health, National Cancer Institute Cancer Center Support Grant P30 CA196521-01.
Publisher Copyright:
© 2020 Elsevier Ltd
PY - 2020/12
Y1 - 2020/12
N2 - 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.
AB - 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.
KW - Admission
KW - COVID-19
KW - D-dimer
KW - Outcomes
KW - Thrombosis
KW - Trend
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U2 - 10.1016/j.thromres.2020.08.032
DO - 10.1016/j.thromres.2020.08.032
M3 - Article
C2 - 32853982
AN - SCOPUS:85089738715
SN - 0049-3848
VL - 196
SP - 99
EP - 105
JO - Thrombosis Research
JF - Thrombosis Research
ER -