Admission D-dimer levels, D-dimer trends, and outcomes in COVID-19

被引:85
作者
Naymagon, Leonard [1 ]
Zubizarreta, Nicole [2 ]
Feld, Jonathan [1 ]
van Gerwen, Maaike [3 ,4 ]
Alsen, Mathilda [3 ]
Thibaud, Santiago [1 ]
Kessler, Alaina [1 ]
Venugopal, Sangeetha [1 ]
Makki, Iman [5 ]
Qin, Qian [1 ]
Dharmapuri, Sirish [1 ]
Jun, Tomi [1 ]
Bhalla, Sheena [1 ]
Berwick, Shana [1 ]
Christian, Krina [6 ]
Mascarenhas, John [1 ]
Dembitzer, Francine [6 ]
Moshier, Erin [2 ]
Tremblay, Douglas [1 ]
机构
[1] Icahn Sch Med Mt Sinai, Tisch Canc Inst, Div Hematol & Med Oncol, New York, NY 10029 USA
[2] Icahn Sch Med Mt Sinai, Tisch Canc Inst, Dept Populat Hlth Sci & Policy, New York, NY 10029 USA
[3] Icahn Sch Med Mt Sinai, Dept Otolaryngol Head & Neck Surg, New York, NY 10029 USA
[4] Icahn Sch Med Mt Sinai, Inst Translat Epidemiol, New York, NY 10029 USA
[5] Icahn Sch Med Mt Sinai, Dept Med, New York, NY 10029 USA
[6] Icahn Sch Med Mt Sinai, Dept Pathol & Lab Med, New York, NY 10029 USA
基金
美国国家卫生研究院;
关键词
COVID-19; D-dimer; Admission; Trend; Outcomes; Thrombosis;
D O I
10.1016/j.thromres.2020.08.032
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Observational data suggest an acquired prothrombotic state may contribute to the pathophysiology of COVID19. 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 mu g/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 highdecreasing 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.
引用
收藏
页码:99 / 105
页数:7
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