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Admission D-dimer levels, D-dimer trends, and outcomes in COVID-19
Leonard Naymagon
, Nicole Zubizarreta
, Jonathan Feld
, Maaike van Gerwen
, Mathilda Alsen
, Santiago Thibaud
,
Alaina Kessler
, Sangeetha Venugopal
, Iman Makki
, Qian Qin
, Sirish Dharmapuri
, Tomi Jun
, Sheena Bhalla
, Shana Berwick
, Krina Christian
, John Mascarenhas
, Francine Dembitzer
, Erin Moshier
, Douglas Tremblay
Section of Medical Oncology
Research output
:
Contribution to journal
›
Article
›
peer-review
95
Scopus citations
Overview
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Keyphrases
COVID-19
100%
D-dimer
100%
Intubation
40%
Venous Thromboembolism
40%
Hazard Ratio
13%
Mortality Prediction
13%
Area under the Curve
13%
Receiver Operating Characteristic Curve
13%
Multivariable
6%
Performance Characteristics
6%
Pathophysiology
6%
Retrospective Analysis
6%
All-cause Mortality
6%
New York
6%
Observational Data
6%
COVID-19 Patients
6%
Cox Proportional Hazards Modeling
6%
Prognostic Test
6%
Prothrombotic State
6%
Latent Class Modeling
6%
Hospitalized COVID-19 Patients
6%
Medicine and Dentistry
COVID-19
100%
D-Dimer
100%
Intubation
40%
Venous Thromboembolism
40%
Hazard Ratio
13%
Pathophysiology
6%
All Cause Mortality
6%
Primary Outcome
6%
Pharmacology, Toxicology and Pharmaceutical Science
D Dimer
100%
Venous Thromboembolism
40%
Intubation
40%
Pathophysiology
6%
All Cause Mortality
6%