M
Meng Cao
Researcher at New York University
Publications - 6
Citations - 474
Meng Cao is an academic researcher from New York University. The author has contributed to research in topics: Triage & Population. The author has an hindex of 5, co-authored 6 publications receiving 215 citations.
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Journal ArticleDOI
Hemorrhagic stroke and anticoagulation in COVID-19.
Siddhant Dogra,Rajan Jain,Meng Cao,Seda Bilaloglu,David Zagzag,Sarah Hochman,Ariane Lewis,Kara Melmed,Katherine Hochman,Leora I. Horwitz,Steven L. Galetta,Jeffrey S. Berger +11 more
TL;DR: Anticoagulation therapy may be considered in patients with COVID-19 though the risk of ICH should be taken into account when developing a treatment regimen.
Journal ArticleDOI
Prevalence and Outcomes of D-Dimer Elevation in Hospitalized Patients With COVID-19.
Jeffrey S. Berger,Dennis Kunichoff,Samrachana Adhikari,Tania Ahuja,Nancy Amoroso,Yindalon Aphinyanaphongs,Meng Cao,Ronald Goldenberg,Alexander Hindenburg,James Horowitz,Sam Parnia,Christopher M. Petrilli,Harmony R. Reynolds,Emma Simon,James Slater,Shadi Yaghi,Eugene Yuriditsky,Judith S. Hochman,Leora I. Horwitz +18 more
TL;DR: Abnormal D-dimer was frequently observed at admission with COVID-19 and was associated with higher incidence of critical illness, thrombotic events, acute kidney injury, and death, and the optimal management of patients with elevated D- dimer in CO VID-19 requires further study.
Journal ArticleDOI
An artificial intelligence system for predicting the deterioration of COVID-19 patients in the emergency department
Farah E. Shamout,Yiqiu Shen,Nan Wu,Aakash Kaku,Jungkyu Park,Taro Makino,Taro Makino,Stanisław Jastrzębski,Stanisław Jastrzębski,Jan Witowski,Duo Wang,Ben Zhang,Siddhant Dogra,Meng Cao,Narges Razavian,Narges Razavian,David Kudlowitz,Lea Azour,William Moore,Yvonne W. Lui,Yindalon Aphinyanaphongs,Carlos Fernandez-Granda,Krzysztof J. Geras,Krzysztof J. Geras +23 more
TL;DR: In this article, the authors proposed a data-driven approach for automatic prediction of deterioration risk using a deep neural network that learns from chest X-ray images and a gradient boosting model.
Journal ArticleDOI
A validated, real-time prediction model for favorable outcomes in hospitalized COVID-19 patients.
Narges Razavian,Vincent J. Major,Mukund Sudarshan,Jesse Burk-Rafel,Peter Stella,Hardev Randhawa,Seda Bilaloglu,Ji Chen,Vuthy Nguy,Walter Wang,Hao Zhang,Ilan Reinstein,David Kudlowitz,Cameron Zenger,Meng Cao,Ruina Zhang,Siddhant Dogra,Keerthi B. Harish,Brian P. Bosworth,Fritz Francois,Leora I. Horwitz,Rajesh Ranganath,Jonathan S. Austrian,Yindalon Aphinyanaphongs +23 more
TL;DR: A parsimonious model is developed and validated to identify patients with favorable outcomes within 96 h of a prediction, based on real-time lab values, vital signs, and oxygen support variables, and implemented and integrated into the EHR.
Journal ArticleDOI
Risk factors for intracerebral hemorrhage in patients with COVID-19.
Kara Melmed,Meng Cao,Siddhant Dogra,Ruina Zhang,Shadi Yaghi,Ariane Lewis,Rajan Jain,Seda Bilaloglu,Ji Chen,Barry M. Czeisler,Eytan Raz,Aaron Lord,Jeffrey S. Berger,Jennifer A. Frontera +13 more
TL;DR: A retrospective cohort study of adult patients admitted to NYU Langone Health system between March 1 and April 27 2020 with a positive nasopharyngeal swab polymerase chain reaction test result and presence of primary nontraumatic intracranial hemorrhage or hemorrhagic conversion of ischemic stroke on neuroimaging to assess risk factors associated with ICH.