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Arash Kia
Researcher at Icahn School of Medicine at Mount Sinai
Publications - 22
Citations - 1306
Arash Kia is an academic researcher from Icahn School of Medicine at Mount Sinai. The author has contributed to research in topics: Medicine & Intensive care. The author has an hindex of 9, co-authored 16 publications receiving 627 citations.
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Journal ArticleDOI
Anticoagulation, Bleeding, Mortality, and Pathology in Hospitalized Patients With COVID-19.
Girish N. Nadkarni,Anuradha Lala,Emilia Bagiella,Helena L. Chang,Pedro R. Moreno,Elisabet Pujadas,Varun Arvind,Sonali Bose,Alexander W. Charney,Martin D. Chen,Carlos Cordon-Cardo,Andrew Dunn,Michael E. Farkouh,Benjamin S. Glicksberg,Arash Kia,Roopa Kohli-Seth,Matthew A. Levin,Prem Timsina,Shan Zhao,Zahi A. Fayad,Valentin Fuster +20 more
TL;DR: Association of AC with in-hospital outcomes and thromboembolic findings on autopsies was associated with lower mortality and intubation among hospitalized COVID-19 patients, although not statistically significant.
Journal ArticleDOI
AKI in hospitalized patients with COVID-19
Lili Chan,Kumardeep Chaudhary,Aparna Saha,Kinsuk Chauhan,Akhil Vaid,Shan Zhao,Ishan Paranjpe,Sulaiman Somani,Felix Richter,Riccardo Miotto,Anuradha Lala,Arash Kia,Prem Timsina,Li Li,Robert Freeman,Rong Chen,Jagat Narula,Allan C. Just,Carol R. Horowitz,Zahi A. Fayad,Carlos Cordon-Cardo,Eric E. Schadt,Matthew A. Levin,David Reich,Valentin Fuster,Barbara Murphy,John Cijiang He,Alexander W. Charney,Erwin P. Bottinger,Benjamin S. Glicksberg,Steven G. Coca,Girish N. Nadkarni +31 more
TL;DR: This retrospective, observational study involved a review of data from electronic health records of patients aged ≥18 years with laboratory-confirmed COVID-19 admitted to the Mount Sinai Health System from February 27 to May 30, 2020 to describe the frequency of AKI and dialysis requirement, AKI recovery, and adjusted odds ratios with mortality.
Journal ArticleDOI
Machine Learning to Predict Mortality and Critical Events in a Cohort of Patients With COVID-19 in New York City: Model Development and Validation.
Akhil Vaid,Sulaiman Somani,Adam Russak,Jessica K De Freitas,Fayzan Chaudhry,Ishan Paranjpe,Kipp W. Johnson,Samuel J. Lee,Riccardo Miotto,Felix Richter,Shan Zhao,Noam D. Beckmann,Nidhi Naik,Arash Kia,Prem Timsina,Anuradha Lala,Manish Paranjpe,Eddye Golden,Matteo Danieletto,Manbir Singh,Dara Meyer,Paul F. O'Reilly,Laura M. Huckins,Patricia Kovatch,Joseph Finkelstein,Robert Freeman,Edgar Argulian,Andrew Kasarskis,Bethany Percha,Judith A. Aberg,Emilia Bagiella,Carol R. Horowitz,Barbara Murphy,Eric J. Nestler,Eric E. Schadt,Judy H. Cho,Carlos Cordon-Cardo,Valentin Fuster,Dennis S. Charney,David Reich,Erwin P. Bottinger,Erwin P. Bottinger,Matthew A. Levin,Jagat Narula,Zahi A. Fayad,Allan C. Just,Alexander W. Charney,Girish N. Nadkarni,Benjamin S. Glicksberg +48 more
TL;DR: Externally and prospectively trained and validated machine learning models for mortality and critical events for patients with COVID-19 at different time horizons were developed and established model interpretability to identify and rank variables that drive model predictions.
Journal ArticleDOI
Using machine learning to predict ICU transfer in hospitalized COVID-19 patients
Fu-Yuan Cheng,Himanshu Joshi,Pranai Tandon,Robert Freeman,Robert Freeman,David Reich,David Reich,Madhu Mazumdar,Roopa Kohli-Seth,Matthew A. Levin,Prem Timsina,Arash Kia +11 more
TL;DR: A ML-based prediction model can be used as a screening tool to identify patients at risk of imminent ICU transfer within 24 h, which could improve the management of hospital resources and patient-throughput planning, thus delivering more effective care to patients hospitalized with COVID-19.
Journal ArticleDOI
Risk of stroke in hospitalized SARS-CoV-2 infected patients: A multinational study.
Shima Shahjouei,Soheil Naderi,Soheil Naderi,Jiang Li,Ayesha Khan,Durgesh Chaudhary,Ghasem Farahmand,Shailesh Male,Christoph J. Griessenauer,Mirna Sabra,Stefania Mondello,Achille Cernigliaro,Faezeh Khodadadi,Apoorva Dev,Nitin Goyal,Sakineh Ranji-Burachaloo,Oluwaseyi Olulana,Venkatesh Avula,Seyed Amir Ebrahimzadeh,Orkhan Alizada,Mehmet Hanci,Askar Ghorbani,Alaleh Vaghefi far,Annemarei Ranta,Annemarei Ranta,Martin Punter,Martin Punter,Mahtab Ramezani,Nima Ostadrahimi,Georgios Tsivgoulis,Georgios Tsivgoulis,Paraskevi C. Fragkou,Peyman Nowrouzi-Sohrabi,Emmanouil Karofylakis,Sotirios Tsiodras,Saeideh Neshin Aghayari Sheikh,Alia Saberi,Mika Niemelä,Behnam Rezai Jahromi,Ashkan Mowla,Mahsa Mashayekhi,Reza Bavarsad Shahripour,Seyed Aidin Sajedi,Mohammad Ghorbani,Arash Kia,Nasrin Rahimian,Vida Abedi,Vida Abedi,Ramin Zand,Ramin Zand +49 more
TL;DR: The results of this multi-national study on hospitalized patients with Sars-CoV-2 infection indicated an overall stroke risk of 0.5% and the need for mechanical ventilation and the history of ischaemic heart disease are the independent predictors of stroke among SARS-Cov-2 patients.