Arash Kia

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.

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.

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.

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.

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.