Assessing the Severity of COVID-19 Lung Injury in Rheumatic Diseases Versus the General Population Using Deep Learning-Derived Chest Radiograph Scores.
Naomi J PatelKristin M D'SilvaMatthew D LiTiffany Y T HsuMichael DiIorioXiaoqing FuClaire CookLauren PriscoLily MartinKathleen M M VanniAlessandra ZaccardelliYuqing ZhangJayashree Kalpathy-CramerJeffrey A SparksZachary Scott WallacePublished in: Arthritis care & research (2022)
Rheumatic disease patients with COVID-19 had more severe radiographic lung involvement than comparators. Higher PXS scores were associated with mechanical ventilation and will be important for future studies leveraging big data to assess COVID-19 outcomes in rheumatic disease patients.
Keyphrases
- big data
- mechanical ventilation
- coronavirus disease
- sars cov
- deep learning
- artificial intelligence
- end stage renal disease
- rheumatoid arthritis
- machine learning
- acute respiratory distress syndrome
- intensive care unit
- ejection fraction
- chronic kidney disease
- newly diagnosed
- peritoneal dialysis
- early onset
- type diabetes
- current status
- adipose tissue
- patient reported outcomes
- respiratory failure
- respiratory syndrome coronavirus
- glycemic control