
In a May 16 letter, the American Hospital Association (AHA) expressed concern to GE Healthcare regarding the current Omnipaque CT contrast agent shortage due to lockdown of the company's manufacturing facility in Shanghai, China.
"America's hospitals, health systems and AHRMM [Association for Health Care Resource & Materials Management] members depend on access to a consistent supply of GE's Omnipaque products to diagnose and treat a broad array of patients," wrote Ashley Thompson, senior vice president of AHA public policy analysis and development. "The recent shutdown of the GE production plant in Shanghai due to COVID-19 raises significant concerns about Omnipaque product availability."
The AHA urged GE to respond to the following concerns:
- Omnipaque allotment expectations
- Prioritizing distribution of the agent for critical services
- Distribution expectations
- Extending current Omnipaque supply
- Managing demand for rescheduled medical exams and procedures
"The shutdown has had direct impact on America's hospitals' and health systems' ability to care for patients and concern remains that prolonged and reduced allocations of Omnipaque will continue to present serious challenges in the future," the AHA wrote.
















![Images show the pectoralis muscles of a healthy male individual who never smoked (age, 66 years; height, 178 cm; body mass index [BMI, calculated as weight in kilograms divided by height in meters squared], 28.4; number of cigarette pack-years, 0; forced expiratory volume in 1 second [FEV1], 97.6% predicted; FEV1: forced vital capacity [FVC] ratio, 0.71; pectoralis muscle area [PMA], 59.4 cm2; pectoralis muscle volume [PMV], 764 cm3) and a male individual with a smoking history and chronic obstructive pulmonary disorder (COPD) (age, 66 years; height, 178 cm; BMI, 27.5; number of cigarette pack-years, 43.2, FEV1, 48% predicted; FEV1:FVC, 0.56; PMA, 35 cm2; PMV, 480.8 cm3) from the Canadian Cohort Obstructive Lung Disease (i.e., CanCOLD) study. The CT image is shown in the axial plane. The PMV is automatically extracted using the developed deep learning model and overlayed onto the lungs for visual clarity.](https://img.auntminnie.com/mindful/smg/workspaces/default/uploads/2026/03/genkin.25LqljVF0y.jpg?auto=format%2Ccompress&crop=focalpoint&fit=crop&h=112&q=70&w=112)



