The Table-Mounted Mayo Tray Attachment is a space-saving, highly functional solution designed to keep surgical instruments and supplies directly adjacent to the surgical site. By clamping directly to the OR table side rail, this mayo tray eliminates floor clutter while providing a stable, adjustable work surface for surgeons and nursing staff.
Constructed from fully welded 304-grade stainless steel, this mayo tray attachment is built to withstand the harsh cleaning and disinfection demands of the operating room without rusting or corroding. The seamless welded design eliminates crevices where debris can collect, ensuring superior hygiene, durability, and long service life.
The 12 5/8″ x 19 1/8″ stainless steel tray is removable for easy cleaning and height-adjustable up to 26″, allowing precise positioning over the bed or operating table. The tray swivels 360 degrees and can be leveled at any angle, providing maximum flexibility during complex procedures or in ORs where multiple mayo stands are required.
This table-mounted mayo stand attachment uses a 5/8″ round mounting post and fits most standard rail clamps, including Clark sockets (sold separately). When not in use, the stand folds flat for compact storage—an ideal feature for operating rooms with limited space.
Key Features & Benefits
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Table-mounted design keeps instruments close while saving OR floor space
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304-grade stainless steel construction for corrosion resistance and longevity
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Fully welded frame prevents contamination and increases strength
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Removable tray for fast and thorough cleaning
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Height adjustable up to 26″ for precise positioning
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360-degree swivel with adjustable upright and level tray
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Folds flat for easy storage when not in use
Specifications
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Tray size: 12 5/8″ x 19 1/8″
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Material: 304 stainless steel
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Mounting post: 5/8″ round
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Clamp type: Fits standard Clark socket or equivalent rail clamp (sold separately)
The Mayo Tray Attachment is an excellent choice for operating rooms, surgical centers, and procedure suites where efficiency, cleanliness, and space optimization are critical.