Coding malnutrition in orthopaedic surgery

Published: 26 February 2024| Version 1 | DOI: 10.17632/bcwyfr3tr6.1
Matteo Briguglio


The correct identification of malnourished patients in the context of hip, knee, or spine surgery research would enhance the quality of analytical studies investigating the prediction potential of preoperative nutritional disorders on postoperative recovery. However, accurate malnutrition screening and diagnostic assessment rely on parameters that were not routinely collected in routine practice until a few years ago. The authors of this dataset developed substitute literature-based equations that could be built up using historical routinely collected data to classify patients who had been at risk of malnutrition or malnourished. The dataset was used to stimulate the writing of the article "Definition of malnutrition from routinely-collected data for orthopedic surgery research: The global leadership initiative on malnutrition (GLIM) tool and others", which was published in the journal Frontiers in Nutrition in 2023.



IRCCS Istituto Ortopedico Galeazzi


Malnutrition, Orthopedic Surgery for Spinal Deformity, Preoperative Assessment, Geriatric Rehabilitation