Construction and effect evaluation of a prediction model for malnutrition risk in patients recovering from stroke (opens in new tab)

BackgroundThe incidence of malnutrition in stroke patients during recovery is high, which seriously affects the rehabilitation outcome. Existing general nutrition screening tools have limited predictive power for this specific population.PurposeTo construct and validate a prediction model specifically for assessing the risk of malnutrition in patients with stroke during recovery.MethodA total of 262 patients with stroke in recovery stage were retrospectively enrolled and divided into training...