Open AccessNutritional Risk Indicators for Predicting a Change in Quadriceps Muscle Thickness in Acute Patients with Stroke
Author(s) -
Yoji Kokura,
Shinta Nishioka
Publication year - 2022
Publication title -
jma journal
Language(s) - English
Resource type - Journals
eISSN - 2433-3298
pISSN - 2433-328X
DOI - 10.31662/jmaj.2021-0107
Subject(s) - medicine , confounding , univariate analysis , confidence interval , prospective cohort study , stroke (engine) , malnutrition , multivariate analysis , cardiology , mechanical engineering , engineering
To date, no studies have assessed the prognostic ability of nutritional indicators to predict changes in quadriceps muscle thickness (QMT). Hence, this study aimed to identify the optimal nutritional indicators for predicting the change in QMT during the acute phase in patients with stroke.