Background: The SARC-CalF was developed as a screening tool for sarcopenia, but little is still known about its validity in surgical patients. Thus, this study aimed to assess the prognostic value of SARC-CalF in predicting clinical outcomes in patients admitted for any elective surgery in a hospital.
Methods: Cohort study with prospective data collection of surgical patients ≥18 years of age screened for sarcopenia within 48 h of admission using the SARC-CalF (score ≥11 points classified patients at suggestive signs of sarcopenia).
Aim: to evaluate the predictive ability of the Nutritional Risk Emergency - 2017 (NRE) to predict prolonged length of stay, ICU admission intra-mortality and readmission, severe postoperative complications. Methods: a prospective cohort was conducted with surgical patients admitted in a public tertiary hospital. The NRE-2017 tool was applied for detecting malnutrition risk in hospitalized patients.
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March 2022
This study aimed to evaluate the validity of calf circumference (CC) in identifying malnourished patients and patients at nutritional risk and determine the association between CC and clinical outcomes of hospitalized patients. A prospective cohort study was conducted involving patients admitted to the emergency department of a tertiary hospital in the first 48 hours of admission. Nutritional risk was determined using Nutritional Risk Screening, malnutrition was diagnosed using subjective global assessment, and CC was manually measured.
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July 2020
Objective: To evaluate the concordance between the modified NUTRIC and NUTRIC with C-reactive protein instruments in identifying nutritional risk patients and predicting mortality in critically ill patients. The risk of death in patient groups was also investigated according to nutritional risk and malnutrition detected by subjective global assessment.
Methods: A cohort study of patients admitted to an intensive care unit.
Background: Ulna length (UL) has been used in mathematical formulas to predict the body height of healthy and sick individuals. However, the evaluation of its use with patients admitted to intensive care units (ICU) is scarce. The objective of this study was to develop a mathematical equation to estimate critically ill patients' height using the UL measure and to evaluate its agreement with measured standing height.
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