Complementarity of nutritional assessment tools to predict prolonged hospital stay and readmission in older patients with solid tumors: A secondary analysis of a cohort study.

OBJECTIVE: The aim of this study was to investigate the complementarity of five nutritional risk screening tools (Nutritional Risk Screening 2002 [NRS-2002], Malnutrition Screening Tool [MST], Malnutrition Universal Screening Tool [MUST], Mini-Nutritional Assessment-Short Form [MNA-SF], and Patient-Generated Subjective Global Assessment SF [PG-SGA SF]) combined with three malnutrition diagnostic tools (SGA, PG-SGA, and Global Leadership Initiative on Malnutrition [GLIM]) and their ability to predict poor clinical outcomes in older patients with cancer. METHODS: Using data collected within 48 h of hospital admission, we conducted a prospective cohort study on nutritional risk (NRS-2002, MST, MUST, MNA-SF, and PG-SGA SF) and the presence of malnutrition (SGA, PG-SGA, and GLIM). Patients were grouped according to their nutritional risk and malnutrition status. Accuracy tests and logistic regression analysis were used to evaluate the ability of the combined tools to predict hospital length of stay and readmission. We evaluated 248 older patients (69.7 ± 7.2 y of age, 59.7% men; 27.4% with gastrointestinal tumors). The median length of stay was 4 d (3-9 d), and 65.3% of patients remained hospitalized for ≥ 4 d. RESULTS: The NRS-2002 combined with SGA and MST combined with SGA and GLIM had the highest specificity (> 80%) for predicting hospitalization. Nutritional risk assessed by MNA-SF and malnutrition assessed by PG-SGA were associated with 2.48- and 6.04-fold increased likelihood of hospitalization (≥ 4 d) and readmission (60 d), respectively. CONCLUSION: Concomitant application of MNA-SF (specific for older patients) with PG-SGA (specific for patients with cancer) might enhance the ability to predict length of stay and readmission in hospitalized older patients with solid tumors.

Accuracy of the GLIM Criteria and SGA Compared to PG-SGA for the Diagnosis of Malnutrition and Its Impact on Prolonged Hospitalization: A Prospective Study in Patients with Cancer.

BACKGROUND: Early assessment of malnutrition in cancer patients is essential. This study analyzed the accuracy of the Global Leadership Initiative on Malnutrition (GLIM) and the Subjective Global Assessment (SGA), in diagnosing malnutrition, considering the Patient Generated-SGA (PG-SGA) as a reference, and the impact of malnutrition on hospital days. METHODS: We conducted a prospective cohort study in 183 patients with gastrointestinal, head and neck, and lung cancer. Malnutrition was assessed within 48 h, of hospital admission according to the SGA, PG-SGA, and GLIM. Accuracy tests and regression analysis were performed to assess the criterion validity of the GLIM and SGA for diagnosing malnutrition. RESULTS: Malnutrition was diagnosed in 57.3% (SGA), 86.3% (PG-SGA), and 74.9% (GLIM) of the inpatients. The median of hospitalization was 6 (3-11) days, with 47% hospitalized > 6 day. The SGA presented the best accuracy (AUC = 0.832) than the GLIM (AUC = 0.632) compared to PG-SGA. Patients diagnosed with malnutrition by SGA, GLIM, and PG-SGA remained hospitalized for 2.13, 3.19, and 4.56 day more than well-nourished patients, respectively. CONCLUSION: Compared to PG-SGA, the SGA presents good accuracy and adequate specificity (>80%). Malnutrition evaluated by SGA, PG-SGA, and GLIM was associated with more days of hospitalization.