Clinical usefulness of the patient-generated subjective global assessment short form© for nutritional screening in patients with head and neck cancer: a multicentric study.

Nutritional screening and assessment are considered essential steps in nutritional care for cancer patients, malnutrition remains underreported in clinical practice. The aim of this study was to analyse the clinical usefulness of the Patient-Generated Subjective Global Assessment short form (PG-SGA SF©) for nutritional screening in patients with head and neck cancer (HNC). This is a multicentre, cross-sectional study involving patients with HNC. The final score of the PG-SGA SF© was obtained and the nutritional status was diagnosed using the Patient-Generated Subjective Global Assessment (PG-SGA)®, classifying them as well-nourished or malnourished. Receiver operating characteristic curve, ordinal logistic regression, and C-statistic were used. In total, 353 patients with HNC were enrolled and the prevalence of malnutrition, according to the PG-SGA®, was 64.02% and the median final score of PG-SGA SF© was 11 points. The final score of the PG-SGA SF© had high accuracy (area under the curve = 0.915), and scores ≥9 had the best performance in diagnosing malnutrition. PG-SGA SF© final score ≥9 was associated with malnutrition (odds ratio = 28.32, 95% confidence interval= 15.98-50.17), with excellent discriminatory power (C-statistic = 0.872). In conclusion, the PG-SGA SF© demonstrated excellent performance for nutritional screening in patients with HNC. Given that it is a simple instrument that is faster to administer than the PG-SGA®, we recommend its use in clinical practice among such patients.

Predictive validity of GLIM malnutrition diagnosis in patients with colorectal cancer.

BACKGROUND: Considering that the validation of the Global Leadership Initiative on Malnutrition (GLIM) remains unclear in patients with colorectal cancer, the present study aimed to assess the agreement, accuracy, sensitivity, specificity, and prognostic effect of the GLIM on survival when compared with the Patient-Generated Subjective Global Assessment (PG-SGA). METHODS: Patients with colorectal cancer who were scheduled to undergo a routine abdominal computed tomography (CT) scan were recruited. Using the GLIM two-step approach, the patients were first screened for malnutrition by using the PG-SGA Short Form (score ≥3). The malnutrition diagnosis was based on the etiologic (disease burden [cancer] or reduced food intake) and phenotypic GLIM criteria, including weight loss, body mass index, and skeletal muscle index at the third lumbar vertebra when using the CT scans. The food intake was assessed by the PG-SGA. RESULTS: This study included 191 patients (age, 60.5 ± 11.3 years; 57% men), and 23% and 32% were malnourished according to the GLIM and the PG-SGA, respectively. The GLIM revealed fair sensitivity (64%), good agreement (kappa = 0.65), specificity (96%), and diagnostic accuracy for detecting malnutrition (area under the receiver operating characteristic curve = 0.80; 95% CI, 0.72-0.88) when compared with the PG-SGA. The malnutrition value according to the GLIM and the PG-SGA was associated with short-term survival. However, only the PG-SGA was associated with long-term survival. CONCLUSIONS: Although showing fair sensitivity, the GLIM had good agreement, specificity, and diagnostic accuracy for malnutrition detection and was an independent predictor of short-term survival in patients with colorectal cancer.

Performance of subjective global nutritional assessment in predicting clinical outcomes: Data from the Brazilian survey of pediatric oncology nutrition.

BACKGROUND: Methods for assessing nutritional status in children and adolescents with cancer is a difficult in clinical practice. The study aimed to evaluate the performance of Subjective Global Nutritional Assessment (SGNA) in predicting clinical outcomes in children and adolescents with cancer in Brazil. METHODS: This was a prospective cohort multicenter study. It was included 723 children and adolescents with cancer aged 2-18 years between March 2018 and August 2019. Nutritional assessment was performed according to World Health Organization recommendations and using SGNA within 48h of hospitalization. Unplanned readmission, length of hospital stay, and post-discharge death were analyzed. Cohen's kappa coefficient was used to ascertain the agreement between body mass index for age (BMI/A) and SGNA. The sensitivity, specificity, positive and negative predictive values, and accuracy of SGNA were estimated. Odds ratios (ORs) with 95% confidence intervals (CIs) were evaluated using multiple logistic regression. RESULTS: The mean patient age was 9.4 ± 4.9 years. SGNA showed that 29.7% (n = 215) and 6.5% (n = 47) patients had moderate and severe malnutrition, respectively. Considering the concurrent validity criterion, SGNA had an OR (95% CI) of 6.8 (3.1-14.9) for predicting low and very low weight for age at admission, with a sensitivity and specificity of 72.4% (59%-82.1%) and 72% (64.2%-78.9%), respectively. SGNA could predict death in children with severe/moderate malnutrition, with an accuracy of 63.8% (63%-65.1%). Logistic multivariate analysis showed that the adjusted effect of death; hematological tumor; living in the northeast, southeast, and midwest regions of Brazil; and older age was associated with malnutrition according to SGNA. CONCLUSION: Based on concurrent validity between SGNA and anthropometry, SGNA performed well and had a good ability to predict death in Brazilian children with cancer.

Patient-generated subjective global assessment predicts cachexia and death in patients with head, neck and abdominal cancer: A retrospective longitudinal study.

BACKGROUND & AIMS: Cancer is a complex disease, with poor prognosis when associated with malnutrition. This condition can lead to Cancer Cachexia (CC), a syndrome characterized by loss of muscle mass with or without fat loss, often associated with higher risk of death. Although there are recommended screening tools to assess nutritional status in cancer patients, such as Patient-Generated Subjective Global Assessment (PG-SGA), little is known about CC prediction. The aim was to investigate the association between nutritional status of patients with head, neck and abdominal cancer, assessed by PG-SGA at the day of hospitalization, with CC, hospitalization time and death. METHODS: This is a retrospective longitudinal study, where we collected data of 97 patients about PG-SGA nutritional classification, anthropometry, gender, age, cachexia diagnosis and death. RESULTS: PG-SGA classification was strongly associated with all the anthropometric measures (p < 0.0001). According to PG-SGA classification, 30.61% (n = 15) of patients in group A developed pre-cachexia; 38.24% in group B developed CC (n = 13); and 60% (n = 9) in group C developed refractory cachexia (p < 0.0001). Death rate was 24.49% (n = 12), 54.55% (n = 18) and 80% (n = 12) in groups A, B and C, respectively (p < 0.0001). PG-SGA had good sensibility (89.5%) and accuracy (72%) for CC, and also good specificity (75.51%) and accuracy (69%) for death. CONCLUSIONS: PG-SGA demonstrated a significative association with the variables measured and was able to predict CC and death. This, in addition to its simple applicability, suggests that PG-SGA can be a useful tool to screen cancer patients for CC establishment and death risk.