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.

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.

Phase angle assessment in critically ill cancer patients: Relationship with the nutritional status, prognostic factors and death.

PURPOSE: To evaluate the relationship between phase angle (PA) and nutritional status and the prognostic significance of PA in critically ill cancer patients. METHODS: 31 patients that had been admitted to the intensive care unit (ICU) of a center on oncology were evaluated. Their PA was obtained from their bioelectrical impedance within 48 h of the ICU admission. The logistic regression analysis of Cox was used in order to identify the independent predictors of the outcomes. RESULTS: Negative and significant correlations were observed between the PA and the following variables: the length of hospital ward stay, the length of ICU stay, the total time of hospital stay, the mechanical ventilation time, and the acute physiology and chronic health evaluation II (APACHE II) scores. A positive correlation was ascertained between the PA and albumin. PA was significantly associated with death. Patients with a PA ≤3.8° presented a significantly shorter survival time than those with a PA >3.8°. CONCLUSION: PA was a prognostic marker in this population, independently of previously established prognostic factors. PA can represent a clinically feasible approach for the initial identification of critically ill cancer patients who require an early and specialized nutritional intervention.