Cancer cachexia: an overview of diagnostic criteria and therapeutic approaches for the accredited practicing dietitian.

BACKGROUND: Cancer cachexia (CC) is a multifactorial syndrome characterised by ongoing skeletal muscle loss that leads to progressive functional impairment driven by reduced food intake and abnormal metabolism. Despite the traditional use of non-volitional weight loss as the primary marker of CC, there is no consensus on how to diagnose and manage CC. METHODS: The aim of this narrative review was to describe and discuss diagnostic criteria and therapeutic approaches for the accredited practicing dietitian with respect to identifying and managing CC. RESULTS: Available diagnostic criteria for cachexia include the cancer-specific (Fearon and Cachexia Score) and general criteria (Evans and Global Leadership Initiative on Malnutrition). These include phenotypic criteria [weight loss, body mass index, (objective) muscle mass assessments, quality of life] and aetiological criteria (disease burden, inflammation, energy expenditure, anorexia and inadequate food intake) and can be incorporated into the nutrition care process (NCP). This informs the nutrition diagnosis of 'chronic disease- or condition-related malnutrition (undernutrition) as related to increased nutrient needs, anorexia or diminished intake due to CC'. Optimal nutrition care and management of CC is multidisciplinary, corrects for increased energy expenditure (via immunonutrition/eicosapentaenoic acid), suboptimal protein/energy intake and poor nutrition quality of life, and includes a physical exercise intervention. Monitoring of intervention efficacy should focus on maintaining or slowing the loss of muscle mass, with weight change as an alternative gross indicator. CONCLUSIONS: Dietitians and the NCP can play an essential role with respect to identifying and managing CC, focusing on aspects of nutrition screening, assessment and intervention.

Patient-Generated Subjective Global Assessment Short Form (PG-SGA SF) is a valid screening tool in chemotherapy outpatients.

PURPOSE: In the oncology population where malnutrition prevalence is high, more descriptive screening tools can provide further information to assist triaging and capture acute change. The Patient-Generated Subjective Global Assessment Short Form (PG-SGA SF) is a component of a nutritional assessment tool which could be used for descriptive nutrition screening. The purpose of this study was to conduct a secondary analysis of nutrition screening and assessment data to identify the most relevant information contributing to the PG-SGA SF to identify malnutrition risk with high sensitivity and specificity. METHODS: This was an observational, cross-sectional study of 300 consecutive adult patients receiving ambulatory anti-cancer treatment at an Australian tertiary hospital. Anthropometric and patient descriptive data were collected. The scored PG-SGA generated a score for nutritional risk (PG-SGA SF) and a global rating for nutrition status. Receiver operating characteristic curves (ROC) were generated to determine optimal cut-off scores for combinations of the PG-SGA SF boxes with the greatest sensitivity and specificity for predicting malnutrition according to scored PG-SGA global rating. RESULTS: The additive scores of boxes 1-3 had the highest sensitivity (90.2 %) while maintaining satisfactory specificity (67.5 %) and demonstrating high diagnostic value (AUC = 0.85, 95 % CI = 0.81-0.89). The inclusion of box 4 (PG-SGA SF) did not add further value as a screening tool (AUC = 0.85, 95 % CI = 0.80-0.89; sensitivity 80.4 %; specificity 72.3 %). CONCLUSIONS: The validity of the PG-SGA SF in chemotherapy outpatients was confirmed. The present study however demonstrated that the functional capacity question (box 4) does not improve the overall discriminatory value of the PG-SGA SF.

A novel, automated nutrition screening system as a predictor of nutritional risk in an oncology day treatment unit (ODTU).

PURPOSE: Paper-based nutrition screening tools can be challenging to implement in the ambulatory oncology setting. The aim of this study was to determine the validity of the Malnutrition Screening Tool (MST) and a novel, automated nutrition screening system compared to a 'gold standard' full nutrition assessment using the Patient-Generated Subjective Global Assessment (PG-SGA). METHODS: An observational, cross-sectional study was conducted in an outpatient oncology day treatment unit (ODTU) within an Australian tertiary health service. Eligibility criteria were as follows: ≥ 18 years, receiving outpatient anticancer treatment and English literate. Patients self-administered the MST. A dietitian assessed nutritional status using the PG-SGA, blinded to the MST score. Automated screening system data were extracted from an electronic oncology prescribing system. This system used weight loss over 3 to 6 weeks prior to the most recent weight record or age-categorised body mass index (BMI) to identify nutritional risk. Sensitivity and specificity against PG-SGA (malnutrition) were calculated using contingency tables and receiver operating curves. RESULTS: There were a total of 300 oncology outpatients (51.7% male, 58.6 ± 13.3 years). The area under the curve (AUC) for weight loss alone was 0.69 with a cut-off value of ≥ 1% weight loss yielding 63% sensitivity and 76.7% specificity. MST (score ≥ 2) resulted in 70.6% sensitivity and 69.5% specificity, AUC 0.77. CONCLUSIONS: Both the MST and the automated method fell short of the accepted professional standard for sensitivity (~≥ 80%) derived from the PG-SGA. Further investigation into other automated nutrition screening options and the most appropriate parameters available electronically is warranted to support targeted service provision.