Abstract
Malnutrition is a common occurrence in cancer. Early detection of malnutrition is imperative but often overlooked in busy clinical routine. This study aimed to assess the agreement between malnutrition universal screening tool (MUST) and the patient-generated subjective global assessment (PG-SGA) to detect risk of malnutrition in a medical oncology outpatient setting. A cross-sectional study was conducted with 100 adult patients with cancer receiving chemotherapy. Nutrition screening and assessment were performed using MUST and PG-SGA, respectively. Sensitivity, specificity, predictive values, kappa agreement, and receiver operating characteristics (ROC) curve were used to compare MUST with PG-SGA. Prevalence of malnutrition or risk of malnutrition among subjects was 45% according to the MUST. Body mass index (BMI) against PG-SGA indicated a low capacity to detect malnutrition with 28.9% sensitivity and 96.4% specificity. Unintentional weight loss in the last 3–6 mo against PG-SGA resulted in 55.6% sensitivity and 98.2% specificity. MUST against PG-SGA resulted in 86.7% sensitivity and 94.5% specificity. MUST indicated a perfect agreement with PG-SGA (Kappa = 0.81; P < 0.05) and highest area under the ROC curve (AUC ROC = 0.91). MUST has high level of agreement with PG-SGA to detect chemotherapy outpatients at risk of malnutrition.
Acknowledgments
The research was carried out at the oncology unit of Kandy Teaching Hospital, Sri Lanka.
We wish to acknowledge Wayamba University of Sri Lanka for the financial support. In addition, the Department of Applied Nutrition, Faculty of Livestock, Fisheries and Nutrition, Wayamba University of Sri Lanka should be acknowledged for facilitating the research project. A special thanking is extended to Dr. A.J. Hilmi, the consultant clinical oncologist and his team at oncology unit of Kandy Teaching Hospital, Sri Lanka for the support given in patient recruitment.
Disclosure Statement
The authors certify that they have no conflict of interests.