Implemented nutritional intervention algorithm in pediatric oncology compared to standard nutritional supportive care outcomes.

ABSTRACT

AIM: To implement a childhood cancer-specific nutritional algorithm adapted for the South African context for interventions at time-set intervals to evaluate differences in the nutritional status of newly diagnosed children with cancer. METHOD: Children with newly diagnosed cancer were assessed for stunting, underweight, wasting, and moderate to severe malnutrition (MUAC < -2SD and < - 3 SD) between October 2018 and December 2020 in a longitudinal nutritional assessment study with monthly assessments. Two pediatric oncology units (POUs) served as the intervention group that implemented the nutritional algorithm-directed intervention and three other POUs formed the control group that implemented standard supportive nutritional care. RESULTS: A total of 320 patients were enrolled with a median age of 6.1 years (range three months to 15.3 years) and a male-to-female ratio of 1.11. The malnourished patients in the intervention group showed significant improvement at six months after diagnosis for stunting (P = 0.028), underweight (P < 0.001), and wasting until month five (P = 0.014). The improvements in the control group were not significant. Moderate acute malnutrition (MAM) significantly improved over the first six months of cancer treatment in the intervention group (P < 0.001), while MAM improvement was only significant in the control group for the children under five years of age (P = 0.004). The difference in mean z-scores over time for the nutritional parameters between the intervention and control groups was insignificant. CONCLUSION: We established that the nutritional algorithm adapted for South Africa as an intervention tool for childhood cancer assisted in optimizing nutritional interventions and improved nutritional outcomes over the first six months of cancer treatment.