METHODS: NPC patients were recruited in this cross-sectional study, and they were divided into well-nourished and malnourished groups according to the Global Leadership Initiative on Malnutrition (GLIM). Potential risk factors were initially screened using univariate analysis (p
Methods: A cross-sectional study was carried out in two general paediatric wards in a public hospital. SGNA and STAMP were performed on 82 children (52 boys and 30 girls) of age 1-7 years. The scores from both methods were compared against Academy of Nutrition and Dietetics/American Society of Parental and Enteral Nutrition Consensus Statement for identification of paediatric malnutrition. The objective measurements include anthropometry (weight, height and mid-arm circumference), dietary intake and biochemical markers (C-reactive protein, total lymphocytes and serum albumin). Kappa agreement between methods, sensitivity, specificity and cross-classification were computed.
Results: SGNA and STAMP identified 45% and 79% of the children to be at risk of malnutrition, respectively. Using a compendium of objective parameters, 46% of the children were confirmed to be malnourished. The agreement between SGNA and objective measurements (k = 0.337) was stronger than between STAMP and objective measurements (k = 0.052) in evaluating the nutritional status of hospitalized children. SGNA also has a 4-fold higher specificity (70.45%) than STAMP (18.18%) in detecting children who are malnourished.
Conclusion: SGNA is a valid nutrition assessment tool in diagnosing malnutrition status among hospitalized children in Malaysia. The discrepancy in specificity values between the two methods explains the distinguished roles between SGNA and STAMP. The use of STAMP will have to be followed up with a more valid tool such as SGNA to verify the actual nutrition status of the paediatric population.
METHODS: This is a prospective observational study involving patients from the orthopaedic oncology unit who were undergoing surgery. They were assessed with Patient Generated Subjective Global Assessment (PG-SGA), Malnutrition Screening Tool (MST) and 3-minute Nutritional Screening (3MinNS) questionnaires. Anthropometric data such as body mass index, mid upper arm circumference (MUAC) and blood parameters such as serum albumin, total lymphocyte count and haemoglobin were also investigated. Patients were then followed up for 3 months. Post-operative complications were divided into infectious and non-infectious groups. Length of stay and unplanned readmission were also documented.
RESULTS: Prevalence of malnutrition ranged from 13.3% to 45.8% under different nutritional assessment methods. Patients who were determined as malnourished were significantly associated with both infectious and non-infectious post-operative complications ( p < 0.001). PG-SGA and 3MinNS values were also significant in univariate and multivariate analysis, respectively. Low serum albumin (<35 g/L) was associated with post-operative infectious complications, especially surgical site infection ( p < 0.001), prolonged hospital stay ( p = 0.009) and unplanned readmission ( p = 0.017). 3MinNS and Charlson Comorbidity Index were predictive of non-infectious complications, whereas serum albumin and the presence of metastasis were predictive of infectious complications.
CONCLUSION: This pilot study of patients with soft tissue and bone sarcoma of upper and lower limbs showed that malnutrition is a significant independent factor related to infectious and non-infectious complications which leads to unplanned readmission and prolonged length of stay. Periodic screening using the PG-SGA or 3MinNS questionnaires, MUAC and evaluation of serum albumin levels is recommended during clinic session and pre-surgery assessment rounds to identify those predisposed to malnutrition and help in reducing incidence of post-operative complications.