Performance of subjective global nutritional assessment in predicting clinical outcomes: Data from the Brazilian survey of pediatric oncology nutrition

Post-discharge complications and hospital readmissions are associated with nutritional risk and malnutrition status in a cohort of Canadian pediatric patients

BACKGROUND

This study constitutes a secondary analysis of a prospective cohort aiming to evaluate the potential correlation between nutritional risk and status at admission with the occurrence of post-discharge complications and hospital readmissions in children receiving care at high resource Centres.

METHODS

Data was collected from 5 Canadian tertiary pediatric Centers between 2012 and 2016. Nutritional risk and status were evaluated at hospital admission with validated tools (STRONGkids and Subjective Global Nutrition Assessment [SGNA]) and anthropometric measurements. Thirty days after discharge, occurrence of post-discharge complications and hospital readmission were documented.

RESULTS

A total of 360 participants were included in the study (median age, 6.1 years; median length of stay, 5 days). Following discharge, 24.1% experienced complications and 19.5% were readmitted to the hospital. The odds of experiencing complications were nearly tripled for participants with a high nutritional risk compared to a low risk (OR = 2.85; 95% CI [1.08-7.54]; P = 0.035) and those whose caregivers reported having a poor compared to a good appetite (OR = 2.96; 95% CI [1.59-5.50]; P < 0.001). According to SGNA, patients identified as malnourished had significantly higher odds of complications (OR, 1.92; 95% CI, 1.15-3.20; P = 0.013) and hospital readmission (OR, 1.95; 95% CI, 1.12-3.39; P = 0.017) than to those well-nourished.

CONCLUSIONS

This study showed that complications and readmission post-discharge are common, and these are more likely to occur in malnourished children compared to their well-nourished counterparts. Enhancing nutritional care during admission, at discharge and in the community may be an area for future outcome optimization.

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.