Does a child's mid‐upper arm circumference‐for‐age z ‐score represent another nutritional indicator of childhood malnutrition status?

Malnutrition and Nutrition Support in Latin American PICUs: The Nutrition in PICU (NutriPIC) Study

OBJECTIVES

To characterize the nutritional status of children admitted to Latin American (LA) PICUs and to describe the adequacy of nutrition support in reference to contemporary international recommendations.

DESIGN

The Nutrition in PICU (NutriPIC) study was a combined point-prevalence study of malnutrition carried out on 1 day in 2021 (Monday 8 November) and a retrospective cohort study of adequacy of nutritional support in the week preceding.

SETTING

Four-one PICUs in 13 LA countries.

PATIENTS

Patients already admitted to the PICU of 1 month to 18 years old on the study day were included in the point-prevalence study. For the retrospective arm, we included patients receiving nutritional support on the study day and with a PICU length of stay (LOS) greater than or equal to 72 hours. Exclusion criteria were being a neonate, conditions that precluded accurate anthropometric measurements, and PICU LOS greater than 14 days.

INTERVENTIONS

None.

MEASUREMENTS AND MAIN RESULTS

Of 316 patients screened, 5 did not meet age criteria. There were 191 of 311 patients who were included in the point-prevalence study and underwent anthropometric evaluation. Underweight and length for age less than -2 z scores were present in 42 of 88 children (47.7%) and 41 of 88 children (46.6%) less than 24 months old, and 14 of 103 (13.6%) and (23/103) 22.3% of 103 children greater than or equal to 24 months, respectively. Evidence of obesity (body mass index > 2 z score) was present in 7 of 88 children (5.7%) less than 24 months old and 13 of 103 children (12.6%) greater than or equal to 24 months. In the 115 of 311 patients meeting criteria for the retrospective arm, a total of 98 patients reported complete nutritional data. The 7-day median (interquartile range) adequacy for delivered versus recommended enteral energy and protein requirement was 114% (75, 154) and 99% (60, 133), respectively.

CONCLUSIONS

The NutriPIC study found that in 2021 malnutrition was highly prevalent especially in PICU admissions of less than 24 months old. Retrospectively, the 7-day median nutritional support appears to meet both energy and protein requirements.

Evaluation of malnutrition and screening tools in hospitalized children

BACKGROUND & AIMS

Detecting malnutrition and its related risk factors are crucial, in hospitalized children. Anthropometric z scores are used to assess malnutrition. Screening tools also aim to detect the presence of malnutrition and the developing risk of malnutrition in hospitalized children to determine who may benefit from nutritional support. Therefore, the aims of the study are to detect malnutrition and its related demographic and clinical risk factors in hospitalized children and determining the sensitivity of Screening Tool for the Assessment of Malnutrition in Pediatrics (STAMP) and Pediatric Yorkhill Malnutrition Score (PYMS) screening tools.

METHODS

A total of 130 hospitalized children aged between 0 and 18 years were included in to study. A survey including demographic and clinical characteristics, STAMP and PYMS were applied to parents of the children. Patients were classified into nutritional risk groups through screening tools. Anthropometric measurements (body weight, length/height, and middle upper arm circumference (MUAC) of the children were taken. Body mass index-for-age and height-for-age z scores were calculated to assess acute and chronic malnutrition prevalence. MUAC-for-age z scores were calculated as well. To detect independent risk factors for acute and chronic malnutrition multivariable logistic regression models were constructed.

RESULTS

A total of 14.6% of hospitalized children had acute malnutrition, 21.5% of children had chronic malnutrition and 27.7% of them had low MUAC standard deviation score (SDS) (less than -2). The independent risk factors for acute malnutrition were younger maternal age at birth and long length of stay (p < 0.05). The independent risk factors for chronic malnutrition were being female, younger maternal age at birth, longer illness duration and having urological or allergy and immunological diseases (p < 0.05). However, MUAC for age SDS groups were not related to any demographic and clinical factors, in children of all ages (p > 0.05). Regarding the screening tools, PYMS displayed 100% sensitivity against acute malnutrition. While PYMS displayed better sensitivity to identify acute malnutrition than STAMP, STAMP was more sensitive than PYMS to detect chronic malnutrition and low MUAC SDS.

CONCLUSIONS

Low MUAC for age SDS was not related to any demographic and clinical factors, in hospitalized children of all ages, unlike acute and chronic malnutrition, in this study. Pediatric screening tools mainly PYMS did not have high sensitivity to detect chronic malnutrition and low MUAC SDS, in hospitalized children. Therefore, the tools have to be used along with z scores of anthropometric parameters.

Healthcare Burden Associated with Malnutrition Diagnoses in Hospitalized Children with Critical Illnesses

Our primary study objectives were to (i) determine the proportion of children admitted to the Pediatric Intensive Care Unit (PICU) with malnutrition diagnoses, (ii) compare healthcare utilization by malnourished and non-malnourished PICU patients, and (iii) examine the impact of implementing malnutrition screening and coding practices at a major academic urban tertiary care medical center. Using patient records, we conducted a retrospective analysis of 4106 children admitted to the PICU for severe illnesses between 2011 and 2019. Patients were identified as malnourished if records showed an ICD-9 or ICD-10 code for malnutrition. We compared malnourished and non-malnourished patients by age, admitting diagnoses, number of comorbid conditions, and clinical outcomes (length of stay, hospital readmission). About 1 of every 5 PICU-admitted patients (783/4106) had a malnutrition diagnosis. Patients with malnutrition were younger (mean age 6.2 vs. 6.9 years, p < 0.01) and had more comorbid conditions (14.3 vs. 7.9, p < 0.01) than those without. Malnourished patients had longer hospital stays (26.1 vs. 10.0 days, p < 0.01) and higher 30-day readmission rates (10% vs. 7%, p = 0.03). Implementation of malnutrition screening and coding practices was associated with an increase in malnutrition diagnosis. In this study of children admitted to the PICU, malnourished patients had more comorbid diagnoses and used more healthcare resources (prolonged hospitalizations and higher 30-day readmission rates), leading to higher healthcare costs. Such findings underscore the need for policies, training, and programs emphasizing identification and treatment of malnutrition at hospitals caring for critically ill children.