First automated malnutrition screen implemented for hospitalized children

Oct. 10, 2018

A team of clinicians, dietitians, and researchers has created an automated program to screen for malnutrition in hospitalized children, providing daily alerts to healthcare providers so they can quickly intervene with appropriate treatment. The malnutrition screen draws on existing patient data in electronic health records (EHR).

“Undernutrition is extremely common in children with cancer—the population we studied in this project,” said study leader Charles A. Phillips, MD, a pediatric oncologist at Children’s Hospital of Philadelphia (CHOP). “There is currently no universal, standardized approach to nutrition screening for children in hospitals, and our project is the first fully automated pediatric malnutrition screen using EHR data.”

Phillips and a multidisciplinary team of fellow oncology clinicians, registered dietitians and quality improvement specialists co-authored a paper published Oct. 5, 2018 in the Journal of Nutrition and Dietetics.

Nutrition evaluation and intervention are crucial for children in inpatient units, because of the importance of nutrition in physical and cognitive development, wound healing, immune function, mortality, and quality of life. Phillips added that although the current study used oncology patients as a test case, the screen can be generalized to other pediatric units and patients with a high prevalence of malnutrition.

The study team analyzed EHR data from inpatients at CHOP’s 54-bed pediatric oncology unit over the period of November 2016 through January 2018, covering approximately 2,100 hospital admissions. The anthropometric measurements in the EHR included height, length, weight and body mass index. The researchers used software to take note of changes in those measurements, and used criteria issued by the Academy of Nutrition and Dietetics and the American Society for Parenteral and Enteral Nutrition, to evaluate each patient’s risk of malnutrition.

For each child that the screening program judged to be at risk, the tool classified the risk as mild, moderate, or severe. It then automatically generated a daily email to hospital clinicians, listing each patient’s name, medical record number, unit, and malnutrition severity level, among other data.

In the patient cohort, the researchers’ automated screen calculated the overall prevalence of malnutrition at 42% for the entire period of study, consistent with the range expected from previous studies (up to about 65% for inpatient pediatric oncology patients). Overall severity levels for malnutrition were 47% in the mild category, 24% moderate and 29% severe; again, consistent with other research and clinical experience.

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