Development and Evaluation of a New Infant Nutrition Screening Tool (iNEWS)

October 26, 2017 updated by: Dr Konstantinos Gerasimidis, University of Glasgow

A large number of children experience undernutrition related to or resulting from their illness. The NHS has recently published standards which state that all patients should be screened for undernutrition on admission and periodically during their stay at hospital. Although, recent studies have attempted to develop appropriate nutritional screening tool for children on admission, there is no agreement concerning the most appropriate criteria to be used and they have not been validated for use in infants. The project team have developed a preliminary tool that would be both simple and quick to use in order to identify infants who are either undernourished or at risk of undernutrition on admission and who would benefit from referral for full nutritional assessment by a dietician.

The purpose of this study is establish whether an infant Paediatric Yorkhill Malnutrition Score for infants would be able to distinguish infants who are well-nourished from those undernourished or at risk of undernutrition. The researchers will recruit all newly admitted patients ( 210 infants with low, medium, and high risk of undernutrition) from selected wards at the Royal Hospital for Sick Children Glasgow. The result from the infant screening tool will be compared with the rating using the longer Subjective Global Nutritional Assessment to test the ability of Infant Screening Tool to identify infants at high risk of malnutrition. The researcher will also measure the fat store using skinfolds and will compare the results among those rated high or low risk by the new tool. Finally, the utility of iPYMS score, growth trajectory, body mass index and behaviour questionnaire as predictors of low adiposity and stunting will be compared.

Study Overview

Detailed Description

Subjects Participant of the study will be all patients newly admitted to selected wards at the Royal Hospital for Sick Children (and possibly RAH Paisley). An average of 8 patients per day are admitted to the relevant wards and this study will aim to recruit a total of 200 over a 4 month period, after an initial pilot with up to 20 patients.

Recruitment The researcher will identify those patients eligible for screening by visiting the wards. The researcher will give an information leaflet to the patient's carer to introduce and explain the study. The researcher will allow plenty at least an hour for them to consider the study. The researcher will then approach the family and answer any questions. If the carer is happy to participate, the researcher will ask him/her to complete a consent form. A copy of the consent form will be given to the carers and another will be placed in the child's medical notes. The researcher will first complete the iPYMS scoring sheet for each child Discriminant validity will then be tested using body composition measurement using triceps (TSF) and subscapular skinfold thickness and the mid upper arm circumference (MUAC) and SGNA (Subjective Global Nutritional Assessment). To test the concurrent validity, the results from the infant screening tool will be compared with the results of STRONG kids (Screening Tool Risk on Nutritional Status and Grow).

Global Nutritional Assessment for infants (SGNA) The researcher will ask the main carers of patients to complete the eating behavior questionnaire about the infant's diet (type of milk. supplementary feeding and weaning diet), weight loss (poor weight gain), gastrointestinal symptoms,and daily activity. A rough visual assessment of the child's muscle stores and fat will be carried out by the researcher. This is a global nutritional assessment procedure recently validated in paediatric patients (Secker & Jeejeebhoy, 2007). The researcher will extract equivalent items for SGNA about the child's food intake, diarrhoea, vomiting, weight loss or poor weight gain or no weight gain, during the few days before admission. An observational assessment of patients will be also carried out by the researcher in terms of diminished subcutaneous fat, muscle mass and hollow face (subjective clinical assessment the same as d). In addition, the researcher will use information recorded in the medical notes of the patient to assess patients' underlying illness with a risk of malnutrition (Anorexia nervosa, Celiac disease, Cystic fibrosis, cardiac disease, and trauma).

Infant EBQ This questionnaire has been developed using population data from a cohort study and is designed to identify infants at risk of weight faltering. This will be completed by the main carers of patients to assess the patient's general appetite and eating behaviour.

Bioelectrical impedance (BIA) This has been developed for assessment of nutritional status in children based on indices of lean and fat adjusted for body size. This study will explore whether this method is practical and effective in this young age range and how it relates to nutrition score.

Length of hospital stay as a secondary outcome will also be collected from hospital admissions statistics or through the notes. Patients' birth weight will be collected by the maternal report in order to calculate weight trajectory

Power Calculation 70 subjects in each group gives 80% power to detect a difference of 0.5 SD in any of the measures between any two of the groups. This study thus aim to recruit 210-250 subjects.

Analysis The data will be used to test the utility of PYMS score, growth trajectory, body mass index and behaviour questionnaire as predictors of low adiposity and stunting.

Study Type

Observational

Enrollment (Anticipated)

250

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Contact

Study Contact Backup

Study Locations

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

No older than 1 year (Child)

Accepts Healthy Volunteers

No

Genders Eligible for Study

All

Sampling Method

Non-Probability Sample

Study Population

Participant of the study will be all patients newly admitted to selected wards (medical and general surgical wards) at the Royal Hospital for Sick Children. An average of 8 patients per day are admitted to the relevant wards and we will aim to recruit a total of 250. Children aged 1 -12 months are the subjects of this study as the purpose of this study is to develop a screening tool for infants.

Description

Inclusion Criteria:

- All infant patients admitted to hospital overnight or longer on medical and general surgical wards

Exclusion Criteria:

  • Patients in the short stay ward, intensive care or high dependency unit, oncology unit, critical care and cardiology
  • Patients who have been transferred from neonatal units and critical care

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

  • Observational Models: Case-Only
  • Time Perspectives: Cross-Sectional

Cohorts and Interventions

Group / Cohort
Intervention / Treatment
Patients
all infants admitted for care
screening of disease associated malnutrition in sick infants

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Mean skinfold z-score
Time Frame: baseline
The average of triceps (TSF) and subscapular skinfold thickness z-scores (SD) will be calculated as a measure of current nutritional status
baseline

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Hospital Stay
Time Frame: The period in days from the date of hospital admission until the date of hospital discharge, assessed up to 100 days
Length of Hospital Stay
The period in days from the date of hospital admission until the date of hospital discharge, assessed up to 100 days
Global Nutritional Assessment
Time Frame: baseline
Global Nutritional Assessment for infants (Subjective Global Nutritional Assessment) as a measure of current and future nutrition risk (well-nourished, moderately malnourished, or severely malnourished).
baseline

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Publications and helpful links

The person responsible for entering information about the study voluntarily provides these publications. These may be about anything related to the study.

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Actual)

October 1, 2010

Primary Completion (Anticipated)

November 30, 2017

Study Completion (Anticipated)

November 30, 2017

Study Registration Dates

First Submitted

October 18, 2017

First Submitted That Met QC Criteria

October 26, 2017

First Posted (Actual)

October 27, 2017

Study Record Updates

Last Update Posted (Actual)

October 27, 2017

Last Update Submitted That Met QC Criteria

October 26, 2017

Last Verified

October 1, 2017

More Information

Terms related to this study

Additional Relevant MeSH Terms

Other Study ID Numbers

  • 10/S0709/45

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

No

IPD Plan Description

not allowed from the IPR approval to share data with third parties

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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