Monitoring Growth of Preterm Infants

Status

Terminated

Phases

Unknown

Study type

Observational

Source

ClinicalTrials.gov

Registry ID

NCT01869153

Enrollment

Registered

2013-06-05

Start date

2013-05-31

Completion date

2018-07-10

Last updated

2018-09-20

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Prematurity

Keywords

Growth, weight

Brief summary

Growth is poor in preterm infants, partly due to difficulty identifying when growth is slow. The investigators will examine the use of a computer program to try and identify periods of growth slowing in preterm babies, and compare those results to the usual assessments made on patient care rounds.

Detailed description

We wish to examine the use of a mathematical modeling system to see if it can detect poor growth better (and more quickly) than we can clinically. To do this, we need to know what the clinical team think about a baby's growth day-to-day. However, after rounds the fellow or NNP with fill in a sheet to say what the team thought about the baby's growth (was it okay, too slow, too fast etc.), and whether any changes were made to improve the baby's growth (e.g. increased feed volume, change in composition of feeds etc.). After the baby is discharged home, weight data from the EMR will be entered into the program to try and identify times where growth slowed (or where growth was faster than expected). We will compare the results of the computer program and the record of the clinical teams thoughts on the ward round, to see if the computer program identified growth slowing more quickly than the clinical team did.

Interventions

None listed

Study design

Observational model

COHORT

Time perspective

OTHER

Eligibility

Sex/Gender

ALL

Healthy volunteers

Inclusion criteria

1. Birth weight \< 1750g gestational age \< 32w at birth

Exclusion criteria

2. Currently receiving parenteral nutrition or intravenous lipids

Design outcomes

Primary

Measure	Time frame	Description
Identification of growth slowing	Between birth and hospital discharge, an average of 10weeks	At time of hospital discharge retrospectively collected data on daily weights (from the EMR) will be entered in to a computer program, to identify times where weight gain slowed significantly. This will be compared to the clinical assessment of the baby's growth made at the time (and recorded prospectively)

Countries

United States

Outcome results