Body Temperature in Preterm Neonates: Creating a Data Model
NCT07176364 · Status: COMPLETED · Type: OBSERVATIONAL · Enrollment: 300
Last updated 2025-09-16
Summary
The aim of this study is to examine the relationship between the characteristics, medical history, interventions performed within the first six hours, and follow-up findings of preterm newborns receiving respiratory support and their body temperature. In this context, the aim was to establish a basic data model that would contribute to the optimization of practices aimed at maintaining thermoregulation in newborns receiving respiratory support.
H1: The characteristics, medical history, and variables related to the interventions performed in preterm newborns receiving respiratory support have a statistically significant relationship with body temperature.
H2: The developed data model can accurately and meaningfully predict the relationship between the characteristics, medical history, and interventions affecting body temperature in preterm newborns receiving respiratory support.
Conditions
- Temperature
- Preterm
Sponsors & Collaborators
-
Acibadem University
lead OTHER
Principal Investigators
-
Zehra Kan Öntürk, Assoc. Prof. · Acibadem University
Eligibility
- Min Age
- 1 Day
- Max Age
- 28 Days
- Sex
- ALL
- Healthy Volunteers
- Yes
Timeline & Regulatory
- Start
- 2025-04-14
- Primary Completion
- 2025-05-09
- Completion
- 2025-05-09
Countries
- Turkey (Türkiye)
Study Locations
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