Description Module

Description Module

The Description Module contains narrative descriptions of the clinical trial, including a brief summary and detailed description. These descriptions provide important information about the study's purpose, methodology, and key details in language accessible to both researchers and the general public.

Description Module path is as follows:

Study -> Protocol Section -> Description Module

Description Module


Ignite Creation Date: 2025-12-24 @ 6:37 PM
Ignite Modification Date: 2025-12-24 @ 6:37 PM
NCT ID: NCT01643057
Brief Summary: The purpose of this study is to explore physiological interventions and biomarkers for Apnea of Prematurity in newborn infants.
Detailed Description: Apnea of prematurity is defined as cessation of breathing that lasts for more than 20 seconds and/or is accompanied by oxygen desaturation or a decrease in heart rate (bradycardia). Because apnea presents itself within a variety of diseases in newborns, its diagnosis is based largely on the exclusion of other findings. The difficulty in relating the manifestation of apnea to its cause can lead to issues regarding appropriate medical management and delays in treatment. Our exploration of physiological interventions for Apnea of Prematurity begins with stochastic resonance. Stochastic resonance is the introduction of noise to a system, to alter the system's behavior. This technology has been examined in previous medical applications. The hypothesis for this work is that stochastic resonance stimulation, in the form of gentle vibrations, will stabilize immature breathing patterns in infants. In this research study, we will use an apnea mattress developed by engineers at the Wyss Institute, Harvard University, which provides gentle vibrations to the infant. We will closely follow the research protocol from UMass Medical School. Whilst the infant is on the mattress, clinical care data will be collected to determine effect on breathing patterns. We also hope to collect enough baseline and intervention data signals to be able to identify candidate biomarkers for apnea. This will assist in development of predictive algorithms for apnea in infants.
Study: NCT01643057
Study Brief:
Protocol Section: NCT01643057