The incidences of maternal opioid use and neonatal opioid withdrawal syndrome (NOWS) have increased by nearly 400% over the past decade. Isemann and colleagues (2017) developed prediction tools (TiTE/TiTE2) to differentiate, within the first two days of life, between infants who will require pharmacotherapy for NOWS from those infants who will not require pharmacotherapy for NOWS. The goal of the current experiment was to replicate and extend their prediction model. The present experiments successfully replicated Isemann et al., (2017) results and also established alternative cutoff values for requiring treatment that provide better balance between all four metrics. Moreover, new prediction models (TEN/TEN2) were proposed based on a factor analysis of modified Finnegan scores across the first 48 hours of life. Area Under the Curve-Receiver Operating Characteristic curve analyses indicated that the TEN2 was the best prediction model compared to the TiTE2 and the TEN.
| Identifer | oai:union.ndltd.org:ETSU/oai:dc.etsu.edu:etd-5244 |
| Date | 01 May 2020 |
| Creators | Parrish, Loni |
| Publisher | Digital Commons @ East Tennessee State University |
| Source Sets | East Tennessee State University |
| Language | English |
| Detected Language | English |
| Type | text |
| Format | application/pdf |
| Source | Electronic Theses and Dissertations |
| Rights | Copyright by the authors. |
Page generated in 0.0019 seconds