AUTHOR=Chu Liangliang , Liu Xiaoyi , Xu Cuiping TITLE=Eat, Sleep, Console model for neonatal opioid withdrawal syndrome: a meta-analysis JOURNAL=Frontiers in Pediatrics VOLUME=Volume 12 - 2024 YEAR=2024 URL=https://www.frontiersin.org/journals/pediatrics/articles/10.3389/fped.2024.1416383 DOI=10.3389/fped.2024.1416383 ISSN=2296-2360 ABSTRACT=Background

The rising incidence of drug abuse among pregnant women has rendered neonatal opioid withdrawal syndrome a significant global health concern.

Methods

Databases including PubMed, Web of Science, the Cochrane Library, Embase, Elton B. Stephens. Company (EBSCO), China National Knowledge Infrastructure (CNKI), and Wanfang were searched for comparative studies of the Eat, Sleep, Console model vs. traditional assessment tools for neonatal opioid withdrawal syndrome. Two reviewers conducted literature searches, screened according to the inclusion criteria, extracted data, and independently verified accuracy. All meta-analyses were conducted using Review Manager Version 5.4.

Results

In total, 18 studies involving 4,639 neonates were included in the meta-analysis. The Eat, Sleep, Console model demonstrated superior outcomes in assessing neonatal opioid withdrawal syndrome, significantly reducing the need for pharmacological treatment [risk ratio = 0.44, 95% confidence interval (CI) = 0.34–0.56, P < 0.001], decreasing the length of hospital stay [standard mean difference (SMD) = −2.10, 95% CI = −3.43 to −0.78, P = 0.002], and shortening the duration of opioid treatment (SMD = −1.33, 95% CI = −2.22 to −0.45, P = 0.003) compared to the Finnegan Neonatal Abstinence Scoring System.

Conclusions

The Eat, Sleep, Console model is more effective than the Finnegan Neonatal Abstinence Scoring System in improving the assessment and management of neonatal opioid withdrawal syndrome.