Prediction model for nonopiate‐induced neonatal abstinence syndrome

• Published in: Pediatrics international 2023-01, Vol.65 (1), p.e15435-n/a
• Main Authors: Morimoto, Daisaku, Washio, Yosuke, Sato, Takeshi, Okamura, Tomoka, Watanabe, Hirokazu, Yoshimoto, Junko, Tsukahara, Hirokazu
• Format: Article
• Language: English
• Subjects: antidepressive agent; antipsychotic agent; Antipsychotic Agents - therapeutic use; Antipsychotics; Apgar score; Female; Humans; hypnotic agent; Hypnotics; Hypnotics and Sedatives - adverse effects; Infant; infant health; Infant, Newborn; Infants; Mothers - psychology; Neonatal abstinence syndrome; Neonatal Abstinence Syndrome - diagnosis; Neonatal Abstinence Syndrome - drug therapy; Neonatal Abstinence Syndrome - etiology; Neonates; Pediatrics; Prediction models; Regression analysis; Retrospective Studies; Statistical analysis
• ISSN: 1328-8067; 1442-200X
• DOI: 10.1111/ped.15435

Background Neonatal abstinence syndrome (NAS) induced by opiate use is common worldwide. Psychiatric drugs are a more common cause of NAS in Japan but infants of mothers taking psychiatric medications do not always develop NAS. The purpose of this study was to develop a practical model for predicting the onset of nonopiate‐induced NAS, using variables available at birth. Methods In this diagnostic study, prediction models were developed using multivariable logistic regression with retrospective data collected at our hospital between 2010 and 2019. The NAS diagnosis was based on the Isobe score, and maternal medications were converted to dose equivalents. Results A total of 164 maternal and infant dyads met the inclusion criteria; 91 were included in the analysis, of whom 29 infants (32%) were diagnosed with NAS. Final models were created with and without the drug indices. The model without the drug indices consisted of neonatal head circumference in z‐scores and Apgar scores at 5 min