There has been a striking increase in rates of opioid use in
pregnant women and in neonatal abstinence syndrome (NAS) in their infants in
the United States and Canada. NAS is a drug withdrawal syndrome that most
commonly manifests from in utero opioid exposure and affects the neonate’s
postnatal life adaptation in critical areas of sleep, feeding, and autonomic
function. NAS incidence rose from 1.20 to 3.39
per 1,000 American live-births from 2000 to 2009, and from 0.28 to 4.29 per
1000 Canadian live-births from 1992 to 2011.Total hospital charges for NAS grew
from $190 to $720 million United States during this period. Significant
increases in the rate of neonatal intensive care unit admissions for NAS, the
median length of neonatal hospitalization for NAS, and neonatal receipt of
pharmacotherapy for NAS in the Unites States from 2004 to 2014 were recently
observed.
Studies have attributed this increase in NAS to rising rates
of opioid addiction in pregnant women.Some cohort studies and randomized
controlled trials (RCTs) have observed decreased NAS severity, lower risk of
NAS treatment, and higher gestational age at birth , birth weight, body length
and head circumference in buprenorphine
vs. methadone exposed neonates. Evidence, however, is subject to bias from
study drop out in RCTs and by confounding in cohort studies . A meta-analysis
showed that confounding may account for some of the protective effect of
buprenorphine vs. methadone on NAS severity, and that limited data on
confounding of the comparative safety of buprenorphine vs. methadone on NAS are
available.
Consequently, when the regression model is unadjusted for an
important confounder-such as an important difference in clinical profile—the
estimated measure of effect (i.e., risk ratio, mean difference) is a mix of the
effect of prenatal opioid agonist exposure on NAS and the confounder effect on
NAS. Confounding can attenuate, increase, or reverse the true effect of
prenatal opioid exposure to buprenorphine vs. methadone on neonatal outcomes.
The impact of confounding depends on the strength of the relationships between
the confounder and the exposure, the confounder and the outcome, and the
prevalence of the confounder.

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