Racial differences in opioid withdrawal syndrome among neonates with intrauterine opioid exposure

Performance of Phenotype Algorithms for the Identification of Opioid-Exposed Infants

OBJECTIVE

Observational studies examining outcomes among opioid-exposed infants are limited by phenotype algorithms that may under identify opioid-exposed infants without neonatal opioid withdrawal syndrome (NOWS). We developed and validated the performance of different phenotype algorithms to identify opioid-exposed infants using electronic health record data.

METHODS

We developed phenotype algorithms for the identification of opioid-exposed infants among a population of birthing person-infant dyads from an academic health care system (2010-2022). We derived phenotype algorithms from combinations of 6 unique indicators of in utero opioid exposure, including those from the infant record (NOWS or opioid-exposure diagnosis, positive toxicology) and birthing person record (opioid use disorder diagnosis, opioid drug exposure record, opioid listed on medication reconciliation, positive toxicology). We determined the positive predictive value (PPV) and 95% confidence interval for each phenotype algorithm using medical record review as the gold standard.

RESULTS

Among 41 047 dyads meeting exclusion criteria, we identified 1558 infants (3.80%) with evidence of at least 1 indicator for opioid exposure and 32 (0.08%) meeting all 6 indicators of the phenotype algorithm. Among the sample of dyads randomly selected for review (n = 600), the PPV for the phenotype requiring only a single indicator was 95.4% (confidence interval: 93.3-96.8) with varying PPVs for the other phenotype algorithms derived from a combination of infant and birthing person indicators (PPV range: 95.4-100.0).

CONCLUSIONS

Opioid-exposed infants can be accurately identified using electronic health record data. Our publicly available phenotype algorithms can be used to conduct research examining outcomes among opioid-exposed infants with and without NOWS.

Implicit Racial Bias in Evaluation of Neonatal Opioid Withdrawal Syndrome

OBJECTIVE

To assess implicit bias by administrating the Modified Finnegan Score (MFS) for quantifying neonatal opioid withdrawal and to evaluate risk of decreased opioid treatment of Black versus White infants.

STUDY DESIGN

Study participants were nurses recruited from a large tertiary care center who received three clinical vignettes portraying withdrawing infants and were randomized to receive an accompanying photo of either a Black or White infant. MFS results were compared for identical vignettes based on race of infant photo.

RESULTS

Out of 275 nurses, 70 completed the survey. In vignette 2, nurses aged ≤35 years scored Black infants lower than White infants (MFS=8.3 ± 2 vs. 9.5 ± 1.2, p=0.012). Nurses with <5 years of experience and ≤10 years of experience also scored Black infants lower for the same vignette (8.2 ± 2.3 vs. 9.6 ± 1.2, p=0.032 and 8.3 ± 2 vs. 9.5 ± 1.2, p=0.0083).

CONCLUSION

Implicit bias may contribute to the difference in opioid treatment.

A case-control study comparing rates and diagnoses of hospital readmission in infants affected by neonatal abstinence syndrome

OBJECTIVE

Rates of neonatal abstinence syndrome/neonatal opioid withdrawal syndrome (NAS/NOWS), a withdrawal syndrome from opioids and other substances resulting from intrauterine exposure, have been increasing exponentially in the U.S. To improve health outcomes, it is important to understand population health risks, including rehospitalization and related diagnoses, using current data. This study will compare and describe the rates of rehospitalization, the demographic characteristics and the rehospitalization diagnoses and age at diagnosis between the infants affected by NAS/NOWS to those sampled who were unaffected. This study will also describe the frequency of NAS/NOWS births per year along with a yearly comparison of readmissions in those affected by NAS/NOWS to those who were not (2016-2020).

METHODS

Health claims data were used to conduct a case/control study. Diagnosis codes for neonatal withdrawal syndrome/NAS/NOWS (P04.49 or P96.1 and P96.1 alone) from 1 October 2015 to 1 June 2021 were extracted, and controls were case-matched based on month/year of birth. Rehospitalizations following birth and the related diagnoses were described and grouped using the Agency of Healthcare Research Quality Clinical Classifications Software Refined Frequency distribution. The chi-square test of association and generalized estimating equation modeling were used for data analysis.

RESULTS

Infants affected by NAS/NOWS are 2.7 times more likely to have a rehospitalization. White, non-Hispanic neonates (OR = 1.5; p = .007) and those infants residing in rural areas (OR = 1.9; p < .001) were disproportionately affected. We identified a host of admission diagnoses with increased prevalence in infants affected by NAS/NOWS when compared to those who were not affected (e.g. infectious diseases, feeding disorders).

CONCLUSIONS

Infants with NAS/NOWS are at increased risk of rehospitalization with a host of diagnoses, and specific demographic groups (White, rural) are more highly affected.

Comparing maternal substance use and perinatal outcomes before and during the COVID-19 pandemic

OBJECTIVE

To examine the effect of the COVID-19 pandemic on maternal substance abuse and neonatal outcomes.

STUDY DESIGN

Cross-sectional observational study of neonates admitted to the NICU and born to mothers with evidence of substance abuse pre-pandemic compared to during the COVID-19 pandemic.

RESULT

We noted a significant increase in fentanyl (12% vs. 0.6%, p < 0.001) and tobacco use (64% vs. 33%, p < 0.001) during the pandemic compared to pre-pandemic, including an increase in fentanyl use among mothers enrolled in opioid maintenance therapy (OMT) during the pandemic (32.3% vs. 1.5%, p < 0.001). There was a significant increase in preterm births (58% vs. 48%, p = 0.022) and lower birth weight (2315 ± 815 vs. 2455 ± 861 g, p = 0.049) during pandemic.

CONCLUSION

There was a significant increase in maternal fentanyl use during the pandemic, even with OMT enrollment, with an increase in preterm births and lower birth weights among infants born to mothers with substance use.