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. Author manuscript; available in PMC: 2023 Jul 24.
Published in final edited form as: Drug Saf. 2023 Jan 16;46(3):257–271. doi: 10.1007/s40264-022-01267-z

Comparative Safety Analysis of Opioid Agonist Treatment in Pregnant Women with Opioid Use Disorder: A population-based study

Shuang Wang 1, Kimford J Meador 2, Jayne Pawasauskas 1, Adam K Lewkowitz 3, Kristina E Ward 1, Todd N Brothers 1, Abraham Hartzema 4, Brian J Quilliam 5, Xuerong Wen 1
PMCID: PMC10363992  NIHMSID: NIHMS1915516  PMID: 36642778

Abstract

INTRODUCTION

Receipt of opioid agonist treatment (OAT) during early and late pregnancy for opioid use disorder (OUD) may relate to varying perinatal risks.

METHODS

We conducted a retrospective cohort study of pregnant women with OUD to examine the effect of time-varying prenatal OAT exposure using buprenorphine or methadone on adverse neonatal and pregnancy outcomes, using Rhode Island Medicaid claims data and vital statistics during 2008-2016. Time-varying exposure was evaluated in early (0-20-weeks) and late (≥21-weeks) pregnancy. Marginal structural models with inverse-probability-treatment-weighting were applied.

RESULTS

Of 400 eligible pregnancies, 85 and 137 individuals received buprenorphine and methadone, respectively, during early pregnancy. Compared with 152 untreated OUD pregnancies, methadone exposure in both periods was associated with an increased risk of preterm birth (aOR: 2.52; 95%CI: 1.07-5.95), low birth weight (aOR: 2.99; 95%CI: 1.34-6.66), neonatal intensive care unit admission (aOR, 5.04; 95%CI: 2.49-10.21), neonatal abstinence syndrome (NAS; aOR: 11.36; 95%CI: 5.65-22.82), respiratory symptoms (aOR, 2.71; 95%CI: 1.17-6.24), and maternal hospital stay >7 days (aOR, 14.51; 95%CI: 7.23-29.12). Similar patterns emerged for buprenorphine regarding NAS (aOR: 10.27; 95%CI: 4.91-21.47) and extended maternal hospital stay (aOR: 3.84; 95%CI: 1.83-8.07). However, differences were found favoring use of buprenorphine for preterm birth versus untreated pregnancies (aOR: 0.17; 95%CI: 0.04-0.77), and for several outcomes versus methadone.

CONCLUSIONS

Methadone and buprenorphine prescribed for the treatment of OUD during pregnancy are associated with varying perinatal risks. However, buprenorphine may be preferred in the setting of pregnancy OAT. Further research is necessary to confirm our findings and minimize residual confounding.

Keywords: OAT, OUD, Methadone, Buprenorphine

1. INTRODUCTION

Methadone and buprenorphine are commonly prescribed opioid agonist treatments (OAT) used for the treatment of opioid use disorder (OUD) with different pharmacological profiles.1 Both have well-established benefits to minimize withdrawal symptoms and fatal overdose while encouraging adequate prenatal care among pregnant opioid-dependent individuals.24 Comparative effects and safety of methadone or buprenorphine have been evaluated and are routinely accepted for use in pregnant women. However, conflicting findings regarding the associations between OATs and pregnancy and infant outcomes have been reported in the literature. Data based on multiple randomized controlled trials and a few observational studies suggested improved outcomes are associated with buprenorphine in regard to fetal heartbeat suppression and reactivity,5,6 gestational age,7,8 birth weight,8,9 head circumference,9 incidences of neonatal abstinence syndrome (NAS),10 the length of treatment for NAS,8,11 and neonatal hospital stay compared to methadone.3,10,11 In contrast, other studies using real-world data suggest non-inferiority of methadone.1214

Despite adhering to standards of care with either opiate agonist,2,3 safety of their use for pregnant women and birth outcomes has yet to be evaluated comparing OAT treated pregnancies to untreated. Additionally, timing of OAT use in (early or late) pregnancy has rarely been examined. Hence, this study aims to utilize Rhode Island (RI) Medicaid data linked to vital statistics to examine the association of neonatal and pregnancy outcomes with time-varying prenatal exposure to OAT using either buprenorphine or methadone when compared to untreated OUD pregnancies.

2. METHODS

2.1. Data source:

We conducted a retrospective cohort study using the RI Medicaid administrative claims database pertaining to mothers and newborns linked to vital statistics between 2008 and 2016, provided by the RI Department of Health (DOH) and the RI Executive Office of Health & Human Services. Linkage between mothers and their offspring at the pregnancy level was provided along with the provision of the linked data. Medicaid claims database contains the eligibility files, pharmacy and medical claims. Vital statistics include information on neonatal and pregnancy characteristics (e.g., date of delivery and ultrasound-based estimation of gestational age). The beginning of pregnancy was estimated by subtracting ultrasound-based estimates of gestational age from date of delivery. This study was approved and granted a waiver of informed consent by the Institutional Review Board of The University of Rhode Island (IRB 1289357-4) and the Rhode Island Department of Health (IRB#: 2019-11).

2.2. Cohort Definition:

The initial cohort included women 12 to 55 years of age who had live births between January 1, 2008, to December 31, 2016, and had continuous Medicaid enrollment from 3 months prior to date of conception until 30 days postpartum. Women included into the final study cohort were required to have ≥1 medical claim indicating OUD or opioid dependence from 3 months prior to pregnancy until delivery (Supplementary materials eFigure 1). The operational definition of OUD using a claims database is provided in Supplementary materials eTable 1.

2.3. Exposures:

Exposure to methadone prescribed for OUD was determined using inpatient or outpatient medical claims coded by the International Classification of Disease, Ninth or Tenth Revision, Current Procedural Terminology, 4th Edition (CPT) and the Health Common Procedure Coding System (HCPCS) codes (H0020, J1230).15 To determine exposure to FDA-approved buprenorphine maintenance treatment for OUD, we included generic and brand names (containing buprenorphine hydrochloride, buprenorphine-naloxone, Suboxone®, Subutex®, Zubsolv®, Sublocade®, and Bunavail®) based on pharmacy claims and verified by cross-referencing the data with National Drug Codes (NDC) for each product.16 Starting from date of conception, exposure was time-dependent and re-evaluated in two gestational periods, early (0-20 gestational weeks) and late pregnancy (21 gestational weeks to delivery). In a given gestational period, pregnancies with at least one dispensation of buprenorphine indicated for OUD were defined as exposed to buprenorphine, and those with at least one medical claim indicative of administration of methadone for OUD were defined as exposed to methadone. 5/3/23 6:53:00 AMPregnancies with potential for receiving both buprenorphine and methadone within any specified gestational period (i.e., early or late in pregnancy; n=14) were excluded, while those that switched OAT treatments during different gestational periods were captured. Pregnancies that did not receive OAT were defined as the untreated group. As a result, there were three possible values for early and late exposure: untreated, buprenorphine, and methadone (Supplementary material eTable 2). The treatment pattern of using OATs for OUD is illustrated using a Sankey plot (Supplementary material eFigure 2).

2.4. Outcomes:

Outcomes comprised adverse neonatal and pregnancy outcomes that were evaluated from date of delivery up to 30 days postpartum. Adverse neonatal outcomes were preterm birth (<37 weeks), low birth weight (<2500g), small for gestational age (SGA), feeding difficulties, respiratory symptoms (i.e., respiratory distress syndrome and transient tachypnea of newborn) after birth, neonatal intensive care unit admission (NICUa), and NAS. Adverse pregnancy outcomes included caesarean delivery, preeclampsia or eclampsia, postpartum hemorrhage, and extended length of maternal hospital stay (>7 days). Outcomes were defined using data obtained from RI vital statistics or inpatient and outpatient medical claims pertaining to mothers or their offspring within 30 days after birth,17 coded by International Classification of Disease, Ninth or Tenth Revision, Clinical Modification (ICD-9/10-CM) diagnostic and procedural codes (operational definitions are provided in Supplementary material eTable 3).

2.5. Covariates:

Based on subject matter knowledge and literature review,18,19 baseline time-invariant covariates and time-varying covariates at baseline and during pregnancy were identified using ICD-9/10 diagnostic and procedural codes and vital statistics data. Baseline covariates included demographic information (i.e., maternal age (categorical), race, and year of birth [<2012 or ≥2012]), multifetal gestation, and preexisting comorbidities (including depression, anxiety/post-traumatic stress disorder [PTSD]).18,19 Numbers of outpatient visits and inpatient visits at baseline were also accounted for as proxies for disease burden and access to healthcare resources prior to pregnancy. Time-varying covariates comprised (i) concomitant use of opioid analgesics indicative of pain management, antidepressants, benzodiazepine, and anticonvulsants,20,21 (ii) tobacco, alcohol, and nonopioid substance (including marijuana, hallucinogen, sedative, hypnotic, anxiolytic, or cocaine) abuse or dependence, and (iii) indicators of severity of OUD or addiction which includes hepatitis C virus infection (HCV), opioid overdose, and injection drug use related infection.22,23 Time-varying covariates were updated at baseline and both early and late in pregnancy. Infant gender was accounted for in the analysis of neonatal outcomes. A list of selected confounding variables is presented in Table 1.

Table 1.

Selected baseline and time-varying characteristics of buprenorphine-treated, methadone-treated, and untreated pregnancies with opioid use disorder (OUD).

Exposure early in pregnancy (0-20 gestational weeks)a,b Exposure late in pregnancy (>20 gestational weeks)a,b
Characteristics Untreated (N=178) Buprenorphine (N=85) Methadone (N=137) p-value Untreated (N=184) Buprenorphine (N=72) Methadone (N=144) p-value
Maternal Age, years (mean, SD) 28.04 (5.26) 30.01 (5.31) 29.64 (4.32) 0.002 28.18 (5.50) 30.18 (4.80) 29.48 (4.34) 0.0060
Maternal Age, years (n, %)
 <20 <11 <11 <11 <.0001 <11 <11 <11 0.0373
 20-34 141 (79.21) 59 (69.41) 113 (82.48) 143 (77.72) 52 (72.22) 118 (81.94)
 >34 30 (16.85) 24 (28.24) 22 (16.06) 32 (17.39) 20 (27.78) 24 (16.67)
Race, (n, %)
 Black 15 (8.43) <11 <11 <.0001 14 (7.61) <11 <11 <.0001
 Other 32 (17.98) <11 23 (16.79) 36 (19.57) <11 22 (15.28)
 White 131 (73.60) 72 (84.71) 109 (79.56) 134 (72.83) 62 (86.11) 116 (80.56)
Birth year, (n, %)
 2008-2011 63 (35.39) 13 (15.29) 40 (29.20) 0.0035 70 (38.04) <11 40 (27.78) <.0001
 2012-2016 115 (64.61) 72 (84.71) 97 (70.80) 0.0035 114 (61.96) 66 (91.67) 104 (72.22) <0.001
Multifetal gestation, (n, %) <11 <11 <11 0.1098 <11 <11 <11 0.0137
Infant gender, boy (n, %) 85 (47.75) 44 (51.76) 67 (48.91) 0.8506 89 (48.37) 35 (48.61) 72 (50.00) 0.9554
Pre-existing comorbidities, (n, %)
 Depression 56 (31.46) 31 (36.47) 32 (23.36) 0.0923 60 (32.61) 24 (33.33) 35 (24.31) 0.2015
 Anxiety/PTSD 62 (34.83) 32 (37.65) 38 (27.74) 0.2446 65 (35.33) 27 (37.50) 40 (27.78) 0.2362
Healthcare resource utilization at baseline, (n, %)
 Number of outpatient visits (all-cause), (mean, SD) 13.15 (18.69) 12.25 (9.05) 54.23 (80.26) <.0001 12.93 (15.23) 12.65 (9.17) 52.22 (79.67) <.0001
 Number of inpatient visits (all-cause), (mean, SD) 1.09 (2.14) 2.61 (3.89) 2.01 (3.14) <.0001 1.04 (1.85) 2.89 (4.23) 2.03 (3.22) <.0001
Use of substances at 3-month baseline, (n, %)
 Tobacco use disorder/abuse 20 (11.24) 11 (12.94) 20 (14.60) 0.6735 19 (10.33) 11 (15.28) 21 (14.58) 0.4024
 Alcohol use disorder/abuse 14 (7.87) <11 <11 0.0234 14 (7.61) <11 <11 0.0306
 Substance use disorder/abuse 44 (24.72) 19 (22.35) 12 (8.76) 0.0010 48 (26.09) 14 (19.44) 13 (9.03) 0.0004
Use of substances early in pregnancy, (n, %)
 Tobacco use disorder/abuse 28 (15.22) 11 (15.28) 22 (15.28) 0.9999
 Alcohol use disorder/abuse 14 (7.61) <11 <11 0.0234
 Substance use disorder/abuse 49 (26.63) 15 (20.83) 23 (15.97) 0.0660
Concomitant medication uses at 3-month baseline, (n, %)
 Benzodiazepines 33 (18.54) 20 (23.53) 33 (24.09) 0.4327 39 (21.20) 16 (22.22) 31 (21.53) 0.9839
 Antidepressants 42 (23.60) 32 (37.65) 34 (24.82) 0.0436 45 (24.46) 27 (37.50) 36 (25.00) 0.0853
 Opioid analgesics 45 (25.28) 15 (17.65) 23 (16.79) 0.0019 48 (26.09) 12 (16.67) 23 (15.97) 0.0008
 Anticonvulsants 20 (11.24) <11 <11 0.4975 18 (9.78) <11 13 (9.03) 0.9711
Concomitant medication uses early in pregnancy, (n, %)
 Benzodiazepines 35 (19.02) 19 (26.39) 33 (22.92) 0.4005
 Antidepressants 42 (22.83) 27 (37.50) 34 (23.61) 0.0415
 Opioid analgesics 31 (16.85) <11 12 (8.33) 0.0006
 Anticonvulsants 17 (9.24) <11 <11 0.6992

Abbreviation: SD = standard deviation.

a

Small cell count <11 was suppressed.

b

Markers of severity of OUD (including injection drug use-related infection, opioid-related overdose, and hepatitis C virus infection) at baseline and early in pregnancy were included as time-varying covariates in models for inverse probability treatment weighting; however, descriptive statistics were not reported due to small counts (i.e., <11).

2.6. Statistical analyses

Baseline characteristics were summarized by exposure in both early and late pregnancy, respectively. Continuous variables were compared using ANOVA or Mann-Whitney U test, while categorical variables were compared using Chi square or Fisher exact test.

To assess prenatal OAT risks of adverse neonatal and pregnancy outcomes, we fit marginal structural models (MSMs) using stabilized inverse-probability treatment weighting (IPTW) with two time periods to account for time-varying exposure and confounding.24 We estimated crude and adjusted odds ratios (OR) with 95% confidence intervals (CI) for each outcome. We developed two stabilized IPTWs for both early and late exposure by fitting numerator and denominator models using multinomial logistic regression models, respectively. Specifically, the numerator model accounted for baseline covariates (i.e., maternal age, race, year of birth, multifetal gestation, pre-existing comorbid conditions, and healthcare resource utilization at baseline), and the denominator model accounted for time-varying comedication use, substance use, and markers of severity of OUD, in additional to baseline covariates. Previous exposure history was included in the numerator and denominator models for late exposure. A product of two stabilized IPTWs associated with early and late exposure was used as the final weight in outcome models. Analysis of final stabilized IPTW distribution showed convergence towards one, suggesting no substantial evidence of model misspecification or violation of positivity assumption.24 Generalized Estimation Equations (GEE) with logit link and final stabilized IPTWs were fitted to obtain adjusted odds ratios (aOR) and 95% CI for each outcome. Baseline covariates were included in outcome models. Robust variance estimates were adopted to account for implementation of IPTW. To avoid adjusting for intermediate variables that occur after the time-varying exposure, we accounted for time-varying covariates in a time interval preceding the occurrence of exposure. All analyses were performed using SAS, version 9.4 (SAS Inc). All statistical tests were two-sided with a significance level of 0.05.

2.61. Primary and Secondary Analysis

In the primary analysis, effect of prenatal buprenorphine and methadone exposure during both early and late pregnancy time periods, early (alone) or late (alone), on adverse outcomes were assessed, comparing OAT-treated and untreated pregnancies. In the secondary analyses, we compared risks of adverse neonatal and pregnancy outcomes among women exposed to buprenorphine versus those exposed to methadone both early and late, early (alone), or late (alone) in pregnancy.

2.62. Sensitivity Analyses

Several sensitivity analyses were conducted. First, maternal age was restricted to ≥18 years because of the inconsistent minimum eligible age for the receipt of OAT therapy.19,25 Second, to address exposure misclassification, women had to have ≥2 records of dispensing for OAT with buprenorphine or ≥2 documented office visits indicating methadone administration during each of the prespecified gestational periods. Women with only one dispensation of OAT with buprenorphine or only one office visit associated with methadone administration were excluded from the analytical cohort. Third, cohort inclusion criteria were refined to having ≥2 medical claims indicating OUD at a 3-month baseline or during pregnancy to address potential false positive cases of OUD. Lastly, to quantify uncertainties associated with unmeasured confounding, we computed E-value (Supplementary materials eTable 5 and 6) for comparisons that achieved statistical significance. E-values can provide an estimate of the minimum strength of the association that unmeasured confounding needs to have with both exposure and outcome to drive the estimated exposure-outcome association toward null.26

3. RESULTS

Out of 400 eligible pregnancies, 85 (21.3%) pregnancies were initially exposed to buprenorphine or a combination of buprenorphine and naloxone, and 137 (34.3%) were exposed to methadone early in pregnancy (Supplementary material eFigure 1). When compared with pregnancies treated with methadone, pregnancies treated with buprenorphine or untreated were more likely to have pre-existing comorbidities, including depression and nonopioid substance dependence, and had more frequent concomitant use of antidepressants. In addition, compared with women who received OAT, the untreated pregnancies were more likely to be younger, African American, with concomitant alcohol use disorder, or use of opioid analgesics (Table 1).

When compared with infants of untreated mothers, those with prenatal methadone exposure during both gestational periods were associated with an increased risk of preterm birth (methadone: 31 (24.8%); untreated: 22 (14.47%); aOR: 2.52; 95%CI: 1.07-5.95), low birth weight (methadone: 35 (28%); untreated: 23 (15.13%); aOR: 2.99; 95%CI: 1.34-6.66), NAS (methadone: 75 (60%); untreated: 19 (12.5%); aOR: 11.36; 95%CI: 5.65-22.82), NICUa (methadone: 69 (55.2%); untreated: 27 (17.76%); aOR: 5.04; 95%CI: 2.49-10.21), respiratory symptoms (methadone: 29 (23.2%); untreated: 17 (11.18%); aOR: 2.71; 95%CI: 1.17-6.24), small for gestational age (methadone: 19 (15.2%); untreated: 11 (7.24%); aOR: 3.54; 95%CI: 1.23-10.22), and extended maternal delivery hospital stay (>7 days) (methadone: 91 (72.8%); untreated: 29 (19.08%); aOR: 14.51; 95%CI: 7.23-29.12) (Table 2). In contrast to untreated pregnancies, continuous buprenorphine use during both gestational periods was associated with an increased risk of NAS (buprenorphine: 37 (56.92%); untreated: 19 (12.5%); aOR: 10.27; 95%CI: 4.91-21.47) and extended maternal delivery hospital stay (>7 days) (buprenorphine: 28 (43.08%); untreated: 29 (19.08%); aOR: 3.84; 95%CI: 1.83-8.07); however, continuous buprenorphine use demonstrated a reduced risk of preterm birth (buprenorphine: <11; untreated: 22 (14.47%); aOR: 0.17; 95%CI: 0.04-0.77).

Table 2.

Crude and adjusted (IP-weighted) odds ratios of adverse neonatal and pregnancy outcomes associated with prenatal exposure to buprenorphine or methadone both early and late in pregnancy compared with untreated pregnancies.

Exposure to OATs in both early and late pregnancya,b
Neonatal outcomes Cases, n (%) Crude OR (95% CI) Weighted OR (95% CI)
Preterm birth (<37 weeks)
 Buprenorphine <11 0.26 (0.07, 1.00) 0.17 (0.04, 0.77)
 Methadone 31 (24.8) 2.03 (1.08, 3.84) 2.52 (1.07, 5.95)
 Untreated 22 (14.47) Ref. Ref.
Low birthweight (<2500 g)
 Buprenorphine <11 0.32 (0.11, 0.93) 0.41 (0.12, 1.40)
 Methadone 35 (28) 2.13 (1.18, 3.82) 2.99 (1.34, 6.66)
 Untreated 23 (15.13) Ref. Ref.
Neonatal Intensive Care Unit Admission (NICUa)
 Buprenorphine 18 (27.69) 1.83 (0.92, 3.65) 1.78 (0.77, 4.14)
 Methadone 69 (55.2) 5.90 (3.40, 10.23) 5.04 (2.49, 10.21)
 Untreated 27 (17.76) Ref. Ref.
Neonatal abstinence syndrome (NAS)
 Buprenorphine 37 (56.92) 8.28 (4.23, 16.19) 10.27 (4.91, 21.47)
 Methadone 75 (60) 10.50 (5.90, 18.68) 11.36 (5.65, 22.82)
 Untreated 19 (12.5) Ref. Ref.
Respiratory symptoms
 Buprenorphine 11 (16.92) 1.51 (0.67, 3.39) 1.79 (0.67, 4.76)
 Methadone 29 (23.2) 2.39 (1.28, 4.47) 2.71 (1.17, 6.24)
 Untreated 17 (11.18) Ref. Ref.
Feeding difficulties
 Buprenorphine 18 (27.69) 1.20 (0.63, 2.30) 1.52 (0.65, 3.57)
 Methadone 16 (12.8) 0.49 (0.26, 0.90) 0.57 (0.27, 1.21)
 Untreated 36 (23.68) Ref. Ref.
Small for gestational age
 Buprenorphine <11 2.46 (0.90, 6.77) 3.15 (1.00, 9.94)
 Methadone 19 (15.2) 2.65 (1.14, 6.21) 3.54 (1.23, 10.22)
 Untreated 11 (7.24) Ref. Ref.
Maternal and obstetrical complications
Length of maternal hospital stay (>7 days)c
 Buprenorphine 28 (43.08) 3.35 (1.79, 6.28) 3.84 (1.83, 8.07)
 Methadone 91 (72.8) 11.60 (6.62, 20.31) 14.51 (7.23, 29.12)
 Untreated 29 (19.08) Ref. Ref.
Caesarean delivery
 Buprenorphine 23 (35.38) 1.07 (0.60, 1.93) 1.08 (0.54, 2.14)
 Methadone 34 (27.2) 0.62 (0.37, 1.04) 0.79 (0.41, 1.52)
 Untreated 55 (36.18) Ref. Ref.
Preeclampsia
 Buprenorphine <11 0.86 (0.13, 5.60) 0.66 (0.08, 5.34)
 Methadone <11 1.60 (0.45, 5.67) 1.69 (0.43, 6.68)
 Untreated <11 Ref. 0.66 (0.08, 5.34)
Postpartum hemorrhage
 Buprenorphine <11 2.14 (0.54, 8.49) 1.51 (0.33, 6.89)
 Methadone <11 0.62 (0.13, 3.04) 0.65 (0.13, 3.14)
 Untreated <11 Ref. Ref.

Abbreviations: IP = inverse probability; OR = odds ratios; CI = confidence intervals.

a

Small cell count <11 was suppressed.

b

Stabilized inverse-probability treatment weights (IPTWs) of early and late exposure were computed with the numerator model adjusting for baseline covariates (i.e., maternal age, race, year of birth, multiple gestation, pre-existing comorbid conditions, and healthcare resource utilization at baseline), and the denominator model adjusting for additional time-varying comedication use, substances use, and markers of OUD severity. Previous exposure history was included in the models for late exposure. Infant sex was included for adverse neonatal outcomes. A product of stabilized IPTWs for early and late exposure was used in outcome models.

c

Missing values were ≤0.5% and only complete cases were analyzed.

Results were largely similar when comparing untreated pregnancies to early (alone) pregnancy exposure to both opioid agonists (Table 3). However, early (alone) pregnancy exposure to methadone was associated with a higher risk of SGA (aOR: 4.45; 95%CI: 1.38-14.33), extended maternal hospitalization >7 days (untreated: 29 (19.08%); aOR: 2.76; 95%CI: 1.11-6.88), and reduced risk of feeding difficulties (untreated: 36 (23.68%); aOR: 0.12; 95%CI: 0.04-0.38). Further, late (alone) pregnancy exposure to methadone was associated with a significantly increased risk of preterm birth (aOR: 4.53; 95%CI: 1.39-14.76), NAS (aOR: 18.39; 95%CI: 5.74-58.98), NICUa (aOR: 3.58; 95%CI: 1.51-8.45), feeding difficulties (aOR: 4.68; 95%CI: 1.63-13.45), and extended maternal hospitalization >7 days (aOR: 5.26; 95%CI: 2.12 −13.06) when compared to untreated pregnancies. Late (alone) pregnancy exposure to buprenorphine was associated with an increased risk of NAS (aOR: 7.04; 95%CI: 2.03-24.43) and SGA (aOR: 3.45; 95%CI: 1.47-8.05) compared to untreated pregnancies. Counts and percentages of events were not reported due to small count <11.

Table 3.

Crude and adjusted (IP-weighted) odds ratios of adverse neonatal and pregnancy outcomes associated with prenatal exposure to buprenorphine or methadone early (alone) or late (alone) in pregnancy compared with untreated pregnancies.

Exposure to OAT in early pregnancy only Exposure to OAT in late pregnancy only
Crude OR (95% CI) Weighted OR (95% CI) Crude OR (95% CI) Weighted OR (95% CI)
Neonatal outcomes
Preterm birth (<37 weeks)
 Buprenorphine 0.53 (0.16, 1.73) 0.30 (0.08, 1.11) 0.50 (0.13, 1.88) 0.58 (0.14, 2.38)
 Methadone 0.80 (0.37, 1.76) 0.56 (0.16, 1.97) 2.53 (1.15, 5.60) 4.53 (1.39, 14.76)
 Untreated Ref. Ref. Ref. Ref.
Low birthweight (<2500 g)
 Buprenorphine 0.78 (0.18, 3.30) 1.18 (0.21, 6.60) 0.40 (0.08, 2.17) 0.34 (0.05, 2.30)
 Methadone 1.95 (0.78, 4.87) 0.95 (0.21, 4.32) 1.09 (0.44, 2.72) 3.14 (0.78, 12.69)
 Untreated Ref. Ref. Ref. Ref.
Neonatal Intensive Care Unit Admission (NICUa)
 Buprenorphine 0.69 (0.25, 1.88) 0.71 (0.19, 2.59) 2.66 (0.96, 7.33) 2.51 (0.67, 9.42)
 Methadone 1.64 (0.77, 3.52) 1.41 (0.59, 3.35) 3.59 (1.66, 7.75) 3.58 (1.51, 8.45)
 Untreated Ref. Ref. Ref. Ref.
Neonatal abstinence syndrome (NAS)
 Buprenorphine 1.07 (0.41, 2.80) 1.46 (0.43, 4.91) 7.76 (2.95, 20.45) 7.04 (2.03, 24.43)
 Methadone 0.71 (0.26, 1.91) 0.62 (0.19, 1.97) 14.85 (5.28, 41.72) 18.39 (5.74, 58.98)
 Untreated Ref. Ref. Ref. Ref.
Respiratory symptoms
 Buprenorphine 0.95 (0.30, 2.97) 1.23 (0.31, 4.85) 1.60 (0.50, 5.13) 1.45 (0.35, 6.08)
 Methadone 1.61 (0.53, 4.88) 1.58 (0.48, 5.16) 1.48 (0.49, 4.52) 1.72 (0.53, 5.58)
 Unexposed Ref. Ref. Ref. Ref.
Feeding difficulties
 Buprenorphine 1.02 (0.40, 2.56) 0.90 (0.36, 2.24) 1.18 (0.45, 3.08) 1.69 (0.61, 4.75)
 Methadone 0.33 (0.12, 0.92) 0.12 (0.04, 0.38) 1.49 (0.55, 4.02) 4.68 (1.63, 13.45)
 Unexposed Ref. Ref. Ref. Ref.
Small for gestational age
 Buprenorphine 0.88 (0.44, 1.76) 0.91 (0.42, 2.64) 2.80 (1.39, 5.66) 3.45 (1.47, 8.05)
 Methadone 4.49 (1.59, 12.66) 4.45 (1.38, 14.33) 0.59 (0.22, 1.62) 0.80 (0.26, 2.46)
 Unexposed Ref. Ref. Ref. Ref.
Maternal and obstetrical complications
Length of maternal hospital stay (>7 days)c
 Buprenorphine 0.68 (0.24, 1.88) 1.04 (0.28, 3.82) 4.95 (1.77, 13.84) 3.71 (0.98, 13.99)
 Methadone 1.78 (0.80, 3.96) 2.76 (1.11, 6.88) 6.51 (2.93, 14.44) 5.26 (2.12, 13.06)
 Unexposed Ref. Ref. Ref. Ref.
Caesarean delivery
 Buprenorphine 0.36 (0.13, 1.01) 0.51 (0.16, 1.59) 2.98 (1.06, 8.35) 2.10 (0.65, 6.78)
 Methadone 1.10 (0.52, 2.32) 1.38 (0.53, 3.60) 0.56 (0.27, 1.19) 0.58 (0.23, 1.47)
 Unexposed Ref. Ref. Ref. Ref.

Abbreviations: IP = inverse probability; OR = odds ratios; CI = confidence intervals.

a

Counts and percentages of events were not reported due to small counts (<11) for most of the outcomes of interest.

b

Stabilized inverse-probability treatment weights (IPTWs) weights of early and late exposure were computed with the numerator model adjusting for baseline covariates (i.e., maternal age, race, year of birth, multiple gestation, pre-existing comorbid conditions, and healthcare resource utilization at baseline), and the denominator model adjusting for additional time-varying comedication use, substances use, and markers of OUD severity. Previous exposure history was included in the models for late exposure. Infant sex was included for adverse neonatal outcomes. A product of stabilized IPTWs for early and late exposure was used in outcome models.

c

Missing values were ≤0.5% and only complete cases were analyzed.

When evaluating prenatal buprenorphine exposure during early and late pregnancy, infants with exposure to methadone in both gestational periods experienced a substantially higher risk of preterm birth (<37 gestational weeks) (methadone: 31 (24.8%); buprenorphine: <11; aOR: 14.49; 95%CI: 3.20-65.57), low birth weight (methadone: 35 (28%); buprenorphine: <11; aOR: 7.36; 95%CI: 2.18-24.87), NICUa (methadone: 69 (55.2%); buprenorphine: 18 (27.69%); aOR: 2.83; 95%CI: 1.23-6.48), and extended maternal hospitalization (>7 days) (methadone: 91 (72.8%); buprenorphine: 28 (43.08%); aOR: 3.77; 95%CI: 1.80-7.70) (Table 4). A similar estimate emerged for the effect of late (alone) pregnancy exposure to methadone on preterm birth (aOR: 7.74; 95% CI: 1.26-47.41) versus late (alone) pregnancy exposure to buprenorphine (Table 5). Additionally, early (alone) methadone use was linked to a higher risk of SGA (aOR: 4.68; 95%CI: 1.39-17.01) (Table 5). Conversely, significant differences were found in favor of continuous methadone use during both early and late gestational periods for feeding difficulties (methadone: 16 (12.8%); buprenorphine: 18 (27.69%); aOR: 0.37; 95%: 0.15-0.92) (Table 4).

Table 4.

Crude and adjusted (IP-weighted) odds ratios of adverse neonatal and pregnancy outcomes associated with prenatal exposure to methadone both early and late in pregnancy compared with buprenorphine both early and late in pregnancy.

Exposure to OATs in both early and late pregnancya,b
Neonatal outcomes Cases, n (%) Crude OR (95% CI) Weighted OR (95% CI)
Preterm birth (<37 weeks)
 Buprenorphine <11 Ref. Ref.
 Methadone 31 (24.8) 7.77 (2.14, 28.18) 14.49 (3.20, 65.57)
Low birthweight (<2500 g)
 Buprenorphine <11 Ref. Ref.
 Methadone 35 (28) 6.75 (2.32, 19.66) 7.36 (2.18, 24.87)
Neonatal Intensive Care Unit Admission (NICUa)
 Buprenorphine 18 (27.69) Ref. Ref.
 Methadone 69 (55.2) 3.23 (1.71, 6.06) 2.83 (1.23, 6.48)
Neonatal abstinence syndrome (NAS)
 Buprenorphine 37 (56.92) Ref. Ref.
 Methadone 75 (60) 1.27 (0.70, 2.30) 1.11 (0.54, 2.28)
Respiratory symptoms
 Buprenorphine 11 (16.92) Ref. Ref.
 Methadone 29 (23.2) 1.58 (0.75, 3.34) 1.51 (0.55, 4.12)
Feeding difficulties
 Buprenorphine 18 (27.69) Ref. Ref.
 Methadone 16 (12.8) 0.40 (0.20, 0.83) 0.37 (0.15, 0.92)
Small for gestational age
 Buprenorphine <11 Ref. Ref.
 Methadone 19 (15.2) 1.08 (0.46, 2.53) 1.12 (0.43, 2.96)
Maternal and obstetrical complications
Length of maternal hospital stay (>7 days)c
 Buprenorphine 28 (43.08) Ref. Ref.
 Methadone 91 (72.8) 3.46 (1.86, 6.42) 3.77 (1.80, 7.90)
Caesarean delivery
 Buprenorphine 23 (35.38) Ref. Ref.
 Methadone 34 (27.2) 0.57 (0.31, 1.07) 0.74 (0.35, 1.57)
Preeclampsia
 Buprenorphine <11 Ref. Ref.
 Methadone <11 1.86 (0.33, 10.60) 2.56 (0.45, 14.43)
Postpartum hemorrhage
 Buprenorphine <11 Ref. Ref.
 Methadone <11 0.29 (0.06, 1.37) 0.43 (0.07, 2.45)

Abbreviations: IP = inverse probability; OR = odds ratios; CI = confidence intervals.

a

Small cell count <11 was suppressed.

b

Stabilized inverse-probability treatment weights (IPTWs) of early and late exposure were computed with the numerator model adjusting for baseline covariates (i.e., maternal age, race, year of birth, multiple gestation, pre-existing comorbid conditions, and healthcare resource utilization at baseline), and the denominator model adjusting for additional time-varying comedication use, substances use, and markers of OUD severity. Previous exposure history was included in the models for late exposure. Infant sex was included for adverse neonatal outcomes. A product of stabilized IPTWs for early and late exposure was used in outcome models.

c

Missing values were ≤0.5% and only complete cases were analyzed.

Table 5.

Crude and adjusted (IP-weighted) odds ratios of adverse neonatal and pregnancy outcomes associated with prenatal exposure to methadone early (alone) or late (alone) in pregnancy compared with buprenorphine.

Exposure to OAT in early pregnancy only Exposure to OAT in late pregnancy only
Crude OR (95% CI) Weighted OR (95% CI) Crude OR (95% CI) Weighted OR (95% CI)
Neonatal outcomes
Preterm birth (<37 weeks)
 Buprenorphine Ref. Ref. Ref. Ref.
 Methadone 1.52 (0.38, 6.03) 1.87 (0.33, 10.67) 5.11 (1.14, 22.90) 7.74 (1.26, 47.41)
Low birthweight (<2500 g)
 Buprenorphine Ref. Ref. Ref. Ref.
 Methadone 2.51 (0.48, 13.17) 0.80 (0.09, 6.93) 2.69 (0.40, 18.18) 9.15 (0.88, 95.46)
Neonatal Intensive Care Unit Admission (NICUa)
 Buprenorphine Ref. Ref. Ref. Ref.
 Methadone 2.38 (0.70, 8.13) 1.98 (0.43, 9.17) 1.35 (0.39, 4.65) 1.42 (0.31, 6.53)
Neonatal abstinence syndrome (NAS)
 Buprenorphine Ref. Ref. Ref. Ref.
 Methadone 0.66 (0.17, 2.66) 0.42 (0.08, 2.28) 1.91 (0.49, 7.41) 2.61 (0.51, 13.36)
Respiratory symptoms
 Buprenorphine Ref. Ref. Ref. Ref.
 Methadone 1.70 (0.36, 8.06) 1.28 (0.22, 7.52) 0.93 (0.19, 4.50) 1.18 (0.19, 7.32)
Feeding difficulties
 Buprenorphine Ref. Ref. Ref. Ref.
 Methadone 0.32 (0.08, 1.28) 0.14 (0.03, 0.58) 1.26 (0.33, 4.88) 2.76 (0.68, 11.27)
Small for gestational age
 Buprenorphine Ref. Ref. Ref. Ref.
 Methadone 5.11 (1.70, 15.40) 4.86 (1.39, 17.01) 0.21 (0.07, 0.67) 0.23 (0.06, 0.87)
Maternal and obstetrical complications
Length of maternal hospital stay (>7 days)c
 Buprenorphine Ref. Ref. Ref. Ref.
 Methadone 2.63 (0.74, 9.39) 2.66 (0.55, 12.90) 1.31 (0.37, 4.66) 1.42 (0.30, 6.71)
Caesarean delivery
 Buprenorphine Ref. Ref. Ref. Ref.
 Methadone 3.04 (0.86, 10.70) 2.69 (0.62, 11.78) 0.19 (0.05, 0.66) 0.27 (0.07, 1.15)

Abbreviations: IP = inverse probability; OR = odds ratios; CI = confidence intervals.

a

Counts and percentages of events were not reported due to small numbers (<11) for most of the outcomes of interest.

b

Stabilized inverse-probability treatment weights (IPTWs) of early and late exposure were computed with the numerator model adjusting for baseline covariates (i.e., maternal age, race, year of birth, multiple gestation, pre-existing comorbid conditions, and healthcare resource utilization at baseline), and the denominator model adjusting for additional time-varying comedication use, substances use, and markers of OUD severity. Previous exposure history was included in the models for late exposure. Infant sex was included for adverse neonatal outcomes. A product of stabilized IPTWs for early and late exposure was used in outcome models.

c

Missing values were ≤0.5% and only complete cases were analyzed.

Sensitivity analyses were mainly consistent with the primary analyses and were presented in Supplementary material eTable 4. Prenatal methadone exposure both early and late during pregnancy was associated with an increased risk of preterm birth, low birth weight, NICUa, NAS, respiratory symptoms, SGA, and extended maternal length of hospitalization. Consistency was also identified regarding prenatal buprenorphine exposure during both gestational periods, which related to a decreased risk of preterm birth when compared to untreated pregnancies.

4. DISCUSSION

This study comprehensively evaluated the use of OAT during pregnancy and incorporated the time-varying nature of exposure. Our findings suggest that prenatal methadone exposure late (alone) or both early and late in pregnancy was associated with a higher risk of multiple adverse neonatal and pregnancy outcomes, including preterm birth, low birth weight, NAS, NICUa, respiratory distress, and extended length of maternal hospital stay (>7 days) compared with untreated pregnancies in pregnant women with OUD. In comparison, prenatal buprenorphine exposure in both early and late pregnancy was associated with a lower risk of preterm birth, when compared to untreated OUD pregnancies. Additionally, when compared to prenatal buprenorphine exposure, methadone was associated with a higher risk of adverse neonatal outcomes and extended maternal hospitalization. Some estimates were based on the small cohort, thus resulting in high variability, wide confidence intervals, and potential chance findings.

Although methadone and buprenorphine have long been recommended as standard of care for the treatment of OUD in pregnancy,2,27 NAS is a common adverse consequence in neonates with in-utero exposure to prescription opioids. In our cohort, 55% and 60% of infants prenatally exposed to buprenorphine and methadone, in particular during late pregnancy, experienced NAS which aligns with the reported prevalence (40%-90%) of NAS among neonates with prenatal opioid exposure.9 Subsequently, clinical correlates of NAS are also likely to present in neonates. A substantial increase in the rate of NICUa has been found that directly correlates to the necessary care infants receive with NAS.2830 Similarly, respiratory symptoms and feeding difficulties are frequently observed among neonates with NAS.29,3133 Therefore, further investigations on adverse neonatal outcomes among neonates with and without NAS are necessary to determine the potential pathway between prenatal OAT exposure and adverse infant outcomes.

Compared to OAT untreated pregnancies, pregnancies exposed to either buprenorphine or methadone during pregnancy were similar in regard to preeclampsia, postpartum hemorrhage, and caesarean delivery, apart from an OAT-associated increase in extended maternal hospitalization (>7 days). A few randomized clinical trials and a retrospective cohort study with 62 subjects reported no difference in caesarean delivery among buprenorphine (alone or combined with naloxone) exposure compared with methadone exposure without confounding adjustment.11,34,35

In our analysis, we found that over one-third of pregnancies with a known diagnosis of OUD were not prescribed any OATs. It might be due in part to the fact that Medicaid insured women likely encounter poorer access to OAT due to limited insurance coverage, in addition to insufficient treatment programs, social stigma, and misconceived attitudes about OAT.3640 Moreover, disparities in receipt of pharmacotherapy remained in younger women and African-American women compared to older, white women. Recent studies based on Pennsylvania Medicaid enrollees and a state-level dataset of pregnant women in Massachusetts have also identified the younger and individuals of color as “higher risk” for not utilizing pharmacotherapy for OUD.19,36 These findings highlight the need to improve access to care for this subgroup of patients. Disparities in receipt of care for OUD may be alleviated by addressing social stigma, improving diversity of healthcare providers, and providing systematic care.41 Although our results demonstrated that OAT untreated pregnancies were not associated with significantly inferior neonatal outcomes when compared to the methadone treatment group, findings must be interpreted cautiously as the untreated group likely has unmeasured confounding variables influencing the observed patterns and results. Furthermore, effectiveness of OATs in minimizing symptoms of withdrawal, relapse rate, and illicit drug use was not examined in our study. Recent publications have suggested that use of medium-high dose ranges of methadone and buprenorphine reduces illicit opioid use compared with placebo,10,42,43 aligned with the observed lower prevalence of use of opioids analgesics and illicit drug among OAT-treated pregnancies versus untreated pregnancies (Table 1).

Additionally, our findings favored OAT using buprenorphine with a lower prevalence of low birthweight, preterm birth, and NICUa as compared to methadone, in accordance with previously published evidence.810,30,31,40 However, findings from previous literature were controversial on infant birth weight, body length, malformations, or withdrawal syndromes, which may be due in part to varying sample size and confounding adjustment.7,9,13 OATs using buprenorphine or methadone for OUD are accessible for RI Medicaid beneficiaries, in alignment with many other states in the US. However, strict regulations on prescribing buprenorphine and methadone are applied.46 Healthcare providers who undergo specific training are authorized to prescribe buprenorphine as the treatment for OUD; in contrast, methadone can only be provided through individualized treatment programs requiring daily travel for patients.46,47 As a result, commitment to maintaining methadone treatment may affect patients’ access to the general healthcare system. It is hypothesized, however, that the affected patterns of accessing general healthcare systems could reside on the pathway between OATs and pregnancy outcomes. Future research may further decompose total exposure effects into direct and indirect effects of OAT on pregnancy outcomes passing through the resulting changes in healthcare-seeking behaviors during pregnancy.

In an aim to expand upon existing research, we applied MSMs with time-varying exposure and covariates, which is advantageous in multiple ways. First, MSM with time-varying exposure and covariates is designated to address covariates that simultaneously confound and mediate the exposure-outcome association.24,48 Adjusting for such confounding variables with multivariable regression models might still result in biases.48 In this study, illicit drug/tobacco/alcohol use or concomitant use of medications have been described as predictors of adverse neonatal outcomes,29,4951 and may impact the use of OAT. Further, OAT treatment may influence subsequent illicit drug use or concomitant medication use by assisting the management of illicit drug use and encouraging patient engagement in antenatal care. Successful incorporation of MSMs has improved assessment of treatment effects with the presence of time-varying confounding despite this approach being less frequently applied in pregnancy studies.

Secondly, MSM with time-varying exposure enables estimation of exposure and exploration into the etiological window regarding perinatal outcomes. We did observe a dynamic treatment pattern in our cohort, including treatment discontinuation and late initiation in this study (Supplementary material eFigure 1 and 2). Notably, a significant difference in newborn outcomes was observed among infants prenatally exposed to methadone during late pregnancy (>20 gestational weeks) versus untreated. Conversely, early pregnancy exposures alone were broadly similar in newborn outcomes. Previous evidence suggested late pregnancy opioid use imparts a higher risk of NAS compared with early use after controlling for additional risk factors.56 Additionally, an increase in methadone dosages is typical in late pregnancy, which might link to worse infant outcomes.57

5. LIMITATIONS

Several limitations are present in this study. As with many administrative databases, we did not have information on some confounding factors, such as socioeconomic status and lack of access to buprenorphine due to insurance coverage or geographic locations. Residual confounding by indication might also exist as more challenging patients are likely to be directed to methadone clinics. To address severity of OUD, we accounted for three conditions (i.e., opioid-related overdose, HCV infection, and injection drug use-related infection) which have been assessed as markers of severity of OUD or addiction based on previous literature.23 Also, we accounted for use of non-opioid illicit substances and benzodiazepines at baseline and in pregnancy, which were also identified as indicators of severe addiction.58 In addition, we computed an E-value to evaluate the sensitivity of our findings in relation to residual confounding.26 For adverse pregnancy and neonatal outcomes, E-value point estimates (i.e., ORs) ranged from 2.55 to 8.04 (Supplementary materials eTable 5 and 6),59 indicating a moderate to strong strength of unmeasured confounding that needs to have with both exposure and outcome to hypothetically explain away the observed exposure-outcome association. Nevertheless, our findings do not have a causal interpretation. Additional concern remains regarding exposure misclassification as buprenorphine was defined upon prescription dispensing. To address such bias, we required patients to have ≥2 dispensations of buprenorphine or ≥2 clinical visits indicating OAT treatment with methadone, and the results remained consistent. Additionally, it is plausible for pregnant women to receive OAT treatment with methadone through RI programs outside of Medicaid. However, this exposure misclassification likely leads to more conservative findings. Outcome misclassifications are also likely to exist. Therefore, we adopted validated operational algorithms that have been widely used in the literature. Nevertheless, a claims database has limited data to identify the severity of outcomes (e.g., NAS). Additionally, primary caesarean delivery cannot be distinguished from repeated caesarean delivery using claims data on the basis of ICD-9/10 diagnostic and procedural codes, although from a safety point of view, primary and unplanned caesarean delivery could be more relevant given that repeated caesarean delivery is highly likely to result from previous caesarean delivery.60 For any caesarean delivery, maternal complications and malpresentation appear to be more influential, as opposed to history of caesarean.60 Surveillance bias might occur given reported perinatal risks associated with prenatal opioid exposure.510 However, we believe such a bias would not be substantial since all pregnant women were diagnosed with OUD at baseline or during pregnancy regardless receipt of OATs. Identification of tobacco, alcohol, and substance use based on diagnostic codes might be underestimated; therefore, we cannot exclude use of other illicit substances during the study timeframe consumed by the studied population. Furthermore, changes in access to general healthcare systems might vary among patients who received different treatments, as patients who received OAT with methadone are required to visit a specific methadone program daily, which might result in changes in their healthcare-seeking behaviors. Correction for P value was not performed; therefore, the stated confidence level applies only to each interval individually. Last but not least, our study was subject to a small sample size likely resulting in limited power, wide confidence intervals, and potential chance findings. Therefore, inference should not merely rely on confidence intervals but also consider the strength of associations. Further investigation with larger cohorts and more recent data is warranted to fully reveal the relationship between OATs in pregnancy and pregnancy and neonatal outcomes.

6. CONCLUSIONS

Our findings suggest that buprenorphine and methadone prescribed for OAT are associated with varying perinatal risks. Yet, buprenorphine use may be preferred to methadone in the setting of pregnancy OAT. The public health system and clinicians alike need to weigh the potentially undesired consequences of OAT for OUD in pregnancy against the effectiveness of OAT in suppressing opiate withdrawal and fatal overdose.

Supplementary Material

Supplemental Tables and Figures

KEY POINTS.

  • In the context of pregnancy opioid agonist treatments (OAT), different agents prescribed for opioid use disorders (OUD) are associated with varying perinatal risks; however, buprenorphine may be preferred to methadone.

  • Clinical practitioners must weigh the potentially undesired consequences of OATs for OUD in pregnancy against the effectiveness of OATs in reducing OUD-related morbidity and mortality.

Funding/Support:

Research reported in this publication was supported by the Eunice Kennedy Shriver National Institute of Child Health & Human Development of the National Institutes of Health under Award Number R15HD097588 (Principal Investigator: Dr. Xuerong Wen). The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health.

Competing interests:

Dr. Hartzema is the CSO of Suremed Compliance LLC and received a business grant from the NIH/NIDA (R44DA 051272-01, 08/01/2020 – 07/31/2023, total budget 1.6M). Dr Meador has received research support from the National Institutes of Health and Sunovion Pharmaceuticals, and travel support from Eisai. The Epilepsy Study Consortium pays Dr Meador’s university for his research consultant time related to Eisai, GW Pharmaceuticals, NeuroPace, Novartis, Supernus, Upsher-Smith Laboratories, and UCB Pharma. Dr. Pawasauskas is on Speakers’ Bureau with Heron Therapeutics. Dr. Lewkowitz is supported by the NICHD (K23 HD103961-A1), and his research is also supported by Essential Hospitals Institute/CVS Health Foundation and Pharmacosmos Therapeutics, Inc. Dr. Lewkowitz was a paid speaker for Pharmacosmos as well. The other authors have no conflicts of interests to declare.

Statements and Declarations:

We thank the Rhode Island Department of Health and the Executive Office of Health and Human Services for providing the data access.

Footnotes

Ethics approval: This study was approved and granted a waiver of informed consents by the Institutional Review Board of The University of Rhode Island (IRB 1289357-4) and Rhode Island Department of Health (IRB#: 2019-11).

Code availability: codes used in this study are available upon request.

Consent to participate Not applicable.

Consent for publication Not applicable.

Data availability:

We thank the Rhode Island Department of Health and the Executive Office of Health and Human Services for providing the data access. Restrictions apply to the availability of these data, which were used under license for this study. Data are available from the Rhode Island Department of Health upon appropriate application (https://health.ri.gov/records/).

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Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

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Data Availability Statement

We thank the Rhode Island Department of Health and the Executive Office of Health and Human Services for providing the data access. Restrictions apply to the availability of these data, which were used under license for this study. Data are available from the Rhode Island Department of Health upon appropriate application (https://health.ri.gov/records/).

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