OBJECTIVE

We examined weight loss patterns and feeding practices of infants hospitalized for neonatal opioid withdrawal syndrome (NOWS) managed by the eat, sleep, console approach, which emphasizes nonpharmacologic treatment. Although feeding practices during hospitalization vary widely, weight loss patterns for infants managed under this approach have not yet been described.

METHODS

Of 744 infants with NOWS born from 2014 to 2019 at our institution, 330 met inclusion criteria (≥35 weeks’ gestation and no NICU transfer). We examined maximum weight loss and created weight loss percentile curves by delivery type using mixed effects quantile modeling with spline effect for hour of life; 95% confidence intervals (CI) were compared to published early weight loss nomograms.

RESULTS

In the cohort, the mean gestational age was 39.2 weeks, mean birth weight was 3.1 kg, and mean length of stay was 6.5 days; 94.6% did not require pharmacologic treatment. Median percent weight loss was significantly more compared to early weight loss nomograms for both vaginally-delivered infants at 48 hours (6.9% [95% CI: 5.8–8.5] vs 2.9%) and cesarean-delivered infants at 48 hours (6.5% [95% CI: 4.1–9.1] vs 3.7%) and 72 hours (7.2% [95%CI 4.7–9.9] vs 3.5%), all P < .001. Overall, 27.9% lost >10% birth weight.

CONCLUSIONS

We demonstrate weight loss patterns of infants with NOWS managed by the eat, sleep, console approach at a single center. Infants with NOWS lose significantly more weight than nonopioid exposed infants and are at increased risk of morbidity and health care use. Studies to address optimal feeding methods in these infants are warranted.

Neonatal opioid withdrawal syndrome (NOWS) is a postnatal opioid withdrawal syndrome that can occur in newborns whose mothers were taking opioids while pregnant.15  The incidence of NOWS is increasing dramatically,1,6  more than quadrupling in the past decade.7  In 2017, we described the eat, sleep, console (ESC) approach for the management of infants with NOWS, focusing on nonpharmacologic therapies that led to substantial and sustained decreases in the average length of stay, proportion of infants treated with morphine, and average hospital costs with no adverse events.4,810 

One of the outstanding questions that resulted from this study was the amount of weight loss in infants treated by this novel approach and the impact of increasing caloric density of feeds on weight loss in these infants. Although it is widely accepted that infants with NOWS are at risk for feeding difficulties,1115  increased caloric expenditure,12,1618  and early increased weight loss in the newborn period compared to nonopioid-exposed infants,17,19,20  feeding practices vary widely across the United States.21  Increased weight loss in the newborn period is associated with higher health care use and morbidity,11,16,2227  but few studies demonstrate the quantification of such weight loss in infants with NOWS and possible interventions that can improve weight management.2,17,21  Detailed nomograms of newborn weight loss have been published and can assist with identifying infants at risk for morbidities28,29 ; however, similar weight trajectories for infants with NOWS have not been reported.

In this study, we sought to demonstrate the pattern of daily weight change in infants hospitalized with NOWS. We also aimed to examine feeding and caloric supplementation practices and compare early weight loss among infants with NOWS to established nomograms for newborn early weight loss. As more institutions adopt the ESC approach,3036  it is essential to review weight and feeding outcomes to inform management recommendations that may improve the care of this vulnerable population.

In this retrospective observational cohort study, we examined data from patient charts of infants with NOWS managed by the ESC approach from January 2014 to July 2019 at Yale New Haven Children’s Hospital. The ESC approach encourages rooming-in and intensive first-line nonpharmacologic interventions. Decisions on initiation, escalation, and reduction of pharmacologic treatment is based on provider assessment of 3 patient factors: eating, sleeping, and consolability.9  During the study period, if pharmacologic treatment was required, infants received either morphine and clonidine or morphine alone. Before April 2015, infants were placed on a weaning protocol that decreased the morphine dose by 10% of the peak morphine dose daily. From April 2015 onward, medications were used as needed and not scheduled or weaned. Infants were managed in the newborn nursery and transferred to the general inpatient unit when mothers were discharged from obstetrician care. They were only transferred to the NICU if they had an additional medical problem requiring intensive care or if a bed was not available on the pediatric inpatient unit.

The study population included infants born with prenatal exposure to opioids who were managed on the general inpatient unit of a tertiary academic medical center with ∼ 4500 births annually. Diagnosis of exposure was made with maternal history and maternal urine toxicology results at time of delivery. Subjects were identified with administrative codes for NOWS and prenatal opioid exposure (International Classification of Diseases, Ninth Revision codes 779.5 and 760.72 or Tenth Revision codes P96.1 and P04.49) and confirmed by chart review, at which point data of interest were obtained. Infants were given these diagnoses when they were prenatally exposed to opioids and presented any signs of withdrawal. We excluded infants born <35 weeks’ gestation, infants with prenatal exposure to opioids <30 days, and/or those who were transferred to the NICU at any point of their birth hospital stay. Infants were transferred to the NICU if they had an additional problem requiring medical care or if there were no beds available on the pediatric inpatient unit (Supplemental Table 3).

We abstracted daily weight (grams) from birth to either discharge or day 7 of life, whichever was earlier. Data were recorded using whole hours for every day. Our primary outcome, daily percent weight loss from birth weight (BW), was calculated as daily weight minus BW divided by the BW and multiplied by 100. Secondary outcomes included maximum percent weight loss, weight nadir (calculated as the day of life of maximum percent weight loss), length of stay (LOS), percent weight loss at 48 hours and 72 hours, receipt of increased caloric density feeds (considered as 22 kcal/oz or above), requirement for nasogastric tube (NGT) feedings, and occurrences of >10% weight loss. Increased caloric density feeds were achieved with fortified Similac powder or breast milk fortified with Similac powder to 22, 24, or 27 kcal/oz.

Newborn and maternal characteristics, newborn outcomes, and characteristics of infants receiving NGT feedings were stratified by vaginal and cesarean delivery types and summarized using medians (interquartile range [IQR]) and count (percent). Using mixed-effects quantile regression modeling, we estimated 50th, 75th, and 90th percentiles of weight loss (percent weight loss from BW) across the first 168 hours of life3741  stratified by delivery type. This regression approach uses direct maximum likelihood estimation, in which the model parameters are estimated in a way that maximizes the probability of the observed data across all infants regardless of length of stay. Therefore, missing outcomes are assumed to be missing at random (MAR),40,42  whereby the estimated weight percentile across each of 7 days takes into account contributions from all infants because the likelihood of all observed data are being maximized for infants for varying lengths at the same time. To further minimize the potential impact of missing outcomes because of discharge on the estimation, 7 days was chosen as a timeframe for the model given that our average LOS was 6.5 days, and the majority of infants (65% of cesarean, 75% of vaginal deliveries) had outcome data for ≥5 days. A 4-degrees of freedom B-spline was used for the effect of hours of life to generate nonlinear percentile curves.37  Estimates for median percent weight loss at 24, 48, and 72 hours of life were obtained and compared to published nomograms of nonopioid exposed infants29  by using 95% confidence intervals (CI), which were estimated by using the percentile method (2.5th and 97.5th percentiles) from 500 nonparametrically bootstrapped samples.41  Comparison of the median weight loss percentage across the hospital stay between high and low caloric supplementation infants was also performed by using the quantile regression approach, adjusting for infant’s ethnicity (Hispanic, yes or no), race (Black, White, Other), sex (male or female), BW, and gestational age at birth. Distributions of maximum percent weight loss and associated weight nadir, as well as LOS were compared among different feeding types and groups of caloric supplementation by using the Kruskal-Wallis test, followed by posthoc Dunn’s multiple comparisons test. Statistical hypothesis tests were conducted at the 2-sided α of .05. Quantile regressions for longitudinal data were implemented using lqmm package in R.38,39  Descriptive analyses and between group comparisons were implemented using Prism GraphPad Version 8.4.1.

This study was approved by the Yale University institutional review board under protocol ID 2000021711.

Of 744 infants ≥35 weeks gestational age diagnosed with NOWS during the study period, 330 (41.6%) met inclusion criteria (Fig 1). Of included infants, 71.2% were delivered vaginally, 68.5% were born to mothers using methadone, and 20.3% to mothers on buprenorphine. Median LOS was 4.9 days; 94.6% did not receive pharmacologic treatment (Table 1). Characteristics and outcomes of included infants are presented in Table 1.

FIGURE 1

Consort diagram.

FIGURE 1

Consort diagram.

Close modal
TABLE 1

Patient Demographics and Clinical Characteristics.

Vaginal (N = 235)Cesarean (N = 95)Total (N = 330)
Newborn characteristics 
 Birth wt, kga 3.1 (0.4) 3.1 (0.5) 3.1 (0.5) 
 Female, n (%) 134 (57.0) 53 (55.8) 187 (56.7) 
 Gestational Age, weeksa 39.2 (1.5) 39.1 (1.3) 39.2 (1.5) 
 Ethnicity, Hispanic, n (%) 37 (15.7) 12 (12.6) 49 (14.8) 
 Race 
  White, n (%) 190 (80.9) 78 (82.1) 268 (81.2) 
  African American, n (%) 21 (8.9) 8 (8.4) 29 (8.9) 
  Other, n (%) 24 (10.2) 9 (9.5) 33 (10.0) 
Maternal characteristics 
 Maternal age, ya 29.2 (5.2) 31.0 (4.7) 29.8 (5.1) 
 Maternal gravidaa 3.6 (2.4) 3.9 (2.3) 3.7 (2.4) 
Maternal opioid 
 Methadone, n (%) 161 (68.5) 65 (68.4) 226 (68.5) 
 Methadone dose, mga 84.6 (37.8) 79.4 (36.1) 83.1 (37.) 
 Buprenorphine, n (%) 42 (17.9) 25 (26.3) 67 (20.3) 
 Buprenorphine dose, mga 11.2 (7.5) 11.1 (6.8) 11.2 (7.2) 
 Other, n (%) 32 (13.6) 5 (5.3) 37 (11.2) 
 Poly-opioid use, n (%) 54 (23.0) 21 (22.1) 75 (22.7) 
 Polysubstance use, n (%) 111 (47.2) 45 (47.4) 156 (47.3) 
 Current smoker, n (%) 123 (52.3) 57 (60.0) 180 (54.5) 
Newborn outcomes 
 Length of stay, d 
 Mean (SD) 6.6 (2.8) 6.3 (3.6) 6.5 (3.1) 
 Median (IQR) 5.0 (4.5–5.5) 4.5 (3.9–5.6) 4.9 (4.1–5.5) 
Newborn, treatment 
 Nonpharmacologic, n (%) 222 (94.5) 90 (94.7) 312 (94.6) 
 Morphine, n (%) 14 (6.0) 5 (5.3) 19 (5.7) 
 HOL morphine started, hoursa 94.5 (55.4) 60.0 (16.4) 85.4 (50.2) 
 Total days morphine given, da 5.9 (3.1) 3.4 (2.1) 5.3 (3.0) 
 Max morphine dose, mga 0.17 (0.05) 0.37 (0.43) 0.20 (0.22) 
 Clonidine, n (%) 7 (3.0) 2 (2.1%) 9 (2.7) 
 HOL clonidine started, ha 60.1 (37.8) 45.5 (16.3) 56.9 (33.8) 
 Total days clonidine given, da 6.0 (2.6) 6.0 (0.0) 6.0 (2.3) 
 Max clonidine dose, mga 2.3 (0.3) 1.9 (0.2) 2.2 (0.3) 
Vaginal (N = 235)Cesarean (N = 95)Total (N = 330)
Newborn characteristics 
 Birth wt, kga 3.1 (0.4) 3.1 (0.5) 3.1 (0.5) 
 Female, n (%) 134 (57.0) 53 (55.8) 187 (56.7) 
 Gestational Age, weeksa 39.2 (1.5) 39.1 (1.3) 39.2 (1.5) 
 Ethnicity, Hispanic, n (%) 37 (15.7) 12 (12.6) 49 (14.8) 
 Race 
  White, n (%) 190 (80.9) 78 (82.1) 268 (81.2) 
  African American, n (%) 21 (8.9) 8 (8.4) 29 (8.9) 
  Other, n (%) 24 (10.2) 9 (9.5) 33 (10.0) 
Maternal characteristics 
 Maternal age, ya 29.2 (5.2) 31.0 (4.7) 29.8 (5.1) 
 Maternal gravidaa 3.6 (2.4) 3.9 (2.3) 3.7 (2.4) 
Maternal opioid 
 Methadone, n (%) 161 (68.5) 65 (68.4) 226 (68.5) 
 Methadone dose, mga 84.6 (37.8) 79.4 (36.1) 83.1 (37.) 
 Buprenorphine, n (%) 42 (17.9) 25 (26.3) 67 (20.3) 
 Buprenorphine dose, mga 11.2 (7.5) 11.1 (6.8) 11.2 (7.2) 
 Other, n (%) 32 (13.6) 5 (5.3) 37 (11.2) 
 Poly-opioid use, n (%) 54 (23.0) 21 (22.1) 75 (22.7) 
 Polysubstance use, n (%) 111 (47.2) 45 (47.4) 156 (47.3) 
 Current smoker, n (%) 123 (52.3) 57 (60.0) 180 (54.5) 
Newborn outcomes 
 Length of stay, d 
 Mean (SD) 6.6 (2.8) 6.3 (3.6) 6.5 (3.1) 
 Median (IQR) 5.0 (4.5–5.5) 4.5 (3.9–5.6) 4.9 (4.1–5.5) 
Newborn, treatment 
 Nonpharmacologic, n (%) 222 (94.5) 90 (94.7) 312 (94.6) 
 Morphine, n (%) 14 (6.0) 5 (5.3) 19 (5.7) 
 HOL morphine started, hoursa 94.5 (55.4) 60.0 (16.4) 85.4 (50.2) 
 Total days morphine given, da 5.9 (3.1) 3.4 (2.1) 5.3 (3.0) 
 Max morphine dose, mga 0.17 (0.05) 0.37 (0.43) 0.20 (0.22) 
 Clonidine, n (%) 7 (3.0) 2 (2.1%) 9 (2.7) 
 HOL clonidine started, ha 60.1 (37.8) 45.5 (16.3) 56.9 (33.8) 
 Total days clonidine given, da 6.0 (2.6) 6.0 (0.0) 6.0 (2.3) 
 Max clonidine dose, mga 2.3 (0.3) 1.9 (0.2) 2.2 (0.3) 
a

Mean.

Vaginal Delivery

Figure 2A presents percentile weight loss curves for vaginally-delivered infants with NOWS. Median percentage weight loss for infants in our cohort at 24 hours was 4.3% (95% CI: 3.3–5.7) and at 48 hours was 6.9% (95% CI: 5.8–8.5) (Fig 2A), compared to 2.1% (P < .001) and 2.9% (P < .001), respectively, in nonopioid-exposed infants, according to published early weight loss nomograms.29  Of vaginally-delivered infants in our cohort, 28.3% (95% CI: 22.7–34.5) reached >10% weight loss during hospitalization.

FIGURE 2

A, Early weight loss percentile curves for infants with NOWS delivered vaginally. B, Early weight loss percentile curves for infants with NOWS delivered by cesarean delivery.

FIGURE 2

A, Early weight loss percentile curves for infants with NOWS delivered vaginally. B, Early weight loss percentile curves for infants with NOWS delivered by cesarean delivery.

Close modal

Cesarean Delivery

Figure 2B presents percentile curves for infants with NOWS delivered via cesarean delivery. Median percent weight loss of cesarean-delivered infants at 24 hours was 4.1 (95% CI: 2.0–6.5), at 48 hours was 6.5% (95% CI: 4.1–9.1), and at 72 hours was 7.2% (95% CI: 4.7–9.9) (Fig 2B), compared to 2.9% (P < .001), 3.7% (P < .001) and 3.5% (P < .001), respectively, in nonopioid-exposed infants, according to published early weight loss nomograms.29  Likewise, 25.2% (95% CI: 16.9–35.2) of cesarean-delivered infants with NOWS lost >10% BW during hospitalization. Overall, 27.9% of infants with NOWS lost >10% BW.

Of newborns in our cohort, 3.0% were exclusively breastfed, 37.3% exclusively formula-fed, and 59.6% were combination-fed. Of all infants, 21.8% received the majority of their feeds as breast milk (including those exclusively breastfed) for the first 7 days of hospitalization. Maximum weight loss was lower in exclusively formula-fed infants compared to combination-fed infants who received a majority as breast milk (median 8.2% vs 9.4%, P = .01) (Fig 3A). Overall, median maximum weight loss for all infants was 8.6% (IQR 6.9–10.3).

FIGURE 3

A and B, Feeding type and caloric supplementation in first 7 days of life by delivery type. C–E, Median maximal weight loss, DOL of maximal weight loss, and median LOS by feeding type. F–H, Median maximal weight loss, median DOL, and median LOS by caloric supplementation practice.

FIGURE 3

A and B, Feeding type and caloric supplementation in first 7 days of life by delivery type. C–E, Median maximal weight loss, DOL of maximal weight loss, and median LOS by feeding type. F–H, Median maximal weight loss, median DOL, and median LOS by caloric supplementation practice.

Close modal

The day of life of median weight nadir was not significantly different between the feeding groups and overall was 3.0 days (IQR 2.3–4.0) (Fig 3B). Median LOS for exclusively formula-fed infants or combination-fed infants who received a majority of feeds as formula (5.1 days and 5.0 days) was significantly longer than combination-fed infants who received a majority as breast milk (4.6 days, P = .006 and P = .009, respectively) as well as those who were exclusively breastfed (3.9 days, P = .02 and P = .03) (Fig 3C). Overall, the median LOS was 4.9 days (IQR 4.1–5.5).

Of infants in our cohort, 39.4% received increased caloric density feeds, with 15.4% of those starting increased caloric density feeds on day 0 or 1. Infants who lost significantly more weight were more likely to receive increased caloric density feeds (Fig 3D and Supplemental Fig 4).

Of infants who received increased caloric density feeds, those who received increased caloric density feeds earlier were found to have statistically significant differences in the 75 percentile for both maximal weight loss (5.5% vs 8.5%, P = .03) and LOS (6.2 days vs 7.2 days, P = .05) than those who received increased caloric density feeds later (Fig 3D and 3F). In addition, those who received feeds earlier were found to have earlier weight nadirs (5.3 days vs 5.5 days, P = .03) (Fig 3E).

Of infants in our cohort, 3.9% were fed via NGT for a median of 6.0 days (IQR 2.7–7.0) (Table 2). Of NGT-fed infants with NOWS, median maximum weight loss was 12.4% (IQR 11.0–13.9); median weight nadir was 5.5 (IQR 4.4–6.1); median LOS was 10.0 days (IQR 7.2–10.9); and 23.1% of infants with an NGT received morphine (Table 2).

TABLE 2

Characteristics of Infants Receiving NGT Feedings

Vaginal (N = 8)Cesarean (N = 5)Total (N = 13)
NGT feedings, n (% total deliveries) 8 (3.4) 5 (5.3) 13 (3.9) 
Number of d 
 Mean (SD) 6.1 (2.5) 3.2 (1.3) 5.0 (2.6) 
 Median (IQR)a 6.0 (4.3–8.0) 3.0 (2.0–4.5) 5.0 (2.7–7.0) 
 Receiving morphine, n (%total NGT) 0 (0) 3 (60) 3 (23.1) 
Maximum wt Loss, kg 
 Mean (SD) 13.0 (1.7) 11.5 (2.6) 12.4 (2.1) 
 Median (IQR) 13.0 (11.9–14.3) 11.4 (9.2–13.9) 12.4 (11.0–13.9) 
DOL wt Nadir, d 
 Mean (SD) 5.4 (1.4) 4.8 (0.9) 5.2 (1.2) 
 Median (IQR) 5.5 (4.3–6.6) 4.6 (4.1–5.6) 5.5 (4.4–6.1) 
LOS, d 
 Mean (SD) 10.4 (2.2) 7.2 (1.3) 9.2 (2.4) 
 Median (IQR) 10.0 (9.1–12.8) 7.1 (6.1–8.4) 10.0 (7.2–10.9) 
Vaginal (N = 8)Cesarean (N = 5)Total (N = 13)
NGT feedings, n (% total deliveries) 8 (3.4) 5 (5.3) 13 (3.9) 
Number of d 
 Mean (SD) 6.1 (2.5) 3.2 (1.3) 5.0 (2.6) 
 Median (IQR)a 6.0 (4.3–8.0) 3.0 (2.0–4.5) 5.0 (2.7–7.0) 
 Receiving morphine, n (%total NGT) 0 (0) 3 (60) 3 (23.1) 
Maximum wt Loss, kg 
 Mean (SD) 13.0 (1.7) 11.5 (2.6) 12.4 (2.1) 
 Median (IQR) 13.0 (11.9–14.3) 11.4 (9.2–13.9) 12.4 (11.0–13.9) 
DOL wt Nadir, d 
 Mean (SD) 5.4 (1.4) 4.8 (0.9) 5.2 (1.2) 
 Median (IQR) 5.5 (4.3–6.6) 4.6 (4.1–5.6) 5.5 (4.4–6.1) 
LOS, d 
 Mean (SD) 10.4 (2.2) 7.2 (1.3) 9.2 (2.4) 
 Median (IQR) 10.0 (9.1–12.8) 7.1 (6.1–8.4) 10.0 (7.2–10.9) 

Our study is the first to demonstrate weight loss patterns of infants with NOWS managed by using the ESC approach. These percentile curves can assist providers with expectations of weight loss in infants with NOWS in the newborn period when management decisions are based on the ESC approach, and they give a starting framework for weight loss in an infant going through withdrawal.

We show that compared to weight loss patterns of nonopioid-exposed infants,28,29  infants with NOWS have substantially greater weight loss and continue to lose weight for longer periods of time. In our cohort, 27% of infants with NOWS lost >10% BW compared with only ∼0.1% of nonopioid-exposed infants, albeit the LOS for nonopioid exposed infants were shorter than those in our study.29  The increased weight loss in the NOWS population still hospitalized past 5 days since birth is likely because of withdrawal signs such as hypertonicity and tremors that increase energy use and a tendency toward feeding difficulties that can compromise caloric intake. Consistent with nonopioid-exposed infants, vaginally-delivered infants with NOWS lost less weight than cesarean-delivered infants.

To date, few studies have examined weight loss patterns in infants with NOWS, and those that did used different management approaches, including the modified FNASS and modified Lipsitz scoring protocols, resulting in high percentages of infants receiving pharmacologic treatment (ranging from 45%–76%).17,18,20  In contrast, only 5.4% of infants in our study were treated pharmacologically. The ESC approach, which encourages rooming-in and provides consistent delivery of nonpharmacologic interventions, allowed for analysis of weight loss patterns of a higher proportion of infants that were not treated with pharmacologic agents. Additionally, previous studies only evaluated infants exposed to methadone, whereas our study also included infants exposed to buprenorphine and short-acting opioids.

Compared to infants with NOWS managed with different approaches, our results suggest that infants managed with the ESC approach have similar maximum weight loss but reach their weight nadir more quickly and closer to that of nonopioid-exposed infants. Infants in our study had a median maximal weight loss that was within range of other studies of infants with NOWS (8.5% vs 4%–9.7%).17,18,20  The median weight nadir overall for our cohort (3.0 days) is comparable to untreated infants in a previous study17  but earlier compared to ∼ 5 to 7 days in other published studies.18,21,43  As infant weight loss is among the factors considered for newborn hospital discharge readiness, our results show that infants managed by the ESC approach at our institution begin to regain birth weight earlier than infants managed by other approaches, which can impact birth hospital LOS. Although our early weight loss percentile curves for infants delivered vaginally seems to depict infants continuing to lose weight at 7 days (168 hours of life), the majority (87%) were discharged by this point; thus, this downtrend in weight may only represent infants demonstrating more severe symptoms of NOWS. Future studies are warranted to assess the relationship of severity of NOWS symptoms and weight loss. Additionally, our findings underscore the importance of close discharge follow-up for this vulnerable population. All infants monitored for NOWS discharged from our institution are discharged from the hospital with pediatrician follow-up within 72 hours, a birth-to-3 referral, developmental clinic follow-up, and visiting nurse referral services. We have previously shown that infants managed using the ESC approach did not have adverse events, including transfer to the ICU from the inpatient unit, seizures, and readmissions within 30 days.8,9 

We compared our weight loss percentile curves to previously published nomograms from nonopioid-exposed formula-fed infants because of the low rates of breastfeeding in our population. However, consistent with other studies of infants with NOWS,20,28,29,44  we found that majority breast milk–fed infants experienced more weight loss but had a shorter LOS compared to those that were majority formula-fed. Barriers to breastfeeding in this population could include poor weight gain misinterpreted as poorly established lactation, inconsistent messaging from health care providers around medical and psychiatric comorbidities, and limited financial resources,4447  among others.

In our cohort, the small percentage of infants who received NGT feeds had a greater median weight loss than the overall median weight loss for infants with NOWS; despite this, only a small percentage received morphine. In general, infants losing a substantial amount of weight and showing signs of discoordinated suck and/or sleepiness received NGTs rather than morphine. Although NGT feeds have not been well described in the literature for infants with NOWS, NGTs are frequently used in premature infants in the NICU because of difficulty with coordinating sucking, swallowing, and breathing related to prematurity, which are signs also seen in infants with NOWS. Our data demonstrate that NGTs have been used at our center in infants with NOWS to assist with feeding discoordination.

Our findings show that those infants who received increased caloric density feeds also had significantly more weight loss than those receiving normal caloric density feeds (whether breast milk or formula). This result is likely because of selection bias, because most providers started increasing caloric density in infants who were losing more weight. However, infants who started on increased caloric density feeds earlier on day 0 or 1 (before significant weight loss being recorded) had lower maximal weight loss, earlier weight nadirs, and shorter lengths of stay than those who were started increased caloric density feeds on day 2 or later, although we were not specifically powered to find these effect sizes. Our results suggest further studies are warranted and necessary to elucidate effects of early increase in caloric density of feeds on weight loss in infants with NOWS managed by ESC.

Our study has several limitations. First, we did not have a standardized approach to feeding, particularly in regard to timing of introduction of high-calorie formulas. Infants who received morphine, NGT feeds, and increased caloric supplementation were included in the percentile curves. Because the study was retrospective and observational in design, we were unable to determine weight loss percentiles had the infants not received interventions of NGT feeds, morphine, or increased caloric supplementation. However, our supplemental figure separates those infants who received increased caloric density feeds and those who received normal caloric density feeds, with a similar slope of weight loss. We felt it was important because we wanted to show the overall trajectory of weight loss for all opioid-exposed infants rather than only those whose weight loss trajectory did not require any intervention. Second, we did not extend the study to the posthospitalization period; many of our infants were discharged before regaining BW, thus it is possible that our findings could be different had we obtained data for seven-day follow up on all infants. However, given that we modeled the weight percentiles of hospitalized infants with NOWS, the assumption of MAR for the primary outcome of weight loss during the hospital stay is strengthened given that we adjusted our models for other covariates and used all available outcome data for any given infant. Readers may wonder if the weight loss estimation at later time points on the graph (for example, at 7 days) is reflective of only infants at that time point. The reader can be assured that this would only be the case had we estimated the quantiles of the observed weight loss only and reported those data over time. However, using the statistical model with the MAR assumption for missingness, the estimation algorithm for our model in essence creates percentile curves that are informed by both observed and unobserved outcomes which are only dependent on the previously observed weights and covariates; thus, we believe our findings describe and are representative of the expected weight loss percentile curves for hospitalized infants at our center at each time point noted. Third, the weight loss percentile curves are derived from a single center, which limits its generalizability. Multicentered studies should be performed in the future to establish multicenter percentiles for weight loss in infants with NOWS. Lastly, a portion of the time period studied coincided with the second half of implementation of the ESC approach. Although most elements of the approach were in effect throughout the study period, “as needed” medication dosing was not added until 2015.

In this study, we show the first demonstration of weight loss patterns of infants hospitalized with NOWS using a management approach focused on nonpharmacologic interventions. Compared to weight loss patterns of nonopioid-exposed infants, opioid-exposed infants have substantially greater weight loss and continue to lose weight for longer periods of time, which can place them at risk for increased morbidity and health care use. We also demonstrate that compared with opioid-exposed infants managed by other approaches, infants managed by the ESC approach begin to regain birth weight earlier, which can impact birth hospital LOS. Further, we show that infants with NOWS who started on higher calorie feeds within the first 48 hours had lower maximal weight loss, earlier weight nadirs, and shorter lengths of stay compared to those who were started on higher calorie feeds later, suggesting a feasible, cost-effective approach to improving weight management. Definitive studies to address optimal feeding approaches starting at birth in infants with NOWS are necessary with a focus on both short-term outcomes and long-term neurodevelopmental outcomes.

The authors thank the resident and nursing staff of the inpatient unit at YNHCH and Caitlin Partridge, Yale New Haven Health Joint Data Analytics Team. The authors thank Julia Rosenberg, MD, and Elizabeth Dong Nguyen, MD, PhD, for their critical reading of the manuscript.

FUNDING: No external funding.

CONFLICT OF INTEREST DISCLOSURES: The authors have no conflicts of interest relevant to this article to disclose.

Drs Cheng, Berkwitt, and Grossman conceptualized and designed the study, designed and collected data, drafted the initial manuscript, and reviewed and revised the manuscript; Dr Shabanova helped design the study, carried out the analyses for the data, and reviewed and revised the manuscript; and all authors approved the final manuscript as submitted and agree to be accountable for all aspects of the work.

1.
Kocherlakota
P
.
Neonatal abstinence syndrome
.
Pediatrics
.
2014
;
134
(
2
):
e547
e561
2.
McQueen
K
,
Murphy-Oikonen
J
.
Neonatal abstinence syndrome
.
N Engl J Med
.
2016
;
375
(
25
):
2468
2479
3.
Wachman
EM
,
Schiff
DM
,
Silverstein
M
.
Neonatal abstinence syndrome: advances in diagnosis and treatment
.
JAMA
.
2018
;
319
(
13
):
1362
1374
4.
Grossman
M
,
Berkwitt
A
.
Neonatal abstinence syndrome
.
Semin Perinatol
.
2019
;
43
(
3
):
173
186
5.
Pryor
JR
,
Maalouf
FI
,
Krans
EE
,
Schumacher
RE
,
Cooper
WO
,
Patrick
SW
.
The opioid epidemic and neonatal abstinence syndrome in the USA: a review of the continuum of care
.
Arch Dis Child Fetal Neonatal Ed
.
2017
;
102
(
2
):
F183
F187
6.
Tolia
VN
,
Patrick
SW
,
Bennett
MM
, et al
.
Increasing incidence of the neonatal abstinence syndrome in U.S. neonatal ICUs
.
N Engl J Med
.
2015
;
372
(
22
):
2118
2126
7.
Patrick
SW
,
Davis
MM
,
Lehmann
CU
,
Cooper
WO
,
Cooper
WO
.
Increasing incidence and geographic distribution of neonatal abstinence syndrome: United States 2009 to 2012
.
J Perinatol
.
2015
;
35
(
8
):
650
655
8.
Grossman
MR
,
Berkwitt
AK
,
Osborn
RR
, et al
.
An initiative to improve the quality of care of infants with neonatal abstinence syndrome
.
Pediatrics
.
2017
;
139
(
6
):
e20163360
9.
Grossman
MR
,
Lipshaw
MJ
,
Osborn
RR
,
Berkwitt
AK
.
A novel approach to assessing infants with neonatal abstinence syndrome
.
Hosp Pediatrics
.
2017
;
8
(
1
):
1
6
.
10.
Grossman
MR
,
Osborn
RR
,
Berkwitt
AK
.
Neonatal abstinence syndrome: time for a reappraisal
.
Hosp Pediatr
.
2017
;
7
(
2
):
115
116
11.
Velez
M
,
Jansson
LM
.
The opioid dependent mother and newborn dyad: non-pharmacologic care
.
J Addict Med
.
2008
;
2
(
3
):
113
120
12.
Maguire
DJ
,
Rowe
MA
,
Spring
H
,
Elliott
AF
.
Patterns of disruptive feeding behaviors in infants with neonatal abstinence syndrome
.
Adv Neonatal Care
.
2015
;
15
(
6
):
429
439
,
quiz E1–E2
13.
Maguire
DJ
,
Shaffer-Hudkins
E
,
Armstrong
K
,
Clark
L
.
Feeding infants with neonatal abstinence syndrome: finding the sweet spot
.
Neonatal Netw
.
2018
;
37
(
1
):
11
18
14.
LaGasse
LL
,
Messinger
D
,
Lester
BM
, et al
.
Prenatal drug exposure and maternal and infant feeding behaviour
.
Arch Dis Child Fetal Neonatal Ed
.
2003
;
88
(
5
):
F391
F399
15.
Gewolb
IH
,
Fishman
D
,
Qureshi
MA
,
Vice
FL
.
Coordination of suck-swallow-respiration in infants born to mothers with drug-abuse problems
.
Dev Med Child Neurol
.
2004
;
46
(
10
):
700
705
16.
Jansson
LM
,
Velez
M
,
Harrow
C
.
Methadone maintenance and lactation: a review of the literature and current management guidelines
.
J Hum Lact
.
2004
;
20
(
1
):
62
71
17.
Weinberger
SM
,
Kandall
SR
,
Doberczak
TM
,
Thornton
JC
,
Bernstein
J
.
Early weight-change patterns in neonatal abstinence
.
Am J Dis Child
.
1986
;
140
(
8
):
829
832
18.
Bogen
DL
,
Hanusa
BH
,
Baker
R
,
Medoff-Cooper
B
,
Cohlan
B
.
Randomized clinical trial of standard-versus high-calorie formula for methadone-exposed infants: a feasibility study
.
Hosp Pediatrics
.
2017
;
8
(
1
):
7
14
19.
Hudak
ML
,
Tan
RC
;
Committee on Drugs
;
Committee on Fetus and Newborn
;
American Academy of Pediatrics
.
Neonatal drug withdrawal
.
Pediatrics
.
2012
;
129
(
2
):
e540
e560
20.
Dryden
C
,
Young
D
,
Campbell
N
,
Mactier
H
.
Postnatal weight loss in substitute methadone-exposed infants: implications for the management of breast feeding
.
Arch Dis Child Fetal Neonatal Ed
.
2012
;
97
(
3
):
F214
F216
21.
Bogen
DL
,
Whalen
BL
,
Kair
LR
,
Vining
M
,
King
BA
.
Wide variation found in care of opioid-exposed newborns
.
Acad Pediatr
.
2017
;
17
(
4
):
374
380
22.
Flaherman
V
,
Schaefer
EW
,
Kuzniewicz
MW
,
Li
SX
,
Walsh
EM
,
Paul
IM
.
Health care utilization in the first month after birth and its relationship to newborn weight loss and method of feeding
.
Acad Pediatr
.
2018
;
18
(
6
):
677
684
23.
Paul
IM
,
Lehman
EB
,
Hollenbeak
CS
,
Maisels
MJ
.
Preventable newborn readmissions since passage of the Newborns’ and Mothers’ Health Protection Act
.
Pediatrics
.
2006
;
118
(
6
):
2349
2358
24.
Salas
AA
,
Salazar
J
,
Burgoa
CV
,
De-Villegas
CA
,
Quevedo
V
,
Soliz
A
.
Significant weight loss in breastfed term infants readmitted for hyperbilirubinemia
.
BMC Pediatr
.
2009
;
9
(
1
):
82
25.
Escobar
GJ
,
Greene
JD
,
Hulac
P
, et al
.
Rehospitalisation after birth hospitalisation: patterns among infants of all gestations
.
Arch Dis Child
.
2005
;
90
(
2
):
125
131
26.
Chen
CF
,
Hsu
MC
,
Shen
CH
, et al
.
Influence of breast-feeding on weight loss, jaundice, and waste elimination in neonates
.
Pediatr Neonatol
.
2011
;
52
(
2
):
85
92
27.
Flaherman
VJ
,
Beiler
JS
,
Cabana
MD
,
Paul
IM
.
Relationship of newborn weight loss to milk supply concern and anxiety: the impact on breastfeeding duration
.
Matern Child Nutr
.
2016
;
12
(
3
):
463
472
28.
Flaherman
VJ
,
Schaefer
EW
,
Kuzniewicz
MW
,
Li
SX
,
Walsh
EM
,
Paul
IM
.
Early weight loss nomograms for exclusively breastfed newborns
.
Pediatrics
.
2015
;
135
(
1
):
e16
e23
29.
Miller
JR
,
Flaherman
VJ
,
Schaefer
EW
, et al
.
Early weight loss nomograms for formula fed newborns
.
Hosp Pediatr
.
2015
;
5
(
5
):
263
268
30.
Blount
T
,
Painter
A
,
Freeman
E
,
Grossman
M
,
Sutton
AG
.
Reduction in length of stay and morphine use for NAS with the “eat, sleep, console” method
.
Hosp Pediatr
.
2019
;
9
(
8
):
615
623
31.
Schiff
DM
,
Grossman
MR
.
Beyond the Finnegan scoring system: Novel assessment and diagnostic techniques for the opioid-exposed infant
.
Semin Fetal Neonatal Med
.
2019
;
24
(
2
):
115
120
32.
Wachman
EM
,
Houghton
M
,
Melvin
P
, et al
.
A quality improvement initiative to implement the eat, sleep, console neonatal opioid withdrawal syndrome care tool in Massachusetts’ PNQIN collaborative
.
J Perinatol
.
2020
;
40
(
10
):
1560
1569
33.
Achilles
JS
,
Castaneda-Lovato
J
.
A quality improvement initiative to improve the care of infants born exposed to opioids by implementing the eat, sleep, console assessment tool
.
Hosp Pediatr
.
2019
;
9
(
8
):
624
631
34.
Grisham
LM
,
Stephen
MM
,
Coykendall
MR
,
Kane
MF
,
Maurer
JA
,
Bader
MY
.
Eat, sleep, console approach: a family-centered model for the treatment of neonatal abstinence syndrome
.
Adv Neonatal Care
.
2019
;
19
(
2
):
138
144
35.
Parlaman
J
,
Deodhar
P
,
Sanders
V
,
Jerome
J
,
McDaniel
C
.
Improving care for infants with neonatal abstinence syndrome: a multicenter, community hospital-based study
.
Hosp Pediatr
.
2019
;
9
(
8
):
608
614
36.
Dodds
D
,
Koch
K
,
Buitrago-Mogollon
T
,
Horstmann
S
.
Successful implementation of the eat sleep console model of care for infants with NAS in a community hospital
.
Hosp Pediatr
.
2019
;
9
(
8
):
632
638
37.
Koenker R
.
NG P, PORTNOY S. Quantile smoothing splines
.
Biometrika
.
1994
;
81
(
4
):
673
680
38.
Geraci
M
,
Bottai
M
.
Linear quantile mixed models
.
Stat Comput
.
2014
;
24
(
3
):
461
479
39.
Geraci
M
.
Linear quantile mixed models: The lqmm package for Laplace quantile regression
.
J Stat Softw
.
2014
;
57
(
13
)
40.
Galarza
CE
,
Lachos
VH
,
Bandyopadhyay
D
.
Quantile regression in linear mixed models: a stochastic approximation EM approach
.
Stat Interface
.
2017
;
10
(
3
):
471
482
41.
Efron
B
,
Tibshirani
RJ
.
An introduction to the bootstrap
.
Boca Raton, Florida
:
Chapman & Hall/CRC
;
1994
.
42.
Ibrahim
JG
,
Molenberghs
G
.
Missing data methods in longitudinal studies: a review
.
Test (Madr)
.
2009
;
18
(
1
):
1
43
43.
Dryden
C
,
Young
D
,
Hepburn
M
,
Mactier
H
.
Maternal methadone use in pregnancy: factors associated with the development of neonatal abstinence syndrome and implications for healthcare resources
.
BJOG
.
2009
;
116
(
5
):
665
671
44.
Welle-Strand
GK
,
Skurtveit
S
,
Jansson
LM
,
Bakstad
B
,
Bjarkø
L
,
Ravndal
E
.
Breastfeeding reduces the need for withdrawal treatment in opioid-exposed infants
.
Acta Paediatr
.
2013
;
102
(
11
):
1060
1066
45.
Holmes
AP
,
Schmidlin
HN
,
Kurzum
EN
.
Breastfeeding considerations for mothers of infants with neonatal abstinence syndrome
.
Pharmacotherapy
.
2017
;
37
(
7
):
861
869
46.
Wachman
EM
,
Byun
J
,
Philipp
BL
.
Breastfeeding rates among mothers of infants with neonatal abstinence syndrome
.
Breastfeed Med
.
2010
;
5
(
4
):
159
164
47.
Graves
LE
,
Turner
S
,
Nader
M
,
Sinha
S
.
Breastfeeding and opiate substitution therapy: starting to understand infant feeding choices
.
Subst Abuse
.
2016
;
10
(
Suppl 1
):
43
47

Supplementary data