Literature DB >> 30341399

NICU human milk dose and health care use after NICU discharge in very low birth weight infants.

Tricia J Johnson1, Kousiki Patra2, Michelle M Greene2, Matthew Hamilton2,3, Elizabeth Dabrowski2,4, Paula P Meier2, Aloka L Patel2.   

Abstract

OBJECTIVE: To determine the association between human milk (HM) dose and health care utilization at one and 2 years of life in very low birth weight (birth weight < 1500 g; VLBW) infants. STUDY
DESIGN: This study included 345 VLBW infants enrolled in a prospective observational cohort study (2008-2012) who completed a neonatal high-risk follow-up clinic visit. Subsequent health care utilization included hospitalizations, emergency department visits, pediatric subspecialists, and specialized therapies.
RESULTS: Each 10 mL/kg/day increase in HM in the first 14 days of life was associated with 0.26 fewer hospitalizations (p = 0.04) at 1 year and 0.21 fewer pediatric subspecialist types (p = 0.04) and 0.20 fewer specialized therapy types (p = 0.04) at 2 years.
CONCLUSION: HM dose in early life for VLBW infants was an independent predictor of the number of hospitalizations at 1 year and types of pediatric subspecialists and specialized therapies at 2 years of life.

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Year:  2018        PMID: 30341399      PMCID: PMC6298834          DOI: 10.1038/s41372-018-0246-0

Source DB:  PubMed          Journal:  J Perinatol        ISSN: 0743-8346            Impact factor:   2.521


Introduction

Very low birth weight (birth weight < 1500g; VLBW) infants use more health care services and have higher health care costs after neonatal intensive care unit (NICU) discharge than healthy term infants.(1–6) Health care services that are more frequently used by VLBW infants include hospitalizations, emergency department (ED) visits, pediatric subspecialty medical care, and physical, occupational and speech therapies, all of which increase costs for families and society at large.(1–9) Human milk (HM; milk from the infant’s mother, excluding donor HM) feedings during critical exposure periods in the NICU hospitalization reduce the risk of neonatal morbidities that increase the risk of chronic medical conditions and neurodevelopmental problems.(10–13) Previous studies in VLBW and extremely low birth weight (birth weight < 1000g; ELBW) infants have revealed a dose-response relationship between the amount of HM received during the NICU hospitalization and a reduction in rehospitalization and improved neurodevelopmental outcomes in early childhood.(14–18) Additionally, longer durations and exclusivity of HM in term infants are associated with lower incidence of childhood diseases, including acute otitis media,(19) upper and lower respiratory infections,(20) gastrointestinal infections,(20) and acute lymphoblastic leukemia,(21) thereby reducing childhood health care utilization and costs. In contrast, the literature is sparse regarding the association between early HM intake and health care utilization after NICU discharge for VLBW infants.(15,16) To our knowledge no previously published cohort study has examined a spectrum of post-discharge health care utilization through two years of age in relation to the HM dose received during the initial NICU hospitalization. The study objective was to evaluate the relationship between dose of HM received during critical exposure periods in the NICU hospitalization and health care utilization after NICU discharge through two years of life for VLBW infants.

Subjects and Methods

Study Design

The LOVE MOM (Longitudinal Outcomes in Very Low Birthweight Infants Exposed to Mothers’ Own Milk) cohort included 430 VLBW infants admitted to Rush University Medical Center between 2008 and 2012. Detailed inclusion and exclusion criteria and data collection procedures for the study have been previously reported(10) and are briefly summarized here. Infants were enrolled into the study within 24 hours post-birth and received enteral feedings by 14 days of life (DOL). During the study period, all VLBW infants discharged from the NICU were referred to the Neonatal High-Risk Follow-up Clinic for evaluation at 4, 8 and 20 months corrected age (CA). This multidisciplinary clinic monitors and evaluates growth, neurologic and developmental status through the first two years CA. This study was limited to the 345 infants who completed at least one clinic visit for routine care by 20 months CA. NICU follow-up data were obtained retrospectively from the patient record. Informed consent was obtained from a parent or legal guardian for the original prospective LOVE MOM study, and the institutional review board approved both this study and the original cohort study.

HM Dose Data

Nutritional management was per a standard of care protocol in the NICU during the study years. All infants received parenteral nutrition within hours after birth which provided 3 g/kg/d protein and 27 kcal/kg/d on the first day. Parenteral nutrition was continued until enteral nutrition reached 120 ml/kg/d, after which enteral feedings were gradually increased to a total daily fluid volume of 140–150 mL/kg/d. Enteral feedings were initiated with HM once available or preterm formula if HM was not available after the first few days of life. HM was fortified using powdered HM fortifier when the feeding volume reached 100–140 ml/kg/d. Detailed HM intake data were collected for each enteral feeding during the NICU hospitalization and included the absolute mLs of both HM and formula (no donor HM was used). Daily HM dose was calculated as a weight-adjusted dose (mLs per kilogram body weight per day; mL/kg/d) from the individual feeding data. These daily doses were subsequently used to calculate average daily HM dose (HM-DD) and HM as a percentage of enteral feedings received during the specific exposure periods of 1–14 DOL, 1–28 DOL and for the entire NICU hospitalization.(22)

Health Care Utilization Data

As part of standard care in the Neonatal High-Risk Follow-up Clinic, health care utilization data were acquired from the caregiver at each visit. For the first visit after NICU discharge, the caregiver was asked about health care utilization since NICU discharge, and at subsequent visits, the caregiver was asked about utilization in the interval since the last clinic visit. The number of hospitalizations and ED visits and the types of pediatric subspecialists (pulmonology, surgery, ophthalmology, gastroenterology, nephrology, cardiology, and other) and specialized therapies (physical, speech, developmental, occupational, and nutritional therapy) were collected. The number of hospitalizations, ED visits, types of pediatric subspecialists, and types of specialized therapies at 4 and 8 months CA were summed to calculate health care utilization through 1 year, and the number of visits or provider types at 4, 8 and 20 months CA were summed to calculate health care utilization through 2 years. The health care utilization outcomes were coded as both categorical and continuous variables, depending on the analysis.

Neonatal and Sociodemographic Risk Factors

Infant and maternal characteristics were collected from the prospective LOVE MOM cohort study database of the initial NICU hospitalization. Neonatal risk factors included gestational age, small for gestational age status at birth,(23) mode of delivery (vaginal or cesarean), multiple or singleton birth, antenatal steroid administration, presence of morbidities and feeding characteristics. Patent ductus arteriosus (PDA) treatment (medical and/or surgical) served as a proxy for infants who were unable to undergo standard enteral feed advancement and were at higher risk for poor health outcomes, thus controlling for acuity during the early post-birth time frame.(24) During the study years of 2008–2012 when subjects were hospitalized in the NICU, feedings were withheld during PDA treatment and then resumed at the previous feeding volume once therapy was completed. Feeding characteristics included DOL at feeding initiation and DOL at full enteral feedings. Infant sociodemographic characteristics included gender and primary insurance. Maternal sociodemographic characteristics included maternal race/ethnicity and education. Additionally, we included completion of the 4-month and 8-month follow-up visits as binary variables to account for possible differential recall in the number of visits and types of providers based on whether both the 4 and 8-month visits were completed, or only one of the visits was completed. Presence of morbidities during the NICU hospitalization included necrotizing enterocolitis (NEC; stage 2 or 3, according to Bell),(25) culture-proven late onset sepsis (sepsis), bronchopulmonary dysplasia (BPD; receipt of oxygen or positive pressure ventilation at 36 weeks) and severe brain injury (grades 3–4 intraventricular hemorrhage, periventricular leukomalacia or hydrocephalus). While we initially included severe retinopathy of prematurity (stage 3 or greater), only 2 infants had the morbidity.

Statistical Analysis

One-way analysis of variance (ANOVA) was used to test the association between health care utilization and DD-HM through DOL14, DOL28 and NICU discharge, and Levene’s test for equality of variance was used to test for homogeneity of variance. In cases of unequal variance, Welch’s ANOVA was used. Generalized linear regression models with a negative binomial distribution and log link function were fit to test the association between DD-HM and each of the health care utilization outcomes (number of hospitalizations, number of ED visits, number of types of pediatric subspecialists, number of types of specialized therapies) through 1 and 2 years, respectively. For each health care utilization outcome, a generalized linear regression model was first estimated with only DD-HM. To determine the neonatal and sociodemographic risk factors to be included as covariates, a second model was estimated that included only risk factors. The final model included DD-HM, gestational age, completion of the 4 and 8-month follow-up visits to account for potential recall and selection biases in visit completion, and all other covariates that were significantly associated (p < 0.10) with each health care utilization outcome in the model that included only risk factors. This resulted in one regression model (for each DD-HM: through DOL14, DOL28 and NICU discharge) for each of the 4 health care utilization outcomes for the 2 time periods (1 year and 2 years). Since DD-HM through DOL28 and NICU discharge were not significantly associated with the 4 health care utilization outcomes, only models utilizing DD-HM through DOL14 are reported, resulting in a total of 8 regression models. The marginal effect of DD-HM was computed as (exp(β) – 1) x average DD-HM (in 10 mL/kg/d increments) of 2.996. SAS version 9.2 (Cary, NC) was used for all statistical analyses, and the programming code for the statistical analyses can be obtained from an author (TJJ).

Results

Of the 430 infants in the LOVE MOM cohort, 421 infants survived to 4-month follow-up (98%). Of the 345 (82%) infants completing at least one follow-up visit, 338 (80%) completed a visit at 4 and/or 8-months CA, and 251 (60%) completed a follow-up visit at 20-months CA (Figure). Infants who did not complete any follow-up visit were more likely to have a mother of black/African American race/ethnicity with less than a college degree, were less likely to have BPD, had shorter NICU length of stay and lower HM intake through NICU discharge. There was no difference in HM intake for the first 14 or 28 DOL. Infants who completed at least one follow-up visit at the 1-year follow-up were born to predominantly minority mothers and were low income, with 78% minority and 72% enrolled in Medicaid, and a majority receiving exclusive HM during the first 14 DOL (Table 1), and the 251 infants who completed the two-year follow-up visit were similar to the infants who completed the one-year follow-up visit. At the 1-year follow-up, 31% had one or more hospitalizations, 41% had one or more ED visits, 47% had seen at least one pediatric subspecialist and 34% had received at least one specialized therapy (Table 2).

Figure:

Table 1.

Infant Characteristics

Through 1 Year Follow-upN = 338Through 2 Year Follow-upN = 251
Male gender, n (%)179 (53)135 (55)
Insurance, n (%)
 Private insurance95 (28)65 (26)
 Medicaid243 (72)186 (74)
Maternal race/ethnicity, n (%)[i]
 White68 (20)53 (21)
 Black/African American163 (49)111 (44)
 Hispanic/Latino98 (29)80 (32)
 Other8 (2)6 (2)
Maternal education, n (%)[ii]
 Less than high school degree53 (16)46 (18)
 High school degree99 (30)67 (27)
 Some college112 (33)83 (33)
 College degree or above72 (21)54 (22)
Birth weight, mean (s.d.)1039 (259)1025 (255)
Birth weight < 1000g (automatic eligibility for Early Intervention Program services), n (%)144 (43)113 (45)
Gestational age, mean (s.d.)27.9 (2.5)27.9 (2.5)
Small for gestational age, n (%)68 (20)56 (22)
Delivery – cesarean, n (%)221 (65)167 (67)
Multiple, n (%)51 (15)38 (15)
Antenatal steroids, n (%)305 (90)224 (89)
Necrotizing enterocolitis, n (%)28 (8)23 (9)
Late onset sepsis (confirmed), n (%)37 (11)35 (14)
Severe retinopathy of prematurity, n (%)2 (0.6)1 (0.4)
Bronchopulmonary dysplasia, n (%)112 (33)92 (37)
Severe brain injury (IVH 3–4 or PVL), n (%)18 (5)12 (5)
Patent ductus arteriosus treatment, n (%)134 (40)106 (42)
First feeding, DOL, mean (s.d.)4.6 (2.7)4.8 (2.9)
First full feeding, DOL, mean (s.d.)22.1 (14.2)23.2 (15.4)
HM intake
 DOL 1–14, average mL/kg/day, mean (s.d.)30.0 (27.8)28.9 (27.1)
 DOL 1–28, average mL/kg/day, mean (s.d.) (n = 315)52.4 (38.2)52.0 (37.5)
 NICU stay, average mL/kg/day, mean (s.d.)63.5 (49.6)64.6 (49.1)
 DOL 1–14, cumulative percent HM, median (25th – 75th percentiles)100 (89 – 100)100 (93 – 100)
 DOL 1–14, exclusive (100%) HM, n (%)223 (66)172 (68.5)
NICU length of stay, mean (s.d.)75.0 (35.7)77.7 (36.1)

Abbreviations: s.d., standard deviation; IVH, intraventricular hemorrhage; PVL, periventricular leukomalacia; DOL, day of life; HM, human milk; NICU, neonatal intensive care unit.

unknown for 1 infant;

unknown for 2 infants.

Table 2.

Follow-up Health Care Utilization

Through 1 Year Follow-upN = 338Through 2 Years Follow-upN = 251
Hospitalizations, n (%)
 0232 (69)154 (61)
 181 (24)59 (24)
 2 or more25 (7)38 (15)
Emergency department visits, n (%)
 0198 (59)93 (37)
 196 (28)75 (30)
 2 or more44 (13)83 (33)
Pediatric subspecialists
 Type, n (%)
 Pulmonology45 (13)47 (19)
 Surgery40 (12)35 (14)
 Ophthalmology38 (11)39 (16)
 Gastroenterology35 (10)30 (12)
 Nephrology25 (7)25 (10)
 Cardiology25 (7)24 (10)
 Number of types, n (%)
 0179 (53)113 (45)
 184 (25)65 (26)
 2 or more75 (22)73 (29)
Specialized therapies
 Type, n (%)
 Physical therapy99 (29)107 (43)
 Occupational therapy34 (10)54 (22)
 Developmental therapy26 (8)49 (20)
 Speech therapy25 (7)68 (27)
 Nutritional therapy2 (0.6)2 (0.8)
 Number of types, n (%)
 0223 (66)123 (49)
 167 (20)43 (17)
 2 or more48 (14)85 (34)
Table 3 reports the bivariate association between health care utilization after NICU discharge and DOL14 DD-HM. At the 1-year follow-up, infants with two or more hospitalizations had the lowest DOL14 DD-HM, while infants with no hospitalizations had the highest DOL14 DD-HM. Similar associations between DOL14 DD-HM and the types of pediatric subspecialists and specialized therapies were detected. These associations between DOL14 DD-HM and utilization were similar at the 2-year follow-up.
Table 3.

Relationship between Human Milk Dose (mL/kg/day) at 14 Days of Life and Follow-up Health Care Utilization (Number of Visits and Number of Provider Types)

Through 1 Year Follow-up (N = 338)HM dose, mL/kg/day, Mean (s.d.)Through 2 Years Follow-up (N = 251)HM dose, mL/kg/day, Mean (s.d.)
0 Visits1 Visit2+ Visitsp-value0 Visits1 Visit2+ Visitsp-value
Hospitalizations[i]33.3 (28.0)24.5 (27.7)16.3 (17.8)0.00230.6 (26.2)33.0 (32.1)15.5 (16.4)0.003
ED visits[i]32.7 (28.5)27.1 (26.7)23.8 (25.5)0.0832.2 (27.7)26.3 (27.0)27.5 (26.4)0.31
0 Types1 Type2+ Typesp-value0 Types1 Type2+ Typesp-value
Pediatric subspecialists[ii,iii]37.0 (29.1)22.3 (24.4)21.8 (23.4)<0.00138.2 (30.4)24.5 (22.2)18.4 (20.1)<0.001
Specialized therapies[ii, iv]33.7 (28.6)23.9 (25.9)21.1 (22.5)0.00236.3 (29.5)24.3 (25.7)20.5 (20.5)<0.001

Abbreviations: HM, human milk; s.d., standard deviation; ED, emergency department.

Classified by number of visits;

classified by number of provider types;

pediatric subspecialist types include cardiology, gastroenterology, nephrology, ophthalmology, pulmonology, surgery and other;

Specialized therapy types include developmental, nutritional, occupational, physical and speech therapies; obtained using one-way analysis of variance.

Associations were also detected between DD-HM over other exposure periods (DOL28 and NICU) and health care utilization after NICU discharge. At both 1 and 2-year follow-up, DD-HM was the lowest for infants who had seen two or more types of pediatric subspecialists for both DOL28 DD-HM and NICU DD-HM (results not shown). Additionally, DOL28 DD-HM was lower for infants with two or more hospitalizations compared with infants who had no hospitalizations at the 1-year follow-up. Before adjusting for neonatal and sociodemographic risk factors, DOL14 DD-HM was associated with reductions in each of the health care utilization outcomes at 1-year follow-up (Table 4). After adjusting for neonatal and sociodemographic risk factors, DOL14 DD-HM remained significantly associated with a reduction in the number of hospitalizations, with a marginal effect of 0.26 fewer hospitalizations per 10 mL/kg/d increase in DOL14 DD-HM (p = 0.04) at 1 year (full model results are presented in Supplemental Table 1). DOL14 DD-HM was significantly associated with the number of types of pediatric subspecialists at 2 years, with 0.21 fewer subspecialist types per 10 mL/kg/d increase in DOL14 DD-HM (p = 0.04) and the number of specialized therapy types, with 0.20 fewer types of specialized therapies per 10 mL/kg/d increase in DOL14 DD-HM (p = 0.04) (full model results are presented in Supplemental Table 2). DOL28 DD-HM and NICU DD-HM were not significantly associated with the health care utilization outcomes after controlling for risk factors (results not shown).
Table 4.

Generalized Linear Regression Models Examining the Association of Human Milk Dose at 14 Days of Life (in 10 mL/kg/day increments) and Follow-up Health Care Utilization (Number of Visits and Number of Provider Types)

Unadjusted Model[i]Adjusted Model
Health Care Utilization Outcome[ii]Marginal Effect for HM[iii]95% CIp-valueMarginal Effect for HM[iii]95% CIp-value
Through 1 Year Follow-up (n = 334)
Number of hospitalizations[iv-a]−0.42−0.63, −0.20<0.001−0.26−0.49, −0.010.04
Number of ED visits[iv-b]−0.27−0.45, −0.080.0060.01−0.21, 0.260.92
Types of pediatric subspecialists[iv-c]−0.40−0.54, −0.25<0.001−0.09−0.25, 0.090.32
Types of specialized therapies[iv-d]−0.34−0.52, −0.15<0.001−0.15−0.35, 0.110.19
Through 2 Years Follow-up (n = 248)
Number of hospitalizations[iv-e]−0.39−0.61, 0.150.002−0.15−0.41, 0.130.28
Number of ED visits[iv-f]−0.17−0.34, 0.000.050.13−0.08, 0.350.23
Types of pediatric subspecialists[iv-g]−0.48−0.64, −0.32<0.001−0.21−0.39, −0.010.04
Types of specialized therapies[iv-h]−0.39−0.55, −0.21<0.001−0.20−0.38, −0.010.04

Abbreviations: HM, human milk; ED, emergency department; DOL, day of life.

Unadjusted models include only HM through DOL14 in 10 mL/kg/day as an independent variable.

Each row reports the results for a different model.

Marginal effect for HM computed as (exp(β) – 1) x average dose of HM at DOL14 (in 10 mL/kg/d increments).

Adjusted models include gestational age, completion of 4 and 8-month follow-up visits and other independent variables significantly associated with the outcome (see Supplemental Tables for full model results), including

gender, maternal education, and maternal race/ethnicity;

gender, maternal education, insurance and patent ductus arteriosis treatment;

DOL of first full feeding;

maternal education and insurance;

gender, maternal education and insurance;

gender, maternal education, maternal race/ethnicity, insurance and DOL of first full feeding;

DOL of first full feeding and birth SGA; and

gender, maternal race/ethnicity and insurance.

Discussion

To our knowledge, this is the first cohort study to examine the relationship between dose of HM (defined as milk from the infant’s mother, excluding donor HM, throughout the Discussion) received during the initial NICU hospitalization and subsequent health care utilization through 2 years of life in VLBW infants. We found that every 10 mL/kg/d increase in HM intake in the first 14 DOL was associated with a significant reduction in hospitalizations over the first 1 year of life and with a significant reduction in the types of pediatric subspecialists and specialized therapies over the first 2 years of life. In contrast to findings by Vohr et al in ELBW infants,(15) we did not find an association between HM dose received during the entire NICU stay and subsequent hospitalization. We speculate that this may have been due to differences in our cohort which was a larger, healthier group of VLBW infants who reached full enteral feedings at a mean of 22.1 days and, therefore, were receiving a significant volume of HM at DOL14 compared to ELBW infants in the Vohr et al study who reached full enteral feedings at a mean of 27.4–29 DOL. An obvious question is whether this dose-dependent relationship is a function of the biological impact of HM in this early post-birth critical window or represents healthier infants receiving higher volumes of HM. To account for infants who were sicker or not receiving feedings in the first 14 DOL, we controlled for infant maturity, feeding characteristics and other factors that could impact early feedings and potentially the outcomes of interest, and found that DOL14 HM-DD remained significantly associated with the number of hospitalizations through the first year. While we could not identify specific clinical reasons for variation in feeding initiation, we attempted to adjust for covariates that may be associated with variation in enteral feedings and/or HM feedings. Ehrenkranz et al reported in ELBW infants that early nutrition acts as a mediator of the relationship between critical illness in the first weeks of life and later outcomes, including neurodevelopment in the second year of life.(26) They also demonstrated an independent effect of early nutrition on post-discharge outcomes even after controlling for infant acuity. While Ehrenkranz et al utilized total energy from parenteral and enteral sources as a measure of early nutrition, our study focused on enteral nutrition only, and specifically HM. Although our analysis did not include parenteral nutrition, all infants were managed on the same parenteral nutrition protocol. Several recent publications link high-dose HM feedings in the first 10 to 28 DOL to improved health outcomes in premature infants that manifest well past this early window and through to seven years of age.(12,27,28) In a secondary analysis of data from the NICHD-funded Glutamine Trial that enrolled 1433 ELBW infants from 15 centers,(29) Meinzen-Derr et al reported a dose-response relationship between HM intake in the first 14 DOL and a reduction in the risk of NEC or death later in the NICU hospitalization.(28) Similarly, Sisk et al found that VLBW infants who received ≥ 50% of enteral feedings as HM during the first 14 DOL were six times less likely to develop NEC later in the NICU hospitalization,(30) and Corpeleijn et al found that VLBW infants receiving any HM feedings during the first 5 DOL and at least 50% of intake as HM during DOL 6–10 had a reduction in NEC, sepsis and mortality to 60 DOL.(12) Additionally, in a matched case control study of infants with and without late onset sepsis, Trend et al found that the daily and cumulative amount of HM consumed by infants prior to developing sepsis was significantly lower than consumption by infants who did not develop sepsis.(31) Most recently, receipt of predominantly HM feedings during the first 28 DOL was associated with greater deep nuclear grey matter, IQ, academic achievement, working memory and motor function at 7 years in infants born <30 weeks of gestation.(27) Our study cohort differs significantly from subjects in these studies in that 96% of infants in our cohort received some HM during the first 14 DOL, with 66% receiving exclusive HM and a mean HM dose of 84% ± 31%. In contrast, Meinzen-Derr et al reported 73% of infants received some HM in the first 14 DOL with 32% receiving exclusive HM and a mean HM dose of 53% ± 46%.(28) Corpeleijn et al reported 88% of infants received some HM in the first 10 DOL with 2% receiving exclusive HM.(12) Thus, our high rate of exclusive HM intake may have limited our ability to detect an effect using HM percent as the method to quantify HM dose in the first 14 DOL. While the cumulative findings from the clinical studies above do not specifically address health care utilization, they suggest a critical window in the very early post-birth period during which HM may be especially important in selective growth, development and protection of immature organs and pathways. This explanation is supported by several mechanistic studies that posit a role for HM in the programming of the infant gut microbiota via the HM microbiome and HM oligosaccharides as well as roles for HM in gut integrity, immunomodulation, neuroprotection and the downregulation of inflammation and oxidative stress.(32–35) We speculate that the effect of HM-DD on hospitalizations may be mediated by a reduction in the incidence of neonatal morbidities that are commonly associated with re-hospitalizations after NICU discharge.(2,4,10–13) Our findings have significant societal implications in terms of cost savings because HM acquisition from the mother during the initial NICU hospitalization is low cost relative to its benefits.(35) National data indicate the median cost per rehospitalization in the first year of life was $6000 in 2001 US dollars (approximately $10,440 in 2017 US dollars) for preterm and low birth weight infants.(36,37) Thus, reducing potentially preventable hospitalizations through HM feedings during the early post-birth period could translate into substantial health care savings. In the unadjusted models, HM-DD was also associated with reductions in early intervention services to prevent and treat developmental disability, such as speech and language, occupational, physical and behavioral therapy.(9) However, we found only an association between HM-DD and specialized therapy utilization after adjustment for risk factors at 2 years. This finding may reflect the fact we categorized infants according to receipt of specialized therapies rather than by whether infants qualified for therapy, although 43% of the infants in our study were automatically eligible for Early Intervention services in Illinois due to birth weights less than 1000g. We have previously shown that up to 28% of ELBW infants seen in NICU follow-up require referral for therapies not being received,(38) and as such, our numbers may underestimate the services these infants should be receiving. Thus, the impact of early HM feedings on the types of specialized therapies used may be underestimated in our data. Although a strength of our study is the detailed, prospectively collected HM dose and neonatal data, there are several limitations. Health care utilization data were collected retrospectively from clinic medical records based on information reported by the caregivers, and our findings are limited to hospitalizations, ED visits, subspecialists and therapies and do not include hospital admission diagnoses, reason for visit, or information on primary care. Utilization data were obtained by parent report and thus subject to recall bias. While 95% of eligible infants were enrolled in the original prospective study, and 80% completed at least one clinic visit, only 60% completed the 2-year visit. Children who did not complete any follow-up visit were less likely to have BPD and more likely to be born to Black/African American mothers with less than a college degree. Inclusion of this group may have altered our results; however, there were no significant differences between the groups with respect to DOL14 DD-HM, birth weight, gestational age, and insurance coverage which may be associated with high health care use.(39–42) Additionally, poverty has been shown to be associated with greater health care utilization(40,42) and lower rates of HM provision.(43) However, in our minority and low-income cohort, the majority of infants received 100% HM during the first 14 DOL. Additionally, we adjusted for sociodemographic factors in our analyses by including insurance status and maternal education. Another limitation is the potential that our findings reflect that DOL14 DD-HM may serve as a surrogate for infant acuity, with healthier infants receiving higher DD-HM, rather than an independent relationship between DD-HM and health care utilization. Through our inclusion of multiple covariates that could impact DD-HM as well as later health care utilization, we attempted to account for this limitation. While common neonatal morbidities have been associated with later health care utilization,(2,4) these were not included in the regression models. This exclusion was based on the fact that these morbidities might serve as mediators of the effect of DD-HM on later outcomes, since HM has been demonstrated in numerous studies to provide risk-reduction for these morbidities.(10–13) We have demonstrated in this diverse, urban cohort of VLBW infants that there is a dose-dependent relationship between increasing HM intake during the first 14 DOL and a reduction in hospitalizations after NICU discharge. The impact of HM on hospitalizations was seen even after controlling for neonatal and social risk. Conversely, increasing HM intake over the first 28 days or the entire NICU hospitalization was not associated with a reduction in health care utilization, thus suggesting there may be a critical window during which time HM dose may have the greatest benefit. Thus high-dose HM intake should be prioritized early in the NICU stay to help alleviate the risks and costs of health problems in this population.
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Journal:  J Pediatr       Date:  2017-09-08       Impact factor: 4.406

Review 6.  Breastfeeding and childhood acute otitis media: a systematic review and meta-analysis.

Authors:  G Bowatte; R Tham; K J Allen; D J Tan; Mxz Lau; X Dai; C J Lodge
Journal:  Acta Paediatr       Date:  2015-12       Impact factor: 2.299

7.  Predictors of prolonged length of hospital stay or readmissions for acute viral lower respiratory tract infections among infants with a history of bronchopulmonary dysplasia.

Authors:  Carlos E Rodriguez-Martinez; Ranniery Acuña-Cordero; Monica P Sossa-Briceño
Journal:  J Med Virol       Date:  2017-11-07       Impact factor: 2.327

8.  Positive effect of human milk feeding during NICU hospitalization on 24 month neurodevelopment of very low birth weight infants: an Italian cohort study.

Authors:  Dino Gibertoni; Luigi Corvaglia; Silvia Vandini; Paola Rucci; Silvia Savini; Rosina Alessandroni; Alessandra Sansavini; Maria Pia Fantini; Giacomo Faldella
Journal:  PLoS One       Date:  2015-01-15       Impact factor: 3.240

9.  Use of hospital-based health care services among children aged 1 through 9 years who were born very preterm - a population-based study.

Authors:  Søren T Klitkou; Tor Iversen; Hans J Stensvold; Arild Rønnestad
Journal:  BMC Health Serv Res       Date:  2017-08-17       Impact factor: 2.655

10.  Impact of early human milk on sepsis and health-care costs in very low birth weight infants.

Authors:  A L Patel; T J Johnson; J L Engstrom; L F Fogg; B J Jegier; H R Bigger; P P Meier
Journal:  J Perinatol       Date:  2013-01-31       Impact factor: 2.521

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  6 in total

1.  Is Mother's Own Milk Lactoferrin Intake Associated with Reduced Neonatal Sepsis, Necrotizing Enterocolitis, and Death?

Authors:  Theresa J Ochoa; Karina Mendoza; Cesar Carcamo; Jaime Zegarra; Sicilia Bellomo; Jan Jacobs; Veerle Cossey
Journal:  Neonatology       Date:  2020-02-13       Impact factor: 4.035

2.  Breastfeeding peer counselling for mothers of preterm neonates: protocol of a stepped-wedge cluster randomised controlled trial.

Authors:  Sophie Laborie; Angelique Denis; Antje Horsch; Pauline Occelli; Jennifer Margier; Mathilde Morisod Harari; Olivier Claris; Sandrine Touzet; Celine Julie Fischer Fumeaux
Journal:  BMJ Open       Date:  2020-01-30       Impact factor: 2.692

Review 3.  Racial and socioeconomic disparities in breast milk feedings in US neonatal intensive care units.

Authors:  Aloka L Patel; Tricia J Johnson; Paula P Meier
Journal:  Pediatr Res       Date:  2020-11-13       Impact factor: 3.756

4.  A prospective cohort study on lactation status and breastfeeding challenges in mothers giving birth to preterm infants.

Authors:  Dingding Dong; Xifang Ru; Xiaofang Huang; Tian Sang; Shan Li; Ying Wang; Qi Feng
Journal:  Int Breastfeed J       Date:  2022-01-10       Impact factor: 3.461

5.  Cost Savings of Mother's Own Milk for Very Low Birth Weight Infants in the Neonatal Intensive Care Unit.

Authors:  Tricia J Johnson; Aloka L Patel; Michael E Schoeny; Paula P Meier
Journal:  Pharmacoecon Open       Date:  2022-02-11

6.  Proactive Lactation Care is Associated With Improved Outcomes in a Referral NICU.

Authors:  Rebecca Hoban; Laura McLean; Samantha Sullivan; Caroline Currie
Journal:  J Hum Lact       Date:  2021-02-13       Impact factor: 2.219

  6 in total

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