OBJECTIVES

We assessed the effect of feeding preterm or low birth weight infants with infant formula compared with mother’s own milk on mortality, morbidity, growth, neurodevelopment, and disability.

METHODS

We searched Medline (Ovid), Embase (Ovid), and Cochrane Central Register of Controlled Studies to October 1, 2021.

RESULTS

Forty-two studies enrolling 89 638 infants fulfilled the inclusion criteria. We did not find evidence of an effect on mortality (odds ratio [OR] 1.26, 95% confidence interval [CI] 0.91–1.76), infection (OR 1.52, 95% CI 0.98–2.37), cognitive neurodevelopment (standardized mean difference −1.30, 95% CI −3.53 to 0.93), or on growth parameters. Formula milk feeding increased the risk of necrotizing enterocolitis (OR 2.99, 95% CI 1.75–5.11). The Grading of Recommendations Assessment, Development, and Evaluation certainty of evidence was low for mortality and necrotizing enterocolitis, and very low for neurodevelopment and growth outcomes.

CONCLUSIONS

In preterm and low birth weight infants, low to very low-certainty evidence indicates that feeding with infant formula compared with mother’s own milk has little effect on all-cause mortality, infection, growth, or neurodevelopment, and a higher risk of developing necrotizing enterocolitis.

Preterm (<37 weeks’ gestation) and low birth weight (LBW) (<2.5 kg) infants have limited nutrient reserves at birth and are subject to many physiologic and metabolic stresses that increase their nutrient needs.1  Formula milks (eg, artificial infant formulas) can be manipulated to contain higher amounts of nutrients (such as protein) than mother’s own milk.2,3  However, formula milks do not contain the immunomodulators and nutrients present in human milk that stimulate the immune system, protect the immature gut, and promote neurodevelopment.2,4  There are many new infant formulas; however, the last systematic reviews were conducted in 2011 and 2019 and there have been no recent reviews of the effectiveness of infant formula and other formula milks compared with mother’s own milk on outcomes in preterm and LBW infants.5,6 

Our primary objective was to evaluate the effect of formula milks compared with mother’s own milk on primary outcomes (mortality, morbidity, growth, neurodevelopment, and disability) in preterm and LBW infants. Our secondary objectives were to determine the effect of gestational age (<32 weeks), birth weight (<1.5 kg), and exclusivity of mother’s own milk (ie, if the mother’s own milk was the sole diet [ie, 100% mother’s own milk]), on health outcomes of preterm or LBW infants.

This review was registered in PROSPERO (#CRD42021283008). Preferred Reporting Items for Systematic Reviews and Meta-Analyses-Protocol guidance was followed.7 

We included randomized controlled studies (RCTs), cohort, cross-sectional, and case-control studies. Case reports and studies published in abstract form only were excluded. All settings were included, such as home and health facility, within any country.

Only preterm or LBW infants were included. Normal weight or term infants were excluded.

The intervention was any formula milk which included artificial infant formula (including cow’s milk protein, soy protein, other protein, or hydrolyzed formula) or other animal milk. Infants could receive mother’s own milk or donor human milk, as long as most (>50%) of the milk was formula. Infants had to receive the intervention in the neonatal period (0–27 days).

The control was mother’s own milk. Infants could also receive other milks (ie, donor human milk, formula milk, formula) as long as most (>50%) of the milk was mother’s own.

In both the intervention and control groups, the infants could receive any water-based fluids.

The primary outcome was infant all-cause mortality.

The secondary outcomes were:

  • necrotizing enterocolitis as defined by the study authors;

  • severe infections (eg, sepsis, pneumonia, meningitis) as defined by the study authors;

  • neurodevelopment defined as: neurodevelopmental scores measured using validated assessment tools in the main domains (cognitive, motor, language) of standardized assessment tools such as the Bayley Scales of Infant and Toddler Development, Third Edition, or the Weschler Wechsler Intelligence Scale for Children;

  • disability defined as: nonambulant cerebral palsy; developmental quotient >2 SDs below the population mean; blindness (visual acuity <6 of 60) or deafness (any hearing impairment requiring or unimproved by amplification); and

  • growth (weight, length, head circumference, mid-upper arm circumference, skinfold thickness) absolute change measured as grams or centimeters, standardized change measured as z-score, or percentile compared with a population reference.

The timing of the outcome assessment was at hospital discharge and at latest follow-up time recorded.

This is an update of a 2011 systematic review.5  Electronic databases were searched from January 1, 2011, to October 1, 2021. Databases included Medline (Ovid), Embase (Ovid), and Cochrane Central Register of Controlled Studies. In addition, we completed manual reference checks of existing reviews and of papers that were included in the review. All studies from the 2011 systematic review were included.5  Appendix 1 provides the search strategy used and Appendix 2 shows the Preferred Reporting Items for Systematic Reviews and Meta-Analyses flowchart.

Selection of studies and data extraction was conducted by 2 authors and followed standard methods.8  Data extracted included: country, study design, study setting (facility [infant born and followed-up in the facility until discharge] or “whole population” [ie, infant born and followed-up at home or the facility]), gestational age, birth weight, and milks given in intervention and control groups.

Two review authors judged the risk of bias using standard methods, including the ROBINS-I tool (risk of bias in nonrandomized studies of interventions).9  Where possible, funnel plots and Egger’s test were used to assess publication bias.

For dichotomous data, we summarized results using risk ratios and, where this was not possible, odds ratios (ORs) with 95% confidence intervals (CIs). For continuous data, we summarized results using the mean difference (MD) with 95% CIs or standardized mean difference (SMD) when different methods or scales were used between studies.10 

We considered all studies to be highly heterogenous, so we used random-effects models to calculate pooled estimates for all outcomes. Where available, we used study level adjusted effect sizes to calculate pooled estimates and, when not available, we used raw data. We imputed missing data on the basis of Cochrane methods.8  Restricted maximum likelihood estimates and Knapp–Hartung SEs were used.11  We also assessed forest plots visually for heterogeneity, and considered I-squared values >50% to represent substantial heterogeneity. All analyses were done using Stata 16.1.

Our a priori subgroup analyses were:

  1. gestational age and weight at birth (studies enrolling only infants <32 weeks’ gestation or <1.5 kg at birth compared with studies that did not restrict enrollment on the basis of gestational age or birth weight); and

  2. exclusivity of mother’s own milk in the comparison arms (ie, studies providing mother’s own milk as the sole diet [ie, 100% mother’s own milk]) compared with studies providing other milks (eg, artificial infant formula, other animal milk, donor human milk) or foods (eg, porridge) mixed with mother’s own milk.

We had also planned to stratify analyses by high-, middle-, and low-income settings; however, there were no low-income studies and only 3 middle-income studies. We completed a sensitivity analysis to determine the robustness of the growth income by excluding 1 study that contributed a large sample size.12  We also planned a sensitivity analysis excluding studies at serious or critical risk of bias; however, only 1 study did not have serious or critical risk of bias.

We prepared a summary of findings table for each outcome using Grading of Recommendations Assessment, Development and Evaluation (GRADE) and GRADEPro guideline development tool software to assess the quality of the body of evidence, consistency of effect, imprecision, indirectness, and publication bias for each outcome.1315 

The search resulted in 5170 records. After screening titles and abstracts, 89 records were retrieved. Sixty-three reports were excluded with reasons (Appendix 2). We identified 26 new articles reporting on new studies. Combined with the 19 studies from the previous review, 42 studies were included in the narrative review and 36 studies provided data for meta-analysis.12,1448  Of the 42 studies there were no RCTs, but there were 34 cohort,12,16,18,20,2729,3160  5 cross-sectional,19,22,23,26,30  and 3 case-control studies17,21,25  (Appendix 3). Studies were from 21 countries: Australia, Belgium, Chile, China, Germany, Ghana, Greece, Hong Kong, India, Israel, Italy, Japan, Nepal, Netherlands, New Zealand, Poland, Romania, Spain, Sweden, the United Kingdom, and the United States. Thirty-six studies were implemented in NICUs and special care nurser ies,12,16,18,19,21,23,2531,3335,3739,4160  and 6 were whole population studies.17,20,22,32,36,40 

In total, there were 89 638 preterm and/or LBW infants included in the review, of whom 74 656 were in the formula group and 14 982 were in the mother’s own milk group. Of the infants included in the review, 77 892 were infants born at <32 weeks’ gestational age and 76  796 were infants weighing <1.5 kg at birth. Twenty studies enrolled infants <32 weeks’ gestation and/or <1.5 kg at birth,12,16,18,22,23,26,3033,4146,4953,57,59  and 22 studies did not restrict enrollment on the basis of gestational age or birth weight.17,1921,25,2729,3440,47,48,5456,58,60  In the intervention arm, 24 studies provided formula milk only (ie, formula was the sole diet)12,1618,2123,2629,3235,37,38,4144,49,51,52,55,59,60  (Appendix 3 and 4). In the control arm, 9 studies provided mother’s own milk only (ie, mother’s own milk was the sole diet).20,26,3133,36,49,51,52  The proportion of formula and mother’s own milk provided in each study is given in Appendix 4. All formula milks, where information was provided, were artificial cow’s milk protein-based. There were no other types of other protein base (eg, soy or goat milk protein) and no hydrolyzed formula in the studies. Seventeen studies provided donor milk in either the intervention or control groups.12,1719,21,28,34,35,37,39,4448,54,55  A total of 36 studies of 88 741 infants provided data for meta-analysis.

One study contributed 81% (n = 72 997) of the overall sample in the review.12  This study only reported on growth (ie, did not report on mortality, morbidity, or neurodevelopment). After excluding the infants in this study, there were 10 636 infants in the formula group and 6005 infants in the mother’s own milk group. A total of 5258 were infants born at <32 weeks’ gestational age and 4128 were infants weighing <1.5 kg at birth.

A risk of bias assessment was completed for the 36 studies included in the meta-analysis (Appendix 5). No studies had low risk of bias. Nineteen had critical,16,21,26,27,29,30,33,34,36,39,4143,4754,56  16 had serious,12,1720,22,23,25,28,35,37,38,4446,55  and 1 had moderate31  risk of bias. Most biases were because of confounding (Appendix 5). Three studies in the sepsis outcome had small study effects (ie, events ranging from 0 to 2) in the intervention and/or control groups (Egger test P = .0459; funnel plot 5.4) (Appendix 5).31,47,51  No other outcomes had obvious publication bias or small study effects in any analyses (funnel plots shown in Appendix 5).

At discharge, there was little effect of the intervention (formula milk) on the primary outcome (all-cause mortality) (OR 1.26; 95% CI 0.91–1.76; I2 = 0%; low certainty evidence; 5 trials, 9625 participants) (Appendix 6) or the severe infection outcome (OR 1.52; 95% CI 0.98–2.37; very low certainty evidence; 15 studies; 2572 participants) (Appendix 6). However, at discharge, there was a threefold effect of the intervention on necrotizing enterocolitis (OR 2.99; 95% CI 1.75–5.11; low certainty evidence; 15 studies; 3013 participants) (Appendix 6).

At latest follow-up (between 91 and 416 weeks), there was little or no effect on cognitive neurodevelopment (SMD −1.30, 95% CI −3.53 to 0.93; very low certainty evidence; 8 studies, 1560 participants) (Appendix 6). Similarly, there was little to no effect on language neurodevelopment among groups (SMD 0.02, 95% CI −0.39 to 0.43; very low certainty evidence; 3 studies, 587 participants) (Appendix 6).

There was little or no effect of the intervention on change from birth to discharge weight z-score (MD 0.03; 95% CI −0.15 to 0.21; very low certainty evidence; 6 studies, 74 130 participants) (Appendix 6). At latest follow-up (range 39–416 weeks), there was little to no effect on weight z-score (MD 0.14; 95% CI −0.76 to 1.05; very low certainty evidence; 3 studies; 271 participants) (Appendix 6). There was also little to no evidence of increase in length (MD 0.33; 95% CI −0.40 to 1.05; very low certainty evidence; 9 studies; 1048 participants) (Appendix 6) or head circumference (MD 0.26; 95% CI −0.35 to 0.87; very low certainty evidence; 9 studies; 1550 participants) (Appendix 6). At latest follow-up (range 39–416 weeks), there was little to no evidence of a difference in length z-scores among groups (MD 0.06; 95% CI −0.81 to 0.92; very low certainty evidence; 3 studies; 271 participants) (Appendix 6). No studies reported other growth outcomes. Results of the summary of findings are presented in Table 1.

There were no differences in the effect of the intervention in studies that enrolled infants <32 weeks’ gestation and/or <1.5 kg at birth compared with studies which did not restrict enrollment on the basis of gestational age or birth weight (Appendix 7).

There were no differences in the effect of the intervention on primary outcomes in infants who received mother’s own milk as a sole diet in the control group compared with infants who received a mixture of mother’s own milk and other milks (Appendix 8).

A sensitivity analysis was completed for weight z-score at latest follow-up by excluding the study with the large sample size (n = 72 997).12  After removing this study, there was little change to results (MD 0.01; 95% CI −0.28 to 0.30; 5 studies; 1133 participants) (Appendix 9).

In our systematic review of 42 observational studies enrolling 89 638 preterm and LBW infants, we found that formula milks had little or no effect compared with mother’s own milk on mortality, severe infection, neurodevelopment, weight, length, or head circumference at discharge or latest follow-up, but found a threefold increase in necrotizing enterocolitis. We found no differential effect in the 17 studies enrolling only infants <32 weeks’ gestation or <1.5 kg at birth compared with the 19 studies that did not restrict enrollment on the basis of gestational age or birth weight. We also found no differential effect in the 8 studies providing mother’s own milk as the sole diet compared with the 28 studies providing other milks (eg, artificial infant formula, other animal milk, donor human milk) or foods (eg, porridge) mixed with mother’s own milk.

The previous systematic review of 19 observational studies enrolling 13 027 infants reported low certainty evidence that formula milk was associated with an increase in mortality and the combined outcome of severe infection and necrotizing enterocolitis compared with mother’s own milk in preterm and LBW infants.5  Formula milk was also associated with increased length and decreased neurodevelopmental outcomes, but no change in weight outcomes. Our search found 19 new observational studies and increased the number of participants contributing data to 88 741. The addition of new studies to the mortality (Svenningsen 1982,47  Ruys 201741 ), length (Costa-Orvay 2011,49  Madore 2017,31  Mol 2019,52  Pieltan 2001,54  Ruys 201741 ) and neurodevelopment (O’Connor 200339 ) outcomes did not substantially change the effects reported in 2011, though strength of effect for all outcomes was reduced and there was no improvement in the certainty or quality of the evidence.

Three Cochrane reviews assessed the effects of human milk in preterm and LBW infants.6,61,62  In 2019, a Cochrane review of RCTs of the effects of formula compared with mother’s own milk located no trials.6  Also in 2019, a Cochrane review of RCTs reported moderate certainty evidence that formula milk increased weight, length, and head growth, and had a higher risk of necrotizing enterocolitis compared with donor human milk.62  The trial data did not show an effect on all-cause mortality, or on long-term growth or neurodevelopment. A Cochrane review of RCTs in 2020 also reported moderate certainty evidence that provision of multicomponent “fortifier” (powdered or liquid supplement with protein, carbohydrate, vitamins, and minerals added to human milk) increased short term in hospital weight, length, and head circumference compared with “unfortified” human milk, but evidence was insufficient to assess long-term effect on growth, neurodevelopment, mortality, or morbidity outcomes.61 

In addition to the above review, 3 non-Cochrane reviews were identified.6365  Each of these reviews only investigated 1 outcome per review, which included a range of in-hospital growth outcomes, bronchopulmonary dysplasia, and necrotizing enterocolitis. One review found that, for preterm and LBW infants, there was inconclusive evidence on the effect of formula compared with exclusive human milk on growth parameters including change in weight z-scores and head circumference.65  For preterm infants receiving exclusive human milk, there was an improvement in bronchopulmonary dysplasia compared with exclusive formula-fed infants; however, the review combined both RCTs and observational studies in their analysis.64  Similar to our observational study review, preterm infants who received human milk had a reduced risk of developing necrotizing enterocolitis than those who received formula.63  However, unlike our review, these reviews did not differentiate between whether infants received mainly mother’s own milk; only that they received exclusive (ie, mother’s own milk and/or donor milk) or any human milk.

Our review had some limitations. All evidence was low to very low certainty because of problems with confounding bias, unexplained heterogeneity, small sample sizes, and imprecision in many studies. Thirty-six studies recruited infants from health facilities only; there were only 6 studies that recruited infants from the whole population. Twenty-two studies recruited infants >32 weeks’ gestation. We had also planned to stratify analyses by high-, middle-, and low- income settings; however, there were no low-income studies and only 3 middle-income studies. We also planned a sensitivity analysis excluding studies at serious or critical risk of bias; however, only 1 study did not have serious or critical risk of bias. One study contributed a large sample size (n = 72 997) to the growth outcome and had the potential to bias outcomes. However, when we removed this study from the analysis, there was little change to the results. There is also much potential for misclassification between intervention and control groups (ie, switching between formula and mother’s own milk groups). This is because of the common practice of providing formula if mother’s own milk is not available and active promotion of breastfeeding in formula-fed infants. However, in our study, we defined the intervention and control groups as those receiving >50% (ie, “most or majority”) formula (intervention) or mother’s own milk (control) over the entire study period. We also assessed sole or exclusive diet as a subgroup. Some studies did not describe the amount of formula or mother’s own milk provided but we were able to estimate most or majority >50% for all studies. Other strengths of our study were the comprehensive search strategy and the inclusion of all study designs.

Overall, in preterm and LBW infants, our review shows low- to very low-certainty evidence that feeding with formula milks compared with mother’s own milk, either as a sole diet or mixed with other milks, has little effect on all-cause mortality, severe infection, growth, or neurodevelopment, and a higher risk of developing necrotizing enterocolitis. However, the quality of the observational evidence base must be improved. It is especially important to control studies for confounding and to conduct more studies in low-income countries and in infants born and cared for outside of health facilities.

Dr Strobel conceptualized and designed the study, designed the protocol and data collection instruments, collected data, conducted the initial analysis, and drafted the initial manuscript; Dr Adams reviewed the protocol and data collection instruments, and collected data; Dr McAullay reviewed the protocol; Dr Edmond conceptualized and designed the study, designed the protocol and the data collection instruments, collected data, and drafted the initial manuscript; and all authors reviewed and revised the manuscript, approved the final manuscript as submitted, and agree to be accountable for all aspects of the work.

This study is registered at PROSPERO, # CRD42021283008, https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42021283008. Data are available on request.

FUNDING: Edith Cowan University received funding from the World Health Organization (WHO) to complete this work. WHO commissioned the review for the guideline development group meeting for development of WHO recommendations on care of the preterm or low birth weight infant. WHO assisted in formulating the research questions and provided input on the synthesis of the results and manuscript.

CONFLICT OF INTEREST DISCLAIMER: Dr Edmond is an employee of the sponsor, the World Health Organization. The other authors have indicated they have no conflicts of interest relevant to this article to disclose.

CI

confidence interval

GRADE

Grading of Recommendations Assessment, Development, and Evaluation

LBW

low birth weight

MD

mean difference

OR

odds ratio

RCT

randomized controlled trial

SMD

standardized mean difference

1
World Health Orgnaization
.
Optimal Feeding of the Low Birth Weight Infant. Technical review. ISB 9241595094
.
Geneva
:
WHO
;
2006
2
Agostoni
C
,
Buonocore
G
,
Carnielli
VP
, et al.
ESPGHAN Committee on Nutrition
.
Enteral nutrient supply for preterm infants: commentary from the European Society of Paediatric Gastroenterology, Hepatology and Nutrition Committee on Nutrition
.
J Pediatr Gastroenterol Nutr
.
2010
;
50
(
1
):
85
91
3
Embleton
ND
,
Berrington
JE
,
Dorling
J
, et al
.
Mechanisms affecting the gut of preterm infants in enteral feeding trials
.
Front Nutr
.
2017
;
4
:
14
4
Walsh
V
,
McGuire
W
.
Immunonutrition for preterm infants
.
Neonatology
.
2019
;
115
(
4
):
398
405
5
World Health Orgnaization
.
Guidelines on Optimal Feeding of Low Birth weight Infants in Low- and Middle-Income Countries
.
Geneva
:
WHO
;
2011
6
Brown
JVE
,
Walsh
V
,
McGuire
W
.
Formula versus maternal breast milk for feeding preterm or low birth weight infants
.
Cochrane Database Syst Rev
.
2019
;
8
(
8
):
CD002972
7
Shamseer
L
,
Moher
D
,
Clarke
M
, et al.
PRISMA-P Group
.
Preferred reporting items for systematic review and meta-analysis protocols (PRISMA-P) 2015: elaboration and explanation
.
BMJ
.
2015
;
350
:
g7647
8
Higgins
JPT
,
Thomas
J
,
Chandler
J
, et al
.
Cochrane Handbook for Systematic Reviews of Interventions version 6.2
.
Available at: www.training.cochrane.org/handbook. Accessed May 1, 2022
9
Sterne
JA
,
Hernán
MA
,
Reeves
BC
, et al
.
ROBINS-I: a tool for assessing risk of bias in non-randomised studies of interventions
.
BMJ
.
2016
;
355
:
i4919
10
Higgins
JP
,
Li
T
,
Deeks
JJ
.
Chapter 6: Choosing effect measures and computing estimates of effect
. In:
Higgins
JP
,
Thomas
J
,
Chandler
J
, et al, eds.
Cochrane Handbook for Systematic Reviews of Interventions Version 62
.
Available at: https://training.cochrane.org/handbook/current. Accessed May 1, 2022
11
Hartung
J
,
Knapp
G
.
A refined method for the meta-analysis of controlled clinical trials with binary outcome
.
Stat Med
.
2001
;
20
(
24
):
3875
3889
12
Belfort
MB
,
Edwards
EM
,
Greenberg
LT
,
Parker
MG
,
Ehret
DY
,
Horbar
JD
.
Diet, weight gain, and head growth in hospitalized US very preterm infants: a 10-year observational study
.
Am J Clin Nutr
.
2019
;
109
(
5
):
1373
1379
13
Guyatt
GH
,
Oxman
AD
,
Vist
GE
, et al.
GRADE Working Group
.
GRADE: an emerging consensus on rating quality of evidence and strength of recommendations
.
BMJ
.
2008
;
336
(
7650
):
924
926
14
Schünemann
HJOA
,
Vist
GE
,
Higgins
JPT
, et al
. In:
Schünemann
H
,
Brożek
J
,
Guyatt
G
,
Oxman
A
, eds.
GRADE Handbook for Grading Quality of Evidence and Strength of Recommendations
.
Available at: https://gdt.gradepro.org/app/handbook/handbook.html. Accessed June 30, 2022
15
GRADEpro GDT
.
GRADEpro guideline development tool. [software]
.
Available at: gradepro.org. 2021. Accessed July 2021
16
Amesz
EM
,
Schaafsma
A
,
Cranendonk
A
,
Lafeber
HN
.
Optimal growth and lower fat mass in preterm infants fed a protein-enriched postdischarge formula
.
J Pediatr Gastroenterol Nutr
.
2010
;
50
(
2
):
200
207
17
Chen
A
,
Rogan
WJ
.
Breastfeeding and the risk of postneonatal death in the United States
.
Pediatrics
.
2004
;
113
(
5
):
e435
e439
18
Doyle
LW
,
Rickards
AL
,
Kelly
EA
,
Ford
GW
,
Callanan
C
.
Breastfeeding and intelligence
.
Lancet
.
1992
;
339
(
8795
):
744
745
19
Dritsakou
K
,
Liosis
G
,
Valsami
G
,
Polychronopoulos
E
,
Skouroliakou
M
.
Improved outcomes of feeding low birth weight infants with predominantly raw human milk versus donor banked milk and formula
.
J Matern Fetal Neonatal Med
.
2016
;
29
(
7
):
1131
1138
20
Edmond
KM
,
Kirkwood
BR
,
Tawiah
CA
,
Owusu Agyei
S
.
Impact of early infant feeding practices on mortality in low birth weight infants from rural Ghana
.
J Perinatol
.
2008
;
28
(
6
):
438
444
21
Henderson
G
,
Craig
S
,
Brocklehurst
P
,
McGuire
W
.
Enteral feeding regimens and necrotizing enterocolitis in preterm infants: a multicentre case-control study
.
Arch Dis Child Fetal Neonatal Ed
.
2009
;
94
(
2
):
F120
F123
22
Horwood
LJ
,
Darlow
BA
,
Mogridge
N
.
Breast milk feeding and cognitive ability at 7–8 years
.
Arch Dis Child Fetal Neonatal Ed
.
2001
;
84
(
1
):
F23
F27
23
Hylander
MA
,
Strobino
DM
,
Dhanireddy
R
.
Human milk feedings and infection among very low birth weight infants
.
Pediatrics
.
1998
;
102
(
3
):
E38
24
Järvenpää
AL
,
Räihä
NC
,
Rassin
DK
,
Gaull
GE
.
Feeding the low birth weight infant: I. Taurine and cholesterol supplementation of formula does not affect growth and metabolism
.
Pediatrics
.
1983
;
71
(
2
):
171
178
25
Levy
I
,
Comarsca
J
,
Davidovits
M
,
Klinger
G
,
Sirota
L
,
Linder
N
.
Urinary tract infection in preterm infants: the protective role of breastfeeding
.
Pediatr Nephrol
.
2009
;
24
(
3
):
527
531
26
Li
YW
,
Yan
CY
,
Yang
L
,
Han
ZL
.
[Effect of breastfeeding versus formula milk feeding on preterm infants in the neonatal intensive care unit]
.
Zhongguo Dang Dai Er Ke Za Zhi
.
2017
;
19
(
5
):
572
575
27
Lok
KYW
,
Chau
PH
,
Fan
HSL
, et al
.
Increase in weight in low birth weight and very low birth weight infants fed fortified breast milk versus formula milk: a retrospective cohort study
.
Nutrients
.
2017
;
9
(
5
):
E520
28
Lucas
A
,
Cole
TJ
.
Breast milk and neonatal necrotizing enterocolitis
.
Lancet
.
1990
;
336
(
8730
):
1519
1523
29
Lucas
A
,
Fewtrell
MS
,
Morley
R
, et al
.
Randomized trial of nutrient-enriched formula versus standard formula for postdischarge preterm infants
.
Pediatrics
.
2001
;
108
(
3
):
703
711
30
Maayan-Metzger
A
,
Avivi
S
,
Schushan-Eisen
I
,
Kuint
J
.
Human milk versus formula feeding among preterm infants: short-term outcomes
.
Am J Perinatol
.
2012
;
29
(
2
):
121
126
31
Madore
LS
,
Bora
S
,
Erdei
C
,
Jumani
T
,
Dengos
AR
,
Sen
S
.
Effects of donor breast milk feeding on growth and early neurodevelopmental outcomes in preterm infants: an observational study
.
Clin Ther
.
2017
;
39
(
6
):
1210
1220
32
Meinzen-Derr
J
,
Poindexter
B
,
Wrage
L
,
Morrow
AL
,
Stoll
B
,
Donovan
EF
.
Role of human milk in extremely low birth weight infants’ risk of necrotizing enterocolitis or death
.
J Perinatol
.
2009
;
29
(
1
):
57
62
33
Morlacchi
L
,
Roggero
P
,
Giannì
ML
, et al
.
Protein use and weight-gain quality in very low birth weight preterm infants fed human milk or formula
.
Am J Clin Nutr
.
2018
;
107
(
2
):
195
200
34
Morley
R
,
Cole
TJ
,
Powell
R
,
Lucas
A
.
Mother’s choice to provide breast milk and developmental outcome
.
Arch Dis Child
.
1988
;
63
(
11
):
1382
1385
35
Morley
R
,
Fewtrell
MS
,
Abbott
RA
,
Stephenson
T
,
MacFadyen
U
,
Lucas
A
.
Neurodevelopment in children born small for gestational age: a randomized trial of nutrient-enriched versus standard formula and comparison with a reference breastfed group
.
Pediatrics
.
2004
;
113
(
3 Pt 1
):
515
521
36
Mullany
LC
,
Katz
J
,
Li
YM
, et al
.
Breastfeeding patterns, time to initiation, and mortality risk among newborns in southern Nepal
.
J Nutr
.
2008
;
138
(
3
):
599
603
37
Narayanan
I
,
Prakash
K
,
Bala
S
,
Verma
RK
,
Gujral
VV
.
Partial supplementation with expressed breast milk for prevention of infection in low-birth-weight infants
.
Lancet
.
1980
;
2
(
8194
):
561
563
38
Narayanan
I
,
Prakash
K
,
Verma
RK
,
Gujral
VV
.
Administration of colostrum for the prevention of infection in the low birth weight infant in a developing country
.
J Trop Pediatr
.
1983
;
29
(
4
):
197
200
39
O’Connor
DL
,
Jacobs
J
,
Hall
R
, et al
.
Growth and development of premature infants fed predominantly human milk, predominantly premature infant formula, or a combination of human milk and premature formula
.
J Pediatr Gastroenterol Nutr
.
2003
;
37
(
4
):
437
446
40
Pollock
JI
.
Mother’s choice to provide breast milk and developmental outcome
.
Arch Dis Child
.
1989
;
64
(
5
):
763
764
41
Ruys
CA
,
Bröring
T
,
van Schie
PEM
, et al
.
Neurodevelopment of children born very preterm and/or with a very low birth weight: 8-year follow-up of a nutritional RCT
.
Clin Nutr ESPEN
.
2019
;
30
:
190
198
42
Ruys
CA
,
van de Lagemaat
M
,
Finken
MJ
,
Lafeber
HN
.
Follow-up of a randomized trial on postdischarge nutrition in preterm-born children at age 8 y
.
Am J Clin Nutr
.
2017
;
106
(
2
):
549
558
43
Ruys
CA
,
van der Voorn
B
,
Lafeber
HN
,
van de Lagemaat
M
,
Rotteveel
J
,
Finken
MJJ
.
Birth weight and postnatal growth in preterm born children are associated with cortisol in early infancy, but not at age 8 years
.
Psychoneuroendocrinology
.
2017
;
82
:
75
82
44
Schanler
RJ
,
Shulman
RJ
,
Lau
C
.
Feeding strategies for premature infants: beneficial outcomes of feeding fortified human milk versus preterm formula
.
Pediatrics
.
1999
;
103
(
6 Pt 1
):
1150
1157
45
Sisk
PM
,
Lambeth
TM
,
Rojas
MA
, et al
.
Necrotizing enterocolitis and growth in preterm infants fed predominantly maternal milk, pasteurized donor milk, or preterm formula: a retrospective study
.
Am J Perinatol
.
2017
;
34
(
7
):
676
683
46
Sisk
PM
,
Lovelady
CA
,
Dillard
RG
,
Gruber
KJ
,
O’Shea
TM
.
Early human milk feeding is associated with a lower risk of necrotizing enterocolitis in very low birth weight infants
.
J Perinatol
.
2007
;
27
(
7
):
428
433
47
Svenningsen
NW
,
Lindroth
M
,
Lindquist
B
.
Growth in relation to protein intake of low birth weight infants
.
Early Hum Dev
.
1982
;
6
(
1
):
47
58
48
Tanaka
K
,
Kon
N
,
Ohkawa
N
,
Yoshikawa
N
,
Shimizu
T
.
Does breastfeeding in the neonatal period influence the cognitive function of very low birth weight infants at 5 years of age?
Brain Dev
.
2009
;
31
(
4
):
288
293
49
Costa-Orvay
JA
,
Figueras-Aloy
J
,
Romera
G
,
Closa-Monasterolo
R
,
Carbonell-Estrany
X
.
The effects of varying protein and energy intakes on the growth and body composition of very low birth weight infants
.
Nutr J
.
2011
;
10
:
140
50
Maas
C
,
Wiechers
C
,
Bernhard
W
,
Poets
CF
,
Franz
AR
.
Early feeding of fortified breast milk and in-hospital-growth in very premature infants: a retrospective cohort analysis
.
BMC Pediatr
.
2013
;
13
:
178
51
Manea
A
,
Boia
M
,
Iacob
D
,
Dima
M
,
Iacob
RE
.
Benefits of early enteral nutrition in extremely low birth weight infants
.
Singapore Med J
.
2016
;
57
(
11
):
616
618
52
Mól
N
,
Zasada
M
,
Kwinta
P
.
Does type of feeding affect body composition in very low birth weight infants? A prospective cohort study
.
Pediatr Neonatol
.
2019
;
60
(
2
):
135
140
53
Petrova
A
,
Eccles
S
,
Mehta
R
.
Role of the proportional intake of fortified mother’s own milk in the weight gain pattern of their very preterm born infants
.
Nutrients
.
2020
;
12
(
6
):
E1571
54
Pieltain
C
,
De Curtis
M
,
Gérard
P
,
Rigo
J
.
Weight gain composition in preterm infants with dual energy X-ray absorptiometry
.
Pediatr Res
.
2001
;
49
(
1
):
120
124
55
Spiegler
J
,
Preuß
M
,
Gebauer
C
,
Bendiks
M
,
Herting
E
,
Göpel
W
.
German Neonatal Network (GNN)
;
German Neonatal Network GNN
.
Does breast milk influence the development of bronchopulmonary dysplasia?
J Pediatr
.
2016
;
169
:
76
80.e4
56
Tudehope
DI
,
Mitchell
F
,
Cowley
DM
.
A comparative study of a premature infant formula and preterm breast milk for low birthweight infants
.
Aust Paediatr J
.
1986
;
22
(
3
):
199
205
57
Corpeleijn
WE
,
Kouwenhoven
SM
,
Paap
MC
, et al
.
Intake of own mother’s milk during the first days of life is associated with decreased morbidity and mortality in very low birth weight infants during the first 60 days of life
.
Neonatology
.
2012
;
102
(
4
):
276
281
58
Kaempf
DE
,
Pflüger
MS
,
Thiele
AM
,
Hermanussen
M
,
Linderkamp
O
.
Influence of nutrition on growth in premature infants: assessment by knemometry
.
Ann Hum Biol
.
1998
;
25
(
2
):
127
136
59
Nicholl
RM
,
Gamsu
HR
.
Changes in growth and metabolism in very low birth weight infants fed with fortified breast milk
.
Acta Paediatr
.
1999
;
88
(
10
):
1056
1061
60
Warner
JT
,
Linton
HR
,
Dunstan
FD
,
Cartlidge
PH
.
Growth and metabolic responses in preterm infants fed fortified human milk or a preterm formula
.
Int J Clin Pract
.
1998
;
52
(
4
):
236
240
61
Brown
JV
,
Lin
L
,
Embleton
ND
,
Harding
JE
,
McGuire
W
.
Multinutrient fortification of human milk for preterm infants
.
Cochrane Database of Systematic Reviews
2020
; (
6
).
62
Quigley
M
,
Embleton
ND
,
McGuire
W
.
Formula versus donor breast milk for feeding preterm or low birth weight infants
.
Cochrane Database Syst Rev
.
2019
;
7
(
7
):
CD002971
63
Altobelli
E
,
Angeletti
PM
,
Verrotti
A
,
Petrocelli
R
.
The impact of human milk on necrotizing enterocolitis: a systematic review and meta-analysis
.
Nutrients
.
2020
;
12
(
5
):
1322
64
Huang
J
,
Zhang
L
,
Tang
J
, et al
.
Human milk as a protective factor for bronchopulmonary dysplasia: a systematic review and meta-analysis
.
Arch Dis Child Fetal Neonatal Ed
.
2019
;
104
(
2
):
F128
F136
65
Suganuma
M
,
Rumbold
AR
,
Miller
J
,
Chong
YF
,
Collins
CT
.
A systematic review and meta-analysis of human milk feeding and short-term growth in preterm and very low birth weight infants
.
Nutrients
.
2021
;
13
(
6
):
2089
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