BACKGROUND

Group B Streptococcus (GBS) is a major contributor to neonatal sepsis worldwide. Late-onset group B Streptococcus disease (LOGBS) and its risk factors remain poorly understood. The isolation of GBS from breast milk has been described in cases of LOGBS. This potential association has raised concerns for mothers and clinicians regarding the safety of ongoing breastfeeding. In this study, we aimed to investigate whether exposure to breast milk is associated with increased risk of LOGBS.

METHODS

A case-control study of LOGBS was conducted across 4 hospital networks in Victoria, Australia, including the 2 major tertiary pediatric centers in the state, to evaluate 11 years of data (2007–2017). Cases were captured initially from microbiology databases and recaptured with International Classification of Diseases discharge coding. Each case patient was matched with 4 controls to assess feeding status. Patients were matched for chronological age, gestation, discharge status, recruitment site, and calendar year.

RESULTS

We identified 92 cases of LOGBS: 73 cases on initial capture and 76 cases on the recapture analysis. Case patients were matched with 368 controls: 4 controls to each patient. Seventy-two patients were exposed to breast milk at the time of LOGBS (78.3%), compared with 274 controls (74.5%; odds ratio 1.2 [95% confidence interval 0.7–2.3]).

CONCLUSIONS

Breastfeeding was not associated with increased risk of LOGBS. Breast milk should not be tested for GBS during a first episode of LOGBS.

What’s Known on This Subject:

Case reports have described children with late-onset group B Streptococcus disease with group B Streptococcus cultured from breast milk. Although controversial, this has led to concern and to breast milk being implicated as a potential source for disease transmission.

What This Study Adds:

Breastfeeding was not associated with an increased likelihood of developing late-onset group B Streptococcus disease in our setting.

Group B Streptococcus (GBS), Streptococcus agalactiae, remains a major contributor to neonatal sepsis throughout the world. The mean incidence globally is described as 0.53 per 1000 live births.1,2  Neonatal GBS infection is classified into 2 main clinical syndromes: early-onset disease, which occurs from birth to the first 6 days of life, and late-onset disease, occurring from day 7 to day 89 of life.2  The incidence of late-onset disease is ∼0.1 to 0.4 per 1000 live births.26  A third classification group, very late-onset disease, exists likely as a continuation of late-onset disease occurring from day 90 of life onward.7,8  An increased prevalence of prematurity is usually observed within the late-onset group. It is important to consider immunodeficiency when very late-onset disease occurs in a term infant in the absence of any other apparent risk factor.9  Although well described in the literature, relapse or recurrence of early- or late-onset disease is uncommon, with an estimated incidence of 1%.10 

The pathogenesis of early-onset disease is well understood and results from perinatal vertical transmission to the infant from a mother who is colonized from either the anorectal or vaginal tracts. After the introduction of intrapartum antibiotic prophylaxis for women who are colonized with GBS or who have clinical risk factors, the incidence of early-onset disease has considerably reduced.2,11  The incidence of late-onset group B Streptococcus disease (LOGBS), however, remains unaffected by intrapartum antibiotic prophylaxis.12 

The mode of transmission for LOGBS, in contrast to early-onset disease, remains less well understood. In addition to vertical transmission of GBS, horizontal transmission is thought to play an important role. Potential sources include the postpartum mother, other household contacts, and even health care professionals within the hospital or community environment.1317  Although nosocomial outbreaks have been described, the most important known risk factor for LOGBS is maternal colonization.2,18  Serotypes of GBS strains isolated from infants with LOGBS correlate with matched maternal genital isolates. At birth, ∼50% of infants born to a mother who is colonized with GBS are found to be colonized with the maternal serotype.13,1922  Although the prevalence varies between regions, the overall global prevalence of maternal colonization is ∼20%.2,16,23  Heavy maternal colonization is associated with an increased prevalence of heavy neonatal colonization, which is itself a known risk factor for LOGBS.2,21,22,24  Prematurity and twin pregnancies have also been associated with an increased risk for LOGBS.18,2529  An asymptomatic twin of an infant who is infected is estimated to be at a 25-fold increased risk for LOGBS.27 

Case reports of LOGBS, especially recurrent disease, associated with the isolation of GBS in the breast milk have been described. This has led to the implication that “infected” breast milk may serve as a source of acquisition before invasive disease.25,3038  This association is controversial, especially given the substantial benefits of breastfeeding.3952  The implication that infected breast milk may be responsible for LOGBS can lead to maternal distress and has resulted in premature cessation of breastfeeding.26,29,31,34,5355  There are also reports of preterm infants fed with culture-positive breast milk expressed from a mother with clinical GBS mastitis who do not develop LOGBS.56,57 

Breastfeeding is the gold standard of feeding for all infants, and the American Academy of Pediatrics strongly advocates breastfeeding for both term and preterm infants, whenever possible, for at least the first 6 months of an infants’ life.44,58,59  The microbiota of breast milk plays an important role in the development of the neonatal gut microbiome and in providing protection against infection for the infant46,6062  in addition to the protection afforded by secretory immunoglobulin A obtained through the breast milk.43  The microbiologic testing of expressed breast milk for GBS is not without its risks. One review of 48 mothers of infants with LOGBS or recurrent GBS disease described 20 (42%) who stopped breastfeeding in response. Of these, 11 mothers (23% of total, 31% [11 of 35] of known outcomes) permanently ceased breastfeeding after their infant had a single episode of LOGBS.31 

There is a need to further describe the relationship between breastfeeding and the development of LOGBS. This study was designed to review the relationship and association between feeding with breast milk and GBS disease development.

This was a multicenter case-control study conducted across 4 health networks in Victoria, Australia. Study sites included both state tertiary pediatric hospitals, the Monash Children’s Hospital and the Royal Children’s Hospital, both in Melbourne. The NICU at the Monash Children’s Hospital is the largest in Victoria and is located within a tertiary health service with a large obstetric service. The Royal Children’s Hospital is a quaternary center and the largest tertiary pediatric hospital in Australia. Its NICU cares for outborn infants only. Two larger regional Victorian health services, Barwon Health and Bendigo Health, were also included. Data were collected (retrospectively) for the 11-year period from January 1, 2007, to December 31, 2017, across all sites.

A case of invasive GBS was defined as isolation of GBS from a normally sterile site (ie, blood, cerebrospinal fluid, synovial fluid, or pleural fluid). LOGBS was defined as presentation of invasive GBS disease after day 7 of life (we combined late onset, traditionally defined as disease between 7 and 89 days, with very late onset, defined as disease from 90 days onward).2  Recurrent disease was defined as a new invasive GBS episode occurring at any interval after the completion of apparently successful therapy for the initial episode.2,63 

For both patients and controls, feeding status was assessed as being fed exclusively with formula, being fed exclusively with breast milk, and mixed feeding. For analysis, however, the latter 2 were considered together.

Cases were identified by using capture-recapture analysis.64  Initial identification was done by using data extracted from each health service’s microbiology database of all positive results for blood, cerebrospinal fluid, and other fluid cultures in children aged <6 months. Recapture methodology was applied by using International Classification of Diseases, 10th Revision discharge coding to identify additional cases in which the initial microbiology was performed at a non–study site.65  The following specific codes were searched at all sites: A40.1, “sepsis due to Streptococcus, group B”; B95.1, “Streptococcus, group B, as the cause of diseases classified elsewhere”; and P36.0, “bacterial sepsis of newborn due to Streptococcus, group B.”66  In addition, the following nonspecific code was searched: P36.1, “sepsis of newborn due to other and unspecified streptococci.” After case identification, corresponding clinical notes were reviewed for confirmation of the case definition; data were subsequently collected by completion of a data collection form into Research Electronic Data Capture.67  Only patients with GBS isolated from a normally sterile site were included.

Given that the anticipated rate of breast milk exposure in patients and controls was >50%, 4 controls were selected as the maximum likely to improve detection rate of a true difference in exposure rates between the groups.68  Controls were matched on the basis of 5 participant characteristics: chronological age, gestational age, whether already discharged or still hospitalized since birth, recruitment site, and calendar year of presentation. Limited information was obtained from controls: demographics, maternal GBS screening status, and feeding status (assessed at time of admission to hospital for controls presenting from home or at the same chronological age of the patient for controls who were still inpatients from birth). Patients aged <2 months were matched to controls within 7 days of chronological age; patients aged 2 months or older were matched within 14 days. Controls were matched according to the gestational age of patients within commonly recognized prematurity definitions: extremely preterm, <28 weeks; very preterm, 28 to <32 weeks; moderate to late preterm, 32 to <37 weeks; and term, 37 to <42 weeks.69  Controls were matched for chronological age according to the patient’s age at time of disease onset. Controls were matched from the same recruitment site as the corresponding patient. If a patient was managed at >1 recruitment site, when possible, controls were matched to the initial site of presentation. Controls were preferentially matched within the same calendar year as patients.

Gestational age, birth discharge status, and recruitment sites were matched strictly, although flexibility was given for calendar year and chronological age if a control was unable to be identified fulfilling all matching criteria. For patients with recurrent disease, controls were matched only once and for the later episode.

Controls were identified by using International Classification of Diseases (ICD) code searching. The conditions were selected on the basis that feeding status did not influence the probability of disease development. For term and moderate to late preterm infants presenting from home with LOGBS, controls were matched by using the following ICD codes: N39.0, “urinary tract infection, site not specified”; J21.0, “acute bronchiolitis due to respiratory syncytial virus”; J21.1, “acute bronchiolitis due to human metapneumovirus”; and J21.8, “acute bronchiolitis due to other specified organisms.” For extremely and very preterm infants presenting from home and moderate to late preterm infants in whom matching left an incomplete match, ICD codes were used to identify all those cared for at that health network that year. The following ICD codes were used to identify extremely preterm infants, very preterm infants, and moderate to late preterm infants, respectively: P07.22, “extreme immaturity of newborn, gestational age 23 completed weeks”; P07.31, “preterm newborn, gestational age 28 completed weeks”; and P07.32, “preterm newborn, gestational age 29 completed weeks.” The clinical record for each preterm infant of matched gestation was reviewed for readmissions occurring within the chronological-age matching window.

For matching of preterm patients in whom the LOGBS episode occurred within their birth admission, controls were identified by using the previously described prematurity ICD codes. Age at discharge was calculated, and for controls, the feeding status at the matched chronological age during admission was reviewed.

Data were exported from Research Electronic Data Capture into Stata (version 14.0; Stata Corp, College Station, TX). Categorical data were presented as proportions, and continuous data were presented as mean or median. We used Fischer’s exact test for comparison of proportions, and for continuous data, we used t tests and the Wilcoxon rank tests for normally and nonnormally distributed data, as appropriate. Odds ratios and 95% confidence intervals (CIs) were calculated by using stratified data with a Mantel-Haenszel test.

Ninety-two LOGBS cases were identified across the 4 health networks during the 11-year study period: 73 cases on the initial capture analysis and 76 cases on the recapture analysis with specific ICD code searching (Fig 1). No additional cases were identified by using the non–GBS-specific P36.1 ICD code. There were 368 matched controls; all patients were matched to 4 controls. Among the 368 controls, 343 (93.2%) were matched completely and 6 (1.6%) were matched within an additional 7 to 14 days. All were matched for gestational age and birth discharge status. For one patient, a very preterm infant, the primary presentation was to one of the regional sites after discharge from the hospital. It was not possible to match for controls at the regional site; however, because the child required transfer to one of the tertiary centers, controls were matched at the tertiary site. Fourteen controls (3.8%) for 6 patients could not be matched for calendar year. Other criteria were preferentially matched, and these controls were identified from the preceding or following 2 calendar years. One control (0.3%) was not matched for chronological age (out by 2 days) or calendar year (preceding year to patient). The baseline demographics for sex, gestational age, and age at time of feeding assessment were all comparable.

FIGURE 1

Capture-recapture analysis for 11 years of LOGBS (2007–2017). A, Across all 4 health networks. B, Monash Children’s Hospital. C, The Royal Children’s Hospital. D, Barwon Health. E, Bendigo Health.

FIGURE 1

Capture-recapture analysis for 11 years of LOGBS (2007–2017). A, Across all 4 health networks. B, Monash Children’s Hospital. C, The Royal Children’s Hospital. D, Barwon Health. E, Bendigo Health.

Close modal

Even after removal of missing data, patients (28 of 48) were significantly more likely to be born to a mother who screened positive for GBS than controls (37 of 107; P = .003; Table 1).

TABLE 1

Infant Demographics of Patients Presenting With LOGBS and Matched Controls

Patients (n = 92)Controls (n = 368)P
Sex, male, n (%) 52 (56.6) 223 (60.7) .48 
GBS sepsis, n (No. patient cases)    
 Any episode 100 (92) 368 (92) — 
 LOD 89 (85) 340 (85) — 
 VLOD 10 (10) 40 (10) — 
 Recurrent disease 17 (9) 36 (9) — 
Age at LOGBS diagnosis, median (IQR), d    
 Any episode (n = 100) 34.0 (19.0–58.5) 35.0 (21.0–57.0) .81 
 LOD 31.0 (18.0–46.0) 34.0 (20.0–45.5) .53 
 VLOD 103.0 (97.0–107.0) 99.0 (91.5–114.5) .64 
Gestational age at birth, median (IQR), wk    
 All cases (n = 92) 37.4 (32.4–39.5) 37.0 (32.6–39.0) .18 
 LOD 37.3 (33.3–39.3) 37.0 (33.2–39.0) .29 
 VLOD 28.5 (26.5–40.0) 30.0 (26.3–37.0) .68 
Maternal GBS screening status    
 Missing information, n 14 163 — 
 Not tested, n 30 98 — 
 Tested, n (% of available data) 48 (52.2) 107 (29.1) — 
  Negative results 20 (41.7) 70 (65.4) — 
  Positive results 28 (58.3) 37 (36.6) .003 
Patients (n = 92)Controls (n = 368)P
Sex, male, n (%) 52 (56.6) 223 (60.7) .48 
GBS sepsis, n (No. patient cases)    
 Any episode 100 (92) 368 (92) — 
 LOD 89 (85) 340 (85) — 
 VLOD 10 (10) 40 (10) — 
 Recurrent disease 17 (9) 36 (9) — 
Age at LOGBS diagnosis, median (IQR), d    
 Any episode (n = 100) 34.0 (19.0–58.5) 35.0 (21.0–57.0) .81 
 LOD 31.0 (18.0–46.0) 34.0 (20.0–45.5) .53 
 VLOD 103.0 (97.0–107.0) 99.0 (91.5–114.5) .64 
Gestational age at birth, median (IQR), wk    
 All cases (n = 92) 37.4 (32.4–39.5) 37.0 (32.6–39.0) .18 
 LOD 37.3 (33.3–39.3) 37.0 (33.2–39.0) .29 
 VLOD 28.5 (26.5–40.0) 30.0 (26.3–37.0) .68 
Maternal GBS screening status    
 Missing information, n 14 163 — 
 Not tested, n 30 98 — 
 Tested, n (% of available data) 48 (52.2) 107 (29.1) — 
  Negative results 20 (41.7) 70 (65.4) — 
  Positive results 28 (58.3) 37 (36.6) .003 

IQR, 25th–75th interquartile range; LOD, late-onset disease; VLOD, very late-onset disease; —, not applicable.

Seventy-two infants (78.3%) with LOGBS were fed with breast milk at the time of disease presentation, compared with 274 controls (74.5%; odds ratio 1.2 [95% CI 0.7–2.3]; P = .45; Fig 2).

FIGURE 2

Odds of breastfeeding in patients with LOGBS compared with controls. “From home” refers to infants presenting from the community with their episode of disease. “During birth admission” refers to preterm infants who had not yet been discharged from the hospital but developed disease during their initial birth admission. “Term” refers to infants born at ≥37 weeks’ gestation. “Moderate-late preterm” refers to infants born at <37 weeks’ gestation but ≥32 weeks’ gestation. “Very preterm” refers to infants born at <32 weeks’ gestation but ≥28 weeks’ gestation. “Extreme preterm” refers to infants born at <28 weeks’ gestation. Statistics were calculated by using stratification data and the Mantel-Haenszel test. LOD, late-onset disease; VLOD, very late-onset disease.

FIGURE 2

Odds of breastfeeding in patients with LOGBS compared with controls. “From home” refers to infants presenting from the community with their episode of disease. “During birth admission” refers to preterm infants who had not yet been discharged from the hospital but developed disease during their initial birth admission. “Term” refers to infants born at ≥37 weeks’ gestation. “Moderate-late preterm” refers to infants born at <37 weeks’ gestation but ≥32 weeks’ gestation. “Very preterm” refers to infants born at <32 weeks’ gestation but ≥28 weeks’ gestation. “Extreme preterm” refers to infants born at <28 weeks’ gestation. Statistics were calculated by using stratification data and the Mantel-Haenszel test. LOD, late-onset disease; VLOD, very late-onset disease.

Close modal

There were 9 patients (9.8%) with recurrent disease: 5 presented from home for both episodes, whereas in the remaining 4 patients, both episodes happened during their birth admission. The median gestational age at birth for these infants was 29 weeks (range 24–40 weeks), and the median age at onset of the initial LOGBS episode was 48 days (range 4–81 days), with infants treated for the initial episode with antibiotics for a mean duration of 14 days (range 14–22 days). The median age at onset of recurrent disease was 72 days (range 27–104 days).

Eight of these infants were fed with breast milk at the time of disease onset, compared with 64 patients with nonrecurrent disease (P = .43). There was 1 patient with recurrent disease who had not received breast milk at any stage.

With this case-control study, we are the first to explicitly explore the relationship between breastfeeding and the development of LOGBS. The potential etiological role of infected breast milk for LOGBS25,26,3136 ,55,70  has remained heavily controversial and unproven. The majority of these reports occurred in the setting of clinical mastitis in the mother,14,25,26,35,36,57,7073  although cases of disease thought to be associated with breast milk have also been described in the absence of maternal illness.29,33,34,74  In our study, LOGBS was not associated with increased risk of breast milk exposure, suggesting that breastfeeding is not a risk factor for LOGBS.

The baseline demographics of the patient and control population groups are comparable. No increased risk of being exposed to breast milk was observed among patients with LOGBS compared with matched controls. Because of small numbers, the CIs were wide for extremely preterm infants and infants with recurrent disease; however, we observed no evidence of increased risk in any subpopulation group.

Infants in this study who developed LOGBS disease were significantly more likely to have been born to a mother who was GBS-positive compared with their matched controls (P = .002). Although the risk factors for LOGBS remain poorly understood in contrast to early-onset disease, maternal colonization remains the strongest known risk factor for disease.2 

It is important to place LOGBS within the broader context of neonatal late-onset sepsis resulting from any pathogen. LOGBS makes up a small proportion of the infections observed within the larger context of neonatal late-onset sepsis. LOGBS accounts for only 3.2% of confirmed late-onset sepsis in neonates.75 

Breastfeeding is one of the most effective ways to protect against infection in early life, especially among preterm and very low birth weight (<1500 g) infants.47,51,62,76  In one study of 283 preterm infants, 29.3% of breastfed infants, compared with 47.2% of formula-fed infants, developed infection (P = .01); whereas 19.5%, compared with 32.6% (P = .04), respectively, developed sepsis or meningitis.44  Only one infant in this study developed LOGBS, and this infant was exclusively formula fed. The benefits of breastfeeding extend beyond protection against infection, and breastfeeding is associated with reduced rates of allergic disease and even malignancy in later years as well as improved neurodevelopmental outcomes.42,49,77,78  Formula feeding was associated with a 1.3-fold increased risk of infant mortality and a 1.6- to 2.1-fold increased risk of sudden infant death syndrome when compared with breastfeeding.42 

Prospective studies reviewing the incidence of GBS in breast milk of both term and preterm infants have described a generally low incidence of between 0.4% and 0.8%,6,76  with the highest incidence being 3.5%.79  Numerous studies describe infants fed with GBS-infected milk samples remaining healthy and free of disease.22,56,57,79,80 

Limitations of our study should be noted. First, all information was retrospectively obtained from medical records, and breastfeeding status was reliant on documentation within those records. Second, the sample size precluded any conclusions being drawn regarding specific subpopulations, including preterm infants or those infants with recurrent LOGBS. Third, the ICD codes used to identify controls were all for conditions that are infectious in nature. Given it is known that formula-fed infants are more likely to develop infection over the first year of life, this may have led to overrepresentation of formula feeding among the control group compared to the general population.42  Fourth, because of the small sample size, the results do not allow us to derive clear information for the subpopulation of the very premature infants, who are at higher risk of LOGBS. Further research is still needed in this group. Lastly, although this study was multicentered and spanned an 11-year period, the total study size is still small, <100 patients. It is possible that a larger sample size may have revealed a different result. We agree that the results of this study should be confirmed by further research.

We did not observe an association between LOGBS sepsis and receipt of breast milk feeds. Up to 3.5% of healthy women have GBS detectable in their breast milk, and the vast majority of exposed infants never develops LOGBS. The identification of GBS in breast milk may be associated with a high rate of breastfeeding cessation. The benefits of breastfeeding are broad and clearly described. Recurrence of LOGBS is rare, occurring only 1% of the time. We suggest that breast milk should not be tested after a primary episode of LOGBS and that continued breastfeeding should be supported.

We thank the following pathology services and health information services that assisted in providing the coding and microbiology extraction data: Monash Health, The Royal Children’s Hospital, Barwon Health, Bendigo Health, and Australian Clinical Laboratories. We also thank Jiying Yin, PhD, Senior Research Officer and Data Analyst (Murdoch Children’s Research Institute), for his assistance with the statistical analysis.

Dr Ching conceptualized and designed the study, designed the data collection instruments, collected data, coordinated, and supervised data collection for all sites, conducted initial analyses, drafted the initial manuscript, and reviewed and revised the manuscript; Prof Doherty and Prof Buttery conceptualized and designed the study and critically reviewed the manuscript for important intellectual content; Dr Lai collected data at Monash Children’s Hospital and critically reviewed the manuscript for important intellectual content; Prof Steer coordinated and supervised data collection at The Royal Children’s Hospital and critically reviewed the manuscript for important intellectual content; Dr Standish coordinated and supervised data collection at Barwon Health and critically reviewed the manuscript for important intellectual content; Dr Ziffer coordinated and supervised data collection at Bendigo Health and critically reviewed the manuscript for important intellectual content; Prof Daley collected data at The Royal Children’s Hospital and critically reviewed the manuscript for important intellectual content; and all authors approved the final manuscript as submitted and agree to be accountable for all aspects of the work.

FUNDING: Dr Ching’s position was supported by funding from the Department of Paediatrics, Monash University. No direct funding was secured for this study. The funder/sponsor did not participate in the work.

CI

confidence interval

GBS

group B Streptococcus

ICD

International Classification of Diseases

LOGBS

late-onset group B Streptococcus disease

1
Edmond
KM
,
Kortsalioudaki
C
,
Scott
S
, et al
.
Group B streptococcal disease in infants aged younger than 3 months: systematic review and meta-analysis
.
Lancet
.
2012
;
379
(
9815
):
547
556
2
Edwards
MS
,
Nizet
V
,
Baker
CJ
.
Group B streptococcal infections
. In:
Wilson
CB
,
Nizet
V
,
Maldonado
YA
,
Remington
JS
,
Klein
JO
, eds.
Remington and Klein’s Infectious Diseases of the Fetus and Newborn Infant
. 8th ed.
Philadelphia, PA
:
Elsevier Saunders
;
2016
:
411
456
3
Ekelund
K
,
Konradsen
HB
.
Invasive group B streptococcal disease in infants: a 19-year nationwide study. Serotype distribution, incidence and recurrent infection
.
Epidemiol Infect
.
2004
;
132
(
6
):
1083
1090
4
Ireland
S
,
Larkins
S
,
Kandasamy
Y
.
Group B streptococcal infection in the first 90 days of life in North Queensland
.
Aust N Z J Obstet Gynaecol
.
2014
;
54
(
2
):
146
151
5
Phares
CR
,
Lynfield
R
,
Farley
MM
, et al;
Active Bacterial Core surveillance/Emerging Infections Program Network
.
Epidemiology of invasive group B streptococcal disease in the United States, 1999-2005
.
JAMA
.
2008
;
299
(
17
):
2056
2065
6
Burianová
I
,
Paulová
M
,
Cermák
P
,
Janota
J
.
Group B streptococcus colonization of breast milk of group B streptococcus positive mothers
.
J Hum Lact
.
2013
;
29
(
4
):
586
590
7
Cantey
JB
,
Baldridge
C
,
Jamison
R
,
Shanley
LA
.
Late and very late onset group B Streptococcus sepsis: one and the same?
World J Pediatr
.
2014
;
10
(
1
):
24
28
8
Joubrel
C
,
Tazi
A
,
Six
A
, et al
.
Group B streptococcus neonatal invasive infections, France 2007-2012
.
Clin Microbiol Infect
.
2015
;
21
(
10
):
910
916
9
Hussain
SM
,
Luedtke
GS
,
Baker
CJ
,
Schlievert
PM
,
Leggiadro
RJ
.
Invasive group B streptococcal disease in children beyond early infancy
.
Pediatr Infect Dis J
.
1995
;
14
(
4
):
278
281
10
Fernandez
M
,
Rench
MA
,
Albanyan
EA
,
Edwards
MS
,
Baker
CJ
.
Failure of rifampin to eradicate group B streptococcal colonization in infants
.
Pediatr Infect Dis J
.
2001
;
20
(
4
):
371
376
11
Schrag
SJ
,
Zywicki
S
,
Farley
MM
, et al
.
Group B streptococcal disease in the era of intrapartum antibiotic prophylaxis
.
N Engl J Med
.
2000
;
342
(
1
):
15
20
12
Jordan
HT
,
Farley
MM
,
Craig
A
, et al;
Active Bacterial Core Surveillance (ABCs)/Emerging Infections Program Network, CDC
.
Revisiting the need for vaccine prevention of late-onset neonatal group B streptococcal disease: a multistate, population-based analysis
.
Pediatr Infect Dis J
.
2008
;
27
(
12
):
1057
1064
13
Anthony
BF
,
Okada
DM
,
Hobel
CJ
.
Epidemiology of the group B streptococcus: maternal and nosocomial sources for infant acquisitions
.
J Pediatr
.
1979
;
95
(
3
):
431
436
14
Berardi
A
,
Rossi
C
,
Lugli
L
, et al;
GBS Prevention Working Group, Emilia-Romagna
.
Group B streptococcus late-onset disease: 2003-2010
.
Pediatrics
.
2013
;
131
(
2
).
15
Baker
CJ
.
Group B streptococcal infections: is prevention possible
.
South Med J
.
1976
;
69
(
12
):
1527
1529
16
Baker
CJ
,
Barrett
FF
.
Transmission of group B streptococci among parturient women and their neonates
.
J Pediatr
.
1973
;
83
(
6
):
919
925
17
MacFarquhar
JK
,
Jones
TF
,
Woron
AM
, et al
.
Outbreak of late-onset group B Streptococcus in a neonatal intensive care unit
.
Am J Infect Control
.
2010
;
38
(
4
):
283
288
18
Lin
FYC
,
Weisman
LE
,
Troendle
J
,
Adams
K
.
Prematurity is the major risk factor for late-onset group B streptococcus disease
.
J Infect Dis
.
2003
;
188
(
2
):
267
271
19
Dillon
HC
 Jr
,
Khare
S
,
Gray
BM
.
Group B streptococcal carriage and disease: a 6-year prospective study
.
J Pediatr
.
1987
;
110
(
1
):
31
36
20
Baker
CJ
.
Group B streptococcal infections
.
Adv Intern Med
.
1980
;
25
:
475
501
21
Ancona
RJ
,
Ferrieri
P
,
Williams
PP
.
Maternal factors that enhance the acquisition of group-B streptococci by newborn infants
.
J Med Microbiol
.
1980
;
13
(
2
):
273
280
22
Berardi
A
,
Rossi
C
,
Creti
R
, et al
.
Group B streptococcal colonization in 160 mother-baby pairs: a prospective cohort study
.
J Pediatr
.
2013
;
163
(
4
):
1099
104.e1
23
Regan
JA
,
Klebanoff
MA
,
Nugent
RP
, et al;
VIP Study Group
.
Colonization with group B streptococci in pregnancy and adverse outcome
.
Am J Obstet Gynecol
.
1996
;
174
(
4
):
1354
1360
24
Franciosi
RA
,
Knostman
JD
,
Zimmerman
RA
.
Group B streptococcal neonatal and infant infections
.
J Pediatr
.
1973
;
82
(
4
):
707
718
25
Gagneur
A
,
Héry-Arnaud
G
,
Croly-Labourdette
S
, et al
.
Infected breast milk associated with late-onset and recurrent group B streptococcal infection in neonatal twins: a genetic analysis
.
Eur J Pediatr
.
2009
;
168
(
9
):
1155
1158
26
Davanzo
R
,
De Cunto
A
,
Travan
L
,
Bacolla
G
,
Creti
R
,
Demarini
S
.
To feed or not to feed? Case presentation and best practice guidance for human milk feeding and group B streptococcus in developed countries
.
J Hum Lact
.
2013
;
29
(
4
):
452
457
27
Edwards
MS
,
Jackson
CV
,
Baker
CJ
.
Increased risk of group B streptococcal disease in twins
.
JAMA
.
1981
;
245
(
20
):
2044
2046
28
Millard
DD
,
Bussey
ME
,
Shulman
ST
,
Yogev
R
.
Multiple group B streptococcal infections in a premature infant: eradication of nasal colonization with rifampin
.
Am J Dis Child
.
1985
;
139
(
10
):
964
965
29
Jones
SM
,
Steele
RW
.
Recurrent group B streptococcal bacteremia
.
Clin Pediatr (Phila)
.
2012
;
51
(
9
):
884
887
30
Lombard
F
,
Marchandin
H
,
Jacquot
A
,
Cambonie
G
,
Rodiere
M
,
Filleron
A
.
Streptococcus agalactiae late-onset neonatal infections: should breast milk be more systematically tested for bacterial contamination?
Acta Paediatr
.
2012
;
101
(
12
):
e529
e30
31
Filleron
A
,
Lombard
F
,
Jacquot
A
, et al
.
Group B streptococci in milk and late neonatal infections: an analysis of cases in the literature
.
Arch Dis Child Fetal Neonatal Ed
.
2014
;
99
(
1
):
F41
F47
32
Brandolini
M
,
Corbella
M
,
Cambieri
P
, et al
.
Late-onset neonatal group B streptococcal disease associated with breast milk transmission: molecular typing using RAPD-PCR
.
Early Hum Dev
.
2014
;
90
(
suppl 1
):
S84
S86
33
Dinger
J
,
Müller
D
,
Pargac
N
,
Schwarze
R
.
Breast milk transmission of group B streptococcal infection
.
Pediatr Infect Dis J
.
2002
;
21
(
6
):
567
568
34
Whyte
M
,
Irving
H
,
O’Regan
P
,
Nissen
M
,
Siebert
D
,
Labrom
R
.
Disseminated Scedosporium prolificans infection and survival of a child with acute lymphoblastic leukemia
.
Pediatr Infect Dis J
.
2005
;
24
(
4
):
375
377
35
Kenny
JF
.
Recurrent group B streptococcal disease in an infant associated with the ingestion of infected mother’s milk
.
J Pediatr
.
1977
;
91
(
1
):
158
159
36
Kotiw
M
,
Zhang
GW
,
Daggard
G
,
Reiss-Levy
E
,
Tapsall
JW
,
Numa
A
.
Late-onset and recurrent neonatal group B streptococcal disease associated with breast-milk transmission
.
Pediatr Dev Pathol
.
2003
;
6
(
3
):
251
256
37
Butter
MNW
,
de Moor
CE
.
Streptococcus agalactiae as a cause of meningitis in the newborn, and of bacteraemia in adults
.
Antonie Van Leeuwenhoek
.
1967
;
33
:
439
450
38
Jawa
G
,
Hussain
Z
,
da Silva
O
.
Recurrent late-onset group B Streptococcus sepsis in a preterm infant acquired by expressed breastmilk transmission: a case report
.
Breastfeed Med
.
2013
;
8
(
1
):
134
136
39
Berardi
A
,
Rossi
C
,
Guidotti
I
,
Vagnarelli
F
,
Ferrari
F
.
Group B Streptococcus late-onset disease and milk transmission
.
Acta Paediatr
.
2013
;
102
(
3
):
e95
40
Berardi
A
,
Rossi
C
,
Guidotti
I
,
Zucchini
A
,
De Carlo
L
,
Ferrari
F
;
GBS Prevention Working Group, Emilia-Romagna
.
Group B streptococci in milk and neonatal colonisation
.
Arch Dis Child
.
2014
;
99
(
4
):
395
41
Le Doare
K
,
Kampmann
B
.
Breast milk and group B streptococcal infection: vector of transmission or vehicle for protection?
Vaccine
.
2014
;
32
(
26
):
3128
3132
42
Stuebe
AM
,
Schwarz
EB
.
The risks and benefits of infant feeding practices for women and their children
.
J Perinatol
.
2010
;
30
(
3
):
155
162
43
Hanson
LA
,
Korotkova
M
.
The role of breastfeeding in prevention of neonatal infection
.
Semin Neonatol
.
2002
;
7
(
4
):
275
281
44
Hylander
MA
,
Strobino
DM
,
Dhanireddy
R
.
Human milk feedings and infection among very low birth weight infants
.
Pediatrics
.
1998
;
102
(
3
).
45
Lars
K
.
Breast-feeding and protection against infection
.
Scand J Food Nutr
.
2006
;
50
(
1
):
32
34
46
Hanson
LA
,
Winberg
J
.
Breast milk and defence against infection in the newborn
.
Arch Dis Child
.
1972
;
47
(
256
):
845
848
47
Verhasselt
V
.
Is infant immunization by breastfeeding possible?
Philos Trans R Soc Lond B Biol Sci
.
2015
;
370
(
1671
):
20140139
48
Callen
J
,
Pinelli
J
.
A review of the literature examining the benefits and challenges, incidence and duration, and barriers to breastfeeding in preterm infants
.
Adv Neonatal Care
.
2005
;
5
(
2
):
72
88
;
quiz 89–92
49
Hanson
LA
.
Breastfeeding provides passive and likely long-lasting active immunity
.
Ann Allergy Asthma Immunol
.
1998
;
81
(
6
):
523
533
;
quiz 533–534, 537
50
Hassiotou
F
,
Hepworth
AR
,
Metzger
P
, et al
.
Maternal and infant infections stimulate a rapid leukocyte response in breastmilk
.
Clin Transl Immunology
.
2013
;
2
(
4
):
e3
51
Rogier
EW
,
Frantz
AL
,
Bruno
ME
, et al
.
Secretory antibodies in breast milk promote long-term intestinal homeostasis by regulating the gut microbiota and host gene expression
.
Proc Natl Acad Sci U S A
.
2014
;
111
(
8
):
3074
3079
52
Jackson
KM
,
Nazar
AM
.
Breastfeeding, the immune response, and long-term health
.
J Am Osteopath Assoc
.
2006
;
106
(
4
):
203
207
53
Ueda
NK
,
Nakamura
K
,
Go
H
, et al
.
Neonatal meningitis and recurrent bacteremia with group B Streptococcus transmitted by own mother’s milk: a case report and review of previous cases
.
Int J Infect Dis
.
2018
;
74
:
13
15
54
Zimmermann
P
,
Gwee
A
,
Curtis
N
.
The controversial role of breast milk in GBS late-onset disease
.
J Infect
.
2017
;
74
(
suppl 1
):
S34
S40
55
Elling
R
,
Hufnagel
M
,
de Zoysa
A
, et al
.
Synchronous recurrence of group B streptococcal late-onset sepsis in twins
.
Pediatrics
.
2014
;
133
(
5
).
56
Siewert
RC
,
Holida
D
.
Early- and late-onset group B streptococcal infections: overview and case studies
.
Newborn Infant Nurs Rev
.
2010
;
10
(
4
):
182
186
57
Arias-Camison
JM
.
Late onset group B streptococcal infection from maternal expressed breast milk in a very low birth weight infant
.
J Perinatol
.
2003
;
23
(
8
):
691
692
58
Cossey
V
,
Vanhole
C
,
Eerdekens
A
,
Rayyan
M
,
Fieuws
S
,
Schuermans
A
.
Pasteurization of mother’s own milk for preterm infants does not reduce the incidence of late-onset sepsis
.
Neonatology
.
2013
;
103
(
3
):
170
176
59
Section on Breastfeeding
.
Breastfeeding and the use of human milk
.
Pediatrics
.
2012
;
129
(
3
).
60
Cacho
NT
,
Lawrence
RM
.
Innate immunity and breast milk
.
Front Immunol
.
2017
;
8
:
584
61
Ramani
S
,
Stewart
CJ
,
Laucirica
DR
, et al
.
Human milk oligosaccharides, milk microbiome and infant gut microbiome modulate neonatal rotavirus infection
.
Nat Commun
.
2018
;
9
(
1
):
5010
62
Lawrence
RM
,
Lawrence
RA
.
Breast milk and infection
.
Clin Perinatol
.
2004
;
31
(
3
):
501
528
63
Moylett
EH
,
Fernandez
M
,
Rench
MA
,
Hickman
ME
,
Baker
CJ
.
A 5-year review of recurrent group B streptococcal disease: lessons from twin infants
.
Clin Infect Dis
.
2000
;
30
(
2
):
282
287
64
Stephen
C
.
Capture-recapture methods in epidemiological studies
.
Infect Control Hosp Epidemiol
.
1996
;
17
(
4
):
262
266
65
Brämer
GR
.
International Statistical Classification of Diseases and Related Health Problems. Tenth Revision
.
World Health Stat Q
.
1988
;
41
(
1
):
32
36
66
World Health Organization
.
International Statistical Classification of Diseases and Related Health Problems 10th Revision
.
67
Harris
PA
,
Taylor
R
,
Thielke
R
,
Payne
J
,
Gonzalez
N
,
Conde
JG
.
Research Electronic Data Capture (REDCap)–a metadata-driven methodology and workflow process for providing translational research informatics support
.
J Biomed Inform
.
2009
;
42
(
2
):
377
381
68
Hennessy
S
,
Bilker
WB
,
Berlin
JA
,
Strom
BL
.
Factors influencing the optimal control-to-case ratio in matched case-control studies
.
Am J Epidemiol
.
1999
;
149
(
2
):
195
197
69
Blencowe
H
,
Cousens
S
,
Oestergaard
MZ
, et al
.
National, regional, and worldwide estimates of preterm birth rates in the year 2010 with time trends since 1990 for selected countries: a systematic analysis and implications
.
Lancet
.
2012
;
379
(
9832
):
2162
2172
70
Schreiner
RL
,
Coates
T
,
Shackelford
PG
.
Possible breast milk transmission of group B streptococcal infection
.
J Pediatr
.
1977
;
91
(
1
):
159
71
Nestander
M
,
Spencer
S
,
Joseph
K
, et al
.
Pumping up prevention of late onset GBS sepsis in the NICU [abstract]
.
Pediatrics
.
2019
;
144
(
2
,
MeetingAbstract
):
269
72
Bingen
E
,
Denamur
E
,
Lambert-Zechovsky
N
, et al
.
Analysis of DNA restriction fragment length polymorphism extends the evidence for breast milk transmission in Streptococcus agalactiae late-onset neonatal infection
.
J Infect Dis
.
1992
;
165
(
3
):
569
573
73
Salamat
S
,
Fischer
D
,
van der Linden
M
,
Buxmann
H
,
Schlösser
R
.
Neonatal group B streptococcal septicemia transmitted by contaminated breast milk, proven by pulsed field gel electrophoresis in 2 cases
.
Pediatr Infect Dis J
.
2014
;
33
(
4
):
428
74
Pastore
S
,
Zanchi
C
,
Zanelli
E
,
Demarini
S
,
Busetti
M
,
Barbi
E
.
Recurrent neonatal late-onset group B streptococcal disease: consider mother treatment
.
Pediatr Emerg Care
.
2013
;
29
(
1
):
124
75
Cohen-Wolkowiez
M
,
Moran
C
,
Benjamin
DK
, et al
.
Early and late onset sepsis in late preterm infants
.
Pediatr Infect Dis J
.
2009
;
28
(
12
):
1052
1056
76
Schanler
RJ
,
Fraley
JK
,
Lau
C
,
Hurst
NM
,
Horvath
L
,
Rossmann
SN
.
Breastmilk cultures and infection in extremely premature infants
.
J Perinatol
.
2011
;
31
(
5
):
335
338
77
Pinelli
J
,
Saigal
S
,
Atkinson
SA
.
Effect of breastmilk consumption on neurodevelopmental outcomes at 6 and 12 months of age in VLBW infants
.
Adv Neonatal Care
.
2003
;
3
(
2
):
76
87
78
Palmeira
P
,
Carneiro-Sampaio
M
.
Immunology of breast milk
.
Rev Assoc Med Bras (1992)
.
2016
;
62
(
6
):
584
593
79
Kubín
V
,
Mrastíková
H
,
Paulová
M
,
Motlová
J
,
Franĕk
J
.
Group B streptococci in the milk of lactating mothers
.
Zentralbl Bakteriol Mikrobiol Hyg A
.
1987
;
265
(
1–2
):
210
217
80
Widger
J
,
O’Connell
NH
,
Stack
T
.
Breast milk causing neonatal sepsis and death
.
Clin Microbiol Infect
.
2010
;
16
(
12
):
1796
1798

Competing Interests

POTENTIAL CONFLICT OF INTEREST: The authors have indicated they have no potential conflicts of interest to disclose.

FINANCIAL DISCLOSURE: The authors have indicated they have no financial relationships relevant to this article to disclose.