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Maternal probiotic supplementation for prevention of morbidity and mortality in preterm infants

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Abstract

This is a protocol for a Cochrane Review (Intervention). The objectives are as follows:

To determine whether maternal probiotic administration to pregnant women at risk of preterm birth and/or probiotic administration to mothers after preterm birth compared to administration of placebo, no intervention or postnatal administration to preterm infants reduces the risk of morbidity and mortality in preterm infants.

Comparisons:

(1): Probiotics administered to pregnant women at risk of preterm birth (< 37 weeks' gestation) vs. placebo or no intervention.

(a): In pregnant women at risk for preterm birth (< 37 weeks' gestation), maternal probiotics only prior to birth versus maternal placebo or no intervention prior to birth;

(b): In pregnant women at risk for preterm birth (< 37 weeks' gestation), maternal probiotics both prior to and after birth versus maternal placebo or no intervention prior to and after birth.

(2): Probiotics administered exclusively after birth in mothers of preterm infants < 37 weeks' gestation versus maternal placebo or no intervention.

(3): Probiotics administered exclusively after birth in mothers of preterm infants < 37 weeks' gestation versus neonatal probiotic administration.

Background

Description of the condition

The microbiome is defined as the genomes and gene products of microbes that live within and on humans (Johnson 2012). Under normal conditions the microbiome of an infant is established through exposure with bacteria both prenatally and postnatally. The placenta, amniotic fluid and meconium have their own microbiota that influences the microbiome of the infant. Postnatal influences of the microbiome come from exposures mainly from the maternal microbiome which includes exposure to vaginal, oral, fecal, skin and breast milk bacteria, with a typical predominance of protective Lactobacillus and Bifidobacterium in the neonatal period.

Preterm infants are at risk for alterations in the normal protective microbiome due their increased cesarean delivery rate, exposure to antibiotics, nosocomial exposures to pathogens, lack of typical skin contact with maternal flora, as well as alterations in typical exposure to breast milk (Cilieborg 2012). Cesarean delivery alters colonization of neonates so their stool has lower bifidobacteria and more skin flora such as Staphylococcus, Corynebacterium and Propionibacterium (Faa 2013). Maternal intrapartum antibiotics and antibiotics given to mothers with prolonged rupture of membranes are associated with lower transfer of Lactobacillus to the infant, and even antibiotics given days before birth have been shown to alter the premature infant microbiome with less bacterial diversity of the first stool samples (Faa 2013; Keski‐Nisula 2013). Antibiotics given in the neonatal period have also been associated with decreased stool bifidobacteria (Faa 2013). This may lead to delayed colonization with low diversity of bacteria as well as colonization with pathogens and bacterial overgrowth which put infants at risk for necrotizing enterocolitis (NEC), sepsis and death in the neonatal period (Cilieborg 2012).

The development of NEC is typically associated with a dysregulation of inflammation in the gut that results in gas‐producing bacteria translocating through the bowel mucosa and is not usually caused by one single organism. It is a disorder that affects approximately 7% of infants with a birth weight of less than 1500 grams, with a death rate of approximately 20% to 30% (Neu 2011). Strategies to prevent NEC have been employed including exclusive human milk diet, standardized feeding protocols, human milk fortifiers and postnatal probiotics, but prematurity and alterations of gut flora still put premature infants at risk.

Modifications of the neonatal microbiome may have long‐term effects on health that may last until adulthood. Altered microbiomes have been associated with the development of atopy, inflammatory bowel disease, obesity and impaired glucose regulation. It is unknown to what extent early preterm infant alterations in the microbiome may influence their lifelong risk for these diseases.

Description of the intervention

Probiotics are defined as living microorganisms that confer a health benefit to the host (Othman 2012); they are often given enterally to colonize the gastrointestinal tract. Typical probiotic bacteria administered are bifidobacteria, Lactobacillus or Saccharomyces (Dugoua 2009; Thomas 2010). They have been given directly to preterm infants with intention to decrease the rate of NEC (AlFaleh 2014; Costeloe 2016; Deshpande 2010; Neu 2011), and there is emerging interest in promoting gastrointestinal colonization in preterm infants through administration of probiotics to their mothers instead of directly to infants. Probiotics have already been studied during pregnancy for other indications with the intention to treat genitourinary infections, prevent infant atopy, enhance metabolism and prevent preterm labor (Dugoua 2009; Gomez Arango 2015; Lahtinen 2009; Lindsay 2013; Reid 2003; VandeVusse 2013).

The focus of this investigation is the maternal oral administration of probiotics. Maternal probiotics can be administered to pregnant women at risk for preterm birth or to mothers of preterm infants after birth. Pregnant women administered probiotics in pregnancy will be compared to pregnant women receiving placebo or no intervention. Mothers of preterm infants administered probiotics after birth will be compared to either mothers of preterm infants administered placebo or no intervention, or to preterm neonates administered probiotics directly.

How the intervention might work

The microbiome of the pregnant and postpartum woman is influenced by the established microbiome, diet, probiotic exposures, and pregnancy itself as there are alterations of the microbiome that occur during pregnancy that are likely hormonally mediated. During pregnancy probiotics have been generally regarded as safe (Elias 2011; Gomez Arango 2015; Lindsay 2013), and beneficial for mothers in preventing and treating bacterial vaginitis, and reducing the risk of gestational diabetes, with hypotheses but no definitive evidence of their efficacy in preventing preterm birth (Gomez Arango 2015; Othman 2012). While studies have shown that probiotics taken by adults only change their microbiome while they are being taken, these short‐term alterations in maternal microbiome may have long‐term effects on establishment of the fetal and neonatal microbiome (Matamaros 2013).

Normal microbiome colonization occurs prenatally with bacteria found in the placenta, amniotic fluid and fetal meconium (Matamaros 2013), and postnatal colonization from the mother and environment, including vaginal Lactobacillus obtained at birth, maternal skin flora and bacteria in breast milk (Cilieborg 2012; Faa 2013). Especially predominant and beneficial to the healthy neonatal microbiome are lactobacilli and Bifidobacterium. Lactobacilli are facultative anaerobes that create an anaerobic environment in which bifidobacteria, anaerobic gram positive bacilli, can colonize and predominate in the colon (Bergmann 2014; Dugoua 2009). These bacteria help maintain the mucosa of the intestines, prevent pathogens from colonizing the colon, modulate inflammation along the mucosa and activate the immune system (Hickey 2012), which may help to decrease the risk of NEC and subsequent development of sepsis.

Breast milk consumption greatly contributes to colonization of newborn infants. Studies have shown that there are more than two hundred species of bacteria in human milk with a predominance of Lactobacillus and bifidobacteria in addition to Staphylococcus, Streptococcus and corynebacteria (Bergmann 2014). There is evidence that the neonatal gut microbiome reflects the bacteria found in breast milk and the mother’s stool (Bergmann 2014; Cilieborg 2012; Jost 2014). According to the theory of the enteromammary pathway, bacteria are deposited into the mammary milk ducts from the maternal gastrointestinal tract via active transport through the blood (Bergmann 2014; Jost 2014). Dendritic cells in the maternal gut lumen are thought to trap bacteria, and with the help of mononuclear cells, transport them through the blood to the breast (Bergmann 2014). This is thought to be hormonally mediated, occurring late in the third trimester, with the most bacteria present in the breast in the peripartum period (Bergmann 2014).

Studies have shown that lactobacilli taken orally by the mother are present in breast milk when taken prenatally and postnatally (Bergmann 2014). Supplementation with Lactobacillus reuteri during the third trimester prior to delivery resulted in a statistically significant increase in L reuteri in maternal colostrum (Abrahamsson 2009), and Lactobacillus GG taken by mothers for one month prior to delivery increased the diversity of fecal Bifidobacterium in neonates (Gueimonde 2006).

Why it is important to do this review

Probiotic administration in high risk very low birth weight (VLBW) infants has been shown to reduce the incidence of NEC as well as mortality (AlFaleh 2014; Deshpande 2010). Postnatal probiotic administration decreased the risk of developing stage II‐III NEC by more than half (AlFaleh 2014). In their analysis, Deshpande and coworkers suggest that routine use be implemented without the need for more placebo‐controlled trials (Deshpande 2010).

However, the studies included in these meta‐analyses are quite heterogeneous in regards to the specie(s), dose, timing and duration of administration, and there is concern about safety and quality assurance of probiotics which lie outside the purview of the Food and Drug Administration (FDA) regulation. A recent systematic review cautions universal use of probiotics in VLBW infants citing the lack of evidence of efficacy for specific strains (Mihatsch 2012), while others in the neonatal community cite both methodologic and safety concerns as cautions against universal adoption (Garland 2010; Soll 2010). The American Academy of Pediatrics 2010 Clinical Report written by the Committee on Nutrition states that there is insufficient data to recommend probiotics in infants weighing less than 1000 grams, and that since not all probiotics have been studied, they cannot all be generally recommended (Thomas 2010). The European Society for Paediatric Gastroenterology, Hepatology and Nutrition Committee on Nutrition counsels caution in introducing potentially infectious agents to VLBW infants due to their immunologic immaturity, and states that there are not enough data to conclude that probiotic administration to preterm neonates is safe (Agostoni 2010). While there are many studies that suggest the safety of probiotics (AlFaleh 2014; Costeloe 2016), there have been cases of sepsis with the strains of probiotics given to preterm infants (Bertelli 2015), as well as a death due to gastrointestinal mucormycosis from Rhizopus oryzae‐contaminated probiotic directly administered to a preterm infant (Health Alert Network CDC 2014). With these emerging safety concerns, the FDA has issued a warning against the use of probiotics in immunocompromised patients (FDA 2014). These same safety concerns may not be universal where there are regulatory organizations responsible for overseeing the safety of probiotics, such as the Natural Health Products Directorate in Canada (Janvier 2013).

Currently probiotic use in the VLBW population is not routine in many neonatal intensive care unit (NICUs) in the United States. A recent survey of United States' NICUs that are members of Vermont Oxford Network showed that 14% of these NICUs give VLBW infants probiotics (Viswanathan 2016). Of these 14%, 8.8% of NICUs routinely give all VLBWs probiotics, while another 5.2% of NICUs give probiotics to select VLBW infants (Viswanathan 2016).

With these safety concerns regarding the direct administration of probiotics to preterm infants and evidence showing that probiotics given to preterm infants decreases the rate of NEC and mortality (AlFaleh 2014; Deshpande 2010), there is interest in alternate methods for inducing a normal microbiome in a safe manner. Since maternal flora and breast milk bacteria are known to be transmitted naturally to fetuses and neonates, an alternative method of exposure to probiotics that avoids direct administration to preterm infants, and therefore direct administration of possible contaminants, is maternal probiotic administration to mothers of preterm infants or pregnant women at risk for preterm birth. While not all species of probiotics or timing of administration within pregnancy have been studied thoroughly enough to make definitive statements about safety for all probiotics (Dugoua 2009), probiotics in pregnancy have been generally regarded as safe (Elias 2011; Gomez Arango 2015; Lindsay 2013).

Maternal probiotic administration in pregnancy for prevention of preterm labor and preterm birth has been addressed in one systematic Cochrane review focusing on probiotics specifically as a treatment or prevention of urogenital infections (Othman 2012). Our review will also address probiotic administration to pregnant women at risk of preterm birth, but its focus will be on the preterm infant and it will include pregnant women at risk for preterm birth for any reason. To our knowledge, this will be the first systematic review of maternal probiotic administration with a focus on mothers of preterm infants given probiotics after birth, the first to address the comparison of probiotics administered to mothers of preterm infants versus administration to the preterm infants themselves, and the first to address prenatal and postnatal probiotic administration to mothers at risk for preterm birth.

Objectives

To determine whether maternal probiotic administration to pregnant women at risk of preterm birth and/or probiotic administration to mothers after preterm birth compared to administration of placebo, no intervention or postnatal administration to preterm infants reduces the risk of morbidity and mortality in preterm infants.

Comparisons:

(1): Probiotics administered to pregnant women at risk of preterm birth (< 37 weeks' gestation) vs. placebo or no intervention.

(a): In pregnant women at risk for preterm birth (< 37 weeks' gestation), maternal probiotics only prior to birth versus maternal placebo or no intervention prior to birth;

(b): In pregnant women at risk for preterm birth (< 37 weeks' gestation), maternal probiotics both prior to and after birth versus maternal placebo or no intervention prior to and after birth.

(2): Probiotics administered exclusively after birth in mothers of preterm infants < 37 weeks' gestation versus maternal placebo or no intervention.

(3): Probiotics administered exclusively after birth in mothers of preterm infants < 37 weeks' gestation versus neonatal probiotic administration.

Methods

Criteria for considering studies for this review

Types of studies

We will include randomised controlled trials, quasi‐randomised controlled trials, and cluster trials. Cross‐over trials will not be included.

Types of participants

Comparison 1: probiotics administered to pregnant women at risk of preterm birth (< 37 weeks' gestation) vs. placebo or no intervention

Pregnant women at risk for preterm birth (birth at < 37 weeks).

Comparison 2: probiotics administered exclusively after birth in mothers of preterm infants < 37 weeks' gestation vs. maternal placebo or no intervention

Postpartum mothers who have given birth to a preterm infant born < 37 weeks' gestation.

Comparison 3: probiotics administered exclusively after birth in mothers of preterm infants < 37 weeks' gestation vs. neonatal probiotic administration

  • Postpartum mothers who have given birth to a preterm infant born < 37 weeks' gestation; and

  • Newborn infants born < 37 weeks' gestation.

Types of interventions

Probiotics included will be Lactobacillus species, Bifidobacterium species, or Saccharomyces, and mixed preparations of these probiotics at any dose with the intention to treat for a minimum of seven days.

For antenatal probiotic administration, probiotics must be taken at some point during the trimester in which the mother gives birth, or within one week of birth if born early in the third trimester.

Types of outcome measures

Data on the mothers and the preterm infants of these mothers will be collected.

Primary outcomes

  • Preterm birth (any preterm birth (< 37 weeks) and preterm birth < 34 weeks) (limited to infants in Comparison 1).

  • Severe NEC (Bell stage II or more) (Bell 1978).

  • Death (mortality before discharge).

  • Death or severe NEC.

Secondary outcomes

  • Early onset bacterial sepsis, defined by positive blood culture on 'day of life 3' or earlier (limited to infants in Comparison 1).

  • Culture‐proven sepsis with supplemented probiotic(s) before hospital discharge.

  • Late‐onset sepsis, defined by positive blood culture on 'day of life 3' or later.

For infants born <37 weeks

  • Duration of hospital stay (days).

  • Duration of parenteral nutrition (days).

  • Days to full enteral feeds.

  • Growth (grams/kg/day) during hospitalisation (prior to discharge).

  • Growth Z score at 36 to 40 weeks' postmenstrual age (PMA).

  • Retinopathy of prematurity (ROP) (any stage, severe stage 3 or greater) (ICCROP 2005).

  • Intraventricular hemorrhage (IVH) (any grade and severe (Grade III‐IV)) (Papile 1978).

  • Cystic periventricular leukomalacia (PVL) (diagnosed by cranial imaging).

  • Patent ductus arteriosus (PDA) (treated either medically or surgically).

  • Bronchopulmonary dysplasia (BPD) assessed at 28 days and at 36 weeks PMA.

  • Long‐term major neurodevelopmental disability assessed at 18 to 24 months in survivors (CP, developmental delay (Bayley or Griffith assessment more than two standard deviations (SD) below the mean) or intellectual impairment (intelligence quotient (IQ) more than two SD below mean), blindness (vision < 6/60 in both eyes), sensorineural deafness requiring amplification) (Jacobs 2013).

Maternal Secondary Outcomes:

  • Maternal chorioamnionitis: suspected or confirmed intrauterine inflammation or infection or both ("Triple I") based upon the criteria from the 2016 chorioamnionitis workshop Higgins 2016). Suspected Triple I is defined by a fever without a clear source plus baseline fetal tachycardia, maternal white blood count greater than 15,000/mm³ in the absence of corticosteroids or definite purulent fluid from the cervical os. Confirmed Triple I is defined as meeting criteria for suspected Triple I plus amniocentesis‐proven infection through a positive Gram stain, low glucose or positive amniotic fluid culture or placental pathology revealing diagnostic features of infection. For comparison 1 only.

  • Maternal endometritis: clinical diagnosis by obstetric provider consisting of an oral temperature of ≥ 38.0 °C on any two of the first 10 postpartum days or a temperature of ≥ 38.7 °C during the first 24 hours postpartum based upon the American Committee of Maternal Welfare's standard definition) (Mackeen 2015).

  • Maternal mastitis diagnosed clinically by obstetrics provider at any time during the study.

  • Maternal sepsis as defined by positive maternal blood culture and assessed at any time during the study.

  • Maternal Group B Streptococcus colonization (based upon most recent vaginal/rectal swab results prior to birth).

Search methods for identification of studies

We will use the criteria and standard methods of the Cochrane Neonatal Review Group (see the Cochrane Neonatal Group search strategy for specialized register).

Electronic searches

We will conduct a comprehensive search including: Cochrane Central Register of Controlled Trials (CENTRAL) in the Cochrane Library, current issue; MEDLINE via PubMed (1966 to current); Embase (1980 to current); CINAHL (1982 to current). We will use the following search terms: (probiotic OR lactobacillus OR bifidobacter* OR saccharomyces), plus database‐specific limiters for RCTs and neonates (see Appendix 1 for the full search strategies for each database). We will not apply language restrictions. We will search the reference lists of any articles selected for inclusion in this review.

We will search the Cochrane Pregnancy and Childbirth Group’s Trials Register by contacting the Trials Search Co‐ordinator (see Appendix 2).

Searching other resources

We will search the abstracts of the Society for Pediatric Research (US) (published in Pediatric Research) for the years 1985 to 1999 using the following key words: (probiotic OR lactobacillus OR bifidobacteria OR saccharomyces) AND (neonates OR infants).

We will search clinical trials' registries (clinicaltrials.gov; the World Health Organization's International Trials Registry and Platform (www.whoint/ictrp/search/en/); and the ISRCTN Registry) for ongoing or recently completed trials. We will also search for conference abstracts from Pediatric Academic Societies (PAS) and European Society for Paediatric Research (ESPR). Searches will be carried out in Abstracts to View (2000 to present) (www.abstracts2view.com/pasall/) and Pediatric Research as well as the Cochrane Pregnancy and Childbirth Group's Trials Register.

Data collection and analysis

We will collect information regarding the method of randomisation, blinding, drug intervention, stratification, and whether the trial was single or multicenter for each included study. We will note the information regarding trial participants including gestational age criteria, birth weight criteria, and other inclusion or exclusion criteria. We will analyze the information on clinical outcomes including death, severe NEC (Bell stage II or more), early onset sepsis (if probiotics were administered before delivery), late onset sepsis, prematurity (gestational age) (if probiotics were administered prior to delivery), culture‐proven sepsis with supplemented probiotic(s), duration of hospital stay (days), duration of parenteral nutrition (days), days to full enteral feeds, growth (g/kg/day), ROP (any, severe), IVH (Grade III‐IV), cystic PVL and PDA (treated either medically or surgically), chronic lung disease (CLD), and long‐term major neurodevelopmental disability. Maternal data to be collected includes maternal chorioamnionitis, endometritis, mastitis and sepsis.

Selection of studies

The reviewers will assess the titles and abstracts resulting from the electronic searches. The full copy of all relevant or potentially relevant trials will be obtained and assessed according to the 'Criteria for considering studies for this review'.

We will include all randomised, cluster randomised and quasi‐randomised controlled trials fulfilling the selection criteria described in the previous section and exclude cross‐over studies. Both superiority trials and non‐inferiority trials will be eligible for inclusion. All review authors will review the results of the search and separately select the studies for inclusion. Disagreements about whether a trial should be included will be resolved by discussion and consensus. In cases where additional information is needed before a decision can be made as to whether to include a trial, we will attempt to obtain this information from the study investigator.

Data extraction and management

Two reviewers will extract, assess, and code all data for each study, using a form designed specifically for this review. Any standard error of the mean will be replaced by the corresponding standard deviation. We will resolve any disagreement by discussion. For each study, final data will be entered into Review Manager 5 (RevMan) by one review author (JG) and then checked by the other review author (RS) (RevMan). Authors of trials will be contacted to try to obtain missing data.

Assessment of risk of bias in included studies

Risk of bias will be assessed according to the methods outlined in the Cochrane Handbook for Systematic Reviews of Interventions (Higgins 2011). This assessment will be made by at least two reviewers.

We will use the following components to determine the risk of bias:

Sequence generation (evaluating possible selection bias). For each included study, we will describe the method used to generate the allocation sequence as: adequate (any truly random process e.g. random number table; computer random number generator); inadequate (any nonrandom process e.g. odd or even date of birth; hospital or clinic record number); or unclear;

Allocation concealment (evaluating possible selection bias). For each included study, we will describe the method used to conceal the allocation sequence as: adequate (e.g. telephone or central randomisation; consecutively numbered sealed opaque envelopes); inadequate (open random allocation; unsealed or non‐opaque envelopes, alternation; date of birth); or unclear;

Blinding of participants and personnel (evaluating possible performance bias). For each included study, we will describe the methods used to blind study participants and personnel from knowledge of which intervention a participant received. Blinding will be assessed separately for different outcomes or classes of outcomes. We will assess the methods as: adequate, inadequate, or unclear for participants; adequate, inadequate, or unclear for study personnel; and adequate, inadequate, or unclear for outcome assessors;

Blinding of outcome assessment (evaluating possible detection bias). For each included study, we will describe who is assessing the outcome and the methods used to blind the assessor. In addition, we will describe the risk of bias in the outcomes assessment (how subjective or objective the outcome is).

Incomplete outcome data (evaluating possible attrition bias through withdrawals, drop‐outs, protocol deviations). For each included study and for each outcome, we will describe the completeness of data including attrition and exclusions from the analysis. We will state whether attrition and exclusions were reported, the numbers included in the analysis at each stage (compared with the total randomised participants), reasons for attrition or exclusion where reported, and whether missing data were balanced across groups or were related to outcomes. We will assess methods as: adequate (< 20% missing data); inadequate (> 20% missing data), or unclear;

Selective reporting bias. For each included study where the protocol is available (through trials' registers) we will describe how we investigated the possibility of selective outcome reporting bias and what we found. We will assess the methods as: adequate (where it was clear that all of the study's prespecified outcomes and all expected outcomes of interest to the review had been reported); inadequate (where not all the study's prespecified outcomes had been reported; one or more reported primary outcomes were not prespecified; outcomes of interest were reported incompletely and so could not be used; study failed to include results of a key outcome that would have been expected to have been reported); or unclear;

Other sources of bias. We will note other possible sources of bias (for example, whether there was a potential source of bias related to the specific study design or whether the trial was stopped early owing to some data‐dependent process). We will assess whether each study was free of other problems that could put it at risk of bias as: yes; no; or unclear.

The independent appraisals will be compared for differences and any discrepancies will be resolved by discussion. The consensus agreement will be recorded using a separate printed form. Reliability will be examined throughout the data collection process to avoid 'coder drift'.

Measures of treatment effect

We will perform the statistical analyses using Review Manager 5 software (RevMan). We will analyze categorical data using risk ratio (RR), and risk difference (RD). For statistically significant outcomes we will calculate the number needed to treat for an additional participant with a beneficial outcome (NNTB) or number needed to treat for an additional participant with a harmful outcome (NNTH). We will analyze continuous data using mean difference (MD) and the standardized mean difference (SMD). We will report the 95% confidence interval (CI) on all estimates.

Unit of analysis issues

For the cluster randomised trials that are included, we will use the intracluster correlation coefficient (ICC) to calculate effective sample sizes in an approximate analysis (Cochrane Handbook for Systematic Reviews of Interventions, 15.3.4). Once trials have been changed to their effective sample size, the data will be entered into RevMan just like randomised control trial data is entered.

Dealing with missing data

The review will be analyzed using an intention‐to‐treat paradigm. For studies with missing data, we will attempt to contact the authors to obtain this data.

Assessment of heterogeneity

We will estimate the treatment effects of individual trials and examine heterogeneity among trials by inspecting the forest plots and quantifying the impact of heterogeneity using the I² statistic. We will grade the degree of heterogeneity as: less than 25% — no heterogeneity; 25% to 49% — low heterogeneity; 50% to 75% — moderate heterogeneity; more than 75% — substantial heterogeneity. If statistical heterogeneity (I² > 50%) is noted, the possible causes will be explored (for example, differences in study quality, participants, intervention regimens, or outcome assessments).

Assessment of reporting biases

We plan to create a funnel plot if there are at least 10 studies meeting our inclusion criteria.

Data synthesis

If multiple studies are identified and they are thought to be sufficiently similar in participant population, intervention and outcomes, meta‐analysis will be done using RevMan, supplied by Cochrane. For categorical outcomes the typical estimates of RR and RD, each with its 95% CI, will be calculated; and for continuous outcomes the mean difference (MD) or a summary estimate for the MD, each with its 95% CI, will be calculated. We will use a fixed‐effect model for meta‐analysis. If meta‐analysis is judged to be inappropriate, individual trials will be analyzed and interpreted separately.

Quality of evidence

We will use the GRADE approach, as outlined in the GRADE Handbook (Schünemann 2013), to assess the quality of evidence for the following (clinically relevant) outcomes: death, severe NEC (Bell stage II or more), early onset sepsis if probiotics were administered before delivery, late onset sepsis, prematurity (gestational age) if probiotics were administered prior to delivery, culture‐proven sepsis with supplemented probiotic(s), duration of hospital stay (days), duration of parenteral nutrition (days), days to full enteral feeds, growth (g/kg/day), ROP (any, severe), IVH (Grade III‐IV), and PDA (treated either medically or surgically).

Two authors will independently assess the quality of the evidence for each of the outcomes above. We will consider evidence from randomized controlled trials as high quality but downgrade the evidence one level for serious (or two levels for very serious) limitations based upon the following: design (risk of bias), consistency across studies, directness of the evidence, precision of estimates and presence of publication bias. We will use the GRADEpro Guideline Development Tool to create a ‘Summary of findings’ table to report the quality of the evidence.

The GRADE approach results in an assessment of the quality of a body of evidence in one of four grades:

  1. High: We are very confident that the true effect lies close to that of the estimate of the effect.

  2. Moderate: We are moderately confident in the effect estimate: the true effect is likely to be close to the estimate of the effect, but there is a possibility that it is substantially different.

  3. Low: Our confidence in the effect estimate is limited: the true effect may be substantially different from the estimate of the effect.

  4. Very low: We have very little confidence in the effect estimate: the true effect is likely to be substantially different from the estimate of effect.

Subgroup analysis and investigation of heterogeneity

The effect of differences in the definitions and measurement of outcomes, such as diagnosis of NEC and infections and differences in length of follow‐up, will be examined using methods for addressing clinical heterogeneity: sub‐group analysis and meta‐regression. If any other significant heterogeneity is detected between studies, sub‐group analysis will be carried out and pooling of results will be avoided.

Subgroups for analysis

  • Mothers who provide breast milk to their preterm infants (for Comparisons 2 and 3 only)

    • Probiotic type: Lactobacillus sp., Bifidobacterium sp., Saccharomyces, or mixed preparations of these probiotics

  • Birth weight:

    • VLBW infants (Birth weight < 1500 grams)

    • ELBW infants (Birth weight < 1000 grams)

  • Birth gestational age:

    • Infants born < 37 weeks' gestation

    • Infants born < 34 weeks' gestation

    • Infants born < 28 weeks' gestation

  • Maternal risk for preterm birth:

    • Preterm Premature Rupture of Membranes (PPROM)

    • Preterm labor

    • Genital infection

    • History of preterm birth

    • Economic country setting (low‐income, lower‐middle income, upper‐middle income and high‐income economies as defined by the World Bank (The World Bank 2016)

If we are able, we will subgroup based upon race, ethnicity and sex

Sensitivity analysis

(1) Excluding studies of lower methodological quality using the GRADE approach by assessing only studies with a high GRADE classification.

(2) Excluding unpublished studies.