Journal List > J Korean Med Sci > v.35(8) > 1143025

Lee, Kim, Jung, Shim, Kim, and Shim: Relationship between Breastfeeding, Birth History, and Acute Pyelonephritis in Infants

Abstract

Background

Although the clinical importance of the immunological benefits of breastfeeding has been emphasised for decades, their direct relationship with acute pyelonephritis (APN) is still not clear. Our goal was to determine whether breastfeeding truly provides protection against APNs, while investigating the effects of other factors such as sex, age, mode of delivery, and birth weight on APN.

Methods

A total of 62 infants under 6 months of age who had both microbiologically and radiologically-confirmed APN were enrolled in the case group. Healthy infants (n = 178) who visited the hospital for scheduled vaccinations were enrolled in the control group. The following participant characteristics were compared between the case and control groups: age, sex, birth order among siblings, feeding methods, weight percentile by month, birth weight percentile by gestational age, gestational age at birth, and mode of delivery.

Results

Babies exclusively fed with manufactured infant formulae before 6 months of age had significantly higher risk for APN than breastfed or mixed-fed infants (odds ratio [OR], 3.4; 95% confidence interval [CI], 1.687–7.031; P = 0.001). Firstborn babies had lower risk for APN than 2nd- or 3rd-born babies (OR, 0.43; 95% CI, 0.210–0.919). Other factors that increased the risk for APN were low birth weight percentiles (OR, 8.33; 95% CI, 2.300–30.166) and birth via caesarean section (OR, 2.32; 95% CI, 1.097–4.887). There were more preterm births in the case group (10.9% vs. 1.7%; P = 0.002), but this did not increase the risk for APN (OR, 4.47; P = 0.063).

Conclusion

Feeding exclusively with formula before 6 months of age was related to higher risk for APN, which demonstrates that breastfeeding has a protective effect against APN. The other risk factors for APN were birth order (≥ 2nd-born), low birth weight, and birth via caesarean section.

INTRODUCTION

Breast milk is the ideal nutritional food for babies, and the World Health Organization and the American Academy of Paediatrics both recommend maintaining breastfeeding exclusively for at least 6 months after birth and supplementing breast milk with baby food during late infancy.1 Although the components of manufactured formula milk are quite similar to those of breast milk, immunoglobulins and other trace amounts of beneficial components naturally contained in breast milk have been proven to be protective against infections during infants' immunologically immature period.23 There are also other broad spectrum benefits of breastfeeding, such as the prevention of sudden infant death syndrome, improved intellectual development, and even long-term effects on adulthood.45 Among the various categories of infectious diseases, there have been many studies demonstrating the protective effects of breastfeeding for respiratory and gastrointestinal infections or otitis media,67 but only a few regarding urinary tract infections (UTIs). Only a “probable” level8 of evidence regarding the protective relationship between breastfeeding and UTIs has been identified. Currently known risk factors for UTIs in children include young age, sex, circumcision status if applicable, diaper use, toilet training, and colonization of virulent types of bacteria.9 The aims of the present study were to investigate the relationship between feeding method and risk for acute pyelonephritis (APN) in infants under 6 months of age and to determine whether the benefits of breastfeeding truly provide protection against APNs. Furthermore, the effects of additional factors such as sex, age, mode of delivery, and birth weight on APN were also investigated.

METHODS

This was a case-control study conducted using retrospective chart reviews from a single tertiary medical centre in Korea. Case groups were selected from among 114 infants under 6 months of age who were admitted to the hospital from January 2012 to July 2017 with diagnoses of UTI or APN. Among these patients, we included 67 patients who had: 1) bacterial growth of more than 105 colony-forming units in catheterized urine cultures; 2) abnormal findings on ultrasonography (USG) or Tc-99 m dimercaptosuccinic acid (DMSA) renal scintigraphy suggesting renal involvement; and 3) no previous medical history of APN. Five patients were excluded due to anatomic anomalies of the genitourinary system on image work ups, including USGs, DMSA scans, or voiding cystouretherographies (VCUG), or recurrent UTIs or APNs (≥ 2 times) without positive VCUG results. Ultimately, 62 patients with APN were enrolled in the case group.
The control group was selected from among 573 infants who were born at our hospital from October 2014 to June 2016 with no specific perinatal history. Healthy infants under 6 months of age (n = 180) who visited the hospital for scheduled vaccinations were enrolled in the control group. Two were excluded due to late-appearing APN; therefore, 178 infants were ultimately enrolled in the control group.
The following participant characteristics were investigated: age, sex, birth order among siblings, feeding methods, weight percentile by month, birth weight percentile by gestational age, gestational age at birth, and mode of delivery. Participant age in the case group was based on age at first day of admission for APN treatment. None of the subjects had histories of severe systemic disease, congenital/acquired immune deficiency, or any contraindications for breastfeeding. A physician asked about feeding methods at the time of admission for the case group, or at the time of out-patient clinic visits for the control group. According to the feeding methods, subjects were grouped into either an exclusive breastfeeding, mixed-feeding, or exclusive formula feeding group. The “exclusive breastfeeding/formula feeding” group in this study included babies being fed entirely with full breast milk or formulae milk in recent days, respectively, regardless of the feeding methods in the distant past. Participants were also divided into the following 4 groups based on weight percentile charts according to months of age and gestational age: 1) under 10th percentile, 2) from 10th percentile to 50th percentile, 3) from 50th percentile to 90th percentile, and 4) over 90th percentile (Tables 1 and 2).1011 “Preterm baby” indicates a baby born before 37 weeks of pregnancy.
Table 1

Weight percentiles by month (based on Moon et al.10)

jkms-35-e32-i001
Age, mon Percentiles, kg
10th 50th 90th
Male Female Male Female Male Female
1 4.4 4.2 5.3 5.0 6.0 5.8
2 5.2 4.9 6.1 5.7 7.0 6.6
3 5.7 5.4 6.8 6.4 7.8 7.4
4 6.3 5.9 7.4 7.0 8.4 8.0
5 6.6 6.3 7.8 7.4 8.9 8.4
6 7.1 6.6 8.2 7.8 9.4 8.8
Table 2

Birth weight percentiles by gestational age (based on Lee et al.11)

jkms-35-e32-i002
Gestational age, wk Percentiles, kg
10th 50th 90th
34 1.85 2.31 2.78
35 2.04 2.53 3.03
36 2.24 2.74 3.26
37 2.43 2.93 3.46
38 2.60 3.11 3.63
39 2.75 3.25 3.78
40 2.88 3.37 3.89
41 2.98 3.46 3.99

Statistical analysis

SPSS version 24.0 (IBM Corp., Armonk, NY, USA) was used for statistical analyses. Categorical variables were analysed using the chi-squared test to compare case and control group proportions, and Student's t-test was used for continuous variables. Odds ratios (ORs) and 95% confidence intervals (CIs) were derived from binary logistic regression analyses. Statistical significance was defined as a P value < 0.05.

Ethics statement

Ethical approval for this study was obtained from the Kangbuk Samsung Hospital Institutional Review Board (approval No. 2019-07-046), and the need for informed consent was waived.

RESULTS

The general characteristics of the 240 participants ultimately included in the study are shown in Table 3. Variables including sex, age in months, birth order among siblings, feeding method, weight and birth weight, gestational age, and delivery method were investigated.
Table 3

Characteristics of the study population

jkms-35-e32-i003
Variables Total (n = 240)
Age, mon 3.85 ± 1.668 (median age, 4)
1–2 69 (28.8)
3–4 87 (36.3)
5–6 84 (35.0)
Sex, male 141 (58.8)
Firstborn baby 159 (67.7)
Feeding
Formula 70 (29.2)
Mixed 102 (42.5)
Breast milk 68 (28.3)
Weight, p
< 10 33 (13.8)
10–50 88 (36.7)
50–90 83 (34.6)
> 90 36 (15.0)
Birth weight, p
< 10 15 (6.5)
10–50 101 (43.5)
50–90 97 (41.8)
> 90 19 (8.2)
Preterm birth, < 37 wk 9 (3.9)
Cesarean section 68 (28.3)
Data were shown as mean ± standard deviation or number (%).
In Table 4, each variable was compared between patients with or without APN. The mean age of the two groups was similar, with the same median age (4 months), and there were no statistically significant differences in age distribution. The percentage of males (71%) was higher in the case group than in the control group (54.5%). There were more 2nd- or 3rd-born babies in the case group than in the control group.
Table 4

Comparisons between the case and control groups

jkms-35-e32-i004
Variables Control (n = 178) Case (n = 62) P value
Age, mon 3.86 ± 1.736 3.81 ± 1.496 0.609
1–2 54 (30.3) 15 (24.2)
3–4 62 (34.8) 25 (40.3)
5–6 62 (34.8) 22 (26.2)
Sex, male 97 (54.5) 44 (71.0) 0.023
Firstborn baby 126 (71.2) 33 (56.9) 0.043
Feeding < 0.001
Formula 39 (21.9) 31 (50.0)
Mixed 85 (47.8) 17 (27.4)
Breast milk 54 (30.3) 14 (22.6)
Weight, p 0.182
< 10 21 (11.8) 12 (19.4)
10–50 66 (37.1) 22 (35.5)
50–90 67 (37.6) 16 (25.8)
> 90 24 (13.5) 12 (19.4)
Birth weight, p 0.014
< 10 7 (4.0) 8 (14.5)
10–50 84 (47.5) 17 (30.9)
50–90 73 (41.2) 24 (43.6)
> 90 13 (7.3) 6 (10.9)
Preterm birth, < 37 wk 3 (1.7) 6 (10.9) 0.002
Cesarean section 44 (25.0) 24 (38.7) 0.040
Data were shown as mean ± standard deviation or number (%).
The proportion of participants in the exclusive formula feeding category was significantly higher in the case group than in the control group (50.0% vs. 21.9%, P < 0.001).
The proportion of low birth weights under the 10th percentile by gestational age was higher in the case group than in the control group (14.5% vs. 4.0%, P = 0.014). In contrast, there was no statistically significant difference among the percentiles of current body weight between the case and control groups. Premature infants and births by caesarean section were also greater in the case group. Fisher's exact test revealed that the percentage of caesarean sections according to the number of preterm births was not statistically different (P = 0.126) (data not shown).
Table 5 shows the relationship between breastfeeding and the other variables, to identify whether any of them affect breastfeeding. The case group was divided into a breastfeeding group (both exclusive and mixed) and an exclusive formula feeding group. Among the variables for each group, only the age of the case group was statistically significant, while sex, birth order among siblings, weight percentile, birth weight percentile, prematurity, and mode of delivery were not related to breastfeeding. The same analysis was performed in the control group, but there was no significant relationship at all (data not shown). We investigated whether the presence of a pathogen in the urine cultures of the APN group has any relationship with the feeding methods and mode of delivery, but neither was statistically significant (the latter, P = 0.669, is not shown in the tables).
Table 5

Comparisons between breastfeeding (both exclusive and mixed) and exclusive formula feeding in the case group

jkms-35-e32-i005
Variables Formula (n = 31) Breast milk (n = 31) P value
Age, mon 0.035
1–2 4 (12.9) 11 (35.5)
3–4 17 (54.8) 8 (25.8)
5–6 10 (32.3) 12 (38.7)
Sex, male 22 (71.0) 22 (71.0) 1.000
Firstborn baby 21 (67.7) 12 (44.4) 0.074
Weight, p 0.450
< 10 4 (12.9) 8 (25.8)
10–50 13 (41.9) 9 (29.0)
50–90 7 (22.6) 9 (29.0)
> 90 7 (22.6) 5 (16.1)
Birth weight, p 0.530
< 10 6 (21.4) 2 (7.4)
10–50 8 (28.6) 9 (33.3)
50–90 11 (39.3) 13 (48.1)
> 90 3 (10.7) 3 (11.1)
Preterm birth, < 37 wk 4 (14.3) 2 (7.4) 0.669
Cesarean section 12 (38.7) 12 (38.7) 1.000
Urine culture 0.671
Escherichia coli 29 (93.5) 27 (87.1)
Othersa 2 (6.5) 4 (12.9)
Data were shown as mean ± standard deviation or number (%).
aOther pathogens: Klebsiella pneumonia 3 (2 of them were in the formula-feeding group), Enterobacter cloacae 1, Enterococcus faecalis 1, Serratia fonticola 1.
Fig. 1 shows the percentage of breastfeeding by age with the breastfeeding group including both exclusive and mixed-fed infants. The percentage of breastfeeding in the control group was significantly higher than that of the case group and decreased gradually with increasing age.
Fig. 1

Percentages of infants who received exclusive or mixed breastfeeding. The percentage in the control group decreased with increasing age, and was greater than in the case group.

jkms-35-e32-g001
Table 6 presents the results of the logistic regression analysis of the variables which showed statistical significance in Table 4. OR for males was 2.23 with age not being significant in this analysis. In addition, the risk for APN was low (OR, 0.43; 95% CI, 0.210–0.919) for firstborn babies and 3.44 times higher for the exclusive formula feeding category compared with the exclusively breast-fed or mixed-fed categories (OR, 3.4; 95% CI, 1.687–7.031; P = 0.001). OR for preterm infants was high (4.47), but not statistically significant (P = 0.063). High ORs were also seen in infants with low birth weight and birth by caesarean section (OR, 8.33; 95% CI, 2.300–30.166 and OR, 2.32; 95% CI, 1.097–4.887, respectively).
Table 6

The risk for acute pyelonephritis by logistic regression analysis

jkms-35-e32-i006
Variables OR 95% CI P value
Sex, male 2.229 1.029–4.831 0.042
Age 0.931 0.747–1.161 0.526
Firstborn baby 0.439 0.210–0.919 0.029
Formula feeding only 3.444 1.687–7.031 0.001
Preterm birth 4.470 0.923–21.640 0.063
Low birth weight 8.329 2.300–30.166 0.001
Cesarean section 2.316 1.097–4.887 0.028
OR = odds ratio, CI = confidence interval.

DISCUSSION

This study was conducted to determine whether breastfeeding truly has a protective effect against APN. As a result of the statistical comparisons between participants with and without APN, infants whose feeding methods switched from breast milk to formula milk before 6 months of age had a significantly higher risk for APN than breast-fed or mixed-fed infants. There have been several proposed theories explaining the differences in immunity between breastfed and formula-fed infants.12 First of all, secretory immunoglobulin A (SIgA), which is abundant in human breast milk, prevents mobilization and adherence of pathogens to intestinal and urinary epithelial cells313 with neutralizing toxins.14 The amount of SIgA in human breast milk is approximately 0.5–1.5 g/day, while an average adult produces 2.5 g/day of SIgA.15 SIgA cannot be transferred via the placenta directly and the serum immunoglobulin A (IgA) level of newborns is too low to be effective against infections; therefore, breastfeeding becomes the only pathway of transfer of maternal SIgA to newborns. It was found that IgA level was relatively higher in breastfed neonates' faeces, compared to that of formula-fed babies.16 Secondly, lactoferrin, another milk protein with microbicidal and immune-stimulatory effects, has been proven to prevent Escherichia coli UTI in mice.17 Likewise, “non-E.coli” bacteria were the most commonly found pathogens in the breastfeeding group in our study (Table 5), even though the number was too small to represent any statistical significance. There are also other potentially defensive components such as lysozyme, lactadherin, anti-secretory factor, immune receptors, and oligosaccharides in human breast milk.15 Another study proved that the size of the thymus was even larger in breastfed babies compared to that of non-breastfed babies at age 4 months, and decreased in size after discontinuing breastfeeding.18 This result implies that some of the immune-stimulatory components are present in human breast milk. Thirdly, the most beneficial long-term effect of breastfeeding is the increase in diversity of the intestinal microbiome. Breastfed infants had greater diversity of gut microbiome than non-breastfed infants,19 and immune development and reinforcement by gut microbes in the perinatal period are accelerated by various means, such as regulation of gene expression controlling immune reactions, promotion of maturation of intestinal mucosa and lymphoid tissue, stimulus of the intestinal epithelium to secrete antimicrobial peptides,20212223 and enhancement of colonization by beneficial lactobacilli and other probiotic microbes.242526 The interesting point is that this initial colonization may persist throughout adulthood.27 This “gut microbiota theory” is also linked to the increased APN incidence of infants born by caesarean section.
The relationship between caesarean section and mother's APN diagnosis is well-known; however, the relationship between caesarean section and babies' potential APN diagnosis is not. There have been numerous studies suggesting that birth mode itself is related to babies' health, and even with morbidity in adulthood, such as that caused by allergic and/or autoimmune diseases.2829 Intrauterine immune response during labour directly affects immune activation in the neonate by increasing cytokines and hormones.23 Subsequently, through exposure to the mother’s vaginal and faecal microbes, early acquisition of microbial diversity in the gastrointestinal environment promotes early immune development, as previously mentioned. These processes occur only in spontaneous vaginal delivery, not in elective caesarean section, therefore making a difference in the immune development of babies born by the two different birth modes.
There have been a few studies regarding the relationship between the benefits of breastfeeding and UTIs,3031 but the diagnosis of a UTI is ambiguous, especially in infants, and may not be easily confirmed simply by the presence of fever and positive urine culture. Additionally, since anomalies of the genitourinary system, a very important risk factor, were hardly considered, we added another inclusion criterion (any abnormal nuclear medicine-radiologic finding consistent with APN) to clarify the diagnosis differentiating it from non-invasive infections in the urinary system or non-specific bacteriuria combined with fever. We also excluded any cases with recurrence of APN to minimize any compounding factors. We only evaluated feeding methods present at the time of the visits to minimize memory bias and to conduct a more objective study.
Considering that the average age of participants was 3.8 months, the proportions of each feeding method were consistent with the results of national surveys and other epidemiologic studies which showed that breastfeeding represented 29%–38% of each of the 3 groups at 4 months of age.3233 As seen in Fig. 1, the decrease in percentages of breastfed infants by age showed a similar pattern in the general population, although it was remarkable that the percentage was approximately 10% higher than those in the national surveys. Presumably, parents who visited a tertiary medical centre for a scheduled vaccination with a healthy infant might be very meticulous regarding their babies' health, which indicates the possibility of selection bias in our control group.
Sex was one of the statistically significant variables with an OR of 2.23, and the male to female ratio was 2.4:1. This result was also consistent with previous findings, which adds reliability to our results.934
We analysed the factors thought to affect breastfeeding, such as age, prematurity, mode of delivery, and birth order (Table 5), but most of them did not show a direct relationship with breastfeeding itself. There was also an interesting national survey in the United States which indicated that feeding methods were independent of the number of siblings, which was consistent with our result.35 However, breastfed firstborn babies had lower risk factors (for APNs) than 2nd- or 3rd-born babies in our study, and we speculated as to why. In fact, whether the firstborn babies were only children or not could not be determined from this study. However, we could not find any scientific evidence for this matter and it might be one of the limitations of this study.
Small for gestational age status was another strong risk factor for APN, yet prematurity alone was not a statistically significant risk factor. There were several studies regarding UTI and very low birth weight, which were mostly combined with preterm birth. Our study differed from these studies in that it compared the two groups by weight percentile at the same age or at the same gestational age, and participants were not treated in intensive care units that typically utilize indwelling urine catheters. Even though our control group included babies born at > 35 weeks of pregnancy, there were only two babies who were born at < 34 weeks in the case group; thus, any differences would have been very minimal.
There were several limitations of this study, which were mostly of a retrospective nature. The first one was that while obesity has been occasionally mentioned as a risk factor for UTI,36 we could not evaluate it with weight-height percentile charts or body mass index because there were too few data regarding height values for the control group. Accurately measuring the heights of infants under 6 months of age is difficult in out-patient clinics and should be addressed in future studies. Secondly, “exclusive breastfeeding” was generally defined in many other studies as “a baby having never been fed with formulae milk in his/her entire life”. However, we defined “exclusive breastfeeding” as a baby being fed entirely with breast milk “during recent days or weeks”. The reasons for the different definitions were, first, that we were concerned about recall error and, second, the unique Korean culture called “Sanhujori”. It is “non-professional postpartum care after delivery”37 and usually caregivers working at the Sanhujori centres nurse the babies (with formulae milk, of course) instead of their mothers. More than 50 percent of babies were admitted to a Sanhujori centre.33 Therefore, if we use the term “exclusive breastfeeding” strictly, there would be very few “exclusively breastfed” babies in Korea. Thirdly, VCUG was not performed in every patient with APN, so vesicoureteral reflux and other urinary tract anomalies might not be thoroughly excluded. To compensate for this limitation, we excluded all participants who had recurrent APN even without any positive imaging study showing a genitourinary anomaly. The last limitation is that circumcision is known to have a relationship with the incidence of UTIs, but this retrospective study did not include these data.
As mentioned earlier, although many official committees recommend breastfeeding exclusively until 6 months of age, it can be quite challenging due to a number of social factors, such as the increase in number of women returning to work and the lack of education or facilities that provide comfortable breastfeeding environments.38 However, the benefits of breastfeeding have been proven in numerous studies, and individuals and society in general should promote this activity for the long-term health of all children.
In conclusion, exclusive formula feeding before 6 months of age was related to a higher risk for APN, which demonstrates that breastfeeding has a protective effect against APN. Firstborns also had a lower risk for developing APN. Other risk factors for APN included low birth weight and birth via caesarean section.

ACKNOWLEDGMENTS

The authors thank Mrs. Mi Yeon Lee of Kangbuk Samsung Hospital, for her statistical assistance for this study.

Notes

Disclosure The authors have no potential conflicts of interest to disclose.

Author Contributions

  • Conceptualization: Lee YJ, Kim KM, Shim JW.

  • Data curation: Lee YJ, Shim JW, Shim JY, Jung HL, Kim DS.

  • Formal analysis: Lee YJ.

  • Investigation: Lee YJ, Shim JW, Shim JY, Jung HL, Kim DS.

  • Methodology: Lee YJ, Kim KM, Shim JW.

  • Software: Lee YJ.

  • Validation: Lee YJ, Kim KM.

  • Writing - original draft: Lee YJ, Kim KM.

  • Writing - review & editing: Lee YJ, Shim JW.

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ORCID iDs

Young Ju Lee
https://orcid.org/0000-0003-1943-6616

Kyung Moon Kim
https://orcid.org/0000-0002-4867-1984

Hye Lim Jung
https://orcid.org/0000-0003-0601-510X

Jung Yeon Shim
https://orcid.org/0000-0001-9367-2233

Deok Soo Kim
https://orcid.org/0000-0001-7156-9091

Jae Won Shim
https://orcid.org/0000-0003-0101-3076

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