SYSTEMATIC REVIEW article

Front. Pediatr., 06 January 2023

Sec. Neonatology

Volume 10 - 2022 | https://doi.org/10.3389/fped.2022.1079894

Risk factors for necrotizing enterocolitis in neonates: A meta-analysis

  • Department of Pediatrics, The First Hospital of Hebei Medical University, Shijiazhuang, China

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Abstract

Objective:

The objective is to identify the risk factors for necrotizing enterocolitis (NEC) in neonates by a meta-analysis, and to provide a reference for the prevention of NEC.

Methods:

The databases, including Chinese Biomedical Literature Datebase, China National Knowledge Infrastructure, Wanfang database, and Weipu Periodical database, PubMed, Web of Science, Embase, Cochrane Library, were searched for studies on the risk factors for NEC in neonates. The meta-analysis was carried out with the aid of Stata software.

Results:

A total of 52 studies were included, with 48 case-control studies and 4 cohort studies. There were 166,580 neonates in total, with 33,522 neonates in the case group and 133,058 neonates in the control group. The meta-analysis showed that gestational diabetes (OR = 3.62, 95% CI:1.77–7.41), premature rupture of membranes (OR = 3.81, 95% CI:1.16–12.52), low birth weight (OR = 3.00, 95% CI:2.26–3.97), small for gestational age (OR = 1.85, 95% CI:1.15–2.97), septicemia (OR = 4.34, 95% CI:3.06–6.15), blood transfusion (OR = 3.08, 95% CI:2.16–4.38), congenital heart disease (OR = 2.73, 95% CI:1.10–6.78), respiratory distress syndrome (OR = 2.12, 95% CI:1.24–3.63), premature birth (OR = 5.63, 95% CI:2.91–10.92), pneumonia (OR = 4.07, 95% CI:2.84–5.82) were risk factors for NEC in neonates. Breastfeeding (OR = 0.37, 95% CI:0.23–0.59), take probiotics (OR = 0.30, 95% CI:0.22–0.40), prenatal use of glucocorticoids (OR = 0.39, 95% CI:0.30–0.50), Hyperbilirubinemia (OR = 0.28, 95% CI:0.09–0.86) were protective factors for NEC in neonates.

Conclusions:

Gestational diabetes, premature rupture of membranes, low birth weight, small for gestational age, septicemia, blood transfusion, congenital heart disease, respiratory distress syndrome, premature birth, and pneumonia may increase the risk of NEC in neonates. Breastfeeding, taking probiotics, prenatal use of glucocorticoids, and Hyperbilirubinemia may reduce the risk of NEC in neonates.

Introduction

Necrotizing enterocolitis (NEC) in neonates is a severe muti-factorial disease characterized by intestinal necrosis in the ileum, jejunum, and colon. It is one of the leading causes of morbidity and mortality in preterm infants (1), with which clinical manifestations involve abdominal distension, vomiting, bloody stool, septic shock, and DIC in severe cases. Therefore, early diagnosis and treatment to avoid its devastating consequences are essential. However, due to the poor insight into its pathogensis, reliable tools and effective strategies are short to prevent and treat NEC in neonates (2). Indeed, there are many pathogenic factors of NEC in neonates, some of which still need to be clearly defined. Since the identification and intervention of neonates at risk for NEC can reduce the incidence and improve the prognosis (3), this study comprehensively searched domestic and foreign literature on risk factors for NEC in neonates by a meta-analysis, which aims to provide a reference for the prevention of NEC in neonates.

Materials and methods

Document retrieval

China National Knowledge Infrastructure (CNKI), Wanfang Database, VIP Chinese Journal Database, Chinese Biomedical Literature Database, PubMed, Web of Science, Embase and Cochrane Library were searched to systematically collect published studies on risk factors of NEC in neonates. The search strategy of combining keywords and subject terms was adopted. The Chinese search terms were “newborn”, “necrotizing enterocolitis”, “risk factors”, “case-control study”, “cohort study”, etc. English search words “Enterocolitis, Necrotizing”, “Infant, Newborn”, “relative risk”, “cohort”, etc., supplemented by manual search and literature tracing.

Inclusion and exclusion criteria

Inclusion criteria: 1. The diagnosis of NEC is clear; 2. The study type was a case-control study or cohort study; 3. The subjects were neonates (<28 days); 4. The original data is available. The OR (odds ratio) value and 95% confidence interval (CI) are provided, or the OR value and 95% CI can be calculated from the data.

Exclusion criteria: 1. Conference summary, comments and review articles; 2. Unable to extract effective outcome indicators from the literature; 3. The experimental design is not rigorous (non case-control or cohort studies, as well as grouping non case-control/exposure group and control group/unexposed group); 4. Unable to get a full text; 5. The sample size is too small.

Data extraction and quality assessment

Two researchers strictly followed the inclusion and exclusion criteria to independently conduct literature screening, quality evaluation, data extraction, and discuss possible differences to reach an agreement. The final results were confirmed by more senior researchers. The Newcastle-Ottawa Scale (NOS) (4) was used for the quantitative assessment of case-control studies and cohort studies, including research object evaluation (4 points), inter group comparability evaluation (2 points), and result evaluation (3 points). The NOS score ≥ 6 is a high-quality study.

Method of statistics

The Q test and I2 statistic were used to evaluate the heterogeneity, and the test level was set as 0.1. If the heterogeneity test results were P > 0.1 and I2 < 50%, the pooled effect size OR and 95% CI were calculated using the fixed effects model. Otherwise, the random effect model is used to calculate; Sensitivity analysis uses different models to analyze the same data. Egger's or Begg's test was used to evaluate publication bias, and Stata12.0 was used for statistical analysis.

Result

Literature screening results

A total of 5,728 relevant articles were obtained through preliminary screening, and 3,931 articles remained after being re-selected by Endnote software. Ulteriorly, 3,475 articles were excluded after reading the title and abstract, and 117 articles remained for further evaluation. Finally, after reading the full text, 52 articles were included according to the inclusion and exclusion criteria, as shown in Figure 1. There were 166,580 subjects, including 33,522 cases in the case group and 133,058 cases in the control group. 48 case-control studies and 4 cohort studies are shown in Table 1. The NOS score of 52 included studies was no less than 6 points.

Figure 1

Table 1

LiteratureResearch typeCase group (exposure group)Control group (non exposed group)NOS score
Ahle M, et al. 2018 (5)Case control72036566
Cetinkaya M, et al. 2017 (6)Case control261196
Chen S, et al. 2020 (7)Cohort study301508
Son M 2016 (8)Cohort study73112818
Tan X, et al. 2022 (9)Case control681248
Teišerskas J 2019 (10)Case control54547
Valentine GC, et al. 2019 (11)Cohort study3382388
Yang CC, et al. 2018 (12)Cohort study29,013116,0529
Zhang LP, et al. 2019 (13)Case control33338
Zeng DF 2017 (14)Case control59806
Ceng SY 2021 (15)Case control304677
Chen W 2021 (16)Case control25256
Cheng SP 2016 (17)Case control661327
Cui GH 2019 (18)Case control701406
Fan WT 2019 (19)Case control691006
Fan YZ 2015 (20)Case control63707
Hou AN 2017 (21)Case control76806
Huang YQ 2017 (22)Case control265346
Jiang CC 2020 (23)Case control70846
Ke H 2017 (24)Case control32966
Li HY 2014 (25)Case control98806
Li LQ 2006 (26)Case control20807
Li MQ 2019 (27)Case control28286
Li XH 2019 (28)Case control251757
Liu YX 2021 (29)Case control4611276
Liu YC 2019 (30)Case control9521967
Lu XY 2013 (31)Case control54577
Lu Y 2022 (32)Case control52527
Lu M 2015 (33)Case control59957
Ma J 2019 (34)Case control413836
Ma XJ 2021 (35)Case control541066
Ma ZX 2017 (36)Case control361826
Shang Y 2014 (37)Case control37627
Shi Y 2019 (38)Case control321507
Sun HX 2017 (39)Case control37607
Tao Y 2012 (40)Case control631266
Wang B 2019 (41)Case control50726
Wang J 2021 (42)Case control95956
Wang PP 2020 (43)Case control30347
Wang WH 2013 (44)Case control511207
Wang XQ 2017 (45)Case control58366
Wang Y 2017 (46)Case control8526786
Wang ZQ 2020 (47)Case control42387
Xi E 2017 (48)Case control60606
Xu LY 2018 (49)Case control2471917
Yu M 2018 (50)Case control1461467
Zhang L 2017 (51)Case control613766
Zhao XH 2017 (52)Case control46786
Zhou XM 2017 (53)Case control67737
Zhu JL 2020 (54)Case control384626
Zhuang XY 2007 (55)Case control20806
Zou YM 2021(56)Case control50456

Characteristics of included studies.

Results of meta-analysis

According to the risk factors involved in the included literature, gestational diabetes, premature rupture of membranes, cesarean section, low birth weight, small for gestational age, sepsis, blood transfusion, congenital heart disease, respiratory distress syndrome, mechanical ventilation, breast feeding, probiotics, preterm delivery, pneumonia, prenatal use of glucocorticoids, hyperbilirubinemia, ect., were selected for analysis. Heterogeneity test results showed that there was heterogeneity among the studies of diabetes in pregnancy, premature rupture of membranes, cesarean section, small for gestational age, sepsis, blood transfusion, congenital heart disease, respiratory distress syndrome, mechanical ventilation, breast-feeding, probiotics, preterm delivery, pneumonia and hyperbilirubinemia, and the random effect model was used to combine the effect amount. In contrast, there is no heterogeneity in other related factors, and the fixed effect model is used to combine the effects. The meta-analysis results demonstrates that: Cesarean section and mechanical ventilation were not statistically significant with NEC in neonates. Gestational diabetes mellitus, premature rupture of membranes, low birth weight, small for gestational age, sepsis, blood transfusion, congenital heart disease, respiratory distress syndrome, premature birth and pneumonia were risk factors for NEC in neonates. Breastfeeding, probiotics, prenatal glucocorticoid use, and hyperbilirubinemia were protective factors for NEC in neonates, as shown in Table 2.

Table 2

FactorNumber of studiesHeterogeneity testEffect modelPooled OR and 95% CIPooled p value
p valueI²
Gestational diabetes6p < 0.0580.6%Random effect3.62 (1.77–7.41)p < 0.05
Premature rupture of membranes5p < 0.0593.1%Random effect3.81 (1.16–12.52)p < 0.05
Cesarean section4p < 0.0580.7&Random effect1.31 (0.86–2.00)0.207
Low birth weight80.23823.1%Fixed effect3.00 (2.26–3.97)p < 0.05
Small for gestational age5p < 0.0566.4%Random effect1.85 (1.15–2.97)p < 0.05
Septicemia32p < 0.0588.9%Random effect4.34 (3.06–6.15)p < 0.05
Blood transfusion10p < 0.0554.0%Random effect3.08 (2.16–4.38)p < 0.05
Congenital heart disease4p < 0.0592.8%Random effect2.73 (1.10–6.78)p < 0.05
Respiratory distress syndrome5p < 0.0579.8%Random effect2.12 (1.24–3.63)p < 0.05
Mechanical ventilation4p < 0.0584.4%Random effect2.55 (0.98–6.61)0.054
Breastfeeding21p < 0.0594.2%Random effect0.37 (0.23–0.59)p < 0.05
Take probiotics28p < 0.0584.7%Random effect0.30 (0.22–0.40)p < 0.05
Premature birth7p < 0.0591.4%Random effect5.63 (2.91–10.92)p < 0.05
Pneumonia14p < 0.0554.7%Random effect4.07 (2.84–5.82)p < 0.05
Prenatal use of glucocorticoids70.34511.1%Fixed effect0.39 (0.30–0.50)p < 0.05
Hyperbilirubinemia6p < 0.0592.3%Random effect0.28 (0.09–0.86)p < 0.05

Heterogeneity test and meta-analysis results of risk factors.

Sensitivity analysis and bias test

For the screened risk factors, the fixed effect and random effect models were used to recalculate the combined effect size. The calculation results of these two models were basically consistent, indicating that the results of this study were basically reliable. However, the results of premature rupture of membranes are not robust enough and should be treated with caution. The results of Egger's or Begg's test suggest that the results of sepsis, probiotics, and pneumonia are biased (P < 0.05), as shown in Table 3. The pruning method evaluated the publication bias of the results of sepsis, probiotics and pneumonia. It was found that the results of sepsis [OR and 95% CI: 2.13 (1.47–3.10)], probiotics [OR and 95% CI: 0.30 (0.22–0.41)], and pneumonia [OR and 95% CI: 2.67 (1.82–3.92)] were basically consistent before and after pruning, suggesting that the meta-analysis conclusion of risk factors was stable and reliable.

Table 3

FactorSensitivity analysisEgger's Test/Begg's Test
Fixed effect model (pooled OR and 95% CI)Random effect model (pooled OR and 95% CI)p value
Gestational diabetes4.62 (3.46–6.16)3.62 (1.77–7.41)0.254
Premature rupture of membranes0.99 (0.80–1.22)3.81 (1.16–12.52)0.806
Low birth weight3.00 (2.26–3.97)3.02 (2.18–4.19)0.076
Small for gestational age1.34 (1.08–1.67)1.85 (1.15–2.97)0.260
Septicemiaa3.03 (2.73–3.36)4.34 (3.06–6.15)0.028
Blood transfusion2.55 (2.06–3.16)3.08 (2.16–4.38)0.210
Congenital heart disease1.09 (1.03–1.15)2.73 (1.10–6.78)0.089
Respiratory distress syndrome1.38 (1.15–1.66)2.12 (1.24–3.63)0.221
Breastfeeding0.52 (0.48–0.57)0.37 (0.23–0.59)0.393
Take probioticsb0.65 (0.60–0.71)0.30 (0.22–0.40)0.017
Premature birth6.13 (5.19–7.22)5.63 (2.91–10.92)0.697
Pneumoniac3.37 (2.68–4.24)4.07 (2.84–5.82)0.004
Prenatal use of glucocorticoids0.39 (0.30–0.50)0.38 (0.28∼0.51)0.072
Hyperbilirubinemia0.70 (0.54–0.92)0.28 (0.09–0.86)0.181

Sensitivity analysis and bias test.

a

indicates that the OR and 95% CI after correction are 2.13 (1.47–3.10).

b

indicates that the OR and 95% CI after correction are 0.30 (0.22–0.41).

c

shows that the corrected OR and 95% CI are 2.67 (1.82–3.92).

Discussion

This study conducted a meta-analysis of the domestic and foreign studies on the risk factors of NEC in neonates, and conducted a quantitative combined analysis and comprehensive evaluation of the results of multiple studies with the same research factors, to make the research conclusions more comprehensive and reliable.

This meta-analysis shows that gestational diabetes is a risk factor for NEC in neonates. As the nutrition needed for the development of the fetus in the abdomen comes from the mother, the blood sugar of the mother after diabetes during pregnancy is higher than the normal level, and high blood sugar will inhibit the blood circulation of the fetus' intestinal tract, causing ischemic necrosis of the intestinal mucosa. After birth, pathogenic microorganisms easily invade the gastrointestinal tract and colonize the damaged intestinal mucosa, causing inflammation and morbidity (57).

This meta-analysis shows that premature rupture of membranes may increase the risk of NEC. Research shows that PROM, as one of the main causes of premature delivery, can increase the incidence of NEC, ROP, BPD and other complications. Timely treatment of PROM can reduce the occurrence of NEC in neonates (58).

This meta-analysis showed that low birth weight was a risk factor for NEC. The reasons may be as follows: (1) Due to the immature intestinal function and slow intestinal peristalsis of low birth weight infants, food residues are easy to be detained and fermented, providing a good environment for bacterial growth, leading to a large number of bacterial proliferation; (2) The intestinal microbiota of low birth weight infants is very immature, and direct contact with pathogenic microorganisms will cause inflammation related to mucosal damage, leading to NEC (59).

This meta-analysis showed that small for gestational age (SGA) was a risk factor for NEC. SGA infants have a high probability of NEC, neonatal asphyxia, brain injury and respiratory distress syndrome (60). One study found that the risk of NEC in SGA infants was twice that of appropriate for gestational age infants (61).

This meta-analysis showed that septicemia, congenital heart disease, respiratory distress syndrome, and pneumonia were risk factors for NEC. In severe infection, the body is in a state of inflammation activation, producing a variety of inflammatory transmitters. These substances directly or indirectly cause damage to the intestinal mucosa, and then participate in the occurrence and development of NEC (62, 63). Meanwhile, the combined effects of pathogenic bacteria, intestinal flora imbalance, intestinal wall barrier dysfunction, toxic intestinal paralysis, etc., during sepsis can also lead to NEC (64). In addition, in the case of sepsis and other severe infections, in addition to the direct destruction of intestinal epithelial cells by bacteria, endotoxin and other products produced by bacteria can also cause intestinal necrosis (62). In the previous report, the proportion of NEC in children with CHD was 6.8%∼13% (65), significantly higher than that in normal premature infants and neonates. Baxi et al. (66) found that children with CHD were prone to abnormal blood distribution, decreased mesenteric blood supply, and a large number of free radicals, which mediated reperfusion injury. It has been previously reported that asphyxia at birth is closely related to the occurrence of necrotizing enterocolitis. The severity of necrotizing enterocolitis increases with that of respiratory distress (67). When respiratory distress occurs or pneumonia occurs, the body is in an anoxic state. At this time, in order to ensure the oxygen supply of the vital organs of the child, the whole body's blood flow is redistributed, mainly because the intestinal vessels contract and the blood flow is reduced, leading to intestinal hypoperfusion, resulting in intestinal mucosa hypoxia and damage, leading to necrotizing enterocolitis (68, 69).

This meta-analysis showed that blood transfusion was a risk factor for NEC. The possible pathogenesis of NEC is as follows: the inflammatory mediators such as TNF-α, IL-6, and PAF produced during the processing of whole blood and the storage of red blood cells, and the residual white blood cells, free hemoglobin, red cell membrane fragments, etc. promote the occurrence of NEC. The pathological changes of red blood cells occurred during storage, including decreased erythrocyte deformability, increased oxygen affinity ability and decreased nitric oxide resulting in the loss of vasodilator activity, etc., resulting in the failure to improve intestinal microcirculation perfusion flow after blood transfusion; NEC may be caused by anemia (70).

This meta-analysis showed that preterm birth was a risk factor for NEC. Due to the unsound development of the enteric nervous system and poor regularity of small intestinal peristalsis, premature infants are prone to excessive bacterial growth and gas after food fermentation, and are prone to NEC (71).

This meta-analysis showed that breastfeeding, probiotics, prenatal glucocorticoid use, and hyperbilirubinemia were protective factors for NEC. Breast milk is known as the most natural and safe natural food for infants and young children, containing nutrients and antibodies necessary for the development of organized organs, especially beneficial antibodies, which can help maintain the immune function of newborns, inhibit the inflammatory reaction, and speed up the repair of the damaged intestinal mucosa (72). Compared with formula, breast milk has a lower osmotic pressure, which can minimize the osmotic load of food and reduce the impact on intestinal function, thereby reducing the incidence of NEC (73). The supplementation of probiotics may improve gastrointestinal tolerance (74). The raw materials of probiotics come from microorganisms that are beneficial to the body. In the intestinal tract of newborns, probiotics can play a role in improving the microecological balance and promoting intestinal peristalsis, which is of great significance in preventing the occurrence and development of neonatal necrotizing enterocolitis (75). Prenatal hormones can promote the generation of alveolar surfactants, contribute to the development of alveoli, and reduce the incidence of neonatal respiratory distress syndrome and mortality of preterm infants (76). Bilirubin is considered to have antioxidant activity, can scavenge free radicals in the body, and is one of the plasma free radical scavenger to defend against the damage of various oxides (77, 78).

Limitations

This study has some limitations: First, sensitivity analysis found that the results of premature rupture of membranes were not robust enough. Therefore, the relationship between premature rupture of membranes and NEC in neonates needs further study. Secondly, there exist differences in sample size, case selection, and definition of exposure factors among the studies, which may lead to heterogeneity among the studies and have a certain impact on the results. Finally, only Chinese and English literature ware included in the included study, and literature published in other languages could not be analyzed, which may result in language bias.

Conclusion

We conducted a meta-analysis to evaluate the risk factors of NEC. This meta-analysis showed that gestational diabetes mellitus, premature rupture of membranes, low birth weight, small for gestational age, sepsis, blood transfusion, congenital heart disease, respiratory distress syndrome, premature birth, and pneumonia maght increase the risk of NEC in neonates. Therefore, perinatal health care should be strengthened to reduce the incidence of neonatal complications, so as to prevent the occurrence of NEC in neonates.

Statements

Data availability statement

The original contributions presented in the study are included in the article/Supplementary material, further inquiries can be directed to the corresponding author/s.

Author contributions

YS, R-HX, L-YH and C-JR contributed to conception and design of the study. L-YG organized the database. XC performed the statistical analysis. W-XH wrote the first draft of the manuscript. YS, J-JM and J-JL wrote sections of the manuscript. All authors contributed to manuscript revision, read, and approved the submitted version. All authors contributed to the article and approved the submitted version.

Conflict of interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Publisher’s note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

Supplementary material

The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fped.2022.1079894/full#supplementary-material.

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Summary

Keywords

necrotizing enterocolitis, risk factor, meta analysis, neonate, newborn

Citation

Su Y, Xu R-H, Guo L-Y, Chen X-Q, Han W-X, Ma J-J, Liang J-J, Hao L and Ren C-J (2023) Risk factors for necrotizing enterocolitis in neonates: A meta-analysis. Front. Pediatr. 10:1079894. doi: 10.3389/fped.2022.1079894

Received

25 October 2022

Accepted

13 December 2022

Published

06 January 2023

Volume

10 - 2022

Edited by

Shi Yuan, Children's Hospital of Chongqing Medical University, China

Reviewed by

Francesco Cresi, University of Turin, Italy Mayank Priyadarshi, All India Institute of Medical Sciences, India

Updates

Copyright

*Correspondence: Ling Hao Chang-Jun Ren

These authors have contributed equally to this work

Specialty Section: This article was submitted to Neonatology, a section of the journal Frontiers in Pediatrics

Disclaimer

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.

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