About the Authors:
Unzila Ali Nayeri
Roles Data curation, Formal analysis, Investigation, Methodology, Resources, Writing – original draft
Current address: Division of Maternal Fetal Medicine, Department of Obstetrics and Gynecology, University of Miami Health System, Miami, Florida, United States of America
Affiliation: Department of Obstetrics, Gynecology and Reproductive Sciences, Yale University, School of Medicine, New Haven, Connecticut, United states of America
Catalin S. Buhimschi
Roles Conceptualization, Data curation, Formal analysis, Funding acquisition, Methodology, Project administration, Supervision, Visualization, Writing – review & editing
* E-mail: [email protected]
Current address: Department of Obstetrics and Gynecology, The Ohio State University, College of Medicine, Columbus, Ohio, United States of America; Center for Perinatal Research, Nationwide Children’s Hospital and Department of Pediatrics, The Ohio State University, College of Medicine, Columbus, Ohio, United States of America
Affiliation: Department of Obstetrics, Gynecology and Reproductive Sciences, Yale University, School of Medicine, New Haven, Connecticut, United states of America
ORCID logo http://orcid.org/0000-0001-6751-8072
Guomao Zhao
Roles Investigation, Writing – review & editing
Current address: Center for Perinatal Research, Nationwide Children’s Hospital and Department of Pediatrics, The Ohio State University, College of Medicine, Columbus, Ohio, United States of America
Affiliation: Department of Obstetrics, Gynecology and Reproductive Sciences, Yale University, School of Medicine, New Haven, Connecticut, United states of America
Irina A. Buhimschi
Roles Conceptualization, Data curation, Formal analysis, Funding acquisition, Methodology, Project administration, Supervision, Visualization, Writing – review & editing
Current address: Department of Obstetrics and Gynecology, The Ohio State University, College of Medicine, Columbus, Ohio, United States of America; Center for Perinatal Research, Nationwide Children’s Hospital and Department of Pediatrics, The Ohio State University, College of Medicine, Columbus, Ohio, United States of America
Affiliation: Department of Obstetrics, Gynecology and Reproductive Sciences, Yale University, School of Medicine, New Haven, Connecticut, United states of America
Vineet Bhandari
Roles Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Resources, Writing – review & editing
Current address: Department of Pediatrics, Drexel University, College of Medicine, Philadelphia, Pennsylvania United States of America
Affiliations Department of Obstetrics, Gynecology and Reproductive Sciences, Yale University, School of Medicine, New Haven, Connecticut, United states of America, Department of Pediatrics, Yale University, School of Medicine, New Haven, Connecticut, United states of America
Introduction
Premature birth (PTB), defined as birth prior to 37 weeks gestation, remains a significant public health problem [1]. In the U.S., the current PTB rate is 9.9%, representing an increase over the last few years [2]. The rate of very-low birthweight newborns (<1,500 grams) remained unchanged at 1.4% [2]. Very premature newborns are at the highest risk of early postnatal death or short-term neonatal complications including intraventricular hemorrhage (IVH), necrotizing enterocolitis (NEC), bronchopulmonary dysplasia (BPD), retinopathy of prematurity (ROP), and periventricular leukomalacia (PVL) [3]. Presence and severity of any of these short-term complications in preterm survivors are significant risk factors for neurodevelopmental delay and long-term disability [4–5].
Out of all PTBs, 70% occur consequent to spontaneous onset of uterine contractions or preterm prelabor rupture of fetal membranes (PPROM) [6]. Provider-initiated PTBs (30–35%) are most often due to concern for preeclampsia (PE), fetal growth restriction (FGR), or both [7–8].Gestational age (GA) and birth weight are correlated with short-term neonatal outcomes [9]. However, contribution of the exposome, a concept collectively describing the role of environment on impacting the disease outcome based on its interaction with the subject's genetic make-up, remains largely unknown [10–11]. The preterm newborn exposome differs from that of a term baby in terms of antenatal, intrapartum, and postnatal exposures. As a result, the exposome may influence the structural and functional integrity of the fetus and the clinical progress of the premature newborn. Inflammatory processes associated with spontaneous PTB in the setting of intra-amniotic infection are known to adversely affect the fetus [12–15]. There is compelling evidence that complications of fetal organ systems (respiratory, gastrointestinal, immune, central nervous system) that are characteristic of early-onset neonatal sepsis (EONS) are at least partially triggered by inflammatory processes in utero [12,16]. It is not well established how the intensity of the fetal inflammatory response in conjunction with GA and other antenatal (e.g. steroids, magnesium sulfate, acid-base status, antibiotics, FGR) and postnatal (e.g. antibiotics, surfactant, ventilator support) factors affect the occurrence of various neonatal complications. Physicians’ ability to detect, at birth presence of biomarkers indicative of neonatal susceptibility and of biological response to an environmental challenge, will represent a significant step forward. Haptoglobin (Hp) is likely to add to our understanding why some but not all premature newborns delivered in the context of infection-induced PTB have poor outcomes [17].
The determinism of prematurity resulting from iatrogenic PTB is different from that of spontaneous PTL or PPROM [18–19]. From this perspective, for the same GA at birth, a fetus exposed to intra-amniotic infection/inflammation (IAI, Triple-I) may have a higher risk of IVH, but not NEC, which could be more frequently encountered by neonates of PE mothers [20]. Our hypothesis was that antenatal, intra-partum and post-partum clinical and environmental factors are linked to neonatal outcomes in a differential fashion. Our objective was to identify determinants of the perinatal clinical exposome related to the underlying etiology of PTB that impact differently on short-term neonatal outcomes.
Materials and methods
Population and study design
We studied 378 consecutive preterm singleton newborns born to mothers who delivered preterm between 23–34 weeks of gestation and consented previously to enrollment in our study. Women were recruited following admission to Labor and Birth or to the High Risk antepartum units at Yale New Haven Hospital (YNHH) and followed prospectively until delivery. Data collection for this study lasted 60 months. Inclusion criteria were symptoms of spontaneous preterm labor or PPROM requiring a clinically indicated amniocentesis to rule out IAI, or severe PE necessitating iatrogenic PTB. Maternal signs and symptoms for which an amniocentesis was indicated to rule-out IAI included fever (>100.4°F), persistent abdominal contractions unrelieved by hydration, abdominal tenderness, and advanced cervical dilatation (>3 cm). All newborns were admitted to YNHH Newborn Intensive Care Unit (NICU) and were followed prospectively until death or discharge. Indications for delivery, maternal and neonatal medical care or admission were based on the judgment of the clinicians independent of our research protocol. To verify the accuracy of our data we conducted periodic audits through random sampling of cases by two investigators and one research nurse. The audits showed excellent agreement of case reports. None of the enrolled patients withdrew from the study, and follow-up data were available for all neonates admitted to the NICU. The Yale University Human Investigation Committee approved the study protocol. Written informed consent was obtained from all study participants.
Three distinct contemporaneous cohorts of premature newborns emerged: i) preterm neonates born in the setting of spontaneous PTL or PPROM and evidence of intra-amniotic infection/inflammation (Yes-IAI, n = 116); ii) preterm neonates born in the setting of spontaneous PTL or PPROM absent IAI at the time of the amniocentesis (No-IAI, n = 131); iii) premature newborns delivered iatrogenic for maternal and/or fetal indications in the context of PE (n = 131). The PE group was the best option we had to compare the results of neonates delivered in the context of spontaneous PTB vs. iatrogenic induced PTB where the potential of antenatal exposure of the baby to IAI was minimal. Performance of the amniocentesis procedure as well as the recommendation for delivery occurred independent of our study protocol. Primary study outcomes were incidence of IVH, NEC, BPD, ROP, PVL, and/or postnatal death. Baseline demographic (sex, race, GA), antenatal (magnesium sulfate, steroids, antibiotics, membrane status, amniotic fluid infection, histologic chorioamnionitis [HCA], FGR, and postnatal (ventilator support, surfactant, sepsis) variables were collected at or near the time of delivery and used to identify the strongest model predictive of each adverse neonatal outcome. An important feature of our study was availability of the NICU derived data collected in the YNHH Newborn Special Care unit on a real-time basis. Fig 1 depicts a schematic representation of the study design and variables used to characterize the antenatal, intrapartum, and postnatal exposome, respectively.
[Figure omitted. See PDF.]
Fig 1. Schematic representation of fetal and neonatal exposome based on exposures and events that may occur in the antepartum, intrapartum, and postpartum periods.
Clinical and laboratory variables informative of the exposome are listed inside the boxes. Abbreviations: NBSCU, newborn special care unit; IVH, intraventricular hemorrhage; NEC, necrotizing enterocolitis; BPD, bronchopulmonary dysplasia; ROP, retinopathy of prematurity; PVL, periventricular leukomalacia; MR, mass restricted; AF, amniotic fluid; PPROM, preterm premature rupture of membranes; FGR, fetal growth restriction; Triple I, intra-amniotic infection/inflammation; Hp, haptoglobin.
https://doi.org/10.1371/journal.pone.0207298.g001
Clinical definitions
GA was established based on last menstrual period confirmed by an ultrasonographic examination prior to 20 weeks [21]. PTB was defined as delivery of the neonate <37 weeks GA [22]. At our institution, an amniocentesis was not clinically indicated to diagnose IAI in women presenting with symptoms of preterm labor or PPROM after >34 weeks. Thus, the upper range of GA was 34 weeks for all study groups. PE was defined according to established clinical and laboratory criteria [23]. FGR was defined as ultrasonographic estimated fetal growth less than the 10th percentile [24].
EONS was defined as confirmed or suspected sepsis ≤72 h after birth [25]. Neonatal hematological indices and sepsis categorization were assessed from neonatal blood specimens and microbial cultures obtained within 2 h from birth [26]. Late-onset sepsis (LOS) was defined by positive blood cultures >72 h after birth. Details are provided in the S1 Appendix. IVH was defined according to the Papile’s classification of cranial ultrasound (routinely done at least twice in the first 10 days of life, and later as clinically indicated) by findings of blood in the germinal matrix or ventricular system, with or without ventricular dilation and parenchymal extension [27]. NEC was defined according to Bell’s classification as stage II and above [28]. BPD was defined as the need for supplemental oxygen at 36 weeks postnatal age along with characteristic radiographic changes [29]. ROP was defined as per the international classification [30]. Presence of PVL was considered based on cerebral ultrasound findings of increased echogenicity and cystic lesions in the periventricular white matter [31].
Biological samples
For the No-IAI and Yes-IAI groups of newborns, amniotic fluid was available for analysis in all cases per study design. In a subset of PE cases (41/131), for research purpose only, amniotic fluid was retrieved in sterile fashion trans-myometrial at the time of Cesarean delivery prior to delivery of the baby. Umbilical cord gas analysis was performed from venous and arterial cord blood samples. Excess umbilical vein blood was collected for research purpose and was available in 84% (97/116), 72% (93/130) and 68% (89/131) of Yes-IAI, No-IAI and PE groups cases, respectively. Technical details about preparation and storage of the biological materials are provided in the S1 Appendix.
Clinical diagnosis and research evaluation of IAI and HCA
Clinical laboratory tests performed to diagnose IAI included glucose, lactate dehydrogenase (LDH), Gram stain, and white blood cell (WBC) count. Microbiological analysis of amniotic fluid included Gram stain and microbial cultures. In all 378 cases, placenta was evaluated and HCA was graded as previously described [32–33]. Details are provided in the S1 Appendix.
For research purposes, presence of IAI was assessed by proteomic profiling of amniotic fluid as previously described [34–35]. As the 4 biomarkers of the MR score (defensin-1, defensin-2, calgranulin-A, calgranulin-C) are part of the innate immune response of the amniotic cavity, classification of IAI using this method reflects the host response to environmental exposure (presence of microorganisms or other noxious stimuli capable able of eliciting a host response) [10,17]. Presence in the amniotic fluid of 3–4 of the above mentioned biomarkers was indicative of IAI.
Interleukin-6 (IL-6) immunoassays
IL-6 levels were measured in amniotic fluid and cord serum by ELISA (Pierce-Endogen, Rockford, IL) by investigators unaware of sample origin (see S1 Appendix).
Assessment of fetal exposure to IAI by Hp switch-on status
In prior publications, we demonstrated that the ability of the fetus to precociously switch-on Hp as an adaptive host response can serve as marker of antenatal exposure to IAI [10,17]. Absence of cord blood Hp at the protein level denotes Hp0-0 phenotype (anhaptoglobinemia). A detectable Hp β-chain (42 kDa) on Western blot was indicative of a “switch-on” (see S1 Appendix).
Statistical analysis
Statistical analyses were performed using SigmaPlot, (v12 Systat, Chicago, IL) and MedCalc (Broekstraat, Belgium) statistical software programs. Normality testing was performed using the Shapiro-Wilk test. Data was presented as median and interquartile ranges as appropriate. Mann-Whitney or Kruskal-Wallis ANOVA tests followed by multiple comparison procedures (Dunn’s method) were performed as appropriate. Comparisons between proportions were done with Chi square or Fisher exact tests. A stepwise logistic regression analysis was used to determine concurrent relationships between variables and to identify the strongest model predictive of each adverse neonatal outcome. The model included as independent variables maternal and neonatal admission variables, GA at birth, route of delivery, sex, steroids, exposure to magnesium for neuroprotection, and need for surfactant. Model quality was assessed using the Hosmer-Lemeshow goodness-of-fit test [36]. A backwards approach was taken to select those variables that associated most strongly with neonatal morbidity. We calculated the sample size based on a 10% likelihood difference between rates of neonatal adverse outcomes if the neonates are exposed to IAI. Assuming 80% power and a 2-sided α = 0.05, at least 110 patients were needed in each group. A P value of <0.05 was considered significant throughout the analysis.
Results
Characteristics of women
Table 1 displays the demographic and clinical characteristics of women and newborns enrolled in this study. Women in the No-IAI group were more likely to be white, compared to Yes-IAI and PE groups, where the proportion of African American women was higher (P<0.001). Women with PTB in the setting of Yes-IAI were enrolled and delivered at earlier GAs compared with both other groups (P<0.001). Newborns of both Yes-IAI and No-IAI groups were more likely to be exposed to ruptured membranes and prenatal antibiotic therapy (P<0.001). As expected, pregnancies delivered in the setting of PE had a higher frequency of antenatal magnesium sulfate exposure and FGR (P<0.001). All 6 stillbirths in our study occurred in the PE group (P = 0.003). The prevalence of provider initiated deliveries and lower birthweights was higher in women in Yes-IAI and PE groups (P<0.001). The length of stay in the NICU was significantly higher for neonates delivered by mothers with Yes-IAI or PE compared to those of mothers with No-IAI. Among live born newborns, those in the Yes-IAI group had a higher proportion of Apgar scores <7 at 5 min compared with the other two groups (P = 0.009). Babies born in the context of PE were more often delivered by Cesarean for indications such as breech presentation or induction failure (P<0.001).
[Figure omitted. See PDF.]
Table 1. Clinical characteristics of women and newborns.
https://doi.org/10.1371/journal.pone.0207298.t001
Amniotic fluid, placenta, and cord blood analytes
In Table 2 we present the results of the laboratory evaluations of amniotic fluid, placenta, and umbilical cord blood.
[Figure omitted. See PDF.]
Table 2. Laboratory and Histological analyses.
https://doi.org/10.1371/journal.pone.0207298.t002
Women in the Yes-IAI group had lower amniotic fluid glucose levels, higher LDH, elevated WBCs, and positive Gram stain and/or amniotic fluid cultures (P<0.001 for all). In the Yes-IAI group, all women had MR scores 3–4 as grouped by study design, and this associated with markedly elevated concentration of amniotic fluid IL-6 (P<0.001). Interestingly, several samples from the No-IAI group grew bacteria, but the MR score was 0 (zero), implying contamination or sampling prior to the onset of IAI. Women who underwent intra-operative amniocentesis during Cesarean delivery in the context of PE had extremely low levels of amniotic fluid IL-6, significantly lower than women in No-IAI and Yes-IAI groups (P<0.001). In patients with Yes-IAI, placental histopathology confirmed higher severity of inflammation in all placental compartments (P<0.001 for all). Cord blood IL-6 and Hp levels were significantly higher in fetuses of women in the Yes-IAI group. Similarly, the frequency of Hp switch-on status was significantly higher in the Yes-IAI group, implying fetal host response to antenatal exposure to inflammation. In the cohort of pregnancies complicated by PE, both cord blood arterial and venous pH values were significantly lower compared with the other two groups (P<0.001).
Predictors of short-term neonatal complications
The frequency of adverse short-term neonatal outcome for each study group is displayed in Table 3. IVH, ROP, and late-onset sepsis occurred more often in newborns born in the setting of IAI, compared with No-IAI newborns. Newborns of preeclamptic mothers had significantly higher frequency of ROP and late-onset sepsis than No-IAI newborns. They also had lower frequency of NEC when compared to Yes-IAI newborns. Fig 2 illustrates the log odds ratios of individual short-term adverse neonatal outcomes for newborns born in the context of IAI or PE compared with the No-IAI group as referent.
[Figure omitted. See PDF.]
Fig 2. Forest plot of odds ratios of postnatal outcomes in newborns exposed to intra-amniotic inflammation (Yes-IAI) or preeclampsia (PE).
Log odds ratios (open symbols) and 95% confidence intervals (horizontal lines) for outcomes relative to reference group (No-IAI). Vertical interrupted line marks the point of no difference from reference group. * Outcomes were significantly different (P<0.05). Abbreviations: IVH, intraventricular hemorrhage; NEC, necrotizing enterocolitis; BPD, bronchopulmonary dysplasia; ROP, retinopathy of prematurity; PVL, periventricular leukomalacia; EONS, early-onset neonatal sepsis; LOS, late-onset sepsis.
https://doi.org/10.1371/journal.pone.0207298.g002
[Figure omitted. See PDF.]
Table 3. Frequency of short-term newborn outcomes in each study group.
https://doi.org/10.1371/journal.pone.0207298.t003
Next, by using multivariable logistic regression analysis, we found that IVH was associated with HCA, GA at birth, FGR, male sex, and in utero exposure to inflammation as determined by cord blood Hp switch-on status (Table 4). The only predictor for NEC was GA at birth. Higher levels of cord blood IL-6 were an increased risk of PVL, implying an important role of fetal inflammation on this complication. Predictive factors for BPD included need for ventilator support, need for surfactant, and GA at delivery. Need for ventilator support, in utero exposure to IAI as determined by cord blood Hp switch-on status, and GA at birth were independent predictive factors of ROP. We found that decreasing GA at birth and IL-6 were significant predictors or stillbirth or neonatal death. GA and Hp switch-on status were significant determinant for EONS while LOS was significantly related to GA alone.
[Figure omitted. See PDF.]
Table 4. Logistic regression analysis for risk of short-term newborn outcomes.
https://doi.org/10.1371/journal.pone.0207298.t004
Discussion
To determine the antenatal, intrapartum and postnatal factors that contribute to short-term morbidity of preterm newborns, we evaluated to the best of our ability clinical and laboratory variables informative of fetal and neonatal exposomes. We focused our attention on neonates delivered <34 weeks, because the early PTB rate (<34 weeks) remained unchanged during the last decade at 2.76% [2]. This group of neonates is important because the rates of short and long-term adverse outcomes are much higher for babies delivered early versus late preterm [37]. To understand the main risks associated with premature delivery of a baby exposed to an inflammatory insult we focused our attention on pregnancies complicated by IAI. Different from previous epidemiologic retrospective studies, we included markers of amniotic fluid and cord blood inflammation, indications for delivery, placental pathology, and postnatal events in addition to multiple clinical variables including GA at birth, birth weight, and antenatal exposure to pharmacologic interventions (e.g. steroids, antibiotics, and magnesium sulfate).
We found that neonatal mortality and morbidity increased with delivery at earlier GA [38]. This was not surprising as previous data has shown that each additional week of gestation confers survival benefit in neonates delivered from 26 to 32 weeks GA [22]. Furthermore, premature infants are more likely to require additional support for special needs during their lifetime compared to those infants delivered at 37–42 weeks GA [39,40]. This is relevant as developmental delays of preterm babies has previously been linked to NEC, IVH, PVL, and ROP, complications that occur more often with birth at earlier GA [41–44]. These epidemiologic findings bring into discussion a need for better understanding of the mechanisms through which neonatal biologic immaturity predisposes to these conditions. The answers to these questions are complex and largely unknown. For example, for newborns born in the context of PE, disturbances in the maternal and placental angiogenic growth factor system may impact development and maturation of the pulmonary and retinal micro-vascular apparatus. It is worth considering that GA at birth is an important variable of the robustness to which fetal and neonatal innate immunity can respond to microbial challenge, which in turn can impact susceptibility to sepsis [45]. In addition, inflammation, exposure to general anesthesia, postnatal mechanical ventilation, placement of central lines, and exposure to various medications could play synergistic roles [41,42,44]. Based on our data, we can conclude that in pregnancies complicated by IAI or PE, GA was an independent risk factor for all short-term neonatal complications. However, in the current study and contrary to what has been previously proposed, GA was not the only factor determining the outcome [11].
A hostile antenatal intra-uterine inflammatory environment represented by amniotic fluid infection, elevated amniotic fluid and cord blood IL-6 levels along with the fetal response to this environment, as reflected by Hp switch-on status, were significantly associated with IVH, PVL, ROP, death, and EONS. Because not all premature neonates have a heightened state of inflammation at birth, our observations have pathophysiologic and clinical implications. It seems reasonable to assume that in pregnancies managed expectantly, the fetus is initially isolated and protected against amniotic fluid infection and inflammation provided infection did not spread hematogenously [46]. The compartmentalization process, however, aimed at protecting fetus and mother in the initial phase of the process, can be overcome especially in the setting of amniotic fluid infection and HCA [47]. The observed distribution pattern of cord blood Hp expression supports the above assertion [17]. Yet, in addition to its value as a biomarker of antenatal exposure to inflammation, Hp may have direct beneficial roles. Hp inhibits lipid peroxidation and binds free hemoglobin, thereby potentially limiting damage [48,49]. This may explain why Hp could be of benefit in conditions with high oxidative stress and angiogenic factor imbalance, such as IVH and ROP [50]. From a clinical perspective, our results are highly relevant. Free hemoglobin released during brain hemorrhage is cytotoxic and causes neuronal damage. In animal models of intracerebral hemorrhage, genetically-induced ahaptoglobinemia or hypohaptoglobinemia result in inability to neutralize free hemoglobin leaked inside the brain, leading to severe brain injury and neuronal deficits [51,52]. Interestingly, we found that low cord blood IL-6 level was associated with stillbirth or neonatal death. Because most stillbirths were encountered in the PE group, we believe this phenomenon could be linked with the fetus’ inability to mount an inflammatory response. Our assertion is supported by previous studies demonstrating that babies of mothers with PE display disrupted hematopoiesis manifested as neonatal thrombocytopenia and neutropenia [53]. Because transcription of the human Hp gene is induced by IL-6, a fetal hypo-inflammatory response would be also associated with low Hp levels and death, as previously shown [50,54].
While attention of clinician scientists has traditionally focused on the postnatal relationship between oxygen needs and ROP, Lee and Dammann proposed that risk of ROP could be increased following in utero exposure to inflammation, in a “double-hit” theory [55]. Klinger et al. reported in a large cohort that EONS is a risk factor for ROP [56]. Interestingly, a previous report linked PE with ROP [57]. The underlying mechanism of this association remains unknown. It is possible that similar to the placenta, fetal retinal vasculature reacts to hypoxia with heightened stabilization of hypoxia inducible factor-1α (HIF-1α) [58]. Given the regulatory role of oxygen and involvement of HIF-1α in ROP, newborns born in the context of PE may also have higher tissue sensitivity to the toxic effects of oxygen with higher output of vascular endothelial growth factor (VEGF) [59]. Our analysis revealed that the risk of ROP in PE is twice that of No-IAI newborns, but lower than the risk in Yes-IAI neonates. As HIF-1α and VEGF upregulation could also result from exposure to an inflammatory process, this could also explain the heightened ROP risk in Yes-IAI newborns [56].
We found that in addition to antenatal exposure to inflammation, neonates that developed ROP had an increased need for ventilator support [60,61]. In premature babies, hyperoxia achieved during ventilation represents a well-recognized risk of ROP. Consequently, for many years practitioners focused their attention on the relationship between retinal vascular proliferation, VEGF, and high vs low oxygen saturation [62,63]. The search for a better preventive approach must continue because large clinical trials have consistently demonstrated a drop in the rate of ROP if a lower oxygen saturation target was maintained, but at the expense of an increased rate of neonatal death [59,60]. We suggest that clinical strategies aimed at addressing the inflammatory component of the disease in concert with managing oxidative stress and angiogenesis may prevent or ameliorate long-term consequences of ROP, IVH, and PVL [64].
We found NEC and BPD were not significantly impacted by antenatal inflammation. Although in pregnancies complicated by IAI we cannot exclude a relationship between antenatal risk factors (i.e. genetic susceptibility, FGR) and BPD, our results imply that lung immaturity, reflected in the need for ventilator support and surfactant are the main risk factors for BPD [65–67]. Similar to us, Stafford et al. showed that infectious morbidities including chorioamnionitis and intrapartum antibiotic administration were not significantly associated with higher NEC [68]. Hackam et al. showed that amniotic fluid can inhibit intestinal mucosa Toll-like receptor-4 signaling within the fetal intestine and attenuate experimental NEC in mice [69]. This protective effect was attributed to epidermal growth factor. Postnatal gut colonization and microbiota, intestinal ischemia, and enteral feeding could play a more important role than antenatal factors [70].
Comparing neonatal outcomes between preterm infants born in the setting of PE vs spontaneous PTB, Bastek et al. found that outcomes differed across GA; outcomes were less favorable for spontaneous PTB infants at earlier GAs (24 to 28 weeks), whereas neonates born to mothers with PE suffered increased morbidity 32 to 34 weeks GA [71]. In contrast to our analysis, this earlier study addressed limited neonatal outcomes, which did not include BPD, ROP, PVL, and death, using two non-contemporaneous cohorts. Due to rapid advancement in neonatal care, differences in neonatal management may have contributed to their findings.
The main strength of our study was completeness of data in a cohort of neonates whose mothers were followed prospectively following either a clinically indicated amniocentesis to rule-out IAI, or iatrogenic delivery for PE. In comparison to many epidemiologic studies, our analysis, for the first time, includes assessment of cord blood and amniotic fluid biomarkers of inflammation. As such, inflammatory status of the fetal and gestational sac compartments was addressed objectively, and not subjectively as is often the case when maternal clinical chorioamnionitis is reported [20]. The findings of this study should be viewed in the context of the impossibility to address all the components of the exposome including genetic susceptibility for ROP, BPD, LOS, and possibly NEC and IVH [72–76]. Based on inherent complexity, the possibility of residual confounding in our analyses cannot be excluded, and no causal inferences can be made at this point. Neonates born late preterm (34–37 weeks) have an increased risk of morbidity [38]. At our institution, an amniocentesis to rule-out IAI is not recommended after 34 weeks GA. In addition, delivery of the patients presenting with PPROM after 34 weeks is routinely indicated immediately following confirmation of the diagnosis [77]. Therefore, in these clinical scenarios, evaluation of IAI as a risk factor for IVH, PVL, ROP, death, EONS, NEC, and BPD would have been difficult to assess, especially when the prevalence of these outcomes is low after 34 weeks of gestation.
Conclusions
When prematurity is unavoidable, antenatal and postnatal risk factors play distinct roles in the development of IVH, NEC, PVL, BPD, ROP, EONS, and LOS. Our data offer an opportunity to better counsel mothers at risk for spontaneous or iatrogenic prematurity in the setting of IAI or PE. Prevention of IVH, NEC, PVL, BPD, ROP, EONS, and LOS must focus on identification and differential targeting of specific antenatal, perinatal, and postnatal events.
Supporting information
[Figure omitted. See PDF.]
S1 Appendix. Supplemental methods.
https://doi.org/10.1371/journal.pone.0207298.s001
(PDF)
Acknowledgments
We are indebted to the nurses, residents, and fellows from the Department of Obstetrics, Gynecology and Reproductive Sciences at Yale New Haven Hospital and to all patients who participated in the study.
Citation: Nayeri UA, Buhimschi CS, Zhao G, Buhimschi IA, Bhandari V (2018) Components of the antepartum, intrapartum, and postpartum exposome impact on distinct short-term adverse neonatal outcomes of premature infants: A prospective cohort study. PLoS ONE 13(12): e0207298. https://doi.org/10.1371/journal.pone.0207298
1. Liu L, Johnson HL, Cousens S, Perin J, Scott S, Lawn JE, et al. Child Health Epidemiology Reference Group of WHO and UNICEF. Global, regional, and national causes of child mortality: an updated systematic analysis for 2010 with time trends since 2000. Lancet. 2012;379: 2151–2161. pmid:22579125
2. Martin JA, Hamilton BE, Osterman MJK, Driscoll AK, Drake P. Births final data for 2016. Natl Vital Stat Rep. 2018;67: 1–55.
3. Msall ME. Developmental vulnerability and resilience in extremely preterm infants. JAMA. 2004;292: 2399–2401. pmid:15547169
4. Luu TM, Ment LR, Schneider KC, Katz KH, Allan WC, Vohr BR. Lasting effects of preterm birth and neonatal brain hemorrhage at 12 years of age. Pediatrics. 2009;123: 1037–1044. pmid:19255037
5. Majnemer A, Riley P, Shevell M, Birnbaum R, Greenstone H, Coates AL. Severe broncho-pulmonary dysplasia increases risk for later neurological and motor sequelae in preterm survivors. Dev Med Child Neurol. 2000;42: 53–60. pmid:10665976
6. Goldenberg R, Culhane J, Iams J, Romero R. Epidemiology and causes of preterm birth. Lancet. 2008;371: 75–84. pmid:18177778
7. Klebanoff MA, Yossef-Salameh L, Latimer C, Oza-Frank R, Kachoria R, Reagan PB, et al. Development and validation of an algorithm to determine spontaneous versus provider-initiated preterm birth in US vital records. Paediatr Perinat Epidemiol. 2016;30(2):134–140. pmid:26860444
8. Roberts JM, Cooper DW. Pathogenesis and genetics of pre-eclampsia. Lancet. 2001;357: 53–56. pmid:11197372
9. Rodríguez-Trujillo A, Cobo T, Vives I, Bosch J, Kacerovsky M, Posadas DE, et al. Gestational age is more important for short-term neonatal outcome than microbial invasion of the amniotic cavity or intra-amniotic inflammation in preterm prelabor rupture of membranes. Acta Obstet Gynecol Scand. 2016;95: 926–933. pmid:27061307
10. Wild C. Complementing the genome with an "exposome": The outstanding challenge of environmental exposure measurement in molecular epidemiology. Cancer Epidemiol Biomarkers Prev. 2005;14: 1847–1850. pmid:16103423
11. Buhimschi IA, Buhimschi CS. Proteomics/diagnosis of chorioamnionitis and of relationships with the fetal exposome. Semin Fetal Neonatal Med. 2012;17: 36–45. pmid:22100864
12. Leviton A. Preterm birth and cerebral palsy: Is tumor necrosis factor the missing link? Dev Med Child Neurol. 1993;35: 553–558. pmid:8504899
13. Costantine M, How H, Coppage K, Maxwell R, Sibai B. Does peripartum infection increase the incidence of cerebral palsy in extremely low birthweight infants? Obstet Gynecol. 2007;196: e6–e8.
14. Keogh J, Badawi N. The origins of cerebral palsy. Curr Opin Neurol. 2006;19:129–34. pmid:16538085
15. Babnik J, Stucin-Gantar I, Kornhauser-Cerar L, Sinkovec J, Wraber B, Derganc M. Intrauterine inflammation and the onset of peri-intraventricular hemorrhage in premature infants. Biol Neonate. 2006;90: 113–121. pmid:16549908
16. Moscuzza F, Belcari F, Nardini V, Bartoli A, Domenici C, Cuttano A, et al. Correlation between placental histopathology and fetal/neonatal outcome: chorioamnionitis and funisitis are associated to intraventricular hemorrhage and retinopathy of prematurity in preterm newborns. Gynecol Endocrinol. 2011;27: 319–323. pmid:20528214
17. Buhimschi CS, Bhandari V, Dulay AT, Nayeri UA, Abdel-Razeq SS, Pettker CM, et al. Proteomics mapping of cord blood identifies haptoglobin "switch-on" pattern as biomarker of early-onset neonatal sepsis in preterm newborns. PLoS ONE. 2011;6: e26111–e26111. pmid:22028810
18. MacKay AP, Berg CJ, Atrash HK. Pregnancy-related mortality from preeclampsia and eclampsia. Obstet Gynecol. 2001;97: 533–538. pmid:11275024
19. Sibai B, Dekker G, Kupferminc M. Pre-eclampsia. Lancet. 2005;365: 785–799. pmid:15733721
20. Higgins RD, Saade G, Polin RA, Grobman WA, Buhimschi IA, Watterberg K, et al; Chorioamnionitis Workshop Participants. Chorioamnionitis Workshop Participants. Evaluation and management of women and newborns with a maternal diagnosis of chorioamnionitis: Summary of a Workshop. Obstet Gynecol. 2016;127: 426–436. pmid:26855098
21. Committee Opinion No 161: Method for estimating due date. Obstet Gynecol. 2014;124: 863–866.
22. Committee on Practice Bulletins-Obstetrics, The American College of Obstetrics and Gynecologists. Practice Bulletin no. 130: Prediction and prevention of preterm birth. 2012;120: 964–973.
23. American College of Obstetricians and Gynecologists; Task Force on Hypertension in Pregnancy. Hypertension in pregnancy. Report of the American College of Obstetricians and Gynecologists’ Task Force on Hypertension in Pregnancy. Obstet Gynecol. 2013;122:1122–1131. pmid:24150027
24. American College of Obstetricians and Gynecologists. ACOG Practice bulletin no. 134: fetal growth restriction. Obstet Gynecol. 2013;121: 1122–1133. pmid:23635765
25. Rodwell RL, Leslie AL, Tudehope DI. Early diagnosis of neonatal sepsis using a hematologic scoring system. J Pediatr. 1988;112: 761–767. pmid:3361389
26. Bhandari V, Wang C, Rinder C, Rinder H. Hematologic profile of sepsis in neonates: Neutrophil CD64 as a diagnostic marker. Pediatrics. 2008;121:129–134. pmid:18166566
27. Papile LA, Burstein J, Burstein R, Koffler H. Incidence and evolution of subependymal and intraventricular hemorrhage: A study of infants with birth weights less than 1,500 gm. J Pediatr. 1978;92: 529–534. pmid:305471
28. Bell MJ, Ternberg JL, Feigin RD. Neonatal necrotizing enterocolitis. therapeutic decisions based upon clinical staging. Ann Surg. 1978;187: 1–7. pmid:413500
29. Shennan AT, Dunn MS, Ohlsson A, Lennox K, Hoskins EM. Abnormal pulmonary outcomes in premature infants: Prediction from oxygen requirement in the neonatal period. Pediatrics. 1988;82: 527–532. pmid:3174313
30. Patz A. New international classification of retinopathy of prematurity. Pediatrics. 1984;74: 160–161. pmid:6547527
31. Ment LR, Bada HS, Barnes P, Grant PE, Hirtz D, Papile LA, et al. Practice parameter: neuroimaging of the neonate: report of the Quality Standards Subcommittee of the American Academy of Neurology and the Practice Committee of the Child Neurology Society. Neurology. 2002;58: 1726–1738. pmid:12084869
32. Salafia CM, Weigl C, Silberman L. The prevalence and distribution of acute placental inflammation in uncomplicated term pregnancies. Obstet Gynecol. 1989;73: 383–389. pmid:2915862
33. Ghidini A, Salafia CM, Kirn V, Doria V, Spong CY. Biophysical profile in predicting acute ascending infection in preterm rupture of membranes before 32 weeks. Obstet Gynecol. 2000;96: 201–206. pmid:10908763
34. Buhimschi I, Christner R, Buhimschi C. Proteomic biomarker analysis of amniotic fluid for identification of intra-amniotic inflammation. BJOG. 2005;112: 173–181. pmid:15663581
35. Buhimschi CS, Bhandari V, Hamar BD, Bahtiyar MO, Zhao G, Sfakianaki AK, et al. Proteomic profiling of the amniotic fluid to detect inflammation, infection, and neonatal sepsis. PLoS Med. 2007;4: e18. pmid:17227133
36. Hosmer DW Jr, Lemeshow S, Sturdivant RX. Assessing the fit of the model. In Applied Logistic Regression (3rd edn). JohnWiley: Hoboken, 2013. pp. 153–226.
37. Manuck TA, Rice MM, Bailit JL, Grobman WA, Reddy UM, Wapner RJ, et al. Eunice Kennedy Shriver National Institute of Child Health and Human Development Maternal-Fetal Medicine Units Network. Preterm neonatal morbidity and mortality by gestational age: a contemporary cohort. Am J Obstet Gynecol. 2016;215: 103.e1–103.e14.
38. Lawn JE, Blencowe H, Oza S, You D, Lee AC, Waiswa P, et al. Lancet Every Newborn Study Group. Every Newborn: progress, priorities, and potential beyond survival. Lancet. 2014;384: 189–205. pmid:24853593
39. MacKay DF, Smith GC, Dobbie R, Pell JP. Gestational age at delivery and special educational need: retrospective cohort study of 407,503 schoolchildren. PLoS Med. 2010;7: e1000289. pmid:20543995
40. Mackay DF, Smith GC, Dobbie R, Cooper SA, Pell JP. Obstetric factors and different causes of special educational need: retrospective cohort study of 407,503 schoolchildren. BJOG. 2013;120: 297–307. pmid:23189965
41. Allendorf A, Dewitz R, Weber J, Bakthiar S, Schloesser R, Rolle U. Necrotizing enterocolitis as a prognostic factor for the neurodevelopmental outcome of preterm infants—match control study after 2 years. J Pediatr Surg. 2018 Jan 31. pii: S0022-3468(18)30013-7. pmid:29409620
42. Mukerji A, Shah V, Shah PS. Periventricular/Intraventricular Hemorrhage and Neurodevelopmental Outcomes: A Meta-analysis. Pediatrics. 2015;136: 1132–1143. pmid:26598455
43. O'Shea TM, Kuban KC, Allred EN, Paneth N, Pagano M, Dammann O, et al. Extremely Low Gestational Age Newborns Study Investigators. Neonatal cranial ultrasound lesions and developmental delays at 2 years of age among extremely low gestational age children. Pediatrics. 2008;122: e662–e669. pmid:18762501
44. Hellström A, Källén K, Carlsson B, Holmström G, Jakobsson P, Lundgren P, et al. Extreme prematurity, treated retinopathy, bronchopulmonary dysplasia and cerebral palsy are significant risk factors for ophthalmological abnormalities at 6.5 years of age. Acta Paediatr. 2018;107: 811–821. pmid:29281748
45. Marchant EA, Kan B, Sharma AA, van Zanten A, Kollmann TR, Brant R, et al. Attenuated innate immune defenses in very premature neonates during the neonatal period. Pediatr Res. 2015;78: 492–497. pmid:26186294
46. Archabald KL, Buhimschi IA, Bahtiyar MO, Dulay AT, Abdel-Razeq SS, Pettker CM, et al. Limiting the Exposure of Select Fetuses to Intrauterine Infection/Inflammation Improves Short-Term Neonatal Outcomes in Preterm Premature Rupture of Membranes. Fetal Diagn Ther. 2017;42: 99–110. pmid:27794570
47. Dulay AT, Buhimschi IA, Zhao G, Bahtiyar MO, Thung SF, Cackovic M, et al. Compartmentalization of acute phase reactants Interleukin-6, C-Reactive Protein and Procalcitonin as biomarkers of intra-amniotic infection and chorioamnionitis. Cytokine. 2015;76: 236–243. pmid:25957466
48. Ratanasopa K, Chakane S, Ilyas M, Nantasenamat C, Bulow L. Trapping of human hemoglobin by haptoglobin: molecular mechanisms and clinical applications. Antioxid Redox Signal. 2013;18: 2364–2374. pmid:22900934
49. Tseng CF, Lin CC, Huang HY, Liu HC, Mao SJ. Antioxidant role of human haptoglobin. Proteomics. 2004;4: 2221–2228. pmid:15274115
50. Buhimschi CS, Buhimschi IA, for the Eunice Kennedy Shriver National Institute of Child Health and Human Development Maternal-Fetal Medicine Units Network. Cord blood (CB) haptoglobin (Hp) switch-on as a biomarker of exposure to intra-uterine inflammation and adverse neonatal and childhood outcomes. Am J Obstet Gynecol. 2015;212: S86.
51. Agyemang AA, Sveinsdóttir K, Vallius S, Sveinsdóttir S, Bruschettini M, Romantsik O, et al. Cerebellar exposure to cell-free hemoglobin following preterm intraventricular hemorrhage: Causal in Cerebellar Damage? Transl Stroke Res. 2017. pmid:28601919
52. Zhao X, Song S, Sun G, Zhang J, Strong R, Zhang L, et al. Cytoprotective role of haptoglobin in brain after experimental intracerebral hemorrhage. Acta Neurochir Suppl. 2011;111: 107–112. pmid:21725739
53. Marins LR, Anizelli LB, Romanowski MD, Sarquis A. How does preeclampsia affect neonates? Highlights in the disease's immunity. J Matern Fetal Neonatal Med. 2017: 1–8.
54. Oliviero S, Cortese R. The human haptoglobin gene promoter: interleukin-6-responsive elements interact with a DNA-binding protein induced by interleukin-6. EMBO J. 1989;8: 1145–1151. pmid:2787245
55. Lee J, Dammann O. Perinatal infection, inflammation, and retinopathy of prematurity. Semin Fetal Neonatal Med. 2012;17: 26–29. pmid:21903492
56. Klinger G, Levy I, Sirota L, Boyko V, Lerner-Geva L, Reichman B; Israel Neonatal Network. Outcome of early-onset sepsis in a national cohort of very low birth weight infants. Pediatrics. 2010;125: e736–740. pmid:20231184
57. Shah VA, Yeo CL, Ling YL, Ho LY. Incidence, risk factors of retinopathy of prematurity among very low birth weight infants in Singapore. Ann Acad Med Singapore. 2005;34: 169–178. pmid:15827664
58. Tal R. The role of hypoxia and hypoxia-inducible factor-1alpha in preeclampsia pathogenesis. Biol Reprod. 2012;87: 134. pmid:23034156
59. Vadlapatla RK, Vadlapudi AD, Mitra AK. Hypoxia-inducible factor-1 (HIF-1): a potential target for intervention in ocular neovascular diseases. Curr Drug Targets. 2013;14: 919–935. pmid:23701276
60. Kim T, Sohn J, Pi S, Yoon Y. Postnatal risk factors of retinopathy of prematurity. Paediatr Perinat Epidemiol. 2004;18: 130–134. pmid:14996252
61. Karna P, Muttineni J, Angell L, Karmaus W. Retinopathy of prematurity and risk factors: A prospective cohort study. BMC Pediatrics. 2005;5: 18. pmid:15985170
62. Carlo WA, Finer NN, Walsh MC, Rich W, Gantz MG, Laptook AR, et al. SUPPORT Study Group of the Eunice Kennedy Shriver NICHD Neonatal Research Network, Target ranges of oxygen saturation in extremely preterm infants. N Engl J Med. 2010;362: 1959–1969. pmid:20472937
63. Stenson BJ, Tarnow-Mordi WO, Darlow BA, Simes J, Juszczak E, Askie L, et al. BOOST II United Kingdom Collaborative Group; BOOST II Australia Collaborative Group; BOOST II New Zealand Collaborative Group, Oxygen saturation and outcomes in preterm infants. N Engl J Med. 2013;368: 2094–2104. pmid:23642047
64. Aranda JV, Salomone F, Valencia GB, Beharry KD. Non-steroidal Anti-inflammatory Drugs in Newborns and Infants. Pediatr Clin North Am. 2017;64: 1327–1340. pmid:29173788
65. Kalikkot Thekkeveedu R, Guaman MC, Shivanna B. Bronchopulmonary dysplasia: A review of pathogenesis and pathophysiology. Respir Med. 2017;132: 170–177. pmid:29229093
66. Farstad T, Bratlid D, Medb S, Markestad T. Bronchopulmonary dysplasia—prevalence, severity and predictive factors in a national cohort of extremely premature infants. Acta pædiatrica. 2011;100: 53–58. pmid:20653607
67. Thome UH, Dreyhaupt J, Genzel-Boroviczeny O, Bohnhorst B, Schmid M, Fuchs H, et al. PHELBI Study Group. Influence of PCO2 Control on Clinical and Neurodevelopmental Outcomes of Extremely Low Birth Weight Infants. Neonatology. 2018;113: 221–230. pmid:29298438
68. Stafford IA, Rodrigue E, Berra A, Adams W, Heard AJ, Hagan JL et al. The strong correlation between neonatal early-onset Group B Streptococcal disease and necrotizing enterocolitis. Eur J Obstet Gynecol Reprod Biol. 2018;223: 93–97. pmid:29501938
69. Good M, Siggers RH, Sodhi CP, Afrazi A, Alkhudari F, Egan CE, et al. Amniotic fluid inhibits Toll-like receptor 4 signaling in the fetal and neonatal intestinal epithelium. Proc Natl Acad Sci U S A. 2012;109: 11330–11335. pmid:22733781
70. Hackam D, Caplan M. Necrotizing enterocolitis: Pathophysiology from a historical context. Semin Pediatr Surg. 2018;27: 11–18. pmid:29275810
71. Bastek J, Srinivas S, Sammel M, Elovitz M. Do neonatal outcomes differ depending on the cause of preterm birth? A comparison between spontaneous birth and iatrogenic delivery for preeclampsia. Am J Perinatol. 2010;27: 163–169. pmid:19644790
72. Lavoie PM, Pham C, Jang KL. Heritability of bronchopulmonary dysplasia, defined according to the consensus statement of the national institutes of health. Pediatrics. 2008;122: 479–485. pmid:18762515
73. Bizzarro MJ, Hussain N, Jonsson B, Feng R, Ment LR, Gruen JR, Zhang H, Bhandari V.Genetic susceptibility to retinopathy of prematurity. Pediatrics. 2006;118:1858–1863. pmid:17079555
74. Bizzarro MJ, Jiang Y, Hussain N, Gruen JR, Bhandari V, Zhang H. The impact of environmental and genetic factors on neonatal late-onset sepsis. J Pediatr. 2011;158: 234–8.e1. pmid:20850766
75. Cuna A, Sampath V. Genetic alterations in necrotizing enterocolitis. Semin Perinatol. 2017;41: 61–69. pmid:27836427
76. Ment LR, Adén U, Lin A, Kwon SH, Choi M, Hallman M, Lifton RP, Zhang H, Bauer CR; Gene Targets for IVH Study Group. Gene-environment interactions in severe intraventricular hemorrhage of preterm neonates. Pediatr Res. 2014;75: 241–250. pmid:24192699
77. American College of Obstetricians and Gynecologists’ Committee on Practice Bulletins—Obstetrics. Practice Bulletin No. 172: Premature Rupture of Membranes. Obstet Gynecol. 2016;128: e165–177. pmid:27661655
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Abstract
We aimed to test the hypothesis that determinants of the perinatal clinical exposome related to the underlying etiology of premature birth (PTB) impact differently on select neonatal outcomes. We conducted a prospective longitudinal study of 377 singleton preterm neonates [gestational age (GA) at birth: 23–34 weeks] separated into three distinct contemporaneous newborn cohorts: i) spontaneous PTB in the setting of intra-amniotic infection/inflammation (yes-IAI, n = 116); ii) spontaneous PTB in the absence of IAI (no-IAI, n = 130), and iii) iatrogenic PTB for preeclampsia (iPTB-PE, n = 131). Newborns (n = 372) were followed until death or discharge. Amniotic fluid defensins 1&2 and calgranulins A&C were used as biomarkers of IAI. An algorithm considering cord blood interleukin-6 (IL-6) and haptoglobin (Hp switch-on) was used to assess fetal exposure to IAI. Intraventricular hemorrhage (IVH), periventricular leukomalacia (PVL), necrotizing enterocolitis (NEC), bronchopulmonary dysplasia (BPD), retinopathy of prematurity (ROP), early-onset neonatal (EONS) and late-onset (LOS) sepsis, death. Independent risk factors for adverse outcomes were: i) IVH (n = 53): histologic chorioamnionitis, GA, fetal growth restriction, male sex, Hp switch-on; ii) PVL (n = 11): cord blood IL-6; iii) NEC (n = 25), GA; iv) BPD (n = 53): ventilator support, need for surfactant, GA; v) ROP (n = 79): ventilator support, Hp switch-on, GA; vi) fetal and neonatal death (n = 31): GA, amniotic fluid IL-6; vii) suspect EONS (n = 92): GA, Hp switch-on; viii) LOS (n = 81): GA. Our findings are applicable to pregnancies delivered between 23 and 34 weeks’ gestation in the setting of IAI and PE, and suggest that GA and inflammatory intrauterine environment play key roles in occurrence of IVH, PVL, ROP, death, EONS and LOS. Postnatal determinants seem to play major role in NEC and BPD.
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