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. 2021 Dec 17;11:24165. doi: 10.1038/s41598-021-03655-4

Placental acute inflammation infiltrates and pregnancy outcomes: a retrospective cohort study

Maria Orsaria 1,#, Stefania Liviero 2,#, Emma Rossetti 3, Carla Pittini 4, Lorenza Driul 2, Ambrogio P Londero 2,5,, Laura Mariuzzi 1
PMCID: PMC8683439  PMID: 34921193

Abstract

Chorioamnionitis can be either an infection or a sterile inflammation. This study aims to analyze the prevalence of acute inflammatory lesions of the placenta, the association with a positive result of the microbiological examination, and the fetal-maternal outcomes. This retrospective study considered all single, consecutive pregnancies and their placental pathological examination during 2014–2017. The evidence of funisitis, chorionic vasculitis, and chorioamnionitis was assessed by a pathologist, including stage and grade. Moreover, maternal fever, placental microbiological examination, and neonatal outcomes were also recorded. Among the 5910 pregnancies in the considered period, 1770 had a placental pathological examination, and 358 (6.06%) had acute placental inflammation. Microbiological examination was performed in 125 cases, revealing 64 cases with a positive microbiological outcome. In the presence of acute placental inflammation, there was a higher rate of neonatal cardiopulmonary resuscitation, admission to neonatal intensive care unit, and postnatal death of the newborn. Multivariate analysis inferred that acute inflammation of membranes was a risk factor for neonatal cardiopulmonary resuscitation (OR 2.12; CI.95 1.36–3.31; p < 0.05), acute funisitis was a risk factor for admission to intensive neonatal care unit (OR 3.2; CI.95 1.67–6.12; p < 0.05), and chorionic vasculitis was a risk factor for postnatal death of the newborn (OR 5.38; CI.95 1.37–21.06; p < 0.05). The prevalence of chorioamnionitis was 6.06%, and about half of the cases were sterile inflammation. Chorioamnionitis was associated with higher rates of adverse fetal and neonatal outcomes; in particular, chorionic vasculitis was a risk factor for postnatal death.

Subject terms: Predictive markers, Prognostic markers, Medical research

Introduction

The term chorioamnionitis refers to the acute sterile inflammation or the infection of placental membranes, chorionic plate, umbilical cord, fetus, or amniotic fluid1. Clinical chorioamnionitis is traditionally characterized by maternal and fetal tachycardia, maternal fever and leukocytosis, purulent or malodorous amniotic fluid, and uterine tenderness. Meanwhile, histologic chorioamnionitis is often subclinical and detected only after histopathologic examination. In histologic chorioamnionitis, the microscopic exam reveals acute inflammatory lesions of the placenta characterized by the infiltration of neutrophils into the chorionic plate, placental membranes, or umbilical cord24. In most cases, the inflammation results from ascending bacterial infection from the lower genital tract, which is demonstrated through the microbiological examination of the fetal adnexa4. However, a "Sterile intraamniotic inflammation" can occur in the absence of demonstrable microorganisms5,6. The frequency of chorioamnionitis varies according to diagnostic criteria, specific risk factors, and gestational age7,8. It is generally diagnosed in 1–10% of pregnancies, but preterm pregnancies show higher frequencies3,7. Chorioamnionitis is associated with significant adverse maternal-neonatal outcomes. Maternal consequences include postpartum infection, sepsis, and multiorgan damage. On the neonatal side, it can lead to preterm birth, stillbirth, sepsis, neonatal death, chronic pulmonary disease, cerebral palsy, and neurodevelopmental impairment4,9. A better understanding of the epidemiology and the mechanisms that determine this fearsome pathology is likely to impact significantly maternal and infant health. Thus, this study aims to determine the prevalence of acute placental inflammation, its association with microbiological positivity, and maternal–fetal outcomes.

Methods

This retrospective chart review study considered all single, consecutive pregnancies delivered during the 2014–2017 period in our Academic Hospital (tertiary referral center). After 22 weeks and 6 days of gestation, all pregnancies whose placenta was submitted to pathological examination for maternal, placental, or fetal indications were included in the study. Multiple gestations were excluded.

Clinical data were gathered from pregnancy files, and the following data were considered: maternal age, nulliparity, spontaneous conception vs. assisted conception treatments (intrauterine insemination (IUI), in vitro fertilization/intracytoplasmic sperm injection (IVF/ICSI)), gestational age at delivery, ethnicity, hospitalization during pregnancy, pregnancy-related hypertensive disorders (PRHDs), mode of onset of labor, mode of delivery, and maternal fever. The following neonatal data were appraised: Apgar score at the first and fifth minute, neonatal weight at delivery, neonatal weight MoM, placental weight, small for gestational age (SGA), large for gestational age (LGA), intrauterine growth restriction (IUGR), neonatal cardiopulmonary resuscitation, neonatal intensive care unit (NICU) admission, neonatal outcome (alive, stillbirth, postnatal death).

Gestational age was determined by withholding the last known menstrual period from the date of birth of infants, was confirmed by ultrasound examination during the first and second trimester, and was expressed in weeks. Preterm delivery was set as birth before 36 weeks and 6 days of gestation. As previously described, ethnicity was considered stratifying the population by macro-regions and cultural backgrounds: Italy and Western Europe; Eastern Europe; Sub-Saharan Africa; Arabian Countries that included North Africa, Southwest and South Asia (excluded Nepal, Bangladesh, and Bhutan); Asia (that included Nepal, Bangladesh, Bhutan, North, Central, East, and Southeast Asia); other countries (America and Oceania)10,11. Hypertension was designated as high systolic blood pressure (≥ 140 mmHg) or high diastolic blood pressure (≥ of 90 mmHg)12. The following items were grouped as PRHDs: eclampsia, pre-eclampsia, pre-eclampsia superimposed on chronic hypertension, and gestational hypertension10,13. As previously defined, labor could be spontaneous, induced, or absent, and delivery could be spontaneous, operative vaginal delivery, or by cesarean section10. Maternal fever was defined as a temperature > 38 °C (100.4°F)1. IUGR was fixed as the sonographic finding of fetal weight below the tenth percentile of expected weight for gestational age (using Hadlock formula) associated with an increased PI in the umbilical arteries (greater than two standard deviations) or an estimated fetal weight below the third percentile14. In this study, SGA and LGA were defined as neonatal weight under the 10th and over the 90th percentiles for gestational age, respectively14. Neonatal death that occurs at less than 28 days of age was defined as perinatal death10,15.

Placental examination

According to the internal protocol, which expands the criteria given by the College of American Pathologists, the indications for pathologic examination were: a maternal history of previous miscarriages or intrauterine fetal demise (IUFD); maternal pathologies (e.g., hypertension, diabetes mellitus, drug abuse), preterm deliveries, fetal pathologies in the current pregnancy (e.g., IUGR, oligohydramnios, polyhydramnios, hydrops or fetal malformations), gross placental abnormalities, fetal distress during labor, need of neonatal cardiopulmonary resuscitation, maternal fever in labor or suspected chorioamnionitis16.

Placental tissue was sampled according to the criteria proposed by Amsterdam Placental Workshop Group Consensus Statement17. Routine histologic sampling included five blocks at least: one block to represent a roll of the extraplacental membranes which are taken from the rupture edge to the placental margin; one block to include three cross-sections of the umbilical cord (one from the fetal end-portion, one from the intermediate portion and one at approximately 3 cm from the placental insertion); three blocks each containing a full-thickness section of normal-appearing placental parenchyma (Fig. 1A–C). All samples were stained with standard hematoxylin and eosin (Fig. 1C).

Figure 1.

Figure 1

(A–C) show gross and microscopic figures from placenta (acronyms: UC  umbilical cord, CP  chorionic plate, CV  chorionic villi, BP  basal plate [maternal side of the placenta]). (A) Illustrates the whole placenta with membranes and umbilical cord. (B) Gross figure that is taken from through placenta section. (C) Whole placenta thickness microscopic figure. (D) Prevalence of positive swabs in cases of acute inflammation of the placenta. (E) Isolated elements (all positive samples).

The diagnosis of acute placental inflammation was based on pathologic criteria. Assessed acute inflammatory lesions of the placenta are defined as follows2. Acute funisitis is characterized by infiltration of neutrophils of fetal origin in the umbilical vessel wall (Supplemental Fig. 1), chorioamnionitis is characterized by infiltration of neutrophils of maternal origin in the placental membranes (Supplemental Fig. 2). Chorionic vasculitis is characterized by infiltration of neutrophils of fetal origin in the wall of chorionic vessels (chorionic plate) (Supplemental Fig. 3). The classification system currently in use is that reported by Redline in 200318.

Microbiological data

Microbiological examinations were performed according to the doctors on duty indications (obstetrician or neonatologist) and always in case of maternal fever, suspected chorioamnionitis, hydrops, or prematurity. If the microbiological examination was requested, samples from the placental disc, membranes, and umbilical cord were cultured. Placentas were sampled in the delivery room, and samples were kept in the appropriate media19,20. The hospital’s microbiology laboratory processed all cultures according to standardized protocols using appropriate media for aerobic, anaerobic bacteria, and yeasts19,20. Gram staining was performed for all samples. Plates were incubated in dedicated thermostats at 37 °C for 48–72 h. The medium for the anaerobic culture was incubated in a specifically dedicated hood with a controlled atmosphere. Bacterial isolates were identified using Matrix-assisted laser desorption-ionization time-of-flight (MALDI-TOF) instrumentation19,20. Chlamydia trachomatis was assessed by conventional molecular assay or multiplex polymerase chain reaction kits21,22.

Clinical management

In our setting, vaginal swabs are usually performed during pregnancy in women with risk factors for preterm labor and delivery. According to the result of the swab, antibiotic therapy can be administered. Premature rupture of membranes and preterm premature rupture of membranes are managed according to international guidelines, and Azithromycin is widely used in premature rupture of membranes and in case of vaginal swab positivity. According to the internal protocol and international guidelines, if an intra-amniotic infection is suspected, the administration of broad-spectrum parenteral antibiotics with coverage for common pathogens is initiated23,24. All the included cases were treated according the internal protocols.

Statistical analysis

All statistical analysis, considering p-value < 0.05 (two-tailed) as statistically significant, were performed with R software (version 3.6.3; R Core Team (2020). R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. URL https://www.R-project.org/). Continuous variables are presented as the median and interquartile range (IQR) or mean and standard deviation. Dichotomic variables were expressed as frequencies in percentage and absolute values, except those with missing values (NA). Logistic regression results were exhibited as odds ratio (OR) and relative 95% confidence interval (CI.95). Kolmogorov–Smirnov was used to test whether the distribution was parametric or not. The following statistical tests were employed as appropriate: t-test for parametric variables, Wilcoxon test for continuous nonparametric variables, chi-square test, or Fisher exact test. Logistic regression analysis was performed, considering neonatal outcomes as dependent variables and possible risk factors as independent variables. The multivariate model took into account all possible predictive factors with p < 0.05 in univariate analysis (all variables are listed in the multivariate models in Table 4A,B). All variables and their interaction terms were included in the initial multivariate model. When interactions turned out to be nonsignificant, analysis without interaction model was used. Moreover, the false discovery rate test was used to adjust the p-values of the multivariate analysis. Due to the limited number of events in neonatal death, all significant factors were corrected only for gestational age at delivery.

Table 4.

Univariate and multivariate logistic regression analysis.

(A) OR (CI.95) p OR (CI.95) (†) p (†) p-adj (‡)
Maternal age(years) 1 (0.97–1.02) 0.792
Nulliparous 1.45 (1.1–1.91)  < 0.05 1.67 (1.21–2.33)  < 0.05  < 0.05
Origin: Sub-Saharan Africa and others category 1.79 (1.14–2.81)  < 0.05 1.44 (0.83–2.49) 0.190 0.285
Induced labor/augmentation 0.45 (0.34–0.62)  < 0.05 0.92 (0.64–1.32) 0.650 0.730
Cesarean section 2.41 (1.83–3.17)  < 0.05 1.93 (1.39–2.66)  < 0.05  < 0.05
PRHD 0.45 (0.29–0.68)  < 0.05 0.99 (0.59–1.68) 0.980 0.978
Male newborn 1.08 (0.83–1.41) 0.546
Weight at birth (MoM) 0.74 (0.32–1.74) 0.496
Mode of conception
Spontaneous Reference
Induction ovulation/IUI 0.88 (0.2–3.93) 0.867
IVF/ICSI 1.49 (0.8–2.78) 0.213
IUGR 1.47 (0.92–2.34) 0.110
Gestational age at delivery (weeks) 0.76 (0.73–0.79)  < 0.05 0.77 (0.74–0.81)  < 0.05  < 0.05
Acute funisitis 3 (2.11–4.26)  < 0.05 1.62 (0.95–2.77) 0.070 0.135
Chorionic vasculitis 2.21 (1.15–4.26)  < 0.05 0.73 (0.3–1.76) 0.480 0.623
Acute inflammation of membranes 2.81 (2.1–3.75)  < 0.05 2.12 (1.36–3.31)  < 0.05  < 0.05
(B) OR (CI.95) p OR (CI.95) (†) p (†) p-adj (‡)
Maternal age (years) 0.98 (0.96–1.01) 0.146
Nulliparous 1.26 (0.99–1.6) 0.061
Origin: Sub-Saharan Africa and others category 1.27 (0.82–1.97) 0.281
Induced labor/augmentation 0.3 (0.23–0.4)  < 0.05 0.75 (0.52–1.09) 0.140 0.189
Cesarean section 2.25 (1.78–2.85)  < 0.05 1.43 (1.03–1.98)  < 0.05 0.053
PRHD 0.31 (0.21–0.46)  < 0.05 0.93 (0.53–1.62) 0.780 0.916
Male newborn 0.91 (0.73–1.15) 0.435
Weight at birth (MoM) 0.73 (0.35–1.54) 0.411
Mode of conception
Spontaneous Reference
Ovulation induction /IUI 1.39 (0.44–4.4) 0.573
IVF/ICSI 1.53 (0.88–2.68) 0.136
IUGR 2.01 (1.35–3)  < 0.05 2.46 (1.46–4.16)  < 0.05  < 0.05
Gestational age at delivery (weeks) 0.58 (0.55–0.62)  < 0.05 0.59 (0.55–0.63)  < 0.05  < 0.05
Acute funisitis 2.27 (1.63–3.17)  < 0.05 3.2 (1.67–6.12)  < 0.05  < 0.05
Chorionic vasculitis 1.3 (0.67–2.52) 0.446
Acute inflammation of membranes 1.76 (1.34–2.31)  < 0.05 1.02 (0.6–1.72) 0.950 0.950
(C) OR (CI.95) p OR (CI.95) (†) p (†) p-adj (‡)
Gestational age at delivery (weeks) 0.74 (0.68–0.81)  < 0.05 0.76 (0.70–0.84) (*)  < 0.05
All acute inflammations 4.51 (1.82–11.17)  < 0.05 2.57 (0.88–7.54) (**) 0.086
Acute funisitis 5.44 (2.11–14)  < 0.05 2.81 (0.94–8.4) (**) 0.065
Chorionic vasculitis 10.49 (3.34–32.91)  < 0.05 5.38 (1.37–21.06) (**)  < 0.05
Acute inflammation of membranes 4.91 (1.98–12.18)  < 0.05 2.73 (0.93–8.06) (**) 0.070

(A) Risk factor for neonatal cardiopulmonary resuscitation. (B) Risk factors for NICU hospitalization. (C) Risk factors for post-natal death. The data are reported as odds ratio (OR) and the relative 95% confidence interval (CI.95). This table shows univariate logistic regression analysis and multivariate logistic regression analysis (†). Furthermore, the multivariate logistic regression analysis p-values are adjusted using the false discovery rate test (‡).

(*) Corrected for all acute inflammations; (**) Corrected for gestational age at birth.

Ethics approval and consent to participate

The present study was approved by the internal review board of the Department of Medical Area (University of Udine), it was conducted in accordance with Helsinki Declaration and it followed the dictates of the general authorization to process personal data for scientific research purposes by the Italian Data Protection Authority. The need for an informed consent, according with national legislation, was waived by the IRB listed above because this was a retrospective cohort study.

Results

Population description

Among the 5910 singleton deliveries in the studied period, the pathological examination was available in 1770 cases. Table 1 reports the characteristics of the population submitted to pathological examination. The mean maternal age at delivery was 33 years (IQR 29–37), and 11.36% of women were > 40 years old. Only 3.39% (60/1770) of these patients exhibited fever (Table 1).

Table 1.

Clinical, microbiological and histopathologic characteristics.

Maternal age (years) 33 (29–37)
Maternal age > 40 years 11.36% (201/1770)
Nulliparous 60.4% (1069/1770)
Mode of conception
 Spontaneous 95.59% (1692/1770)
 Ovulation induction /IUI 0.85% (15/1770)
 IVF/ICSI 3.56% (63/1770)
 Gestational age at delivery (weeks) 38 (37–40)
 Delivery < 32 weeks 7.51% (133/1770)
 Delivery < 34 weeks 12.66% (224/1770)
 Delivery < 37 weeks 24.63% (436/1770)
Macro-regions of origin
Italy 71.02% (1257/1770)
East Europa 14.12% (250/1770)
Sub-Saharan Africa 6.27% (111/1770)
Arabian countries 3.05% (54/1770)
Asia 3.62% (64/1770)
Others 1.92% (34/1770)
Mode of labor
Spontaneous 35.5% (628/1769)
Induced 37.54% (664/1769)
Without labor 26.96% (477/1769)
Mode of delivery
Operative vaginal delivery 9.27% (164/1770)
Spontaneous 43.33% (767/1770)
Caesarean section 47.4% (839/1770)
Maternal fever 3.39% (60/1770)
Placental plate microbiology (positive/performed) 27% (98/363)
Placental membranes microbiology (positive/performed) 33.06% (120/363)
Placental cord microbiology (positive/performed) 35.08% (127/362)
Anatomopathological features
Funisitis 10.06% (178/1770)
Chorionic vasculitis (fetal response) 2.71% (48/1770)
Stage of funisitis
Stage 1 63.69% (100/157)
Stage 2 32.48% (51/157)
Stage 3 3.82% (6/157)
Grade of funisitis
Grade 1 85.91% (128/149)
Grade 2 14.09% (21/149)
Acute inflammation of membranes 18.93% (335/1770)
Chorioamnionitis localization
Decidua and chorion 58.51% (196/335)
Amnion and other localizations 41.49% (139/335)
Stage of chorioamnionitis
Stage 1 71.04% (238/335)
Stage 2 24.78% (83/335)
Stage 3 4.18% (14/335)
Grade of chorioamnionitis
Grade 1 75.97% (177/233)
Grade 2 24.03% (56/233)
Funisitis/chorioamnionitis/chorionic vasculitisa 20.23% (358/1770)

aConsidering the total of 5910 pregnancies the prevalence was 6.06% (CI.95 5.48–6.69%).

Prevalence of acute placental inflammation

Table 1 reports the data concerning histological inflammation. In 178 cases, acute funisitis was diagnosed, which in the population of 5910 pregnancies resulted in 3.01% prevalence (95% CI 2.61–3.48%). Chorionic vasculitis was present in 48 cases with a prevalence of 0.81% (95% CI 0.61–1.08%), and acute inflammation of membranes was present in 335 cases with a prevalence of 5.67% (95% CI 5.11–6.29%). Considering all the 5910 pregnancies, the prevalence of all acute placental inflammations was 6.06% (95% CI 5.48–6.69%). If we consider as denominator only the subgroup of patients in whom histopathological exam was conducted, the prevalence was higher (20.23% 95% CI 18.42–22.16%, 358/1770) (Table 1). Supplemental Tables 1, 2, and 3 show the characteristics of the population according to the presence or absence of funisitis, chorioamnionitis, and chorionic vasculitis. Fever was more prevalent in patients with acute funisitis (15.17% vs. 2.07% in the absence of funisitis), membrane inflammation (8.66% vs. 2.16% in the absence of inflammation), and chorionic vasculitis (16.67% vs. 3.02% in the absence of chorionic vasculitis) than others (Table 2). Acute funisitis was associated with placental membrane inflammation in 89.33% of events and with chorionic vasculitis in 12.36% of events (Table 2). Furthermore, acute funisitis was associated with severe chorioamnionitis (high stage and grade, Table 2). Besides, both stage and degree of inflammation of membranes were higher in the presence than in the absence of chorionic vasculitis (Table 2).

Table 2.

Clinical, microbiological and histopathologic characteristics divided by the presence or absence of: (A) funisitis, (B) chorioamnionitis, (C) chorionic vasculitis.

(A) Funisitis absent (1592) Funisitis present (178) p
Maternal fever 2.07% (33/1592) 15.17% (27/178)  < 0.05
Placental plate microbiology (positive/performed) 23.02% (67/291) 43.06% (31/72)  < 0.05
Placental membranes microbiology (positive/performed) 28.97% (84/290) 49.32% (36/73)  < 0.05
Placental cord microbiology (positive/performed) 31.38% (91/290) 50.00% (36/72)  < 0.05
Anatomopathological features
Chorionic vasculitis 1.63% (26/1592) 12.36% (22/178)  < 0.05
Chorioamnionitis 11.06% (176/1592) 89.33% (159/178)  < 0.05
Chorioamnionitis localization
Capsular decidua and chorion 77.27% (136/176) 37.74% (60/159)  < 0.05
Amnion and other locations 22.73% (40/176) 62.26% (99/159)  < 0.05
Chorioamnionitis stage and grade
Stage 1 84.66% (149/176) 55.97% (89/159)  < 0.05
Stage 2 14.20% (25/176) 36.48% (58/159)  < 0.05
Stage 3 1.14% (2/176) 7.55% (12/159)  < 0.05
Grade 1 88.50% (100/113) 64.17% (77/120)  < 0.05
Grade 2 11.50% (13/113) 35.83% (43/120)  < 0.05
(B) Chorioamnionitis absent (1435) Chorioamnionitis present (335) p
Maternal fever 2.16% (31/1435) 8.66% (29/335)  < 0.05
Placental plate microbiology (positive/performed) 20.97% (52/248) 40.00% (46/115)  < 0.05
Placental membranes microbiology (positive/performed) 28.23% (70/248) 43.48% (50/115)  < 0.05
Placental cord microbiology (positive/performed) 30.36% (75/247) 45.22% (52/115)  < 0.05
Anatomopathological features
Funisitis 1.32% (19/1435) 47.46% (159/335)  < 0.05
Chorionic vasculitis (fetal response) 0.35% (5/1435) 12.84% (43/335)  < 0.05
Funisitis stage and grade
Stage 1 64.29% (9/14) 63.64% (91/143) 0.962
Stage 2 35.71% (5/14) 32.17% (46/143) 0.787
Stage 3 0.00% (0/14) 4.20% (6/143) 0.435
Grade 1 100.00% (13/13) 84.56% (115/136) 0.126
Grade 2 0.00% (0/13) 15.44% (21/136) 0.126
(C) Chorionic vasculitis absent (1722) Chorionic vasculitis present (48) p
Maternal fever 3.02% (52/1722) 16.67% (8/48)  < 0.05
Placental plate microbiology (positive/performed) 25.95% (89/343) 45.00% (9/20) 0.062
Placental membranes microbiology (positive/performed) 31.78% (109/343) 55.00% (11/20)  < 0.05
Placental cord microbiology (positive/performed) 34.50% (118/342) 45.00% (9/20) 0.339
Anatomopathological features
Funisitis 9.06% (156/1722) 45.83% (22/48)  < 0.05
Chorioamnionitis 16.96% (292/1722) 89.58% (43/48)  < 0.05
Chorioamnionitis localization
Decidua and chorion 59.59% (174/292) 51.16% (22/43) 0.295
Amnion and other localizations 40.41% (118/292) 48.84% (21/43) 0.295
Chorioamnionitis stage and grade
Stage 1 73.63% (215/292) 53.49% (23/43)  < 0.05
Stage 2 23.63% (69/292) 32.56% (14/43) 0.205
Stage 3 2.74% (8/292) 13.95% (6/43)  < 0.05
Grade 1 78.46% (153/195) 63.16% (24/38)  < 0.05
Grade 2 21.54% (42/195) 36.84% (14/38)  < 0.05

Association between acute placental inflammation and microbiological positivity

The microbiological examination was done in 363 cases (20.51%) for both placental disc and membranes and in 362 cases (20.45%) for the umbilical cord. The microbiological examination was positive in 27.00% of cases for the placental disc, 33.06% for membranes, and in 35.08% for the umbilical cord (Table 1). Among the 358 cases of acute placental inflammation on histological examination, a microbiological examination was conducted in 125 cases, and it resulted positive in 64 cases. More specifically, the placental disc swab was positive in 39.02% (48/123) of the cases (95% CI 30.86–47.85%), the membrane swab was found positive in 43.55% (54/124) of the cases (95% CI 35.15–52.34%), and the umbilical cord swab was positive in 44.72% (55/123) of the cases (95% CI 36.22–53.53%) (Fig. 1D). In total, 15 pathogenic microbial genera were identified, including the genus Candida and 14 genera of bacteria. In 50 cases, the infections were monomicrobial and polymicrobial in 14 cases. In Fig. 1E, the prevalence of pathogenic genera is shown considering all the samples. Escherichia was the most common genus, with a prevalence of 39.06% of the total samples (all were Escherichia coli). The second in frequency was the genus Streptococcus, with a total frequency of 31.25%; in particular, among the different species, the Streptococcus agalactiae (group B streptococcus or GBS) was predominant, with a frequency of 17%. The microbiological examination was positive in 31.38% of cases without acute funisitis and in 17.28% of cases without chorioamnionitis.

Acute placental inflammation and maternal–fetal outcomes

Table 3 shows pregnancy outcomes according to the presence or absence of funisitis, chorioamnionitis, and chorionic vasculitis. In the presence of acute inflammation of placental tissues, there was a greater need for neonatal cardiopulmonary resuscitation, admission to neonatal intensive care unit, and postnatal death of the newborn. Table 4 displays bivariate and multivariate analysis results conducted by logistic regression of the following outcomes, considered dependent variables: neonatal cardiopulmonary resuscitation, neonatal intensive care unit admission, and postnatal death of the newborn. Acute inflammation of membranes was an independent risk factor for neonatal cardiopulmonary resuscitation (OR 2.12; CI.95 1.36–3.31); furthermore, high grading was at increased risk of neonatal cardiopulmonary resuscitation (grade 2 vs. grade 1 OR 4.96; CI.95 2.59–9.53; p < 0.05). Acute funisitis was an independent risk factor for admission to intensive neonatal care unit (OR 3.2; CI.95 1.67–6.12), besides high grading was at increased risk of intensive neonatal care unit hospitalization (grade 2 vs. grade 1 OR 2.88; CI.95 1.07–7.75; p < 0.05). Chorionic vasculitis was an independent risk factor for postnatal death of the newborn, after controlling for gestational age at birth (OR 5.38; CI.95 1.37–21.06); moreover, high grading was at increased risk of postnatal death of the newborn (grade 2 vs. grade 1 OR 11.62; CI.95 1.8–74.93; p < 0.05).

Table 3.

Pregnancy outcome divided by the presence or absence of: (A) funisitis, (B) chorioamnionitis, (C) chorionic vasculitis.

(A) Funisitis absent (1592) Funisitis present (178) p
Male newborn 52.76% (840/1592) 50.56% (90/178) 0.577
1 min Apgar 8.00 (7.00–9.00) 7.00 (5.00–9.00)  < 0.05
5 min Apgar 9.00 (8.00–9.00) 8.00 (7.00–9.00)  < 0.05
Neonatal weight (g) 2940.89 (± 770.57) 2792.73 (± 1057.91) 0.071
Neonatal weight (MoM) 0.98 (± 0.15) 1.01 (± 0.15)  < 0.05
Placental weight (g) 523.95 (± 159.03) 526.49 (± 178.19) 0.888
SGA < 3rd percentile 5.60% (89/1589) 1.69% (3/178)  < 0.05
SGA < 10th percentile 16.87% (268/1589) 12.92% (23/178) 0.178
LGA > 90th percentile 10.64% (169/1589) 12.92% (23/178) 0.353
LGA > 97th percentile 4.91% (78/1589) 6.74% (12/178) 0.292
IUGR 7.29% (116/1591) 2.25% (4/178)  < 0.05
Neonatal cardiopulmonary resuscitation 13.20% (210/1591) 31.46% (56/178)  < 0.05
NICU admission 19.41% (309/1592) 35.39% (63/178)  < 0.05
Neonatal outcome
Alive 98.55% (1566/1589) 94.92% (168/177)  < 0.05
Stillbirth 0.69% (11/1589) 1.13% (2/177) 0.518
Postnatal death 0.76% (12/1589) 3.95% (7/177)  < 0.05
(B) Chorioamnionitis absent (1435) Chorioamnionitis present (335) p
Male newborn 52.06% (747/1435) 54.63% (183/335) 0.396
1 min Apgar 8.00 (7.00–9.00) 8.00 (6.00–9.00)  < 0.05
5 min Apgar 9.00 (8.00–9.00) 9.00 (8.00–9.00)  < 0.05
Neonatal weight (g) 2949.45 (± 741.84) 2825.50 (± 1027.99)  < 0.05
Neonatal weight (MoM) 0.98 (± 0.15) 1.00 (± 0.16)  < 0.05
Placental weight (g) 529.48 (± 157.44) 500.58 (± 175.41)  < 0.05
SGA < 3rd percentile 5.38% (77/1432) 4.48% (15/335) 0.505
SGA < 10th percentile 16.55% (237/1432) 16.12% (54/335) 0.848
LGA > 90th percentile 10.13% (145/1432) 14.03% (47/335)  < 0.05
LGA > 97th percentile 4.61% (66/1432) 7.16% (24/335) 0.055
IUGR 6.97% (100/1434) 5.97% (20/335) 0.511
Neonatal cardiopulmonary resuscitation 12.06% (173/1434) 27.76% (93/335)  < 0.05
NICU admission 19.09% (274/1435) 29.25% (98/335)  < 0.05
Neonatal outcome
Alive 98.74% (1414/1432) 95.81% (320/334)  < 0.05
Stillbirth 0.63% (9/1432) 1.20% (4/334) 0.273
Postnatal death 0.63% (9/1432) 2.99% (10/334)  < 0.05
(C) Chorionic vasculitis absent(1722) Chorionic vasculitis present (48) p
Male newborn 52.67% (907/1722) 47.92% (23/48) 0.515
1 min Apgar 8.00 (7.00–9.00) 7.50 (5.00–8.00)  < 0.05
5 min Apgar 9.00 (8.00–9.00) 9.00 (8.00–9.00) 0.064
Neonatal weight (g) 2928.65 (± 794.87) 2830.73 (± 1115.75) 0.549
Neonatal weight (MoM) 0.98 (± 0.15) 1.03 (± 0.15)  < 0.05
Placental weight (g) 525.41 (± 159.85) 483.32 (± 200.26) 0.280
SGA < 3rd percentile 5.35% (92/1719) 0.00% (0/48) 0.100
SGA < 10thpercentile 16.70% (287/1719) 8.33% (4/48) 0.123
LGA > 90th percentile 10.59% (182/1719) 20.83% (10/48)  < 0.05
LGA > 97th percentile 4.89% (84/1719) 12.50% (6/48)  < 0.05
IUGR 6.97% (120/1721) 0.00% (0/48) 0.058
Neonatal cardiopulmonary resuscitation 14.70% (253/1721) 27.08% (13/48)  < 0.05
NICU admission 20.91% (360/1722) 25.00% (12/48) 0.492
Neonatal outcome
Alive 98.43% (1691/1718) 89.58% (43/48)  < 0.05
Stillbirth 0.70% (12/1718) 2.08% (1/48) 0.268
Postnatal death 0.87% (15/1718) 8.33% (4/48)  < 0.05

Discussion

The prevalence of acute placental inflammation was 6.06% considering all singleton deliveries in the study time frame and 20.23% considering only examined placentas. Microbiological analyses were negative in about half of examined placentas. Our multivariate analysis confirmed the association between inflammation and adverse neonatal outcome. Controlling for multiple confounders, acute inflammation of membranes was an independent risk factor for neonatal cardiopulmonary resuscitation (OR 2.12; CI.95 1.36–3.31; p < 0.05), acute funisitis was an independent risk factor for admission to intensive neonatal care unit (OR 3.2; CI.95 1.67–6.12; p < 0.05), and chorionic vasculitis was an independent risk factor for postnatal death of the newborn (OR 5.38; CI.95 1.37–21.06; p < 0.05).

The main limitation of this study is its retrospective design, which could have led to information bias. Sampling placental tissues for microbiological cultures differs from many studies in literature, which used amniotic fluid cultures, limiting the possibility of directly comparing these results with the literature data. This approach, though, gave us the possibility to analyze a vast amount of data retrospectively. Our research’s strong points are the relatively large sample size and the homogeneous assessment of the samples, which was ensured through a strict clinical protocol. Moreover, through multivariate statistical analysis, we were able to control the effect of multiple confounding factors.

The prevalence rate of acute placental inflammation was 20% similar to the findings of other authors 26–27%25,26. However, this study’s prevalence is lower probably because we considered all placentas and not just those sent for clinically suspected chorioamnionitis. Meanwhile, the prevalence of acute inflammation histopathological finding overall is lower and accounts for 6.06% of all singleton deliveries. This result differs only slightly from the estimates of Woodd et al., who reported an incidence of 3.9%, and from the estimates of Russel et al., who examined 7505 placentas from singleton deliveries after 20 weeks of gestation and reported chorioamnionitis in 5.2% of all cases2,27,28. Among the 125 cases of acute placental inflammation that underwent microbiological examination, 51.2% resulted positive. This percentage appears relatively high in respect to the previous literature but must be considered in the context of our retrospective setting: in fact, the placental samples were sent for microbiological examination only in case of suspected infection, unlike to prospective studies25. Acute placental inflammations have negative microbiological results in about half of cases; these cases’ etiology is yet to be clarified. First of all, acute chorioamnionitis can occur as a sterile intraamniotic inflammation induced by signals released under cellular stress, injury, or death. Secondly, the use of antibiotic therapies may affect the viability of bacteria with consequent negative microbiological results. Lastly, atypical pathogens such as Mycoplasma or Ureaplasma spp. do not grow if not in particular culture media2,25,2931. Conventional cultivation techniques cannot identify the entire microbial diversity of an ecological niche because the conditions required for the growth of microorganisms in vitro are unknown, and some organisms are, therefore, considered non-culturable32,33. A possible role of these microorganisms present below the level of detection of culture and 16S PCR, and that can be highlighted only through deep DNA and RNA sequencing, remains to be addressed. Conversely, the cases of positive bacteriology with negative histologic analysis (31.38% for the umbilical cord and 28.23% for membranes examination) could be explained by sample contamination, tissue contiguity, or an early stage of infection where pathogens have not yet caused visible lesions25.

We found that Escherichia and Streptococcus were the most common genera; in particular, group B streptococcus was predominant among the different Streptococcus species. This finding is consistent with some studies in literature but in contrast with others. Bhola et al. and Sperling et al. reported Group B Streptococcus and Escherichia Coli as the most frequently identified bacteria. Conversely, Romero et al. found that Ureaplasma spp. and Gardnerella vaginalis are the most commonly identified microorganisms by cultivation and PCR/ESI–MS, respectively. According to other studies, Ureaplasma spp. and Mycoplasma spp. are the most common microorganisms. In our reality, the use of prophylaxis or therapy with Azithromycin may have affected these bacteria’s viability with consequent negative microbiological results4,26,30,3437.

The significant prevalence of fever in patients with acute placental inflammation in our sample is also widely reported in the literature, and this symptom is the cornerstone in the clinical diagnosis of chorioamnionitis3,4,8. Vice versa, isolated maternal fever is not necessarily the index of chorioamnionitis, and indeed it can lead to wrong diagnoses and subsequent overtreatment, which become particularly relevant in preterm gestations1.

In our study, fetal responses, represented by funisitis and chorionic vasculitis, relate with a higher stage and degree of membrane inflammation on the maternal counterpart. This is widely reported in literature38,39. Other published data demonstrate the association between chorionic vasculitis and stillbirth, as we also found, despite the lack of statistical significance. However, the link with postnatal mortality that we found is little present in literature40. Lau et al. reported that neonatal mortality was more significant when fetal inflammation was present (chorionic funisitis and vasculitis considered together) compared to maternal inflammation alone, with a postnatal death prevalence of 9.2% in cases with fetal inflammation, vs. 7.2% in cases with maternal inflammation (vs. 3.6% in the absence of acute placental inflammation)39. In our study, correcting for the gestational age, only the chorionic plate’s vasculitis was a risk factor for neonatal death. This finding could be related to the ascending pathway of infection so that the placenta’s histologic inflammation would be the last step of the progressing pathogenic noxa. The etiopathogenesis that links placental vasculitis with postnatal mortality is not clear yet. Some authors hypothesized that an increasing duration or severity of placental histopathology compatible with fetal inflammatory response syndrome (FIRS) could have a dose-dependent relationship with death in preterm infants38. FIRS is a condition characterized by systemic activation of the fetal innate immune system41. In other terms it is the fetal counterpart of systemic inflammatory response syndrome41. FIRS can lead to multiple organ dysfunction, including adrenal glands, heart, brain, lungs, and skin, and it correlates with higher neonatal morbidity, and mortality39,41,42. Initially, chorioamnionitis shows a maternal inflammatory response. In more severe cases, fetal microbial invasion can result in a FIRS, which originates from the placenta’s fetal vascular component, initially from the umbilical vein, then the umbilical arteries and vessels of the chorionic plate. As regard to neonatal outcomes, many studies focused on the acute inflammation of placental tissues, finding an association between chorioamnionitis and neonatal morbidity in terms of pneumonia, brain injury, or sepsis. Thus, chorioamnionitis leads to a greater need for neonatal cardiopulmonary resuscitation and admission to neonatal intensive care unit, in line with our results1,41,4346.

Our data advise that placental inflammation (whether associated with infectious or non-infectious origins) could lead to placental dysfunction47. This placental dysfunction can be the reason for the adverse outcomes associated with placental inflammation. Therefore, our data suggest two possible clinical research purposes. First, improving our etiological knowledge on placental inflammation of non-infectious origin. Hence understanding the etiology of non-infectious acute placental inflammation, which according to our results, occurs in half of the cases, appears to be the keystone on which future prospective studies in this field should focus. Second, therapeutic strategies that act at reducing placental inflammation, as previously suggested, could also improve the negative outcomes assessed in this study47.

Conclusions

Chorioamnionitis is a common and not minor complication of pregnancy with a prevalence in this study of 6.06%. It is associated with newborn adverse outcomes and postnatal death, regardless of whether it originates from infection or sterile inflammation. Chorionic vasculitis is independently associated with postnatal death. This finding, so far poorly explored, seems crucial and raises new questions on the possible role of an exaggerated and progressive fetal response, of which chorionic vasculitis could be the histological display, in determining the infant’s outcome.

Supplementary Information

Supplementary Figure S1. (673.2KB, jpg)
Supplementary Figure S2. (472.6KB, jpg)
Supplementary Figure S3. (497.4KB, jpg)
Supplementary Legends. (4.6KB, docx)
Supplementary Tables. (14.1KB, docx)

Acknowledgements

The authors would like to thank the whole staff collaborating in article collection, selection, reading and in paper writing and reviewing.

Abbreviations

CI

Confidence interval

CI.95

95% confidence interval

FIRS

Fetal inflammatory response syndrome

GBS

Group B streptococcus

ICSI

Intracytoplasmic sperm injection

IQR

Interquartile range

IUFD

Intrauterine fetal demise

IUGR

Intrauterine growth restriction

IUI

Intrauterine insemination

IVF

In vitro fertilization

LGA

Large for gestational age

MoM

Multiple of the median

NA

Missing values

NICU

Neonatal intensive care unit

OR

Odds ratio

PRHDs

Pregnancy-related hypertensive disorders

SGA

Small for gestational age

Author contributions

Substantial contributions to conception and design or acquisition of data or to analysis and interpretation of data (M.O., S.L., E.R., C.P., L.D., A.P.L., L.M.). Drafting the article or revising it critically for important intellectual content (M.O., S.L., E.R., C.P., L.D., A.P.L., L.M.). All authors have read and approved the final manuscript.

Funding

This study has no financial support.

Data availability

The data that support the findings of this study are available, but restrictions apply to the availability of these data, which was used under license for the current study, and so are not publicly available. Data are however available from the authors upon reasonable request and with permission of the Internal Review Board.

Competing interests

The authors declare no competing interests.

Footnotes

Publisher's note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

These authors contributed equally: Maria Orsaria and Stefania Liviero.

Supplementary Information

The online version contains supplementary material available at 10.1038/s41598-021-03655-4.

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Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

Supplementary Figure S1. (673.2KB, jpg)
Supplementary Figure S2. (472.6KB, jpg)
Supplementary Figure S3. (497.4KB, jpg)
Supplementary Legends. (4.6KB, docx)
Supplementary Tables. (14.1KB, docx)

Data Availability Statement

The data that support the findings of this study are available, but restrictions apply to the availability of these data, which was used under license for the current study, and so are not publicly available. Data are however available from the authors upon reasonable request and with permission of the Internal Review Board.


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