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Erschienen in: BMC Pregnancy and Childbirth 1/2019

Open Access 01.12.2019 | Research article

Maternal age and the risk of adverse pregnancy outcomes: a retrospective cohort study

verfasst von: Ambrogio P. Londero, Emma Rossetti, Carla Pittini, Angelo Cagnacci, Lorenza Driul

Erschienen in: BMC Pregnancy and Childbirth | Ausgabe 1/2019

Abstract

Background

The increased potential for negative pregnancy outcomes in both extremes of reproductive age is a well-debated argument. The aim of this study was to analyze the prevalence and the outcome of pregnancies conceived at extreme maternal ages.

Methods

This retrospective study considered all single consecutive pregnancies delivered in a tertiary referral center between 2001 and 2014. Patients were categorized into 4 groups according to maternal age at delivery (< 17 years; 18–28 years; 29–39 years; > 40 years). The following outcomes were considered (amongst others): pregnancy-related hypertensive disorders (PRHDs), neonatal resuscitation (NR), neonatal intensive care unit (NICU) admission, periventricular leucomalacia (PVL), and grade 3 and 4 intraventicular hemorrhage (IVH).

Results

During the considered period 22,933 single pregnancies gave birth in our unit. We observed 71 women aged < 17 years, and 1552 aged > 40 years. In each year throughout the study period, there was a significant increment in maternal age of 0.041 years (95% CI 0.024–0.058) every new year. Multivariate analysis concluded out that maternal age over 40 years was an independent risk factor for preterm delivery (OR 1.36 95% CI 1.16–1.61, p < 0.05, PRHDs (OR 2.36 95% CI 1.86–3.00, p < 0.05), GDM (OR 1.71 95% CI 1.37–2.12, p < 0.05) cesarean section (OR 1.99 95% CI 1.78–2.23, p < 0.05), abnormal fetal presentation (OR 1.29 95% CI 1.03–1.61, p < 0.05), and fetal PVL (OR 3.32 95% CI 1.17–9.44, p < 0.05). We also observed that maternal age under 17 years or over 40 years was an independent risk factor for grade 3 or 4 neonatal IVH (OR 2.97 95% CI 1.24–7.14, p < 0.05).

Conclusions

These findings confirm a negative impact of extreme maternal ages on pregnancy. These results should be carefully taken into account by maternal care providers in order to inform women adequately, supporting them in understanding potential risks associated with their procreation choices, and to improve clinical surveillance.
Hinweise

Electronic supplementary material

The online version of this article (https://​doi.​org/​10.​1186/​s12884-019-2400-x) contains supplementary material, which is available to authorized users.
Ambrogio P. Londero and Emma Rossetti contributed equally to this work.

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Abkürzungen
GDM
Gestational diabetes mellitus
ICSI
Intracytoplasmatic sperm injection
IUFD
Intrauterine fetal demise
IUGR
Intrauterine growth restriction
IUI
Intrauterine insemination
IVF
In vitro fertilization
IVH
Intraventricular hemorrhage
LGA
Large for gestational age
MoM
Multiple of median
NICU
Neonatal intensive care unit
NR
Neonatal resuscitation
PRHD
Pregnancy related hypertensive disorder
PVL
Periventricular leucomalacia
RDS
Respiratory distress syndrome
SGA
Small for gestational age

Background

Maternal age at childbearing has dramatically shifted in the last decades due to a broad range of social and cultural determinants. In Italy the mean age at delivery rose from 25.2 years in 1981 to 31.7 in 2015 [1, 2]. This trend toward delayed childbearing is reported worldwide (e.g. USA or China) [35], and comes, in parallel, with a decline in pregnancies at a younger age, so that these are increasingly rare in developing countries. The teen birth rate in the USA has fallen 61% from 1991 [5].
Both extremes of the reproductive age are considered at risk for adverse pregnancy outcomes. Teenage mothers have a higher risk of preterm birth, low birth weight, low Apgar score and postnatal mortality [6]. Whether this association is determined by a biological immaturity or rather by socio-economic disadvantages, behavioural factors or lack of access to high quality antenatal care is still a topic for much discussion. [79]. On the other hand delayed childbearing carries a higher risk of maternal and obstetric complications. The concern for the “elderly primigravida” was first published in 1950 [10]; since then many researchers investigated the effect of aging on birth outcome. The majority of studies report an association between advanced maternal age and preterm delivery, low birth weight, perinatal death, and cesarean section [1116]. There are some studies, however, that fail to demonstrate such unfavourable conclusions [4, 1719]. And an emerging third category even demonstrates positive outcomes, with an example being a recent retrospective study from China which found a lower risk of adverse fetal outcome for older mothers [4]. The impact of presumed social and economic advantages of older women outweighing biological vulnerability, advocated by some, still needs to be conclusively proven. It is however worth noting, that although infants born to mothers over 40 years of age are more frequently admitted to intensive neonatal care, these pregnancies tend to be associated with improved perinatal care outcomes over time [20, 21].
The aim of this study is to analyze prevalence and outcome of pregnancies conceived at extreme maternal ages (age equal or lower than 17 years old and equal or higher than 40 years old), and to verify the impact of maternal age on pregnancy outcomes.

Methods

This retrospective study considered 22,933 single consecutive pregnancies carried out in our Obstetrics and Gynecology Clinic in University Hospital Santa Maria della Misericordia (tertiary referral center). The present study was approved by the internal review board, 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. All women who delivered between January 2001 and December 2014 were eligible to be included in this study. Multiple pregnancies were excluded.
Maternal-fetal and neonatal data were gathered from clinical databases of our Obstetric and Neonatal facilities. Patients were categorized into 4 groups according to maternal age at delivery (< 17 years; 18–28 years; 29–39 years; > 40 years). Personal data assessed were: maternal age, parity, assisted reproduction techniques, provenance and education level (low schooling was considered below 8 years of study). Pregnancy and neonatal outcomes assessed were: gestational age at delivery, fetal presentation, mode of onset of labour, mode of delivery, pregnancy-related hypertensive disorders (PRHDs), gestational diabetes mellitus (GDM), gestational age at birth, neonatal length, neonatal cranial circumference, placental weight, neonatal sex, neonatal weight, apgar score at first and fifth minute, eventual administration of prenatal corticosteroid profilaxis, intrauterine growth restriction (IUGR), small for gestational age (SGA), large for gestational age (LGA), presence of neonatal congenital anomalies, neonatal distress syndrome (RDS), neonatal resuscitation (NR), neonatal intensive care unit (NICU) admission, periventricular leucomalacia (PVL), grade 3 and 4 intraventicular hemorrhage (IVH), retinopathy of prematurity (ROP), and perinatal death.
Gestational age was calculated by the date of the last known menstrual period and confirmed by ultrasound examination during first and second trimester. The presence of hypertension was defined as a systolic blood pressure ≥ 140 mmHg or a diastolic blood pressure ≥ 90 mmHg [22, 23]. The following items were grouped as PRHDs: eclampsia, pre-eclampsia, pre-eclampsia superimposed on chronic hypertension, and gestational hypertension [24, 25]. Pre-eclampsia was defined as hypertension accompanied by proteinuria first detected after 20 weeks gestation [22, 23]. Proteinuria was defined as the presence of urinary protein in concentrations more than 0.3 g in a 24-h period (this usually correlates with 30 mg/dl or greater in a random urine determination). Gestational hypertension was diagnosed in the same way as pre-eclampsia, but without proteinuria, and eclampsia was diagnosed in the same way as pre-eclampsia, but with seizures [22, 23]. Chronic hypertension was diagnosed when hypertension was present before the 20th week of pregnancy [22, 23]. IUGR was defined as the sonographic finding of foetal weight below the tenth percentile of expected weight for gestational age (using Hadlock formula), linked with the increased pulsatility index of umbilical artery greater than two standard deviations, and a post-partum verification with a foetal weight under the 10th centile at birth. In this study, SGA and LGA were defined as neonatal weight under the 10th and over the 90th percentiles for gestational age, respectively [26, 27]. Preterm delivery was defined as delivery occurring before 37 completed weeks of gestation. Over the course of our study period, the diabetes screening method was changed. Up until 2010 a universal 50 g oral glucose challenge was performed (as previously described [28]), between 2010 and 2011 the universal screening method changed as previously described [29, 30], and starting from 2011 gestational diabetes was diagnosed through the 75-g two-hour oral glucose tolerance test before or after 24 weeks of gestation in the second trimester according to the presence of risk factors [30, 31]. All foetuses in breech or abnormal presentation were delivered by cesarean section. A diagnosis of PVL was established on the basis of magnetic resonance imaging findings, routinely performed on the basis of Volpe’s study [32]. Grade 3 and 4 intraventicular hemorrhage (IVH) were diagnosed using cranial ultrasound and classified according to Papile’s definitions [33]. ROP was diagnosed by an experienced ophtamologist and classified according to the international classification of ROP [34]. Perinatal death was defined as death that occurs at less than 28 days of age and fetal deaths at a gestational age of 20 weeks or more [35].
Statistical analysis was performed using R software (version 3.4.1; R Core Team (2017). R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. URL https://​www.​R-project.​org/​.). P < 0.05 was considered statistically significant. Data are presented as median and interquartile range (IQR) for continuous non parametric variables; mean ± standard deviation for continuous parametric variables. Dicotomic variables were coded as percentage and absolute values, except for missing values (NA). The results of logistic regression models were presented as odds ratio (OR) at 95% confidence interval (CI). The distribution of continuous variables was evaluated with Kolmogorov-Smirnov test to detect whether the distribution was normal or not. For continuous variables the following statistical tests were employed: t-test for parametric variables and Wilcoxon test for continuous non parametric variables. Subsequently, logistic regression analysis was performed, considering established outcomes as dependent variables and the possible risk factors for such outcome as independent variables. In the multivariate model we took into account all possible predictive factor with p < 0.200 in univariate analysis. The Initial multivariate model included all variables and their interactions. When interactions turned out to be non significant, analysis without interaction model was used. In addition, the p-values of the multivariate analysis were adjusted using the false discovery rate test.

Results

During the considered period 22,933 single pregnancies gave birth in our unit. The mean maternal age at delivery was 31.88 years (±5.38) and 55.88% of women were nulliparous. We recorded 71 women aged < 17 years, 5714 aged between 18 and 28 years, 15591 aged between 29 and 39 years, and 1552 aged > 40 years. Figure 1a shows the consistent increase of pregnant women over 40 years of age in our population from 2001, as well as the low prevalence of pregnancies in patients younger than 17 years of age. Figure 1b and c depict the yearly mean age at delivery, which was constantly rising, and the contribution of nulliparous and multiparous women (Fig. 1c). In particular there was a significant increase in maternal age by 0.041 years (95% CI 0.024–0.058) in each year of the study.
Table 1 reports the characteristics of the population. Two elements were particularly relevant: preterm deliveries and PRHDs occurred more frequently among older women. In addition, low schooling was more frequent among younger women. Tables 2 and Additional file 1: Table S1 describe labour and delivery (in both global population and nulliparous women). It is worth noting that as maternal age increased, spontaneous labour and delivery declined significantly. GDM and abnormal fetal presentations (including breech presentation) were also more common among older women. Fetal outcomes are presented in Table 2 and Additional file 2: Table S2. Women over 40 years demonstrated a higher prevalence of RDS, grade 3 or 4 inter-ventricular hemorrhage, periventricular leucomalacia, neonatal cardio-pulmunar resuscitation, neonatal death and IUGR. In mothers under 17 years we observed a lower neonatal weight MoM and a greater incidence of grade 3 or 4 IVH.
Table 1
Characteristics of the study population categorised by age group
 
< 17 years (71)
18–28 years (5714)
29–39 years (15591)
> 40 years (1552)
p
Maternal age (years)
16.52 (±0.63)
24.86 (±2.70)
33.59 (±2.89)
41.34 (±1.60)
1,2,3,4,5,6
Nulliparous women
98.55% (68/69)
69.84% (3858/5524)
52.31% (7897/15097)
38.22% (571/1494)
1,2,3,4,5,6
Low schooling
76.06% (54/71)
34.06% (1946/5714)
18.27% (2848/15591)
20.30% (315/1552)
1,2,3,4,5,6
Conception mode
 Spontaneous
98.59% (70/71)
99.46% (5683/5714)
98.40% (15342/15591)
96.13% (1492/1552)
4,5,6
 Ovulation induction/IUI
1.41% (1/71)
0.35% (20/5714)
0.59% (92/15591)
0.52% (8/1552)
4
 IVF/ICSI
0.00% (0/71)
0.19% (11/5714)
1.01% (157/15591)
3.35% (52/1552)
4,5,6
Gestational age at delivery (weeks)
38.80 (±2.56)
38.69 (±2.64)
38.61 (±2.50)
38.17 (±2.68)
3,4,5,6
 Delivery < 32 weeks
2.82% (2/71)
3.65% (208/5705)
3.02% (470/15547)
3.80% (59/1552)
4
 Delivery < 34 weeks
2.82% (2/71)
4.93% (281/5705)
4.55% (707/15547)
5.86% (91/1552)
6
 Delivery < 37 weeks
8.45% (6/71)
9.87% (563/5705)
9.90% (1539/15547)
13.92% (216/1552)
5,6
Macro-region of origin
 Europe/Italy
80.00% (56/70)
81.29% (4637/5704)
92.03% (14339/15581)
94.71% (1469/1551)
2,3,4,5,6
 Sub-Saharian Africa
12.86% (9/70)
6.54% (373/5704)
3.61% (562/15581)
2.45% (38/1551)
1,2,3,4,5,6
 Arabian countries
1.43% (1/70)
5.84% (333/5704)
1.93% (301/15581)
1.42% (22/1551)
4,5
 Other origin
5.71% (4/70)
6.33% (361/5704)
2.43% (379/15581)
1.42% (22/1551)
3,4,5,6
PRHDs
0.00% (0/71)
2.22% (127/5714)
2.51% (391/15591)
5.41% (84/1552)
3,5,6
GDM
0.00% (0/71)
2.54% (145/5714)
4.28% (667/15591)
6.44% (100/1552)
3,4,5,6
Acronyms: IUI Intrauterine insemination, IVF In vitro fertilization, ICSI Intracytoplasmatic sperm injection, PRHD Pregnancy related hypertensive disorder, GDM Gestational diabetes mellitus. Different numbers indicate statistically significant differences (p < 0.05): (1) < 17 years vs 18–28 years; (2) < 17 years vs 29–39 years; (3) < 17 years vs > 40 years; (4) 18–28 years vs 29–39 years; (5) 18–28 years vs > 40 years; (6) 29–39 years vs > 40 years. NS= no significant difference
Table 2
Labor, delivery, and neonatal characteristics and neonatal outcomes
 
< 17 years (71)
18–28 years (5714)
29–39 years (15591)
> 40 years (1552)
p
Labor and delivery
 Abnormal fetal presentation
4.23% (3/71)
4.34% (248/5713)
5.33% (831/15590)
6.12% (95/1552)
4,5
 Mode of labor
 Spontaneous
71.21% (47/66)
68.10% (3399/4991)
63.22% (8478/13411)
52.95% (726/1371)
3,4,5,6
 Induced/augmented
19.70% (13/66)
22.30% (1113/4991)
21.19% (2842/13411)
19.69% (270/1371)
5
 Without labor
9.09% (6/66)
9.60% (479/4991)
15.59% (2091/13411)
27.35% (375/1371)
3,4,5,6
 Childbirth mode
 Operative vaginal delivery
5.63% (4/71)
8.58% (490/5714)
7.25% (1130/15591)
5.73% (89/1552)
4,5,6
 Spontaneous delivery
77.46% (55/71)
67.12% (3835/5714)
60.77% (9474/15591)
48.84% (758/1552)
2,3,4,5,6
 Caesarean section
16.90% (12/71)
24.31% (1389/5714)
31.99% (4987/15591)
45.43% (705/1552)
2,3,4,5,6
 Caesarean section in labour
8.33% (5/60)
14.30% (645/4512)
16.72% (1893/11320)
22.09% (220/996)
3,4,5,6
Neonatal charateristics and outcomes
 RDS prophylaxis
  Not performed
97.18% (69/71)
96.04% (5488/5714)
96.34% (15020/15591)
94.33% (1464/1552)
5,6
  Uncompleted
2.82% (2/71)
0.88% (50/5714)
0.66% (103/15591)
0.84% (13/1552)
2
  Completed
0.00% (0/71)
3.08% (176/5714)
3.00% (468/15591)
4.83% (75/1552)
5,6
 Neonatal male sex
49.30% (35/71)
51.40% (2937/5714)
50.86% (7930/15591)
51.29% (796/1552)
NS
 1st minute Apgar score
8.00 (8.00–9.00)
8.00 (8.00–9.00)
8.00 (8.00–9.00)
8.00 (8.00–9.00)
NS
 5th minute Apgar score
9.00 (9.00–9.00)
9.00 (9.00–9.00)
9.00 (9.00–9.00)
9.00 (9.00–9.00)
NS
 Neonatal congenital malformation
4.23% (3/71)
1.38% (79/5714)
1.50% (234/15591)
2.06% (32/1552)
1
 RDS
7.04% (5/71)
5.71% (326/5714)
5.71% (890/15591)
7.80% (121/1552)
5,6
 Retinopathy of prematurity
1.41% (1/71)
0.82% (47/5714)
0.90% (140/15591)
1.10% (17/1552)
NS
 3rd 4th degree IVH
1.41% (1/71)
0.26% (15/5714)
0.19% (29/15591)
0.52% (8/1552)
2,6
 Periventricular leucomalacia
0.00% (0/71)
0.16% (9/5714)
0.08% (12/15591)
0.32% (5/1552)
6
 NR
5.63% (4/71)
3.45% (197/5714)
3.30% (515/15588)
4.38% (68/1552)
6
 NICU hospitalization
0.00% (0/71)
0.02% (1/5711)
0.03% (5/15582)
0.00% (0/1551)
NS
 Perinatal death
0.00% (0/71)
0.93% (53/5714)
0.74% (116/15591)
1.16% (18/1552)
NS
  IUFD
0.00% (0/71)
0.30% (17/5714)
0.37% (58/15591)
0.45% (7/1552)
NS
  Neonatal death
0.00% (0/71)
0.63% (36/5714)
0.37% (58/15591)
0.71% (11/1552)
4,6
Acronyms: RDS Respiratory distress syndrome, IVH Intraventricular hemorrhage, NR Neonatal resuscitation, NICU Neonatal intensive care unit, IUFD Intrauterine fetal demise. Different numbers indicate statistically significant differences (p < 0.05): (1) < 17 years vs 18–28 years; (2) < 17 years vs 29–39 years; (3) < 17 years vs > 40 years; (4) 18–28 years vs 29–39 years; (5) 18–28 years vs > 40 years; (6) 29–39 years vs > 40 years. NS= no significant difference
Maternal age was an independent risk factor for the considered variables in multivariate analysis, as explained in Tables 3 and 4. In conclusion, multivariate analysis showed that maternal age over 40 years was an independent risk factor for preterm delivery, PRHDs, GDM, abnormal fetal presentation, cesarean section, and fetal PVL. We also observed that maternal age under 17 years or over 40 years was an independent risk factor for grade 3 or 4 neonatal IVH. Also after adjustment of the multivariate analysis p-values with the false discovery rate test maternal age over 40 years remained a significant risk factor for many of the previously listed outcomes, only fetal PVL p-value shifted slightly above the significant threshold.
Table 3
Risk factors for the following specified pregnancy outcomes considered as dependent variables: delivery < 37 weeks’ gestation; pregnancy related hypertensive disorders; and caesarean section. Possible risk factors were considered as independent variables. Univariate and multivariate (*) logistic regression analysis were performed. (**) Excluded from the analysis non cephalic fetal presentation. (#) p-value corrected for the false discovery rate test
 
OR (CI95%)
p
OR (CI95%) (*)
p (*)
p(#)
Delivery < 37 weeks’ gestation
 Maternal age > 40 years
1.47 (1.27–1.71)
< 0.05
1.36 (1.16–1.61)
< 0.05
< 0.05
 Nulliparous women
1.26 (1.16–1.38)
< 0.05
1.31 (1.19–1.44)
< 0.05
< 0.05
 Conception via assisted reproductive techniques
1.53 (1.13–2.07)
< 0.05
1.24 (0.9–1.72)
0.180
0.184
 PRHDs (ŧ)
10.82 (9.16–12.78)
< 0.05
12.25 (10.02–14.99)
< 0.05
< 0.05
 Low schooling (ŧ)
1.25 (1.14–1.38)
< 0.05
1.31 (1.17–1.46)
< 0.05
< 0.05
Macro-region of origin
 Europe/Italy
Reference
Reference
 Sub-Saharian Africa
1.43 (1.19–1.73)
< 0.05
1.19 (0.97–1.47)
0.090
0.106
 Arabian countries
0.75 (0.56–1)
< 0.05
0.75 (0.55–1.01)
0.060
0.077
 Other origin
1.38 (1.11–1.71)
< 0.05
1.35 (1.08–1.69)
< 0.05
< 0.05
Pregnancy related hypertensive disorders
 Maternal age > 40 years
2.32 (1.83–2.94)
< 0.05
2.36 (1.86–3.00)
< 0.05
< 0.05
 Nulliparous women
1.07 (0.91–1.26)
0.439
   
 Conception via assisted reproductive techniques
2.4 (1.53–3.75)
< 0.05
2.28 (1.45–3.58)
< 0.05
< 0.05
 Low schooling
1.53 (1.28–1.82)
< 0.05
1.4 (1.17–1.69)
< 0.05
< 0.05
 Sub-Saharian Africa origin
2.73 (2.08–3.58)
< 0.05
2.53 (1.91–3.36)
< 0.05
< 0.05
GDM
 Maternal age > 40 years
1.74 (1.41–2.16)
< 0.05
1.71 (1.37–2.12)
< 0.05
< 0.05
 Nulliparous women
0.71 (0.62–0.82)
< 0.05
0.74 (0.64–0.84)
< 0.05
< 0.05
 Conception via assisted reproductive techniques
2.02 (1.35–3.03)
< 0.05
2.12 (1.4–3.19)
< 0.05
< 0.05
 Low schooling
1.08 (0.93–1.27)
0.309
   
Macro-region of origin
 Europe/Italy
Reference
Reference
 Sub-Saharian Africa
1.44 (1.08–1.91)
< 0.05
1.44 (1.08–1.93)
< 0.05
< 0.05
 Arabian countries
1.5 (1.07–2.11)
< 0.05
1.49 (1.05–2.1)
< 0.05
< 0.05
 Other origin
1.35 (0.97–1.87)
0.077
1.33 (0.94–1.86)
0.104
0.104
Abnormal fetal presentation
 Maternal age > 40 years
1.22 (0.98–1.52)
0.068
1.29 (1.03–1.61)
< 0.05
< 0.05
 Nulliparous women
1.53 (1.35–1.73)
< 0.05
1.52 (1.34–1.73)
< 0.05
< 0.05
 Conception via assisted reproductive techniques
1.94 (1.34–2.8)
< 0.05
1.65 (1.14–2.39)
< 0.05
< 0.05
 Arabian countries origin
0.37 (0.21–0.64)
< 0.05
0.37 (0.21–0.66)
< 0.05
< 0.05
Caesarean section (**)
 Maternal age > 40 years
2.03 (1.82–2.27)
< 0.05
1.99 (1.78–2.23)
< 0.05
< 0.05
 Nulliparous women
1.01 (0.95–1.07)
0.774
   
 Conception via assisted reproductive techniques
1.68 (1.34–2.12)
< 0.05
1.52 (1.20–1.93)
< 0.05
< 0.05
 PRHDs (ŧŧ)
4.74 (3.97–5.65)
< 0.05
29.6 (10.72–81.70)
< 0.05
< 0.05
 Low schooling
1.07 (1.00–1.15)
< 0.05
1.02 (0.95–1.10)
0.610
0.612
 Sub-Saharian Africa origin
1.61 (1.45–1.79)
< 0.05
1.63 (1.46–1.82)
< 0.05
< 0.05
 Induced/augmented labor
0.97 (0.89–1.05)
0.400
   
 Neonatal weight (MoM) (ŧŧ)
0.68 (0.55–0.85)
< 0.05
0.89 (0.71–1.12)
0.330
0.379
Acronyms: PRHD Pregnancy related hypertensive disorder, MoM Multiple of median. Interaction terms: (ŧ) Interaction term for PRHDs and Low schooling OR 0.56 (CI95% 0.39–0.81) (p < 0.05); (ŧŧ) Interaction term for PRHDs and neonatal weight MoM OR 0.13 (CI95% 0.05–0.37)
Table 4
Risk factors for the following specified neonatal outcomes considered as dependent variables: Fetal PVL and fetal IVH (3rd-4th degree). Possible risk factors were considered as independent variables. Univariate and multivariate (*) logistic regression analysis was performed. (#) p-value corrected for the false discovery rate test
 
OR (CI95%)
p
OR (CI95%) (*)
p (*)
p(#)
Fetal PVL
 Maternal age > 40 years
3.29 (1.24–8.73)
< 0.05
3.32 (1.17–9.44)
< 0.05
0.056
 Nulliparous women
0.92 (0.43–1.99)
0.835
   
 Conception via assisted reproductive techniques
2.65 (0.36–19.65)
0.339
   
 Low schooling
2.15 (0.98–4.75)
0.057
1.22 (0.52–2.88)
0.650
0.754
 Sub-Saharian Africa/Arabian/Other origin
3.8 (1.65–8.75)
< 0.05
2.71 (1.07–6.82)
< 0.05
0.061
 PRHDs
6.54 (2.25–19.03)
< 0.05
1.06 (0.35–3.26)
0.920
0.918
 Gestational age at birth (weeks) (ŧ)
0.68 (0.63–0.72)
< 0.05
0.66 (0.6–0.73)
< 0.05
< 0.05
 Prenatal RDS prophylaxis (ŧ)
7.42 (4.95–11.13)
< 0.05
0.06 (0.00–1.00)
0.050
0.070
Fetal IVH (3rd-4th degree)
 Maternal age < 17 years or > 40 years
2.69 (1.31–5.53)
< 0.05
2.97 (1.24–7.14)
< 0.05
< 0.05
 Nulliparous women
1.49 (0.84–2.64)
0.17
   
 Conception via assisted reproductive techniques
2.61 (0.63–10.75)
0.185
   
 Low schooling
1.49 (0.83–2.68)
0.184
   
 Sub-Saharian Africa origin
2.86 (1.22–6.71)
< 0.05
1.59 (0.59–4.28)
0.360
0.481
 PRHDs
2.99 (1.08–8.33)
< 0.05
0.71 (0.24–2.1)
0.530
0.533
 Gestational age at birth (weeks)
0.62 (0.58–0.66)
< 0.05
0.62 (0.58–0.66)
< 0.05
< 0.05
Acronyms: PRHD Pregnancy related hypertensive disorder, PVL Periventricular leucomalacia, RDS Respiratory distress syndrome, IVH Intraventricular hemorrhage. Interaction terms: (ŧ) Interaction term for gestational age at birth and prenatal RDS prophylaxis OR 1.12 (CI95% 1.02–1.23) (p < 0.05)

Discussion

Our study shows an increasing prevalence of mothers aged over 40 years. This is consistent with Italian and European demographic data, in which Italy ranks as one of the top countries for high maternal mean age at birth of the first child [1, 2]. In all developed countries, the deep social and economic transformations of recent decades have led to higher life standards together with a deferment of parenthood [35, 36]. This phenomenon is due to multiple determinants: global aging of population with an increasing prevalence of women aged between 35 and 45 years, the change in social customs with a rise in divorces and second marriages, improvements to women’s educational and professional outlooks as well as the diffusion of contraception. The availability of contraception has made women protagonists of their childbearing options. Asked to explain the main determinants of their pregnancy plan, a survey group of women mentioned educational and career achievements, financial goals and emotional stability, illustrating how individual readiness seems to be an essential factor in guiding childbearing options [37].
In our study the incidence of PRHDs is higher as maternal age increases. This is in line with the findings of other studies. In a retrospective analysis of 8′079’996 live births of singletons the adjusted odds ratio of pregnancy associated hypertension for women ≥45 years, compared with women aged 30–34, was 1.55 and 2.13 respectively for primiparas and multiparas [38]. Another case control study found a significantly higher rate of preeclampsia in women over 45 years compared to the control group (10.7% versus 1.8% respectively) [39].
The higher risk of developing GDM with advancing age that we confirmed is widely reinforced in literature, and can be explained by the progressive depletion of pancreatic β-cell function that leads to a reduced insulin sensitivity. This data justifies the universal screening in all pregnant women over 35 years old that we currently apply [15, 38, 39].
Maternal age over 40 years is an independent risk factor for preterm delivery. This data was reported in various population-based studies [4042]. Swedish research studying 2′009’068 birth found that advanced maternal age is associated with an increased risk of preterm birth, especially very preterm birth, irrespective of parity, (adjusted ORs 1.18 to 1.28 at 30–34 years, from 1.59 to 1.70 at 35–39 years, and from 1.97 to 2.40 at ≥40 years) [43]. Another population based cohort study from Sweden restricted to 173,715 healthy women with a single pregnancy, reported increasing adjusted odds ratios for preterm delivery with increasing maternal age, after adjusting for demographic characteristics, smoking, history of infertility, and other medical conditions [44]. The underling reasons are not clear. One of the mechanisms that could be involved is placental vascular pathology. In fact, spontaneous preterm birth has been associated with a four- to seven-fold increased risk of histological evidence of placental bleeding, loss of vessel integrity and lack of physiologic conversion of maternal spiral arteries [45]. Preeclampsia and hypertensive disorders are also associated with uteroplacental ischemia and with pre-term birth. As we illustrated, older women have a higher risk of both these complications, and are also more likely to have a IUGR, which is also vascular-mediated. Another possible actor in the pathway of preterm birth in older women is progesterone deficiency: progesterone levels decrease with maternal age. Low levels of this hormone are associated with preterm delivery and progesterone supplementation has been proven to be effective in preventing it [46].
We demonstrated a lower prevalence of labour and spontaneous delivery in women of advanced age, and a higher rate of cesarean section. A lot of other studies came to similar conclusions [4751]. In a retrospective cohort study of mothers aged 45 years or more the cesarean section rate was 49% compared to 23% in the 20–29 year age group (p < 0.001) [47]. In another retrospective analysis, among 77 women aged 50 years or older, who conceived after in vitro fertilization with donor oocytes, 68% were delivered by cesarean section [51]. Another paper that reviewed 24′032 pregnancies of women who delivered at age 40 or over, illustrated a higher risk of operative delivery (cesarean, forceps, and vacuum deliveries): 61% compared to the 35% in younger nulliparous women, in spite of lower birth weight and gestational age [50]. In a cohort study on 78′880 singleton births in the United States, which excluded patients with prior cesarean section, the proportions and the risks of primary cesarean section increased with age in spite of parity [49]. The reasons for the high rate of operative delivery in older women are controversial. In our sample a higher rate of cesarean section in older women remains even after controlling for labour induction and exluding abnormal fetal presentations, suggesting that beyond comorbilities other factors impact on this surgical intervention. Labour distocia has been reported to be significantly higher in advanced age [52]. The correlation between uterine dysfunction and age has already been studied, and seems to have a linear increase during childbearing years [53]. In particular our data confirms a significant association between abnormal fetal presentation and older age [54], which could also be due to impaired placentation correlated with advanced maternal age [45, 55].
A maternal age over 40 years was an independent risk factor for fetal PVL. An age either below 17 years or over 40 years was an independent risk factor for grade 3 or 4 neonatal IVH. These results describe a previously unknown important impact of maternal age on neonatal morbidity that, to our knowledge, we disclose for the first time. The pathogenesis of IVH is linked to the fragility of the germinal matrix in immature preterm infants, on which an alteration of cerebral blood flow related to hypoxia-ischemia and reperfusion intervenes [56]. Therefore, we hypothesize that the implied mechanism in women at the extremes of childbearing age has, again, a vascular origin. In fact, an impaired vascular adaptation has been considered also in adolescent pregnancies [57]. Physical immaturity in younger mothers would be an obstacle to the physiological placental invasion through multiple pathways: an incomplete estrogen-dependent growth of the uterus, a residual ontogenetic progesterone resistance and a deficient tissue specific programming of immune cells.
The main limitation of this study is its retrospective design. Meanwhile, its strengths lie firstly in the fact that it allows the possibility to take important confounding factors into account, and secondly that clinical management was handled by the same team following the same obstetrical and neonatal policies to manage all cases. In addition, in comparison to recent literature where the mean age observed was 30.65 years (95% CI 28.56–32.75) [11, 12, 17, 39, 43, 49], our study with a mean maternal age of 31.88 years (±5.38) better contributes to evidence-based knowledge of possible risk factors of delayed childbearing in a aging population.

Conclusions

In spite of the underlying mechanisms, these findings confirm the negative impact of extreme maternal ages on pregnancy. As the trend of delaying childbearing is well-established and likely to continue, these results should be carefully taken into account by maternal care providers in order to inform women adequately, providing evidence-based knowledge to support their procreation choices, and to improve clinical surveillance aiming to identify early signs of adverse outcomes.

Acknowledgements

We are grateful to Eilidh PJ Medley (McIntosh) for her suggestions on the style and composition of our English. The authors would like to thank the whole staff collaborating in clinical practice and in the study, particularly during data collection.
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.
Not applicable.

Competing interests

The authors declare that they have no competing interests.
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Literatur
1.
Zurück zum Zitat Loghi M, Crialesi R, editors. La salute riproduttiva della donna. Roma: Istituto Nazionale di Statistica; 2017. Loghi M, Crialesi R, editors. La salute riproduttiva della donna. Roma: Istituto Nazionale di Statistica; 2017.
2.
Zurück zum Zitat Sabbadini L. Gravidanza e parto. Roma Istat. 2001;12. Sabbadini L. Gravidanza e parto. Roma Istat. 2001;12.
3.
Zurück zum Zitat Sobotka T. Post-transitional fertility: childbearing postponement and the shift to low and unstable fertility levels. Vienna: Vienna Institute of Demography Working Papers 01/2017; 2017. Sobotka T. Post-transitional fertility: childbearing postponement and the shift to low and unstable fertility levels. Vienna: Vienna Institute of Demography Working Papers 01/2017; 2017.
4.
Zurück zum Zitat Shan D, Qiu PY, Wu YX, Chen Q, Li AL, Ramadoss S, et al. Pregnancy outcomes in women of advanced maternal age: a retrospective cohort study from China. Sci Rep. 2018;8:12239.CrossRef Shan D, Qiu PY, Wu YX, Chen Q, Li AL, Ramadoss S, et al. Pregnancy outcomes in women of advanced maternal age: a retrospective cohort study from China. Sci Rep. 2018;8:12239.CrossRef
5.
Zurück zum Zitat Hamilton BE, Martin JA, Osterman MJK, Curtin SC, Matthews TJ. Births: final data for 2014. Natl Vital Stat Rep. 2015;64:1–64.PubMed Hamilton BE, Martin JA, Osterman MJK, Curtin SC, Matthews TJ. Births: final data for 2014. Natl Vital Stat Rep. 2015;64:1–64.PubMed
6.
Zurück zum Zitat Gibbs CM, Wendt A, Peters S, Hogue CJ. The impact of early age at first childbirth on maternal and infant health. Paediatr Perinat Epidemiol. 2012;26(Suppl 1):259–84.CrossRef Gibbs CM, Wendt A, Peters S, Hogue CJ. The impact of early age at first childbirth on maternal and infant health. Paediatr Perinat Epidemiol. 2012;26(Suppl 1):259–84.CrossRef
7.
Zurück zum Zitat Londero AP, Bertozzi S, Fruscalzo A, Driul L, Marchesoni D. Ultrasonographic assessment of cervix size and its correlation with female characteristics, pregnancy, bmi, and other anthropometric features. Arch Gynecol Obstet. 2011;283:545–50.CrossRef Londero AP, Bertozzi S, Fruscalzo A, Driul L, Marchesoni D. Ultrasonographic assessment of cervix size and its correlation with female characteristics, pregnancy, bmi, and other anthropometric features. Arch Gynecol Obstet. 2011;283:545–50.CrossRef
8.
Zurück zum Zitat Chen XK, Wen SW, Fleming N, Demissie K, Rhoads GG, Walker M. Teenage pregnancy and adverse birth outcomes: a large population based retrospective cohort study. Int J Epidemiol. 2007;36:368–73.CrossRef Chen XK, Wen SW, Fleming N, Demissie K, Rhoads GG, Walker M. Teenage pregnancy and adverse birth outcomes: a large population based retrospective cohort study. Int J Epidemiol. 2007;36:368–73.CrossRef
9.
Zurück zum Zitat Malabarey OT, Balayla J, Klam SL, Shrim A, Abenhaim HA. Pregnancies in young adolescent mothers: a population-based study on 37 million births. J Pediatr Adolesc Gynecol. 2012;25:98–102.CrossRef Malabarey OT, Balayla J, Klam SL, Shrim A, Abenhaim HA. Pregnancies in young adolescent mothers: a population-based study on 37 million births. J Pediatr Adolesc Gynecol. 2012;25:98–102.CrossRef
10.
Zurück zum Zitat Waters EG, Wager HP. Pregnancy and labour experiences of elderly primigravidas. J Mich State Med Soc. 1950;49:435–9.PubMed Waters EG, Wager HP. Pregnancy and labour experiences of elderly primigravidas. J Mich State Med Soc. 1950;49:435–9.PubMed
11.
Zurück zum Zitat Kenny LC, Lavender T, McNamee R, O’Neill SM, Mills T, Khashan AS. Advanced maternal age and adverse pregnancy outcome: evidence from a large contemporary cohort. PLoS One. 2013;8:e56583.CrossRef Kenny LC, Lavender T, McNamee R, O’Neill SM, Mills T, Khashan AS. Advanced maternal age and adverse pregnancy outcome: evidence from a large contemporary cohort. PLoS One. 2013;8:e56583.CrossRef
12.
Zurück zum Zitat Laopaiboon M, Lumbiganon P, Intarut N, Mori R, Ganchimeg T, Vogel JP, et al. Advanced maternal age and pregnancy outcomes: a multicountry assessment. BJOG. 2014;121(Suppl 1):49–56.CrossRef Laopaiboon M, Lumbiganon P, Intarut N, Mori R, Ganchimeg T, Vogel JP, et al. Advanced maternal age and pregnancy outcomes: a multicountry assessment. BJOG. 2014;121(Suppl 1):49–56.CrossRef
13.
Zurück zum Zitat Dietl A, Cupisti S, Beckmann MW, Schwab M, Zollner U. Pregnancy and obstetrical outcomes in women over 40 years of age. Geburtshilfe Frauenheilkd. 2015;75:827–32.CrossRef Dietl A, Cupisti S, Beckmann MW, Schwab M, Zollner U. Pregnancy and obstetrical outcomes in women over 40 years of age. Geburtshilfe Frauenheilkd. 2015;75:827–32.CrossRef
14.
Zurück zum Zitat Astolfi P, Zonta LA. Delayed maternity and risk at delivery. Paediatr Perinat Epidemiol. 2002;16:67–72.CrossRef Astolfi P, Zonta LA. Delayed maternity and risk at delivery. Paediatr Perinat Epidemiol. 2002;16:67–72.CrossRef
15.
Zurück zum Zitat Jolly M, Sebire N, Harris J, Robinson S, Regan L. The risks associated with pregnancy in women aged 35 years or older. Hum Reprod. 2000;15:2433–7.CrossRef Jolly M, Sebire N, Harris J, Robinson S, Regan L. The risks associated with pregnancy in women aged 35 years or older. Hum Reprod. 2000;15:2433–7.CrossRef
16.
Zurück zum Zitat Huang L, Sauve R, Birkett N, Fergusson D, van Walraven C. Maternal age and risk of stillbirth: a systematic review. CMAJ. 2008;178:165–72.CrossRef Huang L, Sauve R, Birkett N, Fergusson D, van Walraven C. Maternal age and risk of stillbirth: a systematic review. CMAJ. 2008;178:165–72.CrossRef
17.
Zurück zum Zitat Wang Y, Tanbo T, Abyholm T, Henriksen T. The impact of advanced maternal age and parity on obstetric and perinatal outcomes in singleton gestations. Arch Gynecol Obstet. 2011;284:31–7.CrossRef Wang Y, Tanbo T, Abyholm T, Henriksen T. The impact of advanced maternal age and parity on obstetric and perinatal outcomes in singleton gestations. Arch Gynecol Obstet. 2011;284:31–7.CrossRef
18.
Zurück zum Zitat Khalil A, Syngelaki A, Maiz N, Zinevich Y, Nicolaides KH. Maternal age and adverse pregnancy outcome: a cohort study. Ultrasound Obstet Gynecol. 2013;42:634–43.CrossRef Khalil A, Syngelaki A, Maiz N, Zinevich Y, Nicolaides KH. Maternal age and adverse pregnancy outcome: a cohort study. Ultrasound Obstet Gynecol. 2013;42:634–43.CrossRef
19.
Zurück zum Zitat Kanungo J, James A, McMillan D, Lodha A, Faucher D, Lee SK, et al. Advanced maternal age and the outcomes of preterm neonates: a social paradox? Obstet Gynecol. 2011;118:872–7.CrossRef Kanungo J, James A, McMillan D, Lodha A, Faucher D, Lee SK, et al. Advanced maternal age and the outcomes of preterm neonates: a social paradox? Obstet Gynecol. 2011;118:872–7.CrossRef
20.
Zurück zum Zitat Carolan M. Maternal age ≥45 years and maternal and perinatal outcomes: a review of the evidence. Midwifery. 2013;29:479–89.CrossRef Carolan M. Maternal age ≥45 years and maternal and perinatal outcomes: a review of the evidence. Midwifery. 2013;29:479–89.CrossRef
21.
Zurück zum Zitat Battin M, Sadler L, Australia, Network NZN. Neonatal intensive care utilization and neonatal outcome of infants born to women aged 40 years and over in New Zealand. Acta Paediatr. 2010;99:219–24.CrossRef Battin M, Sadler L, Australia, Network NZN. Neonatal intensive care utilization and neonatal outcome of infants born to women aged 40 years and over in New Zealand. Acta Paediatr. 2010;99:219–24.CrossRef
22.
Zurück zum Zitat Lowe SA, Brown MA, Dekker GA, Gatt S, McLintock CK, McMahon LP, et al. Guidelines for the management of hypertensive disorders of pregnancy 2008. Aust N Z J Obstet Gynaecol. 2009;49:242–6.CrossRef Lowe SA, Brown MA, Dekker GA, Gatt S, McLintock CK, McMahon LP, et al. Guidelines for the management of hypertensive disorders of pregnancy 2008. Aust N Z J Obstet Gynaecol. 2009;49:242–6.CrossRef
23.
Zurück zum Zitat Visentin S, Londero AP, Camerin M, Grisan E, Cosmi E. A possible new approach in the prediction of late gestational hypertension: the role of the fetal aortic intima-media thickness. Medicine. 2017;96:e5515.CrossRef Visentin S, Londero AP, Camerin M, Grisan E, Cosmi E. A possible new approach in the prediction of late gestational hypertension: the role of the fetal aortic intima-media thickness. Medicine. 2017;96:e5515.CrossRef
24.
Zurück zum Zitat Bertozzi S, Londero AP, Salvador S, Grassi T, Fruscalzo A, Driul L, et al. Influence of the couple on hypertensive disorders during pregnancy: a retrospective cohort study. Pregnancy Hypertens. 2011;1:156–63.CrossRef Bertozzi S, Londero AP, Salvador S, Grassi T, Fruscalzo A, Driul L, et al. Influence of the couple on hypertensive disorders during pregnancy: a retrospective cohort study. Pregnancy Hypertens. 2011;1:156–63.CrossRef
25.
Zurück zum Zitat Fruscalzo A, Bertozzi S, Londero AP, Biasioli A, Driul L, Kiesel L, et al. Menstrual abnormalities and predisposition to pregnancy-related hypertensive disorders: a retrospective study. Gynecol Endocrinol. 2010;26:445–50.CrossRef Fruscalzo A, Bertozzi S, Londero AP, Biasioli A, Driul L, Kiesel L, et al. Menstrual abnormalities and predisposition to pregnancy-related hypertensive disorders: a retrospective study. Gynecol Endocrinol. 2010;26:445–50.CrossRef
26.
Zurück zum Zitat Visentin S, Londero AP, Calanducci M, Grisan E, Bongiorno MC, Marin L, et al. Fetal abdominal aorta: doppler and structural evaluation of endothelial function in intrauterine growth restriction and controls. Ultraschall Med. 2019;40(01):55–63.PubMed Visentin S, Londero AP, Calanducci M, Grisan E, Bongiorno MC, Marin L, et al. Fetal abdominal aorta: doppler and structural evaluation of endothelial function in intrauterine growth restriction and controls. Ultraschall Med. 2019;40(01):55–63.PubMed
27.
Zurück zum Zitat Londero AP, Bertozzi S, Visentin S, Fruscalzo A, Driul L, Marchesoni D. High placental index and poor pregnancy outcomes: a retrospective study of 18,386 pregnancies. Gynecol Endocrinol. 2013;29:666–9.CrossRef Londero AP, Bertozzi S, Visentin S, Fruscalzo A, Driul L, Marchesoni D. High placental index and poor pregnancy outcomes: a retrospective study of 18,386 pregnancies. Gynecol Endocrinol. 2013;29:666–9.CrossRef
28.
Zurück zum Zitat Fruscalzo A, Londero AP, Biasizzo J, Curcio F, Bertozzi S, Marchesoni D, et al. Second trimester maternal plasma and amniotic fluid adipokines in women who will develop gestational diabetes mellitus. Gynecol Endocrinol. 2015;31:934–8.CrossRef Fruscalzo A, Londero AP, Biasizzo J, Curcio F, Bertozzi S, Marchesoni D, et al. Second trimester maternal plasma and amniotic fluid adipokines in women who will develop gestational diabetes mellitus. Gynecol Endocrinol. 2015;31:934–8.CrossRef
29.
Zurück zum Zitat Fruscalzo A, Londero AP, Driul L, Henze A, Tonutti L, Ceraudo M, et al. First trimester concentrations of the ttr-rbp4-retinol complex components as early markers of insulin-treated gestational diabetes mellitus. Clin Chem Lab Med. 2015;53:1643–51.CrossRef Fruscalzo A, Londero AP, Driul L, Henze A, Tonutti L, Ceraudo M, et al. First trimester concentrations of the ttr-rbp4-retinol complex components as early markers of insulin-treated gestational diabetes mellitus. Clin Chem Lab Med. 2015;53:1643–51.CrossRef
30.
Zurück zum Zitat Corrado F, Pintaudi B, Di Vieste G, Interdonato ML, Magliarditi M, Santamaria A, et al. Italian risk factor-based screening for gestational diabetes. J Matern Fetal Neonatal Med. 2014;27:1445–8.CrossRef Corrado F, Pintaudi B, Di Vieste G, Interdonato ML, Magliarditi M, Santamaria A, et al. Italian risk factor-based screening for gestational diabetes. J Matern Fetal Neonatal Med. 2014;27:1445–8.CrossRef
31.
Zurück zum Zitat Benhalima K, Mathieu C, Van Assche A, Damm P, Devlieger R, Mahmood T, et al. Survey by the european board and college of obstetrics and gynaecology on screening for gestational diabetes in europe. Eur J Obstet Gynecol Reprod Biol. 2016;201:197–202.CrossRef Benhalima K, Mathieu C, Van Assche A, Damm P, Devlieger R, Mahmood T, et al. Survey by the european board and college of obstetrics and gynaecology on screening for gestational diabetes in europe. Eur J Obstet Gynecol Reprod Biol. 2016;201:197–202.CrossRef
32.
Zurück zum Zitat Volpe JJ. Cerebral white matter injury of the premature infant-more common than you think. Pediatrics. 2003;112:176–80.CrossRef Volpe JJ. Cerebral white matter injury of the premature infant-more common than you think. Pediatrics. 2003;112:176–80.CrossRef
33.
Zurück zum Zitat 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;92:529–34.CrossRef 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;92:529–34.CrossRef
34.
Zurück zum Zitat Aaberg T, Ben-Sira I, Charles S, Clarkson J, Cohen BZ, Flynn J, et al. An International Classification of Retinopathy of Prematurity: II. The Classification of Retinal Detachment. Arch Ophthalmol. 1987;105(7):906–12.CrossRef Aaberg T, Ben-Sira I, Charles S, Clarkson J, Cohen BZ, Flynn J, et al. An International Classification of Retinopathy of Prematurity: II. The Classification of Retinal Detachment. Arch Ophthalmol. 1987;105(7):906–12.CrossRef
36.
Zurück zum Zitat Martin JA, Hamilton BE, Ventura SJ, Osterman MJK, Mathews TJ. Births: final data for 2011. Natl Vital Stat Rep. 2013;62:1–69 72.PubMed Martin JA, Hamilton BE, Ventura SJ, Osterman MJK, Mathews TJ. Births: final data for 2011. Natl Vital Stat Rep. 2013;62:1–69 72.PubMed
37.
Zurück zum Zitat Cooke A, Mills TA, Lavender T. ‘Informed and uninformed decision making’–women’s reasoning, experiences and perceptions with regard to advanced maternal age and delayed childbearing: a meta-synthesis. Int J Nurs Stud. 2010;47:1317–29.CrossRef Cooke A, Mills TA, Lavender T. ‘Informed and uninformed decision making’–women’s reasoning, experiences and perceptions with regard to advanced maternal age and delayed childbearing: a meta-synthesis. Int J Nurs Stud. 2010;47:1317–29.CrossRef
38.
Zurück zum Zitat Luke B, Brown MB. Elevated risks of pregnancy complications and adverse outcomes with increasing maternal age. Hum Reprod. 2007;22:1264–72.CrossRef Luke B, Brown MB. Elevated risks of pregnancy complications and adverse outcomes with increasing maternal age. Hum Reprod. 2007;22:1264–72.CrossRef
39.
Zurück zum Zitat Yogev Y, Melamed N, Bardin R, Tenenbaum-Gavish K, Ben-Shitrit G, Ben-Haroush A. Pregnancy outcome at extremely advanced maternal age. Am J Obstet Gynecol. 2010;203:558.e1–7.CrossRef Yogev Y, Melamed N, Bardin R, Tenenbaum-Gavish K, Ben-Shitrit G, Ben-Haroush A. Pregnancy outcome at extremely advanced maternal age. Am J Obstet Gynecol. 2010;203:558.e1–7.CrossRef
40.
Zurück zum Zitat Tough SC, Newburn-Cook C, Johnston DW, Svenson LW, Rose S, Belik J. Delayed childbearing and its impact on population rate changes in lower birth weight, multiple birth, and preterm delivery. Pediatrics. 2002;109:399–403.CrossRef Tough SC, Newburn-Cook C, Johnston DW, Svenson LW, Rose S, Belik J. Delayed childbearing and its impact on population rate changes in lower birth weight, multiple birth, and preterm delivery. Pediatrics. 2002;109:399–403.CrossRef
41.
Zurück zum Zitat Jacobsson B, Ladfors L, Milsom I. Advanced maternal age and adverse perinatal outcome. Obstet Gynecol. 2004;104:727–33.CrossRef Jacobsson B, Ladfors L, Milsom I. Advanced maternal age and adverse perinatal outcome. Obstet Gynecol. 2004;104:727–33.CrossRef
42.
Zurück zum Zitat Delpisheh A, Brabin L, Attia E, Brabin BJ. Pregnancy late in life: a hospital-based study of birth outcomes. J Women's Health (Larchmt). 2008;17:965–70.CrossRef Delpisheh A, Brabin L, Attia E, Brabin BJ. Pregnancy late in life: a hospital-based study of birth outcomes. J Women's Health (Larchmt). 2008;17:965–70.CrossRef
43.
Zurück zum Zitat Waldenström U, Cnattingius S, Vixner L, Norman M. Advanced maternal age increases the risk of very preterm birth, irrespective of parity: a population-based register study. BJOG. 2017;124:1235–44.CrossRef Waldenström U, Cnattingius S, Vixner L, Norman M. Advanced maternal age increases the risk of very preterm birth, irrespective of parity: a population-based register study. BJOG. 2017;124:1235–44.CrossRef
44.
Zurück zum Zitat Cnattingius S, Forman MR, Berendes HW, Isotalo L. Delayed childbearing and risk of adverse perinatal outcome. a population-based study. JAMA. 1992;268:886–90.CrossRef Cnattingius S, Forman MR, Berendes HW, Isotalo L. Delayed childbearing and risk of adverse perinatal outcome. a population-based study. JAMA. 1992;268:886–90.CrossRef
45.
Zurück zum Zitat Kelly R, Holzman C, Senagore P, Wang J, Tian Y, Rahbar MH, et al. Placental vascular pathology findings and pathways to preterm delivery. Am J Epidemiol. 2009;170:148–58.CrossRef Kelly R, Holzman C, Senagore P, Wang J, Tian Y, Rahbar MH, et al. Placental vascular pathology findings and pathways to preterm delivery. Am J Epidemiol. 2009;170:148–58.CrossRef
46.
Zurück zum Zitat Norwitz ER, Caughey AB. Progesterone supplementation and the prevention of preterm birth. Rev Obstet Gynecol. 2011;4:60–72.PubMedPubMedCentral Norwitz ER, Caughey AB. Progesterone supplementation and the prevention of preterm birth. Rev Obstet Gynecol. 2011;4:60–72.PubMedPubMedCentral
47.
Zurück zum Zitat Callaway LK, Lust K, McIntyre HD. Pregnancy outcomes in women of very advanced maternal age. Aust N Z J Obstet Gynaecol. 2005;45:12–6.CrossRef Callaway LK, Lust K, McIntyre HD. Pregnancy outcomes in women of very advanced maternal age. Aust N Z J Obstet Gynaecol. 2005;45:12–6.CrossRef
48.
Zurück zum Zitat Bayrampour H, Heaman M. Advanced maternal age and the risk of cesarean birth: a systematic review. Birth. 2010;37:219–26.CrossRef Bayrampour H, Heaman M. Advanced maternal age and the risk of cesarean birth: a systematic review. Birth. 2010;37:219–26.CrossRef
49.
Zurück zum Zitat Richards MK, Flanagan MR, Littman AJ, Burke AK, Callegari LS. Primary cesarean section and adverse delivery outcomes among women of very advanced maternal age. J Perinatol. 2016;36:272–7.CrossRef Richards MK, Flanagan MR, Littman AJ, Burke AK, Callegari LS. Primary cesarean section and adverse delivery outcomes among women of very advanced maternal age. J Perinatol. 2016;36:272–7.CrossRef
50.
Zurück zum Zitat Gilbert WM, Nesbitt TS, Danielsen B. Childbearing beyond age 40: pregnancy outcome in 24,032 cases. Obstet Gynecol. 1999;93:9–14.PubMed Gilbert WM, Nesbitt TS, Danielsen B. Childbearing beyond age 40: pregnancy outcome in 24,032 cases. Obstet Gynecol. 1999;93:9–14.PubMed
51.
Zurück zum Zitat Paulson RJ, Boostanfar R, Saadat P, Mor E, Tourgeman DE, Slater CC, et al. Pregnancy in the sixth decade of life: obstetric outcomes in women of advanced reproductive age. JAMA. 2002;288:2320–3 26 refs., KIE Bib: reproductive technologies; selection for treatment.CrossRef Paulson RJ, Boostanfar R, Saadat P, Mor E, Tourgeman DE, Slater CC, et al. Pregnancy in the sixth decade of life: obstetric outcomes in women of advanced reproductive age. JAMA. 2002;288:2320–3 26 refs., KIE Bib: reproductive technologies; selection for treatment.CrossRef
52.
Zurück zum Zitat Waldenström U, Ekéus C. Risk of labor dystocia increases with maternal age irrespective of parity: a population-based register study. Acta Obstet Gynecol Scand. 2017;96:1063–9.CrossRef Waldenström U, Ekéus C. Risk of labor dystocia increases with maternal age irrespective of parity: a population-based register study. Acta Obstet Gynecol Scand. 2017;96:1063–9.CrossRef
53.
Zurück zum Zitat Main DM, Main EK, Moore DH. The relationship between maternal age and uterine dysfunction: a continuous effect throughout reproductive life. Am J Obstet Gynecol. 2000;182:1312–20.CrossRef Main DM, Main EK, Moore DH. The relationship between maternal age and uterine dysfunction: a continuous effect throughout reproductive life. Am J Obstet Gynecol. 2000;182:1312–20.CrossRef
54.
Zurück zum Zitat Fruscalzo A, Londero AP, Salvador S, Bertozzi S, Biasioli A, Della Martina M, et al. New and old predictive factors for breech presentation: our experience in 14 433 singleton pregnancies and a literature review. J Matern Fetal Neonatal Med. 2014;27:167–72.CrossRef Fruscalzo A, Londero AP, Salvador S, Bertozzi S, Biasioli A, Della Martina M, et al. New and old predictive factors for breech presentation: our experience in 14 433 singleton pregnancies and a literature review. J Matern Fetal Neonatal Med. 2014;27:167–72.CrossRef
55.
Zurück zum Zitat Londero AP, Salvador S, Fruscalzo A, Bertozzi S, Biasioli A, Ceraudo M, et al. First trimester papp-a mom values predictive for breech presentation at term of pregnancy. Gynecol Endocrinol. 2013;29:503–7.CrossRef Londero AP, Salvador S, Fruscalzo A, Bertozzi S, Biasioli A, Ceraudo M, et al. First trimester papp-a mom values predictive for breech presentation at term of pregnancy. Gynecol Endocrinol. 2013;29:503–7.CrossRef
56.
Zurück zum Zitat Ballabh P. Intraventricular hemorrhage in premature infants: mechanism of disease. Pediatr Res. 2010;67:1–8.CrossRef Ballabh P. Intraventricular hemorrhage in premature infants: mechanism of disease. Pediatr Res. 2010;67:1–8.CrossRef
57.
Zurück zum Zitat Brosens I, Muter J, Gargett CE, Puttemans P, Benagiano G, Brosens JJ. The impact of uterine immaturity on obstetrical syndromes during adolescence. Am J Obstet Gynecol. 2017;217:546–55.CrossRef Brosens I, Muter J, Gargett CE, Puttemans P, Benagiano G, Brosens JJ. The impact of uterine immaturity on obstetrical syndromes during adolescence. Am J Obstet Gynecol. 2017;217:546–55.CrossRef
Metadaten
Titel
Maternal age and the risk of adverse pregnancy outcomes: a retrospective cohort study
verfasst von
Ambrogio P. Londero
Emma Rossetti
Carla Pittini
Angelo Cagnacci
Lorenza Driul
Publikationsdatum
01.12.2019
Verlag
BioMed Central
Erschienen in
BMC Pregnancy and Childbirth / Ausgabe 1/2019
Elektronische ISSN: 1471-2393
DOI
https://doi.org/10.1186/s12884-019-2400-x

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