| Literature DB >> 27814762 |
Stefano Palomba1, Roy Homburg2, Susanna Santagni3, Giovanni Battista La Sala3,4, Raoul Orvieto5,6.
Abstract
In the literature, there is growing evidence that subfertile patients who conceived after infertility treatments have an increased risk of pregnancy and perinatal complications and this is particularly true for patients who conceived through use of high technology infertility treatments. Moreover, high technology infertility treatments include many concomitant clinical and biological risk factors. This review aims to summarize in a systematic fashion the current evidence regarding the relative effect of the different procedures for high technology infertility treatments on the risk of adverse pregnancy and perinatal outcome. A literature search up to August 2016 was performed in IBSS, SocINDEX, Institute for Scientific Information, PubMed, Web of Science and Google Scholar and an evidence-based hierarchy was used to determine which articles to include and analyze. Data on prepregnancy maternal factors, low technology interventions, specific procedures for male factor, ovarian tissue/ovary and uterus transplantation, and chromosomal abnormalities and malformations of the offspring were excluded. The available evidences were analyzed assessing the level and the quality of evidence according to the Oxford Centre for Evidence-Based Medicine guidelines and the Grading of Recommendations Assessment, Development, and Evaluation system, respectively. Current review highlights that every single procedure of high technology infertility treatments can play a crucial role in increasing the risk of pregnancy and perinatal complications. Due to the suboptimal level and quality of the current evidence, further well-designed studies are needed.Entities:
Keywords: ART; Complications; Infertility; Obstetric; Pregnancy; Subfertility
Mesh:
Year: 2016 PMID: 27814762 PMCID: PMC5097409 DOI: 10.1186/s12958-016-0211-8
Source DB: PubMed Journal: Reprod Biol Endocrinol ISSN: 1477-7827 Impact factor: 5.211
Key words used to study the relationship between specific procedure of ARTs for female or couple infertility and obstetric and perinatal outcomes
| Intervention | Outcome |
|---|---|
| assisted reproductive technologies | antepartum hemorrhage |
| ART | children health |
| blastocyst | cesarean section |
| cleavage-stage | complication |
| controlled ovarian stimulation | delivery |
| controlled ovarian hyperstimulation | diabetes |
| embryo donation | gestational diabetes |
| embryo transfer | hypertension |
| extensive culture | hypertensive disorders |
| frozen-thawed | labor |
| gamete donation | maternal health |
| gestational carrier | mortality |
| gonadotropin | morbidity |
| infertility | multiple pregnancy |
| IVF | neonatal health |
| in vitro fertilization | neonatal complication |
| IVM | obstetric complication |
| in vitro maturation | offspring |
| oocyte donation | perinatal complication |
| ovarian stimulation | perinatal health |
| PGD | perinatal care |
| pre-implantation genetic diagnosis | placenta |
| pre-implantation genetic screening | placenta accreta |
| single embryo transfer | placenta previa |
| slow freezing | postpartum hemorrhage |
| sperm donation | preeclampsia |
| sterility | pregnancy |
| subfertility | pregnancy complication |
| surrogacy | pregnancy-induced hypertension |
| surrogate | prenatal care |
| vitrification |
Fig. 1PRISMA 2009 [13] flow diagram
Levels and quality of the evidences available about the relationship between specific procedure for ARTs and risk of the main obstetric and perinatal adverse outcomes
| Intervention | Outcome | Evidence | Risk measures | References | |
|---|---|---|---|---|---|
| Levela | Qualityb | ||||
| ART in singleton pregnancies | Compared to SCs, increased risk of: | ||||
| Antepartum hemorrhage | 3 | Moderate | RR 2.11, 95 % CI 1.86 to 2.38 | Qin et al., 2016 [ | |
| Placental abruption | 3 | Moderate | RR 1.83, 95 % CI 1.49 to 2.24 | Qin et al., 2016 [ | |
| Postpartum hemorrhage | 3 | Moderate | RR 1.29, 95 % CI 1.06 to 1.57 | Qin et al., 2016 [ | |
| Peripartum hysterectomy | 3 | Moderate | aOR 5.98, 95 % CI 2.18 to 16.40 | Cromi et., 2016 [ | |
| GDM | 3 | High | RR 1.31, 95 % CI 1.13 to 1.53 | Qin et al., 2016 [ | |
| PIH/PE | 3 | Moderate | RR 1.49, 95 % CI 1.39 to 1.59 | Pandey et al., 2012 [ | |
| PTB | 3 | High | RR 1.71, 95 % CI 1.59 to 1.83 | Qin et al., 2016 [ | |
| Cesarean section | 3 | Moderate | RR 1.58, 95 % CI 1.48 to 1.70 | Qin et al., 2016 [ | |
| Perinatal mortality | 3 | High | RR 1.64, 95 % CI 1.41 to 1.90 | Qin et al., 2016 [ | |
| SGA | 3 | High | RR 1.35, 95 % CI 1.20 to 1.52 | Qin et al., 2016 [ | |
| ART in multiple pregnancies | Compared to SCs, increased risk of: | ||||
| Premature rupture of membranes | 3 | Moderate | RR 1.20, 95 % CI 1.05 to 1.37 | Qin et al., 2015 [ | |
| PIH | 3 | Moderate | RR 1.11, 95 % CI 1.04 to 1.19 | Qin et al., 2015 [ | |
| GDM | 3 | Moderate | RR 1.78, 95 % CI 1.25 to 2.55 | Qin et al., 2015 [ | |
| PTB | 3 | Moderate | RR 1.08, 95 % CI 1.03 to 1.14 | Qin et al., 2015 [ | |
| LBW | 3 | Moderate | RR 1.04, 95 % CI 1.01 to 1.07 | Qin et al., 2015 [ | |
| Compared to SCs, no difference in: | |||||
| Perinatal mortality (in dichorionic twins) | 3 | Low | RR 1.38, 95 % CI 0.83 to 2.30 | Qin et al., 2016 [ | |
| Number of embryos transferred | SET vs. DET, no difference in: | ||||
| PTB | 3 | Low | aOR 0.83, 95 % CI 0.64 to 1.06 | Pinborg et al., 2013 [ | |
| VTS in IVF/ICSI patients | Compared to VTS in NCs, increased risk of: | ||||
| GDM | 3 | Low | aOR 3.0, 95 % CI 1.6 to 5.6 | Marton et al., 2016 [ | |
| IUGR | 3 | Low | aOR 3.0, 95 % CI 1.8 to 5.2 | Marton et al., 2016 [ | |
| PE | 3 | Low | aOR 1.6, 95 % CI 0.7 to 6.1 | Marton et al., 2016 [ | |
| LBW | 3 | Low | aOR 4.0, 95 % CI 1.8 to 7.1 | Marton et al., 2016 [ | |
| COH | CC-IVF vs. natural-cycle IVF, increased risk of: | ||||
| LBW | 3 | Low | aOR 2.09, 95 % CI 1.34 to 3.33 | Nakashima et al., 2013 [ | |
| Hyperc vs. normal response, increased risk of: | |||||
| LBW | 3 | Very Low | aOR 1.17, 95 % CI 1.05 to 1.30 | Sunkara et al., 2015 [ | |
| PTB | 3 | Very Low | aOR 1.15, 95 % CI 1.03 to 1.28 | Sunkara et al., 2015 [ | |
| Poord vs. normal response, no differences in: | |||||
| LBW | 3 | Very Low | aOR 0.92, 95 % CI 0.79 to 1.06 | Sunkara et al., 2015 [ | |
| PTB | 3 | Very Low | aOR 0.88, 95 % CI 0.76 to 1.01 | Sunkara et al., 2015 [ | |
| Blastocyst state of ET | Compared to cleavage-state, increased risk of: | ||||
| PTB | 3 | Very Low | aOR 1.39, 95 % CI 1.29 to 1.50 | Kalra et al., 2012 [ | |
| VPTB | 3 | Very Low | aOR 1.35, 95 % CI 1.13 to 1.61 | Kalra et al., 2012 [ | |
| LGA | 3 | Low | aOR 2.22, 95 % CI 1.14 to 4.34 | Mäkinen et al., 2013 [ | |
| Frozen-thawed ET | Compared to fresh-ET, reduced risk of: | ||||
| LBW | 3 | Low | RR 0.69, 95 % CI 0.62 to 0.76 | Maheshwari et al., 2012 [ | |
| PTB | 3 | Low | RR 0.84, 95 % CI 0.78 to 0.90 | Maheshwari et al., 2012 [ | |
| SGA | 3 | Low | RR 0.45, 95 % CI 0.30 to 0.66 | Maheshwari et al.,2012 [ | |
| Compared to fresh-ET, increased risk of: | |||||
| Placenta accreta | 3 | Low | aOR 3.16, 95 % CI 1.71 to 6.23 | Ishihara et al., 2014 [ | |
| PIH/PE | 3 | Low | aOR 1.58, 95 % CI 1.35 to 1.86 | Ishihara et al., 2014 [ | |
| LGA | 3 | Moderate | aOR 1.54, 95 % CI 1.31 to 1.81 | Pinborg et al., 2014 [ | |
| Macrosomia | 3 | Moderate | aOR 1.64, 95 % CI 1.26 to 2.12 | Pinborg et al., 2014 [ | |
| Vitrified oocytes | Compared to fresh oocytes, no differences in: | ||||
| GDM | 3 | Very low | aOR 0.86, 95 % CI 0.56 to 1.31 | Cobo et al., 2014 [ | |
| PIH | 3 | Very low | aOR 0.84, 95 % CI 0.59 to 1.20 | Cobo et al., 2014 [ | |
| LBW | 3 | Very low | aOR 1.06, 95 % CI 0.78 to 1.42 | Cobo et al., 2014 [ | |
| PTB | 3 | Very low | aOR 0.70, 95 % CI 0.50 to 1.00 | Cobo et al., 2014 [ | |
| Vitrified embryos (blastocysts) | Compared to fresh-blastocysts, reduced risk of: | ||||
| LBW | 3 | Very low | aRR 0.67, 95 % CI 0.58 to 0.78 | Li et al., 2014 [ | |
| PTB | 3 | Very low | aRR 0.86, 95 % CI 0.77 to 0.96 | Li et al., 2014 [ | |
| SGA | 3 | Very low | aRR 0.60, 95 % CI 0.53 to 0.68 | Li et al., 2014 [ | |
| IVM of oocytes | Compared to in vivo matured oocytes (vs. IVF and vs. ICSI), no differences in: | ||||
| LBW | 3 | Very low | 3 % vs. 10 % vs. 14 % ( | Buckett et al., 2007 [ | |
| PTB | 3 | Very low | 38 % vs. 30 % vs. 36 % ( | Buckett et al., 2007 [ | |
| PGD | Blastocyst biopsy and frozen ET vs. cleavage-stage biopsy and fresh ET, increased risk of: | ||||
| PIH | 4 | Very low | aOR 4.85, 95 % CI 1.34 to 17.56 | Jing et al., 2016 [ | |
| Oocyte donation | Compared to autologous oocyte in IVF singletons, increased risk of: | ||||
| PIH | 3 | Moderate | aOR 2.30, 95 % CI 1.60 to 3.32 | Storgaard et al., 2016 [ | |
| PE | 3 | Moderate | aOR 2.11, 95 % CI 1.42 to 3.15 | Storgaard et al., 2016 [ | |
| PTB | 3 | Moderate | aOR 1.75, 95 % CI 1.39 to 2.20 | Storgaard et al., 2016 [ | |
| LBW | 3 | Moderate | aOR 1.53, 95 % CI 1.16 to 2.01 | Storgaard et al., 2016 [ | |
| Postpartum hemorrhage | 3 | Low | aOR 2.40, 95 % CI 1.49 to 3.88 | Storgaard et al., 2016 [ | |
| Sperm donation | Singletons with donor semen vs.singletons with partner semen, increased risk of: | ||||
| PE | 3 | Very low | 18.2 % vs. 0 % ( | Salha et al., 1999 [ | |
| Embryo donation | NA | ||||
| Gestational carrier | Surrogate singletons vs. control IVF-singleton pregnancies, no differences in: | ||||
| PTB | 4 | Low | 0–11.5 % vs. 14 % ( | Söderström-Anttila et al., 2016 [ | |
| LBW | 3 | Low | 0–11.1 % vs. 13.6–14.0 % ( | Söderström-Anttila et al., 2016 [ | |
aRR adjusted relative risk, aOR adjusted odds ratio, ART assisted reproductive technologies, CC clomiphene citrate, COH controlled ovarian hyperstimulation, DET double embryo transfer, EPTB early preterm birth, ET embryo transfer, GDM gestational diabetes mellitus, IUI intrauterine insemination, IVM in vitro maturation, LBW low birth weight, LGA large for gestational age, LTIFE low technology interventions for fertility enhancement, NA not available data, NC natural conception, NP not performed, NS not significant, PE preeclampsia, PGD pre-implantation genetic diagnosis, PIH pregnancy-induced hypertension, PTB preterm birth, RR relative risk, SET single embryo transfer, SGA small for gestational age, VLBW very low birth weight, VTS vanishing twin syndrome
aassessed following the Oxford Centre for Evidence-Based Medicine (OCEM) - Levels of Evidence 2011 guidelines [14]
bassessed using the Grading of Recommendations Assessment, Development, and Evaluation (GRADE) system [15]
cmore than 20 oocytes
dless or equal to 3 oocytes
Specific biases, confounders and limitations present and/or declared in the available studies
| Study | Design | Biases | Confounders | Limitations |
|---|---|---|---|---|
| Qin et al., 2016 [ | Meta-analysis of 50 cohort studies | Little evidence of publication bias. | 22 % of the included studies did not adjust and/or match any factors (i.e. maternal age, education, parity, race, occupation, smoking during pregnancy, socioeconomic status, etc.) when estimating the effect of ART singletons on obstetric outcomes. | - Patients who achieved a pregnancy with OI and IUI have been considered in the NC category. |
| Cromi et al., 2016 [ | Case–control study | The study reports the experience of a tertiary referral center; therefore, this factor may have inflated the observed rates of peripartum hysterectomy. | The control populations have not been separated into two groups (normal fertile couples and infertile couples who conceive without treatment) to determine the degree to which observed associations are specifically related to the ART procedures vs. infertility per se. | - Detailed information on the infertility treatments was not available. |
| Pandey et al., 2012 [ | Review of 20 matched cohort studies and 10 unmatched cohort studies | Ascertainment bias with the findings of increased complications with IVF/ICSI; i.e. women may be more anxious following fertility treatment and therefore more likely to report problems. | The quality of most of the studies was high and they have adjusted for most important confounders of age and parity. | - Some authors excluded pregnancies resulting from ovulation induction whereas others were not able to identify them from all non-IVF/ICSI conceptions. |
| Qin et al., 2015 [ | Meta-analysis of 39 cohort studies | - No evidence of publication bias among studies of ART and risk of adverse outcomes. | - Some included studies have considered pregnancies arising after OI and IUI to be in the spontaneously generated category. | |
| Qin et al., 2016 [ | Meta-analysis of 15 cohort studies | No evidence of publication bias. | 26.7 % of the studies did not adjust and/or match any factors | - More than half of the included studies had a small sample size. |
| Pinborg et al., 2013 [ | Meta-analysis of 3 studies (for the considered outcome: PTB in SET vs. DET) | Subfertility per se is a bias and it cannot be prevented directly. | Vanishing twin pregnancies involve about 10 % of pregnancies with a DET-only strategy, leading to growth disturbances and to non-optimal perinatal outcomes among ART singletons. | |
| Marton et al., 2016 [ | Longitudinal, retrospective cohort study | The focus was not on procedure specifics, even if each artificial procedure has profound effect on the splitting of the zygote, which represents a bias in the comparison of spontaneous and IVF–ICSI VT-pregnancies. | The relatively low incidence of VTS denotes the low power of the statistical analyses. | |
| Nakashima et al., 2013 [ | Retrospective study based on national registry | The effect of the subfertility has not been prevented. | The dataset had information on few confounders. | Detailed information on the infertility treatments was not available. |
| Sunkara et al., 2015 [ | Prospective cohort study | The effect of the different gonadotropin dosages has not been excluded. | The dataset had no information on important confounders such as smoking, BMI and the medical history of women during pregnancy. | - The dataset did not allow specific identification of women with PCOS and its anonymized nature did not make it permissible to analyze one cycle per woman. |
| Kalra et al., 2012 [ | Retrospective cohort study | To attempt to control selection bias, subanalyses were performed. | - Adjusted analyses were performed and included variables that were considered clinically important, because they are associated with adverse outcome. | |
| Mäkinen et al., 2013 [ | Retrospective cross-sectional cohort study | The effect of the subfertility has not been prevented. | - The study was not adjusted for smoking and for gonadotropin doses. | Lack of control of the duration of infertility. |
| Maheshwari et al., 2012 [ | Systematic review and meta-analysis of 11 cohort studies | Patients who have had fresh cycle may be different from those who had frozen replacement cycles. | Data not adjusted for confounders such as age, smoking, parity, duration of infertility, and pre-existing medical illness due to varied design of the studies | - This review is limited to data from observational studies |
| Ishihara et al., 2014 [ | Retrospective study based on national registry | The different protocols and criteria for the use of frozen ET and blastocyst transfer potentially could bias the data. | The Japanese registry is cycle based with complete anonymity, therefore, it is impossible to know the detailed background of the patients who underwent ART, e.g., gravidity, parity, previous uterine surgery, etc. | - Wide variability of data compiled from almost 600 clinics that are different in size, location, and other characteristics. |
| Pinborg et al., 2014 [ | National register-based controlled cohort study with meta-analysis | A bias is very unlikely as data coding was based on national registers | The data were not adjusted for confounding factors, such as maternal BMI and GDM. | The size of the frozen ET/fresh sibling cohort was limited. |
| Cobo et al., 2014 [ | Retrospective cohort study | To avoid any selection bias, the study included the entire population of women from the two analyzed cohorts as were originally present in the Clinic. | - The study analyzed all the births for which there was notification, and not the whole series of IVF/ICSI pregnancies achieved in the Institution during the study period. | |
| Li et al., 2014 [ | A population-based cohort study | The effect of the subfertility has not been prevented. | The study used each treatment cycle as the unit of analysis where one woman could be included in both fresh and thaw cycles. | - Lack of information available on clinical-specific cryopreservation protocols and processes for slow freezing-thaw and vitrification-warm of blastocysts and the potential impact on outcomes. The lack of consistent cryopreservation protocols and comparison of embryo qualities might over-estimate the successful rate of vitrification and under-estimate the successful rate of slow freezing of blastocysts. |
| Buckett et al., 2007 [ | Observational study | Risk of an ascertainment bias. | The database includes women with PCOS and the effect on birth weight may be a result of the inherent PCOS, rather than as a direct result of the treatment modality. | - Retrospective design. |
| Jing et al., 2016 [ | Retrospective cohort study | The effect of the subfertility has not been prevented. | To reduce the significant differences in genetic disorders, number of transferred embryos, methods of genetic testing, and vanishing twin between the two groups a logistic regression was applied in the study. | - Retrospective design. |
| Storgaard et al., 2016 [ | Systematic review with meta-analysis of 22 cohort studies and 13 annual report of ASRM | The effect of the subfertility has not been tested. | - OD patients are very heterogeneous regarding age, inheritance and infertility history. | - To ensure reliable results only studies of high and medium quality were included in the meta-analyses (of the 21 included cohort studies comparing an OD group to a control group only two were of high quality and 11 were of medium quality). |
| Salha et al., 1999 [ | Retrospective cohort study | The effect of the subfertility has not been prevented. | To limit the confounding variables, women who conceived with donated gametes were compared to age- and parity-matched controls from similar demographic backgrounds who conceived with their own gametes. | - Retrospective design. |
| Söderström-Anttila et al., 2016 [ | Systematic review of observational studies (cohort studies and case-series) | Cohort studies, but not case series, were assessed for methodological quality, in terms of risk of bias. | - Lack of high quality studies. |
ART assisted reproductive technologies, ASRM American society of reproductive medicine, BMI body mass index, DET double embryo transfer, ET embryo transfer, GDM gestational diabetes mellitus, ICSI intracytoplasmic sperm injection, IUI intrauterine insemination, IVF in vitro fertilization, NC natural conception, OD oocyte donation, OI ovulation induction, PE preeclampsia, PIH pregnancy-induced hypertension, SET single embryo transfer, VTS vanishing twin syndrome