Literature DB >> 29486787

The correlation between raised body mass index and assisted reproductive treatment outcomes: a systematic review and meta-analysis of the evidence.

Prasanna Raj Supramaniam1, Monica Mittal2, Enda McVeigh3, Lee Nai Lim2.   

Abstract

BACKGROUND: Public funding for fertility services within the United Kingdom is limited, and therefore, strict guidance exists regarding who can be offered treatment under the National Health Service (NHS). Body mass index (BMI) is a universal criteria adopted by both the public and private sector. This study addresses an important aspect of the impact of a raised BMI on fertility treatment outcomes. We standardise the analysis of the data by only including studies incorporating the WHO BMI criteria; the current reference point for clinicians and clinical commissioning groups in ascertaining which group of patients should receive treatment. This study is an update of the previous systematic review performed in 2010, with the inclusion of a larger number of cycles from central databases such as the Society for Assisted Reproductive Technology (SART).
METHODS: An electronic literature search was conducted through the Cochrane, Medline and Embase libraries. Data extraction for each outcome measure was pooled and expressed as an odds ratio with 95% confidence intervals. Where clinical heterogeneity was evident, the random effects model was used to calculate the risk ratio and a fixed effects model was used for the remaining studies. A p value < 0.05 was considered statistically significant.
RESULTS: A total of 49 studies have been identified and included in this systematic review. Overweight and obese (BMI ≥ 25 kg/m2) women have a statistically significant lower live birth rate (OR 0.81, 95% CI 0.74-0.89, p < 0.00001) following Assisted Reproductive Technology (ART) when comparisons are drawn to women with a normal BMI. An increase is also demonstrated in the number of miscarriages experienced by women with a BMI ≥ 30 kg/m2 (OR 1.52, 95% CI 1.28-1.81, p < 0.00001).
CONCLUSION: Although this review concludes that a clear impact of BMI on ART outcomes is demonstrated, there remains questions as to the pathophysiology underlying these differences. This review supports the government's stringent criteria regarding BMI categories under which NHS funding is made available for ART, through a clear description of poor reproductive outcomes in women with a BMI ≥ 30 kg/m2.

Entities:  

Keywords:  Assisted reproductive technology (ART); Body mass index (BMI); Obese; Overweight

Mesh:

Year:  2018        PMID: 29486787      PMCID: PMC5830337          DOI: 10.1186/s12978-018-0481-z

Source DB:  PubMed          Journal:  Reprod Health        ISSN: 1742-4755            Impact factor:   3.223


Plain English summary

This study highlights the impact of an overweight or obese female partner on fertility treatment outcomes, in particular focusing on IVF. Women who are overweight or obese have been shown to be less likely to have a life birth outcome from an IVF cycle. They are also more likely to suffer from early miscarriages whilst undergoing fertility treatments.

Main manuscript

The correlation between raised body mass index and assisted reproductive treatment outcomes: A systematic review and meta-analysis of the evidence.

Background

Obesity is a major challenge for today’s clinicians. In 2016, the World Health Organisation (WHO) [1] stated that a staggering 39% of adults aged > 18 years fell into the overweight category, of which 40% were accounted for by women. Furthermore, 13% of the adult population were documented to be obese, with women accounting for 15% (WHO Global Health Observatory Data 2016). A raised body mass index (BMI) has been linked to a number of medical comorbidities, as well as being implicated in having a detrimental impact on the reproductive capacity of women in particular. Women who fall into high BMI categories can present with hypothalamic-pituitary ovarian dysfunction and thus, low fecundity rates. In 2011, Rittenberg et al., [2] concluded that women with a BMI ≥ 25.0 kg/m2 had a lower live birth rate through assisted reproductive treatments (ART) compared with women of a normal BMI. This has been further supported by multiple large studies evaluating the impact of BMI on ART outcomes. The WHO classification of BMI is widely referred to, and provides standardisation for comparison of research outcomes. A documented BMI of 18.5–24.9 kg/m2 is considered normal and healthy and the preferred range. A BMI of 25–29.9 kg/m2 refers to overweight and a BMI ≥ 30 kg/m2 is considered obese. The latter range is further subdivided into Class 1 (30.0–34.9 kg/m2), Class 2 (35.0–39.9 kg/m2) and Class 3 (≥ 40.0 kg/m2). This paper, considers the current evidence regarding the impact of raised BMI on outcomes following ART treatment. A systematic review and meta-analysis of the available evidence will help provide or refute the current recommendations from the government regarding the allocation of resources for fertility treatment.

Methods

Search strategy

Literature searches were conducted through the Cochrane, Embase and Medline libraries (1966–2017). The medical subject headings (MeSH) were generated for two categories: 1. Body mass index (BMI, overweight, obesity); 2. in vitro fertilisation (IVF)/ intracytoplasmic sperm injection (ICSI) (embryo, embryo transfer, ART). All identified papers were reviewed by two authors (PRS and MM) independently. All discrepancies, regarding inclusion or exclusion of the data were discussed with a final decision mutually agreed upon.

Study inclusion and exclusion criteria

All relevant published studies reporting on the effects of BMI on IVF and ICSI pregnancy outcomes were included. Studies that reported donor cycles, conception by natural cycles, intrauterine insemination, waist hip ratio, and non-WHO classification of BMI were excluded. In addition, studies reporting on the effects of paternal body mass index on IVF/ ICSI outcomes were also excluded.

Outcome measures

The primary outcome measure assessed was live birth rate following an IVF/ ICSI cycle. Secondary outcome measures included: clinical pregnancy rate; and, miscarriage rate. The presence of a gestational sac on an ultrasound scan at least four weeks following on from an embryo transfer was used as confirmation for a clinical pregnancy. The clinical pregnancy rate was calculated per IVF/ ICSI cycle. For the purpose of this review, miscarriage was defined as pregnancy loss ≤ 20 weeks gestation. The miscarriage rate was calculated per clinical pregnancy.

Statistical analysis

Data extraction for each outcome measure was pooled and expressed as an odds ratio (OR) with a 95% confidence interval (CI). Clinical heterogeneity (I2) [3] was considered significant when the I2 value was < 50%. Where clinical heterogeneity was evident, the random effects model (DerSimonian and Laird, 1986) was used to calculate the risk ratio, and clinical heterogeneity was explored by comparing the variation in studies, such as, study design, study quality and interventions. Particular care was taken to further evaluate studies with similar first authors to avoid heterogeneity in the study population. For the remaining pooled data, the fixed effect model [4] was used to calculate the risk ratio. Statistical analysis was performed using the RevMan 5.3 software. A p value < 0.05 was considered statistically significant.

Results

The search strategy yielded 7458 electronic citations (Fig. 1). Of this, 2830 were removed secondary to duplications. Titles and abstracts were reviewed for the remaining 4628 publications. After screening of the titles and abstracts, 4508 publications were further excluded. Full manuscripts were obtained for the remaining 120 articles. A further 16 articles were excluded as they did not use the WHO classification for BMI categories. A further 55 articles were excluded as per the inclusion exclusion criteria. The remaining 49 articles met all requirements and were included in this systematic review and meta-analysis (Table 1).
Fig. 1

Flow chart for literature search and study selection

Table 1

Details of included studies

StudyMethodology (population size)InterventionExclusion CriteriaBMI Categories (kg/m2) and numbersOutcome Measures
Fedorcsak et al. 2000 [8] (1996–1998)Retrospective Cohort study (383 women)IVF/ICSI12 patients excluded as incomplete data< 25.0 (304 women)≥25.0 (79 women)Live birth rateFertilization rateNo of oocytes retrievedAbortion rate
Wittemer et al. 2000 [9](1997–1998)Retrospective study(398 women)IVF/ICSINone stated< 20.0 (87 women)20.0–25.0 (222 women)≥ 25.0 (89 women)Pregnancy rateDelivery rateMiscarriage rate
Wang et al. 2000 [10] (1987–1998)Retrospective study(3586 women)IVF/ICSI and GIFTNone stated< 20.0 (441 women)20.0–24.9 (1910 women)25.0–29.9 (814 women)30.0–34.9 (304 women)≥35.0 (117 women)Probability of achieving at least one pregnancy
Loveland et al.2001 [11](1997–1999)Retrospective study(139 women / 180 cycles)IVFWomen > 40 years of age, blastocyst or frozen embryo transfer, donor cycles≤25 (70 women / 87 cycles)> 25 (69 women / 93 cycles)Number of oocytesClinical pregnancy rateSpontaneous abortionOngoing pregnancy rate
Wang et al. 2001 [12] (1987–1999)Cohort study(1018 women)IVF/ICSI/GIFTWomen whose BMI or PCOS status was not assessed< 20.0 (112 women)20.0–24.9 (509 women)25.0–29.9 (231 women)30.0–34.9 (116 women)≥35.0 (50 women)Spontaneous abortion
Wang et al. 2002 [13](1987–1999)Retrospective analysis(2349 women)IVF/ICSI/GIFTEctopic pregnancy, late pregnancy, women whose BMI was measured >/= 1 year before pregnancy< 18.5 (70 women)18.5–24.9 (1508 women)25–29.9 (503 women)30–34.9 (198 women)≥35 (70 women)Spontaneous miscarriage
Winter et al. 2002 [14] (1994–1999)Cohort(1123 women / 1196 cycles)IVF/ICSI/GIFT< 18.5 (26 women)18.5–25.0 (701 women)25.1–30.0 (243 women)30.1–35.0 (107 women)> 35.0 (46 women)Early pregnancy loss
Doody et al.2003 [15](2000–2003)Retrospective analysis(822 retrievals)IVF/ICSIDonor cycles, age > 40 years< 25 (460 women)25–29.9 (194 women)30–34.9 (89 women)> 35 (79 women)Pregnancy rateImplantation rateNo of oocytesNo of embryos transferredOngoing pregnancy rate
Fedorscak et al. 2004 [16](1996–2002)Retrospective Study(2660 women / 5019 cycles)IVF/ICSINone stated< 18.5 (76 women/136 cycles)18.5–24.9 (1839 women/3457 cycles)25.0–29.9 (504 women/963 cycles)≥30.0 (241 women/463 cycles)No of oocytes collectedNo of embryo transferredNo of embryo transfersNo of biochemical pregnanciesEarly pregnancy lossMiscarriage (6–12 weeks), (> 12 weeks)Ectopic pregnancy StillbirthLive birth rateDose of FSHDuration of FSH
Ryley et al.2004 [17]Retrospective study(6827 cycles)IVFWomen with BMI > 40< 20.0 (466 cycles)20.0–24.9 (3605 cycles)25.0–29.9 (1632 cycles)30.0–34.9 (724 cycles)=35 (400 cycles)Clinical pregnancy rateNo of oocytes
Van Swieten et al. 2005 [18]Observational(162 women/ 288 cycle)IVF/ICSINone stated< 25 (101 women)25–30 (32 women)> 30 (29 women)Fertilisation rateNo oocytes retrievedClinical pregnancy rateAbortion rate
Hammadeh et al. 2005 [19]Prospective(52 women)IVFNone stated≤25.0 (28 women)> 25.0 (24 women)Pregnancy rate
Dechaud et al. 2006 [20]Prospective study(573 women/ 789 cycles)IVF/ICSIWomen with a history of uterine surgery, hydrosalpinges evidenced by ultrasonography, three or more failed attempts at IVF, frozen-thawed cycles, women undergoing pre-implantation diagnosis and those using a protocol other than the long protocol< 20 (186 women/ 264 cycles)20–25 (283 women/ 394 cycles)25–30 (68 women/ 83 cycles)≥30 (36 women/ 48 cycles)Duration of ovarian stimulationDose of FSHImplantation rateNo of oocytesFertilization rateClinical pregnancy rateMiscarriage rate
Dokras et al.2006 [21](1995–2005)Retrospective Study(1293 women)IVF/IVF with ICSIWomen > 38 years of age, day 2 transfer cycles, cryopreserved embryo transfers, donor oocyte cycle, gamete intrafallopian transfer and zygote intrafallopian transfer cycles< 25 (683 women)25–29.9 (295 women)30.0–39.9 (236 women)≥40 (79 women)No of follicles aspiratedFertilization rateNo of embryo(s) transferredClinical pregnancy rateMiscarriage rateDelivery rateDays of stimulation
Mitwally et al. 2006 [22]Cohort(183 cycles)IVFNone stated< 25.0 (102 cycles)≥25.0 (81 cycles)Clinical pregnancy rate
Metwally 2007 [23](2001–2006)Retrospective analysis(426 women)IVF/ICSICycles on women whose BMI was unrecorded19–24.9 (241 women)25–29.9 (113 women)≥30 (72 women)Fertilization rateClinical pregnancy rateDose of FSHDuration of FSHNo of oocytes collected
Esinler et al. 2008 [24]Retrospective Study(775 women/ 1113 cycles)ICSIFreeze-thaw cycles, female age > 40, presence of PCOS, history of irregular menstrual cycle and suspected poor ovarian response18.5–24.9 (451 women/ 627 cycles)25.0–29.9 (222 women/ 339 cycles)≥30.0 (102 women/ 147 cycles)Clinical pregnancy rateFertilization rateNo of miscarriagesNo of oocytesDose of FSHDuration of FSH
Martinuzzi et al. 2008 [25](2004–2006)Retrospective study(417 women)IVFWomen > 36 years of age, cycle day-3< 18.5 (21 women)18.5–24.9 (267 women)25.0–29.9 (77 women)≥30 (52 women)No of oocytesFertilization rateImplantation rateClinical pregnancy rateOngoing pregnancy rate
Moini et al.2008 [26](2002–2003)Cross-sectional study(287 women)IVF/ICSIWomen who did not have polycystic ovary syndrome, age > 40 years, BMI < 20, women with hypo/hyperthyroidism, hyperprolactinemia and diabetes type 120–25 (133 women)25.1–30 (117 women)> 30 (37 women)No of oocytesNo of transferred embryosClinical pregnancy rateMiscarriage rate
Sneed et al.2008 [27](2005–2006)Retrospective analysis(1273 women)IVFFrozen cycles, donor oocyte or gestational surrogacy cycles, age > 44 years< 18.5 (28 women)> 18.5–24.9 (613 women)> 25–29.9 (325 women)> 30 (307 women)No of oocytesNo of embryo transfersFertilization rateImplantation rateSpontaneous abortionClinical pregnanciesLive birth rate
Ozgun et al. 2009 [28](2006–2007)Prospective study(604 women)ICSIWomen > 42 years old, medical co-morbidities such as diabetes mellitus, hyper or hypothyroidism, basal FSH > 15 IU/L, thawed embryo transfer cycles, history of prior ovarian surgery, poor responders, couples with more than one etiology for their infertility< 18.5 (10 women)18.5–24.9 (232 women)25–29.9 (229 women)30–35.9 (111 women)≥36 (22 women)No of PregnancyTotal FSH dosage
Sathya et al.2010 [29]Retrospective study(308 women)IVFWomen > 40 years of age, FSH > 10 mIU/ml< 25 (88 women)25–30 (147 women)> 30 (73 women)No of embryos transferredClinical pregnancy rateMissed abortion rateMultiple pregnancy rateEctopic pregnancy rateImplantation rateGonadotrophin dosage
Zhang et al. 2010 [30] (2002–2008)Retrospective study(2628 women)IVF/ICSIPatients with severe endometriosis (lll and IV stage) diagnosed by laparoscopy, more than two failed previous attempts, preimplantation diagnosis cycles, frozen thawed cycles, protocols other than the long protocol18.5–24.9 (2222 women)25.0–29.9 (379 women)≥30.0 (27 women)No of oocytesFertilization ratePregnancy rateEarly pregnancy loss rateEctopic pregnancyMiscarriage rateLive birth rateDays of FSH stimulationDosage of FSH stimulationOngoing pregnancy rate
Bellver et al. 2010 [31](2001–2007)Retrospective study(6500 cycles)IVF/ICSINone stated< 20 (669 women / 1070 cycles)20–24.9 (2620 women/ 3930 cycles)25–29.9 (676 women/ 1081 cycles)≥ 30 (262 cycles/ 419 cycles)Total dose of gonadotrophinNo of oocytesFertilization rateNo of embryos transferredImplantation ratePregnancy rateClinical pregnancy rateClinical and global miscarriage rateLive birth rate
Vilarino et al.2010 [32](2008)Retrospective(208 cycles/ 191 women)IVF/ICSIFrozen and donor oocyte-derived cycles< 25 (137 cycles)≥25 (71 cycles)Fertilisation rateNo of transferred embryosPregnancy rateEarly pregnancy lossClinical miscarriage rateEctopic pregnancyLive birth rateDosage of FSH
Farhi et al. 2010 [33](2006–2007)Retrospective study(233 women/ 233 cycles)IVFWomen ≥38 years of age, other than 2 high-quality embryos, ≥3 previous IVF attempts, women with hydrosalpinx, fibroid uterus, congenital uterine anomaly and chronic illness≤25.0 (160 women)> 25.0 (73 women)Live birth ratePregnancy rateNo of oocytesFertilization rate
Davies et al. 2010 [34] (2008–2009)232 cyclesIVFDonor egg, gestational carrier and pre-implantation genetic diagnosis cycles< 25.0 (176 cycles)> 25.0 (56 cycles)Fetal heartbeat rates
Funabiki et al. 2011 [35] (2006–2010)Retrospective study(859 women)IVFNone stated< 18.5 (152 women)18.5–25.0 (648 women)≥25.0 (59 women)Pregnancy rateOngoing pregnancy rateMiscarriage rateNo of oocytes
Hill et al. 2011 [36]Prospective study(117 women)IVFWomen > 42 years of age, patients with elevated FSH levels (≥12 mIU/mL)< 25.0 (58 women)≥25.0 (59 women)< 30.0 (96 women)≥30.0 (21 women)Live birth ratePregnancy rateImplantation rateNo of oocytesNo of embryo transferredDays of stimulation
Pinborg et al. 2011 [37](2005–2006)Cohort study(487 women/ 1417 cycles)IVF/ ICSI/ FETPatients undergoing intrauterine insemination cycles, patients with an existing child from fertility treatment, couples who had adopted a child in the 12th month follow-up period and couples who had no treatment during the first 12 months of follow up< 18.5 (20 women)18.5–24.9 (305 women)25.0–29.9 (103 women)≥30.0 (59 women)Fertilization rateNo of oocytesBiochemical pregnancy rateEctopic pregnancy rateOngoing pregnancy rateMiscarriage rateLive birth rateDose of gonadotrophin stimulation
Parker et al. 2011 [38](2010–2011)Retrospective study(995 patients)IVF/ICSINone stated< 18.5 (18 women)18.5–24.9 (475 women)25–29.9 (241 women)> 30 (221 women)No of oocytesClinical pregnancy rateImplantation rateOngoing pregnancy rateTotal FSH dosageNo of embryo transferred
Rittenberg et al. 2011 [39](2006–2010)Cohort Study (413 women)IVF/ICSIWomen > 40 years, BMI < 18.5, BMI > 35, pre-implantation genetic diagnosis, donor oocyte or embryos frozen for fertility preservation prior to cancer therapy cycles, mullerian duct anomalies, monozygotic twin gestations18.5–24.9 (192 women)≥25 (133 women)Oocyte fertilisation rateNo of oocytesClinical pregnancy rateLive birth rateMiscarriage rateDuration of stimulation
Singh et al.2011 [40](2008–2010)Retrospective Study(328 women/ 342 cycles)IVF/ICSIWomen with confounding factors for poor response, endometrial pathologies, hydrosalpinx, ≥3 previous failed attempts, frozen thawed cycles< 18.5 (26 women)18.5–24.9 (141 women)25–29.9 (131 women)> 30 (18 women)Fertilisation ratePregnancy rateTotal dose of FSHTotal days of stimulationNo of oocytes retrievedFertilization rateClinical pregnancy rate
Luke et al.2011 [41](2007–2008)Historical cohort study(152,500 cycles)IVFWomen whose height and weight were not recorded, gestational carrier cycles, research or embryo banking with no outcome reported< 18.5 (4254 cycles)18.5–24.9 (86,860 cycles)25–29.9 (35,452 cycles)30.0–34.9 (15,406 cycles)35.0–39.9 (6920 cycles)40.0–44.9 (2513 cycles)45.0–49.9 (805 cycles)Pregnancy rateFetal death or stillborn
Chavarro et al. 2012 [42](2004–2011)Prospective study(170 women/ 233 cycles)IVF/ICSIWomen < 18 and > 45 years of age< 20 (22 women)20–22.4 (47 women) 22.5–24.9 (42 women) 25–29.9 (35 women) ≥30 (24 women)Clinical pregnancy rate Total gonadotrophin doseFertilization rateClinical pregnancy rateLive birth rate
Galal et al. 2012 [43]Prospective cohort(220 women)ICSINone stated< 25.0 (110 women)> 25.0 (110 women)No of oocytesFertilization rateClinical pregnancy rateNo of embryos transferred
Werner et al. 2012 [44] (2008–2012)Retrospective study(355 women)IVFNone stated< 18.5 (13 women)18.5–24.9 (209 women)25.0–29.9 (88 women)> 30.0 (45 women)Pregnancy rateClinical implantation rateSustained implantation rate
Zander-Fox et al. 2012 [45] (2006–2007)Retrospective study(2089 cycles)IVF/ICSIWomen > 38 years of age, natural and donor cycles18.5–24.9 (1065 cycles)25.0–29.9 (486 cycles)30.0–34.9 (244 cycles)35.0–39.9 (144 cycles)≥40.0 (118 cycles)No of oocytesFertilisation rateLive deliveryClinical pregnancyNo of oocytes
Ozgun et al. 2012 [46](2005–2010)Retrospective cohort(935 women)ICSINo exclusion criteria< 18.5 (18 women)18.5–24.9 (398 women)25–29.9 (355 women)≥30 (164 women)Clinical pregnancy rateNo of oocytesMiscarriage rateTotal gonadotrophin dose
Ramezanzadeh et al. 2012 [47](2010–2011)Prospective study(236 women)IVFMale factor infertility according to the WHO criteria, presence of systemic disease, age < 18 years or > 40 years and donor oocytes< 25 (93 women)25–30 (94 women)> 30 (49 women)No of oocytesFertilization rateNo of embryo transferredBiochemical pregnanciesClinical pregnancy rateImplantation rate
Moragianni et al. 2012 [48](2007–2008)Retrospective cohort study(4609 women)IVF/IVF-ICSIWomen < 20 years and > 47 years of age, donor oocytes, gestational surrogacy, cryopreserved embryos or those that lacked BMI documentation< 18.5 (92 women)18.5–24.99 (2605 women)25.0–29.99 (1027 women)30.00–34.99 (477 women)35.00–39.99 (275 women)> 40.0 (133 women)No of oocytes retrievedDuration of stimulationTotal dosage of gonadotrophinNo of embryo transferredImplantationClinical pregnancyBiochemical pregnancyGlobal miscarriageEctopic pregnancyLive birthMultiple birth
Bailey et al. 2014 [49](2001–2010)Retrospective Cohort Study (79 women / 101 cycles)IVF/ICSIWomen < 40 years of age, height and weight measurements > 3 months from the start of cycle, in-vitro maturation,FSH > 10 mIU/mL, uncontrolled thyroid disease, history of chemotherapy or radiation exposure, recurrent pregnancy loss, uterine factor, balanced translocation in either partner, surgically documented endometriosis or pelvic adhesions, history of pelvic inflammatory disease, adenomyosis and submucosal myoma18.7–24.9 (51 cycles)25.0–29.9 (19 cycles)≥30.0 (31 cycles)Chemical pregnancyMiscarriageClinical PregnancyLive Birth rateDuration of stimulation of gonadotrophinDosage of gonadotrophinNo of oocytes retrieved
Schliep et al.2014 [50](2005–2010)Prospective Cohort Study (721 women)IVF/ICSIMen with non-obstructive azoospermia< 18.5 (32 women)18.5–24.9 (407 women)25–29.9 (147 women)30–34.9 (72 women)≥35 (63 women)Fertilization ratePregnancy rateLive birth rate
Cai et al. 2017 [51](2013–2014)Retrospective Cohort Study(4401 women / 4798 fresh transfer cyclesIVF/ICSIMild stimulation cycles, natural cycles and luteal-phase stimulation cycle, patients with diabetes, glucose intolerance and thyroid abnormality< 18.5 (886 cycles)18.5–24.9 (3642 cycles)≥25 (670 cycles)Fertilization rateLive birth rateMiscarriage rateDosage of gonadotrophin
Ozekinci et al. 2015 [52](2008–2013)Retrospective Cohort Study(298 women)IVF-ICSIUnderweight women, women > 38 years of age, transfer of > 2 embryos, frozen cycles18.5–24.9 (164 cycles)25–29.9 (70 cycles)≥30 (64 cycles)Dosage of gonadotrophinDuration of stimulation
Caillon et al. 2015 [53](2006–2009)Retrospective study(582 women)IVF-ICSIUnderweight women18.5–24.9 (409 women)≥25 (149 women)Dosage of gonadotrophinImplantation rateMiscarriage rateLive birth rate
Provost et al. 2016 [54]2008–2010Retrospective Cohort Study(239,127 cycles)IVFWomen with a height < 48 in. and weight< 70 pounds< 18.5 (7149 cycles)18.5–24.9 (134,588 cycles)25–29.9 (54,822 cycles)30–34.9 (24,922 cycles)35–39.9 (11,747 cycles)40–44.9 (4084 cycles)45–49.9 (1292 cycles)> 50 (463 cycles)Implantation rateClinical pregnancy rateMiscarriage rateLive birth rate
Russo et al. 2017 [55]2010–2014Retrospective Cohort Study(520 women)Not specifiedCongenital uterine anomalies, endometrial polyps, intrauterine synechiae, adenomyosis, intra-cavity fibroids, hydrosalpinges, donor cycles, poor quality embryos, cleavage stage embryos, and women > 40 years< 20 (51 women)20–24.9 (294 women)25–29.9 (64 women)30–39.9 (58 women)≥40 (54 women)Miscarriage rateClinical pregnancy rateLive birth rateDosage of gonadotrophin
Christensen et al. 2016 [56](1999–2009)Retrospective Cohort Study(5342 cycles)IVF/ICSIMissing information on BMI or treatment type, premature ovulation before oocyte retrieval, intrauterine insemination cycles< 18.5 (158 cycles)18.5–24.9 (3539 cycles)25–29.9 (1171 cycles)≥30 (474 cycles)Dosage of gonadotrophinClinical pregnancy rate

BMI Body Mass Index, IVF in vitro fertilization, ICSI intracytoplasmic sperm injection, OHSS ovarian hyperstimulation syndrome, GIFT gamete intra-Fallopian transfer, HCG human chorionic gonadotrophin, FSH follicle stimulation hormone

Flow chart for literature search and study selection Details of included studies BMI Body Mass Index, IVF in vitro fertilization, ICSI intracytoplasmic sperm injection, OHSS ovarian hyperstimulation syndrome, GIFT gamete intra-Fallopian transfer, HCG human chorionic gonadotrophin, FSH follicle stimulation hormone

Primary outcome measure

Life birth rate per IVF/ ICSI cycle

In women with a BMI ≥25 kg/m2 versus BMI < 25 kg/m2, a total of 14 studies were pooled and a statistically significant reduction in the live birth rate (OR 0.81, 95% CI 0.74–0.89, p < 0.00001; Fig. 2a) was seen. There was significant heterogeneity between the included studies (I2 = 65%).
Fig. 2

Meta-analysis of live-birth rate: (a) BMI ≥25 kg/m2 versus BMI < 25 kg/m2; (b) Normal BMI versus BMI 25–29.9 kg/m2; (c) Normal BMI versus BMI ≥30 kg/m2

Meta-analysis of live-birth rate: (a) BMI ≥25 kg/m2 versus BMI < 25 kg/m2; (b) Normal BMI versus BMI 25–29.9 kg/m2; (c) Normal BMI versus BMI ≥30 kg/m2 A total of 11 studies compared women with a normal BMI against those who were overweight (BMI 25–29.9 kg/m2). An analysis of the pooled data showed a statistically significant reduction in the live birth rate in women with a BMI 25–29.9 (OR 0.92, 95% CI 0.86–0.97, p = 0.005; Fig. 2b). No significant heterogeneity (I2 = 18%) was documented. Data for women with a normal BMI versus BMI ≥ 30 kg/m2 came from the pooling of 10 studies. The live birth rate for women with a BMI ≥30 kg/m2 was statistically significantly lower than for women with a normal BMI (OR 0.81, 95% CI 0.79–0.82, p < 0.00001; Fig. 2c). No significant heterogeneity (I2 = 0%) was detected in the data source.

Secondary outcome measures

Clinical pregnancy rate

A total of 37 studies were pooled for BMI < 25 kg/m2 versus BMI ≥25 kg/m2. A statistically significant reduction in the clinical pregnancy rate was demonstrated for women with a BMI ≥25 kg/m2 (OR 0.82, 95% CI 0.77–0.88, p < 0.00001; Fig. 3a). However, there was significant heterogeneity (I2 = 58%, p < 0.00001) between the studies analysed.
Fig. 3

Meta-analysis of clinical pregnancy rate: (a) BMI ≥25 kg/m2 versus BMI < 25 kg/m2; (b) Normal BMI versus BMI 25–29.9 kg/m2; (c) Normal BMI versus BMI ≥30 kg/m2

Meta-analysis of clinical pregnancy rate: (a) BMI ≥25 kg/m2 versus BMI < 25 kg/m2; (b) Normal BMI versus BMI 25–29.9 kg/m2; (c) Normal BMI versus BMI ≥30 kg/m2 A statistically significant reduction in the clinical pregnancy rate was demonstrated for women with a BMI between 25 and 29.9 kg/m2 when compared to women with a normal BMI (19 studies pooled, OR 0.89, 95% CI 0.84–0.94, p < 0.00001; Fig. 3b). No significant heterogeneity (I2 = 31%) was seen between the studies. Pooled analysis from 18 studies demonstrated a statistically significant reduction in the clinical pregnancy rate for women with a BMI ≥30 kg/m2 when compared to women with a normal BMI (OR 0.80, 95% CI 0.74–0.87, p < 0.00001; Fig. 3c). There was no significant heterogeneity (I2 = 32%) present between the studies.

Miscarriage rate

An increased risk of miscarriage is demonstrated in women with a BMI ≥25 kg/m2 when compared to women with a BMI < 25 kg/m2 (26 studies pooled, OR 1.30, 95% CI 1.15–1.48, p < 0.0001; Fig. 4a). However, significant heterogeneity (I2 = 53%, p = 0.0001) was seen between the studies.
Fig. 4

Meta-analysis of miscarriage rate: (a) BMI ≥25 kg/m2 versus BMI < 25 kg/m2; (b) Normal BMI versus BMI 25–29.9 kg/m2; (c) Normal BMI versus BMI ≥30 kg/m2

Meta-analysis of miscarriage rate: (a) BMI ≥25 kg/m2 versus BMI < 25 kg/m2; (b) Normal BMI versus BMI 25–29.9 kg/m2; (c) Normal BMI versus BMI ≥30 kg/m2 Women with a BMI 25–29.9 kg/m2 were also more likely to have a miscarriage when compared to women with a normal BMI (18 studies pooled, OR 1.15 95% CI 1.05–1.26, p = 0.002; Fig. 4b). There was no significant clinical heterogeneity (I2 = 16%) in this group. The risk of miscarriage is further increased in women with a BMI ≥30 kg/m2 when compared to women who fall into a normal BMI category (17 studies pooled, OR 1.52, 95% CI 1.28–1.81, p < 0.00001; Fig. 4c). No significant heterogeneity (I2 = 46%) was demonstrated between the studies.

Dosage of gonadotrophin stimulation

Women with a BMI ≥25 kg/m2 required significantly larger total gonadotrophin dosages than women with a BMI < 25 kg/m2 (15 studies pooled, weighted mean difference [WMD] 196.03iu, 95% CI 131.91–260.16, p < 0.00001; Fig. 5a). However, significant heterogeneity (I2 = 75%, p < 0.00001) was present between the studies.
Fig. 5

Meta-analysis of total gonadotrophin dose: (a) BMI ≥25 kg/m2 versus BMI < 25 kg/m2; (b) Normal BMI versus BMI 25–29.9 kg/m2; (c) Normal BMI versus BMI ≥30 kg/m2

Meta-analysis of total gonadotrophin dose: (a) BMI ≥25 kg/m2 versus BMI < 25 kg/m2; (b) Normal BMI versus BMI 25–29.9 kg/m2; (c) Normal BMI versus BMI ≥30 kg/m2 Women with a BMI 25–29.9 kg/m2 were demonstrated to require significantly higher total gonadotrophin dosages than women with a normal BMI (12 studies pooled, WMD 83.67iu, 95% CI 24.54–142.80, p = 0.006; Fig. 5b). However, significant heterogeneity (I2 = 80%, p < 0.00001) existed between the studies. Furthermore, increased total dosages of gonadotrophin was documented for women with a BMI ≥30 kg/m2 when compared to women whose BMI fell into the normal category (13 studies pooled, WMD 363.58iu, 95% CI 252.99–474.17, p < 0.00001; Fig. 5c). However, significant heterogeneity (I2 = 81%, p < 0.00001) was present between the studies.

Duration of gonadotrophin stimulation

No significant difference in duration of stimulation therapy was documented between women with a BMI < 25 kg/m2 or ≥25 kg/m2 (13 studies pooled, WMD 0.10, 95% CI -0.10-0.31, p = 0.32; Fig. 6a), however significant heterogeneity (I2 = 95%, p < 0.00001) existed between the included studies.
Fig. 6

Meta-analysis of duration of gonadotrophin stimulation: (a) BMI ≥25 kg/m2 versus BMI < 25 kg/m2; (b) Normal BMI versus BMI 25–29.9 kg/m2; (c) Normal BMI versus BMI ≥30 kg/m2

Meta-analysis of duration of gonadotrophin stimulation: (a) BMI ≥25 kg/m2 versus BMI < 25 kg/m2; (b) Normal BMI versus BMI 25–29.9 kg/m2; (c) Normal BMI versus BMI ≥30 kg/m2 Furthermore, no significant difference was seen for duration of gonadotrophin stimulation between women with a BMI 25–29.9 kg/m2 versus a normal BMI (8 pooled studies, WMD 0.02, 95% CI -0.10-0.13, p = 0.79, I2 = 48%; Fig. 6b) or for women with a BMI ≥30 kg/m2 versus a normal BMI (12 pooled studies, WMD 0.12 95% CI -0.24-0.47, p = 0.52; Fig. 6c), however significant heterogeneity (I2 = 96%, p < 0.00001) was noted between the studies for the latter comparison.

Discussion

Public funding for fertility services within the United Kingdom is limited, and therefore, strict guidance exists regarding who can be offered treatment under the National Health Service (NHS). Body mass index (BMI) is a universal criteria adopted by both the public and private sector. This study addresses an important aspect of the impact of a raised BMI on fertility treatment outcomes. We standardise the analysis of the data by only including studies incorporating the WHO BMI criteria; the current reference point for clinicians and clinical commissioning groups in ascertaining which group of patients should receive treatment. This study is an update of the previous systematic review performed in 2010, with the inclusion of a larger number of cycles from central databases such as the Society for Assisted Reproductive Technology (SART). This systematic review and meta-analysis has clearly highlighted the negative impact of a raised BMI on the outcomes following ART treatment, with documented lower success rates and higher rates of miscarriages as well as higher total dosage of gonadotrophin usage with no effect on the duration of stimulation. The latter may have been balanced by higher dosages of treatment which can also have a cost implication. However, as most studies have included a BMI category of < 25 kg/m2, which would also include underweight women with a BMI < 18 kg/m2, the detrimental effects of which have been addressed in a number of previous studies, a risk of bias cannot be confidently excluded. This has been addressed through the inclusion of studies allowing for a sub-group analysis of women with a normal BMI with overweight and obese women. The presented data is able to demonstrate statistical significance with low clinical heterogeneity for a number of factors reflective of success through ART treatment. Despite this, caution is advised for interpretation of the presented information as only a few of the included studies controlled for confounding factors such as age, smoking and duration of infertility. In order to reduce further clinical heterogeneity, studies not incorporating the WHO classification for BMI and paternal BMI were excluded. The included studies were considered relevant if they conformed to the WHO classification of BMI, despite this, a considerable amount of methodological and clinical heterogeneity existed. The level of statistical heterogeneity for the primary outcome measure live birth rate and secondary outcome measures clinical pregnancy rate and miscarriage rate were limited. However, despite a significant increase in total gonadotrophin dosage requirements with increasing BMI categories, the studies demonstrated significant statistical heterogeneity, limiting their value. The presented data can act as an aid in the counselling of subjects secondary to a clear impact on ART outcomes being demonstrated across all BMI categories. The evidence supports the government’s stringent allocation of funding when resources are significantly limited. A raised BMI impacts reproductive health at the pre and post embryological stage of development, affecting oocyte quality and the endometrial environment [2]. A recent meta-analysis and systematic review by Best et al., [5] has demonstrated that weight loss can improve pregnancy rate and ovulatory status with a trend favouring spontaneous conception. However, these effects have not been seen through ART. Of note, miscarriage rates were unaltered with a change in weight. Besides the reproductive health effects of a raised BMI, clinicians should also be aware of the increased rate of pregnancy complications such as pregnancy induced hypertension, pre-eclampsia and gestational diabetes in women with a raised BMI. Women are also at an increased risk of an emergency caesarean section with increasing BMI [6, 7]. A holistic approach should be used when counselling patients seeking ART treatments using an open discussion method to inform patients of the effects of raised BMI on ART and obstetric care. This will allow couples to make an informed decision and to take ownership of their well-being.

Conclusion

This systematic review and meta-analysis further emphasises the negative impact of a raised BMI on ART outcomes. However, the underlying pathophysiology is beyond the scope of this systematic review and will need to be evaluated in future studies. The quality of this systematic review would be further improved if future study designs included the WHO classification of BMI and controlled for confounding variables.
  43 in total

1.  Increased body mass index has a deleterious effect on in vitro fertilization outcome.

Authors:  J B Loveland; H D McClamrock; A M Malinow; F I Sharara
Journal:  J Assist Reprod Genet       Date:  2001-07       Impact factor: 3.412

2.  Quantifying heterogeneity in a meta-analysis.

Authors:  Julian P T Higgins; Simon G Thompson
Journal:  Stat Med       Date:  2002-06-15       Impact factor: 2.373

3.  Morbid obesity and pregnancy outcomes after single blastocyst transfer: a retrospective, North American study.

Authors:  Miguel Russo; Senem Ates; Talya Shaulov; Michael H Dahan
Journal:  J Assist Reprod Genet       Date:  2017-02-11       Impact factor: 3.412

4.  Pregnancy outcomes decline with increasing body mass index: analysis of 239,127 fresh autologous in vitro fertilization cycles from the 2008-2010 Society for Assisted Reproductive Technology registry.

Authors:  Meredith P Provost; Kelly S Acharya; Chaitanya R Acharya; Jason S Yeh; Ryan G Steward; Jennifer L Eaton; James M Goldfarb; Suheil J Muasher
Journal:  Fertil Steril       Date:  2015-11-25       Impact factor: 7.329

5.  Influence of female bodyweight on IVF outcome: a longitudinal multicentre cohort study of 487 infertile couples.

Authors:  A Pinborg; C Gaarslev; C O Hougaard; A Nyboe Andersen; P K Andersen; J Boivin; L Schmidt
Journal:  Reprod Biomed Online       Date:  2011-06-26       Impact factor: 3.828

6.  Obesity and Clomiphene Challenge Test as predictors of outcome of in vitro fertilization and intracytoplasmic sperm injection.

Authors:  Esther C A M van Swieten; Loes van der Leeuw-Harmsen; Erik A Badings; Paul J Q van der Linden
Journal:  Gynecol Obstet Invest       Date:  2005-03-07       Impact factor: 2.031

7.  Impact of isolated obesity on ICSI outcome.

Authors:  I Esinler; G Bozdag; H Yarali
Journal:  Reprod Biomed Online       Date:  2008-10       Impact factor: 3.828

8.  Maternal obesity, associated complications and risk of prematurity.

Authors:  H Aly; T Hammad; A Nada; M Mohamed; S Bathgate; A El-Mohandes
Journal:  J Perinatol       Date:  2009-08-20       Impact factor: 2.521

9.  Impact of body mass index versus physical activity and calorie intake on assisted reproduction outcomes.

Authors:  F Ramezanzadeh; A Kazemi; P Yavari; M H Nasr-Esfahani; S Nejat; A Rahimi-Foroshani; A Saboor-Yaraghi
Journal:  Eur J Obstet Gynecol Reprod Biol       Date:  2012-05-08       Impact factor: 2.435

10.  Effect of Female Body Mass Index on Oocyte Quantity in Fertility Treatments (IVF): Treatment Cycle Number Is a Possible Effect Modifier. A Register-Based Cohort Study.

Authors:  Mette Wulf Christensen; Hans Jakob Ingerslev; Birte Degn; Ulrik Schiøler Kesmodel
Journal:  PLoS One       Date:  2016-09-21       Impact factor: 3.240

View more
  18 in total

1.  Waist circumference in relation to outcomes of infertility treatment with assisted reproductive technologies.

Authors:  Ming-Chieh Li; Lidia Mínguez-Alarcón; Mariel Arvizu; Yu-Han Chiu; Jennifer B Ford; Paige L Williams; Jill Attaman; Russ Hauser; Jorge E Chavarro
Journal:  Am J Obstet Gynecol       Date:  2019-02-11       Impact factor: 8.661

2.  Preconception serum lipids and lipophilic micronutrient levels are associated with live birth rates after IVF.

Authors:  Erica L Jamro; Michael S Bloom; Richard W Browne; Keewan Kim; Eleni A Greenwood; Victor Y Fujimoto
Journal:  Reprod Biomed Online       Date:  2019-06-14       Impact factor: 3.828

3.  The association of obesity with euploidy rates in women undergoing in vitro fertilization with preimplantation genetic testing.

Authors:  Stephanie Hallisey; Reeva Makhijani; Jeffrey Thorne; Prachi Godiwala; John Nulsen; Claudio Benadiva; Daniel Grow; Lawrence Engmann
Journal:  J Assist Reprod Genet       Date:  2022-10-10       Impact factor: 3.357

Review 4.  Personalized Nutrition in the Management of Female Infertility: New Insights on Chronic Low-Grade Inflammation.

Authors:  Gemma Fabozzi; Giulia Verdone; Mariachiara Allori; Danilo Cimadomo; Carla Tatone; Liborio Stuppia; Marica Franzago; Nicolò Ubaldi; Alberto Vaiarelli; Filippo Maria Ubaldi; Laura Rienzi; Gianluca Gennarelli
Journal:  Nutrients       Date:  2022-05-03       Impact factor: 6.706

Review 5.  Environmental factors in declining human fertility.

Authors:  Niels E Skakkebæk; Rune Lindahl-Jacobsen; Hagai Levine; Anna-Maria Andersson; Niels Jørgensen; Katharina M Main; Øjvind Lidegaard; Lærke Priskorn; Stine A Holmboe; Elvira V Bräuner; Kristian Almstrup; Luiz R Franca; Ariana Znaor; Andreas Kortenkamp; Roger J Hart; Anders Juul
Journal:  Nat Rev Endocrinol       Date:  2021-12-15       Impact factor: 47.564

Review 6.  Pregnancy in Thalassemia.

Authors:  Raffaella Origa; Federica Comitini
Journal:  Mediterr J Hematol Infect Dis       Date:  2019-03-01       Impact factor: 2.576

7.  Cumulative Live Birth Rates According to Maternal Body Mass Index After First Ovarian Stimulation for in vitro Fertilization: A Single Center Analysis of 14,782 Patients.

Authors:  Xia Xue; Wenhao Shi; Hanying Zhou; Li Tian; Zhenghao Zhao; Dangxia Zhou; Juanzi Shi
Journal:  Front Endocrinol (Lausanne)       Date:  2020-04-09       Impact factor: 5.555

Review 8.  Potential Adverse Effects of Female and Male Obesity on Fertility: A Narrative Review.

Authors:  Mina Amiri; Fahimeh Ramezani Tehrani
Journal:  Int J Endocrinol Metab       Date:  2020-09-28

9.  The effects of oocyte donor and recipient body mass index on live birth rates and pregnancy outcomes following assisted reproduction.

Authors:  Jiaxin Xu; Heather S Hipp; Sarah M Capelouto; Zsolt P Nagy; Daniel B Shapiro; Jessica B Spencer; Audrey J Gaskins
Journal:  F S Rep       Date:  2020-10-28

10.  Association Between Pre-Pregnancy Body Mass Index and Miscarriage in an Assisted Reproductive Technology Population: A 10-Year Cohort Study.

Authors:  Pengfei Qu; Mingxin Yan; Doudou Zhao; Dongyang Wang; Shaonong Dang; Wenhao Shi; Juanzi Shi; Chunli Zhang
Journal:  Front Endocrinol (Lausanne)       Date:  2021-06-16       Impact factor: 5.555

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.