Abstract
Purpose
The purpose of the study was to describe trends in and investigate variables associated with clinical pregnancy and live birth in autologous in vitro fertilization (IVF) cycles among women ≥40 years.
Methods
We used autologous IVF cycle data from the National ART Surveillance System (NASS) for women ≥40 years at cycle start. We assessed trends in fresh and frozen cycles (n = 371,536) from 1996 to 2013. We reported perinatal outcomes and determined variables associated with clinical pregnancy and live birth in fresh cycles between 2007 and 2013.
Results
From 1996 to 2013, the total number of cycles in women ≥40 years increased from 8672 to 28,883 (p < 0.0001), with frozen cycles almost tripling in the last 8 years. Cycles in women ≥40 years accounted for 16.0% of all cycles in 1996 and 21.0% in 2013 (p < 0.0001). For fresh cycles from 2007 to 2013 (n = 157,890), the cancelation rate was 17.1%. Among cycles resulting in transfer (n = 112,414), the live birth rate was 16.1%. The following were associated with higher live birth rates: multiparity, fewer prior ART cycles, use of standard agonist or antagonist stimulation, lower gonadotropin dose, ovarian hyperstimulation syndrome, more oocytes retrieved, use of pre-implantation genetic screening/diagnosis, transferring more and/or blastocyst stage embryos, and cryopreserving more supernumerary embryos. Of the singleton infants born (n = 14,992), 86.9% were full term and 88.3% normal birth weight.
Conclusions
The NASS allows for a comprehensive description of IVF cycles in women ≥40 years in the USA. Although live birth rate is less than 20%, identifying factors associated with IVF success can facilitate treatment option counseling.
Keywords: In vitro fertilization (IVF), Infertility, Older women, 40 years and over
Introduction
With increasing availability of effective contraception and access to educational and workplace opportunities, more women are delaying childbearing [1]. This is reflected by birth rates in women ages 40 to 44 years almost doubling in the USA between 1990 and 2013 [2]. Live birth rates, however, are dependent on the age of the oocyte; both spontaneous [3] and in vitro fertilization (IVF) conceptions with autologous oocytes decline with age. Live birth rates after IVF in women ≥40 years range from 4.7 to 9.7% per cycle started [4–6]. One study found that 1% of oocytes retrieved in this age group resulted in a live birth (“oocyte to baby rate”), compared to 6.8% in a donor oocyte population [7]. Cancelation rates are also high among women >40 years with 15–30% of cycles canceled prior to oocyte retrieval even in a pre-selected IVF population [8, 9]. Below average success rates in this group translate to high IVF treatment costs. One prior analysis estimated that a live birth in women ages 40 years and older is 2.5 times more expensive than in women ages 35–39 years [10]. Others have questioned the ethics of providing fertility care in older women [11], especially in light of the potential for increased pregnancy morbidity [12, 13].
As more couples delay childbearing, however, there is an increased need for fertility treatment in this population. In this analysis, our aim was to describe trends in the absolute number of autologous fresh and frozen IVF cycles conducted among women ≥40 years, the proportion of these cycles among IVF cycles in women of all ages, and the live birth rate among women ≥40 years. We also aimed to describe perinatal outcomes of infants conceived with fresh autologous IVF cycles started by women ≥40 years, to explore factors associated with clinical pregnancy and live birth, and to report the number of IVF cycles (fresh and frozen) initiated per live birth by each year of maternal age at oocyte retrieval.
Materials and methods
We used data from the Centers for Disease Control and Prevention’s National Assisted Reproductive Technology Surveillance System (NASS), a federally mandated reporting system that captures over 97% of assisted reproductive technology (ART) cycles [14] performed in the USA. The data, which are certified by the medical director of each fertility clinic, are cycle-specific and include patient demographics, parity, diagnoses, cycle stimulation information, and treatment outcomes. Annually, a sample of clinics that submit data to NASS (approximately 5–10%) are validated by comparing reported data to medical charts [14].
We first described trends in the number of fresh and frozen autologous oocyte IVF cycles started, the live birth rate, and the number of resulting live births among women ≥40 years from 1996 to 2013. We also described the trend in the proportion of autologous oocyte cycles in women ≥40 years among cycles in women of all age groups. Linear regression analysis was used to test for linear and quadratic trends.
For all other analyses, we restricted the data to years 2007 to 2013 to reflect more recent practice patterns in the rapidly changing field of ART. In addition, starting in 2007, data were available to link frozen cycles to their originating oocyte retrieval for assessment of maternal age at oocyte retrieval. We calculated the number of autologous fresh and frozen IVF cycles started per live birth by each year of maternal age at oocyte retrieval. We included frozen cycles that could be linked to their prior fresh oocyte retrieval in order to capture all available transfer data from the initiating oocyte retrieval. We excluded frozen cycles that had no prior ART cycles or that were linked to a fresh cycle reporting zero embryos cryopreserved. After linkage and exclusions, 56.1% (n = 18,732) of the frozen cycles were included.
Next, we reported patient and cycle characteristics of fresh autologous IVF cycles in women ≥40 years. We limited this analysis to only fresh cycles because many of the variables of interest were not applicable to or available for frozen cycles (e.g., gonadotropin dose, stimulation type, use of pre-implantation genetic screening/diagnosis (PGD/PGS)). PGD/PGS data are only captured in the NASS database for fresh cycles and not for cycles in which all embryos are screened for aneuploidy and frozen for storage in anticipation of a later future thaw and transfer. Among the infertility diagnoses, which are not mutually exclusive, diminished ovarian reserve (DOR) was not included because the NASS definition includes advanced maternal age (>40 years), regardless of ovarian reserve parameters.
We then investigated variables associated with clinical pregnancy, defined as a gestational sac(s) seen on ultrasound and live birth among fresh autologous cycles and transfers for women ≥40 years. Log binomial regression using generalized estimating equations with an independent correlation matrix to account for clustering by clinic was performed to produce unadjusted and adjusted risk ratios and confidence intervals. Multivariable models were created using backwards model building, with only those variables statistically significant at α = 0.05 retained in the final model. Race and BMI were not considered for inclusion in the multivariable models due to a large percentage of data missing (40.0 and 26.2%, respectively); missing data for all other variables was less than 2.8%.
Lastly, we described perinatal outcomes including gestational age and birth weight at delivery of singleton and twin infants conceived with fresh autologous IVF cycles among women ≥40 years. Gestational age was missing for 0.25% of infants and gestational weight for 2.4% of infants.
Analyses were conducted using SAS v9.3 (SAS Institute, Inc., Cary, NC). The study was approved by the Institutional Review Board of the Centers for Disease Control and Prevention.
Results
In 1996, autologous IVF cycles in women ≥40 years (n = 8672) accounted for 16.0% of cycles in women of all ages (n = 54,074). This proportion increased to 21.0% (n = 28,883/138,530) in 2013.
The total number of autologous (fresh and frozen) IVF cycles for women ≥40 years increased from 8672 to 28,883 from 1996 to 2013 (p < 0.0001), with a peak in 2012 of 29,727 cycles (Fig. 1a). From 1996 to 2013, the number of fresh cycles increased overall from 7493 to 21,251 (p < 0.0001), but peaked in 2011 at 23,918 cycles and declined afterwards (Fig. 1a). The number of frozen cycles increased through the entire study period from 1179 in 1996 to 7632 in 2013 (p < 0.0001), more than tripling in the last 8 years. From 2006 to 2013, the proportion of frozen cycles among all cycles (fresh and frozen) increased from 11.3 to 26.4%. The number of live births increased significantly from 748 in 1996 to 4217 in 2013 (p < 0.0001). The live birth rate per fresh cycle started increased from 8.5% in 1996 (635 live births/7493 cycles) to 10.6% in 2013 (2262 live births/21,251 cycles), peaking in 2010 at 12.0% (Fig. 1b).
Fig. 1.
Trends in IVF autologous oocyte cycles and outcomes among women ≥40 years at cycle start, 1996–2013. a Fresh and frozen IVF cycles, 1996–2013. b Live birth rate, 1996–2013
Figure 2, which describes the number of fresh and frozen autologous IVF cycles initiated per live birth by year of maternal age at oocyte retrieval, shows an exponential increase from 5.4 cycles per live birth in women who were 40 years at the time of oocyte retrieval to 92.9 cycles per live birth in women who were ≥46 years of age. In women older than 44 years, the live birth rate was 1–2%. The ratio of the number of live births to the number of IVF cycles started for each year of age was as follows: 117:5811 for 45 years, 23:2582 for 46 years, 12:1199 for 47 years, 8:601 for 48 years, and 10:536 for 49 years and older.
Fig. 2.
Number of IVF cycles started per live birth by maternal age at oocyte retrieval, 2007–2013
Among all fresh autologous IVF cycles started by women ≥40 years between 2007 and 2013 (n = 157,890), 17.1% (n = 26,990) were canceled (Table 1). Among cycles that proceeded to embryo transfer (n = 112,414), 65.1% (n = 72,848) did not result in pregnancy, 8.8% (n = 9868) resulted in a biochemical pregnancy, 8.2% (n = 9183) resulted in a first trimester pregnancy loss, and 16.1% (n = 18,023) resulted in a live birth. The biochemical pregnancies and first trimester losses accounted for 48.7% of all pregnancies.
Table 1.
Patient and cycle characteristics of autologous fresh IVF cycles in women ≥40 years, 2007–2013
Fresh cycles | ||
---|---|---|
n | % | |
Total number of cycles | 157,890 | |
Maternal age (years) | ||
40 | 44,749 | 28.3 |
41 | 39,101 | 24.8 |
42 | 30,590 | 19.4 |
43 | 21,411 | 13.6 |
44 | 11,980 | 7.6 |
45 | 5469 | 3.5 |
>45 | 4590 | 2.9 |
Race/ethnicitya | ||
Non-Hispanic white | 62,856 | 39.8 |
Non-Hispanic black | 9146 | 5.8 |
Asian/Pacific islander | 13,470 | 8.5 |
Hispanic | 9031 | 5.7 |
Other | 218 | 0.0 |
Missing data | 63,169 | 40.0 |
BMI (kg/m2)a | ||
<18.5 | 2799 | 1.8 |
18.5–24.9 | 63,317 | 40.1 |
25.0–29.9 | 28,839 | 18.3 |
>30 | 21,651 | 13.7 |
Missing data | 41,284 | 26.1 |
No. of prior pregnancies | ||
0 | 52,177 | 33.1 |
1 | 42,356 | 26.9 |
>2 | 62,922 | 40.0 |
No. of prior spontaneous abortions | ||
0 | 92,775 | 59.2 |
1 | 37,703 | 24.0 |
>2 | 26,382 | 16.8 |
No. of prior births | ||
0 | 101,958 | 64.9 |
1 | 39,236 | 25.0 |
>2 | 15,894 | 10.1 |
No. of prior ART cycles | ||
0 | 70,581 | 44.7 |
1 | 35,162 | 22.3 |
>2 | 52,054 | 33.0 |
Infertility diagnosis | ||
Male factor | 42,232 | 26.8 |
Endometriosis | 10,076 | 6.4 |
Ovulatory dysfunction | 8558 | 5.4 |
Tubal factor | 21,431 | 13.6 |
Uterine factor | 10,482 | 6.6 |
Unexplained | 15,637 | 9.9 |
Other | 28,112 | 17.8 |
Stimulation type | ||
None (natural cycle) | 4228 | 2.7 |
Oral meds only | 1618 | 1.0 |
Oral meds + gonadotropins | 5520 | 3.5 |
Gonadotropins only (antagonist) | 74,750 | 48.0 |
Gonadotropins only (no suppression) | 5312 | 3.4 |
Gonadotropins only (flare) | 30,859 | 19.8 |
Gonadotropins only (standard agonist) | 32,545 | 20.9 |
Other | 990 | 0.6 |
Gonadotropin dose (international dose) | ||
0–2000 | 21,971 | 14.3 |
2001–4000 | 52,962 | 34.5 |
4001–6000 | 56127 | 36.5 |
>6000 | 22570 | 14.7 |
Cycle cancelation | ||
Yes | 26,990 | 17.1 |
No | 130,900 | 82.9 |
Ovarian hyperstimulation syndrome | ||
No | 157,448 | 99.7 |
Yes | 442 | 0.3 |
Total number of retrievals | 130,900 | |
No. of oocytes retrieved | ||
0–4 | 37,445 | 28.6 |
5–9 | 46,360 | 35.4 |
>10 | 47,095 | 36.0 |
Used intracytoplasmic sperm injection | ||
No | 34,688 | 27.0 |
Yes | 93,803 | 73.0 |
Used pre-implantation genetic diagnosis/screening (PGS/PGD) | ||
No | 119,758 | 94.1 |
Yes | 7554 | 5.9 |
Use of PGD for aneuploidy screening | 4515 | 84.8 |
Use of PGD for other reasons | 812 | 15.2 |
No. of supernumerary embryos cryopreserved | ||
0 | 109,717 | 85.9 |
1–2 | 9516 | 7.5 |
3–4 | 4721 | 3.7 |
>5 | 3784 | 3.0 |
Total number of transfers | 112,414 | |
Used assisted hatching | ||
No | 37,720 | 33.6 |
Yes | 74,694 | 66.5 |
No. of embryos transferred | ||
1 | 18,498 | 16.5 |
2 | 28,053 | 24.9 |
3 | 30,501 | 27.2 |
>4 | 35,291 | 31.4 |
Embryo stage at transfer | ||
Days 2/3 | 82,823 | 73.8 |
Days 5/6 | 26,161 | 23.3 |
Other | 3316 | 3.0 |
Treatment outcome | ||
Not pregnant | 72,848 | 65.1 |
Ectopic pregnancy | 655 | 0.6 |
Biochemical pregnancy | 9868 | 8.8 |
First trimester loss | 9183 | 8.2 |
Therapeutic abortion | 599 | 0.5 |
Second/third trimester loss | 777 | 0.7 |
Live birth | 18,023 | 16.1 |
aGreater than 20% of the observations are missing values for this variable
Among women ≥40 years of age undergoing embryo transfer following a fresh IVF cycle during 2007 to 2013, the following characteristics were significantly associated with clinical pregnancy and live birth (Table 2): younger maternal age, higher parity, fewer prior ART cycles, use of a standard agonist or antagonist stimulation, lower gonadotropin dose (≤2000 IU), having had ovarian hyperstimulation syndrome, transferring more embryos, transferring blastocyst stage embryos, and cryopreserving more supernumerary embryos. Tubal factor and uterine factor were associated with lower rates of clinical pregnancy and live birth, and ovulatory dysfunction with lower rate of live birth. More oocytes retrieved and use of PGS/PGD were associated with live birth only. Use of ICSI was associated with lower rate of clinical pregnancy and live birth. Reporting year was not significantly associated with clinical pregnancy or live birth rate, indicating no significant change from 2007 to 2013 (24.9 to 25.6% and 15.8 to 15.7%, respectively).
Table 2.
Variables associated with clinical pregnancy and live birth in women ≥40 years in autologous fresh IVF transfers, 2007–2013
Clinical pregnancy | Live birth | |||||||
---|---|---|---|---|---|---|---|---|
n | %a | RR (95% CI) | aRR (95% CI) | n | %a | RR (95% CI) | aRR (95% CI) | |
Reporting year | ||||||||
2007 | 3762 | 24.92 | Reference | NS | 2388 | 15.81 | Reference | NS |
2008 | 4226 | 26.53 | 1.06 (1.02–1.11) | NS | 2594 | 16.28 | 1.03 (0.98–1.08) | NS |
2009 | 4345 | 26.35 | 1.06 (1.01–1.11) | NS | 2709 | 16.42 | 1.04 (0.98–1.10) | NS |
2010 | 4286 | 26.18 | 1.05 (1.00–1.10) | NS | 2692 | 16.43 | 1.04 (0.98–1.10) | NS |
2011 | 4381 | 25.36 | 1.02 (0.97–1.07) | NS | 2776 | 16.04 | 1.01 (0.96–1.07) | NS |
2012 | 4238 | 25.32 | 1.02 (0.96–1.07) | NS | 2602 | 15.52 | 0.98 (0.92–1.05) | NS |
2013 | 3688 | 25.61 | 1.03 (0.97–1.09) | NS | 2262 | 15.68 | 0.99 (0.92–1.07) | NS |
Maternal age (years) | ||||||||
40 | 11,524 | 33.74 | Reference | Reference | 7935 | 23.21 | Reference | Reference |
41 | 8434 | 29.31 | 0.87 (0.85–0.89) | 0.89 (0.87–0.91) | 5361 | 18.61 | 0.80 (0.78–0.83) | 0.82 (0.80–0.85) |
42 | 5150 | 23.68 | 0.70 (0.68–0.73) | 0.74 (0.72–0.77) | 2915 | 13.39 | 0.58 (0.55–0.60) | 0.62 (0.59–0.64) |
43 | 2532 | 17.49 | 0.52 (0.50–0.54) | 0.57 (0.55–0.59) | 1303 | 8.99 | 0.39 (0.37–0.41) | 0.43 (0.41–0.46) |
44 | 904 | 11.87 | 0.35 (0.33–0.38) | 0.40 (0.38–0.43) | 367 | 4.82 | 0.21 (0.19–0.23) | 0.24 (0.22–0.27) |
45 | 270 | 8.34 | 0.25 (0.22–0.28) | 0.31 (0.27–0.35) | 102 | 3.14 | 0.14 (0.11–0.17) | 0.18 (0.14–0.22) |
>45 | 112 | 4.90 | 0.15 (0.12–0.17) | 0.20 (0.17–0.24) | 40 | 1.75 | 0.08 (0.05–0.11) | 0.11 (0.07–0.16) |
Race/ethnicityb | ||||||||
Non-Hispanic white | 12,041 | 27.01 | Reference | N/A | 7595 | 17.03 | Reference | N/A |
Non-Hispanic black | 1346 | 22.27 | 0.82 (0.76–0.89) | N/A | 781 | 12.90 | 0.76 (0.69–0.83) | N/A |
Asian/Pacific islander | 2121 | 22.59 | 0.84 (0.79–0.88) | N/A | 1276 | 13.56 | 0.80 (0.74–0.86) | N/A |
Hispanic | 1601 | 25.01 | 0.93 (0.86–0.99) | N/A | 987 | 15.38 | 0.90 (0.82–0.99) | N/A |
Other | 31 | 21.38 | 0.79 (0.55–1.15) | N/A | 18 | 12.16 | 0.71 (0.44–1.17) | N/A |
BMI (kg/m2)b | ||||||||
<18.5 | 472 | 23.74 | 0.91 (0.83–0.99) | N/A | 291 | 14.64 | 0.89 (0.78–1.01) | N/A |
18.5–24.9 | 11,883 | 26.12 | Reference | N/A | 7484 | 16.43 | Reference | N/A |
25.0–29.9 | 5390 | 25.95 | 0.99 (0.96–1.03) | N/A | 3319 | 15.96 | 0.97 (0.93–1.01) | N/A |
>30 | 4092 | 26.19 | 1.00 (0.97–1.04) | N/A | 2478 | 15.84 | 0.96 (0.92–1.01) | N/A |
No. of prior pregnancies | ||||||||
0 | 8536 | 23.56 | Reference | Reference | 5297 | 14.60 | Reference | Reference |
1 | 8144 | 26.52 | 1.13 (1.10–1.15) | 1.07 (1.04–1.10) | 5116 | 16.65 | 1.14 (1.10–1.18) | 1.08 (1.04–1.13) |
>2 | 12,180 | 27.02 | 1.15 (1.12–1.18) | 1.08 (1.04–1.11) | 7561 | 16.75 | 1.15 (1.11–1.19) | 1.10 (1.05–1.16) |
No. of prior spontaneous abortions | ||||||||
0 | 16,445 | 25.17 | Reference | NS | 10,322 | 15.78 | Reference | Reference |
1 | 7424 | 26.84 | 1.07 (1.04–1.10) | NS | 4566 | 16.50 | 1.05 (1.01–1.08) | 0.98 (0.94–1.02) |
>2 | 4843 | 26.06 | 1.04 (0.99–1.07) | NS | 2979 | 16.02 | 1.01 (0.98–1.05) | 0.94 (0.90–0.98) |
No. of prior births | ||||||||
0 | 17,625 | 24.47 | Reference | Reference | 10,849 | 15.05 | Reference | Reference |
1 | 8160 | 28.48 | 1.16 (1.13–1.19) | 1.12 (1.09–1.15) | 5228 | 18.22 | 1.21 (1.17–1.25) | 1.15 (1.11–1.20) |
>2 | 2975 | 26.90 | 1.10 (1.06–1.14) | 1.09 (1.04–1.13) | 1840 | 16.60 | 1.10 (1.05–1.15) | 1.07 (1.01–1.13) |
No. of prior ART cycles | ||||||||
0 | 13,210 | 26.62 | Reference | Reference | 8337 | 16.78 | Reference | Reference |
1 | 6509 | 25.66 | 0.96 (0.94–0.99) | 0.99 (0.96–1.02) | 4077 | 16.05 | 0.96 (0.92–0.99) | 1.00 (0.96–1.03) |
>2 | 9195 | 24.70 | 0.93 (0.89–0.97) | 0.95 (0.93–0.98) | 5602 | 15.03 | 0.90 (0.85–0.94) | 0.94 (0.90–0.97) |
Infertility diagnosis | ||||||||
Male factor | 8452 | 26.89 | 1.06 (1.03–1.10) | 1.03 (1.00–1.05) | 5316 | 16.90 | 1.08 (1.03–1.12) | NS |
No male factor | 20,474 | 25.32 | Reference | Reference | 12,707 | 15.70 | Reference | NS |
Endometriosis | 1845 | 25.41 | 0.99 (0.94–1.04) | NS | 1128 | 15.52 | 0.97 (0.91–1.03) | NS |
No endometriosis | 27,081 | 25.78 | Reference | NS | 16,895 | 16.07 | Reference | NS |
Ovulatory dysfunction | 1940 | 30.00 | 1.18 (1.11–1.24) | NS | 1210 | 18.70 | 1.18 (1.10–1.26) | 0.94 (0.89–0.99) |
No ovulatory dysfunction | 26,986 | 25.50 | Reference | NS | 16,813 | 15.87 | Reference | Reference |
Tubal factor | 3982 | 25.15 | 0.97 (0.94–1.01) | 0.91 (0.88–0.94) | 2442 | 15.41 | 0.95 (0.91–1.00) | 0.89 (0.86–0.93) |
No tubal factor | 24,944 | 25.86 | Reference | Reference | 15,581 | 16.14 | Reference | Reference |
Uterine factor | 1796 | 23.98 | 0.93 (0.87–0.98) | 0.92 (0.88–0.97) | 1035 | 13.79 | 0.85 (0.80–0.91) | 0.85 (0.80–0.91) |
No uterine factor | 27,130 | 25.89 | Reference | Reference | 16,988 | 16.19 | Reference | Reference |
Unexplained | 3599 | 29.15 | 1.15 (1.09–1.22) | NS | 2345 | 18.97 | 1.21 (1.13–1.29) | NS |
No unexplained | 25,327 | 25.34 | Reference | NS | 15,678 | 15.67 | Reference | NS |
Other | 5038 | 26.51 | 1.04 (0.99–1.08) | NS | 3191 | 16.77 | 1.06 (1.00–1.11) | NS |
No other | 23,888 | 25.60 | Reference | NS | 14,832 | 15.88 | Reference | NS |
Stimulation type | ||||||||
None (natural cycle) | 367 | 16.60 | 0.66 (0.55–0.79) | 0.94 (0.83–1.07) | 207 | 9.34 | 0.60 (0.45–0.79) | 0.89 (0.76–1.04) |
Oral meds only | 75 | 10.82 | 0.43 (0.33–0.55) | 0.86 (0.74–0.99) | 40 | 5.69 | 0.36 (0.28–0.47) | 0.86 (0.70–1.07) |
Oral meds + gonadotropins | 461 | 15.66 | 0.62 (0.50–0.76) | 0.81 (0.68–0.95) | 261 | 8.85 | 0.56 (0.45–0.71) | 0.78 (0.65–0.93) |
Gonadotropins only (antagonist) | 13,710 | 25.28 | Reference | Reference | 8507 | 15.67 | Reference | Reference |
Gonadotropins only (no suppression) | 731 | 23.65 | 0.94 (0.83–1.06) | 0.94 (0.85–1.04) | 436 | 14.08 | 0.90 (0.79–1.02) | 0.91 (0.82–1.02) |
Gonadotropins only (flare) | 5384 | 24.17 | 0.96 (0.91–1.01) | 1.00 (0.96–1.04) | 3310 | 14.85 | 0.95 (0.89–1.01) | 1.00 (0.95–1.05) |
Gonadotropins only (agonist) | 7781 | 30.87 | 1.22 (1.16–1.28) | 1.08 (1.05–1.11) | 5005 | 19.84 | 1.27 (1.20–1.34) | 1.08 (1.04–1.12) |
Other | 202 | 31.17 | 1.23 (1.08–1.41) | 1.23 (1.09–1.38) | 125 | 19.29 | 1.23 (1.01–1.50) | 1.27 (1.12–1.44) |
Gonadotropin dose (international dose) | ||||||||
0–2000 | 3390 | 26.60 | Reference | Reference | 2146 | 16.80 | Reference | Reference |
2001–4000 | 11,689 | 30.22 | 1.14 (0.98–1.32) | 0.96 (0.92–1.00) | 7460 | 19.27 | 1.15 (0.96–1.37) | 0.95 (0.90–1.00) |
4001–6000 | 10,226 | 24.34 | 0.92 (0.78–1.07) | 0.86 (0.82–0.90) | 6218 | 14.79 | 0.88 (0.73–1.06) | 0.83 (0.78–0.88) |
>6000 | 3153 | 19.13 | 0.72 (0.61–0.85) | 0.77 (0.73–0.82) | 1908 | 11.57 | 0.69 (0.57–0.84) | 0.76 (0.70–0.82) |
Ovarian hyperstimulation syndrome | ||||||||
Yes | 143 | 53.96 | 2.10 (1.57–2.81) | 1.47 (1.20–1.81) | 101 | 37.97 | 2.38 (1.66–3.40) | 1.60 (1.25–2.03) |
No | 28,783 | 25.69 | Reference | Reference | 17,955 | 15.98 | Reference | Reference |
No. of oocytes retrieved | ||||||||
0–4 | 3747 | 14.08 | Reference | NS | 2083 | 7.81 | Reference | Reference |
4–9 | 10,395 | 24.66 | 1.75 (1.68–1.82) | NS | 6318 | 14.97 | 1.92 (1.81–2.03) | 1.08 (1.02–1.14) |
>10 | 14,784 | 33.96 | 2.41 (2.30–2.52) | NS | 9622 | 22.09 | 2.83 (2.66–3.01) | 1.13 (1.07–1.20) |
Used intracytoplasmic sperm injection | ||||||||
No | 8460 | 27.97 | Reference | Reference | 5292 | 17.49 | Reference | Reference |
Yes | 20,433 | 24.97 | 0.89 (0.85–0.93) | 0.95 (0.92–0.99) | 12,714 | 15.52 | 0.89 (0.84–0.94) | 0.95 (0.91–0.99) |
Used pre-implantation genetic diagnosis/ screening | ||||||||
No | 27,379 | 25.54 | Reference | NS | 16,862 | 15.72 | Reference | Reference |
Yes | 1409 | 31.76 | 1.24 (1.16–1.33) | NS | 1078 | 24.24 | 1.54 (1.42–1.68) | 1.28 (1.17–1.39) |
Used assisted hatching | ||||||||
No | 11,073 | 29.39 | Reference | NS | 7180 | 19.03 | Reference | NS |
Yes | 17,853 | 23.93 | 0.81 (0.76–0.87) | NS | 10,843 | 14.52 | 0.76 (0.71–0.82) | NS |
No. of embryos transferred and embryo stage at transfer | ||||||||
Cleavage (day 2/3) | ||||||||
1 | 1056 | 7.94 | Reference | Reference | 559 | 4.20 | Reference | Reference |
2 | 2918 | 16.14 | 2.01 (1.87–2.16) | 1.82 (1.69–1.96) | 1736 | 9.59 | 2.26 (2.04–2.50) | 1.95 (1.76–2.16) |
3 | 5394 | 25.53 | 3.20 (3.01–3.40) | 2.66 (2.49–2.85) | 3279 | 15.51 | 3.68 (3.36–4.03) | 2.79 (2.53–3.07) |
>4 | 9272 | 30.69 | 3.83 (3.59–4.08) | 3.37 (3.14–3.61) | 5677 | 18.78 | 4.42 (4.06–4.80) | 3.57 (3.27–3.91) |
Blastocyst (day 5/6) | ||||||||
1 | 988 | 22.75 | Reference | Reference | 669 | 15.40 | Reference | Reference |
2 | 3645 | 39.66 | 1.74 (1.57–1.93) | 1.44 (1.31–1.58) | 2449 | 26.62 | 1.72 (1.50–1.97) | 1.44 (1.30–1.60) |
3 | 3470 | 40.52 | 1.77 (1.59–1.97) | 1.58 (1.42–1.75) | 2302 | 26.86 | 1.72 (1.49–1.99) | 1.62 (1.44–1.83) |
>4 | 1457 | 36.07 | 1.58 (1.42–1.76) | 1.66 (1.50–1.84) | 900 | 22.27 | 1.43 (1.23–1.67) | 1.68 (1.50–1.89) |
Other | ||||||||
1 | 84 | 10.34 | Reference | Reference | 60 | 7.38 | Reference | Reference |
2 | 142 | 19.16 | 1.92 (1.50–2.46) | 1.80 (1.42–2.29) | 97 | 13.07 | 1.83 (1.40–2.41) | 1.72 (1.33–2.22) |
3 | 196 | 25.82 | 2.52 (1.82–3.50) | 2.15 (1.59–2.92) | 116 | 15.24 | 2.10 (1.46–3.02) | 1.77 (1.30–2.42) |
>4 | 275 | 27.58 | 2.69 (1.95–3.71) | 2.51 (1.87–3.37) | 163 | 16.32 | 2.30 (1.62–3.26) | 2.19 (1.66–2.89) |
No. of supernumerary embryos cryopreserved | ||||||||
0 | 22,459 | 23.15 | Reference | Reference | 13,712 | 14.12 | Reference | Reference |
1–2 | 3241 | 41.15 | 1.78 (1.72–1.84) | 1.30 (1.26–1.33) | 2164 | 27.44 | 1.94 (1.86–2.03) | 1.32 (1.26–1.37) |
3–4 | 1773 | 45.16 | 1.95 (1.86–2.04) | 1.36 (1.31–1.41) | 1165 | 29.63 | 2.10 (1.97–2.23) | 1.35 (1.27–1.42) |
≥5 | 1308 | 47.36 | 2.05 (1.94–2.16) | 1.42 (1.35–1.48) | 903 | 32.69 | 2.31 (2.16–2.48) | 1.47 (1.38–1.56) |
NS not significant in the multivariable model, N/A not available
aProportion (%) that resulted in outcome of interest (e.g., clinical pregnancy or live birth)
bGreater than 20% of the observations are missing values for this variable; therefore, the variable was not included in the multivariable analysis
We also assessed variables associated with clinical pregnancy and live birth among all IVF cycles started by women ≥40 years to account for canceled cycles (data not shown). The majority of the variables significantly associated with the outcomes were similar with a few exceptions; the number of prior ART cycles was not associated with clinical pregnancy or live birth, while ovulatory dysfunction and unexplained infertility were both positively associated with clinical pregnancy and live birth.
Among women ≥40 years between 2007 and 2013, there were 20,714 infants born, of which 14,992 (72.3%) were singletons. Of the singleton infants, 13,034 (86.9%) were born at term (≥37 weeks), 1582 (10.6%) between 32 and 37 weeks, and 339 (2.3%) at less than 32 weeks. The majority of singleton infants born (88.2%; n = 13,233) were of normal birth weight (>2500 g), with 1170 (7.8%) weighing between 1501 and 2500 g, and 257 (1.7%) weighing less than 1500 g. Of the twin live-born infants (n = 5722), 2442 (42.7%) were at term, 2632 (46.0%) between 32 and 37 weeks, and 634 (11.1%) at less than 32 weeks.
Discussion
From 1996 to 2013, there was an increase in both the total number of IVF cycles in women ≥40 years and the proportion of cycles in this population among all cycles in women of all ages. During 2007 to 2013, the live birth rate did not improve significantly; however, for cycles resulting in a singleton live birth, perinatal outcomes were similar to the rest of the IVF population. The number of cycles per live birth exponentially increased with each successive year of maternal age. Although maternal age is the most significant determinant of live birth following IVF, we were able to identify other variables associated with successful outcomes.
In the last 8 years studied (2006–2013), the increase in the number of total cycles was driven by the number of frozen cycles almost tripling. They were 11.3% of all cycles in 2006 and 26.4% in 2013. The increase in the ratio of frozen to fresh cycles in this population likely reflects the growing practice of embryo freezing for a later transfer of thawed embryos [15]. This is commonly done to optimize either the endometrium or for aneuploidy screening, which often entails biopsying blastocyst embryos for PGS and then transferring the embryo(s) in a later frozen cycle in an effort to increase implantation rates and decrease miscarriage rates. NASS does not currently collect information on whether frozen embryos thawed for transfer underwent PGS, but the percentage of cycles that involved freezing all embryos in 2013 was 22.7%, with higher rates in older women (56.3% in women >44 years) [16].
Although there was a slight improvement in live birth rate from 1996 to 2013 in women ≥40 years, it has only varied slightly in the last 10 years. This finding is consistent with a recent Society for Assisted Reproductive Technology (SART) publication analyzing long-term trends in ART cycles that found no change in live birth rates since 2003 in women >42 years of age [17]. In addition, almost half of the positive pregnancy tests in our study ended in a first trimester loss or biochemical pregnancy. Among live-born singleton infants, however, adverse perinatal outcomes were the minority with 12.9% of infants born premature and 9.5% with low birth weight. These are similar to previously published rates among all ART singletons (13.3% rate of prematurity and 9.0% rate of low birth weight) [18]. The results are more encouraging than some other retrospective studies that found infants of older mothers were at higher risk for prematurity and low birth weight [12, 19], though the other studies included non-ART pregnancies whereas ours focuses solely on IVF pregnancies.
For women in their 40s, the number of fresh and frozen IVF cycles started per live birth increased substantially for each additional year of age at oocyte retrieval. These findings are consistent with prior literature that demonstrated decreasing live birth rates with incremental increases in age for women in their 40s [4, 6, 8]. The large number of unsuccessful IVF cycles in this older age group represents a large physical, financial, and emotional toll for women and their partners.
There are other variables aside from maternal age that were associated with positive outcomes. Some are intuitive and consistent with prior literature in older women, including the retrieval of more oocytes [5, 9, 20], the transfer of more embryos [4, 6, 21] at a more advanced embryonic stage, and the cryopreservation of more supernumerary embryos [22]. Similar to what has been seen previously [23], our study found that a lower gonadotropin dose was associated with higher rates of clinical pregnancy and live birth in the multivariable analysis. This could be attributed to the fact that patients with a higher ovarian reserve (and thus better prognosis) receive less gonadotropins; however, another study found lower live birth rates with higher doses of gonadotropins in other populations (e.g., good prognosis patients), irrespective of the number of oocytes retrieved [23].
Our study is one of the first to show the benefit of parity in an older population undergoing IVF. One recently published study of fecundability in a non-ART population similarly found that nulliparous women had lower fecundity [24]. Although some prior studies have indicated that older women with tubal factor [25] or ovulatory dysfunction [26] may have a reproductive advantage, we did not find this to be the case among women having transfers. No infertility diagnoses were associated with increased rates of live birth.
Our data represents a selected population of women who were thought to have enough ovarian reserve to proceed with IVF; we have no data regarding the number of women who were not able to access or initiate fertility care with autologous oocytes due to projected poor success. We can conclude, however, that there is an increased demand for fertility treatment in older women, as reflected by the rise in the proportion of cycles in women ≥40 years from 1996 to 2013. This increase may be attributable to an increase in the number of women ≥40 years seeking treatment, an increase in the number of cycles per woman, or both.
The primary limitation of our study is that the data are cycle-specific and not patient-specific. For example, Fig. 2 (number of IVF cycles started per live birth by maternal age at oocyte retrieval) cannot be used to predict the number of IVF cycles necessary to achieve a live birth in an individual. Also, Fig. 2 includes the 56% of the frozen cycles meeting our study criteria, as the other 44% could not be linked to their originating retrieval, which potentially could result in an under- or overestimation of the reported ratios. In addition, since data were not collected on whether PGS/PGD was performed for frozen cycles in the NASS, we were unable to include frozen cycles in the analyses of cycle characteristics and reproductive outcomes. We also had limited ovarian reserve data, although this is somewhat reflected in the number of oocytes retrieved.
Strengths of this study include the use of a large national database, which allowed for description of nationwide trends in IVF cycles among women ≥40 years and the ability to control for many variables that can influence IVF outcomes. A recent publication from the SART database analyzed the history of IVF and trends in IVF over the last two decades [17]. We were able to explore in detail a smaller subset of cycles among women ≥40 years, including the demographics of this population, cycle characteristics, factors associated with live birth, and perinatal outcomes. In addition, we were able to explore changes in practice patterns over time, such as the recent increase in the number and proportion of cycles using frozen embryos. Although ART success in this population is higher using donor oocytes, a genetically related child is often the initial goal of women embarking on fertility treatment. As the percentage of cycles in this group of women continues to increase, the identification of factors associated with higher live birth rates may facilitate option counseling and informed decisions prior to the initiation of treatment.
Compliance with ethical standards
The study was approved by the Institutional Review Board of the Centers for Disease Control and Prevention.
Funding
None.
Conflict of interest
Dr. Grainger receives speaking fees from Abbvie, Inc. and Shionogi, Inc. on topics unrelated to the study question.
Disclaimer
The findings and conclusions in this report are those of the authors and do not necessarily represent the official position of the Centers for Disease Control and Prevention.
References
- 1.Mills M, Rindfuss RR, McDonald P, te Velde E, Reproduction E, Society Task F Why do people postpone parenthood? Reasons and social policy incentives. Hum Reprod Update. 2011;17(6):848–860. doi: 10.1093/humupd/dmr026. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2.Martin JA, Hamilton BE, Osterman MJ, Curtin SC, Matthews TJ. Births: final data for 2013. Natl Vital Stat Rep. 2015;64(1):1–65. [PubMed] [Google Scholar]
- 3.Eijkemans MJ, van Poppel F, Habbema DF, Smith KR, Leridon H, te Velde ER. Too old to have children? Lessons from natural fertility populations. Hum Reprod. 2014;29(6):1304–1312. doi: 10.1093/humrep/deu056. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Klipstein S, Regan M, Ryley DA, Goldman MB, Alper MM, Reindollar RH. One last chance for pregnancy: a review of 2,705 in vitro fertilization cycles initiated in women age 40 years and above. Fertil Steril. 2005;84(2):435–445. doi: 10.1016/j.fertnstert.2005.02.020. [DOI] [PubMed] [Google Scholar]
- 5.Tsafrir A, Simon A, Revel A, Reubinoff B, Lewin A, Laufer N. Retrospective analysis of 1217 IVF cycles in women aged 40 years and older. Reprod BioMed Online. 2007;14(3):348–355. doi: 10.1016/S1472-6483(10)60878-4. [DOI] [PubMed] [Google Scholar]
- 6.Gleicher N, Vega MV, Darmon SK, Weghofer A, Wu YG, Wang Q, et al. Live-birth rates in very poor prognosis patients, who are defined as poor responders under the Bologna criteria, with nonelective single embryo, two-embryo, and three or more embryos transferred. Fertil Steril. 2015;104(6):1435–1441. doi: 10.1016/j.fertnstert.2015.08.023. [DOI] [PubMed] [Google Scholar]
- 7.Patrizio P, Sakkas D. From oocyte to baby: a clinical evaluation of the biological efficiency of in vitro fertilization. Fertil Steril. 2009;91(4):1061–1066. doi: 10.1016/j.fertnstert.2008.01.003. [DOI] [PubMed] [Google Scholar]
- 8.Serour G, Mansour R, Serour A, Aboulghar M, Amin Y, Kamal O, et al. Analysis of 2,386 consecutive cycles of in vitro fertilization or intracytoplasmic sperm injection using autologous oocytes in women aged 40 years and above. Fertil Steril. 2010;94(5):1707–1712. doi: 10.1016/j.fertnstert.2009.09.044. [DOI] [PubMed] [Google Scholar]
- 9.Orvieto R, Bar-Hava I, Yoeli R, Ashkenazi J, Rabinerson D, Bar J, et al. Results of in vitro fertilization cycles in women aged 43-45 years. Gynecol Endocrinol. 2004;18(2):75–78. doi: 10.1080/09513590310001651849. [DOI] [PubMed] [Google Scholar]
- 10.Maheshwari A, Scotland G, Bell J, McTavish A, Hamilton M, Bhattacharya S. Direct health services costs of providing assisted reproduction services in older women. Fertil Steril. 2010;93(2):527–536. doi: 10.1016/j.fertnstert.2009.01.115. [DOI] [PubMed] [Google Scholar]
- 11.Caplan AL, Patrizio P. Are you ever too old to have a baby? The ethical challenges of older women using infertility services. Semin Reprod Med. 2010;28(4):281–286. doi: 10.1055/s-0030-1255175. [DOI] [PubMed] [Google Scholar]
- 12.Salem Yaniv S, Levy A, Wiznitzer A, Holcberg G, Mazor M, Sheiner E. A significant linear association exists between advanced maternal age and adverse perinatal outcome. Arch Gynecol Obstet. 2011;283(4):755–759. doi: 10.1007/s00404-010-1459-4. [DOI] [PubMed] [Google Scholar]
- 13.Wennberg AL, Opdahl S, Bergh C, Aaris Henningsen AK, Gissler M, Romundstad LB, et al. Effect of maternal age on maternal and neonatal outcomes after assisted reproductive technology. Fertil Steril. 2016;106(5):1142–1149. doi: 10.1016/j.fertnstert.2016.06.021. [DOI] [PubMed] [Google Scholar]
- 14.Centers for Disease Control and Prevention, American Society for Reproductive Medicine, Society for Assisted Reproductive Technology . 2013 assisted reproductive technology fertility clinic success rates report. Atlanta: US Dept of Health and Human Services; 2015. [Google Scholar]
- 15.Kissin DM, Crawford S, Boulet SL. The status of public reporting of clinical outcomes in assisted reproductive technology. Fertil Steril. 2013;100(3):e16–e17. doi: 10.1016/j.fertnstert.2013.07.199. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Kushnir VA, Barad DH, Albertini DF, Darmon SK, Gleicher N. Effect of embryo banking on U.S. National Assisted Reproductive Technology Live Birth Rates. PLoS One. 2016;11(5):e0154620. doi: 10.1371/journal.pone.0154620. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Toner JP, Coddington CC, Doody K, Van Voorhis B, Seifer DB, Ball GD, et al. Society for Assisted Reproductive Technology and assisted reproductive technology in the United States: a 2016 update. Fertil Steril. 2016;106(3):541–546. doi: 10.1016/j.fertnstert.2016.05.026. [DOI] [PubMed] [Google Scholar]
- 18.Sunderam S, Kissin DM, Crawford SB, Folger SG, Jamieson DJ, Warner L, et al. Assisted Reproductive Technology Surveillance—United States, 2013. MMWR Surveill Summ. 2015;64(11):1–25. doi: 10.15585/mmwr.ss6411a1. [DOI] [PubMed] [Google Scholar]
- 19.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(2):e56583. doi: 10.1371/journal.pone.0056583. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Spandorfer SD, Bendikson K, Dragisic K, Schattman G, Davis OK, Rosenwaks Z. Outcome of in vitro fertilization in women 45 years and older who use autologous oocytes. Fertil Steril. 2007;87(1):74–76. doi: 10.1016/j.fertnstert.2006.05.081. [DOI] [PubMed] [Google Scholar]
- 21.Gunnala V, Reichman DE, Meyer L, Davis OK, Rosenwaks Z. Beyond the American Society for Reproductive Medicine transfer guidelines: how many cleavage-stage embryos are safe to transfer in women ≥43 years old? Fertil Steril. 2014;102(6):1626–1632. doi: 10.1016/j.fertnstert.2014.09.015. [DOI] [PubMed] [Google Scholar]
- 22.Hill MJ, Richter KS, Heitmann RJ, Lewis TD, DeCherney AH, Graham JR, et al. Number of supernumerary vitrified blastocysts is positively correlated with implantation and live birth in single-blastocyst embryo transfers. Fertil Steril. 2013;99(6):1631–1636. doi: 10.1016/j.fertnstert.2013.01.130. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.Baker VL, Brown MB, Luke B, Smith GW, Ireland JJ. Gonadotropin dose is negatively correlated with live birth rate: analysis of more than 650,000 assisted reproductive technology cycles. Fertil Steril. 2015;104(5):1145–1152. doi: 10.1016/j.fertnstert.2015.07.1151. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Steiner AZ, Jukic AM. Impact of female age and nulligravidity on fecundity in an older reproductive age cohort. Fertil Steril. 2016;105(6):1584–1588. doi: 10.1016/j.fertnstert.2016.02.028. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Malacova E, Kemp A, Hart R, Jama-Alol K, Preen DB. Effectiveness of in vitro fertilization in women with previous tubal sterilization. Contraception. 2015;91(3):240–244. doi: 10.1016/j.contraception.2014.12.001. [DOI] [PubMed] [Google Scholar]
- 26.Kalra SK, Ratcliffe SJ, Dokras A. Is the fertile window extended in women with polycystic ovary syndrome? Utilizing the Society for Assisted Reproductive Technology registry to assess the impact of reproductive aging on live-birth rate. Fertil Steril. 2013;100(1):208–213. doi: 10.1016/j.fertnstert.2013.02.055. [DOI] [PubMed] [Google Scholar]