Adamson, G. D., & Pasta, D. J. (2010). Endometriosis fertility index: the new, validated endometriosis staging system. Fertility and Sterility, 94(5), 1609-1615. https://doi.org/10.1016/j.fertnstert.2009.09.035
Adamson GD, Pasta DJ. Endometriosis fertility index: the new, validated endometriosis staging system. Fertility and Sterility. 2010;94(5):1609-1615. doi:10.1016/j.fertnstert.2009.09.035
Adamson, G. D., and D. J. Pasta. "Endometriosis fertility index: the new, validated endometriosis staging system." Fertility and Sterility, vol. 94, no. 5, 2010, pp. 1609-1615.
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To develop a clinical tool that predicts pregnancy rates (PRs) in patients with surgically documented endometriosis who attempt non-IVF conception.
Design
Prospective data collection on 579 patients and comprehensive statistical analysis to derive a new staging system--the endometriosis fertility index (EFI)--from data rather than a priori assumptions, followed by testing the EFI prospectively on 222 additional patients for correlation of predicted and actual outcomes.
Setting
Private reproductive endocrinology practice.
Patients
A total of 801 consecutively diagnosed and treated infertile patients with endometriosis.
Interventions
Surgical diagnosis and treatment followed by non-IVF fertility management.
Main Outcome Measures
The EFI and life table PRs.
Results
A statistically significant variable used to create the EFI was the least function score (i.e., the sum of those scores determined intraoperatively after surgical intervention that describe the function of the tube, fimbria, and ovary on both sides). Sensitivity analysis showed that the EFI varies little, even with variation in the assignment of functional scores, and predicted PRs.
Conclusions
The EFI is a simple, robust, and validated clinical tool that predicts PRs after endometriosis surgical staging. Its use provides reassurance to those patients with good prognoses and avoids wasted time and treatment for those with poor prognoses.
What were the rates of utilization, effectiveness, and safety for assisted reproductive technology (ART) throughout the world in 2017 and 2018, and what trends were observed? The total reported number of ART fresh and frozen cycles conducted in 83 participating countries was 2 913 498 in 2017 and 3 303 505 in 2018, with 5-year trends including an increasing proportion of cycles utilizing frozen embryo transfer (FET) and an increasing number of cycles utilizing pre-implantation genetic testing (PGT). Prior reports from the International Committee Monitoring ART (ICMART) have reported on the utilization, effectiveness, and safety of ART from participating countries, with an increase in the number of cycles and number of participating countries over time. These reports have described regional differences in the utilization of ART overall, as well as differences in the utilization of specific practices such as ICSI, PGT and single embryo transfer. Past reports demonstrated that rates of delivery per cycle have increased and rates of multiple gestations have decreased over time. STUDY DESIGN, SIZE, This retrospective, cross-sectional survey describes ART procedures performed globally in 2017 and 2018. Data were submitted to ICMART by participating countries from national or regional registries. PARTICIPANTS/MATERIALS, SETTING, There were 83 countries which provided data for cycles performed in 2017 or 2018, with the majority of countries providing data for both years. Aggregate data are reported for each participating country and analysed using methods developed by ICMART to calculate measures of utilization, effectiveness, and safety. MAIN A total of 2 913 498 cycles and 671 012 babies born were reported for treatment performed in 2017, increasing to 3 303 505 cycles and 728 383 babies born for treatment performed in 2018. After imputing data for non-reporting centres in reporting countries, the estimated number of cycles performed in 2017 was 3 107 188 resulting in an estimated 814 588 babies. For 2018, the estimated number of cycles was 3 568 635 resulting in an estimated 870 814 babies. Utilization of ICSI for autologous fresh non-PGT cycles declined slightly compared with 2014 (54.6% in 2017 and 57.3% in 2018 compared with 64.8% in 2014). The percentage of transfers which were of frozen embryos was 55.7 % in 2017 and 57.9% in 2018, up from 38.9% in 2014. Among all countries, including those which reported no 'freeze all' cycles, the percentage of 'freeze all' cycles was 30.5% in 2017 and 32.7% in 2018, up from 13.1% in 2014. In countries reporting at least one retrieval cycle in which all embryos were frozen, the percentage of retrievals with no fresh embryo transfer increased (36.2% in 2017 and 36.8% in 2018, up from 20.1% in 2014). The number of PGT cycles in 2018 (172 247) was nearly 5-fold higher than the number reported in 2014 (36 512) with wide regional variation in utilization of PGT observed. In 2017, the delivery rate for autologous oocytes was 23.5% per oocyte retrieval, with a cumulative delivery rate of 36.4% per retrieval (excluding cycles which utilized PGT). The delivery rates per embryo transfer were 31.8% per autologous fresh transfer, 32.5% per autologous frozen transfer, and 47.3% per transfer after PGT. The delivery rate for transfers utilizing donor oocytes was 33.1% (combined fresh transfer and frozen transfers). In 2018, the delivery rate for autologous oocytes was 23.8% per oocyte retrieval, with a cumulative delivery rate of 37.3% per retrieval (excluding cycles which utilized PGT). The delivery rates per embryo transfer were 31.3% per autologous fresh transfer, 31.9% per autologous frozen transfer, and 48.4% per transfer after PGT. The delivery rate for transfers utilizing donor oocytes was 34.3%. The multiple delivery rate with autologous fresh transfer was 19.7% in 2017, and 18.3% in 2018. For autologous FET, the multiple delivery rate was 16.2% in 2017, and 14.9% in 2018. With oocyte donation (combined fresh and frozen embryo transfers), the multiple delivery rate was 15.9% in 2017, and 13.4% in 2018. Finally, the multiple delivery rate for cycles utilizing PGT was 6.9% in 2017 and 5.5% in 2018. LIMITATIONS, The data and analysis presented are dependent on the quality and completeness of the data submitted to ICMART, which varies globally. There is little data from the Middle East and some countries in Asia. It is important to note that delivery rates per transfer after PGT required the availability of embryos suitable for transfer, and therefore should not be interpreted as suggesting that PGT increases the overall success of ART per oocyte retrieval. Because of an updated methodology in the calculation of delivery rates and number of babies born, direct comparisons with past reports for these metrics cannot be made. Data are observational and it
Measurement and Statistics · Instrument Development and Validation
Lin T et al., 2024·Fertility and sterility·Free to read
The World Endometriosis Research Foundation established the Endometriosis Phenome and Biobanking Harmonisation Project (EPHect) to create standardized documentation tools (with common data elements) to facilitate the comparison and combination of data across different research sites and studies. In 2014, 4 data research standards were published: clinician-reported surgical data, patient-reported clinical data, and fluid and tissue biospecimen collection. Our current objective is to create an EPHect standard for the clinician-reported physical examination (EPHect-PE) for research studies.
An international consortium involving 26 clinical and academic experts and patient partners from 11 countries representing 25 institutions and organizations. Two virtual workshops, followed by the development of the physical examination standards underwent multiple rounds of iterations and revisions.
N/A MAIN OUTCOME MEASURE(S): N/A RESULT(S): The EPHect-PE tool provides standardized assessment of physical examination characteristics and pain phenotyping. Data elements involve examination of back and pelvic girdle; abdomen including allodynia and trigger points; vulva including provoked vestibulodynia; pelvic floor muscle tone and tenderness; tenderness on unidigital pelvic examination; presence of pelvic nodularity; uterine size and mobility; presence of adnexal masses; presence of incisional masses; speculum examination; tenderness and allodynia at an extra-pelvic site (e.g., forearm); and recording of anthropometrics.
CONCLUSION(S): The EPHect-PE standards will facilitate the standardized documentation of the physical examination, including the assessment and documentation of examination phenotyping of endometriosis-associated pelvic pain.
Kupka MS et al., 2024·Fertility and Sterility·Free to read
To report utilization, effectiveness, and safety of assisted reproductive technologies in 2015 and 2016. A retrospective, cross-sectional survey of 3,103 assisted reproductive technology clinics in 74 countries in 2015 and 3,249 clinics in 79 countries in 2016 that submitted cycle and pregnancy outcome data through national and regional registries. Seventy-nine countries and >3,000 assisted reproductive technology clinics. PATIENT(S): Patients undergoing assisted reproductive technology procedures. INTERVENTION(S): Assisted reproductive technology. MAIN OUTCOME MEASURE(S): Outcomes on country, regional, and global levels. RESULT(S): Reported for 2015: 2,358,239 cycles with 548,652 infants born; for 2016: 2,807,963 cycles with 647,188 infants born. Estimated in 2015, ≥2,683,677 cycles resulted in >675,134 infants; in 2016, ≥3,100,448 cycles resulted in ≥723,026 infants. Reported cycles represent approximately 80% of global utilization. In 2015 and 2016, 27.6% and 27.8%, respectively, of women undergoing fresh autologous treatment cycles were aged ≥40 years. Frozen-thawed embryo transfer (ET) cycles accounted for 47.0% and 51.9%, respectively, of all ETs in 2015 and 2016. Oocyte donation cycles accounted for 6.7% and 7.1% of all ETs in 2015 and 2016. Intracytoplasmic sperm injection was performed in 57.7% and 56.4% of autologous aspiration cycles in 2015 and 2016, respectively. The cumulative delivery rate per aspiration cycle for fresh and frozen-thawed ET was 32.4% in 2015 and 33.1% in 2016, respectively. The average number of transferred embryos was 1.70 in 2015 and 1.69 in 2016. The proportion of single ETs in fresh autologous cycles increased from 42.1% in 2015 to 44.0% in 2016. The twin delivery rate decreased from 16.0% in 2015 to 14.7% in 2016, and the triplet rate decreased from 0.6% in 2015 to 0.4% in 2016. The proportion of single ETs in frozen-thawed ET autologous treatment cycles was 62.2% in 2015 and 64.2% in 2016, with twin and triplet rates of 10.1% and 0.3% in 2015 and 10.0% and 0.2% in 2016, respectively. CONCLUSION(S): Utilization of assisted reproductive technology treatment and births per cycle increased from 2015 to 2016, although multiple births were reduced. An increasing proportion of frozen-thawed ET cycles, continuing wide variation in use of intracytoplasmic sperm injection, and an increase in single ET rates are reported.
Hariton E et al., 2023·Fertility and Sterility·Free to read
The field of reproductive endocrinology and infertility (REI) is at a crossroads; there is a mismatch between demand for reproductive endocrinology, infertility and assisted reproductive technology (ART) services, and availability of care. This document's focus is to provide data justifying the critical need for increased provision of fertility services in the United States now and into the future, offer approaches to rectify the developing physician shortage problem, and suggest a framework for the discussion on how to meet that increase in demand. The Society of REI recommend the following: 1. Our field should aggressively explore and implement courses of action to increase the number of qualified, highly trained REI physicians trained annually. We recommend efforts to increase the number of REI fellowships and the size complement of existing fellowships be prioritized where possible. These courses of action include: a. Increase the number of REI fellowship training programs. b. Increase the number of fellows trained at current REI fellowship programs. c. The pros and cons of a 2-year focused clinical fellowship track for fellows interested primarily in ART practice were extensively explored. We do not recommend shortening the REI fellowship to 2 years at this time, because efforts should be focused on increasing the number of fellowship training slots (1a and b). 2. It is recommended that the field aggressively implements courses of action to increase the number of and appropriate usage of non-REI providers to increase clinical efficiency under appropriate board-certified REI physician supervision. 3. Automating processes through technologic improvements can free providers at all levels to practice at the top of their license.
Schliep KC et al., 2017·BJOG·Free full text on PubMed Central
To determine agreement on endometriosis diagnosis between real-time laparoscopy and subsequent expert review of digital images, operative reports, magnetic resonance imaging (MRI), and histopathology, viewed sequentially.
Inter-rater agreement study.
Five urban surgical centres. Population: Women, aged 18-44 years, who underwent a laparoscopy regardless of clinical indication. A random sample of 105 women with and 43 women without a postoperative endometriosis diagnosis was obtained from the ENDO study. Laparoscopies were diagnosed, digitally recorded, and reassessed. Inter-observer agreement of endometriosis diagnosis and staging according to the revised American Society for Reproductive Medicine criteria. Prevalence and bias-adjusted kappa values (κ) were calculated for diagnosis, and weighted κ values were calculated for staging. Surgeons and expert reviewers had substantial agreement on diagnosis and staging after viewing digital images (n = 148; mean κ = 0.67, range 0.61-0.69; mean κ = 0.64, range 0.53-0.78, respectively) and after additionally viewing operative reports (n = 148; mean κ = 0.88, range 0.85-0.89; mean κ = 0.85, range 0.84-0.86, respectively). Although additionally viewing MRI findings (n = 36) did not greatly impact agreement, agreement substantially decreased after viewing histological findings (n = 67), with expert reviewers changing their assessment from a positive to a negative diagnosis in up to 20% of cases. Although these findings suggest that misclassification bias in the diagnosis or staging of endometriosis via visualised disease is minimal, they should alert gynaecologists who review operative images in order to make decisions on endometriosis treatment that operative reports/drawings and histopathology, but not necessarily MRI, will improve their ability to make sound judgments. Tweetable Abstract: Endometriosis diagnosis and staging agreement between expert reviewers and operating surgeons was substantial.
Alfaraj S et al., 2021·Journal of minimally invasive gynecology
Endometriosis fertility index (EFI) is a robust tool to predict the pregnancy rate in patients with endometriosis who are attempting non-in vitro fertilization conception. However, EFI calculation requires laparoscopy. Newly established imaging techniques such as sliding sign, which is used to diagnose pouch of Douglas obliteration, could provide a promising alternative. The objective of this study was to investigate the practicality of using ultrasound data to predict a low EFI (score ≤6).
Observational study from a prospective registry (Endometriosis Pelvic Pain Interdisciplinary Cohort, clinicaltrials.gov #NCT02911090). Analyzed data were captured from December 2013 to June 2017.
Tertiary referral center at British Columbia Women's Hospital.
We analyzed data for 2583 participants from the Endometriosis Pelvic Pain Interdisciplinary Cohort. In this cross-sectional study, we included 86 women aged <40 years.
Dynamic ultrasonography for the sliding sign testing and EFI calculation during laparoscopic surgery.
Logistic regression was used to obtain receiver operating characteristic area under the curve (AUC) for the prediction models. Significance was p <.05. Patients with a negative sliding sign were older and had severe endometriosis and longer duration of infertility. Patients with a negative sliding sign had significantly lower total EFI scores and lower surgical factors scores than patients with a positive sliding sign. Logistic regression showed that a negative sliding sign and EFI historic factors score can predict an EFI score ≤6 (sensitivity = 87.9%, specificity = 81.1%, AUC = 0.93 [95% confidence interval, 0.88-0.98]). Adding the diagnosis of endometrioma to the previous prediction model resulted in AUC = 0.95 (95% confidence interval, 0.90-0.995), sensitivity = 84.8%, and specificity = 92.5%.
The sliding sign could be a potential alternative to the EFI surgical factors, and it could be used in combination with EFI historic factors and the diagnosis of endometrioma to predict an EFI score ≤6 for patients who are not scheduled for immediate surgery.
To determine whether the surgical diagnosis of endometriosis can be predicted using symptoms, signs, and ultrasound findings. Prospective study (study sample); retrospective record review (test sample). Hospital of Desio (study sample) and Mangiagalli Hospital (test sample), Italy. PATIENT(S): Ninety women scheduled to undergo laparoscopy or laparotomy (study sample); 120 women who underwent laparoscopy (test sample). The study sample group was interviewed before surgery about infertility and dysmenorrhea, dyspareunia, and noncyclic pelvic pain and each member had a pelvic examination and a transvaginal ultrasound. At surgery, endometriosis was noted. For the test sample, the same information was abstracted from medical records after laparoscopy. MAIN OUTCOME MEASURE(S): The ability of symptoms, signs, and ultrasound to predict endometriosis at surgery. A classification tree was developed with the study sample and evaluated with the test sample. RESULT(S): Ovarian endometriosis, but not nonovarian endometriosis, could be reliably predicted with noninvasive tools. Ultrasound and examination best predicted ovarian endometriosis, correctly classifying 100% of cases with no false positive diagnoses in the study sample. Similar results were found in the test sample. CONCLUSION(S): Noninvasive tools may be used to identify women with ovarian, but not nonovarian endometriosis, with excellent agreement with surgical diagnosis.
Predictive tools are lacking for pain-related outcomes after endometriosis surgery. The objective of this study was to develop and validate a machine learning-based clinical model to predict poor pain-related quality of life after endometriosis surgery. Registry data from a prospective longitudinal cohort at a tertiary referral center (2013-2020) was used for model development and validation. Participants underwent an index endometriosis surgery, and completed the pain subscale of the Endometriosis Health Profile-30 (EHP-30) at baseline and 1-2-year follow-up. The outcome was poor pain-related quality of life defined as EHP-30 pain subscale above the 75th percentile for North America, at 1 to 2 years postsurgery. Thirty-two preoperative factors were evaluated, with final models retaining the top 10 most important predictors. Elastic net logistic regression, random forest (RF) and multilayer perceptron neural network models were developed. Internal validation was performed using 500 bootstrap samples, and a held-out test cohort. The study included 650 488 in the training cohort and 162 in a held-out test cohort. The RF model exhibited the most consistent discrimination, measured by the area under the receiver operating characteristic curve, between the training cohort (0.768; 95% CI: 0.690-0.837) and test cohort (0.766; 95% CI: 0.676-0.863, Δ = -0.002). The RF model also demonstrated the best integrated calibration index (0.029) and highest net benefit. Final preoperative predictors for the RF model included baseline EHP-30 score, surgery type (conservative fertility-sparing vs hysterectomy), anxiety scores, depression scores, pain catastrophizing scale scores, abdominal wall pain, pelvic floor myalgia, smoking status, back pain, and race/ethnicity. We present the RF model as the Endometriosis Pain Index to aid preoperative counselling for endometriosis surgery.
Research Methods › Measurement and Statistics › Instrument Development and Validation · Endometriosis › Fertility and Outcomes › Conception After Excision · Clinical Guidelines and Standards › Diagnostic Criteria and Classification › Staging and Classification Systems
G David Adamson, David J Pasta
Dave Pasta, D Pasta
PMID 19931076 19931076 DOI 10.1016/j.fertnstert.2009.09.035 10.1016/j.fertnstert.2009.09.035 Adamson et al. 2010, Adamson 2010
Cite this article
Adamson, G. D., & Pasta, D. J. (2010). Endometriosis fertility index: the new, validated endometriosis staging system. Fertility and Sterility, 94(5), 1609-1615. https://doi.org/10.1016/j.fertnstert.2009.09.035
Adamson GD, Pasta DJ. Endometriosis fertility index: the new, validated endometriosis staging system. Fertility and Sterility. 2010;94(5):1609-1615. doi:10.1016/j.fertnstert.2009.09.035
Adamson, G. D., and D. J. Pasta. "Endometriosis fertility index: the new, validated endometriosis staging system." Fertility and Sterility, vol. 94, no. 5, 2010, pp. 1609-1615.
