Patient-completed or symptom-based screening tools for endometriosis: a scoping review

Acceptability of using the Raising Awareness Tool for Endometriosis (RATE) in general practice: a mixed methods pilot study

AIMS

The Raising Awareness Tool for Endometriosis (RATE) was developed to facilitate discussions with health providers regarding endometriosis-associated symptoms. We aim to evaluate the acceptability of the RATE by general practitioners (GP), including determining the prevalence of symptoms of women presenting to general practice and immediate management of symptoms.

METHODS

A mixed-methods study was undertaken using a combination of quantitative and qualitative data in Western Australian General Practices from 2021 to 2022. A purposive sample of 12 GPs were included, who recruited women (18-50 years) on attendance for consultation over a one- to two-week period, followed by qualitative interviews exploring GPs' experiences with the tool. The quantitative and qualitative components were integrated during analysis of results.

RESULTS

A total of 111 women completed the RATE (mean: 33, standard deviation: 8.6 years) prior to routine consultation. The tool was considered to be acceptable for use in general practice and aided discussions on symptoms and management. Overall, 68.5% of patients experienced pelvic pain or discomfort, with 22.4% rating that this interfered with quality of life. Of those with pelvic pain, 75% had associated chronic pain conditions, and 42.1% reported allodynia. The chronic pain questions provoked GP uncertainty. After symptoms were identified, GPs arranged individualised investigations and follow-up.

CONCLUSIONS

The RATE was considered to be acceptable for use in the general practice setting. It identified symptoms and initiated discussions on possible diagnosis as well as management of endometriosis. Further GP education on identifying those women at most risk of developing chronic pain syndromes is needed.

Laying the Groundwork: A Pilot Study Exploring Improved Endometriosis Management Strategies in Primary Healthcare

Objective

To evaluate if a brief educational intervention for primary health care staff regarding endometriosis gives sustainable knowledge of endometriosis symptoms and if a brief questionnaire for women seeking care for common symptoms is feasible in the Swedish primary care context.

Design

Pilot study.

Setting

3 primary care centres (PCCs) in Sweden. Exploring knowledge among staff about endometriosis at baseline and 3 months after an information workshop. Evaluation of feasibility of a brief questionnaire for women seeking care for common symptoms For PCC personnel: knowledge about endometriosis at baseline and after 3 months. For patient questionnaire: whether adequate, understandable, acceptable, and feasible.

Participants

Females in primary care centre waiting room, and staff members at participating PCCs.

Results

The knowledge level of endometriosis was improved or sustained after 3 months compared to baseline among staff at PCCs. Over 90% of the patients stated that the questionnaire was adequate, understandable, acceptable, and feasible.

Conclusion

We found that an educational programme improved the staff's knowledge about endometriosis. The programme together with the patient questionnaire could be a way to enhance knowledge about endometriosis among PCCs. This combined effort might facilitate earlier detection and treatment of women with endometriosis.

Nonsurgical approaches to the diagnosis and evaluation of endometriosis

An inability to make the diagnosis of endometriosis or evaluate lesion response to treatment without surgery is a clear impediment to understanding the disease and to developing new therapies. The need is particularly strong for rASRM Stage 1 or 2 disease, since higher stage (rASRM Stage 3 or 4) endometriosis can often be diagnosed by ultrasound or other imaging techniques. Despite promising findings in association studies, no biomarkers or nonsurgical diagnostic or evaluation methods for Stage 1 or Stage 2 endometriosis has yet been clinically validated. Admittedly, validation is difficult, since surgery is required as a gold standard diagnostic method for comparison. This manuscript is aimed as a succinct review of what is known about nonsurgical approaches to detect and assess endometriosis, with an emphasis on Stage 1 and 2.

Endometriosis Predictive Models Based on Self-Assessment Questionnaire, Evidence from Clinical Examination or Imaging Findings: A Narrative Review

OBJECTIVE

The aim of this narrative review is to evaluate existing questionnaires on predictive models for endometriosis. These symptom-based models have the potential to serve as screening tools for adult women to detect endometriosis.

DATA SOURCES

A comprehensive search of PubMed and Embase databases was conducted to identify studies on endometriosis screening.

SELECTION OF STUDIES

The search targeted predictive models for endometriosis localisation, bowel involvement, need for bowel surgery and fertility. Due to the heterogeneity identified, a systematic review was not possible. A total of 23 studies were identified.

DATA EXTRACTION AND SYNTHESIS

Among these studies, twelve included measures for general endometriosis, two targeted specific sites, four focused on deep infiltrating endometriosis (DIE), and three addressed the need for endometriosis-related bowel surgery. Many measures combined clinical, imaging and laboratory tests with patient questionnaires. Validation of these models as screening tools was lacking in all studies, as the focus was on diagnosis rather than screening.

CONCLUSION

This review did not identify any fully validated, symptom-based questionnaires for endometriosis screening in adult women. Substantial validation work remains to establish the efficacy of such tools.

The psychometric properties test of the Malay version of the endometriosis health profile-30

OBJECTIVES

To validate and determine the psychometric properties of the Malay version of the endometriosis health profile-30 (EHP-30) by confirmatory factor analysis.

METHODS

A cross-sectional study was carried out in the main city of Malaysia at a tertiary teaching hospital between January to April 2021. A total of 218 women diagnosed with endometriosis symptoms were recruited using the universal sampling method to answer the questionnaire.

RESULTS

The revised Malay version of the EHP-30 with 28 items demonstrated that the factor loading of the 28 items had an acceptable value range between 0.60-0.90. The model fit was acceptable after the inclusion of 28 items correlated errors of the root mean square of error approximation: 0.072, 90% confidence interval: [0.065-0.080], comparative fit index (0.939), Tucker-Lewis index (0.932), and Chi-square/degrees of Freedom (2.135). The Cronbach's alpha ranged from 0.89-0.97. Concurrent validity for the composite reliability was between 0.88-0.96, while the average variance extracted was between 0.65-0.74.

CONCLUSION

This revised Malay version of the EHP-30 is a reliable and valid tool that can be used for the next study.

Validation of a Salivary miRNA Signature of Endometriosis - Interim Data

BACKGROUND: The discovery of a saliva-based micro–ribonucleic acid (miRNA) signature for endometriosis in 2022 opened up new perspectives for early and noninvasive diagnosis of the disease. The 109-miRNA saliva signature is the product of miRNA biomarkers and artificial intelligence (AI) modeling. We designed a multicenter study to provide external validation of its diagnostic accuracy. We present here an interim analysis. METHODS: The first 200 patients included in the multicenter prospective ENDOmiRNA Saliva Test study (NCT05244668) were included for interim analysis. The study population comprised women from 18 to 43 years of age with a formal diagnosis of endometriosis or with suspected endometriosis. Epidemiologic, clinical, and saliva sequencing data were collected between November 2021 and March 2022. Genomewide miRNA expression profiling by small RNA sequencing using next-generation sequencing (NGS) was performed, and a random forest algorithm was used to assess the diagnostic accuracy. RESULTS: In this interim analysis of the external validation cohort, with a population prevalence of 79.5%, the 109-miRNA saliva diagnostic signature for endometriosis had a sensitivity of 96.2% (95% confidence interval [CI], 93.7 to 97.3%), specificity of 95.1% (95% CI, 85.2 to 99.1%), positive predictive value of 95.1% (95% CI, 85.2 to 99.1%), negative predictive value of 86.7% (95% CI, 77.6 to 90.3%), positive likelihood ratio of 19.7 (95% CI, 6.3 to 108.8), negative likelihood ratio of 0.04 (95% CI, 0.03 to 0.07), and area under the receiver operating characteristic curve of 0.96 (95% CI, 0.92 to 0.98). CONCLUSIONS: The use of NGS and AI in the sequencing and analysis of miRNA provided a saliva-based miRNA signature for endometriosis. Our interim analysis of a prospective multicenter external validation study provides support for its ongoing investigation as a diagnostic tool. (Funded by Ziwig and the Conseil Régional d’Ile de France [Grant EX024087]; ClinicalTrials.gov number, NCT05244668.)

Short review on Adverse Childhood Experiences, Pelvic Pain and Endometriosis

The exposure to adverse childhood experiences has been associated with the subsequent development of several chronic health conditions, including pelvic pain. Endometriosis is a chronic disease characterized by the growth of endometrial-like tissue outside of the uterus, and is considered a common cause of chronic pelvic pain and infertility in reproductive-age women. However, the topic of pelvic pain and endometriosis is fraught with many challenges. This applies not just to clinical practice but also to research where many inconsistencies relating to pelvic pain and endometriosis definitions are encountered. A review was carried out for articles exploring the association of adverse childhood experiences and endometriosis. Studies addressing self-reported endometriosis suggested a relationship with childhood adversity, whilst papers relying on surgically diagnosed lesions of endometriosis irrespective of clinical presentation did not. This highlights the potential bias associated with the inconsistent use of the expression "endometriosis" in research.

Self-report symptom-based endometriosis prediction using machine learning

Endometriosis is a chronic gynecological condition that affects 5-10% of reproductive age women. Nonetheless, the average time-to-diagnosis is usually between 6 and 10 years from the onset of symptoms. To shorten time-to-diagnosis, many studies have developed non-invasive screening tools. However, most of these studies have focused on data obtained from women who had/were planned for laparoscopy surgery, that is, women who were near the end of the diagnostic process. In contrast, our study aimed to develop a self-diagnostic tool that predicts the likelihood of endometriosis based only on experienced symptoms, which can be used in early stages of symptom onset. We applied machine learning to train endometriosis prediction models on data obtained via questionnaires from two groups of women: women who were diagnosed with endometriosis and women who were not diagnosed. The best performing model had AUC of 0.94, sensitivity of 0.93, and specificity of 0.95. The model is intended to be incorporated into a website as a self-diagnostic tool and is expected to shorten time-to-diagnosis by referring women with a high likelihood of having endometriosis to further examination. We also report the importance and effectiveness of different symptoms in predicting endometriosis.

Endometriosis-associated infertility diagnosis based on saliva microRNA signatures

RESEARCH QUESTION

Can a saliva-based miRNA signature for endometriosis-associated infertility be designed and validated by analysing the human miRNome?

DESIGN

The prospective ENDOmiARN study (NCT04728152) included 200 saliva samples obtained between January 2021 and June 2021 from women with pelvic pain suggestive of endometriosis. All patients underwent either laparoscopy, magnetic resonance imaging, or both. Patients diagnosed with endometriosis were allocated to one of two groups according to their fertility status. Data analysis consisted of identifying a set of miRNA biomarkers using next-generation sequencing, and development of a saliva-based miRNA signature of infertility among patients with endometriosis based on a random forest model.

RESULTS

Among the 153 patients diagnosed with endometriosis, 24% (n = 36) were infertile and 76% (n = 117) were fertile. Small RNA-sequencing of the 153 saliva samples yielded approximately 3712 M raw sequencing reads (from ∼13.7 M to ∼39.3 M reads/sample). Of the 2561 known miRNAs, the feature selection method generated a signature of 34 miRNAs linked to endometriosis-associated infertility. After validation, the most accurate signature model had a sensitivity, specificity and area under the curve of 100%.

CONCLUSION

A saliva-based miRNA signature for endometriosis-associated infertility is reported. Although the results still require external validation before using the signature in routine practice, this non-invasive tool is likely to have a major effect on care provided to women with endometriosis.

Emotional dysregulation in women with endometriosis with cyclical and non-cyclical chronic pelvic pain

BACKGROUND

Endometriosis is a pathophysiological condition characterized by glands and stroma outside the uterus in regions such as the bladder, ureter, fallopian tubes, peritoneum, ovaries, and even in extra pelvic sites. One of the main clinical problems of endometriosis is chronic pelvic pain (CPP), which considerably affects the patients' quality of life. Patients with endometriosis may, cyclically or non-cyclically (80% of cases) experience CPP. High levels of anxiety and depression have been described in patients with endometriosis related to CPP; however, this has not been evaluated in endometriosis women with different types of CPP. Therefore, the research question of this study was whether there is a difference in the emotional dysregulation due to the type of pain experienced by women with endometriosis?

METHODS

This work was performed in the National Institute of Perinatology (INPer) in Mexico City from January 2019 to March 2020 and aimed to determine if there are differences in emotional dysregulation in patients with cyclical and non-cyclical CPP. 49 women from 18 to 52 years-old diagnosed with endometriosis presenting cyclical and non-cyclical CPP answered several batteries made up of Mini-Mental State Examination, Visual Analog Scale, Beck's Depression Inventory, State Trait-Anxiety Inventory, and Generalized Anxiety Inventory. Mann-Whitney U and Student's t-test for independent samples to compare the difference between groups was used. Relative risk estimation was performed to determine the association between non-cyclical and cyclical CPP with probability of presenting emotional dysregulation.

RESULTS

We observed that patients with non-cyclical CPP exhibited higher levels of depression and anxiety (trait-state and generalized anxiety) than patients with cyclical pain, p < 0.05 was considered significant. No differences were observed in pain intensity, but there was a higher probability of developing emotional dysregulation (anxiety or depression) in patients with non-cyclical CPP. No differences were observed in cognitive impairment.

CONCLUSIONS

Our data suggest that patients with non-cyclical (persistent) CPP present a higher emotional dysregulation than those with cyclical pain.

The Utility and Impact of the Painful Periods Screening Tool (PPST) to Improve Healthcare Delivery for People with Symptoms of Pelvic Pain

The objective of this study was to evaluate the utility and impact of the Painful Periods Screening Tool (PPST) to improve healthcare delivery for people with symptoms of pelvic pain. The design of this study was a survey study. After IRB approval, patients aged 18-55 years with self-reported pelvic, abdominal, or lower back pain before, during, or after menstrual periods were invited to participate in the study from September 2020 to June 2021. Participants filled out the PPST questionnaire on the day of their Johns Hopkins clinic visit and the follow-up questionnaire 1-14 days after the clinic visit. Demographics and duration of pain were assessed, and participants who completed the PPST questionnaire were sent a follow-up questionnaire to assess utility and impact of PPST. Of the 1352 patients who met study eligibility, 1000 participants responded to both questionnaires. Most subjects (82.9%; 95% CI: 80.4-85.2%) reported having severe pelvic/abdominal or lower back pain during menses. Nine hundred fifteen participants (91.5%; 95% CI: 89.6-93.2%) reported that if given regularly, the PPST would help women discuss their pain symptoms with their healthcare provider. Six hundred seventy-eight participants (67.8%; 95% CI: 64.8-70.7%) reported that the PPST helped them initiate a conversation about their symptoms. Seven hundred seven participants (70.7%; 95% CI: 67.8-73.5%) were more comfortable discussing symptoms of pelvic pain with their provider after filling out the PPST. These findings support the utility of PPST as an endometriosis screening tool and suggest that this tool facilitated communication between patients and providers about pain symptoms.

The Association between Childhood Adversity and Risk of Dysmenorrhea, Pelvic Pain, and Dyspareunia in Adolescents and Young Adults: A Systematic Review

PURPOSE

Exposure to adverse childhood experiences (ACEs) has been associated with poor health outcomes, including chronic pain. However, little is known about the potential impact on the development of pelvic pain in adolescents and young adults. This systematic review was conducted to explore the association between ACEs and dysmenorrhea, pelvic pain, and dyspareunia in adolescents and young adults.

METHODS

Medline, Embase, and PsycNET were searched, using keywords related to childhood adversity, dysmenorrhea, pelvic pain, and dyspareunia.

RESULTS

Of the 566 articles identified, 19 studies were included. There was an association between the number and severity of ACEs and the risk of dysmenorrhea. Sexual abuse and posttraumatic stress disorder appeared to be associated with dysmenorrhea, pelvic pain, and dyspareunia, but it was unclear whether this relationship was mediated by poorer mental health. No association was found for immigration and bullying, and findings were inconsistent regarding female genital mutilation, parental separation, and parental death.

CONCLUSIONS

Future research should include longitudinal follow-up and use validated tools to assess childhood adversity. A greater understanding of the risk of ACEs among adolescents and young adults with dysmenorrhea, chronic pelvic pain, and dyspareunia could provide insight into the development of these conditions.

Primary dysmenorrhoea in adolescents and young women: A twin family study of maternal transmission, genetic influence and associations

AIMS

The extent to which maternal transmission of primary dysmenorrhoea is genetically determined in adolescents and young women has yet to be determined. We aimed to assess heritability and associations relevant to primary pain syndromes using a twin family study.

METHODS

Participants were young menstruating female twins, and their oldest sisters and mothers, whose families were registered with Twins Research Australia and previously participated in a twin family study of primary paediatric pain disorders. Questionnaire packs were mailed, assessing current maximum and average menstrual pain intensity, current pain interference with activities and retrospective dysmenorrhea secondary symptoms.

RESULTS

The sample comprised 206 twin individuals (57 monozygous (MZ) and 46 dizygous (DZ) pairs) aged 10-22 years, eldest siblings (n = 38) aged 13-28 years and mothers (n = 101) aged 32-61 years. The estimated regression coefficient of the relationship between mother-daughter and twin-sibling dyads indicated significant associations for the measures of dysmenorrhea and supported heritability. Adjusted for age, the within twin-pair correlation for MZ twins was generally more than twice that of DZ twins. Heritability estimates were maximal pain intensity 0.67 (P = 3.8 × 10^-11 ), average pain intensity 0.63 (P = 3.7 × 10^-10 ), pain interference 0.57 (P = 1.8 × 10^-8 ) and retrospective symptoms 0.57 (P = 1.8 × 10^-8 ). Twin individuals with a lifetime (three-month) history of iron deficiency and those with painless restless legs syndrome (RLS) were significantly more likely to have more intense pain associated with menstruation.

CONCLUSION

Primary dysmenorrhea in adolescents and young women was shown to be relatively strongly genetically influenced and associated especially with a history of iron deficiency and painless RLS which have potential therapeutic implications.

Development of an endometriosis self-assessment tool for patient

Objective

This study aimed to develop and verify an endometriosis self-assessment tool (ESAT).

Methods

A non-experimental, descriptive, correlational study design was used. Candidate items were developed based on a conceptual framework constructed using the results of in-depth interviews and an integrative literature review. The construct validity of the developed tool was also examined. One-hundred and forty-two participants (117 patients with endometriosis and 25 patients without endometriosis) were included in the validity and reliability tests. The data were collected between August and December 2018. Nomological validity was verified based on significant correlations between the ESAT and the quality-of-life scores.

Results

A 21-item ESAT was developed, and its construct validity was supported. Exploratory factor analysis indicated that the tool consisted of four components (gastrointestinal symptoms, dysmenorrhea, usual symptoms, and the amount and characteristics of menstrual bleeding) with a variance of 61.6%. The variance in quality-of-life scores, as explained by the ESAT scores, was relatively high. Receiver operator characteristics curve analysis indicated that ESAT scores significantly differentiated endometriosis from non-endometriosis with fair discriminatory power at a cut-off score of 50 (sensitivity, 0.76; specificity, 0.72; area under the curve, >0.75; P<0.001). This means that patients with ESAT scores >50 points were more likely to have endometriosis. Thus, the reliability of the ESAT was confirmed.

Conclusion

The devised tool appears valid and reliable. This tool may allow women to determine their risk of endometriosis by distinguishing between normal and pathological menstruation-related symptoms.

MicroRNome analysis generates a blood-based signature for endometriosis

Endometriosis, characterized by endometrial-like tissue outside the uterus, is thought to affect 2–10% of women of reproductive age: representing about 190 million women worldwide. Numerous studies have evaluated the diagnostic value of blood biomarkers but with disappointing results. Thus, the gold standard for diagnosing endometriosis remains laparoscopy. We performed a prospective trial, the ENDO-miRNA study, using both Artificial Intelligence (AI) and Machine Learning (ML), to analyze the current human miRNome to differentiate between patients with and without endometriosis, and to develop a blood-based microRNA (miRNA) diagnostic signature for endometriosis. Here, we present the first blood-based diagnostic signature obtained from a combination of two robust and disruptive technologies merging the intrinsic quality of miRNAs to condense the endometriosis phenotype (and its heterogeneity) with the modeling power of AI. The most accurate signature provides a sensitivity, specificity, and Area Under the Curve (AUC) of 96.8%, 100%, and 98.4%, respectively, and is sufficiently robust and reproducible to replace the gold standard of diagnostic surgery. Such a diagnostic approach for this debilitating disorder could impact recommendations from national and international learned societies.

Salivary MicroRNA Signature for Diagnosis of Endometriosis

BACKGROUND

Endometriosis diagnosis constitutes a considerable economic burden for the healthcare system with diagnostic tools often inconclusive with insufficient accuracy. We sought to analyze the human miRNAome to define a saliva-based diagnostic miRNA signature for endometriosis.

METHODS

We performed a prospective ENDO-miRNA study involving 200 saliva samples obtained from 200 women with chronic pelvic pain suggestive of endometriosis collected between January and June 2021. The study consisted of two parts: (i) identification of a biomarker based on genome-wide miRNA expression profiling by small RNA sequencing using next-generation sequencing (NGS) and (ii) development of a saliva-based miRNA diagnostic signature according to expression and accuracy profiling using a Random Forest algorithm.

RESULTS

Among the 200 patients, 76.5% (n = 153) were diagnosed with endometriosis and 23.5% (n = 47) without (controls). Small RNA-seq of 200 saliva samples yielded ~4642 M raw sequencing reads (from ~13.7 M to ~39.3 M reads/sample). Quantification of the filtered reads and identification of known miRNAs yielded ~190 M sequences that were mapped to 2561 known miRNAs. Of the 2561 known miRNAs, the feature selection with Random Forest algorithm generated after internally cross validation a saliva signature of endometriosis composed of 109 miRNAs. The respective sensitivity, specificity, and AUC for the diagnostic miRNA signature were 96.7%, 100%, and 98.3%.

CONCLUSIONS

The ENDO-miRNA study is the first prospective study to report a saliva-based diagnostic miRNA signature for endometriosis. This could contribute to improving early diagnosis by means of a non-invasive tool easily available in any healthcare system.

Machine learning algorithms as new screening approach for patients with endometriosis

Endometriosis—a systemic and chronic condition occurring in women of childbearing age—is a highly enigmatic disease with unresolved questions. While multiple biomarkers, genomic analysis, questionnaires, and imaging techniques have been advocated as screening and triage tests for endometriosis to replace diagnostic laparoscopy, none have been implemented routinely in clinical practice. We investigated the use of machine learning algorithms (MLA) in the diagnosis and screening of endometriosis based on 16 key clinical and patient-based symptom features. The sensitivity, specificity, F1-score and AUCs of the MLA to diagnose endometriosis in the training and validation sets varied from 0.82 to 1, 0–0.8, 0–0.88, 0.5–0.89, and from 0.91 to 0.95, 0.66–0.92, 0.77–0.92, respectively. Our data suggest that MLA could be a promising screening test for general practitioners, gynecologists, and other front-line health care providers. Introducing MLA in this setting represents a paradigm change in clinical practice as it could replace diagnostic laparoscopy. Furthermore, this patient-based screening tool empowers patients with endometriosis to self-identify potential symptoms and initiate dialogue with physicians about diagnosis and treatment, and hence contribute to shared decision making.

Computational Models for Diagnosing and Treating Endometriosis

Endometriosis is a common but poorly understood disease. Symptoms can begin early in adolescence, with menarche, and can be debilitating. Despite this, people often suffer several years before being correctly diagnosed and adequately treated. Endometriosis involves the inappropriate growth of endometrial-like tissue (including epithelial cells, stromal fibroblasts, vascular cells, and immune cells) outside of the uterus. Computational models can aid in understanding the mechanisms by which immune, hormone, and vascular disruptions manifest in endometriosis and complicate treatment. In this review, we illustrate how three computational modeling approaches (regression, pharmacokinetics/pharmacodynamics, and quantitative systems pharmacology) have been used to improve the diagnosis and treatment of endometriosis. As we explore these approaches and their differing detail of biological mechanisms, we consider how each approach can answer different questions about endometriosis. We summarize the mathematics involved, and we use published examples of each approach to compare how researchers: (1) shape the scope of each model, (2) incorporate experimental and clinical data, and (3) generate clinically useful predictions and insight. Lastly, we discuss the benefits and limitations of each modeling approach and how we can combine these approaches to further understand, diagnose, and treat endometriosis.

Early identification of women with endometriosis by means of a simple patient-completed questionnaire screening tool: a diagnostic study

OBJECTIVES

To assess the value of a self-completed questionnaire based on patients' verbal descriptors of pelvic painful symptoms to identify women with endometriosis.

DESIGN

Prospective 1:2 nonmatched case-control study.

SETTING

Three French endometriosis referral centers.

PATIENT(S)

Endometriosis cases were women aged 18-45 years with endometriosis confirmed by histology. Controls were as follows: asymptomatic women attending a gynecologic consultation for routine examination; women without evidence of endometriosis consulting for pain/infertility; and population-based controls from the same urban locations.

INTERVENTION(S)

All women completed the 21-item yes/no questionnaire about painful symptoms.

MAIN OUTCOME MEASURE(S)

The area under the receiver operating characteristic curve of the full question set model based on binary logistic regression and the diagnostic accuracy of low- and high-risk classification rules based on selected threshold of the prediction model.

RESULT(S)

We included 105 cases and 197 controls (45 asymptomatic consultation-based controls, 66 women without endometriosis consulting for pain/infertility, and 86 population-based controls). The full question set prediction model, including age, had an area under the receiver operating characteristic curve of 0.92 (95% confidence interval, 0.87-0.95) after internal validation. The high-risk classification rule had a specificity of 98.0% and a positive likelihood ratio of 30.5. The low-risk classification rule had a sensitivity of 98.1% and a negative likelihood ratio of 0.03. For a hypothesized pretest prevalence of 10%, the high- and low-risk prediction rules ascertained endometriosis with posttest probability rates of 77.2% and 0.3%, respectively.

CONCLUSION(S)

A self-completed patient-centered questionnaire can identify women at low or high risk of endometriosis with a high diagnostic accuracy and, thus, may help early identification of women with endometriosis.

Symptomatology and Serum Nuclear Magnetic Resonance Metabolomics; Do They Predict Endometriosis in Fertile Women Undergoing Laparoscopic Sterilisation? A Prospective Cross-sectional Study

Endometriosis is a common, chronic inflammatory condition, thought to have a higher incidence in symptomatic women, yet, commonly associated symptoms do not always correlate with the presence or severity of disease and diagnosis requires surgery. We prospectively collected data and assessed symptomology and NMR spectroscopy-based metabolomics of 102 women undergoing laparoscopic sterilisation at a tertiary referral centre in a cross-sectional study. Twelve women were incidentally diagnosed with endometriosis (11.7%). According to the pre-operative questionnaire, presence and absence of many symptoms usually attributed to endometriosis were declared at similar frequencies in women with or without endometriosis. Women with endometriosis reported apparently more persistent heavy periods (50% vs 18.9%), prolonged periods (25% versus 7.8%) and problems conceiving (27.3% versus 9%) than those without endometriosis. NMR could not discern any distinguishable differences in the serum metabolome between those with and without endometriosis. Our paper highlights the complex symptomology experienced by women, regardless of a surgical diagnosis of endometriosis. Previous literature and the current study failed to identify clear, distinguishable symptoms or biomarkers pertinent to surgically confirmed endometriosis in the general population. Therefore, development of effective, non-invasive tests for identifying this heterogenous benign condition, endometriosis, is likely to be challenging.

Pelvic pain: What are the symptoms and predictors for surgery, endometriosis and endometriosis severity

BACKGROUND

Chronic pelvic pain (CPP) is a common condition which significantly impacts the quality of life and wellbeing of many women. Laparoscopy with histopathology is recommended for investigation of pelvic pain and identification of endometriosis with concurrent removal. Never-the-less, the association between endometriosis and pelvic pain is challenging, with endometriosis identified in only 30-50% of women with pain.

AIMS

To explore the predictors for undergoing surgery, for identifying endometriosis and endometriosis severity in a cohort of women with CPP.

MATERIALS AND METHODS

This study forms part of the Persistent Pelvic Pain project, a prospective observational cohort study (ANZCTR:ACTRN12616000150448). Women referred to a public gynaecology clinic with pain were randomised to one of two gynaecology units for routine care and followed for 36 months with 6-monthly surveys assessing demographics, medical history, quality of life, and pain symptoms measured on a Likert scale. Operative notes were reviewed and endometriosis staged.

RESULTS

Of 471 women recruited, 102 women underwent laparoscopy or laparotomy, of whom 52 had endometriosis (n = 37 stage I-II; n = 15 Stage III-IV). Gynaecology unit, pelvic pain intensity and lower parity were all predictors of surgery (odds ratio (OR) 0.342; 95% CI 0.209-0.561; OR 1.303; 95% CI: 1.079-1.573; OR 0.767; 95% CI: 0.620-0.949, respectively). There were no predictors identified for endometriosis diagnosis and the only predictor of severity was increasing age (OR 1.155; 95% CI: 1.047-1.310).

CONCLUSIONS

Gynaecology unit and pain intensity were key predictors of undergoing laparoscopy; however, pain severity did not predict endometriosis diagnosis or staging. These findings indicate the need to review current frameworks guiding practice toward surgery for pelvic pain.

Recommendations for a Combined Laparoscopic and Transanal Approach in Treating Deep Endometriosis of the Lower Rectum-The Rouen Technique

The complete excision of low rectovaginal deep endometriosis is a demanding surgery associated with an increased risk of intra- and postoperative complications, which can impact the quality of life. Given the choices of optimal surgery procedures available, we would like to emphasize that a minimally invasive approach with plasma medicine and a transanal disc excision could significantly improve surgery for deep endometriosis, avoiding the lateral thermal damage of vascular and parasympathetic fibers of roots S2–S5 in the pelvic plexus. The management of low rectal deep endometriosis is distinct from other gastrointestinal-tract endometriosis nodules. Suggestions and explanations are presented for this minimal approach. These contribute to individualized medical care for deep endometriosis. In brief, a laparoscopic transanal disc excision (LTADE; Rouen technique) was performed through a laparoscopic deep rectal dissection, combined with plasma energy shaving, and followed by a transanal disc excision of the low and mid-rectal deep endometriotic nodules, with the use of a semi-circular stapler. LTADE is indicated as the first-line surgical treatment for low and mid-rectal deep endometriotic nodule excisions, because it can preserve rectal length and innervation. This technique requires a multidisciplinary team with surgical colorectal training.

Eutopic endometrium from women with endometriosis and chlamydial endometritis share immunological cell types and DNA repair imbalance: A transcriptome meta-analytical perspective

The aim of this study was to identify the key similarities between the eutopic endometrium of women with endometriosis and chlamydia-induced endometritis taking into account tissue microenvironment heterogeneity, transcript gene profile, and enriched pathways. A meta-analysis of whole transcriptome microarrays was performed using publicly available data, including samples containing both glandular and stromal endometrial components. Control samples were obtained from women without any reported pathological condition. Only samples obtained during the proliferative menstrual phase were included. Cellular tissue heterogeneity was predicted using a method that integrates gene set enrichment and deconvolution approaches. The batch effect was estimated by principal variant component analysis and removed using an empirical Bayes method. Differentially expressed genes were identified using an adjusted p-value < 0.05 and fold change = 1.5. The protein-protein interaction network was built using the STRING database and interaction score over 400. The Molecular Signatures Database was used to analyse the functional enrichment analysis. Both conditions showed similarities in cell types in the microenvironment, particularly CD4⁺ and CD8⁺ Tem cells, NKT cells, Th2 cells, basophils, and eosinophils. With regards to the regulation of cellular senescence and DNA integrity/damage checkpoint, which are commonly enriched pathways, 21 genes were down-regulated and directly related to DNA repair. Compared to the endometriosis samples, some chlamydial endometritis samples presented a lack of enriched immune pathways. Our results suggest that both conditions show similar distributions of microenvironment cell types, the downregulation of genes involved in DNA repair and cell cycle control, and pathways involved in immune response evasion.

Development and content validation of two new patient-reported outcome measures for endometriosis: the Endometriosis Symptom Diary (ESD) and Endometriosis Impact Scale (EIS)

BACKGROUND

Endometriosis is a common, chronic, impactful condition in women of reproductive age. In the absence of established sensitive and specific biomarkers, disease severity is determined by patient-reported symptoms and impacts. This article details the development of two new patient-reported outcome (PRO) measures designed to assess efficacy endpoints in clinical studies: The Endometriosis Symptom Diary (ESD) and the Endometriosis Impact Scale (EIS).

METHODS

The ESD and EIS were developed according to best practice and scientific standards (including the Food and Drug Administration (FDA) PRO Guidance) and with extensive input from women with surgically-confirmed endometriosis. Research included: a review of published qualitative literature; concept elicitation interviews in the US, Germany and France (n = 45) to explore the experiences of women with endometriosis and to inform ESD and EIS development; and cognitive interviews in the US and Germany (n = 31) to assess relevance and understanding of the ESD and EIS and usability of administration using an electronic handheld device. The FDA and the European Medicines Agency (EMA) as well as PRO and clinical experts were consulted throughout the process.

RESULTS

Pelvic pain was identified as the most frequent, severe and bothersome symptom for women with endometriosis. Pain was reported to be greatest during menstruation (dysmenorrhea) and during or after sexual intercourse (dyspareunia). Pain resulted in significant impairments in physical activities, work/study, social/leisure activities, household activities and sexual functioning. All women highlighted the emotional impact of endometriosis. Descriptions of pain and associated impacts were largely consistent across participants from the US and Europe, with the most notable differences being the words used to describe the location of pain (e.g., 'pelvis' vs. 'abdomen'). Testing during cognitive interviews indicated that the ESD and EIS were well understood and consistently interpreted. Furthermore, all participants found the ePRO devices easy to use and no issues regarding visual presentation, selection of responses or navigation were identified.

CONCLUSIONS

Evidence from extensive qualitative research supports the content validity of the ESD and EIS as patient-reported measures of the disease-defining symptoms of endometriosis and the associated impact on women's lives. Future research will seek to establish the measurement properties of the measures.

Development of a prediction model to aid primary care physicians in early identification of women at high risk of developing endometriosis: cross-sectional study

OBJECTIVES

To identify predictors of disease among a few factors commonly associated with endometriosis and if successful, to combine these to develop a prediction model to aid primary care physicians in early identification of women at high risk of developing endometriosis.

DESIGN

Cross-sectional anonymous postal questionnaire study.

SETTING

Women aged 18-45 years recruited from the Norwegian Endometriosis Association and a random sample of women residing in Oslo, Norway.

PARTICIPANTS

157 women with and 156 women without endometriosis.

MAIN OUTCOME MEASURES

Logistic and least absolute shrinkage and selection operator (LASSO) regression analyses were performed with endometriosis as dependent variable. Predictors were identified and combined to develop a prediction model. The predictive ability of the model was evaluated by calculating the area under the receiver operating characteristic curve (AUC) and positive predictive values (PPVs) and negative predictive values (NPVs). To take into account the likelihood of skewed representativeness of the patient sample towards high symptom burden, we considered the hypothetical prevalences of endometriosis in the general population 0.1%, 0.5%, 1% and 2%.

RESULTS

The predictors absenteeism from school due to dysmenorrhea and family history of endometriosis demonstrated the strongest association with disease. The model based on logistic regression (AUC 0.83) included these two predictors only, while the model based on LASSO regression (AUC 0.85) included two more: severe dysmenorrhea in adolescence and use of painkillers due to dysmenorrhea in adolescence. For the prevalences 0.1%, 0.5%, 1% and 2%, both models ascertained endometriosis with PPV equal to 2.0%, 9.4%, 17.2% and 29.6%, respectively. NPV was at least 98% for all values considered.

CONCLUSIONS

External validation is needed before model implementation. Meanwhile, endometriosis should be considered a differential diagnosis in women with frequent absenteeism from school or work due to painful menstruations and positive family history of endometriosis.

Assessing research gaps and unmet needs in endometriosis

Endometriosis, a systemic disease that is often painful and chronic, affects ∼10% of reproductive-age women. The disease can have a negative impact on a patient's physical and emotional well-being, quality of life, and productivity. Endometriosis also places significant economic and social burden on patients, their families, and society as a whole. Despite its high prevalence and cost, endometriosis remains underfunded and underresearched, greatly limiting our understanding of the disease and slowing much-needed innovation in diagnostic and treatment options. Due in part to the societal normalization of women's pain and stigma around menstrual issues, there is also a lack of disease awareness among patients, health care providers, and the public. The Society for Women's Health Research convened an interdisciplinary group of expert researchers, clinicians, and patients for a roundtable meeting to review the current state of the science on endometriosis and identify areas of need to improve a woman's diagnosis, treatment, and access to quality care. Comprehensive and interdisciplinary approaches to disease management and increased education and disease awareness for patients, health care providers, and the public are needed to remove stigma, increase timely and accurate diagnosis and treatment, and allow for new advancements.