Preconception Care Interventions for Adolescents and Young Adults to Prevent Adverse Maternal and Child Health Outcomes: Protocol for an Evidence Gap Map.

BACKGROUND: Preconception is the period before a young woman or woman conceives, which draws attention to understanding how her health condition and certain risk factors affect her and her baby's health once she becomes pregnant. Adolescence and youth represent a life-course continuum between childhood and adulthood, in which the prepregnancy phase lacks sufficient research. OBJECTIVE: The aim of the study is to identify, map, and describe existing empirical evidence on preconception interventions that enhance health outcomes for adolescents, young adults, and their offspring. METHODS: We will conduct an evidence gap map (EGM) activity following the Campbell guidelines by populating searches identified from electronic databases such as MEDLINE, Embase, CINAHL, and Cochrane Library. We will include interventional studies and reviews of interventional studies that report the impact of preconception interventions for adolescents and young adults (aged 10 to 25 years) on adverse maternal, perinatal, and child health outcomes. All studies will undergo title or abstract and full-text screening on Covidence software (Veritas Health Innovation). All included studies will be coded using the Evidence for Policy and Practice Information (EPPI) Reviewer software (EPPI Centre, UCL Social Research Institute, University College London). Cochrane Risk of Bias tool 2.0 and Assessing the Methodological Quality of Systematic Reviews-2 (AMSTAR-2) tool will be used to assess the quality of the included trials and reviews. A 2D graphical EGM will be developed using the EPPI Mapper software (version 2.2.4; EPPI Centre, UCL Social Research Institute, University College London). RESULTS: This EGM exercise began in July 2023. Through electronic search, 131,031 publications were identified after deduplication, and after the full-text screening, 18 studies (124 papers) were included in the review. We plan to submit the paper to a peer-reviewed journal once it is finalized, with an expected completion date in May 2024. CONCLUSIONS: This study will facilitate the prioritization of future research and allocation of funding while also suggesting interventions that may improve maternal, perinatal, and child health outcomes. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/56052.

Exploring preconception health in adolescents and young adults: Identifying risk factors and interventions to prevent adverse maternal, perinatal, and child health outcomes-A scoping review.

BACKGROUND: Preconception health provides an opportunity to examine a woman's health status and address modifiable risk factors that can impact both a woman's and her child's health once pregnant. In this review, we aimed to investigate the preconception risk factors and interventions of early pregnancy and its impact on adverse maternal, perinatal and child health outcomes. METHODS: We conducted a scoping review following the PRISMA-ScR guidelines to include relevant literature identified from electronic databases. We included reviews that studied preconception risk factors and interventions among adolescents and young adults, and their impact on maternal, perinatal, and child health outcomes. All identified studies were screened for eligibility, followed by data extraction, and descriptive and thematic analysis. FINDINGS: We identified a total of 10 reviews. The findings suggest an increase in odds of maternal anaemia and maternal deaths among young mothers (up to 17 years) and low birth weight (LBW), preterm birth, stillbirths, and neonatal and perinatal mortality among babies born to mothers up to 17 years compared to those aged 19-25 years in high-income countries. It also suggested an increase in the odds of congenital anomalies among children born to mothers aged 20-24 years. Furthermore, cancer treatment during childhood or young adulthood was associated with an increased risk of preterm birth, LBW, and stillbirths. Interventions such as youth-friendly family planning services showed a significant decrease in abortion rates. Micronutrient supplementation contributed to reducing anaemia among adolescent mothers; however, human papillomavirus (HPV) and herpes simplex virus (HSV) vaccination had little to no impact on stillbirths, ectopic pregnancies, and congenital anomalies. However, one review reported an increased risk of miscarriages among young adults associated with these vaccinations. CONCLUSION: The scoping review identified a scarcity of evidence on preconception risk factors and interventions among adolescents and young adults. This underscores the crucial need for additional research on the subject.

Unveiling silenced narratives: a scoping review on sexual function challenges in migrant and refugee women.

INTRODUCTION: Of the approximately 281 million international migrants and 35.3 million refugees around the world, almost half are women. These individuals experience significant stress due to language barriers, financial difficulties, poor living and working conditions, and discrimination. Consequently, concerns related to sexuality may receive lower priority despite their significant impact on overall well-being. OBJECTIVES: This scoping review aims to review the sexual function of migrant and refugee women and identify any knowledge gaps in the field. METHODS: We conducted a scoping review following the PRISMA-ScR guidelines (Preferred Reporting Items for Systematic Reviews and Meta-analyses extension for Scoping Reviews). We searched online databases-Medline, Embase, Emcare, PsycINFO, CINAHL, Scopus, Web of Science, and Cochrane-and gray literature, with no restrictions on year of publication, language, or study design. Utilizing Covidence software, 2 authors screened and extracted data from studies based on predetermined eligibility criteria. A thematic analysis was executed, and findings were reported descriptively. RESULTS: Initially, we identified 5615 studies; after screening titles, abstracts, and full texts, we ultimately included 12 studies. The review identified a limited body of research with various unvalidated tools. Moreover, these studies yielded heterogeneous results: migrant women reported less sexual knowledge, experience, and liberal attitudes, resulting in lower rates of desire and arousal as compared with nonmigrants. Some studies showed lower sexual function in migrants, while others found no significant differences between migrants and nonmigrants. The assimilation into Western cultures may influence migrants' sexual attitudes and behaviors. Factors such as education and gender role ideology can also significantly affect sexual function among migrant populations. CONCLUSION: This review underscores the limitations in previous sexual function research, emphasizing the need for a more inclusive approach. It also offers valuable insights for codesigning programs to address sexual dysfunction among migrant and refugee women, improving their well-being. Future research should prioritize neglected populations and create culturally sensitive interventions to reduce sexual health disparities in migrants.

Artificial intelligence as a teaching tool for gynaecological ultrasound: A systematic search and scoping review.

Purpose: The aim of this study was to investigate the current application of artificial intelligence (AI) tools in the teaching of ultrasound skills as they pertain to gynaecological ultrasound. Methods: A scoping review was performed. Eight databases (MEDLINE, EMBASE, EMCARE, CINAHL, Scopus, Web of Science, IEEE Xplore and ACM digital library) were searched in December 2022 using predefined keywords. All types of publications were eligible for inclusion so long as they reported the use of an AI tool, included reference to or discussion of teaching or the improvement of ultrasound skills and pertained to gynaecological ultrasound. Conference abstracts and non-English language papers which could not be adequately translated into English were excluded. Results: The initial database search returned 481 articles. After screening against our inclusion and exclusion criteria, two were deemed to meet the inclusion criteria. Neither of the articles included reported original research (one systematic review and one review article). Neither of the included articles explicitly provided details of specific tools developed for the teaching of ultrasound skills for gynaecological imaging but highlighted similar applications within the field of obstetrics which could potentially be expanded. Conclusion: Artificial intelligence can potentially assist in the training of sonographers and other ultrasound operators, including in the field of gynaecological ultrasound. This scoping review revealed however that to date, no original research has been published reporting the use or development of such a tool specifically for gynaecological ultrasound.

Noninvasive diagnostic imaging for endometriosis part 1: a systematic review of recent developments in ultrasound, combination imaging, and artificial intelligence.

Endometriosis affects 1 in 9 women and those assigned female at birth. However, it takes 6.4 years to diagnose using the conventional standard of laparoscopy. Noninvasive imaging enables a timelier diagnosis, reducing diagnostic delay as well as the risk and expense of surgery. This review updates the exponentially increasing literature exploring the diagnostic value of endometriosis specialist transvaginal ultrasound (eTVUS), combinations of eTVUS and specialist magnetic resonance imaging, and artificial intelligence. Concentrating on literature that emerged after the publication of the IDEA consensus in 2016, we identified 6192 publications and reviewed 49 studies focused on diagnosing endometriosis using emerging imaging techniques. The diagnostic performance of eTVUS continues to improve but there are still limitations. eTVUS reliably detects ovarian endometriomas, shows high specificity for deep endometriosis and should be considered diagnostic. However, a negative scan cannot preclude endometriosis as eTVUS shows moderate sensitivity scores for deep endometriosis, with the sonographic evaluation of superficial endometriosis still in its infancy. The fast-growing area of artificial intelligence in endometriosis detection is still evolving, but shows great promise, particularly in the area of combined multimodal techniques. We finalize our commentary by exploring the implications of practice change for surgeons, sonographers, radiologists, and fertility specialists. Direct benefits for endometriosis patients include reduced diagnostic delay, better access to targeted therapeutics, higher quality operative procedures, and improved fertility treatment plans.

Noninvasive diagnostic imaging for endometriosis part 2: a systematic review of recent developments in magnetic resonance imaging, nuclear medicine and computed tomography.

Endometriosis affects 1 in 9 women, taking 6.4 years to diagnose using conventional laparoscopy. Non-invasive imaging enables timelier diagnosis, reducing diagnostic delay, risk and expense of surgery. This review updates literature exploring the diagnostic value of specialist endometriosis magnetic resonance imaging (eMRI), nuclear medicine (NM) and computed tomography (CT). Searching after the 2016 IDEA consensus, 6192 publications were identified, with 27 studies focused on imaging for endometriosis. eMRI was the subject of 14 papers, NM and CT, 11, and artificial intelligence (AI) utilizing eMRI, 2. eMRI papers describe diagnostic accuracy for endometriosis, methodologies, and innovations. Advantages of eMRI include its: ability to diagnose endometriosis in those unable to tolerate transvaginal endometriosis ultrasound (eTVUS); a panoramic pelvic view, easy translation to surgical fields; identification of hyperintense iron in endometriotic lesions; and ability to identify super-pelvic lesions. Sequence standardization means eMRI is less operator-dependent than eTVUS, but higher costs limit its role to a secondary diagnostic modality. eMRI for deep and ovarian endometriosis has sensitivities of 91-93.5% and specificities of 86-87.5% making it reliable for surgical mapping and diagnosis. Superficial lesions too small for detection in larger capture sequences, means a negative eMRI doesn't exclude endometriosis. Combined with thin sequence capture and improved reader expertise, eMRI is poised for rapid adoption into clinical practice. NM labeling is diagnostically limited in absence of suitable unique marker for endometrial-like tissue. CT studies expose the reproductively aged to radiation. AI diagnostic tools, combining independent eMRI and eTVUS endometriosis markers, may result in powerful capability. Broader eMRI use, will optimize standards and protocols. Reporting systems correlating to surgical anatomy will facilitate interdisciplinary preoperative dialogues. eMRI endometriosis diagnosis should reduce repeat surgeries with mental and physical health benefits for patients. There is potential for early eMRI diagnoses to prevent chronic pain syndromes and protect fertility outcomes.

The Effectiveness of Self-supervised Pre-training for Multi-modal Endometriosis Classification*†.

Endometriosis is a debilitating condition affecting 5% to 10% of the women worldwide, where early detection and treatment are the best tools to manage the condition. Early detection can be done via surgery, but multi-modal medical imaging is preferable given the simpler and faster process. However, imaging-based endometriosis diagnosis is challenging as 1) there are few capable clinicians; and 2) it is characterised by small lesions unconfined to a specific location. These two issues challenge the development of endometriosis classifiers as the training datasets tend to be small and contain difficult samples, which leads to overfitting. Hence, it is important to consider generalisation techniques to mitigate this problem, particularly self-supervised pre-training methods that have shown outstanding results in computer vision and natural language processing applications. The main goal of this paper is to study the effectiveness of modern self-supervised pre-training techniques to overcome the two issues mentioned above for the classification of endometriosis from multi-modal imaging data. We also introduce a new masking image modelling self-supervised pre-training method that works with 3D multi-modal medical imaging. Furthermore, to the best of our knowledge, this paper presents the first endometriosis classifier, fine-tuned from the pre-trained model above, which works with multi-modal (i.e., T1 and T2) magnetic resonance imaging (MRI) data. Our results show that self-supervised pre-training improves endometriosis classification by as much as 31%, when compared with classifiers trained from scratch.

Lessons from implementing the Australian National Action Plan for Endometriosis.

Abstract: Endometriosis is a common yet under-recognised chronic disease with one in nine (more than 830,000) women and those assigned female at birth diagnosed with endometriosis by the age of 44 years in Australia. In 2018, Australia was the first country to develop a roadmap and blueprint to tackle endometriosis in a nationwide, coordinated manner. This blueprint is outlined in the National Action Plan for Endometriosis (NAPE), created from a partnership between government, endometriosis experts and advocacy groups. The NAPE aims to improve patient outcomes in the areas of awareness and education, clinical management and care and research. As researchers and clinicians are working to improve the lives of those with endometriosis, we discuss our experiences since the launch of the plan to highlight areas of consideration by other countries when developing research priorities and clinical plans. Historically, major barriers for those with endometriosis have been twofold; first, obtaining a diagnosis and secondly, effective symptom management post-diagnosis. In recent years, there have been calls to move away from the historically accepted 'gold-standard' surgical diagnosis and single-provider specialist care. As there are currently no reliable biomarkers for endometriosis diagnosis, specialist endometriosis scans and MRI incorporating artificial intelligence offer a novel method of visualisation and promising affordable non-invasive diagnostic tool incorporating well-established technologies. The recognised challenges of ongoing pain and symptom management, a holistic interdisciplinary care approach and access to a chronic disease management plan, could lead to improved patient outcomes while reducing healthcare costs. Lay summary: Endometriosis is a chronic disease where tissue like the lining of the uterus is found in other locations around the body. For the 830,000 people living with endometriosis in Australia, this often results in an immense burden on all aspects of daily life. In 2018, Australia was the first country to introduce a roadmap and blueprint to tackle endometriosis in a nationwide coordinated manner with the National Action Plan for Endometriosis. This plan was created as a partnership between government, endometriosis experts and advocacy groups. There are several other countries who are now considering similar plans to address the burden of endometriosis. As researchers and clinicians are working to improve the lives of those with endometriosis, we share our experiences and discuss areas that should be considered when developing these national plans, including diagnostic pathways without the need for surgery, and building new centres of expertise in Endometriosis and Pelvic Pain.

Modified Delphi study to identify priority clinical questions for the Australian living guidelines for the management of Juvenile Idiopathic Arthritis.

BACKGROUND: Juvenile Idiopathic Arthritis (JIA) is the most common rheumatic inflammatory disease in childhood. Optimal management requires clinicians to be up to date with the rapidly evolving evidence base. 'Living' evidence-based clinical practice guidelines, which integrate new evidence as soon as it is available, are a novel method to enhance the translation of research into practice. To determine the most relevant questions that should be prioritised in national Australian JIA living guidelines, we invited Australian and New Zealand paediatric rheumatologists and other relevant health professionals to identify and rank their most important questions in order of priority. METHODS: All 47 members of the Australian Paediatric Rheumatology Group (APRG) were invited to participate in a modified Delphi study comprising two rounds. The first round identified demographic information of respondents, current attitudes to guideline use and invited submission of priority management questions. The second round asked respondents to rank 27 collated and refined questions identified in round one in order of priority. RESULTS: There were 29 (62%) and 28 (60%) responses to the first and second survey rounds respectively. About two thirds were rheumatologists or trainees (66, 68%), nearly half had more than 10 years of experience (45, 46%) and practice setting was largely hospital (79, 86%) and urban (86, 75%). Most respondents used clinical guidelines in their practice (72% sometimes, 24% often), most frequently American College of Rheumatology (ACR) (66%) and European Alliance of Associations for Rheumatology (EULAR) (59%) guidelines. Reported barriers to guideline use included that they are not up to date and access difficulties. Most respondents (83%) considered Australian guidelines were necessary and two-thirds indicated they would use them if integrated into practice software. The highest ranked topics were down-titration and discontinuation of disease modifying anti-rheumatic drugs (ranked first), best outcome measures (second) and treatment targets in JIA (third). CONCLUSIONS: There is strong clinician support for the development of Australian living guidelines for JIA. Consensus was reached on the ten top-ranked priority questions. Our guidelines will develop evidence-based recommendations for these high priority questions that will be updated in real time as needed to facilitate rapid translation of evidence into clinical practice.

Australian recommendations on tapering of biologic and targeted synthetic disease-modifying anti-rheumatic drugs in inflammatory arthritis.

Biological and targeted synthetic disease-modifying antirheumatic drugs (b/tsDMARD) have been an important advance in the management of inflammatory arthritis, but are expensive medications, carry a risk of infection and other adverse effects, and are often perceived as a burden by patients. We used GRADE methodology to develop recommendations for dose reduction and discontinuation of b/tsDMARD in people with rheumatoid arthritis (RA), axial spondyloarthritis (AxSpA) and psoriatic arthritis (PsA) who have achieved a low disease activity state or remission. The recommendations form part of the Australian Living Guideline for the Pharmacological Management of Inflammatory Arthritis, an NHMRC-endorsed 'living' guideline, in which recommendations are updated in near real-time as new evidence emerges. Conditional recommendations were made in favour of dose reduction in RA and AxSpA but not in PsA. Abrupt discontinuation of b/tsDMARD is not recommended in any of the three diseases.

Prevalence, incidence and years lived with disability due to polycystic ovary syndrome in 204 countries and territories, 1990-2019.

STUDY QUESTION: What is the global, regional and national burden of polycystic ovary syndrome (PCOS), by age and socio-demographic index (SDI), over the period 1990-2019? SUMMARY ANSWER: In 2019, the global age-standardized point prevalence, incidence and years lived with disability (YLD) of PCOS were 30.4, 29.5 and 29.9 per 100 000 population, respectively. WHAT IS KNOWN ALREADY: Data from the Global Burden of Disease (GBD) study 2017 showed that the global age-standardized PCOS incidence rate increased 1.45% over the period 1990-2017. STUDY DESIGN, SIZE, DURATION: A systematic analysis of the PCOS prevalence, incidence and YLDs across 204 countries and territories was performed. PARTICIPANTS/MATERIALS, SETTING, METHODS: Data on the point prevalence, annual incidence and YLDs due to PCOS were retrieved from the GBD study 2019 for 204 countries and territories from 1990 to 2019. The counts and age-standardized rates (per 100 000) are presented, along with their corresponding 95% uncertainty intervals (UIs). MAIN RESULTS AND THE ROLE OF CHANCE: In 2019, the global age-standardized point prevalence and annual incidence rates for PCOS were 1677.8 (95% UI: 1166.0 to 2192.4) and 59.8 (95% UI: 41.7 to 78.9) per 100 000, which represents a 30.4% and 29.5% increase since 1990, respectively. Moreover, the global age-standardized YLD rate in 2019 was 14.7 (6.3-29.5), an increase of 29.9% since 1990. In 2019, Italy (7897.0), Japan (6298.7) and New Zealand (5419.1) had the highest estimated age-standardized point prevalences of PCOS. Globally, the number of prevalent cases and the point prevalence of PCOS peaked in the 25-29 years and 40-44 years age groups, respectively. Positive associations were found between the burden of PCOS and the SDI at the regional and national levels. LIMITATIONS, REASONS FOR CAUTION: Variations in how PCOS was defined is a major limitation that prevents valid comparisons between different regions. WIDER IMPLICATIONS OF THE FINDINGS: Globally, the burden of PCOS has increased at an alarming rate, making it a major public health concern. Increasing public awareness about this common condition, improving management options and increasing support to reduce factors which lead to further complications, need to be public health priorities. STUDY FUNDING/COMPETING INTEREST(S): The Bill and Melinda Gates Foundation, who were not involved in any way in the preparation of this manuscript, funded the GBD study. The Shahid Beheshti University of Medical Sciences, Tehran, Iran (Grant No. 28709) also supported the present report. The authors declare no competing interests. TRIAL REGISTRATION NUMBER: N/A.

Burden of polycystic ovary syndrome in the Middle East and North Africa region, 1990-2019.

Polycystic ovary syndrome (PCOS) is one of the most important contributing factors to infertility. In this study, we report the burden of PCOS by age and sociodemographic index (SDI) for the 21 countries in the Middle East and North Africa (MENA) region. Publicly available data on the point prevalence, incidence and years lived with disability (YLDs), from 1990 to 2019, were retrieved from the Global Burden of Disease (GBD) 2019 study for the 21 countries in MENA. The results are presented with age-standardised numbers and rates per 100,000 population, along with their corresponding 95% uncertainty intervals (UIs). In 2019, the age-standardised point prevalence and incidence rate for PCOS in the MENA region were 2079.7 (95% UI: 1392.0 to 2812.3) and 77.2 (95% UI: 51.6 to 105.4) per 100,000, respectively, which represents a 37.9% (95% UI: 31.7 to 45.0) and a 33.7% (95% UI: 27.7 to 40.3) increase since 1990, respectively. Also in 2019, the age-standardised YLD rate of PCOS in this region was 18.7 (95% UI: 7.8 to 37.9) per 100,000 women, which has increased by 36.1% (95% UI: 29.4 to 43.4) since 1990. Kuwait [25.4 (10.7, 51.2)] had the highest age-standardised YLD rate, while Afghanistan [10.8 (10.1, 49.2)] had the lowest. Moreover, the largest increase in the YLD rate, from 1990 to 2019, was seen in Sudan [90.3% (64.1, 120.9)], whereas no country decreased during the measurement period. The total prevalent number and point prevalence of PCOS (per 100,000) were both highest in the 20-24 age group. The prevalence of PCOS was highest among women of reproductive age, but decreased rapidly after 45 years of age. Moreover, at the country level there was a positive association between SDI and the age-standardised YLD rates of PCOS. The growing prevalence and burden of PCOS in the MENA region highlights the need to implement cost-effective preventive programs, especially for women in their third decade of life, and in MENA countries with higher SDI levels.

Associations between environmental exposures in the Middle East Area of Operations and pregnancy outcomes in Australian Defence Force veterans.

Military personnel deployed on operations may encounter a variety of hazards with the capacity to adversely affect reproductive health. This paper investigates the association between self-reported exposure to reproductive toxicants and adverse pregnancy outcomes in Australian Defence Force veterans who deployed to Iraq and Afghanistan during the period 2001-2009. Utilising the Middle East Area of Operations (MEAO) Census Study data set, descriptive analyses of participants' self-reported exposure were compared with the occupational environmental monitoring data taken at their reported deployment location. Univariate analyses assessed the significance of unadjusted associations between self-reported exposures and reproductive outcomes. There is no systematic or consistent relationship between deployment to the MEAO and adverse pregnancy outcomes. Overall, self-reported adverse reproductive outcomes were significantly increased in veterans who deployed to both Afghanistan and Iraq (p = 0.04) compared to those who only deployed to only one of those locations; particularly in women (p = 0.009). Miscarriage was the most likely of these (p = 0.008). These figures would benefit from being confirmed against medical records but are worthy of further study. In this historical cohort study, causal inference cannot be made due to absence of control groups to exclude sources of potential bias. Imprecision in the assessment of environmental hazards in the MEAO and other methodological constraints make it impossible to calculate precise estimates of risk. The results warrant continued investigation, especially when combined with previous findings related to pregnancy outcomes in this population, the importance of reproductive outcomes, and the potential emergence of new hazards.

The Prevalence of Clinical Characteristics of Polycystic Ovary Syndrome among Indigenous Women: A Systematic Search and Review of the Literature.

Polycystic ovary syndrome (PCOS) is the most common endocrine disorder among reproductive-aged women; however, to date there has been no synthesis of the burden of PCOS specifically among indigenous women. We aimed to systematically identify and collate studies reporting prevalence and clinical features of PCOS among indigenous women worldwide. We performed a comprehensive search of six databases (Ovid MEDLINE, MEDLINE In Process & Other Non-Indexed Citations, EMBASE, EBM reviews, CINAHL, and SCOPUS) supplemented by gray literature searches and the screening of reference lists. A narrative synthesis was conducted. Fourteen studies met inclusion criteria; however, one was excluded as it assessed only children and adolescents younger than 15 years, with limited clinical relevance. Studies examined indigenous women from Australia, Sri Lanka, New Zealand, and the United States. Prevalence of PCOS was reported in only four studies and ranged from 3.05% for women in Sri Lanka to 26% for women in Australia. All included studies reported on at least one clinical feature of PCOS. Of the studies that reported on a comparison group from the same country, there was evidence of more severe features in indigenous women from New Zealand and the United States. The limited evidence available warrants further investigation of the burden of PCOS in indigenous women to build the knowledge base for effective and culturally relevant management of this condition.

Diagnosis delayed: health profile differences between women with undiagnosed polycystic ovary syndrome and those with a clinical diagnosis by age 35 years.

STUDY QUESTION: Are reproductive, metabolic or psychological health profiles of women with clinically diagnosed polycystic ovary syndrome (PCOS) different from those with undiagnosed PCOS? SUMMARY ANSWER: Obtaining a clinical diagnosis of PCOS is strongly linked to the experience of fertility problems, but not clinical depression or poor metabolic health, although these were highly prevalent in women with PCOS irrespective of when they were diagnosed. WHAT IS KNOWN ALREADY: PCOS is an endocrine disorder that is relative common, but heterogeneous in presentation. This may impact on the pathways to diagnosis and timely treatment. STUDY DESIGN, SIZE, DURATION: A cross-sectional analysis of a community-based cohort of 974 women, established retrospectively when women were around 30 years of age. PARTICIPANTS/MATERIALS, SETTING, METHODS: In this cohort of women born in Adelaide, South Australia, half of women who met the Rotterdam criteria for PCOS were previously undiagnosed. We compared women with prior clinical diagnosis of PCOS, those diagnosed through participation in this research, and the remainder in the cohort. Sociodemographic characteristics, reproductive, metabolic and psychological health, including medical conditions and medications were considered. Logistic regression was undertaken to identify independent predictors of prior clinical diagnosis. MAIN RESULTS AND THE ROLE OF CHANCE: There were 56 women with a prior clinical diagnosis of PCOS (5.7%) and a further 64 (6.6%) were undiagnosed until study entry. The great majority of women with a prior diagnosis of PCOS reported having had problems with periods (95%) and excess body hair (63%). Corresponding proportions for women undiagnosed until study participation were slightly lower (81% and 45%, respectively). Although the proportion of women attempting or achieving pregnancy was similar across all groups, those with a prior diagnosis of PCOS were four times more likely to have reported difficulties becoming pregnant than those undiagnosed (odds ratio = 4.05, 95% CI 1.74-9.45) and frequently sought medical assistance. Metabolic problems were higher in both PCOS groups compared to women without PCOS. In both PCOS groups, the prevalence of clinical depression was 50% higher than in those with no PCOS (P = 0.021). LIMITATIONS, REASONS FOR CAUTION: The number of women who were diagnosed with PCOS both prior to and during the study limited statistical power available to detect modest differences between the PCOS groups. Some women in the group classified as not having PCOS may have remained undiagnosed, but any bias from this source would contribute to more conservative findings. WIDER IMPLICATIONS OF THE FINDINGS: Findings reinforce the need for early detection of PCOS symptoms from adolescence, ensuring timely diagnosis and appropriate health care. The high prevalence of depression among clinically diagnosed and undiagnosed women with PCOS suggests this is a feature of the condition and supports recent recommendations in the international PCOS guidelines to screen all women with PCOS for depression and anxiety. STUDY FUNDING/COMPETING INTEREST(S): This work was supported by a project grant (2017) from the National Health and Medical Research Council of Australia (NHMRC) Centre for Research Excellence in Polycystic Ovary Syndrome (Grant ID APP1078444). R.C.F. and J.C.A. were supported by Robinson Research Institute Lloyd Cox Career Development Fellowships (2018). Establishment of the cohort was funded by an NHMRC Strategic Award No. 465455, a Career Development Award in Population Health (No. 349548) and the Australian Research Council (Future Fellowship FT100101018) awarded to M.J.D. All authors declared no conflict of interest. TRIAL REGISTRATION NUMBER: N/A.

Deep learning to diagnose pouch of Douglas obliteration with ultrasound sliding sign.

OBJECTIVES: Pouch of Douglas (POD) obliteration is a severe consequence of inflammation in the pelvis, often seen in patients with endometriosis. The sliding sign is a dynamic transvaginal ultrasound (TVS) test that can diagnose POD obliteration. We aimed to develop a deep learning (DL) model to automatically classify the state of the POD using recorded videos depicting the sliding sign test. METHODS: Two expert sonologists performed, interpreted, and recorded videos of consecutive patients from September 2018 to April 2020. The sliding sign was classified as positive (i.e. normal) or negative (i.e. abnormal; POD obliteration). A DL model based on a temporal residual network was prospectively trained with a dataset of TVS videos. The model was tested on an independent test set and its diagnostic accuracy including area under the receiver operating characteristic curve (AUC), accuracy, sensitivity, specificity, and positive and negative predictive value (PPV/NPV) was compared to the reference standard sonologist classification (positive or negative sliding sign). RESULTS: In a dataset consisting of 749 videos, a positive sliding sign was depicted in 646 (86.2%) videos, whereas 103 (13.8%) videos depicted a negative sliding sign. The dataset was split into training (414 videos), validation (139), and testing (196) maintaining similar positive/negative proportions. When applied to the test dataset using a threshold of 0.9, the model achieved: AUC 96.5% (95% CI: 90.8-100.0%), an accuracy of 88.8% (95% CI: 83.5-92.8%), sensitivity of 88.6% (95% CI: 83.0-92.9%), specificity of 90.0% (95% CI: 68.3-98.8%), a PPV of 98.7% (95% CI: 95.4-99.7%), and an NPV of 47.7% (95% CI: 36.8-58.2%). CONCLUSIONS: We have developed an accurate DL model for the prediction of the TVS-based sliding sign classification. LAY SUMMARY: Endometriosis is a disease that affects females. It can cause very severe scarring inside the body, especially in the pelvis - called the pouch of Douglas (POD). An ultrasound test called the 'sliding sign' can diagnose POD scarring. In our study, we provided input to a computer on how to interpret the sliding sign and determine whether there was POD scarring or not. This is a type of artificial intelligence called deep learning (DL). For this purpose, two expert ultrasound specialists recorded 749 videos of the sliding sign. Most of them (646) were normal and 103 showed POD scarring. In order for the computer to interpret, both normal and abnormal videos were required. After providing the necessary inputs to the computer, the DL model was very accurate (almost nine out of every ten videos was correctly determined by the DL model). In conclusion, we have developed an artificial intelligence that can interpret ultrasound videos of the sliding sign that show POD scarring that is almost as accurate as the ultrasound specialists. We believe this could help increase the knowledge on POD scarring in people with endometriosis.

A comparison of sociodemographic and psychological characteristics among intended parents, surrogates, and partners involved in Australian altruistic surrogacy arrangements.

OBJECTIVE: To characterize the sociodemographic and psychological profiles of participant groups involved in altruistic surrogacy in Australia. DESIGN: Cross-sectional study. SETTING: Single psychological practice in Sydney, Australia. PATIENT(S): Six hundred and two individuals involved in 160 altruistic surrogacy arrangements: 143 intended mothers, 175 intended fathers (including 17 same-sex intended father couples), 160 surrogates, and 124 surrogate partners. INTERVENTION(S): None. MAIN OUTCOME MEASURE(S): Responses to a presurrogacy sociodemographic assessment counseling protocol and the Personality Assessment Inventory (PAI). RESULT(S): The surrogates were primarily sisters, sisters-in-law, mothers (48.6%), or other extended family or friends (46.3%) of the intended parents. Most participants resided in residential postcode areas within the highest socioeconomic status quintile; however, intended mothers were more likely than surrogates to live in the most advantaged residential areas, to be younger and be more educated, and to be employed in professional occupations. Most participant psychological profiles were normal. A statistically significantly elevated PAI Somatic Complaints-Health Concerns subscale for intended mothers was observed compared with other participant groups. The higher PAI Warmth scale scores of intended mothers and surrogates were statistically significantly different from their respective partners, although not different from each other. CONCLUSION(S): Sociodemographic and some psychological differences between participant groups were observed that warrant exploration in pretreatment surrogacy counseling. Importantly, the higher scores on the PAI Warmth scale exhibited by intended mothers and surrogates in the context of close family and friendship relationships are likely to serve as protective mechanisms for the altruistic surrogacy outcome.

Sugar-sweetened beverage (SSB) consumption, correlates and interventions among Australian Aboriginal and Torres Strait Islander communities: a scoping review.

OBJECTIVES: Sugar-sweetened beverage (SSB) consumption in Australian Aboriginal and Torres Strait Islander people is reported to be disproportionally high compared with the general Australian population. This review aimed to scope the literature documenting SSB consumption and interventions to reduce SSB consumption among Australian Aboriginal and Torres Strait Islander people. Findings will inform strategies to address SSB consumption in Aboriginal and Torres Strait Islander communities. METHODS: PubMed, SCOPUS, CINAHL, Informit, Joanna Briggs Institute EBP, Mura databases and grey literature were searched for articles published between January 1980 and June 2018. Studies were included if providing data specific to an Australian Aboriginal and/or Torres Strait Islander population's SSB consumption or an intervention that focused on reducing SSB consumption in this population. DESIGN: Systematic scoping review. RESULTS: 59 articles were included (1846 screened). While reported SSB consumption was high, there were age-related and community-related differences observed in some studies. Most studies were conducted in remote or rural settings. Implementation of nutrition interventions that included an SSB component has built progressively in remote communities since the 1980s with a growing focus on community-driven, culturally sensitive approaches. More recent studies have focused exclusively on SSB consumption. Key SSB-related intervention elements included incentivising healthier options; reducing availability of less-healthy options; nutrition education; multifaceted or policy implementation (store nutrition or government policy). CONCLUSIONS: There was a relatively large number of studies reporting data on SSB consumption and/or sales, predominantly from remote and rural settings. During analysis it was subjectively clear that the more impactful studies were those which were community driven or involved extensive community consultation and collaboration. Extracting additional SSB-specific consumption data from an existing nationally representative survey of Aboriginal and Torres Strait Islander people could provide detailed information for demographic subgroups and benchmarks for future interventions. It is recommended that a consistent, culturally appropriate, set of consumption measures be developed.

Complex diseases and co-morbidities: polycystic ovary syndrome and type 2 diabetes mellitus.

OBJECTIVE: Many complex diseases exhibit co-morbidities often requiring management by more than one health specialist. We examined cross-speciality issues that ultimately affect the health and wellbeing of patients with polycystic ovary syndrome (PCOS). PCOS was originally described as a reproductive condition but is now recognised to also be a metabolic and psychological condition affecting 8-13% of women of reproductive age. With a four-fold increased risk of type 2 diabetes (DM2), the Population Attributable Risk of DM2 that could be avoided if PCOS were eliminated is a substantial 19-28% of women of reproductive age. To determine the extent to which PCOS is an important consideration in diabetes development, we examined publications, funding, guidelines and predictors of risk of developing DM2. RESULTS: We found that the topic of PCOS appeared in specialist diabetes journals at only 10% the rate seen in endocrinology journals - about 1 in 500 articles. We found research funding to be substantially less than for diabetes and found that diabetes guidelines and predictive tools for DM2 risk mostly ignore PCOS. This is surprising since insulin resistance in women with PCOS has a different aetiology and additionally women with PCOS are at increased risk of becoming overweight or obese - high risk factors for DM2. CONCLUSIONS: We consider the causes of these concerning anomalies and discuss current activities to address the co-morbidities of PCOS, including the recent development of international guidelines, an international PCOS awareness program and potentially changing the name of PCOS to better reflect its metabolic consequences.