Leveraging In Situ Simulation for Implementation of Teleobstetric Consultation Services in Rural and Community Hospitals.

Background: Our institution implemented acute-care obstetric (OB) telemedicine (TeleOB) to address rural disparities across our health system. We sought to determine whether in situ simulations with embedded TeleOB consultation increase participants' comfort managing OB emergencies and comfort with and likelihood of using TeleOB. Methods: Rural site care teams participated in multidisciplinary in situ OB emergency simulations. Physicians in OB and neonatology at the referral center assisted via telemedicine consultation. Participants were surveyed before and after the simulations and six months later regarding their experience during the simulations. Results: Participants reported increased comfort with TeleOB activation, indications, and workflow processes, as well as increased comfort managing OB emergencies. Participants also reported significantly increased likelihood of using TeleOB in the future. Conclusions: Consistent with previous work, in situ simulation with embedded telemedicine consultations is an effective approach to facilitate telemedicine implementation and promote use by rural clinicians.

Dramatic Radiographic Response of Pelvis-Filling Locally Advanced Cervical Cancer Treated With Radiation and Chemotherapy.

Locally advanced cervical cancers are often treated with palliative intent due to concerns that the tumor is too far advanced or too large to be treated curatively. Also, patients greater than 65 years of age with cervical cancer are sometimes regarded as being too old or too frail to be cured with combined radiation and chemotherapy. These patients are often treated with radiation alone or with palliative therapy. Understanding the treatment modalities for cervical cancer is essential, as they can be complex and unique to each patient's specific diagnosis. This case report aims to describe the dramatic response to treatment with combined radiation and chemotherapy for a patient greater than 65 years of age with pelvis-filling cervical cancer with right-sided hydronephrosis. After a five-week course of concurrent chemoradiation, the cervical mass radiographically completely disappeared, with no evidence of disease noted on pelvic MRI.

Determining the effects of nomophobia on nurses and midwives in a maternity and child health hospital: A cross-sectional study.

AIM: This study aims to assess the levels of nomophobia among nurses and midwives employed at a gynecology and children's hospital and to explore its impact on their lives. METHODS: This descriptive cross-sectional study was conducted in a gynecology and pediatrics hospital situated in the western region of Turkey. The research sample comprised 112 nurses and midwives. Data collection was facilitated through an "Introductory Information Form" and the "Nomophobia Scale," with adherence to the STROBE checklist for reporting this cross-sectional study. RESULTS: The mean age of the participants was 34.50 ± 9.98 years. The average total score on the nomophobia scale was 68.45 ± 24.62, with 54.5% of participants classified as having moderate levels of nomophobia. Factors such as age, years of experience in nursing or midwifery, work patterns, and the habit of checking their phones immediately upon waking and before sleeping were found to influence their levels of nomophobia. CONCLUSION: The study observed that mobile phone usage among nurses and midwives in a gynecology and pediatrics setting negatively affects their mental and physical health, with a moderate level of nomophobia being prevalent. Notably, older age and increased work experience were associated with lower nomophobia scores. IMPLICATIONS FOR NURSING PRACTICE: Initiatives aimed at preventing the onset of nomophobia are recommended, especially targeting younger nurses and midwives who play a crucial role in health service delivery.

Harnessing Artificial Intelligence to Predict Ovarian Stimulation Outcomes in In Vitro Fertilization: Scoping Review.

BACKGROUND: In the realm of in vitro fertilization (IVF), artificial intelligence (AI) models serve as invaluable tools for clinicians, offering predictive insights into ovarian stimulation outcomes. Predicting and understanding a patient's response to ovarian stimulation can help in personalizing doses of drugs, preventing adverse outcomes (eg, hyperstimulation), and improving the likelihood of successful fertilization and pregnancy. Given the pivotal role of accurate predictions in IVF procedures, it becomes important to investigate the landscape of AI models that are being used to predict the outcomes of ovarian stimulation. OBJECTIVE: The objective of this review is to comprehensively examine the literature to explore the characteristics of AI models used for predicting ovarian stimulation outcomes in the context of IVF. METHODS: A total of 6 electronic databases were searched for peer-reviewed literature published before August 2023, using the concepts of IVF and AI, along with their related terms. Records were independently screened by 2 reviewers against the eligibility criteria. The extracted data were then consolidated and presented through narrative synthesis. RESULTS: Upon reviewing 1348 articles, 30 met the predetermined inclusion criteria. The literature primarily focused on the number of oocytes retrieved as the main predicted outcome. Microscopy images stood out as the primary ground truth reference. The reviewed studies also highlighted that the most frequently adopted stimulation protocol was the gonadotropin-releasing hormone (GnRH) antagonist. In terms of using trigger medication, human chorionic gonadotropin (hCG) was the most commonly selected option. Among the machine learning techniques, the favored choice was the support vector machine. As for the validation of AI algorithms, the hold-out cross-validation method was the most prevalent. The area under the curve was highlighted as the primary evaluation metric. The literature exhibited a wide variation in the number of features used for AI algorithm development, ranging from 2 to 28,054 features. Data were mostly sourced from patient demographics, followed by laboratory data, specifically hormonal levels. Notably, the vast majority of studies were restricted to a single infertility clinic and exclusively relied on nonpublic data sets. CONCLUSIONS: These insights highlight an urgent need to diversify data sources and explore varied AI techniques for improved prediction accuracy and generalizability of AI models for the prediction of ovarian stimulation outcomes. Future research should prioritize multiclinic collaborations and consider leveraging public data sets, aiming for more precise AI-driven predictions that ultimately boost patient care and IVF success rates.

Tumoral programmed cell death 1 (PD1) expression in endometrial carcinoma is a prognostic marker for patient outcome.

OBJECTIVE: Immune checkpoint inhibitors have recently demonstrated benefit in patients with advanced and recurrent endometrial carcinoma. This retrospective study investigated immune checkpoint molecules in endometrial carcinoma as they pertain to the molecular subtypes, clinical outcomes, and predictive value. METHODS: Tumoral RNA expression of genes controlling the immune checkpoint, programmed cell death 1 (PD1, encoded by PDCD1), its ligand (PDL1, encoded by CD274), and interferon gamma (IFNG) was determined in 239 endometrial carcinoma tissues by quantitative polymerase chain reaction (qPCR) and compared with endometrial tissue from 25 controls. A total of 81 endometrial carcinoma tissues were analyzed using the ProMiSe molecular classification, and patient trajectories were analyzed for the entire cohort. Findings were validated in an independent cohort from The Cancer Genome Atlas (TCGA; n=548). RESULTS: PD1, PDL1, and IFNG expression was significantly higher in endometrial carcinoma when compared with non-malignant control tissue with a mean expression of 0.12, 0.05, and 0.05 in control tissue and 0.44, 0.31, and 0.35 in endometrial carcinoma, respectively. POLE-mutated and mismatch repair-deficient (MMRd) (immunologically hot) tumors showed the highest expression of PD1 and IFNG. Increased expression of PD1, PDL1, and IFNG was associated with improved recurrence-free (HR 0.32, p<0.001; HR 0.30, p<0.001; HR 0.47, p=0.012, respectively), disease-specific (HR 0.38, p<0.001; HR 0.29, p<0.001; HR 0.45, p=0.017, respectively), and overall survival (HR 0.56, p=0.003; HR 0.38, p<0.001; HR 0.58, p=0.006, respectively). Cox regression confirmed the prognostic significance of PD1 for recurrence-free survival (HR 0.39, p=0.009) and PDL1 for overall survival (HR 0.55, p=0.037). The prognostic value of tumoral PD1 on recurrence-free survival, disease-specific survival, and overall survival was confirmed in the TCGA cohort. CONCLUSIONS: Tumoral gene expression controlling the PD1 immune checkpoint, particularly expressed in "hot tumors", predicted recurrence-free, disease-specific, and overall survival in patients with endometrial carcinoma in two independent cohorts. Evaluation of these genes could be used to stratify patients who qualify for immune checkpoint inhibitors, which warrants prospective clinical trials.

A Complicated Case of Thrombotic Thrombocytopenic Purpura in Pregnancy with Superimposed Preeclampsia.

A 32-year-old woman at 26 weeks gestation presented with severe unexplained thrombocytopenia with signs and symptoms of severe pregnancy-induced hypertension and what appeared to be hemolysis, elevated liver enzymes, and low platelet count syndrome, leading to a severe diagnostic challenge. The multidisciplinary team identified her condition as thrombotic thrombocytopenic purpura. Timely management decisions and multidisciplinary care ensured a safe delivery.

Current research update on group B streptococcal infection related to obstetrics and gynecology.

Group B streptococcal (GBS) is a Gram-positive bacterium that is commonly found in the gastrointestinal tract and urogenital tract. GBS infestation during pregnancy is a significant contributor to maternal and neonatal morbidity and mortality globally. This article aims to discuss the infectious diseases caused by GBS in the field of obstetrics and gynecology, as well as the challenges associated with the detection, treatment, and prevention of GBS.

Molecular classification of endometrial carcinoma on endometrial biopsy: an early prognostic value to guide personalized treatment.

OBJECTIVE: Molecular features are essential for estimating the risk of recurrence and impacting overall survival in patients with endometrial cancer. Additionally, the surgical procedure itself could be personalized based on the molecular characteristics of the tumor. This study aims to assess the feasibility of obtaining reliable molecular classification status from biopsy specimens collected during hysteroscopy to better modulate the appropriate surgical treatment. METHODS: This monocentric, retrospective, observational study was conducted on 106 patients who underwent a biopsy procedure followed by radical surgery for endometrial cancer, with concurrent molecular investigation. The molecular classification was determined through immunohistochemical staining for p53 and mismatch repair proteins, along with gene sequencing for POLE. RESULTS: Overall, 106 patients underwent molecular investigation, which was finally achieved on 99 patients (93.4%). Among these, the molecular analysis was conducted in 71 patients (67%) on the pre-operative endometrial biopsy and on the final uterine specimen in 28 patients (26.4%). Most of the endometrial biopsies were performed using Bettocchi hysteroscopy (66%). Molecular analysis was not possible in seven patients (6.6%), with six cases due to sample inadequacy and one case attributed to intra-mucosal carcinoma. The molecular results showed that the copy number low sub-group was the most common, and five cases of 'multiple classifiers' were observed in the low-risk category. CONCLUSION: Our experience in obtaining molecular information from biopsy samples underscores the feasibility and efficacy of this technique, even in small tissue samples. This capability helps define the prognostic group of patients, facilitates timely decision-making, and develops a personalized strategy for each patient.

Use of social media for academic and professional purposes by gynecologic oncologists.

OBJECTIVE: To investigate the prevalence and patterns of social media use among gynecologic oncologists for professional and academic purposes. METHODS: A prospective online survey between November and December 2022 targeted gynecologic oncology practitioners (gynecologic oncologists, surgical oncologists, medical oncologists, radiation/clinical oncologists, and onco-pathologists/pathologists). The survey, distributed via various social media platforms, included 40 questions to capture qualitative and quantitative data on social media use. RESULTS: Of 131 respondents from 32 countries, 106 (80.9%) were gynecologic oncologists and affiliated with academic institutions (84.7%). Facebook (n=110, 83.9%), Twitter (n= 108, 82.4%), and Instagram (n=100, 76.3%) were the most used platforms. Respondents used social media to stay updated (n=101, 77.1%), network (n=97, 74%), learn about conferences and webinars (n=97, 74%), and engage in academic discussions (n=84, 64.1%). Following the COVID-19 pandemic, 100/129 (77.5%) reported increased social media use. However, only 32 (24.4%) used it to connect with patients, and concerns were raised about privacy and the need for separate professional and personal accounts. A quarter of respondents hesitated to share their opinions on social media due to the fear of controversy, with 26 (20%) experiencing cyberbullying, yet 120/130 (92.3%) believed it enabled junior professionals to express their views. Concerns about differentiating valid content, information reliability, and the professional perception of sourcing knowledge from social media were noted. Gender, age, specialty, and income level influenced patterns of social media use, with variations in preferences for platforms, content engagement, and purposes, highlighting a complex landscape of social media interaction among gynecologic oncologists. CONCLUSION: While the use of social media among gynecologic oncologists is prevalent, particularly for academic and professional development, challenges such as cyberbullying, privacy concerns, and the need for formal training in social media navigation persist. Tailored training programs and guidelines could enhance social media's effective and ethical use in this field, promoting a safe environment for professional expression and engagement.

Role of artificial intelligence applied to ultrasound in gynecology oncology: A systematic review.

The aim of this paper was to explore the role of artificial intelligence (AI) applied to ultrasound imaging in gynecology oncology. Web of Science, PubMed, and Scopus databases were searched. All studies were imported to RAYYAN QCRI software. The overall quality of the included studies was assessed using QUADAS-AI tool. Fifty studies were included, of these 37/50 (74.0%) on ovarian masses or ovarian cancer, 5/50 (10.0%) on endometrial cancer, 5/50 (10.0%) on cervical cancer, and 3/50 (6.0%) on other malignancies. Most studies were at high risk of bias for subject selection (i.e., sample size, source, or scanner model were not specified; data were not derived from open-source datasets; imaging preprocessing was not performed) and index test (AI models was not externally validated) and at low risk of bias for reference standard (i.e., the reference standard correctly classified the target condition) and workflow (i.e., the time between index test and reference standard was reasonable). Most studies presented machine learning models (33/50, 66.0%) for the diagnosis and histopathological correlation of ovarian masses, while others focused on automatic segmentation, reproducibility of radiomics features, improvement of image quality, prediction of therapy resistance, progression-free survival, and genetic mutation. The current evidence supports the role of AI as a complementary clinical and research tool in diagnosis, patient stratification, and prediction of histopathological correlation in gynecological malignancies. For example, the high performance of AI models to discriminate between benign and malignant ovarian masses or to predict their specific histology can improve the diagnostic accuracy of imaging methods.

Successful endoscopic endonasal trans-sphenoidal resection for pituitary macro adenoma with apoplexy in a twin pregnancy: A case report.

Key Clinical Message: Pituitary apoplexy is a medical and surgical emergency requiring prompt diagnosis and often urgent treatment to manage symptoms and prevent further complications. Abstract: This report describes the successful management of a 37-year-old pregnant woman with a history of pituitary macroadenoma and apoplexy during a twin pregnancy. Presenting with bitemporal vision loss, a common pituitary adenoma symptom, she showed no other alarming signs despite a twin pregnancy. Successful endoscopic resection improved her vision, and postoperative recovery was uneventful. The discussion underscores significance of the diagnostic utility of contrast MRI. The patient's favorable outcome supports endoscopic resection feasibility in pregnant individuals with pituitary apoplexy.

Exploring the Potential of ChatGPT in Obstetrics and Gynecology of Undergraduate Medical Curriculum.

ChatGPT, the new bustle in the field of technology, is attracting millions of users worldwide with its impressive skills to perform multiple tasks in a way that mimics human conversation. We conducted this study at two levels with direct and case-based questions from Obstetrics and gynecology to assess the performance of ChatGPT in the medical field. Our results suggest that ChatGPT has a good comprehension of the subject. However, ChatGPT should be trained to include  recent updates and improvements in terms of generating error-free and upgraded responses.

A national survey on the impact of the coronavirus pandemic on gynecologic surgical training.

OBJECTIVE: The objective of this study was to assess the impact of the coronavirus pandemic on gynecology surgical training. METHODS: A national cross-sectional online survey was distributed to all trainees and trainers in the higher specialist training program for obstetrics and gynecology in Ireland. The survey consisted of questions on topics which included: the volume of surgical procedures performed before and since the pandemic, confidence in performing various gynecologic procedures before and since the pandemic and questions regarding the impact of the pandemic on wellbeing and work practices. RESULTS: Trainers and trainees experienced a significant reduction in operative volumes for most procedure types. Analysis showed a significant reduction in the number of minor procedures performed by trainees (z = -2.7, P = 0.007) and a significant reduction in the number of all procedure types performed by trainers (minor procedures z = -3.78, P = <0.001; intermediate procedures z = -4.48, P = < 0.001; major procedures z = -3.69, P = < 0.001). Respondents reported they had less time for research and audit, were less able to attend courses or conferences and worried about the impact of their work on their families. CONCLUSIONS: In conclusion, this study has highlighted the current difficulties facing surgical trainees in gynecology because of the COVID-19 pandemic. These challenges have compounded an already challenging training environment for gynecology trainees. Efforts must be made to continue to provide high-quality tailored training to ensure the development of the next generation of gynecologic surgeons.

Giant mucinous cystadenocarcinoma of ovary in a young woman: a case report and review of literature.

In April 2023, we successfully treated a 21-year-old patient afflicted with a rare giant cystadenocarcinoma, an extraordinarily large mucinous ovarian tumor that weighed nearly 25 kg. The preoperative dimensions of the tumor measured 40 × 30 × 34 cm, with the tumor's weight nearing 25 kg. Despite its uncommon nature, we elected to perform a right adnexectomy, greater omentectomy, and peritoneal biopsy during the surgical intervention due to the patient's youth and the family's expressed desire to preserve fertility. In the subsequent August follow-up, CT scans revealed the complete resolution of the tumor, accompanied by the normalization of tumor markers, indicating a favorable outcome.

Neonatal lupus with complete heart block and long term follow up.

We present the case of a 27-year-old pregnant woman, newly diagnosed with Systemic Lupus Erythematosus (SLE) during pregnancy. The patient delivered a newborn at 38 weeks gestation, who, on the first day of life, manifested complete heart block. This case underscores the clinical challenges associated with neonatal lupus, emphasizing the need for collaborative, multidisciplinary management.

Appropriateness of Hysterectomy as Treatment for Benign Gynecological Conditions.

Objective: To assess the appropriateness of hysterectomies performed at a large tertiary health system using the 1997 RAND appropriateness classification system and an updated algorithm. Design: We abstracted structured and unstructured data from electronic medical records on patient demographics, primary indication(s) for hysterectomy, diagnosis codes associated with the hysterectomy, previous treatments, and laboratory results. Subjects: Patients aged 18-44 years. Exposure: Receipt of hysterectomy for benign and nonobstetric conditions from October 2014 to December 2017. Main Outcome Measures: Using these data, we provided a RAND-based (dichotomous: inappropriate/appropriate) and Wright-based (3-level: inappropriate/ambiguous/appropriate) appropriateness rating and characterized missing information patterns associated with inappropriate ratings. Results: We analyzed 1,829 hysterectomies across 30 nonmutually exclusive primary indications for surgery. Nearly a third (32.8%) of surgeries had only one primary indication for surgery. Using the RAND-based classifier, 31.3% of hysterectomies were rated as appropriate and 68.7% as inappropriate. Using the Wright-based algorithm, 58.1% of hysterectomies were rated as appropriate, 15.7% as ambiguous, and 26.2% as inappropriate. Missing information on diagnostic procedures was the most common characteristic related to both RAND-based (46.1%) and Wright-based (51.2%) inappropriate ratings. Conclusions: The 1997 RAND classification lacked guidance for several contemporary indications, including gender-affirming care. RAND also has an outdated requirement for diagnostic surgeries such as laparoscopies, which have decreased in practice as diagnostic imaging has improved. Sensitivity analyses suggest that inappropriate surgeries cannot all be attributed to bias from missing electronic medical record data. Accurately documenting care delivery for benign gynecological conditions is key to ensuring quality and equity in gynecological care.

Case log trends of urogynecology and reconstructive pelvic surgery fellows: A comparison of urology- and gynecology-based fellowship programs.

AIMS: Urogynecology and Reconstructive Pelvic Surgery (URPS) fellowship can be pursued after completion of either a urology (URO) or obstetrics and gynecology (GYN) residency. Our aim is to determine differences in graduating fellow cohort (GFC) case logs between URO- and GYN-based URPS programs. METHODS: Accreditation Council for Graduate Medical Education case logs for URPS GFCs in both GYN- and URO-based programs were analyzed for the 2019-2023 academic years (AY). Unpaired t-tests with Welch's correction were used to compare annual mean logged cases between URO- versus GYN-based GFCs for select surgical categories and the top 11 most logged index cases. RESULTS: GYN-based GFCs logged more cases for all pelvic organ prolapse (POP) categories including surgery on apical POP, anterior wall POP, and posterior wall POP (all p < 0.01), while URO-based GFCs logged more cases for surgery on the urinary system (p = 0.03). For the top 11 logged procedures, URO-based GFCs logged more sacral neuromodulation cases (p = 0.02), whereas GYN-based GFCs logged more slings, vaginal hysterectomies, minimally-invasive hysterectomies, vaginal apical POP, vaginal posterior POP, vaginal anterior POP, and minimally-invasive apical POP cases (all p < 0.01). There was no difference between URO- and GYN-based GFCs for complex urodynamics, cystoscopy with botox injection, or periurethral injection cases. CONCLUSIONS: URO-based URPS fellows tend to graduate with more surgery on the urinary system and sacral neuromodulation cases, while GYN-based fellows perform more slings, hysterectomies, and POP surgery. These findings may help fellowships better understand potential differences in training among graduates from URO- and GYN-based programs and encourage collaboration to lessen these discrepancies.