International Journal of Gynecology & Obstetrics最新文献

{"title":"Announcing the winner of the John J. Sciarra IJGO prize paper award for 2024","authors":"Michael Geary","doi":"10.1002/ijgo.70061","DOIUrl":"https://doi.org/10.1002/ijgo.70061","url":null,"abstract":"<p>The editors of the <i>International Journal of Gynecology &amp; Obstetrics</i> (IJGO) are pleased to announce the winner of the prize paper award for the best clinical research paper from a low- or middle-income country published in IJGO during 2024. The winning paper is: Soares FM, da Rocha Carvalho Rosa LO, Cecatti JG, et al. <b>Design, construction, and validation of obstetric risk classification systems to predict intensive care unit admission</b>. <i>Int J Gynecol Obstet</i>. 2024; 167: 1243–1254. https://doi.org/10.1002/ijgo.15782. It was published in the December 2024 issue of IJGO.</p><p>This award brings with it a stipend of £800, a certificate of recognition, and complimentary access to IJGO for a period of 1 year from the date the prize is awarded.</p><p>All clinical research articles submitted to the IJGO from low- and middle-income countries that were published in 2024 were considered for this prize. The paper was chosen from 181 qualifying articles. Selection and review were undertaken by the editors, and the Editorial Board of IJGO endorsed the decision.</p><p>The winning paper is by Soares et al. The study investigates the development and validation of a machine-learning-based risk classification system to predict intensive care unit (ICU) admission for high-risk pregnant women. Using data from 9550 cases of severe maternal morbidity, machine-learning models were tested on accuracy, sensitivity and specificity. The highest-performing model, XGBoost, estimated ICU admission at 11.6%, lower than the actual 21.5%, suggesting the potential overuse of ICU resources. The findings of this study highlight the potential for AI-driven tools to optimize ICU allocation and improve maternal care.</p><p>Additional papers that are worthy of special recognition are awarded an honorable mention. While the honorable mention recognition does not include a financial award, each author receives a certificate of recognition and a letter of commendation from the editors of IJGO.</p><p>The following 11 papers receive an honorable mention:</p>","PeriodicalId":14164,"journal":{"name":"International Journal of Gynecology & Obstetrics","volume":"169 1","pages":"450-451"},"PeriodicalIF":2.6,"publicationDate":"2025-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/ijgo.70061","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143632764","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Letter to the editor: Vascular dysfunction in women with recurrent pregnancy loss—Possible association with antiphospholipid antibodies","authors":"Li E. Huo,&nbsp;Ning Li,&nbsp;Yandong Yang","doi":"10.1002/ijgo.70019","DOIUrl":"10.1002/ijgo.70019","url":null,"abstract":"","PeriodicalId":14164,"journal":{"name":"International Journal of Gynecology & Obstetrics","volume":"169 2","pages":"855-856"},"PeriodicalIF":2.6,"publicationDate":"2025-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143567068","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Evaluating the impact of Hoopicoach: A digital health tool for supporting patients through gynecologic surgery.","authors":"Louise Benoit, Vanille Maradji, Camille Madelon, Sonia Rozette, Enrica Bentivegna, Huyen-Thu Nguyen-Xuan, Henri Azaïs, Anne-Sophie Bats, Rosy Tsopra, Meriem Koual","doi":"10.1002/ijgo.70047","DOIUrl":"https://doi.org/10.1002/ijgo.70047","url":null,"abstract":"<p><strong>Objective: </strong>Hoopicoach is a digital health tool designed to support patients throughout all stages of gynecologic surgery, including pre-, intra-, and postoperative phases. It offers a personalized care pathway based on the type of surgery, providing reliable medical information through easily understandable content, diagrams, a chatbot, and videos produced by medical staff. The present study aimed to evaluate patient and caregiver usage and satisfaction with Hoopicoach, focusing on frequency of use, satisfaction, stress management, and patient understanding of surgery. Additionally, the study assessed the tool's value for healthcare professionals.</p><p><strong>Methods: </strong>A pilot, observational, descriptive, single-center cohort study was conducted in a gynecologic and breast cancer surgery department from September 2020 to May 2022. The referring surgeon offered Hoopicoach to all patients scheduled for applicable surgeries. Self-administered questionnaires were completed by patients and caregivers.</p><p><strong>Results: </strong>A total of 79 patients participated, primarily aged 40-65 years, with most usage occurring before surgery, particularly among those undergoing partial mastectomies. High satisfaction was reported, with 93.7% willing to recommend Hoopicoach. A total of 89% rated their understanding of surgery as 4 or 5 (on a 5-point scale), and 80% felt all their questions were answered. Frequent use correlated with reduced stress, though was not statistically significant. Among 16 caregivers, 94% found Hoopicoach helpful for informing patients, and 87% believed it enhanced care quality.</p><p><strong>Conclusion: </strong>Hoopicoach effectively supports patients throughout their surgical journey in gynecology, with high satisfaction reported by both patients and caregivers.</p>","PeriodicalId":14164,"journal":{"name":"International Journal of Gynecology & Obstetrics","volume":" ","pages":""},"PeriodicalIF":2.6,"publicationDate":"2025-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143567059","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Ultrasound-guided intercostal block for the management of intercostal neuralgia in pregnant women: Case series and review of the literature.","authors":"Laura Tascón Padrón, Norah L A Emrich, Carolin Schröder, Florian Recker, Brigitte Strizek, Jorge Jiménez Cruz","doi":"10.1002/ijgo.70049","DOIUrl":"https://doi.org/10.1002/ijgo.70049","url":null,"abstract":"<p><p>Intercostal neuralgia (ICN) in pregnancy is a rare condition which, to date, has not been well studied. Due to the lack of evidence, there is not a consensus about effective therapeutic strategies for this condition. The present study investigated the feasibility of ultrasound-guided intercostal block (UG-ICB) using ropivacaine for these patients. A total of 17 cases treated at the University Hospital Bonn from May 2017 to September 2024 were reviewed. Patients presenting with severe unilateral chest or flank pain were diagnosed with ICN. UG-ICB was applied, and all patients reported immediate pain relief, with only two women requiring a second infiltration due to pain recurrence. No serious adverse events were recorded. The application technique can be consulted in the video related to this publication. The present study highlights that UG-ICB is feasible, safe and appears to be effective for managing ICN during pregnancy. This procedure provides significant pain relief while minimizing risks to the fetus. Reviewing the literature this study group was unable to find qualitative evidence assessing ICN and rib pain in pregnancy, although this condition is thought to be related to pregnancy. Further research is recommended to improve treatment strategies for ICN during pregnancy and bridge the gap between clinical knowledge and evidence surrounding this condition.</p>","PeriodicalId":14164,"journal":{"name":"International Journal of Gynecology & Obstetrics","volume":" ","pages":""},"PeriodicalIF":2.6,"publicationDate":"2025-03-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143556836","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Outbreak of parvovirus-B19 infection in pregnant women: Is it time to rethink a preconception or first trimester screening?","authors":"Carolina Saffioti, Monica Melchio, Emilio Cristina, Caterina Costagliola, Federico Prefumo, Dario Paladini, Carolina Scala, Eddi Di Marco, Patrizia Caligiuri, Elio Castagnola, Erica Ricci","doi":"10.1002/ijgo.70057","DOIUrl":"https://doi.org/10.1002/ijgo.70057","url":null,"abstract":"","PeriodicalId":14164,"journal":{"name":"International Journal of Gynecology & Obstetrics","volume":" ","pages":""},"PeriodicalIF":2.6,"publicationDate":"2025-03-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143556835","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Fertility after cancer.","authors":"Jaideep Malhotra, Diksha Goswami, Neharika Malhotra, Shally Gupta, Keshav Malhotra, Priya Bhave Chittawar, Nikhil C Purandare","doi":"10.1002/ijgo.16185","DOIUrl":"https://doi.org/10.1002/ijgo.16185","url":null,"abstract":"<p><p>Both chemotherapy and radiotherapy can cause infertility in a patient undergoing cancer therapy. As both the ovaries and uterus are involved in female patients, the effects are profound. Where cryopreservation is not used or is unavailable, reproductive options include spontaneous conception if fertility returns, donor gametes, adoption, and surrogacy. Semen, oocyte, embryo, and ovarian tissue cryopreservation all offer an opportunity for a pregnancy after cancer cure if natural fertility is not possible. The risks of fertility preservation are significant for women due to the risks of surgical procedures, ovarian hyperstimulation syndrome, and delay of cancer therapy. Pregnancies that establish in women after cancer cure have specific risks including premature labor, cesarean section, congenital anomalies, and the risk of transmitting disease associated with genetic history. Where ovarian reimplantation is considered, the risk of reimplantation of malignant cells must be considered particularly in hematological and breast disease.</p>","PeriodicalId":14164,"journal":{"name":"International Journal of Gynecology & Obstetrics","volume":" ","pages":""},"PeriodicalIF":2.6,"publicationDate":"2025-03-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143556831","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Accuracy of sonographic fetal biometry in estimating intertwin size discordance at birth.","authors":"Arietta Vayenas, Sophia Rahimi, Nir Melamed","doi":"10.1002/ijgo.70036","DOIUrl":"https://doi.org/10.1002/ijgo.70036","url":null,"abstract":"<p><strong>Objective: </strong>To determine the accuracy of estimated fetal weight (EFW) and abdominal circumference (AC) discordance in diagnosing large birthweight (BW) discordance and selective fetal growth restriction (sFGR).</p><p><strong>Methods: </strong>Retrospective cohort study of patients with twin pregnancies followed at a tertiary center (N = 1065). We determined the accuracy of intertwin fetal size discordance (based on either EFW or fetal AC) at the last ultrasound exam before birth in estimating birthweight discordance and in diagnosing sFGR at birth.</p><p><strong>Results: </strong>EFW discordance was more accurate than AC discordance in estimating BW discordance as reflected by a smaller systematic error (-0.97% vs. -6.43%, respectively, P < 0.001) and mean absolute percentage error (5.70% vs. 7.35%, respectively, P < 0.001), and a larger proportion of cases with discordance within 5%, 10%, or 15% of BW discordance (53.1% vs. 45.4%, 84.3% vs. 72.4%, and 95.1% vs. 87.0%, respectively). Still, both EFW discordance and AC discordance had low diagnostic accuracy for large BW discordance and sFGR. For example, EFW discordance >20% had a sensitivity of 49.1% and a positive predictive value of 57.0% for BW discordance >20%, and the antenatal diagnosis of sFGR had a sensitivity of 45.8%-54.4% and a positive predictive value of 50.9%-55.2% for the postnatal diagnosis of sFGR.</p><p><strong>Conclusion: </strong>While EFW discordance was more accurate than AC discordance in estimating BW discordance, both measures had low diagnostic accuracy for large BW discordance and sFGR. Care providers should consider the limited diagnostic accuracy when making management decisions on the timing and mode of delivery.</p>","PeriodicalId":14164,"journal":{"name":"International Journal of Gynecology & Obstetrics","volume":" ","pages":""},"PeriodicalIF":2.6,"publicationDate":"2025-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143542009","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"An early prediction model for gestational diabetes mellitus created using machine learning algorithms.","authors":"Zhifen Yang, Xiaoyue Shi, Shengpu Wang, Lijia Du, Xiaoying Zhang, Kun Zhang, Yongqiang Zhang, Jinlong Ma, Rui Zheng","doi":"10.1002/ijgo.70055","DOIUrl":"https://doi.org/10.1002/ijgo.70055","url":null,"abstract":"<p><strong>Objective: </strong>To investigate high-risk factors for gestational diabetes mellitus (GDM) in early pregnancy through an analysis of demographic and clinical data, and to develops a machine-learning-based prediction model to enhance early diagnosis and intervention.</p><p><strong>Methods: </strong>A retrospective study was performed involving 942 pregnant women. A stacking ensemble (machine learning [ML]) was applied to demographic and clinical variables, creating a predictive model for GDM. Model performance was evaluated through receiver-operating characteristics (ROC) analysis, and the area under the curve (AUC) was calculated. Risk stratification was performed using quartile-based probability thresholds, and predictive accuracy was validated using an independent dataset.</p><p><strong>Results: </strong>Significant predictors for GDM included age, pre-pregnancy body mass index (BMI; calculated as weight in kilograms divided by the square of height in meters), history of GDM, family history of diabetes, history of fetal macrosomia, education level, history of hypertension, and gravidity. These factors, which can be collected non-invasively at the first prenatal visit, formed the basis of a robust predictive model (AUC = 0.89). The model demonstrated a strong ability to exclude GDM, at a threshold of 28.53%.</p><p><strong>Conclusions: </strong>The machine-learning-based prediction model effectively identifies populations at high risk for GDM before invasive testing and oral glucose tolerance test, facilitating early clinical intervention and resource optimization.</p>","PeriodicalId":14164,"journal":{"name":"International Journal of Gynecology & Obstetrics","volume":" ","pages":""},"PeriodicalIF":2.6,"publicationDate":"2025-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143542010","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A risk scoring model for predicting adverse maternal outcomes in pregnancy with pre-eclampsia.","authors":"Manaphat Suksai, Alan Geater, Pawinee Amornchat, Chitkasaem Suwanrath","doi":"10.1002/ijgo.70044","DOIUrl":"https://doi.org/10.1002/ijgo.70044","url":null,"abstract":"<p><strong>Objective: </strong>Pre-eclampsia can lead to mortality and morbidity. The aim of this study was to establish a multivariate model to predict the adverse maternal events associated with pre-eclampsia in the Thai population and to provide the composite measure of adverse perinatal events.</p><p><strong>Methods: </strong>A retrospective study was conducted at the Songklanagarind Hospital between January 2011 and December 2020. Multivariable logistic regression analysis was used to identify clinical risk factors for adverse maternal outcomes in pregnancies complicated with pre-eclampsia and to establish a predictive model. A nomogram was generated to determine the probability of adverse event in pre-eclampsia patient.</p><p><strong>Results: </strong>Of the 1094 cases of pre-eclampsia identified, 202 (18.46%) developed adverse outcomes. The majority of adverse consequences were cardiorespiratory complications (110 cases, 54.46%), intensive care unit admissions (66 cases, 32.67%), and hematologic disorders (50 cases, 24.75%). Maternal death occurred in four cases (0.37%). Significant risk factors included a history of drug abuse, dyspnea, visual disturbance, systolic blood pressure ≥180 mmHg, hemoglobin <10 g/dL, platelet count <150 000/μL, total bilirubin >0.8 mg/dL, aspartate aminotransferase >35 IU/L, lactate dehydrogenase >500 IU/L, INR >1, creatinine >1 mg/dL, urine protein/creatinine ratio >1 mg/mg, and uric acid >7.5 mg/dL. The regression model for prediction of adverse maternal outcomes in pre-eclampsia achieved a receiver operating characteristic area of 0.86 (95% confidence interval: 0.83-0.89). Pre-eclampsia patients with a total score of ≥3 had an increased risk of developing adverse maternal outcomes (sensitivity: 80%, specificity: 78%).</p><p><strong>Conclusion: </strong>A new simplified scoring model and nomogram based on clinical characteristics and laboratory tests were developed to facilitate risk stratification of adverse maternal outcomes associated with pre-eclampsia in routine clinical practice.</p>","PeriodicalId":14164,"journal":{"name":"International Journal of Gynecology & Obstetrics","volume":" ","pages":""},"PeriodicalIF":2.6,"publicationDate":"2025-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143541910","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Comparison of transvaginal or transumbilical tissue extraction at laparoscopic gynecologic surgery: A 12-year experience.","authors":"Osman Aşıcıoğlu, Berhan Besimoglu, Sinan Ateş","doi":"10.1002/ijgo.70050","DOIUrl":"https://doi.org/10.1002/ijgo.70050","url":null,"abstract":"<p><strong>Objective: </strong>To present our surgical outcomes by comparing the transumbilical and transvaginal methods for the removal of specimens in laparoscopic surgery of fibroids and adnexal masses during our 12 years of experience.</p><p><strong>Methods: </strong>A retrospective cohort study was conducted at our referral center between January 2012 and April 2024. We evaluated surgical outcomes, patients' clinical-demographic characteristics, cosmetic-pain scores and dyspareunia by comparing the two methods that we use routinely.</p><p><strong>Results: </strong>We retrospectively reviewed 285 patients. Visual analog scale (VAS) scores at 24 h were lower in the transvaginal group than in the transumbilical group (0.4 ± 0.6 vs. 0.8 ± 0.8, P < 0.001). The 3-month postoperative cosmetic score (CS) was higher in the transvaginal group than in the transumbilical group (4.5 ± 0.5 vs. 4.1 ± 0.6, P < 0.001). Furthermore, myomectomy and transumbilical were independent risk factors for lower VAS scores 24 h post surgery (myomectomy: odds ratio [OR] 3.42, P = 0.001, transvaginal route: OR 0.41, P = 0.005). Finally, the transumbilical extraction route and extension of the umbilical incision were independent risk factors for lower CS (P = 0.035 and P = 0.028).</p><p><strong>Conclusion: </strong>Removal of the specimen via the transvaginal route in laparoscopic adnexal mass and fibroid surgeries may lead to less pain in the early postoperative period and better cosmetic results without increasing the duration of the operation, the rate of intraoperative complications, and the rate of dyspareunia.</p>","PeriodicalId":14164,"journal":{"name":"International Journal of Gynecology & Obstetrics","volume":" ","pages":""},"PeriodicalIF":2.6,"publicationDate":"2025-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143542011","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}