International Journal of Gynecology & Obstetrics最新文献

Gender relations are a set of socially determined norms and rules that assign values, characteristics, and expectations to individuals based on their biological sex. These aspects also influence the clinician-patient relationship, since it has been for a long time based on cisheteronormativity. However, this attitude alienated the LGBTQIA+ community from health services. Global and specific gynecologic care needs to be offered to the LGBTQIA+ population, which has demands for sexual and reproductive health care. In this narrative review, we bring conceptual aspects, gender identity and expression, sexual history, screening for cancer and other care to the community.

Iron deficiency anemia is an important problem among pregnant women, and intravenous (IV) iron infusions have been increasingly used. Whether fetal monitoring is required during infusion has been debated, with a recent guideline by Hematologists recommending against such. We report two cases of fetal bradycardia after iron isomaltoside (IIM), in women with otherwise good maternal and fetal health. Both developed dyspnea with desaturation minutes from infusion, followed by persistent fetal bradycardia. Both underwent category 1 CS, with cord arterial pH of 7.08 and 6.94 respectively. Upon literature review, only three case reports on fetal bradycardia in IV iron were identified. For older IV iron formulations, a case was reported after IV dextran test dose, while two cases after ferric gluconate were reported. For the new formulation IIM, only one case was reported so far, but in a woman with Crohn's disease and intrauterine growth restriction. IV iron in pregnancy carries risk of anaphylactic or hypersensitivity reactions, even with the newest formulations and in women with good maternal and fetal health. While rarely reported so far, fetal bradycardia is a possible consequence, commonly preceded by respiratory symptoms. Fetal monitoring should therefore be considered during infusion.

Objective: The aim of the present study was to determine the risk factors for patients with pre-eclampsia (PE) with severe features to develop hemolysis, elevated liver enzymes and low platelets (HELLP) syndrome and to design a prediction score model that incorporates these risk factors.

Methods: A retrospective cohort study was conducted at a tertiary university-affiliated medical center between 2011 and 2019. The study population comprised patients diagnosed with PE with severe features, divided into two groups: those with HELLP syndrome (study group) and those without (control group). A logistic regression was employed to identify independent predictors of HELLP syndrome. A predictive model for the occurrence of HELLP syndrome in the context of PE with severe features was developed using a receiver operating characteristic curve analysis.

Results: Overall, 445 patients were included, of whom 69 patients were in the study group and 376 in the control group. A multivariate logistic analysis regression showed that maternal age <40 (OR = 2.28, 95% CI: 1.13-5.33, P = 0.045), nulliparity (OR = 2.22, 95% CI: 1.14-4.88, P = 0.042), mild hypertension (OR = 2.31, 95% CI: 1.54-4.82, P = 0.019), epigastric pain (OR = 3.41, 95% CI: 1.92-7.23, P < 0.001) and placental abruption (OR = 6.38, 95% CI: 1.29-35.61, P < 0.001) were independent risk factors for HELLP syndrome. A prediction score model reached a predictive performance with an area under the curve of 0.765 (95% CI: 0.709-0.821).

Conclusion: This study identified several key risk factors for developing HELLP syndrome among patients with PE with severe features and determined that a prediction score model has the potential to aid clinicians in identifying high risk patients.

Objective: To assess the quality, reliability, and level of misinformation in TikTok videos about hysteroscopy.

Methods: A cross-sectional analysis of TikTok videos retrieved using "hysteroscopy" as search term was performed. Patient education materials assessment tool for audio-visual content (PEMAT A/V), the modified DISCERN (mDISCERN), global quality scale (GQS), video information and quality index (VIQI) and misinformation assessment were used.

Results: Of three hundred videos captured, 156 were excluded and 144 were included. Most videos were partially accurate or uninformative (43.8% and 34.7%, respectively). Non-healthcare providers produced more inaccurate or uninformative videos than healthcare workers (51.1% vs 4.0%; P < 0.001). Compared to content by professionals, content by patients showed increased distrust towards gynecologists (11.7% vs 0%; P = 0.012) and increased incidence of anxiety and concern towards hysteroscopy (25.5% vs 2%; P < 0.001). PEMAT A/V scores for understandability and actionability were low at 42.9% (interquartile range [IQR]: 11.1-70) and 0% (IQR: 0-0), respectively. Understandability (P < 0.001) and actionability (P = 0.001) were higher for professionals' created content relative to patients' videos. Similarly, median mDISCERN score was low (1 [IQR 0-2]), with significantly higher score for healthcare professionals compared to patients (P < 0.001). Overall video quality was also low, with median VIQI and GQS score of 7 (IQR 4-11) and 1 (IQR 1-3), respectively, and significantly higher scores for healthcare workers' captions compared to patients' for both (P < 0.001 and P = 0.001, respectively).

Conclusion: TikTok videos' quality on hysteroscopy seems unsatisfactory and misinformative, with low understandability and actionability scores. Videos recorded by healthcare workers show higher quality and less misinformation than those by patients. Raising the awareness regarding the low quality of medical information on social media is crucial to increase future reliability and trustworthiness.

Objective: To compare circulating levels of vascular endothelial growth factor receptor 3 (VEGFR-3) in women with pregnancy-induced hypertension (PIH) and in non-pregnant (NP) and healthy pregnant (HP) women.

Methods: We conducted a case-control study including PIH (n = 135), HP (n = 68), and NP (n = 49) women from southeastern Brazil. PIH were diagnosed according to international guidelines, and defined as gestational hypertension (GH, n = 61) or pre-eclampsia (n = 74). VEGFR-3 was measured in plasma using ELISA.

Results: Plasma VEGFR-3 was increased in HP (1207 pg/mL) compared with NP (133 pg/mL) women; however, PIH (729 pg/mL) patients exhibited lower levels than HP women (both p < 0.05). In addition, plasma VEGFR-3 was decreased in pre-eclampsia compared with GH (537 versus 980 pg/mL; p < 0.05). When pre-eclampsia was classified according to different clinical presentations, plasma VEGFR-3 was further decreased in the cases identified as pre-eclampsia with severe features, preterm pre-eclampsia, and pre-eclampsia accompanied by small for gestational age (all p < 0.05).

Conclusion: Our data indicate reduced circulating VEGFR-3 levels in patients with PIH, specifically in those diagnosed with pre-eclampsia. Moreover, decreased VEGFR-3 was associated with adverse clinical outcomes in pre-eclampsia. These findings expand previous evidence of reduced VEGFR-3 expression in pre-eclampsia. Future studies should investigate whether it can be used as a predictive biomarker and/or therapeutic target for pre-eclampsia.

Gestational trophoblastic neoplasia (GTN) with spinal metastasis is rare with few documented cases worldwide. Few studies have explored chemotherapy combined with radiotherapy in the treatment of such cases. However, because of its rarity, there is still no standardized treatment regimen. A 34-year-old Gravida 1 Para 0 (0010) was diagnosed with GTN with metastasis to the lumbosacral spine, resulting in conus medullaris syndrome with lumbar radiculopathy. She presented with a 14-month history of amenorrhea, left lower extremity pain, and urinary and bowel retention. On examination, there was a 10.0 × 7.0 cm lumbosacral mass and atrophy of the left lower extremity. Transvaginal ultrasound showed a cul de sac mass, and diluted β-human chorionic gonadotropin (β-hCG) titer was markedly elevated at more than 1000 000 mIU/mL. Magnetic resonance imaging (MRI) of the lumbosacral spine showed an ill-defined sacral mass measuring 13.3 × 11.5 × 6.3 cm with spinal canal, bone, muscle, and nerve root involvement. She was treated with 10 cycles of EMACO and palliative radiotherapy with 10 sessions of 30 Gy of external beam radiation therapy directed toward the lumbosacral mass. Repeat MRI showed a decrease in size of the mass to 6.6 × 8.2 × 4.1 cm with concurrent decrease in β-hCG to 1.30 mIU/ml, and resolution of leg pain and urinary and bowel symptoms. She was declared to be in remission 3 months after the last cycle of EMACO.

Objectives: Malignant struma ovarii (MSO) is a rare ovarian tumor characterized by mature thyroid tissue. The diverse symptoms and uncommon nature of MSO can create difficulties in its diagnosis and treatment. This study aimed to analyze data and use machine learning methods to understand the prognostic factors and potential management strategies for MSO.

Methods: In this retrospective cohort, the Surveillance, Epidemiology, and End Results (SEER) database provided the data used for this study's analysis. To identify the prognostic variables, we conducted Cox regression analysis and constructed prognostic models using five machine learning algorithms to predict the 5-year survival. A validation method incorporating the area under the curve of the receiver operating characteristic curve was used to validate the accuracy and reliability of the machine learning models. We also investigated the role of multiple therapeutic options using the Kaplan-Meier survival analysis.

Results: The study population comprised 329 patients. Multivariate Cox regression analysis revealed that older age, unmarried status, chemotherapy, and the total number of tumors in patients were poor prognostic factors. Machine learning models revealed that the multilayer perceptron accurately predicted outcomes, followed by the random forest classifier, gradient boosting classifier, K-nearest neighbors, and logistic regression models. The factors that contributed the most were age, marital status, and the total number of tumors in the patients.

Conclusion: The present study offers a comprehensive approach for the treatment and prognosis assessment of patients with MSO. The machine learning models we have developed serve as a practical, personalized tool to aid in clinical decision-making processes.

Objective: To identify the predictive value of the neutrophil-to-lymphocyte ratio (NLR) on admission for intrapartum maternal fever in parturients undergoing epidural analgesia (EA).

Methods: In this retrospective cohort study, propensity score matching (PSM) was applied to address covariates. Univariate and multivariate regression analyses were implemented in sequence to find out the factors influencing intrapartum fever. The receiver operating characteristics curve was applied to determine the area under the curve (AUC) of NLR for intrapartum fever.

Results: NLR and duration of EA were independent risk factors for intrapartum fever. The AUC of the combined indicator (NLR + duration of EA) was higher than that of NLR (AUC = 0.583, 95% confidence interval [CI] 0.53-0.64) and duration of EA (AUC = 0.702, 95% CI 0.66-0.75), reaching 0.715 (95% CI 0.67-0.76; p < 0.001). NLR increased predictive performance for intrapartum fever when added to the duration of EA (net reclassification index 0.076, p = 0.022; integrated discrimination improvement 0.020, p = 0.002).

Conclusion: NLR has limited predictive power for intrapartum fever. The combination of NLR and duration of epidural analgesia may be considered a promising predictor for intrapartum maternal fever in parturients undergoing epidural analgesia.

Synopsis: The neutrophil-to-lymphocyte ratio is an accessible predictor for the early identification of parturients at risk of intrapartum fever.

Background: There has been debate over whether the existing World Health Organization (WHO) criteria accurately represent the severity of maternal near misses.

Objective: This study assessed the diagnostic accuracy of two WHO clinical and laboratory organ dysfunction markers for determining the best cutoff values in a Latin American setting.

Methods: A prospective multicenter cohort study was conducted in five Latin American countries. Patients with severe maternal complications were followed up from admission to discharge. Organ dysfunction was determined using clinical and laboratory data, and participants were classified according to severe maternal outcomes. This study compares the diagnostic criteria of Latin American Centre for Perinatology, Network for Adverse Maternal Outcomes (CLAP/NAMO) to WHO standards.

Results: Of the 698 women studied, 15.2% had severe maternal outcomes. Most measured variables showed significant differences between individuals with and without severe outcomes (all P-values <0.05). Alternative cutoff values suggested by CLAP/NAMOs include pH ≤7.40, lactate ≥2.3 mmol/L, respiratory rate ≥ 24 bpm, oxygen saturation ≤ 96%, PaO₂/FiO₂ ≤ 342 mmHg, platelet count ≤189 × 10⁹ × mm³, serum creatinine ≥0.8 mg/dL, and total bilirubin ≥0.67 mg/dL. No significant differences were found when comparing the diagnostic performance of the CLAP/NAMO criteria to that of the WHO standards.

Conclusion: The CLAP/NAMO values were comparable to the WHO maternal near-miss criteria, indicating that the WHO standards might not be superior in this population. These findings suggest that maternal near-miss thresholds can be adapted regionally, improving the identification and management of severe maternal complications in Latin America.