How to screen the cervix and reduce the risk of spontaneous preterm birth in asymptomatic women without a prior preterm birth.

Preterm birth (PTB) is a leading cause of perinatal morbidity and mortality globally. PTB rates have increased in South Korea despite reduction in birth rates. A history of PTB is a strong predictor of subsequent PTB and screening of cervical length between 16 0/7 weeks and 24 0/7 weeks of gestation is recommended in women with a singleton pregnancy and a prior spontaneous PTB. However, the prediction and prevention of spontaneous PTBs in women without a prior PTB remain a matter of debate. The scope of this review article comprises cervical screening and prevention strategies for PTB in asymptomatic women without a prior PTB, based on recent evidence and guidelines.

Visceral obesity as a risk factor of incisional hernia after single-port laparoscopic gynecologic surgery.

OBJECTIVE: We aimed to evaluate associations between abdominal fat distribution (AFD) parameters and incisional hernia (IH) in patients who underwent transumbilical single-port laparoscopic surgery (SPLS) for gynecological disease. METHODS: Medical records of 2116 patients who underwent SPLS for gynecological disease at Daejeon St. Mary's Hospital between March 2014 and February 2021 were reviewed. Among 21 (1.0%) patients who developed IH requiring surgical treatment after SPLS, 18 had preoperative abdominopelvic computed tomography (CT) images. As a control group, we randomly selected 72 patients who did not develop IH and who had undergone preoperative abdominopelvic CT scan, matched to test patients by type of surgery. Total fat area (TFA), visceral fat area (VFA), subcutaneous fat area (SFA), visceral-to-subcutaneous fat ratio (VSR), and waist circumference (WC) were measured at the level of the third lumbar vertebral body on the preoperative abdominopelvic CT images, using National Institutes of Health (NIH) ImageJ version 1.53 k. RESULTS: Receiver operating curve analysis showed that VFA has the highest predictive value for IH among AFD parameters (AUC = 0.749, 95% CI 0.630-0.869, p < 0.001). Univariate analysis showed that age, BMI, hypertension, dyslipidemia, TFA, VFA, VSR and WC were significant factors for IH. In multivariate analysis, only high VFA was identified as an independent risk factor for IH (HR 6.18, 95% CI 1.13-33.87, p = 0.04), whereas BMI, TFA, SFA, VSR, and WC failed to show statistical significance. CONCLUSION: We could find high VFA as an independent risk factor of IH in patients who underwent SPLS for gynecologic disease.

Advanced parental age is an independent risk factor for term low birth weight and macrosomia.

We aimed to investigate association between parental age and the risks of term low birth weight and macrosomia. This was a retrospective cohort study using a national database including 2,245,785 term singleton live births with complete parental age data. Old parental age was defined as 35 years or older. Odd ratios (OR) for term low birth weight and macrosomia were analyzed using univariate and multivariate logistic regression analysis. Neonatal sex, maternal occupation, parity, nationality, age, and paternal age were significant factors of term low birth weight and macrosomia, in univariate analysis. In multivariate analysis, old maternal age (≥35 years old) showed increased odds of term low birth weight and macrosomia (aOR = 1.122, 95% CI: 1.083 -1.162; and aOR = 1.166, 95% CI: 1.143 - 1.189, respectively). Similarly, old paternal age (≥35 years old) showed increased odds of term low birth weight and macrosomia (aOR = 1.090, 95% CI: 1.058 -1.122; and aOR = 1.101, 95% CI: 1.083 - 1.119, respectively). Maternal education that lasted more than 12 years had reduced odds of term low birth weight and macrosomia (OR = 0.817, 95% CI: 0.792 -0.842; and OR = 0.894, 95% CI: 0.879 - 0.91, respectively). Paternal education that lasted more than 12 years also had reduced odds of term low birth weight and macrosomia (OR = 0.865, 95% CI: 0.84 -0.892; and OR = 0.897, 95% CI: 0.881 - 0.913, respectively). This study suggests that not only maternal age but also paternal age are significantly associated with term low birth weight and macrosomia. In addition, parental education levels are also associated with term low birth weight and macrosomia.

Relationship between metabolic syndrome and follicle-stimulating hormone in postmenopausal women.

ABSTRACT: Depletion of ovarian reserve during menopausal transition raises follicle-stimulating hormone (FSH) markedly and menopause is related to an increased risk for metabolic syndrome (MetS). This study examined the relationship between FSH and MetS in postmenopausal women.We evaluated the anthropometric values, lipid profiles, high-sensitivity C-reactive protein (hs-CRP) level, Homeostasis model assessment for insulin resistance (HOMA-IR), and serum adipokines levels in 219 postmenopausal women. Serum FSH and estradiol levels were significantly lower in the MetS group than in the non-MetS group. An inverse correlation was observed between FSH with body fat mass (BFM), and HOMA-IR, and a positive correlation was found between FSH and adiponectin level after adjustment for age, years since menopause, BMI, and serum estradiol.The odds ratio for MetS was higher significantly in the lowest quartile of FSH level than the highest quartile of FSH level (odd ratio = 1.32, 95% CI = 1.09-1.75). Our study showed an increased FSH level favored insulin sensitivity with a higher adiponectin and lower HOMA-IR as well as a lower incidence of MetS in postmenopausal women.These findings suggest a new approach to the role of FSH for regulating energy metabolism and for use as a biomarker of MetS risk in postmenopausal women.This systematic review is based on published researches, so there is no ethical approval required.

Prediction of lymphovascular space invasion in patients with endometrial cancer.

Objective: Predict the presence of lymphovascular space invasion (LVSI), using uterine factors such as tumor diameter (TD), grade, and depth of myometrial invasion (MMI). Develop a predictive model that could serve as a marker of LVSI in women with endometrial cancer (EC). Methods: Data from 888 patients with endometrioid EC who were treated between January 2009 and December 2018 were reviewed. The patients' data were retrieved from six institutions. We assessed the differences in the clinicopathological characteristics between patients with and without LVSI. We performed logistic regression analysis to determine which clinicopathological characteristics were the risk factors for positive LVSI status and to estimate the odds ratio (OR) for each covariate. Using the risk factors and OR identified through this process, we created a model that could predict LVSI and analyzed it further using receiver operating characteristic curve analysis. Results: In multivariate logistic regression analysis, tumor size (P = 0.027), percentage of MMI (P < 0.001), and presence of cervical stromal invasion (P = 0.002) were identified as the risk factors for LVSI. Based on the results of multivariate logistic regression analysis, we developed a simplified LVSI prediction model for clinical use. We defined the "LVSI index" as "TD×%MMI×tumor grade×cervical stromal involvement." The area under curve was 0.839 (95% CI= 0.809-0.869; sensitivity, 74.1%; specificity, 80.5%; negative predictive value, 47.3%; positive predictive value, 8.6%; P < 0.001), and the optimal cut-off value was 200. Conclusion: Using the modified risk index of LVSI, it is possible to predict the presence of LVSI in women with endometrioid endometrial cancer. Our prediction model may be an appropriate tool for integration into the clinical decision-making process when assessed either preoperatively or intraoperatively.