The Role of the Aryl Hydrocarbon Receptor in Vascular Factors Related to Preeclampsia in a Smoking Mouse Model.

Smoking cigarettes is known to lower the risk of preeclampsia. The objective of this study is to evaluate the effect of smoking on the expression of soluble FMS-like tyrosine kinase-1 (sFlt-1), vascular endothelial growth factor (VEGF), and endoglin (sEng)-1 and the role of the aryl hydrocarbon receptor (AhR) in pregnant mice. We developed a smoking mouse model using a gas-filling system. One or two cigarettes per day were exposed to each of the five pregnant mice for five days a week throughout pregnancy. AhR agonist and antagonist were injected. Serum levels and expression in the placenta of sFlt-1, VEGF, and sEng-1 were analyzed and compared among the cigarette smoke and no-exposure groups after delivery. Compared to the no-smoke exposure group, the serum level of sFlt-1 was significantly decreased in the two-cigarette-exposed group (p < 0.001). When the AhR antagonist was added to the two-cigarette-exposed group, sFlt-1 levels were significantly increased compared to the two-cigarette group (p = 0.002). The levels of sFlt-1 in the AhR antagonist group did not change regardless of two-cigarette exposure (p = 0.064). With the AhR agonist, sFlt-1 decreased significantly compared to the control (p = 0.001) and AhR antagonist group (p = 0.002). The sFlt-1 level was significantly decreased after the injection of the AhR agonist compared to the control group (p = 0.001). Serum levels of VEGF were significantly decreased in the one-cigarette-exposed group compared to the control group; however, there was no difference between the control and the two-cigarette-exposed groups. The placental expression of sFlt-1, VEGF, and sEng were inconsistent. This study offers insights into the potential role of AhR on antiangiogenic sFlt-1 associated with preeclampsia. It may support the invention of a new treatment strategy for preeclampsia using AhR activation.

The Risk of Hypertension and Diabetes Mellitus According to Offspring's Birthweight in Women With Normal Body Mass Index: A Nationwide Population-Based Study.

BACKGROUND: Maladaptation to vascular, metabolic, and physiological changes during pregnancy can lead to fetal growth disorders. Moreover, adverse outcomes during pregnancy can further increase the risk of cardiovascular and metabolic diseases in mothers. Delivering a large-for-gestational-age (LGA) baby may indicate a pre-existing metabolic dysfunction, whereas delivering a small-for-gestational-age (SGA) baby may indicate a pre-existing vascular dysfunction. This study aims to assess the risk of hypertension (HTN) and diabetes mellitus (DM) in women with normal body mass index (BMI) scores who did not experience gestational DM or hypertensive disorders during pregnancy based on the offspring's birthweight. METHODS: This retrospective nationwide study included women with normal BMI scores who delivered a singleton baby after 37 weeks. Women with a history of DM or HTN before pregnancy and those with gestational DM or hypertensive disorders, were excluded from the study. We compared the risk of future maternal outcomes (HTN and DM) according to the offspring's birthweight. Multivariate analyses were performed to estimate the hazard ratio (HR) for the future risk of HTN or DM. RESULTS: A total of 64,037 women were included in the analysis. Of these, women who delivered very LGA babies (birthweight > 97th percentile) were at a higher risk of developing DM than those who delivered appropriate-for-gestational-age (AGA) babies (adjusted HR = 1.358 [1.068-1.727]), and women who delivered very SGA babies (birthweight < 3rd percentile) were at a higher risk of developing HTN than those who delivered AGA babies (adjusted HR = 1.431 [1.181-1.734]), even after adjusting for age, parity, gestational age at delivery, fetal sex, maternal BMI score, and a history of smoking. CONCLUSION: These findings provide a novel support for the use of the offspring's birthweight as a predictor of future maternal diseases such as HTN and DM.

Vulnerable newborn types: Analysis of population-based registries for 165 million births in 23 countries, 2000-2021.

OBJECTIVE: To examine the prevalence of novel newborn types among 165 million live births in 23 countries from 2000 to 2021. DESIGN: Population-based, multi-country analysis. SETTING: National data systems in 23 middle- and high-income countries. POPULATION: Liveborn infants. METHODS: Country teams with high-quality data were invited to be part of the Vulnerable Newborn Measurement Collaboration. We classified live births by six newborn types based on gestational age information (preterm <37 weeks versus term ≥37 weeks) and size for gestational age defined as small (SGA, <10th centile), appropriate (10th-90th centiles), or large (LGA, >90th centile) for gestational age, according to INTERGROWTH-21st standards. We considered small newborn types of any combination of preterm or SGA, and term + LGA was considered large. Time trends were analysed using 3-year moving averages for small and large types. MAIN OUTCOME MEASURES: Prevalence of six newborn types. RESULTS: We analysed 165 017 419 live births and the median prevalence of small types was 11.7% - highest in Malaysia (26%) and Qatar (15.7%). Overall, 18.1% of newborns were large (term + LGA) and was highest in Estonia 28.8% and Denmark 25.9%. Time trends of small and large infants were relatively stable in most countries. CONCLUSIONS: The distribution of newborn types varies across the 23 middle- and high-income countries. Small newborn types were highest in west Asian countries and large types were highest in Europe. To better understand the global patterns of these novel newborn types, more information is needed, especially from low- and middle-income countries.

Telecommuting-related health outcomes during the COVID-19 pandemic in South Korea: a national population-based cross-sectional study.

BACKGROUND: Telecommuting has expanded greatly during the COVID-19 pandemic. Since the advent of remote working from home, there has been an ongoing controversy about the positive or negative health-related impact of telecommuting. This study aimed to investigate change in the occupational health risk in South Korean workers involved in telecommuting during the pandemic period compared to daily commuters. METHODS: A population-based cross-sectional study of South Korean workers using the secondary data from the 6th Korean Working Conditions Survey (2020-2021) was designed. A total of 12,354 white-collar wage employees were selected as the study sample. Telecommuting, depression, anxiety, insomnia, fatigue, musculoskeletal pain, headache-eye strain, absenteeism, and presenteeism were measured by self-reported data. Multiple logistic regression models, including gender stratification analysis, were used to estimate the adjusted odds ratio (AOR) with a 95% confidence interval (CI) for the health outcomes of telecommuters. RESULTS: Among the study population, 338 males and 318 females were reported to be telecommuters. The entirely adjusted regression model showed a positive association between telecommuting and anxiety (AOR = 2.82; 95% CI, 1.93-4.10), insomnia (AOR = 1.93; 95% CI, 1.27-2.92), fatigue (AOR = 1.76; 95% CI, 1.30-2.37), musculoskeletal pain (AOR = 1,76; 95% CI, 1.33-2.32), headache-eye strain (AOR = 1.94; 95% CI, 1.48-2.54), presenteeism (AOR = 1.66; 95% CI, 1.20-2.28) respectively. Gender difference was identified in that only female telecommuters had a higher risk of depression (AOR = 1.62; 95% CI, 1.04-2.53) and insomnia (AOR = 2.07; 95% CI, 1.26-3.41) than daily commuters in the adjusted model. CONCLUSION: Telecommuting was significantly associated with an increased risk of various health problems among South Korean workers and females were identified as a more vulnerable group. Although further research is required to ascertain the causal relationship, public health intervention should be considered to prevent the negative effects of telecommuting.

Prepregnancy Glucose Levels Within Normal Range and Its Impact on Obstetric Complications in Subsequent Pregnancy: A Population Cohort Study.

BACKGROUND: We sought to identify the influence of prepregnancy glucose levels on obstetric complications in subsequent pregnancy. METHODS: Women in Republic of Korea who had given birth between January 1st, 2007 and December 31st, 2010 were enrolled. The database of the Health Insurance Review and Assessment Service and data from a national health screening program for infants and children were used. Subjects were divided into seven groups according to their fasting glucose levels. RESULTS: 59,619 women were included for analysis, and 10.4%, 13.7%, 19.1%, 21.5%, 16.0%, 11.6%, and 7.5% women had glucose levels of < 75, 75-79, 80-84, 85-89, 90-94, 95-100 and > 100 mg/dL. Each 5 mg/dL increase in prepregnancy fasting glucose levels was associated with increased risk of gestational diabetes and macrosomia in subsequent pregnancy. Adjusted risk ratio for gestational diabetes per standard deviation prepregnancy glucose > 100 mg/dL was 2.015 (95% confidence interval, 1.649-2.462) and for macrosomia an adjusted risk ratio 1.389 (95% confidence interval, 1.147-1.682). CONCLUSION: Higher prepregnancy glucose level within normal range was related to gestational diabetes and macrosomia in following pregnancy. Our results may aid in the identification of women at future risk of obstetric complications and may guide to stratify women into normal and intensified care. TWEETABLE ABSTRACT: Higher prepregnancy glucose in normal range is associated with gestational diabetes and macrosomia.

Surgical Results of Ulnar Component Excision and Radial Component Reconstruction in Patients With Preaxial Polydactyly of the Hand.

PURPOSE: Resection of the underdeveloped digit and reconstruction of the robust digit is the standard treatment option for preaxial polydactyly of the hand. As an underdeveloped digit, the radial component is usually excised, whereas the ulnar component excision is rarely needed. This study aimed to evaluate the surgical results of ulnar component excision and radial component reconstruction in patients with preaxial polydactyly of the hand. METHODS: We retrospectively reviewed the medical records and radiographs of 809 patients (861 thumbs) who underwent surgery for preaxial polydactyly of the hand from November 2006 to June 2018. Among these, 22 (2.6%) thumbs in which the ulnar component was more hypoplastic or had more severe deformities than the radial component were treated with ulnar component excision and radial component reconstruction. The mean follow-up duration was 49 months (range, 12-142 months). We evaluated the Japanese Society for Surgery of the Hand scores and whether the patients were satisfied with the thumb function and appearance at the final follow-up. We also recorded any complications, such as reoperation. RESULTS: The mean Japanese Society for Surgery of the Hand score was 12.8 (range, 5-17). Six patients had poor results, 7 had fair results, and 2 had good results; however, none of the patients had an excellent result. Satisfaction with thumb function and appearance was reported in 11 (50%) and 6 (27%) cases, respectively. Thirteen of 22 (59.1%) cases involved reoperations, and the most common reason for reoperation was interphalangeal joint deviation of the remaining thumb. CONCLUSIONS: Ulnar component excision and radial component reconstruction are rare operative choices in preaxial polydactyly of the hand. Surgeons and patients should be aware that a considerable number of patients treated with this method required reoperations and had low clinical outcome scores. TYPE OF STUDY/ LEVEL OF EVIDENCE: Prognostic IV.

Real-time Classification of Fetal Status Based on Deep Learning and Cardiotocography Data.

This study uses convolutional neural networks (CNNs) and cardiotocography data for the real-time classification of fetal status in the mobile application of a pregnant woman and the computer server of a data expert at the same time (The sensor is connected with the smartphone, which is linked with the web server for the woman and the computer server for the expert). Data came from 5249 (or 4833) cardiotocography traces in Anam Hospital for the mobile application (or the computer server). 150 data cases of 5-minute duration were extracted from each trace with 141,001 final cases for the mobile application and for the computer server alike. The dependent variable was fetal status with two categories (Normal, Abnormal) for the mobile application and three categories (Normal, Middle, Abnormal) for the computer server. The fetal heart rate served as a predictor for the mobile application and the computer server, while uterus contraction for the computer server only. The 1-dimension (or 2-dimension) Resnet CNN was trained for the mobile application (or the computer server) during 800 epochs. The sensitivity, specificity and their harmonic mean of the 1-dimension CNN for the mobile application were 94.9%, 91.2% and 93.0%, respectively. The corresponding statistics of the 2-dimension CNN for the computer server were 98.0%, 99.5% and 98.7%. The average inference time per 1000 images was 6.51 micro-seconds. Deep learning provides an efficient model for the real-time classification of fetal status in the mobile application and the computer server at the same time.

Women with multiple gestations have an increased risk of development of hypertension in the future.

BACKGROUND: Multiple gestations are associated with an increased incidence of preeclampsia. However, there exists no evidence for an association between multiple gestations and development of hypertension(HTN) later in life. This study aimed to determine whether multiple gestations are associated with HTN beyond the peripartum period. METHODS: In this retrospective nationwide population-based study, women who delivered a baby between January 1, 2007, and December 31, 2008, and underwent a national health screening examination within one year prior to their pregnancy were included. Subsequently, we tracked the occurrence of HTN during follow-up until December 31, 2015, using International Classification of Diseases-10th Revision codes. RESULTS: Among 362,821 women who gave birth during the study period, 4,944 (1.36%) women had multiple gestations. The cumulative incidence of HTN was higher in multiple gestations group compared with singleton group (5.95% vs. 3.78%, p < 0.01, respectively). On the Cox proportional hazards models, the risk of HTN was increased in women with multiple gestations (HR 1.35, 95% CI 1.19, 1.54) compared with those with singleton after adjustment for age, primiparity, preeclampsia, atrial fibrillation, body mass index, blood pressure, diabetes mellitus, high total cholesterol, abnormal liver function test, regular exercise, and smoking status. CONCLUSIONS: Multiple gestations are associated with an increased risk of HTN later in life. Therefore, guidelines for the management of high-risk patients after delivery should be established.

Prediction of newborn's body mass index using nationwide multicenter ultrasound data: a machine-learning study.

BACKGROUND: This study introduced machine learning approaches to predict newborn's body mass index (BMI) based on ultrasound measures and maternal/delivery information. METHODS: Data came from 3159 obstetric patients and their newborns enrolled in a multi-center retrospective study. Variable importance, the effect of a variable on model performance, was used for identifying major predictors of newborn's BMI among ultrasound measures and maternal/delivery information. The ultrasound measures included biparietal diameter (BPD), abdominal circumference (AC) and estimated fetal weight (EFW) taken three times during the week 21 - week 35 of gestational age and once in the week 36 or later. RESULTS: Based on variable importance from the random forest, major predictors of newborn's BMI were the first AC and EFW in the week 36 or later, gestational age at delivery, the first AC during the week 21 - the week 35, maternal BMI at delivery, maternal weight at delivery and the first BPD in the week 36 or later. For predicting newborn's BMI, linear regression (2.0744) and the random forest (2.1610) were better than artificial neural networks with one, two and three hidden layers (150.7100, 154.7198 and 152.5843, respectively) in the mean squared error. CONCLUSIONS: This is the first machine-learning study with 64 clinical and sonographic markers for the prediction of newborns' BMI. The week 36 or later is the most effective period for taking the ultrasound measures and AC and EFW are the best predictors of newborn's BMI alongside gestational age at delivery and maternal BMI at delivery.

Clinical Predictors Implicated in the Incidence of Acute Pyelonephritis during the Antepartum Period: A Population-Based Cohort Study.

INTRODUCTION: Acute pyelonephritis (APN) is a common infection during pregnancy that increases the risk of unfavorable maternal and fetal outcomes. However, it has not been clearly elucidated which demographic and clinical characteristics are associated with the incidence of APN during pregnancy. OBJECTIVE: This population-based cohort study aimed to determine the risk factors for APN during pregnancy. METHODS: Using the database of the Health Insurance Review and Assessment Service of South Korea, we enrolled Korean women who delivered infants between 2010 and 2014 in Korea and had complete health examination records within 1 year of pregnancy. We performed multivariate logistic regression analysis to evaluate the risk factors for APN during pregnancy. RESULTS: Of 370,248 women, 2,526 (0.7% of the total participants) were treated for APN while in hospitalization during pregnancy. Younger age, history of previous APN within 1 year of pregnancy, and abnormal results of health examination before pregnancy, such as high fasting glucose level (>100 mg/dL) and proteinuria, were associated with an increased risk of APN during pregnancy. CONCLUSION: Certain maternal demographic and clinical characteristics were associated with the incidence of APN during pregnancy, and these should be monitored closely during antenatal care.

Serum sFlt-1, cystatin C and cathepsin B are potential severity markers in preeclampsia: a pilot study.

PURPOSE: Preeclampsia is associated with abnormal invasion of the trophoblast through decidua and subsequently altered remodeling of the maternal spiral arteries and endothelial dysfunction. This phenomenon is explained by the dysregulation of various kinds of vascular factors and proteases. The purpose of this study was to compare the circulating levels of sFlt-1, cathepsin B, and cystatin C in preeclamptic and normotensive pregnancies. STUDY DESIGN: Sixty-two pregnant women were enrolled in this prospective study. Twenty women were preeclamptic and 42 were normotensive. Serum levels of sFlt-1, cathepsin B, and cystatin C were measured using an enzyme-linked immunosorbent assay kit. RESULTS: Circulating levels of sFlt-1, cathepsin B, and cystatin C were significantly higher in preeclamptic than in normotensive pregnant women (p < 0.001; p = 0.017; p = 0.003). Preeclamptic women with severe features demonstrated significantly higher levels of cathepsin B (p = 0.05). Serum sFlt-1 and cystatin C levels were positively correlated with elevated systolic and diastolic blood pressure. The levels of cathepsin B were positively correlated with alanine and aspartate aminotransferase. The amount of 24 h proteinuria was positively, but non-significantly correlated with sFlt-1 and cystatin C. CONCLUSIONS: In addition to sFlt-1 levels, the serum levels of cathepsin B and cystatin C significantly change when preeclampsia develops. These markers are associated with severity markers of elevated blood pressure and liver injury in preeclampsia.

Circulating cathepsin B and D in pregnancy.

The purpose of this prospective study was to investigate the changes in the circulating levels of cathepsin B and D in pregnancy. We obtained longitudinal cathepsin B and D levels in 76 healthy pregnant women in the first and third trimesters and compared these levels with 20 non-pregnant controls. The plasma levels of soluble cathepsin B and D were measured using an enzyme-linked immunosorbent assay kit. The cathepsin D concentrations in the third trimester were significantly higher than that in the first trimester (p < .001), and the cathepsin D levels in the first trimester were significantly lower than that in the non-pregnant controls (p = .002). However, there was no significant difference in the cathepsin B level throughout pregnancy compared to the non-pregnant controls. Our study is unique in evaluating the longitudinal changes in the cathepsin B and D levels in pregnancies without obstetric complications. The results implicate that changes in the levels of cathepsins might be essential in placentation. Therefore, molecular and genetic studies on cathepsin B and D are needed to understand the roles of these enzymes in pregnancy, thereby contributing to the understanding of placentation. Impact statement What is already known? Matrix metalloproteinases (MMP) have been widely studied, and their function is very important in the normal implantation process. The level of MMP-9 is known to increase throughout pregnancy, while the level of MMP-2 decreases in the first trimester. In addition to MMPs, other proteases are important for placental development; cathepsins B and D are two of the proteases that are involved in the normal placentation process. The function of cathepsin D is related to MMPs because this protease can activate MMPs either directly or indirectly. Nevertheless, the role of circulating cathepsins in pregnancy has not yet been fully elucidated. What do these results add? This study provides evidence, for the first time, that there are fluctuations of plasma cathepsin D level and there are no changes in the plasma cathepsin B level in a normal pregnancy. Moreover, we demonstrated that a cathepsin D level is significantly decreased in the first trimester compared to the non-pregnant controls, and that the level is markedly elevated in the third trimester. What are the implications of these findings for clinical practice and/or further research? Cathepsins B and D should be further studied locally in the placenta to explain the differences in the concentration of cathepsin D and no changes in cathepsin B, thereby exploring their exact roles.

Prepregnancy liver enzyme levels and risk of preeclampsia in a subsequent pregnancy: A population-based cohort study.

BACKGROUND & AIMS: Preeclampsia is a serious multisystemic disorder leading to maternal and neonatal adverse outcomes. However, little is known about the early markers of this disease. The aim of this study was to investigate the association between prepregnancy liver function and the development of preeclampsia. METHODS: We enrolled 192 571 Korean women who had their first delivery between January 1, 2008, and December 31, 2014, and had undergone a national health screening examination through the National Health Insurance Corporation during 1-2 years before delivery. RESULTS: Preeclampsia developed in 3973 (2.0%) women. The rate of development of preeclampsia was higher in women with abnormal prepregnancy liver enzyme levels than in those with normal liver enzyme levels before pregnancy. On multivariate analysis, women with abnormal alanine aminotransferase level before pregnancy had a 1.21-fold increased risk of developing preeclampsia than those with normal alanine aminotransferase level before pregnancy, after adjusting for age, family history of hypertension, hepatitis B virus carrier status, smoking, alcohol status, prepregnancy body mass index and blood pressure. Prepregnancy γ-glutamyltransferase and aspartate aminotransferase levels were not associated with the risk of preeclampsia development. CONCLUSION: Abnormal prepregnancy alanine aminotransferase level was associated with the development of preeclampsia in a subsequent pregnancy. Further studies are needed to evaluate whether early intervention for liver function before pregnancy can decrease the risk of preeclampsia.

Elevated serum cathepsin B concentration in pregnant women is associated with preeclampsia.

PURPOSE: To compare the circulating levels of cathepsins B and D in preeclamptic and normotensive pregnancies. METHODS: Seventy-two pregnant patients were enrolled in this study. Of the 72 pregnant patients, 25 were preeclamptic and 47 patients were normotensive. Serum levels of soluble cathepsins B and D were measured with an enzyme-linked immunosorbent assay (ELISA) kit. RESULTS: Cathepsin B levels were significantly higher in preeclamptic women than normotensive pregnant women (125.9 vs. 41.9 ng/mL; p = 0.013). The serum levels of cathepsin D were lower in preeclamptic women, but the differences were not significant (129.3 vs. 200.9 ng/mL; p = 0.077). However, cathepsin B and D levels were not correlated with severity of preeclampsia and small for gestational age. The serum levels of cathepsin D were inversely correlated with uric acid in preeclamptic patients (r = -0.527; p = 0.03). CONCLUSION: The serum levels of cathepsin B levels were increased significantly in preeclamptic women. Correlation with severity of preeclampsia needs further investigation to clarify the role of cathepsin B.

The Proteomic Analysis of Human Placenta with Pre-eclampsia and Normal Pregnancy.

Preeclampsia is one of the most important and complexed disorders for women's health. Searching for novel proteins as biomarkers to reveal pathogenesis, proteomic approaches using 2DE has become a valuable tool to understanding of preeclampsia. To analyze the proteomic profiling of preclamptic placenta compared to that of normal pregnancy for better understanding of pathogenesis in preeclampsia, placentas from each group were handled by use of proteomics approach using 2DE combined with MALDI-TOF-MS. The 20 spots of showing differences were analysed and identified. Among differentially expressed protein spots Hsp 27 and Hsp 70 were selected for validation using Western blot analysis. In preeclamptic placenta 9 differentially expressed proteins were down-regulated with Hsp 70, serum albumin crystal structure chain A, lamin B2, cytokeratin 18, actin cytoplasmic, alpha fibrinogen precursor, septin 2, dihydrolipoamide branched chain transacylase E2 and firbrinogen beta chain. The 11 up-regulated proteins were fibrinogen gamma, cardiac muscle alpha actin proprotein, cytokeratin 8, calumenin, fibrinogen fragment D, F-actin capping protein alpha-1 subunit, Hsp 27, Hsp 40, annexin A4, enoyl-CoA delta isomerase and programmed cell death protein 6. The western blot analysis for validation also showed significant up-regulation of Hsp 27 and down-regulation of Hsp 70 in the placental tissues with preeclmaptic pregnancies. This proteomic profiling of placenta using 2DE in preeclampsia successfully identifies various proteins involved in apoptosis, mitochondrial dysfunction, as well as three Hsps with altered expression, which might play a important role for the understanding of pathogenesis in preeclampsia.

Comparison of severe pelvic inflammatory disease, pyosalpinx and tubo-ovarian abscess.

AIM: Inflammation of the upper genital tract causes pelvic inflammatory disease (PID), which may be complicated by pelvic abscesses, such as pyosalpinx and tubo-ovarian abscess (TOA). This study aimed to determine the clinical differences between pyosalpinx and TOA in patients with PID. MATERIAL AND METHODS: We retrospectively evaluated 458 female patients who were admitted to Hallym University Kang Dong Sacred Heart Hospital for a clinical diagnosis of PID from 1 January 2007 to 30 April 2012. Sociodemographic, clinical and laboratory data were compared among the non-abscess, pyosalpinx, and TOA groups. RESULTS: We identified 110 patients (24%) diagnosed with pelvic abscess associated with PID, including 34 with pyosalpinx and 76 with TOA. The pyosalpinx group had shorter hospital stays (P = 0.007), lower C-reactive protein levels (P = 0.015), smaller mass sizes (P < 0.001), and fewer surgical interventions (P < 0.001) than the TOA group. CONCLUSIONS: Pyosalpinx is a less severe form of PID that leads to shorter hospital stays and more favorable outcomes than TOA.

Enhancing Cervical Cancer Screening: Review of p16/Ki-67 Dual Staining as a Promising Triage Strategy.

Cervical cancer, primarily caused by high-risk human papillomavirus (HR-HPV) types 16 and 18, is a major global health concern. Persistent HR-HPV infection can progress from reversible precancerous lesions to invasive cervical cancer, which is driven by the oncogenic activity of human papillomavirus (HPV) genes, particularly E6 and E7. Traditional screening methods, including cytology and HPV testing, have limited sensitivity and specificity. This review explores the application of p16/Ki-67 dual-staining cytology for cervical cancer screening. This advanced immunocytochemical method allows for simultaneously detecting p16 and Ki-67 proteins within cervical epithelial cells, offering a more specific approach for triaging HPV-positive women. Dual staining and traditional methods are compared, demonstrating their high sensitivity and negative predictive value but low specificity. The increased sensitivity of dual staining results in higher detection rates of CIN2+ lesions, which is crucial for preventing cervical cancer progression. However, its low specificity may lead to increased false-positive results and unnecessary biopsies. The implications of integrating dual staining into contemporary screening strategies, particularly considering the evolving landscape of HPV vaccination and changes in HPV genotype prevalence, are also discussed. New guidelines and further research are necessary to elucidate the long-term effects of integrating dual staining into screening protocols.

Short-term neonatal and long-term neurodevelopmental outcome of children born term low birth weight.

This study aimed to examine the impact of term LBW on short-term neonatal and long-term neurodevelopmental outcomes in children 5-7 years of age. This is a population-based cohort study that merged national data from the Korea National Health Insurance claims and National Health Screening Program for Infants and Children. The participants were women who gave birth at a gestational age of ≥ 37 weeks between 2013 and 2015 in the Republic of Korea, and were tracked during 2020 for the neurodevelopmental surveillance of their children. Among 830,806 women who gave birth during the study period, 31,700 (3.8%) of their babies weighed less than 2500 g. By Cox proportional hazard analysis, children aged 5-7 years who had LBW were associated with any developmental, motor developmental delay, cognitive developmental delay, autism spectrum, attention deficit hyperactivity disorders, and epileptic and febrile seizures.Children born with term LBW were more vulnerable to neurodevelopmental disorders at 5-7 years of age than those with normal and large birth weights. This study further substantiates counseling parents regarding the long-term outcomes of children being born underweight.