Amniotic fluid glucose concentration as a predictor of fetal trisomy.

AIM: We aimed to assess the amniotic fluid glucose concentration cut-off as an indicator of fetal chromosomal abnormalities, such as trisomy 13, 18, and 21. METHODS: This prospective observational study included pregnant females who underwent amniocentesis. Participants were divided into two groups on the border of 22 weeks of gestational age (<22 and ≥22-week groups). RESULTS: In total, 224 pregnant females were included in the analysis. In the <22 week group, 15 females had trisomies 13/18/21 and 174 females had no trisomies. In the ≥22 week group, 18 females had trisomies 13/18/21 and 17 had no trisomies. In each group, there was a difference in amniotic fluid glucose concentration between fetuses with trisomies 13, 18, and 21 and other fetuses with normal karyotype or minor chromosomal abnormalities. In both groups, the amniotic glucose concentration was noticeably lower in trisomies 13/18/21 (p = 0.002 in the <22 week group; p = 0.039 in the ≥22 week group). According to receiver operating characteristic curves, the optimal cut-off point of glucose concentration was 46 mg/dL in the <22 week group (odds ratio 6.55; 95% confidence interval 1.78-24.1) and 24 mg/dL in the ≥22 week group (odds ratio 8.40; 95% confidence interval 1.83-38.6). CONCLUSIONS: Our study suggested that glucose concentration in amniotic fluid is an indicator of trisomy 13, 18, and 21. Amniotic fluid glucose concentration itself does not diagnose fetal trisomy, but this may be helpful in selecting treatment facilities.

Using 3D-printed fracture networks to obtain porosity, permeability, and tracer response datasets.

An in-depth understanding of flow through fractured media is vital to optimise engineering applications, including geothermal energy production, enhanced oil recovery, CO2 storage, and nuclear waste disposal. Advances in 3D-printing technologies have made it possible to generate 3D printed fracture networks with different fracture characteristics. By performing fluid flow experiments in the 3D-printed fractured networks, the impact of the fracture parameters, such as the density, orientation, aperture, dip, and azimuth, on the overall flow can be investigated. This data article contains a detailed description of the framework followed to design fractured networks with different fracture parameters and to create 3D-printed samples, including fracture networks. Furthermore, it contains the experimental protocols used to measure the porosity, permeability, and tracer responses of the 3D-printed samples. The generated datasets provided include geometry data describing the fracture networks, as well as porosity, permeability and tracer response data obtained from flow experiments conducted in the fracture networks.

Reduction in HPV 16/18 prevalence among young women following HPV vaccine introduction in a highly vaccinated district, Japan, 2008-2017.

Objective: Human papillomavirus (HPV) vaccination was introduced in Japan in April 2013, as a national immunization program for girls aged 12-16 years, after an initial introduction in 2010 as a public-aid program for girls aged 13-16 years. The Yuri-Honjo district had the highest vaccine coverage among women aged 17-51 years in 2017, due to the original public-aid program. The aim of this study was to evaluate the differences in the vaccine types of HPV16/18 infections between 2008-2012 (pre-vaccine era) and 2013-2017 (vaccine era). Materials and Methods: We evaluated whether HPV vaccination was associated with a decrease in the prevalence of HPV16/18 and high-risk HPV and the incidence of HPV-associated cervical lesions. A total of 1,342 women aged 18-49 years, covering both the pre-vaccine and vaccine eras, who visited Yuri Kumiai General Hospital and underwent HPV genotype tests from June 2008 to December 2017 were compared. Results: Among women aged 18-24 years with higher vaccine coverage (68.2%), the prevalence of HPV16/18 and high-risk HPV decreased from 36.7% and 69.4%, respectively, in the pre-vaccine era to 5.8% and 50.0%, respectively, in the vaccine era (p=0.00013 and p=0.047, respectively). Among those with cervical intraepithelial neoplasia grade 2- and grade 2+, HPV16/18 prevalence decreased from 30.0% to 2.7% (p=0.0018) and from 81.8% to 36.4% (p=0.030), respectively. In this age group, the rate of HPV16/18 positivity decreased significantly. Among age groups with lower vaccine coverage, HPV prevalence did not significantly differ between the two eras. Conclusion: The prevalence of HPV16/18 and high-risk HPV significantly decreased in women aged 18-24 years, most of whom were vaccinated. HPV vaccination effectively reduced the prevalence of HPV16/18 infections in the Yuri-Honjo district.