Standard semen parameters are often used to predict male fertility, but whether the 2010 World Health Organization (WHO 2010) thresholds are better predictors than the 1999 thresholds has not been investigated. In this study, we addressed this issue using sperm DNA fragmentation (SDF) as a marker of male fertility in 134 subfertile male individuals. To compare the predictive value of the 1999 thresholds with the 2010 cutoffs, the Youden indices (YIs) of all possible thresholds were calculated using receiver operating characteristic (ROC) curves and compared to each other and to the respective YIs of optimal thresholds. We found that the area under the ROC curves of progressive motility and vitality was the highest among standard semen parameters, and that the YI of both parameters from the 2010 manual was comparable to the respective optimal YIs. In contrast, the threshold of sperm concentration and total sperm number from both WHO recommendations demonstrated low YIs, with substantial differences to the respective optimal YIs. The YIs of normal morphology cutoffs from both WHO manuals were slightly different from each other and from the respective optimal YIs. In conclusion, the 2010 thresholds for progressive motility and vitality are superior to the 1999 thresholds in predicting SDF, whereas the cutoff value of sperm concentration, total sperm number and normal morphology may need further revisions to increase their accuracy.
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http://dx.doi.org/10.1016/j.repbio.2020.04.008 | DOI Listing |
Acta Radiol
January 2025
Department of Medical Imaging, Dalin Tzu-Chi Hospital, Chiayi, Taiwan.
Background: The wide variability in thresholds on computed tomography (CT) perfusion parametric maps has led to controversy in the stroke imaging community about the most accurate measurement of core infarction.
Purpose: To investigate the feasibility of using U-Net to perform infarct core segmentation in CT perfusion imaging.
Material And Methods: CT perfusion parametric maps were the input of U-Net, while the ground truth segmentation was determined based on diffusion-weighted imaging (DWI).
Front Public Health
January 2025
Department of General Surgery, The First Affiliated Hospital, Jiamusi University, Jiamusi, China.
Background: Metabolic-associated steatohepatitis and liver fibrosis (MASLD) is a growing public health concern, with environmental factors potentially playing a role in its development. This study aimed to investigate the associations between serum cadmium and mercury levels and the risk of MASLD in a nationally representative sample from the United States.
Methods: Data from the National Health and Nutrition Examination Survey from 1999 to 2018 were analyzed.
BMC Health Serv Res
January 2025
SAMRC/Wits Centre for Health Economics and Decision Science - PRICELESS SA, School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, 2193, South Africa.
Background: More than 800 million people are affected by chronic kidney disease (CKD) worldwide. In South Africa, the prevalence of CKD increased by 67% between 1999 and 2006. Haemodialysis (HD), peritoneal dialysis (PD), and kidney transplant are the three main modalities used for managing end stage kidney disease.
View Article and Find Full Text PDFSci Rep
January 2025
Department of Pathology, College of Basic Medicine, Chongqing Medical University, Chongqing, China.
This study investigates the association between the Metabolic Score for Visceral Fat (METS-VF) and chronic kidney disease (CKD), assessing METS-VF as a potential predictor of CKD risk. Utilizing data from the 1999-2018 National Health and Nutrition Examination Survey (NHANES), this cross-sectional study included 24,387 adult participants. Multivariable logistic regression, restricted cubic spline models, and threshold effect analyses were employed to explore the relationship.
View Article and Find Full Text PDFJACC Adv
December 2024
Division of Cardiovascular Disease, University of Alabama at Birmingham, Birmingham, Alabama, USA.
Background: The Predicting Risk of CVD Events (PREVENT) equations were developed to address limitations of the Pooled Cohort Equations (PCEs) in predicting atherosclerotic cardiovascular disease (ASCVD) risk. The comparative effectiveness of the PREVENT equations versus the PCEs in predicting mortality risk remains unknown.
Objectives: The purpose of this study was to compare the risk discrimination value of the PREVENT equations with the PCEs for predicting mortality.
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