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Background: In Japan, a multicenter sentinel monitoring system was implemented as a patient registry for osteonecrosis of the femoral head (ONFH). Although recent monitoring data suggest that the age at diagnosis of ONFH is increasing, it is unclear whether this trend is due to Japan's aging population. We aimed to evaluate the temporal trends in ONFH incidence by age group using other epidemiological data.
Methods: From the monitoring system up to 2023, patients who had diagnoses between 2002 and 2021 were categorized into four 5-year periods (2002 to 2006, 2007 to 2011, 2012 to 2016, and 2017 to 2021). To determine the incidence by sex and 10-years age groups, the sex- and age-specific proportions of newly diagnosed (incident) ONFH cases were calculated from the monitoring system. Assuming this distribution applies to all ONFH patients in Japan, the numerator of the sex- and age-specific annual incidence rates of ONFH was calculated by multiplying each proportion by the number of incident ONFH patients in the country, as estimated from previous nationwide epidemiological surveys. Japan's sex- and age-specific total population was used as the denominator.
Results: The incidence rate (per 100,000 population) for men aged under 29 years decreased over the four periods (1.08, 1.06, 1.02, and 0.90, respectively), as did the rate for those aged 30 to 39 years (4.40, 3.70, 3.73, and 3.30, respectively). Conversely, an increase was observed in men aged 60 to 69 years (1.69, 1.97, 2.07, and 2.78, respectively). For women, the incidence rate decreased in those under 29 years (1.12, 0.86, 0.78, 0.82), but increased in those aged 50 to 59 years (1.58, 1.23, 2.20, 2.06) and 60 to 69 years (1.28, 1.50, 1.85, 2.03).
Conclusions: The age at diagnosis of ONFH is increasing among both men and women, even when considering Japan's aging population. The basic characteristics of ONFH may be changing.
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http://dx.doi.org/10.1016/j.arth.2025.05.090 | DOI Listing |
Driven by eutrophication and global warming, the occurrence and frequency of harmful cyanobacteria blooms (CyanoHABs) are increasing worldwide, posing a serious threat to human health and biodiversity. Early warning enables precautional control measures of CyanoHABs within water bodies and in water works, and it becomes operational with high frequency in situ data (HFISD) of water quality and forecasting models by machine learning (ML). However, the acceptance of early warning systems by end-users relies significantly on the interpretability and generalizability of underlying models, and their operability.
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Department of Biology, University of Copenhagen, Copenhagen, Denmark.
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School of Chemistry and Chemical Engineering, Shandong University of Technology, Zibo 255049, PR China.
Pax-5a gene, as a nucleic acid biomarker closely associated with B-cell acute lymphoblastic leukemia (B-ALL), holds significant potential for early disease diagnosis. In this study, we developed a highly accurate and efficient "on-super on-off" photoelectrochemical (PEC) biosensor based on a dual-photoelectrode heterojunction system integrated with a multisphere cascade DNA amplification strategy. The designed heterojunction dual-photoelectrode platform, comprising a InO/CdS photoanode (on state) and an in situ-formed MIL-68(In)/InO (MIO) photocathode, effectively extends the electron-hole transport pathway, enhances photogenerated charge separation, and produces high-amplitude signal output (super on state), thereby providing a robust baseline for signal transduction.
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Texas Center for Pediatric and Congenital Heart Disease, The University of Texas at Austin Dell Medical School, Austin, TX, USA.
Pericardial effusion (PCE) represents a significant postoperative complication following congenital heart surgery (CHS), contributing to more complex postoperative care and heightened morbidity. In this study, we aim to elucidate the risk factors contributing to PCE development post-CHS through analysis of data from a nationwide, multi-institutional database. Review of the Pediatric Health Information System Database from January 1, 2004, to December 30, 2023.
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September 2025
Sleep is essential for maintaining human health and quality of life. Analyzing physiological signals during sleep is critical in assessing sleep quality and diagnosing sleep disorders. However, manual diagnoses by clinicians are time-intensive and subjective.
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