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Flash flooding is a damaging weather event, yet it remains challenging to quantify its severity. We propose a development—the Flashiness‐Intensity‐Duration‐Frequency (F‐IDF) curve—to quantify flash flood intensity based on the frequency and duration of the event. As a proof‐of‐concept, we mapped Contiguous US (CONUS)‐wide F‐IDF values at 3,722 stream gage locations and explored their relations with basin attributes. It is found that (a) The return periods of flash flood events are highly associated with the return peroids of rainfall events; (b) Climatological precipitation amounts exhibit the most positive correlation with flashiness while a basin's drainage area is the most negatively correlated; (c) Correlation of flashiness with basin attributes decreases with increasing F‐IDF return periods and shorter event durations. Both aspects are attributable to the rainfall signal overwhelming the underlying basin attributes as the intensities become more extreme. This new metric has implications for hydrology and emergency responders. Plain Language Summary: Flash floods are among the most devasting natural hazard types that can cause severe property damage and loss of life. However, it's challenging to measure and quantify the severity. This study proposes a new way of quantifying flash flood intensity using a newly developed Flashiness‐Intensity‐Duration‐Frequency (F‐IDF) curve. It links flash flood severity with how often they happen and how long they last. We mapped F‐IDF values across the United States and found that certain areas are more prone to flash floods than others. The amount of rain and the size of the basin area are the most important factors in determining how severe a flash flood is. This new quantification tool can help experts better identify and respond to flash flood risks. Key Points: We introduce the Flashiness‐Intensity‐Duration‐Frequency curve to quantify flash flood intensityThe CONUS‐wide Flashiness‐Intensity‐Duration‐Frequency values are provided at 3,722 stream gage locationsThe relations between 59 basin attributes and flashiness values are explored [ABSTRACT FROM AUTHOR]

Objectives: The aim of this bibliometric analysis was twofold: to identify the 100 most cited research articles on thymoma and to highlight future research opportunities in light of past and current research efforts. Methods: The Web of Science database was queried to identify the 100 most cited articles on thymoma. Imformations relevant to scientific research were extracted and analyzed: first author, journal, impact factor, type of article, year of publication, country, organization and keywords. Results: The publication year of the top 100 most cited articles ranged from 1981 to 2018, and the number of citations ranged from 97 to 1182. Most of the included articles are original (75/100) and are mainly retrospective studies (52/75). The United States has the most published articles and citations, and the Annals of Thoracic Surgery is the most sourced journal (n = 16). Through VOSviewer analysis, high-density keywords mainly come from thymic carcinoma/invasive thymoma management, immune-related diseases, and laboratory research. Conclusions: To our knowledge, this is the first bibliometric study on thymoma. We found most of the top 100 most cited articles are original and retrospective research. The United States has the published and cited works. Presently, the hot keywords for thymoma research has gradually tilted towards immune-related diseases and laboratory research. [ABSTRACT FROM AUTHOR]

Introduction: The number and characteristics of pregnant patients presenting to the emergency department (ED) has not been well described. Our objective in this study was to determine the prevalence and characteristics of pregnant patients presenting to EDs in the US between 2010-2020., Methods: We completed a retrospective, cross-sectional study of patient encounters at hospital-based EDs in the US from 2010-2020. Using the ED subsample of the National Hospital Ambulatory Medical Care Survey (NHAMCS) we identified ED visits for female patients aged 15-44 years. We defined a subsample of these as visits for pregnant patients using discharge diagnosis codes specific to pregnancy. We compared this population of pregnant patient visits to those for non-pregnant patients and computed point estimates for nationally weighted values. Multivariable linear regression was used to determine factors independently associated with pregnant patient visits., Results: The 2010-2020 NHAMCS dataset included 255,963 ED visits. Of these visits 59,080 were for female patients 15-44 years old, and 6,068 of those visits were for pregnant patients. Pregnant patients accounted for 3% (95% confidence interval [CI] 2.7-3.2) of all ED visits and 8.6% (95% CI 8-9.3) of all visits among female patients 15-44 years. Weighting to a national sample, this equates to 2.77 million pregnant patients presenting for ED visits annually. Pregnant patients were more likely to be Black, Hispanic, or to use public insurance., Conclusion: Pregnant patients make up a significant number of ED visits annually and are more likely to be people of color or publicly insured. Interventions to address the effects of changing abortion legislation on emergency medicine practice may benefit from consideration that certain populations of pregnant people are more likely to present to the ED for care., Competing Interests: Conflicts of Interest: By the WestJEM article submission agreement, all authors are required to disclose all affiliations, funding sources and financial or management relationships that could be perceived as potential sources of bias. No author has professional or financial relationships with any companies that are relevant to this study. There are no conflicts of interest or sources of funding to declare.