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Background: The incidence of premature myocardial infarction (PMI) in women (<65 years and men <55 years) is increasing. We investigated proportionate mortality trends in PMI stratified by sex, race, and ethnicity., Methods and Results: CDC WONDER (Centers for Disease Control and Prevention Wide-Ranging Online Data for Epidemiologic Research) was queried to identify PMI deaths within the United States between 1999 and 2020, and trends in proportionate mortality of PMI were calculated using the Joinpoint regression analysis. We identified 3 017 826 acute myocardial infarction deaths, with 373 317 PMI deaths corresponding to proportionate mortality of 12.5% (men 12%, women 14%). On trend analysis, proportionate mortality of PMI increased from 10.5% in 1999 to 13.2% in 2020 (average annual percent change of 1.0 [0.8-1.2, P <0.01]) with a significant increase in women from 10% in 1999 to 17% in 2020 (average annual percent change of 2.4 [1.8-3.0, P <0.01]) and no significant change in men, 11% in 1999 to 10% in 2020 (average annual percent change of -0.2 [-0.7 to 0.3, P =0.4]). There was a significant increase in proportionate mortality in both Black and White populations, with no difference among American Indian/Alaska Native, Asian/Pacific Islander, or Hispanic people. American Indian/Alaska Natives had the highest PMI mortality with no significant change over time., Conclusions: Over the last 2 decades, there has been a significant increase in the proportionate mortality of PMI in women and the Black population, with persistently high PMI in American Indian/Alaska Natives, despite an overall downtrend in acute myocardial infarction-related mortality. Further research to determine the underlying cause of these differences in PMI mortality is required to improve the outcomes after acute myocardial infarction in these populations.

Cardiovascular disease is the leading cause of mortality in American Indian and Alaska Native (AI/AN) groups. They are disproportionately found to have a higher rate of premature myocardial infarction (MI). The Centers for Disease Control and Prevention's Wide-ranging Online Data for Epidemiologic Research were queried to identify premature MI deaths (female <65 years and male <55 years) occurring within the United States between 1999 and 2020. We investigated proportionate mortality trends related to premature MI in AI/ANs stratified by gender. Deaths attributed to acute MI (AMI) were identified using the International Classification of Diseases, Tenth Revision, Clinical Modification codes I21 to I22. We compared the proportional mortality rate because of premature MI with that of a non-AI/AN racial group, which comprised all other races (Blacks, Whites, and Asian/Pacific Islander populations). In AI/ANs, we analyzed a total of 14,055 AMI deaths, of which 3,211 were premature MI deaths corresponding to a proportionate mortality rate of 22.8% (male 20.8%, female 26.2%). The non-AI/AN population had a lower proportionate mortality of 14.8% (male 13.7%, female 16%), p <0.01). On trend analysis, there was no significant improvement over time in the proportionate mortality of AI/ANs (19.8% in 1999 to 21.7% in 2020, p = 0.09). Upon comparison of gender, proportionate mortality of premature MI in women showed a statistically nonsignificant increase from 21.6% in 1999 to 27.3% in 2020 [average annual percent change of 0.7, p = 0.06)]. However, men had a statistically significant decrease in proportionate mortality of premature MI from 18.5% in 1999 to 18.2% in 2020 [average annual percent change of -0.8, p = 0.01)]. AI/ANs have an alarmingly higher rate of proportionate mortality of premature MI than that of other races, with no improvement in the proportionate mortality rates over 20 years, despite an overall downtrend in AMI mortality. Further research to address the reasons for the lack of improvement in premature MI is needed to improve outcomes in this patient population., Competing Interests: Declaration of competing interest The authors have no competing interests to declare., (Copyright © 2023 Elsevier Inc. All rights reserved.)

Zoonotic infections, which are transmitted from animals to humans, have been a substantial source of human disease since antiquity. As the human population continues to grow and human influence on the planet expands, humans frequently encounter both domestic and wild animals. This has only increased as deforestation, urbanization, agriculture, habitat fragmentation, outdoor recreation, and international travel evolve in modern society, all of which have resulted in the emergence and reemergence of zoonotic infections. Zoonotic infections pose a diagnostic challenge because of their nonspecific clinical manifestations and the need for specialized testing procedures to confirm these diagnoses. Affected patients often undergo imaging during their evaluation, and a radiologist familiar with the specific and often subtle imaging patterns of these infections can add important clinical value. The authors review the multimodality thoracic, abdominal, and musculoskeletal imaging findings of zoonotic bacterial (eg, Bartonella henselae, Pasteurella multocida, Francisella tularensis, Coxiella burnetii , and Brucella species), spirochetal (eg, Leptospira species), and parasitic (eg, Echinococcus, Paragonimus, Toxocara , and Dirofilaria species) infections that are among the more commonly encountered zoonoses in the United States. Relevant clinical, epidemiologic, and pathophysiologic clues such as exposure history, occupational risk factors, and organism life cycles are also reviewed. Although many of the imaging findings of zoonotic infections overlap with those of nonzoonotic infections, granulomatous diseases, and malignancies, radiologists' familiarity with the imaging patterns can aid in the differential diagnosis in a patient with a suspected or unsuspected zoonotic infection. © RSNA, 2023 Quiz questions for this article are available through the Online Learning Center.

Purpose: To assess the readability of online patient education materials (OPEM) related to common diseases treated by and procedures performed by interventional radiology (IR)., Materials and Methods: The following websites were chosen based on their average Google search return for each IR OPEM content area examined in this study: Society of Interventional Radiology (SIR), Cardiovascular and Interventional Radiological Society of Europe (CIRSE), National Library of Medicine, RadiologyInfo, Mayo Clinic, WebMD, and Wikipedia. IR OPEM content area was assessed for the following: peripheral arterial disease, central venous catheter, varicocele, uterine artery embolization, vertebroplasty, transjugular intrahepatic portosystemic shunt, and deep vein thrombosis. The following algorithms were used to estimate and compare readability levels: Flesch-Kincaid Grade Formula, Flesch Reading Ease Score, Gunning Frequency of Gobbledygook, Simple Measure of Gobbledygook, and Coleman-Liau Index. Data were analyzed using general mixed modeling., Results: On average, online sources that required beyond high school grade-level readability were Wikipedia (15.0), SIR (14.2), and RadiologyInfo (12.4); sources that required high school grade-level readability were CIRSE (11.3), Mayo Clinic (11.0), WebMD (10.6), and National Library of Medicine (9.0). On average, OPEM on uterine artery embolization, vertebroplasty, varicocele, and peripheral arterial disease required the highest level of readability (12.5, 12.3, 12.3, and 12.2, respectively)., Conclusions: The IR OPEM assessed in this study were written above the recommended sixth-grade reading level and the health literacy level of the average American adult. Many patients in the general public may not have the ability to read and understand health information in IR OPEM., (Copyright © 2015 SIR. Published by Elsevier Inc. All rights reserved.)

Following the events of the September 11th attack, there has been an increasing concern about the possibility of a future attack on our homeland. In response, the United States Department of Homeland Defense has planned for a future attack by formulating multiple scenarios which may occur in the event of such a disaster. Radiology will play a key role in each of these scenarios, assisting with triage, diagnosis, and therapy of the large populations which potentially could be involved. This article describes some of these scenarios as well the response which will be expected of the radiology community in the event of such a disaster.