Literature DB >> 23268516

Prevalence of and risk factors for autopsy-determined atherosclerosis among US service members, 2001-2011.

Bryant J Webber1, Peter G Seguin, Daniel G Burnett, Leslie L Clark, Jean L Otto.   

Abstract

CONTEXT: Autopsies of US service members killed in the Korean and Vietnam wars demonstrated that atherosclerotic changes in the coronary arteries can appear early in the second and third decades of life, long before ischemic heart disease becomes clinically apparent.
OBJECTIVE: To estimate the current prevalence of coronary and aortic atherosclerosis in the US armed forces. DESIGN, SETTING, AND PARTICIPANTS: Cross-sectional study of all US service members who died of combat or unintentional injuries in support of Operations Enduring Freedom and Iraqi Freedom/New Dawn between October 2001 and August 2011 and whose cardiovascular autopsy reports were available at the time of data collection in January 2012. Prevalence of atherosclerosis was analyzed by various demographic characteristics and medical history. Classifications of coronary atherosclerosis severity were determined prior to data analysis and designed to provide consistency with previous military studies: minimal (fatty streaking only), moderate (10%-49% luminal narrowing of ≥1 vessel), and severe (≥50% narrowing of ≥1 vessel). MAIN OUTCOME MEASURES: Prevalence of coronary and aortic atherosclerosis in the US armed forces and by age, sex, self-reported race/ethnicity, education, occupation, service branch and component, military rank, body mass index at military entrance, and International Classification of Diseases, Ninth Revision, Clinical Modification, diagnoses of cardiovascular risk factors.
RESULTS: Of the 3832 service members included in the analysis, the mean age was 25.9 years (range, 18-59 years) and 98.3% were male. The prevalence of any coronary atherosclerosis was 8.5% (95% CI, 7.6%-9.4%); severe coronary atherosclerosis was present in 2.3% (95% CI, 1.8%-2.7%), moderate in 4.7% (95% CI, 4.0%-5.3%), and minimal in 1.5% (95% CI, 1.1%-1.9%). Service members with atherosclerosis were significantly older (mean [SD] age, 30.5 [8.1] years) than those without (mean [SD] age, 25.3 [5.6] years; P < .001). Comparing atherosclerosis prevalence among with those with no cardiovascular risk factor diagnoses (11.1% [95% CI, 10.1%-12.1%]), there was a greater prevalence among those with a diagnosis of dyslipidemia (50.0% [95% CI, 30.3%-69.7%]; age-adjusted prevalence ratio [PR], 2.09 [95% CI, 1.43-3.06]), hypertension (43.6% [95% CI, 27.3%-59.9%]; age-adjusted PR, 1.88 [95% CI, 1.34-2.65]), or obesity (22.3% [95% CI, 15.9%-28.7%]; age-adjusted PR, 1.47 [95% CI, 1.10-1.96]), but smoking (14.1% [95% CI, 8.0%-20.2%]) was not significantly associated with a higher prevalence of atherosclerosis (age-adjusted PR, 1.12 [95% CI, 0.73-1.74]).
CONCLUSION: Among deployed US service members who died of combat or unintentional injuries and received autopsies, the prevalence of atherosclerosis varied by age and cardiovascular risk factors.

Entities:  

Mesh:

Year:  2012        PMID: 23268516     DOI: 10.1001/jama.2012.70830

Source DB:  PubMed          Journal:  JAMA        ISSN: 0098-7484            Impact factor:   56.272


  35 in total

1.  Beyond Framingham and coronary calcium: predicted lifetime risk identifies unfavorable risk trajectories.

Authors:  Andre R M Paixao; Jarett D Berry
Journal:  J Nucl Cardiol       Date:  2013-12-20       Impact factor: 5.952

Review 2.  Red yeast rice for dysipidemia.

Authors:  Shariq Shamim; Firas J Al Badarin; James J DiNicolantonio; Carl J Lavie; James H O'Keefe
Journal:  Mo Med       Date:  2013 Jul-Aug

3.  Abdominal Fat Accumulation, as Measured by Computed Tomography, Increases the Risk of Ischemic Colitis: A Retrospective Case-Control Study.

Authors:  Tomonori Aoki; Naoyoshi Nagata; Kayo Sakamoto; Tomohiro Arai; Ryota Niikura; Takuro Shimbo; Masafumi Shinozaki; Katsunori Sekine; Hidetaka Okubo; Kazuhiro Watanabe; Toshiyuki Sakurai; Chizu Yokoi; Junichi Akiyama; Mikio Yanase; Masashi Mizokami; Mitsuhiko Noda; Naomi Uemura
Journal:  Dig Dis Sci       Date:  2015-02-04       Impact factor: 3.199

Review 4.  Molecular sources of residual cardiovascular risk, clinical signals, and innovative solutions: relationship with subclinical disease, undertreatment, and poor adherence: implications of new evidence upon optimizing cardiovascular patient outcomes.

Authors:  Richard Kones
Journal:  Vasc Health Risk Manag       Date:  2013-10-21

5.  Prevalence of coronary atherosclerosis in an Asian population: findings from coronary computed tomographic angiography.

Authors:  Gyung-Min Park; Sung-Cheol Yun; Young-Rak Cho; Eun Ha Gil; Sung Ho Her; Seon Ha Kim; Min-Woo Jo; Moo Song Lee; Seung-Whan Lee; Young-Hak Kim; Dong Hyun Yang; Joon-Won Kang; Tae-Hwan Lim; Beom-Jun Kim; Jung-Min Koh; Hong-Kyu Kim; Jaewon Choe; Seong-Wook Park; Seung-Jung Park
Journal:  Int J Cardiovasc Imaging       Date:  2015-01-08       Impact factor: 2.357

6.  Coronary artery disease detected by coronary computed tomography angiography in adult survivors of childhood Hodgkin lymphoma.

Authors:  Daniel A Mulrooney; Sara E Nunnery; Gregory T Armstrong; Kirsten K Ness; Deokumar Srivastava; F Daniel Donovan; Beth A Kurt; Monika L Metzger; Matthew J Krasin; Vijaya Joshi; Jean-Bernard Durand; Leslie L Robison; Melissa M Hudson; Scott D Flamm
Journal:  Cancer       Date:  2014-07-16       Impact factor: 6.860

7.  Pulse wave reflection in children: amplification through the lifecourse.

Authors:  Justin P Zachariah
Journal:  J Hypertens       Date:  2017-07       Impact factor: 4.844

Review 8.  Epidemiology of coronary heart disease and acute coronary syndrome.

Authors:  Fabian Sanchis-Gomar; Carme Perez-Quilis; Roman Leischik; Alejandro Lucia
Journal:  Ann Transl Med       Date:  2016-07

9.  Incidence, Trends, and Outcomes of Type 2 Myocardial Infarction in a Community Cohort.

Authors:  Claire E Raphael; Véronique L Roger; Yader Sandoval; Mandeep Singh; Malcolm Bell; Amir Lerman; Charanjit S Rihal; Bernard J Gersh; Bradley Lewis; Ryan J Lennon; Allan S Jaffe; Rajiv Gulati
Journal:  Circulation       Date:  2020-01-06       Impact factor: 29.690

10.  Lipoprotein(a) Elevation: A New Diagnostic Code with Relevance to Service Members and Veterans.

Authors:  Renata J M Engler; Emily Brede; Todd Villines; Marina N Vernalis
Journal:  Fed Pract       Date:  2019-11
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.