Literature DB >> 17996526

Prevalence of an increased ascending and descending thoracic aorta diameter diagnosed by multislice cardiac computed tomography in men versus women and in persons aged 23 to 50 years, 51 to 65 years, 66 to 80 years, and 81 to 88 years.

Sarah Kaplan1, Wilbert S Aronow, Hoang Lai, Albert J DeLuca, Melvin B Weiss, Hajir Dilmanian, David Spielvogel, Steven L Lansman, Robert N Belkin.   

Abstract

The prevalence of increased ascending thoracic aortic diameter (AAD) and increased descending thoracic aortic diameter (DAD) diagnosed using multislice cardiac computed tomography was investigated in 624 consecutive patients at an academic cardiology practice in 2006. Increased AAD (>3.7 cm) was present in 71 of 361 men (20%) and in 23 of 263 women (9%) (p <0.001). Increased DAD (>3.0 cm) was present in 26 of 339 men (8%) and in 8 of 258 women (3%) (p <0.02). Increased AAD was present in (1) 7 of 96 patients (7%) aged 23 to 50 years, (2) 22 of 234 patients (9%) aged 51 to 65 years, (3) 53 of 263 patients (20%) aged 66 to 80 years, and (4) 12 of 31 patients (39%) aged 81 to 88 years (p <0.005 comparing groups 3 and 1; p <0.001 comparing groups 4 and 1, groups 4 and 2, and groups 3 and 2; p <0.02 comparing groups 4 and 3). Increased DAD was present in (1) 0 of 96 patients (0%) aged 23 to 50 years, (2) 5 of 227 patients (2%) aged 51 to 65 years, (3) 21 of 244 patients (9%) aged 66 to 80 years, and (4) 8 of 30 patients (27%) aged 81 to 88 years (p <0.005 comparing groups 3 and 1, groups 3 and 2, and groups 4 and 3; p <0.001 comparing groups 4 and 1 and groups 4 and 2). In conclusion, men have a higher prevalence of increased AAD and DAD than women, and increasing age increases the prevalence of increased AAD and DAD.

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Year:  2007        PMID: 17996526     DOI: 10.1016/j.amjcard.2007.06.059

Source DB:  PubMed          Journal:  Am J Cardiol        ISSN: 0002-9149            Impact factor:   2.778


  2 in total

1.  Under-reporting of cardiovascular findings on chest CT.

Authors:  Nicola Sverzellati; Teresa Arcadi; Luca Salvolini; Roberto Dore; Maurizio Zompatori; Manuela Mereu; Giuseppe Battista; Ilenia Martella; Francesco Toni; Luciano Cardinale; Erica Maffei; Fabio Maggi; Filippo Cademartiri; Tommaso Pirronti
Journal:  Radiol Med       Date:  2015-10-30       Impact factor: 3.469

2.  Deep learning enables genetic analysis of the human thoracic aorta.

Authors:  James P Pirruccello; Mark D Chaffin; Elizabeth L Chou; Stephen J Fleming; Honghuang Lin; Mahan Nekoui; Shaan Khurshid; Samuel F Friedman; Alexander G Bick; Alessandro Arduini; Lu-Chen Weng; Seung Hoan Choi; Amer-Denis Akkad; Puneet Batra; Nathan R Tucker; Amelia W Hall; Carolina Roselli; Emelia J Benjamin; Shamsudheen K Vellarikkal; Rajat M Gupta; Christian M Stegmann; Dejan Juric; James R Stone; Ramachandran S Vasan; Jennifer E Ho; Udo Hoffmann; Steven A Lubitz; Anthony A Philippakis; Mark E Lindsay; Patrick T Ellinor
Journal:  Nat Genet       Date:  2021-11-26       Impact factor: 41.307

  2 in total

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