Literature DB >> 29395211

Height alone, rather than body surface area, suffices for risk estimation in ascending aortic aneurysm.

Mohammad A Zafar1, Yupeng Li2, John A Rizzo3, Paris Charilaou1, Ayman Saeyeldin1, Camilo A Velasquez1, Ahmed M Mansour1, Syed Usman Bin Mahmood1, Wei-Guo Ma4, Adam J Brownstein1, Maryann Tranquilli1, Julia Dumfarth1, Panagiotis Theodoropoulos1, Kabir Thombre1, Maryam Tanweer1, Young Erben5, Sven Peterss6, Bulat A Ziganshin7, John A Elefteriades8.   

Abstract

BACKGROUND: In international guidelines, risk estimation for thoracic ascending aortic aneurysm (TAAA) is based on aortic diameter. We previously introduced the aortic size index (ASI), defined as aortic size/body surface area (BSA), as a predictor of aortic dissection, rupture, and death. However, weight might not contribute substantially to aortic size and growth. We seek to evaluate the height-based aortic height index (AHI) versus ASI for risk estimation and revisit our natural history calculations.
METHODS: Aortic diameters and long-term complications of 780 patients with TAAA were analyzed. Growth rate estimates, yearly complication rates, and survival were assessed. Risk stratification was performed using regression models. The predictive value of AHI and ASI was compared.
RESULTS: Patients were stratified into 4 categories of yearly risk of complications based on their ASI and AHI. ASIs (cm/m2) of ≤2.05, 2.08 to 2.95, 3.00 to 3.95 and ≥4, and AHIs (cm/m) of ≤2.43, 2.44 to 3.17, 3.21 to 4.06, and ≥4.1 were associated with a 4%, 7%, 12%, and 18% average yearly risk of complications, respectively. Five-year complication-free survival was progressively worse with increasing ASI and AHI. Both ASI and AHI were shown to be significant predictors of complications (P < .05). AHI categories 3.05 to 3.69, 3.70 to 4.34, and ≥4.35 cm/m were associated with a significantly increased risk of complications (P < .05). The overall fit of the model using AHI was modestly superior according to the concordance statistic.
CONCLUSIONS: Compared with indices including weight, the simpler height-based ratio (excluding weight and BSA calculations) yields satisfactory results for evaluating the risk of natural complications in patients with TAAA.
Copyright © 2017 The American Association for Thoracic Surgery. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  aortic height index; aortic rupture; ascending aorta; death; dissection; natural history; risk estimation; thoracic aortic aneurysm

Mesh:

Year:  2017        PMID: 29395211     DOI: 10.1016/j.jtcvs.2017.10.140

Source DB:  PubMed          Journal:  J Thorac Cardiovasc Surg        ISSN: 0022-5223            Impact factor:   5.209


  24 in total

1.  Symptoms Matter: A Symptomatic but Radiographically Elusive Ascending Aortic Dissection.

Authors:  Dimitra Papanikolaou; Mohammad A Zafar; Maryam Tanweer; Mahnoor Imran; Mohamed Abdelbaky; Bulat A Ziganshin; John A Elefteriades
Journal:  Int J Angiol       Date:  2018-11-29

2.  Obstructive Sleep Apnea and Structural/Functional Properties of the Thoracic Ascending Aorta: The Multi-Ethnic Study of Atherosclerosis (MESA).

Authors:  Younghoon Kwon; Jeongok Logan; Susan Redline; Daniel Duprez; David R Jacobs; Pamela Ouyang; W Greg Hundley; Joao Lima; David A Bluemke; Pamela L Lutsey
Journal:  Cardiology       Date:  2019-06-12       Impact factor: 1.869

3.  Association of Thoracic Aortic Aneurysm Size With Long-term Patient Outcomes: The KP-TAA Study.

Authors:  Matthew D Solomon; Thomas Leong; Sue Hee Sung; Catherine Lee; J Geoff Allen; Joseph Huh; Paul LaPunzina; Hon Lee; Duncan Mason; Vicken Melikian; Daniel Pellegrini; David Scoville; Ahmad Y Sheikh; Dorinna Mendoza; Sahar Naderi; Ann Sheridan; Xinge Hu; Wendy Cirimele; Anne Gisslow; Sandy Leung; Kristine Padilla; Michael Bloom; Josh Chung; Adrienne Topic; Paniz Vafaei; Robert Chang; D Craig Miller; David H Liang; Alan S Go
Journal:  JAMA Cardiol       Date:  2022-10-05       Impact factor: 30.154

Review 4.  Thoracic Aortic Dilation: Implications for Physical Activity and Sport Participation.

Authors:  Emanuele Monda; Federica Verrillo; Marta Rubino; Giuseppe Palmiero; Adelaide Fusco; Annapaola Cirillo; Martina Caiazza; Natale Guarnaccia; Alfredo Mauriello; Michele Lioncino; Alessia Perna; Gaetano Diana; Antonello D'Andrea; Eduardo Bossone; Paolo Calabrò; Giuseppe Limongelli
Journal:  Diagnostics (Basel)       Date:  2022-06-04

5.  Prevalence and Outcomes of Bicuspid Aortic Valve in Patients With Aneurysmal Sub-Arachnoid Hemorrhage: A Prospective Neurology Registry Report.

Authors:  Saarwaani Vallabhajosyula; Li-Tan Yang; Sarah C Thomas; Joseph J Maleszewski; Amber N Boler; Prabin Thapa; Maurice Enriquez-Sarano; Alejandro A Rabinstein; Hector I Michelena
Journal:  J Am Heart Assoc       Date:  2022-04-12       Impact factor: 6.106

Review 6.  Computational Hemodynamic Modeling of Arterial Aneurysms: A Mini-Review.

Authors:  Sarah N Lipp; Elizabeth E Niedert; Hannah L Cebull; Tyler C Diorio; Jessica L Ma; Sean M Rothenberger; Kimberly A Stevens Boster; Craig J Goergen
Journal:  Front Physiol       Date:  2020-05-12       Impact factor: 4.566

7.  Predicting in-hospital rupture of type A aortic dissection using Random Forest.

Authors:  Jinlin Wu; Juntao Qiu; Enzehua Xie; Wenxiang Jiang; Rui Zhao; Jiawei Qiu; Mohammad A Zafar; Yan Huang; Cuntao Yu
Journal:  J Thorac Dis       Date:  2019-11       Impact factor: 2.895

8.  Natural history of aortic root aneurysms in Marfan syndrome.

Authors:  Ayman Saeyeldin; Mohammad A Zafar; Camilo A Velasquez; Kevan Ip; Anton Gryaznov; Adam J Brownstein; Yupeng Li; John A Rizzo; Young Erben; Bulat A Ziganshin; John A Elefteriades
Journal:  Ann Cardiothorac Surg       Date:  2017-11

9.  Sex-Based Aortic Dissection Outcomes From the International Registry of Acute Aortic Dissection.

Authors:  Lauren V Huckaby; Ibrahim Sultan; Santi Trimarchi; Bradley Leshnower; Edward P Chen; Derek R Brinster; Truls Myrmel; Anthony L Estrera; Daniel G Montgomery; Amit Korach; Hans-Henning Eckstein; Joseph S Coselli; Takeyoshi Ota; Clayton A Kaiser; Kim A Eagle; Himanshu J Patel; Thomas G Gleason
Journal:  Ann Thorac Surg       Date:  2021-06-02       Impact factor: 5.102

10.  Deep Learning Improves the Temporal Reproducibility of Aortic Measurement.

Authors:  Alex Bratt; Daniel J Blezek; William J Ryan; Kenneth A Philbrick; Prabhakar Rajiah; Yasmeen K Tandon; Lara A Walkoff; Jason C Cai; Emily N Sheedy; Panagiotis Korfiatis; Eric E Williamson; Bradley J Erickson; Jeremy D Collins
Journal:  J Digit Imaging       Date:  2021-05-28       Impact factor: 4.903

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